Educational Qualification
- B. Tech – Mahatma Gandhi University, Kottayam in 2012
- M. Tech – Mahatma Gandhi University, Kottayam in 2014
- PhD- Cochin University of Science and Technology (Doing)
Current Research Interest
- Artificial Intelligence
- Deep Learning
- Medical Image Analysis
Achievements
- Qualified UGC NET Examination (Computer Science and Applications), June 2025 with 85 Percentile Score
- Qualified UGC NET Examination (Computer Science and Applications), December 2024 with 83 Percentile Score
- Qualified UGC NET Examination (Computer Science and Applications), June 2024 with 85 Percentile Score
- Applied for a Research Fund Proposal, SHRI (Science & Heritage Research Initiative) Under DST as Co-PI on 20/05/2025
List of Publications
- “Level Set Segmentation Method for Automatic Tuberculosis Screening Using Chest Radiographs”, International Journal of Science and Research (IJSR), 3(10), October 2014.
- “Parkinson’s Disease Detection”, International Journal of Innovative Research in Science Engineering and Technology (IJIRSET), 14(6), July 2025.
Conferences/Short Term Courses Attended
- Participated in “Faculty Development Program” on Strategic Approaches and Emerging Trends in Data Science organized by Federal Institute of Science and Technology (FISAT) under AICTE Training and Learning (ATAL) Academy from 10th to 15th February 2025.
- Participated in “Faculty Development Program” on Introduction to Data Science and Machine Learning organized by Providence College of Engineering, Pathanamthitta from 09th to 14th September 2024.
- Participated in “Faculty Development Program” on Generative AI Revolution organized by FISAT from 12th to 19th August 2024.
- Secured ELITE Badge for the NPTEL MOOC on “Python for Data Science” in March 2025.
Projects Guided
- Parkinson’s Disease Detection using Deep Learning
- Malware Detection using Memory Forensic
- Alzhemier’s Disease Detection Using Deep Learning
Professional Experience
- 3 years of teaching experience
