T. Debnath, M.N.A. Siddiky, M.E. Rahman, P. Das, A.K. Guha, M.R. Rahman, and H.M. Dipu Kabir, "A comprehensive survey of prompt engineering and context engineering techniques in large language models," Computer Science Review. (2026) 1–53, early access, doi: https://doi.org/10.1016/j.cosrev.2026.100979.
T. Debnath, A. Adhikary, M. B. Hossain, Y. Qiao, M. Gain, A. D. Raha, and A. Rahaman, "Intelligent Resource Allocation for Holographic MIMO-based 6G Networks: A Deep Learning Framework," 2025 IEEE 2nd Int. Conf. on Comput., Appl. and Syst. (COMPAS), Kushtia, Bangladesh, 2025, pp. 1-6, doi: 10.1109/COMPAS67506.2025.11381805.
T. Debnath, and M. M. Rahman, M.S. Ahsan, M.A. Hossain, A. Rahaman, and Y. Qiao,and A. Apurba and C.S. Hong, Towards Explainable AI: A Deep Learning Approach for Resource Allocation in Holographic MIMO-Aided 6G Networks. Physical Communication (Under Review)
T. Debnath, P. Das, M. Rahaman, M. B. Hossain, A. K. Bairagi, and A. Adhikary, "An Explainable Hybrid CNN-Vision Transformer Framework for Lung Cancer Classification on LungHist700," 2026 IEEE 2nd Int. Conf. on Quantum Photon., Artif. Intell. & Netw. (QPAIN)), Accepted
T. Debnath, A. Adhikary, S. J. Soheli , M. S. Ahsan , A. D. Raha , Y. Qiao , M. A. Hossain , A. Rahaman, "Deep Learning for High-Fidelity Mpox Classification: From Data to Diagnosis," 2026 IEEE 2nd Int. Conf. on Quantum Photon., Artif. Intell. & Netw. (QPAIN)), Accepted
M. Rahaman, A. Adhikary, T. Debnath, Y. Qiao, S. S. Hassan, M. S. Ahsan, W. Saad, D. Niyato, Z. Han, and C. S. Hong, ISAC Meets LLMs: Advancing from Sensing to Reasoning with Foundation Models and Flexible Intelligent Metasurfaces. IEEE Commun. Surveys & Tutorials, under review