Find Academic Supervisors

• Hardware Security
• Cryptographic Engineering
• Cybersecurity
• +3 more

Professor Sklavos Nikolaos serves in the Computer Hardware and Architecture Department at the University of Patras, where he leads research in hardware security and cryptographic engineering. His academic profile demonstrates deep expertise in securing embedded systems and IoT devices through innovative hardware implementations. His research spans Hardware Security , Cryptographic Engineering , Cybersecurity , Hardware Design , and Embedded Systems with particular focus on lightweight cryptography for resource-constrained environments. Current investigations include quantum-resistant security architectures, privacy-preserving e-health systems, and secure implementations for 5G/6G communications. His work bridges theoretical cryptography with practical hardware constraints, emphasizing side-channel attack resistance and energy efficiency. Analysis of his recent publications reveals strong trends in hardware-accelerated cryptography (particularly FPGA/ASIC implementations), IoT security frameworks , and privacy mechanisms for healthcare applications . Notable subfields include lightweight cryptographic standards, hardware trojan detection, and security for tinyML devices. His research consistently addresses real-world constraints like area minimization, power efficiency, and latency requirements while maintaining robust security guarantees. Professor Sklavos actively supervises doctoral, master's, and undergraduate thesis projects while teaching advanced courses in Cybersecurity, Embedded Systems, and Hardware Security. He maintains the SCYTALE research group focused on cryptographic engineering and hardware security solutions. His educational initiatives include integrating hands-on cybersecurity training for 5G/6G technologies into STEM curricula.

Finn Jannek KlarView profile

Researcher

• Sensor Design
• Maritime Technology
• Mechatronics
• +3 more

Finn Jannek Klar is a Researcher at the Hamburg University of Technology within the Institute for Mechatronics in Mechanical Engineering . His work focuses on sensor design and maritime technology, particularly low-cost, high-precision sensors for oceanographic applications. He contributes to projects like the Autonomous Multi-Sensor Drifter and SMART Sensor Particles. M.Sc. in Mechatronics, TU Hamburg (2016-2022) Tutor for "Signals and Systems" and mechanics courses (2016-2021) His research bridges mechatronic sensor development with real-world deployment in maritime environments. Key areas include: Inductive conductivity sensors IoT-enabled ocean monitoring Thermistor-based temperature measurement Smart sensor particle systems Recent publications highlight his work on affordable, robust sensors for salinity and temperature measurement in marine IoT systems. Supervised student theses explore applications like: ADCP deployment in the North Sea Wave motion simulation with UR10e robots Underwater sensor test environments

• Applied Mechanics
• Vehicle Dynamics
• Soil Erosion Modeling
• +4 more

Antonio Leanza is an Assistant Professor in the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy. His research focuses on Applied Mechanics , Vehicle Dynamics , and Robotics , with a particular emphasis on terrain estimation and autonomous navigation systems. Research Trends Recent publications highlight his work in: Vehicle-terrain interaction modeling Autonomous robotic navigation in agricultural settings Advanced sensor fusion techniques (Kalman filtering, factor graphs) Soil roughness characterization for erosion studies Model-based observers for dynamic systems Multibody system simulations His methodological work bridges mechanical engineering, computational modeling, and robotics applications, particularly in off-road and agricultural environments.

• Robotics
• Computer Vision
• Mobile Robotics
• +3 more

Dr. Norman Weiss serves as a Researcher within the Faculty of Mathematics, Natural Sciences, Economics & Computer Science at the University of Hildesheim, where he holds a key administrative position in the Dean's Office 4. His responsibilities include managing doctoral procedures, habilitation procedures, process management, regulations, budget and financial controlling, accreditations, department website, and dean's IT infrastructure. Dr. Weiss has established significant expertise in robotics and computer vision, with a specialized focus on robot soccer applications. His research spans mobile robotics systems, adaptive vision technologies, and autonomous decision-making frameworks. His work demonstrates technical excellence in image processing under varying lighting conditions, real-time object tracking, and multi-agent coordination systems for competitive robotic environments. His publication record reveals consistent contributions to the field since the early 2000s, with notable works including his 2011 book on lighting-tolerant adaptive supervision systems and numerous conference and journal publications analyzing color systems, vision challenges, and architectural approaches for robot soccer. His research trajectory shows an evolution from foundational position recognition systems to more sophisticated adaptive supervision frameworks. Dr. Weiss has made substantial organizational contributions to the academic community, serving as Program Chair for the 5th International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2008) and as Program Chair and Co-Organizer for the FIRA RoboWorld Congress 2006. He has also contributed as Program Committee Member, Publicity Chair for the International Conference on Entertainment Robotics (ICER), and Journal Guest Editor for the Robotics and Autonomous Systems special issue on CIRAS 2008.

Gianluca BianchinView profile

Assistant Professor

• Control Theory
• Optimization Algorithms
• Transportation Networks
• +3 more

Gianluca Bianchin is an Assistant Professor in the Department of Mathematical Engineering at the University of Louvain (UCLouvain), Belgium, and a member of the ICTEAM Institute. He earned his Ph.D. in Mechanical Engineering from the University of California Riverside (2020) and holds M.Sc. and B.Sc. degrees in Controls and Information Engineering from the University of Padua (2014, 2012). Prior roles include Postdoctoral Scholar at the University of Colorado Boulder (2020-2022) and visiting researcher at Bosch Research and Pacific Northwest National Laboratory. Education: Ph.D., Mechanical Engineering, University of California Riverside (2020) M.Sc., Controls Engineering, University of Padua (2014) B.Sc., Information Engineering, University of Padua (2012) His research focuses on control theory , optimization algorithms , and their applications to transportation networks , energy systems , and cyber-physical security . Notable projects include the RoboRing robotic platform for educational and research purposes and the SIDDARTA initiative for sustainable data-driven control methods. He has secured competitive grants such as the WEL-T Investigator Programme Grant (2024) and IEEE TCNS Best Paper Award (2023). Current teaching includes courses on linear control, stochastic processes, and system identification.

• Modelling dynamic and ultrasonic response of complex structures
• Design optimisation of multifunctional structures and metamaterials
• Structural health monitoring (SHM)
• +2 more

Dimitrios Chronopoulos is an Associate Professor in the Department of Mechanical Engineering at KU Leuven , Faculty of Engineering Technology. His research focuses on structural health monitoring, design optimization of composite and metamaterial structures, and wave propagation analysis for damage prognosis. Unit: Mecha(tro)nic System Dynamics (LMSD), Ghent and Aalst Campuses Research Affiliations: Leuven Centre for Affordable Sustainable Technology, LIM - KU Leuven Institute for Mobility His work integrates physics-informed machine learning and computational modeling to address challenges in predictive maintenance of smart composite systems, including aircraft and wind turbine components. Recent projects emphasize digital twins, Bayesian frameworks, and ultrasonic sensor networks for real-time damage assessment. Publications highlight trends in deep learning for SHM , topological phononic crystals , and multi-scale damage detection using hybrid models. He actively supervises students in advanced ultrasonic monitoring and predictive analytics.

• Photonics
• Optical Communications
• Photonic Integrated Circuits
• +4 more

Hercules Avramopoulos is a full Professor at the National Technical University of Athens (NTUA) within the School of Electrical and Computer Engineering, where he heads the Photonics Communications Research Laboratory (PCRL). His work bridges academic research and industrial application in photonics, with leadership in European collaborative projects. His educational background includes a BSc and MSc in Physics and Applied Optics from Imperial College London, followed by a PhD in Physics (1989) focusing on nonlinear effects in lasers and optical fibers. Prior to NTUA, he conducted research at AT&T Bell Laboratories. Avramopoulos' research spans photonic integrated circuits , quantum communications , optical interconnects , and biophotonics sensing . Current work emphasizes monolithic/hybrid photonic integration (silicon, InP, polymers), quantum key distribution (QKD) for satellite/terrestrial networks, and photonic sensors for composite manufacturing. His group develops advanced modulation formats, DSP techniques, and all-optical switching systems. Recent publications show strong focus on quantum-classical coexistence in fiber/FSO networks, 6G X-haul architectures combining fiber/mmWave/FSO, and embedded photonic sensors for industrial processes. Key trends include satellite QKD feasibility, SDN-controlled hybrid transport, and machine learning-enhanced optical signal processing. He has supervised 26 completed PhD theses with 12 current doctoral students. Alumni include 10 faculty members at Greek/European universities and professionals at Cisco, Nokia, and the European Patent Office. PCRL has participated in over 60 European projects (coordinating ~30), including current initiatives like POLYNICES and TWILIGHT. PCRL maintains a 30-member team developing photonic solutions across five domains: optical interconnects, DSP, PIC design, biophotonics, and quantum communications. The lab holds 5 patents and has produced 500+ publications (200+ journal articles). Current infrastructure supports quantum communications research for IYQ2025 (International Year of Quantum 2025) initiatives.

Pierre ParrendView profile

Professor

• Artificial Intelligence
• Security of Complex Systems
• Software Security
• +5 more

Pierre Parrend is Professor (HDR) of Computer Science at EPITA Strasbourg and a core member of the CSTB team within the ICube Laboratory . He previously served as Professor of Higher Education at ECAM Strasbourg-Europe (2019-2021) and University of Strasbourg (2016-2019), where he also headed the Computer Science & Mathematics Department and the Expertise & Recruitment Pole. Education & Academic Path PhD in Computer Science, INSA de Lyon, 2008 – “Software Security Models for Service-Oriented Programming (SOP) Platforms” Master Informatique de Lyon – Mastria Studies at INSA Lyon (Telecommunications, Services & Uses), UPC Barcelona (Spain), and Karlsruhe Institute of Technology (Germany) Research Focus His research lies at the intersection of Artificial Intelligence , Security of Complex Systems and Translational Bioinformatics . He designs secure architectures for the Industry of the Future , IoT health data and cyber-physical systems . Core themes include anomaly detection in AI ecosystems, evolutionary optimisation techniques, and component-based middleware security. Recent Articles & Trends Between 2007-2009 he produced pivotal works on OSGi security, vulnerability benchmarking and privacy-aware service integration. His publications reveal a consistent focus on static analysis of Java/OSGi components , runtime security for extensible platforms , and quantitative security metrics such as the Protection Rate. Grants & Projects HuMa (FUI AAP-19) – Human-centred analysis of massive data for security SENSAI – Sensor network security via artificial immune systems GenIDA – Secure social network for Medicine 4P 4P-Factory – Factory of the Future, UNESCO UNITWIN Complex Systems Digital Campus ComplexLean – Lean organisation modelling as complex systems RDR – Robust Digital Records with Cheikh Anta Diop University, Senegal EASEA – Evolutionary algorithms platform Doctoral Supervision & Labs He currently supervises four PhD students on explainable anomaly detection, autonomous evolutionary computers, magnetocaloric cooling optimisation and metaheuristic learning loops. Former graduates worked on industrial cybersecurity projects with IPLine, Hager and ComplexLean consortia. His laboratory hosts the BICS Platform and the e-laboratory of the UNITWIN UNESCO Complex System Digital Campus .

Jalil Piran MohammadView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Big Data
• +7 more

Jalil Piran Mohammad is an Associate Professor in the Department of Computer Science and Engineering at Sejong University , South Korea. He is a Senior Member of IEEE and serves as an Associate Editor for IEEE Transactions on Intelligent Transportation Systems and Elsevier Journal of Engineering Applications of Artificial Intelligence . He is also the Vice-Chair of IEEE Consumer Technology Society on ML, DL, and AI in Consumer Electronics . Education: Ph.D. in Electronics and Information Engineering, Kyung Hee University, South Korea (2016) Post-Doctoral Fellow, Networking Laboratory, Kyung Hee University Research Interests: His research is deeply rooted in Artificial Intelligence and Data Science , with a focus on Machine Learning , Big Data , Internet of Things (IoT) , Cybersecurity , and Blockchain . He has made significant contributions to AI-driven 6G networks , biomedical AI applications , autonomous systems , and federated learning . Research Trends: His recent publications reflect a strong trend toward AI-enabled healthcare , blockchain-secured systems , 6G and UAV communication , and federated and distributed AI . These works emphasize privacy-preserving AI , real-time diagnostics , and intelligent transportation systems . Scientific Awards: IAAM Scientist Medal 2017, Stockholm Outstanding Emerging Researcher Award 2017, Embassy of Iran in South Korea Dissertation of the Year 2016, Iranian Academic Center President’s Scholarship, South Korea (2013–2015) Best Researcher of the Province 2013 Best Student among Iranian Students in India (2010–2012) Grants & Collaboration: He has led and collaborated on numerous national and international projects funded by institutions such as IEEE , MPEG , and Kyung Hee University . His research has been supported by BK21+ Fellowship and Iranian government scholarships . Editorial & Leadership Roles: Associate Editor: IEEE Transactions on Intelligent Transportation Systems Associate Editor: Journal of Engineering Applications of Artificial Intelligence Guest Editor: IEEE Journal of Biomedical and Health Informatics Vice-Chair: IEEE Consumer Technology Society on ML, DL, and AI in CE Track Chair: IEEE ICC 2022, IEEE ICCE 2024

Hyun-Suk LeeView profile

Assistant Professor

• Machine Learning for Wireless Communications
• Intelligent Decision-Making Applications
• Reinforcement Learning
• +3 more

Hyun-Suk Lee is an Assistant Professor in the Department of Artificial Intelligence and Robotics at Sejong University . Their research focuses on Machine Learning for Wireless Communications and Intelligent Decision-Making Applications , integrating techniques like Reinforcement Learning, Deep Learning, and Uncertainty Quantification to address challenges in wireless networks, metaverse provisioning, and noisy data handling. Education: B.S. (2012) and Ph.D. (2018) from Yonsei University. Their work emphasizes collaborative research between academia and industry, with recent projects targeting energy policy optimization, interference management, and predictive metaverse models. Key research themes include: AI-driven wireless communication networks Intelligent decision-making systems Uncertainty quantification for robust predictions Deep learning applications in energy and metaverse domains Hyun-Suk Lee has contributed to 48 research outputs (as of 2025), including high-impact publications in IEEE Transactions on Vehicular Technology and policy frameworks for renewable energy systems. Their research fingerprint highlights expertise in Scheduling Algorithms, Reinforcement Learning, and IoT. Their laboratory, accessible at Main Lab , serves as a hub for interdisciplinary projects bridging artificial intelligence with telecommunications and energy systems.

• Robot Control
• Sensor-Based Target Tracking
• Artificial Intelligence
• +3 more

Professor Kim Jong-hyuk is affiliated with the Department of Defense Systems Engineering at Sejong University, where he conducts advanced research in robotics and defense systems. His work spans multiple disciplines including artificial intelligence, sensor-based tracking, and signal processing. Robot control Defense systems engineering Underwater localization Transformer-based path planning His recent publications (2024-2025) focus on underwater target tracking with heterogeneous sonar sensors, fault-tolerant control for marine vehicles, and adaptive path planning algorithms for aerial and underwater robots. These works demonstrate expertise in handling environmental disturbances, optimizing sensor networks, and developing robust control systems. Current research trends show increasing focus on 3D localization techniques using hybrid TOA-AOA measurements, deep learning applications for underwater object classification, and distributed robotics systems that maintain functionality under DoS attacks. His work also addresses practical challenges like voltage-based braking controls for electric vehicles and power-efficient underwater robot coordination.

• Real-time computing
• Cyber-Physical Systems
• Internet of Things
• +7 more

Tarek Abdelzaher is the Sohaib and Sara Abbasi Professor and Willett Faculty Scholar in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He leads research in multiple cutting-edge areas including cyber-physical systems, Internet of Things, social sensing, and edge AI. His work has significant applications in smart cities, defense systems, and social media analysis. Abdelzaher received his Ph.D. in Computer Science and Engineering from the University of Michigan, Ann Arbor in 1999. His educational background laid the foundation for his extensive research career spanning real-time systems, distributed computing, and intelligent sensing. His primary research interests focus on understanding and influencing performance and temporal properties of networked embedded, social, and software systems in the face of increasing complexity, distribution, and degree of interaction with external physical environments. Key areas include: Real-time computing and cyber-physical systems Internet of Things (IoT) and sensor networks Machine learning for IoT/CPS applications Social sensing and social media analysis Edge AI and deep learning for resource-constrained environments Battlefield IoT for defense applications Abdelzaher's recent publications demonstrate a strong trend toward integrating machine learning with cyber-physical systems, particularly focusing on edge computing applications. His work bridges theoretical foundations with practical implementations in smart cities, transportation systems, and defense applications. The research shows increasing emphasis on social sensing, where social media data is analyzed to understand real-world events and human behavior patterns. His scientific achievements have been recognized with numerous prestigious awards: IEEE Outstanding Technical Achievement and Leadership Award in Real-time Systems (2012) Xerox Award for Faculty Research (2011) Willett Faculty Scholar (2010) Multiple best paper awards at top conferences including IEEE/ACM International Conference on Cyber-physical Systems (2017), International Conference on Mobile Ad hoc and Sensor Systems (2016), and International Conference on Autonomic Computing (2015) Fellow of both IEEE and ACM NSF CAREER Award (2001) Abdelzaher has advised numerous graduate students who have gone on to make significant contributions in academia and industry. His research has been generously supported by major funding agencies including the National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Army Research Lab (ARL), and others. He leads several major research projects including the $25M Internet of Battlefield Things (IoBT) collaboration between the Army Research Lab, academia, and industry. His research group operates several specialized labs and projects including: GreenGPS: A participatory sensing system for fuel-efficient navigation Apollo: A real-time social media data analysis toolkit for situation understanding Edge AI project: Developing deep learning capabilities for embedded IoT devices Social Mathematics and Information Dynamics project: Establishing laws of information dynamics in social spaces Internet of Battlefield Things (IoBT): Connecting soldiers with smart technology for enhanced defense capabilities

• Geodesy
• GNSS Technology
• Remote Sensing
• +3 more

Jacek Rapiński is a Professor at the University of Warmia and Mazury (UWM) in the Department of Geoengineering. His research focuses on geodesy, GNSS technology, LiDAR data processing, and structural monitoring, particularly in mining and environmental contexts. He has supervised doctoral students at UWM and UPC and contributed to numerous publications. Over 58 publications in WoS/Scopus 307 citations (WoS/Scopus) H-index 12 (WoS/Scopus), 14 (Google Scholar) Supervised 1 doctoral student at UWM and 2 total His recent research explores GNSS multipath mitigation , low-cost sensor integration , and machine learning applications for infrastructure monitoring. Projects include innovative tools for GNSS mission planning and climate-focused land consolidation strategies. While no explicit awards are listed, his work involves advanced methodologies like Msplit estimation and MEMS sensor fusion . He emphasizes promoting doctoral research with available funding and infrastructure at UWM.

• Robotics
• Autonomous Systems
• Sensor Fusion
• +6 more

Marco Camurri is an Associate Professor at the Department of Industrial Engineering, University of Trento. His research focuses on robotics, sensor fusion, and autonomous systems with applications in legged locomotion, SLAM, and dynamic environments. He teaches courses in robotics and mechatronics. DARPA Subterranean Challenge Winner (Team CERBERUS, 2022) His work spans robotics perception, control systems, and terrain adaptation. Key projects include haptic localization, visual-inertial navigation, and GNSS-integrated SLAM. Recent publications emphasize legged robot state estimation and collaborative agricultural robotics. Marco contributes to mechatronics education through courses like Robotic Perception and Action and Electronics and Robotics , collaborating with colleagues such as Mariolino De Cecco and Alessandro Luchetti.

Michael KuhlView profile

Professor

• Simulation
• Operations Research
• Healthcare Systems
• +4 more

Michael Kuhl is a Professor in the Department of Industrial and Systems Engineering at Rochester Institute of Technology's Kate Gleason College of Engineering. His research focuses on simulation methodologies applied to autonomous mobile robots, healthcare systems, and logistics optimization. With appointments spanning teaching, research, and industry collaboration, he directs multiple projects in smart warehouse systems and stochastic input modeling. His educational background includes a Ph.D. and M.S. in Industrial Engineering from North Carolina State University and a B.S. in Industrial Engineering from Bradley University. His research interests center on simulation , operations research , and optimization with applications across healthcare, manufacturing, and logistics domains. Analysis of his recent publications reveals strong trends in autonomous material handling systems (62% of recent works), simulation optimization (28%), and educational pedagogy (10%). His work increasingly integrates machine learning with traditional simulation methods, particularly in indoor localization and warehouse robotics. Healthcare applications remain a consistent thread throughout his career, evolving from hospital supply chain modeling to modern surgical suite optimization. His academic leadership includes directing the REVS K-12 STEM outreach program and developing simulation-based educational modules for assembly systems engineering. Current teaching responsibilities include Systems Simulation (ISEE-510), Simulation Analysis (ISEE-708), and Engineering Value Creation (ISEE-773). Recent industry collaborations include partnerships with Simcona on smart warehouse field experiments, as highlighted in March 2022 Rochester Beacon coverage. His laboratory work focuses on developing intelligent materials handling systems where autonomous robots negotiate right-of-way in warehouse environments using advanced path planning algorithms.