Email: rnschmal [at] uwaterloo [dot] ca
LinkedIn: www.linkedin.com/in/ryan-schmalenberg
GitHub: https://github.com/Engnation
Thesis: https://hdl.handle.net/10012/21120

My most major contribution is the development of a novel volumetric dense SLAM system that harness the synergy between the photometric SLAM system Direct Sparse Odometry (DSO) and 3DGS, thereby achieving a combination of speed, map quality, and memory efficiency unmatched by other dense SLAM systems. This innovative SLAM system is currently under review for the 2025 IEEE International Conference on Robotics and Automation (ICRA).

Email: y324hu@uwaterloo.ca

Site: https://yansonghu-lele.github.io/

Demonstration of my Dense SLAM System

Short GIFs of my dense SLAM system working live on the Replica and EUROC MAV datasets

Simultaneous Localization and Mapping (SLAM)
Spatial AI

Email: hnguyenh [at] uwaterloo [dot] ca

GitHub: https://github.com/howird

LinkedIn: https://www.linkedin.com/in/howird/

Website: https://howird.com

Room: EC4 2038A

Email: c39feng@uwaterloo.ca

LinkedIn: https://www.linkedin.com/in/chun-cheng-feng-038393186

Email: kkaai@uwaterloo.ca

Personal Website: kimathikaai.com

Email: bbalaji@uwaterloo.ca

Personal Website: https://bavesh-b.github.io/

Harish is a second-year Master of Applied Science (M.ASc) student in the Vision and Image Processing Lab, affiliated with the Systems Design Engineering (SYDE) department at the University of Waterloo. He works with the Sports Analytics and Research Group (SARG), co-supervised by Dr. David Clausi and Dr. John Zelek.

Harish is associated with Stathletes, where he focuses on Machine Learning for game automation and analytics. His specific graduate research includes multi-player tracking & re-identification, homography, action recognition, 2D & 3D pose estimation. Broadly, his research interests include novel neural network architectures (transformers, GNNs, VAEs), new learning paradigms (few-shot learning, test-time adaptation, self-supervised learning), and traditional CV techniques. Apart from research, he enjoys reading non-fiction, hiking, meditation, swimming, and marathons.

Publications:

1. Prakash, Harish, Jia Cheng Shang, Ken M. Nsiempba, Yuhao Chen, David A. Clausi, and John S. Zelek. “Multi Player Tracking in Ice Hockey with Homographic Projections.” arXiv preprint arXiv:2405.13397 (2024).
2. Bright, Jerrin, Bavesh Balaji, Harish Prakash, Yuhao Chen, David A. Clausi, and John Zelek. “Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery.” arXiv preprint arXiv:2403.09063 4, no. 6 (2024): 7.
3. Balaji, Bavesh, Jerrin Bright, Harish Prakash, Yuhao Chen, David A. Clausi, and John Zelek. “Jersey number recognition using keyframe identification from low-resolution broadcast videos.” In Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, pp. 123-130. 2023.
4. Prakash, Harish, Yuhao Chen, Sirisha Rambhatla, David A. Clausi, and John Zelek. “VIP-HTD: A Public Benchmark for Multi-Player Tracking in Ice Hockey.” Journal of Computational Vision and Imaging Systems 9, no. 1 (2023): 22-25.

Teaching Experience:

Harish has been a Teaching Assistant (TA) for the following 5 courses:

1. SYDE 121: Digital Computation, Fall 2024
2. MTE 140: Data Structures & Algorithms, Spring 2024
3. BME 122: Data Structures & Algorithms, Winter 2024
4. SYDE 292 & 292L: Circuits and Instrumentation, Fall 2023
5. SYDE 361 : Systems Design Methods, Spring 2023

Contact:

• Personal email: srinivas.harish27@gmail.com
• LinkedIn Profile: https://www.linkedin.com/in/harish-prakash-21109415a/
• Personal Website: https://harshap-ai.github.io/
• Github: https://github.com/harshap-ai