Kakoli1_0

Qualification :
M. Tech. (IT), BE (CSE)
Pursuing PhD (Astroinformatics, under VTU)

Teaching Experience:
16 years of teaching Experience

Professional Experience:
Currently working as Assistant professor at PESIT South Campus, Bangalore (2006-
till date)
Worked as Lecturer at Sarda University (2004-2006)

Time table coordination
Seminar coordination
Class teacher
Project coordination
EMS coordination

Data Structres, Design and Analysis of Algorithms, Advanced Data structures, Advanced Algorithms, Programming in C, Operationg Systems, System Software, File Structures, Information and network security, Advanced Computer Architecture, Artificial Intelligence, Big Data Analytic, Unix System Programming, Software Engineering, Computer Graphics and Automata Theory

Area of Interesets – Machine Learning, Big data Analysis, Optimization techniques

Kakoli Bora, Sumana Sinha, "The Apartment service dispatch strategy and load estimation", IJAER, ISSN 0973-4562, Volume 10, Number 23 (2015) pp 43716-43721.

Journal Publications -

1. Bora, Saha et al., CD-HPF: New Habitability Score Via Data Analytic Modeling, Astronomy and Computing (Elsevier-I.F: 3.1), Vol 17, pp 129-143, 2016, https://doi.org/10.1016/j.ascom.2016.08.001

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-I.F: 3.1), Vol. 23, pp 141-150, 2018, https://doi.org/10.1016/j.ascom.2018.03.003

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–I.F: 3.1), 30, November 2019, https://doi.org/10.1016/j.ascom.2019.100335 Book Chapter --

4. Surbhi Agrawal, Kakoli Bora and Swati Routh, "Machine Learning Approaches for Supernovae Classification” book chapter published in Handbook of Research on Applied Cybernetics and Systems Science, 207-219, April-2017, DOI: 10.4018/978-1-5225-2498-4.ch009

Conference Proceedings -

1. Snehanshu Saha, Archana Mathur, Kakoli Bora, Suryoday Basak and Surbhi Agrawal, A New Activation Function for Artificial Neural Net Based Habitability Classification, IEEE Workshop on Modeling and Machine Learning in Astronomy (MMLA’18), Sept 19-20, 2018, doi: 10.1109/ICACCI.2018.8554460.

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, doi: 10.1109/ICACCI.2018.8554849 Articles in Newsletters/Magazines --

3. Margarita Safonova, Snehanshu Saha, Jayant Murthy, Madhu Kashyap, C. Sivaram, Suryoday Basak, Surbhi Agrawal, Kakoli Bora, Pros and Cons of Classification of Exoplanets: in Search for the Right Habitability Metric, Astrobiology Newsletter, Vol 11, 2018.

4. Surbhi Agrawal, Margarita Safonova, Kakoli Bora, Suryoday Basak and Snehanshu Saha, Note on Proxima Centauri b: Theoretical validation of potential habitability via CD- HPF, Astrobiology Newsletter, Vol 10(4), 2017.