CPI's Annual Conference October 28, 2025
The University of Waterloo Cybersecurity and Privacy Institute (CPI) is proud to present its 7th Annual Conference. This full-day conference centres on the theme Emerging Talent. Future Leaders. and will highlight current and future efforts within the cybersecurity and privacy sphere through keynote speakers, panel discussions, and industry talks. It also includes a poster session showcasing cutting-edge research in the field from students of CPI faculty members. Overall, the event is a fantastic learning and networking opportunity between peers, academics, and industry professionals.
When: Tuesday, October 28, 2025 | Where: Federation Hall, University of Waterloo campus, 200 University Avenue | Breakfast and registration: 8 a.m.
Event registration deadline: Friday, October 10, 2025
Agenda
8 a.m. Registration & breakfast
9 a.m. Welcome address & state of CPI: N. Asokan (CPI)
9:15 a.m. Industry keynote: Anne Reinders (BTQ)
10 a.m. Networking break
10:30 a.m. Talk #1: Building efficient and safe large language models - from low-dimensional training to safety benchmarking - Sirisha Rambhatla
11:00 a.m. Poster session and lunch
1 p.m. Talk #2: Using formal methods to find network performance anomalies - Mina Tahmasbi Arashloo
1:30 p.m. Talk #3: Side-channel vulnerabilities in networking and AI systems - Sihang Liu
2 p.m. Talk #4: Navigating privacy and trust in the emerging era of human-robot interaction - Yue Hu
2:30 p.m. Networking break
3 p.m. Panel: Zero dollars for zero-days - navigating early-career security research - Seyed Majid Zahedi, Clemens Possnig, Sirisha Rambhatla and Ilyas Iyoob (Kyndryl); Moderated by Diogo Barradas
4 p.m. Talk #5: Challenges of RAM in privacy-preserving computations - Sajin Sasy (CISPA)
4:30 p.m. Awards ceremony
4:50 p.m. Closing remarks
Anne Reinders
Head of Cryptography, BTQ
Anne Reinders is a cryptographic acceleration specialist with over a decade of experience advancing hardware and software for secure systems. At BTQ, she leads the development of novel PQC accelerators and secure elements, continuing her work on processing-in-memory technology from Radical Semiconductor. Anne previously contributed to homomorphic encryption accelerators at Intel and Cornami, especially on low-level performance. In nine years at Intel Labs, she developed and improved cryptographic accelerators and software, including for the NIST PQC candidate BIKE, and pairing-based cryptosystem EPID.
Mina Tahmasbi Arashloo
CRC & Assistant Professor, Cheriton School of Computer Science
Mina Tahmasbi Arashloo is a Canada Research Chair in "Minimizing Human Error in Modern Networks" and an assistant computer science professor at the University of Waterloo. Her research focuses on programmable computer networks, specifically on designing and developing automated processes to program and reason about modern networks. In doing so, she brings in techniques from other computer science disciplines such as formal methods, programming languages, and hardware design. Prior to Waterloo, she was a presidential post-doctoral fellow at the computer science department of Cornell University, and received her Ph.D. from Princeton University, where she was advised by Jennifer Rexford. She has been named a Rising Star in Networking and Communications by N2Women in 2021 and her work has been recognized by the ACM SIGCOMM Doctoral Dissertation Award and Microsoft Research Dissertation Grant.
Sihang Liu
Assistant Professor, Cheriton School of Computer Science
Dr. Sihang Liu is an assistant computer science professor at the University of Waterloo. His research area lies broadly in computer systems. In particular, his work identifies and mitigates side-channel vulnerabilities in computer systems and generative AI applications. Professor Liu also works on system designs that mitigate carbon emissions in AI and cloud systems. He received a PhD degree at the University of Virginia in 2022, where his PhD research was supported by a Google Fellowship award.
Yue Hu
Assistant Professor & Director of the Active & Interactive Robotics Lab (AIRLab)
Dr. Yue Hu is an assistant professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. She holds a PhD in computer science from Heidelberg University, with postdoctoral training at Heidelberg and the Italian Institute of Technology. Prior to joining Waterloo, she held academic and research positions in Japan, including as a JSPS fellow at AIST and assistant professor at Tokyo University of Agriculture and Technology. Her research bridges physical-social human-robot interaction, collaborative and humanoid robotics, and optimal control, with a recent interest in cybersecurity and privacy in robotic systems. She investigates how robots can interact safely and meaningfully with people while preserving users’ privacy and protecting against cyber threats. Recent work includes studying traffic analysis vulnerabilities in teleoperated robots and developing defenses to mitigate fingerprinting risks, and privacy in interactions with social robots. Professor Hu is also a co-lead of the CRAFT (Cybersecure Robotics and Future Talent) initiative, a multidisciplinary training program focused on offensive and defensive cybersecurity in robotic platforms.
Seyed Majid Zahedi
Assistant Professor, University of Waterloo's Faculty of Engineering
Dr. Seyed Majid Zahedi is an assistant professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research lies at the intersection of computer architecture, computer systems, and theoretical computer science, with a focus on cybersecurity. Professor Zahedi received his Ph.D. in computer science from Duke University and his Bachelor of Science and Master of Science degrees in electrical and computer engineering from the University of Tehran.
Clemens Possnig
Assistant Professor, University of Waterloo's Department of Economics
Dr. Clemens Possnig is an economic theorist working at the intersection of economics and computer science. His research focuses on multi-agent learning to understand and shape the societal consequences of our transition to an algorithm-driven economy. He is particularly interested in the theoretical underpinnings that will ensure these systems are stable, fair, and beneficial to society.
Sirisha Rambhatla
Val O’Donovan Chair in Efficient, Safe, and Adaptive AI and Assistant Professor in MS&E
Sirisha Rambhatla, Ph.D., holds the Val O’Donovan Chair in Efficient, Safe, and Adaptive AI in the Faculty of Engineering and is an assistant professor in the Management Science and Engineering Department at the University of Waterloo, with cross-appointments in Systems Design Engineering and the David R. Cheriton School of Computer Science. As director of the Critical Machine Learning Lab, Dr. Rambhatla develops efficient and adaptive models that prioritize safety and reliability -- addressing the real-world demands of critical, data-scarce, and evolving environments in health care, manufacturing, aviation, and beyond. With over 50 publications and wide media coverage, her recognitions include the 2025 Outstanding Performance Award from the University of Waterloo, and the 2021 Merit Award for Excellence in Postdoctoral Research from the University of Southern California. She earned her Ph.D. and M.S. in electrical engineering from the University of Minnesota – Twin Cities, where she was awarded the E. Bruce Lee Memorial Fellowship.
Ilyas Iyoob
Chief Data Scientist, Global Head of Kyndryl Research
Dr. Ilyas Iyoob is chief data scientist and Global Head of Research at Kyndryl. He has pioneered the seamless interaction between machine learning and operations research in the fields of autonomous computing, fintech, and blockchain. As a successful entrepreneur at Gravitant, a start-up focused on optimizing the cloud journey, he helped build and sell the company to IBM in 2016. Dr. Iyoob currently advises over a dozen venture funded companies and serves on the faculty of the Cockrell School of Engineering at the University of Texas at Austin. He has earned a number of patents and industry recognition for cloud intelligence and was awarded the prestigious World Mechanics prize by the University of London.
Sajin Sasy
Tenure-Track Faculty, CISPA
Sajin Sasy (he/him) is a tenure-track faculty member at CISPA Helmholtz Center for Information Security. His research focuses on designing systems that provide strong security and privacy guarantees for individuals' data and communications online, through ideas spanning the fields of cryptography, computer security, and distributed systems. Sajin completed his PhD in the Cryptography, Security, and Privacy (CrySP) group at the University of Waterloo, where he was advised by Ian Goldberg.