Scholar
Sandeep Nagar
Google Scholar ID: MQQy_T4AAAAJ
PostDoc, TU Munich
Citations & Impact
Citations
35
H-index
3
i10-index
2
Publications
17
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Started Postdoctoral position at AI-IDT Lab, TU Munich in July 2025; Selected for the “COSPAR Outstanding Paper Award for Young Scientists, 2024” in April 2025; Awarded ACM India-IARCS travel grant for attending AISTATS'2025 in February 2025; 'Inverse-Flow' accepted at AISTATS'2025 in January 2025; Paper accepted at ICPR'24, Competition on Safe Segmentation in September 2024; Secured 1st Place in NVIDIA Competitions, ICETCI'2023 in August 2023; Secured 1st place at C4MTS CHALLENGE, NCVPRIPG 2023 in June 2023; Won Cash Prize Hackathon, ML4Science 2023 in March 2023.
Research Experience
- Interned at Samsung Research, working with Dr. Sathya Reddy and Dr. Pravin Nair on Generative Models for Image Super-Resolution; Interned at CVR Lab, UIUC, under the guidance of Prof. Narendra Ahuja in collaboration with Dr. David Beiser and Dr. David Chestekat; Interned at School of Mathematics and Statistics, UNSW, Sydney, under the guidance of Prof. Rohitash Chandra and Dr. Ehsan Farahbakhsh.
Education
- PhD in Computer Science from IIIT-Hyderabad, India, under the guidance of Prof. Girish Varma; B.Tech in Computer Science & Engineering from Harcourt Butler Technological University - Kanpur, India.
Background
- Final-year PhD student at the Machine Learning Lab, focusing on Probabilistic Generative Models (Normalizing Flows), Theoretical Machine Learning, and Deep Learning with applications in Computer Vision.
Miscellany
- Passionate about building and developing innovative ML solutions; An avid reader; Check out his collection of intriguing novels on Goodreads.
Co-authors