About me
I am currently a Software Engineer at Google DeepMind on the Gemini post-training team, where my work centers on pushing the state-of-the-art in agentic large language models.
I earned my Ph.D. in 2024 from the University of Maryland, College Park in Computer Science, under the advisement of advised by Prof. Amitabh Varshney. My doctoral research culminated in the dissertation, Efficient Rendering, Display, and Compression Techniques for Virtual and Augmented Reality. Prior to my doctoral studies, I earned a dual degree (B.Tech Honors & M.Tech) in Computer Science and Engineering from IIT Kharagpur.
Experience
- Google, Mountain View, CA – June-Aug 2023, June-Aug 2022
- Mitsubishi Electric Research Laboratories, Cambridge, MA – May-Aug 2021
- Sprinklr, Gurgaon, India – July 2017-June 2018
- Xerox Research Center India, Bengaluru, India – May-July 2016, May-July 2015
Publications
VEMIC: View-aware Entropy model for Multi-view Image Compression
Susmija Jabbireddy, Davit Soselia, Max Ehrlich, Christopher Metzler, Amitabh Varshney
BMVC 2024
Holocamera: Advanced volumetric capture for cinematic-quality VR applications
Jonathan Heagerty, Sida Li, Eric Lee, Shuvra Bhattacharyya, Sujal Bista, Barbara Brawn, Brandon Y. Feng, Susmija Jabbireddy, Joseph JaJa, Hernisa Kacorri, David Li, Derek Yarnell, Matthias Zwicker, Amitabh Varshney
IEEE TVCG 2024
Instant-SFH: Non-Iterative sparse Fourier holograms using perlin noise
David Li, Susmija Jabbireddy, Yang Zhang, Christopher Metzler, Amitabh Varshney
Sensors 2024
Accelerated Volume Rendering with Volume Guided Neural Denoising
Susmija Jabbireddy, Shuo Li, Xiaoxu Meng, Judith E. Terrill, Amitabh Varshney
EuroVis 2023.
VIINTER: View Interpolation With Implicit Neural Representations of Images
Brandon Y. Feng, Susmija Jabbireddy, Amitabh Varshney
SIGGRAPH Asia, 2022
Sparse Nanophotonic Phased Arrays for Energy-Efficient Holographic Displays
Susmija Jabbireddy, Yang Zhang, Martin Peckerar, Mario Dagenais, Amitabh Varshney
IEEE VR 2022
Rectangular Mapping-based Foveated Rendering
Jiannan Ye, Anqi Xie, Susmija Jabbireddy, Yunchuan Li, Xubo Yang, Xiaoxu Meng
IEEE VR 2022
Foveated Rendering: Motivation, Taxonomy, and Research Directions
Susmija Jabbireddy, Xuetong Sun, Xiaoxu Meng, Amitabh Varshney
arXiv 2022
Improved Modeling of 3D Shapes with Multi-view Depth Maps
Kamal Gupta*, Susmija Jabbireddy*, Ketul Shah*, Abhinav Shrivastava, Matthias Zwicker
3DV 2020 (Oral presentation)
Task-Specific Representation Learning for Web-Scale Entity Disambiguation
Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti
AAAI 2018
Extraction of medically interpretable features for classification of malignancy in breast thermography
Himanshu Madhu, Siva Teja Kakileti, Krithika Venkataramani, Susmija Jabbireddy
EMBC 2016