Active team members

Daniel Aranki, PhD
Executive Director

Daniel Aranki is an Assistant Professor of Practice in the School of Information at UC Berkeley. He received a PhD in computer science from UC Berkeley in 2017. He received a BSc in computer engineering from the Department of Electrical Engineering at Technion—Israel Institute of Technology, Haifa, Israel, in 2011. Between 2007 and 2011, he worked in the Mobile Wireless Group at Intel Corporation, Haifa, Israel. During his time there, he worked on WiFi receiver design, design and verification flow automation, and WiFi system architecture design. He is the executive director of the Berkeley Telemonitoring Project. His research interests include machine learning, statistical analysis, privacy, information disclosure, and health telemonitoring.

Gregorij Kurillo, PhD
Senior Research Scientist

Gregorij Kurillo received the B.Sc. and Ph.D. degrees from School of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia, in 2001 and 2006, respectively. He was a Research Assistant with the Laboratory of Robotics and Biomedical Engineering at the same institution from 2002 to 2006. From 2006-2009 he was a Postdoctoral Researcher and since 2009 the Head Research Engineer at the Teleimmersion Laboratory at University of California Berkeley. He currently holds a shared research appointment with Department of Physical Medicine and Rehabilitation, University of California Davis. Dr. Kurillo's research interests include camera calibration, 3D vision, image processing, robotics, virtual reality, and rehabilitation engineering.

Past team members

Ruzena Bajcsy, PhD
Professor Emerita, EECS

Ruzena Bajcsy received the Master's and Ph.D. degrees in electrical engineering from Slovak Technical University, Bratislava, Slovak Republic, in 1957 and 1967, respectively, and the Ph.D. in computer science from Stanford University, Stanford, CA, in 1972. She is a Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley, and Director Emeritus of the Center for Information Technology Research in the Interest of Science (CITRIS). Prior to joining Berkeley, she headed the Computer and Information Science and Engineering Directorate at the National Science Foundation. Dr. Bajcsy is a member of the National Academy of Engineering and the National Academy of Science Institute of Medicine as well as a Fellow of the Association for Computing Machinery (ACM) and the American Association for Artificial Intelligence. In 2001, she received the ACM/Association for the Advancement of Artificial Intelligence Allen Newell Award, and was named as one of the 50 most important women in science in the November 2002 issue of Discover Magazine. She is the recipient of the Benjamin Franklin Medal for Computer and Cognitive Sciences (2009) and the IEEE Robotics and Automation Award (2013) for her contributions in the field of robotics and automation.

Posu Yan, MSc
Posu Yan received his B.Sc. degree from University of California at Berkeley in 2001 and his M.Sc. degree from University of California, Los Angeles in 2004. He worked as a Research Engineer at UC Berkeley from 2007 to 2013 in the area of wireless cameras, body sensor networks, and mobile-health monitoring. He is currently working as a software developer for mobile applications.
Arjun Chopra, BSc

Arjun Chopra graduated from UC Berkeley with a BS in EECS in 2014. He was involved in the Berkeley telemonitoring project since its early stages in March 2014 up until December 2014. In addition to his interest in computer systems, Arjun is interested in several other areas of computer science, such as Theory, Vision and AI.

Phillip Azar, MEng
Adarsh Mani, MEng
Quan Peng, MEng

Quan Peng got his bachelor degree in robotics at Worcester Polytechnic Institute, Worcester, MA and master of engineering in EECS at UC Berkeley. He enjoyed playing with robots, but after graduate studies, he is more interested in machine learning and cloud computing. In his leisure time, he loves watching and playing soccer games. If you have the same interests, don't hesitate to contact him!

Jochem van Gaalen, MEng
Priyanka Nigam, BSc
Maya Pannala Reddy, BSc

Maya Reddy received a BSc in Electrical Engineering and Computer Science at UC Berkeley. She joined the Telemonitoring team as a sophomore and worked on Android programming. She likes working on mobile applications and has experience in iOS. Her other interests include design, art, sewing, and sports.

Sneha Sankavaram, BSc

Sneha Sankavaram joined the telemonitoring project as a sophomore in January 2015. She received a BSc in Computer Science from UC Berkeley. Her other interests include web development as well as graphic design.

Qiyin Wu, BSc

Qiyin Wu received a BSc in Computer Science, Statistics and Math from UC Berkeley. Qiyin joined Telemonitoring group as a sophomore in January 2015. Beyond technology, his interests fall into sports, movies and writing.

Joany Gao, Bsc

Joany received a BSc in Computer Science from UC Berkeley. She hails from Burbank, CA and is a proud sister of Sigma Omicron Pi. Post-graduation, Joany hopes to attend graduate school for Statistics or Computer Science. Her main field of interests include computer security and big data. When she’s not researching, Joany enjoys reading, golfing, and trying new food.

Hannah Sarver, MEng

Hannah got truly excited about engineering the first time she wired a motor encoder up to a robot in high school. Her path through an undergraduate degree in Electrical and Computer Engineering at Olin College in Massachusetts brought her into the wonderful world of computing technology, all the way from the physics of transistors to programming graph-theory algorithms in Python. Throughout, she was challenged to use her developing engineering skills to solve problems. In industry, her next endeavor was implementing routing protocol features for Amazon's data center router operating system to help get your data through the Internet faster. Hannah's desire to never stop learning about hardware and software systems, and how to use them to make a difference in people's lives, brought her into the M.Eng program at UC Berkeley to study embedded systems in the EECS department and to work on the Berkeley Telemonitoring framework.

Uma Balakrishnan, MEng

Hailing from Mumbai, India, Uma received an M.Eng in the EECS department at UC Berkeley with a concentration in Robotics and Embedded Systems. After attending a robotics workshop in the 6th grade and making a little robot that followed a line of its own accord, robotics has always been on her mind. The idea of using a few lines of code to control complex physical systems is what lead her to pursue further studies and projects Embedded Systems. Among other things, Uma has worked on a myoelectrically controlled prosthetic arm and an FPGA based image processing system as an undergrad in Electronics and Communication Engineering. She has also completed short internships at Texas Instruments and Siemens in India. Having worked for three years with children at risk at a youth volunteer organization in India has made her realize that the right kind of technology could make a huge difference in the lives of those who suffer financially and socially. Uma hopes to use this knowledge and experience to build the kind of systems that would add to human dignity and potential.

Carlos A Asuncion, MEng

Carlos received a Masters of Engineering in Electrical Engineering and Computer Science from UC Berkeley. He completed his Bachelor's degree in EECS at Berkeley, during which he participated in a wide range of research projects. Including nano-phototransistor experiment design with the E3S Center, Autonomous Vehicle Sensory fusion with CAT Vehicle REU at the University of Arizona, and Model Predictive Control Design for Engine Control with the Vehicle Dynamics Lab at UC Berkeley. These research experiences have shaped his career path towards the Embedded Systems and Robotics field. Carlos is always excited to learn about new fields and applications that use system modeling and control. Applications pertaining to automotive industry or aeronautics industry are particularly interesting to Carlos.

Eugene Song, MEng

Eugene received an M.Eng degree in Electrical Engineering and Computer Science from UC Berkeley. He originally studied mechanical engineering with an emphasis in controls and mechatronics, but his interest in the EECS side of things grew as he spent several years programming motion controllers for robots in the semiconductor industry. Here, he learned about the challenges of working in real-time systems, dealing with limited computational resources and strict performance requirements. He later built a crazy fruit fly monitoring device for a neurobiology lab at Stanford, which involved tracking the fly with a camera on a motorized gantry while showing it animations on TV screens. These experiences working at the intersection of software and hardware have fostered an interest in robotics and embedded systems, and he hopes to find ways use his skills to affect change in an ever increasingly automated and connected world.

Lucas Serven, MEng

Lucas received an M.Eng degree in electrical engineering from UC Berkeley focusing on improving a telehealth platform for families on the verge of poverty, doctors, and researchers. Growing up in Washington DC, one of the cities with greatest income inequality in the nation, he spent his summers since high school volunteering in training and employment programs for the homeless, where he cultivated a passion for social justice. Now, Lucas aims to combine his years of industry experience in software engineering with his commitment to increasing access to resources for those in need in powerful and novel ways.

Caitlin Gruis, MEng

Caitlin received a Master of Engineering degree from UC Berkeley in EECS with a concentration in Robotics and Embedded Software. She comes to Berkeley after earning her undergraduate degree in Electrical Engineering at the University of Notre Dame. Caitlin’s love of engineering started at an early age, as she could often be found tinkering with Legos and building blocks. As she got older, her interests have developed into building more complex systems, particularly embedded systems projects involving Arduino or Raspberry Pi.

Kaidi (Kate) Du, MEng

Kaidi Du received the B.Sc. degree in Electrical Engineering from the Department of Electrical and Computer Engineering at Northeastern University, Boston, MA in 2016. During her last year at Northeastern University, she finished a senior honors research project about digitally programmable lowpass-notch filter design for CMOS front-ends in biosignal measurement applications. She also did two half-year internships in Greater Boston area. In January 2013 – June 2013, she was an electrical engineer in the power department at Massachusetts Bay Transportation Authority (MBTA), Boston, MA. In June 2014 – December 2014, she was a project management intern in the department of information technology management information system (ITMIS) at State Street Global Advisor (SSGA), Boston, MA. Besides technical works, she enjoys outdoor activities, especially hiking for getting around the city (in the good weather at least), and for pleasure.

Yu (Sean) Xiao, MEng

Yu Xiao received his B.Sc. degree from Purdue University and his MEng Degree from Berkeley. He has experience about embedded systems. He focuses on IoT for the future.

Gao Xian Peh, MSc

Gao Xian received his BSc in Computer Sciences and Economics from UC Berkeley and his MSc from Stanford University. His passion lies in making lives better for others. Pursuing that direction, he first started out as a social worker’s assistant before diving into economics research in a think-tank, an academic setting and within the government. His venture into technology was driven by his exposure to the unmet needs of non-profits and his failure to successfully launch a social enterprise. Upon graduation, he intends to attend graduate school in either Computer Sciences or Economics with the intent of joining the government to meet the technology and policy needs of non-profits.