faculty-profile

Dr. Sujoy Chatterjee

info

Associate Professor

Computer Science and Artificial Intelligence

University of Kalyani

10.5 Years

web-pages

Database Management System, Data structures, Machine learning, Algorithm

Data Mining, Machine Learning, Crowdsourcing

Educational
Qualifications
(From Highest)

2018

Ph.D in Computer Science and Engineering from University of Kalyani

2013

M.Tech in Computer Science and Engineering from University of Kalyani and MCA from Kalyani Government Engineering College, W.B.U.T (2010)

2006

B.Sc (Honours) in Physics from University of Calcutta

Professional
Experience

2025

Associate Professor at SR University, Warangal, from 2025-04-28 to .

2024

Postdoctoral Researcher at University of Campinas (UNICAMP), Brazil, from 2024-07-01 to 2025-03-31.

2022

Assistant Professor (Grade II) at Amity University, Kolkata, from 2022-11-07 to 2024-06-26.

2021

Assistant Professor (Senior Scale) at UPES, Dehradun, from 2021-01-04 to 2022-11-03.

2019

Postdoctoral Researcher at Ulsan National Institute of Science and Technology (UNIST), South Korea, from 2019-11-01 to 2020-12-08.

2018

Postdoctoral Researcher at University of Cote d'Azur, France, from 2018-08-01 to 2019-08-15.

2013

University Research Scholar (Junior and Senior) at University of Kalyani, from 2013-12-23 to 2018-04-26.

Student
Supervision

4

PG

Key Publications

S. Chatterjee and M. Bhattacharyya, A Probabilistic Approach to Group Decision Making, In Proceedings of the 36th ACM SIGCHI Conference on Human Factors in Computing System (CHI Extended Abstracts), Denver, USA, May 6-11, ACM Press, 2017 [Acceptance rate: 20%].

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Judgment Analysis based on Crowdsourced Opinions", In Proceedings of 33rd IEEE International Conference on Data Engineering (ICDE 2017) at California, USA on April 19-22, 2017. [Average Acceptance rate: 18.6%]

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Smart City Planning with Constrained Crowd Judgment Analysis", In Proceedings of the AAAI 2017 Spring Symposium on AI for Social Good (AISOC), Palo Alto, USA, March 27-29, SS-17, AAAI Press, 2017

S. Chatterjee and A. Mukhopadhyay, Genetic Algorithm-based Matrix Factorization for Missing Value Prediction", In Proceedings of the 1st International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA 2017), Kolkata, India, March 24-25, Springer CCIS, 2017. (Selected for Best Paper Award from Springer)

S. Chatterjee, A. Mukhopadhyay, M. Bhattacharyya, "Dependent Judgment Analysis: A Markov Chain based Approach for Aggregating Crowdsourced Opinions", Information Sciences,396:83-96, 2017, DOI: 10.1016/j.ins.2017.01.036

S. Chatterjee, M. Bhattacharyya, Judgment Analysis of Crowdsourced Opinions using Biclustering", Information Sciences, 375:138-154, 2017, DOI: 10.1016/j.ins.2016.09.036.

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, A Weighted Rank Aggregation Approach towards Crowd Opinion Analysis, Knowledge-based Systems, 149:47-60, DOI: 10.1016/j.knosys.2018.02.005, 2018 (Latest IF: 7.2)

S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, "A Review of Judgment Analysis Algorithms for Crowdsourced Opinions," in IEEE Transactions on Knowledge and Data Engineering, vol. 32, no. 7, pp. 1234-1248, 1 July 2020, doi: 10.1109/TKDE.2019.2904064 [IF: 8.9].

S. Chatterjee and S. Lim, "A Multi-Objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis," in IEEE Access, vol. 8, pp. 87647-87664, 2020, doi: 10.1109/ACCESS.2020.2993775.

S. Mridha and B. Sarkar and S. Chatterjee and M. Bhattacharyya, ViSSa: Recognizing the Appropriateness of Videos on Social Media with On-demand Crowdsourcing", Information Processing & Management , 2020 (Latest IF: 7.2)

S. Chatterjee, D. Chakroborty and A. Mukhopadhyay: Fuzzy association analysis for identifying climatic and socio-demographic factors impacting the spread of COVID-19, Methods, Aug,2021 (Latest IF: 3.6) [SCIE Indexed]

S. Chatterjee, S. Lim: A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning Methods, Entropy, Aug,2022 (Latest IF: 2.5) [SCIE Indexed]

S. Mandal and S. Chatterjee, A. Mukhopadhyay. “Priority-Based Weighted Constrained Crowd Judgement Analysis with Quantum Genetic Algorithm’, In THE 8th International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC-2024), Benaras Hindu University, India, Dec 19–21, 2024. (In Press)

S. Das, S. Chatterjee, S. Pratiher, S. Chattoraj, M. Basu and H. Konik: Hydrophobicity-Based Grading of Industrial Composite Insulators Images Using Cross Attention Vision Transformer With Knowledge Distillation, IEEE Transactions on Dielectrics and Electrical Insulation, Feb ,2024 (Latest IF: 2.9) [SCIE Indexed]

D. Chakraborty, S. Chatterjee, A. Mukhopadhyay . “Leveraging Graph-Based Deep Learning for Epidemic Modeling’, In The 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD) (ACM CODS COMAD-2024), IIT Jodhpur, India, Dec 19–21, 2024. (In Press)

S. Chatterjee, S. Choudhury: Exploring structural components in autoencoder-based data clustering, Engineering Application in Artificial Intelligence, Vol. 140, Jan,2025 (Latest IF: 7.5) [SCIE Indexed]

Awards and Honors / Achievements

Project

Received the Best Paper Award from Springer in First International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA - 2017) at Calcutta Business School, Kolkata on March 24-25, 2017

award

Received UGC scholarship for pursuing Masters Program in Computer Science & Engineering on the basis of GATE-2011 score

award

Received Ph.D fellowship from University of Kalyani during 2013-2018

award

Received multiple travel grant awards for attending from AAAI, IEEE, ACM for attending AAAI Spring Symposium 2017 in Stanford University, IEEE ICDE 2017, WINE and ACM IKDD CODS

Project

Selected within 15 Young Researchers to receive Full Travel Fellowship (2500 USD) for visiting 1 month Research work in University of Genova, Italy in Young Investigator Training Program (YITP) funded by ACRI Foundation, in IEEE AIKE Confer