Academic Positions and other Responsibilities (University Level)

Deputy chair (Department of Data Science, DSU)

Academic Positions and other Responsibilities (Institute and Department Level)

BOS coordinator, NBA criteria 8 lead, Exam coordinator, NAAC criteria 2 lead, Mentor, Project coordinator, Internship coordinator, Class teacher, course coordinator

Reviewer at National/International Conference/Seminars

• Reviewed papers in various national and international conferences.
• Session Chair in International conference.
• Evaluator for technical events and hackathons.

Recognized Research Guide/Supervisor: Supervised a PhD scholar in DSU

Professional Memberships

IEEE.

Workshops /Seminars Organized:

• Organized tech talks, webinars, FDPs, technical events.
• Resource persons for various technical events conducted for 3rd and 4th year students.
• Participation in Training courses/Seminars/Workshops

Expertise / list of Subjects handled

Data Structure, Algorithms Analysis & Design, OS, File systems, Advanced Computer Architecture, FAFL, SE, Network security, Artificial Intelligence, Machine Learning, Big Data Analytics, Advanced Data Science, Research Methodology, Generative AI, Cognitive Science.

Research Interest 

Machine Learning, Computer Vision

Funding received                                                                 

Collaborator for “An interdisciplinary study in Machine Learning and Classification for Astronomy”, SERB-DST, Thirty-Six Lacs Approximately, over three years. EMR/2016/005687- 2018-2020

Journal

• Bora, Saha et al., CD-HPF: New Habitability Score Via Data Analytic Modeling, Astronomy and Computing (Elsevier), Vol 17, pp 129-143, 2016 (SCIMAGO Q2, I.F: 3.1).
• Snehanshu Saha, Suryoday Basak, Margarita Safonova, Kakoli Bora, Surbhi Agrawal, Poulami Sarkar and Jayant Murthy: Theoretical Validation of Potential Habitability via Analytical and Boosted Tree Methods: An Optimistic Study on Recently Discovered Exoplanets, Astronomy & Computing (Elsevier), Vol. 23, pp 141-150, 2018, https://doi.org/10.1016/j.ascom.2018.03.003 (SCIMAGO Q2, I.F: 3.1) .
• Suryoday Basak, Snehanshu Saha, Archana Mathur, Kakoli Bora, Simran Makhija, Margarita Safonova, Surbhi Agrawal; CEESA Meets Machine Learning: From Earth Similarity to Habitability Classification of Exoplanets, Astronomy and Computing (Elsevier), 30, November 2019. (SCIMAGO Q2, I.F: 3.1).
• Margarita Safonova, Archana Mathur, Suryoday Basak, Kakoli Bora, Surbhi Agrawal: Quantifying the Classification of Exoplanets: in Search for the Right Habitability Metric, European Physical Journal, ST special issue: Modeling, Machine Learning and Astronomy, Springer, 2021. https://doi.org/10.1140/epjs/ s11734-021-00211-z (SCIMAGO Q2, I.F: 2.891).
• Vibha S Prasad, Pragathi M Shetty, Dr. Kakoli Bora: “A Review of AI-Driven Customer Lifetime Value, Churn Prediction and Sales Forecasting: Transforming Business Insights with Machine Learning and Advanced Analytics”, International Journal of Advanced Research in Computer and Communication Engineering, Impact Factor 8.102, Peer-reviewed & Refereed journal, Vol. 14, Issue 2, February 2025. DOI: 10.17148/IJARCCE.2025.14243

 Conference

• Snehanshu Saha, Archana Mathur, Kakoli Bora, Suryoday Basak and Surbhi Agrawal, A New Activation Function for Artificial Neural Net Based Habitability Classification, ICACCI, Bangalore: IEEE 2018, ISBN 978-1-5386-5314-2 (ICCACI’18), Sept 19-20, 2018.
• Surbhi Agrawal, Suryoday Basak, Kakoli Bora, Jayant Murthy, A Comparative Analysis of the Cobb- Douglas Habitability Score (CDHS) with the Earth Similarity Index (ESI). ICACCI, Bangalore: IEEE 2018, ISBN 978-1-5386-5314-2, 1775-1780.
• Manjula M, Kakoli Bora, Shaila SG, Skanda N Raj, Thilak R and Akansha Kanchireddy, Enhancing Data Privacy through a secure data hiding approach integrated with lossless compression, 7th International Conference on Inventive Computation Technologies – ICICT 2024, organized by Tribhuvan University, Nepal: IEEE 2024, ISBN 978-8-3503-5929-9 (ICICT’24), April 24-26, 2024.
• Lisha Kushalappa C S, Lithisha P S, Manjula A and Kakoli Bora, Guardian AI: An Integrated Multi-Modal Surveillance System with Real-Time Face Recognition, Location Tracking and Alert Notification, 6^th International Conference on Computer Vision and Robotics, (CVR 2026), National Institute of Technology Goa, Technically Sponsored by Soft Computing Research Society, April 24-25, 2026

Book Chapters                                                                 

• Surbhi Agrawal, Kakoli Bora and Swati Routh published a book chapter titled “Machine Learning Approaches for Supernovae Classification” in Handbook of Research on Applied Cybernetics and Systems Science, 207-219, April-2017, DOI: 10.4018/978-1-5225-2498-4.ch009.
• L1 Norm SVD based Ranking Scheme: A Novel Method in Big Data Mining”, AISC, Springer, 2018.

Hobbies: Exploring new places, Astrology

Sports: Badminton, Carrom board

Music:  Listening to songs