Sirisha Rambhatla

Theory-guided Machine Learning for the Real World

CPH 4301, 200 University Ave. W., Waterloo, ON, Canada

I am an Assistant Professor in Information Sciences and Data Analytics at the Management Sciences Department in the Faculty of Engineering at the University of Waterloo. I am also affiliated with the Waterloo Artificial Intelligence Institute (Waterloo.AI).

Previously, I was a Postdoctoral fellow at the Melady Lab mentored by Prof. Yan Liu in the Computer Science Department, Viterbi School of Engineering, at the University of Southern California. I undertook my doctoral studies with Prof. Jarvis Haupt in the Department of Electrical and Computer Engineering at the University of Minnesota-Twin Cities.

Curriculum Vitae

Areas of Interests

| Statistical Machine Learning | Sparse Signal Processing | Spatiotemporal Data Analysis | AI for Surgery and Healthcare | Interpretability of Deep Learning Models |

Research Opportunities

If you are a prospective Masters or Doctoral student interested in tackling some challenging problems in real-world machine learning and AI with applications to healthcare, misinformation, and computer vision. Apply to the graduate program at Management Sciences Department and mention my name in your application. You may also reach out to me via email, be sure to highlight your experience with deep learning research and software development, and relevant course-work in linear algebra, optimization, and probability. Let’s work together!

news

Dec 8, 2021 Our work on Burn Surgical Candidacy won the Outstanding Presentation Award at the Plastic Surgery: The Meeting! :tada:
Dec 1, 2021 Our work – I-SEA: Importance Sampling and Expected Alignment-based Deep Distance Metric Learning for Time Series Analysis and Embedding has been accepted to Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) ! :star:
Aug 17, 2021 Our work on Battling Mislabeling in Robotic Surgical Skill Assessment has been accepted to Surgery! :star:
Aug 8, 2021 Our work on high resolution spatiotemporal COVID-19 risk scores has been accepted to ACM Transactions on Spatial Algorithms and Systems (TSAS)! :star:
Jul 15, 2021 I am starting as a Tenure-Track Assistant Professor at UWaterloo! :tada:

selected publications

  1. ICLR
    🏆 Travel Award
    NOODL: Provable Online Dictionary Learning and Sparse Coding
    Rambhatla, S., Li, X., and Haupt, J.
    International Conference on Learning Representations (ICLR) 2019
  2. NeurIPS
    Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
    Rambhatla, S., Li, X., and Haupt, J.
    Advances in Neural Information Processing Systems (NeurIPS) 2020
  3. NeurIPS
    How does this interaction affect me? Interpretable attribution for feature interactions
    Tsang, M., Rambhatla, S., and Liu, Y.
    Advances in Neural Information Processing Systems (NeurIPS) 2020
  4. TSP
    A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging
    Rambhatla, S., Li, X., Ren, J., and Haupt, J.
    IEEE Tran. on Signal Processing 2020