Aarav Jain 1

Aarav Jain

Junior Undergraduate Researcher II

aaravj@usf.edu

2/19/2025→


Hello! My name is Aarav Jain, and I am a sophomore majoring in Computer Science at the University of South Florida. I have a strong background in software development, with experience in full-stack web applications, AI, and systems programming. I enjoy solving complex problems through code and have worked with technologies like React.js, Node.js, and Python to build scalable and efficient applications.

I am particularly interested in human-robot interaction and how AI can enhance communication between humans and machines. I want to explore how robotics can be made more intuitive, adaptive, and user-friendly, bridging the gap between technology and human behavior. At RARE Lab, I am eager to apply my coding expertise to real-world research projects while learning from experienced mentors. I look forward to refining my technical and problem-solving skills, deepening my understanding of AI and robotics, and collaborating with a team that pushes the boundaries of innovation.

I believe RARE Lab will provide the perfect environment for me to grow professionally and contribute to impactful research that advances the field of human-robot interaction.

— 2/23/2025


Publications

Nothing found.


News

2025 Summer CRA UR2PhD

Congrats to 11 undergraduate researchers on completion of the UR2PhD research course: Aarav, Paramveer, Thao, Aditi, Abrar, Sofia, Anjali, Rex, Miguel, and Thuc Anh!

Also, congrats, Amanual and Xiangfei, on finishing the Graduate Student Mentorship Training!

Summer 2025 Lab Lunch

June is here, and Summer starts. Welcome, new and old lab members!

Spring 2025 Lab Lunch

Spring concludes with a good lab gathering. Italy style! (Sorry that not all could come!)

Undergraduate students Tuan Khang Phan (2/12), Aarav Jain (2/23), Paramveer Singh Bhele (2/25), Gavin Wilson (2/26), Thuc Anh Nguyen (3/11), Grant Henderson (3/24), Thao (Jennifer) Nguyen (3/27) have joined the lab. Khang: Fog screen-robot system. Aarav, Param, Gavin: Protectives against robot abuse. Anh, Jennifer: FoV indicators. Grant: Explainable foundational models. Welcome!