WORK

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.