جست‌وجوی استاد و پژوهشگر

• Wireless Communications
• Coding Theory
• Quantum Information Processing
• +۵ مورد دیگر

Olav Tirkkonen serves as a Full Professor in the Department of Communications and Networking at Aalto University, Finland, a position he has held since August 2006. He leads the Communication Theory research group, driving innovation in wireless communication systems. His academic journey includes a distinguished career spanning industry and academia, with significant contributions to 3G, 4G, and 5G technologies. His educational qualifications are: Doctor of Science (Ph.D.) in Theoretical Physics, Helsinki University of Technology, 1994 Master of Science (M.Sc.) in Theoretical Physics, Helsinki University of Technology, 1990 Professor Tirkkonen's research interests are centered on wireless communications, with a focus on physical layer processing, coding theory, and quantum information processing. His group explores advanced topics including 5G and beyond wireless networks (spectrum management, large-scale MIMO, ultra-reliable low-latency communication), network-level interference coordination, collaborative caching, machine learning applications for wireless channel geography, coding on manifolds, and quantum communication systems. This research bridges fundamental theory with practical implementation in next-generation wireless networks. Analysis of his recent publications (2024-2025) indicates a predominant focus on machine learning techniques for wireless channel modeling (channel charting), pilot allocation in MIMO systems, and quantum error correction. His work is instrumental in addressing key challenges in 5G/6G networks, particularly in scenarios demanding ultra-reliability, low latency, and efficient resource utilization. His scientific contributions include: Co-inventor of approximately 80 families of patents and patent applications Co-author of the book "Multiantenna transceiver techniques for 3G and beyond" Throughout his career, Professor Tirkkonen has mentored numerous graduate students and secured substantial research funding from various sources. His industry experience at Nokia Research Center (1999-2010) and visiting position at Cornell University (2016-2017) have enriched his research perspective and fostered strong industry-academia collaborations. The Communication Theory group, under his leadership, maintains active collaborations with leading institutions and companies worldwide, positioning Aalto University at the forefront of wireless communications research.

Dan Jiaoمشاهده پروفایل

استاد

• Computational Electromagnetics
• Computational Multiphysics
• Electronic Design Automation (EDA)
• +۸ مورد دیگر

Prof. Dan Jiao is the Synopsys Professor of Electrical and Computer Engineering at Purdue University's Elmore Family School. She leads the Rapid-Heterogeneous Integration (Rapid-HI) Design Institute and serves as Editor-in-Chief of the IEEE Journal on Multiscale and Multiphysics Computational Techniques. Her research focuses on computational electromagnetics, multiphysics modeling, and AI-driven design automation for advanced integrated circuits and quantum systems. She has held academic positions since 2005, progressing from Assistant to Full Professor, and has extensive industry experience at Intel Corporation (2001–2005). Education: PhD in Electrical Engineering, University of Illinois at Urbana-Champaign (2001) Senior Staff Engineer at Intel Corporation (2001–2005) Research Interests: Fast numerical methods for large-scale electromagnetic analysis AI/ML integration in design automation (EDA/MDA) Quantum circuits and spin qubit systems Heterogeneous integration and advanced packaging Multiphysics co-simulation for nano-scale devices Signal/power integrity in high-speed systems Key Projects: Leads the NSTC AIDRFIC program (first NSTC R&D Jump Start project), the DARPA NGMM Rapid-HI Design Institute, and the GENIE-RFIC generative design tool initiative. Also directs the Consortium for Electromagnetic Science and Technology. Awards & Honors: 2022 ACES Computational Electromagnetics Award IEEE Fellow (2016) Intel Outstanding Researcher Award (2019) MTT-S Distinguished Microwave Lecturer (2020–2023) 2013 Schelkunoff Prize Paper Award Advising & Grants: Advised over 30 PhD/master's students and led projects funded by NSF, DARPA, Intel, SRC, and industry partnerships. Key grants include NSF CAREER (2008), ONR Young Investigator (2006), and multiple industry-sponsored initiatives. Labs & Teams: Rapid-HI Design Institute (DARPA NGMM) Quantum device co-design group Multiphysics modeling team

Vishal Sharmaمشاهده پروفایل

مدرس ارشد

• Cyber-Physical Systems (CPS)
• 5G and Beyond Security
• Internet of Things (IoT)
• +۴ مورد دیگر

Dr. Vishal Sharma is a Senior Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. His research focuses on Cyber-Physical Systems (CPS), 5G/6G Security, Unmanned Aerial Vehicles (UAVs), Blockchain, and Digital Twins. He has held roles at institutions like Singapore University of Technology and Design (SUTD) and Soonchunhyang University, South Korea. Notable achievements include Best Paper Awards at ICCMIT 2017, IEEE SITE 2024, and HUCAPP/VISIGRAPP 2025. He leads the Innovation-by-Design Lab and is a Fellow of the Higher Education Academy (FHEA). Research Interests: Cyber Defence, UAV Security, Secure Computing, Network Security, and Sustainable Edge Computing. He has collaborated on projects like RapidRANDefender (QRICSec) and Traceable Procurement for Net-Zero Processes. Awards include the Royal Society International Exchanges Committee appointment (2025) and QUB's Individual Performance Award (2024). Grants and Projects: Principal Investigator for projects such as Exploring Operational Capabilities of Arm Morello for UAV Security (2023) and TUDOR: Ubiquitous 3D Open Resilient Network (2023). Active in editorial roles for IEEE Communications Magazine and IET Networks. His work aligns with UN Sustainable Development Goals (SDGs) related to climate action and innovation. Publications span 150+ articles in top journals/conferences, with a focus on secure communication, edge computing, and UAV networks. Supervises PhD students in cyber defence, AI security, and distributed ledger technologies.

Adelina Ilieمشاهده پروفایل

استاد پژوهشی

• Nanoscience
• Nanotechnology
• Graphene Research
• +۷ مورد دیگر

Dr. Adelina Ilie is a Research Professor in the Department of Physics at the University of Bath, where she leads research in Nanoscience and Nanotechnology through multiple interdisciplinary centers including the Centre for Nanoscience and Nanotechnology, Condensed Matter Physics CDT, Centre for Therapeutic Innovation, Condensed Matter and Quantum Materials group, and NanoBioElectronics research. Her research spans fundamental to applied studies of functional nanomaterials with designed atomic-scale behavior. Specializing in graphene and related 2D materials as well as 2D molecular networks, her group employs advanced scanning probe microscopy techniques under ultra-high vacuum and cryogenic conditions to engineer quantum properties for novel applications in nanoelectronics, spintronics, and biomedical sensing. Her recent publications reveal strong trends in quantum materials engineering, particularly in superlattice structures, hybrid 2D systems, and bio-nano interfaces. The research demonstrates sophisticated manipulation of electronic, optical, and thermal properties at the atomic scale, with increasing focus on biomedical applications in recent years. Dr. Ilie actively supervises doctoral students and has served as external examiner for PhD theses at prestigious institutions including University of Cambridge (2024, 2021), University of Oxford (2018), and University of Southampton (2011). Her research is supported by significant grants from EPSRC, MRC, Sir Halley Stewart Foundation, and University of Bath. Her laboratory maintains state-of-the-art facilities for atomically-resolved scanning probe microscopy (STM and AFM) in ultra-high vacuum and cryogenic environments, complemented by chemical vapor deposition systems for nanomaterial fabrication. She maintains active collaborations across Bath's departments of Pharmacy & Pharmacology, Chemistry, and Biology & Biochemistry, as well as with international research institutes specializing in nanoscience.

Sonia Lopez Alarconمشاهده پروفایل

دانشیار

• Quantum Computing
• Computer Architecture
• Heterogeneous Computing
• +۲ مورد دیگر

Sonia Lopez Alarcon is an Associate Professor in the Department of Computer Engineering at the Kate Gleason College of Engineering, Rochester Institute of Technology (RIT). She has been a faculty member since 2009, teaching core courses like Computer Organization and developing quantum computing curricula including the new CMPE-257 undergraduate course and CMPE-757 graduate course. Her research bridges computer architecture and quantum computing with emphasis on practical quantum circuit implementation. Her educational background includes a Bachelor of Physics and Master's in Device Physics from the University Complutense of Madrid (2002), followed by a PhD in Computer Engineering (2009) where she researched cache hierarchy in simultaneous multithreaded architectures. During her studies, she gained industry experience at Lucent Technologies and Fundetel working on integrated circuit design. Dr. Lopez Alarcon's primary research focuses on Quantum Computing and heterogeneous hardware solutions, specifically quantum circuit compilation processes, scalability challenges, and error resilience techniques. She investigates how to translate theoretical quantum algorithms into executable circuits while managing noise and resource constraints, with applications in optimization problems and physics simulations. Her work connects computer engineering principles to emerging quantum technologies. Analysis of her publication timeline shows a strategic shift from traditional computer architecture (2015-2018 cache/HLS research for GPU/heterogeneous systems) to quantum computing (2019-2021). Recent work explores quantum algorithms for combinatorial optimization (Grover's), quantum simulation of physical systems, and machine learning applications, reflecting her adaptation to the rapidly evolving quantum landscape while maintaining her architectural expertise. Her teaching excellence has been recognized through multiple awards: Kate Gleason College of Engineering Exemplary Performance in Teaching Award (2016, 2017, 2020) Computer Engineering Most Effective Teacher Award (2016) She actively mentors graduate students including Mark Danza (MS Computer Engineering candidate 2025), with whom she collaborated on quantum machine learning research featured in Quantum Zeitgeist (May 2025). She contributes to RIT's quantum information science minor launched in 2022, developing curriculum and supervising student research in this emerging field. Dr. Lopez Alarcon leads quantum computing research efforts within RIT's Department of Computer Engineering, collaborating with colleagues like Cory Merkel on quantum algorithm applications. Her work is supported through her personal research website and integration into university-wide quantum initiatives, positioning her at the forefront of academic quantum computing education and research.

• Materials Science
• Nanotechnology
• Chemical Engineering
• +۵ مورد دیگر

Aumber Abbas is a researcher at Newcastle University specializing in advanced materials for sustainable energy and environmental applications. His work spans nanotechnology, catalysis, and biomass conversion, with significant contributions to carbon-based nanomaterials and electrochemical systems development. His research focuses on synthesizing graphene quantum dots from biomass waste for environmental sensing and remediation applications, developing catalytic processes for CO 2 utilization and cyclic carbonate production, and engineering electrochemical systems including vanadium redox flow batteries. Recent work emphasizes waste-derived functional materials for optical security, anti-counterfeiting, and wastewater treatment through nanoporous catalyst design and plasma-based tar removal technologies. Analysis of recent publications (2024-2025) reveals a dominant trend in sustainable nanomaterial engineering, particularly biomass-waste-derived carbon structures with tailored optical and catalytic properties. His work integrates experimental validation with simulation approaches to address energy storage, environmental remediation, and security applications, demonstrating strong interdisciplinary collaboration within Newcastle's engineering research community.

Tingjun Chenمشاهده پروفایل

استادیار

• Wireless Networking
• Millimeter-Wave Networks
• Edge Computing
• +۷ مورد دیگر

Tingjun Chen is the Nortel Networks Assistant Professor in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering, with a secondary appointment in Computer Science. He directs the FuNCtions Lab, focusing on wireless, optical, and quantum networked systems with emphasis on edge computing and energy efficiency. Originally from Tsinghua University (B.S. 2014), he earned M.S. (2018) and Ph.D. (2020) degrees from Columbia University under Gil Zussman. His research spans wireless networking, optical systems, energy-harvesting technologies, and AI-ML integration in communication infrastructure. Recent publications demonstrate expertise in mmWave systems, optical transmission management, and RF in-physics computing, with field trials and testbed deployments in dense urban environments. His work has received multiple top conference paper awards and major grants from NSF, ARO, and industry partners. Key awards include: NSF CAREER Award (2025) IBM Academic Award (2023, 2021) Facebook Fellowship (2019) ACM SIGMOBILE Dissertation Award Runner-up (2021) His lab develops scalable network solutions through projects like: NSF CAREER: Mobile Fronthaul Optimization NSF CC* Integration-Large: Campus RDMA Networking NSF NewSpectrum: Spectrum Monitoring Systems Duke Quantum Network Initiative

• Nanotechnology
• Condensed Matter Physics
• Materials Science
• +۳ مورد دیگر

Chang Liu is an Assistant Professor at the Department of Economics, Stony Brook University. He specializes in advanced microscopy techniques and nanoscale material characterization, with a focus on plasmonics, 2D materials, and quantum phenomena. His research employs cutting-edge tools like scattering-type scanning near-field optical microscopy (s-SNOM) and terahertz spectroscopy to explore electronic and optical properties at the nanoscale. His work spans interdisciplinary areas including graphene heterostructures, Dirac materials, and phase transitions in correlated oxides. Liu’s contributions include developing novel imaging modalities (e.g., BOSON) and advancing understanding of polaritonic systems. He collaborates with synchrotron facilities like NSLS-II for ultra-high resolution studies. Notable research trends include exploring nanoscale structural phase separations, tunable phonon polaritons in van der Waals heterostructures, and nano-photocurrent dynamics in twisted bilayer systems. His technical innovations, such as machine learning for nano-optical data analysis and cryogenic s-SNOM setups, enhance experimental precision. Liu’s lab is part of the Stony Brook Center for Game Theory, though his direct research themes focus on materials physics. Current projects include roadmap development for 2D material photonics and exploring moiré ferroelectricity in twisted WSe₂ systems. No awards or grants are explicitly listed in the provided materials.

• Quantum Optics
• Quantum Information
• Solid-State Quantum Emitters
• +۲ مورد دیگر

Vikas Remesh is a Researcher in the Department of Experimental Physics at the University of Innsbruck, Austria, actively contributing to quantum optics and quantum information science. His work focuses on quantum emitters, particularly semiconductor quantum dots, for developing advanced quantum light sources and control techniques essential for quantum computing and secure communication. His research centers on manipulating quantum states in solid-state systems, with emphasis on chirped-pulse control, dark-state engineering, and high-dimensional entanglement. Key innovations include the SUPER excitation scheme for collective state preparation and methods for high-purity single-photon generation in 2D materials like WSe 2 . His approaches bridge theoretical models with experimental implementations to overcome coherence and stability challenges in quantum photonics. Analysis of his 15 most recent publications (2022-2025) reveals a dominant focus on quantum dot control mechanisms, particularly using chirped pulses and magnetic fields for adiabatic rapid passage. Recurring themes include single-photon source optimization for quantum cryptography, photon-number-encoded entanglement, and spectral engineering of quantum emitters. His work consistently targets practical quantum technology applications while addressing fundamental coherence limitations. No scientific awards or fellowships were documented in available sources. His research is conducted within the quantum optics group led by Univ.-Prof. Hanns-Christoph Nägerl, likely supported by institutional and national funding frameworks typical for European quantum research initiatives. Remesh operates within the University of Innsbruck's Department of Experimental Physics, part of Austria's leading quantum research ecosystem. His work intersects with the institution's strengths in ultracold atoms and quantum simulation, contributing to experimental platforms for quantum information processing and quantum communication protocols.

David Graceمشاهده پروفایل

استاد

• Intelligent Networks
• Cognitive Radio
• Wireless Architecture Design
• +۶ مورد دیگر

Professor David Grace is a Research Professor at the University of York, leading the Communication Technologies Research Group and co-directing the York-Zhejiang Lab for Cognitive Radio and Green Communications. He holds additional roles as Head of the Communication Technologies Discovery Theme, Director of the Centre for High Altitude Platform Applications, and pillar lead for Advanced Communications at the Institute for Safe Autonomy. His expertise spans intelligent networks, cognitive radio, and non-terrestrial systems like High Altitude Platforms (HAPs). Grace has authored over 280 publications and two books, and led major projects including the FP6 CAPANINA initiative and EPSRC HiQ quantum communications research. Education: MEng (First Class) and DPhil from the University of York, with BT-sponsored placements. His research focuses on 6G architectures, AI-driven radio resource management, and green communications. Key projects include developing quantum key distribution via HAPs (HiQ project) and 5G trials in rural areas (MANY project). Research Interests: Application of AI to wireless networks, 6G system design, dynamic spectrum access, aerial platform-based communications, and cognitive networks. His work emphasizes energy-efficient solutions and regulatory policy for emerging technologies. Awards include WUN CogCom Best Paper Awards (2012-2013) and recognition for contributions to green communications. He has supervised over 40 PhD/MSc students and actively participates in international conferences as a speaker, reviewer, and organizer. External roles include Guest Professor at Zhejiang University and leadership in IEEE technical committees. Grants and collaborations include EPSRC funding (HiQ, Radio Networks ITwins), EU H2020 projects (SPOTLIGHT), and industry partnerships with Huawei. His lab activities focus on aerial platform networks, cell-free MIMO systems, and 5G/6G testbed development.

Ala'a Al-Habashnaمشاهده پروفایل

استاد مدعو

• Wireless Communication Networks
• 5G/6G Technologies
• Machine Learning Applications
• +۵ مورد دیگر

Ala'a Al-Habashna is an Adjunct Professor at Carleton University's School of Computer Science within the Faculty of Engineering and Design. He holds a PhD from Carleton University and focuses on advanced wireless communication systems, 5G/6G networks, machine learning applications, and discrete-event simulation. His research integrates AI-driven solutions for network optimization, spectrum management, and smart urban infrastructure analysis. Education: PhD in Computer Science, Carleton University Research Interests: 5G/6G Networks, Machine Learning for Communications, Cognitive Radio Systems, IoT Integration, and Urban Modeling via Computer Vision Focus on resource allocation algorithms, channel modeling, and AI-driven network architectures Key Article Trends: Recent work emphasizes AI integration in next-gen networks (e.g., RIS-assisted MIMO, GenAI-6G), 5G energy efficiency, and urban analytics using street-view imagery. Earlier contributions include DEVS-based simulation frameworks for fire modeling and D2D video streaming optimization. Collaborations & Funding: Active partnerships include Ericsson Canada for projects like Channel Reconstruction for LTE/NR and Spectrum Sharing with Machine Learning . A funded PhD position is available in Wireless Communication and 5G Networks requiring expertise in Mathematical Optimization. Labs & Teams: Engaged in Ericsson-Carleton Partnership initiatives and leads interdisciplinary teams addressing 6G challenges. Research leverages Carleton's advanced wireless and AI facilities.

• Antenna Engineering
• Electromagnetic Theory
• Microwave Engineering
• +۴ مورد دیگر

Lars Jonsson is a Professor at the Royal Institute of Technology (KTH), affiliated with the School of Electrical Engineering and the Division of Electromagnetic Engineering and Fusion Science . His work focuses on advanced antenna design, electromagnetic wave propagation, and optimization techniques for wireless systems. Array Antennas (FJI3325) - Examiner and Course Responsible Degree Project in Electrical Engineering (EA275X) - Examiner Electromagnetic Theory (EI1220, EI1228) - Examiner, Course Responsible, and Teacher Electromagnetic Wave Propagation (EI2420) - Examiner, Course Responsible, and Teacher Jonsson’s research explores antenna arrays , RF energy harvesting , and electromagnetic compatibility , with a focus on minimizing mutual coupling and maximizing efficiency in integrated systems. His recent publications emphasize Q-factor bounds , wideband antenna design , and convex optimization for array performance. His work bridges theoretical electromagnetics and practical implementation, including applications in IoT devices , 5G communication , and quantum systems . Jonsson has contributed to understanding fundamental physical limits of antennas and developing high-power rectennas for energy transfer. Doctoral Thesis: "Directional Decomposition in Anisotropic Heterogeneous Media for Acoustic and Electromagnetic Fields" (2001) Active participation in international conferences like EuCAP and ICEAA Key collaborations with researchers in antenna optimization , microwave engineering , and electromagnetic theory

Hamdi Joudehمشاهده پروفایل

دانشیار

• Information Theory
• Communications
• Signal Processing
• +۳ مورد دیگر

Hamdi Joudeh is an Associate Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). He is affiliated with the Information and Communication Theory (ICT) Lab and the Signal Processing Systems (SPS) Group. His research focuses on information theory, communications, and signal processing, with applications in wireless networks and radar systems. He holds a Ph.D. in Electrical Engineering from Imperial College London and has held research positions at Technische Universität Berlin and Imperial College London. His research interests include quantum sensing, error exponents, MIMO systems, and channel coding. He leads projects such as the IT-JCAS (Information Theoretic Foundations of Joint Communication and Sensing) and ANTERRA (Beam Prediction for Fast-Moving LEO), addressing challenges in 5G/6G communication and radar technologies. He has received an ERC Starting Grant (2023) for his work on environment-scanning mobile networks. Education: Ph.D. in Electrical Engineering (Imperial College London), M.Sc. in Communications and Signal Processing (Imperial College London) Editorial Roles: Editorial board member of IEEE Transactions on Signal Processing , IEEE Communications Letters , and EURASIP Journal on Wireless Communications and Networking Labs/Teams: ICT Lab, SPS Group, and leads projects at TU/e’s Center for Wireless Technology Grants: ERC Starting Grant, TKI-HTSM/22.0547/TKI2212P11 RAIDAR, and others His recent work explores the intersection of communication and sensing, including quantum radar processing and robust beamforming techniques. He has published extensively on topics like error exponents, MIMO channel analysis, and interference management, with over 40 peer-reviewed articles.

Joseph Soryalمشاهده پروفایل

دانشیار مدعو

• Cybersecurity
• Telecommunications
• Autonomous Systems
• +۷ مورد دیگر

Joseph Soryal is an Adjunct Associate Professor of Electrical Engineering at the City College of New York (CCNY) , part of the Grove School of Engineering . He holds additional affiliations with the Computer Science and Cybersecurity departments. His research focuses on advanced telecommunications, cybersecurity, autonomous systems, and wireless network innovations. Dr. Soryal's work spans cutting-edge topics such as secure virtual reality environments, autonomous vehicle communication protocols, and satellite-ground network integration. His recent publications emphasize solutions for network security in 5G/6G environments, AI-driven fraud detection, and infrastructure resilience against cyberattacks. Notable research includes developing adaptive beamforming techniques for signal propagation and secure cellular network architectures. His technical contributions address challenges in drone communication systems, holographic data transmission, and emergency response technologies. His work frequently intersects with emerging technologies like reconfigurable intelligent surfaces, smart city infrastructure, and hybrid network architectures for edge computing. While no specific awards or grants are listed, his publications indicate active collaboration with industry on real-world applications of cybersecurity and network optimization. He teaches advanced courses in telecommunications and cybersecurity at CCNY.

Li-C. Wangمشاهده پروفایل

استاد

• Artificial Intelligence for Design and Test
• Data Analysis
• Machine Learning
• +۴ مورد دیگر

Li-C. Wang is a Professor at the Department of Electrical and Computer Engineering, University of California, Santa Barbara, affiliated with the Robert Mehrabian College of Engineering. His research focuses on Artificial Intelligence for Design and Test, Data Analysis, and Machine Learning. Dr. Wang's work spans interdisciplinary domains including nanotechnology, biomedical engineering, and wireless networks. His recent publications highlight innovative approaches in: AI-driven design validation protocols Nanostructured biosensors for glucose detection Multi-RAT network interference analysis Advanced photonic waveguide systems Topological state manipulation in materials These works demonstrate his commitment to advancing engineering methodologies across multiple domains.