Alumni

Dr. Najuk Parekh

Research Areas :- Dysarthric Speech Enhancement and Speech Quality and Intelligibility Assessment

Dr. Najuk Parekh has been a Postdoctoral Researcher at Dhirubhai Ambani University (DAU) since February 2026. She received her Ph.D. and M.E. degrees from Gujarat Technological University, Gujarat, and her B.E. degree from R. C. Patel Institute of Technology, North Maharashtra University, Shirpur, Maharashtra. Her research interests include speech signal processing, with a particular focus on dysarthric speech enhancement and the assessment of speech quality and intelligibility using signal-processing and deep-learning techniques.

Dr. Guman Kanwar Shekhawat

Research Areas:- TBD

Dr. Guman Kanwar Shekhawat is a Post-Doctoral Fellow (since February 2026) at Dhirubhai Ambani University under Professor (Dr.) Hemant A. Patil for The Meity Funded Govt. Project NLTM-Bhashini 1.0. She has completed her Ph.D. from Malaviya National Institute of Technology, Jaipur (MNIT, Jaipur) with specialization in Wireless Communication and 5G-NOMA based modelling in Cognitive Radio in 2025. She has published two SCI, Scopus indexed journal and five IEEE conferences papers and one best paper award by IIT-Patna. She has completed her M. Tech from Laxmi Niwas Mittal Institute of Information and Technology (LNMIIT, Jaipur) and B.Tech from RTU Kota. The research interest includes signal processing based algorithm design in speech communication, dysarthria severity classification, wireless communication, spectrum sensing modeling, 5G CD-NOMA. She has qualified UGC-NET and GATE-2014 and awarded UGC-scholarship.

Mr. Ravindrakumar M. Purohit

Thesis:- TBD

He is a Ph.D. candidate at Dhirubhai Ambani University, working in speech and language technology. He completed my B.E. from Gujarat Technological University and my M.Tech. from Nirma University. He loves learning about and exploring speech synthesis, text-to-speech, voice conversion, and conversational AI. His research focuses on developing efficient speech systems for low-resource Indic languages in order to create inclusive voice technologies that make human–computer communication more natural and accessible.

Mr. Arth J. Shah

Thesis:- TBD

I am a PhD researcher in Speech AI at Dhirubhai Ambani University (DAU, formerly DA-IICT), Gandhinagar, working under Prof. Patil, primarily on audio deepfake detection, attribution, and forensics. My research interest lies in bridging classical signal processing with modern deep learning to build robust, generalizable, and explainable systems for detecting synthetic and manipulated speech across languages, generators, and real-world conditions. I have authored over 20 publications in venues including IEEE Signal Processing Letters, Speech Communication, INTERSPEECH, ICASSP, and APSIPA, spanning contributions such as wavelet-integrated neural architectures (WIN), Kolmogorov-Arnold Networks for voice liveness detection, and multilingual benchmark datasets like MLADDC and SingFox. Beyond deepfake detection, my work extends to broader speech topics such as, infant cry classification, dysarthric speech analysis, spoken language identification, and hearing-aid noise reduction. I previously interned at Samsung Research Institute Bangalore (SRI-B), where I worked on real-time voice liveness detection, and have collaborated on projects under the National Language Translation Mission (NLTM) and Samsung PRISM. I am an IEEE Student Member (and SPS member), ISCA member, and a recipient of the 1st position at ICASSP MSP Cup 2024, alongside a research grant from various conferences such as, ICPR 2024, APSIPA 2025, and INDOML 2025. Outside the lab, I am an accomplished sports person with multiple national and international medals spacing across various sports.

Mr.  Dharmendra H. Vaghera

JRF

Mr.  Aniket Pandey

2024-Present

Ms.  Vishnu Vardhan G V S

2024-Present

Dr. Ankur Patil

Thesis:- Speaker Recognition

Ankur Patil is a Ph.D. student (since July-2016) at DA-IICT. He completed his masters from K. K. Wagh Institute of Engineering Education & Research, Nashik (Maharashtra) & B.E. from D.N.Patel College of Engineering, Shahada (Maharashtra). His research interest focuses on the application of speech signal processing and deep learning aspects, for the development of a countermeasure system against spoofing attacks in voice biometric. He also worked in various speech technology applications such as dysarthric speech enhancement and its severity level classification, Automatic Speech Recognition, and infant cry analysis.

Dr. Priyanka Gupta

Thesis:- Anti-spoofing for voice biometric systems

Ms. Priyanka Gupta is a Ph.D. student (since July-2017) at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT, Gandhinagar). She completed M. Tech. from Laxmi Niwas Mittal Institute of Information and Technology (LNMIIT, Jaipur) in 2017. Her research interest is in the protection of voice biometrics systems from spoofing attacks (specifically replay attacks and liveness detection), using signal processing based approaches in tandem with deep learning.

Dr. Madhu Kamble

Thesis:- Analysis of Spoofing with Signal processing

Ms. Madhu Kamble was a Ph.D. student at DA-IICT, Gandhinagar.  She did her M. Tech. from Cummins College of Engineering, Pune, Maharashtra in the year 2015 in Signal Processing engineering and B.Tech from P.V.P.I.T, Budhgaon, Sangli, Maharashtra in the year 2012. She has been awarded Rajiv Gandhi National Fellowship (RGNF) for her doctoral studies. Her research interest is in the Analysis of Spoofing with Signal processing aspects.

Dr. Nirmesh J. Shah 

Thesis:- Voice Conversion: Alignment and Mapping Perspective

Mr.Nirmesh J.Shah was a Ph.D. student (since January 2014) and senior research assistant at DeitY TTS sponsored consortium project at DA-IICT (Since June 2012). He completed his M.Tech in Information Communication Technology (ICT) from DA-IICT, Gandhinagar, in 2013. His research areas include voice conversion, Text-to-Speech Synthesis and Speech Recognition.

Mr. Hardik B. Sailor 

Thesis:- Analysis of Spoofing with Signal Processing

Hardik B.Sailor  was a Ph.D. student (since January 2013) and senior research assistant at DeitY TTS sponsored consortium project at DA-IICT (June 2012 to Present). He completed his M.Tech in Information and Communication Technology (ICT) from DA-IICT, Gandhinagar, in 2013. His research areas include Deep Architectures, Automatic Speech Recognition (ASR) and Text-to-Speech Synthesis (TTS).

Dr. Maulik C.Madhavi 

Thesis:- Speech  Recognition and Spoken Term Detection

Dr. Maulik C. Madhavi was a PhD student at DA-IICT. He completed his M. Tech from DA-IICT, Gandhinagar in 2011. He had been a senior research assistant at DeitY sponsored consortium project at DA-IICT from 2012-2014. His research areas include audio search engine, speech segmentation, pattern recognition and humming-based speaker recognition. July 2012-Nov 2017 Completed.

Dr. Tanvina B. Patel

Thesis:- Design of Countermeasures for Spoofed Speech Detection System

Dr. Tanvina B.Patel was a PhD student and senior research assistant at DeitY TTS sponsored consortium project at DA-IICT, Gandhinagar. She completed her Masters from L.D. College Engineering, Ahmedabad. Her research interests include analysis of nonlinearities in speech signal processing, Text-to-speech synthesis and analysis of natural and synthetic speech using prosodic features. July 2012-April 2017 Completed.

Dr. Anshu Chittrora

Thesis:- Crying For a Reason: A Signal Processing Based Approach for Infant Cry Analysis and Classification

Dr. Anshu Chittora was a PhD student at DA-IICT, Gandhinagar.  She did her M. Tech. from Malviya National Institute of Technology, Jaipur, Rajasthan in the year 2007 in communication engineering. She has 9 years of teaching experience. Her research interests are infant cry analysis, pattern classification and ASR. Jan.2011-Jan.2017 Completed.