Zeel B Patel

Zeel is a PhD student in Computer Science and Engineering at the Sustainability lab, IIT Gandhinagar advised by Prof. Nipun Batra. His research area of interest is Probabilistic Machine Learning and its applications to Environment Modeling and Sensor Placement.

He is a co-author in Dr. Kevin Murphy’s latest book Probabilistic Machine Learning: Advanced Topics (download stats shield). He was a Google Summer of Code (GSoC) contributor at Google (TensorFlow) in 2022.

Before joining Ph.D., he was a Data Scientist in an R&D team headed by CTO at Inspirisys Solutions Ltd.. He did his masters from IIITDM Kancheepuram.

Updates

2023
  • 27 Oct - A workshop paper titled "Towards Scalable Identification of Brick Kilns from Satellite Imagery with Active Learning" got accepted in NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World.
  • 22 Sep - A paper titled "Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling" got accepted in NeurIPS 2023 Datasets and Benchmarks Track.
  • 11 Sep - A visual explainable "Conformal Prediction: A Visual Introduction" got accepted at VisXAI workshop.
  • 25 Aug - Serving as a reviewer in AAAI 2024.
  • 29-31 Jan - Attended Research Week with Google, Bangalore, India.
2022
  • 19 Oct - Serving as a reviewer for AISTATS 2023.
  • 14 Oct - Two workshop papers got accepted at a Neurips 2022 workshop.
  • 26 Aug - Presented our AAAI22 work at Air Sensors International Conference (ASIC), Bangalore, India.
  • 27 Jun - Received registration grant for GPSS 2022.
  • 21 May - Selected as a Google Summer of Code contributor at Tensorflow with Dr. Kevin P. Murphy. My proposal can be found here.
  • 26 Apr - Our work "Samachar: Print News Media on Air Pollution in India" is accepted in ACM COMPASS 2022. More details are here.
  • 28 Feb - Joined as a reviewer at The ReScience C journal
  • 3 Feb - Received registraion grant for AAAI22
  • 7 Jan - Shortlisted to participate in Google Research Week 2022
2021
  • 2 Dec - Our work got accepted at AAAI '22 titled "Accurate and Scalable Gaussian Processes for Fine-grained Air Quality Inference" - A Twitter thread
  • 13-16 Sep - Attended Gaussian process summer school 2021 virtually
  • 18 Jun - A paper titled "Towards Active Air Quality Station Deployment" accepted in SubSetML workshop in ICML'21
  • 7 Jun - Served as a reviewer for ACM COMPASS'21 Posters and Demos.
  • 7-10 Apr - Attended Google Graduate Symposium 2021 - Notes - Sessions
  • 8 Mar - Cleared PhD Qualifiers exam
2020