Audience members seated during a presentation at the iCNS Launch.

Seminar Series

The Department of Electrical and Computer Engineering Seminar Series at Stevens Institute of Technology is an exciting opportunity to engage directly with the forefront of technological innovation. Through talks by leading researchers, industry experts and visionary engineers, our students gain exposure to real-world challenges and emerging trends in areas such as embedded systems, robotics, AI, wireless communications and cybersecurity.

Center for Innovative Computing and Networked Systems (iCNS) Distinguished Lectures

Spotlighting visionary leaders and groundbreaking research in computing, communications, and intelligent systems, the iCNS Distinguished Lectures offer students and faculty a unique opportunity to engage with global experts driving innovation in areas such as artificial intelligence, cybersecurity, edge computing, and next-generation networks.

Schedule of Upcoming Seminars

Explore this semester's lineup. Click on a seminar title to view details and register.

Fall 2025

September 24

Lin Chen, Ph.D. | Research Scientist, Stevens Institute of Technology

Tensor Techniques in Signal Processing and Machine Learning: Advances and Opportunities

October 1

Dr. Wei Xiao | Assistant Professor, Worcester Polytechnic Institute

Adaptive BarrierNet for Safe and Scalable Robot Learning

October 15

Dr. Cengcang Zeng, Postdoctoral Researcher | Department of Electrical and Computer Engineering, Stevens Institute of Technology

Signal Processing for Distributed RF Sensing in Complex Environments

October 22

Chunming Qiao | SUNY Distinguished Professor, University of Buffalo

Connected and Autonomous Vehicle Research and Experiments

View All Academic Events

For a complete overview of upcoming seminars, lectures, and academic events across all departments, please visit the Schaefer School's full event calendar.

Past Seminar Series Speakers

View speakers and seminar topics for the previous semesters.

Spring 2025 Seminar Series

Gonzalo Constante Flores, Purdue University
Integrating Machine Learning for Safe and Sustainable Power System Operation

Xingpeng Li, University of Houston
Addressing the Emerging Low-Inertia Challenge for Future Renewable Energy-Rich Power Grids

Xianbang Chen, Postdoctoral Fellow, Stevens Institute of Technology
Boosting Power System Operation Economics via Closed-Loop Predict-and-Optimize

Xiaochan Xue, Ph.D. Candidate, Stevens Institute of Technology
Enhancing Security and Privacy in Distributed Wireless Networks Through Physical Layer Techniques

Sai Qian Zhang, New York University
The Importance of AI Efficiency in AR/VR

Zoran Obradovic, Temple University
iCNS Distinguished Lecture: Lifting the Fog by Harnessing Interactions Across Diverse Systems

John-Ross (JR) Rizzo, New York University Langone Health-Rusk Rehabilitation
iCNS Distinguished Lecture: New Frontiers in AI-Assistance for Vision Rehabilitation

Ali R. Butt, Virginia Tech
Enabling Fundamental Cacheability for Distributed Deep Learning Training

Weilun Wang, Ph.D. Candidate, Stevens Institute of Technology
On Broader Distributed Energy Resource Aggregations in Unit Commitment Problems

Victor Lawrence, Jawad Siddiqui, Katherine August, Ajay K. Poddar, and Emre Tokgoz, IEEE Antennas and Propagation Society
IEEE-Supported Emerging Technologies Addressing Humanitarian Technology, Global Warming, and Green Energy Solutions

Zexin Liu, Ph.D. Candidate, Stevens Institute of Technology
Enhancing Energy Equity in Wholesale Electricity Market Operations

Fall 2024 Seminar Series

Bo Luo, University of Kansas
Machine Learning and Cybersecurity: A Tale of Two Buzzwords

Dr. Hongyi Wang, GenBio.ai
Research Seminar: LLM360: Towards Fully Transparent Open-Source LLMs

Ning Xie, College of Electronic and Information Engineering, Shenzhen University, China
Advances and Rethinking of Physical Layer Security Technologies

Philip Odonkor, Stevens Institute of Technology
Harnessing the Synergy of Diverse Urban Building Clusters: Redefining DER Integration for Resilient Cities

MengChu Zhou, New Jersey Institute of Technology
Accelerating Evolutionary Algorithms to Solve High-Dimensional Expensive Problems via Autoencoders

James C. M. Hwang, Cornell University
iCNS Distinguished Lecture: 3D Heterogeneous Integrated Sub-THz Transceiver Front End

Spring 2024 Seminar Series

Gloria Kim, University of Florida
Energy-Efficient MetaConductors for Convergence of Sustainable Electronics (E-MC2 of Sustainable Electronics): An NSF Convergence Accelerator Phase 1 Experience

Md Abu Sayeed, Stevens Institute of Technology
Epileptic Seizure Detection and Control in the Internet of Things (IoT) Framework

Ramakrishna Vedantam, researcher, technologist and innovator
Measuring and Improving the Internal Conceptual Representations of Deep Learning

Wenjing Lou, Virginia Tech
Mobile Tracking and Anti-Tracking Cellular Authentication in 5G Networks

Xinwen Fu, University of Massachusetts Lowell
A Unified View of IoT and CPS Security and Privacy

Chitra Venkatraman, IEEE North Jersey Section
360° Mentoring: Organic Fertilizer for Your Engineering Journey to Grow and Flourish

Jingang Yi, Rutgers University
Motion Control of Underactuated Balance Robots

Thitima Srivatanakul, York College, CUNY
Designing Cybersecurity Escape Rooms: A Gamified Approach to Undergraduate Learning

Fall 2023 Seminar Series

Kevin Lu, Stevens Institute of Technology
Research Ethics and Writing: How to Ensure the Research Meets the Ethical Guidelines and Writing Style

Tao Han, New Jersey Institute of Technology
Dynamic Machine Learning Inference at Mobile Edge

Honggang Wang, Yeshiva University
AIoT for Wireless Health

Yuzhang Lin, New York University
Resilient Situational Awareness for Smart Grids

Richard Al Hadi, Université du Quebec
RF Imaging Solutions in Silicon Technology

Hongyi “Michael” Wu, University of Arizona
Securing the Future of AI: Deep Learning Backdoor Attacks and Defenses

Nikhil Muralidhar, Stevens Institute of Technology
Parsimonious Deep Learning with Human Feedback Under Computational Constraints

Huaxia Wang, Rowan University
Exploring the Artificial Intelligence for Wireless Communication Applications

Cunxi Yu, University of Maryland, College Park
A Computer Engineering Journey to Optical Neural Networks: Infrastructure, Algorithms, and Co-design

Rickard Ewetz, University of Central Florida
Towards Efficient and General Artificial Intelligence Using In-Memory Computing