Explorer Categories: EECS

Hi, I’m Mitsuhiko Nakamoto. I’m a fourth-year CS Ph.D. student at UC Berkeley, working with Professor Sergey Levine. I’m interested in building intelligent robots that can handle a wide range of real-world tasks and integrate them into everyday human life. To this end, my research mainly focuses on data-driven robot learning, including offline RL, online RL fine-tuning, and imitation learning. Before coming to Berkeley, I earned my undergraduate degree from the University of Tokyo. Outside of research, I enjoy playing and watching sports, especially soccer.

Nagesh Patle is a PhD student in EECS at UC Berkeley, advised by Professor Robert Pilawa-Podgurski. His research focuses on ultra-efficient, ultra-dense hybrid switched-capacitor power converters for data center and automotive systems to ease the power delivery limits that constrain modern AI and advanced computing. Raised in Madhya Pradesh, India, he spent after-school hours watching Backyard Science, a kids’ science program that turned household items into simple experiments, and tinkering with his brother, building self-propelled boats and paper rockets, and taking apart RC trucks to see how they worked. That hands-on curiosity led him to IIT Kharagpur to study electronics. There, he joined a student-run tech entrepreneurship group, where he helped design the battery management system for Deshla, a campus-built lithium-ion electric three-wheeler prototype created to encourage EV adoption and reduce emissions in India. At Berkeley, he works from system needs down to circuit fundamentals to create compact, reliable circuits for applications ranging from consumer PMICs to server power delivery. He has industry experience at Qualcomm, NVIDIA, and Apple, contributing to projects across electrical engineering, and his recent work centers on power delivery. Away from the lab, he enjoys hiking, ping-pong, intramural soccer, and a quick game of chess.

Tanveer Ahmed Siddique is a PhD student in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley, advised by Professor Boubacar Kante. His work focuses on developing novel lasing devices and optical metasurface sensors to advance biosensing technologies, enabling applications in early disease detection, pharmaceutical development and precision medicine. Originally from Bangladesh, Tanveer combines research excellence with a passion for entrepreneurship and leadership, aiming to translate cutting-edge science into impactful real world solutions. He has been serving as General Secretary of the Bangladeshi Students and Scholars at Berkeley, organizing cultural and networking events that bring together diverse communities. Beyond his academic work, Tanveer is passionate about exploring food, culture, and the outdoors. He enjoys cooking traditional Bangladeshi dishes from scratch, playing football, listening to music and seeking out scenic spots to watch the sunrise and sunset.

Nicole is an undergraduate student at UC Berkeley, pursuing a double degree in Computer Science and Data Science. She is passionate about leveraging machine learning to enhance human quality of life, particularly in intelligent traffic systems and autonomous driving. Under the mentorship of professor Alexandre Bayen, her current research centers on developing models to simulate diverse vehicle scenarios, with the goal of enhancing both energy efficiency and road safety. Recognizing the critical challenge posed by the scarcity of high-quality data, she hopes to adapt this data to complex global traffic systems, ultimately, reducing emissions and fuel consumption to advance sustainable and equitable transportation on a broad scale.

Tahmid Mahbub Research Talk

Leyla Kabuli Research Talk

Hi! I’m Nithila Poongovan, a senior studying Electrical Engineering & Computer Science + Business Administration. My interests lie at the intersection of embedded systems and applied machine learning. I’ve explored embedded systems as a Software Engineering Intern at SpaceX this summer, working on low-level firmware for the Starlink gateways, and as a member of the electrical engineering team on Berkeley Formula Racing. On the machine learning side, I’ve been working in Ana Arias’ lab for the last three years, developing neural networks to account for data interference in the lab’s biodegradable agricultural sensors.

I was born and raised in Southern California, and I became interested in electrical and computer engineering after developing a strong passion for music technology. When experimenting with digital synthesizers and audio effects, I was fascinated by the mathematics that made all of the signal processing possible. I went on to study engineering at Brown University, along with playing lacrosse on the club team and being a part of the Brown Space Engineering club. Now, at UC Berkeley, I am working on a project with Professor Anant Sahai that studies deep learning models from a signal processing perspective.

Philothei is a PhD student in EECS at Berkeley, advised by Professor Ana Arias. Her research focuses on developing scalable energy and sensing devices through wet solution processing techniques, with the goal of making energy and environmental monitoring more accessible. She earned her undergraduate degree in Materials Science and Engineering from Georgia Tech, where her international experiences studying, working, and researching in Singapore, Liechtenstein, and France shaped her commitment to inclusive research with a global impact. In her free time, Philothei enjoys hiking, reading, and gardening.

Hila Mor is a researcher, designer and artist. She is currently working on her  Ph.D. advised by Professor Eric Paulos at the Hybrid Ecologies Lab, EECS, UC Berkeley. Her work centers on Human-Computer Interaction and the design of interactive computational materials. She is developing powerless sensors and displays that harness ubiquitous material dynamics in novel ways. Hila’s research aims to not only uncover new forms of interaction through programmable materials but also to democratize these technologies, making them more accessible to diverse communities. She holds a Master of Media Arts and Sciences from the MIT Media Lab, where she was part of the Tangible Media Group, and a B.Des Cum Laude in Product Design from the Bezalel Academy of Art and Design.