Associate Professor at Jerusalem College of Engineering, India
Dr. D. Sudhagar is an accomplished academician and researcher with over 22 years of experience in the field of Computer Science and Engineering. Currently serving as an Associate Professor at Jerusalem College of Engineering, Chennai, he specializes in Big Data Analytics, Data Mining, and Data Science. Dr. Sudhagar holds a Ph.D. in Information and Communication Engineering from Anna University and has published over 15 research articles in reputed national and international journals, along with several conference papers. He is also a recognized innovator with five published patents and two authored textbooks. His contributions span across education, research, curriculum development, and technical mentoring. A committed educator, he has taught a wide range of advanced computing subjects and lab courses. Actively involved in institutional development, he has held multiple administrative and academic roles. Dr. Sudhagar’s consistent academic performance, leadership qualities, and multidisciplinary research make him a strong candidate for national and international recognition.
Professional Profile
Education🎓
Dr. D. Sudhagar possesses a rich and multi-layered academic background rooted in Computer Science. He earned his Ph.D. in Information and Communication Engineering from Anna University, Chennai, completing it in 2023. He holds an M.E. in Computer Science and Engineering from Anna University with first-class distinction, showcasing his early commitment to academic excellence. Prior to that, he completed an M.Phil. in Computer Science from Annamalai University and a Master of Computer Applications (MCA) from the University of Madras, also with distinction. His foundational academic journey began with a B.Sc. in Computer Science, also from the University of Madras, where he graduated with first-class honors. His educational progression—from undergraduate to doctoral levels—demonstrates a continuous and focused pursuit of knowledge in computing, data systems, and emerging technologies. These qualifications have provided him with both the theoretical foundation and practical insight needed to excel in research, teaching, and technological innovation.
Professional Experience📝
Dr. D. Sudhagar brings more than two decades of academic and teaching experience in Computer Science, having served in various positions since 2002. He is currently an Associate Professor at Jerusalem College of Engineering, a role he has held since 2015, where he contributes to both teaching and departmental leadership. Prior to this, he served as an Assistant Professor at Arunai Engineering College for over a decade and began his career as a Teaching Faculty at Government Arts College. Throughout his career, Dr. Sudhagar has taught numerous undergraduate and postgraduate courses in cutting-edge areas such as Cyber Security, Big Data, Web Technologies, and Artificial Intelligence. He has also handled various lab courses and mentored numerous student projects. In addition to teaching, he has held significant administrative responsibilities, including NBA/NACC coordinator, academic advisor, symposium organizer, and department in-charge. His professional journey reflects a strong balance of pedagogy, leadership, and technical excellence.
Research Interest🔎
Dr. D. Sudhagar’s research interests lie at the intersection of Big Data Analytics, Data Mining, Data Science, and Artificial Intelligence. His recent works demonstrate a commitment to applying machine learning and deep learning to real-world problems such as medical imaging, smart city systems, IoT-based healthcare, and cybersecurity. Notable research areas include the use of hybrid deep learning models for disease classification, optimization techniques for IoT and smart grid solutions, and advanced clustering methods for high-dimensional data analysis. He has also explored novel applications in paraphrase generation, facial recognition for automation, and secure data deduplication using blockchain. Dr. Sudhagar’s approach is interdisciplinary, blending AI, IoT, and cloud computing to create scalable, intelligent systems. His publications in journals such as Concurrency and Computation and Journal of Intelligent & Fuzzy Systems underscore his expertise in algorithm development, model optimization, and intelligent automation. His forward-looking research continues to address socially relevant technological challenges.
Award and Honor🏆
Dr. D. Sudhagar has received multiple recognitions for his dedication to teaching, research, and academic service. He was awarded the “Best Teacher” honor twice, in the academic years 2017–2018 and 2021–2022, recognizing his overall academic performance and student engagement. He was also named a “Top Performing Mentor” by NPTEL in 2022 for the course “Online Privacy.” In addition, he received accolades for producing 100% pass results in Anna University examinations across multiple years and was consistently appreciated for excellence in academic coordination and conference organization. As a student, he earned the prestigious “Nayudamma Award” and a cash prize for being the best outgoing student during his MCA program. His professional memberships in CSI and IAENG further acknowledge his active participation in global computing communities. Collectively, these awards reflect his consistent excellence, innovative teaching methods, and commitment to student success and academic advancement.
Research Skill🔬
Dr. D. Sudhagar demonstrates a robust set of research skills, especially in the domains of data science, machine learning, and intelligent systems. He is proficient in designing and implementing deep learning models, optimization algorithms, and high-dimensional data analysis methods. His research often involves hybrid AI models, transfer learning, clustering techniques, and feature optimization. He exhibits strong competence in software tools such as Python, TensorFlow, and MATLAB, alongside data platforms like Hadoop and AWS. Dr. Sudhagar’s research also incorporates IoT, cloud computing, and blockchain to build real-time and secure applications. He has published impactful studies on AI-driven medical diagnostics, smart infrastructure, and NLP tools, showcasing his interdisciplinary expertise. His roles as a journal reviewer, editorial board member, and conference presenter further reflect his analytical thinking, peer review capabilities, and academic writing proficiency. His ability to bridge theory with application makes him an asset to the research community.
Conclusion💡
Dr. D. Sudhagar is highly suitable for the Best Researcher Award based on his strong academic experience, solid research output, impactful innovations (patents), and contribution to education and institutional development. His consistent publication record, interdisciplinary innovations, and long-standing commitment to teaching and research make him a commendable candidate.
Publications Top Noted✍
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Title: Recent Advancement in Prediction and Analyzation of Brain Tumour using the Artificial Intelligence Method
Authors: RGV Balasubramani Ramesh, Sudhagar Dhandapani, Sanda Sri Harsha, Naheem
Year: 2023
Cited by: 7
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Title: An IoT and Fuzzy aware e-Healthcare system using feature optimization tuned T-CNN with high dimensional data
Authors: D. Sudhagar, J. Arokia Renjit
Year: 2023
Cited by: 2
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Title: Revolutionizing Data Transmission Efficiency in IoT-Enabled Smart Cities: A Novel Optimization-Centric Approach
Authors: RGV Sudhagar D, Swapna Saturi, Mukesh Choudhary, Pranav Senthilkumaran, Eric
Year: 2024
Cited by: 1
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Title: Poor and rich dolphin optimization algorithm with modified deep fuzzy clustering for COVID‐19 patient analysis
Authors: S. Dhandapani, A.R. Jerald Rodriguez
Year: 2023
Cited by: 1
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Title: Transfer Learning With Adam Gold Rush Optimization for Endometrial Disease Classification Using Histopathological Image
Authors: SKB Sudhagar Dhandapani, Ravikumar Subburam, Pretty Diana Cyril Cyriloose
Year: 2025
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Title: AI-Driven Platform for Missing Person Identification
Authors: AV Sudhagar D, Harini Senthil
Year: 2025
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Title: Pneumonia Detection using Deep Learning
Authors: RLG Sudhagar D, Kanmani Sekar
Year: 2025
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Title: Glaucoma Detection using Hybrid Deep Learning
Authors: KSM Sudhagar D, Jaladhija S
Year: 2025
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Title: An Automated Water Tank Management System using IOT
Authors: AA Sudhagar D, Aswath Narayana. P.V.
Year: 2025
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Title: Individuality Traits Projection By Tweets via Myers Briggs Type Indicator using Machine Learning
Authors: S.D. Ajay.R, Ajith Kumar.C, Deepa Shri.V.U
Year: 2023