Md Sahidullah

Assistant Professor, IAI

Md Sahidullah (also known as Sahid) is an Assistant Professor in the Artificial Intelligence and Machine Learning group at the Institute for Advancing Intelligence, TCG CREST. His expertise lies in applying the principles and theories of machine learning and speech processing to diverse application areas. His focus includes addressing challenges in privacy and security for speech communication, leveraging audio analytics for healthcare purposes, and advancing the capabilities of voice-activated devices. He possesses over nine years of post-qualification experience in the field of speech & audio processing.

Sahid earned his Ph.D. in speech processing from the Department of Electronics & Electrical Communication Engineering at the Indian Institute of Technology Kharagpur in 2015. He holds a Bachelor of Engineering degree in Electronics and Communication Engineering from Vidyasagar University (2004) and a Master of Engineering degree in Computer Science and Engineering from the West Bengal University of Technology (2006). He worked as a postdoctoral researcher at the School of Computing, University of Eastern Finland from 2014 to 2017. Following that, he joined Inria Nancy – Grand Est, France, in January 2018, where he held a Starting Researcher Position with the MULTISPEECH team until August 2021. He participated in various Finnish, French, and European projects. Since 2017, he has been co-organizing Automatic Speaker Verification Spoofing and Countermeasures Challenges (ASVspoof), the leading audio deepfake detection challenge. He has served on technical program committees for leading speech and signal processing-related conferences, such as ICASSP and INTERSPEECH. He is currently an editorial board member of the Computer Speech & Language. In the past, he served on the editorial teams for IET Signal Processing, Frontiers in Neuroscience, and Circuits, Systems, and Signal Processing.

Sahid has published more than 100 research articles related to speech processing and has an h-index of 38. For further information about his research, please visit: