SANTOSH KUMAR SHARMA | Mathematics | Best Researcher Award

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Dr. SANTOSH KUMAR SHARMA | Mathematics | Best Researcher Award

RESEARCHER MAGADH UNIVERSITY BODH GAYA BIHAR India

Dr. Santosh Kumar Sharma is a dedicated researcher in Mathematical Sciences with a specialization in mathematical modeling of epidemics, environmental, and ecological systems. He earned his Ph.D. from Magadh University, Bodh Gaya, in 2024 and has contributed significantly to mathematical research through publications and conference presentations. He is also an active reviewer for multiple international journals and a life member of various mathematical societies.

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Education šŸŽ“

  • Ph.D. (Mathematical Science) ā€“ Magadh University, Bodh Gaya (Awarded: October 23, 2024)
  • M.Sc. (Mathematics) ā€“ Magadh University, Bodh Gaya (2012-2014) ā€“ First Class
  • B.Sc. (Mathematics) ā€“ K.L.S College, Nawada (2009-2012) ā€“ First Class

Experience šŸŒ

Dr. Sharma has extensive experience in research and academia. He has been actively involved in mathematical modeling research and has presented papers at various national and international conferences. Additionally, he has served as a reviewer for reputed journals like PLOS ONE, Springerā€™s Journal of Cluster Computing, and the Journal of Medical Internet Research.

Research Interests šŸ”¬

  • Mathematical Modeling of Epidemics
  • Mathematical Modeling of Social Dynamics
  • Mathematical Modeling of Environmental & Ecological Systems

Awards & Recognition šŸ†

Dr. Sharma has been recognized for his contributions to mathematical research through various awards and nominations. He actively participates in academic conferences and faculty development programs to further his expertise.

Publications Top Notes: šŸ“ƒ

Dynamic Analysis of Nonlinear Stochastic DENGUE Epidemic Model (Accepted, Journal of Applied Nonlinear Dynamics, Vol. 14(3), 2025)

A Compartmental Approach to Modeling Measles Disease: a Fractional-Order Optimal Control Model ā€“ Fractal Fract, Vol. 8, No. 8, p. 88, 2024 | DOI

Hopf bifurcation and optimal control of HCV/HIV co-infection dynamics within human: A theoretical study ā€“ Results in Control and Optimization, 2023 | DOI

Effect of Antiviral Therapy for HCV Treatment in the Presence of Hepatocyte Growth Factor ā€“ Mathematics, Vol. 11(3), 2023 | DOI

An analysis using mathematical modeling to determine the most efficient way to combat the new H1N1 influenza ā€“ (Under Review)

Ke-Lin Du | Artificial Neural Networks | Best Researcher Award

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Prof. Dr. Ke-Lin Du | Artificial Neural Networks | Best Researcher Award

Professor Guangdong University of Science and Technology China

Dr. Ke-Lin Du is a distinguished professor with a career spanning academia and industry. He received his PhD in Electrical Engineering from the Huazhong University of Science and Technology, China, in 1998. Currently, he serves as a professor at the Faculty of Mechanical and Electronic Engineering at Guangdong University of Science and Technology, Dongguan, China, since 2024. His journey includes impactful roles at leading institutions such as Concordia University, Huawei Technologies, and top research centers in Hong Kong. With a commitment to advancing technology, he has contributed significantly to signal processing, wireless communications, and machine learning.

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Education šŸŽ“

  • PhD in Electrical Engineering – Huazhong University of Science and Technology, China (1998)

Experience šŸ’¼

  • Professor | Guangdong University of Science and Technology (2024ā€“Present)
  • Affiliate Professor | Concordia University (2011ā€“2024)
  • Research Staff | Concordia University (2001ā€“2010)
  • Technical & Research Positions | Huawei Technologies, China Academy of Telecommunication Technology, CUHK, HKUST, Enjoyor Inc., Xonlink Inc.

With 20+ years of experience, Dr. Du has significantly contributed to academic teaching, cutting-edge research, and technological innovations in various global institutions.

Research Interests šŸ”¬

Dr. Ke-Lin Duā€™s research focuses on:

  • Signal Processing
  • Wireless Communications
  • Machine Learning

His interdisciplinary expertise bridges theoretical concepts and practical applications, driving advancements in artificial intelligence and communication systems.

Awards and Honors šŸ†

  • Stanfordā€™s Top 2% Most Cited Scientists (2019ā€“2023, 5 consecutive years)
  • Senior Member of IEEE (Since 2009)
  • Recognized for outstanding contributions to academia, research, and leadership in over 115 international conferences.

Publications Top Notes:Ā šŸ“š

Dr. Du is an accomplished author with 5 coauthored books, 13 co-edited books, 60 research papers, and 6 U.S. patents. Some notable publications include:

Neural Networks and Statistical Learning

Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature

Neural Networks in a Softcomputing framework

Clustering: A neural network approach

Wireless communication systems: From RF subsystems to 4G enabling technologies

Using radial basis function networks for function approximation and classification

Particle swarm optimization

Exploiting multiple antennas for spectrum sensing in cognitive radio networks