Dr. Sujoy Chatterjee

Assistant Professor- Senior Scale

Academic Background 

  • Ph.D (Computer Science and Engineering) from University of Kalyani, 2018

  • M.Tech (Computer Science and Engineering) from University of Kalyani, 2013

  • MCA from Kalyani Government Engineering College, W.B.U.T, 2010

  • B.Sc (Physics Honours) from University of Calcutta, 2006

 

Career Graph:

  • 2019-2020: Post-doc Researcher, Department of Industrial Engineering, Ulsan National Institute of Science and Technology (UNIST), South Korea.

  • 2019 (June) – 2020 (July): Visiting Researcher, DIBRIS Laboratory, University of Genova, Italy.

  • 2018-2019: Post-doc Researcher, I3S Laboratory, Universite of Cote d'Azur (UCA), Sophia-Antipolis, France.

  • 2013-2018: Full-time Ph.D Student (University Research Scholar Jr and Sr.) in the Department of Computer Science and Engineering, University of Kalyani, India.

 

Honours and Achievements:

  • Received the Best Paper Award from International Association for Educators and Researchers (IAER) in Third International Conference on Emerging Technologies in Computing (iCETiC - 2020) organised by London Metropolitan University, London, UK on August 19-20, 2020.

  • Obtained an opportunity with fellowship for Postdoc position in UNIST South Korea in 2019.

  • Selected within 15 Young Researchers for Full Travel Fellowship (USD 2500) as 1 month Visiting scholar at Italy in Young Investigator Training Program (YITP), funded by ACRI Foundation, in IEEE International Conference on Artificial Intelligence and Knowledge Engineering (IEEE AIKE 2019), in Cagliari, Italy.

  • Obtained an opportunity with fellowship for Research Associate position in NTU Singapore (not availed) in 2018.

  • Obtained an opportunity with fellowship for Postdoc position in Universite of Cote d’Azur, Sohia-Antipolis, France in 2018.

  • 2017 Selected and Received Full Student Travel Scholarship for attending in 13th Conference on Web and Internet Economics (WINE - 2017) at Indian Institute of Science, Bangalore, India on December 17-20, 2017.

  • 2017 Selected and Received International Student Travel Scholarship (USD 1000) from IEEE Technical Committee of Data Engineering (IEEE TCDE) to attend PhD Symposium in 33rd International Conference on Data Engineering (ICDE) at San Diego, USA on April, 9-22, 2017.

  • 2017 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.

  • 2017 Received International Student Travel Scholarship (USD 950) from Computing Community Consortium Catalyst (CCC) for attending AAAI Spring Symposium 2017 on AI for Social Good (AISOC) at Stanford University, Palo Alto, California, USA.

  • 2017 Selected and received International Student Travel Scholarship (USD 970) from Association for the Advancement of Artificial Intelligence (AAAI) for attending AAAI Spring Symposium 2017 on AI for Social Good (AISOC) at Stanford University, Palo Alto, California, USA.

  • 2017 Selected and Received Student Travel Scholarship from IKDD CoDS (co-located with COMAD 2017) for presenting work in Graduate Research Workshop at 4th ACM IKDD conferences on Data Sciences (CoDs - 2017) in IIT Madras, Chennai, India.

  • Received Institutional fellowship as University Senior Research Fellow and Junior Research Fellow from University of Kalyani for pursuing research in the field of Computer Science and Engineering during 2013-2018.

  • Received ACM India Full Student Travel Fellowship for attending 2nd IKDD conferences on Data Sciences (CoDs - 2015) in Bangalore, India.

  • Received UGC scholarship for pursuing Master’s Program in Computer Science & Engineering (Third position in University in respective of DGPA) on the basis of GATE-2011 score.

  • 2003 National Merit Scholarship for securing good marks in Class-10 Examination.

 

Research:

Contribution
Interest

Data Mining, Crowdsourcing, Machine Learning, Evolutionary Computation

 

Recent Publications:

 

International Journals:

  • N. Pasquier and S. Chatterjee,“Customer Choice Modelling: A Multi-Level Consensus Clustering Approach”. In Annals of Emerging Technologies in Computing, 5(2):103-120, International Association for Educators and Researchers (IAER), April 2021, DOI 10.33166/AETiC.2021.02.009 [Scopus-Indexed]

  • S. Chatterjee and S. Lim, “A Multi-objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis.” IEEE Access 8 (2020): 87647-87664 (Latest IF: 3.75) [SCIE Indexed].

  • 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: 4.78) [SCI Indexed].

  • S. Chatterjee and A. Mukhopadhyay and M. Bhattacharyya, “A Review of Judgment Analysis Algorithms for Crowdsourced Opinions”, IEEE Transactions on Knowledge and Data Engineering, 32(7), pp. 1234-1248, 2020 (Latest IF: 4.9) [SCI Indexed].

  • S. Chatterjee and M. Bhattacharyya, “Scalable Human Decision Making with Crowdsourcing”, The Brunswik Society Newsletter, 34, pp. 7-9, November, 2019 (ISSN: 2296-9926).

  • S. Chatterjee and 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: 5.9) [SCI Indexed].

  • S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, “Constrained Crowd Judgment Analysis”, ACM SIGWEB NEWSLETTER, Autumn, 2017

  • S. Chatterjee and M. Bhattacharyya, “Judgment Analysis of Crowdsourced Opinions using Biclustering”, Information Sciences, 375:138-154, 2017, DOI: 10.1016/j.ins.2016.09.036. (Latest IF: 5.9) [SCI Indexed]

  • S. Chatterjee and A. Mukhopadhyay and 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. (Latest IF: 5.9) [SCI Indexed]

 

International Conference:

  • S. Chatterjee, S. Lim. A TOPSIS-based Multi-objective Model for Constrained Crowd Judgment Analysis", In Eighth AAAI Human Computation and Crowdsourcing (HCOMP-2020), Hilversum, Netherland, October 26 - 29, 2020. [Works-in-Progress].

  • S. Chatterjee, N. Pasquier, A Multi-Level Consensus Clustering Framework for Customer Choice Modelling in Travel Industry", In Proceedings of the 3rd (iCETiC'2020) International Conference on Emerging Technologies in Computing. iCETiC'2020, London, United Kingdom, August 2020, LNICST Series, Springer International Publishing. (Selected for Best Paper Award)

  • S. Chatterjee, N. Pasquier, S. Nanty, M. A. Zuluaga. Multi-objective Consensus Clustering Framework for Flight Search Recommendation in Proceedings of the (ICTIS'2020) International Conference on Information and Communication Technology for Intelligent Systems, Ahmedabad, India, May 2020, Smart Innovation, Systems and Technologies series, Springer International Publishing.

  • S. Chatterjee, Decision Making from Multiple Crowd Opinions" at 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering (IEEE AIKE), on June 3-5, 2019 at Sardinia, Italy [Poster].

  • S. Chatterjee, N. Pasquier, A. Mukhopadhyay, Multi-objective Clustering Ensemble for Varying Number of Clusters", in 10th International Workshop on Knowledge Acquisition Reuse & Evaluation (KARE 2018) at 14th International Conference on Signal and Image Processing (IEEE SITIS 2018), Las Palmas, Gran Canaria, Spain, IEEE, November 27, 2018. (Accepted)

  • S. Chatterjee, A Crowd-Powered Model for Identifying Negative Citations", In SIR 2018 Workshop collocated with 27th International Conference on Information and Knowledge Management (CIKM-2018), Turin, Italy, October 22, 2018.

  • S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Quality Enhancement by Weighted Rank Aggregation of Crowd Opinion", In Fifth AAAI Human Computation and Crowdsourcing (HCOMP-2017), Quebec City, Canada, October 24 - 26, 2017. [Works-in-Progress].

  • S. Mridha, B. Sarkar, S. Chatterjee and M. Bhattacharyya, Identifying Unsafe Videos on Online Public Media using Real-time Crowdsourcing", In Fifth AAAI Human Computation and Crowdsourcing (HCOMP-2017), Quebec City, Canada, October 24 - 26, 2017. [Works-in-Progress].

  • 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 [Top-most conference, 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. [Top-most conference, 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)

  • A. Dash, S. Chatterjee, T. Prasad and M. Bhattacharyya, Image Clustering without Ground Truth", In GroupSight Workshop collocated with the Fourth AAAI Human Computation and Crowdsourcing (HCOMP-2016), Austin, USA, November 03, 2016. [Cited by: 6]

  • S. Chatterjee, E. Kundu and A. Mukhopadhyay, A Markov Chain based Ensemble Method for Crowdsourced Clustering", In Fourth AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2016), Austin, USA, October 31 - November 02, 2016. [Works-in-Progress] [Cited by: 5]

  • S. Chatterjee, A. Mukhopadhyay and M. Bhattacharyya, Consensus of Dependent Opinions", In Fourth AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2016), Austin, USA, October 31 - November 02, 2016. [Works-in-Progress] [Cited by: 6]

  • S. Chatterjee and M. Bhattacharyya, A Biclustering Approach for Crowd Judgment Analysis", In Proceedings of the 2nd ACM IKDD Conference on Data Sciences (CoDS 2015), Bangalore, India, March 18-21, pp. 118-119, ACM Press, 2015 [Poster] [Acceptance rate: 39.5%] [Cited by: 10].

  • S. Chatterjee and A. Mukhopadhyay, Clustering Ensemble: A Multiobjective Genetic Algorithm based Approach", In First International Conference on Computational Intelligence: Modeling, Techniques and Applications (CIMTA-2013), Procedia Technology, Vol. 10, pp. 443-449, Elsevier, Kalyani, India, September 2013 [Cited by: 24].

 

Projects or Ph.D.’s guided:

  • Guided Ms. Enaksmi Kundu (M.Tech Student at KU) on project of Clustering Ensemble".

  • Guided Ms. Mahenoor Khatoon, Mr. Sudipto Sikdar (M.Tech Students at KU) on project of Recommender System".

  • Guided Mr. Kushal Sanyal (M.Tech Student) on project of Missing Value Prediction using Evolutionary Algorithm"

Personal interests: Playing tabla, listening to music