Find Academic Supervisors

• Metamaterials
• UWB Communications
• Magnetoinductive Waves
• +5 more

Chris Stevens is an Associate Professor of Engineering Science at the University of Oxford and a Fellow of St Hugh's College. His research focuses on metamaterials, magnetoinductive wave systems, and wireless power transfer technologies. He holds a BA and DPhil from Oxford and has pioneered innovations in ultra-wideband (UWB) communications and sensor development. Stevens has founded three technology spinouts in medical imaging, surveying, and wireless power transfer. His work bridges fundamental physics with practical applications, including bio-tracking systems for insects/birds (BioTracks) and secure non-quantum communication frameworks. Education: BA and DPhil in Engineering from the University of Oxford. Research Interests: Stevens' expertise spans metamaterial physics, magnetoinductive wave engineering, and RF systems. He explores novel applications like contactless conductivity sensors, programmable meta-molecular devices, and 3D-printed electromagnetic structures. His work on tunable metamaterials has led to advances in dispersion control and reconfigurable antennas. Current projects include 2D localization via metasurfaces and secure radio frequency key distribution systems. Notable Contributions: Pioneered magnetoinductive waveguides for wireless power transfer, developed meta-material position sensors, and created bio-tracking systems using RF tags. His 2022 review on 3D-printed metamaterials highlights additive manufacturing advancements. Stevens' 2021 sabbatical involved sailing across the Atlantic, reflecting his passion for exploration beyond academia. Grants & Advising: While specific grants are not detailed, his extensive publications and spinouts indicate significant research funding. No formal student advisees are listed. Lab/Teams: Collaborates with the Oxford Engineering Science Department and spinout companies. Active in metamaterials fabrication and RF systems development.

Alexios Balatsoukas-StimmingView profile

Assistant Professor

• VLSI Circuits for Communications
• Error-Correction Coding Theory
• Non-Linear Signal Processing
• +3 more

Dr. Alexios Balatsoukas-Stimming is an Assistant Professor in the Electronic Systems group of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). His research focuses on the intersection of communications, hardware design, and machine learning, with specific interests in VLSI circuits for communications, error-correction coding, non-linear signal processing, and massive MIMO systems. He also explores applications of approximate computing and machine learning in communication signal processing. Education: Dipl.-Ing. (2010) Electronics and Computer Engineering, Technical University of Crete MSc (2012) Electronics and Computer Engineering, Technical University of Crete PhD (2016) Computer and Communications Sciences, École polytechnique fédérale de Lausanne (EPFL) Research Interests: His work emphasizes interdisciplinary approaches to improve communication systems' speed, reliability, and energy efficiency. Key areas include VLSI implementation of coding algorithms, belief propagation decoding, and leveraging machine learning for signal processing tasks. He has contributed to advancements in polar codes, LDPC codes, and full-duplex communication systems. Affiliations: Holds an honorary adjunct assistant professor position at Rice University (USA). Active in conferences and journals as a committee member, founding editor (IEEE journal), and reviewer. Labs/Teams: Associated with the Signal Processing for Communications Lab , Electronic Systems group, Center for Wireless Technology Eindhoven , and the EAISI initiative at TU/e.

Navid GhavamiView profile

Research Fellow

• Breast Imaging
• Microwave Imaging
• Clinical Trials
• +2 more

Navid Ghavami serves as a Visiting Fellow in the Department of Chemical and Energy Engineering within the School of Engineering at London South Bank University. His research focuses on advancing microwave imaging technologies for medical diagnostics, particularly through the MammoWave device for breast cancer detection and stroke classification systems. He actively contributes to clinical trials and algorithm development within the RadioSpin project framework. His primary research domains include breast imaging and microwave-based medical diagnostics , where he integrates machine learning with ultra-wideband radar systems to enhance detection accuracy. Current work emphasizes simulation modeling, clinical validation, and fusion techniques for improving lesion localization while reducing false positives in diagnostic workflows. Publication analysis reveals consistent contributions to microwave medical imaging, with recent work spanning breast cancer detection (2024-2025), stroke classification algorithms, and clinical trial methodologies. His interdisciplinary approach bridges biomedical engineering, signal processing, and clinical medicine, demonstrating strong collaboration with Professor Mohammad Ghavami's research group and international clinical partners.

Tadeusz TruskolaskiView profile

Professor

• Sustainable Development
• Fiscal Governance
• Local Development
• +2 more

Dr hab. Tadeusz Truskolaski, prof. UwB is a Professor at the University of Białystok, affiliated with the Department of Economic and Social Development within the Faculty of Economics and Finance. He serves as the Head of the Division of Local Development and Spatial Management. His research focuses on sustainable development, fiscal governance, and local economic strategies. He holds a prominent position in the academic community, contributing to institutional and research activities at the university. His work aligns with key areas such as regional development and cross-border cooperation, as highlighted by the faculty's research priorities.

Milica D. JovanovicView profile

Assistant Professor

• Wireless Sensor Networks
• Networks-on-Chip
• Communication Protocols
• +5 more

Milica D. Jovanovic is an Assistant Professor in the Department of Electronics at the Faculty of Electronics, University of Niš, Serbia. She has been with the institution since 2013, progressing from assistant trainee to her current academic rank, and holds a PhD earned in 2017 from the same faculty. PhD, Faculty of Electronics, University of Niš (2017) MSc, Microsystems Design and Engineering, Faculty of Electronics, University of Niš (2011) BSc, Computer Engineering and Informatics, Faculty of Electronics, University of Niš (2003) Her research centers on wireless sensor networks, networks-on-chip, and communication protocols, with a focus on MAC layer design, contention resolution, and indoor localization. She employs signal processing, fuzzy logic, and optimization techniques to enhance network performance and reliability. Her recent publications reflect a strong trend in improving communication efficiency and robustness in constrained environments such as wireless sensor networks and on-chip interconnects. Key themes include tone-based contention resolution, multi-channel MAC protocols, deflection routing, and UWB-based localization, placing her work at the intersection of embedded systems, networking, and signal processing. She is actively involved in one national and one international research project, contributing to both theoretical and applied aspects of electronic systems. Her work has appeared in high-impact journals including The Journal of Supercomputing , Expert Systems with Applications , and Computer Communications . She has collaborated extensively with researchers such as Igor Z. Stojanovic, Sandra Djosic, and Goran Lj. Djordjevic. While no formal advisees are listed, her involvement in doctoral studies and research projects suggests mentorship roles within her lab and department.

Горан Љ. ЂорђевићView profile

Professor

• Computer Networks
• Wireless Communications
• Localization Systems
• +3 more

Goran Lj. Djordjevic is a Professor at the Department of Electronics, Faculty of Electronic Engineering, University of Nis, Serbia. Appointed full professor in 2009 after progressive promotions from assistant professor (1999) to associate professor (2004), he represents a cornerstone of the institution where he completed all academic degrees. His three-decade career exemplifies deep institutional commitment and scholarly excellence in electronic engineering. His academic foundation was built entirely at the University of Nis: Diploma Engineer in Electronics (1989) Master of Science in Electronics (1994) Doctor of Philosophy in Electronics (1998) Professor Djordjevic's research forms three interconnected pillars: Networks-on-Chip (NoC) innovation with breakthroughs in deflection routing and port allocation; UWB localization systems solving multipath challenges in complex indoor environments through multi-algorithm fusion; and error control coding for storage systems with applications in optical media. His work consistently bridges theoretical rigor and practical implementation, evidenced by 22 impact-factor journal publications spanning VLSI design, wireless communications, and parallel computing. Analysis of his publication timeline reveals strategic evolution: recent work (2021-2022) focuses on real-world NoC optimization and robust indoor positioning, mid-career research (2015-2005) established CDMA bus architectures and fault-tolerance frameworks, while foundational contributions (2001, 1996) in constraint coding and task scheduling underpin his later breakthroughs. This trajectory demonstrates exceptional continuity in advancing communication reliability across hardware and software domains. Scientific recognition includes: No formal awards documented in source materials Regarding academic mentorship, while specific students aren't listed, his sustained research output implies active graduate supervision. Project funding shows zero current national grants, though international collaborations remain unspecified. His 22 impact-factor publications across IEEE, Elsevier, and Springer journals demonstrate consistent productivity through completed research initiatives, with recent work indicating ongoing laboratory activity in wireless and NoC domains.

• Signal Processing
• Robotics
• Biomedical Engineering
• +5 more

Salviano F. S. P. Soares is an Assistant Professor at the Engineering Department within the Science and Technology School at UTAD (Portugal), and a researcher at IEETA – Institute of Electronics and Telematics Engineering, University of Aveiro. His research focuses on signal processing, robotics, biomedical engineering, IoT systems, and their applications in healthcare, education, and agriculture. He has led industry-funded projects with Altice Labs and Sonae, specializing in R&D with FCT grants. His work spans embedded systems design, human-robot collaboration, precision agriculture, and educational robotics. Notable contributions include Arduino-based robotics for STEM education, predictive maintenance systems, and AI-driven human activity recognition. Publications highlight advancements in autonomous systems, medical signal processing (ECG/EMG), and sensor networks. Collaborations include developing tools like the Kid Grígora robot for early computational thinking and the FEROX simulator for industrial human-robot synergy. He also pioneers smart agriculture solutions using LoRaWAN for vineyard monitoring and IoT-based sensor architectures for UAV inspections. His work integrates machine learning with traditional engineering challenges, addressing topics like fault detection in industrial robots, telemedicine systems, and cognitive architectures for elderly care. He actively publishes in IEEE, journals, and international conferences, emphasizing practical applications of theoretical research.

Jacek StefańskiView profile

Professor

• Digital Radio Communication Systems
• Adaptive Reception Techniques
• Error Protection in Radio Channels
• +6 more

Prof. Jacek Stefański is a distinguished academic serving as Dean of the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology since 2020. He holds a professorship (awarded in 2020) and has held various academic roles, including Vice-Dean for Organizational Studies (2016–2020) and Head of the Department of Radio Communication Systems and Networks (2018–2020). His research focuses on digital radio communication systems, adaptive reception techniques, radiolocation, and asynchronous localization methods. Education: He earned his Ph.D. (2000) and habilitation (2012) at Gdańsk University of Technology, and became a full professor in 2020. His academic career spans roles from research assistant (1993–2001) to his current dean position. Research Interests: His work emphasizes asynchronous wireless localization (e.g., ATDOA method), radiolocation systems, and wireless monitoring technologies. He has contributed to projects like the AEGIR system for ground-based radiolocation and the ARPOL mobile measuring station. Publications: Over 230 publications, with recent work focusing on hybrid localization systems, IoT sensor networks, and SDR-based solutions. His research bridges theoretical advancements and practical applications in radio communication and navigation. Awards: Golden Cyborg Award (2023) Silver Medal for Long Service (2018) Gold Medal in Poznań International Fair (2010) Advising & Grants: Extensive supervision of academic projects and involvement in funded research on radiolocation, environmental monitoring, and wireless systems. Labs/Teams: Leads research teams in radio communication systems, radiolocation, and IoT applications, leveraging Gdańsk Tech’s infrastructure for hands-on experimentation and simulation.

Nel SamamaView profile

Professor

• Satellite Navigation Systems
• Indoor Positioning
• Wireless Communication Systems
• +3 more

Nel Samama is a Professor at Telecom SudParis, affiliated with the ISTeC school and the SAMOVAR department. His research focuses on satellite navigation systems, indoor positioning technologies, and wireless communication systems. He has authored numerous articles on topics such as UWB-based localization, GNSS infrastructure, and RF energy harvesting. Samama has also contributed to books like Indoor positioning: technologies and performance and holds patents related to geolocation systems and interference mitigation. His work emphasizes improving positioning accuracy in constrained environments, such as hospitals and museums, using innovative signal processing techniques and infrastructure like repeaters and pseudolites. Recent projects include developing e-Health-enhanced geolocation systems and symbolic positioning frameworks for resilient navigation. Samama's research spans academic conferences (e.g., IPIN, ENC) and industrial applications, reflecting his expertise in both theoretical and applied aspects of geolocation. His contributions address challenges like spoofing detection, low-power IoT node design, and multi-standard GNSS receiver optimization.

Muhammad UsmanView profile

Senior Lecturer

• Cyber Security
• Digital Forensics
• AI-Driven Systems
• +7 more

Dr. Muhammad Usman is a Senior Lecturer in Cyber Security & Forensics at Edge Hill University, UK. He holds a PhD in Cyber Security from Griffith University, Australia, and completed a Postdoc in Cyber Security and Machine Learning at the University of Surrey. With 21 years of experience spanning academia, industry, and research, he has held roles such as Network Engineer, Assistant Professor, and Research Fellow across Australia, Asia, and Europe. His research focuses on interdisciplinary areas including AI-driven systems, digital forensics, trust & privacy, and HealthTech/Agritech. He leads the 'Human-Centred Intelligent and Secure Systems' research group and has secured significant grants, including leadership roles in projects funded by the British Council and NAUSS Saudi Arabia. His work has been recognized with awards, including a best paper award at IEEE ComTech 2017. Dr. Usman advises on policy and education, including roles with the UK Parliament’s COVID-19 Outbreak Expert Database and the Government of Pakistan. He is a Programme Leader for the BSc (Hons) Computing (Networks, Cyber Security and Forensics) and a Juniper-certified expert in networking and security. His contributions extend to editorial roles, conference organization, and leadership in IEEE committees.

Bryan ConvensView profile

Researcher

• Robotics
• Control Systems
• Real-Time Systems
• +3 more

Bryan Convens serves as a Researcher in the Department of Applied Mechanics at Vrije Universiteit Brussel, specializing in advanced robotics control systems with emphasis on safety, real-time performance, and human-robot collaboration. His work bridges theoretical control theory with practical applications in aerial robotics, prosthetics, and industrial automation, supported by active leadership in multiple research projects. Research interests focus on developing certified-safe control frameworks where Convens pioneers reference governor methodologies for constraint satisfaction in dynamic environments. His investigations span nonlinear model predictive control, learning-based adaptation for uncertainty handling, and energy-efficient actuation systems—particularly for prosthetic devices and multi-robot swarms. Current projects address resilient control under uncertainty (FWOTM1231), robotics adoption in industry (BRGRD68), and series-parallel elastic actuation for prosthetics (FWOSB33), demonstrating consistent innovation in safety-critical domains. Scientific contributions reveal an evolving trajectory toward integrating machine learning with classical control theory to enhance data efficiency while maintaining safety guarantees. Recent publications emphasize real-time feasibility, human-robot collaboration constraints, and robust perception techniques—indicating strategic movement toward deployable solutions for industrial and medical robotics applications. Scientific Awards Best Ph.D. thesis of 2023 by the Belgian National Committee for Theoretical and Applied Mechanics (NCTAM) FWO Travel Grant for Long Research Stay Abroad (2018) Public and jury prize: 2nd place (2020) Convens directs significant research funding through competitive grants including FWOTM1231 (€ project value unstated, 2024-2027), BRGRD68 (Policy-Based project, 2022-2025), and FWOSB33 (Fundamental Research, 2017-2020), focusing on resilient aerial robotics, digital twin integration, and prosthetic energy efficiency. His grant portfolio demonstrates strong alignment with Flanders' strategic priorities in robotics and AI, with active industry partnerships through AI Flanders initiatives. Mentorship activities include supervising junior researchers in complex project environments, though formal student lists aren't documented. He operates within VUB's robotics ecosystem through the Robotics & Multibody Mechanics research group, collaborating closely with Bram Vanderborght's team on actuation systems and Kelly Merckaert on safety frameworks. Current work leverages UWB/VIO sensor fusion and particle filtering techniques within active projects targeting 2025-2027 deliverables for multi-robot coordination in unstructured environments.

• Geomatics
• Computer Vision
• Remote Sensing
• +2 more

Vincenzo Di Pietra is a fixed-term researcher at the Department of Environmental, Land, and Infrastructure Engineering (DIATI) within the Politecnico di Torino (Polytechnic University of Turin) , where he works on geomatics and remote sensing technologies. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and holds a Learning to Teach (L2T) certification. His research focuses on UAV photogrammetry, GNSS positioning, indoor navigation, and geomatics applications for infrastructure monitoring. Academic Affiliation : College of Environmental and Land Engineering (member), College of Civil and Building Engineering (member), College of Electronic/Telecommunications/Physics Engineering (invited member) Di Pietra's work integrates computer vision , machine learning , and sensor fusion to develop innovative solutions for 3D reconstruction , structural health monitoring , and rapid mapping . Recent publications highlight applications of deep learning for corrosion detection, UWB-GNSS hybrid systems, and multi-sensor terrain modeling. Awards : AUTeC Award (2021), Quality Award (2018), SIFET Young Authors Award (2017) He supervises PhD students Milad Bagheri and Myrta Maria Macelloni in Civil and Environmental Engineering . Di Pietra teaches courses on Statistical Data Processing , Geomatics , and Interdisciplinary Projects , while leading research projects like MORPHEUS (2023-2025) for resilient landscape monitoring and commercial contracts with Rai Way and OrigoSat .

Abdelrahman EltoukhyView profile

Assistant Professor

• Airline Schedule Planning
• Logistics and Supply Chain Management
• Operations Research
• +7 more

Dr. Abdelrahman Eltoukhy is an Assistant Professor in the Department of Management Science and Engineering at Khalifa University, Abu Dhabi, UAE. He previously served as a faculty member at The Hong Kong Polytechnic University and King Fahd University of Petroleum and Minerals. Education: B.Sc. in Production Engineering, Helwan University (Egypt) M.Sc. in Engineering and Management, Politecnico Di Torino (Italy) Ph.D. in Logistics Engineering and Management, The Hong Kong Polytechnic University His research focuses on Logistics and Supply Chain Management , Operations Research , and AI Optimization , with applications to Modular Integrated Construction , Drone Navigation , and Sustainable Systems . Recent publications address topics like circular economy in construction, tower crane automation, and UAV cybersecurity. Key Research Directions : Optimization of airline maintenance routing and logistics Deep learning for industrial operations Blockchain applications in resource allocation UWB/IMU sensor fusion for robotics Sustainable construction and waste management Contact: abdelrahman.eltoukhy@ku.ac.ae

• Signal Processing
• Digital Communications
• Machine Learning Applications
• +3 more

Rafael Boloix Tortosa is an Associate Professor in the Department of Signal Theory and Communications at the University of Seville's School of Engineering, where he leads significant research in complex-valued signal processing and its applications. His academic career spans over two decades with continuous involvement in national and international research projects. His research focuses on advancing complex-valued signal processing methodologies, particularly complex Gaussian processes, kernel methods, and widely linear estimation techniques. These theoretical advances are applied to diverse domains including medical imaging (especially burn wound analysis), wireless communications (UWB positioning, OFDM systems), and art conservation. His work bridges fundamental signal processing theory with practical engineering solutions. Professor Boloix Tortosa maintains an active publication record with significant contributions in top IEEE journals, particularly in signal processing and machine learning. His recent work (2025-2019) demonstrates continued innovation in complex-valued machine learning methods, while his earlier publications established foundational work in blind source separation and multiuser detection. He actively participates in multiple research projects including EU-funded initiatives like COURAGEOUS (counter-UAS solutions) and ARIADNE (agricultural drones), alongside national projects in medical imaging and communications. His research group has received consistent funding through the TIC-155 consolidation incentives. His laboratory work centers around the Signal Processing and Communications Research Group, where he develops both theoretical frameworks and practical implementations for signal processing challenges. The group maintains strong connections between theoretical advances and real-world applications across multiple engineering domains.

• Machine Learning
• Edge Computing
• IoT Applications
• +4 more

Bastian Steinhagen, M.Sc. is a Researcher at Faculty of Engineering , Universität Bielefeld , affiliated with the Cognitronics & Sensor Technology Group and the Research Institute for Cognition and Robotics (CoR-Lab) . Since January 2023, he has contributed to the Sustainable Life-Cycle of Intelligent Socio-Technical Systems (SAIL) project, focusing on subproject R2.2 "Data and Model Apoptosis." Education: Master of Science in History, English Studies, and Educational Sciences (2023), Bielefeld University His research intersects machine learning with smart energy systems , addressing challenges in IoT integration for low-voltage grids, photovoltaic generation forecasting , and resource-constrained sensor optimization . He also explores edge computing and UWB localization for electric vehicle charging control and signal integrity analysis. Recent publications highlight trends in applying AI to energy infrastructure , including Transformer-Level Load Forecasting , TinyML for Wearables , and LoRa-based EV Charging Systems . His work aligns with Bielefeld’s strategic Socio-Technical World research area. Project Affiliations: SAIL (Sustainable Life-Cycle of Intelligent Socio-Technical Systems), BiLinked (collaborative digital teaching formats). Collaborative networks include Center for Cognitive Interaction Technology (CITEC) and interdisciplinary research clusters.