I am Sreyan Ghosh. I am currently a 2nd year Ph.D. in C.S. student at the University of Maryland, College Park (UMCP). At UMCP, I work under the guidance of Prof. Dinesh Manocha at Gamma Lab on resource-efficient deep learning. I apply my research to various problems in speech, language and audio processing.

Previously, I served as a Deep Learning Solutions Architect at Nvidia, Bangalore. My primary work at Nvidia involved building and delivering deep learning based NLP solutions to Nvidia’s customers and partners. Previous to that, I served as a Software Engineer II at Cisco Systems, Bangalore. My primary work at Cisco involved building network assurance software systems for Cisco’s Service Provider customers. Beyond Software Engineering, I am interested in Speech and Language Processing.

I have been fortunate to have worked with Prof. S. Umesh at Speech Lab @ Indian Institute of Technology Madras on making self-supervised learning in speech and audio more amenable to resource-constrained scenarios (both data and compute). I have also worked with Prof. Rajiv Ratn Shah at MIDAS Labs @ IIIT Delhi on content moderation, complex named entity recognition and speech recognition systems for low-resource Indian languages and Indian-accented English.

I graduated with a Bachelor’s in Computer Science and Engineering at Christ University in 2020. During my undergraduate studies, I served as the Vice President and co-founder of Neuron, Christ University’s first AI group focused on research and hackathons. During my undergraduation, I have won over 20 national and international hackathons.

I maintain a list of my publications and research implementations under the Research tab. I also blog about my personal experiences and topics related to speech and text processing. I am always open to collaborations, and please feel free to drop me a mail!

CV / Resume: link
Email ID: gsreyan@gmail.com ; sreyang@umd.edu

Updates

March 2024:2 papers accepted to ACL 2024!
March 2024:1 paper accepted to ICML 2024!
March 2024:2 papers accepted to NAACL 2024!
Feb 2024:1 paper accepted to CVPR 2024!
Jan 2024:1 paper accepted to ICLR 2024!
Dec 2023:Awarded the UMD graduate school's Outstanding RA Award!
Dec 2023:3 papers accepted to ICASSP 2024! Details under the research section.
Dec 2023:Attended EMNLP 2023 in-person in Singapore!
Oct 2023:2 papers accepted to EMNLP 2023! Details under the research section.
Oct 2023:Attended ICCV 2023 in-person in Paris!
Oct 2023:Attended InterSpeech 2023 in-person in Dublin!
May 2023:Our paper was accepted to ICCV 2023!
May 2023:Started as a Research Scientist Intern at Adobe Research!
May 2023:Our paper was accepted to Interspeech 2023!
Apr 2023:Our paper was accepted to ACL 2023!
Apr 2023:Our paper was accepted to SIGIR 2023!
Mar 2023:Serving as a reviewer for Interspeech 2023!
Feb 2023:I got admitted to the C.S. Ph.D. program at UMD! I will be starting in the Fall of 2023!.
Feb 2023:3 papers accepted to ICASSP 2023! Pre-prints under the research section.
Feb 2023:Serving as a reviewer for ACL 2023!
Jan 2023:Submitted one paper to ACL 2023!
Jan 2023:Our team Shravan won the Best Demo Implementation award at the 2022 IEEE-SLT Code Hackathon! Links to slides and recording of the presentation to be posted soon under the Others tab.
Jan 2023:Served as a reviewer for AAAI 2023 Muffin Workshop.
Dec 2022:Served as a reviewer for ICASSP 2023.
Nov 2022:Served as a reviewer for AAAI 2023.
Oct 2022:4 papers submitted to IEEE ICASSP 2023! Pre-print and codes to be made available soon!
Sept 2022:2 papers accepted to IEEE SLT 2022! Pre-print and code now available!
Aug 2022:Paper on low-resource audio representation learning accepted to IEEE JSTSP Special Issue! More details under the research section!
Aug 2022:Moved to the beautiful city of College Park and started school at the University of Maryland!
July 2022:Started contributing to GSoC 2022 for the Keras Organization. More details about my project can be found in the Projects section!
July 2022:2 papers accepted to Interspeech 2022! Pre-print and codes now available now!
Dec 2021:Paper on Low-Resource Audio Representation Learning accepted to AAAI 2022 SAS Workshop! Pre-print now available under research section!