جست‌وجوی استاد و پژوهشگر

Zhangyu Guanمشاهده پروفایل

دانشیار

• Wireless Networking
• Network Security
• Communication Systems
• +۴ مورد دیگر

Zhangyu Guan is an Associate Professor in the Department of Computer Science & Engineering at the University of Minnesota - Twin Cities, with a courtesy appointment at the Department of Electrical Engineering, University at Buffalo - SUNY. Previously, he served as an Associate Professor at SUNY Buffalo (2015-2025) and an Associate Research Scientist at Northeastern University (2015-2018). His research focuses on next-generation wireless networking , including zero-touch computing , space-air-ground integrated networking , and AI-enabled ultra-broadband networks . He leads the Wireless Intelligent Networking and Security (WINGS) Lab , which develops UAV platforms, digital twin technologies, and shared wireless testbeds. Ph.D., Communication and Information Systems, Shandong University, China (2010) His research explores Wireless Sensing, Communications and Networking for Advanced Air Mobility , Experimentation and Softwarization for Future Wireless Networks , and Printable Circuits for RFID . Recent work emphasizes digital twin frameworks to bridge simulation-to-real gaps and democratizing access to heterogeneous wireless testbeds through grassroots initiatives like UnionLabs (NSF CIRC grant, 2025). Key scientific contributions include domain adaptation for UAV networks, resilient communication protocols , and spectrum sharing frameworks for UAV swarms. He has received the Senior Teacher of the Year Award (2025) and led numerous NSF-funded projects. His lab has produced graduates now at institutions like Google, AMD, Synopsys, and academic positions including Eastern New Mexico University. He serves on organizing committees for IEEE INFOCOM and editorial boards for IEEE Transactions on Wireless Communications and Computer Networks (Elsevier).

Nicholas Mastronardeمشاهده پروفایل

دانشیار

• Wireless Networking
• Reinforcement Learning
• Drones
• +۱۰ مورد دیگر

Nicholas Mastronarde is an Associate Professor and Associate Chair in the Department of Electrical Engineering at the University at Buffalo, State University of New York, within the School of Engineering and Applied Sciences. He leads the WIRED Lab (Wireless Networking, Reinforcement Learning, and Drones Lab), which conducts cutting-edge research in wireless communications, AI/ML for networks, and UAV systems. Ph.D. in Electrical Engineering from UCLA (2011) M.S. in Electrical Engineering from UC Davis (2006) B.S. in Electrical Engineering from UC Davis (2005, Highest Honors) Dr. Mastronarde's research focuses on wireless networking, reinforcement learning, and drone systems. His work spans AI/ML for wireless networks (reinforcement learning for energy harvesting wireless sensors, IoT, 5G scheduling), NextG wireless networks (active-passive coexistence, software-defined networking, mmWave networks), and modeling, simulation, and field experimentation for future networks. His research has significant applications in spectrum coexistence, digital twin technology, and UAV networking, with emphasis on practical implementation through platforms like UB-ANC and NeXT. His recent publications demonstrate a strong trend toward integrating AI/ML techniques with wireless communications to develop more efficient, adaptive, and intelligent network systems, particularly focusing on spectrum coexistence between satellite and terrestrial networks, digital twin-enabled network simulation, and reinforcement learning applications for next-generation wireless systems. Dimitris N. Chorafas Foundation Award (2011) UCLA Graduate Division Dissertation Year Fellowship (2010-2011) IBM Research Watson Lab Graduate Intern Fellowship (2010) 2020 SEAS Senior Teacher of the Year Award UB's Teaching Innovation Award 2022 Dr. Mastronarde has successfully advised numerous graduate students, including current PhD candidates and multiple alumni who have gone on to work at companies like Qualcomm. His research is supported by prestigious organizations including the US Air Force Research Laboratory, US SOCOM, the National Science Foundation (including the NSF SWIFT award), GE Aviation, US Ignite, ARMOR-IIMAK, and SUNY. His extensive publication record includes over 100 peer-reviewed articles in top-tier journals and conferences. As the leader of the WIRED Lab, Dr. Mastronarde oversees several key research initiatives including UB-ANC (unmanned aerial vehicle networking simulation/emulation), RF-SITL (software-defined transceiver and channel emulation), NeXT (digital twin-enabled multi-fidelity network simulator), and UnionLabs (cloud-based platform for testbed sharing). His team consists of current PhD students, research scientists, and undergraduate researchers working collaboratively on cutting-edge wireless communication projects.

• Network-on-Chip (NoC)
• Embedded Systems
• Fault Tolerant Design
• +۴ مورد دیگر

Martin Radetzki is a full Professor at the Institute for Computer Architecture and Parallel Systems (University of Stuttgart) , specializing in Embedded Systems . His work focuses on network-on-chip (NoC) design, fault tolerance, memory optimization, and simulation frameworks. Key research areas: NoC synthesis, deadlock-free routing, performability analysis, and power-efficient memory subsystems Recent publications emphasize integer linear programming frameworks for co-designing floorplanning and routing, chiplet-based systems , and machine learning-enabled performance evaluation His methodologies address cross-layer challenges in NoC design, combining formal optimization with practical implementation for heterogeneous processing elements. Collaborative projects include fault resilience analysis, parallel simulation techniques, and memory allocation strategies for SoCs. Dr. Radetzki supervises research with students like Shuang Liu and Manuel Strobel , contributing to IEEE Transactions on Computers , ACM TECS , and conferences such as DATE and MCSoC . Current work explores optimal routing topologies for emerging chip architectures.

Emad Samuel Malki Ebeidمشاهده پروفایل

استاد

• Robotics
• Embedded Systems
• Smart Grids
• +۳ مورد دیگر

Emad Samuel Malki Ebeid is a Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, specializing in robotics, drone technology, and power line inspection systems. His work bridges embedded systems, FPGA acceleration, and smart grid applications. PhD in Computer Science, University of Verona (2014) Postdoc in Electrical and Computer Engineering, Aarhus University (2016) Research interests focus on robotics , UAV autonomy , and power line inspection , with a strong emphasis on embedded systems and magnetic gripper design . Articles highlight trends in mmWave radar , GPU/FPGA acceleration , and drone swarm coordination for infrastructure maintenance. Scientific contributions include: IEEE Senior Member PI and Coordinator roles in EU Horizon Europe projects (Robots4Green, SPADE) Development of AERIAL-CORE and Drones4Safety frameworks Supervision of PhD students V. D. Hoang , N. H. Malle , and F. F. Nyboe Lab and team involvement spans the Aalborg Robotics 10-year seminar and special sessions at the Euromicro DSD conference. Media features include TV 2 News and 2200 News (2025) on drone-based power line maintenance.

Andrew Nelsonمشاهده پروفایل

استادیار

• Embedded Systems
• Real-Time Control
• Multi-Sensor Fusion
• +۴ مورد دیگر

Andrew Nelson is a part-time Assistant Professor at the Electronic Systems department, College of Engineering , Eindhoven University of Technology . He also serves as a founder and R&D lead at Verintec Solutions B.V. . Research Focus : Predictable and composable embedded systems, real-time robotics, multi-sensor fusion for industrial positioning, multi-core processor optimization. Key Contributions : Development of the CompSOC platform, CompROS architecture for ROS2, and novel multi-rate control strategies. Recent Article Trends : His work emphasizes predictable execution on multi-core platforms, sensor fusion techniques (linear encoders + vision systems), and real-time robotics. Articles span 2015–2025, highlighting collaborations with institutions like TU/e and ECSEL JU grant projects IMOCO4.E (2021–2023) and COMP4DRONES (2021).