Jana, D. K., Mandal, S., & Roy, S. (2026). Grape leaf doctor: Severity assessment of grape black measles via DeepLabV3+ segmentation and interval type-2 fuzzy logic. International Journal of Engineering and Manufacturing (IJEM), 16(5), 92–105. [https://doi.org/10.5815/ijem.2026.05.05] (Scopus )

Ghosh, S., Mandal, S., Basak, R., Prasad, D. K., & Sekh, A. A. (2026). Dual stream adaptive sequential recommendation. Discover Artificial Intelligence, 6, 1201. https://doi.org/10.1007/s44163-026-02282-0 (Scopus-Q1).

Pattanaik, B., Mandal, S., Tripathy, R. M., Prasad, D. K., & Sekh, A. A. (2026). A topic-driven local interpretable model for explainable rumor detection on social media. Discover Computing, 29(1), 425 (SCIE, Scopus).

Chakraborty, B., Mukherjee, R., & Mandal, S. (2025). Convolutional block attention-based deep neural network for mushroom classification. Discover Artificial Intelligence, 5(1), 252 (Scopus).

Mondal, S., Chakraborty, B. & Mandal, S. Deep learning-based kinship verification: a comprehensive survey. Prog Artif Intell (2025). https://doi.org/10.1007/s13748-025-00402-y (ESCI, Scopus)

Mondal, S., Khatua, D., Mandal, S., Prasad, D. K., & Sekh, A. A. (2025). BMWP: the first Bengali math word problems dataset for operation prediction and solving. Discover Artificial Intelligence, 5(1), 1-15. (Scopus)

B. Pattanaik, S. Mandal, R. M. Tripathy, A. A. Sekh (2025) Ensemble approach to rumor detection with BERT, GPT, and POS features, International Journal of Informatics and Communication Technology (IJ-ICT) Vol. 14, No. 1, April 2025, pp. 276∼286 ISSN: 2252-8776, DOI: http://doi.org/10.11591/ijict.v14i1.pp276-286 (Scopus)

Pattanaik, B., Mandal, S., Tripathy, R. M., & Sekh, A. A. (2024). Rumor detection using dual embeddings and text-based graph convolutional network. Discover Artificial Intelligence, 4(1), 86 (Scopus).

Das, S., Mandal, S., & Basak, R. (2023). Spam email detection using a novel multilayer classification-based decision technique. International Journal of Computers and Applications, TJCA, T & F, 45(9), 587-599. DOI: https://doi.org/10.1080/1206212X.2023.2258328 (Scopus).

Pattanaik, B., Mandal, S. & Tripathy, R.M.(2023). A survey on rumor detection and prevention in social media using deep learning. Knowl Inf Syst, 65, 3839–3880, https://doi.org/10.1007/s10115-023-01902-w (SCIE, Scopus)

Mondal, A., Sardar, A., Basak, R., & Mandal, S. (2022). A Novel Mask R-CNN based Approach to Brain Tumour Detection. International Journal of Intelligent Systems and Applications in Engineering, 10(3), 108-115 (Scopus).

Chowdhuri, S., Barui, S., Mondal, S., Mandal, S., & Neogi, B. (2022). Sensing a Physical Object Gripping using Haptic Technology and Machine Learning Algorithms. Romanian Journal of Information Technology and Automatic Control, 32(2), 93–104. https://doi.org/10.33436/v32i2y202207 (ESCI)

Acharya, S., Mandal, S., & Basak, R. (2022). Solving Arithmetic Word Problems Using Natural Language Processing and Rule-Based Classification. International Journal of Intelligent Systems and Applications in Engineering, 10(1), 87–97. https://doi.org/10.18201/ijisae.2022.271 (Scopus)

Mandal, S., & Naskar, S. K. (2021). Classifying and Solving Arithmetic Math Word Problems—An Intelligent Math Solver. IEEE Transactions on Learning Technologies, 14(1), 28-41 (SSCI, SCIE, Scopus).

Mandal, S., Sekh, A. A., & Naskar, S. K. (2020). Solving arithmetic word problems: A deep learning based approach. Journal of Intelligent & Fuzzy Systems, 39(2), 2521-2531.

Mandal, S., & Naskar, S. K. (2019). Solving arithmetic word problems by object oriented modeling and query-based information processing. International Journal on Artificial Intelligence Tools, 28(04), 1940002.

Roy, A., Guria, S., Halder, S., Banerjee, S., & Mandal, S. (2018). Summarizing opinions with sentiment analysis from multiple reviews on travel destinations. International Journal of Synthetic Emotions (IJSE), 9(2), 111-120.

Mandal, S., Chatterjee, S., & Neogi, B. (2013). Diagnosis and troubleshooting of computer faults based on expert system and artificial intelligence. International Journal of Pure and Applied Mathematics, 83(5), 717-729.

Neogi, B., Mandal, S., Banerjee, S., Das, A., & Tibarewala, D. N. Design of Prosthetic Arms Control Transfer Function with the Analysysis in Digital Domain Inroducing Simulation Aspect. International J. of Engg. Research & Indu. Appls.(IJERIA), 3, 261-274.

R. Nath et al., "BERT-based Fake Odia news detection on Social media," 2026 1st International Conference on Emerging Trends in Advancements and Applications of Computational Intelligence Techniques (ETAACT), Bhubaneswar, India, 2026, pp. 1-6, doi: 10.1109/ETAACT69135.2026.11541782.

Sikdar, Ranojay & Mandal, Sourav & Panigrahi, Smrutirekha & Lakra, Sahil & Bhattacharya, Subhajit. (2025). Understanding Multimodal Memes: A Dataset and Sentiment Classification on Product Branding. 1-6. 10.1109/ICAIET65052.2025.11211293. doi: 10.1109/ICAIET65052.2025.11211293.

Hussain, A., Basak, R., & Mandal, S. (2023, April). Deep Learning-Based Multiple Detection Techniques of Covid-19 Disease From Chest X-Ray Images Using Advanced Image Processing Methods and Transfer Learning. In Analytics Global Conference (pp. 65-82). Cham: Springer Nature Switzerland. (Scopus)

Acharyya, S., Mandal, S., & Basak, R. (2023). Residual Convolutional Neural Network Models for COVID-19 Detection from Chest X-Ray: A Comparative Study. In International Conference on Communication, Devices and Computing (pp. 69-81). Singapore: Springer Nature Singapore (Scopus).

, 2017, Natural Language Programing with Automatic Code Generation towards Solving Addition-Subtraction Word Problems.,

, 2017, Towards generating object oriented programs automatically from natural language texts for solving mathematical word problems.,

, 2012, An Algorithm for Construction of Highly Infectious cDNA Colons.,

Tilak Mukherjee, 2015, Performance Analysis of Integer Wavelet Transform in Image, LAP, Germany

Adhikary, S., Mandal, S., & Chakraborty, B. (2026, May). Can We Predict a Penalty Kick? Using Deep Learning and a Comprehensive. In Proceedings of 5th International Conference on Frontiers in Computing and Systems: COMSYS 2024, Volume 3 (Vol. 3, p. 199). Springer Nature.

Pattanaik, B., Mandal, S., Tripathy, R.M., Sekh, A.A. (2026). Explainable Rumor Detection Using Topic Modeling. In: Kole, D.K., Saha, S., Basu, S., Górecki, P., Bhattacharjee, D. (eds) Proceedings of 5th International Conference on Frontiers in Computing and Systems. COMSYS 2024. Lecture Notes in Networks and Systems, vol 1488. Springer, Singapore. https://doi.org/10.1007/978-981-96-8309-3_20

Pattanaik, B., Mukherjee, P., Mandal, S., Basak, R., & Tripathy, R. M. (2023, November). MythBuster: A Comparative Analysis of Few Machine Learning and Deep Learning Models for Fake News Detection. In International Conference on Computational Technologies and Electronics (pp. 184-195). Cham: Springer Nature Switzerland. (Scopus)

Pal, S., Mandal, S., & Basak, R. (2023). Classification of Texts with Emojis to Classify Sentiments, Moods, and Emotions. In International Conference on Mathematics and Computing (pp. 275-291). Singapore: Springer Nature Singapore (Scopus).

Harh, S., Mandal, S., Giri, D. (2023). Detection and Classification of Cyber Threats in Tweets Toward Prevention. In: Bhattacharyya, S., Koeppen, M., De, D., Piuri, V. (eds) Intelligent Systems and Human Machine Collaboration. Lecture Notes in Electrical Engineering, vol 985. Springer, Singapore. https://doi.org/10.1007/978-981-19-8477-8_8 (Scopus).

Patra, D., Jana, B., Mandal, S., & Sekh, A. A. (2022). Understanding Fake News Detection on Social Media: A Survey on Methodologies and Datasets. In International Symposium on Artificial Intelligence (pp. 226-242). Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-22485-0_21 (Scopus)

Mandal, S., Sekh, A. A., & Naskar, S. K. (2022, March). Identification of Relevant Quantities in Arithmetic Word Problems Using Siamese Neural Network. In Proceedings of the Seventh International Conference on Mathematics and Computing: ICMC 2021 (pp. 415-426). Singapore: Springer Singapore (Scopus).

Debargha Bhattacharjee, 2020, Recent Advances in Intelligent Information Systems and Applied Mathematics: ICITAM 2019, Studies in Computational Intelligence Series (2020), Vol. 863 (Scopus), Springer, Germany.

Sourav Mandal, 2018, Information Technology and Applied Mathematics: ICITAM 2017, Springer AISC Vol. 699 (2018) (Scopus), Springer, Germany.