Dr. Anwar Ali is a Lecturer in the Department of Electronic and Electrical Engineering at Swansea University's Bay Campus, United Kingdom. He earned his MSc (2010) and PhD (2014) in Electronic Engineering from Politecnico di Torino, Italy. His academic roles include postgraduate supervision and teaching modules like EG-152: Analogue Design EG-158: Software Engineering EG-252: Embedded System Design EG-319: Integrated Circuit Design His research focuses on power electronic converters, embedded systems, satellite technologies (power management, attitude determination), and thermal modeling of aerospace systems. Recent work spans autonomous vehicle mobility management, medical imaging diagnostics, and multisource energy harvesting. He has authored over 50 publications and led five research projects as Principal Investigator. Dr. Ali supervises PhD students in areas like wireless power transfer for medical devices and satellite control optimization. His teaching emphasizes practical engineering applications, including PCB design, Python programming, and thermal analysis of spacecraft systems.
Tim Fritzmann is a researcher at the Department of Security in Information Technology (Technische Universität München). His work focuses on post-quantum cryptography, lattice-based algorithms, and secure hardware/software co-design for constrained environments like automotive systems and embedded devices. Post-Quantum Cryptography Lattice-Based Cryptography Hardware/Software Co-Design Error-Correcting Codes RISC-V Architecture ASIC Design His recent publications (2018–2022) highlight advancements in fault attacks, side-channel countermeasures, and efficient implementations of lattice-based protocols for IoT, automotive systems, and FPGA-SoC platforms. Key themes include parameter optimization for decryption reliability, masked accelerators, and instruction-set extensions for quantum-resistant algorithms. Research projects involve collaborations with institutions like the University of Leuven and TU München, emphasizing post-quantum security integration into real-world hardware architectures. No explicit awards or student advisement details are listed publicly.
Professor Maurice Skolnick is a distinguished academic at the University of Sheffield , serving as the Professor of Condensed Matter Physics in the School of Mathematical and Physical Sciences since 1991. His career spans postdoctoral research at the Max-Planck-Institute (1975–1978), leadership at the Royal Signals and Radar Establishment (1978–1991), and pivotal roles in EPSRC National Centre for III-V Technologies and ERC Advanced Investigator Grant projects. Research Interests : Skolnick's work focuses on semiconductor nanostructures , quantum dot physics , polariton physics , and photonic structures . His studies explore light-matter interactions, quantum coherence, and topological effects in photonic systems, with over 700 publications and an h-index of 75. Scientific Awards : EPSRC Senior Research Fellowship (2001) Mott Medal and Prize (2002) Fellow of the Royal Society (2009) Foreign Member of the Russian Academy of Sciences (2011) ERC Advanced Investigator Grant (2012) Publications highlight advancements in quantum photonics , polariton condensation , and chiral light-matter interactions , with recent works on electrostatic control of polaritons and topological waveguides . His collaborations span institutions in the UK, EU, and beyond, emphasizing nano-photonic device fabrication and quantum information applications.
Rainer Martin is a Professor of Information Technology and Communication Acoustics at Ruhr-Universität Bochum, where he has been affiliated since 2003. He served as Dean of the Faculty of Electrical Engineering and Information Sciences from 2007 to 2009. He holds a Dipl.-Ing. and Dr.-Ing. from RWTH Aachen University and an M.S.E.E. from Georgia Institute of Technology. His research focuses on signal processing, machine learning, and acoustic systems for voice communication, hearing instruments, and human-machine interfaces. Key areas include speech enhancement, noise reduction, binaural processing, cochlear implant optimization, and acoustic sensor networks. His work integrates deep learning with traditional signal processing for real-world applications. Recent publications emphasize neural networks for noise control, hearing aid algorithms, radar interference mitigation, and auditory perception modeling. Trends show strong convergence of machine learning with acoustic engineering, particularly in low-power embedded systems and healthcare applications. Awards: Fellow of the IEEE He leads projects on acoustic sensor networks, automotive radar, and hearing technology, collaborating with industry partners. His lab develops algorithms for hearing aids, cochlear implants, and robust communication systems, with patents spanning noise reduction, echo control, and speech enhancement.
Jari Lietzen serves as a Postdoctoral Researcher within the Department of Information and Communications Engineering at Aalto University, Finland, actively contributing to the Communication Engineering research group. His work focuses on pioneering ultra-low-power communication solutions for next-generation wireless networks, particularly through backscatter technologies that enable battery-free device operation by harvesting ambient energy. His research spans critical domains including Backscatter Communications for Ambient IoT, Physical Layer Security mechanisms like secret key generation, Visible Light Communication integration, and Quantum-Enhanced Wireless Systems. He investigates thin-film device fabrication using additive manufacturing, polarization conversion techniques, and reconfigurable intelligent surfaces for harmonic beam steering, addressing fundamental challenges in energy efficiency and security for constrained IoT environments. Analysis of his 13 publications (2018-2024) reveals a cohesive research trajectory centered on backscatter communications evolution. Key trends include the shift from foundational quantum backscatter paradigms (2018) toward practical hardware implementations like light-controlled thin-film devices (2024) and multi-antenna integrated systems. His work consistently bridges theoretical advances in physical layer security with experimental validation, demonstrating expertise in Sub-1GHz radio systems, satellite communications security, and hybrid VLC-backscatter architectures for ambient IoT. Within Aalto University's Communication Engineering group, Lietzen collaborates extensively on experimental projects involving prototype development and link budget validation, with strong partnerships including Boxuan Xie, Kalle Ruttik, and Riku Jäntti. His research directly supports emerging 6G technologies through innovations in passive wireless infrastructure and quantum-inspired communication protocols.
Professor John Cosmas is a leading academic in digital media and broadcast networks at Brunel University London, within the College of Engineering, Design and Physical Sciences. He earned a BEng in Electronic Engineering (1978) from Liverpool University and a PhD in Image Processing (1987) from Imperial College, following industrial roles at Tube Investments and Fairchild Camera. His research spans 5G, Internet of Radio Light (IoRL), and convergence of broadcast/telecom networks. 2006-2008: PLUTO (530K EU project) 2004-2005: INSTINCT (750K EU project) 2000-2001: SAMBITS (250K EU project) His work integrates architectural and electronic design for radio-light networks in smart homes/museums, with recent focus on tactile internet and tele-surgery applications. Over 150 publications and supervision of 20+ PhD students highlight his impact in: 5G/Tactile Internet Antenna & Coverage Optimization Cultural Heritage Multimedia He has served as Associate Editor for IEEE Transactions on Broadcasting since 2006 and chairs IEEE symposia globally. His students now lead projects in 5G, IoT, and network management.
Malcolm Gray is an Associate Professor at the Australian National University (ANU), working within the Centre for Gravitational Astrophysics in the College of Science. His research spans gravitational wave detection, precision optical measurement, and fiber optic sensor development, with significant contributions to major international collaborations including LIGO and GEO 600. Gray's research interests focus on the development of advanced optical techniques for gravitational wave astronomy and precision sensing applications. His work encompasses laser interferometry, quantum optics, and fiber optic sensor technologies, with particular expertise in overcoming fundamental noise limitations in precision measurements. He has made substantial contributions to gravitational wave detector technology, including work on power recycling, resonant sideband extraction, and thermal noise characterization in interferometric systems. His publication record reveals an evolution from fundamental gravitational wave detection techniques toward practical optical sensing applications. Early work focused on gravitational wave detector configurations and thermal noise experiments, while more recent publications demonstrate applications in molecular dispersion spectroscopy, fiber optic sensing, and noise-limited measurement systems. This trajectory shows a consistent theme of pushing precision measurement boundaries across multiple domains. As a key member of the Australian Consortium for Interferometric Gravitational Astronomy (ACIGA) and collaborator with the LIGO Scientific Collaboration, Gray has contributed to numerous detector characterization and enhancement projects. His work often involves interdisciplinary teams spanning physics, engineering, and astronomy disciplines, reflecting the collaborative nature of modern gravitational wave research. Gray maintains active research in both gravitational wave astronomy and optical sensing applications, with recent work demonstrating innovative approaches to molecular spectroscopy using digitally enhanced fiber systems. His research continues to bridge fundamental physics with practical measurement technology development.
Marco Lanuzza is an Associate Professor in the scientific disciplinary sector ING-INF/01-Electronics at the Department of Computer Engineering, Modeling, Electronics, and Systems (DIMES) at the University of Calabria. He obtained his degree and Ph.D. in Electronic Engineering from the "Mediterranea" University of Reggio Calabria in 2000 and 2005, respectively, and has taught at the University of Calabria and other institutions since 2005-06. He holds the National Scientific Qualification for Full Professor in Electronics (2019) and is a Senior Member of IEEE (2016). Education: Electronic Engineering (110/110), Ph.D. in Electronic Engineering Research Focus: Low-power/high-speed CMOS circuits, reconfigurable circuits, nanotechnology optimization Editorial Roles: Associate Editor for Elsevier's 'Integration, the VLSI Journal' and Wiley's 'International Journal of Circuit Theory and Applications' His research spans circuit design, nanotechnology validation, and applications in signal processing and IoT. Recent publications highlight innovations in content-addressable memory, PUF architectures, and STT-MRAM for in-memory computing. Key subfields include energy-efficient memory systems, hardware security, and cryogenic electronics. Scientific Awards: Senior Member of IEEE (2016) National Scientific Qualification for Full Professor (09/E3 - Electronics, 2019) Associate Editor for two major journals Marco Lanuzza contributes extensively to international conferences as Program Chair and TPC Member. He is part of the Nanoelettronica e Microsistemi research group at DIMES, focusing on multidisciplinary electronic systems and sensor design.
Dr. Quynh Ngo is a Postdoctoral Research Fellow in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS), within the Faculty of Engineering and Information Technology. Her research focuses on satellite networks, vehicular ad-hoc networks (VANETs), IoT networks, cybersecurity, and machine learning applications in wireless communication. She holds a PhD in Computer Science from La Trobe University (2023), an M.Sc. in Telecommunications from Vietnam National University (2016), a B.Sc. in Electrical Engineering from California State University (2013), and a B.Eng. in Mechanical Engineering from Vietnam National University (2008). Her doctoral thesis was nominated for the Nancy Millis Award for exceptional research. Her work addresses critical challenges in 6G satellite integration, including intersystem interference in GEO-LEO networks, Doppler shift mitigation, and spectrum sensing. She employs machine learning and deep reinforcement learning to optimize beam design, power allocation, and resource management. Dr. Ngo has been awarded scholarships and grants from NASA, the Norwegian-Vietnamese Industrial & Infrastructure Safety Consortium, and La Trobe University. She has over five years of teaching experience in electronics, communications, and cybersecurity, and actively serves as a reviewer for journals such as IEEE Transactions on Communications and conferences like the IEEE International Symposium on Communications and Information Technologies. Education: PhD in Computer Science, La Trobe University (2023) M.Sc. in Telecommunications, Vietnam National University (2016) B.Sc. in Electrical Engineering (Magna Cum Laude), California State University (2013) B.Eng. in Mechanical Engineering, Vietnam National University (2008) Key Research Themes: Satellite-terrestrial hybrid networks Intelligent non-terrestrial networks (NTN) Cybersecurity in wireless systems Machine learning for network optimization Awards: NASA-JPL Undergraduate Scholar La Trobe University Postgraduate Research Scholarship Net Zero Scholarship Advising & Grants: Focuses on funded projects related to vehicular ad-hoc networks, IoT, and non-terrestrial networks Experience in securing research grants and industry collaborations
Professor Cathryn Trott is a leading academic in radio astronomy at Curtin University, holding roles in the Curtin Research Institute and Curtin Institute of Radio Astronomy (CIRA). She serves as the Deputy Director and Chief Investigator (Curtin Node Leader) for ARC CoE All-Sky Astrophysics in 3D (ASTRO 3D), and has a part-time secondment as ATNF Chief Scientist at CSIRO. Her education includes a PhD from the University of Melbourne (2005) and a BSc (Honours H1) from the same university (2001). Professor Trott has held significant leadership roles, including President of the Astronomical Society of Australia (2019–2021) and Board Member of the Murchison Widefield Array (MWA). She is actively involved in the design and data analysis of the Square Kilometre Array (SKA) and its precursors, focusing on Epoch of Reionization (EoR) and Cosmic Dawn experiments. Her research emphasizes signal processing, calibration of radio interferometers, and mitigating systematics in cosmological observations. She has secured substantial grants, including ARC DECRA ($325k) and ARC Future Fellowships ($855k). Professor Trott collaborates globally, contributing to the SKA EoR/CD Science Working Group and IEEE. She also teaches advanced astronomy modules and has affiliations across Curtin University's global campuses. Research interests include signal estimation, radio source modeling, and interferometry. Key projects involve leading the ICRAR EoR initiative, optimizing the MWA, and preparing for the SKA. She has pioneered calibration methods and foreground subtraction techniques critical for EoR studies. Awards include Fellowships from the Australian Institute of Physics (FAIP) and Astronomical Society of Australia (FASA), along with executive training from the Australian Institute of Company Directors (GAICD).
Maire O'Neill is a Professor at the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast, affiliated with the Secure Digital Systems (SDS) group and the Institute of Electronics, Communications & Information Technology (ECIT). Her research focuses on hardware security, cryptography, and secure embedded systems. She has held significant leadership roles and pioneered work in FPGA security, approximate computing, and post-quantum cryptography. Dr. O'Neill's academic journey includes over 20 years of contributions to secure digital systems, with a particular emphasis on cryptographic hardware, side-channel analysis, and IoT security. She has led major research projects such as the EU-funded 'TruDetect' initiative for hardware Trojan detection and the 'Secure IoT Processor Platform' project. Her work bridges theoretical research with practical applications, emphasizing real-world security challenges in electronics and computing. Education: Background in electrical engineering and computer science (details not explicitly stated in the text) Research Interests: Her work spans hardware security primitives, FPGA-based cryptographic solutions, and energy-efficient computing. She explores vulnerabilities like Rowhammer attacks and side-channel leaks while developing defenses through approximate computing and machine learning techniques. Her research addresses emerging threats in IoT, 5G networks, and post-quantum cryptography. Publications Trends: Recent work emphasizes machine learning applications in security (e.g., ML-KEM accelerator designs), hardware Trojan detection, and energy-efficient approximate computing. She frequently publishes in top-tier venues like IEEE Transactions and ACM conferences, with a focus on practical implementations and FPGA demonstrators. Awards: 2007: BFIIN ITEC Platinum Award, British Female Inventor of the Year, European Union Women Innovators 2015: Fellow of the Irish Academy of Engineering 2015: INVENT Award for collaborative innovation Advising & Grants: Supervised 8 PhD students (explicitly stated). Active in securing research grants (18 projects listed), including EU and industry collaborations. Engages in academic service roles like IEEE Distinguished Lecturer and international conference organization. Labs/Teams: Leads the Secure Digital Systems (SDS) group, collaborating with global partners on hardware security and IoT initiatives. Maintains strong ties with industry through projects like NIO New Deal Cyber Bid and TruDetect.
Li-minn Ang (Kenneth) is Professor of Electrical and Computer Engineering at the University of the Sunshine Coast's School of Science and Engineering. His research integrates Internet of Things (IoT), machine learning, and embedded systems for applications in smart cities, agriculture, and health. He has secured over $1.8 million in research grants and published three books with 180+ papers. Current projects develop application-specific IoT architectures and multimodal analytics for big data systems. Professor Ang teaches Internet of Things (ENG103), Applied Mathematics (MTH103), and Calculus (MTH104), serving as program coordinator for Electrical Engineering. Professional memberships include Senior IEEE status and HEA Fellowship. Laboratory resources support FPGA development, sensor networks, and IoT prototyping.
Sanja Aleksic is an Associate Professor at the Faculty of Electronic Engineering, University of Nis, specializing in Microelectronics and Microsystems. Her academic career began with a Physics degree from the Faculty of Philosophy in Nis (1995), followed by a Master's (2009) and PhD (2015) in Applied Physics from her current faculty. Her research focuses on semiconductor materials, photoacoustic spectroscopy, and electronic device modeling. She has published extensively in peer-reviewed journals, with 9 papers indexed with impact factors. Her work bridges applied physics and engineering, particularly in analyzing thermal and elastic properties of materials using advanced techniques like photoacoustic analysis and neural network modeling. Education: Bachelor's in Physics, Faculty of Philosophy, University of Nis (1995) Master's in Applied Physics, Faculty of Electronic Engineering, University of Nis (2009) PhD in Applied Physics, Faculty of Electronic Engineering, University of Nis (2015) Research Interests: Microelectronics, semiconductor characterization, thermoelastic effects, photoacoustic signal analysis, and material property modeling. Notably, her work employs electro-acoustic analogies to study silicon and TiO₂-coated materials, as well as neural network approaches for high electric field stress modeling in VDMOSFETs. Her recent studies (2020–2025) emphasize cutting-edge topics like solar parking canopy optimization and biomarker-based clinical outcomes in pandemic scenarios. Publications: Over 30 peer-reviewed articles, with a focus on photoacoustic techniques, semiconductor device simulation, and energy systems. Her work spans journals like Journal of Applied Physics , International Journal of Thermophysics , and Journal of Computational Electronics . Key themes include material property extraction, thermal-mechanical coupling, and sustainable energy solutions. Awards: None explicitly listed in provided texts. Labs/Teams: Engaged in interdisciplinary research at the Faculty of Electronic Engineering, collaborating on projects involving material characterization, renewable energy systems, and bio-medical applications. Active in both national and international research networks, though specific lab affiliations are not detailed here.
Scott Kovaleski is Professor of Electrical Engineering and Computer Science at the University of Missouri. He holds a Ph.D. and M.S.E. from the University of Michigan and a B.S. from Purdue University. His research develops charged particle sources, electromagnetic systems, and nanofabrication methods using pulsed power and computational techniques. Current projects focus on piezoelectric-driven particle accelerators, metamaterial design optimization, and carbon nanotube electron sources. His laboratory advances compact radiation sources and computational methods for electromagnetic simulations. Recent publications demonstrate growing integration of deep learning in optical metasurface design and electromagnetic modeling. Key themes include physics-informed neural networks for inverse design, nanofabrication techniques, and vacuum electronics applications. His federally funded projects include research in charged particle generation, electromagnetics simulation, and pulsed power systems. Laboratory capabilities include computational modeling and experimental validation of particle acceleration systems.
Dr. Kemal Akkaya is a Professor at the Department of Electrical & Computer Engineering, Florida International University (FIU), where he leads the Advanced Wireless and Security Lab (ADWISE). He holds a Ph.D. in Computer Science from the University of Maryland Baltimore County and has expertise in Network Security, IoT/CPS Security, Blockchain Applications, and 5G Security. His professional roles include serving as Research Director for FIU’s Emerging Preeminent Program in Cybersecurity and as Program Director for the first BS degree in IoT in the U.S. Education: Ph.D. in Computer Science, University of Maryland Baltimore County M.S. in Computer Engineering, Middle-East Technical University, Turkey B.S. in Computer Science, Bilkent University, Turkey Research Interests: Dr. Akkaya focuses on securing IoT and cyber-physical systems, blockchain for micro-payments, and network defense mechanisms. His work emphasizes privacy-aware protocols, secure key management, and SDN/NFV-based solutions. Awards: FIU Faculty Senate Excellence in Research Award (2020) College of Engineering and Computing Faculty Research Award (2020) Top Cited Article Award from Elsevier (2010) Advisees and Grants: While no student names are listed, his lab (ADWISE) likely supports graduate research in IoT and cybersecurity. His grants include interdisciplinary initiatives at FIU, focusing on securing emerging technologies like 5G and blockchain. Labs/Teams: Leads the ADWISE Lab, collaborating on projects like secure IoT payment systems, drone communication security, and resilient smart grid networks.
