Résumé: Samuel Rey-Mermet est Professeur à l'Université appliquée HES-SO Valais-Wallis, spécialisé en ingénierie industrielle et matériaux multifonctionnels. Il dirige des projets de recherche sur la fabrication additive, l'analyse de risques en hydroélectricité, et les technologies de poudres. Ses travaux incluent des collaborations avec des entreprises comme Alpiq et Hydro-Exploitation SA, portant sur des systèmes de surveillance en temps réel des conduites forcées et des implants médicaux en Nitinol. Il est impliqué dans des projets financés par Innosuisse et la Fondation Gebert Rüf, avec un accent sur l'innovation industrielle et la durabilité. Projets clés: Smart real time monitoring system for aerial penstocks (OFEN, 2024–2027) Development of Nitinol implants via additive manufacturing (Innosuisse, 2020–2021) Heat flux sensor for industrial processes (Gebert Rüf Foundation, 2019–2022) Équipe de recherche: Collaborations étroites avec des chercheurs comme Patrice Rudaz, Steve Joris, et Romain Masserey. Ses publications portent sur la surveillance numérique d'infrastructures hydrauliques et l'impression 3D de matériaux métalliques innovants.
Aaron Johnson is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, where he directs the Robomechanics Lab . He also holds courtesy appointments in the Robotics Institute and the Department of Electrical & Computer Engineering. His research focuses on enabling robots to operate robustly in complex, real-world environments through innovations in robot design, control, and interaction dynamics. Ph.D., Electrical & Systems Engineering, University of Pennsylvania (2014) B.S., Electrical & Computer Engineering, Carnegie Mellon University (2008) Johnson’s research interests lie at the intersection of legged robotics, adaptive control, bioinspired design, and physics-based planning . He investigates how robots can intelligently interact with unstructured environments—such as rocky terrain, cluttered homes, or industrial sites—by integrating mechanical design, sensor feedback, and intelligent control. His lab develops platforms like Zippy (the world’s smallest bipedal robot) and Picotaur , and works on dynamic behaviors including climbing, jumping, and navigating entanglements. The most recent publications highlight a strong trend in hybrid dynamical systems, robust state estimation, terrain-aware navigation, and ethical considerations in robotics . His group advances techniques in contact-implicit control, MPC, Kalman filtering for hybrid systems, and field deployment of autonomous robots for environmental monitoring. Themes of scalability, energy efficiency, and bioinspiration recur across the work. Johnson has received several prestigious awards: NSF CAREER Award (2020) Army Research Office Young Investigator Award (2019) Best Workshop Paper Award at ICRA 2022 (Quad-SDK) David Thuma Laboratory Project Award (2008) Honorable mention, CRA Outstanding Undergraduate Award (2008) He actively mentors students through his graduate course 24-775 Robot Design & Experimentation and lab outreach programs, including partnerships with Gwen’s Girls. He has secured grants for fielding legged robots in real-world applications, such as soil contamination sampling and hill climbing. Johnson co-organizes the CMU Locomotion Seminar and is committed to diversity, equity, and inclusion in robotics, co-authoring the Black in Robotics Reading List and advocating for ethical research practices. The Robomechanics Lab emphasizes ethical research, academic reform, equitable access, and community support. It develops full-stack frameworks like Quad-SDK and conducts field experiments in diverse environments—from deserts to power plants—pushing the boundaries of where robots can go and what they can do.
John Salmon is an Associate Professor in the Mechanical Engineering department at Brigham Young University's College of Engineering. He holds a B.S. and M.S. in Electrical Engineering from the University of Calgary and Utah State University respectively, followed by an M.S. and Ph.D. in Aerospace Engineering from Georgia Institute of Technology. Prior to his academic career, he worked for four years as a Research Engineer at the Aerospace Systems Design Laboratory collaborating with industry and government partners including NASA, Lockheed Martin, and General Electric. His research spans multiple interdisciplinary domains including: systems engineering and design integration, multi-disciplinary optimization, operations research, visual and data analytics, modeling/simulation, multi-agent decision making, sports analytics, virtual reality, and uncertainty analysis. Current projects include the Good Idea or Bad Idea initiative exploring innovative engineering solutions. Analysis of his recent publications reveals strong focus on three primary clusters: (1) Human-robot collaboration and soft robotics control strategies, (2) Optimization techniques for autonomous aerial systems, and (3) Data-driven sports analytics frameworks. His work consistently combines theoretical modeling with practical applications in aerospace, robotics, and sports engineering. Dr. Salmon maintains an active advising program with 4 current MS students (Jonathan Sadler, Carsten Christensen, Landon Willey, Ryan Day) and 10 graduated advisees since 2016. He teaches core mechanical engineering courses including ME 273 (Scientific Computing), ME 335 (Dynamic Systems), ME 578 (CAD/CAM), and ME 579 (Global Product Development).
Paul Shepherd is Professor of Computational Design in the Department of Architecture & Civil Engineering at the University of Bath. He is Co-Director of The Foundry: Centre for Digital, Manufacturing & Design and contributes to the Made Smarter Innovation: Centre for People-Led Digitalisation. His work bridges academia and industry, focusing on computational methods to enhance building performance and sustainability. His research interests lie at the intersection of engineering, architecture, and digital technology. He specializes in computational design, structural optimization, robotic fabrication, additive manufacturing in construction, and digital twin applications. His work aims to reduce embodied carbon in buildings through early-stage design interventions and advanced manufacturing techniques. He also explores how sensor data and adaptive systems can improve existing buildings’ performance. His recent publications reveal a strong trend toward automated and sustainable construction technologies, particularly in robotic filament winding, aerial 3D printing, and segmented concrete shell design. These works emphasize interdisciplinary collaboration, human-computer interaction in design tools, and material innovation for digital fabrication. Paul actively contributes to public engagement in engineering, frequently presenting to school audiences to promote STEM education and inspire future engineers. He also serves on the Institution of Structural Engineers’ “Digital Workflows and Computational Design” Panel. He leads and participates in significant research projects funded by EPSRC, UKRI, and Innovate UK, including initiatives on people-led digitalization, building retrofit, and industrial collaboration (e.g., KTP with Tensys Limited). His work supports multiple UN Sustainable Development Goals, particularly those related to sustainable cities and climate action. Paul is involved in several research centers and labs, most notably The Foundry, which focuses on digital manufacturing and design innovation. His team works on integrating advanced computational tools with real-world construction challenges, fostering collaboration between engineers, architects, and industry partners.
Ahmed Hassan is an Associate Professor in the Department of Electrical Engineering at the University of Missouri-Kansas City (UMKC), School of Science and Engineering. He is the founder and director of the Multidisciplinary Multiscale Electromagnetics Lab (MMEL), where he conducts cutting-edge research in applied electromagnetics with applications in nanotechnology, medicine, and defense. Education: Ph.D. in Electrical Engineering, University of Arkansas, 2010 M.S. in Electronics and Communication Engineering, Cairo University, 2006 B.S. in Electronics and Communication Engineering, Cairo University, 2004 Research Interests: His expertise spans applied electromagnetics, nanoelectromagnetics, bioelectromagnetics, computational electromagnetics, electromagnetic compatibility (EMC), and microwave/terahertz imaging. He employs both computational and experimental methods to solve real-world challenges in materials, biomedical sensing, and defense systems. His work often integrates machine learning and high-performance computing for electromagnetic modeling. Publication Trends: His recent research focuses on carbon nanotubes, plasmonic sensors, UAV electromagnetic compatibility, and biomedical applications of microwaves. He frequently uses characteristic mode analysis, computational modeling, and experimental validation to advance understanding in multiscale electromagnetics. Scientific Awards: University of Arkansas College of Engineering Early Career Alumni Award (2021) IEEE Senior Member (2019) UMKC Chancellor’s Early Career Award for Excellence in Teaching (2018) Elected Full-Member, U.S. National Committee for URSI (2018) CS&EE Excellence in Teaching Award (2017) Sigma Xi Outstanding Poster Award, NIST (2014) Doctoral Academy Fellowship, University of Arkansas (2007–2010) Cairo University Faculty Prize (1999–2004) Advising and Grants: Dr. Hassan has advised numerous PhD and MS students, many of whom have received research grants and awards. His lab is supported by major funding from DARPA, NSF, ONR, NIST, and industry partners like Zoloz. Projects include counter-drone technologies, biometric sensing, and nanoscale electromagnetic modeling. He actively recruits PhD students with strong computational or experimental backgrounds. Labs and Teams: The MMEL Lab is equipped with advanced hardware including vector network analyzers, SEM, and high-performance computing workstations, and software tools like COMSOL, FEKO, CST, and HFSS. The lab fosters interdisciplinary collaboration across engineering, physics, and medicine.
Norman M. Wereley is the Minta Martin Professor of Aerospace Engineering at the University of Maryland's College of Engineering, directing the Composites Research Laboratory (CORE). He holds roles as InnoVital Systems Faculty Fellow and Keystone Professor. His research focuses on smart materials like magnetorheological fluids, active vibration control systems, and aerospace applications including helicopter dynamics and crashworthiness. He has authored over 300 publications and received numerous awards, including CAMX Technical Paper Awards and Fellowships from AIAA and ASME. Key affiliations include the Maryland Robotics Center and Alfred Gessow Rotorcraft Center. Education includes a Ph.D. (1990) and M.S. (1987) from MIT, and a B.Eng. from McGill University (1982). His work spans advanced materials, fluid dynamics, and robotics, with applications in biomedical devices and autonomous systems. Notable contributions include the first organ transplant flight via VTOL drone and pioneering studies on adaptive energy absorbers. Research interests emphasize magnetorheological fluids' rheology, structural health monitoring, and bio-inspired actuators. His lab develops materials for aerospace, medical, and robotic systems. Recent work includes tunable energy-absorbing foams and 3D-printed composites. Awards highlight his impact in materials science and engineering education. Lab activities include the Composites Research Laboratory (CORE) and collaborations with NASA and industry. He serves on editorial boards for journals like Smart Materials and Structures . His work bridges fundamental material science with applied engineering solutions.
Professor Michael Papoutsidakis is affiliated with the Department of Industrial Design and Production Engineering at the University of West Attica. His academic career spans research in industrial automation, mechatronics, and intelligent control systems, with a focus on applications in hydraulic/pneumatic systems, robotics, and Industry 4.0 technologies. PhD from Bristol Robotics Laboratory (2004) MSc in Automatic Control Systems from University of the West of England (2004) Graduated from TEI Piraeus Automation Engineering (2000) His research interests include: Modeling of fluid power systems AI-driven control algorithms Smart logistics and ERP systems Embedded systems for motion devices Autonomous robotic platforms Wireless sensor networks in industrial applications Recent publications highlight his work at the intersection of 3D printing, robotics, and Industry 4.0, including advancements in digital twins, biomimetic manufacturing, and drone technology. His research emphasizes practical implementations for industrial and educational contexts. 2005 Patent for robotic training base 2025 Digital Twin Systems research 2024 UAV fuzzy control systems Contact: mipapou@uniwa.gr
Vasilios Papadakis serves as an Assistant Professor at the University of West Attica with over two decades of international research and teaching experience spanning Delft University of Technology, Foundation for Technology and Research, University of Crete, and Hellenic Mediterranean University. His expertise centers on non-destructive testing, multispectral imaging, and diagnostic methodology development for material surface analysis under stress conditions. His academic foundation includes dual doctoral achievements: PhD in Spectral Tissue Imaging (Medical School, University of Crete) PhD in Organismal Behavior Observation via Machine Vision (Department of Biology, University of Crete) Dr. Papadakis' research integrates optical physics and engineering to pioneer diagnostic solutions. Core focus areas include: Spectroscopic characterization through Raman, infrared, and fluorescence techniques Material differentiation based on spectral signatures Optoelectronic device design for industrial information systems Dynamic surface analysis during stress exposure Analysis of his 150+ publications reveals dominant themes in Industry 4.0 implementation and sustainable manufacturing . Recent work demonstrates cross-disciplinary impact through 3D-printed infrastructure, biomimetic drone components, and machine learning-driven predictive maintenance systems—bridging theoretical mathematics with practical engineering solutions. As an educator, he teaches foundational engineering mathematics (Linear Algebra, Calculus) and specialized courses including Strength of Materials and Unmanned Aerial Systems. His pedagogical innovations feature low-cost robotics platforms like DuBot and sustainability integration through upcycled materials in mechatronics labs. He directs the Non-Destructive Testing and Systems Diagnosis Methodologies Laboratory , where his team develops imaging solutions for industrial quality control, with particular emphasis on stress-induced surface phenomena and embedded diagnostic systems for material science applications.
Professor Jerome Jouffroy is affiliated with the University of Southern Denmark under the Faculty of Engineering and Science , specializing in Mechanical and Electrical Engineering . His work bridges theoretical control systems research with practical applications in robotics, marine engineering, and mechatronics. Research Focus: Control systems design, autonomous vehicles, marine stabilization, and 3D-printed mechatronics. Collaborations: Active in international networks, particularly in drone cooperative control and marine systems. Projects: Supervised research on drone load handling and energy-efficient UAVs. His publications highlight advancements in quadrotor control , modulating function methods , and marine vessel stabilization . Recent work explores tilt-rotor energy efficiency and cooperative drone systems. Despite extensive media engagement (e.g., defense industry AI applications, offshore wind drone servicing), no formal scientific awards are listed. Teaching includes Control Systems and interdisciplinary team projects.
Mustafa Güven Gök serves as Associate Professor in the Department of Metallurgy and Materials Engineering at Gaziantep University's Faculty of Engineering since 2024, following academic appointments at Hakkari University (2016-2022) and Istanbul Technical University (2012-2016). His research bridges fundamental materials science with industrial applications in aerospace, energy, and biomedical sectors. His educational background includes: Ph.D. in Metallurgical and Materials Engineering, Istanbul Technical University (2015) M.Sc. in Metallurgy Education, Fırat University (2010) B.Sc. in Metal Teaching, Fırat University (2008) Dr. Gök specializes in powder metallurgy techniques, thermal barrier coatings for extreme environments, and biomaterials development. His experimental work combines spark plasma sintering, finite element analysis, and advanced characterization to solve engineering challenges in gas turbine components, hip implants, and diesel engines. Current projects focus on lattice structures for air-cooled blades and CMAS-resistant coatings. Analysis of his 15 most recent publications (2020-2025) reveals three dominant research thrusts: (1) Next-generation thermal barrier coatings using La 2 Zr 2 O 7 and gadolinium zirconate systems with enhanced hot corrosion resistance; (2) Computational design of lattice structures for weight reduction in aerospace components; (3) Development of self-healing ceramics and hydroxyapatite composites for orthopedic applications. No major scientific awards or fellowships are documented in available records. He has supervised one Master's thesis on high manganese steels and secured eight research projects: Principal investigator: Nickel foam production (2020), Self-healing ceramics (2017) Co-investigator: Biomedical alumina-zirconia composites (2012-2014), Thermal barrier coatings for engines (2014-2020), Advanced manufacturing processes (2022-2023) As symposium co-chair for the 4th International Materials Technologies and Metallurgy Conference (MTM 2025), he leads collaborative research efforts at Gaziantep University's materials characterization laboratory, focusing on high-temperature materials processing and computational materials engineering.
Emily Arnold is an Associate Professor in the Department of Aerospace Engineering at the University of Kansas, where she also serves as Graduate Program Director. Her research centers on multifunctional aerospace structures, remote sensing technologies, and unmanned aerial systems (UAS) for glaciological applications. Key trends in her recent publications highlight advancements in reconfigurable radar systems for UAS-based ice and snow sounding, wing-mounted antenna design under flight stress, and 3D-printed microwave components. She merges aerospace structural analysis with electromagnetic simulation to enhance UAV sensor performance in polar environments. NSF CAREER Award (2019) for UAS radar systems NSF MRI Grant (2022) for radar instrumentation Her work at CReSIS (Center for Remote Sensing of Ice Sheets) supports Operation IceBridge and COLDEX projects, focusing on oldest ice core exploration. She explores the intersection of structural dynamics, microwave engineering, and environmental monitoring via airborne platforms.
Ying Liu is Professor and Chair in Intelligent Manufacturing at Cardiff University's Mechanical and Manufacturing Engineering department, where he leads the High-value Manufacturing Group and directs his eponymous research lab. His affiliations include continuous roles at Cardiff since 2018, emphasizing leadership in industrial digitalization. His research spans: AI/ML Engineering : Generative design, LLMs for manufacturing Q&A, and synthetic data generation. Smart Manufacturing : Digital twins for predictive maintenance, human-robot collaboration, and sustainable production. Industrial Informatics : Knowledge graphs for fault diagnosis and multi-domain data fusion. Recent publications (2022-2025) show a focus on Industry 5.0, with 63% emphasizing AI integration (deep learning, Transformers) and 37% addressing sustainability (energy optimization, circular economy). Trends indicate growing work on human-centric systems and LLM-driven industrial automation. He leads Ying Liu's Lab , which pioneers projects in cyber-physical systems, collaborative robotics, and battery digital twins. No awards or grants are detailed, but his editorial roles (e.g., Journal of Manufacturing Systems special issues) highlight scholarly influence.
Dr. Scott Adams serves as a Senior Lecturer at Deakin University within the Faculty of Science Engineering and Built Environment, School of Engineering, and is affiliated with the Centre for Sustainable Bio-Products. His research spans multiple engineering disciplines with a strong emphasis on sustainable technologies, artificial intelligence applications, and biomedical device development. Dr. Adams earned his Doctor of Philosophy and dual Bachelor degrees (Engineering with Honours and Information Technology with Distinction) from Deakin University. His academic journey progressed from Postdoctoral Research Fellow (2019-2022) to his current Senior Lecturer position. His research interests focus on data management and data science, electronics and sensor technology, control engineering, mechatronics, robotics, and biomedical engineering . His work demonstrates particular expertise in sustainable waste management systems, AI-driven monitoring solutions, and neural interface technologies. Dr. Adams has developed innovative approaches to tyre recycling, solar panel inspection, greenhouse monitoring, and neural microprobes with adaptive stiffness. An analysis of his recent publications reveals a strong trend toward sustainable engineering solutions with applications in waste recycling (particularly end-of-life tyres and solar panels), AI-enhanced monitoring systems for environmental and agricultural applications, and advanced biomedical devices featuring novel materials and control systems. His interdisciplinary approach bridges mechanical engineering, computer science, and environmental science. Dr. Adams actively supervises numerous doctoral students across diverse engineering projects and has secured substantial research funding through multiple industry collaborations. His grants portfolio includes significant projects such as the Commercialisation of an Automated Mobile EOL Solar PV Panel Recovery Plant ($345,925), End of Life Tyres to Green Hydrogen ($23,745,206), and various contracts with rail companies, energy firms, and agricultural technology developers. His teaching responsibilities include units such as SEE216 - Analogue and Digital Electronics, SEJ102 - Electrical Systems Engineering Project, and SEE711 - Sensor Networks. Dr. Adams has developed several innovative devices including the SmartStim AI-enabled deep brain stimulation device, AgriGlow IoT multi-spectral light sensing system, and automated soil gas monitoring technology, demonstrating his commitment to translating research into practical applications.
Dr. Uttam Kumar Chakravarty is a Professor and Huntington Ingalls Inc. Endowed Professor in the Department of Mechanical Engineering at the University of New Orleans. He joined UNO in 2012 as an Assistant Professor, became Associate Professor in 2018, and currently holds the rank of Professor. Previously, he served as a Postdoctoral Fellow at Georgia Tech and a National Research Council Research Associate at the U.S. Air Force Research Laboratory. Education: • Ph.D., Aerospace Engineering (Georgia Institute of Technology, GPA 4.00) • M.S., Aerospace Engineering (Georgia Institute of Technology) • M.S., Mechanical Engineering (Tuskegee University) • B.S., Mechanical Engineering (Bangladesh University of Engineering and Technology) Research Focus: Dr. Chakravarty leads research in computational/experimental mechanics, composite materials, fluid-structure interaction, and unmanned aerial systems design. His laboratory focuses on: • Finite element analysis of composite structures • Biomimetic wing design for drones • Advanced manufacturing techniques • Dynamics of smart materials Awards and Honors: • Early Career Creativity Award (UNO, 2017-2018) • 3x ASME Best Paper Awards (2013, 2014, 2019) • Student mentorship awards (2017-2020) • Competitive fellowships (NRC, Georgia Tech) He directs the Aerodynamics and Vibrations Laboratory (Chakravarty Research Group), which explores vertical lift systems and composite material innovation.
