جست‌وجوی استاد و پژوهشگر

• Cloud Computing
• High Performance Computer Architectures
• Parallel and Distributed Processing
• +۳ مورد دیگر

Dr. Robert K. Chun is a Professor in the Department of Computer Science at San José State University (SJSU), part of the College of Engineering. He holds a BSEE (1979), MSCS (1981), and Ph.D. (1989) from UCLA. With 20+ years in industry, he joined SJSU as a full-time faculty in 2001. His research focuses on Cloud Computing, parallel processing, high-performance architectures, and AI. He received NASA Faculty Fellowships (2002-2003) and holds a U.S. patent for real-time expert systems integration. Education: Bachelor of Science, Electrical Engineering, UCLA (1979) Master of Science, Computer Science, UCLA (1981) Doctor of Philosophy, Computer Science, UCLA (1989) Research Interests: Cloud Computing architectures and scalability High-performance computing and parallel algorithms Software engineering for distributed systems CAD tools for VLSI design verification Artificial intelligence and neural networks Publications highlight advancements in parallel processing, distributed systems, and compiler optimization. Notable works include adaptive transactional memory algorithms, wireless cluster computing frameworks, and EJB performance measurement tools. His NASA-funded research at Ames Supercomputing Center explored parallel computing applications. Advising and Grants: Advised 16 Master’s theses, including topics like dynamic clusters and intelligent debuggers Contributed to industry-university partnerships through NASA collaborations Labs/Teams: Active in SJSU’s parallel processing and computer architecture research groups, contributing to course development in advanced parallel processing and operating systems.

• Drug Discovery
• Biosensors
• Implantable Medical Devices
• +۳ مورد دیگر

Andrea Cavalli is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with both the VPA-AVP-CP CECAM-GE unit and the School of Basic Sciences (SB) within the ISIC department (SB-CECAM). His research focuses on advanced biosensor technologies, implantable medical devices, and personalized medicine applications. He teaches a course on drug discovery, emphasizing computational methods for drug design and pharmacokinetics. Key research interests include nanotechnology-driven biosensors, biocompatible materials for implantable devices, and multiplexed detection systems for infectious diseases. Cavalli leads projects on in vivo validation of biochips for metabolic monitoring and integrates electrochemical sensors with circuit design for real-time diagnostics. His work spans from fundamental material science to clinical translation, with a focus on HIV/tuberculosis diagnostics and chronic disease management. PhD Student: Alessia Ghidini Lab: CECAM (European Center for Atomistic and Molecular Simulations) Key collaborations: Molecular diagnostics platforms, nanomaterials for bioelectronics Publications highlight innovations in nanoplasmonic biosensors, biocompatible packaging solutions, and CNT-based bioelectronics. Ongoing work explores remote patient monitoring systems and multipanel biosensors for personalized therapy optimization.

• Electrical Power Conversion
• Power Systems
• Power Electronics
• +۳ مورد دیگر

Professor Dan Rogers is an Associate Professor in the Department of Engineering Science at the University of Oxford, serving as Associate Head of Department (Infrastructure). He holds an MEng (2007) and PhD (2011) from Imperial College London's Electrical and Electronic Engineering and Control & Power Groups. Before joining Oxford in 2016, he was a Lecturer and Senior Lecturer at Cardiff University's CIREGS group. His research focuses on electrical power conversion, power systems, power electronics, energy storage, microgrids, and smart grids. He has contributed to projects like the Willenhall energy storage system, one of Europe's largest lithium titanate battery research initiatives. Rogers' work emphasizes practical applications, including grid-scale energy storage balancing, thermal modeling of power modules, and high-efficiency power electronics design. His recent research explores broadband powerline communication for microgrids, MILP-based carbon emission optimization, and compact cooling solutions for high-power systems. He has led collaborative projects such as the IMAD2025 event with the ZERO Institute ECR network and contributed to rural electrification projects in Zambia. His publications span topics from inverter topology optimization to magnetic neurostimulation systems, reflecting interdisciplinary engagement. While no specific awards are listed, his work demonstrates significant contributions to advancing grid resilience and sustainable energy technologies.

Yousef Al-Gumaeiمشاهده پروفایل

استادیار

• Wireless Communications
• Cybersecurity
• Machine Learning
• +۵ مورد دیگر

Yousef Al-Gumaei is an Assistant Professor and Course Leader of Computing at the Global College, Heriot-Watt University in Edinburgh, Scotland. Previously, he held roles including Lecturer in Electrical Engineering at Liverpool John Moores University (2021–2022), Postdoctoral Research Fellow at Northumbria University, and Senior Lecturer at Al-Madinah International University (2016–2019). He earned a Ph.D. in Electrical Engineering from the University of Malaya (2017), an M.Eng.Sc. (2010), and a B.Sc. in Electrical Engineering from IBB University, Yemen (2003). His research focuses on wireless communication systems, cybersecurity, machine learning applications, IoT networks, and 5G/6G technologies. Key areas include power control algorithms, DDoS attack detection, social media analytics for public health, and distributed data mining. He has contributed to advancements in sensor network optimization, metamaterial antennas for THz applications, and energy-efficient EV charging infrastructure. Al-Gumaei has authored or co-authored over 25 publications, including books and journal articles. His work aligns with UN Sustainable Development Goals, particularly in innovation and infrastructure (SDG 9) and industry, innovation, and infrastructure (SDG 9). He teaches courses in Computing and Physics at Heriot-Watt University.

• Electric Machines
• Power Electronics
• Sensorless Control
• +۳ مورد دیگر

Paolo Guglielmi is a Full Professor at the Department of Energy (DENERG) of the Polytechnic University of Turin. His research focuses on electric machines, power electronics, sensorless control, and wireless power transfer, with an emphasis on sustainable energy systems and electric vehicle technologies. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and has held visiting researcher roles at institutions like École Nationale Supérieure d'Électronique (ENSEEIHT), France. Teaching: Courses in electrical engineering, electric vehicles, and machine design at undergraduate and graduate levels. Research Projects: Leads initiatives like NODES (Industry 4.0 for Sustainable Mobility) and COOL-X (Integrated Electric Drive Cooling), funded by PNRR Mission 4 and EU H2020 programs. Awards: Recipient of IEEE Industrial Power Conversion Systems Department Paper Prize (2010) and IDC Prize Paper (2011). Patents: Holder of patents including '3D Power Conversion' and 'Integrated Electric Drive with Cooling Device'. His work integrates power electronics with electromechanical systems to develop compact, reliable, and cost-effective solutions for electric drives and energy conversion, with applications in sustainable mobility and aerospace.

Jay Chenمشاهده پروفایل

استادیار

• ICT for Development
• Human-Computer Interaction
• Pluralistic Networked Systems
• +۲ مورد دیگر

Jay Chen is Research Assistant Professor at NYU Tandon School of Engineering and Co-Director of the Design Technology Lab. His research develops information and communication technologies for underserved populations, focusing on voice-based systems, privacy in shared device contexts, and pluralistic network architectures. Key contributions include: Karamad voice-based crowdsourcing platform for low-literacy users Studies of mobile privacy in Bangladesh and India Stencil pluralistic cloud architecture Publications demonstrate 50% focus on Global South technologies, 30% on network architectures, and 20% on sustainable computing. Recent work examines financial networks, game theory representations, and resilient connectivity solutions.

Masoumeh Ebrahimiمشاهده پروفایل

دانشیار

• Computer Architecture
• Machine Learning
• Embedded Systems
• +۶ مورد دیگر

Masoumeh Ebrahimi is an Associate Professor at KTH Royal Institute of Technology, Division of Electronics and Embedded Systems, and holds an Adjunct Professor position at the University of Turku, Finland. She leads research in hardware acceleration, neural architecture search, and fault-tolerant systems. Her work bridges machine learning, embedded systems, and network-on-chip (NoC) design. Research Interests: Hardware-Accelerated Machine Learning 6G Network Architectures Fault-Tolerant Computing High-Performance GPU Systems Network-on-Chip (NoC) Design Federated Learning Key Projects: Co-supervisor of Hui Chen’s postdoc project Generalizing hardware acceleration for nonlinear functions . Active in Digital Futures, a cross-disciplinary center focusing on societal challenges using digital tech. Collaborates on edge computing, 6G networks, and resilient embedded systems. Labs & Teams: Core member of KTH’s Digital Futures initiative, advancing AI accelerators and next-gen communication systems. Engaged in EU-funded projects on NoC reliability and federated learning frameworks.

Theodore S. Rappaportمشاهده پروفایل

استاد

• Wireless Communications
• 5G/6G Networks
• Millimeter Wave and Terahertz Technology
• +۵ مورد دیگر

Theodore (Ted) S. Rappaport is the David Lee/Ernst Weber Professor of Electrical Engineering at NYU Tandon School of Engineering, a Professor of Computer Science at NYU Courant Institute, and a Professor of Radiology at NYU School of Medicine. He is the Founding Director of NYU WIRELESS, a pioneering research center integrating engineering, computer science, and medicine. Education: Rappaport earned BS, MS, and Ph.D. degrees in Electrical Engineering from Purdue University. He holds honorary titles such as Distinguished Engineering Alumnus (Purdue), Neal Armstrong Distinguished Visiting Professor (Purdue), and Hagler Fellow (Texas A&M). Research Interests: His work focuses on millimeter-wave and terahertz communications, 5G/6G networks, antenna design, and channel modeling. He pioneered site-specific RF channel modeling for wireless networks and led the adoption of millimeter-wave spectrum for 5G. Research Contributions: NYU WIRELESS developed NYUSIM, an open-source channel simulator widely used in industry. His teams produced over 100 patents and 24 books, including bestsellers on wireless systems. Recent work emphasizes 6G spatial statistical models and energy-efficient network design. Awards: Recognized as a top-cited researcher globally, he was inducted into the IEEE Vehicular Technology Society Hall of Fame and received the RF Industry Icon Award. Labs/Teams: NYU WIRELESS leads 6G research, with labs exploring terahertz frequencies and AI-driven interference cancellation. Collaborations include NSF-funded projects on sub-THz industrial networks. Grants/Industry Impact: Research funded by NSF, DoD, and telecom firms. Founded Wireless Valley (acquired by Motorola) and TSR Technologies (acquired by CommScope), pioneering commercial wireless tools.

Jaime Llorcaمشاهده پروفایل

استاد پژوهشی

• Network Algorithms
• Network Optimization
• Distributed Control
• +۵ مورد دیگر

Jaime Llorca is a Research Professor at the New York University (NYU) Tandon School of Engineering's Electrical and Computer Engineering Department. He holds affiliations with NYU WIRELESS, a research center focused on 6G and beyond. His work bridges network algorithms, optimization, and distributed control with applications in edge computing, cloud networks, and content delivery. Prior roles include Senior Research Scientist at Nokia Bell Labs and positions at Alcatel-Lucent Bell Labs and the University of Maryland's Center for Networking of Infrastructure Sensors. Education: M.S. and Ph.D. in Electrical and Computer Engineering from the University of Maryland, College Park (MD). Research Focus: Llorca pioneers advancements in network-coded caching, distributed cloud control, and edge-cloud integration. Notable contributions include 'cache-aided coded multicasting' and 'cloud-network flow' frameworks. His work addresses latency constraints, resource allocation, and service orchestration in next-generation networks. Key Achievements: Over 100 peer-reviewed publications and 20 patents. Awarded the 2007 IEEE Sensors Best Paper Award, 2016 IEEE ICC Best Paper Award, and the 2015 Jimmy H.C. Lin Award for Innovation. Co-developed foundational technologies for content delivery and distributed cloud networks. Advising & Grants: Advises on distributed computing networks and edge-cloud systems. His research is supported by grants focused on 6G, network optimization, and IoT integration. Collaborates closely with NYU WIRELESS on projects like the Vineyard Digital Twin initiative leveraging UAV imaging. Labs & Teams: Active member of NYU WIRELESS, advancing 6G, mmWave/terahertz networks, and cross-layer network programmability. Leads teams exploring morphable networks and end-to-end service orchestration.

Jenny Zhouمشاهده پروفایل

مدرس ارشد

• Indoor Environmental Quality
• Life Cycle Analysis
• Climate Change Impacts
• +۶ مورد دیگر

Dr. Jenny Zhou is a Senior Lecturer in Civil and Environmental Engineering at Monash University, affiliated with the Monash Energy Institute and Monash Art, Design, and Architecture. She holds a PhD from Nanyang Technological University (NTU) and conducted postdoctoral research at the Berkeley Education Alliance for Research in Singapore (BEARS) and the University of Melbourne's Faculty of Architecture, Building, and Planning. Her research focuses on occupant-centric and resource-responsive built environments, addressing interactions between buildings, humans, and the natural environment. Key areas include indoor environmental quality, lifecycle analysis, and sustainable urban infrastructure. Education: B.Eng and M.Eng (Environmental Engineering, Harbin Institute of Technology); M.Sc (Human Computer Interaction, NTU); PhD (Environmental Engineering, NTU). Research Interests: Indoor air quality, climate change impacts on buildings, wireless sensing networks, energy-efficient building standards (e.g., Passivhaus), bioaerosol fate, and renewable energy integration. She leads projects such as the 'Improvement of School Indoor Air Quality' and contributes to initiatives like the Building 4.0 CRC. Scientific Recognition: Recipient of the Green Talents Award (Germany) and a fellowship from the Lloyd's Register Foundation. Collaborates internationally via the IEA EBC Annex 79 (Occupant-Centric Building Design) and other networks. Teaching: Courses include ENE2021 (Energy and the Environment) and ENE3031 (Building Sustainability). Supervises PhD students exploring interdisciplinary topics in sustainable built environments. Labs/Teams: Leads the Nature, Urban, and Human (NUH) Lab, advancing data-driven research in building performance and environmental health.

Mauro Prevostiniمشاهده پروفایل

مدرس

• Wireless Sensor Networks
• Precision Agriculture
• Embedded Systems
• +۴ مورد دیگر

Mauro Prevostini is the Program Manager of the Faculty of Informatics at the Università della Svizzera italiana (USI) since 2004 and holds the academic rank of Lecturer. He previously managed the creation of the Faculty of Informatics from 2001 to 2004 and has been a staff member of the ALaRI institute until 2018. His roles include coordinating academic-industry collaborations and promoting computer science education in local schools. Education: MSc in Electrical Engineering (ETH Zürich, 1994), Thesis: "On-Line Recognition of Masticatory Muscles Activity with Long-Time EMG Recorder" Secondary Education: Liceo Cantonale Lugano 1 (1984–1988) Research Interests: Focuses on Wireless Sensor Networks applied to Precision Agriculture, particularly in pest monitoring systems like PreDiVine DSS. His work integrates UML-based design methodologies for embedded systems and cyber-physical systems. Collaborations include ALaRI and Agroscope research center. Academic Contributions: Over 15 key publications from 2003–2022 emphasize system-level design, hardware/software co-design, and sensor network optimization. Recent articles address deep learning strategies for pest detection and adaptive decision support systems. Professional Activities: Co-founder of Dolphin Engineering Sagl (2012–present), a Precision Agriculture startup Member of the academic senate (2017–2019; 2023–present) Former coordinator of the Ticino branch for the informatica08 initiative (2008) Labs & Projects: Leads projects on wireless sensor networks for agricultural monitoring and collaborates with ALaRI on embedded system design tools and methodologies.

• Artificial Intelligence
• Wireless Communications
• Machine Learning
• +۵ مورد دیگر

Giovanni Geraci is a Tenured Professor at the Department of Information and Communications Technologies, Universitat Pompeu Fabra. Specializing in applying AI/ML to wireless communications, he focuses on GenAI for data augmentation and LLMs for telecom applications. His expertise spans 5G/6G cellular and Wi-Fi (IEEE 802.11be/bn) technologies, informed by roles at Nokia Standards, Telefónica, and Bell Labs. He holds the IEEE Communications Theory Early Achievement Award (2023) and the IEEE Outstanding Young Researcher Award (2018). Research interests include AI-driven network design, UAV communications, and next-generation wireless standards. He has authored over 100 publications, including Best Paper Awards at IEEE ICC (2025), Globecom (2022), and PIMRC (2019). Geraci has led academic roles like Head of Telecommunications Engineering and is an IEEE Distinguished Lecturer, delivering over 100 keynotes globally. He created the IEEE course 'Fundamentals of Wi-Fi' and teaches Signals and Systems, praised for his 'fantastic, passionate, and supportive' teaching style. Geraci’s work bridges academia and industry, addressing challenges in cellular networks for UAV corridors, millimeter-wave channel modeling, and integrated terrestrial/non-terrestrial networks. His recent research explores AI/ML applications for 6G, Wi-Fi 7/8, and data-driven optimization of telecom infrastructure.

• Wavelets
• Frames
• Operator Theory
• +۳ مورد دیگر

David Larson is a Professor at Texas A&M University, affiliated with the Department of Mathematics within the College of Arts & Sciences. His research focuses on Wavelets, Frames, Operator Theory, and Linear Analysis. He earned his Ph.D. from the University of California in 1976, preceded by an M.A. (1973) and B.S. (1965) from University of California and Wisconsin State University, respectively. His work emphasizes structural properties of operator-valued systems, dilation theory, and applications to signal processing. Key contributions include advancements in frame theory, quantum measure dilations, and mathematical foundations of wireless networks. Recent publications (2014–2025) explore hyperinvariant subspaces, erasure recovery matrices, and bridging techniques for signal reconstruction. Larson’s research spans pure and applied mathematics, integrating abstract operator theory with real-world applications in telecommunications and engineering. No scientific awards are explicitly listed, though his prolific publication record reflects sustained academic impact.

Costas N. Georghiadesمشاهده پروفایل

استاد

• Statistical Communication Theory
• Wireless Communications
• Optical Communication Systems
• +۷ مورد دیگر

Costas N. Georghiades is a Professor and Delbert A. Whitaker Chair in the Department of Electrical & Computer Engineering at Texas A&M University. He has held leadership roles including Interim Vice President for Research, Interim Department Head, and Associate Dean for Research in the College of Engineering. His research focuses on statistical communication theory, wireless communication systems, and receiver design. Education: D.Sc., Electrical Engineering, Washington University (1985) M.S., Electrical Engineering, Washington University (1983) B.E., Electrical Engineering, American University of Beirut (1980) Research Interests: His work spans fading channels, space-time coding, distributed source coding, interference rejection techniques, and optical communication systems . He emphasizes applications of information theory to practical communication challenges, including synchronization and equalization in wireless environments. Publications & Trends: Recent articles address advanced topics like faster-than-Nyquist signaling, unsourced random access in MIMO systems, and visible light communication design. His work often bridges theoretical insights with practical implementation challenges in wireless and optical domains. Awards & Recognition: IEEE Fellow (2002) 2012 IEEE Communication Theory Technical Committee Service Award Multiple endowed professorships including the Delbert A. Whitaker Chair Advising & Grants: He has advised over 50 graduate students, many contributing to foundational research in CDMA systems, MIMO detection, and network coding. His grants include support for projects on cognitive radio, OFDM systems, and secure communication protocols. Labs & Collaborations: Active in Texas A&M's Global Cyber Research Institute (GCRI) and affiliated with the Multidisciplinary Engineering program. Collaborates on initiatives like the IEEE Information Theory Society and Hamming Medal Committee.

Bisma Manzoorمشاهده پروفایل

پژوهشگر ارشد

• Wireless Communication
• Satellite Communication
• IoT Technologies
• +۳ مورد دیگر

Dr. Bisma Manzoor is a Research Fellow (Postdoctoral) in the School of Engineering at RMIT University, specializing in wireless communication, satellite systems, and IoT technologies. She holds a PhD from RMIT (2021) and has dual experience in academia and industry, including a role as a Digital Signal Processing Engineer at Fleet Space Technologies. Her research focuses on enhancing IoT connectivity via satellite networks and machine learning applications in spectrum sensing. She has taught advanced engineering courses like Network Engineering and Research Methods, receiving awards for both teaching and research excellence. Research interests include satellite communication, signal processing, and energy-efficient IoT systems. She contributes to UN Sustainable Development Goals related to sustainable cities, industry innovation, and gender equality. Currently supervising projects on microwave vacuum electron devices, nanoscale electronics for satellites, and next-generation mega satellite networks.