11/14/2025 Dr. Sanjay Raman – UMass Amherst

An overview of quantum information systems research at UMass Amherst

Friday, November 14, 2025 11:15am, ITE 336

Abstract: This talk will provide an overview of ongoing quantum information systems – broadly defined to include computing, networking and sensing systems – research at UMass Amherst, including efforts under the NSF Center for Quantum Networks. Integrated photonic and trapped-ion approaches will be highlighted. We will also discuss some recent state-of-the-art cryogenic low-noise circuit results in silicon technologies that are applicable to superconducting qubit systems.

Bio-sketch: Dean Raman joined UMass from Virginia Tech (VT) where he was associate vice president for the VT National Capital Region, president and CEO of the Virginia Tech Applied Research Corporation, and a tenured full professor in their Bradley Department of Electrical and Computer Engineering (ECE). From 2007-13, Raman was a program manager in the Defense Advanced Research Projects Agency (DARPA) Microsystems Technology Office. Raman earned his doctorate in electrical engineering from the University of Michigan, Ann Arbor, in 1998 and joined the ECE faculty at VT. Prior to his doctoral studies at the University of Michigan, Raman served as a nuclear-trained submarine officer in the U.S. Navy from 1987-92. He is an elected fellow of the Institute for Electrical and Electronics Engineers (IEEE) for leadership in adaptive microwave and millimeter-wave integrated circuits. In recent years he has served as a member of the Defense Science Board, an elected member of the IEEE Microwave Theory and Technology Society Administrative Committee, and as co-General Chair of the 2024 IEEE International Microwave Symposium (IMS2024). He currently serves on the steering committee of the DARPA Microsystems Exploratory Council.

11/07/2025 Prof. Necmi Biyikli – UConn

Atomic Layer Deposition: How Surface Chemistry Works for Precision Materials Engineering from Semiconductor Chips to Solar, Batteries, and Implants

Friday, November 7, 2025 11:15am, ITE 336

Abstract: In this presentation, I would like to provide the current state-of-the-technology in semiconductor chip manufacturing – an engineering marvel that started in the early 1960s and became the most critical technology today fueling the age of AI. Then, I’ll introduce what atomic layer deposition (ALD) stands for and how this specific materials synthesis technique impacted semiconductor manufacturing – literally saving the whole industry at multiple inflection points. This will be followed by summarizing what other domains (energy, biomedical) have benefited from ALD materials and processing. I will end my talk by sharing our contributions to the field of plasma-assisted ALD of wide bandgap semiconductors for applications in computing, energy, catalysis, and wearables.

Biographical Sketch: Dr. Necmi Biyikli is an Associate Professor of Electrical & Computer Engineering at The University of Connecticut. His current research spans ALD of nanoscale semiconductor materials for CMOS, energy, sensing, and flexible electronics. He is a member of the American Vacuum Society (AVS), a Marie Curie Fellow (2010) and is the recipient of The Parlar Foundation Research Incentive Award (2014). See https://www.ee.uconn.edu/necmi-biyikli/

10/31/2025 Dr. Bo Tang – WPI

AI in Next-Generation Open Radio Access Networks (O-RANs)

Friday, October 31, 2025 11:15am, ITE 336

Abstract: Next-generation wireless systems beyond 5G will be defined by openness and intelligence. The Open Radio Access Network (O-RAN) framework embodies these principles through disaggregated architecture, open interfaces, and AI-driven control, enabling innovation and interoperability across vendors. This talk explores how artificial intelligence is transforming O-RAN into an adaptive, self-optimizing platform for intelligent wireless networks. The talk begins with an overview of the O-RAN framework and its AI integration opportunities, followed by our three recent research contributions. First, the O-RAN Performance Analyzer provides a comprehensive data collection and analysis system for monitoring xApp behavior, extracting key performance indicators (KPIs), and enabling closed-loop feedback to support reinforcement learning. Second, the LLM-based service provisioning engine automates the end-to-end machine learning pipeline, allowing operators to deploy AI services through natural-language specifications. Third, the Open AI Cellular Test (OAIC-T) framework introduces automated, distributed AI testing to evaluate the performance, robustness, and security of xApps and rApps. Together, these developments establish a unified foundation for closed-loop, AI-native O-RAN systems, advancing the vision of intelligent, trustworthy, and autonomous 6G networks.

Bio-sketch: Dr. Bo Tang is an Associate Professor in the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute. Prior to this, he was an Assistant Professor in the Department of Electrical and Computer Engineering at Mississippi State University (MSU) from 2017 to 2022, where he received the Emerging Research Scholar Award, the highest award and honor for assistant professors at MSU. His research focuses on bio-inspired artificial intelligence (AI), AI security, and their applications in next-generation wireless networks. He received his Ph.D. degree from the University of Rhode Island in 2016. Dr. Tang is a Senior Member of IEEE and an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems. Dr. Tang is also the recipient of the prestigious NSF CAREER Award in 2021 and NIJ New Investigator/Early Career Award in 2019. See https://www.wpi.edu/people/faculty/btang1