Find Academic Supervisors

• Wireless Communications
• MIMO Systems
• Satellite Communications
• +3 more

Iain Collings is a Professor in the School of Engineering at Macquarie University, Sydney, Australia since 2014. He previously held roles as Head of Department and Deputy Dean of School. With a PhD in Systems Engineering from the Australian National University (1995), he spent nine years at CSIRO in leadership roles such as Deputy Chief of Division and Theme Leader, followed by academic positions at the Universities of Melbourne and Sydney. His research focuses on wireless communications, including MIMO systems, satellite communications, and millimeter-wave technologies. He has published over 350 papers and co-founded the Australian Communications Theory Workshop (AusCTW). Awards include the Engineers Australia Neville Thiele Award (2009), IEEE Stephen O. Rice Award (2011), and multiple teaching excellence awards. Education: PhD in Systems Engineering, Australian National University (1995) Previous academic and research roles at CSIRO, University of Melbourne, and University of Sydney Research Interests: Pioneering contributions to adaptive multiple-user and antenna systems in wireless communications, including MIMO, satellite networks, IoT, UAV communications, and RFID technologies. His work bridges fundamental research, prototype development, and education through channels with over 80,000 YouTube subscribers. Recent Projects: DP23: Enabling wide-area mm-wave mobile broadband networks (2023–2025) LP20: Scaling Up Satellite Communications for IoT (2021–2024) Advanced Satellite Communications for High-Rate Service Delivery (2020) Publications: Over 350 papers, with recent focuses on UAV-based IoT data collection, satellite IoT feasibility, and mm-wave beamforming. His YouTube channel provides educational content viewed over 7 million times. Awards and Roles: Fellow of IEEE Member of Australian Academy of Science's National Committee for Information and Communication Sciences Associate Editor for Sensors and IEEE Transactions on Wireless Communications

• Optoelectronics
• Liquid Crystal Technologies
• Visible Light Communication (VLC)
• +4 more

Juan Carlos Torres Zafra is a Visiting Professor at Universidad Carlos III de Madrid. His research focuses on optoelectronics, liquid crystal technologies, visible light communication (VLC), and sensor systems. His work spans interdisciplinary areas including energy-harvesting IoT nodes, indoor positioning systems, and optical communication interfaces for high-definition media transmission. Torres Zafra has contributed to advancements in semiconductor materials (e.g., perovskites), low-cost sensor networks, and hybrid RF-VLC positioning systems. His research also extends to educational technology, exploring tools like Telegram and Google Workspace for improving student engagement in cybersecurity engineering programs. Notable projects include the GUTI group's work on optical vortices using liquid crystal devices and the development of tunable resonators based on liquid crystal capacitance. His publications from 2020–2025 highlight trends in VLC system optimization, AI-driven disinformation detection (SmartVote-AI initiative), and medical studies on amyloidosis therapy outcomes. Torres Zafra’s work often emphasizes practical applications in robotics, automotive systems, and sustainable energy solutions. While no formal awards are listed, his extensive publication record (over 80 entries from 2004–2025) reflects sustained contributions to photonics, sensor engineering, and liquid crystal device innovation. His research integrates hardware design, algorithm development, and material science to address challenges in modern communication systems and assistive technologies for visually impaired patients.

• Optoelectronics
• Visible Light Communication (VLC)
• Internet of Things (IoT)
• +3 more

Carlos Iván Del Valle Morales is an Adjunct Professor at Carlos III University of Madrid. His research focuses on visible light communication (VLC), Li-Fi systems, and energy-harvesting technologies. He leads projects in the Grupo Universitario de Tecnologías de Identificación (GUTI), developing optical communication interfaces for IoT, high-power LED characterization, and indoor positioning systems using trilateration and angular diversity. Recent work emphasizes perovskite photovoltaic applications for self-powered IoT nodes and hybrid RF-VLC positioning systems. His publications span 2020–2024, addressing energy efficiency, bandwidth optimization, and hardware design for VLC systems in automotive and multimedia contexts.

Ian BrownView profile

Professor

• Energy Conversion
• Electric Machines
• Adjustable Speed Drives
• +6 more

Ian Brown is a Professor of Electrical and Computer Engineering at Illinois Institute of Technology, part of the Armour College of Engineering. He holds a Ph.D. (2009), M.S. (2003), and B.S. (1999) in Electrical and Computer Engineering from the University of Wisconsin-Madison and Swarthmore College. His research focuses on energy conversion, electric machines, and renewable energy systems, with emphasis on sensorless control, machine design optimization, and traction motor development for electric vehicles. He has extensive industry experience as a principal engineer at A.O. Smith, contributing to electric machine and drive technologies. Research interests include adjustable speed drives, high-power density motors, and applications in sustainable energy. He has advised multiple graduate students and published over 50 peer-reviewed articles in IEEE Transactions and conferences. His recent work explores superconducting circuit breakers, thermal management systems, and advanced winding designs to minimize harmonic distortions. Brown's contributions bridge academic research with industrial applications, particularly in improving energy efficiency and reliability in power conversion systems. He is affiliated with the IEEE and has contributed to journal editorials on electric machines in renewable energy. His lab focuses on experimental prototyping and simulation-driven optimization of electric drives. Current projects include developing brushless capacitive excitation systems for traction motors and analyzing driving cycle-based machine design optimization strategies. Teaching responsibilities include graduate courses on electric machines and power electronics. He maintains active collaborations with industry partners like A.O. Smith and Siemens, emphasizing translational research with commercialization potential.

• Power Electronics
• Control Theory
• Mathematical Optimization
• +5 more

Petros Karamanakos is an Assistant Professor in the Department of Electrical Engineering at Tampere University's Faculty of Information Technology and Communication Sciences. His research focuses on advanced control methodologies for power electronic systems, emphasizing optimization, mathematical programming, and model predictive control. He holds a Ph.D. and Diploma in Electrical and Computer Engineering from the National Technical University of Athens (2007–2013). Prior to his academic role, he worked at ABB Corporate Research Center (2010–2011) and was a PostDoc Research Associate at Technische Universität München (2013–2016). His mission involves developing control methods that maximize hardware capabilities while minimizing hardware requirements. Key research topics include variable speed drives, grid-connected converters, multilevel power converters, and modulation strategies. He has received prestigious awards, including the Third Best Paper Award in IEEE Transactions on Industry Applications and four IEEE conference prize paper awards. Teaching responsibilities include courses on power electronics and control systems. He actively supervises BSc, MSc, and PhD students. His work bridges theoretical advancements with practical implementations in power electronics, with a focus on real-time control and system optimization.

Yang Hui YingView profile

Professor

• Energy Storage
• Nanomaterials
• Environmental Engineering
• +3 more

Yang Hui Ying is a Professor at Singapore University of Technology and Design (SUTD), specializing in Energy & Sustainability. She has held roles since 2010, progressing from Assistant Professor (2010–2016), Associate Professor (2016–2022), and her current position since 2022. Her research focuses on nanomaterials for energy storage and water purification, with pioneering work in chemical doping, work function engineering, and defect analysis in low-dimensional nanomaterials. She leads the Energy and Environmental Sustainability (EES) Laboratory, advancing materials for electrochemical energy storage and water treatment. Key research areas include sodium-ion batteries, zinc-ion batteries, and ion-selective desalination technologies. She has secured grants totaling over S$1.5 million, including MOE Tier 2 grants and NRF-funded projects. Awards include the SNIC-AsCA2019 Distinguished Woman Chemist Award and Fellowships from the Royal Society of Chemistry and ASEAN Academy of Engineering and Technology. Her work emphasizes sustainability, with projects addressing low-energy water treatment and decarbonization. The EES Lab explores novel materials like MXenes, graphene, and composites for high-performance batteries and environmental applications. She collaborates internationally, including visits to MIT and partnerships with industry leaders like ST Dynamics.

Ralf SalomonView profile

Professor

• Embedded Systems
• Localization and Positioning
• Time Interval Measurement
• +12 more

Ralf Salomon is a Professor at the Faculty of Computer Science and Electrical Engineering , University of Rostock , Germany. He holds the title of Prof. Dr.-Ing. habil. and is actively involved in research and teaching in embedded systems, localization, and signal processing. University: University of Rostock School: Faculty of Computer Science and Electrical Engineering Position: Full Professor Contact: Room 201, Tel: +49 381 498 7260 His research focuses on high-precision time measurement , ambient assisted living , industrial embedded systems , and localization technologies . He applies bio-inspired principles, particularly from the barn owl auditory system, to develop low-cost, high-accuracy systems. His work spans health monitoring (e.g., fall detection, cochlear implants), sports technology, and animal experimentation systems. The recent publications (2020–2025) show a strong trend in sensor systems , embedded vision , and real-time measurement , with applications in sports, healthcare, and automation. His work combines theoretical innovation with practical implementation, often using FPGAs and microcontrollers. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He advises students such as Theo Gabloffsky , who co-authors multiple publications and assists in teaching. He has led multiple funded projects including Welisa (DFG Graduate College) , iHeal , CurlDat , and BOUNCE . Many of his projects focus on health, localization, and embedded intelligence. Labs and Teams: He collaborates closely with researchers like Ralf Joost , Matthias Hinkfoth , Gerald Bieber , and Marian Lüder . His team develops FPGA-based systems, embedded sensors, and intelligent algorithms for real-world applications in health, industry, and sports.

• Automation
• Robotics
• Control Systems
• +5 more

Prof. Igor Krčmar is a full professor at the Faculty of Electrical Engineering of the University of Banja Luka, specializing in Automation and Robotics . He holds a position in the Department of Automation and teaches courses at both undergraduate and graduate levels. His research focuses on control systems, neural networks, electrical drives, and adaptive control methodologies. He has authored several textbooks including Upravljanje u realnom vremenu (Real-Time Control) and Senzori i Aktuatori (Sensors and Actuators). His recent work emphasizes sensorless motor control, PI controller optimization for industrial systems, and machine learning applications in occupancy estimation. Over 25 years, he has published extensively in journals like IEEE Transactions on Industrial Electronics and conferences such as INFOTEH-JAHORINA and IcETRAN. His work bridges theoretical advancements with practical implementations in industrial automation and energy efficiency. Key contributions include: Development of discrete rotor flux estimators for high-speed drives Adaptive neural control algorithms for nonlinear systems Integration of fuzzy logic with hydrodynamic process control Optimization of PMSM drives for energy efficiency He collaborates internationally on EU-funded projects and serves on editorial boards of electrical engineering journals.

Emilie Avignon-MeseldzijaView profile

Researcher

• Analog Signal Processing
• RF Circuits Design
• Metamaterials
• +7 more

Emilie Avignon-Meseldzija is a Researcher at the Electrical and Electronic Engineering of Paris , affiliated with the School of Engineering at the University of Paris. Her work focuses on advanced analog and RF circuit design, with significant contributions to filter design, metamaterials, biomedical electronics, and radar systems. She has published over 24 peer-reviewed articles between 2010 and 2025, emphasizing innovations in group delay filters, non-Foster components, and FMCW radar systems. In education, she co-developed a new microelectronics teaching method implemented at Supélec in 2012, focusing on practical circuit design and integrated systems education. Her research combines theoretical rigor with practical applications, such as low-power biomedical stimulators and high-performance radar front-ends. Key areas of expertise include: Passive and active filter design Non-Foster metamaterial components Biomedical signal conditioning circuits RF frequency synthesizers Integrated circuit layout optimization Recent work (2024–2025) emphasizes dynamically reconfigurable systems, tunable inductors, and programmable biomedical stimulation circuits. Her contributions bridge foundational RF engineering with emerging applications in healthcare and radar technology.

• Integrated Circuits
• Wireless Communications
• CMOS
• +7 more

Jussi Ryynänen is a Professor and Dean at Aalto University's School of Electrical Engineering, leading the Electronic Circuit Design (ECD) unit within the Department of Micro and Nanosciences. His research focuses on integrated circuits, wireless transceivers, and millimeter-wave systems, with a strong emphasis on RF, analog, and digital IC design. The ECD unit is internationally recognized for its work in nanoscale IC technologies and advanced measurement infrastructure. Key research areas include time-based integrated circuits, beam-steering/MIMO systems, antenna-IC co-design, and RF DAC/ADC development. His work combines cutting-edge semiconductor technologies with innovative circuit architectures for high-speed communication and sensor applications. The group maintains extensive collaborations and funding networks supporting its interdisciplinary projects. Ryynänen's research has been honored with awards such as the ECCTD Best Student Paper (2015), Crowncom Student Award (2011), and a best paper at the Advances in Cognitive Radio Conference (2012). His group actively publishes in top-tier venues like IEEE Transactions on VLSI Systems and IEEE Access, addressing challenges in mmWave circuits, neural network accelerators, and reconfigurable DSP hardware. Current projects span automated design frameworks for analog circuits, passive CMOS circulators for nonreciprocal systems, and energy-efficient signal processing architectures for 5G/6G transmitters. His work bridges fundamental circuit theory with practical implementations for next-generation communication systems.

• Data Analytics
• Critical Infrastructure Management
• Cybersecurity
• +3 more

Panos Melas is a Researcher and Engineer at the IT Innovation Centre within the School of Electronics and Computer Science at the University of Southampton. He holds a PhD in Computer Science (High Performance Computing) from the same institution (2000). His work focuses on data analytics, cybersecurity, critical infrastructure resilience, and urban safety. He contributes to projects like SPYDERISK, addressing privacy risks in distributed systems and decision-support frameworks for infrastructure management. Research interests include risk management in adaptive ICT systems, crime data analysis for urban safety, and grid infrastructure interoperability. His expertise spans technical leadership in interdisciplinary teams, with publications in conferences and reports on topics such as system trustworthiness and human perception of safety.

• Mineralogy
• Mineral Processing
• Building Materials
• +3 more

Dr. Sen Wang is a Postdoctoral Fellow in the School of Chemistry and Physics at Queensland University of Technology (QUT), Faculty of Science. His research focuses on mineralogy and mineral processing, with applications in building materials development and mineral-based catalysts. Dr. Wang earned his PhD from QUT in 2023. Prior to that, he completed his Master's degree from China University of Mining and Technology (Beijing) in 2018, and his Bachelor's degree from the same institution in 2014. Dr. Wang's research specializes in the structures and properties of minerals, with a focus on designing mineral-based materials for practical applications including sustainable concrete, clay bricks, fire-resistant gypsum boards, and high-performance catalysts. He has actively collaborated with Queensland's building materials industry for five years, implementing quality control strategies and facilitating technology transfer. His research outputs have been disseminated to 22 brickmaking factories worldwide, demonstrating significant practical impact. Dr. Wang's publication record shows expertise across mineral processing, materials science, and environmental applications. His work demonstrates consistent focus on clay minerals and their applications in construction materials, with significant contributions to understanding thermal behaviors during brick firing. More recently, his research has expanded into catalysis and nanomaterials for environmental applications, showing increasing interdisciplinary reach. Dr. Wang has secured over AUD $120k in grants and awards, including: QUT Early Career Researcher Ideas Scheme (Australia, 2024) The Clay Minerals Society Student Research Grant (USA, 2023) The Clay Minerals Society Student Travel Award (USA, 2022) Chinese Government Award for Outstanding Self-financed Students Abroad (China, 2022) Dr. Wang has authored 19 research articles in top-tier peer-reviewed journals since 2016, with one first-author paper achieving ESI's top 1% highly cited paper in Engineering. His work has accumulated over 700 citations on Google Scholar, with both h-index and i10-index standing at 17. He is currently accepting research students for Honours, Masters, and PhD study, indicating his active role in mentoring the next generation of researchers. Dr. Wang is affiliated with the Centre for Materials Science at QUT and serves on the Editorial Boards of Green and Smart Mining Engineering (KeAi, China) and the International Journal of Materials Science and Applications (Science PG, USA). His membership in The Clay Minerals Society (USA) demonstrates his standing in the mineralogy research community.

• Wireless Communications
• Cognitive Radio
• Massive MIMO
• +7 more

Professor Wei Zhang is a Full Professor at the School of Electrical Engineering & Telecommunications, University of New South Wales (UNSW), where he has been serving since May 2008, progressing from Senior Lecturer (2008-2012) to Associate Professor (2013-2017) and finally to Full Professor in November 2017. He received his PhD degree in Electronic Engineering from the Chinese University of Hong Kong in 2005 and was a Research Fellow at the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology from 2006 to 2007. Professor Zhang's research spans cognitive radio, massive MIMO, 5G/6G networks, UAV communications, orbital angular momentum, and reconfigurable intelligent surfaces. His publications demonstrate a strong theoretical foundation combined with practical implementations, addressing critical challenges in modern wireless systems including spectrum efficiency, secure communications, and network intelligence. With over 200 papers in IEEE journals and conferences along with three authored books, his work has significantly impacted the field of wireless communications. Analysis of his recent publications (2023-2025) reveals a clear trajectory toward next-generation wireless technologies with emphasis on reconfigurable intelligent surfaces (RIS), orbital angular momentum (OAM), non-orthogonal multiple access (NOMA), and the integration of machine learning with traditional communication techniques. A substantial portion of his current work focuses on satellite-terrestrial integrated networks, UAV communications, and secure wireless transmission techniques, showing increasing sophistication in addressing complex communication challenges through innovative approaches. Professor Zhang's scientific achievements have been recognized with prestigious honors including: Fellow of the IEEE Fellow of the IET Distinguished Lecturer of IEEE Communications Society (2016-2017) His leadership in the academic community is evident through his editorial roles as Editor-in-Chief of IEEE Wireless Communications Letters (2016-2019) and currently as Editor-in-Chief of Journal of Communications and Information Networks (JCIN). As Area Editor of IEEE Transactions on Wireless Communications and former editor for multiple IEEE Transactions journals, he has significantly influenced the direction of wireless communications research. His active participation in major IEEE conferences as TPC Chair and Co-Chair demonstrates his commitment to advancing the field through scholarly exchange. Currently serving as Chair of IEEE Wireless Communications Technical Committee and Vice Director of IEEE Communications Society Asia Pacific Board, Professor Zhang continues to shape the future of wireless communications research globally, bridging the gap between academic innovation and industry implementation in next-generation wireless networks.

• Magnetic recording
• Information storage technology
• Resistive memory devices
• +5 more

James Bain is a Professor in the Electrical and Computer Engineering (ECE) Department at Carnegie Mellon University, with a courtesy appointment in the Department of Materials Science and Engineering. He serves as Associate Director of the Data Storage Systems Center (DSSC) within the College of Engineering. B.S. in Materials Science and Engineering from the University of Pennsylvania (1988) M.S. (1991) and Ph.D. (1993) in Materials Science and Engineering from Stanford University His research spans magnetic, optical, electrical, thermal, and mechanical devices for information storage. Current programs focus on heat-assisted magnetic recording and resistive switches for memory and reconfigurable electronics, with interdisciplinary applications in energy security, industrial decarbonization, and nanofabrication. His work intersects materials science , electrical engineering , and nanotechnology . Scott Institute Seed Grant (2018) for energy research Member of Materials Research Society and IEEE Magnetics, Electron Devices, and Photonics Societies Bain has co-authored over 225 publications and leads research at the interface of data storage and energy systems . He actively contributes to multiphysics modeling, nanoscale thermal transport, and phase-change materials. His lab is affiliated with Carnegie Mellon’s Data Storage Systems Center, advancing technologies for grid-interactive and high-performance buildings.

S. Joseph PoonView profile

Professor

• Experimental Condensed Matter Physics
• Thermoelectric Materials
• Topological Semimetals
• +7 more

S. Joseph Poon is the William Barton Rogers Professor of Physics at the University of Virginia in the Department of Physics, College of Arts and Sciences. He is an active experimental condensed matter physicist with a Ph.D. from the California Institute of Technology (1978). His research spans thermoelectric materials, magnetic skyrmions, and high-entropy alloys, combining experiment, computation, and data science. His research focuses on three main areas: (i) thermoelectric properties of narrow-gap semiconductors and topological semimetals, (ii) synthesis and computational modeling of ferrimagnetic and antiferromagnetic heterostructures exhibiting skyrmions and anomalous Hall effects for spintronics, and (iii) data-driven exploration of high-entropy alloys in high-dimensional composition space. These efforts aim to enable low-power, ultrafast computing and superior functional materials. The recent publications reflect a strong trend in topological magnetism and advanced materials design. His group leverages atomistic simulations, thin-film synthesis, and machine learning to uncover new physical phenomena and optimize material performance. Work on skyrmionics and high-entropy alloys demonstrates a forward-looking approach integrating physics with data science. Notable scientific recognition includes: 2020 Jesse W. Beams Research Award, American Physical Society (Southeastern Section) His research has attracted significant funding, including a $3.4 million DARPA grant for developing ultra-compact computing memory. He leads a vibrant research group and collaborates extensively with experts in spintronics and materials theory. He is also active in departmental governance, serving on key committees such as the APS/AAAS Fellowship Committee (Chair), Long Range Planning Committee, and Chair's Advisory Committee. His lab focuses on experimental and computational studies of quantum and emergent phenomena in complex materials.