Ali Lesani

Ali Lesani

Ali Lesani

ML Researcher

PhD Student at CViSS Lab

Hi, I'm Ali!

I am a Machine Learning Engineer at Kisoji Biotechnology, where I develop AI systems that support drug discovery research. My work focuses on building agentic AI systems that help researchers retrieve and analyze information from internal documents, lab notes, and databases. These systems enable real-time access to organizational knowledge and research insights, helping teams efficiently use data in their daily work.

I am also a PhD student at the CViSS Lab, University of Waterloo, supervised by Dr. Chul Min Yeum. My research focuses on interpretable visual understanding, spatio-temporal change detection, and multimodal reasoning via vision–language models. I am developing AI systems that analyze infrastructure inspection images taken over time to automatically detect and describe meaningful changes. The system generates concise change reports along with visual evidence highlighting the regions responsible for those changes, making the outputs interpretable and actionable for inspection workflows.

During my PhD, I have collaborated with industry partners including Rogers Communications, RBC Royal Bank, and NAV Canada through the Mitacs internship program. In these collaborations, I have developed applied AI solutions for real-world engineering and operational challenges, bridging academic research with deployable machine learning systems.

Outside of research, I enjoy playing soccer recreationally and following professional football. I’m also a long-time fan of snooker. If we share similar professional or personal interests, feel free to connect — I’d be glad to chat.

News

  • [Jan 2026] Our paper is accepted at ISPRS 2026
  • [Aug 2025] Joined KisoJi Biotechnology Inc as ML Engineer
  • [May 2025] Ali Lesani and his teammate Fuad Hassan won the 1st place in 2025 NSF NHERI GSC Data Challenge
  • [Mar 2025] Our paper is accepted at COBEE 2025
  • [Dec 2024] Attended NeurIPS 2024 in Vancouver
  • [Jun 2024] Our paper is accepted at WCEE 2024
  • [Oct 2023] Attended Multi-Hazard Risk and Resilience Worksop at Western University

Publications

Graph-Attention Network publication

Graph-Attention Network for Spatially-Aware Post-Hurricane Building Damage Assessment from UAV Imagery

Fuad Hasan, Ali Lesani, Chul Min Yeum, Rodrigo Costa
ISPRS [Accepted], 2026.
Knowledge-augmented GPT publication thumbnail

A Knowledge-Augmented GPT for Efficient Data Collection in Home Energy Audits

Shih-Chi Liu, Kay Han, Ali Lesani, Chul Min Yeum, Graham Watt, Seungjae Lee
Proceedings of the 6th International Conference on Building Energy and Environment (COBEE 2025).
Housing Recovery publication thumbnail

Simulating Housing Recovery Challenges Due to Post-disaster Repair Cost Increases

Ali Lesani, Alireza Ahmadi, Rodrigo Costa
Proceedings of the 18th World Conference on Earthquake Engineering (WCEE 2024).

Awards and Honors

Scholarships:

  • UW Graduate Scholarship, University of Waterloo
  • International Doctoral Student Award, University of Waterloo
  • Graduate Research Studentship, University of Waterloo
  • National Elites Foundation Award, Sharif University of Technology

Awards:

  • Won 1st Place in 2025 NSF NHERI GSC Data Challenge, Awarded for top AI research in natural hazards, 2025
  • Ranked 1st Among More than 44 Peer B.Sc. Students, Sahand University of Technology, 2019
  • Ranked 1st, 24th Regional Scientific Olympiad in Civil Engineering, 2019
  • Top Undergraduate Student in Department, Recognized for academic excellence, 2016 and 2017
  • Member of the Center of Exceptional Talents, Sahand University of Technology, 2015-2019