Kimaya Kulkarni

About Me

I am a second-year Masters student in the Electrical and Computer Engineering department at UCLA. My primary interests lie in the fields of computer vision, imaging, and machine learning. Currently, I am actively involved with the Visual Machines Group (VMG) at UCLA, where I work under the guidance of Prof. Achuta Kadambi. Within VMG, I tackle various imaging problems using a combination of artificial intelligence and physics-based methods.

During the summer of 2022, I had the opportunity to work as a Software Engineering intern at Rivian Automotive, specifically in the Camera Image Quality domain. My project focused on leveraging camera image quality to enhance the performance of deep learning models.

Prior to my Masters, I completed my undergraduate degree in Electronics and Telecommunication Engineering from VIT, Pune. Throughout my undergraduate studies, I undertook several projects in Image and Signal Processing, as well as Machine Learning, under the guidance of Prof. Ashutosh Marathe. Additionally, I gained valuable experience in robotics projects under the supervision of Prof. Milind Patwardhan.

Combining my academic pursuits and industry experience, I have developed a strong foundation in computer vision, imaging, and machine learning. I am now seeking new opportunities to apply my skills and contribute to cutting-edge projects in these domains.

Updates

• September 2022: TA for Physics 180G: Biophysics.


• June 2022: Started summer internship at Rivian Automotive as a Software Engineering Intern, Camera Image Quality.


• May 2022: Paper accepted to SIGGRAPH 2022.


• September 2021: TA for Physics 4BL: Physics Laboratory for Scientists and Engineers: Electricity and Magnetism.


• September 2021: Started Masters at UCLA!


• October 2020: Our paper, Diverse RPPG: Camera-based Heart Rate Estimation for Diverse Subject Skin Tones and Scenes, is up on ArXiv.

Experience

• Rivian Automotive, Palo Alto, CA.: Software Engineering Intern, Camera Image Quality [June - September 2022]


• Visual Machines Group, UCLA.: Student Researcher [May 2020 - Present]


• HEMRL, Pune, India: Project Intern [July - December 2019]


• KIST, Seoul, South Korea: Research Trainee [June 2018]

Teaching

• Physics 180G: Biophysics [September - December 2022]


• Physics 4BL: Physics Laboratory for Scientists and Engineers: Electricity and Magnetism [September 2021 - June 2022]

Selected Publications

* indicates equal contribution

A multimodal fusion approach between camera and radar to achieve more equitable and robust plethysmography.

Identifying and solving underlying bias in remote heart rate monitoring using consumer camera systems based on noise analysis.

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