جست‌وجوی استاد و پژوهشگر

Faheem Ahmadمشاهده پروفایل

پژوهشگر ارشد

• Power Electronics
• Industrial Heating
• Wide Bandgap Semiconductors
• +۳ مورد دیگر

Faheem Ahmad is a Research Fellow at AAU Energy, Aalborg University, specializing in power electronics and industrial heating applications. He holds a PhD in Power Electronics from Aalborg University (2023), an M.Sc. in Energy Engineering (2020), and a B.Sc. in Electrical Engineering (2014) from Delhi Technological University. His research focuses on high-frequency converter topologies, resonant converters, and wide bandgap semiconductors, particularly for industrial heating systems. He has contributed to projects like GreenHeat (2023–2026) and RFheat (2020–2021), addressing energy-efficient RF generators and curing technologies. Education: PhD in Power Electronics, Aalborg University (2021–2023) M.Sc. in Energy Engineering, Aalborg University (2018–2020) B.Sc. in Electrical Engineering, Delhi Technological University (2010–2014) Research Interests: His work emphasizes advancing power electronics for industrial applications, including high-frequency converters and semiconductor integration in dielectric heating systems. He explores RF-based solutions for energy efficiency and modernizing industrial heating processes. Projects: GreenHeat : Developing energy-efficient RF generators for industrial heating (Innovation Fund Denmark, 2023–2026). CoDE : Center for Digitalized Electronics (Poul Due Jensen Foundation, 2021–2026). Transistorization of Industrial Dielectric Heating Plants : PhD project focusing on semiconductor-based heating systems (2021–2023). Impacts: His work on modular power converters has yielded economic impacts through improved industrial heating systems. He has presented at events like the PDJF Grundfos Prize Expo (2022–2023).

• Human-Robot Interaction
• Social Robotics
• Cognitive Load Measurement
• +۳ مورد دیگر

Dr. Muneeb Ahmad is a Senior Lecturer in Computer Science at Swansea University, specializing in human-centered robotics and adaptive interaction systems. His research integrates human-computer interaction principles with intelligent robotics to develop socially engaging systems. Research Focus: Dr. Ahmad's work explores trust dynamics, cognitive load measurement, and adaptive behaviors in human-robot interaction, with applications in education, healthcare, and assistive technologies. His key research themes include: Psychophysiological measurement of trust and cognitive load Cross-cultural adaptation in social robots Multimodal interaction systems Reinforcement learning for adaptive behaviors Ethical implications of social robotics Recent publications demonstrate innovations in robot design for elderly care, trust optimization algorithms, deception detection systems, and fair interaction frameworks. His methodological approaches combine machine learning with human-centered design principles. Dr. Ahmad actively contributes to the research community as General Chair of the International Conference on Human-Agent Interaction and Guest Editor for ACM Transactions in Human-Robot Interaction.

• Signal Processing
• Telecommunications
• Wireless Communication Systems
• +۷ مورد دیگر

Kimmo Juhani Kansanen is a Professor at the Department of Electronic Systems at NTNU, leading the Signal Processing Group. He holds an MSc and PhD in Electrical Engineering from the University of Oulu, Finland. Since 2006, he has been affiliated with NTNU, advancing to his current role in 2016. His research focuses on wireless communication systems, satellite technologies, and machine learning applications in positioning and communication. **Education**: MSc in Electrical Engineering, University of Oulu PhD in Electrical Engineering, University of Oulu **Research Interests**: Kansanen specializes in error-correcting coding for satellites, localization and communication systems, MIMO spread spectrum techniques, and 5G infrastructure. He also explores medical sensing and wireless communication using ultra-wideband technology. **Grants & Projects**: He has led multiple EU and ESA-funded projects, including: "Air interface development for ultra-low powered IoT satellite applications" (ESA ARTES, 2020–2022) "User Terminal Wideband Modem for VHTS" (ESA, 2018–2020) "Massive Simple IoT" (RCN IKTPLUSS) **Patents**: Holder of US patents 7447285, 7492844, and 7466779 related to data processing and transmission methods.

Jimmy Jessen Nielsenمشاهده پروفایل

دانشیار

• Wireless Communications
• Ultra-Reliable Low Latency Communication
• Internet of Things
• +۹ مورد دیگر

Jimmy Jessen Nielsen is an Associate Professor in the Department of Electronic Systems at Aalborg University, under The Technical Faculty of IT and Design, Denmark. His research focuses on wireless communications, particularly in ultra-reliable low-latency communication (URLLC), 5G/6G networks, Internet of Things (IoT), satellite communications, and energy-autonomous networks. He is actively involved in several EU- and ESA-funded research initiatives such as PAINLESS, WILLOW, ONE5G, and SATNEX V, where he serves as principal investigator or key participant. His research interests lie at the intersection of wireless access technologies, network optimization, and cyber-physical systems. He explores topics including network slicing, UAV-based access points, software-defined radio, and indoor localization using building plans. His work contributes to UN Sustainable Development Goals in Communication and Informatics, Mathematics and Statistics, and Energy Engineering. His recent publications show a strong trend toward real-time adaptive networking, human-in-the-loop control over wireless links, and infrastructure-less communication systems. These works often involve collaborations with leading researchers such as Petar Popovski and Bosch Soret, and are published in high-impact IEEE venues including IEEE Transactions on Haptics and IEEE Open Journal of the Communications Society. Scientific Awards: Best Paper Award (2021) – for research on Micro Aerial Vehicle Networks and Access Points Nielsen has supervised and examined multiple PhD students and has been an active academic reviewer and committee member. He led the Department of Electronic Systems as chair starting in 2022 and has participated in numerous PhD defenses as both internal and external examiner. He also contributes to public discourse through media appearances on topics like Wi-Fi optimization and future mobile networks for robotics. He is affiliated with the Connectivity section at Aalborg University and maintains an active research profile with ongoing projects extending into 2025. His work emphasizes practical, deployable solutions for next-generation communication systems.

• Communications Systems
• Defence Information Systems
• Cybersecurity
• +۷ مورد دیگر

Dr Philip Nobles is a Lecturer at Cranfield University, affiliated with the Centre for Defence Engineering and Physical Science within the College of Engineering and Physical Sciences. He holds a PhD and MEng from Swansea University and has over 25 years of experience in academic and applied research in communications and cybersecurity. PhD, Swansea University MEng, Swansea University His research expertise lies in communications systems, defence information systems, and cybersecurity, with a focus on wireless networks, software-defined networking, military communications, and intrusion detection. He leads the development and delivery of an MSc module on Networked Systems and Cybersecurity for Connected and Autonomous Vehicles, and supervises research students. His work is supported by collaborations with DSTL/MOD, Airbus, EPSRC, BBC, and Philips Research Laboratories. Dr Nobles has published extensively on topics including intrusion detection sensor characterization, false positive responses, insider threat detection, and wireless communication systems. His publications reflect a strong trend in network security, sensor deployment optimization, and secure communications for defence and autonomous systems. Notable scientific contributions include work on: Characterising intrusion detection sensors False positive response mechanisms Scalable intrusion detection architectures Bayesian approaches to insider threat detection He actively supervises research students and contributes to high-impact projects funded by EPSRC and other strategic partners. His research integrates theoretical modeling with practical system deployment, particularly in military and critical infrastructure contexts. Dr Nobles is associated with the Department of Informatics and Sensors at Cranfield University, where he contributes to advanced research in network-centric warfare concepts and secure communication systems.

• Artificial Intelligence
• Data Mining
• Machine Learning
• +۷ مورد دیگر

Dr. M. M. El-Gayar is a faculty member at Mansoura University, affiliated with the Faculty of Computer and Information and the Department of Computer Science. He is also associated with New Mansoura University, reflecting his active role in Egypt's evolving academic landscape in computer science and engineering. His research spans key domains in modern computing, focusing on Artificial Intelligence , Data Mining , Deep Learning , and their applications in healthcare , cybersecurity , and the Internet of Things (IoT) . His work integrates computational intelligence to solve real-world problems such as disease diagnosis, medical image analysis, and secure digital systems. The recent publications highlight a strong trend toward applying hybrid and deep learning models in medical diagnostics, including breast cancer and heart disease prediction, as well as semantic analysis for pneumonia detection in pandemic contexts. His IoT research emphasizes optimization for device localization, while cybersecurity efforts focus on phishing mitigation. These interdisciplinary efforts reflect a cohesive research vision centered on intelligent systems for societal benefit. Dr. El-Gayar has received research support from prestigious organizations including the United States Agency for International Development and the British Council , underscoring the international relevance and impact of his work. He has contributed to multiple high-impact journals such as IEEE Access , Computers, Materials and Continua , and the International Journal of Electrical and Computer Engineering , demonstrating consistent scholarly output and collaboration.

• Robotics
• Control Systems
• Simultaneous Localization and Mapping (SLAM)
• +۷ مورد دیگر

Seyed Masoud Sotoodeh Bahraini is an Assistant Professor at Sirjan University of Technology and Senior Research Fellow at the University of Birmingham. His career spans multiple institutions including Loughborough University (Research Associate/Teaching Fellow) and City, University of London (Postdoctoral Research Fellow). Current Affiliations: Assistant Professor, Sirjan University of Technology Senior Research Fellow, University of Birmingham Past Positions: Research Associate & Teaching Fellow, Loughborough University (2022-2024) Postdoctoral Research Fellow, City, University of London (2019-2021) Dr. Bahraini's research bridges robotics, control theory, and fractional calculus applications. His work focuses on: SLAM and visual odometry in dynamic environments Human-robot collaboration gestural interfaces Fractional-order control for chaotic systems Viscoelastic material modeling in microbeams Multi-robot cooperation for planetary exploration Deep learning integration in robotic perception His publications since 2013 demonstrate expertise in applying fractional calculus to mechanical systems and advancing SLAM algorithms through machine learning. Key trends include: 2013-2014: Foundational work on fractional derivative models for viscoelastic beams 2018-2021: Development of ML-RANSAC SLAM techniques and planetary exploration robotics 2023-2025: Expansion into fuzzy fractional control and human-robot interaction gestures

Huib Visserمشاهده پروفایل

استاد

• Wireless Power Transfer
• Antenna Design
• Phased Array Antennas
• +۳ مورد دیگر

Huib Visser is a part-time Professor of 'Wireless Data and Power Transfer for Miniature and Environment-Independent Electronics' at Eindhoven University of Technology's Department of Electrical Engineering. His primary affiliation is with IMEC Netherlands at Holst Centre Eindhoven, where he leads Wireless Power Transfer research. He holds a PhD from TU/e and KU Leuven (2009) and an MSc in Electrical Engineering from TU/e (1989). Research focuses on optimizing rectennas, phased array antenna technology, and wireless power transfer for biomedical applications. Key areas include antenna miniaturization, near-field measurements, and MMIC design. He authored three books on antenna theory and served as chief editor of the NERG Journal. Publications emphasize advancements in radar-based life-sign detection, indoor tracking systems, and biomedical implant power solutions. His work bridges electromagnetic theory with practical applications in healthcare and sensor networks. Labs/Teams: Leads the Electromagnetics for Care + Cure Research Lab (EM4Care+Cure) and contributes to EIRES Research initiatives.

• Signal Processing
• Acoustic Sensor Networks
• Machine Learning
• +۳ مورد دیگر

Roberto Gil Pita is a Professor at the University of Alcalá (Spain), affiliated with the Department of Signal Theory and Communications. He leads the AES3 research group focusing on acoustic and electromagnetic smart sensor networks and signal processing applications. His doctoral work (2006) centered on radar target classification using statistical and AI methods under the supervision of Dr. Manuel Rosa Zurera. His research spans signal processing, machine learning, and their applications in aerospace, biomedical systems, and smart cities. Key areas include UAV detection, emotion recognition from speech, and acoustic localization using microphone arrays. His academic background includes a doctorate from the University of Alcalá and extensive contributions to wireless acoustic sensor networks, hearing aid signal processing, and bioimpedance spectroscopy. He has developed energy-efficient algorithms for real-time audio analysis, acoustic violence detection systems, and robust methods for speech enhancement in noisy environments. His work bridges theoretical signal processing with practical engineering solutions for defense, healthcare, and urban monitoring. Research interests extend to aeroelastic flutter analysis in aviation, wearable biomedical sensors for stress assessment, and data-driven approaches for sound environment classification. He has pioneered the use of deep learning in flutter testing and acoustic event classification, contributing to datasets like REALISED for benchmarking machine learning models. Notable projects include acoustic localization of drones using microphone arrays, real-time emotion detection systems, and collaborative research in smart healthcare technologies. His work emphasizes computational efficiency and energy conservation, particularly for embedded systems and battery-operated devices.

Erman Aydayمشاهده پروفایل

دانشیار

• Privacy Enhancing Technologies
• Data Security
• Applied Cryptography
• +۷ مورد دیگر

Erman Ayday is an Associate Professor at the Department of Computer and Data Sciences within the Case School of Engineering at Case Western Reserve University. His research focuses on privacy-enhancing technologies, data security, and applied cryptography, with a particular emphasis on genomic privacy, cybersecurity in smart grids, and trust management in ad-hoc networks. He holds a PhD, MS, and BS in Electrical and Computer Engineering from Georgia Institute of Technology (2011) and Middle East Technical University (2005). Education: PhD in Electrical and Computer Engineering, Georgia Institute of Technology (2011) MS in Electrical and Computer Engineering, Georgia Institute of Technology (2007) BS in Electrical and Electronics Engineering, Middle East Technical University (2005) Research Interests: Dr. Ayday’s work addresses privacy challenges in genomic data sharing, secure collaborative learning, and trust management in wireless networks. He explores cryptographic solutions for genomic data protection, inference attack mitigation, and privacy-preserving frameworks for location-based services. His contributions span publications in top-tier journals and conferences, including IEEE Transactions on Dependable and Secure Computing and Bioinformatics. Key Research Trends: His articles highlight advancements in differential privacy for genomic data, secure watermarking techniques, and re-identification attack mitigation. Recent work emphasizes the intersection of machine learning, cryptography, and ethical genomic data use. Grants & Advising: While specific grants are not listed, his publications indicate sustained engagement with funding bodies in cybersecurity and genomics. He advises on projects related to privacy-preserving technologies and has collaborated with institutions like ETH Zurich and IBM Research. Labs & Teams: He leads research initiatives at the Case School of Engineering focused on privacy in big data and cybersecurity for emerging technologies like smart grids and M2M networks.

Ahmad Syahrir Ayubمشاهده پروفایل

مدرس

• Lightning Protection
• High Voltage Engineering
• Cable Diagnostics
• +۱۱ مورد دیگر

Ahmad Syahrir Ayub is a Teaching Fellow in the Department of Electronic and Electrical Engineering within the Faculty of Engineering at the University of Strathclyde, Glasgow, UK. He is recognized as a Senior Fellow of the Higher Education Academy (SFHEA), reflecting his commitment to excellence in teaching. Prior to his current role, he served as a Lecturer and Course Leader for the Graduate Apprenticeship BEng in Instrumentation, Measurement and Control at Robert Gordon University, and as a lecturer at Perth College, University of the Highlands and Islands. He also contributed as a researcher in the High Voltage Technologies (HVT) Group at the University of Strathclyde. His educational background includes a Bachelor of Engineering in Electrical and Electronic Engineering from Cardiff University and an ILM Level 3 Award in Leadership and Management. These qualifications underpin his technical and pedagogical expertise. Ahmad's research spans critical areas in electrical engineering and sustainability. His primary interests include lightning and lightning protection systems, cable diagnostics through partial discharge detection, renewable energy integration (particularly wind and solar), and engineering pedagogy. His work contributes to UN Sustainable Development Goals, especially in clean energy and climate action. He has actively participated in innovation projects focused on emissions monitoring, wireless communication for IoT, and energy efficiency in public infrastructure like ice rinks. The recent publications highlight a strong trend in condition monitoring of power systems, particularly through acoustic and signal processing techniques for fault diagnosis in cables. Additional work explores renewable energy modeling and materials science applications, indicating a multidisciplinary approach bridging engineering fundamentals with sustainable technology development. Senior Fellowship of Higher Education Academy (SFHEA) Fellowship of Higher Education Academy (FHEA) STAR Awards 2021 - Certificate of Recognition - Academic Staff OBI Most Inspiring Lecturer (HISA) 1st Paper Prize Award Ahmad has served as a co-investigator on multiple funded innovation projects, including those supported by Scottish Enterprise through Innovation Voucher Awards totaling over £37,000. These projects involved collaborations with industry partners on real-time CO2 emission sampling, drone-based wireless communication, landmine detection sensors, and energy efficiency in ice rinks. While no formal students are listed, his role as a teaching fellow and course leader indicates significant mentorship and curriculum development responsibilities. He has also contributed to climate education through participation in EnRoads climate simulator workshops. His research is conducted within interdisciplinary teams, often collaborating with experts in renewable energy, wireless systems, and environmental monitoring. These collaborations reflect a strong network across academia and industry, particularly in applied engineering solutions for sustainability challenges.

Young-Wook Junمشاهده پروفایل

دانشیار

• Nanoprobing systems
• Single molecule dynamics
• Biomolecular interactions
• +۶ مورد دیگر

Young-Wook Jun, PhD , is an Associate Professor at the University of California San Francisco (UCSF) and Director of the Nano-Probing Single Biomolecule Dynamics Laboratory within the Department of Otolaryngology - Head and Neck Surgery (OHNS). His research focuses on nanoprobing systems to study single molecule dynamics in cellular processes like gene regulation, cell-to-cell communication, and neuron circuit formation. Education: PhD in Materials Chemistry (KAIST, 2005), Postdoc at Yonsei University (2007) and UC Berkeley (2010). Dr. Jun's work explores nanocrystal-molecules as probes for mechanobiology, integrating fabrication, surface chemistry, and magnetic/plasmonic coupling principles. His funding from the NIH spans projects such as spatiotemporal mechanobiology interrogation (R35GM134948) and Notch signaling analysis (R01GM112081). His publications (over 40) and book chapters (5) include breakthroughs in magnetic nanotools, plasmon rulers, and quantum dots for live-cell mechanogenetics. Awards include the Sandler Foundation New Innovator Award (2010), IUPAC Prize (2005), and recognition as a Highly Cited Researcher (2014).

Patrick Mayorمشاهده پروفایل

پژوهشگر

• Granular Physics
• Complex Systems Engineering
• Materials Science
• +۳ مورد دیگر

Patrick Mayor serves as Head of Faculty Affairs for the School of Engineering (STI) at École Polytechnique Fédérale de Lausanne (EPFL), while concurrently holding roles as Coordinator of the STI Academic Evaluation Committee and Scientist in the PRN-MARVEL (NCCR MARVEL) administration. His institutional presence spans administrative leadership and research coordination within EPFL's engineering ecosystem. Research interests demonstrate a clear evolution from fundamental granular physics (2003-2008) to complex systems engineering (2010-2018). Early work established foundational insights into vibration-fluidized granular matter, Brownian motion analogies, jamming transitions, and impact cratering mechanics. Later contributions pivoted toward the Nano-Tera.ch initiative, focusing on engineering integrated systems for health monitoring, environmental sustainability, and energy infrastructure through nanotechnology applications. This trajectory reflects a strategic shift from theoretical physics toward applied transdisciplinary engineering solutions. Publication analysis reveals distinct thematic clusters: granular media studies predominantly appear in high-impact physics journals ( Nature , Physical Review Letters ), characterized by experimental investigations of non-equilibrium statistical mechanics. The Nano-Tera.ch series features in engineering and information technology venues, emphasizing system integration, sensor networks, and cyber-physical architectures. Both phases maintain rigorous methodological approaches while addressing increasingly complex real-world challenges. Administrative leadership positions indicate significant institutional responsibility, with Faculty Affairs oversight encompassing academic evaluations, strategic planning, and faculty development across EPFL's engineering school. PRN-MARVEL involvement connects to Switzerland's National Centre of Competence in Research, positioning Mayor at the intersection of academic governance and cutting-edge materials science initiatives. Research infrastructure engagement includes the PRN-MARVEL administration and Nano-Tera.ch consortium, facilitating cross-disciplinary collaboration between physicists, engineers, and computer scientists. These frameworks support large-scale projects addressing societal challenges through technological innovation, with Mayor contributing to both conceptual development and operational execution.

• Wireless Communication Networks
• Distributed Systems
• Sensor Networks
• +۸ مورد دیگر

Prof. Horst Hellbrück is an esteemed academic at the Lübeck University of Applied Sciences , where he holds a professorship in Communication Systems and Distributed Systems since 2008. He leads the Center of Excellence CoSA (Communications - Systems - Applications) and focuses on wireless mobile networks, sensor networks, and their applications in medical and underwater technologies. His work bridges theoretical research with practical implementations, including projects like 5G-TELK-NF (autonomous driving/flying), Baltic Future Port (5G drone-based data optimization), and DAVE (digital twin for inland vessel navigation). Education: Diplom (equiv. to Master’s) in Electrical Engineering (1994, University of Saarland); PhD in Computer Science (2004, TU Braunschweig). Research Interests: Modern network structures, sensor systems for healthcare, underwater object detection, and 5G/AI integration. Scientific Contributions: His recent publications focus on UWB-based localization, 5G industrial deployments, and multisensor platforms for underwater applications. He has developed tools like ANSim (Ad-Hoc Network Simulator) and JGPSMap (GPS visualization). Leadership Roles: Active in GI/ITG Fachgruppe KuVS , program committee memberships, and long-term support for internationalization as part of the university’s governance bodies.

• Cybersecurity
• Wireless Sensor Networks
• Smart Grid Security
• +۷ مورد دیگر

Dr. Yee Wei Law is a Senior Lecturer at the University of South Australia's (UniSA STEM) Mawson Lakes Campus. His research expertise spans cybersecurity, machine learning, and wireless sensor networks, with a focus on secure communication systems and autonomous vehicle localization. He serves as a Research Degree Supervisor and actively contributes to publications in IoT security, space systems, and privacy-preserving technologies. Research Trends : Recent work emphasizes domain adaptation for predictive maintenance, adversarial attack analysis in computer vision, and quantum key distribution for satellite-IoT networks. Key themes include security in smart grids, UAV-based gesture recognition, and collaborative privacy-preserving algorithms. Publications highlight interdisciplinary applications of machine learning in fault diagnostics, cloud detection via satellite, and secure networking protocols. His work bridges theoretical advancements with real-world implementations in hypersonic tracking and RFID security.