Prof. Sunil J

Assistant Professor

 

Prof. Sunil J is an Assistant Professor in the Department of Computer Science & Medical Engineering at Dayananda Sagar University, Bengaluru. He holds a Master of Technology (M.Tech) in Computer Science & Engineering with specialization in Computer Science & Engineering and a Bachelor of Technology (B.Tech.) in Computer Science & Engineering. His academic journey reflects a strong inclination toward data-driven technologies and interdisciplinary applications of computer science in healthcare and medical engineering.

His primary academic and research interests lie in medical data analytics, artificial intelligence, machine learning, and big data engineering. He is particularly interested in applying machine learning, deep learning, and natural language processing techniques to analyze large-scale healthcare and biomedical datasets. His work also explores modern database technologies, including graph databases, for efficient modeling and analysis of complex relationships in data.

Prof. Sunil J is actively involved in undergraduate teaching and is committed to fostering strong conceptual understanding, analytical thinking, and practical problem-solving skills among students. His teaching approach emphasizes clarity of fundamentals, hands-on learning, and the integration of real-world use cases into classroom instruction. He continuously updates his technical expertise to stay aligned with emerging trends in artificial intelligence, data science, and healthcare computing, with the goal of contributing to impactful teaching, research, and academic development.

Education & Qualifications

• M.Tech in Computer Science & Engineering (CSE), 2019
• B. Tech in Computer Science & Engineering, 2016

Areas of Expertise / Research Interests

Medical data analytics, artificial intelligence, machine learning, deep learning, natural language processing, big data engineering, database systems, graph databases, and cloud-based analytics platforms.

Teaching

Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing, Data Structures and Algorithms, Database Management Systems, Python Programming, and Deep Learning. The teaching philosophy emphasizes conceptual clarity, continuous assessment, and practical, application-oriented learning.

Publications & Presentations

• Published a patent AI-Powered IoT-Based Predictive Analytics for Personalized Medicine and Disease Diagnosis application date: 202441071566 published on 04-10-2024
• Published a paper on Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario. International Journal of Computational Learning & Intelligence, 4(4), 877–893. https://doi.org/10.5281/zenodo.17376640
• Published a SCI paper on Improved Cardiovascular Disease Detection using Convolution Bayesian Filter and Deep Dendrite Artificial Neural Network Optimized by Hiking Optimization Algorithm, manuscript no: BSPC-D-25-06435 on June 2024.
• Published a paper on Scopus indexed Detection Of Cardiovascular Diseases Utilizing Machine Learning-Based Predictive Models trn:oid:::3618:117169606
• Published a paper on International Journal of Computational Learning & Intelligence – Towards zero road fatalities: Automated Road Accident Detection using Deep Learning and Transfer Learning with Synthetic data DOI:10.5281/zenodo.15641103.
• Published a paper on International Journal of Scientific Research & Engineering Trends on Predtictive Modeling of Stock Market Prices using Machine Learning web App No. Volume11,Issue 2, Mar-Apr-2025, ISSN(Online):2395-566X

Professional Experience

• Trainer Cum Developer – APSSDC, Vijayawada (Aug 2016 – May 2017)
• Technical Skill Trainer – APSSDC, Vijayawada (June 2019 – May 2022)
• SAP ABAP Technical Consultant – Tata Consultancy Services, Hyderabad (Feb 2022 – Nov 2022)
• Assistant Professor – KSRM College of Engineering (Dec 2022 – Jun 2023)
• Assistant Professor – Sai Rajeswari Institute of Technology (July 2023 – Feb 2026)
• Assistant Professor – Dayananda Sagar University (Mar 2026 – Till Date)