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Gareth PierceView profile

Professor

• Robotics
• Non-Destructive Testing & Evaluation (NDT&E)
• Ultrasonics
• +7 more

Professor Gareth Pierce is a leading academic at the University of Strathclyde, serving as Co-Director of the Centre for Ultrasonic Engineering and Academic Director of the UK Research Centre in Non-Destructive Evaluation (RCNDE). He specializes in robotics, autonomous systems, and non-destructive evaluation (NDT&E), with a focus on structural health monitoring (SHM) and advanced manufacturing. His work integrates robotics, AI, and ultrasonics to address challenges in aerospace, energy, and healthcare sectors. He holds a Spirit Aerosystems/Royal Academy of Engineering Research Chair and leads the £50M SEARCH (Sensor Enabled Automation, Robotics & Control Hub), which spans manufacturing and asset management applications. Education: BSc (Hons) in Pure and Applied Physics from the University of Manchester (1989), PhD in Fibre-Optic Interferometers for Laser-Generated Ultrasound from UMIST (1993). Additional qualifications include City & Guilds certifications in electrical installations and a PGDip in Psychological Wellbeing. Research Priorities Autonomous robotic inspection for manufacturing and asset management Integration of AI/machine learning with NDT&E systems In-process inspection for additive manufacturing and welding Ultrasonic and guided wave technologies for defect detection Key Achievements 2023 Anne Birt Award for NDT innovation Leadership roles in SRPe Robotics & UK HVM Catapult initiatives Over 270 research outputs, 86 projects, and a £50M research portfolio Teaching Course organiser for EE312 (Instrumentation & Microcontrollers) and contributes to advanced systems engineering education. Supervises student projects across engineering disciplines. Labs & Collaborations SEARCH Hub operates from Royal College R2.41 (manufacturing applications) and Technology Innovation Centre TIC 7.14 (asset management). Collaborates with global industry partners like Spirit Aerosystems and Högskolan Väst (Sweden).

Goran S. NikolićView profile

Assistant Professor

• Embedded Systems
• Wireless Sensor Networks
• Automotive Electronics
• +3 more

Goran S. Nikolić is an Assistant Professor at the Faculty of Electronics, University of Niš, Serbia, where he is affiliated with the Department of Electronics. He has been actively contributing to academic and research activities since completing his education at the same institution. Research Interests: His work centers on embedded systems and low-power electronics, with applications in wireless sensor networks, automotive instrumentation, and data acquisition systems. His research bridges theoretical design with practical implementation in real-world engineering contexts. The available publications, though early in his career, indicate a strong focus on efficient, practical electronic systems. These works span topics such as sensor-based automotive measurement, energy-efficient wireless nodes, and standalone data logging devices—highlighting a consistent theme in applied electronics and instrumentation. Scientific Awards: No awards or honors mentioned in the provided text. Advising and Grants: There is no information available about students advised by Goran S. Nikolić. However, he is currently participating in one national research project, indicating ongoing engagement in funded research activities. Labs and Research Teams: While no specific lab or team name is mentioned, his affiliation with the Department of Electronics at the Faculty of Electronics in Niš suggests involvement in research groups related to measurement systems, embedded design, or telecommunications infrastructure within the faculty.

Jens AltenburgView profile

Professor

• Robotics
• Embedded Systems
• Microprocessor Technology
• +3 more

Prof. Jens Altenburg holds the position of Professor of Microprocessor Technology and Embedded Systems at Bingen University of Applied Sciences. His work focuses on robotics, embedded systems, and control engineering. He is affiliated with Department 2, where he contributes to study programs in Computer Science, Electrical Engineering, and related fields. His research interests span robotics, UAVs, and microprocessor-driven automation. Notable publications include works on flight control systems (AONE test bench), image processing for robots, and solar-powered robotics (SOPHOCLES). He has authored technical books on microcontroller programming and mobile robotics, emphasizing practical experimentation and AI integration. While no specific awards are mentioned in the text, his contributions to educational materials and experimental systems highlight his impact in engineering education and applied research.

Mustapha C.E. YagoubView profile

Professor

• RF/Microwave Circuit Design
• RFID Systems
• Antenna Design
• +5 more

Mustapha C.E. Yagoub is a Full Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, with over 500 publications in RF/microwave CAD, RFID systems, neural networks, and applied electromagnetics. He leads research in the ELEMENT Laboratory and RFM Research Group , focusing on wireless communication systems and nonlinear device modeling. PhD in Electronics (Institut National Polytechnique de Toulouse, 1994) Magister in Telecommunications (École Nationale Polytechnique d'Alger, 1987) Dipl.-Ing. in Electronics (École Nationale Polytechnique d'Alger, 1979) His research bridges Microwave Circuit Design with Artificial Intelligence , including applications in Energy Conservation and Telecommunication Systems . Key trends in his publications include hybrid modeling techniques combining Neural Networks with Computational Electromagnetics for optimizing Antenna Design and RF Components . He is a Senior Member of IEEE and licensed with the Professional Engineers of Ontario and Ordre des Ingénieurs du Québec . His lab teams focus on High-Tc Superconducting Devices and Directional Antenna Optimization for RFID networks.

Eric BarthView profile

Professor

• Dynamic systems and control
• Mechatronic systems
• Fluid power systems
• +7 more

Eric Barth is Professor of Mechanical Engineering and Professor of Neurological Surgery at Vanderbilt University's School of Engineering. He serves as Director of the C* Control laboratory (also known as the Laboratory for the Design and Control of Energetic Systems) and is affiliated with the Vanderbilt Institute for Surgery and Engineering (VISE), an interdisciplinary entity bringing engineers and physicians together to impact healthcare. His educational background includes: Ph.D. in Mechanical Engineering from Georgia Institute of Technology M.S. in Mechanical Engineering from Georgia Institute of Technology B.S. in Engineering Physics from University of California - Berkeley Professor Barth's research focuses on dynamic systems and control with applications spanning multiple domains. His primary interests include the design, modeling and control of mechatronic and fluid power systems, free-piston internal combustion and free-piston Stirling engines, energy storage and harvesting systems, and MRI compatible pneumatic robots for medical applications. His work applies a system dynamics and control perspective to problems involving the control and transduction of energy, encompassing multi-physics modeling, control methodologies formulation, and model-based design. His recent publications reveal a strong trajectory connecting mechanical engineering principles with medical applications, particularly in neurosurgery. The research spans energy systems (especially Stirling engines and novel energy storage approaches) and advanced medical robotics for MRI-guided interventions. This dual focus demonstrates his ability to bridge theoretical control systems with practical applications in both energy and healthcare domains. Professor Barth actively advises several doctoral students including David Comber, Joshua J Cummins, Alexander V. Pedchenko, and E. Bryn Pitt. His research is supported by significant funding, notably from the Center for Compact and Efficient Fluid Power, an NSF Engineering Research Center. The C* Control laboratory he directs occupies approximately 1000 square feet and contains specialized equipment including an 8-camera high-bandwidth optical tracking system, mechanical breadboard tables, pneumatic equipment with high-bandwidth servo-valves, specialized pressure sensors, a thermographic camera, high-speed video equipment, 3D printers, and a 2D laser cutter. Computational facilities include a network of approximately 20 machines running MATLAB/Simulink and SolidWorks, with access to additional CNC machining resources through the School of Engineering and the University.

• Computer Security
• Hardware-Software Co-design
• Confidential Computing
• +4 more

Frank Piessens is a Full Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Science, where he leads the Distributed and Secure Software (DistriNet) research group. His research focuses on cutting-edge security challenges at the hardware-software interface. His research interests span: Hardware-software co-design for end-to-end security Confidential computing architectures Microarchitectural side-channel mitigation Secure IoT development Compiler-based security mechanisms Control-flow integrity techniques Recent publications (2024-2025) demonstrate strong focus on: Hardware security cost/performance tradeoffs Processor-level security enhancements (RISC-V, high-end CPUs) IoT device lifecycle security Control-flow leakage prevention Microcontroller IP protection He currently supervises PhD students including M. Bognár and H. Winderix, and leads major research initiatives such as: Hardening confidential computing through vertically integrated system design (2025-2031) Designing secure hardware for software-exploitable attacks (2025-2029) Compiler-based mitigations for microarchitectural side-channels (2023-2027) Security Arms Race at the Hardware-Software Boundary (2020-2025)

Martin TeufelView profile

Professor

• Educational Technology
• Mobile Learning
• Digital Competency in Education
• +3 more

Prof. Martin Teufel is a Professor at the University of Teacher Education Styria, Austria, affiliated with the Institute for Digital Media Education. He specializes in educational technology with a focus on mobile learning, digital competency, and innovative teaching methodologies. His work includes developing MOOC-based learning systems and analyzing student digital preparedness. Key projects include the Styrian University Conference digital competency analysis and the Digital Learning Lab initiative. He holds a BEd from the University of Graz and actively contributes to teacher training programs integrating emerging technologies. Research interests span digital pedagogy, seamless learning environments, and computational thinking tools like BBC micro:bit. His publications highlight patterns in online learning behaviors and institutional digital transformation strategies. He advises on educational technology policy and has led cross-institutional studies on student readiness for digital education. His work often bridges theory and practice through collaborative formats like the Hochschuldidaktik-Café for educators' professional development. Teaching responsibilities include courses on digital media in education and technology-enhanced learning design. He manages educational technology projects and serves as a consultant for digital learning infrastructure. His GPG public key (F361ADE9) indicates active engagement in secure academic communication.

Boro JakimovskiView profile

Assistant Professor

• Grid computing
• High-performance computing
• Parallel and distributed processing
• +1 more

Boro Jakimovski is an Assistant Professor at the Institute of Informatics, Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje. He specializes in Grid computing, High-performance computing, and Parallel and distributed processing, with significant contributions to international projects like the European Grid Initiative and SEE-GRID series. PhD in Informatics (2010) - Thesis: Modelling and verification of Grid workflows MSc in Informatics (2004) - Thesis: Communications in Grids BSc in Informatics (2000) - Graduated top of class His research focuses on optimizing computational grids through adaptive workflows and genetic algorithms. He teaches courses such as Distributed Operating Systems and Software Construction, while previously tutoring foundational informatics topics including Algorithms and automata, Data structures, and Parallel processing. Publications span 18 international conferences and 1 journal article, with a notable awarded paper at MII 2003 . Key projects include FP7 coordination for Pan-European infrastructure and leadership in SEE-GRID initiatives as Grid Infrastructure Manager for Macedonia. Scientific Awards : Awarded paper at MII 2003 International Conference Grants : Participated in 15+ international projects (FP6, FP7, TEMPUS, UNESCO, DAAD, INTERREG III) International Engagement : Lectured at 20+ workshops, visited 10+ universities/summer schools Specializations include Grid infrastructure development, having completed professional visits to institutions like CERN (Switzerland), Humboldt University (Germany), and Software Technology Research Laboratory (UK). He chairs Macedonia's coordination in European Grid Initiative projects and contributes to curriculum development across SEE countries.

Dollas ApostolosView profile

Professor

• Reconfigurable Computing
• Hardware Architecture
• Embedded Systems
• +4 more

Professor Dollas Apostolos serves as a Professor in the School of Electrical and Computer Engineering at the Technical University of Crete (TUC), where he has held leadership roles such as Department Chairman. He directs the Microprocessor and Hardware Laboratory, focusing on reconfigurable computing, embedded systems, and high-performance digital systems. His work emphasizes rapid prototyping and real-world implementation of computational solutions. Education: Ph.D., Computer Science, University of Illinois at Urbana-Champaign (1987) M.Sc., Computer Science, University of Illinois at Urbana-Champaign (1984) B.Sc., Computer Science, University of Illinois at Urbana-Champaign (1982) Research Interests: Reconfigurable computing architectures FPGA-based acceleration for bioinformatics and genomics Embedded systems and real-time processing Hardware-software co-design for high-performance computing His research bridges theoretical innovation with practical applications, such as FPGA implementations for genome assembly and aquaculture monitoring systems. Publications: Recent work highlights FPGA-based solutions for bioinformatics (e.g., genome assembly acceleration), real-time embedded systems (e.g., fish cage net monitoring), and scalable data processing frameworks. His articles often explore the intersection of FPGA technology with computational biology, embedded vision, and distributed systems. Awards and Affiliations: Senior Member, IEEE and IEEE Computer Society Recipient of IEEE Computer Society Golden Core and Meritorious Service Awards Twice honored with the University of Illinois Teaching Excellence Award He is a co-founder of IEEE conferences like FCCM and RSP, reflecting his leadership in the reconfigurable computing community. Teaching and Labs: Teaches courses on computer architecture, logic design, and VLSI design. The Microprocessor and Hardware Lab under his direction drives advancements in FPGA-based systems, with projects ranging from bioinformatics hardware accelerators to embedded vision systems.

Goran S. RisticView profile

Professor

• Semiconductor Physics
• Radiation Effects on Electronics
• Applied Physics
• +3 more

Goran S. Ristic is a Full Professor at the Faculty of Electronic Engineering, University of Nis, Serbia, since 2004. He holds a PhD in Semiconductor Physics from the same institution (1998), preceded by a master's (1994) and bachelor's degree (1990) in Physics. His research focuses on semiconductor materials, radiation effects on electronic devices, and dosimetry systems. He has published widely in journals like Journal of Applied Physics and IEEE Transactions , with over 69 papers in impact-factor journals. His work includes developing microcontroller-based dosimeter systems and studying defect behaviors in MOSFETs under irradiation and high electric fields. Key research interests include radiation-induced defects in semiconductors, annealing processes, and applications in medical dosimetry. He leads the Applied Physics Laboratory (website: http://www.apl.elfak.rs/ ). Current projects involve 1 national and 1 international collaboration. His contributions span semiconductor device reliability, gas breakdown measurements, and radiation-hardened electronics. Contact details: Email , Phone: +381 (18) 529-329, Address: Aleksandra Medvedeva 4, 18104 Nis, Serbia.

Jun BaiView profile

Assistant Professor

• Machine Learning
• Deep Learning
• Medical Image Analysis
• +2 more

Jun Bai is an Assistant Professor in the Department of Computer Science at the University of Cincinnati's College of Engineering and Applied Science. His research focuses on Machine Learning, Deep Learning, Medical Image Analysis, AI-driven diagnostics for cancer and diseases, and drug discovery. He holds a Ph.D. in Computer Science and Engineering from the University of Connecticut (2023), an M.S. in Computer Science from the University of Dayton (2019), and an M.S. in Interdisciplinary Studies in Education (2015). His work emphasizes applying AI to healthcare challenges, such as robust mammogram classification, 3D biomedical image registration, and peptide generation for drug discovery. Recent studies include hybrid transformer models for medical imaging and weakly-supervised systems for prostate cancer diagnosis. His computational methods span molecular dynamics simulations and graph neural networks. Despite his prolific research output, no specific grants, advising roles, or lab affiliations are explicitly listed in the provided data. Contact: Rhodes Hall 891, Cincinnati, OH | Email: baiju@ucmail.uc.edu

Wanja HoferView profile

Researcher

• Embedded Operating Systems
• Real-Time Systems
• Aspect-Oriented Programming
• +3 more

Dr. Wanja Hofer is a former research staff member at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). She specialized in embedded systems, real-time operating systems, and aspect-oriented programming. Her research focused on optimizing hardware-centric systems like Sloth and CiAO, addressing challenges in interrupt handling, scheduling, and software product line variability. Her academic journey includes a PhD in 2014 titled Sloth: The Virtue and Vice of Latency Hiding in Hardware-Centric Operating Systems . She contributed to key projects such as Sloth (time-triggered RTOS) and CiAO (aspect-oriented OS family), emphasizing scalability and configurability for automotive and embedded domains. Hofer also held roles like Web chair for EuroSys 2009 and co-maintained the EuroSys Research Directory. Her teaching involved Basics of Systems Programming in C and OS-related seminars. She advised over 15 graduate students on topics ranging from MPU-based task isolation to filesystem-level variability management. Notable contributions include hardware-accelerated interrupt handling, aspect-oriented OS design, and embedded system energy optimization. Hofer currently works at Brose Fahrzeugteile, applying her expertise in embedded systems and real-time computing to automotive technologies. Her work bridges academic innovation with industrial applications, particularly in safety-critical and resource-constrained environments.

• Educational Technology
• Creative Programming
• Video Game Design
• +6 more

Pedro Neves Rito is an Associate Professor at the Department of Communication and Art within the School of Education at the Polytechnic Institute of Viseu, where he has been teaching since 2007. His teaching focuses on web programming, creative programming, microcontroller programming, sensors, and ICT training for pre-school and primary school teachers. He is also a member of the CI&DEI Research Group and has served as Coordinator of the Information and Communication Technologies Area since 2022. His educational background includes: Doctorate in Information Technologies and Systems from the University of Minho (2015) Master's degree in Multimedia in Education from the University of Aveiro (2007) Degree in Computer Engineering from the Instituto Superior de Engenharia de Coimbra Numerous professional certifications including Adobe Certified Expert in Dreamweaver CS3 and Flash CS3 Rito's research spans multiple innovative areas at the intersection of technology and education. His primary interests include the adoption and diffusion of technologies, creative programming and application development, video game design, and tangible interfaces. He has extensively explored how gamification techniques can enhance learning experiences, particularly in programming education, and has investigated the potential of augmented reality in educational contexts. His work often focuses on practical applications for classroom settings, especially for pre-school and primary school teachers. His recent publications show a strong trend toward integrating artificial intelligence in educational game design, with particular emphasis on STEAM education and programming concepts. He has conducted systematic reviews on the educational potential of video games and developed frameworks for designing educational mobile video games. His research consistently emphasizes practical implementation strategies for educators, with a growing focus on AI applications in educational settings. Rito actively supervises numerous graduate students across various programs, particularly in Arts, Multimedia, and Education fields. He has led and participated in multiple research projects including "dEweB - Digital Era: WEB 3.0 and beyond," "Smart City Kids Lab," and "Eco-sensors4Health." His work demonstrates a commitment to applying technology innovations in real educational settings through practical implementation and teacher training.

Wenwen WangView profile

Associate Professor

• Computer Systems
• Compiler Design
• Computer Architecture
• +4 more

Wenwen Wang is an Associate Professor in the School of Computing at the University of Georgia's Franklin College of Arts & Sciences. His research focuses on computer systems, compiler design, and embedded systems security. He holds a Ph.D. in Computer Science from the University of Chinese Academy of Sciences (2014). Education: Ph.D., Computer Science, University of Chinese Academy of Sciences, 2014 His research emphasizes dynamic binary translation, compiler optimization, and secure embedded systems. Notable contributions include frameworks like JavART (JIT compiler optimization) and BSan (memory error detection). He received the 2021 M. G. Michael Award for Sciences from the Franklin College. Wang has secured two NSF grants totaling $1.2 million, including CSR: Small grants for FALCON (2023–2027) and Modernizing Dynamic Binary Translation Systems (2023–2027). He advises three graduate students: Ruili Fang, Yage Hu, and Boyang Yi. His work addresses challenges in cross-architecture virtualization, GPU-based graph computing, and hardware-triggered security mechanisms. Recent projects include Liberator (GPU graph processing) and InvisiGuard (embedded device integrity).

• Robotics
• Machine Learning
• IoT Applications
• +4 more

Senthil Arumugam Muthukumaraswamy is an Associate Professor at the School of Engineering & Physical Sciences, Heriot-Watt University. His research focuses on robotics, machine learning, IoT applications, and automation, with contributions to the UN Sustainable Development Goals in areas like healthcare and agriculture. His work spans smart navigation systems for healthcare robots, surveillance systems for livestock health, facial recognition algorithms, and automated agricultural solutions like aquaponics and vertical farming. He explores path-planning algorithms for firefighting and military robotics, emphasizing AI-driven problem-solving in hazardous environments. Research trends include integrating bio-inspired algorithms, neural networks, and IoT for real-world applications such as elderly health monitoring, smart home automation, and energy-efficient systems. Collaborations span multiple countries, reflecting global interest in his interdisciplinary approaches. No scientific awards are listed, but his extensive publication record highlights active grant-funded research in robotics, automation, and renewable energy. He leads projects in robotics design, control systems, and sustainable farming technologies, contributing to both academic and industry partnerships. Labs and teams include collaborations on robotics, AI, and IoT systems, though specific lab names are not detailed in the provided texts.