Mrs. Kohila R | Computer Science | Best Scholar Award

Muthayammal Engineering College | India

R. Kohila is a dedicated academician and researcher with strong expertise in deep learning, artificial intelligence, IoT-based systems, and advanced computing technologies. Her work spans innovative research, impactful publications, and contributions to emerging domains that integrate AI with real-world applications. She has presented her research at several reputed international conferences, covering domains such as energy-efficient wireless sensor networks, industrial IoT analytics, VoIP forensics, and AI-powered crop disease detection using edge devices and YOLOv5 classification. These works reflect her commitment to solving practical challenges through intelligent and scalable technological solutions. Kohila’s inventive mindset is evident in her portfolio of published patents, which include autonomous assistive devices for senior citizens, blockchain-based healthcare systems, AI-driven precision farming solutions, and cloud-based recovery forecasting models for post-surgery rehabilitation. She has also authored books on Cyber Forensics (2022), Deep Learning (2023), and Artificial Intelligence (2024), strengthening her role as a contributor to academic learning resources. Her professional development is enhanced by numerous certifications, including NPTEL, NITTT technical modules, full stack development, DevOps, and advanced research methodology. She has actively participated in specialized Faculty Development Programs on Microsoft Azure AI, IoT applications, cloud infrastructure, generative AI, deep learning, and AWS-based web solutions. Kohila’s excellence has been recognized through prestigious honors such as the University First Rank and Gold Medal from Periyar University, the Women Academic Achiever Award, Unity Champions Excellence Award, and multiple accolades for mentoring and academic performance. Driven by passion, innovation, and academic leadership, she continues to contribute meaningfully to the fields of AI, deep learning, and smart technologies.

Featured Publications

1. Jovith, A. A., Ranganathan, C. S., Priya, S., Vijayakumar, R., Kohila, R., & Prakash, S. (2024). Industrial IoT sensor networks and cloud analytics for monitoring equipment insights and operational data. In Proceedings of the 10th International Conference on Communication and Signal Processing (ICCSP 2024).

2. Kohila, R. (2014). Efficient resource management mechanism with fault tolerant model for computational grids.
International Journal of Computer Applications Technology and Research, 3(12), 1–X.

3. Yeluripati Bala Tripura Sundari, K. N. V., Kohila, R., Sowmiya, M., Nagarjuna. (2025). Crop disease detection using edge IoT devices and YOLOv5-based classification. In Proceedings of the 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS 2025).

4. Hemavathi, S., Ganesan, J., Geetha, G., Kumar, K., & Kohila, R. (2023). Energy proficient and dependable cluster routing in wireless sensor network. In Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics.

5. Kohila, R., Mohanasabari, M. M., Boopathi, K., & Dharunraj, A. (2022). Big data analytics in cyber security.
Journal of Engineering Technologies and Innovative Research, 9(12), 4–X.

Dr. SRINIVASA NAVEEN KUMAR G | Data Science | Best Researcher Award

Dr. Srinivasa Naveen Kumar G is an Associate Professor and Dean of Data Science at Malla Reddy University, Hyderabad. He has over 16 years of teaching experience and a Ph.D. from Lincoln University College, Malaysia, specializing in Image and Video Processing. An accomplished academic leader, Dr. Kumar has organized numerous workshops, hackathons, and international conferences, contributing significantly to the fields of Data Science, Machine Learning, and Computer Vision. As an active member of professional bodies like IEEE and CSI, he is committed to academic excellence and innovation. His passion for research is evident in his numerous Scopus-indexed publications and workshops designed to bridge the gap between theoretical and practical knowledge.

Professional Profile

orcid

google scholar

Summary of Suitability for the Award

Dr. Srinivasa Naveen Kumar G is a distinguished academic professional with a robust background in teaching and research, making him a strong candidate for the “Research for Best Researcher Award.” With over 16 years of teaching experience and a noteworthy academic journey, culminating in a Ph.D. from Lincoln University College, Malaysia, his expertise in Image and Video Processing, Data Science, Machine Learning, and Computer Vision stands out. Serving as an Associate Professor and Dean of the Data Science Department at Malla Reddy University, Hyderabad, Dr. Kumar has demonstrated a strong commitment to education and research.

Education

Dr. Kumar completed his Ph.D. in 2020 from Lincoln University College, Malaysia, where he focused on Image and Video Processing. He earned his M.Tech in Digital Electronics and Communication Systems from JNTU, Hyderabad, in 2008, and his B.Tech in Electronics & Communication Engineering from JNTUK, Kakinada, in 2006. His academic journey is marked by a dedication to understanding complex systems, with a strong emphasis on digital communication and electronics. Throughout his studies, he demonstrated exceptional skills in applying theoretical knowledge to real-world challenges, laying a strong foundation for his research and teaching career. His academic background has equipped him with expertise in Data Science, Machine Learning, and related fields.

Professional Experience

With over 16 years of teaching experience, Dr. Kumar currently serves as Associate Professor and Dean of Data Science at Malla Reddy University, Hyderabad, a role he has held since July 2021. Before that, he worked as an Associate Professor at Malla Reddy College of Engineering & Technology, Secunderabad, from 2008 to 2021. His extensive experience includes teaching both undergraduate and postgraduate courses, such as Python Programming, Image & Video Processing, and Data Analytics. He has a keen interest in research areas like Image and Video Processing, Machine Learning, and Computer Vision. Dr. Kumar is a leader in organizing academic events, workshops, and conferences, fostering a culture of continuous learning and innovation among students and faculty.

Awards and Recognition

Dr. Kumar has been recognized for his academic leadership and contributions to Data Science and Engineering. His accolades include organizing high-profile international conferences like the Scopus-indexed Springer ICISSC series and leading national-level student technical fests such as “Technosplurge.” He is a sought-after organizer, having successfully coordinated events like Salesforce Development workshops and 24-hour hackathons. His work in bridging academic research with industry practices has gained widespread acclaim. Dr. Kumar is also an esteemed member of IEEE and CSI, reflecting his commitment to professional excellence and continuous learning. His contributions have elevated his institution’s profile in the global academic community.

Research Skills

Dr. Kumar is proficient in Data Science, Machine Learning, Computer Vision, and Image & Video Processing. He has developed expertise in Python, Java, and various data analytics tools, applying his skills to solve complex problems in digital communication and systems design. His research focuses on innovative solutions for real-time data analysis and intelligent system development. As an organizer of Scopus-indexed conferences, he stays updated with cutting-edge research trends, ensuring his work is relevant and impactful. His skills extend to coding theory, digital system design, and programming, making him a versatile researcher and educator dedicated to advancing the field of Data Science.

Publication Top Notes

Title: Video shot boundary detection and key frame extraction for video retrieval
Cited by: 18
Title: Detection of Shot Boundaries and Extraction of Key Frames for Video Retrieval
Cited by: 17*
Title: Key frame extraction using rough set theory for video retrieval
Cited by: 16
Title: High-performance video retrieval based on spatio-temporal features
Cited by: 15
Title: Yoga pose recognition with real-time correction using deep learning
Cited by: 10