Professor Melanie Dirks is the Department Chair of Psychology at McGill University, specializing in Clinical Psychology and Developmental Science . Her research focuses on mapping social and emotional skills across childhood, adolescence, and young adulthood, with emphasis on peer/sibling relationships and their impact on psychological symptoms. Uses multimodal methodologies: observational studies, daily diaries, emotion recognition tasks Current projects: friendship quality maintenance, interpersonal victimization in youth, emotional communication dynamics Key research themes from publications include: Peer Relationships : Dissolution patterns, prosocial behavior, bullying, and dating aggression Emotional Processing : Vocal emotion recognition, neural reward responses, stress-neuroimaging links Contextual Influences : Family dynamics, socioeconomic status, post-pandemic social changes Her lab ( CASC Lab ) trains students in advanced social-emotional assessment techniques, with notable advisees including *Morningstar, *Gilbert, and *Santucci. Google Scholar articles (2014-2025) demonstrate expertise in developmental psychopathology, social neuroscience, and cross-cultural mental health determinants.
Dr. Peter J. Robinson is an Honorary Research Fellow at the School of Electrical Engineering & Computer Science, The University of Queensland. His academic career spans over three decades, focusing on foundational research in programming languages, formal methods, and distributed systems. His work includes contributions to Qu-Prolog, a multi-threaded Prolog implementation, and TeleoR, a robotic task programming framework. Research interests include agent-based systems, blockchain security for aerospace applications, software verification, concurrent programming, and education technology. Notable projects include the Pedro publish/subscribe server and MyPyTutor, an interactive Python learning tool. He has collaborated on railway safety protocols and spacecraft control systems using blockchain. Publications span journals like Formal Aspects of Computing and conferences such as IEEE Symposium on Computers and Communications. Technical reports include work on unification algorithms and multi-agent verification frameworks. He has advised on projects involving IoT architectures and swarm intelligence simulations.
Veera Ragavan Sampath Kumar is a Senior Lecturer at the Malaysia School of Engineering, Monash University. With over 17 years of industrial experience in factory automation and systems integration, his research focuses on Industry 4.0, Cyber-Physical Systems, Robotics, and Machine Learning. He holds leadership roles in IEEE technical committees, including Co-Chair of the IEEE Working Group for Ontologies in Autonomous Robotics (IEEE1872.2 AuR). Research Interests: Industry 4.0, Cyber-Physical Systems, Real-time Embedded Systems, Robotics, Industrial IoT, Machine Learning Projects: Agriculture 4.0 (2023-2025), Model Synthesis Framework for CPS (2015-2018) Collaborations: IEEE Robotics and Automation Society, ASME, IEEE Standards Association His work aligns with UN SDGs, particularly in advancing sustainable manufacturing and technology. Teaching commitments include TRC2001 (Systems Engineering) and TRC3000 (Mechatronics Project II).
Alberto Vale is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Lisbon's Instituto Superior Técnico. His research focuses on robotics, control systems, nuclear fusion engineering, and autonomous systems. He is affiliated with the Institute of Plasmas and Nuclear Fusion and teaches courses such as Control of Cyber-Physical Systems and Autonomous Systems . His work emphasizes remote maintenance systems for nuclear facilities, radiation detection technologies, and mobile robotics applications. Research interests include: Advanced control strategies for cyber-physical systems Development of autonomous systems for nuclear fusion facilities Radiation detection and localization using drones and mobile robots Path planning and navigation in constrained environments Recent publications highlight innovations in fusion diagnostics (e.g., reflectometry systems for DEMO), LIDAR-based SLAM techniques, and optimization of autonomous fleets for solar farm inspection. He has received the EDA Research, Technology, and Innovation Papers Award 2023 and the Best Presentation Award .
Yuan Yao serves as an Assistant Professor in the Department of Information Technology at Uppsala University, Sweden. His academic role spans teaching and research within the Computer Systems division, focusing on cutting-edge computer architecture and parallel computing systems. He maintains active collaborations across international institutions, particularly in energy-efficient hardware design and emerging computing paradigms. His educational journey includes: B.S. in Micro-electronics from Northwestern Polytechnical University, China (2009) M.S. in System-on-Chip Design from KTH Royal Institute of Technology, Sweden (2014) Ph.D. in Electrical Engineering and Computer Science from KTH Royal Institute of Technology (2019) Yao's research centers on power and thermal management for chip multi-processors, Network-on-Chips (NoCs), and GPUs. He pioneers hardware/software co-design for high-performance computing, coherency mechanisms for emerging memory technologies, and performance analysis of on-chip networks. Recent work expands into neural network acceleration and battery-less Internet of Things architectures, reflecting a trajectory toward energy-constrained specialized systems. His methodology integrates formal modeling with practical implementation for real-world impact. Publication trends reveal consistent innovation in energy efficiency across parallel architectures. From foundational DVFS techniques for NoCs (2016-2018) to recent breakthroughs in battery-less IoT (2023-2024), his work demonstrates evolutionary progression toward novel computing domains. Key thematic threads include thermal-aware optimization, memory consistency protocols, and hardware acceleration for AI workloads, with applications spanning data centers to embedded systems. Scientific recognition includes: Best paper candidate at IEEE International Symposium on High Performance Computer Architecture (HPCA) 2018 for in-network packet generation research Yao actively supervises graduate researchers and leads collaborative projects in computer architecture. His grant portfolio supports work on battery-less IoT systems and neural network accelerators, though specific funding details aren't publicly enumerated. Current projects emphasize sustainable computing through novel architectures for energy-harvesting environments. He operates within Uppsala University's Computer Systems division, contributing to research groups focused on hardware acceleration, embedded systems, and networked architectures. His lab environment fosters interdisciplinary work bridging computer architecture, energy harvesting, and machine learning for next-generation computing platforms.
Prof. Dr. Ingmar Ickerott is a faculty member at Osnabrück University of Applied Sciences, affiliated with the School of Management, Kultur und Technik (MKT, Campus Lingen) under the University management department. His academic career spans over two decades, focusing on logistics management, digitalization in supply chains, and smart technology applications like Smart Glasses and Augmented Reality . Academic Background : Diplom-Kaufmann in Business Administration (2001), Ph.D. in Economics (2006). Professional Roles : Senior Project Manager at arvato (2008–2010), Professor since 2010, Dean of MKT since 2019, Vice President for Digitalization since 2019. His research emphasizes logistics innovation , Lean Management , and digital solutions in rural healthcare . Key projects include Land.Digital (2019–2022) and LEAN 4.0 (Erasmus+, 2019–2021). Publications since 2004 cover agent-based simulation , Smart Device economics , and AR in logistics . He actively lectures on topics like Logistics 4.0 and Digital Onboarding . Projects & Grants : Land.Digital : €165,000+ (Erasmus+), 2019–2021. Dorfgemeinschaft 2.0 : €1.46M (BMBF), 2015–2021. Glasshouse : €208,557 (BMBF), 2015–2019.
Zehui Lu is a Visiting Assistant Professor at the Department of Aeronautics and Astronautics, Purdue University. Their research focuses on robotics, control systems, autonomous systems, and optimization, with applications in multi-agent systems, aerospace engineering, and battery management. Dr. Lu’s work integrates machine learning techniques with advanced control methodologies to address challenges in trajectory planning, distributed algorithms, and real-time mission execution in complex environments. Key research trends in their publications emphasize distributed optimization for multi-robot systems, adaptive control strategies for autonomous navigation, and deep learning-based approaches for dynamic system modeling. Notable contributions include innovations in spacecraft swarm coordination, battery network management under extreme conditions, and human-in-the-loop robotic formation control. Dr. Lu’s interdisciplinary work bridges theoretical control frameworks with practical engineering implementations, particularly in aerospace and mechatronics domains. No scientific awards or grants are explicitly listed in the provided information. Advising details are not available, but their research group actively explores topics such as adaptive policy learning, distributed motor-motion co-design, and real-time cluttered environment navigation. The full scope of their lab activities and collaborations remains unspecified in the current data.
Graham Riley is a Lecturer in the School of Computer Science at the University of Manchester and holds a part-time position in the Scientific Computing Department (SCD) at STFC, Daresbury. His research focuses on high performance computing (HPC), software engineering for scientific computing, and performance modeling for parallel machines. Key areas include techniques for developing HPC applications, software architectures for coupled modeling, and performance control in distributed systems. His work emphasizes collaboration with computational scientists in domains such as Earth System Modelling (e.g., UK Met Office), computational chemistry, and biology. He has contributed to projects like the EuroExa architecture for exascale computing and the LFRic weather/climate model porting to FPGAs. Riley's research also explores energy efficiency in HPC systems and FPGA acceleration strategies for scientific workloads. Notable contributions include studies on parallelization strategies, FPGA-based acceleration of climate models, and optimizing OpenCL for heterogeneous architectures. His work aligns with UN Sustainable Development Goals, particularly through contributions to climate modeling and sustainable computing practices. Riley collaborates with institutions like the Met Office and the ESM community in Europe/US. His academic profile reflects a balance between theoretical research and practical application, with a strong focus on bridging computational science and engineering challenges.
Inseung Kang is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads the MetaMobility Lab, where his interdisciplinary research focuses on enhancing human mobility through robotics, wearable systems, and artificial intelligence. His work integrates mechatronic design, deep learning, control theory, and biomechanics to develop intelligent assistive technologies such as robotic exoskeletons for individuals with motor impairments. Education: Ph.D., Mechanical Engineering, Georgia Tech, 2021 M.S., Mechanical Engineering, Georgia Tech, 2018 B.S., Mechanical Engineering, Georgia Tech, 2016 Dr. Kang's research interests span wearable robotics, rehabilitation robotics, medical robotics, control theory, human sensorimotor systems, neural engineering, neuroscience, signal processing, and AI-driven human-robot interaction. His lab emphasizes the development of adaptive, user-aware robotic systems that can optimize assistance across diverse locomotor tasks, such as walking, stair climbing, and slope navigation. By combining physics-informed simulations, computer vision, and real-time sensor feedback, his team aims to create intuitive, personalized wearable interventions. The recent publications highlight a strong trend in machine learning-based control, real-time gait phase estimation, joint moment and kinematics prediction, and human-in-the-loop optimization. These works reflect a cohesive research agenda focused on making exoskeletons more intelligent, responsive, and clinically viable. The integration of deep learning with biomechanical modeling enables rapid adaptation to user needs and environmental changes. Scientific Awards: No awards listed in the provided text. Dr. Kang advises students in the MetaMobility Lab, supervising research on wearable robotics, control systems, and human movement analysis. His lab is equipped with advanced mechatronic platforms, robotic exoskeletons, and sensor systems for real-time data acquisition. He has not received any named grants in the provided text, but his research is clearly funded through institutional and possibly federal support. The lab fosters collaboration across engineering, neuroscience, and rehabilitation disciplines. Laboratory & Team: The MetaMobility Lab at CMU is dedicated to pioneering next-generation wearable robotics. The team works on developing mechatronic platforms, AI algorithms, and control frameworks that enhance human mobility. Their focus includes powered hip and knee exoskeletons, gait stability, and personalization techniques using computer vision and wearable sensors.
Emrah Demir is a Professor of Operational Research in the Department of Logistics and Operations Management at Cardiff Business School, Cardiff University . Prior to this, he was an Assistant Professor at Eindhoven University of Technology, Netherlands. He holds a PhD in Management Science from the University of Southampton and degrees in Industrial Engineering from Baskent University, Turkey. Education: PhD in Management Science, University of Southampton, UK (2012) MSc in Industrial Engineering, Baskent University, Turkey (2008) BSc in Industrial Engineering, Baskent University, Turkey (2005) His research centers on green logistics, artificial intelligence, human/AI collaborative decision-making, and operational research , with a focus on optimizing freight transportation and supply chains for sustainability. He applies quantitative and analytical methods—including exact and heuristic optimization techniques—to address real-world logistics challenges. His recent work explores AI-driven routing, drone and robot delivery, maritime emissions, and behavioral aspects of algorithm adoption. The analysis of his recent publications reveals a strong integration of AI, sustainability, and logistics optimization . Key themes include last-mile delivery with autonomous systems, green vehicle routing, maritime decarbonization, and human-AI collaboration in decision-making. His work spans both theoretical modeling and practical applications in industry contexts, particularly with Ocado and in international sustainability initiatives. Scientific Contributions and Editorial Roles: Area Editor, Journal of Heuristics (Logistics and Supply Chain Management) Associate Editor, IMA Journal of Management Mathematics Associate Editor, Frontiers in Future Transportation – Freight Transport and Logistics Associate Editor, OR Spectrum Associate Editor (Engineering), Arabian Journal for Science and Engineering (from 2025) He has secured multiple external grants, including from the Colombia-UK PACT Programme (GIRO-ZERO) and Ocado Group plc , focusing on decarbonizing freight and optimizing supply chains. He supervises several PhD students on topics such as driver behavior, AI collaboration, and greenhouse gas emissions in shipping. He has held academic leadership roles including Programme Director for the MSc in Logistics and Operations Management and Deputy Head of Section for Learning & Teaching. Research Labs and Teams: He is affiliated with the Logistics and Systems Dynamics Group (LSDG) , Co-Director of the PARC Institute of Manufacturing, Logistics and Inventory , and Director of the Business & Economics Artificial Intelligence Research (BEAR) Network , reflecting his interdisciplinary engagement in AI, logistics, and sustainable operations.
Femke Ongenae is an Associate Professor at Ghent University's Faculty of Engineering and Architecture within the Department of Information Technology . She leads research at the IMEC postdoctoral level in areas bridging eHealth, predictive healthcare, and knowledge graph technologies . Her work focuses on context-aware systems, stream reasoning, and hybrid AI for healthcare and smart infrastructure applications. Key research domains: Artificial Intelligence , Health Informatics , Knowledge Graphs Leadership roles: Digital Innovation for Man and Society research unit, eBehaviourChange group Her recent publications (2023-2025) highlight advancements in: Semantic rule mining for decision support systems Anomaly detection in healthcare and water networks Context-aware machine learning for COPD and migraine monitoring Knowledge graph embeddings for industrial process monitoring Collaborative projects involve: Developing INK framework for knowledge graph rule mining Building DIVIDE system for adaptive IoT querying Creating MASSIF platform for semantic IoT services Advancing stream reasoning for real-time healthcare applications
Herman Bruyninckx is a Professor at the Faculty of Engineering Sciences , KU Leuven , where he also serves as Vice-Chair of the Department of Mechanical Engineering and head of the Robotics, Automation and Mechatronics (RAM) subdivision. His research focuses on integrating formally represented domain knowledge into robotic systems for real-time, self-explanatory, and certifiable control. He advocates for open standards and software engineering practices in robotics, with a career-long emphasis on knowledge-driven robotic systems over data-driven approaches.
François Chaumette is a Senior Research Scientist (Directeur de recherche) at Inria, affiliated with IRISA and the Centre Inria de l'Université de Rennes. He has been a key researcher in robotics and computer vision since 1990 and led the Lagadic research team from 2004 to 2017. His research interests are centered on robot vision, particularly visual servoing and active perception . He has made foundational contributions to image-based and position-based visual servoing, and his work integrates control theory, computer vision, and robotics. His research spans applications in mobile robotics, aerial systems, medical robotics, space robotics, and soft object manipulation. The recent publications highlight a consistent focus on visual servoing under complex constraints—such as motion blur, occlusions, and deformations—applied to drones, cable-driven robots, and space systems. There is a strong emphasis on robustness , stability analysis , and hybrid sensing (e.g., vision + proximity, vision + force). His work with the RemoveDebris mission demonstrates real-world impact in space robotics. AFCET/CNRS Prize for best Ph.D. in Automatic Control Best paper awards at RFIA 1996 & 2004 Best paper in IEEE T-RA (2002) Best paper in IEEE RA-L (2019) Best paper in IEEE RAM (2020) IEEE Fellow (2013) He has advised over 30 Ph.D. students, many of whom have become active researchers in robotics. He has served in editorial roles for top journals including IEEE Transactions on Robotics , IEEE Robotics and Automation Letters , and the International Journal of Robotics Research . He was elected to the IEEE RAS Administrative Committee (2016–2018) and served on ERC grant panels for robotics. Chaumette is the main developer of ViSP (Visual Servoing Platform), a widely used C++ library for visual tracking and servoing. His leadership in both theoretical advances and software tools has significantly shaped the visual servoing community.
Xiliu Yang is a Research Associate at the Institute of Computational Design and Construction (ICD) , University of Stuttgart. Bachelor of Arts in Architecture, University of Hong Kong Master of Science (Distinction), ITECH programme, University of Stuttgart Her research explores the intersection of human–robot collaboration (HRC) , augmented reality (AR) systems , and timber prefabrication . She investigates how AR interfaces can enhance multi-user workflows with industrial robots, focusing on safety protocols, task allocation, and user agency in automated environments. Recent publications highlight her work on large-scale multi-human-robot systems , error-handling in AR-assisted construction , and asymmetric AR instruction methods . Her studies often involve industry partnerships and real-world fabrication demonstrators, such as the livMatS biomimetic shell and Spatial Lacing composite systems. Scientific Awards: IntCDC Thesis Grant Research Residency at Autodesk Technology Centre She previously co-founded 3DNA , a startup developing cloud-based platforms for eyewear manufacturing, and contributed to distributed robotic platforms for fibrous material fabrication.
Stephan Werner is a researcher at the Department of Electrical Engineering and Information Technology, Technische Universität Ilmenau, leading the Electronic Media Technology Group as acting head. His work focuses on auditory perception, spatial audio processing, and binaural synthesis for augmented/virtual reality applications. Research Interests Werner's research explores spatial audio, room acoustics, and perceptual modeling. Key areas include audiovisual coherence in AR, reverberation time estimation, and auditory adaptation in immersive environments. His projects address applications in education, intergenerational communication, and human-robot interaction. Publication Trends Recent work spans acoustic modeling for AR/VR, perceptual analysis of room divergence, and privacy-preserving mixed reality systems. Collaborative efforts with institutions like IEEE and Audio Engineering Society highlight technical and societal implications of audio technology. Laboratory As head of the Electronic Media Technology Group, he leads interdisciplinary research in auditory illusions, spatial audio quality, and immersive media production, often collaborating with international conferences and technical committees.
