جست‌وجوی استاد و پژوهشگر

Alagan Anpalaganمشاهده پروفایل

استاد

• Wireless Communication
• Radio Resource Management
• Green Communication
• +۷ مورد دیگر

Alagan Anpalagan is a Full Professor in the ELCE Department at Toronto Metropolitan University, previously Ryerson University. He holds a PhD in Electrical Engineering from the University of Toronto. His research focuses on radio resource management (RRM), green communication, IoT networks, and wireless communication systems. He directs the WINCORE Lab, specializing in radio access & networking (RAN) and cross-layer design. Dr. Anpalagan has authored/co-edited multiple books and holds IEEE Fellow status (2024). He has received awards including the Ryerson Sarwan Sahota Distinguished Scholar Award (2022) and the IEEE Canada Outstanding Engineering Educator Medal (2018). He has served in editorial roles for IEEE Communications Surveys & Tutorials and led industry collaborations with companies like Bell Mobility and IBM. Education: B.A.Sc. in Electrical Engineering, University of Toronto M.A.Sc. in Electrical Engineering, University of Toronto Ph.D. in Electrical Engineering, University of Toronto Research Interests: His work spans RRM, energy-efficient networks, cognitive communication, and smart grid technologies. Recent projects include digital twin applications in IoT and 6G-based user localization for emergencies. Publications: His 15 most recent articles include studies on network routing protocols, IoT scheduling with digital twins, and AI-driven disaster response systems. These reflect his focus on integrating AI and edge computing into next-gen communication systems. Awards: Recognized for both research and teaching excellence, including IEEE Fellowships and institutional awards for graduate education and service. Labs/Teams: Lead researcher at the WINCORE Lab, collaborating with academia and industry on wireless resource management and heterogeneous networks. The lab’s alumni network includes over 100 researchers.

Huaxia Wangمشاهده پروفایل

استادیار

• Wireless Communications
• Deep Learning
• Robotics
• +۶ مورد دیگر

Huaxia Wang is an Assistant Professor in the Department of Electrical & Computer Engineering at Rowan University, part of the Henry M. Rowan College of Engineering. He holds a Ph.D. in Electrical Engineering from Stevens Institute of Technology (2018) and previously served as an Assistant Professor at Oklahoma State University (2020–2023). His research focuses on deep reinforcement learning, adversarial networks, meta-learning, graph neural networks, robotic control, and wireless communications. Education: Ph.D., Electrical Engineering, Stevens Institute of Technology (2018) M.S., Electrical Engineering, Stevens Institute of Technology (2014) B.S., Information Engineering, Southeast University, China (2012) Research interests include distributed control in wireless communications, robotic arm control in virtual environments, and multimodal learning for visual inspection. Recent work emphasizes applications in healthcare (e.g., lung ultrasound scoring) and infrastructure monitoring (e.g., concrete defect classification). Scientific Awards: Charles Kao Best Paper Award (2024) Grants/Projects: $100K from AeroDefense (2025–2026) $500K from the Department of Energy (2023–2025) $250K from the Institute for Advanced Engineering, Korea (2022–2027) His work integrates AI-driven solutions for robotics, communications, and healthcare, with a focus on practical applications such as remote robotic control and robust signal processing.

Jorge Pullinمشاهده پروفایل

استاد

• Quantum Gravity
• General Relativity
• Loop Quantum Gravity
• +۳ مورد دیگر

Jorge Pullin is a Professor and Horace C. Hearne, Jr. Chair of Theoretical Physics at Louisiana State University (LSU), affiliated with the Department of Physics & Astronomy within the College of Science. He holds a Ph.D. from the Instituto Balseiro, Argentina (1988). His research focuses on quantum gravity and general relativity, particularly canonical quantization methods and loop quantum gravity. Collaborating with Rodolfo Gambini since 1990, Pullin has co-authored influential works like the book Loops, knots, gauge theories and quantum gravity (1996). He challenges mainstream string theory by advocating for quantization of general relativity itself. His work also explores black hole collisions, leveraging LSU's access to the world's fastest university-controlled supercomputer for numerical relativity simulations, and contributes to gravitational wave detection via LIGO collaborations. Recent articles highlight interdisciplinary efforts in quantum foundations, including interpretations of quantum mechanics and consciousness theories, alongside advancements in dark matter searches and scalar field interactions with quantum black holes. Pullin's group has pioneered the Lazarus Project and developed novel lattice-based quantum gravity approaches. Awards: Hearne Chair of Theoretical Physics His advising and grants activities reflect no listed students but significant collaborative efforts. Research is anchored at the Hearne Institute of Theoretical Physics, where he leads investigations into quantum gravity's implications for spacetime and black hole physics.

Xufeng Zhangمشاهده پروفایل

استادیار

• Spin Wave Dynamics
• Magnon-Based Information Processing
• Quantum Hybrid Magnonics
• +۴ مورد دیگر

Dr. Xufeng Zhang is an Assistant Professor of Electrical and Computer Engineering at Northeastern University, affiliated with the Cross-College Magnetics Center. He holds a PhD from Yale University (2016) and previously served as a postdoctoral fellow and scientist at Argonne National Laboratory. His research focuses on spin wave dynamics, magnon-based information processing, quantum hybrid systems, and integrated devices at the intersection of magnonics, photonics, and mechanics. Education: PhD in Electrical Engineering, Yale University, 2016 Research Interests: Experimental study of spin wave dynamics and magnonic devices Coherent and quantum information processing using magnonics Integrated microwave, photonic, magnonic, and mechanical systems Key Projects: Co-PI for NSF-funded SHIELD project ($500K) enhancing wireless radios via magnon-phonon coupling PI for ONR-funded THz system-on-a-chip project ($420K) improving cryogenic THz systems Awards: ONR Young Investigator Program Award (2022) Labs & Teams: He leads the XLab, focusing on hybrid magnonic systems. His work bridges quantum engineering, nanotechnology, and materials science to advance next-generation information processing and sensing technologies.

Francesco Picarielloمشاهده پروفایل

پژوهشگر

• Electrical and Electronic Measurements
• Data Acquisition Systems
• Compressive Sampling
• +۷ مورد دیگر

Francesco Picariello is a Researcher at the Department of Engineering (DING) at the University of Sannio, specializing in Electrical and Electronic Measurements (ING-INF/07). His academic profile shows extensive expertise in measurement systems, data acquisition, and signal processing with applications across multiple domains including biomedical engineering, structural health monitoring, and wireless communications. His research interests focus on the design, implementation, and metrological characterization of mobile measurement systems, wireless sensor networks, data acquisition systems based on compressed sensing, signal processing, and image processing. These research activities have been applied to intelligent transportation systems, aerial photogrammetry using UAVs, indoor navigation, motion tracking, power consumption analysis of processors, wideband data acquisition systems, and physiological monitoring applications. Dr. Picariello's work demonstrates significant trends in compressive sampling techniques, with numerous publications on ECG signal processing, RF emitter localization, and structural health monitoring systems. His research shows a clear progression toward IoT integration, wearable medical devices, and security applications for communication channels. His scientific collaborations include institutions such as the University of Naples 'Parthenope', Military University of Technology of Warsaw, National Institute of Standards and Technology (NIST), Keysight Laboratories, CERN Institute, and the University of Tokyo, reflecting the international recognition of his work. As an active researcher with publications spanning from 2016 to 2025, Dr. Picariello has made substantial contributions to measurement science, particularly in the development of novel techniques for data acquisition, signal processing, and system metrological characterization across multiple application domains.

Petteri Muukkonenمشاهده پروفایل

مدرس ارشد

• Geography of Well-being and Education
• Urban Studies and Planning
• Active Transportation
• +۷ مورد دیگر

Petteri Muukkonen serves as Senior University Lecturer in Geography at the Department of Geosciences and Geography, University of Helsinki, where he also holds a Docentship in Biogeography since 2008. He directs the Master's Program in Urban Studies and Planning (USP) and leads the Geography of Well-being and Education research group. Muukkonen is actively involved in multiple research initiatives including the Equal Suburbs with Physical Activity (YLLI) project as Consortium director and the CRITICAL project as Workpackage leader. His institutional affiliations extend to the Institute for Urban Studies (Urbaria), Helsinki Inequality Initiative (INEQ), Teachers' Academy, and Institute of Sustainability Science (HELSUS). Dr. Muukkonen's educational background includes a PhD in Geography from the University of Helsinki (2006), MSc and BSc in Geography from the University of Turku (2002, 2000), and additional qualifications in Education (University of Helsinki, 2016), Business and Economics (University of Eastern Finland, 2014), Special Needs Education (University of Helsinki, 2014), and Nordic Languages and Cultures (University of Helsinki, 2020). His research spans geography education, urban studies, physical activity in suburban environments, and biodiversity in boreal ecosystems. Muukkonen's work bridges educational theory with practical applications in urban planning and environmental sustainability. He has published extensively across geography, environmental science, and educational fields with over 180 research outputs and 13 active projects. His recent publications demonstrate a strong focus on integrating geographical knowledge with contemporary societal challenges including climate justice, active transportation, and critical media literacy. Muukkonen has received multiple Outstanding Reviewer Awards from prestigious journals including Ecological Indicators, Ecological Informatics, Energy Ecology & Environment, and Journal of Cleaner Production. He also participated in the GALA2022 Serious Games Competition. With over 410 academic activities recorded, including 99 peer reviews and 92 oral presentations, he maintains an active scholarly presence. As an educator and researcher, Muukkonen supervises Master's theses and participates in doctoral education through the Doctoral Programme in School, Education, Society and Culture. His work on the YLLI project and CRITICAL initiative demonstrates his commitment to translating research into practical solutions for urban challenges and educational innovation.

Ben Hougeمشاهده پروفایل

استاد

• Music Technology
• Video Game Audio
• Interactive Music
• +۷ مورد دیگر

Ben Houge is a Professor in the Electronic Production and Design (EPD) department at Berklee College of Music, where he has been teaching music technology since 2011. He also serves as a Senior Audio Lead at Bungie and previously held key audio roles at Sierra and Ubisoft. His work spans academia, game audio, digital art, and immersive multisensory experiences. Bachelor of Arts in Music, St. Olaf College (1996) Houge’s research and artistic practice focus on the intersection of music, technology, and sensory experience. He is best known for his food operas —multisensory dining events that use real-time, interactive soundtracks delivered via mobile devices. These projects apply video game audio techniques to everyday experiences, exploring cross-modal correspondences between taste and sound. His work often involves algorithmic composition, audience participation, and interdisciplinary collaboration with chefs, scientists, and musicians. His recent creative output includes large-scale installations and performances such as Night Rain , On the Sensations of Beer , and Mugaritz XX , which blend real-time audio, mobile technology, and cultural narratives. His publications and performances reflect a strong trend in interactive music systems , site-specific sound design , and audience-engaged art , often drawing from historical, poetic, and scientific sources. Selected awards and recognitions include: Faculty-Led Innovations in Education (FLY) Grant (2019) Berklee Newbury Comics Faculty Fellowship (2017) Knight Foundation Grant (2015) Artist Residency at MIT (2011) Shortlist, Guggenheim YouTube Play Biennial (2010) Stranger Genius Award (2004) Houge lectures widely at institutions such as MIT, Harvard, and the Shanghai Conservatory, and at major conferences including GDC, ICMC, and TEDx. He has advised and mentored students through academic and project-based learning, particularly in the areas of audio programming and interactive media. His work has been supported by grants from the Knight Foundation and Berklee, enabling large-scale public and collaborative art projects. He is actively involved in the global digital art and game audio communities, with exhibitions and performances across North America, Europe, and Asia. He has led initiatives such as the Vox Festival and the launch of Berklee’s master’s program in Valencia, Spain. His labs and creative teams often involve collaborations with ensembles like Zeitgeist, institutions like the Boston Symphony Orchestra, and research groups such as Oxford’s Crossmodal Research Laboratory.

• Wireless Networks
• Internet of Things (IoT)
• Network Protocols
• +۹ مورد دیگر

Fabrizio Giuliano is a Researcher at the University of Palermo in the School of Mathematics and Computer Science , focusing on Wireless Networks , Internet of Things (IoT) , and Network Protocols . His academic activities include teaching courses like Computer Networks , Internet of Things , and IoT and Cloud Security to students in Informatics, Biomedical Engineering, and Cyber-Physical Systems programs. Research Interests : Giuliano's work spans Wireless communication (LoRaWAN, Sigfox, WiFi, ZigBee) Smart water distribution systems and energy-autonomous IoT Interference detection and cross-technology coexistence 5G network infrastructure Augmented Reality for accessibility Privacy-preserving smart grid systems Publication Trends : His recent articles (2025–2023) focus on AI integration in IoT testbeds Scalable water distribution monitoring Information-theoretic analysis of fNIRS signals Interference mitigation in LPWANs Context-aware 5G architectures Hybrid VLC/WiFi networks Academic Contributions : Giuliano has edited theses on fNIRS signal analysis and IoT-integrated biosensors , reflecting his interest in biomedical applications of wireless systems.

• Mobile and wireless systems
• Internet of Things (IoT)
• Edge computing
• +۷ مورد دیگر

Mahanth Gowda is an Associate Professor in the Department of Computer Science and Engineering, leading a prolific research program at the intersection of mobile systems, wireless sensing, and human-computer interaction. His work has been continuously funded by the U.S. National Science Foundation since 2019, serving as Principal Investigator on four awards and Co-PI on two others, collectively spanning edge computing for XR, sign-language recognition, next-generation wireless networking, and healthcare-oriented wearables. Research Interests Millimetre-wave and ultra-wideband sensing for 3-D finger motion tracking and speech eavesdropping Edge-IoT platforms for real-time sign-language recognition and translation Neural-augmented game streaming and super-resolution on commodity mobile devices Open-source wearable systems for sports analytics and rehabilitative healthcare Security and privacy implications of motion sensors in smartphones and IoT devices Over the past five years his publication trajectory has concentrated on leveraging emerging radio modalities—especially millimetre-wave radar, Wi-Fi, and UWB—to extract fine-grained human-centric information such as finger gestures, facial micro-motions, and spoken content. A complementary thread develops edge-native machine-learning frameworks that push intelligence to resource-constrained devices, enabling immersive AR/VR experiences and assistive technologies for the Deaf and hard-of-hearing communities. Grants & Projects CAREER: Sign-to-Speech – NSF, $500k, 2021-2026; Edge-IoT platform for real-time ASL recognition. SHF: Medium: Next-Gen XR Edge Platform – NSF, $1.2M, 2022-2025; Co-PI with Das, Sivasubramaniam, Kandemir. CNS Core: IoTScope – NSF, $450k, 2020-2025; Sensing physical materials via low-cost IoT radios. CNS Core: Medium: ML-driven Next-G Wireless – NSF, $800k, 2020-2024; Co-PI with Yang and Mahdavi. I-Corps: Smart Ring for Healthcare Analytics – NSF, $50k, 2023-2025; Commercialization of finger-motion wearables. Labs & Teams Gowda directs a research group that operates at the confluence of wireless networking, embedded systems, and applied machine learning. The lab maintains active collaborations with faculty in computer architecture, augmented reality, and accessibility studies, and routinely mentors graduate researchers whose work appears in top-tier venues such as ACM MobiCom, IEEE INFOCOM, ISCA, and ACM IoTDI.

• Cybersecurity
• Privacy
• Networking for Big Data
• +۴ مورد دیگر

Shui Yu is a Professor of the School of Computer Science in the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), where he also serves as the Deputy Chair of the UTS Research Committee. His academic career spans over 20 years in Australia and 7 years in China, with additional teaching experience in Hong Kong and Indonesia. He has developed more than 10 units in cybersecurity, computer science, data analytics, and computer games, serving as the Course Director for Computer Science undergraduate programs. Professor Yu's research interests center on cybersecurity, privacy, networking aspects of Big Data, and applied mathematics for computer science. He pioneered the field of 'networking for big data' in 2013 and edited the seminal book 'Networking for Big Data' published in 2015. His work has practical applications in industry, including Amazon Cloud's auto-scale strategy against distributed denial-of-service attacks. Current research focuses include privacy and security concerns associated with big data, security issues in smart grids, anonymous transactions on Blockchain, and anonymous communication for web browsing privacy. Analysis of his recent publications reveals a strong research trajectory spanning cybersecurity, privacy-preserving technologies, networking for big data, and applied mathematics. His work shows increasing focus on quantum-resistant cryptography, federated learning security, and adversarial robustness in AI systems. The interdisciplinary nature of his research bridges theoretical foundations with practical applications in IoT, blockchain, and cloud environments. Fellow of IEEE (2023) Distinguished Lecturer of IEEE Communications Society (2018-2021) Distinguished Visitor of IEEE Computer Society (2022-2024) Professor Yu has secured numerous research grants from the Australian Research Council, including current projects on privacy and fairness in high intelligence models (DP240100955), improved security and privacy for online platforms (LP220200808), and secure blockchain for financial applications (LP220100453). He has served on editorial boards of multiple IEEE journals including IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, and IEEE Internet of Things Journal. His service extends to organizing major conferences such as IEEE Globecom 2015 and IEEE INFOCOM 2016-2017.

Elena Simona Lohanمشاهده پروفایل

استاد

• Wireless Positioning
• GNSS Algorithms
• Wearable Computing
• +۷ مورد دیگر

Elena Simona Lohan is a Professor at Tampere University's Faculty of Information Technology and Communication Sciences , leading the Signal Processing for Wireless Positioning research group. She also holds a Visiting Professor position at Universitat Autonoma de Barcelona's SPCOMNAV group. Education : MSc in Electrical Engineering (Politehnica University of Bucharest, 1997), DEA in Econometrics (École Polytechnique, Paris, 1998), PhD in Telecommunications (Tampere University of Technology, 2003) Research Focus : GNSS algorithms, interference detection, wearable computing, and 5G positioning convergence. Her work spans signal processing for GNSS (Galileo, GPS, GLONASS, BeiDou), indoor/outdoor localization, and IoT communication. She coordinates the H2020 MSCA European Joint Doctorate A-WEAR and serves as Associate Editor for the Journal of Navigation and IET Radar, Sonar & Navigation . Notable projects include GRAMMAR (Galileo receivers), UJI IndoorLoc Platform , and SP4TE collaborations. She has authored over 250 publications and 6 patents.

Thomas Littleمشاهده پروفایل

استاد

• Smart and Connected Systems
• Visible Light Positioning
• Mobile and Vehicular Ad Hoc Networks (MANETs)
• +۲ مورد دیگر

Thomas Little is a Professor in the Department of Electrical & Computer Engineering and Systems Engineering at Boston University, serving as the Associate Dean of Educational Initiatives. He holds a PhD from Syracuse University (1991) and leads the Multimedia Communications Laboratory. His research focuses on smart systems, visible light positioning, MANETs, pervasive computing, and optical wireless communications. Key honors include the Kern Faculty Fellow, NSF CAREER Award, and Senior Member of IEEE. His teaching spans courses like EC444 (Smart Systems) and EC744 (Mobile Ad Hoc Networking). He is affiliated with the Center for Information and Systems Engineering and Clean Energy Sustainability Initiative. Recent publications emphasize optical wireless networks, interference mitigation, and 3D localization. Over 150 articles showcase advancements in VLC systems, hybrid RF/VLC networks, and smart lighting integration with 5G frameworks. His work bridges communication technologies and environmental sustainability.

• Antenna Engineering
• Radar Technology
• Electromagnetic Fields
• +۳ مورد دیگر

Prof. Dirk Heberling is a Universitätsprofessor at RWTH Aachen University, leading the Institute for High Frequency Technology. His research focuses on advanced antenna systems, radar technology, and electromagnetic field exposure assessment in 5G/6G networks. He specializes in high-frequency components, including leaky-wave antennas, reconfigurable intelligent surfaces, and robot-based antenna measurement systems. His work addresses challenges in antenna design, signal processing, and environmental compliance for next-generation communication infrastructure. Key research areas include: Development of wideband antennas for IoT and smart building applications Numerical analysis of near-field antenna measurements and phase recovery techniques Assessment of radio frequency exposure from massive MIMO base stations using digital twins Integration of radar systems with automotive technologies for self-localization and object detection Optimization of antenna arrays to mitigate grating lobes and phase synchronization issues His lab operates a state-of-the-art robot-based mm-wave test system capable of spherical near-field measurements and real-time auralization of aircraft noise. This infrastructure supports both fundamental research and industry collaborations in telecommunications, automotive radar, and environmental monitoring. Current projects emphasize: Exposure modeling for 6G networks considering increased base station utilization Generative adversarial networks for radar data synthesis Calibration techniques for polarimetric radar systems

• Wireless Communications
• Radio Channel Modeling
• Millimeter Wave Propagation
• +۶ مورد دیگر

Jun-ichi Takada is a prominent researcher in wireless communications with extensive contributions to radio channel modeling, millimeter wave propagation, and wireless body area networks. His work spans over 15 years with consistent high-impact publications in IEEE journals and conferences. Dr. Takada's research focuses on several key areas in wireless communications: Advanced radio channel modeling for 5G/6G systems Millimeter wave propagation characteristics in various environments Wireless body area network (WBAN) channel characterization Channel sounding and measurement techniques Indoor and outdoor propagation modeling Antenna design and performance evaluation Wireless localization and spectrum sharing techniques Analysis of Dr. Takada's recent publications (2022-2025) reveals a strong focus on next-generation wireless systems, with particular emphasis on site-specific channel modeling for 5G/6G, millimeter wave applications, and innovative measurement techniques. His work increasingly integrates machine learning approaches with traditional signal processing methods for wireless channel analysis and human detection applications. Dr. Takada has collaborated extensively with researchers across Japan and internationally, demonstrating leadership in several major research projects related to wireless communications standardization and development.

• Internet of Things
• RFID and antenna design
• Wireless sensor networks
• +۵ مورد دیگر

Turke Althobaiti is an active researcher and faculty member whose recent work is concentrated in electrical and computer engineering, with strong interdisciplinary links to computer science and biomedical informatics. Based on co-author affiliations and publication scopes, he is associated with King Saud University, College of Engineering, Department of Electrical Engineering . Research Interests: Design of UHF RFID antennas and Internet-of-Things sensing systems. Localization and communication in smart cities, including non-line-of-sight mitigation and 5G/6G networks. Machine-learning-driven healthcare applications—ranging from COVID-19 detection via chest X-rays to arrhythmia and pneumonia screening. Assistive technologies for the visually impaired, employing contactless RF sensing and AI-based navigation aids. Cloud-security solutions, specifically ensemble intrusion-detection systems against flash-crowd attacks. Cross-disciplinary forays into metabolomics biomarkers and human-animal affective computing. Across 15 recent publications (2019-2025), Althobaiti demonstrates a clear trajectory toward AI-enabled sensing and communication . Workflows combine hardware-level innovations (antennas, RFID tags, USRP radios) with data-level advances (deep learning, ensemble methods, privacy-preserving techniques) to address real-world problems in healthcare, smart cities, and assistive living. Scientific Awards & Recognition: No specific awards are listed in the provided text. Advising & Grants: While no explicit list of students or funded projects is given, the high volume of multi-institutional collaborations and senior-author positions suggest active supervision of graduate researchers and participation in funded projects, most likely supported by the Deanship of Scientific Research at King Saud University or similar Saudi funding bodies. Laboratories & Teams: Though no formal laboratory names are provided, the breadth of hardware prototyping, RF experimentation, and AI model development implies access to well-equipped laboratories in RF/microwave engineering, embedded systems, and computational intelligence.