Teaching:
- Advanced Concepts in Machine Learning for Energy, ENGY 642 (Spring 2024, Spring 2025, Spring 2026)
- Machine Learning for Computer Vision, ENGR 689 (Fall 2023)
- Data Science Fundamentals for Energy II, ICPE 689 (Spring 2023)
- Fundamentals of Deep Learning, NVIDIA workshops (2022-present)
Advising:
- Aniruddh Adiga, MS in Data Science, Texas A&M University
- Akash Pillai, MS in Data Science, Texas A&M University
- Nitai Premal Shah, MS in Data Science, Texas A&M University
- Adeolu Adekunle, PhD in Animal Science (committee member), Texas A&M University
- Rohit Venkata Sai Dulam, Postdoc in Data Science (Fall 2025), Texas A&M University->Bentley Systems Inc
- Janvita Reddy Peddagudreddygari (Spring 2025), MS in Data Science, Texas A&M University->Novartis
- Uday Vysyaraju, MS in Data Science (Spring 2025), Texas A&M University->AusculTech Dx
- Isaias Negassi, MS in Data Science (Spring 2024), Texas A&M University->Pepsi
- Siddhanth Reddy Sirgapoor, MS in Data Science (Spring 2024), Texas A&M University->imPAC Labs
- Jack Wooley, MS in Data Science (Fall 2024), Texas A&M University->Apple
Industry Projects:
- Zhuhai Gree City Residential Building. Award-winning project comprises 36 residential stories, with a commercial skirt, a top roof garden, and a steel bridge at 100 meters high. Altogether, it has 560 units occupying 56,900 m² serving as a landmark of Zhuhai City. More design details here.
