Invited Speaker Series
The Computer Science Department 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.
Friday, March 29, 2024
Dr. Sajal Das
From Smart Sensing to Smart Living, The Era of IoT, AI and Data Science
Past talks
Thursday, November 30
Dr. Gary Tan
Professor at Penn State's Institute for Networking and Security Research
Debugging Machine Learning for Fairness
Thursday, Oct. 5, 2023
Professor Raj Jain
Washington University - St. Louis
Effect of Quantum Computing on Blockchains
https://binghamton.zoom.us/j/91737026113 at noon
Tuesday, Nov. 15, 2022
Sarit Kraus
Bar-Ilan University
Intelligent Agents That Learn to Collaborate with People
https://binghamton.zoom.us/j/99767833042 at 9 a.m.
Friday, Nov. 4, 2022
Thomas Eiter
Vienna University of Technology
Enhancing AI Capabilities by Rules: Applications and Opportunities
https://binghamton.zoom.us/j/95137607503 at 10 a.m.
Friday, 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
https://binghamton.zoom.us/j/91369718963 at 12 p.m.
Friday, Oct. 15, 2021
Huan Liu
Arizona State University
Social Media Mining: A Bountiful Frontier in AI and Data Science
https://binghamton.zoom.us/j/99375934143 at 12 p.m.
Oct. 8, 2021
Eugene Santos Jr.
Dartmouth College
Inferring and Understanding Team Behavior Through Learning Rewards and Reward Structures:
Interference and Human-Machine Teams
https://binghamton.zoom.us/j/92872321997 at 12 p.m.
Dec. 11, 2020
Emery Berger
Professor, University of Massachusetts - Amherst
Performance (Really) Matters
https://binghamton.zoom.us/j/94028873916 at noon
Oct. 16, 2020
Jinjun Xiong
Researcher and Program Director for AI and Hybrid Clouds Systems, IBM Thomas J. Watson
Research Center
A Statistical Distribution-based Deep Neuron Network Model – A New Perspective on
Effective Learning
https://binghamton.zoom.us/my/lijunyin, 1 p.m.
Nov. 26, 2019
Steven Loscalzo
Principal Associate Data Scientist, Capital One
Extrapolating from one data point: a data scientist's career trajectory
UU room 108, 1:30 p.m.
Nov. 22, 2019
Issam El Naqa
University of Michigan, Ann Arbor, Mich.
Towards a Practical Implementation of Artificial Intelligence in Oncology
FA room 258, 12 p.m.
Nov. 1, 2019
Ruofei "Bruce" Zhang
Microsoft
Cognitive Services and Deep Learning in Search Advertising
FA room 258, 12 p.m.
Oct. 18, 2019
Daniel Williams
IBM T.J. Watson Research Lab
From Unikernels to Nabla Containers
EB room T-1, 12 p.m.
April 29, 2019
Peter Stone
University of Texas at Austin
Efficient Robot Skill Learning; Grounded Simulation Learning and Imitation Learning
from Observation
LH 07, 12 p.m.
April 5, 2019
Patrick Groeneveld
Stanford University
Engineering Efficient Electric Vehicles
EB 110, 12 p.m.
Feb. 13, 2019
Chang Wen Chen
University at Buffalo
Internet of Video Things (IoVT): Next Generation IoT with Visual Sensors
EB 110, 3:30 p.m.
Dec. 7, 2018
Beth Plale
Indiana University - Bloomington
Capsule Computing: Safe Open Science
EB 110 at noon
Oct. 19, 2018
Nael Abu-Ghazaleh
University of California - Riverside
Computer System Security - An Architecture Perspective
Fine Arts 258 at noon
Sept. 28, 2018
Srini Devadas
Massachusetts Institute of Technology
Secure Speculative Execution Processors
Fine Arts 258 at noon
Sept. 12, 2018
Yi Wang
Cornell University
Quantitative susceptibility mapping (QSM): physics, algorithm and applications
EB R15 at noon
April 20, 2018
Stephen Chong
Harvard University
Software contracts for fun and profit (and security and microservices)
EB 110 at noon
March 30, 2018
Eduard Dragut
Temple University
Leveraging Social Media Signals for Record Linkage
EB R15 at noon
March 9, 2018
Hanan Samet
University of Maryland
Reading News with Maps by Exploiting Spatial Synonyms
EB 110 at noon
November 6, 2017
Qiang Ji
Rensselaer Polytechnic Institute
Integrating Prior Knowledge and Data for Efficient Visual Learning
UU 206 at noon
November 2, 2017
Henry Kautz
University of Rochester
Mining Social Media to Improve Public Health
AA G021 at 4:00 p.m.
October 30, 2017
Prashant Shenoy
University of Massachusetts
Designing Systems and Applications for Transient Computing
UU 206 at noon
October 20, 2017
Chenyang Lu
Washington University in St.Louis
Dependable Internet of Things
FA 258 at noon
October 13, 2017
Geoffrey Fox
Indiana University
Designing a Big Data Toolkit spanning HPC, Grid, Edge and Cloud Computing
FA 258 at noon
September 27, 2017
David Kaeli
Northeastern University
A Cross-layer Approach to Accelerating Heterogeneous Computing
Lecture Hall 7 at noon
April 25, 2017
R. Sekar
Stony Brook University
Provenance-Based Policy Enforcement: A Unified Approach for Vulnerability Mitigation,
Malware Defense and Attack Scenario Reconstruction
Lecture Hall 10 - 1:15 p.m.
March 31, 2017
Donald Porter
University of North Carolina at Chapel Hill
BetrFS: Write-Optimization in a Kernel File System
FA 258 (Fine Arts Building) - 1:30 p.m.
December 2, 2016
Edward Suh
Cornell University
Secure Multi-Core Processors with Comprehensive and Verifiable Information Flow Control
EB 110 (Engineering Building) - 12 p.m.
November 18, 2016
Trent Jaeger
Penn State University
Fine-Grained Control-Flow Integrity for Kernel Software
EB 110 (Engineering Building) - 12 p.m.
November 1, 2016
David Wentzlaff
Princeton University
Processors for the Data Center and Cloud of the Future
FA 258 (Fine Arts Building) - 12 p.m.
October 28, 2016
James Anderson
University of North Carolina at Chapel Hill
The One-Out-Of-m Multicore Problem
EB 110 (Engineering Building) - 12 p.m.
October 11, 2016
Santosh Nagarakatte
Rutgers University
Lightweight Formal Methods for LLVM Verification
FA 258 (Fine Arts Building) - 1:30 p.m.
September 30, 2016
Josep Torrellas
University of Illinois at Urbana-Champaign
Toward Extreme-Scale Manycore Architectures
EB 110 (Engineering Building) - 12 p.m.
September 16, 2016
Serge Belongie
Cornell Tech.
Fine Grained Visual Category Recognition and Perceptual Embedding
EB 110 (Engineering Building) - 12 p.m.
May 2, 2016
Heng Yin
Syracuse University (now at UC Riverside)
Semantics-Centric Approach to Fight Android Malware
R15 (3rd Floor, Engineering Building) - 12 p.m.
