Shuvra S. Bhattacharyya
Professor
Develops dataflow-based design methods and tools for embedded signal processing and machine learning systems.
Shuvra S. Bhattacharyya's lab at UMD works on generative & foundation models, signal processing & information theory and speech enhancement & signal processing. 14 papers since 2023, 1 at top venues, mostly CVPR and ICIP.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 7%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 0
- 4 papers2024 · T1 0
- 6 papers2023 · T1 1
T1 venuesOtherVenues: CVPR, ICIP, Neurocomputing
Research focuspaper titles that use each topic's words
- Generative & foundation models1 paper
- Signal processing & information theory1 paper
- Speech enhancement & signal processing1 paper
- embedded0 papers
- learning systems0 papers
Paper list
From the lab homepage.
20254 papers
- 7(1):33-46, JanuaryDensePoseGait: Dense human pose part-guided for gait recognition (opens in a new tab)
- pages 1-14Edge-PRUNE: A dataflow-based framework for distributed signal processing and machine learning (opens in a new tab)
- Sensing, 18:24647-24661Efficient hyperspectral image classification using discrete cosine transform on limited-resource systems (opens in a new tab)
- NeurocomputingShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs (opens in a new tab)
20244 papers
- ICIPExploring the potential of synthetic data to replace real data (opens in a new tab)
- 30(5):2767-2775HoloCamera: Advanced volumetric capture for cinematic-quality VR applications (opens in a new tab)
- Proceedings of the Workshop on Design and Architectures for Signal and Image ProcessingScratchy: A class of adaptable architectures with software-managed communication for edge streaming applications (opens in a new tab)
- Proceedings of the IEEE International Conference on Automatic Face and Gesture RecognitionViewDiffGait: View pyramid diffusion for gait recognition (opens in a new tab)
20236 papers
- Frontiers in Neuroinformatics, 17:1-15A parameter-optimization framework for neural decoding systems (opens in a new tab)
- SpringerAdaptive data stream mining (DSM) systems (opens in a new tab)
- IEEE AccessArchangel: A hybrid UAV-based human detection benchmark with position and pose metadata (opens in a new tab)
- Systems, 3(7):1-33, JulyFlydeling: Streamlined performance models for hardware acceleration of CNNs through system identification (opens in a new tab)
- Journal of Neural Engineering, 20(4):1-17, JulyJump-GRS: a multi-phase approach to structured pruning of neural networks for neural decoding (opens in a new tab)
- CVPR (T1)Progressive transformation learning for leveraging virtual images in training (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
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- Single round
- Opens
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- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.