• Ph.D. Faculty of Technology, Cochin University of Science and Technology, 2014
• MCA from MG University , 2002 (University First Rank)
• BCA from MG University , 1999 (College Topper, University 5th Rank)

• Rajagiri School of Computer Science, from June 2003- till date.
• Guest Lecturer, M A College Kothamangalam
• Guest Lecturer, Vidya Bharati, Kalamassery

• Spatial Clustering, Data Mining, Visualization

• Awarded the AICTE SPARC project titled " Develop and test a Digital Health Intervention to integrate care for improved management of chronic physical and psychological health conditions of community population in India" in collaboration with the University of Maryland, Baltimore, US ( SPARC/2019-2020/P2472/SL). Sanctioned Amount: 53,73,675 INR.Indian PI : Dr. Bindiya M  Varghese (Associate Professor and Dean, Dept. of Computer Science, Rajagiri College of Social Sciences)Indian Co-PI(s) : Dr. Saju M D (Principal, Rajagiri College of Social Sciences)International PI : Prof. Antonio R Moreira (Professor & Vice Provost for Academic Affairs, UNIVERSITY OF MARYLAND, BALTIMORE COUNTY)International Co-PI(s) : Prof. Anupam Joshi (Chair of CSEE Department & Director, UMBC Center for Cybersecurity, UNIVERSITY OF MARYLAND, BALTIMORE COUNTY) 
• Awarded AICTE- SPICES Project (F. No. 10-78 / AICTE/IDC/SPICES/2021-22) worth 1,00,000/-
• Research Team consisting of Dr. Bindiya M Varghese and Dr. Saju M D is awarded a project grant under the IMPRESS Scheme on “Integrating social and health care for improved management of chronic physical and psychological health conditions in India; testing a technology infused health intervention strategy” . The Committee has approved a grant-in-aid of Rs.15,00,000/- (Rupees Fifteen Lakhs only) plus overhead charges @5 % or maximum Rs. 1,00,000/- for the study including publication.
• Enhanced Spatial Mining Algorithm Using Image Extraction on Quad trees. Computer Society of India. File No : 1-14/2009-04, March 2009

AAA/Mock NAAC

• Don Bosco College, Kottiyam
• Jai Hind College, Mumbai
• Don Bosco University, Assam
• Christ University, Bangalore
• Chinmaya Vidyapeeth, Kerala
• SRM University, Chennai
• SB College Chenganassery
• St. Thomas College, Thrissur
• St. Joseph’s College, Iringalakuda
• Vimala College, Trissur
• St. Paul’s College Kalamassery
• SH College Thevara
• IHRD, Kanthaloor
• Sahradaya College Kodakara
• Providence Women's College, Calicut
• Don Bosco College, Mampetta

Training on Accreditations/OBE/Excellence in Education practices/Orientations

• St. Teresa’s College Ernakulam
• Bharath Mata College, Kakkanad
• Carmel College Mala
• Don Bosco College, Kannur
• Vimala College Trissur
• St. Mary’s College, Thrissur
• BMS College for Women, Bangalore
• Auxilium College, Vellore
• St. Mary’s College, Puthanangadi
• St. Joseph’s College, Hyderabad
• Rajagiri College of Management and Applied Sciences, Kakkanad
• M A College of Engineering, Kothamangalam
• NIMIT, Pongam
• FISAT, Angamaly
• Model Engineering College, Kochi
• Rajagiri School of Engineering and Technology, Kakkanad
• BPC College, Piravam

• Abhilash, B., & Varghese, B. M. (2025). Analytical Assessment of Prospective Technologies Tailored to Industrial Needs. 2025 2nd International Conference on Trends in Engineering Systems and Technologies (ICTEST), 1, 1–6.
• Govind, P. S., Sajila, M., & Varghese, B. M. (2016). A two stage data hiding scheme with high capacity based on interpolation and difference expansion. Procedia Technology, 24, 1311–1316.
• Kuriakose, B., Baby, A., Vijayan, J., & Varghese, B. M. (2024). Enhancing Short-Term Load Forecasting Accuracy with CatBoost Algorithm and Wavelet Transform Integration. International Conference on Advances in Data-Driven Computing and Intelligent Systems, 15–26.
• Narayanan, N., KR, R., & Varghese, B. M. (2025). Early detection of autism spectrum disorder via deep-learning application of fMRI and machine learning for ASD children identifications. International Journal of Hybrid Intelligent Systems, 21(2), 148–162.
• Narayanan, N., Remya, K., & Varghese, B. M. (2023). Machine Learning Approaches for the Early Diagnosis of Autism Spectrum Disorder: A Systematic Framework. International Conference on Soft Computing and Pattern Recognition, 71–85.
• Narayanan, N., & Varghese, B. M. (2025). Enhancing Military Surveillance: Applying State-of-the-Art Deep Learning Techniques for Improved Aviation Identification. 2025 2nd International Conference on Trends in Engineering Systems and Technologies (ICTEST), 1, 1–6.
• Remya, N. N. K., & Varghese, B. M. (2025). Machine Learning Approaches for the Early Diagnosis of Autism Spectrum Disorder: A Systematic Framework. Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023): Volume 2: Deep Learning and Large Language Models, 1245, 71.
• Sabeen Govind, P., Varghese, B. M., & Judy, M. (2021). A high imperceptible data hiding technique using quorum function. Multimedia Tools and Applications, 80(13), 20527–20545.
• Saju, M., Nukala, L., Shekhar, R., Gomez, K., Varghese, B. M., Benny, A. M., Scaria, L., Prabhu, S., & Jotheeswaran, A. T. (2020). Cohort profile: Social well-being and determinants of health study (SWADES), Kerala, India. BMJ Open, 10(3), e032803.
• Saju, M., Varghese, B. M., Scaria, L., Benny, A. M., Yohannan, S. V., Cheguvera, N., Rajeev, S., & Jotheeswaran, A. T. (2021). Swāsthya, an integrated chronic condition management programme for families of patients with hypertension and diabetes mellitus: A study protocol for a randomised controlled trial. BMC Family Practice, 22(1), 15.
• Shiju, T. M., Krishna, A. V., & Varghese, B. M. (2022). A CNN model to predict and segment cancerousregions from brain images using UNet and morphological operations. 2022 International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT), 1–5.
• Thomas, S., Govind, S., Varghese, B., Benny, D., & Krishna, A. (2025). A High-Capacity Reversible Data Hiding on Grayscale Images Using Threshold-Based Clustering. 2025 2nd International Conference on Trends in Engineering Systems and Technologies (ICTEST), 1, 1–6.
• Varghese, B. (n.d.). Development of Hierarchical Clustering Techniques for Gridded Data from Mixed Data Sequences.
• Varghese, B. M., & Unnikrishnan, A. (2008). Recursive decision tree induction based on homogeneousness for data clustering. 2008 International Conference on Cyberworlds, 754–758.
• Varghese, B. M., Unnikrishnan, A., & Jacob, K. (2013). Spatial clustering algorithms-an overview. Asian Journal of Computer Science and Information Technology, 3(1), 1–8.
• Varghese, B. M., Unnikrishnan, A., & Jacob, P. (2009). Information Content Extraction on Quad Trees for Active Spatial Image Clustering. 2009 WRI World Congress on Computer Science and Information Engineering, 4, 306–310.
• Varghese, B. M., Unnikrishnan, A., Jacob, P., & Jacob, J. (2010). Correlation Clustering Model for Crime Pattern Detection. Int. J. Adv. Comp. Techn., 2(5), 125–128.
• Varghese, B. M., Unnikrishnan, A., & Poulose Jacob, K. (2011). Enhanced Spatial Mining Algorithm Using Fuzzy Quadtrees. International Conference on Computational Intelligence and Information Technology, 110–116.
• Varghese, B. M., Unnikrishnan, A., & Poulose Jacob, K. (2016). Visualization of Mixed Attributed High-Dimensional Dataset Using Singular Value Decomposition. International Conference on Big Data Technologies and Applications, 3–11.
• Varghese, B. M., Unnikrishnan, A., Sciencist, G., Kochi, N., & Kochi, C. (2010). Clustering student data to characterize performance patterns. Int. J. Adv. Comput. Sci. Appl, 2, 138–140.
• “Digital Semiotics”, South Asian Journal of Socio-Political Studies”, Vol.6, No. 2, January-June 2006, pp 122-125

• Chaired a  session at   International Conference on Sustainable Development Goals - Opportunities, Challenges, and Future on March 31, April 1 & 2, 2023, organized by  St. Joseph's Degree and PG College, Hyderabad

• Attended Six Days Online Faculty Development Programme (FDP - An IQAC Imitative) on “Data Science Using Python, R and Orange” organized by the Department of Computer Science, Rajagiri College of Social Sciences (Autonomous), Kalamassery, Kochi  held from 10th to 15th August 2020.
• Attended Five Day Faculty Development Programme (FDP - Funded by RUSA2.0-MHRD) on "Machine Learning & Data Visualization Using Python & MS Power BI" organized by the Department of Computer Science, Rajagiri College of Social Sciences (Autonomous), Kalamassery, Kochi India held from 4th to 8th February 2020.
• Attended a 5 Day Training program at University of York, 2018
• Attended a 5 Day International Faculty Development Program on High Performance Computing & Data Science from 17th- 22nd August, 2017 .
• Short term course on R programming organized by Dept. of Computer Science, M A College of Engineering, Kothamangalam from 21st to 23rd July 2016.
• Attended a 2 week AICTE-ISTE short term training programme on Emerging Technologies and Applications in Networking from 10-22 December 2007.
• Attended a two week AICTE Sponsored Staff development Programme on Advanced Mathematics and Computer Science from 12th to 26th March 2007.
• Two day National Conference on Innovations in Information and Communication Technology - NCIICT 2006, organized by PSG College of Technology, Coimbatore on July 7-8, 2006.
• Attended a two day   workshop in “Information Delivery Systems for Academic and Research Institutions (IDSARI 1.0) “at Rajagiri College Of Social Sciences from 24th-25th September 2012.
• 5-Day Mission 10x workshop, April 20-24, 2009, organized by Wipro Technologies.
• Two day National Conference on Computational Science and Engineering - NCCSE 2009, organized by Rajagiri School of Computer Science, on February 6-7, 2009.
• Two day National Conference on Innovations in Information and Communication Technology - NCIICT 2006, organized by PSG College of Technology, Coimbatore on July 7-8, 2006.

• Course on The Data Scientist's Toolbox authorized by Johns Hopkins University and offered through Coursera.
• Course on R Programming authorized by Johns Hopkins University and offered through Coursera.
• Understanding Research Methods (Authorized by University of London and SOAS University of London and offered through Coursera)

• Mary Glowerey Scholarship, University of Melbourne, Australia.

• 2023 EFMD Global Asia Conference, Thailand
• Member, Research Colloquium, University of Melbourne
• 10 Day training on Scoping Review, University of York, London

• Member, Board of Studies, Vocational Studies-Software Development, St. Mary's College (Autonomous), Thrissur.
• Member, Governing Body, St. Joseph's College ( Autonomous), Irinjalakuda, Thrissur,
• Member, Board of Studies, Dept. of Computer Science, St. Thomas College (Autonomous), Thrissur
• Member, Board of Studies, Dept. of Computer Science, St. Alberts College (Autonomous), Ernakulam

Rajagiri College of Social Sciences (Autonomous), Kalamassery

• Member, Governing Body
• Member, Academic Council
• Chairperson, Board of Studies, Dept. of Computer Science
• Additional IQAC Coordinator
• Dean and Head of the Department, Dept. of Computer Science 
• Convenor, Internal Complaints Committee
• Conference Coordinator, International Conference on Knowledge Engineering: Theory and Practices, July 2015