Abhinav Singh
PhD Scholar
Department of Forensic Science Center for Artificial Intelligence in Medicine, Imaging Forensics
Sharda School of Allied Health Sciences
Contact Information
Area of Interest
Forensic Science, Digital & Cyber Forensics, Audio Forensics, Artificial Intelligence
Biography
Abhinav Singh is a Forensic Expert and Research Scholar pursuing his Ph.D. in Forensic Acoustics, specializing in AI-based systems for forensic applications. He currently works as a Training Assistant at the Center for Artificial Intelligence in Medicine, Imaging & Forensics, providing training on NVIDIA DGX H100 systems. His research combines machine learning and deep learning to advance forensic methods. With experience in over 50 court cases, his expertise covers Crime Scene Investigation, Questioned Documents, Fingerprint Analysis, Audio & Video Authentication, Digital Forensics, and Key Examination. He successfully led an audio authentication case for Al Jazeera Networks using tools like Praat, Gold Wave, and Audacity. His academic work includes 8+ publications (book chapters, research papers, and review articles) featured in Scopus Indexed Journals, UGC-Care listed journals, PubMed, and Research Gate. He has qualified in national examinations including UGC-NET (2022), Forensic Aptitude and Caliber Test (FACT-2022), and Forensic Aptitude and Caliber Test PLUS (FACTPLUS-2024).