جست‌وجوی استاد و پژوهشگر

Husam Al-Magsoosiمشاهده پروفایل

عضو هیئت علمی

• Hardware Security
• Physical Unclonable Functions (PUFs)
• Machine Learning in Security
• +۴ مورد دیگر

Husam Al-Magsoosi is an Assistant Research Fellow at the Budapest University of Technology and Economics , affiliated with the College of Engineering and the Department of Automation and Applied Informatics . His work focuses on hardware security, particularly in the development and analysis of Physical Unclonable Functions (PUFs) . Research Interests : Hardware Security, PUFs, FPGA Design, Machine Learning in Security, Embedded Systems, Wireless Sensor Networks. His recent publications highlight advancements in configurable ring oscillator PUFs, addressing security, performance optimization, and environmental factors like temperature sensitivity. He explores FPGA-based implementations and evaluates vulnerabilities to machine learning attacks. His work also extends to energy-efficient routing protocols for sensor networks and embedded system design. Scientific Awards : No specific awards mentioned in the provided data.

• Fractional Calculus
• Artificial Intelligence
• Control Theory
• +۵ مورد دیگر

Ramiro de Sousa Barbosa is a Coordinator Professor at the Instituto Superior de Engenharia do Porto (ISEP) within the Polytechnic Institute of Porto (IPP) , and a researcher at the Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD) in the Associated Laboratory for Intelligent Systems (LASI) . He holds a Ph.D. (2005) and M.Sc. (2000) in Electrical and Computer Engineering from the University of Porto . Research Interests: Fractional Calculus in Control Artificial Intelligence Evolutionary Algorithms Robotics Nonlinear Systems His work includes over 130 publications and active participation in R&D projects like LA/P/0104/2020 and TradeRES . He serves as a reviewer for journals including IEEE , Springer , and MDPI , and has edited 6 special journal issues. Article Trends: Recent publications focus on neural networks for robotics, fractional calculus in control systems, evolutionary algorithms for optimization, and smart energy systems. The 15 most recent works span 2025-2008, with keywords in Computer Science , Control Engineering , and Renewable Energy . Professional Roles: 2020-present: Coordinator Professor at ISEP 2010-2020: Adjunct Professor at ISEP 2004-present: Researcher at GECAD Projects: Currently leads research in Intelligent Systems Associate Laboratory and Smart Energy Systems , with past involvement in 8+ EU Horizon projects.

Manuel Jesus Lopez Sanchezمشاهده پروفایل

استاد

• Systems Engineering
• Automation
• Cyber-Physical Systems
• +۳ مورد دیگر

Manuel Jesus Lopez Sanchez is a tenured professor at the University of Cádiz, Spain, affiliated with the College of Engineering and the Department of Automatic Engineering, Electronics, Computer Architecture, and Networks. His work focuses on Systems Engineering and Automation, with expertise in Nonlinear Dynamics, Cyber-Physical Systems, Robust Control , and Advanced Process Control . He has developed control methodologies for chaotic systems, marine applications, and real-time simulation environments. Education: PhD in Systems Engineering (1999) - University of Cádiz PhD in Systems Engineering (1995) - University of Sevilla His research spans multiple domains including chaos control , marine automation , and real-time systems . Key contributions include H∞ controller designs for aircraft , adaptive ship stabilization systems , and open-source hard real-time environments . Article trends show sustained focus on robust control algorithms (7/15 articles), chaotic system stabilization (5/15 articles), and maritime automation (6/15 articles) since the 1990s. He has collaborated on numerous projects, including the development of the ControlAvH software for controller design and the EPESC real-time simulation system. His work integrates nonlinear control theory with practical hardware implementations , often through experimental validation using physical systems like chaotic circuits and marine vessels.

Joachim Falkمشاهده پروفایل

پژوهشگر

• Electronic System Level Design
• Hardware-Software Co-Design
• Data-Flow Graphs
• +۶ مورد دیگر

Joachim Falk is a researcher at the Department of Hardware-Software Co-Design (Computer Science 12) at Friedrich Alexander University Erlangen-Nuremberg. With over 20 years of experience since joining the department in 2004, he specializes in electronic system level design, dataflow programming, and hardware-software co-design, contributing significantly to the field through publications, teaching, and research leadership. His educational background includes: Doctorate degree (Dr.-Ing.) in Computer Science from FAU (2014) Diploma degree in electrical engineering (data processing) from Georg-Simon-Ohm University of Applied Science Nuremberg (2002) Falk's research focuses on Electronic System Level Design, Hardware/Software Code Generation for Data-Flow Graphs, Compiler Optimizations, and Parallel Architectures. His work bridges theoretical computer science with practical embedded systems implementation, particularly through the SystemC framework and his contributions to the SysteMoC language. He actively explores energy-efficient computing approaches for dataflow networks and embedded systems, with recent work emphasizing self-powering networks, clock and power gating techniques, and multi-reader buffer implementations for heterogeneous architectures. His recent publication trends reveal a consistent focus on optimizing dataflow networks for energy efficiency and performance. Key themes include self-powering dataflow networks, innovative clock and power management techniques, buffer management strategies for heterogeneous many-core systems, and invasive computing approaches. His research demonstrates a strong connection between theoretical models and practical implementation challenges in embedded systems design. Dr. Falk teaches courses including 'Entwicklung interaktiver eingebetteter Systeme' (Development of Interactive Embedded Systems) for Winter Semester 2024/2025 and 'SystemC' for Summer Semester 2024, supervising multiple theses on security modeling at the electronic system level and sleep/wake-up strategies for hardware implementations of dataflow networks. His research is conducted within the framework of projects like SysteMoC (representation of computational models in SystemC) and SystemCoDesigner (design space exploration for embedded systems).

Quazi Rahmanمشاهده پروفایل

دانشیار

• Wireless Communications
• Software Applications in Electrical Engineering
• Engineering Education
• +۲ مورد دیگر

Quazi Rahman serves as an Associate Professor in the Department of Electrical and Computer Engineering at Western University's Faculty of Engineering. His office is located in Thompson Engineering Building, Room TEB 361, with contact information including telephone (519-661-2111 ext. 81399) and email (qrahman@eng.uwo.ca). Dr. Rahman holds a PhD in Electrical and Computer Engineering from the University of Calgary (2002), an M.Sc. in Applied Physics and Electronics and Communication Engineering from Dhaka University, Bangladesh (1992), and a B.Sc. in the same field from Dhaka University (1990). As a licensed professional engineer in Ontario and a senior member of IEEE, he brings significant industry and academic credentials to his teaching and research. His research spans wireless communications , software applications in Electrical Engineering , and specialized teaching methodology research. Dr. Rahman teaches foundational courses including Programming Fundamentals for Engineers (ES1036a/b), UNIX and C (SE2250), Electric Circuits I (ECE2250), and advanced topics like Advanced Topics in Wireless Communications (ECE4433), reflecting his dual expertise in both hardware and software aspects of electrical engineering. Dr. Rahman's teaching excellence has been consistently recognized through numerous prestigious awards over more than a decade of service at Western University. OCUFA Award for Excellence for Outstanding contribution to University Teaching (2016-2017) Edward G. Pleva Award for Excellence in Teaching (2016-2017) R. Mohan Mathur Award for Excellence in Teaching (2014-2015) Multiple USC Teaching Honor Role awards (2006-2017) His teaching philosophy emphasizes building fundamental strength in students, fostering critical thinking skills, encouraging open discussion of course topics, and ensuring students view his courses as valuable learning experiences. As reflected in his consistent teaching honors, Dr. Rahman has successfully implemented this approach across multiple engineering disciplines within the Electrical and Computer Engineering department.

• System-level Security
• Multi-Processor System-on-Chip Protection
• Network-based Security
• +۵ مورد دیگر

Johanna Sepulveda is a Lecturer at the Chair of Information Security , Technical University of Munich (TUM). She has over 12 years of experience in embedded security design, focusing on innovative protection techniques against side-channel and fault attacks, as well as hardware/software development for System-on-Chip (SoC) and Multi-Processor System-on-Chip (MPSoC) systems. Education: M.Sc. and Ph.D. in Electrical Engineering – Microelectronics from the University of São Paulo, Brazil Key Research Areas: System-level Security, MPSoC Protection, Post-Quantum Cryptography, Side-channel Attacks, and Network-on-Chip Security Contact: johanna.sepulveda@tum.de Her research emphasizes secure communication structures, quality-of-service in network-based systems, and verification of embedded security implementations. She has held postdoctoral and visiting researcher positions at institutions including the University of Lyon, University of South Brittany, and University of Bremen.

• Cryptography
• Hardware Security
• Embedded Systems
• +۲ مورد دیگر

Kimmo Järvinen serves as a Visiting Professor in the Department of Electronics and Nanoengineering at Aalto University, actively contributing to the Adjunct Professor Asokan N. research group. His institutional affiliation centers on advancing cryptographic solutions for modern security challenges within the university's engineering ecosystem. His research spans cutting-edge cryptography with emphases on hardware security, embedded systems protection, and efficient algorithm design. Järvinen specializes in elliptic curve cryptography implementations, side-channel attack countermeasures, and hardware acceleration techniques for resource-constrained environments like IoT devices. His work bridges theoretical cryptographic constructs with practical hardware deployment, prioritizing both security robustness and computational efficiency in real-world applications. Analysis of his 2014-2018 publications reveals consistent innovation in finite field arithmetic optimization, scalar multiplication efficiency, and physical attack resistance. His research trajectory demonstrates increasing focus on IoT security integration, with significant contributions to FPGA-based cryptographic accelerators and lightweight implementations for constrained devices. Key thematic threads include endomorphism exploitation for performance gains, binary field operation optimization, and protocol-level privacy enhancements for mobile networks. Dr. Järvinen operates within Adjunct Professor Asokan's cybersecurity research collective, which explores hardware-software co-design approaches to cryptographic system vulnerabilities. This team environment fosters cross-disciplinary collaboration on securing next-generation communication infrastructures and embedded platforms.

Mihai Teodor Lazarescuمشاهده پروفایل

دانشیار

• Artificial intelligence
• Capacitive sensors
• Embedded software
• +۱۰ مورد دیگر

Dr. Mihai Teodor Lazarescu is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino , where he contributes to research and teaching activities. He is also a member of the PolitoBIOMed Lab (Biomedical Engineering Lab) and the Ambient Sensing and Processing research group. Scientific Affiliation: IEEE Member (2019-present) Editorial Roles: Guest Editor for SENSORS, ELECTRONICS, and ACM Transactions on Embedded Computing Systems His research interests focus on hardware acceleration for machine learning algorithms, particularly using FPGAs for data center and embedded applications. He works on high-level synthesis optimization flows, capacitive sensor design for indoor monitoring, and low-power embedded systems . His work intersects Internet of Things , Wireless Sensor Networks , and Machine Learning with applications in human localization, environmental monitoring, and industrial automation. Recent publications demonstrate expertise in neural network optimization , DSP resource sharing , and multi-FPGA allocation . His teaching spans Applied Electronics , Digital Electronic Design , and Embedded Systems Optimization across bachelor's and master's programs in Electronic Engineering and Computer Engineering . Patents: Noise cancellation for single-plate capacitive sensors Capacitive sensor for space change detection Projects: Scientific Manager for Horizon 2020-S2RJU project (2018)

Costantinos Zagarisمشاهده پروفایل

استادیار

• Autonomous spacecraft guidance
• Spacecraft relative motion dynamics
• Optimal control
• +۴ مورد دیگر

Costantinos Zagaris is an Assistant Professor of Aerospace Engineering at the Air Force Institute of Technology (AFIT). He earned his B.S. (2007), M.S. (2012), and Ph.D. (2018) in Astronautical Engineering from Virginia Tech, AFIT, and the Naval Postgraduate School, respectively. His military career includes roles at Edwards Air Force Base, Space and Missiles Systems Center, and Air Force Research Laboratory. B.S. Aerospace Engineering, Virginia Tech (2007) M.S. Astronautical Engineering, AFIT (2012) Ph.D. Astronautical Engineering, Naval Postgraduate School (2018) Zagaris specializes in autonomous spacecraft guidance, spacecraft relative motion dynamics, optimal control, and reachability. His work focuses on spacecraft autonomy, control algorithms, and rendezvous maneuvers with tumbling objects. His recent publications address topics such as convex-programming-based guidance, model predictive control, and reachability analysis for spacecraft proximity operations and docking. These works emphasize applications in robotic manipulation, collision avoidance, and trajectory optimization. Zagaris has conducted experimental research on hardware-in-the-loop testbeds and has contributed to guidance strategies for spacecraft rendezvous and docking with rotating bodies. His technical expertise includes spacecraft autonomy, control systems, and mission planning for space operations.

• Industry 4.0
• Manufacturing Automation
• Semantic Interoperability
• +۵ مورد دیگر

Prof. Jörg F. Wollert serves as Professor at Aachen University of Applied Sciences (FH Aachen), Germany, where he leads research within the MASKOR institute focusing on next-generation manufacturing systems. His academic career spans over two decades with continuous contributions to industrial automation, evolving from early wireless communication research to current Industry 4.0 leadership. Research focuses on semantic interoperability frameworks for field-level device integration, human-centered gamification in manufacturing workflows, and resilient multi-agent control systems for smart factories. His work bridges theoretical ontologies with practical implementations, emphasizing worker experience through VR training systems and digital assistance. Recent publications demonstrate growing emphasis on context-aware capability inference and adaptive production environments . Analysis of his 2022-2025 publications reveals three dominant trajectories: (1) Semantic architectures for field device interoperability (40% of recent work), (2) Gamification mechanisms enhancing human performance (35%), and (3) Multi-agent systems for production resilience (25%). His research consistently addresses the human-technology interface, with 70% of recent articles incorporating human factors considerations. As founder of the Wireless-Technologies-Kongress series (2006-2008), Prof. Wollert established early frameworks for industrial wireless communication now foundational to Industry 4.0. His MASKOR institute team develops practical implementations including the Digital Twin Academy initiative and IO-Link integration frameworks currently deployed in German manufacturing SMEs.

Leocadio Hontoria Garcíaمشاهده پروفایل

استاد

• Photovoltaic Solar Energy
• Solar Radiation Modeling
• Artificial Neural Networks
• +۳ مورد دیگر

Leocadio Hontoria García serves as Full Professor in the Department of Electronic and Automatic Engineering at the Higher Polytechnic School of the University of Jaén, Spain, where he has maintained an active academic position since 2003. His career bridges advanced research in solar energy systems with innovative educational practices in engineering disciplines. Academic Background: PhD in Physical Sciences, University of Jaén (2002) Hontoria's research program focuses on applying artificial neural networks to solve critical challenges in solar energy utilization, particularly in photovoltaic system design, solar radiation modeling, and renewable energy integration. His work demonstrates exceptional continuity in merging computational intelligence with practical energy solutions, establishing him as a leading specialist in solar resource assessment methodologies. Analysis of his recent publications reveals a strategic evolution toward educational innovation and real-world implementation. While maintaining core expertise in neural network applications for solar radiation prediction, his current work emphasizes urban photovoltaic integration, entrepreneurship education for engineers, and open-access educational resources. This shift reflects growing institutional priorities around sustainable development and practical skill transfer. Research Leadership: Principal Investigator for approximately 50 funded research projects and contracts Director of the Laboratory of Electrical and Electronic Engineering Applied to Solar Energy Extensive collaboration with industry partners in renewable energy sector Hontoria maintains active leadership in the Laboratory of Electrical and Electronic Engineering Applied to Solar Energy, where his team develops practical solutions for solar energy monitoring, system optimization, and educational tool creation. Current initiatives include IoT-based photovoltaic monitoring systems and open-source simulation platforms for engineering education.

• Robotics
• Control Systems
• Kinematics
• +۵ مورد دیگر

Shivesh Kumar is an Assistant Professor in the Dynamics Division of the Department of Mechanics and Maritime Sciences at Chalmers University of Technology. He also holds a part-time Senior Researcher position at the Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI) in Bremen, Germany. Assistant Professor at Chalmers Part-Time Senior Researcher at DFKI Co-Chair, IEEE-RAS Technical Committee on Model-Based Optimization for Robotics His research focuses on robotics , particularly in kinematics, dynamics, and control systems for developing animal-like physical/athletic intelligence in robots. Key areas include underactuated robotics, control algorithm benchmarking, and human-robot interaction. Recent publications (2023-2024) highlight work on: Parkour control for monoped hoppers Reinforcement learning for robotic athleticism Energy-efficient brachiation robots Robust co-design of underactuated systems His projects involve collaborations with Wallenberg AI, Autonomous Systems and Software Program and Chalmers' digitalization initiatives. He maintains advisory relationships with the Advanced AI Team: Team Mechanics & Control and Underactuated Robotics Lab at DFKI. Contact: shivesh.kumar@chalmers.se

• Internet of Things (IoT)
• Cyber-Physical Systems
• Smart Spaces/Communities
• +۵ مورد دیگر

Nalini Venkatasubramanian is a Professor at the University of California, Irvine with over three decades of research experience in Internet of Things, Cyber-Physical Systems, and Smart Spaces. Her work bridges theoretical foundations with practical applications in urban infrastructure, environmental monitoring, and healthcare systems, making significant contributions to both academic research and real-world implementations. Her research interests span privacy-preserving IoT systems, semantic modeling of smart environments, federated learning approaches, and resource-constrained computing. She has pioneered frameworks for human-in-the-loop IoT planning, verifiable data management, and context-aware monitoring systems that have been implemented in community-scale deployments. Her work consistently addresses the tension between functionality and privacy in connected environments. Analysis of her recent publications reveals a strong interdisciplinary trajectory, with increasing focus on environmental sustainability, equitable resource allocation, and socially responsible computing. Her research integrates techniques from machine learning, distributed systems, and human-computer interaction to solve complex problems in water infrastructure, power grid security, and community resilience. Dr. Venkatasubramanian has mentored numerous graduate students who have become leaders in their respective fields, and maintains extensive collaborations across computer science, civil engineering, and environmental science disciplines. Her laboratory has produced influential systems including SmartSPEC, REAM, CANOPY, and PrivacySphere, demonstrating her commitment to translating research into practical solutions.

Jianqing Liuمشاهده پروفایل

دانشیار

• Networking and Performance Evaluation
• Cyber Security
• Embedded and Real-Time Systems
• +۲ مورد دیگر

Jianqing Liu is an Associate Professor in the Department of Computer Science at North Carolina State University, with a courtesy appointment in the Department of Electrical & Computer Engineering. His research addresses communication, networking, security, and data privacy challenges in next-generation systems like 5G, IoT, and the quantum internet. Ph.D. in Computer Engineering, University of Florida (2018) B.S. in Electronic Science and Technology, University of Electronic Science and Technology of China (2013) His lab combines theoretical approaches (optimization, control, statistical modeling) with experimental methods (reverse engineering, system implementation) to advance secure communication systems. Research spans differential privacy , quantum networking , and IoT security , with a focus on hardware-software co-design and low-power solutions. Recent publications highlight trends in quantum internet protocols, privacy-preserving memory design, and IoT security optimization. Many articles explore theoretical foundations and practical implementations for emerging technologies like the quantum internet and blockchain. NSF CAREER Award (2021) COE Outstanding Research Award (2022) Best Paper Awards (IEEE HotICN, IEEE MMWCST) Liu has advised Master’s students like Raj, who successfully defended his thesis, and secured over $1.4 million in grants from the NSF. His work includes projects on quantum network virtualization, wireless device error management, and differential privacy via memory design.

Morten Rhigerمشاهده پروفایل

دانشیار

• Computer Science
• Programming Languages
• Semantics of Programming Languages
• +۱۰ مورد دیگر

Morten Rhiger is an Associate Professor in the Department of People and Technology at Roskilde University, Denmark, specializing in programming language theory and implementation with expertise in semantics, type systems, and compiler design. His research portfolio centers on: Programming Languages : Core design principles and theoretical foundations Semantics : Formal denotational and operational frameworks Type Systems : Safety mechanisms and correctness verification Compilers : Optimization techniques and runtime systems Program Generation : Staged computation and automatic code synthesis Multi-stage Languages : Runtime code generation and partial evaluation Publication trends reveal sustained contributions from foundational work (2009-2012) on pattern combinators and staged computation to recent innovations in type-based uncurrying (2024), with significant interdisciplinary work on energy-transparent systems (2016). His research consistently bridges theoretical rigor with practical implementation challenges. Rhiger actively contributes to major research initiatives including ENTRA (2012-2015) for energy transparency, NUSA (2011-2013) for model checking, and recent energy-certification projects (2020-2022), demonstrating sustained focus on program analysis and energy-aware computing. He maintains strong community engagement through organizing the Copenhagen Programming Languages Workshop and participating in key conferences including the Symposium on Implementation and Application of Functional Languages.