Dr. Gunasekar Tharmalingam | Control Theory | Best Researcher Award

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Dr. Gunasekar Tharmalingam | Control Theory | Best Researcher Award

Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology (Deemed to be University), India.

Dr. S/Lt. Gunasekar T is a distinguished academician and researcher based in Chennai, India. Currently a professor and Head of Student Welfare at Vel Tech University, he has over 16 years of research and teaching experience. He holds a Ph.D. in Differential Equations from Karunya University, Coimbatore, and has also pursued advanced studies in Augmented Reality and Virtual Reality (AR & VR) at IIT Jodhpur. Apart from his academic role, Dr. Gunasekar is deeply involved in various administrative duties such as serving as an Associate NCC Officer and contributing to various national and international academic initiatives.

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Education 🎓

Dr. Gunasekar's educational background is extensive and diverse. He completed his Ph.D. in Differential Equations from Karunya University, Coimbatore, in June 2014, where his dissertation focused on "Existence and Controllability Results for Impulsive Integro-differential Systems with Infinite Delay." He is currently pursuing an M.Tech in AR & VR at IIT Jodhpur. His qualifications include a B.Ed. in Mathematics from Alwin College of Education, an M.Sc. in Mathematics from both R.K.M. Vivekananda College and Tamil University, and an M.Phil. in Functional Analysis from Pachaiyappa’s College, Chennai.

Experience 💼

With 16 years of experience, Dr. Gunasekar has held various academic and administrative positions at esteemed institutions. At Vel Tech University, he serves as a professor, NCC Officer, and Head of Student Welfare. He has been an Associate Professor and Associate NCC Officer at VIT University, Vellore, and has worked at institutions like Kalaignar Karunanidhi Institute of Technology and Arignar Anna Institute of Science and Technology. Dr. Gunasekar is also an active member in university committees and has organized several national and international faculty development programs.

Research Interests 🔬

Differential Equations: Emphasizing functional differential equations, impulsive, stochastic, and fuzzy differential equations.

Control Theory: Application of mathematical techniques to dynamic systems.

Fuzzy Graph Theory: Exploring the application of fuzzy logic to graph theory, including fuzzy graphs and their practical implications.

Cryptography: Applying mathematical models to secure communication.

Mathematical Modeling: Constructing models for real-world applications using mathematical concepts. He is deeply engaged in using fuzzy logic and stochastic methods to solve complex mathematical problems, with a focus on practical applications.

Awards 🏆

Faculty Excellence in Research and Publication Award (SNS Faculty Excellence Award 2024).

Best Teacher Award for multiple academic years, highlighting his exceptional teaching and commitment to student success.

Research Award at VIT University, underscoring his impactful research contributions.

Best Faculty Award for the academic years 2018-2019 and 2019-2020, acknowledging his excellence in both teaching and research.

Best Social Worker Award (2022-2023) from the Nature Science Foundation for his active involvement in social initiatives and community engagement.

Publications Top Notes 📚

HB Tharmalingam Gunasekar,"Application of Laplace Transform to Solve Fractional Integrodifferential Equations", Journal of Mathematics and Computer Science, 33(3), 2024, pp. 225-237.

T. Gunasekar,  "The Mohand Transform Approach to Fractional Integro-Differential Equations", Journal of Computational Analysis and Applications, 33(1), 2024, pp. 358-371.

T. Gunasekar,  "Symmetry Analyses of Epidemiological Model for Monkeypox Virus with Atangana–Baleanu Fractional Derivative"
Symmetry, 15(8), 2023, Article 1605.

FP Samuel, T. Gunasekar, "Controllability Results for Second Order Impulsive Neutral Functional Integrodifferential Inclusions with Infinite Delay", Italian Journal of Pure and Applied Mathematics, 31, 2013, pp. 319-332.

R. Prabakaran, T. Gunasekar, "Advancing Cryptographic Security with Kushare Transform Integration", 2024.

 

 

 

Prof. Wen Jiang | Artificial Intelligence | Best Researcher Award

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Prof. Wen Jiang | Artificial Intelligence | Best Researcher Award

Northwestern Polytechnical University, China.

Prof. Wen Jiang is a distinguished researcher and academic with a Ph.D. from Northwestern Polytechnical University, Xi’an, China (2009). She currently serves as a professor in the School of Electronics and Information at Northwestern Polytechnical University. Her work focuses on cutting-edge areas like information fusion, artificial intelligence, remote sensing image processing, and intelligent algorithm security, making her a leader in her field.

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Education 🎓

Prof. Wen Jiang has an impressive academic background in information systems and engineering. She earned her Ph.D. in Information Systems from Northwestern Polytechnical University, Xi’an, China, in 2009, where her research focused on innovative data systems and intelligent technologies. Prior to that, she completed her Master’s degree in Information Engineering at Information Engineering University, Zhengzhou, China, in 1997, gaining in-depth knowledge of advanced engineering concepts. She began her academic journey with a Bachelor’s degree in Information Engineering from the same university in 1994, building a strong foundation for her pioneering contributions to the field.

Experience 🏫

Prof. Wen Jiang is a Professor at the School of Electronics and Information, Northwestern Polytechnical University, where she has made a significant impact in academia. She is highly regarded for mentoring aspiring researchers and leading innovative projects in advanced technologies. Her leadership and expertise have been instrumental in driving forward research in areas like artificial intelligence, information fusion, and algorithm security..

Research Interests 🔍

Information Fusion:
Integrating data from diverse sources to enable smarter and more efficient decision-making processes, crucial for applications in defense, healthcare, and industry.

Artificial Intelligence:
Advancing machine learning and intelligent systems to solve complex problems and enhance automation across various domains.

Remote Sensing Image Processing:
Developing cutting-edge tools for environmental monitoring, urban planning, disaster management, and mapping applications.

Intelligent Algorithm Security:
Ensuring the robustness, reliability, and safety of AI-driven solutions to address vulnerabilities in critical systems.

Publications Top Notes 📚

A New Data Augmentation Method Based on Mixup and Dempster-Shafer Theory IEEE Transactions on Multimedia, 2024
Contributors: Zhuo Zhang, Hongfei Wang, Jie Geng, Xinyang Deng, Wen Jiang. Link

A Novel Air Target Intention Recognition Method Based on Sample Reweighting and Attention-Bi-GRU IEEE Systems Journal, 2024
Contributors: Yu Zhang, Weichen Ma, Fanghui Huang, Xinyang Deng, Wen Jiang. Link

Causal Intervention and Parameter-Free Reasoning for Few-Shot SAR Target Recognition IEEE Transactions on Circuits and Systems for Video Technology, 2024, Contributors: Jie Geng, Weichen Ma, Wen Jiang. Link

CMSE: Cross-Modal Semantic Enhancement Network for Classification of Hyperspectral and LiDAR Data IEEE Transactions on Geoscience and Remote Sensing, 2024, Contributors: Wenqi Han, Wang Miao, Jie Geng, Wen Jiang. Link

Dual-Path Feature Aware Network for Remote Sensing Image Semantic Segmentation IEEE Transactions on Circuits and Systems for Video Technology, 2024, Contributors: Jie Geng, Shuai Song, Wen Jiang. Link

 

 

 

Subhrangshu Das | Bioinformatics | Best Researcher Award

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🌟Mr. Subhrangshu Das, Bioinformatics, Best Researcher Award🏆

Subhrangshu Das at CSIR-Indian Institute of Chemical Biology, India

Subhrangshu Das is a highly qualified individual with a diverse academic background and extensive experience in both computer science and structural biology/bioinformatics. He holds a B.Tech. in Computer Science & Engineering, an M.E. in Computer Science & Engineering, and is on the verge of completing his Ph.D. in Structural Biology and Bioinformatics. Throughout his career, Das has demonstrated a keen interest in interdisciplinary research, utilizing his expertise in computer science to contribute to the field of biology.

Author Metrics:

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Das has an impressive publication record, with several articles published in reputable scientific journals. His research contributions span topics such as Alzheimer’s disease detection, protein-protein interaction interface prediction, and sub-cellular organelle analysis. He has also presented his work at conferences and workshops, further showcasing his expertise and involvement in the scientific community.

Citations: 115 citations by 110 documents.

Documents: 9 documents authored.

h-index: 6. The h-index is a metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. An h-index of 6 means the author has at least 6 papers that have been cited at least 6 times each.

Education:

Das’s educational journey includes a Bachelor of Technology in Computer Science & Engineering, a Master of Engineering in Computer Science & Engineering, and a pending Ph.D. in Structural Biology and Bioinformatics. His academic achievements demonstrate a strong foundation in both computer science and biological sciences, providing him with a unique skill set for interdisciplinary research.

Research Focus:

Das’s research focuses on the intersection of computer science and biology, particularly in the areas of structural biology and bioinformatics. His work involves the development and application of computational algorithms and techniques for analyzing biological data, with specific emphasis on Alzheimer’s disease detection, protein-protein interaction interface prediction, and sub-cellular organelle analysis.

Professional Journey:

Das has a rich professional journey, starting as a Junior Research Fellow and progressing to the role of Senior Research Fellow before becoming a Research Associate at CSIR – Indian Institute of Chemical Biology. Throughout his career, he has been actively involved in research projects, contributing to advancements in structural biology and bioinformatics.

Honors & Awards:

Das has received several honors and awards for his academic and research achievements. Notable accolades include qualifying in GATE and CSIR NET exams, as well as receiving scholarships during his Master’s and Ph.D. studies. These recognitions underscore his dedication and excellence in both academic and research endeavors.

Publications Noted & Contributions:

Das has made significant contributions to the scientific community through his publications in reputable journals. His research on Alzheimer’s disease detection, protein-protein interaction interface prediction, and sub-cellular organelle analysis has advanced our understanding of these complex biological processes. Additionally, his presentations at conferences and workshops have disseminated valuable insights to the scientific community.

Title: CMT2A‐linked mitochondrial hyperfusion‐driving mutant MFN2 perturbs ER‐mitochondrial associations and Ca2+ homeostasis

  • Authors: R. Das, S. Das, S. Chakrabarti, O. Chakrabarti
  • Journal: Biology of the Cell
  • Volume/Issue: 114 (11)
  • Pages: 309-319
  • Year: 2022
  • Citations: 4

Title: Three Dimensional Face Registration by Pose Orientation and Recognition using PCA

  • Author: S. Das
  • Year: 2014
  • Citations: 1
  • Title: CCADD: An Online Webserver for Alzheimer’s Disease Detection from Brain MRI
  • Authors: P. Panigrahi, S. Das, S. Chakrabarti
  • Journal: Computers in Biology and Medicine
  • Article Number: 108622
  • Year: 2024

Title: SARS-CoV-2: From Genetic Variability to Vaccine Design

  • Authors: Nupur Biswas*, Krishna Kumar, Priyanka Mallick, Subhrangshu Das, Izaz Monir Kamal, Sarpita Bose, Anindita Choudhury, Saikat Chakrabarti
  • Editors: I. Saha, W.H. Chen
  • Publisher: Springer
  • Year: 2022

Title: Structural and Drug Screening Analysis of the Non-structural Proteins of Severe Acute Respiratory Syndrome Coronavirus 2 Virus Extracted From Indian Coronavirus Disease 2019

  • Authors: N. Biswas, K. Kumar, P. Mallick, S. Das, I.M. Kamal, S. Bose, A. Choudhury, …
  • Journal: Frontiers in Genetics
  • Article Number: 171

Research Timeline:

Das’s research timeline spans his academic journey from his Bachelor’s degree to his current role as a Ph.D. candidate. Throughout this timeline, he has been actively engaged in research projects, focusing on various aspects of structural biology and bioinformatics. His progression from a Junior Research Fellow to a Research Associate reflects his growth and expertise in the field.

Collaborations and Projects:

Das has been involved in numerous research projects, collaborating with fellow scientists and researchers to address key challenges in structural biology and bioinformatics. His projects have encompassed diverse topics such as Alzheimer’s disease detection, stroke quantification, protein-protein interaction interface prediction, and sub-cellular organelle analysis. Through these collaborations, Das has contributed to interdisciplinary research efforts and fostered innovation in the field.