Sasidhar Reddy Alavala
Portrait
Ph.D. Student
Logo Indian Institute of Science
Sasidhar Alavala is a Ph.D. student at the Indian Institute of Science, Bangalore, specializing in Cyber Physical Systems. His research interests include 3D reconstruction, SLAM, deep learning, and medical imaging. Sasidhar is passionate about robotics, AI, and building real-world impactful solutions.
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Experience
  • Indian Institute of Science
    Indian Institute of Science
    Research Fellow
    Jan. 2025 - present
  • Indian Institute of Technology Tirupati
    Indian Institute of Technology Tirupati
    Research Assistant
    Aug. 2023 - Dec. 2024
Technical Skills
  • Python, PyTorch, TensorFlow
  • Computer Vision, Deep Learning
  • SLAM, 3D Reconstruction
  • Embedded AI, Robotics
Academics
  • Indian Institute of Science Bangalore
    Indian Institute of Science Bangalore
    Ph.D. in Cyber Physical Systems
  • Indian Institute of Technology Tirupati
    Indian Institute of Technology Tirupati
    M.S. in Electrical Engineering
  • National Institute of Technology Calicut
    National Institute of Technology Calicut
    B.Tech in Electronics & Communication Engineering
Some decent performances...
  • IIT Tirupati- Nav-i-GEE Research Fellow; Highest CGPA (9.81/10.0) in PG Class of 2025.
  • NIT Calicut- Dr. KP Raveendran Memorial Prize for highest first-year CGPA (9.71/10.0).
  • Competitive Ranks- JEE (Advanced) AIR 6777 | TS EAMCET State Rank 537.
Recognition
  • A
Blogs (view all )
Welcome to My Blog Feb 09, 2026
This is the first post on my new blog section. Stay tuned for updates!
All blogs
Publications (view all )
Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction
Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction

Ander Biguri, Subhadip Mukherjee, Xuzhi Zhao, Xi Liu, Xinyi Wang, Rui Yang, Yi Du, Yahui Peng, Mikael Brudfors, Mark Graham, Hyungon Ryu, Oliver Kutter, Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix, Austin Yunker, Rajkumar Kettimuthu, John C. Roeske, Sasidhar Alavala, Subrahmanyam Gorthi, Carola-Bibiane Schönlieb

IEEE Open Journal of Signal Processing (OJSP) 2025

TL;DR: Comprehensive benchmarking and challenge for deep learning and classical methods in low-dose 3D cone-beam CT reconstruction, using realistic simulations and clinical data.

[Paper] [Code]

Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction

Ander Biguri, Subhadip Mukherjee, Xuzhi Zhao, Xi Liu, Xinyi Wang, Rui Yang, Yi Du, Yahui Peng, Mikael Brudfors, Mark Graham, Hyungon Ryu, Oliver Kutter, Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix, Austin Yunker, Rajkumar Kettimuthu, John C. Roeske, Sasidhar Alavala, Subrahmanyam Gorthi, Carola-Bibiane Schönlieb

IEEE Open Journal of Signal Processing (OJSP) 2025

TL;DR: Comprehensive benchmarking and challenge for deep learning and classical methods in low-dose 3D cone-beam CT reconstruction, using realistic simulations and clinical data.

[Paper] [Code]

3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction Using SwinIR-Based Sinogram and Image Enhancement
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction Using SwinIR-Based Sinogram and Image Enhancement

Sasidhar Alavala, Subrahmanyam Gorthi

IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) 2024

TL;DR: SwinIR-based sinogram and image enhancement modules significantly improve 3D CBCT reconstruction, ranking among the top 5 solutions in the 2024 challenge.

[Paper] [Code]

3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction Using SwinIR-Based Sinogram and Image Enhancement

Sasidhar Alavala, Subrahmanyam Gorthi

IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) 2024

TL;DR: SwinIR-based sinogram and image enhancement modules significantly improve 3D CBCT reconstruction, ranking among the top 5 solutions in the 2024 challenge.

[Paper] [Code]

All publications