Nagaraj V-Dharwadkar-Applications of Computer Vision-Best Researcher Award
Central University-India
Author Profile
Early Academic Pursuits
Dr. Nagaraj V. Dharwadkar embarked on his academic journey in Computer Science and Engineering, earning a Bachelor's degree from Karnataka University, Dharwad, in 2000. He continued his pursuit of knowledge by completing his Master's in Computer Science & Engineering from Visvesvaraya Technological University, Belgaum, in 2006. Driven by a passion for research, he obtained a Ph.D. in Computer Science & Engineering from the prestigious National Institute of Technology, Warangal, in 2014. His doctoral thesis focused on "A Study on Digital Image Steganography and Watermarking Schemes."
Professional Endeavors
Dr. Dharwadkar's professional journey spans over 23 years, primarily in academia. He commenced his career as a Lecturer at B.L.D.E.A's College of Engineering & Technology, Bijapur, in 2001 and progressively moved through various academic ranks, ultimately becoming the Professor and Head of the Department in Computer Science and Engineering at Rajarambapu Institute of Technology, Islampur, Maharashtra.
Throughout his career, he has demonstrated excellence in teaching and research. Dr. Dharwadkar has guided numerous M.Tech. and Ph.D. students, contributing significantly to their academic and research accomplishments. His leadership roles include serving as the Head of the Department at multiple institutions and participating in various academic committees and workshops.
Contributions and Research Focus
Dr. Dharwadkar's research interests encompass a broad spectrum of topics within Computer Science and Engineering, with a particular focus on Digital Image Steganography, Watermarking Schemes, and Precision Agriculture using Machine Learning Algorithms. His extensive involvement in guiding M.Tech. and Ph.D. students attests to his commitment to fostering research and innovation.
He has actively contributed to the academic community through memberships in professional societies, such as ACM, IACSIT, IET, CSI, ISTE, and NCSSS. His proficiency in programming languages, modeling software, and simulation software, coupled with the creation of advanced laboratory facilities, showcases his dedication to providing a rich learning environment for students.
Accolades and Recognition
Dr. Dharwadkar's contributions have been recognized through various accolades and achievements. Notably, he received the Best HoD of the Year 2019 from the Computer Society of India (CSI) Mumbai Chapter. His involvement in organizing conferences, workshops, and serving as a technical program committee member for international conferences underscores his standing in the academic community.
In 2020, he was honored with the Best Researcher Award in the Department of Computer Science and Engineering from the ISTE students/faculty RIT chapter.
Impact and Influence
Dr. Dharwadkar's impact extends beyond traditional academia, as evidenced by his role as a Technical Consultant for Mobirey Technologies Pvt Ltd and a Remote Visiting Scholar at Nottingham Trent University. His multifaceted contributions reflect a commitment to bridging academia with industry and international collaboration.
Legacy and Future Contributions
As a seasoned academician and researcher, Dr. Nagaraj V. Dharwadkar's legacy is marked by his significant contributions to education, research, and industry collaboration. His role as a mentor, guide, and coordinator has influenced the academic and professional trajectories of many students. Looking forward, he continues to inspire through his dedication to advancing knowledge and fostering innovation in the field of Computer Science and Engineering.
Notable Publication
- Enhanced rendering-based approach for improved quality of instance segmentation in detecting green gram, Vigna Rediata, pods
- A Medical Image Steganography Scheme with High Embedding Capacity to Solve Falling-Off Boundary Problem Using Pixel Value Difference Method
- Crop yield prediction using deep learning algorithm based on CNN-LSTM with Attention Layer and Skip Connection
- Deep learning and computer vision for leaf miner infestation severity detection on muskmelon, Cucumis melo, leaves
- Design and Implementation of Land Area Calculation for Maps Using Mask Region Based Convolutional Neural Networks Deep Neural Network