Invited Speaker Colloquia Series
The School of Computing hosts leading researchers who are making exciting and influential contributions in a variety of important areas. The talks are open to students, staff and faculty.
Upcoming Seminars
There are currently no upcoming seminars. The Invited Speaker Series is set to resume early next year for the Spring 2026 Semester.
Past Seminars
November 12, 2025*
Dr. Karthik Dantu
Associate Professor, University at Buffalo
Autonomous Culvert Inspection Using Legged Robots
*Co-Hosted by Binghamton-Robotics
October 31, 2025
Dr. Dong Xu
Distinguished Professor, University of Missouri-Columbia
Applications of AI Language Models for Biomedical Research
October 3, 2025
Dr. Jian Pei
Distinguished Professor, Duke University
Data and AI Markets: A Data Science Perspective
September 25, 2025*
Dr. Daniel Krutz
Associate Professor, RIT
Tactic Volatility in Self-Adaptive Systems
*Co-Hosted by CIAC
2024-25
February 28, 2025
Dr. Eric T. Wong
Research Professor, Brown University; Attending Neuro-Oncologist, Rhode
Island Hospital
The Multimodality Treatments for Glioblastoma, A Brief Overview
Edwin Lok, M.S, DABR
Board-certified clinical Radiation Oncology Physicist at Signature
Healthcare of Brockton, part of the U.S. Oncology network
A Synopsis of Tumor Treating Fields Modeling
February 21, 2025
Steven Rostedt
ChromeOS base OS Performance Team, Google
printf("Hello World!"); in C on Linux. What exactly does that do?
November 8, 2024
Alex Jones
Klaus Schroder Endowed Chair Professor of Engineering and Computer Science and Department
Chair of EECS, Syracuse University
Quantum Topology and ISA Collaborative Optimizations for Reduced Noise NISQ Circuits
October 18, 2024
Jinjun Xiong
University at Buffalo
What are the possible future directions in an era of machine learning
for everything? A humble reflection on machine learning for EDA
September 25, 2024
Yanmei Tie
Assistant Professor of Neurosurgery at Brigham and Women's Hospital, Harvard Medical
School
Developing Easy-to-perform fMRI Paradigms for Neurosurgery Brain Mapping
2023-24
March 29, 2024
Sajal Das
From Smart Sensing to Smart Living, The Era of IoT, AI and Data Science
November 30, 2023
Gary Tan
Professor at Penn State's Institute for Networking and Security Research
Debugging Machine Learning for Fairness
October 5, 2023
Raj Jain
Washington University - St. Louis
Effect of Quantum Computing on Blockchains
2022-23
November 15, 2022
Sarit Kraus
Bar-Ilan University
Intelligent Agents That Learn to Collaborate with People
November 4, 2022
Thomas Eiter
Vienna University of Technology
Enhancing AI Capabilities by Rules: Applications and Opportunities
2021-22
March 11, 2022
Rogerio Schmidt Feris
Principal scientist and manager at the MIT-IBM Watson AI lab
Computational Visual Pathways for Multi-Task Learning and Simulation
October 15, 2021
Huan Liu
Arizona State University
Social Media Mining: A Bountiful Frontier in AI and Data Science
October 8, 2021
Eugene Santos Jr.
Dartmouth College
Inferring and Understanding Team Behavior Through Learning Rewards and Reward Structures:
Interference and Human-Machine Teams
2020-21
December 11, 2020
Emery Berger
Professor, University of Massachusetts - Amherst
Performance (Really) Matters
October 16, 2020
Jinjun Xiong
Researcher and Program Director, IBM Thomas J. Watson Research Center
A Statistical Distribution-based Deep Neuron Network Model – A New Perspective on
Effective Learning
2019-20
November 26, 2019
Steven Loscalzo
Principal Associate Data Scientist, Capital One
Extrapolating from one data point: a data scientist's career trajectory
November 22, 2019
Issam El Naqa
University of Michigan, Ann Arbor, Mich.
Towards a Practical Implementation of Artificial Intelligence in Oncology
November 1, 2019
Ruofei "Bruce" Zhang
Microsoft
Cognitive Services and Deep Learning in Search Advertising
October 18, 2019
Daniel Williams
IBM T.J. Watson Research Lab
From Unikernels to Nabla Containers
2018-19
April 29, 2019
Peter Stone
University of Texas at Austin
Efficient Robot Skill Learning; Grounded Simulation Learning and Imitation Learning
from Observation
April 5, 2019
Patrick Groeneveld
Stanford University
Engineering Efficient Electric Vehicles
February 13, 2019
Chang Wen Chen
University at Buffalo
Internet of Video Things (IoVT): Next Generation IoT with Visual Sensors
December 7, 2018
Beth Plale
Indiana University - Bloomington
Capsule Computing: Safe Open Science
October 19, 2018
Nael Abu-Ghazaleh
University of California - Riverside
Computer System Security - An Architecture Perspective
September 28, 2018
Srini Devadas
Massachusetts Institute of Technology
Secure Speculative Execution Processors
September 12, 2018
Yi Wang
Cornell University
Quantitative susceptibility mapping (QSM): physics, algorithm and applications
2017-18
April 20, 2018
Stephen Chong
Harvard University
Software contracts for fun and profit (and security and microservices)
March 30, 2018
Eduard Dragut
Temple University
Leveraging Social Media Signals for Record Linkage
March 9, 2018
Hanan Samet
University of Maryland
Reading News with Maps by Exploiting Spatial Synonyms
November 6, 2017
Qiang Ji
Rensselaer Polytechnic Institute
Integrating Prior Knowledge and Data for Efficient Visual Learning
November 2, 2017
Henry Kautz
University of Rochester
Mining Social Media to Improve Public Health
October 30, 2017
Prashant Shenoy
University of Massachusetts
Designing Systems and Applications for Transient Computing
October 20, 2017
Chenyang Lu
Washington University in St.Louis
Dependable Internet of Things
October 13, 2017
Geoffrey Fox
Indiana University
Designing a Big Data Toolkit spanning HPC, Grid, Edge and Cloud Computing
September 27, 2017
David Kaeli
Northeastern University
A Cross-layer Approach to Accelerating Heterogeneous Computing
2016-17
April 25, 2017
R. Sekar
Stony Brook University
Provenance-Based Policy Enforcement: A Unified Approach for Vulnerability Mitigation,
Malware Defense and Attack Scenario Reconstruction
March 31, 2017
Donald Porter
University of North Carolina at Chapel Hill
BetrFS: Write-Optimization in a Kernel File System
December 2, 2016
Edward Suh
Cornell University
Secure Multi-Core Processors with Comprehensive and Verifiable Information Flow Control
November 18, 2016
Trent Jaeger
Penn State University
Fine-Grained Control-Flow Integrity for Kernel Software
November 1, 2016
David Wentzlaff
Princeton University
Processors for the Data Center and Cloud of the Future
October 28, 2016
James Anderson
University of North Carolina at Chapel Hill
The One-Out-Of-m Multicore Problem
October 11, 2016
Santosh Nagarakatte
Rutgers University
Lightweight Formal Methods for LLVM Verification
September 30, 2016
Josep Torrellas
University of Illinois at Urbana-Champaign
Toward Extreme-Scale Manycore Architectures
September 16, 2016
Serge Belongie
Cornell Tech.
Fine Grained Visual Category Recognition and Perceptual Embedding
2015-16
May 2, 2016
Heng Yin
Syracuse University (now at UC Riverside)
Semantics-Centric Approach to Fight Android Malware