Eugenio Grippo research interest is in the area of modeling and control of the electric power grid using mathematical curvature theory. He also expanded his research area interest to ML (Machine Learning), DeFi (Decentralized Finance) and IoT (Internet of Things) while pursuing his postdoc at USC.
Eugenio Grippo received his MS and PhD in EE (Electrical Engineering) from University of Southern California (USC), where he also conducted Postdoctoral studies in Electrical and Computer Engineering (ECE); he received his 鈥淎utomation and Industrial Control Engineer鈥 degree from Universidad Nacional de Quilmes (UNQUI, Buenos Aires, Argentina).
He worked in the ANRG (Autonomous Network Research Group) center at USC where he conducted research in machine learning, distributed computing, IoT and cybersecurity. After that, he worked in the ICAROS LAB (Interactive and Collaborative Autonomous Robotics Lab) at USC where he conducted research in robotics. He is currently an Adjunct Professor in Data Science at Pacific States University, Los Angeles, USA; and a Visiting Assistant Professor at 海角社区, Los Angeles, USA.
Publications
- Hekmati Arvin, Eugenio Grippo, Bhaskar Krishnamachari and Nishant Jethwa. "Correlation-Aware Neural Networks for DDoS Attack Detection in IoT Systems". Submitted to IEEE/ACM Transactions on Networking, on January 16, 2023.
- Hekmati Arvin, Eugenio Grippo, and Bhaskar Krishnamachari. 鈥淣eural Networks for DDoS Attack Detection using an Enhanced Urban IoT Dataset鈥. International Conference on Computer Communications and Networks (ICCCN), July 25 鈥 28, 2022.
- Tzanis Anevlavis, Jonathan Bunton, Jared Coleman, Mine Dogan, Eugenio Grippo, Abel Souza, Christina Fragouli, Bhaskar Krishnamachari, Matthew Maness, Karl Olson, Prashant Shenoy, Paulo Tabuada, Gunjan Verma. 鈥淣etwork Synthesis for Tactical Environments: Scenario, Challenges, and Opportunities鈥. SPIE Defense + Commercial Sensing. Orlando, Florida, USA, April 3- 7, 2022.
- Jared Coleman, Eugenio Grippo, Bhaskar Krishnamachari, Gunjan Verma. 鈥淢ulti-Objective Network Synthesis for Dispersed Computing in Tactical Environments鈥. SPIE Defense + Commercial Sensing. Orlando, Florida, USA, April 3- 7, 2022.
- Jonckheere, Edmond, and Eugenio Grippo. 鈥淎nticipation of Line Tripping Cascade by Grid Curvature and Entropy鈥. International Conference on Electrical, Computer and Energy Technologies. Cape Town, South Africa, on Dec 9 鈥 10, 2021. (Presenter).
- Hekmati Arvin, Eugenio Grippo, and Bhaskar Krishnamachari. 鈥淟arge-scale Urban IoTActivity Data for DDoS Attack Emulation鈥. Proceedings of the 19th ACM Conference onEmbedded Networked Sensor Systems, pages 560-564, November 15-18, 2021.
- Krishnamachari, Bhaskar, Qi Feng, and Eugenio Grippo. 鈥淒ynamic Automated Market Makers for Decentralized Cryptocurrency Exchange鈥. 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), on May 3-6, 2021.
- E. Jonckheere, E. Grippo and R. Banirazi. 鈥淐urvature, Entropy, Congestion Management and the Power Grid鈥. 3rd IEEE Conference on Control Technology and Applications (2019 CCTA), Hong Kong, China, on August 19-21, 2019. (Presenter /Chair of the Section).
- E. Jonckheere and E. Grippo. 鈥淥llivier-Ricci Curvature approach to Cost-Effective Power Grid Congestion Management鈥. 31st Chinese Control and Decision Conference (2019 CCDC), Nanchang, China, on June 3-5, 2019. (Presenter).
- E. Jonckheere, E. Grippo and Reza Banirazi, 鈥淐ongestion Management for Cost-
effective Power Grid Load Balancing using FACTS and Energy Storage Devices allocated via Grid Curvature Means鈥, 2019 American Control Conference, Philadelphia, PA, USA on July 10-12, 2019. (Presenter / Chair of the Section).
- E. Jonckheere and E. Grippo. 鈥淓ffective resistance criterion for negative curvature: application to congestion control.鈥 In 2016 IEEE Conference on Control Applications (CCA), Part of 2016 IEEE Multi-Conference on Systems and Control, pages 129鈥136,Buenos Aires, Argentina, Sept. 19-22, 2016. (Presenter).