Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

Dr.KARTHIKEYAN C, SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES, DEEMED UNIVERSITY, India

Dr. C. Karthikeyan is a distinguished Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, specializing in Artificial Intelligence and Data Science. With over 21 years of teaching experience and 2 years in industry, he has significantly contributed to the academic community. Dr. Karthikeyan holds a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad. He is a prolific researcher, having published 61 papers in reputable journals and secured multiple patents. His commitment to education extends beyond the classroom, as he has taken on leadership roles, including Dean at ISBAT University, Uganda. Passionate about empowering students and enhancing educational quality, Dr. Karthikeyan is dedicated to advancing research and innovation in computer science.

Professional Profile

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Evaluation of Dr. C. Karthikeyan for the Research for Best Researcher Award

Summary of Suitability

Dr. C. Karthikeyan stands out as a highly qualified candidate for the Research for Best Researcher Award due to his extensive academic background and impressive research output. With a Ph.D. in Computer Science and Engineering, he has accumulated over 61 publications in reputed journals, including 15 in SCI and 20 in WoS. His contributions span various areas, particularly in Artificial Intelligence and Data Science, which align with contemporary research trends.

  🎓  Education 

Dr. C. Karthikeyan’s academic journey reflects his commitment to excellence in the field of computer science. He earned his Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2017. Prior to this, he completed his M.E. in Computer Science and Engineering from Vinayaka Missions Research Foundation, Salem, in 2008. His foundational education includes an M.C.A. from the University of Madras, Chennai (2002), and a double major in Physics, earning both an M.Sc. (1997) and a B.Sc. (1995) from the same institution. Dr. Karthikeyan’s diverse educational background equips him with a robust understanding of both theoretical and practical aspects of technology, allowing him to contribute effectively to teaching and research in artificial intelligence and data science.

   🏢  Experience 

Dr. C. Karthikeyan has accumulated over 21 years of teaching experience and 2 years in the industry, making him a seasoned educator and professional. Currently, he serves as a Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, since July 2024. Prior to this, he was a Professor at K.L. University, Vijayawada, from May 2018 to July 2024. His administrative capabilities were showcased during his tenure as Dean at ISBAT University in Uganda, where he led strategic planning and curriculum development. He also held the position of Associate Professor and Head of the Department at Aarupadai Veedu Institute of Technology for 16 years, where he was instrumental in elevating the department’s status and coordinating various academic activities. Additionally, he served as Academics Head at APTECH Computer Education, further enhancing his experience in educational management.

 🏅 Awards and Honors 

Dr. C. Karthikeyan has received numerous awards and recognitions throughout his illustrious career. His research excellence is highlighted by 61 publications in prominent journals, including 15 indexed in SCI and 20 in WoS, showcasing his contributions to artificial intelligence and data science. He has authored two books and contributed chapters to several academic texts, further solidifying his reputation in the field. Dr. Karthikeyan’s innovative spirit is evidenced by his four patents, one of which has been granted, reflecting his commitment to practical applications of research. He is also recognized as a life member of several prestigious professional societies, including IEEE and IACSIT. His proactive involvement in academic committees and continuous professional development exemplifies his dedication to both his field and his students, earning him respect and admiration within the academic community.

Research Focus 

Dr. C. Karthikeyan’s research focus lies primarily in the domains of Artificial Intelligence and Data Science, with a strong emphasis on innovative solutions to real-world problems. His work spans various areas, including machine learning, cognitive computing, and data mining techniques, aimed at enhancing computational efficiency and decision-making processes. He has actively contributed to advancements in automated systems, particularly in healthcare and assistive technologies for visually impaired individuals. Dr. Karthikeyan’s research also investigates the integration of Internet of Things (IoT) with AI to develop smart applications that improve user experiences. His interdisciplinary approach allows him to collaborate with experts in different fields, fostering an environment of innovation and knowledge exchange. Through his research endeavors, he aims to contribute to sustainable development, particularly in renewable energy and smart technology applications, aligning with global efforts towards a more sustainable future.

Publications Top Notes 

Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images
  • Citations: 154
Improved wild horse optimizer with deep learning enabled battery management system for internet of things based hybrid electric vehicles
  • Citations: 56
Active vibration control of a full scale aircraft wing using a reconfigurable controller
  • Citations: 41
Taylor‐AMS features and deep convolutional neural network for converting nonaudible murmur to normal speech
  • Citations: 39
Low rate DDoS mitigation using real-time multi threshold traffic monitoring system
  • Citations: 37

 

Mr Anandarup Roy | Internet of Things | Best Researcher Award

Mr Anandarup Roy| Internet of Things | Best Researcher Award

Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India

Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.

Skills

Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

  • Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
    Year: 2018
    Journal: Neurocomputing
    Volume/Pages: 286, 179-192
  • SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
    Year: 2009
    Journal: International Journal on Document Analysis and Recognition (IJDAR)
    Volume/Pages: 12, 97-108
  • Lecithin and Venom Haemolysis
    Year: 1945
    Journal: Nature
    Volume/Pages: 155 (3945), 696-697
  • A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
    Year: 2005
    Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
    Pages: 30-30
  • JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
    Year: 2017
    Journal: Pattern Recognition
    Volume/Pages: 66, 160-173
  • An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
    Year: 2018
    Journal: Information Sciences
    Volume/Pages: 441, 133-151
  • Pair-Copula Based Mixture Models and Their Application in Clustering
    Year: 2014
    Journal: Pattern Recognition
    Volume/Pages: 47 (4), 1689-1697
  • Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
    Year: 2005
    Journal: Proceedings of the 1st IAPR TC3 NNLDAR
  • SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circular–Linear Data
    Year: 2016
    Journal: Pattern Analysis and Applications
    Volume/Pages: 19, 631-645
  • Headline Based Text Extraction from Outdoor Images
    Year: Not specified (conference paper)
    Journal: Pattern Recognition and Machine Intelligence: 4th International Conference

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Dr. Rituraj Patwal, Women Institute of Technology, India

Dr. Rituraj Singh Patwal, born on December 13, 1990, in Haldwani, Uttarakhand, India, is a specialist in Power System Optimization and Renewable Energy Systems. He holds a Ph.D. in Power System Optimization from Thapar Institute of Engineering and Technology, Patiala, where his thesis focused on “Optimal Generation Scheduling of Pumped Storage Hydrothermal Systems with Solar and Wind Energy Sources.” He also completed his M.Tech. in Power Systems from Thapar University and earned his B.Tech. in Electrical Engineering from Dehradun Institute of Technology. Dr. Patwal’s research interests include sustainable energy systems, optimization algorithms, generation scheduling, and renewable energy sources. He has over 9 months of experience as an Assistant Professor at GRD-IMT Dehradun, and has held similar roles at institutions like Meerut Institute of Technology and Thapar Institute of Engineering and Technology. His teaching portfolio includes subjects such as Basic Electrical Engineering, Network Analysis and Synthesis, and Industrial Internet of Things.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Rituraj Singh Patwal is highly suitable for the “Best Researcher Award” in his field based on his robust academic and research credentials. His work in Power System Optimization and Renewable Energy Systems highlights his expertise in areas critical to the energy sector, such as sustainable energy systems, optimization algorithms, generation scheduling, and the integration of renewable energy sources like solar and wind.

Education:

  1. Ph.D. in Power System Optimization
    • Institution: Thapar University
    • Year: 2021
    • Thesis Title: “Optimal Generation Scheduling of Pumped Storage Hydrothermal System with Solar and Wind Energy Sources”
    • Percentage (Course Work): 83%
  2. M.Tech. in Power System
    • Institution: Thapar University
    • Year: 2016
    • Percentage: 76%
  3. B.Tech. in Electrical Engineering
    • Institution: Dehradun Institute of Technology
    • Year: 2012
    • Percentage: 72%
  4. Intermediate (Science)
    • Board: CBSE
    • Year: 2008
    • Percentage: 83%
  5. High School (Science)
    • Board: CBSE
    • Year: 2006
    • Percentage: 86.2%

Work Experience:

  1. Assistant Professor
    • Institution: GRD-IMT, Dehradun
    • Duration: August 2024 – Present (9 months)
  2. Assistant Professor
    • Institution: Meerut Institute of Technology
    • Duration: November 2022 – July 2023 (8 months)
  3. Assistant Professor
    • Institution: Meerut Institute of Engineering and Technology
    • Duration: March 2021 – October 2022 (1 year 8 months)
  4. Lecturer (NT)
    • Institution: Thapar Institute of Engineering and Technology, Patiala
    • Duration: January 2018 – December 2020 (3 years)
  5. Shift Engineer
    • Company: Birla Tyres
    • Duration: July 2012 – April 2013 (10 months)

Publication top Notes:

 

Optimal generation scheduling of pumped storage hydro-thermal system with wind energy sources

Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach

Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units

Optimal Economic Emission Scheduling of Integrated Energy Systems Using Heuristic Optimization Technique

A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units

Heuristic optimization technique for hydrothermal scheduling considering pumped storage unit