Elena-Simona Lohan is a Professor in the Department of Telecommunication Engineering at Tampere University . She holds a Doctor of Science (Technology) in Information Technology (2003) and a Master of Science (Technology) from the Politechnica University of Bucharest (1997). From 2012 to 2017, she served as a Visiting Fellow at the Universitat Autònoma de Barcelona, Spain. Her research focuses on wireless positioning systems , GNSS technologies , navigational security , and applications in healthcare and extended reality . Key areas include fingerprinting techniques, low-cost positioning solutions, and anti-spoofing algorithms. Recent work emphasizes integration of positioning, sensing, and communication systems, with contributions to secure navigation in interference-prone environments. She has published over 399 research outputs, including foundational studies on LEO satellite networks and medical AR applications. She was awarded the Exemplary Reviewer distinction in 2013 and actively contributes to academic leadership, such as the Convergence Doctoral Program at Tampere University (2023–2027).
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.
Adam Wolisz is a full Professor of Electrical Engineering and Computer Science at Technische Universität Berlin (TU Berlin), where he founded and led the Telecommunication Networks Group (TKN) from 1993 until 2018. He also served as Executive Director of the Institute for Telecommunication Systems (2001-2018), inaugural Dean of the Faculty of Electrical Engineering and Computer Science (2001-2003), and is currently an Einstein Center Digital Future (ECDF) Fellow. Since 2005 he has held an adjunct appointment at the University of California, Berkeley, and is presently a visiting researcher at the Berkeley Wireless Research Center. Education Dipl.-Ing. in Control Engineering, Silesian Technical University, Gliwice (1972) Dr.-Ing. in Computer Engineering, Silesian Technical University, Gliwice (1976) Habilitation in Computer Engineering, Silesian Technical University, Gliwice (1983) Research Interests Professor Wolisz has spent five decades advancing the architectures, protocols, and performance evaluation of communication networks. His current work centres on mobile multimedia communication , wireless sensor networks , and cognitive/cooperative wireless systems . Methodologically, he combines rigorous analytical modelling with large-scale simulation and real-world experimentation, frequently within the open testbeds run by TKN. A cross-cutting theme is Quality of Service (QoS) —from early work on real-time operating systems and industrial field-buses to recent studies on QoE-driven adaptive video streaming and ultra-reliable low-latency vehicular communications. His group is internationally recognised for contributions to reinforcement-learning-based MAC scheduling , spectrum sharing between LTE-U and WiFi , and energy-efficient protocol design . Publication Impact & Trends Across more than 200 refereed publications, two clear trajectories emerge: (1) a continuous evolution from wired network modelling (WDM optical networks, ATM, early Internet QoS) toward fully wireless and mobile settings, and (2) an increasing reliance on machine-learning techniques to tackle uncertainty and dynamics in dense, heterogeneous wireless environments. Recent papers exploit deep reinforcement learning for scheduling, federated learning for context-aware services, and transfer learning for realistic mobile-app testing. Scientific Awards & Recognition Best Paper Awards: IEEE WoWMoM 2020, IEEE INFOCOM CNERT 2019, ACM MSWiM 2017, IEEE EW 2017, IFIP WD 2017, IEEE EW 2009 Best Demo Award: ACM/IEEE IPSN 2014 (EVARILOS benchmarking platform) Senior Member, IEEE & IEEE ComSoc; Member, ITG (VDE); Steering Board, GI/ITG KuVS Doctoral Advising, Projects & Funding Since establishing TKN in 1993, Professor Wolisz has supervised over 60 completed PhD dissertations . Current and recent funding includes the DFG Collaborative Research Centre 1053 “MAKI”, DFG priority programme “SmartSynch”, EU projects (e.g., Fed4FIRE+, H2020 5G-Infrastructure), and industrial collaborations with Deutsche Telekom, Nokia, and Rohde & Schwarz. The group operates large-scale indoor and outdoor testbeds (FIT/IoT-LAB Berlin, TKN campus testbed, EVARILOS benchmarking framework) that are open to external researchers. Laboratories & Teams At TU Berlin, Professor Wolisz heads the Telecommunication Networks Group (TKN) , comprising more than 25 researchers (post-docs, PhD candidates, MSc students, technical staff). TKN maintains four major labs: the Wireless Communication Lab (software-defined radios, mmWave, IEEE 802.11ax/ay), the Sensor Networking Lab (IoT, 6TiSCH, energy harvesting), the Networking Testbed (optical backhaul, network softwarisation), and the QoE & Multimedia Lab (adaptive streaming, immersive media). Multiple spin-off companies have emerged from TKN research, most recently “Wolisz Technologies” (founded 2020) commercialising AI-driven Wi-Fi optimisation.
H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University , with a primary appointment in the Department of Electrical Engineering within the Princeton School of Engineering . His research spans wireless networks, energy systems, information theory, machine learning, and network science.
Dr. Linke Guo is an Associate Professor in the Holcombe Department of Electrical and Computer Engineering at Clemson University. He received his Ph.D. (2014), M.S. (2011), and B.Eng. (2008) in Electrical and Computer Engineering from the University of Florida and Beijing University of Posts and Telecommunications. Dr. Guo serves as Associate Editor for three prestigious IEEE journals and holds a 3-year sole PI grant from the Army Research Office. Education: Ph.D., Electrical and Computer Engineering, University of Florida (2014) M.S., Electrical and Computer Engineering, University of Florida (2011) B.Eng., Electronic Information Science and Technology, Beijing University of Posts and Telecommunications (2008) Dr. Guo's research focuses on security and privacy in wireless networks, mobile crowdsensing, IoT, eHealth systems, and machine learning algorithms. His work addresses challenges in federated learning, semantic communications, and robust resource orchestration across heterogeneous networks. His recent publications span top-tier venues like IEEE Symposium on Security and Privacy (Oakland), ACM CCS, ICML, NeurIPS, and INFOCOM. Funded by NSF and ARO grants, his research targets adversarial robustness in NextG wireless systems, spectrum efficiency, and sustainability in computing. Scientific Awards: Best Paper Award - Globecom 2015 Symposium on Communication and Information System Security Distinguished Best Paper Runner-up - MADWEB Workshop in NDSS 2024 Distinguished TPC Member - IEEE INFOCOM 2018 Dr. Guo advises Ph.D. students including Sihan Yu (now at Rowan University) and Xiaonan Zhang (now at Florida State University). His professional service includes editorial roles and program chair positions at major conferences.
Joseph Toscano is an Associate Professor in the Department of Psychological and Brain Sciences at Villanova University. He is currently on leave, serving as a Rotating Program Director at the National Science Foundation (NSF) since 2024. His research bridges speech perception, language processing, and cognitive neuroscience, integrating computational models, neuroimaging, and behavioral studies. Dr. Toscano teaches graduate and undergraduate courses in psychology, neuroscience, and cognitive science, including a lab course on speech perception for non-science majors. His lab, the Word Recognition & Auditory Perception (WRAP) Lab, focuses on topics like top-down effects on perception, hearing difficulty, computational models of speech development, and acoustic cue integration. The lab emphasizes inclusivity and student-driven research. His recent publications analyze gradient activation of referents in speech, neural decoding of speech sounds, and impacts of face masks on speech recognition. Key research themes include maintaining sub-phonemic uncertainty over time, cross-modal perception, and adaptive speech processing. Scientific awards include Best Student Paper in Speech Communication — First Prize (2006) Best Student Paper in Speech Communication — Second Prize (2008) Graduate Student Travel Award from the Psychonomic Society (2017) Graduate Student Travel Award from the Psychonomic Society (2015) Dr. Toscano has supervised numerous M.S. students, including Harini Sankar (2024), Reet Patel (2024), and Grace Gervino (2023), with projects spanning computational models of speech perception to effects of bilingualism on vowel categorization. The WRAP Lab welcomes researchers across disciplines to explore perception and cognition.
Davut KARAYEL is a Professor at Akdeniz University, Faculty of Agriculture, Department of Agricultural Machinery and Technologies Engineering. He also holds a remote Chief Researcher position at Vytautas Magnus University, Lithuania. Education: BSc in Agricultural Engineering (Cukurova University, 1995), MSc and PhD in Agricultural Engineering (Akdeniz University, 2005) Editorial Roles: Associate Editor of Journal of Computers and Electronics in Agriculture , Editorial Board Member of Turkish Journal of Agriculture and Forestry Metrics: 169 WoS publications, 408 h-index (WoS), 1012 h-index (Scopus), 1961 h-index (Scholar) His research focuses on Agricultural Engineering , particularly technological processes of sowing and crop care machines and environmental impact assessment of agricultural operations . Key areas include soil-machine interaction , precision seeding systems , biomass processing , and sustainable agricultural technologies . The 15 most recent articles highlight advancements in pelletization (bioenergy from crop residues), AI-optimized planting systems , soil crust mitigation , and sensor-based precision agriculture . These works bridge mechanical engineering and agroecology , addressing challenges in resource efficiency and environmental sustainability . He has supervised 3 theses and authored 2 international book chapters. With over 100 WoS-indexed publications and 27 Scopus publications, his work emphasizes machine design , combustion properties , and agricultural mechanization .
Shigeru Shimamoto is a Professor at Waseda University's School of Fundamental Science and Engineering, Faculty of Science and Engineering. His research spans wireless communication systems, biomedical sensing technologies, and intelligent transportation solutions. Since 2014, he has led the Communication and Computer Engineering department at Waseda University, previously serving as Director of the Global Information and Telecommunication Institute (2020-2024). 2008: Visiting Professor at Stanford University's Electrical Engineering 2000-2002: Research Assistant at University of Electro-Communications Key research areas include: Wireless Communication: OTFS modulation, NOMA, RIS-aided systems, and microwave-based vital sensing Smart Healthcare: Non-contact blood pressure monitoring, SpO2 estimation using microwave reflection Transportation Optimization: On-street parking analysis, traffic flow modeling, and energy-efficient vehicular networks Awarded the 2024 Commendation for Science and Technology from MEXT, his work demonstrates strong interdisciplinary impact combining communication engineering with medical applications. Recent publications focus on machine learning integration in gesture recognition, vehicular detection, and resource allocation for autonomous systems.
Stephen Hanly is a Professor in the School of Engineering at Macquarie University, specializing in Electrical and Electronics Engineering. He serves as Discipline Lead for the Electrical and Electronics Engineering teaching program and is part of the School's leadership team. His research is centered at the Future Communications Research Centre and Advanced Drone Systems Research Centre. His research focuses on next-generation wireless communications systems, with primary expertise in millimeter wave networks, UAV communications, satellite IoT systems, and beamforming technologies. Key investigation areas include distributed data collection using rechargeable UAVs, LEO satellite communications for IoT, millimeter wave beam alignment algorithms, and delay-Doppler domain waveforms for high-mobility scenarios. His work bridges theoretical communication theory with practical implementation challenges in dense wireless environments. His recent publication trends demonstrate strong emphasis on 6G-enabling technologies, particularly UAV trajectory optimization for IoT data harvesting, LEO satellite terminal protocols, and millimeter wave beam acquisition techniques. These works consistently address scalability challenges in ultra-dense networks while maintaining quality-of-service guarantees. IEEE Fellow INFOCOM Best Paper Award IEEE Information Theory Society and IEEE Communication Society Joint Paper Award IEEE Communications Society Tutorial Paper Award Professor Hanly actively supervises PhD students and postdoctoral researchers, with current projects including DP23: Enabling wide area mm-wave mobile broadband networks and LP20: Scaling Up Satellite Communications for the Internet of Things. His industry collaborations include the CSIRO Macquarie University Chair in Wireless Communications and the Macquarie University WiMed Research Centre. His research group develops novel algorithms for resource allocation, beam management, and network optimization in heterogeneous wireless environments. He leads the Future Communications Research Centre and Advanced Drone Systems Research Centre, focusing on practical implementations of theoretical communication models. Current research directions include UAV swarm coordination for wide-area coverage, LEO satellite IoT protocols, and millimeter wave beam alignment for mobile users in urban environments.
Leifur Leifsson is an Associate Professor at Purdue University's School of Aeronautics and Astronautics, specializing in computational design and optimization for aerospace systems. His research focuses on multidisciplinary design optimization, surrogate-based modeling, machine learning, and uncertainty quantification, with applications to aerodynamics, microwave devices, and environmental systems. He holds degrees from the University of Iceland (C.Sc. 1999, M.Sc. 2000) and a Ph.D. in Aerospace Engineering from Virginia Tech (2006). His work integrates advanced computational techniques to address complex engineering challenges, including aerodynamic shape optimization, nondestructive evaluation, and food-water-energy nexus analysis. Key research trends in his recent articles include multifidelity modeling for antenna design, machine learning-driven optimization algorithms, and global sensitivity analysis for nondestructive testing systems. He leads the Computational Design Lab, advancing tools for efficient simulation and design closure in aerospace and microwave engineering. Awards: NSF Early CAREER Award (2019) Best Paper Award, ASME Journal of Nondestructive Evaluation (2019) Research Award, Reykjavik University (2014) Leifsson has advised no listed students but has contributed to collaborative projects involving graduate researchers. His lab focuses on developing open-source frameworks (e.g., flutter prediction tools) and advancing simulation-based decision-making for large-scale systems.
Miguel Morales is a Professor of Astrophysics, Cosmology & Gravitation at the University of Washington. He is a leading observational cosmologist focused on the Epoch of Reionization (EoR), leveraging radio telescopes like the Murchison Widefield Array (MWA) and the Hydrogen Epoch of Reionization Array (HERA). His research emphasizes developing advanced instrumentation and data analysis techniques to detect the faint 21 cm radio signal from the early universe. Education: Doctorate in Physics (PhD details not explicitly stated, but implied through his professorship and research leadership). Research interests include cosmological radio observations, precision calibration methods, and foreground mitigation in large-scale data. He has pioneered techniques for handling petabyte-scale datasets and reducing systematic errors in EoR analyses. His group is internationally recognized for contributions to radio interferometry and software development. Key projects include leading the HERA imaging power spectrum team and contributing to the MWA's EoR analysis pipelines. Recent work focuses on mitigating radio frequency interference (RFI) and improving calibration for HERA Phase II. Morales also engages in public outreach through articles on quantum mechanics and advocates for diversity in physics. Labs/Teams: Radio Cosmology Group at UW, HERA Collaboration, MWA Collaboration. His work involves interdisciplinary efforts in detector engineering, cryogenics (e.g., RPWELL detectors), and multi-messenger astronomy (e.g., gravitational wave follow-ups).
Michael Honig is a Research Professor of Electrical and Computer Engineering at the McCormick School of Engineering, Northwestern University. He holds the AT&T Research Professor title and leads the Communications and Networking Laboratory. His research focuses on communications, signal processing, and networks, with recent emphasis on spectrum management, wireless resource allocation, and macroeconomic modeling of communication systems. Education: Ph.D., Electrical Engineering, University of California, Berkeley (1980s?) M.S., Electrical Engineering, University of California, Berkeley B.S. (with honors), Electrical Engineering, Stanford University Research Interests: Dr. Honig's work bridges theoretical and applied aspects of wireless systems, including spectrum policy, interference management for satellite constellations, radar-communication coexistence, and economic models for spectrum markets. His contributions address challenges in 5G/6G technologies, millimeter-wave networks, and distributed optimization algorithms. Publications: Recent work highlights include studies on LEO satellite interference mitigation, spectrum rights in outer space, and adaptive beamforming for radar-communication systems. His articles often explore interdisciplinary solutions at the intersection of engineering and economics. Labs/Teams: Directs the Communications and Networking Laboratory, advancing innovations in wireless systems and network economics. Collaborates with industry partners like AT&T on applied research. Grants/Advising: While specific grants are not listed here, his research reflects sustained funding from industry and government sources. Advises graduate students focusing on wireless technologies and network optimization.
Dave Eckhardt is a Teaching Professor at the Computer Science Department within the School of Computer Science at Carnegie Mellon University. He holds a Ph.D. in Computer Science from the same institution, focusing on wireless network error management and distributed systems. His research interests span Operating Systems Computer Networks Wireless Communication Distributed Systems File Systems Network Protocols Adaptive Error Control Election Security His work often intersects protocol design, network reliability, and security in error-prone environments. His publications, dating from 1996 to 2002, center on wireless link error analysis, adaptive scheduling, and protocol optimization. These studies frequently explore wireless LANs, bursty packet errors, and fairness mechanisms in network resource allocation. Notably, he has advised students on projects like Ben Blum : Concurrency Testing in Kernel Space Greg Hartman : Scalable Reactivity in Systems Qingyang Li : User-Level Page Faults Sanjay Chandrasekaran : IoT Security Gateways Da-Yoon Chung : OpenISR 2.0 Adam Wolbach : Deployability of Distributed Systems Ajay Surie : Mobile Infrastructure David J. Matsumoto : Scheduling in 802.11 As a voting machine security advocate, he has contributed to public discourse on electronic voting integrity and firmware verification. His Erdős number is 5.
Marc Lichtman is an Adjunct Assistant Professor at the University of Maryland's Department of Computer Science. He concurrently serves as a Principal Software Engineer at Microsoft and contributes to the GNU Radio open-source project. His work bridges academia and industry through research in software-defined radio (SDR), machine learning for wireless communications, and resilient communication systems. Education: Ph.D. in Computer Science, Virginia Tech, 2016 M.S. in Computer Science, Virginia Tech, 2012 B.S. in Computer Science, Virginia Tech, 2011 Research focuses on machine learning integration with SDR frameworks, cybersecurity for wireless systems, and distributed signal processing. Notable contributions include the PySDR textbook and advancements in GNU Radio's architecture. He has taught courses such as Machine Learning for Wireless Communications and Intro to Wireless Communications and SDR . His publications highlight trends in securing 5G/LTE systems against jamming, spoofing, and interference. Work emphasizes antifragile communication protocols and heterogeneous computing frameworks for SDR applications. Contributions span academic journals and industry collaborations. Advising and grants: While no formal student advisees are listed, his educational efforts foster SDR expertise. Current projects involve cloud computing integration with SDR platforms. Labs/Teams: Co-leads the GNU Radio project, advancing open-source SDR tools and frameworks.
Dr. Marcin Sokolowski is a Research Fellow at Curtin University, associated with the Curtin Research Institute and Curtin Institute of Radio Astronomy (CIRA), within the School of Electrical Engineering, Computer, and Mathematical Sciences (EECMS). His primary affiliation is with the Faculty of Science and Engineering. His research focuses on radio astronomy, astrophysical observations, and instrumentation development, particularly involving the Murchison Widefield Array (MWA) and SKA precursor projects. Key research areas include Fast Radio Burst (FRB) detection, pulsar surveys, gamma-ray burst (GRB) follow-up, telescope calibration, and low-frequency radio interferometry. He has contributed to the design and testing of SKA-Low prototype systems, holographic calibration techniques, and real-time data processing pipelines for transient detection. His work also addresses radio frequency interference mitigation and satellite emissions analysis in radio-quiet zones. Publications span over 15 years, emphasizing instrumental advancements, transient phenomena studies, and collaborative projects like the SMART pulsar survey. His work intersects computational methods, such as GPU-accelerated imaging, and interdisciplinary applications like space situational awareness using radio telescopes. Awards: No specific prizes or fellowships are explicitly listed in the provided texts. His contributions are primarily recognized through extensive peer-reviewed publications in journals like the Astrophysical Journal, Monthly Notices of the Royal Astronomical Society, and the Publications of the Astronomical Society of Australia. Advising/Grants: While no explicit grant details are provided, his involvement in major facilities like MWA and SKA prototypes suggests funding from astronomical collaborations and institutions. His research team includes international collaborators, reflecting large-scale project coordination. Labs/Teams: Core affiliations include CIRA, the School of EECMS, and collaborations with institutions like the International Center for Radio Astronomy Research (ICRAR). He contributes to initiatives like the Southern-sky MWA Rapid Two-metre (SMART) pulsar survey and the Engineering Development Array (EDA) projects.
