AWednesday, January 10, 2024: Dr. Junyu Liu
Quantum Scientist, University of Chicago and IBM

“Quantum machine learning: from near-term to fault-tolerance”
View Dr. Liu’s seminar flyer

Monday, January 22, 2024: Dr. Junzhe Zhang
Postdoctoral Research Scientist, Columbia University

“Towards Causal Reinforcement Learning”
View Dr. Zhang’s seminar flyer

Wednesday, January 31, 2024: Dr. Jakub Szefer
Associate Professor of Electrical Engineering & Computer Science, Yale University

“Architectures for Secure Quantum Computing Systems”
View Dr. Szefer’s seminar flyer

Wednesday, February 7, 2024: Dr. Harry Shomer
PhD Candidate, Michigan State University

“Efficient and Fair Knowledge Graph Comparison”
View Dr. Shomer’s seminar flyer

Wednesday, February 14, 2024: Dr. Enyan Dai
PhD Candidate, Penn State University

“Trustworthiness in Graph Learning”
View Dr. Dai’s seminar flyer

Wednesday, February 21, 2024: Dr. Jiawei Ma
PhD Candidate, Columbia University

“Self-Adaptive Artificial Intelligence in the Wild”
View Dr. Ma’s seminar flyer

Thursday, February 22, 2024: Dr. Kaitlin Gili
University of Oxford

“Intentionally Designing Models for Learning Tasks with Quantum Mechanics”
View Dr. Gili’s seminar flyer

Monday, February 26, 2024: Dr. Shangqian Gao
PhD Candidate, Swanson School of Engineering, University of Pittsburgh

“Efficient Machine Learning Methods: from Convolutional Neural Networks to Large Language Models”
View Dr. Gao’s seminar flyer

Monday, April 1, 2024: Dr. Ella McPherson
Associate Professor in the Sociology of New Media and Digital Technology
University of Cambridge

“Digital Fiction in Human Rights and Humanitarianism Images”
View Dr. McPherson’s seminar flyer

Tuesday, April 2, 2024: Dr. Sudeep Pasricha
Professor in the Department of Electrical and Computer Engineering
Colorado State University

“Environmentally Sustainable Cloud Computing”
View Dr. Pasricha’s seminar flyer

Tuesday, August 22, 2023: Dr. Kelsey Fulton
Assistant Professor, Computer Science
Colorado School of Mines

“Understanding Security Mental Models of End Users and Professionals”
View Dr. Fulton’s seminar flyer

Tuesday, September 5, 2023:  Dr. Kristi Porter
National Renewable Energy Labratory (NREL)
“Moving from Uncertainty Visualization to Actionable Decision Making”
View Dr. Porter’s seminar flyer  

Thursday, September 7, 2023:  Dr. Daniel Wong
UC Riverside
“Improving Efficiency of GPU-based Machine Learning
Systems through Co-location”
View Dr. Wong’s seminar flyer
*Location: Hill Hall 202, 4:00-5:00pm

Tuesday, September 19, 2023: Dr. Jakub Szefer
Associate Professor of Electrical Engineering & Computer Science
Yale University
“Security of quantum computing systems”
View Dr. Szefer’s seminar flyer

Tuesday, October 3, 2023: Dr. Qin (Christine) Lv
Professor and Co-Associate Chair for Graduate Education in the Department of Computer Science University of Colorado Boulder
“Data-driven Scientific Discovery and Ubiquitous Computing: Systems, Algorithms, Applications”​
View Dr. Lv’s seminar flyer

Tuesday, October 31, 2023: Dr. Guannan Li
Assistant Professor, Computer Science
Colorado School of Mines
View Dr. Guannan’s seminar flyer

Monday, November 13, 2023: Dr. Ulya Karpuzca
Assistant Professor, Computer Science
University of Minnesota
Abstract/Bio coming soon
Location: TBD

Tuesday, November 14, 2023: Dr. Juliane Miller
National Renewable Energy Labratory (NREL)
View Dr. Miller’s seminar flyer

Tuesday, November 28, 2023: Dr. Nathan Pemberton
Amazon Web Services
View Dr. Pemberton’s seminar flyer

* In person only if time or location changes the department will send out an announcement.  

Thursday, January 12, 2023:  Mariah Schrum
Graduate Research Assistant, CORE Robotics Lab- Georgia Tech 
View Mariah Schrum’s seminar flyer.

Monday, January 23, 2023:  Dr. Tan Nguyen
Postdoc, Department of Mathematics
University of California, Los Angeles
“Principled Frameworks for Designing Deep Learning Models: Efficiency, Robustness, and Representability”   
View Dr. Nguyen’s seminar flyer.

Monday, January 30, 2023:  Yinglun Zhu
PH.D. Candidate in Computer Science
University of Wisconsin-Madison
“Interactive Machine Learning: From Theory to Scale”
View Yinglun Zhu’s seminar flyer.

Monday, February 6, 2023:  Chenhan Xu
PH.D. Candidate in the Department of Computer Science and Engineering
The State University of New York at Buffalo
“Towards Precision Sensing in IoT for Human Interaction, Healthcare, and Beyond”
View Chenhan Xu’s seminar flyer.

Tuesday, February 7, 2023:  Dr. Xiaoyong (Brian) Yuan
Assistant Professor, College of Computing
Michigan Technological University
“Security and Privacy in the Era of Machine Learning”
View Dr. Yuan’s seminar flyer.

Wednesday, February 8, 2023:  Dr. Jonathan Gammell
Adjunct Fellow, Oxford Robotics Institute
The University of Oxford
“Measuring and Planning Motion in Robotics”
View Dr. Gammell’s seminar flyer.

Thursday, February 16, 2023:  Dr. Kaveh Fathian
Research Scientist, MIT Aerospace Controls Laboratory
Massachusetts Institute of Technology
“Trustworthy Autonomy for Internet for Robot Teams”
View Dr. Fathian’s seminar flyer.

Thursday, February 23, 2023:  Sian Jin
PH.D. Candidate in the Department of Intelligent Systems Engineering
Indiana University
“HPC Applications via Predictable and Reliable Data Reduction”
View Sian Jin’s seminar flyer.

Monday, February 27, 2023:  Geng Yuan
PH.D. Candidate in Computer Engineering
Northeastern University
“Towards Efficient Deep Neural Network Interference and Training for Ubiquitous AI”
View Geng Yuan’s seminar flyer.

Tuesday, February 28, 2023:  Dr. Sabrina Neuman
Post Doc, NSF Computing Innovation Fellow
Harvard University
“Designing Computing Systems for Robotics and Physically Embodied Deployments”
View Dr. Sabrina Neuman’s seminar flyer.

Wednesday, March 1, 2023:  Yili Ren
PH.D. Candidate in the Department of Computer Science
Florida State University
“Intelligent Wireless Systems: From Human Sensing to Object Detection”
View Yili Ren’s seminar flyer.

Tuesday, March 7, 2023:  Dr. Bartosz Krawczyk
Assistant Professor in the Department of Computer Science
Virginia Commonwealth University
“Continual Learning from Streaming, Evolving, and Imbalanced Data”
View Dr. Krawczyk’s seminar flyer.

Wednesday, March 8, 2023:  Kelsey Fulton
PH.D. Candidate, Computer Science (Security.Privacy.People SP2 Lab)
University of Maryland
“Understanding and Improving Secure Development from a Human-Centered Perspective”
View Kelsey Fulton’s seminar flyer.

Monday, March 13, 2023:  Dr. Minjia Zhang 
Principal Researcher, Microsoft 
“Efficient System and Algorithm Design for Large-Scale Deep Learning Training and Inference”
View Dr. Zhang’s seminar flyer.

* In person only if time or location changes the department will send out an announcement.