Academic Positions and other Responsibilities (University Level)

Deputy chair (Department of Data Science, DSU)

Academic Positions and other Responsibilities (Institute and Department Level)

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.

Professional Memberships

IEEE

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, etc.

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

1. 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).
2. 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) .
3. 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).
4. 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).

Conference

1. 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.
2. 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.
3. 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.

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.

Hobbies: Exploring new places, Astrology

Sports: Badminton, Carrom board

Music:  Listening