جست‌وجوی استاد و پژوهشگر

Huan Nguyenمشاهده پروفایل

استاد

• Digital Twin Modeling
• Machine Learning
• Wireless Communications
• +۵ مورد دیگر

Prof. Huan Nguyen is a Professor of Digital Communication Engineering at Middlesex University, affiliated with the Faculty of Science and Technology's Design Engineering & Mathematics department. He leads the London Digital Twin Research Centre and the 5G/6G & IoT Research Group. He holds a PhD from the University of New South Wales (2007) and a BSc from Hanoi University of Science & Technology (2000). Research Interests: Digital twin modeling, machine learning for disaster management and structural health monitoring, 5G/6G communication systems, and IoT. His work focuses on smart factories, critical infrastructure resilience, and healthcare applications like stroke care via digital twins. Grants & Leadership: Secured £2.5M+ in grants, including projects on quantum-assisted digital twinning (QuanDT, £93K), cognitive twins for Dubai manufacturing (£270K), and stroke care in Vietnam/Indonesia (StrokeDT, £99.8K). Served as PI or Co-I on 15+ grants from EPSRC, British Council, and industry partners. Teaching: Currently teaches Digital Communication Systems and Major Project modules. Previously instructed courses in digital communications, wireless systems, and telecommunications at Middlesex and other institutions. Awards & Roles: Senior Fellow of the HEA (2019), Senior IEEE Member, and Chair of the Vietnamese Intellectual Society in the UK/Ireland. Editor for KSII Transactions on Internet and Information Systems and REV Journal on Electronics and Communications . Labs & Teams: Leads research groups focused on digital twins, 5G/6G, and IoT. Collaborates with global partners like VinGroup, Vietnamese universities, and UK institutions on Industry 4.0 and healthcare innovation.

James Youngمشاهده پروفایل

استاد

• Human-Computer Interaction
• Human-Robot Interaction
• Robotics
• +۶ مورد دیگر

James Young is a Professor in the Department of Computer Science at the University of Manitoba, within the Faculty of Science. He holds a PhD and specializes in Human-Computer Interaction (HCI) and Human-Robot Interaction (HRI). His work focuses on designing socially intelligent robots, trust calibration in HRI, and ethical implications of robotic systems. He leads the HCI Lab, collaborating closely with Japanese robotics researchers, and has pioneered projects like the SnuggleBot companion robot and frameworks for robot capability labeling. Education: PhD in Computer Science Research interests include social robotics, teleoperation systems, and human-robot collaboration. He has explored applications in mental health support, disability inclusion, and cultural reconciliation through virtual reality. His lab emphasizes interdisciplinary approaches, combining engineering, psychology, and design principles. Current research includes designing anti-bullying interventions using robots, privacy-friendly robot interfaces, and exploring the societal impact of AI systems. He actively mentors graduate students in HCI and robotics, with funding opportunities for exceptional candidates. His work has been showcased in venues like HRI conferences and ACM publications, emphasizing both technical innovation and ethical considerations. Collaborations extend to international partnerships and industry applications in healthcare and education.

Zhu Hanمشاهده پروفایل

استاد

• Game Theory
• Wireless Networking
• Security
• +۴ مورد دیگر

Dr. Zhu Han is the John and Rebecca Moores Professor at the University of Houston's Cullen College of Engineering, Department of Electrical and Computer Engineering. His research focuses on game theory, wireless networking, security, data analysis, and smart grid applications. He holds doctoral and master's degrees from the University of Maryland and a bachelor's from Tsinghua University. Research interests span: Next-generation wireless systems (6G/7G) AI/ML integration in communications Reconfigurable intelligent surfaces Quantum machine learning applications Secure and efficient network architectures His recent publications demonstrate strong focus on generative AI integration in wireless systems, quantum networking, semantic communications, and security frameworks for future networks. Awards and honors include: IEEE/ACM/AAAS Fellow status IEEE Kiyo Tomiyasu Award (2021) Highly Cited Researcher since 2017 IEEE Distinguished Lecturer (2015-2018) Dr. Han leads research in wireless communications and networking, with extensive industry collaboration. His lab focuses on developing theoretical foundations and practical implementations for next-generation communication systems.

Reza Salkhordehمشاهده پروفایل

مدرس

• Operating Systems
• Solid-State Drives
• Data Storage Systems
• +۵ مورد دیگر

Reza Salkhordeh is a Lecturer and Postdoctoral Researcher at Johannes Gutenberg University Mainz, Germany, where he leads the Efficient Computing and Storage Group. He holds a Ph.D. in Computer Engineering from Sharif University of Technology (2018) and has been affiliated with Ferdowsi University of Mashhad and Sharif University of Technology. His research focuses on operating systems, storage systems, and non-volatile memory technologies, with a particular emphasis on high-performance computing and I/O optimization. He has taught courses such as Storage Systems and Advanced Topics in Operating Systems since 2020. His academic journey includes a B.Sc. from Ferdowsi University (2011), M.Sc. and Ph.D. from Sharif University (2013, 2018). He has held roles such as Technical Lead for the High-Performance Data Storage System (HPDS) project in Tehran, Iran, and has mentored 4 M.Sc. and 6 B.Sc. students. His work spans patented technologies like Reconfigurable Cache Architectures and Load Balancers for I/O caching systems. Research interests include heterogeneous memory management, storage system design, and optimizing I/O performance in distributed environments. His recent publications address challenges in NVMM utilization, garbage collection in SSDs, and I/O tracing for HPC systems. He is actively involved in conference committees (e.g., FAST, ARCS, SC) and has reviewed for top journals like IEEE TPDS and ACM Transactions on Storage. Notable recognitions include membership in Iran’s National Elites Foundation (2012–2015) and top rankings in national exams (3rd in PhD, 35th in MSc). His contributions to storage systems have advanced enterprise-grade architectures and decentralized file systems, with a focus on practical implementations for modern computing challenges.

Aly Fathyمشاهده پروفایل

استاد

• Antenna Design
• Microwave Engineering
• Phased Array Antennas
• +۵ مورد دیگر

Dr. Aly Fathy is a Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He is affiliated with the Tickle College of Engineering and holds a PhD in Electrical Engineering from the Polytechnic Institute of New York (1984). His research focuses on antenna design, microwave engineering, phased arrays, and biomedical radar applications. He has led the development of advanced radar systems for non-invasive health monitoring and contributed to innovations in UWB, MIMO, and millimeter-wave technologies. Education: PhD in Electrical Engineering, Polytechnic Institute of New York, 1984 MS in Electrical Engineering, Ain Shams University, Cairo, Egypt, 1980 BS in Pure & Applied Mathematics (Honors) and BS in Electrical Engineering (Honors), Ain Shams University, Cairo, Egypt, 1979 Research Interests: Dr. Fathy's work bridges theoretical electromagnetic analysis and practical applications. He has pioneered reconfigurable antennas, radar systems for vital sign detection, and microwave heating technologies. His research includes: Development of compact, high-performance antennas for 5G and satellite communications Ultra-Wideband (UWB) radar for through-wall imaging and non-contact health monitoring Biomedical applications, such as heart rate and respiration detection using Doppler radar Advanced phased array designs and microwave circuit optimization Publications & Trends: His recent work emphasizes multi-subject vital sign monitoring, millimeter-wave radar systems, and AI-driven signal processing. Key themes include improving radar accuracy in cluttered environments and enhancing biomedical sensor reliability. Awards: Sarnoff Team Award (1999) for DBS antenna development Outstanding Achievement Awards (1989–1997) for contributions to superconductors, embedded filters, and antenna innovation Best Paper Award at IEEE-MTT Symposium (1988) Grants & Advising: Dr. Fathy has advised over 10 graduate students and secured significant industry partnerships, including grants from Agilent and Ansoft. He established state-of-the-art labs for antenna testing, microwave circuit fabrication, and high-frequency simulations. Labs & Teams: His research group collaborates with biomedical departments on cross-disciplinary projects, such as fiber-optic communication systems and electromagnetic biological effects analysis.

Himanshu Guptaمشاهده پروفایل

استاد

• Quantum Networks
• Wireless Networks
• Distributed Quantum Processing
• +۳ مورد دیگر

Himanshu Gupta is a Professor in the Department of Computer Science at Stony Brook University, where he also serves as Director of the Center for Quantum Computing and Networking. His research focuses on theoretical and applied aspects of quantum networks, distributed quantum processing, and spectrum management. He earned his Ph.D. in Computer Science from Stanford University in 1999 and a B.Tech. from the Indian Institute of Technology Bombay in 1992. Research interests include quantum entanglement distribution, quantum sensor networks, and free-space optical communications. Current projects involve entanglement distribution in quantum networks, distributed quantum computing, and quantum sensor applications. He has advised numerous Ph.D. students and collaborates actively with researchers like C.R. Ramakrishnan and Mark Hillery. Teaching responsibilities include foundational courses such as CSE 215 (Foundations of Computer Science) and CSE 532 (Theory of Database Systems). His lab, the Wireless Networking and Simulations Lab (WINGS), explores cutting-edge topics in networking and quantum systems. Notably, his work on spectrum allocation and quantum communication protocols has been widely recognized.

Chadi Assiمشاهده پروفایل

استاد

• Wireless Networks
• Information Security
• Cybersecurity
• +۶ مورد دیگر

Chadi Assi is a Professor and Tier II Concordia Research Chair at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on wireless networks, information security, and smart grid systems, with particular emphasis on reconfigurable intelligent surfaces (RIS), integrated sensing and communication (ISAC), cybersecurity for electric vehicles (EVs), and machine learning-driven network optimization. He has pioneered work on mitigating cyber-physical attacks in power grids and IoT ecosystems, while advancing cooperative communication protocols like RSMA and NOMA. His technical contributions span theoretical frameworks for energy efficiency maximization in hybrid SDMA/NOMA schemes, low-complexity RIS element selection algorithms, and adversarial PINN models for grid dynamics. He also investigates vulnerabilities in EV charging infrastructure and O-RAN synchronization protocols, proposing robust detection mechanisms like PEACE and Grid Mirror. His interdisciplinary work bridges communications, power systems, and AI, addressing challenges in 5G/6G security and resilient IoT provisioning. Key Research Areas: RIS-enabled ISAC networks, EV cybersecurity, meta-learning in communications, IoT malware analysis Current Projects: Grid resilience against load-altering attacks, Movable antenna optimization, federated learning for AGC systems Recent publications (2024-2025) emphasize deep reinforcement learning frameworks for RIS-aided networks, cooperative RSMA performance enhancement, and defense mechanisms against dynamic trigger-based attacks. He has also developed novel datasets for advanced persistent threats and frameworks like ChargePrint for EV charging security analysis. His work is published in top venues including IEEE Transactions on Smart Grid, IEEE JSAC, and IEEE ICC, reflecting contributions to both theoretical advancements and practical system implementations.

Lee Blalockمشاهده پروفایل

دانشیار

• Posthuman Practices
• Embodied Cognition
• Anatomy and Biomechanics
• +۶ مورد دیگر

Lee Blalock is an Associate Professor in the Art & Technology / Sound Practices Department at the School of the Art Institute of Chicago (SAIC). Their work explores posthumanism, embodied cognition, and hybrid identities through technology-mediated processes. Blalock holds an MFA from SAIC (2011), an AA from Bauder College (1999), and a BS from Spelman College (1994). Education : BS, 1994, Spelman College, Atlanta AA, 1999, Bauder College, Atlanta MFA, 2011, School of the Art Institute of Chicago Research Interests : Blalock's practice focuses on reconfiguring the body through technology, emphasizing anatomical modification, computational systems, and non-human entanglement. Projects often blend wearable electronics, generative algorithms, and performative rituals. Key themes include agency, hybrid identities, and the intersection of biology with mechanical systems. Exhibitions/Performances : Work has been shown at Ars Electronica, NYU Abu Dhabi Art Gallery, Museum of Contemporary Art Chicago, and Elastic Arts. Notable projects include Ev3ryd4y Cyb0rg TV (2025), 0(zero)body drawings (2024), and Sy5z3n_3 (2018). Labs/Teams : Blalock maintains a DIY studio practice focused on experimental material exploration and interdisciplinary collaboration. Their work often involves custom hardware/software systems and live performance frameworks.

Yeongin Kimمشاهده پروفایل

استادیار

• Flexible Electronics
• Semiconductor Materials
• Neuromorphic Engineering
• +۲ مورد دیگر

Yeongin Kim is Assistant Professor in Electrical and Computer Engineering at University of Cincinnati, with secondary appointment in Materials Science and Engineering. His research develops novel electronic materials and devices for flexible/stretchable applications. Research focuses on remote epitaxy, van der Waals epitaxy, and solution-based processing to create soft electronic systems including neuromorphic devices, health monitors, and bio-inspired sensors. Prior to UC, he was Postdoctoral Associate at MIT and Research Assistant at Stanford University.

Scott Noklebyمشاهده پروفایل

استاد

• Robotics Engineering
• Mechatronics Systems
• Automation Technologies
• +۷ مورد دیگر

Dr. Scott Nokleby is an Associate Dean, Academic and Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology. He holds a PhD in Mechanical Engineering from the University of Victoria (2003), and has over two decades of academic leadership and research experience. His primary roles include academic administration and advancing robotics and mechatronics research. Education: PhD (Mechanical Engineering, UVic, 2003), MASc (Mechanical Engineering, UVic, 1999), BEng (Mechanical Engineering with Co-op, UVic, 1997). Research interests focus on advanced robotics topics including parallel manipulators, mobile-manipulator systems, kinematic redundancy analysis, and autonomous systems. His work emphasizes practical applications such as radiation mapping robots, perching drones, and robotic hazard management. Notable contributions include optimal design methodologies for mechanisms and control systems for human-robot interaction. Publications reflect expertise in robotics systems, mechatronics, and nuclear engineering applications. Recent work explores multi-robot task allocation, autonomous navigation, and advanced control algorithms. Awards: Fellow of ASME (2022) Fellow of CSME (2016) CSME Best Paper Award (2014) UOIT Research Excellence Award (2008) CSME I.W. Smith Award (2007) Teaches graduate courses in advanced robotics, mobile robotic systems, and mechanism design. Active in academic administration, he bridges teaching innovation with engineering education through projects like tablet computing integration in design courses. Labs/Teams: Leads robotics research initiatives focused on autonomous systems development, with collaborations spanning nuclear safety, mining automation, and aerospace applications.

QIU Cheng-Weiمشاهده پروفایل

استاد

• Optics
• Photonics
• Metasurfaces
• +۴ مورد دیگر

QIU Cheng-Wei is a Professor at the Department of Electrical & Computer Engineering, National University of Singapore (NUS). He is a Fellow of the American Physical Society (APS), Optica, SPIE, and The Electromagnetics Academy (US), renowned for his work in structured light and metasurfaces. Education PhD, National University of Singapore and École Supérieure D’Électricité (2008) His research focuses on advanced optical technologies, including metasurfaces, holography, and nanophotonics. His work has led to over 500 peer-reviewed publications in top-tier journals such as Science, Nature, and Physical Review Letters, with significant recognition for innovations in plasmonic devices and electromagnetic reprogrammability. Scientific Awards SUMMA Graduate Fellowship (2005) IEEE AP-S Graduate Research Award (2006) URSI Young Scientist Award (2008) NUS Young Investigator Award (2011) MIT TR35@Singapore (2012) SPIE Rising Researcher Award (2018) President’s Science Award (2023) Highly Cited Researcher by Web of Science (since 2019) China’s Top 10 Optical Breakthroughs (2019, 2020, 2021 (twice), 2023) QIU has mentored 26 former PhD students and postdocs who now hold academic and industrial leadership roles, including CTOs and CEOs of high-tech companies. He also serves as Editor-in-Chief for eLight and on editorial advisory boards for journals like Laser and Photonics Reviews .

Bikash Palمشاهده پروفایل

استاد

• Power System Stability
• Power System Control
• Dynamic State Estimation
• +۵ مورد دیگر

Bikash Pal is a Professor of Power Systems at Imperial College London’s Department of Electrical and Electronic Engineering, within the Faculty of Engineering. He specializes in power system stability, control, and computation, with research supported by EPSRC, National Grid, GE, and Siemens. His work includes leading large-scale international consortia, such as the six-university UK-China ROSES project (2020–2023), and developing tools like fast power flow and volt-var control for Siemens’ Spectrum Power. He has graduated 30 PhD students and published over 160 papers in IEEE and IET journals, co-authoring four books and award-winning IEEE reports. Education: B.Eng. (First Class Honours, Jadavpur University, 1990), M.Eng. (First Class, IISc Bangalore, 1992), PhD (Best Thesis, Imperial College London, 1999). Research Interests: Power system stability, control, dynamic state estimation, renewable energy integration, and smart grid technologies. His work addresses challenges posed by high renewable penetration, inverter-based resources, and grid resilience. Key Achievements: 2025 IEEE PES Kundur Award, Fellow of IEEE and The Royal Academy of Engineering, 2016 President’s Award for Outstanding Research. He has held visiting professorships at DTU (Denmark), University of Duisburg-Essen (Germany), and Chinese institutions. Professional Roles: Former Vice President of IEEE PES Publications (2019–2023), Editor-in-Chief of IEEE Transactions on Sustainable Energy, and IEEE Distinguished Lecturer. He advises UN agencies and utilities worldwide, contributing to grid stability solutions and training programs. Grants and Collaborations: Major projects with GE, Siemens, UK Power Networks, and international consortia. His research impacts global grid management, including implementations in Columbia, Norway, and Azerbaijan.

Joel Carpenterمشاهده پروفایل

دانشیار

• Optical Communications
• Photonics
• Quantum Optics
• +۵ مورد دیگر

Associate Professor Joel Carpenter is an ARC Future Fellow in The University of Queensland's School of Electrical Engineering and Computer Science. His research focuses on manipulating and measuring spatial, polarization, spectral, and temporal properties of light, particularly through multimode fiber applications in optical telecommunications, biomedical imaging, quantum mechanics, and astronomy. He holds a PhD from the University of Cambridge and has held roles at The University of Sydney and industry positions. Education: Doctor of Philosophy (2009-2012), University of Cambridge, UK Master of Engineering (2007), University of Queensland, Australia Bachelor of Engineering (2002-2006) and Bachelor of Science (2002-2006), University of Queensland, Australia Research interests include spatiotemporal light fields, multimode fiber systems, spatial light modulation, and quantum optics. His work often employs spatial light modulators for beam shaping and control. Recent trends in his publications focus on high-dimensional quantum gates, multi-plane light conversion (MPLC), and ultra-high-speed optical transmission (e.g., 3.56 Peta-bit/s over 55-mode fibers). Awards: ARC Future Fellow Grants/Advising: His ARC Fellowship supports research into novel photonics systems. Advising details are not explicitly listed, but his work involves collaborations with students/postdocs in fiber optics and photonics. Key contributions include development of MPLC devices, spatial tomography techniques, and applications in free-space optical communication. His lab likely focuses on experimental photonics with state-of-the-art spatial light modulators and fiber characterization tools.

• Artificial Intelligence
• Internet of Things (IoT)
• Wireless Communications
• +۴ مورد دیگر

Professor Wei Xiang holds the Cisco Chair of AI and IoT at La Trobe University, leading the Cisco-La Trobe Centre for AI and IoT and the Australian Centre for AI in Medical Innovation. He previously established Australia's first IoT Engineering degree program at James Cook University, earning recognition in the Pearcy Foundation's Hall of Fame. His expertise spans AI, IoT, wireless communications, and medical AI innovation. As an IEEE Associate Editor for multiple journals, he has published over 450 peer-reviewed papers and books. Key roles include: Director & Chief Scientist: Australian Centre for AI in Medical Innovation Founding Director: Cisco-La Trobe AIoT Centre Adjunct Professor: James Cook University Vice Chair: IEEE Northern Australia Section (2016-2020) Research focuses on AI-driven IoT systems, smart agriculture, and medical applications. Awards include La Trobe Research Excellence Award (2021), Pearcey Entrepreneurship Award (2017), and multiple fellowships. Current grants involve AIoT in smart farming, medical innovation, and satellite IoT. He supervises research students in AIoT and advises on collaborative projects. His labs pioneer technologies like radar-based health monitoring and UAV-enabled environmental sensing. Recent publications highlight advancements in wireless communication systems, deep learning models for remote sensing, and hybrid networks.

Melike Erol-Kantarciمشاهده پروفایل

دانشیار

• AI-enabled wireless networks
• 5G and 6G communications
• Smart grids
• +۷ مورد دیگر

Melike Erol-Kantarci is an Associate Professor and Tier 2 Canada Research Chair in AI-enabled Next-Generation Wireless Networks at the School of Electrical Engineering and Computer Science, University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She holds a PhD and has over 140 peer-reviewed publications, with an h-index of 37. Her research focuses on AI-driven wireless networks, 5G/6G communication systems, smart grids, and cybersecurity. Education: PhD in Electrical Engineering (not explicitly stated, inferred from profile). Research interests include AI-enabled wireless networks, smart grids, IoT, and underwater sensor networks. She has received awards such as the 2019 N2Women recognition and IEEE Best Tutorial Paper Award (2017). She serves on editorial boards of IEEE journals and has organized international conferences. Her recent articles emphasize AI applications in 6G networks, secure communications, federated learning, and resource allocation. Key trends include leveraging LLMs for network orchestration, combating adversarial attacks, and optimizing next-gen wireless architectures. Her work on beam selection, ISAC, and RIS-assisted systems addresses critical challenges in 5G/6G. Awards include the Canada Research Chair and best paper recognitions. She actively contributes to open RAN standards and has co-edited books on smart grids and intelligent transportation. Her lab, NETCORE, drives innovation in networked systems.