About Me

I'm a Second-year PhD student under professor Prof. Stanley H. Chan - at the Intelligent Imaging Lab. We are at Purdue ECE- Purdue University, USA. Prior to graduate school, I received my Bachelors in Electronics and Telecommunications Engineering from the University of Moratuwa, Sri Lanka. My primary research is on Image/Video enhancement using generative AI. I work in the intersection of generative AI, image/video restoration, and computational imaging- leveraging vision and language models for physically consistent enhancement of images and videos. I’m always happy to collaborate and make new friends. Feel free to reach out!

My hosts throughout the years:

News

November 2025	.
November 2025	We released SeeU: a 4D understanding and video generation pipeline that reveals unseen time and space.
September 2025	We released NewtonGen: a physics-consistent and controllable text-to-video framework.
April 2025	Present my work with the IEEE-MEUYR program at ICASSP 2025- Hyderabad.
August 2024	Started as graduate school as a graduate teaching assistant at Purdue University. TA for ECE301 Signals and Systems.
December 2023	Graduated from the Faculty of Engineering, University of Moratuwa, with a First Class Honors in B.Sc (Engineering), Gold medals: for academics, and overall performance in leadership, and civic service.
November 2023	Remote project with prof. Marco F. Duarte accepted for the "IEEE ME-UYR" program by the IEEE Signal Processing Society.
August 2023	Invited to participate in the "Cornell-Maryland-MaxPlanck Research School" by at MPI Saarbruecken, Germany.
July 2023	Joined the University of Moratuwa as a Visiting Instructor.
June 2023	Presented my final year thesis project to the Department of Electronic and Telecommunications Engineering at the University of Moratuwa.
May 2023	"MOSAIC": Masked Optimisation with Selective Attention for Image reconstruction" is published on arxiv.
November 2022	Joined Centre for Advanced Imaging at Harvard University as a Remote Undergraduate Research Fellow , under supervision of Dr. Dushan. N. Wadduwage from Wadduwage Lab, focusing on deep learning based image reconstruction algorithms for microscopy.
January 2022	co-authored paper: HPGNN: Hierarchical Point GNN for Outdoor Point Cloud processing accepted at ICPR 2022.
December 2021	Joined the School of Computer Science, University of Sydney as a Research Intern.
July 2021	Virtually attended ICASSP 2021 to defend our solution to the IEEE Signal Processing Cup, and Won the global championship
May 2021	Appointed as Assistant Manager of the Knowledge Hub of the Electronic Club.
October 2018	Started my undergraduate degree in Electronic and Telecommunications Engineering at University of Moratuwa, Sri Lanka.

Selected Research

FlowSteer: Conditioning Flow Field for Consistent Image Restoration

Tharindu Wickremasinghe, Chenyang Qi, Harshana Weligampola, Zhengzhong Tu, Stanley H. Chan.

Under review. project / arXiv / code(Coming soon)

SeeU: Seeing the Unseen World via 4D Dynamics-aware Generation

Yu Yuan, Tharindu Wickremasinghe, Zeeshan Nadir, Xijun Wang, Yiheng Chi, Stanley H. Chan.

Under review. project / arXiv / code(Coming soon)

NewtonGen: Physics-Consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics

Yu Yuan, Xijun Wang, Tharindu Wickremasinghe, Zeeshan Nadir, Bole Ma, Stanley H. Chan.

Under review. project / arXiv / code

Affine Subspace Models and Clustering for Patch-Based Image Denoising

Tharindu Wickremasinghe, Marco F. Duarte

IEEE Asilomar Conference on Signals, Systems, and Computers 2025. arXiv / code(Coming soon)

Previous research areas: Structured sparsity, Compressed Sensing and Inverse Problems in Imaging, Graph Neural Networks, Intelligent Reflective Surfaces, and Human Motion Prediction.

Through the IEEE SPS Young Researcher initiatives, I have collaborated with Prof. Marco F. Duarte on structured sparsity in images. I completed my Bachelors in Engineering with a First Class Honors and the gold medal for my cohort at the Department of Electronic and Telecommunication Engineering (ENTC), and the gold medal from the Faculty of Engineering, University of Moratuwa, Sri Lanka. My final year thesis project was on "Optical microscopy optimisation through compressive sensing and reconstruction" under the supervision of Dr. Dushan Wadduwage and Dr. Chamira Edussooriya. This research project was part of a collaboration with the Wadduwage Lab at the Centre for Advanced Imaging at Harvard University. I have worked on physics-based human motion prediction at the University of Sydney, Australia during my internship with Dr. Anusha Withana. Further, as self-initiated research projects, I have worked on point cloud segmentation using Graph Neural Networks with Dr. Ranga Rodrigo, and channel estimation and RIS configuration search with Dr. Prathapasinghe Dharmawansa.