Tag: Mathematics

Surath Ghosh, Mathematics, Best Researcher Award

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Dr. Surath Ghosh: Assistant Professor at Vellore Institute of Technology – Chennai Campus, India

Dr. Surath Ghosh is an accomplished academic and researcher currently serving as an Assistant Professor at the Department of Mathematics, Vellore Institute of Technology (VIT), Chennai, India. He specializes in fractional calculus, numerical analysis, and mathematical modeling. After completing his Ph.D. in Mathematics from the National Institute of Technology Jamshedpur (NIT Jamshedpur) in 2022, his research has focused on developing new numerical methods and analytical techniques to solve complex fractional-order differential equations that arise in diverse fields, such as mathematical physics, population dynamics, and bio-mathematics. Dr. Ghosh has a passion for using advanced computational techniques to solve real-world problems and has published extensively in high-impact journals.

Online Profiles

Google Scholar Profile

Dr. Surath Ghosh’s academic work has garnered significant attention and recognition in the research community. As of now, his published papers have accumulated 463 citations, with a notable h-index of 8, indicating that at least 8 of his papers have each been cited 8 or more times. His i10-index stands at 6, meaning that 6 of his publications have received 10 or more citations each. These metrics highlight the growing impact of his work in the fields of fractional calculus, numerical analysis, and applied mathematics.

Education

Dr. Ghosh’s academic journey is marked by a strong foundation in both pure and applied mathematics. He completed his Ph.D. in Mathematics at NIT Jamshedpur in 2022, with a dissertation focusing on Numerical and Analytical Solutions of Fractional Models of Mathematical Physics with New Operators. Prior to his Ph.D., he earned an M.Tech. in Computer Science & Data Processing from IIT Kharagpur (2018), followed by an M.Sc. in Mathematics from Visva Bharati University (2015). He completed his B.Sc. in Mathematics from the University of Burdwan in 2013, where he developed a keen interest in advanced mathematical modeling and computational methods.

Research Focus

Dr. Ghosh’s research interests are primarily centered around fractional calculus and its applications in solving complex mathematical models. His work involves using fractional operators to model physical and biological systems more accurately, taking into account memory effects and non-local phenomena. He also focuses on the development of robust numerical methods such as spectral methods and wavelet-based techniques for solving fractional-order differential equations, which have broad applications in nonlinear dynamics, population biology, and fluid dynamics. Additionally, Dr. Ghosh explores computational techniques in theoretical computer science, further bridging the gap between mathematics and technology.

Experience

Dr. Ghosh has rich academic and research experience across multiple institutions. Before joining VIT Chennai in 2022, he served as an Assistant Professor at JECRC University, Jaipur (2021-2022). He also worked as a Senior Research Fellow and Junior Research Fellow at NIT Jamshedpur, where he contributed significantly to research on fractional calculus and mathematical modeling. Dr. Ghosh has also been a Teaching Assistant at IIT Kharagpur, where he assisted in undergraduate-level courses, such as C Programming Lab. His diverse teaching roles across various levels and courses have allowed him to develop a comprehensive understanding of both theoretical and applied mathematics.

Research Timeline & Activities

Dr. Ghosh’s research journey began during his M.Tech. studies at IIT Kharagpur, where he worked on mining frequent patterns in transactional databases. Following his transition to NIT Jamshedpur for his Ph.D., his focus shifted toward fractional calculus and its numerical solutions. His research has spanned a wide range of topics, including heat equations, population dynamics, and the modeling of physical phenomena using fractional differential equations. Dr. Ghosh’s research timeline also includes active participation in workshops, conferences, and training programs, both as a participant and presenter. Notable conferences include the International Conference on Mathematical Analysis & Applications (2020) and International Conference on Mathematical Modelling, Applied Analysis, and Computation (2021).

Awards & Honors

Dr. Ghosh has received numerous accolades throughout his academic career. Notable honors include a GATE fellowship in 2015 and a prestigious government scholarship for higher education. His paper on the analysis of heat equations, published in Mathematical Methods in the Applied Sciences, was recognized as a Top Cited Article for 2020-2021. His contributions to the field of fractional calculus and applied mathematics have earned him widespread recognition, and his research has been featured in high-impact journals. He has also been a recipient of several fellowships and grants for his research projects.

Top Noted Publication

One of Dr. Ghosh’s top publications is “An analysis for heat equations arising in diffusion process using new Yang-Abdel-Aty Cattani fractional operator”, published in Mathematical Methods in the Applied Sciences (SCI, Q2, Impact Factor – 1.8). This work was selected as a Top Cited Article for the 2020-2021 period, highlighting its significance in advancing the study of fractional operators in diffusion processes. This paper demonstrates the application of fractional calculus in understanding complex diffusion dynamics, and its recognition attests to its impact within the mathematical sciences community. Dr. Ghosh has authored or co-authored multiple other impactful publications in journals such as Numerical Methods for Partial Differential Equations, Applied Numerical Mathematics, and International Journal of Applied and Computational Mathematics.

  • An analysis for heat equations arising in diffusion processes using the new Yang-Abdel-Aty-Cattani fractional operator
    S. Kumar, S. Ghosh, B. Samet, E.F.D. Goufo
    Mathematical Methods in the Applied Sciences, 43 (9), 6062-6080 (2020)
    Citations: 220
    This paper focuses on heat equations in the context of diffusion processes, utilizing a novel Yang-Abdel-Aty-Cattani fractional operator. It offers valuable insights into the theoretical modeling of fractional phenomena in mathematical physics.

  • A fractional model for population dynamics of two interacting species using spectral and Hermite wavelets methods
    S. Kumar, S. Ghosh, R. Kumar, M. Jleli
    Numerical Methods for Partial Differential Equations, 37 (2), 1652-1672 (2021)
    Citations: 84
    This publication presents a fractional-order model for the population dynamics of two species interacting with each other. The research employs advanced wavelet methods to analyze and solve the system numerically.

  • A model for describing the velocity of a particle in Brownian motion by Robotnov function-based fractional operator
    S. Kumar, S. Ghosh, M.S.M. Lotayif, B. Samet
    Alexandria Engineering Journal, 59 (3), 1435-1449 (2020)
    Citations: 72
    This paper introduces a new model using the Robotnov function-based fractional operator to describe the velocity of a particle in Brownian motion, an important area of study in statistical physics and applied mathematics.

  • A fractional system of Cauchy-reaction diffusion equations by adopting Robotnov function
    S. Kumar, S. Ghosh, M. Jleli, S. Araci
    Numerical Methods for Partial Differential Equations, 38 (3), 470-489 (2022)
    Citations: 15
    This work extends the Robotnov fractional operator to solve Cauchy-reaction diffusion equations, contributing to the broader application of fractional calculus in solving complex reaction-diffusion systems.

  • Spectral approximation methods for nonequilibrium transport in turbulent channel flows using fADE
    S. Ghosh, S. Kundu, S. Kumar, E.E. Mahmoud
    Applied Numerical Mathematics, 162, 53-66 (2021)
    Citations: 14
    This study develops spectral approximation techniques for modeling nonequilibrium transport in turbulent channel flows using the fractional Advection-Dispersion Equation (fADE), enhancing the modeling capabilities for complex fluid dynamics.

Strength for the Best Researcher Award

  1. Innovative Research in Fractional Calculus
    Dr. Surath Ghosh’s expertise in fractional calculus has significantly contributed to advancing mathematical modeling techniques in various scientific disciplines. His work in introducing novel fractional operators, such as the Yang-Abdel-Aty-Cattani fractional operator and Robotnov function-based fractional operators, has expanded the theoretical framework for modeling complex phenomena such as diffusion processes, population dynamics, and Brownian motion. This innovative approach demonstrates his leadership in the field and positions him as a top researcher in fractional calculus.

  2. High Impact Publications and Citations
    Dr. Ghosh has an impressive publication record, with multiple highly cited articles in renowned journals like Mathematical Methods in the Applied Sciences and Numerical Methods for Partial Differential Equations. His work has garnered 463 citations, and he maintains a respectable h-index of 8, signifying the broad impact of his research on the academic community. The recognition of his publication “An analysis for heat equations arising in diffusion processes” as a Top Cited Article for 2020-2021 further exemplifies his research’s influence in advancing mathematical modeling.

  3. Pioneering Numerical Methods for Complex Systems
    A major strength of Dr. Ghosh’s research lies in the development of robust and efficient numerical methods for solving fractional-order differential equations. His application of spectral and wavelet-based methods has provided new ways to address complex models in areas like population biology, fluid dynamics, and nonlinear dynamics. This expertise is particularly relevant for solving real-world problems involving systems with memory effects, such as ecological models or turbulence in fluid flows.

  4. Multidisciplinary Approach and Real-World Applications
    Dr. Ghosh’s research seamlessly bridges mathematics, physics, and computational science. His work on fractional models of physical phenomena, like heat diffusion and Brownian motion, is paired with practical applications in population dynamics and bio-mathematics. This multidisciplinary approach not only advances theoretical research but also addresses pressing challenges in applied sciences, making Dr. Ghosh’s contributions both academically and socially impactful.

  5. Recognition and Honors in Academic Community
    Dr. Ghosh’s contributions to the field of fractional calculus and mathematical modeling have been widely recognized through prestigious awards and honors. These include fellowships such as the GATE fellowship, a government scholarship for higher education, and multiple research grants. His active participation in international conferences and workshops, as well as his contributions to high-impact journals, further highlight his ongoing influence and leadership in his field. His recognition as a Top Cited Author for 2020-2021 underlines the long-term value and relevance of his research.

EL HARFI ABDELHADI, Mathematics, Innovative Researcher Award

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Prof. EL HARFI ABDELHADI: Teaching and training, Department of mathematics, Regional Center of Education and Formation Professions Souss Massa, Agadir, Morocco

Abdelhadi EL HARFI is a Professor of Higher Education in Mathematics at the Regional Center for Education and Training Professions (CRMEF) Souss-Massa, Morocco. He specializes in the control theory of partial differential equations (PDEs), with a particular focus on the stabilization and motion planning of infinite-dimensional dynamical systems. Over his career, he has contributed extensively to both theoretical mathematics and applied engineering problems, such as vibration control in flexible cables and overhead crane systems. EL HARFI is also an active academic leader and mentor, guiding doctoral students and participating in educational reforms.

Online Profiles

Ahmed Elharfi is a prominent researcher affiliated with Université Ibn Tofail, Kenitra, Morocco. His work spans across materials science, polymer chemistry, and nanotechnology, with a strong focus on polymer synthesis, functional materials, and their applications in industry and environmental science. According to Scopus, he has authored 70 publications, accumulating 3,568 citations across 2,213 documents, with an h-index of 24, reflecting the significant impact and consistency of his research.

Education

Professor EL HARFI holds a Ph.D. in Mathematics, with a research focus on infinite-dimensional control systems and partial differential equations. His doctoral thesis developed innovative boundary feedback laws for stabilizing classes of parabolic and hyperbolic PDEs. His educational journey includes rigorous training in functional analysis, semigroup theory, and applied mathematics, equipping him with the theoretical tools necessary to address complex control problems.

Research Focus

His research centers on the stabilization, control optimization, and trajectory planning of dynamical systems governed by 1-D and 2-D parabolic and hyperbolic PDEs. He explores boundary control, output-feedback stabilization, and exponential stability conditions, applying semigroup theory and operator analysis. EL HARFI’s work bridges pure mathematics and engineering, solving practical control problems in mechanical systems while contributing to foundational mathematical theory.

Experience

With more than 15 years in academia, Professor EL HARFI has held several teaching and leadership roles at CRMEF Souss-Massa. He has coordinated mathematics departments and modules focused on foundational mathematical education for teacher training. His extensive involvement in doctoral supervision and jury panels highlights his commitment to cultivating research excellence. Additionally, he actively contributes to national scientific committees and curriculum development initiatives.

Research Timeline & Activities

From 2006 to the present, Professor EL HARFI has published over a dozen peer-reviewed journal articles, authored research monographs, and presented at numerous national and international conferences. His research has evolved from the foundational control of infinite-dimensional systems to advanced motion planning for hyperbolic PDEs and applications in engineering. He has also served as a reviewer for high-impact journals and acted as a referee for book chapters and conference papers, underscoring his standing in the mathematical community.

Awards & Honors

In recognition of his scholarly rigor and service, EL HARFI received the Excellence in Reviewing Award from the Journal of Advances in Mathematics and Computer Science. He has been invited as a principal speaker at international workshops and serves regularly as a jury member for academic recruitment and thesis defense panels. His leadership in educational reform and his expert role in bridging research and professional practice have earned him respect across Moroccan academic and scientific institutions.

Top Noted Publication

Among his influential works, the 2017 paper “Exponential stabilization and motion planning of an overhead crane system,” published in the IMA Journal of Mathematical Control and Information, stands out. This publication offers innovative methods to suppress unwanted oscillations in crane systems via boundary control techniques, providing both theoretical insight and practical engineering applications. The paper is widely cited for its rigorous analysis and applicability in mechanical engineering and control theory.

  1. Polymer Composite Materials: A Comprehensive Review
    Journal: [Details not provided]
    Year: [Likely pre-2021]
    Citations: 836
    Type: Review Article
    Summary: Offers an extensive overview of polymer composites, their types, fabrication methods, and applications across industries. Highly cited in materials and polymer research.

  2. Synthesis and Anticorrosive Properties of Epoxy Polymer for Carbon Steel in 1 M HCl Solution: Electrochemical, AFM, DFT and MD Simulations
    Journal: Construction and Building Materials, 2021
    Citations: 125
    Type: Research Article
    Summary: Combines experimental and simulation techniques to design an effective epoxy-based corrosion inhibitor for acidic environments.

  3. Performance of Two New Epoxy Resins as Potential Corrosion Inhibitors for Carbon Steel in 1 M HCl Medium: Combining Experimental and Computational Approaches
    Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2021
    Citations: 88
    Type: Research Article
    Summary: Investigates newly synthesized epoxy resins and evaluates their protective performance through electrochemical and modeling methods.

  4. New Epoxy Composite Polymers as a Potential Anticorrosive Coating for Carbon Steel in 3.5% NaCl Solution: Experimental and Computational Approaches
    Journal: [Details not provided]
    Year: [2021]
    Citations: 73
    Type: Research Article
    Summary: Evaluates novel polymer composites in saline media, combining lab experiments with computational corrosion analysis.

  5. One-pot Synthesis of Trifunctional Epoxy Resin and Its Nanocomposite: Investigation of Thermal and Rheological Properties
    Journal: Biointerface Research in Applied Chemistry, 2021
    Citations: 16
    Type: Open Access Article
    Summary: Describes a simple synthesis route for advanced multifunctional epoxy resins and analyzes their thermal and flow behavior.

  6. Improve of the Compressive Strength of Cementitious Matrices Based on the Ion Exchange Resin by Introducing the Modified Novolac Epoxy Polymer
    Journal: Journal of Chemical Technology and Metallurgy, 2021
    Citations: 1
    Type: Research Article
    Summary: Investigates how integrating modified epoxy polymers enhances the mechanical performance of cement-based materials.

Strength for the Innovative Researcher Award

1. Pioneering Research in Control of Infinite-Dimensional Systems

Prof. Abdelhadi EL HARFI has demonstrated exceptional innovation in the mathematical control of partial differential equations (PDEs), particularly in the stabilization and motion planning of infinite-dimensional dynamical systems. His original contributions in boundary feedback design and semigroup theory have opened new directions in control theory and engineering applications.

2. High-Impact Publications in Applied Polymer Science

Prof. Ahmed Elharfi’s work in developing advanced polymer composite materials and anticorrosive coatings has significantly impacted materials science. With over 3,500 citations and several top-cited articles, his research bridges fundamental chemistry and industrial applications, making him a leader in functional material innovation.

3. Excellence in Interdisciplinary Application of Theory

Both researchers stand out for applying rigorous theoretical foundations to solve real-world problems—whether it be vibration control in mechanical systems or improving corrosion resistance in harsh environments. This ability to translate deep theory into practice illustrates true research innovation.

4. Commitment to Educational Advancement and Mentorship

Prof. EL HARFI’s leadership in curriculum reform, doctoral supervision, and teacher education reflects a strong commitment to shaping the next generation of educators and researchers. His contributions to academic structures and national educational policy amplify the reach of his research.

5. Recognition through Peer Esteem and Scholarly Service

Both scholars serve as reviewers for international journals, members of thesis and recruitment juries, and speakers at global conferences. Awards such as “Excellence in Reviewing” and their repeated invitations to serve in high-level academic roles underscore their credibility and influence in the global research community.

Pintu Das, Mathematics, Best Innovator Award

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Dr. Pintu Das: Assistant Professor at Sarala Birla University, India

Dr. Pintu Das is an Assistant Professor and currently the In-Charge of the Department of Mathematics at Sarala Birla University, Ranchi, Jharkhand. He is a dedicated academician and researcher with expertise in solute transport modelling, hydrodynamics dispersion, differential equations, and mathematical modelling. His work integrates advanced analytical and numerical techniques to address complex issues related to groundwater contamination, porous media, and fluid dynamics. With more than a decade of academic and research experience, Dr. Das has contributed significantly through publications in SCI, Scopus, and other reputed journals, along with presentations at international and national conferences. His research bridges theory and practical applications, particularly focusing on water quality assessment and environmental sustainability.

Online Profiles

Google Scholar Profile

Dr. Das maintains a strong academic presence across multiple research platforms. His Google Scholar profile reflects 164 citations, an h-index of 7, and an i10-index of 5, showcasing the impact of his research. His Scopus Author ID (57215382274), ORCID (0009-0003-1323-2003), and Web of Science Publons (NCV-4672-2025) document his peer-review contributions and indexed publications. Additionally, he actively shares and engages with the academic community through ResearchGate, SSRN, and Academia.edu, making his research widely accessible to global scholars.

Education

Dr. Das earned his Ph.D. in Applied Mathematics from the prestigious Indian Institute of Technology (Indian School of Mines), Dhanbad, with his doctoral thesis titled “Solute Dispersion with Unsteady Groundwater Flow in Porous Formation.” Before that, he completed his M.Phil. in Applied Mathematics (2011) at IIT(ISM) with an impressive OGPA of 8.78, presenting a thesis on solute transport modelling in semi-infinite aquifers. He received his M.Sc. in Mathematics from P.K. Roy Memorial College, Dhanbad (2009) and B.Sc. (Hons.) in Mathematics from R.S.P. College, Jharia (2007), both under VBU Hazaribagh, graduating with first-class distinction throughout his academic career.

Research Focus

His primary research interests lie in groundwater contamination and solute transport modelling in porous media, using both analytical and numerical frameworks. He has worked extensively on groundwater quality assessment, pollutant dispersion under varying hydrogeological conditions, and mathematical modelling of fluid flow in complex environments. His work also explores differential equations, hydrodynamic dispersion, and water analysis, contributing to both theoretical advances and practical solutions for environmental challenges.

Professional Experience

Dr. Das began his teaching journey as a Part-Time Lecturer at BIT Sindri in 2011. From 2016 to 2018, he worked as a Research Associate at the Department of Applied Mathematics, IIT(ISM), where he deepened his expertise in applied mathematics and modelling. Since 2018, he has been serving as an Assistant Professor at Sarala Birla University, Ranchi, where he has also taken the role of Department In-Charge, contributing to curriculum development, departmental leadership, and guiding young researchers.

Research Timeline & Activities

Over the years, Dr. Das has supervised multiple Ph.D. scholars and undergraduate projects, with research spanning analytical solutions of heat and wave equations, solute dispersion problems in aquifers, and water quality modelling across Ranchi district. His academic output includes more than 22 peer-reviewed journal articles, several conference proceedings, and numerous international presentations. His research journey demonstrates a steady expansion from theoretical studies of solute dispersion to applied assessments of water quality and environmental sustainability, bridging mathematical theory with real-world environmental challenges.

Awards & Honors

Dr. Das has consistently demonstrated academic excellence, securing first class throughout his academic career. His impactful research has earned him recognition through conference presentations across India and abroad, including Turkey and other international platforms. His role as a co-guide and supervisor of Ph.D. scholars further reflects his academic leadership. His contributions have also been acknowledged by his active participation in high-level workshops, FDPs, and international collaborations on sustainable water resource management.

Top-Noted Publications

  • Scale dependent solute dispersion with linear isotherm in heterogeneous medium
    MK Singh, P Das – Journal of Hydrology 520, 289-299 (2015) – 45 citations

  • Mathematical modeling of groundwater contamination with varying velocity field
    P Das, S Begam, MK Singh – Journal of Hydrology and Hydromechanics 65 (2), 192-204 (2017) – 42 citations

  • Mathematical modeling for solute transport in aquifer
    MK Singh, VP Singh, P Das – Journal of Hydroinformatics 18 (3), 481-499 (2016) – 27 citations

  • Solute transport in a semi-infinite geological formation with variable porosity
    MK Singh, P Das, VP Singh – Journal of Engineering Mechanics 141 (11), 04015043 (2015) – 15 citations

  • Solute transport modelling with the variable temporally dependent boundary
    P Das, A Akhter, MK Singh – Sādhanā 43 (1), 12 (2018) – 11 citations

  • One-dimensional solute transport in porous formations with time-varying dispersion
    P Das, MK Singh – Journal of Porous Media 22 (10), (2019) – 8 citations

Strengths for the Best Innovator Award

  1. Expertise in Groundwater and Environmental Modeling
    Dr. Das has extensive experience in solute transport modelling, hydrodynamic dispersion, and mathematical approaches to groundwater contamination, demonstrating innovative solutions to environmental challenges.

  2. Strong Research Output with Global Recognition
    With over 160 citations, an h-index of 7, and publications in high-impact SCI and Scopus-indexed journals, his research has made a measurable impact in hydrogeology and applied mathematics, reflecting thought leadership and scholarly innovation.

  3. Integration of Theory with Practical Applications
    His work bridges advanced mathematical modelling and real-world water quality assessment, including analytical and numerical solutions for porous media and aquifer contamination, highlighting applied innovation.

  4. Mentorship and Capacity Building
    He has guided multiple Ph.D. scholars and undergraduate projects, fostering the next generation of researchers and promoting innovative methodologies in environmental and mathematical sciences.

  5. Active International Collaboration and Knowledge Dissemination
    Dr. Das has presented his research at numerous international conferences, workshops, and webinars, organized FDPs and webinars, and actively engaged in professional societies, reflecting his ability to innovate and share knowledge globally.

Birojit Das, Mathematics, Young Researcher Award

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Asst. Prof. Birojit Das: Assistant Professor at Amity University Kolkata, India

Dr. Birojit Das is an accomplished mathematician and Assistant Professor at Amity University Kolkata, India, with specialized expertise in uncertainty theory, fuzzy mathematics, and sequence spaces. He completed his Ph.D. at the National Institute of Technology Agartala, where he focused on the theory of complex uncertain variables and matrix transformations. His work bridges abstract mathematical theory with practical applications, contributing significantly to the development of uncertainty theory—a field initiated by Prof. Boading Liu.

Online Profiles

Google Scholar Profile

Dr. Das actively engages with the global research community through profiles on platforms like ResearchGate, Google Scholar, and ORCID, where he disseminates his extensive body of work. He is also a life member of professional societies including The Indian Mathematical Society and The Indian Science Congress Association. Furthermore, he serves as a reviewer for multiple respected international journals in mathematics, uncertainty, and fuzzy systems, reflecting his recognized expertise in the field.

Dr. Birojit Das has a total of over 400 citations across his publications, with an h-index of 12 and an i10-index of 15, reflecting the consistent impact and recognition of his research within the academic community.

Education

Dr. Das completed his early education in Tripura, India, followed by a BSc in Mathematics from MBB College with a 70% score and an MSc in Mathematics at NIT Agartala, achieving a 9.33 CGPA. He pursued his Ph.D. from 2017 to 2021 at NIT Agartala, where his dissertation titled “A Study on Sequences of Complex Uncertain Variable and Matrix Transformation” explored convergence and transformation theories within uncertainty spaces, laying a strong foundation for his future research career.

Research Focus

His primary research interest lies in uncertainty theory and credibility theory, with a focus on the convergence properties of uncertain sequences and series. He explores both weak and strong convergence, matrix transformations, and the introduction of new convergence concepts within uncertain sequence spaces. Additionally, Dr. Das delves into fuzzy topological structures and their operational mechanisms, contributing to advancements in fuzzy bitopological spaces and neutrosophic metric spaces.

Experience

Dr. Das has accumulated diverse academic experience starting as a Guest Lecturer and Ad-hoc Faculty at several prestigious institutions such as NIT Warangal and NIT Jalandhar. Since July 2024, he has been an Assistant Professor at Amity University Kolkata. He also participated in specialized training programs like the Mini-MTTS in 2013 and engaged in knowledge exchange activities at Tsinghua University, China, further enriching his academic and research skills.

Research Timeline & Activities

Since beginning his Ph.D. research in 2017, Dr. Das has developed a prolific publication record with over 50 articles in international journals, steadily increasing his h-index to 12. He has presented keynote speeches and invited lectures at top global universities and conferences including Tsinghua University, Yangzhou University, and the Alfred Renyi Institute of Mathematics in Hungary. His collaborations often focus on applying uncertainty theory to sequence spaces and advancing theoretical frameworks in this emerging domain.

Awards & Honors

Dr. Das has been recognized with numerous accolades, such as the Gold Medal from NIT Agartala for academic excellence and several Best Research Paper Awards at international conferences, including the 6th International Conference on Uncertainty Theory. He was honored with the Bharat Ratna Mother Teresa Gold Medal Award and twice received the B.R. Ambedkar Prize from the Tripura State Government. His research is highly regarded by prominent scholars, including an invitation by Prof. Boading Liu to deliver invited lectures at Tsinghua University.

Top Noted Publication

A highly cited work is his article “Statistical convergence of complex uncertain triple sequence,” published in Communications in Statistics—Theory and Methods, which has garnered over 40 citations. This paper is considered seminal in extending the framework of statistical convergence to complex uncertain sequences, highlighting Dr. Das’s pivotal role in progressing uncertainty theory and its applications to functional analysis and sequence spaces.

Dr. Birojit Das has contributed several highly cited works in the field of uncertainty theory and sequence spaces. Notable publications include:

  • Characterization of statistical convergence of complex uncertain double sequences (2020, Analysis and Mathematical Physics), cited 56 times.

  • Statistical convergence of complex uncertain triple sequences (2021, Communications in Statistics-Theory and Methods), cited 43 times.

  • Almost convergence of complex uncertain triple sequences (2021, Proceedings of the National Academy of Sciences, India), cited 32 times.

  • Some Continuous Neutrosophic Distributions with Neutrosophic Parameters Based on Neutrosophic Random Variables (2022, Advances in the Theory of Nonlinear Analysis and its Application), cited 26 times.

  • On strongly almost λ-convergence and statistically almost λ-convergence in the environment of uncertainty (2022, International Journal of General Systems), cited 25 times.

These influential papers reflect Dr. Das’s deep engagement with complex uncertain sequences and convergence concepts, underpinning his leading role in the advancement of uncertainty theory.

Strengths for the Best Innovator Award

  1. Pioneering Research in Uncertainty Theory:
    Dr. Birojit Das has significantly advanced the theory of complex uncertain sequences, introducing novel concepts of statistical and almost convergence in uncertain and neutrosophic environments. His work bridges classical mathematical theory with emerging fields, fostering new methods for handling uncertainty in mathematical analysis.

  2. High Research Impact and Recognition:
    With over 400 citations, an h-index of 12, and multiple highly cited publications in prestigious journals, Dr. Das’s research has demonstrated consistent academic influence. His work is recognized globally, evidenced by invitations to deliver lectures at leading universities such as Tsinghua University and the Alfred Renyi Institute.

  3. Innovative Applications of Abstract Theory:
    Beyond theoretical contributions, Dr. Das explores practical applications of uncertainty and fuzzy mathematics in diverse fields, such as neutrosophic distributions and fuzzy topological spaces. This interdisciplinary approach showcases his ability to translate complex mathematical ideas into tools with broad applicability.

  4. Active International Collaboration and Knowledge Exchange:
    Dr. Das has engaged with global academic communities through research collaborations, keynote speeches, and training programs, including notable exchanges at Tsinghua University, China. This reflects his commitment to innovation through global partnerships and continuous learning.

  5. Recognition Through Prestigious Awards and Leadership:
    His achievements include gold medals for academic excellence, best research paper awards, and esteemed honors such as the Bharat Ratna Mother Teresa Gold Medal Award. These accolades reflect both the quality and innovation of his work, marking him as a leader in uncertainty theory and applied mathematics.

Sandeep Kumar Mogha, Mathematics, Best Innovator Award

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Assoc. Prof. Sandeep Kumar Mogha: Associate Professor at University of Delhi, India

Dr. Sandeep Kumar Mogha is an accomplished academic and researcher, currently serving as an Associate Professor in the Department of Mathematics at Chandigarh University, Mohali, Punjab. He has an extensive teaching experience of over a decade, specializing in applied mathematics and statistical techniques such as Data Envelopment Analysis (DEA). His research primarily focuses on efficiency measurement in the healthcare sector, particularly public sector hospitals. Beyond teaching, Dr. Mogha is actively involved in various administrative and academic responsibilities, including conference organization, student guidance, and curriculum development. He is deeply committed to the development of mathematical research that addresses real-world challenges.

Online Profiles

ORCID Profile

Education

Dr. Sandeep Kumar Mogha holds a Ph.D. in Mathematics from IIT Roorkee (2014), with a thesis focused on the efficiency measurement of public sector hospitals using the DEA technique. His academic journey also includes an M.Sc. in Mathematics (2007), an M.Phil. in Mathematics (2010), and a B.Ed. in Mathematical Science (2008) from C.C.S. University, Meerut, where he also earned a B.Sc. in Physical Sciences. Throughout his educational career, Dr. Mogha has consistently demonstrated academic excellence, which forms the bedrock of his teaching and research endeavors.

Research Focus

Dr. Mogha’s research interests are centered around the application of mathematical modeling and optimization techniques to real-world problems, particularly within the healthcare sector. He is especially focused on the use of Data Envelopment Analysis (DEA) to measure the efficiency of public sector hospitals, aiming to improve operational practices and optimize resource allocation. In addition to healthcare, his research spans across areas like operational research, mathematical optimization, and decision-making processes in public administration and economics. His work seeks to bridge the gap between theoretical mathematics and practical applications, making it highly relevant to policy-making and organizational improvement.

Experience

Dr. Mogha has a total teaching and research experience of over 10 years and 9 months, during which he has taught undergraduate and postgraduate courses in mathematics, supervised research projects, and mentored numerous students. In addition to his teaching, he has actively contributed to the academic growth of the university by organizing and moderating academic events, such as conferences and workshops. His administrative roles include serving as the ERP/Time Table Coordinator and Departmental International Activity Coordinator, where he plays a pivotal role in curriculum planning and coordinating international academic exchanges. His contributions extend beyond teaching into the operational and strategic functions of the department and university.

Research Timeline & Activities

Dr. Mogha’s research journey began with his doctoral thesis on the efficiency of public sector hospitals in Uttarakhand, which was completed in 2014. Since then, his research has continuously evolved, focusing on optimizing healthcare systems, with applications of mathematical techniques in decision-making, resource allocation, and performance evaluation. He has published over 16 peer-reviewed journal papers, 15 conference proceedings, and contributed a book chapter. Dr. Mogha is actively involved in organizing and attending international conferences, contributing to the global discourse on mathematical applications in healthcare. His research has not only been recognized nationally but also internationally, as evidenced by his participation in global conferences, such as the one held at Malaya University, Malaysia, for which he received a DST grant.

Awards & Honors

Dr. Mogha has been the recipient of several prestigious awards and honors throughout his academic career. In December 2008, he qualified for the UGC-JRF (Junior Research Fellowship), which further supported his academic and research pursuits. In 2014, he was awarded a DST (Department of Science and Technology) grant to attend an international conference at Malaya University, Malaysia. His work has been recognized by various academic bodies, and he has been invited to chair sessions at national and international conferences. These accolades reflect his commitment to excellence in both teaching and research and his significant contributions to the field of mathematics.

Top Noted Publication

One of Dr. Mogha’s most impactful publications is his research on the efficiency measurement of public sector hospitals in Uttarakhand through DEA techniques, which served as the foundation for his Ph.D. thesis. This work has received substantial recognition in the academic community and has been widely cited in research related to healthcare management and operational efficiency. The study has been instrumental in understanding the application of mathematical techniques in healthcare systems and has led to several collaborations and further research in the domain of healthcare optimization. This publication remains one of the top references in the field of efficiency analysis using DEA in public administration.

  1. Benchmarking the Performance of Hotels and Restaurants in India: A Slack-Based Measure Approach
    Published in: OPSEARCH, 2025-08-20
    DOI: 10.1007/s12597-025-01000-1
    Contributors: Sandeep Kumar Mogha; R. K. Pavan Kumar Pannala
    This paper presents a Slack-Based Measure (SBM) approach for benchmarking the performance of hotels and restaurants in India. It evaluates the operational efficiency of these establishments, providing insights into how they can improve resource management and service quality.

  2. Innovative Guava Leaf Spot Acuteness Assessment with YOLOv5 and Attention Model
    Published in: Proceedings of the International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024
    DOI: 10.1109/IC2PCT60090.2024.10486664
    EID: 2-s2.0-85191195554
    Contributors: Chandel, R.; Mogha, S.K.; Shobhit; Singh, P.; Dongre, P.
    This conference paper explores an innovative YOLOv5-based attention model to assess the acuteness of Guava leaf spot diseases, showcasing the application of artificial intelligence in agriculture for disease detection and crop management.

  3. Evaluation of Efficiency and Ranking of Indian Hotels and Restaurants: A Bootstrap DEA Approach
    Published in: Benchmarking: An International Journal, 2024-01-09
    DOI: 10.1108/BIJ-07-2021-0443
    Contributors: Varun Mahajan; Sandeep Kumar Mogha; R.K. Pavan Kumar Pannala
    This study applies the Bootstrap Data Envelopment Analysis (DEA) method to evaluate the efficiency of Indian hotels and restaurants. The paper ranks these establishments and provides a methodology for performance optimization in the hospitality industry.

  4. An Improved Jaya Algorithm (IJAYA) for Optimization
    Published in: Lecture Notes in Networks and Systems, 2023
    DOI: 10.1007/978-981-19-9858-4_57
    EID: 2-s2.0-85161389817
    Contributors: Deshwal, S.; Kumar, P.; Mogha, S.
    The paper introduces an improved version of the Jaya algorithm (IJAYA), a powerful optimization technique for solving complex mathematical problems. This work aims to enhance optimization efficiency across various fields of engineering and applied mathematics.

  5. Efficiency Measurement at Major Ports of India During the Years 2013–14 to 2018–19: A Comparison of Results Obtained from DEA Model and DEA with Shannon Entropy Technique
    Published in: Lecture Notes in Networks and Systems, 2023
    DOI: 10.1007/978-981-19-6525-8_46
    EID: 2-s2.0-85150949995
    Contributors: Pannala, R.K.P.K.; Bhanu Prakash, N.; Mogha, S.K.
    This conference paper compares efficiency measurements of major Indian ports using traditional DEA models and the more advanced DEA with Shannon Entropy technique. The findings provide valuable insights into port management and the optimization of logistics and operations in maritime transportation.

Neha Verma, Mathematics, Best Innovator Award

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Dr. Neha Verma: Assistant Professor at Delhi Technological University, India

Neha Verma is a dedicated young mathematician who has recently submitted her Ph.D. thesis in Mathematics at Delhi Technological University, Delhi, India. Her academic journey demonstrates consistent excellence, beginning with her undergraduate and postgraduate studies at the University of Delhi, where she achieved outstanding academic results. She has cultivated a strong background in both pure and applied mathematics, which has led her to specialize in the field of Complex Analysis and Geometric Function Theory. Her doctoral work has focused on coefficient problems, Hankel determinants, and higher-order differential subordinations, areas that form the core of classical analytic function theory and remain central to modern mathematical research. Alongside her academic research, she has been actively engaged in teaching, mentoring, and guiding undergraduate students, thereby combining her expertise in mathematical theory with her passion for sharing knowledge.

Online Profiles

Google Scholar Profile

According to her Google Scholar profile, Neha Verma’s research contributions have been cited 31 times since 2020, reflecting the visibility and scholarly relevance of her work in Complex Analysis and Geometric Function Theory. Her h-index is 3, indicating that at least three of her publications have received three or more citations each, and her i10-index is 1, representing one publication with ten or more citations. These metrics demonstrate a growing impact and engagement of her research in the international mathematical community.

Education

Neha has demonstrated outstanding academic achievements at every stage of her education. She completed her Ph.D. in Mathematics (2021–2025, thesis submitted) at Delhi Technological University with a perfect CGPA of 10.0, reflecting her rigorous research capabilities and mastery of advanced mathematical concepts. Prior to that, she pursued her M.Sc. in Mathematics at the University of Delhi (2019–2021), securing a CGPA of 8.20/10.00, with coursework spanning advanced topics such as functional analysis, algebraic topology, and cryptography. Her undergraduate studies at the University of Delhi (2016–2019) also reflected academic distinction with a CGPA of 9.44/10.00, where she built a strong foundation in real analysis, algebra, and number theory. She achieved remarkable results in her schooling as well, earning 94% in Intermediate (2015) and 93.6% in High School (2013) at Vivekanand Senior Secondary School, which set the stage for her continued excellence in higher education.

Research Focus

Her research interests are primarily centered on Complex Analysis and Geometric Function Theory, two domains that play a significant role in both theoretical mathematics and its applications in applied sciences. In particular, she focuses on the study of subclasses of univalent and starlike functions, coefficient estimation problems, Hankel determinants, and differential subordination. Her work contributes to the broader understanding of function theory by addressing long-standing open problems, proposing conjectures, and providing sharp bounds for mathematical constructs that are critical in the field. Her publications have provided new insights into classes of analytic functions associated with geometric domains such as strip domains, cardioid functions, and petal-shaped regions. By combining classical approaches with modern computational methods, she continues to explore deeper aspects of geometric function theory and its extensions.

Experience

Neha has gained valuable academic and teaching experience during her doctoral program at Delhi Technological University. She has taught a range of theory subjects such as Probability and Statistics, Complex Analysis, Engineering Mathematics II, and Engineering Mathematics III, delivering lectures to undergraduate engineering and mathematics students. These experiences have strengthened her ability to present abstract mathematical concepts in an accessible manner. Additionally, she has served as a lab instructor for courses in C Programming, MATLAB, and Python from 2021 to 2024, thereby integrating computational approaches with mathematical analysis. Her dual focus on pure mathematics and computational tools demonstrates her versatility as both a researcher and educator, allowing her to effectively contribute to interdisciplinary academic settings.

Research Timeline & Activities

Between 2021 and 2025, Neha focused intensively on her doctoral research, publishing multiple papers in SCIE-indexed journals of international repute such as Mathematical Methods in the Applied Sciences, Complex Variables and Elliptic Equations, Mathematica Slovaca, and the Bulletin of the Belgian Mathematical Society. She has also been actively engaged in presenting her research findings at conferences across India, including events hosted by Shivaji College, Shyam Lal College, and JECRC University. Her participation in international online conferences, such as those organized by Dr. Ambedkar Government Arts College, Chennai, and Tezpur University, Assam, reflects her consistent effort to share her work with the broader mathematical community. This timeline highlights her steady academic growth, marked by a balance of research publications, conference presentations, and teaching activities.

Awards & Honors

Neha’s academic excellence has been recognized through prestigious awards and scholarships. She received the C. L. Rustogi Memorial Prize in 2016 for her outstanding performance during her undergraduate studies, highlighting her early distinction in mathematics. In 2017, she was awarded the Smt. Kamla Rani Ram Kishore Memorial Scholarship, recognizing her sustained academic merit and dedication to higher studies. These honors stand as early indicators of her commitment to academic rigor and research excellence, which have continued throughout her career.

Top Recent Publication

Among her recent scholarly contributions, her paper titled “On Sharp Bound of Third Hankel Determinant for Functions in S(α)”* published in Mathematical Methods in the Applied Sciences in 2025 stands out as a significant achievement. This work provides new results on sharp coefficient bounds related to Hankel determinants, addressing an area of active research in geometric function theory. The article not only advances the understanding of starlike functions but also establishes results with potential implications for complex function theory as a whole. [DOI: 10.1002/mma.11091]

  • S. S. Kumar and N. Verma, On Estimation of Hankel Determinants for Certain Class of Starlike Functions, Filomat, 39(12), pp. 3907–3930, 2025. (Cited 1 time)

  • S. S. Kumar and N. Verma, On a Subclass of Starlike Functions Associated with a Strip Domain, Ukrainian Mathematical Journal, 2025.
    (Earlier version: arXiv preprint arXiv:2312.15266, 2023; cited 2 times)

  • S. K. Shanmugam and N. Verma, Certain Coefficient Problems of Se and Ce, Tamkang Journal of Mathematics, 56(2), pp. 187–208, 2025.

  • S. S. Kumar and N. Verma, Higher Order Differential Subordinations for Certain Starlike Functions, Bulletin of the Belgian Mathematical Society Simon Stevin, 31(3), pp. 384–405, 2024. (Cited 2 times)

  • S. S. Kumar and N. Verma, Second and Third Order Differential Subordination for Exponential Function, arXiv preprint arXiv:2403.19712, 2024.

Akilbasha A, Mathematics, Best Researcher Award

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Doctorate Akilbasha A: Assistant Professor at Dr. Vishwanath Karad MIT World Peace University, Pune, India

Dr. A. Akilbasha is an accomplished academician, currently serving as an Assistant Professor and Research Coordinator at Dr. Vishwanath Karad MIT World Peace University, Pune. With a strong foundation in Applied Mathematics, he earned his Ph.D. from the prestigious Vellore Institute of Technology (VIT). His research primarily focuses on optimization techniques, decision-making frameworks, and the application of fuzzy and rough set theory in logistics, supply chain management, and transportation. With a passion for interdisciplinary research, Dr. Akilbasha has also made significant contributions to the theoretical foundations and real-world applications of mathematical models. His work has been widely recognized, and he continues to push the boundaries of research in applied mathematics.

Online Profiles

Dr. Akilbasha’s work can be accessed through several academic and professional profiles, demonstrating his dedication to advancing research in mathematical optimization and related fields:

  • Citations: 164 total, 134 in the last 5 years

  • h-index: 7

  • i10-index: 6

Education

Dr. Akilbasha’s academic background reflects a deep commitment to both theoretical and practical aspects of mathematics. His Ph.D. in Mathematics from VIT (2021) provided him with expertise in optimization and decision theory, allowing him to explore how mathematical models can solve complex real-world problems. He also holds an M.Phil. (2015) from VIT, where he graduated with a distinction of 90%, reflecting his dedication to excellence. His undergraduate education in Mathematics from Mazharul Uloom College (2007-2010) and his subsequent B.Ed. in Mathematics further fueled his passion for teaching and research, forming a robust foundation for his career in academia.

Research Focus

Dr. Akilbasha’s research focus lies at the intersection of optimization theory and applied mathematics. His work encompasses the use of fuzzy and rough set theory to model complex decision-making processes in fields such as logistics, supply chain management, and transportation. He employs advanced mathematical techniques to solve problems like transportation optimization, decision support systems, and sensitivity analysis. His research aims to offer practical solutions to industries that rely on optimization models to improve efficiency, reduce costs, and enhance decision-making processes in uncertain environments.

Experience

Dr. Akilbasha has held several important positions in academia and research. In addition to his current role at MIT World Peace University, Pune, where he coordinates the Ph.D. program, he has previously worked at B.S. Abdur Rahman Crescent Institute of Science & Technology, Chennai. His research experience includes working as a Senior and Junior Research Fellow at VIT, where he contributed to several key projects in optimization and fuzzy set theory. As a teacher, Dr. Akilbasha has designed and delivered courses on topics such as optimization, applied mathematics, and fuzzy systems, making significant contributions to the academic community and mentoring future scholars.

Research Timeline

  • March 2023: Supervision of Ph.D. scholar Miss. Tarishi Baranwal on “Optimization Techniques for Multi-Criteria Decision-Making”

  • August 2024: Supervision of Ph.D. scholar Miss. Tanishqa Veer on “Finite Difference Methods in Optimization Problems”

  • 2025: Collaboration on research projects with international institutions to expand research on sustainable optimization models for transportation networks

  • Present: Actively guiding research on fuzzy optimization models and their applications in logistics, while continuing to publish high-impact papers in leading journals.

Awards & Honors

Dr. Akilbasha’s scholarly contributions have been recognized with numerous awards and honors. These include the prestigious UGC Maulana Azad National Fellowship (2016-2021), which supported his doctoral research, and multiple Best Paper Awards at international conferences such as the 4th International Conference on Innovation and Sustainable Business Practices in the Digital Era (2025). He has been honored with Seven Consecutive Research Awards for his impactful publications at VIT, Vellore. His academic excellence is further underscored by his remarkable achievements in B.Sc. and M.Sc. Mathematics, where he secured 1st Rank & Centum in both programs at Mazharul Uloom College and Muthurangam Govt Arts College, Vellore.

Top-Noted Publications

  1. gendre polynomial based approximation of the Hessian for quasi-Newton optimization
    S. Panic
    Numerical Algorithms, 1-31, 2025

  2. An application of residue number system arithmetics to secure hash functions design
    M. Pavlović, S. Panić, B. Damjanović, N. Stamenković
    Bulletin of Natural Sciences Research, 15 (1), 2025

  3. Computing Descriptive Statistics of Bluetooth Signals Using a Neural Network
    M. Dejanović, S. Panić, D. Đošić, D. Milić
    2025 24th International Symposium INFOTEH-JAHORINA (INFOTEH), 1-5, 2025

  4. Application of neural networks in estimating second-order characteristics of shadowed fading channels
    S. Panic, M. Dejanovic, V. Milenkovic, D. Djosic, M. Gligorijevic
    Telecommunication Systems, 88 (1), 27, 2025

  5. On the shadowed Ricean model for land mobile satellite channels
    S. Panic, A. De, M. Veskovic
    Annals of Telecommunications, 1-7, 2025

  6. Enhancing Digital Image Correlation with Adaptive Wavelets: Addressing Complex Deformations and Lorenz Noise
    L. Mosurović, R. Ivkovic, S. Panić, R. Prodanović, M. Petrović, P. Spalević
    Defence Science Journal, 75 (4), 426, 2025

  7. Availability based maintenance analysis for system with repair time threshold
    N. Kontrec, S. Panić, B. Panić
    Yugoslav Journal of Operations Research, 3-3, 2025

Stefan Panic, Mathematics, Innovative Researcher Award

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Professor Stefan Panic: Researcher at Faculty of Science and Mathematics, University of Pristina, Serbia

Dr. Stefan Panic (PhD, MIEEE) is a distinguished Full Professor at the Faculty of Science and Mathematics, University of Pristina, Serbia. With over 15 years of academic and research experience, he has established himself as a leading expert in wireless communications and signal processing. His research spans across theoretical modeling, system design, and performance optimization for next-generation telecommunication systems. Known for his extensive publication record and international collaborations, Dr. Panic’s work has contributed significantly to advancements in 5G systems, cooperative networks, and optical wireless technologies. He is an invited editor, reviewer, and technical committee member for top-tier journals and conferences worldwide.

Online Profiles

Google Scholar Profile

Dr. Panic maintains active online research profiles to share his scholarly output and collaborations with the global academic community. His works can be explored on Google Scholar, ResearchGate, IEEE Xplore, and ORCID, reflecting his contributions to telecommunications, applied mathematics, and wireless system optimization. He is also reachable via LinkedIn for academic networking, research consultation, and collaborative opportunities. These platforms showcase his publication metrics, citation indices, co-authorship networks, and current projects.

Citation Metrics
Total Citations: 1,765

h-index: 21

i10-index: 49

Education

Dr. Panic received both his M.Tech and Ph.D. degrees in Telecommunications from the University of Nis, Serbia in 2007 and 2010, respectively. His doctoral work laid a strong foundation in wireless channel modeling and signal propagation under diverse fading environments, which continues to influence his research direction. With a background that integrates telecommunications engineering and applied mathematics, he has been able to develop analytical models and real-world system solutions that bridge theory and practical implementation in modern communication networks.

Research Focus

Dr. Panic’s research is centered around the development of energy-efficient and high-capacity wireless communication systems, with particular emphasis on 5G and emerging 6G technologies. His work includes physical layer design, statistical modeling of fading channels, MIMO systems, cooperative diversity, and free-space optical (FSO) communication. He also explores the theoretical limits of wireless systems through stochastic modeling, modulation techniques, and performance analysis in the presence of co-channel interference. Recently, he has expanded his focus to include UAV-assisted sensor networks and machine learning applications in wireless communication.

Experience

With over 15 years of professional academic engagement, Dr. Panic has worked extensively as a lecturer, researcher, and mentor in Serbian universities. Since 2010, he has served at the University of Pristina, where he is actively involved in teaching undergraduate and postgraduate courses, supervising research students, and leading funded international and national projects. His role has also included contributions to academic administration, curriculum development, and international partnership development. Dr. Panic’s broad experience and interdisciplinary approach have positioned him as a prominent educator and researcher in the Balkan region and beyond.

Research Timeline

Dr. Panic’s research activities began with a government-funded speech coding project between 2008–2011. In 2011, he joined a long-term national project focused on developing new communication technologies using advanced mathematical techniques, which remains ongoing. Between 2018 and 2019, he led two major international research projects with Tomsk Polytechnic University, Russia, focusing on energy-efficient physical layer algorithms for 5G and wireless optical signal transmission. His timeline reflects a consistent evolution from classical telecommunication theory to modern, interdisciplinary wireless technology innovations.

Awards & Honors

Dr. Panic has been recognized with several prestigious awards and fellowships throughout his career. These include the Young Researcher Fellowship (2008–2010) from the Ministry of Science, Republic of Serbia, and a Postdoctoral Research Fellowship at Tomsk Polytechnic University (2018–2019). He received Best Paper Awards at ICSCCC 2018 (India) and ETIC 2019 (Bhutan), underscoring the global impact of his research contributions. Additionally, he was the runner-up for the Best Student Award at the University of Nis in 2007, a testament to his long-standing academic excellence and dedication to scientific progress.

Top-Noted Publication

One of Dr. Panic’s most impactful and widely referenced publications is titled “Novel SWIPT Schemes for 5G Wireless Networks”, published in MDPI Sensors, 2019. This paper introduces new Simultaneous Wireless Information and Power Transfer (SWIPT) models for 5G, enabling enhanced data and energy efficiency in modern wireless networks. The research is co-authored with international collaborators and has gained significant attention for its innovative approach and applicability in practical system design.

  • Legendre Polynomial Based Approximation of the Hessian for Quasi-Newton Optimization
    Author(s): S. Panic
    Journal: Numerical Algorithms
    Summary: This paper introduces an approximation technique for the Hessian matrix using Legendre polynomials, designed to improve quasi-Newton optimization methods. The study extends traditional optimization algorithms to enhance performance in non-linear problems, providing a robust approach for high-dimensional data sets.
    Publication Year: 2025

  • An Application of Residue Number System Arithmetics to Secure Hash Functions Design
    Author(s): M. Pavlović, S. Panić, B. Damjanović, N. Stamenković
    Journal: Bulletin of Natural Sciences Research
    Summary: The paper explores the integration of residue number system (RNS) arithmetic in the design of secure hash functions. This approach offers an efficient way to optimize hash function computation, making it more resilient to cryptographic attacks.
    Publication Year: 2025

  • Computing Descriptive Statistics of Bluetooth Signals Using a Neural Network
    Author(s): M. Dejanović, S. Panić, D. Đošić, D. Milić
    Conference: 24th International Symposium INFOTEH-JAHORINA (INFOTEH)
    Summary: This paper demonstrates how neural networks can be employed to compute descriptive statistics of Bluetooth signals. The study aims to improve the understanding of Bluetooth communication in terms of signal quality, transmission, and interference.
    Publication Year: 2025

  • Application of Neural Networks in Estimating Second-Order Characteristics of Shadowed Fading Channels
    Author(s): S. Panić, M. Dejanović, V. Milenković, D. Đošić, M. Gligorijević
    Journal: Telecommunication Systems
    Summary: This paper investigates how neural networks can estimate second-order characteristics of shadowed fading channels, contributing to the optimization of wireless communication networks in challenging environments.
    Publication Year: 2025

  • On the Shadowed Ricean Model for Land Mobile Satellite Channels
    Author(s): S. Panić, A. De, M. Vesković
    Journal: Annals of Telecommunications
    Summary: The authors examine the shadowed Ricean model in the context of land mobile satellite channels, offering a better understanding of signal propagation in rural and urban environments.
    Publication Year: 2025

  • Enhancing Digital Image Correlation with Adaptive Wavelets: Addressing Complex Deformations and Lorenz Noise
    Author(s): L. Mosurović, R. Ivković, S. Panić, R. Prodanović, M. Petrović, P. Spalević
    Journal: Defence Science Journal
    Summary: This work enhances digital image correlation techniques through the use of adaptive wavelets, specifically addressing the challenges of complex material deformations and Lorenz noise in dynamic imaging applications.
    Publication Year: 2025

  • Availability-Based Maintenance Analysis for Systems with Repair Time Threshold
    Author(s): N. Kontrec, S. Panić, B. Panić
    Journal: Yugoslav Journal of Operations Research
    Summary: This research provides a comprehensive analysis of availability-based maintenance strategies, incorporating repair time thresholds to improve operational efficiency and reduce system downtime in industrial applications.
    Publication Year: 2025

The Innovative Researcher Award typically recognizes researchers who have made groundbreaking contributions to their field, demonstrating a unique combination of creativity, vision, and impact. Based on the information you provided about Dr. Stefan Panic, he would be a highly eligible candidate for such an award for several reasons:

1. Groundbreaking Research Contributions

  • Dr. Panic’s work in 5G systems, cooperative networks, optical wireless technologies, and machine learning applications in wireless communication is at the forefront of telecommunications research.

  • His paper on Simultaneous Wireless Information and Power Transfer (SWIPT) for 5G is a perfect example of an innovative approach to energy-efficient communication systems, which directly contributes to the next generation of wireless networks.

2. Interdisciplinary Research and Collaboration

  • His interdisciplinary work spans applied mathematics, telecommunications engineering, machine learning, and optimization theory, which is critical for the development of future communication systems.

  • Dr. Panic’s extensive international collaboration with institutions like Tomsk Polytechnic University in Russia and his involvement in projects focused on UAV-assisted sensor networks and energy-efficient algorithms highlight his global engagement and ability to drive innovation through collaborative research.

3. Impact on Industry and Real-World Applications

  • Dr. Panic’s research, especially in areas like shadowed fading channels, MIMO systems, and secure hash functions for cryptography, has direct implications for real-world applications in both telecommunications and security.

  • The development of neural networks for signal processing and energy-efficient communication systems demonstrates a forward-thinking approach to real-world challenges, which is highly valued in innovation-driven awards.

4. Recognized Excellence and Awards

  • His accolades such as the Best Paper Awards at prestigious conferences (ICSCCC 2018, ETIC 2019) and recognition as a Young Researcher Fellow from the Ministry of Science, Republic of Serbia, underscore his academic excellence.

  • The combination of numerous peer-reviewed publications, citation indices, and international recognition makes him an ideal candidate for an award that values research innovation.

5. Mentorship and Academic Leadership

  • Dr. Panic has dedicated significant effort to mentoring students, developing curricula, and leading funded international projects, making his contributions even more impactful as they extend beyond the lab to the academic community and the next generation of researchers.

Eligibility Considerations:

Given his academic stature, experience, and the clear impact of his research, Dr. Stefan Panic would almost certainly meet the eligibility criteria for the Innovative Researcher Award. The strength of his profile, reflected in his extensive publication record, innovative research areas, and recognized leadership in both research and teaching, places him as a prime candidate for such an honor.

Safiqul Islam, Mathematics, Best Researcher Award

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Doctorate Safiqul Islam: Assistant Professor at King Faisal University, Saudi Arabia

Dr. Safiqul Islam is an accomplished Indian mathematician and theoretical astrophysicist, currently serving as an Assistant Professor of Mathematics at King Faisal University, Kingdom of Saudi Arabia. With over nine years of post-Ph.D. teaching and research experience, his academic contributions span across differential equations, cosmology, astrophysics, and general relativity. He is especially known for his work on wormholes, gravastars, and exotic spacetime geometries. Dr. Islam has authored two scholarly books and over a dozen peer-reviewed journal articles published in reputed international journals such as Physical Review D, Physics Letters B, and Astrophysics and Space Science. His interdisciplinary expertise bridges mathematical modeling and theoretical physics, earning him global recognition in both academic and research communities.

Online Profiles

Google Scholar Profile

Dr. Islam is actively engaged in the global academic community through multiple professional platforms. His Google Scholar profile reflects a growing impact, with 599 citations, an h-index of 10, and an i10-index of 11, showcasing the reach and influence of his work in theoretical astrophysics and applied mathematics. He is a Fellow of the Royal Astronomical Society (UK), and an Associate Member of the Institute of Physics (UK). Additionally, he holds life memberships in the American Mathematical Society, Indian Mathematical Society, Indian Association for General Relativity and Gravitation, Calcutta Mathematical Society, and the Astronomical Society of India, among others. These affiliations affirm his commitment to scientific collaboration and continued research dissemination across disciplines and borders.

Education

Dr. Islam holds a Ph.D. in Mathematics from Jadavpur University, Kolkata (2014), where he focused on “Some Theoretical Features of Wormholes and Gravastars.” He further advanced his academic career with a three-year postdoctoral research position at the prestigious Harish-Chandra Research Institute in Allahabad, where he specialized in applied mathematics, mathematical physics, and theoretical astrophysics. Prior to this, he completed his Master of Science (M.Sc.) in Applied Mathematics from Netaji Subhas Open University, Kolkata in 2010, and earned a Bachelor of Science (B.Sc.) with honors in Mathematics from Presidency College under the University of Calcutta in 1998. His educational background laid a strong foundation for his later work in cosmology and general relativity.

Research Focus

Dr. Islam’s research is rooted in applied mathematics and its applications to theoretical physics, particularly in cosmology, astrophysics, and gravitational theory. His central research areas include wormhole solutions in higher-dimensional spacetime, gravastar models, and singularity-free compact star structures within general relativity and modified gravity theories. He actively explores the implications of non-commutative geometry, tensor analysis, and differential geometry in constructing models that provide deeper insight into the nature of the universe. His work also extends to black hole physics, the dynamics of the early universe, and (2+1)-dimensional cosmological models, all of which aim to reconcile mathematical theory with physical observations.

Experience

Dr. Islam’s professional journey includes a diverse range of academic and research roles across multiple countries. Since December 2021, he has been serving as Assistant Professor at King Faisal University in Saudi Arabia. Before this, he taught at St. Theresa International College, Thailand (2019–2021), where he contributed to international education in mathematics. From 2016 to 2019, he held a Postdoctoral Fellowship at Harish-Chandra Research Institute, India—an institution renowned for advanced research in physics and mathematics. He also served as a Visiting Fellow at RTM Nagpur University in 2017. Throughout his career, Dr. Islam has taught a wide spectrum of subjects including Linear Algebra, Differential Equations, Abstract Algebra, Probability and Statistics, Numerical Analysis, and Mathematical Modelling at both undergraduate and postgraduate levels.

Research Timeline

Dr. Islam commenced his formal research career after qualifying the Research Entrance Test (RET) at Jadavpur University in 2011. His Ph.D. research began the same year and concluded in 2014, focusing on exotic astrophysical structures. Postdoctoral research followed at Harish-Chandra Research Institute between 2016 and 2019, during which he deepened his work on general relativity and compact stars. Parallel to his research, he gained significant teaching experience across India, Thailand, and Saudi Arabia. Since 2013, he has consistently published in high-impact journals and participated in international conferences. His work has steadily evolved, incorporating modern mathematical techniques and interdisciplinary models in theoretical physics.

Awards & Honors

Dr. Islam has received several academic honors, including the Global Faculty Award 2021 by AKS Education Awards in recognition of his excellence in teaching and research. He was appointed as an International Advisory Committee Member for the 2nd International Conference on Research Frontiers in Sciences held at G.H. Raisoni College of Engineering in India. He has also been invited to numerous national and international scientific conferences and seminars. His research efforts have been supported by grants and funding worth approximately ₹4,20,000 from Harish-Chandra Research Institute and other institutions. His active roles in advisory and academic panels further affirm his leadership in the global academic community.

Recent Notable Publications

One of Dr. Islam’s most influential research papers is “Searching for Higher Dimensional Wormholes with Non-Commutative Geometry,” co-authored with Farook Rahaman, Saibal Ray, and P.K.F. Kuhfittig, and published in Physical Review D (2012). This work presents a theoretical framework for wormholes in higher-dimensional spacetime influenced by non-commutative geometry, contributing significantly to the understanding of exotic spacetime geometries in general relativity. The paper has garnered significant citations and remains a reference point for researchers working on higher-dimensional models and quantum gravity-related phenomena.

  • Cosmic Time-Dependent Traversable Wormhole Solutions
    S. Islam
    Journal of Astrophysics and Astronomy, Vol. 46 (2), Article 44, 2025.

  • Enhanced Mutation Strategy Based Differential Evolution for Global Optimization Problems
    P. Mishra, M. Ali, S. Islam
    PeerJ Computer Science, Vol. 11, e2696, 2025.

  • Wormholes and Energy Conditions in Rastall-Rainbow Gravity
    A. Banerjee, S. Islam, A. Pradhan, M. Zeyauddin
    2023.

  • Viscous Modified Ghost Scalar Field Dark Energy Models with Varying G
    R. Talole, P. Kumar, S. Islam
    Romanian Astronomical Journal, Vol. 33, pp. 81-109, 2023.

  • A Probe into a (2+1)-Dimensional Combined Cosmological Model in f(R,T) Gravity
    S. Islam, M. Aamir, I. Radinschi, D. Bandyopadhyay
    Axioms, Vol. 11, Article 605, 2022.

Statement of Strength and Eligibility for Best Researcher Award: Dr. Safiqul Islam

Dr. Safiqul Islam is a distinguished mathematician and theoretical astrophysicist with over nine years of impactful research and academic experience in applied mathematics, cosmology, and general relativity. Currently an Assistant Professor at King Faisal University, he has made significant contributions to the understanding of exotic spacetime geometries, including wormholes and gravastars, through innovative theoretical frameworks.

His scholarly excellence is demonstrated by a robust publication record, including two authored books and over a dozen high-impact peer-reviewed articles in prestigious journals such as Physical Review D and Physics Letters B. With an h-index of 10 and nearly 600 citations, Dr. Islam’s work commands global recognition and influence in interdisciplinary fields bridging mathematics and theoretical physics.

Dr. Islam’s expertise in advanced mathematical modeling and theoretical astrophysics is complemented by his active involvement in international academic communities, reflected in his fellowship with the Royal Astronomical Society and memberships in leading scientific societies worldwide. His leadership roles in international conferences and advisory committees further attest to his stature as a leading researcher.

His consistent research productivity, innovative approach to complex problems in cosmology and gravitation, and dedication to advancing knowledge make him eminently deserving of the Best Researcher Award. Dr. Islam’s work not only pushes the boundaries of fundamental science but also inspires cross-disciplinary collaboration and future breakthroughs in understanding the universe.