IAI

Md Sahidullah (Sahid) is an Assistant Professor at the Institute for Advancing Intelligence, TCG CREST. His expertise lies in applying the principles and theories of machine learning and speech processing across diverse application domains. He has over ten years of post-qualification experience in speech and audio processing. His research interests include (i) security and privacy in speech communication, (ii) speech analytics, and (iii) speech-based healthcare applications. In addition to algorithm and tool development in these areas, he is actively involved in dataset design, bias assessment, and the mitigation of biases to ensure fair evaluation and benchmarking. Alongside his primary research interests in speech and audio processing, he continually advances his expertise in supervised and unsupervised representation learning, mathematics for machine learning, probabilistic machine learning, computational learning theory, and information geometry through teaching, self-training, and engagement in advanced academic and professional programs.

Sahid earned his Ph.D. in speech processing from the Department of Electronics and Electrical Communication Engineering at the Indian Institute of Technology Kharagpur in 2015. He received his Bachelor of Engineering in Electronics and Communication Engineering from Vidyasagar University in 2004 and his Master of Engineering in Computer Science and Engineering from the West Bengal University of Technology in 2006. He worked as a postdoctoral researcher at the School of Computing, University of Eastern Finland (2014–2017). He then joined Inria Nancy – Grand Est, France, in January 2018 with the MULTISPEECH team, where he worked as a Researcher until August 2021. During his tenure in Europe, he contributed to several national and European research projects in Finland and France. Since 2017, he has been co-organizing the Automatic Speaker Verification Spoofing and Countermeasures (ASVspoof) Challenges, the leading international challenge series on audio deepfake detection. He has served on the technical program committees of major speech and signal processing conferences, including ICASSP and INTERSPEECH. He is currently an editorial board member of IEEE Transactions on Audio, Speech, and Language Processing (TASLPRO), Computer Speech & Language (CSL), and the IEEE Journal of Biomedical and Health Informatics (JBHI). Previously, he served on the editorial boards of IET Signal Processing, Frontiers in Neuroscience, and Circuits, Systems, and Signal Processing.

Sahid is engaged in teaching and curriculum development, offering courses such as Machine Learning, Signal Processing for Machine Learning, and Deep Learning. He has guided several interns and continues to supervise and mentor PhD students.

Sahid has published over 100 research articles in the field of speech processing. He believes that bibliometric indicators offer only a limited perspective on the true value of scientific contributions, although his publications have received around 10,000 citations with an h-index of 44 on Google Scholar. Further details about his research can be found at: https://sahidullahmd.github.io/.