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Dr. Sujoy Chatterjee

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Dr. Sujoy Chatterjee is currently working as a Postdoctoral Researcher at the University of Campinas, Sao Paulo, Brazil. Previously, he worked as an Assistant Professor in the Department of Computer Science and Engineering and Research & Innovation Cell at Amity University, Kolkata, and in the Department of Informatics, University of Petroleum and Energy Studies (UPES), Dehradun, India, respectively. Previously, he was a Post-doctoral Research Fellow (UNIST Research Scientist) in Ulsan National Institute of Science and Technology (UNIST), South Korea. He did another Post-doc from the I3S laboratory, at the University of Cote d'Azur, Sophia-Antipolis, France. He also performed research as a short-term visiting researcher in the DIBRIS Lab, University of Genova, Italy. Before that, he completed a B.Sc (Honours) in Physics from the University of Calcutta, India in 2006, a Master of Computer Applications (MCA) from West Bengal University of Technology, India in 2010, and a Master of Technology (M.Tech) in Computer Science and Engineering from University of Kalyani, India in 2013. He obtained his Ph.D from the University of Kalyani in 2018.  His research interests include human-computer interaction, data mining, machine learning, etc. He has published several papers in different reputed international conferences like CHI, ICDE, AAAI HCOMP, AAAI Symposium Series, ACM IKDD CODS, and journals. He received several student travel grant awards and best paper awards at various conferences in India and abroad. He visited Stanford University and San Diego, USA to present his papers in ICDE 2017,  AAAI Spring SSS 2017, etc. He visited the Indian Institute of Science at Bangalore in WINE 2017, and IIT Madras in IKDD CODS 2017 to present papers in different conferences. He was selected among 15 Young Researchers to receive Young Investigator Training Program Funding (YITP) to visit 1 month of Research in Italy from the IEEE AIKE Conference Organizing Committee.

Recent Updates​

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  • Our recent work is accepted in Engineering Applications in Artificial Intelligence Journal (SCIE, IF:7.5)
  • Our work in Epedemic Modelling is accepted in 12th IKDD CODS and 30th COMAD (8th International Conference on Data Science and Management of Data), CODS-COMAD, 2024 to be held at IIT Jodhpur, India.
  • Selected for Postdoctoral Fellowship at the University of Campinas, Sao Paulo, Brazil (QS Ranking: 232).
  • One Indian Copyright registered. Title: Crowdsourced based Automated Model for Cyber-Attack detection and application of it in law 

  • My Edited Book on Social Media and Crowdsourcing by Taylor and Francis, CRC Press [Scopus Indexed]

  • Two Papers got accepted in IEEE ICCCNT 2023 to be held at IIT Delhi, India
  • Two Papers (Works-in Progress and Demo Track) got accepted in AAAI HCOMP 2022
  • One Paper got accepted in 13th IEEE ICCCNT to be held at IIT Mandi
  • Our Paper on COVID-19 "Fuzzy association analysis for identifying climatic and socio-demographic factors impacting the spread of COVID-19" is now online (published in Methods Journal(SCIE))
  • Another work on "Crowdsourcing-based Ranking for Constrained Crowdsourced Opinions" is published in Entropy Journal (SCIE)
  • Acted as a Track Co-Chair and Session Chair in AI and Data Science Track in IEEE INDICON 2021 held at IIT Guwahati
  • Invited to deliver a talk at Crowd Science Seminar organized by Data Driven AI Meetup in Moscow, Russia on September, 2021
  • Presented work in 2nd Crowd Science Workshop co-located with 47th International Conference on Very Large Data Bases (VLDB - 2021)​

RECENT ARTICLES

1. Weighted Rank Aggregation of Crowd in Knowledge-Based Systems

 2. A Probablistic Model for Group Decision Making in CHI Extended Abstract

  3. Smart City Planning using Constrained Crowd Judgment Analysis in AAAI Spring Symposium

  4. Judgment Analysis Based on Crowdsourced Opinions in IEEE ICDE

 5. Dependent Judgment Analysis Based on Crowdsourced Opinions in Information Sciences

 6.  A Review of Judgment Analysis Algorithms for Crowdsourced           Opinions, IEEE Transactions on Knowledge and Data Engineering

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