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Marco Levorato

Marco Levorato

•Professor, Computer Science Dept., Donald Bren School of Information and Computer Sciences
•Courtesy Appt. in Electrical Engineering and Computer Science

Biography

Marco Levorato, Ph.D., is Professor in the Computer Science Department at the Donald Bren School of Information and Computer Sciences at the University of California, Irvine, with courtesy appointments in Electrical Engineering and Computer Science and the California Institute for Information Technologies. He received his Ph.D. in Telecommunications Engineering from the University of Padova in 2009 and completed postdoctoral research at Stanford University and the University of Southern California under the supervision of Andrea Goldsmith and Urbashi Mitra.

Levorato's research focuses on edge computing and distributed machine learning for autonomous systems, including unmanned aerial vehicles and connected vehicles. His work addresses the design of split deep neural networks, dynamic resource allocation, and cognitive interference management in wireless networks. He has secured research funding from NSF, DARPA, Cisco, and the University of California Office of the President, with total funding exceeding $5 million as principal investigator. His research has been recognized with the Best Paper Award at IEEE Globecom 2012 and has been featured in PC Magazine.

Levorato serves as Associate Editor for IEEE/ACM Transactions on Networking and has held editorial positions with IEEE Transactions on Communications and Computer Networks. He has chaired multiple workshops and symposia at conferences including IEEE INFOCOM, IEEE Secon, and IEEE SmartGridComm. At UC Irvine, he serves as Director of the Networked Systems Program and has been a member of the Council on Planning & Budget. He received the UCI Early Career/Emerging Innovator of Year Award in 2023-2024, the Dean's Mid Career Research Award in 2019, and the University of California Hellman Award in 2016.

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Education

  • B.E. in Electronics and Telecommunications Engineering, University of Ferrara, 2002
  • M.E. in Telecommunications Engineering, University of Ferrara, 2005
  • Ph.D. in Telecommunications Engineering, University of Padova, 2009
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Distinctions

  • UCI Early Career/Emerging Innovator of Year Award, 2024
  • IEEE Senior Member, 2022
  • Distinguished Member of the 2022 IEEE INFOCOM Technical Program Committee, 2022
  • Dean's Mid Career Research Award, 2019
  • University of California Hellman Award, 2016
  • ACCESS Post Doctoral research fellowship at the ACCESS Linnaeus Center, Royal Institute of Technology (KTH), Sweden, 2012
  • Best paper award - IEEE Global Communications Conference (Globecom) 2012, Signal processing symposium, 2012
  • Nominated for the Best Young Researcher Award, Dept. of Information Engineering, University of Padova, Italy, 2009-2010
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Areas of Expertise

  • Edge Computing and Wireless Networks
  • Cognitive Radio Access Control
  • Cooperative Communication Protocols
  • Energy Harvesting Systems
  • Split Deep Neural Networks
  • Autonomous Vehicle Infrastructure
  • Internet of Things Healthcare

Recent Publications

  • C. Singhal, Y. Wu, F. Malandrino, M. Levorato, C. Chiasserini, “Resource-Efficient Sensor Fusion at the Edge via System-wide Dynamic Gated Neural Networks”, IEEE Trans. on Mobile Computing, 2025.
  • C. Singhal, Y. Wu, F. Malandrino, M. Levorato, C. Chiasserini, “Distributing Inference Tasks over Interconnected Systems through Dynamic DNNs”, IEEE Trans. on Networking, 2025.
  • M. Mendula, S. L.G. Contreras, M. Levorato, P. Bellavista, “A Novel Middleware for Adaptive and Efficient Split Computing for Real-time Object Detection”, Pervasive and Mobile Computing, 2025.
  • S. LG Contreras, M. Levorato, H. Choi, F. Racape, S. Mohanti, “CAMTEC: Context-Aware Adaptive Inference for Machine Task Execution in Complex Environments”, 2025. Presented at IEEE Milcom.
  • L. Nasraoui, I. Harshbarger, M. Levorato, “SHARQ: Semantic HARQ for Reliable Distributed DNN Execution”, 2025. Presented at IEEE Milcom.
  • Y. Wu, C. Chiasserini, M. Levorato, “Distributed Context-Aware Resource Allocation for Dynamic Sensor Fusion in Edge Inference”, 2025. Presented at IEEE MASS.
  • R. Rauch, M. Levorato, J. Gazda, “Distributed Processing of Deep Learning Models for Multi-Sensor Fusion”, 2025. Presented at IEEE SMT.
  • M. Yang, T. Johnsen, I. Harshbarger, M. Mendula, M. Levorato, “SmartDepth: Motion-Aware Depth Prediction with Intelligent Computing for Navigation”, 2025. Presented at IEEE DCOSS-IoT.
  • S. LG Contreras, F. Khandaker, F. Restuccia, M. Levorato, “SOAR: Semantic Multi-User MIMO Communications for Reliable Wireless Edge Computing”, 2025. Presented at IEEE DCOSS-IoT.
  • L. Qin, Y. Wu, S. Najeh, M. Levorato, C. Chiasserini, “HERACLES: Hierarchical Semantic Communications for Distributed Dynamic Sensor Fusion”, 2025. Presented at 45th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS).
  • R. Rauch, J. Gazda, M. Levorato, “Leveraging LSTM Networks for Adaptive Deep Learning in Connected Autonomous Vehicles”, 2025. Presented at IEEE WCNC.
  • Y. Matsubara, M. Mendula, Marco Levorato, “A Multi-task Supervised Compression Model for Split Computing”, 2025. Presented at IEEE/CVF WACV.
  • I. Harshbarger, C. Zejda, M. Levorato, “Condar: Context-Aware Distributed Dynamic Object Detection on Radar Data”, 2024. Presented at IEEE MilCom.
  • Y. Wu, M. Levorato, C. F. Chiasserini, “Tensor Compression and Reconstruction in Split DNN for Real-time Object Detection at the Edge”, 2024. Presented at 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom).
  • G. Esposito, J. Guerrero, J R. Condia, M. Levorato, M. Sonza Reorda, “Enhancing the reliability of Split Computing Deep Neural Networks”, 2024. Presented at 30th IEEE International Symposium on On-Line Testing and Robust System Design (ioltspc).
  • E. Slapak, M. Dopiriak, M. Al Faruque, J. Gazda, M. Levorato, “Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving”, 2024. Presented at 10th IEEE International Conference on Smart Computing (SMARTCOMP 2024).
  • I. Alla, H. Olou, V. Loscri, M. Levorato, “From Sound to Sight: Audio-Visual Fusion and Deep Learning for Drone Detection”, 2024. Presented at 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec24).
  • T. Johnsen, Z. Xia, I. Harshbarger, M. Levorato, “NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation”, 2024. Presented at IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Perth.
  • F. Malandrino, G. di Giacomo, M. Levorato, C. Chiasserini, “Dependable Distributed Training of Compressed Machine Learning Models”, 2024. Presented at IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Perth.
  • A. Buratto, M. Levorato, L. Badia, “DCP: a TCP-Inspired Method for Online Domain Adaptation under Dynamic Data Drift”, 2024. Presented at IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Perth.
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Contact Information

Email: levorato@uci.edu

Phone: +1 949 824 2175

Address: 3212 Bren Hall, Irvine, CA 92697-3435

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This profile was created with the help of AI.

Last updated on 3/12/2026.