T Pramod, Materials Science, Best Researcher Award

Prof. T Pramod: Research Scholar at Kalasalingam Academy of Research and Education, India

T. Pramod is an innovative materials scientist with a focus on polymer nanocomposites, tribology, and advanced coatings. With an M.Sc. Engineering by Research (Mechanical) from Visvesvaraya Technological University, Pramod has contributed to several high-impact research projects, exploring the interaction of materials under extreme wear, thermal, and mechanical conditions. His work addresses the growing demand for advanced materials in aerospace, automotive, and energy sectors. Pramod is particularly focused on the enhancement of material performance through the integration of nanoparticles and functionalized additives to improve durability, flame retardancy, and overall mechanical properties. His academic achievements and hands-on industry experience make him a well-rounded researcher dedicated to solving real-world material challenges.

Online Profiles

Research Metrics

  • Total Citations (Since 2020): 167

  • Citations in the Last Year: 132

  • h-index: 4 (Since 2020)

  • i10-index: 3 (Since 2020)

These metrics reflect the growing impact of Pramod’s research in the scientific community. The consistent citations and solid h-index highlight the relevance and contribution of his work in the fields of materials science and engineering, particularly in areas such as polymer nanocomposites, tribology, and advanced coatings.

Education

  • M.Sc. Engineering by Research (Mechanical): Visvesvaraya Technological University, CPRI Research Centre, Bangalore, with a specialization in mechanical behavior and materials science. Graduated with a 62.83% (2018).

  • B.E. (Mechanical Engineering): Visvesvaraya Technological University, M.V.J College of Engineering, Bangalore. Acquired a solid foundation in mechanical engineering principles with a focus on materials and manufacturing processes. Graduated with 64.17% (2011).

  • PUC (PCMB): Sree Cauvery College, Bangalore. Studied Physics, Chemistry, Mathematics, and Biology, building the essential knowledge for engineering applications. Graduated with 54.33% (2007).

  • SSLC (Science): Kendriya Vidyalaya, Bangalore. Developed a foundational understanding of scientific principles. Graduated with 58.60% (2005).

Research Focus

Pramod’s research spans several key areas within material science and engineering. His focus on polymer nanocomposites explores ways to enhance material properties such as wear resistance, flame retardancy, and mechanical strength through the incorporation of nanoparticles, fibers, and functionalized fillers. He has also worked extensively on the development of thermal spray coatings for improving the durability and performance of materials under extreme conditions, particularly in energy generation and aerospace applications. His interest in tribology examines friction, wear, and lubrication mechanisms in complex materials and composite systems, aiming for higher efficiency in industrial processes. Additionally, Pramod’s work on material characterization and flame retardant technologies seeks to develop safer, more sustainable materials for high-performance engineering applications.

Experience

  • Technical Assistant at Laboratory for Electro Optics Systems (LEOS-ISRO), Bangalore (Sept 2023 – Feb 2024): Contributed to metrology inspection and optics evaluation, supporting the development of advanced optical systems for space applications.

  • Research Consultant at The Energy and Resources Institute (TERI-SRC), Bangalore (Jan 2018 – Nov 2022): Led research on developing intumescent fire retardant nano composites designed for medium voltage cable sheathing, improving fire safety in critical infrastructure.

  • Research Fellow at Central Power Research Institute (CPRI), Bangalore (May 2013 – Jul 2016): Investigated the combined effects of cavitation and silt erosion on hydro turbine materials, utilizing both experimental and numerical methods to assess material performance in power generation applications.

  • Graduate Engineer at Central Manufacturing Technology Institute (CMTI), Bangalore (Sept 2011 – May 2013): Worked on ductile regime machining of brittle materials, enhancing precision manufacturing techniques for challenging materials in various industries.

Research Timeline

  • 2013-2016: During his tenure as a Research Fellow at CPRI, Pramod conducted significant research on hydro turbine steels and coatings exposed to cavitation and silt erosion, helping to optimize materials used in hydropower plants.

  • 2018-2022: As a Research Consultant at TERI-SRC, Pramod led the development of nano composites for fire-retardant applications, significantly contributing to the safety of medium voltage cables used in critical sectors.

  • 2023-Present: At LEOS-ISRO, Pramod works on cutting-edge optics inspection and metrology, contributing to the development of precision optical systems for aerospace and defense.

Awards & Honors

Pramod’s work has been widely recognized, earning him several prestigious nominations, including:

  • Best Researcher Award (World Top Scientists Award-2025)

  • Best Researcher Award (International Materials Scientist Awards-2025)

  • Excellence in Research Award (International Young Scientist Awards-2025)
    These nominations reflect his dedication and contributions to the fields of material science and engineering. His commitment to pioneering research has positioned him as a leader in his field.

Recent Publications

Pramod has authored numerous publications in reputed journals, showcasing his expertise and contributions to material science. Recent works include:

  • Mechanical and Wear Behaviour of Thermoplastic Nanocomposites along with Coir Fibre
    Authors: T. Pramod, P. Sampathkumaran, R. R. N. Sailaja, S. Seetharamu, B. V. Padmini, et al.
    Journal: Bulletin of Materials Science
    DOI: 10.1007/s12034-025-03462-x
    Volume: 48, Pages: 1-10
    Year: 2025

  • Effect of Polypropylene Based Microencapsulated Nanocomposites on the Thermal and Wear Properties
    Authors: T. Pramod, A. K. M. Basha, R. R. N. Sailaja, P. Sampathkumaran
    Journal: Discover Materials
    Volume: 5, Pages: 1-20
    Year: 2025

  • Mechanical and Flame Retardant Characteristics of PC/ABS Composites: Effect of Loading Co-Microencapsulated Flame Retardant Additive along with Silane Treated Nanoclay and Functionalized MWCNT as Fillers
    Authors: T. Pramod, S. J. Kashyap, Z. Yunus Khan, M. J. Ali, M. Y. Khaleel, R. R. N. Sailaja
    Journal: Advanced Composite Materials
    DOI: 10.1080/09243046.2025.2475600
    Volume: 1-30
    Year: 2025

  • Mechanical and Wear Characteristics of Jute Reinforced HDPE/PC Composites
    Authors: T. Pramod, P. Sampathkumaran, R. R. N. Sailaja, J. Katiyar, M. G. Anandakumar, et al.
    Conference: International Conference on Advanced Materials – Energy, Efficiency, and Economy for Sustainability (ICAMSF 2025)
    Year: 2025

  • Jute Reinforced Nano Composites with Different Proportions of HDPE/PC Matrices Affecting Mechanical and Wear Characteristics
    Authors: T. Pramod, P. Sampathkumaran, J. Katiyar, R. R. N. Sailaja Bhattacharya, et al.
    Conference: 6th International Conference on Tribo Corrosion
    Location: Delhi
    Year: 2024

Selvaraj Kunjiappan, Pharmacology, Best Researcher Award

Prof. Dr Selvaraj Kunjiappan: Professor at Sethu Institute of Technology, India

Dr. K. Selvaraj is a highly experienced researcher and academician in the field of Biotechnology, specializing in Biochemical Engineering. With more than 15 years of research and teaching experience, he is currently a Professor in the Department of Biotechnology at Kalasalingam Academy of Research and Education, Tamil Nadu, India. His research interests span the synthesis of novel drug-loaded nanoparticles for targeted therapies aimed at treating complex diseases such as cancer, diabetes, and neurological disorders. Dr. Selvaraj is committed to advancing the understanding of cellular signaling pathways, genetic network analysis, and the development of natural product-based drug delivery systems. Recognized as one of the world’s top 2% scientists, he has contributed significantly to scientific research, publishing extensively and working on multiple interdisciplinary projects.

Online Profiles

Google Scholar Profile

Citations & Metrics

Dr. Selvaraj’s scholarly impact is evident from his impressive citation metrics:

  • Total Citations: 2,588 (Previous: 2,399)

  • h-index: 29 (Previous: 27)

  • i10-index: 69 (Previous: 66)

These metrics reflect the significant influence of his research within his field, showcasing both the volume and the quality of his work over time. His growing h-index and i10-index are a testament to the enduring relevance and impact of his contributions in areas like drug delivery systems, cancer research, and computational biology.

Education

Dr. Selvaraj’s academic journey is marked by multiple post-doctoral fellowships and a solid educational foundation in Biotechnology and Chemical Engineering:

  • Post-Doctoral Research Fellow (Biological Sciences & Bioengineering), Indian Institute of Technology Roorkee, India (2024-2025).

  • Post-Doctoral Research Fellow (Biological Chemistry), University of Warsaw, Poland (2015).

  • Ph.D. in Chemical Engineering, Jadavpur University, Kolkata, India (2016).

  • M. Tech. in Industrial Biotechnology, Bharath Institute of Higher Education and Research, Chennai, India (2006).

  • B. Pharmacy, Tamil Nadu Dr. M.G.R. Medical University, Chennai, India (1999).

His academic background has been pivotal in shaping his interdisciplinary research in biotechnology, pharmacology, and drug delivery systems, further reinforcing his expertise in both theoretical and applied science.

Research Focus

Dr. Selvaraj’s research is centered on developing novel drug delivery systems using biodegradable nanoparticles to improve therapeutic outcomes for diseases such as cancer, diabetes, and Alzheimer’s. His work in drug-loaded nanoparticles aims at achieving better drug stability, bioavailability, and targeting efficiency. Additionally, he investigates the molecular mechanisms underlying various diseases by studying cellular signaling pathways and gene expression regulation. Another key area of his research involves discovering and utilizing bioactive molecules from natural sources for their potential in drug design and development, focusing on the molecular modeling of these compounds for therapeutic applications. Dr. Selvaraj’s innovative research continues to contribute toward advancements in targeted therapy, nanomedicine, and disease-specific drug discovery.

Experience

Dr. Selvaraj has an extensive academic and industrial experience that spans across multiple institutions and research environments:

  • Professor, Department of Biotechnology, Kalasalingam Academy of Research and Education, Tamil Nadu, India (2025-present).

  • Assistant Professor, Department of Biotechnology, Kalasalingam Academy of Research and Education, Tamil Nadu, India (2016-2025).

  • Lecturer, Department of Biotechnology, Rajalakshmi Engineering College, Chennai, India (2009-2012).

  • Lecturer, Department of Biotechnology, VMKV Engineering College, Salem, India (2006-2009).

  • Production Chemist, RPG Life Sciences Ltd. & Sun Pharma Ltd., Gujarat, India (1999-2004).

Throughout his career, Dr. Selvaraj has seamlessly integrated teaching and research, mentoring students and guiding several research projects at both undergraduate and postgraduate levels. His prior industry experience further complements his academic career, where he has worked in pharmaceutical production and quality control.

Research Timeline

Dr. Selvaraj’s career timeline highlights his significant contributions to research and development:

  • 2016: Completed Ph.D. in Chemical Engineering, focusing on drug delivery systems and nanoparticle synthesis.

  • 2015-2016: Postdoctoral research at the University of Warsaw, exploring biological chemistry and its applications in drug design.

  • 2020-2025: Ongoing research at Kalasalingam Academy of Research and Education on nanoparticle-based drug delivery, cancer therapy, and diabetes management.

  • 2024-2025: Postdoctoral research in Biological Sciences and Bioengineering at IIT Roorkee, focusing on interdisciplinary applications of biotechnology and bioengineering techniques.

Dr. Selvaraj’s research continues to evolve, with his current focus on the development of advanced nanomedicine and the exploration of cellular pathways in chronic diseases.

Awards & Honors

Dr. Selvaraj has received numerous prestigious awards throughout his career for his exceptional contributions to research and education:

  • Top 2% Scientists List (Stanford University & Elsevier, 2023 & 2024).

  • Erasmus Mundus Post-Doctoral Fellowship, University of Warsaw (2015).

  • INSA Visiting Scientist at IIT Roorkee (2020).

  • TEQIP Ph.D. Fellowship, Government of India (2013).
    These accolades reflect his outstanding research achievements and his dedication to advancing scientific knowledge in the field of biotechnology.

Recent Publication

Dr. Selvaraj has made significant contributions to scientific literature, with recent publications in high-impact journals:

  • Targeted Delivery of Thymoquinone-Encapsulated Polyethyleneimine/Poly (Lactic Acid) Nanoparticles into Breast Cancer Cells
    JS Pandi, P Pavadai, E Babkiewicz, T Panneerselvam, P Maszczyk, et al.
    2025
    This study investigates the targeted delivery of thymoquinone, a potent anticancer agent, encapsulated in nanoparticles to enhance the therapeutic efficacy in breast cancer treatment.

  • Computational Discovery of Plant-Derived Flavonoids as Potential Amyloid-β Fibril Disaggregating Agents for Alzheimer’s Disease
    UL Rakesh, GA Kumar, T Panneerselvam, P Pavadai, S Veerachamy, et al.
    Brain Disorders 18, 100233, 2025
    This research presents computational methods for identifying plant-derived flavonoids that could aid in Alzheimer’s treatment by disrupting amyloid-β fibrils.

  • Network Analysis and In Silico Molecular Modeling of Bioactive Compounds from Sida cordifolia Against NMDA Receptor
    CC Murali, S Kunjiappan, S Murugesan, SRK Pandian, T Kathiresan, et al.
    Journal of Computational Biophysics and Chemistry 24 (03), 307-318, 2025
    A comprehensive study using in silico methods to model bioactive compounds derived from Sida cordifolia and their potential for modulating the NMDA receptor, which plays a crucial role in neurodegenerative diseases.

  • Targeting the PI3K Pathway: Advancements and Achievements in Breast Cancer Therapy
    BGH Dinesh, SK Bandral, NM Sadashivappa, S Ganjipete, DN Ammunje, et al.
    Current Pharmaceutical Design, 2025
    This review provides an in-depth overview of the PI3K signaling pathway and its targeted therapies, particularly in the context of breast cancer treatment.

  • Elevated Temperature Enhances Task Performance by Improving Cognitive Abilities in Common Rudd (Scardinius erythrophthalmus)
    M Sysiak, E Babkiewicz, ML Zebrowski, K Rutkowska, S Kunjiappan, et al.
    Scientific Reports 15 (1), 7662, 2025
    A novel study exploring how temperature changes can impact cognitive performance in fish, with potential implications for behavioral neuroscience.

  • Pharmacokinetics and Brain Tumor Delivery Studies of Thymoquinone-Encapsulated Eudragit L100-Coated Solid-Lipid Nanoparticles
    J Senthamarai Pandi, P Pavadai, LM Sundar, M Sankaranarayanan, et al.
    Journal of Cluster Science 36 (1), 26, 2025
    This article investigates the pharmacokinetics and brain tumor-targeting potential of thymoquinone-loaded solid lipid nanoparticles, a promising delivery system for cancer therapy.

  • Surface Receptor-Targeted Protein-Based Nanocarriers for Drug Delivery: Advances in Cancer Therapy
    P Theivendren, P Pavadai, S Veerachamy, P Palanisamy, S Kunjiappan
    Nanotechnology 36 (12), 122003, 2025
    A review on the development of protein-based nanocarriers and their specific applications in targeting cancer cells for improved drug delivery.

  • Folic Acid-Conjugated Ferulic Acid-Entangled Single-Walled Carbon Nanotubes: A Targeted Therapeutic Approach for Effective Breast Cancer Treatment
    Journal of Drug Delivery Science and Technology 107111 (2), 1-22, 2025
    This study explores the use of folic acid-conjugated carbon nanotubes for targeted drug delivery in breast cancer, enhancing the effectiveness of treatment.

  • Cellulase from Halomonas elongata for Biofuel Application: Enzymatic Characterization and Inhibition Tolerance Investigation
    MD Narayanan A, Jeyaram K, Prabhu AA, Krishnan S, Kunjiappan S, Baskaran N
    Preparative Biochemistry and Biotechnology 1 (1), 1-20, 2025
    A detailed investigation into the enzymatic properties of cellulase from Halomonas elongata and its potential applications in biofuel production.

Anil Suresh, Materials Science, Best Researcher Award

Prof. Dr Anil Suresh: Professor at SRM University AP, India

Dr. Anil K. Suresh is a renowned Professor in the Department of Biological Sciences at SRM University-AP, India, where his work is at the cutting edge of biomedical and environmental nanotechnology. His research interests lie at the intersection of sustainable nanomaterials, biomedical applications, and environmental remediation. He focuses on the green synthesis of nanoparticles, aiming to reduce toxicity while enhancing their effectiveness in medical and environmental solutions. Prof. Suresh’s expertise extends to antimicrobial drug resistance, ocular drug delivery, and the development of innovative nanomedicines for cancer therapy. His academic journey includes prestigious roles at McGill University and Oak Ridge National Laboratory, and his contributions have earned him recognition both in India and internationally. In addition to his academic role, he is the founder of “Sustainable Science Solutions,” a start-up focusing on environmentally-friendly technologies. Prof. Suresh has published extensively in top-tier journals and is a recipient of multiple awards, including the Ramalingaswami Fellowship and the Gold Medal for Outstanding Scientist in Nanoscience.

Online Profiles

  • Total Citations: 4,250

  • h-index: 21

  • i10-index: 30

Prof. Suresh’s research has had a significant impact in his field, as evidenced by his citation count and impressive h-index. His work is widely cited across several domains of nanotechnology and biomedical applications. His h-index of 21 reflects his consistent contribution to high-quality, impactful research.

Education

  • Ph.D. in Nano-Biotechnology, National Chemical Laboratory, Pune, India (2007).
    Prof. Suresh’s doctoral research focused on developing novel nanomaterials for drug delivery applications, especially in targeting resistant bacterial strains.

  • M.Sc. in Biotechnology, Pondicherry Central University, India (2001).
    During this time, he developed a strong interest in bioengineering, which laid the foundation for his future research on biocompatible materials.

  • B.Sc. in Botany, Zoology, Chemistry, Osmania University, Hyderabad, India (1999).
    His undergraduate education provided a broad understanding of biological sciences, allowing him to approach nanobiotechnology from an interdisciplinary perspective.

Research Focus

Prof. Suresh’s research is driven by a desire to use sustainable science to address pressing global challenges in medicine and the environment. He is particularly focused on:

  1. Sustainable Nanotechnology: Developing green and cost-effective synthesis methods for nanoparticles that are both environmentally friendly and efficient in medical and industrial applications.

  2. Nanomedicine: Exploring the potential of nanoparticles for targeted drug delivery, especially in the treatment of diseases such as cancer and antibiotic-resistant infections. His work also extends to ocular drug delivery, offering promise for non-invasive treatments.

  3. Environmental Remediation: Investigating the use of nanomaterials to remove persistent organic pollutants from water and soil, contributing to sustainable water management and waste treatment technologies.

  4. Toxicology and Biocompatibility: Analyzing the interactions between nanoparticles and biological systems to ensure their safety for human and environmental health, with a focus on minimizing toxicity and maximizing therapeutic efficacy.

Experience

Dr. Suresh’s academic and research journey spans over two decades, with significant contributions in both academic and research settings globally. His experience includes:

  • 2025–Present: Professor, Department of Biological Sciences, SRM University-AP, India.
    Leading multiple research projects in sustainable nanotechnology, including collaborations with international universities and research labs.

  • 2018–2024: Associate Professor, SRM University-AP.
    Pioneered research in eco-friendly nanomaterials and their applications in medical diagnostics and treatment.

  • 2017–2018: Associate Professor and Head, Department of Biological Sciences, SRM University-AP.
    Developed new interdisciplinary programs and research initiatives focused on biomedical nanotechnology.

  • 2015–2016: Ramalingaswami Fellow/Associate Professor, SRMIST, Chennai, India.
    Led high-impact research on antimicrobial nanostructures and environmentally sustainable materials.

  • 2009–2013: Postdoctoral Research Associate, Oak Ridge National Laboratory, USA.
    Focused on material science and nanotechnology with applications in energy and environmental sustainability.

  • 2007–2009: Postdoctoral Fellow, McGill University, Canada.
    Worked on developing nanostructured materials for biomedical imaging and cancer therapeutics.

Research Timeline

Prof. Suresh’s research has evolved in alignment with emerging global challenges in sustainability and healthcare. Key phases of his research include:

  • 2015–2016: Initiated work on biogenic methods for the synthesis of nanoparticles, leveraging waste biomaterials such as fish scales and plant fibers for environmentally friendly production processes.

  • 2017–2020: Advanced the development of antimicrobial nanoparticles and their application in overcoming multi-drug resistance, including work on drug delivery for ocular diseases.

  • 2021–Present: Focused on developing nanomaterial-based solutions for wastewater treatment, improving the cost-effectiveness and efficiency of existing technologies. Also, initiated research on the use of biodegradable nanomaterials for sustainable environmental clean-up.

Awards & Honors

Prof. Suresh’s dedication to advancing science has been recognized by numerous prestigious awards:

  • Indian Academy of Sciences – Associate Fellow (2019), recognizing his contributions to sustainable nanotechnology and interdisciplinary research.

  • Gold Medal for Outstanding Scientist in Nanoscience & Nanotechnology, Andhra Pradesh Association of Biotechnology & Pharmacy (2019).

  • Ramalingaswami Fellowship (2013–2019), awarded by the Department of Biotechnology, Govt. of India, for pioneering research in sustainable nanomaterials.

  • Lady Tata Memorial Award (2019, shortlisted), for excellence in biochemistry and medical nanotechnology.

  • Early Career Research Award (2017–2020), awarded by the Department of Science and Technology, Govt. of India, for his research on bio-inspired nanomaterials.

Recent Publications

  • Next-Generation Theragnostic Gold Nanoparticles: Sustainable Bioengineering Strategies for Enhanced Stability and Biocompatibility
    S. Khan, V.V. Dasari, B. Paila, S. Asok, W. Nshimiyimana, C.S. Bhatt, …
    Coordination Chemistry Reviews, 543, 216925 (2025)

  • In Situ Sustainable Synthesis of Gold-Supported Microporous-Hierarchical Scaffold for High-Capacity Hydrogenation and Easy Recovery
    J. Lingam, V.V. Dasari, C. Korupalli, A.K. Suresh
    Journal of Materials Science, 1-11 (2025)

  • Upcycling of Fish Scales into a Au-Templated Mechanically Extractable Sturdy and Malleable Supported Catalyst for Cleansing Water
    C.S. Bhatt, V.V. Dasari, A.K. Suresh
    ACS ES&T Water (2025)

  • Feeling of an Eye When It Meets the Unseen “Nano”
    S. Khan, S. Asok, V.V. Dasari, S. Magar, B. Paila, A.K. Suresh
    Analytical Chemistry, 97 (17), 9326-9335 (2025)

  • Pros and Cons of Nanomedicine While Targeting Inflammatory Diseases
    T.P. Puchakayala, S.V. Kakarlapudi, D.S. Parimi, P. Vadla, A.V. Kanumuri, …
    Emergence of Sustainable Biomaterials in Tackling Inflammatory Diseases, 459-478 (2025)

  • Fundamentals of Nano-Based Drug Delivery Systems
    Y. Shiva, P. Vadla, S. Rodda, D.S. Parimi, B. Paila, V.V. Dasari, A.K. Suresh
    Emergence of Sustainable Biomaterials in Tackling Inflammatory Diseases, 131-152 (2025)

  • Emergence of Sustainable Biomaterials in Tackling Inflammatory Diseases
    M.M. Ansari, A.K. Suresh, N. Akhtar
    Springer Nature (2025)

  • The Plastic Problem in Research Laboratories: A Call for Sustainability
    V.V. Dasari, A.K. Suresh
    ACS Sustainable Resource Management, 2 (4), 564-568 (2025)

  • Sustainable Synthesis of Truncated Au-Sensors Embedded Within Robust Snipped Human Nails to Monitor Dye Adulteration in Real Food Samples
    J. Kumar, D.S. Parimi, S. Khan, R. Panneerselvam, A.K. Suresh
    Analytical Methods, 17 (24), 4951-4960 (2025)

Tomonobu Nonoyama, Computer Science, Best Researcher Award

Dr. Tomonobu Nonoyama: Postdoctoral researcher at Akita Prefectural University, Japan

Tomonobu Nonoyama is a Japanese researcher specializing in plant biomechanics and computational modeling, currently serving as a postdoctoral researcher at the Department of Mechanical Engineering, System Science and Technology at Akita Prefectural University. With a foundation in mechanical engineering and advanced training in life sciences, his work bridges biology and physics to investigate how plants grow, sense, and respond to their environments. He has contributed to both experimental and simulation-based studies, with a growing publication record in high-impact journals such as Scientific Reports, Plant and Cell Physiology, and PLOS ONE. Dr. Nonoyama’s interdisciplinary expertise enables him to approach biological complexity with engineering precision.

Online Profiles

ORCID Profile

Dr. Nonoyama maintains an active presence across academic platforms to share his work and collaborate globally. His research output and citations can be found on Google Scholar, while ongoing projects and preprints are available on ResearchGate. He may also be listed on institutional directories such as the Akita Prefectural University website and other professional networks like ORCID, where researchers manage their publication history and affiliations. Please refer to his institutional email for further inquiries or collaboration interests.

Education

Dr. Nonoyama received his Bachelor of Science in Engineering in 2014 from Tohoku University’s Department of Mechanical and Aerospace Engineering, where he developed a strong technical foundation. He pursued graduate studies in the Department of Environmental Life Sciences at the same university, earning his Master of Science in 2016 and Ph.D. in Life Sciences in 2020 under the supervision of Prof. Satoshi Chiba. His graduate work focused on evolutionary biology and simulation of complex plant structures, laying the groundwork for his later studies in plant mechanics and modeling. This combination of mechanical and life sciences education forms the core of his interdisciplinary research approach.

Research Focus

Dr. Nonoyama’s research interests are centered on plant biomechanics, specifically investigating how mechanical forces and cellular structures influence plant growth and morphology. He uses both agent-based simulations and mathematical modeling to study complex biological processes such as cortical microtubule alignment, zygote development, and tip growth. His work also extends to analyzing movement and deformation in sensitive plants like the Venus flytrap, where engineering principles are used to infer internal biological forces. A significant part of his current research explores how plant cells coordinate structural growth through mechanical feedback and material properties, with potential applications in biomimetics and agricultural engineering.

Experience

Since April 2022, Dr. Nonoyama has been affiliated with Akita Prefectural University as a postdoctoral researcher, where he continues to develop computational models of plant development and collaborate on interdisciplinary projects in mechanical systems. Prior to that, he held a research position at the Center for Northeast Asian Studies at Tohoku University from 2020 to 2022. During that time, he transitioned his focus from purely biological systems to integrating mechanical simulations and systems theory, contributing to several cross-disciplinary publications. His academic journey reflects a progression from traditional engineering to cutting-edge life sciences research, where simulation, modeling, and empirical observation come together.

Research Timeline

Dr. Nonoyama began his academic training in 2010 at Tohoku University, completing his undergraduate studies in mechanical and aerospace engineering in 2014. From 2014 to 2016, he pursued a master’s degree in life sciences, followed by doctoral research from 2016 to 2020, focusing on hypothetical evolutionary pathways and mechanical modeling of plant forms. After earning his Ph.D., he joined Tohoku University’s Center for Northeast Asian Studies as a postdoctoral researcher, where he developed computational models of plant tissue growth and behavior. Since 2022, he has continued this work at Akita Prefectural University, broadening his research into plant mechanics and systems engineering.

Top-Noted Publication

Among Dr. Nonoyama’s body of work, one standout publication is “Agent-based simulation of cortical microtubule band movement in Arabidopsis zygotes”, published in Scientific Reports (2025). This paper presents a novel simulation approach to modeling microtubule behavior, which is critical to understanding how plant zygotes establish polarity and growth direction. By collaborating with experts in plant biology and systems modeling, Dr. Nonoyama helped bridge empirical cell biology and computational engineering. The study has been noted for its methodological innovation and relevance to developmental plant biology.

  • Agent-based simulation of cortical microtubule band movement in Arabidopsis zygotes
    Published: Scientific Reports, July 28, 2025
    DOI: 10.1038/s41598-025-11078-8
    Contributors: Tomonobu Nonoyama, Zichen Kang, Hikari Matsumoto, Sakumi Nakagawa, Minako Ueda, Satoru Tsugawa

  • KymoTip: High-throughput Characterization of Tip-growth Dynamics in Plant Cells
    Preprint: July 2, 2025
    DOI: 10.1101/2025.06.27.661917
    Contributors: Zichen Kang, Yusuke Kimata, Tomonobu Nonoyama, Toru Ikeuchi, Kazuyuki Kuchitsu, Satoru Tsugawa, Minako Ueda

  • A viscoelastic–plastic deformation model of hemisphere-like tip growth in Arabidopsis zygotes
    Published: Quantitative Plant Biology, 2024
    DOI: 10.1017/qpb.2024.13
    Contributors: Zichen Kang, Tomonobu Nonoyama, Yukitaka Ishimoto, Hikari Matsumoto, Sakumi Nakagawa, Minako Ueda, Satoru Tsugawa

  • Agent-Based Simulation of Cortical Microtubule Band Movement in Arabidopsis Zygotes
    Preprint: October 18, 2024
    DOI: 10.1101/2024.10.17.618799
    Contributors: Tomonobu Nonoyama, Zichen Kang, Hikari Matsumoto, Sakumi Nakagawa, Minako Ueda, Satoru Tsugawa

  • Temporal changes in surface tension guide the accurate asymmetric division of Arabidopsis zygotes
    Preprint: August 9, 2024
    DOI: 10.1101/2024.08.07.605794
    Contributors: Zichen Kang, Sakumi Nakagawa, Hikari Matsumoto, Yukitaka Ishimoto, Tomonobu Nonoyama, Yuga Hanaki, Satoru Tsugawa, Minako Ueda

Nayara Bucair, Marine Science, Best Researcher Award

Doctorate Nayara Bucair: PhD at University of São Paulo, Brazil

Nayara Bucair is a passionate marine scientist and conservationist with expertise in oceanography, environmental sustainability, and the study of marine megafauna, particularly mobulid rays. She combines fieldwork, underwater photography, and advanced data analysis to investigate species distribution, behavior, and taxonomy. Nayara’s work contributes to marine biodiversity conservation efforts, focusing on Brazilian and Atlantic Ocean ecosystems, and she is committed to raising awareness about the threats these species face.

Online Profiles

ORCID Profile

Nayara maintains active online profiles on professional and academic platforms such as ResearchGate and LinkedIn, where she shares her research findings, publications, and project updates. She collaborates closely with conservation organizations like the Marine Megafauna Foundation and Projeto Mantas do Brasil. These platforms allow her to connect with other researchers, engage in scientific discourse, and contribute to global marine conservation initiatives.

Education

Nayara holds a Bachelor’s degree in Oceanography from the Federal University of Rio Grande, Brazil (2005–2010), where she developed strong foundations in marine sciences, data collection, and ecological studies. In 2021, she completed a Post-graduate program in Environment and Sustainability at Fundação Getúlio Vargas, Brazil, accumulating 432 hours of specialized coursework focused on environmental policies, sustainable development, and ecological impact assessment.

Research Focus

Her research primarily centers on the taxonomy, ecology, and conservation of marine megafauna, with an emphasis on mobulid rays such as manta and devil rays. Nayara uses integrative approaches combining field observations, genetic analysis, and spatial modeling to better understand species diversity, behavior, and the effects of human activities. Her work supports the development of conservation strategies and marine protected areas.

Experience

Nayara’s professional experience spans several roles including Research Assistant at the Marine Megafauna Foundation in Mozambique (2017), where she participated in field data collection and species monitoring. From 2015 to 2017, she managed underwater photography projects at All Angle Images in Fernando de Noronha, Brazil, documenting marine biodiversity. In 2020, she volunteered as a researcher in European Copernicus environmental programs focused on remote sensing and water quality assessment. Throughout her career, Nayara has combined scientific research with practical conservation efforts.

Research Timeline

Since 2015, Nayara has been actively engaged in marine megafauna research and conservation projects in Brazil and Mozambique. She contributed to data collection, analysis, and publication of scientific articles that have influenced marine biodiversity conservation policies. From fieldwork and photographic documentation to publishing peer-reviewed studies, her work has consistently advanced the understanding of mobulid ray species and their habitats.

Awards & Honors

Nayara has earned recognition within the marine science community for her contributions to the study and conservation of marine megafauna. While specific awards are not detailed here, her work has been featured in reputable international journals, and she has received support and collaborations from leading conservation NGOs, reflecting her standing in the field.

Top-Noted Publication

Her 2025 publication, “An integrative taxonomy investigation unravels a cryptic species of Mobula Rafinesque, 1810 (Mobulidae, Myliobatiformes), from the Atlantic Ocean,” published in Environmental Biology of Fishes, stands out as a landmark study. This research sheds light on previously unrecognized species diversity within mobulid rays, providing crucial information for taxonomy and conservation efforts, and showcasing Nayara’s role in advancing marine biodiversity knowledge.

  • An integrative taxonomy investigation unravels a cryptic species of Mobula Rafinesque, 1810 (Mobulidae, Myliobatiformes), from the Atlantic Ocean
    Environmental Biology of Fishes (2025)
    DOI: 10.1007/s10641-025-01727-2
    This study reveals a previously unknown cryptic species within the Mobula genus in the Atlantic Ocean, using integrative taxonomic methods combining morphology and genetics. Contributors include Nayara Bucair, Silvia Hinojosa-Alvarez, Andrea Denise Marshall, and others.

  • Occurrence, distribution and threats to mobulid rays in Brazil: A review and updated database
    Aquatic Conservation: Marine and Freshwater Ecosystems (2024)
    DOI: 10.1002/aqc.4203
    This comprehensive review updates the distribution records and conservation status of mobulid rays in Brazilian waters, highlighting ongoing threats. Authors include Bucair, Mendonça, Santos, and colleagues.

  • Opportunistic sightings of manta rays on Brazil’s Amazon Coast
    Journal of Fish Biology (2024)
    DOI: 10.1111/jfb.15593
    Documenting rare manta ray sightings on the Amazon Coast, this article expands knowledge of their range and behavior in understudied regions. Contributors include Bucair, Dias, Nunes, and others.

  • The complete mitochondrial genome of the endangered Atlantic Pygmy Devil Ray, Mobula hypostoma (Bancroft, 1831), from Brazil
    Molecular Biology Reports (2024)
    DOI: 10.1007/s11033-024-09982-9
    This research presents the full mitochondrial genome sequencing of Mobula hypostoma, providing valuable genetic data for conservation efforts. Contributors include Nayara Bucair, Amana Garrido, Kátia Capel, and others.

  • Evidence of mating scars in female tiger sharks (Galeocerdo cuvier) at the Fernando de Noronha Archipelago, Brazilian Equatorial Atlantic
    Environmental Biology of Fishes (2023)
    DOI: 10.1007/s10641-022-01380-z
    This paper documents physical evidence of mating behavior in female tiger sharks, offering insights into reproductive biology. Contributors include Bianca S. Rangel, André S. Afonso, Nayara Bucair, and others.

Suraj Kumar Rajbhar, Engineering, Best Researcher Award

Doctorate Suraj Kumar Rajbhar: Ph.D Research scholar at Indian Institute of Technology (Indian School of Mines) Dhanbad, India

Suraj Kumar Rajbhar is a motivated Ph.D. Research Scholar at the Indian Institute of Technology (Indian School of Mines) specializing in Electrical Engineering with a focus on Power Systems. He holds a Master of Technology degree in Power Systems from the National Institute of Technology Silchar, Assam. With a strong foundation in power system operation and control, Suraj combines academic rigor with three years of hands-on experience in terminal automation systems, driving innovations in power system optimization and reactive power management. His research contributions aim to improve the efficiency, reliability, and sustainability of modern electrical grids.

Online Profiles

Scopus Profile

Suraj actively engages with the global academic and engineering community through his LinkedIn profile, where he shares insights on power system optimization and connects with peers and industry experts. His profile includes detailed descriptions of his research projects, publications, and conference presentations.

Suraj Kumar Rajbhar is affiliated with the Indian Institute of Technology (Indian School of Mines), Dhanbad, India. He is indexed in Scopus with the author ID 58982723300. Currently, Suraj has 3 documents listed under his profile, with citations yet to be accrued, reflecting the emerging nature of his research career. His scholarly contributions are poised to impact the field of power system optimization and control as he continues to publish and present in high-quality international venues.

Education

Suraj earned his Master of Technology degree in Power Systems from the prestigious National Institute of Technology Silchar, graduating in November 2022 with distinction. His M.Tech thesis focused on power system optimization techniques. He is currently pursuing a Ph.D. at the Indian Institute of Technology (Indian School of Mines), where he continues to deepen his expertise in power system operation, control strategies, and reactive power planning, aiming to contribute original research that addresses current challenges in electrical power engineering.

Research Focus

Suraj’s research is centered on enhancing the operation and control of power systems, with a particular focus on optimizing power flow and managing reactive power for improved system stability and efficiency. He specializes in developing metaheuristic algorithms and advanced optimization techniques, such as the Crow Search Algorithm and Rao Algorithm, to address complex power dispatch challenges involving multi-type Flexible AC Transmission Systems (FACTS) devices. His work seeks to provide practical solutions that ensure grid reliability and support sustainable energy integration.

Experience

With over three years of experience in terminal automation systems, Suraj brings practical engineering insights to his academic research. During his M.Tech program, he served as a research scholar at NIT Silchar, working on projects related to power system optimization from 2020 to 2022. Currently, as a Senior Research Fellow (SRF) at IIT (ISM), he leads research initiatives that integrate algorithmic development and system analysis to tackle emerging issues in power system management and operation.

Research Timeline

Suraj’s research journey began during his M.Tech studies at NIT Silchar (2020–2022), where he developed foundational expertise in power system optimization. His transition to a Ph.D. program at IIT (ISM) in late 2022 marked a shift toward more complex and applied research problems, including the optimization of reactive power dispatch using metaheuristic methods and FACTS device integration. Throughout this period, he has actively published in reputed journals and presented at international IEEE conferences, showcasing the evolution and impact of his work.

Awards & Honors

Suraj’s scholarly contributions have been recognized through multiple presentations at international conferences, including IEEE forums, where his innovative approaches to reactive power management and load scheduling have garnered positive peer reviews. While formal awards are forthcoming, his growing publication record and conference participation highlight his standing as an emerging expert in power system optimization and control.

Top-Noted Publication

Among Suraj’s publications, the paper titled “Metaheuristic techniques and optimal VAr support to the vulnerable buses for improved reactive power planning,” published in 2025 in the International Journal of System Assurance Engineering and Management, stands out. This work introduces novel metaheuristic optimization methods to enhance reactive power support in power systems, demonstrating significant improvements in system stability and efficiency. The paper has been well-received by the academic community and cited as a valuable contribution to the field of power engineering.

Suraj Kumar Rajbhar’s notable publication titled “Metaheuristic techniques and optimal VAr support to the vulnerable buses for improved reactive power planning” appeared in the International Journal of System Assurance Engineering and Management in 2025. This research addresses the challenge of enhancing reactive power support in power systems using advanced metaheuristic optimization methods. Although currently under limited access and yet to receive citations, this article highlights Suraj’s innovative contributions to power system stability and control.

Bidisha Chakraborty, Economics, Best Researcher Award

Professor Bidisha Chakraborty: Professor at Jadavpur University, India

Prof. Bidisha Chakraborty is a senior academic in the field of Development Economics and currently serves as Professor at the Department of Economics, Jadavpur University, Kolkata. Over the past two decades, she has built a robust portfolio of theoretical and policy-relevant research on human capital, growth, inequality, and child labour. Her scholarly work integrates complex mathematical modeling with real-world socio-economic challenges, particularly those faced by developing countries. A widely published economist, she has co-authored several influential papers and contributed to interdisciplinary studies on mental health, education systems, and welfare policy. She is also actively involved in teaching and mentoring postgraduate students and doctoral candidates.

Online Profiles

Scopus Profile

Prof. Chakraborty’s academic profile is accessible via the Jadavpur University Economics Department, which outlines her research interests, institutional affiliations, and contact details. While no direct links to ORCID, ResearchGate, or Google Scholar are currently listed, her publications are available through academic databases such as Springer, Elsevier, and JSTOR. She frequently collaborates with Indian and international scholars and presents at major economic conferences globally, making her a well-networked researcher in the field.

  • Total Documents: 18

  • Total Citations: 55 (from 49 citing documents)

  • h-index: 4

Education

Prof. Chakraborty completed her Ph.D. in Economics from the Indian Statistical Institute in December 2008, focusing on growth dynamics, human capital formation, and policy interventions in dual economies. Her doctoral research, under the supervision of Prof. M.R. Gupta, contributed novel theoretical frameworks to the field of endogenous growth. Her academic journey reflects a strong quantitative and analytical background, grounded in microeconomic and macroeconomic theory, dynamic systems, and applied econometrics. She has also been associated with premier institutions during her research training years.

Research Focus

Her research interests lie at the intersection of macroeconomic theory and developmental policy, particularly focusing on endogenous growth, education, public policy, labour markets, inequality, and child labour. She is especially known for her work on integrating human capital into dynamic growth models and evaluating the role of education subsidies, landholding patterns, and government policies on economic outcomes. In recent years, she has expanded into interdisciplinary areas such as socioeconomics and mental health, addressing how institutional and behavioral factors influence well-being and productivity in low-income settings.

Experience

Prof. Chakraborty began her career as a Junior and then Senior Research Fellow at the Economic Research Unit, Indian Statistical Institute, where she engaged in advanced theoretical modeling and empirical analysis. Since joining Jadavpur University, she has been involved in academic administration, curriculum development, and graduate-level instruction, along with guiding M.Phil. and Ph.D. research. She has participated in policy discussions and presented her work at international conferences in the U.S., U.K., China, and Russia. Her experience spans pure theoretical research to field-based socio-economic studies, reflecting a well-rounded academic career.

Research Timeline

Her academic publication record began in 2006, marked by foundational work on dual economy models and the inclusion of human capital in growth frameworks. Between 2006 and 2010, she published extensively on macroeconomic models of education and inequality. From 2011 onward, her work diversified to include public-private partnerships, service sector dynamics, and taxation in growth models. In the last decade, her research has increasingly integrated empirical work—on child labour, urban mental health, and happiness metrics—adding depth to her theoretical background. This timeline reflects a steady evolution from formal modeling to interdisciplinary applications.

Awards & Honors

While formal awards are not explicitly mentioned, Prof. Chakraborty’s contributions have been recognized through invitations to major academic conferences such as the Midwest Econometrics Group, DEGIT, and the Asian Meeting of the Econometric Society. Her paper presentations at Boston University, the University of Iowa, and University of Lincoln reflect international recognition. She has also received funding support from institutions like ICSSR and has collaborated with researchers from reputed Indian institutions and international universities, underlining her status as a leading researcher in development and policy economics.

Top-Noted Publication

Among her numerous contributions, the paper titled “Human Capital Accumulation and Endogenous Growth in a Dual Economy”, published in the Hitotsubashi Journal of Economics (2006), is considered one of her most impactful. Co-authored with Prof. M.R. Gupta, the paper developed a dynamic model linking dual-sector structures with educational investments and long-term growth. It remains frequently cited in studies analyzing the structural transformation of economies and the role of educational subsidies in fostering equitable development. The model has influenced both theoretical discourse and policy considerations on human capital and development in emerging economies.

Article

Women Empowerment, Parental Education and Future Human Capital Formation (Evidences from Urban Slum Area in India)

  • Focus: The study explores how women’s empowerment and parental education influence the future human capital of children in urban slums.

  • Key insights: Women’s decision-making power significantly affects children’s school enrollment and nutrition outcomes.

  • Publication: Journal of Quantitative Economics, 2025

Gurseen Rakhra, Medicine, Best Researcher Award

Dr. Gurseen Rakhra: Assistant Professor at Manav Rachna International Institute of Research and Studies, India

Dr. Gurseen Rakhra is an experienced academic and researcher specializing in Life Sciences, with a focus on Nutrition, Biochemistry, and Metabolic Health. She currently serves as an Assistant Professor at Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India. Dr. Rakhra holds a Ph.D. in Life Sciences with specialization in Nutrition & Biochemistry from the Defense Institute of Physiology and Allied Sciences (DIPAS), DRDO, India. Her work revolves around human health, particularly metabolic diseases, gut health, and the development of nutritional strategies for disease prevention and recovery.

Online Profiles

Google Scholar Profile

Dr. Gurseen Rakhra is actively involved in research and academia with a robust presence in the field of Nutrition & Biochemistry. She has multiple research collaborations, publications in international journals, and her work has been featured in conferences. She serves as a journal reviewer for “Biological Trace Element Research” and is a life member of the Indian Science Congress and the Nutrition Society of India. Her professional and academic engagements can be explored through platforms like ResearchGate and Google Scholar, where her contributions to human health research are extensively cataloged.

Since 2020, Dr. Gurseen Rakhra’s research has gained significant recognition, with 125 total citations and 116 citations in recent years. Her work has an h-index of 6, reflecting the impact and consistency of her publications in the field of nutrition, biochemistry, and human health. She also holds an i10-index of 2, indicating her contributions to the literature in terms of individual articles with ten or more citations. These metrics highlight the growing influence of her research in the academic community.

Education

Dr. Gurseen Rakhra completed her Ph.D. in Life Sciences with a focus on Nutrition & Biochemistry from the Defense Institute of Physiology and Allied Sciences (DIPAS), DRDO, India, in March 2019. Her doctoral research explored the relationship between energy expenditure, body composition, and the status of essential minerals in individuals with varying physical activity levels. Prior to this, she earned an M.Phil. in Life Sciences from the same institute and a Master’s degree in Molecular Biology & Biochemistry (Honors) from Guru Nanak Dev University, Amritsar. Her academic journey began with a B.Sc. in Medical Sciences with a specialization in Biotechnology.

Research Focus

Dr. Rakhra’s research focuses on the intersection of nutrition and human health, with a particular emphasis on metabolic diseases, gut health, and biomarkers for chronic conditions such as Inflammatory Bowel Disease (IBD) and obesity. She is involved in several projects examining the effects of dietary interventions like low FODMAP on gut health and exploring the efficacy of nutritional strategies for enhancing recovery in athletes. She is also developing novel biomarkers for the nutritional status of metals, with ongoing research into their role in various health conditions.

Experience

With over seven years of research experience, Dr. Rakhra has held multiple academic and research positions. Currently, she is an Assistant Professor at the Department of Nutrition & Dietetics at Manav Rachna International Institute of Research & Studies, where she supervises graduate students and leads research projects. Prior to this, she worked as a Research Associate at AIIMS and contributed to innovative studies involving new intravitreal agents for diabetic conditions. Dr. Rakhra’s extensive experience in both academic and research settings is underscored by her significant role in guiding PhD candidates and post-graduate students on research related to human health, nutrition, and disease prevention.

Research Timeline

Dr. Rakhra’s research career spans over a decade. She began her doctoral studies at DIPAS in 2012, focusing on energy expenditure and body composition. Post-PhD, she has expanded her research into the areas of gut health, obesity, and nutritional interventions for metabolic disorders. In 2024, her project “Evaluation of Dietary Approaches for Reduced Inflammation and Enhanced Recovery (DARIER)” received national funding from the Ministry of Youth Affairs and Sports. Her research timeline includes multiple publications and contributions to developing nutrition-based strategies for improving public health.

Awards & Honors

Dr. Rakhra has been recognized for her academic and research excellence throughout her career. She has received several awards, including accolades for her work in Nutrition & Biochemistry and her contributions to public health. She is a life member of prestigious organizations such as the Indian Science Congress and the Nutrition Society of India. Additionally, Dr. Rakhra has been invited to present her research at various national and international conferences and has been a recipient of grants for her research projects.

Top-Noted Publication

Among her extensive list of publications, one of the most notable works is her recent study on the “Versatility of Nitric Oxide in Plants” published in Nitric Oxide in 2024. She has also contributed extensively to research on the relationship between gut microbiomes and chronic diseases, with her work featured in top-tier journals like the African Journal of Biological Sciences and The Journal of Sports Medicine and Physical Fitness. Her publications have made significant strides in understanding metabolic health, nutrition, and the molecular underpinnings of chronic diseases.

  • ats, A., Rakhra, G., Masih, D., Singh, S.N. (2018). Concurrent analysis of fat and water-soluble vitamins in biological fluids using reverse-phase high-performance liquid chromatography technique. Al Ameen Journal of Medical Sciences, 11(3), 147-153.

  • Malhotra, R., Rakhra, G., Chouhan, P. (2024). Role of lipid-soluble vitamins in MERS-related infections. In The Role of Vitamins in Combating Infectious Viral Diseases, pp. 46-59.

  • Malhotra, R., Rakhra, G., Chouhan, P., Rakhra, G. (2024). Metabolic disorders and honey. Honey, pp. 76-85.

  • Rakhra, G. (2021). Effect of endurance training on copper, zinc, iron, and magnesium status in athletes. The Journal of Sports Medicine and Physical Fitness.

  • Rana, R.T., Chopra, S., Rakhra, G., Singh, S.N. (2018). A journey of dietary nitrate as a health promoter. International Journal of Pharmaceutical Sciences and Research, 9(5), 1737-1744.

Mohamed El-Moussaoui, Computer Science, Best Researcher Award

Doctorate Mohamed El-Moussaoui: Ph.D graduate at Chouaib Doukkali University, Morocco

Mohamed El-Moussaoui is a distinguished expert with over 15 years of experience in the field of monetic engineering, specializing in the intersection of financial technology, artificial intelligence, and data science. With a Doctorate in Computer Science and AI from Chouaib Doukkali University, he has contributed significantly to both academic research and the development of innovative payment solutions. His professional journey spans leadership roles in major firms such as Hightech Payment Systems, Al Barid Bank, and HPS Group, where he successfully directed projects across Europe, the Americas, and Asia. Mohamed’s research bridges theory and application, focusing on community detection in social networks, using cutting-edge AI methodologies to enhance the security, analysis, and optimization of payment systems.

Online Profiles

Google Scholar Profile

Research Metrics
  • Total Citations: 84

  • Citations Since 2020: 82

  • h-index: 2

  • i10-index: 1

These metrics reflect Mohamed’s growing influence in the field of artificial intelligence and network science. With an h-index of 2, his publications are showing a consistent level of academic impact, and the high number of citations since 2020 indicates increasing recognition of his research on community detection and AI applications.

Education

Mohamed earned his Ph.D. in Computer Science and Artificial Intelligence from the prestigious Chouaib Doukkali University, graduating with the highest honors and commendations from his committee. His thesis was focused on the application of advanced algorithms for community detection in social networks, specifically leveraging association rule learning and fuzzy logic. He also holds a Master’s degree in Networks and Systems from Cadi Ayyad University, where he graduated with honors, and a Professional Bachelor’s degree in Computer Science. In addition to his academic journey, Mohamed completed military training at the École Royale de l’Air (ERA) in Marrakech, which shaped his discipline and leadership skills. His educational foundation has provided him with the analytical skills and technical expertise necessary to excel in both industry and academia.

Research Focus

Mohamed’s research primarily revolves around the development of sophisticated community detection techniques in social networks, utilizing association rule learning, fuzzy logic, and deep learning algorithms. He is especially interested in exploring how these methods can be applied to the field of monetic engineering to enhance payment security, fraud detection, and customer experience. His recent works focus on semantic-driven community models, multi-criteria decision-making techniques, and how AI-driven solutions can optimize both large-scale financial transactions and online social network analysis. His research also delves into systematizing deep learning approaches for network community detection, with a goal to bring practical applications to the field of digital payment systems.

Experience

Mohamed has a wealth of practical experience in both the public and private sectors, with a specific focus on the design and implementation of complex payment systems. Currently, he is serving as the Project Director at Hightech Payment Systems, where he is responsible for overseeing the company’s international projects related to digital payment infrastructures across Europe, the Americas, and Asia. Previously, he worked as the Head of the Monetic Engineering Division at Al Barid Bank, managing the integration and innovation of payment systems, including developing and launching new payment services for both retail and corporate clients. He has also held pivotal roles at HPS Group and S2M, where he contributed to product development, systems integration, and managed teams across various regions, ensuring that their solutions met high security standards and customer requirements. Mohamed’s leadership and technical expertise have consistently resulted in the successful deployment of state-of-the-art monetic technologies.

Research Timeline

  • 2025 (Q1): Published “ARLClustering: An R Package for Community Detection” in Applied Network Science (IF 1.4), marking a significant contribution to the development of user interaction-based community detection algorithms.

  • 2024 (Q2): Published “A Multi-Agent-Based Approach for Community Detection” in The International Journal of Data Science and Analytics (IF 3.4), presenting a novel approach to analyzing user behaviors in online platforms.

  • 2025 (Q2): Currently working on a paper titled “A Fuzzy Logic-Based Approach for Community Detection,” under review at International Journal of Fuzzy Systems.

  • 2025 (Q2): A comprehensive systematic review titled “A Review of Deep Learning Methods for Community Detection” is being published in Frontiers in Artificial Intelligence (IF 3.0), providing an in-depth look at the latest advancements in AI for network analysis.

Awards & Honors

  • 2025: Honored with the “Very Honorable” distinction for his Ph.D. dissertation, awarded by Chouaib Doukkali University. This recognition acknowledges his substantial contributions to the field of AI and monetic engineering.

  • 2024: Best Paper Award at the ICEET’24 International Conference for his development of the ARLClustering R package, praised for its innovation and potential applications in social network analysis.

  • 2022: Selected as the Technical Program Chair for the International Workshop on Modeling and Analysis of Complex Networks with Applications (MACNA’22) held in Ontario, Canada, a significant recognition of his expertise and leadership in the field of network science.

  • 2020: Awarded for Best Communication at the International Conference on Smart City Applications (SCA’20) for his innovative work on community detection using association rule learning.

Top-Noted Publication

  • “A Comprehensive Literature Review on Community Detection: Approaches and Applications”
    M. El-Moussaoui, T. Agouti, A. Tikniouine, M. El Adnani. Procedia Computer Science, Vol. 151, 76 (2019)

    • This paper provides an in-depth review of various community detection methods, summarizing state-of-the-art approaches and their practical applications in diverse domains.

  • “A Novel Approach of Community Detection Using Association Rules Learning: Application to User’s Friendships of Online Social Networks”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. Innovations in Smart Cities Applications, Volume 4 (2021)

    • A groundbreaking study that introduces the application of association rule learning (ARL) for detecting communities based on user friendships in online social networks.

  • “A Multi-Agent-Based Approach for Community Detection Using Association Rules”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. International Journal of Data Science and Analytics, Vol. 18 (4), 379-392 (2024)

    • This paper explores a multi-agent-based framework for community detection, applying association rules to analyze complex social networks and user behavior patterns.

  • “A k-Mean Classification Study of Eight Community Detection Algorithms: Application to Synthetic Social Network Datasets”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. AI and IoT for Sustainable Development in Emerging Countries, 557-572 (2022)

    • A comparative study evaluating the effectiveness of various community detection algorithms using synthetic datasets, with a focus on scalability and performance.

  • “ARLClustering: An R Package for Community Detection in Social Networks Based on User Interaction and Association Rule Learning”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. Applied Network Science, Vol. 10 (25), (2025)

    • Introduces ARLClustering, an R package designed to enhance community detection in social networks by utilizing user interaction data and association rule learning.

  • “ARLClustering: R Package for Community Detection-Based Association Rules Learning”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. International Conference on Engineering and Emerging Technologies (ICEET), 1-5 (2025)

    • Presentation of ARLClustering at ICEET’25, demonstrating its applications and potential for improving community detection processes in dynamic social networks.

  • “Community Detection in Social Networks: A State of the Art”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. International Conference on Mathematics & Data Science (ICMDS’20), 102 (2020)

    • A detailed state-of-the-art review on community detection methods, examining algorithms, challenges, and the impact of machine learning in social network analysis.

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