Dr. Ashwin Ashok

Dr. Ashwin Ashok is an Assistant Professor in the Dept. of Computer Science at Georgia State University (GSU) since Spring 2017 and direct the MORSE Studio. His research group focuses on emerging technologies in Mobile and Robotic Systems through experiential research. His work spans areas in communications and networking, robotics, environmental systems and privacy/security. He completed my postdoctoral research from Carnegie Mellon University in 2016 and my Ph.D. from Wireless Information Network Lab (WINLAB) at Rutgers University in 2014. His thesis pioneered camera–based communication through a novel concept called visual MIMO. He has founded and continues to co–chair the ACM Wearable Systems and Applications (WearSys) workshop since 2015. He serves on the program committee for several ACM and IEEE conferences and journals, Editor for Elsevier Vehicular Communications, Guest Editor for the special issue on Visible Light and Camera Communications in MDPI Electronics journal, and in the working committee for IEEE P1920.2 (Vehicle to Vehicle Communications for Unmanned Aircraft Systems) standard.

Dr. Anu Bourgeois

Dr. Anu Bourgeois’ research focuses on algorithm design, architecture, fault tolerance, and energy efficiency for wireless and optical networks. She has proposed a dynamically reconfigurable model composed of pipelined optical buses and developed a number of efficient algorithms for the model, including some for molecular dynamics simulation and image processing. She is currently working on issues for wireless sensor networks. These networks have a wide range of applications such as industrial and commercial control and monitoring, military, automotive sensing, health care, and precision agriculture. The nodes in the network coordinate to perform a common task, so the problem of energy waste can cause node failure and eventually make the whole network unusable because of network partition. To address these issues, she is studying methods to extend the lifetime for wireless sensor networks. This includes developing energy efficient protocols, optimizing the utilization of resources available, and investigating techniques to defend against malicious attacks.

Dr. Raj Sunderraman

Dr. Raj Sunderraman's research focuses on deductive databases and logic programming, data modeling, knowledge engineering, Semantic Web, bioinformatics, geoinformatics. Incomplete and inconsistent databases: This research deals with methods to effectively represent and query various kinds of incompleteness and inconsistencies in relational databases. In early research, pioneering work was done to represent and query relational database with disjunctive information. Later, for the first time, a data model and relational algebra was introduced to represent and query relational databases under the open world assumption with explicit negative data. More recently, data models for degrees of exclusive disjunctions as well as generalized disjunctions in paraconsistent databases have been developed. Bioinformatics/neuroinformatics: Research in bioinformatics involves the invention as well as application of database and knowledge-base technologies in the life science domain. One of the projects involves the design and implementation of a knowledge-base to catalog neuronal circuitry. NeuronBank is a web-based tool that we have developed for cataloging, searching, and analyzing neuronal circuitry within and across species. Information from a single species is represented in an individual branch of NeuronBank. Users can search within a branch or perform queries across branches to look for similarities in neuronal circuits across species. The branches allow for an extensible ontology so that additional characteristics can be added as knowledge grows. In another project, we have developed a programming environment to store, query, and manipulate protein structure data. The structure data from the Protein Data Bank (PDB) is imported into an object-oriented database; a middleware system allows life scientists to work with protein structure data without having to learn much of the computer representation of the data.

Dr. Yingshu Li

Dr. Yingshu Li received her PhD and MS degrees from the Department of Computer Science and Engineering at University of Minnesota-Twin Cities. She received her BS degree from the Department of Computer Science and Engineering at Beijing Institute of Technology, China. Dr. Li is currently a Professor in the Department of Computer Science at Georgia State University. Her research interests include Privacy-aware Computing, Internet of Things, Social Networks, and Wireless Networking. Dr. Li is the recipient of an NSF CAREER Award. Dr. Li’s research has been being supported by the National Science Foundation, U.S. Department of State, and some other academic and industrial sponsors. Dr. Li regularly publishes in scholarly journals, conference proceedings, and books, and her publications have received more than 10,000 citations.