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