Admissions 2025 Integrated Programmes

Department of Computer Science

Vivek M. V.

Designation : Assistant Professor

Qualification : M.Sc. Computer Science

Email-ID : vivek@rajagiri.edu

He holds a Master of Computer Science degree and has 4 years of research experience. His teaching areas of interest include Artifi cial intelligence, Machine learning, Big data analytics and Python programming. He is currently pursuing Ph.D. as part-time at Cochin University of Science And Technology.

  • M.Sc. Computer Science from Cochin University of Science And Technology, Kalamassery, 2020
  • B.Sc Computer Science from Sree Sankara Vidyapeetom College, Valayanchirangara 2018
  • Working as Assistant Professor in the Department of Computer Science, Rajagiri College of Social Sciences, Cochin, since June, 2025.
  • Affective Computing
  • Artifi cial Intelligence
  • Machine Learning
  • Big Data Analytics
  • Python
  • Served as a resource person in the four-day workshop on Big Data Analytics and Machine Learning at DDUKK, CUSAT, Kerala. 
  • Served as a resource person in the AICTE Training And Learning (ATAL) Academy FDP on Machine Learning for Interdisciplinary Engineering Applications— Department of Computer Science, CUSAT, Kerala. 
  • Served as a resource person for online sessions in Deep Generative Models Saintgits College of Engineering(Autonomous), Kottayam, Kerala.
  • A distributed ensemble machine learning technique for emotion classifi cation from vocal cues, in the 10th International Conference on Big Data Analytics (BDA2022), Lecture Notes in Computer Science, vol 13773. Springer.
  • Comprehensive Review of Compound Facial Emotion Recognition in Aff ective Computing, in the International Conference on Emerging Trends and Research Frontiers in Artifi cial Intelligence (ETRF 2025), Holy Cross College, Trichy.
  • Distributed Machine Learning Frameworks for Emotion Classifi cation Leveraging Facial Action Coding System Features, ICCC2025, College of Engineering Trivandrum
  • IEEE International Conference on Control, Communication, and Computing 2025, College of Engineering Trivandrum. 
  • International Conference on Emerging Trends and Research Frontiers in Artifi cial Intelligence (ETRF 2025), Holy Cross College, Trichy. 
  • 10th International Conference on Big Data Analytics, IIIT Hyderabad 2022.
  • 5day workshop on Generative AI and LLM, organized by DCS, CUSAT, from 29 July 2024 to 02 August 2024. 
  • Workshop on "Designing Miniature and Wearable IoT & AI Devices", India Electronics Week, by Electronics For You (EFY) group, at ITPL, Banglore, from 31 January 2024 to 02 February 2024. 
  • KSHEC ERUDITE Scholar-in-Residence Programme, DCA, CUSAT, 4-13 January 2024.
  • 2 Day Seminar on Advances in Computational Mathematics, DOM, CUSAT, 21-22 December, 2023. 
  • 2 Day Workshop on ADVANCES IN ROBOTICS: MOBILE ROBOTICS & ROS organized by DOI, CUSAT, 18-19 December 2023. 
  • SERB Karyashala(High-end Workshop) On Human-centered Assistive Robotics and Rehabilitation at IIIT, Kota, Rajasthan from 23-30 January 2023.
  • NPTEL: Affective Computing. 
  • Spark and Python for Big Data and Pyspark. 
  • Complete guide to Build IOT Things from Scratch to Market. 
  • Explainable Al (XAI) with Python. 
  • Fusion 360

Projects Worked on 

  • LegalGPT: Demonstrated the LegalGPT developed in the International GenAI Conclave co hosted by the Government of Kerala and IBM Software Labs on 11th - 12th July 2024 at the Grand Hyatt Kochi, Bolgatty. 
  • Ask MedX: First Aid Chatbot using LLM RAG and IBM watsonx. 
  • Emosense: a mobile application for facial emotion recognition. 
  • Plant Doctor: An Android app for medicinal plant identifi cation based on deep learning. 
  • Demand Forecasting: LSTM model for household product demand forecasting.