Vincent Mooney attended Yale University as an undergraduate and earned his BS in Electrical Engineering in 1991. He then went to San Sebastian, Spain where he attended the University of Navarra and earned a Certificate of Graduate Study in 1992.
Dr. Mooney continued his graduate education at Stanford University where he earned a MS in Electrical Engineering in 1994, a MA in Philosophy in 1997, and his Ph.D. in Electrical Engineering in 1998. Dr. Mooney joined the ECE faculty in 1998.
- Ph.D., Electrical Engineering, Stanford University, 1998
- M.A., Philosophy, Stanford University, 1997
- M.S., Electrical Engineering, Stanford University, 1994
- B.S., Electrical Engineering & Computer Science, Yale University, 1991
Professor Mooney’s research focuses on securing digital systems using reconfigurable logic and cryptographic principles. His group develops cryptographic hardware, permuted‑data computation methodologies, and defense mechanisms for hardware‑oriented security and trust.
Professor Mooney's teaching interests include hardware/software codesign, microchip security, and computer‑aided VLSI design at the undergraduate and graduate levels. His instruction emphasizes theoretical rigor, practical implementation, and analytical skill development.
- National Semiconductor Fellowship, 9/97 - 6/98
- AT&T Engineering Scholarship Program, 9/87 - 5/91
- NCAA Postgraduate Scholar, 1991
- Jim Clarke Award for excellence in and enthusiasm for EE
- Honorable Mention, National Defense Science & Engineering Graduate Fellowship Program, 4/93 & 4/94
- Senior Member - IEEE
- Member - Association for Computing Machinery
- NSF Career Award, 6/00
- S. Grijalva et al., “Hardware‑Based Authentication Solution for Securing Electrical Grids,” IEEE Transactions on Industry Applications, 2025.
- A. Allahverdi, V. Mooney, “Hardware‑Efficient AEAD Stream Cipher…,” IEEE CSR 2025.
- K. Hutto, V. Mooney, “Implementing a Privacy Homomorphism…,” ACM TECS 24(2), 2025.
- D. Gordon et al., “Scalable Nonlinear Sequence Generation…,” IACR Communications in Cryptology, 2025.
- O. Blanchette et al., “Linguistic Encryption for Underwater Communication,” MECO 2024, Best Paper Award.