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About Me
Hi, I'm Parth Natekar!
I build Artificial Intelligence and Interactive Systems to make an impact in critical sectors like Healthcare.
I build Artificial Intelligence and Interactive Systems to make an impact in critical sectors like Healthcare.
- I'm a Graduate Student at the University of California, San Diego, in the Electrical and Computer Engineering Department. I'm a researcher at the 4DCELL Lab and the Advanced Robotics and Controls Lab.
- I completed a Dual Degree (Bachelor's + Master's) in the Department of Engineering Design at the Indian Institute of Technology, Madras, in 2020.
- My research broadly revolves around Deep Learning, Human-Computer Interaction, Wearable Devices, Biomedical Design, and Medical Imaging. I'm specifically interested in applications in the healthcare domain. Take a look at my vision below for more details.
- I have prior research experience at CERN, the Convergence Design Lab at Purdue University, the Medical Imaging and Reconstruction Lab at IITM, Anheuser-Busch InBev, and Honeywell India.
- In my spare time, I love playing football (I'm a Liverpool fan), painting (See the Art Section), and working out.
- Please take a look at my research/project portfolio. See more on my vision below.
Recent News
- Summer 2022: I completed my internship at Intuitive Surgical! I worked with the DeepSight team (Future Forward Research) on building computer vision solutions around the Da Vinci robot.
- August 2021: Competition paper for NeurIPS 2020 Competition on Predicting Generalization in Deep Learning is now out in the NeurIPS Competitions and Demonstrations track in PMLR!
- June 2021: I started as a Researcher at the University of California, San Diego! More details in the Experience Section
- December 2020: I presented at NeurIPS 2020! You can find my presentation here, detailing our winning solution for the NeurIPS Competition on Predicting Generalization in Deep Learning. The preprint for our paper is here.
- December 2020: Paper on Concept Interpretability accepted at AAAI 2021 International Workshop on Health Intelligence!
- October 2020: We won the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning!
- December 2019: Paper on Interpretability for Medical Imaging accepted in Frontiers Computational Neuroscience!
My Vision
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My research vision has three aspects:
(1) Building Human-Centered Artificial Intelligence to solve fundamental problems in critical sectors like healthcare, including addressing broader issues like interpretability, generalization, and uncertainty, (2) Improving interaction between humans and the upcoming digital environment around us through wearable devices and novel interactive modalities, and (3) Human-Centered Design to build devices and machines that can solve problems in sectors like healthcare, like diagnostic imaging or point-of-care sensing. The pictogram on the right concisely summarizes this vision - building an intuitive, trustworthy environment through engineering and science, keeping human beings at the center. My research portfolio and publications show how I have been working towards this vision. Ideas I have for potential future projects are available on the future directions page. Please take a look at these if you are interested in collaborating. |
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