Congratulations CGSW 6.0 Winners!
Congratulations to all participants of our annual CISE Graduate Student Workshop (CGSW 6.0). This year’s event, held January 17th at Boston University, was a spectacular day highlighting the caliber and diversity of research being conducted by our graduate students. Through a competitive submissions process, 20 PhD students were selected to present their original research. Following the presentations, a reception was held at The Castle where students were awarded Best Presenters by event attendees through a vetted voting process. Close to 100 students, faculty, alumni, and industry guests attended CGSW this year.
CGSW 6.0 Best Presenter Awards
Best Presenter
Arian Houshmand: “Eco-Routing and Scheduling of Connected and Autonomous Vehicles (CAV)” (Advisor: Christos Cassandras). Arian’s research presentation focused on how CAVs can increase the energy efficiency of our daily commute by making collaborative decisions. Using a game theoretic approach, he assigns socially optimal routes to CAVs to minimize the total energy consumption of all vehicles. Arian also studies the effect of CAV penetration rate (% of CAVs in the system) on total travel time and energy consumption in cities.
2nd Place
William Blair: “HotFuzz: Discovering Algorithmic Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing” (Advisor: Manuel Egele). William presented the HotFuzz framework, which he developed in collaboration with students from Boston University and Northeastern University. Additionally, he presented evaluation results that demonstrate micro-fuzzing as an effective approach for detecting AC vulnerabilities in real-world software.
3rd Place
Athar Roshandelpoor: “Bayesian Optimization for New Materials Development” (Advisor: Pirooz Vakili). Athar presented Bayesian optimization, including Gaussian Process, and the Expected Improvement, and the advantages of their application in guiding experimentation in new materials design and development.
Industry guest speakers from Philips and IBM
Attendees of CGSW 6.0 also learned about important areas of research underway at Philips and IBM. Amir Tahmasebi, Technical Team Lead and Senior Research Scientist, Philips Research, presented on “Machine Intelligence for Healthcare”. Soumyadip Ghosh, Research Staff Member, IBM, presented on “On Stochastic Gradient Descent for Distributionally Robust Learning“
Phenomenal Cross-disciplinary Event developed by CGSW 6.0 Student Organizers
CGSW 6.0 Student Organizers – Eric Cooper (Math/Stats), Noushin Mehdipour (SE), and Artin Spiridonoff (SE) – developed a phenomenal CGSW 6.0 Agenda that brought together students and faculty from a variety of disciplines, promoting cross-disciplinary communication and an enjoyable opportunity to socialize among students, faculty, industry guests, and alumni.
The CGSW 6.0 research agenda focused on current themes in Imaging, Network Security, Machine Learning, Optimization, and Autonomous Vehicles. Student presenters from Electrical & Computer Engineering, Mechanical Engineering, Mathematics, Statistics, and Systems Engineering participated.
About the CISE Graduate Student Workshop (CGSW)
Organized by students, for students, the CISE Graduate Student Workshop (CGSW) is a day-long, annual event that encourages interdisciplinary sharing among CISE students and CISE faculty affiliates across diverse application areas. CGSW gives participants the opportunity to share their research and hone their presentation skills in an engaging, collaborative environment. Since its beginning in 2013, CGSW remains a unique event that brings students and faculty together to listen, learn, share feedback, and have fun!