Tag: Mathematics

Sandeep Kumar Mogha, Mathematics, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Sandeep Kumar Mogha, Mathematics, Best Innovator Award

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

Posted on by scizentox scizentoxLeave a Comment on Neha Verma, Mathematics, Best Innovator Award

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

Posted on by scizentox scizentoxLeave a Comment on Akilbasha A, Mathematics, Best Researcher Award

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

Posted on by scizentox scizentoxLeave a Comment on Stefan Panic, Mathematics, Innovative Researcher Award

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

Posted on by scizentox scizentoxLeave a Comment on Safiqul Islam, Mathematics, Best Researcher Award

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.

Ashish Kumar Prasad, Mathematics, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Ashish Kumar Prasad, Mathematics, Best Researcher Award

Assoc. Prof Ashish Kumar Prasad: Associate Professor at Amity University, Jharkhand, India

Dr. Ashish Kumar Prasad is a distinguished mathematician and researcher with over 10 years of experience in teaching and scholarly research. He specializes in optimization theory, fractional programming, and variational problems, contributing significantly to both theoretical advancements and practical applications. Currently an Associate Professor at Amity University, Ranchi, he previously served as Dean of Science at Netaji Subhas University. Dr. Prasad holds a Ph.D. from IIT ISM Dhanbad and is known for his commitment to academic excellence and mentoring young researchers.

Online Profiles

ORCID Profile

Dr. Prasad actively maintains professional profiles on academic networking platforms such as Google Scholar and ResearchGate, where his extensive publication record is available for the global scientific community. Through these channels, he engages with fellow researchers, shares ongoing research findings, and participates in discussions related to nonlinear analysis and optimization. Additionally, he regularly attends and presents at national and international conferences, fostering collaborations and knowledge exchange.

Education

Dr. Prasad’s academic journey began with a B.Sc. degree from Ranchi University, followed by an M.Sc. from Vinoba Bhave University. He then advanced his specialization by earning an M.Phil. and a Ph.D. from the prestigious IIT ISM Dhanbad. His doctoral research laid the groundwork for his expertise in interval-valued optimization and fractional programming, equipping him with rigorous training in advanced mathematical tools and research methodologies.

Research Focus

His primary research interests encompass optimality conditions and duality theories for interval-valued and fractional vector optimization problems. Dr. Prasad explores the frontiers of nonsmooth and multiobjective optimization, addressing complex variational and fractional problems with practical relevance in engineering and operational research. His work often integrates advanced mathematical modeling with computational techniques, aiming to solve real-world optimization challenges.

Experience

Over a decade, Dr. Prasad has accumulated extensive experience in academia, teaching courses at undergraduate and postgraduate levels, supervising M.Sc. and Ph.D. students, and coordinating research projects. His academic appointments include significant tenures at institutions such as VIT Vellore, Presidency University, and NIT Jamshedpur. Beyond teaching, he has served in administrative roles including Dean of Science, where he contributed to curriculum development and institutional governance.

Research Timeline

Beginning with his doctoral studies in 2010, Dr. Prasad’s research output has steadily grown, with influential papers published in top-tier SCI, SCIE, and Scopus-indexed journals from 2013 onward. His early work focused on fractional programming and convexity concepts, progressively evolving to include interval-valued optimization and advanced duality theories. His research timeline reflects a consistent dedication to expanding the theoretical foundations and practical applications of mathematical optimization.

Awards & Honors

Dr. Prasad’s academic leadership is exemplified by mentoring distinguished students such as Anant Pratap Singh, a gold medalist and DST Inspire Fellow. His research has been recognized through publications in high-impact journals and invitations to deliver talks at international conferences. These accomplishments underscore his standing in the mathematics research community and his contributions to advancing optimization theory.

Top-Noted Publication

Among his numerous publications, the paper “Optimality conditions for an interval-valued vector problem,” published in Kybernetika (2025), is highly regarded. This work offers novel insights into interval-valued optimization and establishes foundational results that have influenced subsequent studies in the field. The paper’s publication in an SCI-indexed journal with an impact factor of 0.9 highlights its scholarly significance and Dr. Prasad’s expertise in this niche area of mathematical research.

  • Title: 𝓔-LU-optimal solution for nonsmooth semi-infinite interval-valued problems
    Journal: OPSEARCH
    Date: 2025-07-07
    DOI: 10.1007/s12597-025-00971-5
    Contributors: Julie Khatri, Ashish Kumar Prasad

  • Title: 𝓔-LU-pareto solutions for semi-infinite programs with multiple intervals
    Journal: OPSEARCH
    Date: 2025-02-04
    DOI: 10.1007/s12597-025-00917-x
    Contributors: Julie Khatri, Ashish Kumar Prasad

  • Title: Exact L₁ penalty function for nonsmooth multiobjective interval-valued problems
    Journal: Kybernetika
    Date: 2024
    DOI: 10.14736/kyb-2024-5-0652
    EID: 2-s2.0-85215557895
    Contributors: Julie Khatri, Ashish Kumar Prasad

  • Title: Optimality and duality for interval-valued vector problems
    Journal: Filomat
    Date: 2024
    DOI: 10.2298/FIL2426091K
    EID: 2-s2.0-85214260698
    Contributors: Julie Khatri, Ashish Kumar Prasad

  • Title: Duality for a fractional variational formulation using η-approximated method
    Journal: Kybernetika
    Date: 2023
    DOI: 10.14736/kyb-2023-5-0700
    EID: 2-s2.0-85178487225
    Contributors: Sony Khatri, Ashish Kumar Prasad

Gorachand Chakraborty, Mathematics, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Gorachand Chakraborty, Mathematics, Best Researcher Award

Dr. Gorachand Chakraborty: Assistant Professor at Sidho-Kanho-Birsha University, India

Dr. Gorachand Chakraborty is a dedicated mathematician and an Assistant Professor in the Department of Mathematics at Sidho-Kanho-Birsha University, Purulia, West Bengal, India. With a passion for research in complex dynamics and related fields, he has contributed significantly to the understanding of transcendental functions, meromorphic functions, and fractal geometry. Dr. Chakraborty holds a Ph.D. in Mathematics from The University of Kalyani, and his academic pursuits are complemented by a strong teaching career, mentoring both undergraduate and postgraduate students.

Online Profiles

Scopus Profile

Citations: 20 citations from 11 documents
h-index: 3 (as per Scopus)

Education

Dr. Chakraborty’s academic journey began with his M.P. from the West Bengal Board of Secondary Education in 2005, followed by H.S. from WBCHSE in 2007. He then pursued a B.Sc. in Mathematics Honours from J.K. College, Purulia, under Burdwan University, where he developed a deep interest in mathematics. His pursuit of higher education took him to IIT Guwahati, where he obtained his M.Sc. in Mathematics and Computing in 2012. Finally, he earned his Ph.D. in Mathematics from The University of Kalyani in 2021, completing a rigorous dissertation in the areas of complex dynamics and value distribution theory.

Research Focus

Dr. Chakraborty’s research interests revolve around Complex Dynamics, Value Distribution Theory, Fractal Geometry, and Functional Analysis. He has specifically focused on the dynamics of transcendental entire and meromorphic functions, contributing to the understanding of Herman rings, Fatou and Julia sets, and the dynamics of singular values. His work intersects several important mathematical areas and aims to develop a unified theory that connects complex dynamics with value distribution theory and fractals.

Experience

Dr. Chakraborty’s teaching career spans more than a decade, beginning in 2013 as a lecturer at Rajiv Gandhi University of Knowledge Technologies, Hyderabad, where he was involved in early undergraduate teaching. He moved on to serve as an Assistant Professor at Jhargram Raj College (2015), Govt. General Degree College at Manbazar II (2015–2019), and Sidho-Kanho-Birsha University (2019–present), where he continues to teach both undergraduate and postgraduate courses. In addition to his teaching, he has supervised several research scholars and has actively contributed to the academic development of his institution.

Research Timeline

Dr. Chakraborty’s research career has evolved through several key milestones, starting with his early exploration of complex dynamics during his Ph.D. at The University of Kalyani. His doctoral work laid the foundation for subsequent contributions to Herman rings and Baker omitted values. Over the years, he has worked on a variety of projects, such as understanding dynamical systems of transcendental meromorphic functions and investigating the growth properties of solutions to complex linear differential-difference equations. His current research is centered on the Fatou and Julia sets of transcendental functions, supported by a significant grant from the National Board for Higher Mathematics (NBHM).

Awards & Honors

Dr. Chakraborty has been recognized with several awards and honors for his academic excellence. Notably, he received the Best Paper Presentation Award at the 42nd Annual Conference of Orissa Mathematical Society (2015) for his presentation on Baker Omitted Values. He was also awarded for his research contributions in several conferences and workshops. His recognition spans across both national and international platforms, establishing him as a respected figure in the field of mathematics.

Top-Noted Publications

Dr. Chakraborty has published numerous papers in high-impact journals, contributing to the global discourse on complex dynamics and meromorphic functions. Notable publications include:

  1. “Baker Omitted Value, Complex Variables and Elliptic Equations” (2016) – A significant paper published in the SCIE-indexed journal, with an impact factor of 0.846, exploring Baker’s omitted values in complex dynamics. Link

  2. “Herman Rings with Small Periods and Omitted Values”, Acta Mathematica Scientia (2018) – This paper examines the dynamical aspects of transcendental meromorphic functions. Link

  3. “Configurations of Herman Rings in the Complex Plane”, Indian Journal of Mathematics (2021) – An in-depth study of the geometric and dynamical configurations of Herman rings. Link

  4. “On the Level of Qe(f) in Quite Fast Escaping Set and Spider’s Web”, Annali di Matematica Pura ed Applicata (2023) – A paper on transcendental semigroups with applications to complex dynamical systems. Link

Dharmendar Reddy Yanala, Mathematics, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Dharmendar Reddy Yanala, Mathematics, Best Researcher Award

Professor Dharmendar Reddy Yanala: PROFESSOR at ANURAG UNIVERSITY, India

Dr. Yanala Dharmendar Reddy is an accomplished academician and researcher with over 20 years of experience in the field of Applied Mathematics. Currently serving as a Professor in the Department of Mathematics at Anurag University, Hyderabad, he has dedicated his career to the study of Fluid Dynamics, specifically in Magnetohydrodynamics (MHD) and nanofluid heat transfer. His research interests include MHD boundary layers, heat and mass transfer, and the impact of nanoparticles on fluid dynamics. Dr. Reddy is known for his ability to blend theoretical models with numerical techniques to solve complex problems in the realms of geophysics, astrophysics, and industrial applications. His work is not only significant for academia but also for practical applications in energy systems, environmental engineering, and medical technologies. His passion for education and research is matched by his commitment to fostering the next generation of mathematicians and engineers.

Online Profiles

  • Google Scholar: Yanala Dharmendar Reddy – A platform for accessing Dr. Reddy’s scholarly articles and citations.

  • Scopus ID: 57202329139 – Tracking all of Dr. Reddy’s research contributions on Scopus, a global database for academic research.

  • ORCID: 0000-0002-8926-7259 – Ensuring that Dr. Reddy’s research activities are uniquely identified and linked to his academic and professional work.

  • WOS Researcher ID: B-7614-2018 – A profile on Web of Science, further validating Dr. Reddy’s research output and professional standing.

  • Citations & Research Impact

    • Total Citations: 2276

    • h-index: 27

    • i10-index: 54

    These metrics indicate Dr. Reddy’s significant impact on the academic community, with a well-established record of influential publications. His h-index of 27 reflects a consistent contribution to high-quality research, with at least 27 publications that have each been cited 27 or more times. Additionally, an i10-index of 54 highlights his ability to produce scholarly works that have been widely referenced and utilized in ongoing research, further cementing his reputation as a key figure in his field.

Education

Dr. Reddy completed his Ph.D. in Applied Mathematics at Osmania University, Hyderabad, in 2017. His doctoral research focused on the numerical techniques used to study the MHD boundary layer flow of nanofluids over stretching sheets, a topic with profound implications for industrial heat transfer and energy systems. Prior to this, he earned his M.Sc. in Mathematics with distinction from Osmania University (2005) and a B.Sc. in Computer Science (2003), demonstrating early aptitude in both theoretical and computational aspects of mathematics. His academic journey reflects a solid grounding in both pure and applied mathematics, which laid the foundation for his later research endeavors.

Research Focus

Dr. Reddy’s research explores complex fluid dynamics problems, specifically focusing on Magnetohydrodynamics (MHD) and the heat and mass transfer of nanofluids. MHD flow has applications in various fields, such as power generation, astrophysics, and environmental systems. His interest in nanofluids stems from the growing need to enhance heat transfer in industrial and technological applications. Nanofluids are a class of fluids that contain nanoparticles, which significantly improve the thermal properties of base fluids. By studying the interaction between magnetic fields, fluid flow, and nanoparticle behavior, Dr. Reddy aims to propose solutions to challenges in energy efficiency, industrial heat exchangers, and even medical applications like hyperthermia treatment. His work has resulted in both theoretical advancements and practical applications, benefiting a wide range of industries.

Experience

Dr. Reddy’s academic career spans two decades, with significant contributions to teaching, research, and academic administration. He has been a Professor in the Department of Mathematics at Anurag University since December 2024. Previously, he served as an Associate Professor (2020-2024) and Assistant Professor (2005-2020) at Anurag Group of Institutions, where he helped shape the curriculum and research landscape in applied mathematics. Throughout his career, Dr. Reddy has mentored countless undergraduate, postgraduate, and doctoral students. His leadership roles also include serving as the Additional Controller of Examinations at Anurag Group from 2012 to 2017, where he managed examination procedures, ensuring fairness and transparency. Dr. Reddy is dedicated to fostering a research-driven environment in his academic roles, encouraging collaboration and innovation among his students and colleagues.

Research Timeline

  • 2014-2016: Dr. Reddy completed a UGC-sponsored Minor Research Project on the “Impact of Flow Parameters on Heat and Mass Transfer” using numerical techniques. This project laid the groundwork for his future work on MHD flows and nanofluids.

  • 2017-2020: Focused on MHD nanofluid flow, leading to multiple publications on heat transfer enhancement in industrial and biological systems.

  • 2020-Present: Expanded his research to include chemical reactions, radiation effects, and their influence on nanofluid flow. His current projects involve exploring novel fluid systems for applications in energy systems and medical technologies, which continue to garner significant academic and industrial interest.

Awards & Honors

Dr. Reddy’s contributions to academia have been widely recognized. In 2024, he was listed among the Top 2% Scientists Worldwide, an accolade co-published by Elsevier and Stanford University, placing him in an elite group of researchers globally. Additionally, he received the Best Teacher Award from AQER in 2024 for his excellence in teaching and his innovative contributions to the field of mathematics. His involvement in academic organizations includes life memberships in the Indian Science Congress Association and the Andhra Pradesh Society for Mathematical Sciences, where he plays an active role in promoting mathematics research in India. These awards and recognitions underscore his dedication to both research and teaching.

Top-Noted Publication

  1. Chemical reaction and Soret impacts on MHD heat and mass transfer Casson hybrid nanofluid (MoS2+ZnO) flow based on engine oil across a stretching sheet with radiation
    Journal: Chemical Thermodynamics and Thermal Analysis (2025)
    DOI: 10.1016/j.ctta.2025.100163
    Contributors: Radhika, M.; Dharmendar Reddy, Y.

  2. Impact of thermal radiation and viscous dissipation on MHD heat transmission MoS2 and ZnO/engine oil hybrid nanofluid flow along a stretching porous surface
    Journal: Multiscale and Multidisciplinary Modeling, Experiments and Design (2025)
    DOI: 10.1007/s41939-024-00589-y
    Contributors: Mangamma, I.; Reddy, Y.D.

  3. Numerical solutions of steady radiative Maxwell-nanofluid flow toward a stretching sheet in the presence of magnetic field and porous medium
    Journal: Modern Physics Letters B (2025)
    DOI: 10.1142/S0217984924504323
    Contributors: Babu, P.R.; Kumar, M.A.; Raju, R.S.; Reddy, Y.D.

  4. Viscous dissipation and radiation effects on MHD heat transfer copper-water nanofluid flow over an exponentially shrinking surface
    Journal: Multiscale and Multidisciplinary Modeling, Experiments and Design (2025)
    DOI: 10.1007/s41939-024-00708-9
    Contributors: Radhika, M.; Reddy, Y.D.

  5. A numerical study on MHD Maxwell fluid with nanoparticles over a stretching surface: Impacts of thermal radiation, convective boundary condition and induced magnetic field
    Journal: Numerical Heat Transfer, Part A: Applications (2024)
    DOI: 10.1080/10407782.2024.2338259
    Contributors: Venkatesh, N.; Raju, R.S.; Anil Kumar, M.; Dharmendar Reddy, Y.

Mohamed Saad Bouh Elemine Vall, Mathematics, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Mohamed Saad Bouh Elemine Vall, Mathematics, Best Researcher Award

Doctorate Mohamed Saad Bouh Elemine Vall: Assistant professor at Higher Institute of industrial Engineering, Mauritania

 

Dr. Mohamed Saad Bouh Elemine Vall is a Mauritanian mathematician and Assistant Professor at the Institut Supérieur de Génie Industriel in Nouakchott, Mauritania. His academic work spans theoretical and applied mathematics, with a concentration on nonlinear analysis, partial differential equations, and variational methods. With over ten years of experience in higher education and scientific research, Dr. Vall has built a strong international research portfolio, particularly in the analysis of elliptic and parabolic problems within generalized functional frameworks. He is also deeply engaged in interdisciplinary applications, contributing to both mathematical theory and real-world problem solving through simulations, statistical modeling, and data analysis.

Online Profiles

Google Scholar Profile

Citations and Indices

Since 2020, Dr. Vall has accumulated a total of 99 citations, with 84 of them coming in recent years. His h-index stands at 5, reflecting a solid impact of his publications in the scientific community, while his i10-index is 2, indicating that two of his publications have received at least 10 citations each. These indices highlight the growing relevance and influence of his research in applied mathematics and nonlinear analysis.

Dr. Vall maintains an active online academic presence. His Google Scholar profile showcases his research impact, citation metrics, and publication trends across mathematical journals. Through ResearchGate, he regularly shares his work with the international scientific community, including peer-reviewed articles, conference presentations, and ongoing research updates. These platforms reflect both the breadth and depth of his contributions in mathematics, and serve as a resource for students and collaborators worldwide.

Education

Dr. Vall earned a Ph.D. in Mathematics and Applications from the University Sidi Mohamed Ben Abdellah in Fès, Morocco, where he specialized in nonlinear analysis and functional spaces. He also holds a Master’s degree in Mathematical Sciences with a specialization in Partial Differential Equations, Modeling, and Scientific Computing (EDPMCS). His earlier education includes a Bachelor’s and Master’s degree in Applied Mathematics from the University of Nouakchott, preceded by a DEUG in Mathematics and Physics, and a Baccalaureate in Mathematical Sciences obtained at the Lycée National of Mauritania. This robust academic background underpins his expertise in both pure and applied domains of mathematics.

Research Focus

Dr. Vall’s research lies at the intersection of nonlinear functional analysis, variational methods, and mathematical modeling. He specializes in Musielak-Orlicz and variable exponent Sobolev spaces, developing new existence and multiplicity results for weak and entropy solutions to elliptic and parabolic PDEs. His interests extend to the mathematical study of complex real-world systems, including epidemiological dynamics, econometric time-series models, and data-driven simulations. He is particularly noted for using modern numerical tools like Python, R, and Mathematica to bridge theory and computation, making his research relevant to both pure mathematicians and applied scientists.

Experience

Dr. Vall has taught at various academic institutions including the University of Nouakchott Al Aassriya, the Institut Supérieur de Comptabilité et d’Administration des Entreprises (ISCAE), and the Institut Universitaire Professionnel. He has delivered over 20 unique undergraduate and graduate-level courses covering analysis, topology, statistics, numerical methods, and programming with R, Python, and Octave. His teaching portfolio also includes courses in econometrics, data science, and statistical modeling, tailored for students in engineering, economics, and logistics. In addition to classroom teaching, he has supervised numerous master’s dissertations and co-supervised doctoral theses in both theoretical mathematics and applied modeling.

Research Timeline

Dr. Vall’s research trajectory began in 2013 with work on entropy solutions in Musielak-Orlicz frameworks. From 2015 to 2018, he focused on strongly nonlinear problems involving variable exponent growth, collaborating closely with research groups in Morocco. Between 2019 and 2021, his work evolved to cover Kirchhoff-type elliptic problems and the use of numerical simulations in public health modeling, notably during the COVID-19 pandemic. More recently (2022–2025), his research has delved into non-local operators, anisotropic Laplacians, and hybrid analytical-computational approaches, with publications in journals such as Nonlinear Dynamics, Complex Variables and Elliptic Equations, and Boundary Value Problems.

Awards & Honors

In recognition of his academic excellence, Dr. Vall received a Certificate of Excellence for the 2013 cohort of the Master’s program in Fès. He has been selected to participate in multiple advanced mathematics schools organized by CIMPA, including programs on waste management modeling and inverse problems in geometry. He has presented research at major conferences, including the International Conference on Differential Geometry and the Spring School on Nonlinear PDEs. His contributions to mathematical research and teaching have earned him respect in both national and international academic communities.

Top-Noted Publication

One of Dr. Vall’s most distinguished publications is the 2025 article titled:
A. Ahmed, M. S. B. Elemine Vall, Weak solutions in anisotropic (α→(z), β→(z))-Laplacian Kirchhoff models, published in Complex Variables and Elliptic Equations.
This work addresses a class of generalized Kirchhoff equations involving anisotropic operators and variable growth conditions, contributing novel theoretical results and extending the frontier of nonlinear elliptic theory. The paper has received recognition for its methodological depth and relevance in advanced PDE analysis.

  • Entropy solutions for parabolic equations in Musielak framework without sign condition and with measure data

    • Authors: MSB Elemine Vall, A Ahmed, A Touzani, A Benkirane

    • Journal: Archivum Mathematicum

    • Volume: 56 (2), Pages 65-106

    • Year: 2020

  • Entropy solutions for nonlinear parabolic problems with noncoercivity term in divergence form in generalized Musielak-Orlicz spaces

    • Authors: A Talha, A Benkirane, MSB Elemine Vall

    • Journal: Nonlinear Studies

    • Volume: 25 (1)

    • Year: 2018

  • Fractional double-phase problems with Kirchhoff-type operators and variable exponents

    • Authors: M El Khayr Boukraa, MSB Elemine Vall

    • Journal: Journal of Elliptic and Parabolic Equations

    • Year: 2025

  • Weak solutions in anisotropic (α→(z), β→(z))-Laplacian Kirchhoff models

    • Authors: MSB Elemine Vall, A Ahmed

    • Journal: Complex Variables and Elliptic Equations

    • Year: 2025

  • Multiplicity of weak solutions in double phase Kirchhoff elliptic problems with Neumann conditions

    • Authors: A Ahmed, MSB Elemine Vall, S Boulaaras

    • Journal: Boundary Value Problems

    • Volume: 2025 (1), Pages 50

    • Year: 2025

Nicholas Mueller, Mathematics, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Nicholas Mueller, Mathematics, Best Researcher Award

Doctorate Nicholas Mueller: PhD student at Monash University, Australia

Nicholas Mueller is a dedicated mathematician and engineer who combines a strong theoretical foundation with a practical focus on real-world applications. His work spans multiple disciplines, from mathematical modeling and numerical methods to high-performance computing, particularly in fluid dynamics and structural mechanics. Currently a PhD candidate at Monash University, Nicholas is focused on enhancing the computational efficiency of simulations for complex, unsteady physical systems. His passion lies in solving challenging problems through collaboration, deep theoretical analysis, and cutting-edge computational techniques, positioning him as a future leader in applied mathematics and scientific computing.

Online Profiles

Education

  • Monash University (Australia), 2022-2025
    Pursuing a Doctorate in Applied Mathematics, Nicholas is focusing on the development of linear reduced order models to solve complex, unsteady parameterized partial differential equations. His research integrates both theoretical and computational approaches to optimize the performance of high-dimensional simulations in fluid dynamics, structural mechanics, and other fields.

  • Ecole Polytechnique Fédérale de Lausanne (Switzerland), 2019-2021
    Master’s degree with distinction, specializing in reduced modeling of unsteady Stokes flow. During this time, Nicholas developed novel methods to reduce computational complexity in fluid flow simulations while maintaining high accuracy, particularly in applications related to arterial blood flow.

  • Politecnico di Milano (Italy), 2016-2019
    Bachelor of Science in Mathematical Engineering, focusing on numerical methods for partial differential equations. His undergraduate thesis, on the development of solvers for the Bidomain model of the human heart, showcased his early interest in applying mathematical techniques to biological and medical problems.

Research Focus

Nicholas’s research centers on developing efficient computational methods to solve parameterized, unsteady partial differential equations (PDEs) using reduced order models (ROMs). These techniques enable simulations of complex systems, such as fluid dynamics and structural mechanics, to be carried out with significantly lower computational costs. His work particularly addresses the challenges of unsteady flow in systems where traditional methods are computationally expensive, and focuses on the application of these models to a wide range of scientific and engineering problems, including cardiovascular modeling and aerospace engineering.

Experience

In addition to his academic experience, Nicholas gained hands-on expertise at CSEM, Switzerland, where he worked as an intern on a research project involving topology optimization for aerospace applications. This experience enhanced his skills in numerical analysis, solver development, and validation, providing him with practical insights into applying mathematical theory to real-world engineering problems. Nicholas is also proficient in a variety of programming languages and tools, including Julia, Python, Matlab, C++, and Comsol, making him versatile in his computational research.

Research Timeline

  • 2022-Present: PhD research at Monash University, focusing on linear reduced order models for unsteady parameterized PDEs, aiming to improve the efficiency and accuracy of simulations.

  • 2019-2021: Master’s thesis research at EPFL, creating a space-time reduced model to solve unsteady Stokes equations for hæmodynamic simulations, significantly reducing computational time while retaining accuracy.

  • 2016-2019: Undergraduate research at Politecnico di Milano, focusing on developing numerical solvers for cardiac electrophysiology through finite element methods for the Bidomain model.

Awards & Honors

  • Monash University PhD Fellowship: Awarded a prestigious fellowship to support Nicholas’s doctoral research in Applied Mathematics, providing funding for his extensive computational and theoretical work.

  • EPFL Excellence in Research Award: Nicholas received this award for his outstanding contributions to the field of computational fluid dynamics and reduced order modeling.

  • Best Master’s Thesis Award: Recognized for the exceptional quality and impact of his master’s thesis, which advanced the field of space-time reduced modeling in fluid mechanics.
    These awards highlight Nicholas’s dedication to research excellence and his ability to contribute significantly to cutting-edge scientific fields.

Top-Noted Publication

  • Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations, SIAM Journal on Scientific Computing (2024).
    This publication presents innovative space-time reduced basis methods to efficiently solve parameterized unsteady Stokes equations, with applications in bioengineering, particularly in modeling blood flow dynamics. The work has contributed to advancing the understanding and application of reduced-order modeling techniques in computational fluid dynamics, helping to bridge the gap between high-fidelity simulations and real-time, practical applications.

  • A Tensor-Train Reduced Basis Solver for Parameterized Partial Differential Equations on Cartesian Grids
    Journal of Computational and Applied Mathematics, 2025
    DOI: 10.1016/j.cam.2025.116790

    • In this paper, Nicholas Mueller and his collaborators introduce a novel tensor-train reduced basis solver to address the computational challenges of parameterized partial differential equations on Cartesian grids. The method enhances the efficiency of solving high-dimensional problems by using tensor rank-reduction techniques, which significantly reduce computational costs while maintaining the solution’s accuracy. This work is instrumental for applications where large-scale simulations of complex systems are required.

  • Model Order Reduction with Novel Discrete Empirical Interpolation Methods in Space–Time
    Journal of Computational and Applied Mathematics, 2024
    DOI: 10.1016/j.cam.2024.115767

    • This paper presents an innovative hyper-reduction strategy for parameterized partial differential equations, focusing on space-time methods. Nicholas Mueller and Santiago Badia propose a discrete empirical interpolation method that efficiently approximates space- and time-dependent operators, enabling faster simulations of complex physical systems. The paper highlights the effectiveness of the method in reducing the computational burden while improving accuracy.

  • Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations
    SIAM Journal on Scientific Computing, 2024
    DOI: 10.1137/22M1509114

    • This work presents a comprehensive analysis of space-time reduced basis methods for the efficient simulation of unsteady Stokes equations, particularly applied to hæmodynamic problems. In collaboration with Riccardo Tenderini and Simone Deparis, Nicholas Mueller contributes significantly to the development of these methods, demonstrating their utility in reducing the complexity of time-dependent simulations without compromising accuracy.