Md. Nahid Hossain

Professional Summary

Md. Nahid Hossain is a Lecturer in the Department of Computer Science and Engineering (CSE) at the Bangladesh University of Business and Technology (BUBT), Dhaka. He is an early-career academic and researcher with a strong background in machine learning, deep learning, and signal processing, and a growing record of scholarly publications in reputable international journals. Mr. Hossain completed his B.Sc. and M.Sc. in Computer Science and Engineering from Islamic University, Bangladesh, securing 2nd position in the order of merit in both degrees. His academic excellence has been recognized through multiple merit-based scholarships. His M.Sc. thesis focused on supervised single-channel speech enhancement using deep learning (U-Net), reflecting his strong interest in data-driven approaches to real-world signal processing problems. His research interests primarily include speech enhancement and denoising, biomedical signal processing, machine learning, and deep learning–based analysis techniques. He has authored and co-authored several peer-reviewed journal articles published in SCIE- and Scopus-indexed journals, including Computers and Electrical Engineering, Arabian Journal for Science and Engineering, and Electronics, demonstrating his capability to conduct high-quality, publishable research. As a faculty member, he is actively involved in teaching undergraduate CSE courses, preparing lesson plans, evaluating student performance, and mentoring students in programming, software applications, and applied computing topics. He is proficient in Python, MATLAB, Java, R, and modern deep learning frameworks such as TensorFlow and Keras, with hands-on experience in Linux-based research environments. Mr. Hossain is committed to continuous professional development, interdisciplinary research, and student-centered teaching, with the long-term goal of contributing to impactful research and quality higher education in computer science and engineering.