Dr. Alexander Bertrand is a Professor at the Faculty of Engineering Sciences , KU Leuven, heading the Dynamic Systems, Signal Processing and Data Analysis (STADIUS) division. He leads the Department of Electrical Engineering (ESAT) and contributes to Leuven.AI institute, with expertise spanning wireless sensor networks, brain-computer interfaces (BCI), and biomedical signal processing. Research Focus : Wireless acoustic/EEG sensor networks, distributed signal enhancement, adaptive filtering, neural decoding of auditory/visual attention, and AI-driven time series analysis. Key Projects : EEG-Linx platform for modular brain recordings (2025-2027) Calibration-free BCI systems (2025-2029) AI quality assessment for time series data (2024-2028) Wireless EEG patches for hearing technology (2024) Publications (2023-2025) demonstrate leadership in distributed signal processing , auditory attention BCI , and scalable sensor architectures , with applications in education, healthcare, and wearable tech. Teaching includes courses on digital signal processing, biomedical data analysis, and medical technology design.
Andrea M. Tonello is a Full Professor at the Institute of Networked and Embedded Systems, University of Klagenfurt, Austria, where he chairs the Embedded Communication Systems Lab. He previously held positions at the University of Udine, Italy, where he was an Associate Professor and founded the Wireless and Power Line Communication Lab (WiPLi Lab). His research spans power line communications, wireless systems, embedded communications, smart grids, and machine learning applications in signal processing. Doctor of Engineering, University of Padova (1996) Doctor of Research, Telecommunications, University of Padova (2003) His research interests focus on next-generation communication systems, including power line and wireless networks, signal processing, machine learning for communications, UAV systems, and smart grid technologies. He has made significant contributions to PLC channel modeling, full-duplex communications, and information-theoretic learning for communication systems. His work integrates theoretical innovation with practical implementation in real-world networks. The most recent publications highlight a strong trend toward integrating machine learning and information theory into communication systems, particularly in power line and wireless networks. Themes include f-divergence based classification, mutual information estimation, neural decoding (MIND), noise-robust receivers, and topology-aware machine learning for PLC quality prediction. There is also a notable focus on UAV control, full-duplex PLC, and digital pre-distortion techniques for high-speed converters. IET 2016 Premium Award Best Paper Award, ISPLC 2016 Best Student Paper Award, ISPLC 2016 Aerospace Best Paper Award, 2018 Best Paper Award, ISPLC 2021 Best PhD Dissertation Award, 2019 IEEE ComSoc Distinguished Lecturer (2018) Two Awards from IEEE ComSoc TC-PLC (2019) University of Klagenfurt Technology Scholarships (2019) Dr. Tonello has supervised numerous PhD and Master’s students, including notable advisees such as Nunzio A. Letizia, Davide Righini, and Babak Salamat. He has led over 10 institutional and multiple industrial research projects with a total funding exceeding 20 million euros. He played a key role in promoting international academic collaboration, including Erasmus agreements, joint PhD programs with INSA Rennes and Ecole Polytechnique de Grenoble, and a joint master’s program with the University of Klagenfurt. He founded and led the WiPLi Lab at the University of Udine, which received around 3 million euros in funding and involved over 60 researchers and students. He also founded WiTiKee s.r.l., a spin-off company specializing in PLC for smart grids. Currently, he chairs the Embedded Communication Systems Lab at the University of Klagenfurt, focusing on next-generation networked and embedded communication technologies.
Dr. Burak Acar is a Research Assistant at Istanbul Technical University's Department of Electronics and Communication Engineering within the College of Engineering. His work focuses on hardware security, random number generation, and cryptographic circuit design. Specializes in FPGA-based security systems Expertise in transient effect analysis for cryptographic applications Active participant in IEEE symposia and technical committees Research interests center around hardware security and digital circuit design, with specific emphasis on: Random number generation techniques Cryptanalysis of oscillator-based systems Transient effect utilization in security applications Reconfigurable hardware implementations Digital circuit resilience against attacks Irregular sampling methodologies His research outputs from 2018-2020 demonstrate consistent contributions to IEEE conferences and journals, particularly in the areas of hardware cryptography and digital circuit security.
Dr. Emre Araci is an Associate Professor in the Department of Bioengineering at Santa Clara University , where he has conducted pioneering research in microfluidics and biowearables since 2015. His work bridges fluid physics , human biomechanics , and wearable sensor design , with applications in physical rehabilitation , sports medicine , and chronic disease management . Education : Ph.D. in Optical Sciences (University of Arizona, 2010), M.Sc. in Electrical Engineering (Ege University, 2002), B.S. in Electrical Engineering (Ege University, 1999) Dr. Araci specializes in capillaric circuits , human movement-driven micropumps , and skin-mountable biosensors . His lab develops mVLSI technology for automated biochemical analysis and implantable sensors for glaucoma monitoring. Recent work focuses on wireless data transfer and energy-efficient wearables that interface with smartwatches. Key publication trends include microfluidic device innovation , human-centric sensing , and medical diagnostics . His research has been cited in journals like Nature Medicine and Advanced Materials Technologies , with media coverage from Forbes and ABC7 . Scientific Awards : NSF CAREER Award (2021), Researcher of the Year (SCU School of Engineering, 2022) As founder of Smartlens Inc. , Dr. Araci has commercialized contact lens pressure sensors through Series A funding (2023). He mentors students in microfabrication , capillaric device design , and digital image correlation techniques, contributing to advancements in biomechanical sensing and fluidic automation .
Miguel A. Nunes serves as Assistant Researcher and Deputy Director at the Hawaiʻi Space Flight Laboratory (HSFL) within the University of Hawaiʻi at Mānoa's College of Engineering. Specializing in small satellite design and multi-agent robotic systems , he leads systems engineering for missions like Neutron-1 and HyTI, while teaching space systems design in programs including the Vertical Integrated Project Aerospace Technologies and Earth and Planetary Exploration Technology (EPET) capstone courses. PhD in Aerospace Engineering (2010) focusing on autonomous satellite swarm control Developed COSMOS mission operations system for managing multiple spacecraft Key work in thermal control systems for hyperspectral imagers and satellite constellations His 10+ years of subsystem expertise spans ADCS, OBC, flight software, and radio communications. Recent publications highlight advancements in T2SL detector arrays and active thermal management for CubeSats. As Deputy-PI for HyTI mission, he contributes to volcanic monitoring and agricultural sensing applications through high-resolution thermal imaging. Research trends show consistent focus on distributed satellite systems and autonomous operations , transitioning from foundational work on multi-agent control to current applications in Earth observation constellations . His collaborations span JPL, NASA, and Saraniasat Inc., with technical contributions to 6U CubeSat standardization and onboard computing architectures.
Dr. King Yuk (Eric) Chan is a Lecturer at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney, Australia. He received his B.S., M.S., and Ph.D. degrees in Electrical Engineering from UNSW in 2005, 2007, and 2011 respectively. Prior to joining UNSW as faculty, he worked as a research assistant at the Centre for Integrated RF Engineering (CIRFE) at the University of Waterloo (2008-2009) and as a post-doctoral fellow at the ICT Centre, CSIRO (2011-2013). His educational background includes: Doctor of Philosophy in Electrical Engineering, UNSW, Sydney (2011) Master of Engineering Science, Electrical Engineering, UNSW, Sydney (2007) Bachelor of Electrical Engineering (First Class Honor), UNSW, Sydney (2005) Dr. Chan's research spans microwave engineering, RF MEMS technology, antenna design, and 3D printing applications for microwave devices. His work focuses on the design, characterization, and fabrication of front-end devices with operating frequencies ranging from RF to terahertz, with significant contributions to reconfigurable microwave circuits and innovative fabrication techniques. His recent publications demonstrate a strong trend toward integrating 3D printing technology with traditional microwave engineering, particularly for waveguide components and antenna systems. His research shows increasing focus on practical applications in wireless communications, with emphasis on beam steering, polarization control, and size reduction of microwave components. Dr. Chan has received numerous awards and recognitions for his work: IEEE International Microwave Symposium (IMS) 2008, Best Student Paper Award IEEE Mediterranean Microwave Symposium (MMS) 2009, Best Student Paper Award Australian Postgraduate Research Scholarship 2006 – 2010 Workshop on Applications of Radio Science 2010, Best Student Award UNSW Post-doctoral Writing Fellowship 2010 BIT's 2nd Annual World Congress of Nanoscience and Nanotechnology 2012, Keynote Speaker As a Chief Investigator, Dr. Chan has secured significant research funding, including an ARC Discovery Project (DP200103127) titled "New Era of High-Performance Microwave Devices" ($431,000 over 3 years) and an NHMRC Project Grant (APP1156997) on radiofrequency electromagnetic energy effects ($423,000 over 3 years). He serves as a reviewer for top-tier journals including IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Antennas and Propagation, and has been a member of the reviewer board for MDPI Sensors since 2020. Dr. Chan is actively involved in the IEEE Microwave Theory and Techniques Society (MTT-S) and IEEE Antennas and Propagation Society (AP-S), contributing to the advancement of microwave engineering through research, publication, and professional service.
Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.
Berberidis Kostas is a Professor at the University of Patras, Department of Computer Engineering and Informatics. His academic work focuses on Information Processing over Networks , Adaptive Signal Processing , and Wireless Communications . He is affiliated with the Division of Hardware and Computer Architecture. Specialized in Statistical Learning and Distributed Information Processing Contributed to advancements in Signal Processing for Communications and Array Signal Processing Notable research areas include: Adaptive and distributed learning algorithms Wireless channel equalization and relaying Hyperspectral and biomedical image processing Resource allocation with security constraints Recent publications cover topics like blind hyperspectral unmixing , secure resource allocation , and FIR filter optimization , reflecting his interdisciplinary focus on signal processing, communications, and computational imaging.
Dr. Toros Arikan is an Assistant Professor in the Department of Electrical Engineering at the University of Notre Dame's College of Engineering. His research focuses on signal processing for remote sensing applications, with particular emphasis on underwater acoustics and indoor radio frequency systems. He applies deep learning techniques to solve complex problems in environmental mapping, localization, and tracking. B.S., M.S., and Ph.D. in Electrical and Electronics Engineering from University of Illinois Urbana-Champaign and Massachusetts Institute of Technology Professor Arikan's work addresses fundamental challenges in underwater acoustic localization, reverberant environment modeling, and challenging-environment communications. His recent publications highlight neural network-based solutions for Steiner minimum trees and boundary estimation problems. His research on HF communications systems spans topics including low-latency transmission, Doppler tolerance, and modem design for underwater applications. Earlier work includes biomedical ultrasound signal processing for blood velocity estimation.
Samel Arslanagic is an Associate Professor and Head of the Electromagnetic Systems group at the Department of Space Research and Technology, Technical University of Denmark. His expertise spans antenna engineering, metasurfaces, and microwave technologies, with a focus on advanced measurement techniques and electromagnetic wave control. Lead supervisor for multiple PhD projects on near-field antenna measurements and nano-photonic circuits. Active in developing water-based microwave devices and dielectric resonators for directional scattering. Key contributor to ESA-EurAAP facility comparison campaigns for mm-wave antenna validation. Research interests include metasurface design , bound states in the continuum , all-dielectric materials , and novel antenna architectures . His work bridges theoretical modeling with experimental validation in electromagnetic systems. Recent publications emphasize dielectric metasurfaces , spherical near-field measurement accuracy , and quantum-enhanced nanoantennas . He employs computational methods like finite element analysis and eigenmode decomposition for material parameter extraction and field averaging. He supervises interdisciplinary projects involving optical communication , microwave sensing , and acoustic imaging , often in collaboration with European examiners and industry partners.
Serkan KESER is an Associate Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering and Architecture, Ahi Evran University, Turkey. He has been serving as a full-time faculty member since 2018 and previously served as Head of Department from 2018-2021. His educational background includes a PhD in Electrical and Electronics Engineering from Eskişehir Osmangazi University (2009-2018), a Master's degree in the same field from the same institution (2005-2008), and a Bachelor's degree in Electrical and Electronics Engineering from Mustafa Kemal University (1999-2005). Dr. KESER's research focuses on three main areas: Audio and Speech Processing : Including speaker identification, isolated word recognition, and speech coding techniques Signal Processing : With applications in fiber optic sensor systems and acoustic positioning Image Processing : Covering face recognition, image compression, and denoising techniques His recent publications demonstrate a strong trend toward integrating machine learning and deep learning approaches with traditional signal processing methods. He has made significant contributions in applying subspace methods to various domains including speech recognition, image processing, and sensor technologies. His work often bridges theoretical signal processing concepts with practical applications in areas like smart home systems, medical imaging, and environmental monitoring. Dr. KESER has successfully supervised five Master's students to completion, with thesis topics spanning deep learning applications for class attendance systems, photovoltaic systems, speaker identification, brain tumor classification, and speech-controlled robotic arms. He has led four research projects, including development of fiber optic motion sensors, smart home models using Arduino microcontrollers, and science outreach initiatives. His teaching portfolio includes advanced courses in digital image processing, artificial neural networks, digital signal processing, and machine learning at both undergraduate and graduate levels. Dr. KESER's research impact is reflected in his publication metrics: 30 total publications with 117 citations (h-index 5) through the UNIS system, 25 publications with 180 citations (h-index 6) on Google Scholar, and strong representation in Scopus and Web of Science databases.
Ingrid Heynderickx is a Full Professor in Applied Visual Perception at the Human-Technology Interaction group within the Industrial Engineering and Innovation Sciences department at Eindhoven University of Technology. She serves as Dean of her department and holds a Visiting Research Professor position at Southeast University of Nanjing (China). Her career spans academic and industrial research, focusing on display optimization, lighting systems, and individual visual differences. PhD in Physics (University of Antwerp, 1986) Philips Research Laboratories (1987-2005, promoted to Research Fellow in 2005) Part-time Full Professor at Delft University of Technology (2005-2013) Full Professor at Eindhoven University of Technology (2013-present) Dean of Industrial Engineering and Innovation Sciences (2023-present) Her research examines rendering fidelity vs. preference in lighting and displays, with emphasis on age and cultural differences in visual perception. She investigates applications in: Office and residential lighting optimization 3D display technology Temporal light artifacts (Phantom Array Effect, stroboscopic effects) Age-related vision and adaptive lighting Cross-cultural lighting preferences Recent publications focus on: Visibility metrics for lighting artifacts Color temperature effects on reading tasks Road lighting contrast thresholds Biological potency in LED sources Scientific awards include: Otto Shade Prize (SID, 2015) Fellow of the Society for Information Displays (SID) She supervises research projects like Chips JU LoLiPoP-IoT and Brainbridge, and collaborates with institutions in China, The Netherlands, and internationally.
Professor Wim N. Brouw is a faculty member at the Kapteyn Astronomical Institute within the Faculty of Science and Engineering at the University of Groningen. His research primarily focuses on radio astronomy using the LOFAR (Low-Frequency Array) telescope, with expertise in calibration techniques, high-resolution imaging, and observations of various astronomical phenomena across multiple international collaborations. Prof. Brouw's research interests span several key areas in radio astronomy. He specializes in the development and application of advanced calibration techniques for radio interferometry, particularly for the LOFAR telescope. His work includes high-resolution imaging at low radio frequencies, studies of supernova remnants like Cassiopeia A, Cygnus A, Taurus A, and Virgo A, investigations into the physics of radio emissions from various cosmic sources, and contributions to multi-messenger astronomy through follow-up observations of gravitational wave events. His research has significantly advanced the capabilities of low-frequency radio astronomy. Analysis of Prof. Brouw's recent publications reveals a strong focus on advancing the LOFAR telescope's capabilities for sub-arcsecond imaging. His work spans from foundational calibration strategies to specific astronomical observations, demonstrating both technical expertise in radio interferometry and deep knowledge of various astronomical phenomena. The research shows a clear progression toward higher resolution and more sensitive observations at low radio frequencies, enabling new discoveries in cosmic structure and evolution. Prof. Brouw has contributed to significant collaborative projects in radio astronomy, working with international teams on LOFAR observations and data analysis. His work appears in leading astronomy journals including Astronomy & Astrophysics and Nature, reflecting the high impact of his research. He has also contributed to important datasets including the LOFAR Bootes and 3C295 field sources, CasA/CygA/TauA/VirA models at various frequencies, and the LOFAR Long-Baseline Calibrator Survey. As an active researcher, Prof. Brouw maintains collaborations across the global astronomy community, contributing to both technical advancements in observational methods and substantive discoveries about cosmic phenomena. His work continues to influence the field of radio astronomy through innovative approaches to data collection, processing, and interpretation.
Dr. Vishambhar Pandey is a researcher in the Astronomy department at the Faculty of Science and Engineering, University of Groningen. With a substantial publication record spanning multiple years, his work focuses on radio astronomy using the LOFAR (Low-Frequency Array) telescope, particularly in the areas of 21-cm signal detection, cosmic reionization, and radio interferometric techniques. His research interests center around Radio Astronomy , Cosmology , and 21-cm Signal observations, with specific expertise in LOFAR data analysis, power spectrum measurements, and calibration techniques for low-frequency radio observations. His work often addresses challenges in detecting the faint cosmological 21-cm signal against bright foregrounds and systematic effects. Dr. Pandey's recent publications show a consistent focus on advancing techniques for 21-cm cosmology with LOFAR, particularly in addressing radio frequency interference, calibration challenges, and systematic effects that impact the detection of the cosmological signal. His work spans observational studies, data analysis methods, and theoretical interpretations of results in the context of cosmic reionization. As a contributor to numerous collaborative projects including the LOFAR Long-Baseline Calibrator Survey and various LOFAR data products, Dr. Pandey has played significant roles in developing calibration strategies and analyzing complex radio astronomy datasets.
Murat Uysal is a Professor and Founding Chair of Electrical and Electronics Engineering at Özyeğin University, Istanbul, Turkey. He serves as Founding Director of the Center of Excellence in Optical Wireless Communication Technologies (OKATEM) and leads the CT&T Research Group. Previously, he was a tenured Associate Professor at University of Waterloo, Canada. B.Sc., M.Sc., and Ph.D. in Electrical/Electronics Engineering from Istanbul Technical University and Texas A&M Specializes in wireless and optical communication theory, with 400+ publications and 17,000+ citations Holds 3 US patents in vehicular and visible light communication Research focuses on physical layer aspects of wireless systems across radio and optical bands, including: Underwater and vehicular visible light communication Free space optical systems with UAV support Cooperative communication and diversity techniques Channel modeling for Li-Fi and industrial environments Recent publications show strong emphasis on: Underwater optical communication optimization UAV-assisted FSO systems LED response modeling for VLC Multi-hop relay systems Key scientific awards include: IEEE Fellow (2019) NSERC Discovery Accelerator Award Turkish Academy of Sciences Distinguished Young Scientist Award Multiple IEEE Best Paper Awards Advises 14 graduate students across M.Sc. and Ph.D. programs. His research group maintains collaborations with: IEEE Transactions on Communications (Area Editor) IEEE standards development (802.11bb, 802.15.7r1) Hyperion Technologies (co-founder)
