Bio

Dr. Dominick Rizk, Ph.D., is currently a professor in the department of Electrical Engineering and Computer Science at the Catholic University of America and the director of Center for Advanced Research in Computer Engineering (CARCE). Dr. Rizk received the B.E. degree in computer and communication engineering Summa Cum Laude highest honor distinction from Notre Dame University. He received his M.S. and Ph.D. degrees in Computer Engineering from the University of Louisiana at Lafayette (R1 Carnegie classification) while maintaining a perfect grade point average. He co-founded the Laboratory for Advanced Studies Research. He served as a Post-doctoral Research Fellow at ULL. His area of specialization is comprised of the dynamic relationship between software and hardware. His research interests include hardware security, social cybersecurity, high-level computational systems, artificial intelligence, data science and analytics, Internet of Medical Things (IoMT), data privacy and security, quantum and neuromorphic computing, conservative logic, high-performance computer architecture, deep learning optimization, hardware-software co-design, heterogeneous computing, Field Programmable Gate Arrays (FPGA), VLSI, AI hardware accelerators, and emerging technologies. Dr. Rizk has collaborated actively with researchers in several other disciplines of informatics, computer science, and engineering, ranging from theory to design to implementation, and has published several research papers in top-tier conferences and journals. He has also served as a reviewer for numerous prestigious conferences and journals as well. Dr. Rizk has also served as a judge for the Louisiana Region VI Science and Engineering Fair. As a researcher and advocate for innovation, he is constantly seeking new ways to apply cutting-edge technologies to solve real-world problems and improve the lives of people.

Dr. Rizk is a licensed Professional Engineer with a wide range of industry expertise and a member of the Order of the Engineer in the United States. He is the recipient of the prestigious ULL Dissertation Completion Fellowship, a lifetime member of the Phi Kappa Phi honor society, and a professional member of ACM and IEEE. He is also a member of the IEEE Young Professionals, IEEE Women in Engineering, IEEE Biometrics Council, IEEE Council on Electronic Design Automation, IEEE Council on RFID, IEEE Council on Superconductivity, IEEE Nanotechnology Council, IEEE Sensors Council, IEEE Systems Council , IEEE Computer Society Special Technical Community on Autonomous Driving Technologies, IEEE Computer Society Special Technical Community on Cyber Security, IEEE SIGHT, IEEE Computer Society Special Technical Community on Internet of Everything, IEEE Quantum Community, IEEE Standards Association, IEEE Computer and Quantum Society. Dr. Rizk is also the recipient of many prestigious awards including the President's Award for Educational Excellence and Outstanding Academic Achievement and the Ragin' Leadership Academy Award.

Beyond academia, Dr. Rizk's community service efforts are distinctive and extensive. He serves as a volunteer with a number of state and non-profit organizations and was named a Goodwill Ambassador.

Teaching

Fall 2023

• CSC 390 - Computer Organization and Architecture

Student Mentees

Graduate Mentees

• Alireza Omidi (Ph.D. Electrical Engineering and Computer Science) (Fall 2023 - present)

Selected Publications

• Dominick Rizk, Rodrigue Rizk, Frederic Rizk and Ashok Kumar, "An Economic Uniqueness-Improved Reliable Reconfigurable RO PUF for IoT Security," 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 1680-1684.
• Dominick Rizk, Rodrigue Rizk, Ashok Kumar, and Magdy Bayoumi, “A Cost-Efficient Reversible-Based Configurable Ring Oscillator Physical Unclonable Function,” 2021 IEEE 34th International System-on-Chip Conference (SOCC), 2021, pp. 79-82.
• Dominick Rizk, Rodrigue Rizk, Frederic Rizk and Ashok Kumar, “An In-Situ Sliding Window Approximate Inner-Product Scheme Based on Parallel Distributed Arithmetic for Ultra-Low Power Fault-Tolerant Applications,” 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021, pp. 503-506.
• Dominick Rizk, Rodrigue Rizk, Frederic Rizk, and Ashok Kumar, “An In-Situ Sliding Window Approximate Inner-Product Scheme Based on Distributed Arithmetic for Ultra-Low Power Fault-Tolerant Applications,” 2021 IBM IEEE CAS/EDS – AI Compute Symposium, 2021.
• Dominick Rizk, Rodrigue Rizk and Sonya Hsu, “Applied Layered-Security Model to IoMT,” 2019 IEEE International Conference on Intelligence and Security Informatics (ISI), 2019, pp. 227-227.
• Dominick Rizk, “An In-Situ Sliding Window Approximate Inner-Product Scheme Based on Parallel Distributed Arithmetic for Ultra-Low Power Fault-Tolerant Applications,” R1 University Research Showcase, 2022.
• Rodrigue Rizk, Dominick Rizk, Frederic Rizk, and Ashok Kumar, “A Hybrid Capsule Network-based Deep Learning Framework for Deciphering Ancient Scripts with Scarce Annotations: A Case Study on Phoenician Epigraphy,” 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021, pp. 617-620.
• Rodrigue Rizk, Dominick Rizk, Frederic Rizk, and Ashok Kumar, “A Hybrid Capsule Network-based Deep Learning Architecture for Deciphering Ancient Scripts with Scarce Annotations,” 2021 IBM IEEE CAS/EDS – AI Compute Symposium, 2021.
• Frederic Rizk, Dominick Rizk, Rodrigue Rizk and Ashok Kumar, "A Cost-Efficient Reversible-Based Reconfigurable Ring Oscillator Physical Unclonable Function," 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 1685-1689.
• Rodrigue Rizk, Dominick Rizk, Frederic Rizk, Ashok Kumar and Magdy Bayoumi, "A Resource-Saving Energy-Efficient Reconfigurable Hardware Accelerator for BERT-based Deep Neural Network Language Models using FFT Multiplication," 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 1675-1679.
• Rodrigue Rizk, Dominick Rizk, Frederic Rizk, and Ashok Kumar, “An Efficient Capsule Network Reconfigurable Hardware Accelerator for Deciphering Ancient Scripts with Scarce Annotations,” 2021 34th IEEE International System-on-Chip Conference (SOCC),
• Rodrigue Rizk, Dominick Rizk, Ashok Kumar, and Magdy Bayoumi, “Demystifying Emerging Nonvolatile Memory Technologies: Understanding Advantages, Challenges, Trends, and Novel Applications,” 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019, pp. 1-5.
• Rodrigue Rizk, Dominick Rizk, Vijay Srinivas Tida, and Sonya Hsu, “War on “Fact Check” -- the Path to Magic 270,” Social-cybersecurity in Times of Crisis and Change, Center for Informed Democracy and Social - cybersecurity (IDeaS), Carnegie Mellon University, 2020.
• Chady El Moucary, Abdallah Kassem, Dominick Rizk, Rodrigue Rizk, Sawan Sawan and Walid Zakhem, "Commodious Control Apparatus for Impaired People," 2022 International Conference on Microelectronics (ICM), Casablanca, Morocco, 2022, pp. 16-20.
• Frederic Rizk, Rodrigue Rizk, Dominick Rizk, and Henry Chu, “MAGAN: A Meta-Analysis for Generative Adversarial Networks’ Latent Space,” in Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods – ICPRAM, 2023, pp. 488-494.
• Rodrigue Rizk, Dominick Rizk, Frederic Rizk, and Sonya Hsu, “280 Characters to the White House: Predicting 2020 U.S. Presidential Elections from Twitter Data,” Computational and Mathematical Organization Theory (2023):1-28.