Colloquia Series

Throughout the year, faculty members invite speakers from industry and other universities to give public colloquia in the department. These talks are extremely important to help the Department of Computer Science & Engineering to stay abreast of developments in the field and encouraging productive relationships with researchers outside the department.


2018-2019 Schedule

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The 2018-2019 talks have concluded. The information on the participating speakers is listed below.

Earlier Talks

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Dr. Dennis Goldfarb
Postdoctoral Research Associate; University of North Carolina-Chapel Hill
Title: "Novel Data Analysis and Acquisition Methods to Improve Protein Sequencing by Mass Spectrometry"
View Abstract
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Dr. Alan Burns
Professor; Department of Computer Science
University of York, U.K
Title: "A Timeband Framework for Modelling Real-Time Systems"
View Abstract
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Dr. Ting Wang
Assistant Professor; Computer Science and Engineering Department
Lehigh University
Title: "Trustworthy Machine Learning from Untrusted Models"
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Dr. Yu Cheng
Postdoctoral Researcher; Department of Computer Science
Duke University
Title: "Robustness and Strategic Concerns in Machine Learning"
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Dr. Jaideep Vaidya
RBS Deans Research Professor; MSIS Department
Rutgers University
Title: "Engineering Secure and Privacy-preserving Systems"
View Abstract
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Chuchu Fan
PhD Candidate; Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
Title: "Verification and Synthesis Algorithms for Safe Autonomy"
View Abstract
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Anrin Chakraborti
PhD Candidate; Department of Computer Science
Stony Brook University
Title: "Fast, Scalable Systems for Data Privacy"
View Abstract
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Qi Li
Postdoc and Adjunct Professor; Department of Computer Science
University of Illinois at Urbana-Champaign, IL
Title: "Pattern-Based Mining of Entity/Relation Structures from Massive Text"
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Ashay Rane
PhD Candidate; Department of Computer Science
University of Texas, Austin
Title: "Broad-Based Side-Channel Defenses for Modern Microarchitectures"
View Abstract
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Netanel Raviv
Postdoc; Department of Computer Science
California Institute of Technology
Title: "Codes, Computation, and Privacy in Data Science"
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Shuochao Yao
PhD Candidate
Department of Computer Science; University of Illinois, Urbana-Champaign
Title: "Deep Learning for the Internet of Things"
View Abstract
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Dr. Peter Stone
David Bruton, Jr. Centennial Professor and Associate Chair of Computer Science; Chair of the Robotics Portfolio Program
University of Texas at Austin
Title: "Efficient Robot Skill Learning: Grounded Simulation Learning and Imitation Learning from Observation"