LabCompass

Saurav K. Shastri

Engineering · The Ohio State University

OpenAlex ORCID
Early career · publishing since 2018
Sparse and Compressive Sensing TechniquesAdvanced X-ray Imaging TechniquesNumerical methods in inverse problemsAdvanced MRI Techniques and ApplicationsHydrocarbon exploration and reservoir analysis

Publications

15

Citations

47

Est. group size

~2

Recurring co-author estimate

Active years

8

Publishing since 2018

Research summary
AI-generated

Saurav K. Shastri works on computational imaging and signal processing, developing mathematical and deep-learning-based algorithms to reconstruct images from incomplete or noisy measurements. His work spans applications such as MRI, phase retrieval (recovering images when only intensity, not phase, is measured), ultrasound, and ground-penetrating radar. Much of his research combines classical statistical estimation techniques with modern deep learning tools to solve these 'inverse problems' (working backward from measurements to reconstruct an unknown signal or image).

Inverse problems and image reconstructionDeep learning for imagingPhase retrievalMRI and medical imaging algorithmsSignal processing for sensing (ultrasound, radar, inertial sensors)

Publication output has been modest and uneven over the last decade, with occasional gaps (e.g., 2017, 2021) followed by a recent uptick in 2022 and 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
172018: 1 publication182019: 2 publications192020: 2 publications20212022: 4 publications4222023: 1 publication232024: 2 publications242025: 3 publications2526
Recent publications
Publishes in
  • arXiv (Cornell University)×5
  • Ultrasonics×1
  • IEEE Journal on Selected Areas in Information Theory×1
  • IEEE Sensors Letters×1
  • IEEE Transactions on Computational Imaging×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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