Ms. Nausheen is at the early stage of her research career, currently pursuing a Ph.D. in Biomedical Signal Processing. She holds an M.Tech. in Instrumentation & Control (2019), a B.E. in Electrical Engineering (2017), and a Diploma in Computer Science (2011). She has qualified the UGC-NET in Electronic Science, affirming her eligibility for Assistant Professorship. Her research interests include EEG signal analysis, machine learning, and cognitive neuroscience, with her first journal publication focusing on EEG-based brain networks for depression detection. She has also presented her work at reputed international conferences, earning Best Paper Awards at REEDCON-2023 and ICETIT-2019. Actively engaged in skill development, she has attended workshops on deep learning, computational neuroscience, and digital healthcare technologies, reflecting her commitment to interdisciplinary innovation and academic excellence.​