Spring 2018: Tim Matchen
Tim Matchen is a 4th year Ph.D. candidate working under advisor Professor Jeffrey Moehlis in the Mechanical Engineering Department at the University of California, Santa Barbara. He received his B.S. in Mechanical and Aerospace Engineering from Princeton University. His research focuses on developing phase models for Parkinsonian neurons as well as developing electrical control signals to alleviate the symptoms associated with Parkinson’s disease.
Tim was born in Millburn, New Jersey. As an undergraduate at Princeton he interned at both Los Alamaos National Labs and Princeton’s 3D Audio Lab. Tim’s advisor, Jeffrey Moehlis, stated, "It has been a great pleasure working with Tim. His recent paper on controlling a population of neurons to achieve a clustered state is a particularly nice piece of work which suggests a novel paradigm for treating Parkinson's disease using deep brain stimulation." In his free time Tim likes to watch TV, play video games and attend a local spin class.
Winter 2018: Jorge Poveda
Jorge I Poveda is a Ph.D. Candidate in the Electrical and Computer Engineering department at the University of California, Santa Barbara working under Professor Andrew R. Teel. He was a Research Intern with the Mitsubishi Electric Research Laboratories in Cambridge, MA during the summers of 2016 and 2017. He received the 2013 CCDC Outstanding Scholar Fellowship at UCSB, and was a finalist for the Best Student Paper Award at the 56th IEEE Conference on Decision and Control in 2017. Jorge’s research combines tools from robust hybrid systems, optimization, adaptive control and game theory in order to analyze and design robust feedback mechanisms for cyber physical systems. Before coming to UCSB he received his M.S and B.S degrees from the University of Los Andes, Bogota, Colombia where he worked in population dynamics and evolutionary game theory under the supervision of Professor Nicanor Quijano.
Fall 2017: Chitra Karanam
Chitra Karanam is a Ph.D. student working under the guidance of Professor Yasamin Mostofi in the Electrical and Computer Engineering department at the University of California Santa Barbara. She received her B.Tech and M.Tech degrees in Electrical Engineering from the Indian Institute of Technology Madras in 2014, and her M.S. in Electrical and Computer Engineering from University of California Santa Barbara in 2016. Her research is in the field of RF sensing and robotics. She is currently working on using unmanned vehicles and drones for 3D through-wall imaging with RF signals such as WiFi.
Chitra's advisor, Yasamin Mostofi, wished to say a few words about her contributions to the lab: "Chitra has been working on imaging through walls with WiFi and drones for the past couple of years in my lab. This is an extremely challenging problem at the intersection of robotics and communications. It further requires both theoretical expertise and experimental developments, a combination that may not be of interest to many students. Chitra has done great on this project, contributing to through-wall sensing fundamentals while developing the needed hardware to test new methodologies. I am proud of her accomplishments."
In Chitra’s spare time she can be found out on a local hiking trail or playing squash with friends. In her down time she likes to read and relax.
Summer 2017: Philip Brown
Philip Brown is a Ph.D student from Colorado who has been working under Faculty member Jason Marden. His research focuses on the consequences of ignoring information in multi-agent systems. After receiving his B.S. in Electrical Engineering from Georgia Tech he went on to help start a biodiesel production company in Tennessee. In 2012 he went back to school to receive his M.S from the University of Colorado before transferring here to UCSB. His advisor Jason Marden writes:
“It is widely known that social systems can exhibit highly inefficient system-level behavior. Accordingly, there has been a significant research focus on the derivation of mechanisms for influencing social behavior to improve the efficiency of such systems. Philip's research has sought to address the robustness of these influencing mechanisms. More formally, is it possible to successfully influence a given social system in situations where a system-operator has uncertainties pertaining to how the actors in a society will respond to the influencing mechanisms. Focusing on the role of taxation mechanisms in transportation networks, Philip's results have identified how the information available to the system operator, pertaining to both the characteristics of the underlying network and the population's sensitivities to taxes, directly ties into the system operator's ability to do this essential task.”
Brown’s long-term goals are to collaborate with economists and computer scientists to gain a better understanding on the impact of social behavior on engineering design criteria. In his downtime he can be found on long runs or at his house making beer, wine, and bread for friends.
Spring Quarter 2017: Kyriakos Vamvoudakis
Kyriakos G. Vamvoudakis was recently awarded the “International Neural Network Society (INNS) Young Investigator Award” for his pioneering engineering contributions in the area of neuro-inspired control systems and adaptive dynamic programin. By designing a family of optimal adaptive learning systems for continuous-time systems, Kyriakos was able to allow for the first time the learning solution of complicated continuous-time Hamilton-Jacobi equations that serve as the basis for optimal and game theoretic design both online and in real-time without full information of the system dynamics.
Fascinated by the idea that complicated systems can be brought under our control by manipulating mathematical equations, Kyriakos moved from Greece to the US to pursue his Electrical Engineering degree from the University of Texas, Arlington. Later he moved to UC Santa Barbara where he has been working as a research scientist under Joao Hespanha ever since. He currently teaches an undergraduate class called “Basic Electrical and Electronic Circuits” in the Mechanical Engineering Department at UCSB, and conducts research in the general area of network security, game theory, smart grids and multi-agent optimization.
Outside of the lab, Kyriakos enjoys hiking, playing the piano and exploring local restaurants. He also appreciates escaping to nearby Santa Monica or Malibu to unwind at the local beaches. He can regularly be seen at the local Coffee Bean, along with other colleagues, discussing exciting upcoming projects as well as collaborating on recent research findings. He also travels back to Greece at least once a year to visit his family and friends.