I'm interested in creating computing systems that leverage modern software and hardware technologies
to transform domains such as buildings, city infrastructure, education and sustainability. I like to create
practical applications that enhances current systems and enables innovation. My research projects apply principles
from software engineering, embedded systems, machine learning and human computer interaction.
My current focus is in the area of sustainability, particularly building energy efficiency. Towards this goal, my colleagues and I have created low power wireless sensors, web-services platforms for hosting building management services, and data driven algorithms for organizing information and detecting faults. I have also conducted studies to understand challenges from users perspective and how their participation can impact building energy consumption.
I recently completed my PhD from UC San Diego, and have joined UC Los Angeles as a Postdoctoral Scholar with Prof. Mani Srivastava.
I am a Postdoctoral Scholar at University of California, Los Angeles, working with
I did my PhD in Computer Science at UC San Diego, and my advisors were
Yuvraj Agarwal and
Rajesh Gupta. My PhD research
focused on improving energy efficiency of buildings, by creating software applications
that exploit existing infrastructure to provide services such as information organization,
fault detection, personalized control and occupancy sensing. My Masters research focused on
creating low power, low cost, wireless sensors that augment the existing building infrastructure.
During my PhD, I worked as an intern with Dr. Du Li at Ericsson Research, where I created an WiFi based occupancy sensing solution. As a Masters student, I also worked with Prof. Ramesh Rao at Calit2, improving energy efficiency of 802.11b protocol using software defined radio.
I got my Bachelor of Technology in Electronics and Communication Engineering from Visvesvaraya National Institute of Technology. During my undergrad, I worked with Prof. Ashwin Kothari to apply machine learning techniques for handoff prediction in cellular networks. I also worked with Prof. Aliasgar Contractor at IIT Bombay, to create Lab-on-Chip sensors using microelectronic manufacturing technologies.
Brick: Towards a Unified Metadata Schema For BuildingsBharathan Balaji, Arka Bhattacharya, Gabriel Fierro, Jingkun Gao, Joshua Gluck, Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario Berges, David Culler, Rajesh Gupta, Mikkel Baun Kjærgaard, Mani Srivastava, Kamin Whitehouse
ACM Conference on Embedded Systems For Energy-Efficient Built Environments (BuildSys), 2016
Audience Choice Award, Nominated for Best Paper Award
Genie: A Longitudinal Study Comparing Physical and Software Thermostats in Office BuildingsBharathan Balaji, Jason Koh, Nadir Weibel, Yuvraj Agarwal
ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2016