Paolo Testolina

Paolo Testolina
Research Scientist

Department of Electrical and Computer Engineering
Northeastern University
Boston, MA 02115

Office: EXP 650

Phone:

Fax:

Email: [email protected]

Biography

Paolo Testolina is a Research Scientist at WINES and UN laboratories at Northeastern University, Boston, MA. He got his B.S. degree in Information Engineering in 2013 and M.S. Degree in Telecommunication Engineering in 2016 from the University of Padova, Italy. During his Master’s, he visited the Barcelona School of Telecommunications Engineering (ETSETB), Universitat Politècnica de Catalunya, Spain, for one year under the Erasmus+ Exchange Program. There, he developed his Master’s thesis on Error Estimation in Synthetic Aperture Radars under the supervision of Prof. Jordi Mallorqui. The thesis focused on his hometown, Venice, and was rewarded by the Engineers Association of Venice as the best master’s Thesis on the City of Venice. After one year as a Research Assistant at the SIGNET Lab at the University of Padova, he started his Ph.D. under the supervision of Prof. Michele Zorzi. During his Ph.D., his research spanned all the layers of the communications stack, from channel modeling at mmWave to traffic modeling for eXtended Reality and vehicular communications. He was a visiting student at the WINES laboratory at Northeastern University, Boston, MA, under the supervision of Prof. Tommaso Melodia, Prof. Josep Jornet, and Prof. Michele Polese. There, he started working on spectrum sharing and coexistence, a topic that brought him back after the Ph.D., when, after one year as a Postdoc Researcher at the SIGNET lab, he joined the WINES and UN laboratories as a Postdoc Researcher, before being promoted to Research Scientist.
His current research focuses on the study and design of wireless communications systems, with a keen interest in channel modeling, spectrum science, and everything space-related.

Selected Honors and Awards

  • First Place Winner of the IEEE R8- GITEX AI Doctorate Symposium 2023
  • Winner of “Premio di Laurea 2019” (Prize for excellent new graduates in engineers), promoted by the Collegio degli Ingegneri della Provincia di Venezia (Venice College of Engineers) for the best master thesis on the city of Venice

Other Publications

Spectrum Sharing
  1. P. Testolina, M. Polese, and T. Melodia, “Sharing Spectrum and Services in the 7-24 GHz Upper Midband,” IEEE Communications Magazine, vol. 62, no. 8, pp. 170–177, 2024
  2. P. Testolina, M. Polese, J. M. Jornet, T. Melodia, and M. Zorzi, “Modeling Interference for the Coexistence of 6G Networks and Passive Sensing Systems,” IEEE Transactions on Wireless Communications, 2024
  3. P. Testolina, M. Polese, P. Johari, and T. Melodia, “Boston Twin: the Boston Digital Twin for Ray-Tracing in 6G Networks,” in Proceedings of the 15th ACM Multimedia Systems Conference, pp. 441–447, 2024
 
Channel Modeling
  1. P. Testolina, M. Lecci, M. Rebato, A. Testolin, J. Gambini, R. Flamini, C. Mazzucco, and M. Zorzi, “Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design,” in 2019 IEEE Global Communications Conference (GLOBECOM), pp. 1–6, IEEE, 2019
  2. M. Lecci, P. Testolina, M. Rebato, A. Testolin, and M. Zorzi, “Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance,” in 2020 14th European Conference on Antennas and Propagation (Eu-CAP), pp. 1–5, IEEE, 2020
  3. M. Lecci, P. Testolina, M.Giordani, M. Polese, T. Ropitault, C.Gentile, N. Varshney, A. Bodi, and M. Zorzi, “Simplified Ray Tracing for the Millimeter Wave Channel: a Performance Evaluation,” in 2020 Information Theory and Applications Workshop (ITA), pp. 1–6, IEEE, 2020
  4. P. Testolina, M. Lecci, M. Polese, M. Giordani, and M. Zorzi, “Scalable and Accurate Modeling of the Millimeter Wave Channel,” in 2020 International Conference on Computing, Networking and Communications (ICNC), pp. 969–974, IEEE, 2020
  5. M. Lecci, P. Testolina, M. Polese, M. Giordani, and M. Zorzi, “Accuracy Versus Complexity for mmWave Ray-Tracing: A Full Stack Perspective,” IEEE Transactions on Wireless Communications, vol. 20, no. 12, pp. 7826–7841, 2021
  6. P. Testolina, M. Lecci, A. Traspadini, and M. Zorzi, “An Open Framework to Model Diffraction by Dynamic Blockers in Millimeter Wave Simulations,” in 2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet), pp. 9–17, IEEE, 2022
 
Traffic Modeling & XR
  1. F. Chiariotti, M. Drago, P. Testolina, M. Lecci, A. Zanella, and M. Zorzi, “Temporal characterization and prediction of VR traffic: A network slicing use case,” IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 3890–3908, 2023
  2. S. Baldoni, F. Battisti, F. Chiariotti, F. Mistrorigo, A. B. Shofi, P. Testolina, A. Traspadini, A. Zanella, and M. Zorzi, “Questset: A VR Dataset for Network and Quality of Experience Studies,” in Proceedings of the 15th ACM Multimedia Systems Conference, pp. 408–414, 2024
 
Vehicular Networks
  1. A. Varischio, F. Mandruzzato, M. Bullo, M. Giordani, P. Testolina, and M. Zorzi, “Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation,” in ICC 2021-IEEE International Conference on Communications, pp. 1–6, IEEE, 2021
  2. V. Rossi, P. Testolina, M. Giordani, and M. Zorzi, “On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks,” in 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), pp. 247–252, IEEE, 2021
  3. F. Nardo, D. Peressoni, P. Testolina, M. Giordani, and A. Zanella, “Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison,” in 2022 IEEE Wireless Communications and Networking Conference (WCNC), pp.2732–2737, IEEE, 2022
  4. P. Testolina, F. Barbato, U. Michieli, M. Giordani, P. Zanuttigh, and M. Zorzi, “SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 7, pp. 7012–7024, 2023