Invited Speaker Series | Binghamton University

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

September 15: Lynn Marie Church B.A., A.A.S., & Sean Gleason Ph.D., M.A., B.A.
Nalaquq, LLC
Bridging Indigenous Knowledge, Applied Science, and Technology to Strengthen Community Resilience

Past Seminars

2025-26

Dr. Karthik Dantu
Associate Professor, University at Buffalo
Autonomous Culvert Inspection Using Legged Robots
*Co-Hosted by Binghamton-Robotics

Dr. Dong Xu
Distinguished Professor, University of Missouri-Columbia
Applications of AI Language Models for Biomedical Research

Dr. Jian Pei
Distinguished Professor, Duke University
Data and AI Markets: A Data Science Perspective

Dr. Daniel Krutz
Associate Professor, RIT
Tactic Volatility in Self-Adaptive Systems
*Co-Hosted by CIAC

Dr. Tapomayukh Bhattacharjee
Assistant Professor, Cornell University
Physical Intelligence for Physical Care: Towards Stakeholder-Informed Caregiving Robots in the Real World
*Co-hosted by Bing-Robotics Seminar Talks

Dr. Jiawei Han
Michael Aiken Chair Professor, University of Illinois Urbana-Champaign
Knowledge Structuring for Reasoning with Large Language Models
2024-25

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

Steven Rostedt
ChromeOS base OS Performance Team, Google
printf("Hello World!"); in C on Linux. What exactly does that do?

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

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

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

Sajal Das
From Smart Sensing to Smart Living, The Era of IoT, AI and Data Science

Gary Tan
Professor at Penn State's Institute for Networking and Security Research
Debugging Machine Learning for Fairness

Raj Jain
Washington University - St. Louis
Effect of Quantum Computing on Blockchains
2022-23

Sarit Kraus
Bar-Ilan University
Intelligent Agents That Learn to Collaborate with People

Thomas Eiter
Vienna University of Technology
Enhancing AI Capabilities by Rules: Applications and Opportunities
2021-22

Rogerio Schmidt Feris
Principal scientist and manager at the MIT-IBM Watson AI lab
Computational Visual Pathways for Multi-Task Learning and Simulation

Huan Liu
Arizona State University
Social Media Mining: A Bountiful Frontier in AI and Data Science

Eugene Santos Jr.
Dartmouth College
Inferring and Understanding Team Behavior Through Learning Rewards and Reward Structures: Interference and Human-Machine Teams
2020-21

Emery Berger
Professor, University of Massachusetts - Amherst
Performance (Really) Matters

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

Steven Loscalzo
Principal Associate Data Scientist, Capital One
Extrapolating from one data point: a data scientist's career trajectory

Issam El Naqa
University of Michigan, Ann Arbor, Mich.
Towards a Practical Implementation of Artificial Intelligence in Oncology

Ruofei "Bruce" Zhang
Microsoft
Cognitive Services and Deep Learning in Search Advertising

Daniel Williams
IBM T.J. Watson Research Lab
From Unikernels to Nabla Containers
2018-19

Peter Stone
University of Texas at Austin
Efficient Robot Skill Learning; Grounded Simulation Learning and Imitation Learning from Observation

Patrick Groeneveld
Stanford University
Engineering Efficient Electric Vehicles

Chang Wen Chen
University at Buffalo
Internet of Video Things (IoVT): Next Generation IoT with Visual Sensors

Beth Plale
Indiana University - Bloomington
Capsule Computing: Safe Open Science

Nael Abu-Ghazaleh
University of California - Riverside
Computer System Security - An Architecture Perspective

Srini Devadas
Massachusetts Institute of Technology
Secure Speculative Execution Processors

Yi Wang
Cornell University
Quantitative susceptibility mapping (QSM): physics, algorithm and applications
2017-18

Stephen Chong
Harvard University
Software contracts for fun and profit (and security and microservices)

Eduard Dragut
Temple University
Leveraging Social Media Signals for Record Linkage

Hanan Samet
University of Maryland
Reading News with Maps by Exploiting Spatial Synonyms

Qiang Ji
Rensselaer Polytechnic Institute
Integrating Prior Knowledge and Data for Efficient Visual Learning

Henry Kautz
University of Rochester
Mining Social Media to Improve Public Health

Prashant Shenoy
University of Massachusetts
Designing Systems and Applications for Transient Computing

Chenyang Lu
Washington University in St. Louis
Dependable Internet of Things

Geoffrey Fox
Indiana University
Designing a Big Data Toolkit spanning HPC, Grid, Edge and Cloud Computing

David Kaeli
Northeastern University
A Cross-layer Approach to Accelerating Heterogeneous Computing
2016-17

R. Sekar
Stony Brook University
Provenance-Based Policy Enforcement: A Unified Approach for Vulnerability Mitigation, Malware Defense and Attack Scenario Reconstruction

Donald Porter
University of North Carolina at Chapel Hill
BetrFS: Write-Optimization in a Kernel File System

Edward Suh
Cornell University
Secure Multi-Core Processors with Comprehensive and Verifiable Information Flow Control

Trent Jaeger
Penn State University
Fine-Grained Control-Flow Integrity for Kernel Software

David Wentzlaff
Princeton University
Processors for the Data Center and Cloud of the Future

James Anderson
University of North Carolina at Chapel Hill
The One-Out-Of-m Multicore Problem

Santosh Nagarakatte
Rutgers University
Lightweight Formal Methods for LLVM Verification

Josep Torrellas
University of Illinois at Urbana-Champaign
Toward Extreme-Scale Manycore Architectures

Serge Belongie
Cornell Tech.
Fine Grained Visual Category Recognition and Perceptual Embedding
2015-16

Heng Yin
Syracuse University (now at UC Riverside)
Semantics-Centric Approach to Fight Android Malware