DEPARTMENT OF Computer Science and Engineering

Educational Qualification:

• B.Tech – CUSAT (2010)
• M.Tech – Kerala University (2014)
• Ph.D – CUSAT (pursuing)
• UGC NET (December 2022)

Specialisations:

• Computer Vision
• Deep Learning
• Machine Learning
• Image Processing

Current Research Interest:

• Artificial Intelligence
• Generative AI
• Computer Vision – Analysis of Visual entities in performing Arts

Professional Body Membership:

• IEEE
• ACM

Publications:

• “A Proactive Approach to Reversible Data Hiding in Encrypted Images“, International Conference on Information and Communication Technologies – ICICT 2014 (CUSAT, Kochi, India), Procedia Computer Science, Elsevier, Vol.46, pp.1510-1517, 2015.
• “Kathakali Facial Expression Dynamics Understanding and Classification using Fused Vision Transformer and Convolutional Neural Network “, International Conference on Advances in Emerging Computing Technologies 2023 (ICAECT 2023).
• “Real Time Feedback for Perfecting Postures using Kinematic Modelling and Artificial Intelligence”, International Conference on Mathematical Techniques for Machine Learning and Quantum Computing IWCMLQC 2024.

Achievements: 

• Copyright granted for “AI-Powered Non-Verbal Communication Coach for Job Interview Preparation”, from Government of India with Diary Number –7922/2024-CO/SW.
• Final year student project team, under the guidance of Dr.Cerene Mariam Abraham as the principal investigator, has been awarded KTU CERD funding for 2024.
• The final year student project team, with Dr.Cerene as the Co-Principal Investigator, has received KTU CERD funding for the year 2025.

Invited Talks/ Workshops as Resource Person:

• Resource Person: Five day Online Faculty Development Programme on Machine Learning for Polytechnic Faculties – SITTTR Kalamasery
• Resource Person: National Workshop on “Exploring Machine Learning and Deep Learning on December 3-7, 2024 at St, Berchmans College, Changanassery.

• Resource Person: Five day workshop on Deep Learning for Textual & Visual Information Processimg ” organized by Department of Computer Science, CUSAT, during 24-28 April, 2023

• Resource Person: Three-day FDP on “Research Perspectives in GEN AI for Computer Vision” organized by Department of Computer Science & Engineering and Artificial Intelligence & Data Science, on 1st March, 2024
• Resource Person: Five-day workshop on “Recent Trends in Machine Learning”, organized by Department of CSE, Mar Athanasius College of Engineering (MACE) Kothamangalam. 
• Resource Person: Three-day workshop on “Full Stack Machine Learning” organized by DCS, CUSAT held from 04th-06th, April 2024.

• Resource person: Three-day workshop on “Machine Learning and Deep learning” at Department of Computer Science, Vidhya Academy of Science and Technology.

• AI & Data Science Trainer: Aesthetix Edu-Tech, Vennala, Kochi.

Short term courses/Conferences Coordinated/Attended:

• Attended: International Conference on “Mathematical Techniques for Machine Learning and Quantum Computing”, (IWCMLQC 2024), from December 5-7, 2024
• Attended: International Conference on “Advances in Emerging Computing Technologies” (ICAECT 2023), on August 23 & 24, 2023. 
• Attended: International Conference on “Artificial Intelligence & Software Engineering (ICAISE 2023)”, from 15-17 March 2023.
• Attended:  International Conference on “CUSAT -INID School on Medical Images Understanding”, from 27th February to 3rd March 2023.
• Coordinated: Organizing committee member of National Conference on Language Computing (NCLC) – 2018 conducted by Department of Computer Applications, CUSAT.
• Coordinated: Organizing committee member of National Conference on Language Computing (NCLC) – 2017 conducted by Department of Computer Applications, CUSAT.
• Coordinated: Organizing committee member of FDP on Machine Learning conducted by Department of Computer Science, Sacred Heart College
• Coordinated: Committee coordinator, five-day FDP cum workshop on “Generative AI and Large Language Models”, from 29 July, 2024 to 02 August, 2024
• Coordinated: Committee coordinator, Three-day workshop on “Full Stack Machine Learning” organized by DCS, CUSAT held from 04th-06th, April 2024
• Attended: FDP for Guest Faculty, organized by BITS, Work integrated Learning Programmes Division, from September 5 to September 29, 2024 (14 clock hours).
• Attended: Three-Day FDP on “Advancements in AI, from ANN and Deep Learning to NLP with Transformers and LLMs” organized by Department of Electronics and Communication Engineering, KMEA Engineering College, Edathala from 4th July 2024 to 6th July 2024.
• Attended FDP on industry-based Web Application Development held on 29th August,2024, at NEST Electronics Park.
• Attended: Five day workshop on Deep Learning, ML, ANN AI from 22 – 26th May 2023 at Yeldho Mar Baselios College, Kothamangalam.
• Attended: Five day workshop on “Recent Trends in Machine Learning”, organized by Department of CSE, Mar Athanasius College of Engineering (MACE) Kothamangalam. 
• Attended:  5 days Faculty Development Program on Quantum Computing, conducted by the Department of Computer Science and Engineering in collaboration with BMSCE IEEE Student Branch.
• Attended:  two day FDP on” GPU Programming and Distributed Deep Learning with PyTorch: Scaling and Optimization”, organized by Department of Computer Science, CUSAT.

• Attended:  5 days Oracle FDP on Database Design and Programming with SQL conducted at SCMS school of Engineering and Technology.

• Attended:  5-day International Workshop, Cyber Cube -2018, organized by Cyber Intelligence Research Laboratory, Department of Computer Applications, CUSAT.

• Attended: 1 day FDP on Graph theory conducted at Rajagiri College.

• Attended:  2-day FDP on Machine Learning using Python conducted at Sacred Heart College.
• Attended:  1 day workshop on Moodle conducted at Sacred Heart College.
• Attended:  1 day training on OBE conducted at Sacred Heart College.
• Attended:  2 weeks training on COBOL Programming conducted at CDAC
• Attended:  IBM Mainframe training (MVS, JCL, VSAM, DB2, CICS) conducted at CDAC
• Attended: 3 month Mobile Application Development Program conducted by Elevate Learning Lab

Employment History:

• Teaching Experience – 7.5 Years
• Industry – 2.8 years
• Research – 2.5 years