Ms. Hansa J Thattil completed her B.Tech in Computer Science and Engineering from College of Engineering, Vadakara (2006). She completed her ME in Computer Science and Engineering from Sri Krishna College of Engineering and Technology, Coimbatore in 2008 . She started her career as lecturer in Sahrdaya College of Engineering and Technology. She joined Federal Institute of Science and Technology, Angamaly on 19 DEC 2008 and is currently working as Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering. She has a teaching experience of more than 15 years. She is staff in charge of Fisat Consultancy Services(FCS).She is currently going research under KTU.
Area of interest
Data Mining, Machine Learning, Data Structures
| Degree |
Specialization |
university |
Year |
| Btech |
Computer Science and Engineering |
CUSAT |
2006 |
| ME |
Computer Science and Engineering |
Anna niversity |
2008 |
| Ph.D |
MAchine Learning in Bioinformatics |
KTU |
Doing |
| Assistant Professor(Senior Grade) |
FISAT |
Nov 2023 to till date |
| Assistant Professor(Special Grade) |
FISAT |
15 Dec 2015 – Oct 2023 |
| Assistant Professor |
FISAT |
Sep 2011-Dec 2015 |
| Lecturer |
FISAT |
Dec 19 2008- Aug 2011 |
| Lecturer |
Sahrdaya College of Engineering and Technology |
MayĀ 2008-DecĀ 2008 |
- Successfully Completed NPTEL online certification on Deep Learning – Part 1
- Successfully completed NPTEL online certification onĀ Data Mining.
- Successfully completed NPTEL online certification on Ā Machine Learning.
- Certified A-VIEW User.
Department website representative
Finance Chair- International conference on advanced computing and communication technologies -Jan 2020.
Staff in charge for Fisat Consultancy Services.
BTech admission cell member inĀ 2020
Member of Department Quality Assurance Cell
Member of Program Assessment Committee
Convener for 2nd International conference on advanced computing and communication technologies.
Indian Society for Technical Education (ISTE) ā Life Member
- Thattil, Hansa J., M. N. Arunkumar, and Francis Antony. “Enhanced Alzheimerās Disease Prediction through Integration of Protein-Protein Interaction Data and Meta-Learning.” IEEE Access (2025).
- Reshma, S., & Thattil, H. J. (2014). Inpainting of Binary Images Using the Cahn-Hilliard Equation. International Journal of Science, Engineering and Computer Technology, 4(11), 296.
- Reshma, S., & IIHansa, J. T. (2014). Graph cuts and active contours for texture aware image segmentation. International Journal of Advanced Research in Computer Science & Technology, 2(2), 176-180.
Conference
- Thattil, Hansa J., and Arun Kumar. “A Comparative Analysis of Machine Learning Models on Graph Embeddings for Disease-Protein Association.” 2025 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA). IEEE, 2025.
- Thattil, Hansa J., and Arun Kumar. “Comparative Evaluation of Different Graph Models for Protein Disease Association Prediction.” 2025 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT). IEEE, 2025.
- Presented a paper titled āHybrid analysis & modeling of financial time seriesāĀ in National Research Conference on challenges and innovations in IT at Kongu Engineering College
- Faculty Development Program on Strategic Approaches and Emerging Trends in Data Science at FEDERAL INSTITUTE OF SCIENCE AND TECHNOLOGY (FISAT) from 10/02/2025 to 15/02/2025.
- FDP on AI-Powered Security, ML with Python & Network-on-Chip from 19 th May to 24 th May 2025 conducted by MAE Engineering College
Six Day online Faculty Development Program on AI Driven Learning Management Systems conducted by MBITS Kothamangalam from 21 july to 26 July 2025.
- Five Days Faculty Development Program on PROMPT ENGINEERING from 21 Dec to 25 Dec 2024 organised by Department of Computer Science , Nobels Womenās College.
- FDP on āCurrent Trends of Natural Language Processing and Deep Learning in Bioinformaticsā by NIT Patna in Oct 2023
- FDP on “AI Trends and Industry Use Cases- Contemporary and Future by Department of Applications in association with TCS,Kochi in Sep 2023.
- FDP on MLOps organised by AIT-CSE,Chandigarh University in Feb 2023.
- FDP on Distributed Computing by Department of Computer Science and Engineering at SNGCE from 30/1/2023-1/2/2023
- FDP on DataScience using Python by Mangalam College of Engineering, Kollam from 24/1/2023-26/1/2023.
- FDP on Processing and Security ofĀ Digital Images by NIT Patna in Dec 2022.
- Attended pre-conference workshop on Research Publications and Proposal Writing in connection with i-SMaRT 2023 organised by FISAT and King Mongkut’s University of TechologyNorth Bangkok on 23/5/2023.
- FDP on Data mining and warehousingĀ at SNGIST on Jan 2019.
- FDP on Automation in the world of AI,ML and Data Acience held on 8/11/2019 at TCS,Kochi.
- FDP on Research trends in computer science at Muthoot Institute of Science and Technology from 2/6/2019 to 6/6/2019.
- FDP on Fuzzy logic and genetic algorithmĀ at Adi Shankara fromĀ 27/7/2017 to 28/7/2017.
- FDP on Big Data by TCS,Kochi on 28/11/2012.
- Short term course on recent trends in computer architecture at Rajagiri School of Engineering and Technology from 12/11/2014 to 25/11/2011
- FDP on Software Testing atĀ TCS onĀ 13/6/2011
- Mispronunciation Detection inĀ Childrenās Reading of Sentences.
- Automatic Allocation of System in Digital Library.
- Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques
- Gene Disease Association using Machine Learning techniques
- Deep representation Learning with full center loss for credit card fraud detection
- Automatic Clinical Text Categorization and Sentimental Analysis
- Phish Fighter :Self Updating Machine Learning Shield Against Phishing Attacks
- CludVault: Smart Sustainable CLoud Storage Systems
- Bug Tracking System
- Data Structures
- Data Mining
- Machine Learning
- Programming in C
- Database Management Systems
- Soft Computing
- ComputerĀ Organization
- Microprocessor Systems
- Design and Analysis of Algorithms