Radio-Based Localization Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۴۸۱-۴۹۵ از ۵۵۶ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Faraz Hasanمشاهده پروفایل

استاد پژوهشی

University of New England AustraliaAustralia

Dr. Faraz Hasan serves as the Director of Research Services at the University of New England (UNE), reporting to the Deputy Vice-Chancellor (Research). His role encompasses managing research grant administration, performance monitoring, and research ethics. With international experience in New Zealand, South Korea, and Oman, he brings expertise in wireless communication, intelligent transportation systems, and energy harvesting. He holds a PhD in Disruption Tolerant Networking from Ulster University (2008). His research has attracted media coverage in outlets like the Los Angeles Times and Euronews, and he advises governments on telecommunications, bioeconomy, and science policy. Dr. Hasan has secured over AU$1.7 million in research funding and is a Fellow of the Higher Education Academy (UK), a former Distinguished Speaker of ACM, and a Senior Member of IEEE. His work emphasizes ethical research practices and societal impacts of emerging technologies, particularly in disaster response, smart grids, and autonomous systems. Key contributions include advancing secure vehicular communication, optimizing energy efficiency in wireless networks, and exploring sociotechnical challenges of automated mobility. His research team collaborates across disciplines, addressing global challenges in connectivity and sustainability.

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Lian Zhaoمشاهده پروفایل

استاد

Toronto Metropolitan UniversityCanada

Lian Zhao is a Professor in the Department of Electrical, Computer and Biomedical Engineering at Toronto Metropolitan University. She holds a Ph.D. from the University of Waterloo and has been with the university since 2003. Her research focuses on wireless communications, edge computing, vehicular networks, and resource management. She is a Fellow of the IEEE and multiple professional organizations. Education: B.Sc. (Civil Aviation University of China, 1990), M.S. (Wuhan University, 1993), Ph.D. (University of Waterloo, 2002), all in electrical engineering. Research Interests include green communication, IoT, centralized/distributed resource management, and incentive mechanisms. She leads the Intelligent Communication and Computing Laboratory and teaches courses such as Digital Communications and Random Processes. Awards include the IEEE VTS Best Land Transportation Paper Award (2016 and 2024), Outstanding New Leader Award (2021), and CFI New Opportunity Award (2004). She serves as an editor for multiple journals, including IEEE Transactions on Wireless Communications and IEEE Internet of Things Journal. Advising: Supervised over 30 graduate students, including Ph.D. and Master’s candidates in areas like vehicular networks, edge computing, and resource allocation. Active in funded research projects on 6G networks, UAV communications, and smart grid systems. Labs/Teams: Leads the Intelligent Communication and Computing Lab, contributing to innovations in vehicular ad-hoc networks, IoT, and green communication technologies.

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Yan Huangمشاهده پروفایل

استاد

University of North TexasUnited States

Yan Huang is a Regents Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT). She holds ACM Distinguished Member and UNT Decker Scholar titles. Her roles include Associate Dean for Research and Graduate Studies (2016-2019), Interim Dean of the College of Engineering (2018), Senior Associate Dean (2019-2021), and Interim Chair of Computer Science and Engineering (2020-2021). She has served as a visiting scholar at Microsoft Research Asia and Fudan University. Education: B.S. in Computer Science from Peking University (1997) and Ph.D. in Computer Science from the University of Minnesota (2003). Research interests focus on spatio-temporal databases, geo-stream data processing, smart transportation, and location-based social networks. Her work is funded by NSF, DoD, Texas Department of Transportation, and Oak Ridge National Lab. Notable achievements include a $3.76M grant from the Army Research Lab (2023). Key awards include the Best Paper Award at IEEE IRI 2023 (student work) and recognition as a Regents Professor (2021). She advises multiple Ph.D. students and oversees a lab (DP F205).

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Xinrong Liمشاهده پروفایل

استاد

University of North TexasUnited States

Xinrong Li is a Professor in the Department of Electrical Engineering at the University of North Texas. He serves as the Associate Department Chair and holds an office in Discovery Park B231. His research focuses on wireless communications, sensor networks, signal processing, and IoT applications with emphasis on indoor geolocation, environmental monitoring, and smart systems development. He has contributed to advancements in Bluetooth mesh networking, thermal imaging-based occupancy detection, and additive manufacturing for aerospace components. His work integrates machine learning with sensor systems for real-time data analysis. Dr. Li has extensive experience in wireless sensor network design, including low-cost environmental monitoring systems and Raspberry Pi/Arduino-based implementations. He has explored energy-efficient protocols, time synchronization algorithms, and anti-collision RFID systems. His research also spans bioenergy systems, particularly gas production modeling during biomass pyrolysis using Gaussian functions. Key contributions include pioneering methods in indoor geolocation via UWB and RSS measurements, super-resolution TOA estimation, and cooperative localization algorithms. He has published over 60 articles since 2000, focusing on topics like MIMO systems, secrecy diversity in wireless channels, and compressive sampling for sensor networks. His work bridges theoretical foundations with practical applications in smart cities, agriculture automation, and environmental sustainability. Dr. Li has led projects in distributed energy management for microgrids and developed novel decoding methods for space-time coded MIMO systems. His educational contributions include curriculum design for project-oriented electrical engineering programs emphasizing lifelong learning. He maintains active collaborations in international research networks and serves on editorial boards for smart networking journals.

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Eden Tannerمشاهده پروفایل

استادیار

University of MississippiUnited States

Dr. Eden Tanner is an Assistant Professor of Chemistry and Biochemistry at the University of Mississippi, leading the Tanner Lab. She holds a B.Sc. in Advanced Science (Chemistry) from the University of New South Wales, a Ph.D. in Physical and Theoretical Chemistry from the University of Oxford, and completed postdoctoral research at Harvard University. Her work focuses on drug delivery systems using ionic liquids and nanomaterials, particularly for biomedical applications such as nanoparticle-based therapies and overcoming biological barriers like the blood-brain barrier. Her research interests include ionic liquids, drug delivery mechanisms, nanomaterial synthesis, and their applications in cancer therapy, neuroHIV treatment, and photothermal therapy. She teaches General Chemistry courses (CHEM 105/106) and emphasizes making chemistry accessible through innovative laboratory instruction. The Tanner Lab collaborates across disciplines, integrating physical chemistry with bioengineering to address unmet clinical needs. Dr. Tanner’s publications highlight advancements in nanoparticle design, surface functionalization strategies, and the development of responsive drug delivery systems. She has pioneered approaches like protein-avoidant ionic liquid (PAIL)-coated nanoparticles to enhance circulation time and target specificity. Her work also explores transdermal and topical delivery mechanisms using ionic liquids, alongside applications in antimicrobial therapies and diagnostic sensing technologies.

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Andrew Masonمشاهده پروفایل

مدرس

University of Southern QueenslandAustralia

Andrew Mason is a Lecturer in Communication and Media Studies at the University of Southern Queensland, affiliated with the School of Humanities and Communication. He holds a BA (1996) and BA(Hons) (2000) from USQ. His research focuses on media histories, regional communication networks, cultural studies, and sustainable tourism models. Mason actively contributes to interdisciplinary initiatives through affiliations with the Institute for Resilient Regions and the Centre for Heritage and Culture. His work bridges historical media practices (e.g., amateur radio clubs, early radio magazines) with contemporary issues like virtual tourism and environmental discourse. Recent projects include analyzing holographic wildlife encounters as sustainable tourism alternatives and examining drought-response community festivals. He frequently publishes in journals like Journal of Sustainable Tourism and Australasian Journal of Popular Culture , with conference presentations at the Australian Media Traditions Conference and Cultural Studies Association of Australasia events. Mason’s research trends emphasize technocultural continuity, regional resilience, and the intersection of media with environmental and social crises. His work highlights how past communication innovations inform modern challenges, blending historical analysis with applied contemporary issues.

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Michele Magnoمشاهده پروفایل

مدرس ارشد

ETH ZurichSwitzerland

Michele Magno is a Senior Lecturer and Privatdozent at ETH Zürich's Department of Information Technology and Electrical Engineering (D-ITET), leading the D-ITET Center for Project-based Learning (pbl.ee.ethz.ch). He holds a PhD in Electronic Engineering from the University of Bologna (2010) and has held visiting roles at institutions like the University of Nice and Mid Sweden University. His research focuses on low-power systems, wearable devices, energy harvesting, and IoT applications. Magno has authored over 350 peer-reviewed papers, with a Google H-index of 49. Notable awards include the 2024 Best Paper Award at ECCV and multiple best poster/demo recognitions at IEEE conferences. His industrial collaborations include projects with STMicroelectronics, Texas Instruments, and Logitech. Teaching contributions include courses on embedded systems, FPGA programming, and machine learning on microcontrollers. Magno's innovations span smart sensors for wind turbines, bio-medical monitoring, and autonomous racing systems, with patents in touch communication and energy-neutral devices. Recent work emphasizes ultra-low-power solutions for AI-integrated wearables, energy-efficient IoT nodes, and real-time embedded vision systems. His labs and teams pioneer technologies like TinyssimoRadar for in-ear gesture recognition and WakeMod for ultra-low-power IoT connectivity.

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Il-Min Kimمشاهده پروفایل

استاد

Queen's University at KingstonCanada

Professor Il-Min Kim is a Full Professor in the Department of Electrical and Computer Engineering at Queen's University (Smith Engineering). He leads the Wireless Artificial Intelligence Laboratory (WAI Lab), focusing on AI-driven wireless systems, IoT/IoE/IIoT, federated learning, edge computing, and 6G/V2X communications. His work integrates machine learning, signal processing, and cybersecurity with wireless infrastructure. Education: B.S. (Yonsei University, 1996), M.S./Ph.D. (KAIST, 2001). Postdoctoral research at MIT (2001-2002) and Harvard (2002-2003) preceded his faculty role at Queen's since 2003. Promoted to Associate Professor (2009) and Full Professor (2014). Research emphasizes Wireless AI , including on-device AI, federated learning, geoscience AI (Geo-AI), and secure communication protocols. Key areas: AI for 6G/V2X, energy-efficient edge computing, and robust spectrum sensing. His lab develops frameworks for distributed systems, compressive sensing, and nonlinear energy harvesting. Notable contributions include hybrid replay mechanisms for incremental learning, diffusion models for industrial IoT, and deep learning-based channel estimation. His work addresses challenges in data security, model robustness, and real-time inference under resource constraints.

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Eli De Poorterمشاهده پروفایل

استاد

Ghent UniversityBelgium

Eli De Poorter is a Professor at the Faculty of Engineering and Architecture , Ghent University , and affiliated with IMEC since 2017. His work bridges experimental wireless research with machine learning techniques, focusing on IoT , UWB localization , and self-learning networks . Received his PhD in 2011 from Ghent University’s Department of Information Technology FWO Postdoctoral Research Grant recipient Co-author of over 100 international publications Active in program committees of multiple conferences His research spans wireless protocol optimization , interference detection , and system configuration dependencies . Notable projects include UWB-based healthcare monitoring , industrial IoT networks , and animal wearables for agriculture . Develops energy-aware tinyML models for battery-less devices Explores Transformer networks and self-supervised learning for wireless systems Investigates multi-modal industrial IoT and Wi-Fi/UWB hybrid synchronization Scientific Awards FWO Postdoctoral Research Grant Labs & Teams Internet Technology and Data Science Lab (IDLab) IMEC research institute

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Pin-Han Hoمشاهده پروفایل

استاد

University of WaterlooCanada

Pin-Han Ho is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering (ECE), part of the Faculty of Engineering. His research focuses on advanced wireless communication systems, including Near-Field Communications (NFC), Reconfigurable Intelligent Surfaces (RIS), and Quantum Key Distribution (QKD). He explores applications in UAV-enabled networks, IoT security, and energy-efficient trajectory planning for autonomous systems. His work integrates machine learning techniques such as Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) to address challenges in signal processing, resource allocation, and network optimization. Key contributions include beamforming design for dynamic environments, secure resource management in optical networks, and hybrid communication systems combining near-field and far-field capabilities. Dr. Ho's publications span over 50 peer-reviewed articles, emphasizing interdisciplinary approaches to modern communication challenges. Notable areas include UAV trajectory optimization, quantum CNN-based detection systems, and connectivity-preserving routing algorithms. His research has been featured in special issues on NFCs, quantum networks, and IoT security. Despite extensive contributions, no academic awards or grants are explicitly listed in the provided information. His advising role and lab affiliations remain unspecified in the text.

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Tuna Tuğcuمشاهده پروفایل

استاد

Boğaziçi UniversityTurkey

Tuna Tuğcu is a Professor in the Department of Computer Engineering at Bogazici University, where he leads research in nanonetworking and wireless communications. He holds affiliations with the Computer Networks Research Lab (NetLab), Nanonetworking Research Group (NRG), and Telecommunications and Informatics Technologies Research Center (TETAM). He earned his PhD in Computer Engineering from Bogazici University in 2001 and completed postdoctoral research at Georgia Institute of Technology. His research focuses on NanoNetworking/Molecular Communications , 5G Networks , Cognitive Radio , and Wireless Systems . Key areas include diffusion-based signal propagation, modulation techniques for molecular channels, and optimization of nanoscale communication protocols. His recent publications emphasize practical applications in transmitter localization, error minimization, and throughput enhancement for emerging technologies. Awards include: Best Paper Award at ISCC'12 (2012) Best Paper Award at AICT (2010) National Utility Model for disaster coordination systems (TR 2013 11786 Y) He serves as Senior Projects Coordinator and chairs the Information Technologies Committee. He also contributes to ÖBİKAS and TETAM governance. No specific grants or student advisees are detailed in the source text.

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Wei Sunمشاهده پروفایل

استادیار

Wichita State UniversityUnited States

Dr. Wei Sun is an Assistant Professor at the School of Computing, Wichita State University, within the College of Engineering. His research focuses on wireless and mobile computing systems, particularly in designing secure and innovative wireless communication and sensing solutions. He leads the Wireless and Mobile System (WIMOS) Research Group and actively seeks PhD and Master's students for research roles. His work spans IoT security, vehicular networks, and human-centric sensing systems, with notable contributions to RFID-based sensing, adversarial detection in federated learning, and infrastructure-aware communication. Dr. Sun has received several accolades including the 2023 IEEE PerCom Best WiP Paper Award and the 2022 NSF Athena Postdoctoral Scholar recognition. His publications highlight advancements in secure human-centered wireless systems, vehicular security, and spectrum utilization. He contributes to academic service as a PC member for conferences like PETS, ACM CCS, and USENIX Security. The WIMOS lab explores real-world deployment of systems addressing both technical and societal challenges through integrated hardware-software solutions.

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Joseph Kaskoمشاهده پروفایل

دانشیار

Winthrop UniversityUnited States

Joseph Kasko is an Associate Professor in the Department of Mass Communication at Winthrop University's College of Arts and Sciences. His professional background includes over 15 years in broadcasting roles such as host, news anchor, and station manager at NPR affiliate stations and commercial networks. He holds a Ph.D. and M.M.C. from the University of South Carolina and a B.A. in Film, Television & Theatre from the University of Notre Dame. Education: Ph.D., Mass Communication, University of South Carolina M.M.C., Mass Communication, University of South Carolina B.A., Film, Television & Theatre, University of Notre Dame His research focuses on community-building through media dialogue, public broadcasting's role in civic engagement, and political communication dynamics. Notable work examines NPR member stations' audience support strategies and media portrayal of political figures. He has won the national Edward R. Murrow Award and multiple Best Metro-Radio Reporter accolades. Teaching spans courses in multimedia storytelling, convergent journalism, and digital culture. He advises Winthrop's student radio station Eagle Air and has held leadership roles at prominent college radio stations including WSND-FM (Notre Dame), WUSC-FM (South Carolina), and WBNY-FM (SUNY Buffalo State).

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Emanuel Radoiمشاهده پروفایل

استاد

University of Southern BrittanyFrance

Emanuel Radoi is a Professor in Signal Processing at the University of Brest , France, and a member of the "Information Security, Intelligence and Integrity" research team at Lab-STICC, CNRS UMR 6285. He has been an IEEE Senior Member since 2014 and served as Associate Editor for IEEE Communications Letters (2018-2021). M.Sc. (1997) and Ph.D. (1999) in Electronic Engineering and Signal Processing from University of Brest 20 book chapters and over 120 international conference/journal papers Specializes in UWB signal processing, full-duplex communications, spectrum sensing, time-frequency analysis, and sparse signal processing His recent research focuses on IR-UWB radar applications for indoor localization, people counting, and collision avoidance systems, as well as full-duplex communication architectures and compressed sensing techniques. He has developed experimental USRP-based implementations for real-time signal processing and contributed to advanced sea clutter models for radar target detection. Key publications address: Compressed sensing for UWB channel estimation (2016-2022) Self-interference cancellation in full-duplex transceivers (2020-2022) Machine learning integration with radar signal processing (2024) Cognitive radio architectures for high-speed railway applications (2014) Scientific Contributions: 2014 IEEE Senior Membership 2018-2021 IEEE Communications Letters Associate Editor Best Paper Award and Exemplary Reviewer recognition He actively participates in international conferences, chairs technical sessions, and contributes to journal special issues. His work bridges theoretical signal processing with practical implementations in wireless systems and radar technologies.

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Jan-jaap Auéمشاهده پروفایل

استاد

Hanze University of Applied SciencesNetherlands

Jan-jaap Aué is a Professor and Dean of the Centre of Expertise Energy (EnTranCe) at Hanze University of Applied Sciences. He holds a PhD in Mechanics of Materials from the University of Groningen (1997) and has extensive experience in applied research, particularly in innovation management and energy transition. His work focuses on the application of hydrogen in energy systems, sustainable fuels, and industrial transformation. He serves on the board of the Royal Dutch Institute of Engineers (KIVI) and RenQi, and has led numerous projects such as KETEN (2025–2029) and HyUSE (2024–2029). Education: PhD in Mechanics of Materials, University of Groningen (1997) MSc in Applied Physics, University of Groningen (1991) Research Interests: Jan-jaap’s work addresses the energy transition through hydrogen applications, renewable fuels, and sustainable industrial practices. He emphasizes innovation across the entire innovation chain, from idea conception to real-world implementation. His projects often involve collaboration with industry and government to solve practical energy challenges while training future professionals. Key Contributions: Over 35 projects and 12 publications since 2015, focusing on hydrogen storage systems, cost optimization, and public engagement. Media appearances include NPO Radio 1 and TV EenVandaag, highlighting his role in bridging academic research with societal needs. Labs/Teams: Leading EnTranCe as an open innovation hub, fostering partnerships between academia, industry, and local governments to accelerate the energy transition.

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