Muhammad Marwan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Marwan | Applied Mathematics | Best Researcher Award

Associate professor at Linyi university, China

Dr. Marwan Muhammad is a distinguished researcher in applied mathematics, specializing in bifurcation theory, chaos, fractals, mobile chaotic robots, control theory, synchronization, and secure communication. With an H-index of 11, he has published extensively in high-impact journals such as Fractals, Nonlinear Dynamics, and IEEE-IoT. Currently an Associate Professor at Linyi University, China, he has over a decade of teaching and research experience, including a postdoctoral fellowship at Zhejiang Normal University (ZJNU). His work integrates mathematical theory with practical applications in cryptography, robotics, and UAV dynamics. Dr. Muhammad has successfully supervised multiple Master’s students and collaborated on funded research projects. His global academic exposure, particularly in China and Pakistan, enhances his research perspective. While his contributions are significant, further international collaborations, industry engagement, and competitive research grants would solidify his standing as a leading expert in computational and applied mathematics.

Professional Profile

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Education

Dr. Marwan Muhammad holds a Ph.D. in Applied Mathematics from the Institute of Space Technology, Pakistan, where he specialized in nonlinear dynamics and stability analysis. His doctoral research focused on applying nonlinear tools to chaotic systems. He earned an M.S. in Mathematics from COMSATS Institute of Information Technology, Pakistan, with a thesis on Fejér-Hadamard inequalities for convex functions. His academic journey began with a B.S. in Mathematics from Islamia College University, Peshawar, where he was awarded a Gold Medal for his outstanding performance. His early education includes an HSSC and SSC from the Peshawar Board, securing top grades. Throughout his academic career, Dr. Muhammad demonstrated a strong foundation in theoretical and applied mathematics, equipping him with the expertise needed to excel in research and teaching. His education has played a pivotal role in shaping his research trajectory, particularly in bifurcation theory, chaos, fractals, and control systems.

Professional Experience

Dr. Marwan Muhammad has over a decade of experience in academia and research. He is currently an Associate Professor at Linyi University, China, where he teaches and supervises research in applied mathematics. Previously, he completed a postdoctoral fellowship at Zhejiang Normal University (ZJNU), China, focusing on advanced topics in nonlinear dynamics. His professional journey includes serving as a Lecturer at Islamabad Model Postgraduate College, Riphah International University, and the Higher Education Department of Peshawar. His teaching portfolio covers a broad range of mathematical disciplines, including computational mathematics, dynamical systems, and mathematical modeling. Additionally, he has worked on a research project funded by the Higher Education Commission (HEC) of Pakistan, leading to several high-impact publications. His international exposure, particularly in China and Pakistan, has enriched his academic perspective, allowing him to integrate diverse mathematical techniques into his research and contribute significantly to the global scientific community.

Research Interest

Dr. Marwan Muhammad’s research focuses on nonlinear dynamics, bifurcation theory, chaos, fractals, control theory, synchronization, and secure communication. His work in mobile chaotic robots and multi-scroll attractors has applications in cryptography, robotics, and artificial intelligence. He is particularly interested in the mathematical modeling of complex systems, including UAV dynamics, plasma systems, and satellite chaotic systems. His contributions extend to fractional calculus, where he has analyzed tumor-immune interactions and porous medium equations. His research also explores numerical methods for solving chaotic systems, emphasizing computational efficiency and accuracy. Dr. Muhammad’s interdisciplinary approach integrates mathematics, physics, and engineering, leading to innovative solutions for real-world problems. His recent publications in journals like Fractals and Nonlinear Dynamics demonstrate his ability to bridge theoretical insights with practical applications, positioning him as a key contributor to the fields of computational and applied mathematics.

Awards and Honors

Dr. Marwan Muhammad has been recognized for his academic excellence and research contributions. He was awarded a Gold Medal for securing the highest distinction in his undergraduate studies at Islamia College University, Peshawar. His research has been published in prestigious journals, highlighting his impact in the field of applied mathematics. His contributions to nonlinear dynamics and chaotic systems have earned him invitations to collaborate on international research projects. Additionally, his supervision of Master’s students and successful research collaborations reflect his commitment to academic mentorship. His work has received recognition from funding agencies such as the Higher Education Commission (HEC) of Pakistan, under which he successfully led research projects. While his accolades are notable, continued participation in international awards, securing competitive research grants, and expanding collaborations with leading global institutions would further elevate his reputation as a distinguished researcher in computational and applied mathematics.

Conclusion

Dr. Marwan Muhammad is an accomplished mathematician whose research in nonlinear dynamics, chaos, and fractals has significantly contributed to applied mathematics. With a strong educational foundation, international research experience, and extensive teaching background, he has established himself as a key figure in computational mathematics. His work has practical applications in cryptography, robotics, and control systems, making it relevant to both academia and industry. While his publications and collaborations are impressive, expanding his research network, securing additional funding, and engaging in interdisciplinary projects could further enhance his impact. His dedication to mentoring students and advancing mathematical knowledge underscores his potential for continued success. With sustained efforts, Dr. Muhammad is poised to become a leading authority in his field, driving innovation and discovery in mathematical sciences.

Publications Top Noted

  • Coexisting attractor in a gyrostat chaotic system via basin of attraction and synchronization of two nonidentical mechanical systems
    Authors: M. Marwan, V. Dos Santos, M.Z. Abidin, A. Xiong
    Year: 2022
    Citations: 11
    Source: Mathematics, 10(11), 1914

  • Retardational effect and Hopf bifurcations in a new attitude system of quad-rotor unmanned aerial vehicle
    Authors: M. Fiaz, M. Aqeel, M. Marwan, M. Sabir
    Year: 2021
    Citations: 11
    Source: International Journal of Bifurcation and Chaos, 31(09), 2150127

  • Control and numerical analysis for cancer chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, M. Shaukat
    Year: 2020
    Citations: 11
    Source: Archive of Applied Mechanics, 90, 2597-2608

  • Image cryptography communication using FPAA-based multi-scroll chaotic system
    Authors: K. Karawanich, J. Chimnoy, F. Khateb, M. Marwan, P. Prommee
    Year: 2024
    Citations: 8
    Source: Nonlinear Dynamics, 112(6), 4951-4976

  • Hopf bifurcation analysis for liquid-filled gyrostat chaotic system and design of a novel technique to control slosh in spacecrafts
    Authors: M. Sabir, S. Ahmad, M. Marwan
    Year: 2021
    Citations: 8
    Source: Open Physics, 19(1), 539-550

  • Investigation of fractional-ordered tumor-immune interaction model via fractional-order derivative
    Authors: G. Ali, M. Marwan, U.U. Rahman, M. Hleili
    Year: 2024
    Citations: 7
    Source: Fractals, 32(06), 1-10

  • Generalized Full Order Observer Subject to Incremental Quadratic Constraint (IQC) for a Class of Fractional Order Chaotic Systems
    Authors: M. Marwan, M.Z. Abidin, H. Kalsoom, M. Han
    Year: 2022
    Citations: 7
    Source: Fractal and Fractional, 6(4), 189

  • Generation of multi-scrolls in coronavirus disease 2019 (COVID-19) chaotic system and its impact on the zero-COVID policy
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 6
    Source: Scientific Reports, 13, 13954

  • Novel approaches for solving fuzzy fractional partial differential equations
    Authors: M. Osman, Y. Xia, M. Marwan, O.A. Omer
    Year: 2022
    Citations: 6
    Source: Fractal and Fractional, 6(11), 656

  • Montgomery identity and Ostrowski-type inequalities for generalized quantum calculus through convexity and their applications
    Authors: H. Kalsoom, M. Vivas-Cortez, M.Z. Abidin, M. Marwan, Z.A. Khan
    Year: 2022
    Citations: 6
    Source: Symmetry, 14(7), 1449

  • Adaptive observer design for systems with incremental quadratic constraints and nonlinear outputs—application to chaos synchronization
    Authors: L. Moysis, M. Tripathi, M.K. Gupta, M. Marwan, C. Volos
    Year: 2022
    Citations: 6
    Source: Archives of Control Sciences, 32

  • Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization
    Authors: M. Marwan, F. Li, S. Ahmad, N. Wang
    Year: 2025
    Citations: 5
    Source: Nonlinear Dynamics, 113(3), 2377-2390

  • Chaotic behavior of Lorenz-based chemical system under the influence of fractals
    Authors: M. Marwan, A. Xiong, M. Han, R. Khan
    Year: 2024
    Citations: 4
    Source: Match Communications in Mathematical and Computer Chemistry, 91(2), 307-336

  • Control analysis of virotherapy chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, A. Rafiq
    Year: 2022
    Citations: 4
    Source: Journal of Biological Dynamics, 16(1), 585-595

  • Hidden covers (wings) in the fractals of chaotic systems using advanced Julia function
    Authors: M. Marwan, M. Han, M. Osman
    Year: 2023
    Citations: 3
    Source: Fractals, 31(09), 2350125

  • Generalized external synchronization of networks based on clustered pandemic systems—The approach of COVID-19 towards influenza
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 3
    Source: PLOS ONE, 18(10), e0288796

  • Existence of Solution and Self‐Exciting Attractor in the Fractional‐Order Gyrostat Dynamical System
    Authors: M. Marwan, G. Ali, R. Khan
    Year: 2022
    Citations: 3
    Source: Complexity, 2022(1), 3505634

  • On the analytical approach of codimension-three degenerate Bogdanov-Takens (BT) bifurcation in satellite dynamical system
    Authors: M. Marwan, M.Z. Abidin
    Year: 2023
    Citations: 2
    Source: Journal of Nonlinear Modeling and Analysis

  • On the global well-posedness of rotating magnetohydrodynamics equations with fractional dissipation
    Authors: M.Z. Abidin, M. Marwan, H. Kalsoom, O.A. Omer
    Year: 2022
    Citations: 2
    Source: Fractal and Fractional, 6(6), 340

  • Semi-analytical analysis of a fractional-order pandemic dynamical model using non-local operator
    Authors: M. Marwan, G. Ali, F. Li, S.A.O. Abdallah, T. Saidani
    Year: 2025
    Source: Fractals

 

Fernando Tohme | Interdisciplinary Mathematics | Best Researcher Award

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Prof. Fernando Tohme | Interdisciplinary Mathematics | Best Researcher Award

Profesor Titular – Investigador Principal at Universidad Nacional del Sur- Conicet, Argentina

Professor Fernando Abel Tohmé is a distinguished researcher and Full Professor at the Universidad Nacional del Sur, Argentina, and a Principal Researcher at CONICET. With expertise spanning game theory, mathematical economics, optimization, and computational sciences, his interdisciplinary contributions have had a significant impact. He has held prestigious visiting positions at institutions such as UC Berkeley, Washington University in St. Louis, and the University of Luxembourg. As Director of the Ph.D. program in Natural, Mathematical, and Computational Sciences at GCAS College, Dublin, he plays a pivotal role in academic mentorship. His extensive publication record includes books, book chapters, and journal articles in high-impact areas like abductive cognition, economic modeling, and scheduling problems. With international collaborations and a strong research background, Professor Tohmé is a leading figure in applied mathematics and economic theory. His work continues to bridge theoretical advancements with real-world applications, shaping the future of mathematical sciences.

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Education

Professor Fernando Abel Tohmé holds a Licenciado en Matemática (equivalent to a combined BS and MS) from the Universidad Nacional del Sur, earned in 1987. He later pursued a Doctorate in Economics at the same institution, completing his Ph.D. in 1995 under the supervision of Professor Rolf Mantel. His doctoral thesis, titled Meta-Rationality and General Equilibrium, laid the foundation for his interdisciplinary approach, combining mathematical rigor with economic theory. His academic journey reflects a strong mathematical background applied to economic and computational sciences. This solid educational foundation has enabled him to make significant contributions in areas such as game theory, optimization, and modeling. His studies have shaped his research in decision-making processes, mathematical structures in economics, and computational methods, positioning him as a leading scholar in his field. His educational achievements have played a crucial role in his subsequent professional career and research advancements.

Professional Experience

Professor Tohmé has built a distinguished academic and research career, currently serving as a Full Professor at the Universidad Nacional del Sur in Argentina and as a Principal Researcher at CONICET. He has been actively involved in teaching undergraduate and graduate courses on game theory and microeconomic theory since 1993. His international academic engagements include visiting positions at Washington University in St. Louis, UC Berkeley, the British University in Dubai, and the University of Luxembourg. Additionally, he has been an invited professor at institutions in Brazil, Ireland, and the United States. His leadership extends to directing the Ph.D. program in Natural, Mathematical, and Computational Sciences at GCAS College in Dublin. His global professional experience underscores his role as a thought leader, fostering international collaborations in mathematics, economics, and computational sciences. Through his extensive teaching and research career, he has significantly influenced both theoretical advancements and practical applications in his fields of expertise.

Research Interests

Professor Tohmé’s research interests span a wide range of interdisciplinary topics, including game theory, mathematical economics, optimization, computational modeling, and abductive reasoning. He has made notable contributions to decision theory, formal logic, and economic modeling, particularly in the context of general equilibrium and meta-rationality. His work often integrates mathematical structures such as category theory into economic and computational models, pushing the boundaries of traditional analysis. His recent research explores applications of abductive cognition in econometrics and industry optimization, highlighting his ability to bridge theoretical and applied domains. He has also contributed to studies on scheduling problems in Industry 4.0, demonstrating his commitment to real-world problem-solving. His interdisciplinary approach enables him to collaborate with experts in mathematics, computer science, and philosophy, leading to high-impact research publications. Professor Tohmé’s diverse research interests continue to shape advancements in applied mathematics and economic theory, influencing scholars and practitioners alike.

Awards and Honors

Throughout his career, Professor Tohmé has received prestigious recognitions for his scholarly contributions. He was awarded a Fulbright Scholarship in 2003, allowing him to conduct research at UC Berkeley’s Group of Logic and Methodology of Science. His affiliations with esteemed institutions, including CONICET and GCAS College, reflect his academic excellence and leadership in the global research community. He has also been invited as a senior researcher at the Topos Institute in Berkeley and has contributed as an editor for Springer Nature’s award proceedings. His research impact is further recognized through his numerous international collaborations and invitations as a keynote speaker at academic awards. His work has been cited extensively, demonstrating its influence in the fields of mathematics, economics, and computational sciences. These honors highlight his contributions to advancing knowledge and fostering academic exchange across disciplines. His continued recognition underscores his role as a leading figure in mathematical and economic research.

Conclusion

Professor Fernando Tohmé’s career is a testament to his profound impact on mathematics, economics, and computational sciences. With a strong educational foundation, extensive professional experience, and diverse research interests, he has established himself as a global academic leader. His work integrates mathematical theory with economic and computational applications, fostering interdisciplinary advancements. His teaching and mentorship roles have influenced numerous students and researchers, while his international collaborations have expanded the reach of his research contributions. Recognized through prestigious awards and academic honors, he continues to shape the future of economic modeling, decision theory, and applied mathematics. As a researcher with a vision for theoretical innovation and practical applications, Professor Tohmé remains a key figure in his field. His dedication to advancing knowledge and solving complex problems ensures that his work will have a lasting impact on both academia and industry.

Publications Top Noted

 

Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

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Dr. Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

Professor at Siberian Federal University, Russia

Professor Vladimir Kodnyanko, a Doctor of Technical Sciences, serves as a Professor in the Department of Standardization, Metrology, and Quality Management at the Polytechnic Institute of Siberian Federal University. Born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory, he graduated from Krasnoyarsk State University in 1974 with a degree in Mathematics. His career at Krasnoyarsk Polytechnic Institute began in 1974, progressing from junior researcher to full professor by 2002. Professor Kodnyanko earned his Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow, and his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. His research focuses on rapid mathematical modeling and the development of gas-static and hydrostatic bearings, leading to 186 publications, including six monographs, and 39 patents. He has been recognized with multiple honors, such as the honorary title of professor at KSTU in 2001 and an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. In 2015, he joined the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS.

Professional Profile 

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Education

Professor Vladimir Kodnyanko was born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory. He pursued higher education at Krasnoyarsk State University, earning a degree in Mathematics in 1974. His academic journey continued with postgraduate studies, leading to a Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow. Demonstrating his commitment to scientific advancement, he obtained his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. Throughout his educational journey, Professor Kodnyanko developed a strong foundation in mathematical modeling and engineering applications, which later became central to his research. His expertise in applied mathematics and mechanical engineering has greatly contributed to his innovative approaches in the field of gas-static and hydrostatic bearings. His educational achievements laid the groundwork for a distinguished career in academia, research, and technological development, positioning him as a leading expert in standardization, metrology, and quality management.

Professional Experience

Professor Vladimir Kodnyanko’s professional career spans several decades, beginning in 1974 when he joined Krasnoyarsk Polytechnic Institute as a junior researcher. Over the years, he steadily advanced through academic ranks, serving as an assistant, associate professor, and eventually earning the title of full professor in 2002. His expertise and contributions led him to the Polytechnic Institute of Siberian Federal University, where he currently serves as a professor in the Department of Standardization, Metrology, and Quality Management. His career is marked by active participation in academic councils and professional organizations, including his role in the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS. Professor Kodnyanko has also been instrumental in mentoring young researchers, supervising doctoral students, and leading research projects in applied mathematics and engineering. His dedication to academia has significantly influenced the development of precision engineering and mathematical modeling techniques.

Research Interest

Professor Vladimir Kodnyanko’s research focuses on rapid mathematical modeling, with a particular emphasis on gas-static and hydrostatic bearings. His work integrates applied mathematics and engineering principles to enhance the efficiency and performance of high-precision mechanical systems. His studies explore the dynamics of fluid lubrication, optimization of bearing structures, and the application of mathematical models to predict system behavior under various operating conditions. His research has practical applications in aerospace, automotive, and industrial machinery, where high-performance bearings are critical for operational reliability. Professor Kodnyanko has authored 186 scientific publications, including six monographs, and holds 39 patents related to his innovations in mechanical engineering. His pioneering work has contributed significantly to advancing the field of tribology, improving the design and functionality of precision bearings used in various industries. Through his research, he continues to bridge the gap between theoretical mathematics and practical engineering applications.

Awards and Honors

Throughout his distinguished career, Professor Vladimir Kodnyanko has received numerous awards and honors recognizing his contributions to science and engineering. In 2001, he was awarded the honorary title of professor at Krasnoyarsk State Technical University in acknowledgment of his academic and research achievements. His dedication to advancing mathematical modeling and mechanical engineering earned him an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. His contributions to the field of precision engineering and bearing technology have positioned him as a leading expert in his domain. In addition to institutional honors, he has been actively involved in national and international scientific communities, further solidifying his influence in engineering research. His recognition extends beyond academia, as his work has practical industrial applications that have improved the efficiency and reliability of mechanical systems. His awards reflect his lasting impact on science, engineering, and technological innovation.

Conclusion

Professor Vladimir Kodnyanko’s career exemplifies dedication to research, education, and technological advancement. With a strong foundation in mathematics and engineering, he has made groundbreaking contributions to rapid mathematical modeling and the development of gas-static and hydrostatic bearings. His extensive body of work, including 186 scientific publications and 39 patents, showcases his influence in precision engineering. As a professor at the Polytechnic Institute of Siberian Federal University, he continues to shape the next generation of researchers and engineers. His leadership in academic councils, research institutions, and industrial collaborations highlights his commitment to advancing scientific knowledge and engineering applications. Recognized with multiple prestigious awards, he remains a respected authority in his field. Through his research, mentorship, and professional contributions, Professor Kodnyanko has left an indelible mark on applied mathematics and mechanical engineering, inspiring future innovations in the field.

Publications Top Noted

  • Title: Theoretical Study of the Static and Dynamic Characteristics of a Slotted Adaptive Hydrostatic Thrust Bearing with a Regulator of the Lubricant Output Flow
    Authors: V.A. Kodnyanko, A.S. Kurzakov, A.V. Surovtsev, S. Belyakova, L. Gogol
    Year: 2022
    Citations: 1
    Source: Mathematics

  • Title: Theoretical Study on Compliance and Stability of Active Gas-Static Journal Bearing with Output Flow Rate Restriction and Damping Chambers
    Authors: V.A. Kodnyanko, A.S. Kurzakov, O. Grigorieva, A.V. Surovtsev, L.V. Strok
    Year: 2021
    Citations: Not specified
    Source: Lubricants

  • Title: Theoretical Study on Dynamics Quality of Aerostatic Thrust Bearing with External Combined Throttling
    Authors: V.A. Kodnyanko, S.N. Shatokhin
    Year: 2020
    Citations: 21
    Source: FME Transactions 48 (2)

  • Title: Mathematical Modeling on Statics and Dynamics of Aerostatic Thrust Bearing with External Combined Throttling and Elastic Orifice Fluid Flow Regulation
    Authors: V. Kodnyanko, S. Shatokhin, A. Kurzakov, Y. Pikalov
    Year: 2020
    Citations: 16
    Source: Lubricants 8 (5), 57

  • Title: Method for Calculating the Static Characteristics of Radial Hydrostatic Compensator of Machine Tool Bearings Deformation
    Authors: V.A. Kodnyanko
    Year: 2021
    Citations: 4
    Source: Periodica Polytechnica Transportation Engineering 49 (2), 114-119

  • Title: Compliance of Gas-Dynamic Bearing with Elastic Compensator of Movement
    Authors: V.A. Kodnyanko, A.S. Kurzakov
    Year: 2017
    Citations: 3
    Source: Journal of Siberian Federal University. Engineering & Technologies 10 (5), 657

  • Title: Directional Splines for Economic Analytics
    Authors: V. Kodnyanko
    Year: 2020
    Citations: 2
    Source: Economic Computation & Economic Cybernetics Studies & Research 54 (3)

  • Title: On Computational Redundancy of the Dichotomous Search and Conditional Minimization of Unimodal Functions by the Economical Dichotomous Search
    Authors: V.A. Kodnyanko
    Year: 2019
    Citations: 2
    Source: Sistemy i Sredstva Informatiki [Systems and Means of Informatics] 29 (1)

  • Title: Stability of Energy-Saving Adaptive Journal Hydrostatic Bearing with a Restriction of the Output Lubricant Stream
    Authors: V.A. Kodnyanko
    Year: 2012
    Citations: 2
    Source: Engineering & Technologies 4 (6), 674-684

 

B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

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Dr. B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

Professor at T. John Group of Institutions India

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with over 25 years of experience in teaching, research, and administration across India and the UAE. He has made significant contributions to computer science, specializing in machine learning, IoT, cloud security, and semantic web mining. With 25+ publications in SCOPUS and IEEE-indexed journals and presentations at 20+ international awards, his research has garnered global recognition. He actively supervises PhD scholars and has mentored over 100 undergraduate and postgraduate research projects. As a curriculum developer, he has aligned academic programs with national and international standards. He holds key research identifiers, including a Scopus ID and an h-index of 4. His expertise extends to industry collaborations, technical writing, and consultancy services. While enhancing high-impact research and funded projects could further strengthen his profile, his vast academic and research contributions make him a strong contender for the Best Researcher Award.

Professional Profile:

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Education:

Prof. Dr. B. Meenakshi Sundaram holds a Ph.D. in Computer Science from Bharathiar University, Coimbatore (2017), showcasing his expertise in advanced computing research. He earned his M.Tech in Information Technology (2009) from Manonmaniam Sundaranar University, securing First Class with Distinction. His academic journey began with a B.Sc. in Physics with Electronics (1996) and an M.Sc. in Computer Science (1998), both from Madurai Kamaraj University, where he excelled with distinction. Additionally, he pursued an M.Phil in Computer Science (2006) to deepen his research acumen. Beyond formal degrees, he has completed specialized professional certifications, including NPTEL courses from IIT Kharagpur and IIT Madras, as well as industry-relevant training from Infosys, Wipro, and IBM. His diverse educational background, spanning core science, engineering, and computing disciplines, has enabled him to make significant contributions to academia, research, and curriculum development at both national and international levels.

Professional Experience:

Prof. Dr. B. Meenakshi Sundaram has over 25 years of extensive experience in teaching, research, and academic administration across India and the UAE. He has served as a Professor, Associate Professor, Academic Program Manager, and Exam Controller at prestigious institutions, including New Horizon College of Engineering, Karunya University, and Syscoms College, Abu Dhabi. His expertise lies in curriculum development, faculty enrichment, industry-academic collaboration, and research supervision. He has played a key role in designing and aligning Bachelors and Masters programs with national and international accreditation standards. As a researcher, he has supervised PhD scholars, guided 100+ postgraduate and undergraduate research projects, and published 25+ research papers in SCOPUS and IEEE-indexed journals. He has also been actively involved in consultancy services, technical writing, and faculty training programs. With a strong commitment to academic excellence, he continues to contribute to cutting-edge research in computer science, artificial intelligence, and cloud computing.

Research Interest:

Prof. Dr. B. Meenakshi Sundaram’s research interests encompass a wide range of cutting-edge areas in computer science, artificial intelligence, and cybersecurity. His work primarily focuses on semantic web mining, machine learning, IoT, cloud security, and data analytics, addressing critical challenges in intelligent systems and computational frameworks. He has made significant contributions to ontology-based information retrieval, cloud integration, and security frameworks, with an emphasis on developing efficient and scalable solutions for real-world applications. His research also extends to imbalanced data classification, deep learning, and digital innovation in education, exploring novel methodologies to enhance computational intelligence and cybersecurity mechanisms. With a strong commitment to interdisciplinary research, he actively engages in AI-driven enterprise security, intelligent decision-making systems, and web service optimizations, aiming to bridge the gap between academia and industry. His research efforts contribute to advancing smart computing, digital transformation, and next-generation AI technologies.

Award and Honor:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with a remarkable career spanning over 25 years in teaching, research, and administration. His contributions to computer science, particularly in machine learning, IoT, cloud security, and semantic web mining, have earned him recognition in national and international forums. He has published 25+ research papers in reputed SCOPUS and IEEE-indexed journals, presented at 20+ awards, and actively mentors PhD scholars and postgraduate students. As a professional member of IEEE and Institution of Engineers (India), he has contributed to global research collaborations and curriculum development initiatives. He has received certifications from IIT Madras, IIT Kharagpur, and other reputed institutions, further showcasing his dedication to academic excellence. His significant contributions to academia, research supervision, and international collaborations make him a highly deserving candidate for prestigious awards in research and innovation.

Conclusion:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with 25 years of experience in teaching, research, and administration. His extensive contributions to computer science, particularly in semantic web mining, IoT, and cloud security, are reflected in his 25+ publications in reputed journals, including SCOPUS and IEEE-indexed papers. As a mentor, he has guided numerous research scholars and postgraduate students, fostering academic excellence. His involvement in curriculum development, international collaborations, and industry-academia partnerships further solidifies his impact on higher education. While his research credentials are strong, expanding high-impact publications, securing funded projects, and increasing citation metrics can enhance his global research standing. Nevertheless, his academic leadership, interdisciplinary research, and commitment to knowledge dissemination make him a highly deserving candidate for the Best Researcher Award. His dedication to innovation and scholarly excellence continues to shape the future of computing and technology-driven education.

Publications Top Noted:

  • Face recognition based automated remote proctoring platform
    • Authors: N Sasikala, BM Sundaram, VN Kumar, J Sumanth, S Hrithik
    • Year: 2022
    • Citations: 7
  • Survey of latest technologies on Decentralized applications using Blockchain
    • Authors: N Sasikala, BM Sundaram, S Biswas, AS Nikhil, VS Rohith
    • Year: 2022
    • Citations: 6
  • Disaster relief compensation computational framework
    • Authors: BM Sundaram, B Rajalakshmi, BA Singh, RS Kumar, R Arsha
    • Year: 2022
    • Citations: 6
  • More Accurate Organ Recipient Identification Using Survey Informatics of New Age Technologies
    • Authors: BM Sundaram
    • Year: 2021
    • Citations: 6
  • Fall detection among elderly using deep learning
    • Authors: BM Sundaram, B Rajalakshmi, RK Mandal, S Nair, SS Choudhary
    • Year: 2023
    • Citations: 4
  • An Analysis on Security Threats in Cloud Computing
    • Authors: AP Nirmala, R Prema, BM Sundaram
    • Year: 2019
    • Citations: 4
  • A Roadmap to Application Integration using IoT Cloud Platform
    • Authors: DT Dr. BM Sundaram
    • Year: 2020
    • Citations: 3
  • Cross Domain Composition of Web Service Workflows using a Provenance Ontology with an automated Re-planning
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 3
  • Semantic Interoperable EHR mapping with syndromic surveillance to anticipate regional outbreak
    • Authors: BM Sundaram
    • Year: 2020
    • Citations: 2
  • Fuzzy-XDDS: A Fuzzy Based Cross-Domain Services Matchmaker for Semantic Web Services
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 2
  • AirGuard AI: Revolutionizing Air Cargo Inspection through Pygame and YOLOv8 Simulation
    • Authors: BM Sundaram, B Rajalakshmi, A Saxena, B Vasumati
    • Year: 2024
    • Citations: 1
  • Deep learning implemented communication system for the auditory and verbally challenged
    • Authors: B Chempavathy, BM Sundaram, A Shaynam, A Goswami, S Bindya
    • Year: 2023
    • Citations: 1
  • Malware Exposed: An In-Depth Analysis of its Behavior and Threats
    • Authors: C Anand, S Korada, S Raksha, BM Sundaram, B Rajalakshmi
    • Year: 2023
    • Citations: 1
  • Modeling crime prediction using ML
    • Authors: BM Sundaram, B Rajalakshmi, B Anusha, MK Bindu, BL Keerthi
    • Year: 2022
    • Citations: 1
  • Cardiovascular disease detection using machine learning-a survey
    • Authors: BM Sundaram, B Rajalakshmi, Eshwar, Tanith, L Emmanuel
    • Year: 2022
    • Citations: 1
  • A holistic redesign of web elements using CATWOE analysis
    • Authors: R Jayakumar, BM Sundaram, MA Sankaridevi
    • Year: 2019
    • Citations: 1
  • Dual Tree Complex Wavelet based Regularized Deconvolution for Medical Images
    • Authors: R Murugesan, V Thavavel, BM Sundaram
    • Year: 2007
    • Citations: 1
  • Smart City Traffic Management
    • Authors: BM Sundaram, JG Chowdary, R Gonela, B Rajalakshmi
    • Year: 2024
    • Citations: 1
  • Retinal Authentication for E-Voting
    • Authors: LS Hanne, BM Sundaram, M Rakshitha, V Kishore, A Meenakshi
    • Year: 2024
    • Citations: 1
  • DRS-UNET: A Deep Learning Approach for Diabetic Retinopathy Detection and Segmentation from Fundus Images
    • Authors: RS Gound, BM Sundaram, SK BV, PA Azmat, MNU Habib, A Garg
    • Year: 2023
    • Citations: 1