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Research Asst./Scientist @ Max Planck Institute for Intelligent Systems.

Working with Krikamol Muandet and Bernhard Schölkopf | Empirical Inference, MPI-IS, Tübingen.

I'm a Bachelor's in Aero/Astro Engineering (conc. Robotics) with a thesis on Drones for Crisis Monitoring/Response (Varsity's Best Project Award). 

My interests are in enabling Robots to work in transient environments (esp. Drones since they grudgingly require both- computational efficiency & high-accuracy) while ensuring robustness. I am keen to work in multi-disciplinary teams and eclectic applications #AI4Good.

I've been very fortunate to be advised by Prof. Debasish Ghose- (GCDSL) at the Dept. of Aerospace Engineering, Indian Institute of Science (IISc Bangalore).

Previously, I've worked with Prof. Narendra Ahuja (UIUC) for MicroNet Challenge @ NeurIPS'19. I also spent a few months at PAVIS - Istituto Italiano di Tecnologia (IIT Genoa, Italy).

I've collaborated with Dr. Kaushik Das at TCS Research (Innovation Labs) while being at the Robert Bosch Centre (RBCCPS @IISc).  Also, I spent my sophomore summer at IIT Bombay working on a Boeing project.

---------------News---------------

• R. Rawal*, P. Pradhan*; Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data. CVPRW 2020 (Oral)
  → Also presented an extension: Generalizing across the invisible spectrum. Extreme Classification @ ICMLw 2020

• P. Pradhan, M. Sarkar, D. Ghose; Smarter Prototyping for Neural Learning. Retrospectives @ NeurIPSw 2019 (Oral)

• P. Pradhan; Machine Learning for Practitioners. Challenges in Machine Learning (CiML) @ NeurIPSw 2019

• M Sarkar, P. Pradhan, D. Ghose; Planning Robot Motion using Deep Visual Prediction. PlanRob @ ICAPS'19 (Berkeley, USA)

• We've been awarded Cloud Credits (~ 25 TPU v2) by DeepMind/Google AI for MicroNet Challenge @ NeurIPS'19