CGSW 6.0 Agenda

January 17, 2019
Breakfast and Registration: 8:00am-8:45am
Workshop: 9:00am-5:00pm (8 St. Mary’s St., PHO 210)
Reception: 5:30pm-7:30pm (The Castle, 225 Bay State Rd)

Begins Ends Talk Title Presenter
8:00am 8:45am Breakfast & Registration
8:45am 8:50am Welcome: CGSW 6.0 Student Organizers Eric Cooper, Noushin Mehdipour, Artin Spiridonoff
8:50am 9:00am Opening Remarks Yannis Paschalidis, CISE Director
9:00am 9:30am Machine Intelligence for Healthcare Amir Tahmasebi, Project Manager, Senior Research Scientist, Philips
Session 1: Imaging 
9:30am 9:45am Outlier Detection in Visual SLAM  Arman Karimian
(Advisor: Professor Roberto Tron)
9:45am 10:00am Source Shot Noise Mitigation in Scanned Beam Microscopy  Minxu Peng
(Advisor: Professor Vivek Goyal)
10:00am 10:15am Single Photon Detection with Dead Time  Joshua Rapp
(Advisor: Professor Vivek Goyal)
10:15am 10:30am Computational Periscopy with an Ordinary Digital Camera Charles Saunders
(Advisor: Professor Vivek Goyal)
10:30am 10:45am Consistent Multi-Robot Object Matching  Zachary Serlin
(Advisors: Professors Roberto Tron and Calin Belta)
10:45am 11:00am Break
Session 2: Network Security
11:00am 11:15am HotFuzz- Discovering Algorithmic Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing  William Blair
(Advisor: Professor Manuel Egele)
11:15am 11:30am Bias in Joint Spectral Embeddings  Benjamin Draves
(Advisor: Professor Daniel Sussman)
11:30am 11:45am Churn in the Bitcoin Network- Characterization and Impact  Muhammad Anas Imtiaz
(Advisor: Professor David Starobinski)
11:45am 12:00pm Causal Inference under Network Interference with Noise  Wenrui Li
(Advisors: Professors Eric Kolaczyk and Daniel Sussman)
12:00pm 12:15pm Network Effects and Default Clustering for Large Pools  Jia Yang
(Advisor: Professor Konstantinos Spiliopoulos)
12:15pm 12:30pm BORDERPATROL- Securing BYOD Using Fine-Grained Contextual Information  Onur Zungur
(Advisor: Professor Manuel Egele)
12:30pm 1:30pm Lunch: Lobby, 15 St. Mary’s St.
1:30pm 2:00pm On Stochastic Gradient Descent for Distributionally Robust Learning Soumyadip Ghosh, Research Staff Member, Thomas J. Watson Research Center, IBM
Session 3: Machine Learning
2:00pm 2:15pm Application Detection through Rich Monitoring Data  Emre Ates
(Advisor: Professor Ayse K. Coskun)
2:15pm 2:30pm A Linguistic Basis for Narcissism  Andrew Cutler
(Advisor: Professor Brian Kulis)
2:30pm 2:45pm Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions  Taiyao Wang
(Advisor: Professor Yannis Paschalidis)
2:45pm 3:00pm Break
Session 4: Optimization
3:00pm 3:15pm Bayesian Optimization for New Materials Development  Athar Roshandelpoor
(Advisor: Professor Pirooz Vakili)
3:15pm 3:30pm Robust Asynchronous Stochastic Gradient-Push  Artin Spiridonoff
(Advisor: Professor Yannis Paschalidis)
3:30pm 3:45pm Data Center Demand Response Modeling Using Inverse Optimization  Athanasios Tsiligkaridis
(Advisor: Professor Yannis Paschalidis)
3:45pm 4:00pm A Distributed Boosting Function Approach for Escaping Local Minima in Multi-Agent Coverage Control Problems  Shirantha Welikala
(Advisor: Christos Cassandras)
4:00pm 4:15pm Break
Session 5: Autonomous Vehicles
4:15pm 4:30pm Eco-Routing and Scheduling of Connected and Autonomous Vehicles- User-Centric vs. System Centric  Arian Houshmand
(Advisor: Christos Cassandras)
4:30pm 4:45pm Decentralized Optimal Merging Control for Connected and Automated Vehicles  Wei Xiao
(Advisors: Professors Christos Cassandras and Calin Belta)
4:45pm 5:00pm Closing Remarks Yannis Paschalidis, CISE Director
5:30pm 7:30pm Reception & Awards Ceremony at the Castle