Invited Speaker Series

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

The Invited Speaker Series will resume for the spring 2026 semester.

Past Seminars

  • 2025-26

    Dr. Karthik Dantu

    Autonomous Culvert Inspection Using Legged Robots
    *Co-Hosted by ÑÇÖÞÇéÉ«-Robotics

    Dr. Dong Xu

    Applications of AI Language Models for Biomedical Research

    Dr. Jian Pei

    Data and AI Markets: A Data Science Perspective

    Dr. Daniel Krutz

    Tactic Volatility in Self-Adaptive Systems
    *Co-Hosted by CIAC

    Dr. Tapomayukh Bhattacharjee

    Physical Intelligence for Physical Care: Towards Stakeholder-Informed Caregiving Robots in the Real World
    *Co-hosted by Bing-Robotics Seminar Talks

  • 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

    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

    Computational Visual Pathways for Multi-Task Learning and Simulation 

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

    Eugene Santos Jr.

    Inferring and Understanding Team Behavior Through Learning Rewards and Reward Structures: Interference and Human-Machine Teams

  • 2020-21

    Emery Berger

    Performance (Really) Matters

    Jinjun Xiong

    A Statistical Distribution-based Deep Neuron Network Model – A New Perspective on Effective Learning

  • 2019-20

    Steven Loscalzo

    Extrapolating from one data point: a data scientist's career trajectory

    Issam El Naqa

    Towards a Practical Implementation of Artificial Intelligence in Oncology

    Ruofei "Bruce" Zhang

    Cognitive Services and Deep Learning in Search Advertising

    Daniel Williams

    From Unikernels to Nabla Containers

  • 2018-19

    Peter Stone

    Efficient Robot Skill Learning; Grounded Simulation Learning and Imitation Learning from Observation

    Patrick Groeneveld
    Stanford University
    Engineering Efficient Electric Vehicles

    Chang Wen Chen

    Internet of Video Things (IoVT): Next Generation IoT with Visual Sensors

    Beth Plale

    Capsule Computing: Safe Open Science

    Nael Abu-Ghazaleh

    Computer System Security - An Architecture Perspective

    Srini Devadas

    Secure Speculative Execution Processors

    Yi Wang

    Quantitative susceptibility mapping (QSM): physics, algorithm and applications

  • 2017-18

    Stephen Chong

    Software contracts for fun and profit (and security and microservices)

    Eduard Dragut

    Leveraging Social Media Signals for Record Linkage

    Hanan Samet

    Reading News with Maps by Exploiting Spatial Synonyms

    Qiang Ji

    Integrating Prior Knowledge and Data for Efficient Visual Learning

    Henry Kautz

    Mining Social Media to Improve Public Health


    Prashant Shenoy

    Designing Systems and Applications for Transient Computing


    Chenyang Lu

    Dependable Internet of Things


    Geoffrey Fox

    Designing a Big Data Toolkit spanning HPC, Grid, Edge and Cloud Computing


    David Kaeli

    A Cross-layer Approach to Accelerating Heterogeneous Computing

  • 2016-17

    R. Sekar

    Provenance-Based Policy Enforcement: A Unified Approach for Vulnerability Mitigation, Malware Defense and Attack Scenario Reconstruction

    Donald Porter

    BetrFS: Write-Optimization in a Kernel File System

    Edward Suh

    Secure Multi-Core Processors with Comprehensive and Verifiable Information Flow Control

    Trent Jaeger

    Fine-Grained Control-Flow Integrity for Kernel Software

    David Wentzlaff

    Processors for the Data Center and Cloud of the Future

    James Anderson

    The One-Out-Of-m Multicore Problem

    Santosh Nagarakatte

    Lightweight Formal Methods for LLVM Verification

    Josep Torrellas

    Toward Extreme-Scale Manycore Architectures

    Serge Belongie

    Fine Grained Visual Category Recognition and Perceptual Embedding

  • 2015-16

    Heng Yin

    Semantics-Centric Approach to Fight Android Malware