About

Anurag Chowdhury is a highly skilled Ph.D. candidate at Michigan State University with over 4 years of relevant experience in the fields of Computer Science, Research, and Deep Learning. His current position is as a Graduate Research Assistant at Michigan State University, where he has developed deep learning-based algorithms for performing speaker recognition in non-ideal audio conditions, such as background noise, acoustic reverberation, short utterance duration, and multi-lingual speech. He has also developed a deep learning-based Artificial Speech Synthesizer for enabling an AI-based Conversational News Broadcasting agent. Additionally, he has worked on data collection for the MSU-AVIS indoor audio-visual dataset for studying the effect of biometric fusion of face and voice modalities on person recognition in indoor surveillance scenarios. Anurag has also worked on the design and prototype of a biometric-based lock mechanism for securing access to opioid medicine bottles. Anurag has previously worked as a Graduate Student at IIIT Delhi, where he collected a video face dataset using Microsoft Kinect for over 100 subjects, shot in unconstrained outdoor and indoor conditions, for enabling face recognition research in RGBDI imagery. He also proposed a deep learning-based 3D face representation learning system from input RGB-D image data for performing RGB-D face recognition. Before that, he worked as a Software Engineer at CenturyLink, where he proposed and developed an 'Automatic Ticket Management System' for automatically assigning maintenance tickets to developers based on their past experience and current expertise in resolving different types of tickets. He also worked on the product development of Ensemble Billing System, CSM module, using Java, C/C++, SQL, UNIX shell scripting, and worked on the delivery of five product deployment cycles for Ensemble CSM. Anurag holds a Doctor of Philosophy (PhD) degree in Computer Science from Michigan State University, a Master of Technology (MTech) degree in Computer Science from IIIT Delhi, and a Bachelor of Engineering degree in Instrumentation and Control from NSIT. He is proficient in various technologies, including Research Scientist, Deep Learning, AI, SQL, Software Engineer, Java, and C. Anurag is a highly motivated individual with a passion for research and development in the field of Computer Science, and he is always looking for new challenges and opportunities to grow and expand his skillset.