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Sandip Modha

Sandip Modha
Sandip Modha
 
PhD, DA-IICT Gandhinagar

Contact Details

 
079-68261672
 
# 2201, FB-2, DAU, Gandhinagar, Gujarat, India – 382007
 
https://scholar.google.com/citations?user=J0lkcsQAAAAJ

Biography

Dr. Sandip Modha has joined Dhirubhai Ambani University (DAU) as an Assistant Professor. His primary research interests lie in the domains of Natural Language Processing (NLP) and Information Retrieval (IR), with a particular emphasis on Hate speech detection, Misinformation analysis, Text Summarization, Fact verification and Assessment, evaluation methodologies, and computational approaches to social media data.

Prior to joining DAU, Dr. Modha served as a Post-Doctoral Research Fellow at the University of Milano-Bicocca, Italy, where he contributed to the European Union–funded projects on misinformation detection and evaluation frameworks. He also held a contractual faculty position in the course on Human-Centered Artificial Intelligence, jointly run by the Universities of Milan, Milano-Bicocca, and Pavia. He is actively engaged in the global research community as the Founder and Co-Organizer of the HASOC (Hate Speech and Offensive Content) track and the Indian Language Summarization (ILSUM) track at the Forum for Information Retrieval Evaluation (FIRE)

Dr. Modha holds a Ph.D. from the Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT). He obtained his M.Tech. in Computer Science and Engineering from Nirma University and a B.E. in Computer Engineering from Nirma Institute of Technology, which was formerly affiliated with Gujarat University.

Specialization

Natural Language Processing (NLP), Information Retrieval (IR), Evaluation Methodologies, and Computational Approaches to Social Media Data.

Publications

Journal Articles

  • Sandip Modha, Prasenjit Majumder, Thomas Mandl, Chintak Mandlia (2020), Detecting and Visualizing Hate Speech in Social Media: A Cyber Watchdog for Surveillance, Expert Systems With Applications (ESWA) 2020, Elsevier,
    https://doi.org/10.1016/j.eswa.2020.113725
  • Koyel Ghosh, Saptarshi Saha, Thomas Mandl Sandip Modha (2025), ”Findings from shared tasks on hate speech detection: Performance patterns for low-resource languages“, Pattern Recognition Letters, 2025,
    https://doi.org/10.1016/j.patrec.2025.09.004
  • Hiren Madhu, Shrey Satapara, Sandip Modha, Thomas Mandl, Prasenjit Majumder(2023), ”Detecting Offensive Speech in Conversational Code-Mixed Dialogue on Social Media: A Contextual Dataset and Benchmark Experiments“, Expert Systems With Applications (ESWA), 2023,
    https://doi.org/10.1016/j.eswa. 2022.119342
  • Sandip Modha, Prasenjit Majumder Thomas Mandl (2022), An empirical evaluation of text representation schemes to filter the social media stream, Journal of Experimental & Theoretical Artificial Intelligence, 34:3, 499-525,
    https://doi.org/10.1080/0952813X.2021.1907792
  • Sandip Modha, Prasenjit Majumder, Thomas Mandl, Rishab Singla (2021), Design and Analysis of Microblog based Summarization System, in Social Network Analysis and Mining (SNAM) Springer,
    https://doi.org/10.1007/ s13278-021-00830-3
  • Sandip Modha, Thomas Mandl, Prasenjit Majumder, Daksh Patel (2020), Tracking Hate in Social Media: Evaluation, Challenges and Approaches, SN Computer Science 2020,
    https://doi.org/10.1007/s42979-020-0082-0

Conference Articles

  • Michael Soprano, Sandip Modha, Kevin Roitero, Eddy Maddalena, Marco Viviani, Gabriella Pasi, Stefano Mizzaro (2025), AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews, In: Proceedings of the 48th International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR). ICTIR ’25. Padua, Italy: Association for Computing Machinery, lug. 2025, pp. 194–207. isbn: 9798400718618.
    https://doi.org/10.1145/3726302.3729960
  • Eddy Maddalena, Stefano Mizzaro, Kevin Roitero, Marco Viviani, David La Barbera, Sandip Modha, Gabriella Pasi, Francesca Da Ros and Michael Soprano. (2025), Report on the 14th Italian Information Retrieval Workshop (IIR 2024), In: SIGIR Forum 58.2 (dic. 2024), pp. 1–13. issn: 0163-5840,
    doi:10.1145/3722449. 3722464
  • Kasela Pranav, Braga Marco, Sokli, Effrosyni, Milanese Gian Carlo, Peikos, Georgios, Modha Sandip, Raganato Alessandro, Viviani Marco, Pasi, Gabriella (2024), Overview of the PIR Track at FIRE 2024: Evaluation of Personalised Information Retrieval, In Proceedings of the 16th Annual Meeting of the Forum for Information Retrieval Evaluation,(FIRE 2024), Association for ComputingMachinery, New York, NY,
    https://doi.org/10.1145/3734947.3735665
  • Satapara, Shrey and Mehta, Parth Modha, Sandip Hegde, Asha Hosahalli Lakshmaiah, Shashirekha Ganguly, Debasis (2024), Indian Language Summarization at FIRE 2024, In Proceedings of the 16th Annual Meeting of the Forum for Information Retrieval Evaluation, Association for Computing Machinery, New York, NY, (27–29)
    https://doi.org/10.1145/3734947.3735668
  • Mandl Thomas, Majumder Prasenjit, Modha Sandip, Dave Mohana (2020), Evaluating, Monitoring and Regulating the Identification of Offensive Content, In: Book of Abstracts of the Digital Humanities in the Nordic Countries, 5th conference. Riga, 20–23 October. pp. 174-178.
    https://doi.org/10.5281/ zenodo.4107117.
  • Thomas Mandl, Sandip Modha, Anand Kumar M, Bharathi Raja Chakravarthi (2020):, Overview of the HASOC Track at FIRE 2020: Hate Speech and Offensive Language Identification in Tamil, Malayalam, Hindi, English and German, In: Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation (FIRE), ACM
    https://doi.org/10.1145/3441501.3441517.
  • Thomas Mandl, Sandip Modha, Prasenjit Majumder, Daksh Patel, Mohana Dave, Chintak Mandlia, and Aditya Patel. (2019), Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages, In Proceedings of the 11th Forum for Information Retrieval Evaluation (FIRE 19), Association for Computing Machinery, New York, NY, USA, 14–17
    https://doi.org/10.1145/3368567.3368584.

Preprints

  • Shrey Satapara, Parth Mehta, Debasis Ganguly, and Sandip Modha, Fighting fire with fire: adversarial prompting to generate a misinformation detection dataset
    https://arxiv.org/pdf/2401.04481

Teaching

  • Information Retrieval
  • Natural Language Processing
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