The production of patterns in gene expression in an ensemble of cells is a phenomenon central to the development of multicellular organisms. The design and engineering of pattern formation systems in a model organism are of significant impact to both emerging efforts at engineering multicellularity in the synthetic biology community as well as new guidance for those groups looking for similar phenomena in natural systems. In this talk I will present a brief overview of my work in designing and engineering spontaneous pattern formation systems in E. coli based on Turing pattern formation (i.e. diffusion-driven instability) and contact-dependent inhibition (CDI).
Justin Hsia is a postdoc and part-time lecturer at the University of California, Berkeley. He received dual B.S. degrees in Electrical Engineering and Computer Sciences (EECS) and Mechanical Engineering from UC Berkeley in 2007. After working at Lockheed Martin, he returned to UC Berkeley to work on his Ph.D. in EECS, where he studied design and analysis of synthetic biological networks with Murat Arcak, focusing on patterning systems. Before finishing his Ph.D. in 2015, Justin gained extensive teaching experience in both EE and CS courses, including as an instructor.
Vehicular ad hoc networks (VANETs) have emerged as a serious and promising candidate for providing ubiquitous communications, connecting vehicles to other vehicles traveling on the roads or vehicles to the Internet and other wide-area networks. This emerging communications platform can facilitate a number of vehicular applications especially those that fall into the Intelligent Transportation Systems domain. In this talk, we propose and present the recent efforts of one of the ITS application, namely the Virtual Traffic Light (VTL) application. VTL is a self-organizing traffic control scheme that proposes the migration of traffic lights as roadside-based infrastructures to in-vehicle virtual signs supported only by vehicle-to-vehicle communications. It was proposed with an aim to address and alleviate the traffic congestion problem which has been worsened for the past decade. The VTL protocol was designed to be able to dynamically adjust its operation to optimize the flow of traffic in road intersections without requiring any roadside infrastructure. The talk will conclude with compelling evidence that our proposal is a scalable and cost-effective solution to urban traffic control and practice issues regarding the implementation and actual deployment of the proposed VTL framework.
Wantanee Viriyasitavat is a lecturer in the Faculty of Information and Communication Technology at Mahidol University, Bangkok, Thailand and is also a faculty member in the Department of Telematics, Norwegian University of Science and Technology, Norway. During 2012-2013, she was a Research Scientist in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), Pittsburgh, PA. She received her B.S./M.S., and Ph.D. degrees in Electrical and Computer Engineering from CMU in 2006 and 2012, respectively. Between 2007-2012, she was a Research Assistant at Carnegie Mellon University, where she was a member of General Motors Collaborative Research Laboratory (CRL) and was working on the design of a routing framework for safety and non-safety applications of vehicular ad hoc wireless networks (VANETs). Dr. Viriyasitavat has published more than 30 conference and journal publications. Her research interests include traffic mobility modeling, network connectivity analysis and protocol design for intelligent transportation systems.