جست‌وجوی استاد و پژوهشگر

Alexis Dowhuszkoمشاهده پروفایل

پژوهشگر

• Visible Light Communication
• Wireless Communications
• 6G Networks
• +۶ مورد دیگر

Alexis Dowhuszko is a Researcher in the Department of Information and Communications Engineering at Aalto University, Espoo, Finland. Current research focuses on 6G networks, optical wireless communications, and mobile network optimization through active participation in EU-funded projects including FOCAL (as Principal Investigator), 6G-LEADER, 6GARROW, Cloudify-6G, and WALLPAPER. Educational background: Doctor of Engineering Sciences, Argentine university, 2010 Research expertise spans Visible Light Communication, 6G Networks, and Internet of Things, addressing critical challenges in Quality of Service, Integrated Access and Backhaul, and mmWave communications for urban environments. Work contributes to UN Sustainable Development Goals through sustainable wireless technology development. 2025 publications reveal strong trends in optical wireless integration for backhauling, AI-driven network optimization, and QoE-centric resource management. Key themes include IAB relaying strategies, experimental VLC implementations, and performance evaluation in dense urban deployments across next-generation mobile networks. Dowhuszko has supervised 4 theses and leads multiple research initiatives: FOCAL: Free-space Optical Communications for 6G Aerial-satellite networks (2024-2028) 6G-LEADER: LEArning-Driven and Evolved Radio for 6G Communication Systems (2025-2027) 6GARROW: 6G Ai-native integRated Ran-cOre netWorks (2025-2027) Cloudify-6G: 6G Data-driven Distributed Cloud and Communication System (2023-2026) WALLPAPER: Intelligent wallpaper for sustainable wireless systems (2023-2025) As a core member of the Risto Wichman Group, Dowhuszko collaborates on cutting-edge 6G research and contributes to media-featured projects including LED-based indoor navigation systems and personal radar development.

Wim Korevaarمشاهده پروفایل

پژوهشگر

• Optical Satellite Communications
• Quantum Communications
• Signal Processing
• +۲ مورد دیگر

Dr. Wim Korevaar serves as a part-time university researcher at the Signal Processing Systems (SPS) Group of Eindhoven University of Technology (TU/e), while concurrently working as a Senior Telecommunications System Engineer at TNO (Dutch Applied Research Institute) in Delft since April 2019. At TNO, he designs optical and quantum satellite communication systems for ground-to-satellite and satellite-to-satellite links, contributing to standardization efforts at CCSDS and ESA. He earned his PhD, cum laude, from Eindhoven University of Technology for pioneering work on Hermite-based multi-user communication schemes as an alternative to Fourier-based systems. During his doctoral studies, he founded two companies subsequently acquired in 2007 and 2019. Dr. Korevaar's research centers on optical satellite communications, quantum communications, and signal processing for telecommunications, with specific expertise in end-to-end system performance analysis, modem design, and signal processing techniques for space-based systems. His work actively bridges academic research and industrial applications through collaborations between universities, research institutes, and private sector partners. Analysis of his 2022-2024 publications reveals a concentrated focus on advancing space communication technologies, particularly in channel modeling under atmospheric turbulence, latency-constrained fading mitigation, end-to-end performance of coherent optical feeder links, and high-speed channel coding architectures. These contributions target robust high-capacity systems for next-generation satellite networks with dual-use government and commercial applications. He currently participates in the LaiQa project (2024-2026) advancing quantum key distribution space components, and maintains active engagement with students on groundbreaking communication system innovations despite no formal advisee listings.

• Solid-State Electronics
• Microfluidics
• Flexible Electronics
• +۷ مورد دیگر

Professor Arokia Nathan is affiliated with the Department of Engineering at the University of Cambridge , where he holds the Chair in Photonic Systems and Displays. His work bridges semiconductor device engineering, flexible electronics, and intelligent systems. Specializes in Thin-Film Transistors (TFTs) for displays and sensors Key contributions to digital microfluidics and neuromorphic computing Focus on ultra-low-power and high-frequency CMOS circuits Advances in oxide semiconductor materials and hybrid electronics Recent publications highlight trends in neuromorphic perception , flexible battery technologies , and RF/wireless communication systems . His research also emphasizes bioinspired robotics , wearable electronics , and intelligent IoT devices .

Jiazhen Zhouمشاهده پروفایل

دانشیار

• Internet of Things Security
• Internet of Things Privacy
• Cryptography
• +۲ مورد دیگر

Jiazhen Zhou is an Associate Professor and Chair of the Department of Computer Science at the University of Wisconsin-Whitewater. His research focuses on Internet of Things security and privacy, cryptography, machine learning-based attack and defense mechanisms, and emergency communications. He teaches courses in cybersecurity and computer networking including CYBER 101, COMPSCI 354, and COMPSCI 455. His educational background includes: Ph.D. in Computer Science from the University of Missouri–Kansas City, USA M.S. in Intelligent Control Engineering from Chinese Academy of Sciences–Shenyang Institute of Automation, P. R. China B.S. in Mathematics from Shandong University, P. R. China Dr. Zhou's research centers on IoT security vulnerabilities in medical devices, cryptographic solutions for privacy protection, and machine learning applications for attack detection. His emergency communications work develops caching strategies for stressed networks during disasters, with recent emphasis on protecting older adults using smart medical devices. The Wireless Systems Lab he founded in 2012 serves as the primary research hub for these investigations. His publication record spans 14 years with 11 significant works, showing an evolution from fundamental networking research (2009-2013) toward applied IoT security (2016-2023). Recent publications demonstrate increasing focus on healthcare applications and privacy concerns for vulnerable populations, particularly in his 2023 HIMSS conference paper on medical devices for older adults. Scientific recognition includes: Grant writing fellowship ($5,000) in 2013 Summer research fellowship advisor awards ($2,500 each) in 2016, 2018, and 2019 Dr. Zhou has supervised over 30 undergraduate researchers and three graduate students through the Wireless Systems Lab, producing journal publications, conference posters, and educational demonstrations. His secured funding includes a $105,757 Tommy Thompson Center grant for IoT privacy in older adults (2021-2022), a $50,000 UW System Regent Scholar grant for wireless vehicle communications (2021-2022), and a $2 million U.S. Department of Labor Cybersecurity Apprenticeship grant (2020-2024). The Wireless Systems Lab, established in 2012, conducts hands-on research in medical IoT security, emergency communication protocols, and real-time monitoring systems. Current projects include security attacks on medical IoT devices with Jesse Ostrander and Jackson Richman, while past work has resulted in classroom demonstrations for K-12 students and novel cache deployment solutions for disaster scenarios.

• Sensor Networks
• Pervasive Computing
• Middleware
• +۵ مورد دیگر

Sanem Kabadayı is an Assistant Professor at the Department of Computer Engineering, Istanbul Technical University. Her research focuses on sensor networks, middleware frameworks, and pervasive computing. Research Interests Sensor Networks (Wireless, Ad-hoc, Heterogeneous) Pervasive and Ubiquitous Computing Middleware Design for Smart Environments Data Abstraction and Communication Paradigms Advisory Role Advisor for Yakup Kayatas' thesis on AI-assisted IoT agents for smart spaces (2025). Recent Research Trends Her 15 most recent publications (2006–2024) emphasize sensor network architectures, middleware innovations for programmable environments, and abstractions for heterogeneous sensor integration. Key themes include AI-driven IoT agents, positioning techniques in wireless networks, and virtual sensor frameworks.

Samarjit Chakrabortyمشاهده پروفایل

استاد

• Distributed Embedded Systems
• Hardware/Software Co-design
• Embedded Control Systems
• +۹ مورد دیگر

Samarjit Chakraborty is the William R. Kenan, Jr. Distinguished Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He previously held the Chair of Real-Time Computer Systems at the Technical University of Munich (2008–2019) and was an assistant professor at the National University of Singapore (2003–2008). His research spans real-time embedded systems, cyber-physical systems (CPS), and automotive security. Research Interests include distributed embedded systems, hardware/software co-design, low-power systems, energy storage, electromobility, and sensor network-based information processing. His work addresses challenges in scheduling algorithms for autonomous vehicles, timing predictability in automotive networks, and safety-critical controller implementations. Recent Publications highlight advancements in Timing analysis for automotive networks Energy modeling of Bluetooth Low Energy Autonomous vehicle perception computing Security in automotive systems Flexible manufacturing with process dynamics Scientific Awards include the ETH Medal, European DAAD Outstanding Doctoral Dissertation Award, multiple best paper awards at conferences (ISLPED, ICCD, RTCSA, etc.), the 2023 Humboldt Professorship, and IEEE Fellowship. Advising active PhD students: Clara Hobbs, Shengjie Xu, Sharmin Aktar, and postdoc Enrico Fraccaroli. His research is supported by NSF grants and industry partnerships with General Motors, Intel, Google, BMW, Audi, Siemens, and Bosch.

• Autonomous Industrial Vehicles
• Multi-Agent Systems
• Fuzzy Logic
• +۷ مورد دیگر

Jean-Marie Bonnin is a Researcher at IMT Atlantique , affiliated with the Network Systems, Cyber Security and Digital Law department. His work spans autonomous industrial vehicles, vehicular networks, and cooperative systems, with a focus on energy management, task allocation, and safety protocols. IMT Atlantique, Rennes Campus Research in Industry 4.0 and Smart Mobility Research Interests : Autonomous Industrial Vehicle Fleets Fuzzy Logic for Multi-Agent Systems V2X Communication Protocols Scientific Contributions include: Modeling energy consumption in extreme-edge IoT nodes Decentralized task allocation for autonomous vehicles Collision avoidance in industrial environments

Eve M. Schoolerمشاهده پروفایل

استاد مهمان

• Networking
• Distributed Systems
• Sustainable Computing
• +۷ مورد دیگر

Dr. Eve M. Schooler is a Visiting Professor of Sustainable Computing at the University of Oxford , sponsored by the Royal Academy of Engineering. She is an IEEE Fellow and co-recipient of the IEEE Internet Award (2020), with expertise in Networking , Distributed Systems , and Carbon-aware Networking . Her work bridges industry-academia partnerships, focusing on edge-cloud infrastructure and AI for cybersecurity . BS, MS, PhD in Computer Science (Yale, UCLA, Caltech) Board of Directors, Computing Research Association (US) Advisory Council, University of Delaware College of Engineering Her research spans IoT security , smart grids , reverse CDNs , and data-centric networking . She co-founded the IETF's SUSTAIN research group on sustainability and chairs standards initiatives in fog computing and open footprints. Recent trends in her publications include carbon-aware networking , edge-cloud convergence , and AI-driven cybersecurity , with over 100 papers and 35 patents. IEEE Fellow (2021) IEEE Internet Award (2020) N2Women Stars in Networking (2023) Dr. Schooler champions STEM outreach , serving organizations like Grace Hopper Conference and Sally Ride Science. She leads industry-academia collaborations through projects like EU H2020 SPATIAL and NSF-Intel ICN-WEN.

• Electromagnetics
• Photonics
• Metamaterials
• +۳ مورد دیگر

Mohammadmahdi Asgari is a Doctoral Researcher at Aalto University's Department of Electronics and Nanoengineering. His research focuses on advanced electromagnetic and photonic materials, particularly metasurfaces , metamaterials , and photonic time crystals . His work explores applications in wireless communication enhancement, inverse topology design for multifunctional surfaces, and non-reciprocal optical phenomena. Key research themes include: Wave propagation control Spontaneous magnetization effects Space-time modulated materials Passive metacrystal systems Publications reveal a concentration on both theoretical frameworks and practical implementations in electromagnetic and optical engineering. Asgari collaborates with prominent researchers including Shanhui Fan and Viktar Asadchy.

Ahmad Lotfiمشاهده پروفایل

استاد

• Computational Intelligence
• Ambient Intelligence
• Robotics
• +۷ مورد دیگر

Ahmad Lotfi is a Professor of Computational Intelligence and Head of Department of Computer Science at Nottingham Trent University , with a Visiting Professor role at Tokyo Metropolitan University . He leads the Computational Intelligence and Applications (CIA) research group and has supervised over 30 PhD students to completion. PhD in Learning Fuzzy Systems (University of Queensland, 1995) MTech in Control Systems (Indian Institute of Technology, India) BSc in Control Systems (Isfahan University of Technology, Iran) His research spans computational intelligence , ambient intelligence , robotics , and machine learning , with applications in dementia monitoring , smart environments , and healthcare technology . Recent work focuses on using thermal sensor arrays for privacy-preserving human activity analysis. He has secured funding from Innovate UK , EPSRC , The Royal Society , and Horizon 2020 , with projects like iCarer (assistive living), SmartBerry (agricultural AI), and BigSpark (financial data augmentation). His 15 most recent articles demonstrate expertise in Wi-Fi-based activity recognition , EEG fall detection , and thermal sensor fusion . Senior Member IEEE Member of British Computer Society (MBCS) Editorial roles in Soft Computing and Journal of Ambient Intelligence and Smart Environments He has served as Program Chair for conferences like PETRA and ICCRT , and as Keynote Speaker at PETRA 2023 . His 28+ years of academic leadership include organizing UKCI and UKRAS conferences.

• High-dimensional probability theory
• Data Science
• Machine Learning
• +۵ مورد دیگر

Sjoerd Dirksen is a Professor of Mathematics for Data Sciences at Utrecht University since May 2025, having previously served as an Associate Professor for Applied Mathematics (2019-2025) and Junior Professor at RWTH Aachen University (2014-2019). He is affiliated with the Mathematical Institute within the Faculty of Science at Utrecht University, where his office is located in the Hans Freudenthal Building. His research interests focus on high-dimensional probability theory and its applications in data science, machine learning, and signal processing. Specifically, he investigates randomized data dimension reduction methods using structured random matrices, theory for deep learning including random neural networks, high-dimensional covariance estimation for wireless communication systems, and statistical postprocessing of weather forecasts in collaboration with the Royal Netherlands Meteorological Institute (KNMI). Previously, he worked on compressed sensing, sharp estimates for stochastic processes in Banach spaces, and noncommutative analysis. Analysis of his recent publications (2018-2024) reveals a strong focus on quantization effects in high-dimensional data processing, particularly one-bit compressed sensing and covariance estimation under coarse quantization. His work bridges theoretical mathematics with practical applications in signal processing, wireless communications, and meteorological forecasting, demonstrating a consistent trajectory from foundational mathematical research to applied data science problems. Dirksen's academic career shows progression from postdoctoral work at the Hausdorff Center for Mathematics in Bonn to independent research positions. His publication record demonstrates significant contributions to the mathematics of data science, with papers appearing in top journals across mathematics, statistics, and signal processing. His research combines deep theoretical insights with practical applications, particularly in the areas of dimensionality reduction and high-dimensional statistics.

Mahbubur Rahmanمشاهده پروفایل

استادیار

• Internet of Things (IoT)
• Cyber-Physical Systems (CPS)
• Wireless Networks and Communication
• +۳ مورد دیگر

Mahbubur Rahman is an Assistant Professor in the Department of Computer Science at Queens College and the Graduate Center, City University of New York (CUNY). He earned his PhD in Computer Science from Wayne State University in 2020 and a BSc in Computer Science & Engineering from Bangladesh University of Engineering and Technology in 2012.

Stylianos P. Tsitsosمشاهده پروفایل

استاد

• Wireless Radiocommunications
• Microwave Engineering
• Telecommunication Networks
• +۲ مورد دیگر

Professor Stylianos P. Tsitsos is a distinguished academic at the Technological Educational Institute of Serres, Greece, where he serves in the Department of Informatics and Communications within the School of Technological Applications. With a career spanning over two decades in academia and industry, he has established himself as an expert in microwave engineering and telecommunications. His educational background includes a first-class Honors degree in Electrical Engineering from Democritus University of Thrace (1989), a Master's in Telecommunications and Digital Electronics from UMIST, UK (1991), and a PhD in Microwave Engineering from UMIST (1994). His research interests focus on Wireless Radiocommunications, Microwave Engineering, Telecommunication Networks, Numerical Methods in Microwave Devices, and Telecommunications Systems Simulation. Professor Tsitsos' publication record demonstrates consistent contributions to microwave filter design and analysis, with particular emphasis on ceramic monoblock filters for PCS and UMTS mobile communication systems. His work shows a progression from fundamental electromagnetic analysis techniques to practical filter design applications, reflecting both theoretical depth and engineering relevance in the telecommunications field. As a dedicated researcher, he has led multiple significant projects including the ARCHIMEDES II program focused on developing new methods for microwave filter analysis and design, and has collaborated with international organizations including TDK Corporation (Japan) and EPSRC (UK). Throughout his academic career, Professor Tsitsos has held significant administrative responsibilities, serving as Department Head from 2006-2010 and as Acting Director of the School of Technological Applications from 2009-2010, demonstrating his commitment to educational leadership alongside his research activities.

Saibal Mukhopadhyayمشاهده پروفایل

استاد

• VLSI Systems
• Nanotechnology
• Low-Power Electronics
• +۵ مورد دیگر

Dr. Saibal Mukhopadhyay is a Professor in the Department of Electrical and Computer Engineering at the Georgia Institute of Technology, where he joined in 2007. He holds the Joseph M. Pettit Professorship and is recognized as an IEEE Fellow for his contributions to low-power and reliable VLSI systems. Education: BEng (Jadavpur University, India), Ph.D. (Purdue University) Labs: Gigascale Reliable Energy Efficient Nanosystem (GREEN) Lab His research focuses on VLSI Systems , Nanotechnology , and Low-Power Electronics , with emphasis on technology-circuit co-design for energy-efficient computing. Recent work explores Compute-in-Memory (CIM) architectures and Spiking Neural Networks for edge AI. Key article themes include Transformer Model Acceleration , Quantum Computing Calibration , 3D Object Detection , and Device Aging Analysis , reflecting his interdisciplinary approach bridging hardware design and machine learning. Scientific Awards IEEE Fellow (2018) ONR Young Investigator (2012) NSF CAREER Award (2011) IBM Faculty Awards (2009, 2010) Best Paper Awards (IEEE-Nano 2003, ICCD 2004)

Fendy Santosoمشاهده پروفایل

عضو هیئت علمی

• cyber-physical systems
• cybersecurity
• artificial intelligence
• +۶ مورد دیگر

Dr. Fendy Santoso is a Visiting Fellow at UNSW Canberra's School of Engineering and Information Technology, where he conducts cutting-edge research at the intersection of cyber-physical systems, cybersecurity, and artificial intelligence. His work focuses on developing robust security mechanisms for autonomous systems, particularly UAVs and robotics operating in adversarial environments. His educational background includes a PhD in Electrical Engineering from UNSW Sydney and a Master of Engineering (Electrical and Computer Systems) from Monash University. Dr. Santoso's research interests span cyber-physical systems security, adversarial machine learning, trustworthy autonomy, and AI-driven cybersecurity for autonomous platforms. His work specifically targets penetration-resistant architectures and secure decision-making frameworks for UAVs and robotic systems operating in dynamic, threat-prone environments. His approach integrates advanced fuzzy logic systems with deep learning techniques to create resilient control mechanisms that can withstand cyberattacks and operational uncertainties. Analysis of his recent publications reveals a consistent focus on applying type-2 fuzzy systems, deep learning, and negative imaginary control theory to solve critical challenges in autonomous systems security and control. His work demonstrates strong interdisciplinary connections between cybersecurity, control theory, and artificial intelligence, with particular emphasis on real-world implementation and experimental validation. Distinguished Early Career Travel Fellowship 2019, University of Wollongong ARC Linkage Project: Robust Defenses Against Adversarial Machine Learning for UAV Systems (2023) CSIRO Next Generation Grant for AgriTwins: Bridging Cyber-Secure Emerging Technologies and Data-Centric Twin Tech for Resilient Agriculture of the Future (2024) Dr. Santoso has secured over AUD 3 million in competitive research funding from prestigious sources including the Australian Research Council, U.S. Army Ground Vehicle Systems Centre, and Defence Science and Technology Group. He leads multi-disciplinary research teams and maintains strategic partnerships with defense and government agencies to translate theoretical advances into practical cybersecurity frameworks. His laboratory work centers around the Autonomous System Laboratory at UNSW Canberra, where he conducts experimental validation of security protocols for military ground robots and UAVs under realistic cyberattack scenarios.