MEGHNAD SAHA INSTITUTE OF TECHNOLOGY

1. Received Best Doctoral Research award at 10th International Conference on Pattern Recognition and Machine Intelligence (PReMI'23) on December 2023 by Indian Statistical Institute, Kolkata. 2. Selected for the National-level ACM Anveshan Setu Ph.D. fellowship program on January 2023. 3. Received the Diversity & Inclusion Award for the flagship joint conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). 4. Received MHRD (Government of India) RUSA 2.0 Fellowship on 2019. 5. Received Teaching Assistantship from TEQUIP Phase – II (a Government of India project assisted by the World Bank) on 2017. 6. Departmental first class first rank holder in M.Tech (Computer Science and Engineering).

1. Program Committee Member and Reviewer of International Conferences: ACL SIGIR IWCLUL 2025, ICLR 2025 DeLTa Workshop, EMNLP 2024 Industry Track Ethics Reviewer, EMNLP 2024 Workshop on NLP4DH, AAAI 2024 ReLM Workshop, ICDSA 2024, CSCT 2024, BIDA 2024, ICON 2023, ICMLA (2022, 2023), CSAE 2023, CIPR (2022, 2023), FIRE 2021, ICDSA 2021.

2. Reviewer of Journals: Artificial Intelligence Review – Springer, Journal of the American Medical Informatics Association – Oxford University Press, Neural Computing and Applications – Springer, Cognitive Computation – Springer, Scientific Reports – Nature, Complex & Intelligent Systems – Springer, Cluster Computing – Springer, Social Network Analysis and Mining – Springer, Signal, Image and Video Processing – Springer.

3. Successfully completed the two weeks online Faculty Development Programme on “Natural Language Processing” with “Excellent” (highest) grade, jointly organized by the Electronics and ICT Academies at IIT Kanpur, IIT Roorkee, MNIT Jaipur, IIITDM Jabalpur and NIT Patna, from 7th to 18th February 2022 under the “Scheme of financial assistance for setting up of Electronics and ICT Academies” of the Ministry of Electronics and Information Technology (MeitY), Government of India. The programme is recognized by AICTE and UGC.

1. Sourav Das, Soumitra Ghosh, Anup Kumar Kolya, and Asif Ekbal, "Unparalleled sarcasm: a framework of parallel deep LSTMs with cross activation functions towards detection and generation of sarcastic statements." Language Resources and Evaluation 57, no. 2 (2023): 765-802. DOI: https://doi.org/10.1007/s10579-022-09622-3.

2. Baishali Roy and Sourav Das, "Perceptible sentiment analysis of students' WhatsApp group chats in valence, arousal, and dominance space." Social Network Analysis and Mining 13.1 (2023): 1-19. DOI: https://doi.org/10.1007/s13278-022-01016-1.

3. Sourav Das, and Anup Kumar Kolya, “Predicting the pandemic: sentiment evaluation and predictive analysis from large-scale tweets on Covid-19 by deep convolutional neural network”. Evolutionary Intelligence, (2021) 14, 1 (1-22). DOI: https://doi.org/10.1007/s12065-021-00598-7.

4. Sourav Das, Dipankar Das, & Anup Kumar Kolya, “Sentiment classification with GST tweet data on LSTM based on polarity-popularity model”. Sādhanā 45, 140 (2020), Springer. DOI: https://doi.org/10.1007/s12046-020-01372-8.

5. Sourav Das, and Anup Kumar Kolya, "Detecting Generic Music Features with Single Layer Feedforward Network using Unsupervised Hebbian Computation." International Journal of Distributed Artificial Intelligence (IJDAI) 12, no. 2 (2020): 1-20. DOI: 10.4018/IJDAI.2020070101.

1. Can Large Language Models Act as Literature Companions? at Large Language Models Research Group (LaRGo), Indian Institute of Science Education & Research (IISER) Kolkata, 2024-2025.

2. Detecting Behavioral Maladjustments of Students Through Sentiment Analysis from Social Media, at Dept. of Computer Science and Engineering, Jadavpur University, Kolkata, 2018-2019.

MACM, MIEEE, Alan Turing Institute (UK), Member of SCRC

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