Libo Chen is an Assistant Professor at Uppsala University's Department of Electrical Engineering; Solid State Electronics. His work focuses on neuromorphic tactile systems, bioinspired e-skin, and self-powered transducers. Research Interests : Neuromorphic engineering for tactile feedback Stretchable and self-healing electronics Energy harvesting for bioinspired systems Triboelectric transducers and sensors Surface chemistry of mesoporous materials Publication Trends : Over the past five years, Chen has published in interdisciplinary areas spanning Materials Science , Neuroengineering , and Chemical Physics , with a focus on tactile systems, self-healing materials, and hybrid energy applications. Labs & Teams : He is affiliated with Uppsala University's Ångström Laboratory, a hub for advanced materials and electronics research.
Houtan Jebelli is an Assistant Professor in Civil and Environmental Engineering at the University of Illinois. His research focuses on construction robotics, human-robot collaboration, and wearable sensing technologies for worker health and safety monitoring. He directs research on exoskeleton applications, fall risk detection, and AI-enabled monitoring systems for construction environments. Research interests include: Human-robot collaboration in construction sites Physiological monitoring using wearable sensors Exoskeleton technology and ergonomic assessment AI-enabled safety management systems Robotic inspection and defect detection Jebelli's recent work demonstrates strong interest in bridging robotics with occupational health, particularly studying cognitive and physiological impacts of wearable robotics. His publications frequently address real-time monitoring systems and human factors in construction technology adoption.
Rob van Beers is an Assistant Professor at the Faculty of Behavioural and Movement Sciences at Vrije Universiteit Amsterdam, with affiliations to Neurocontrol, IBBA, and AMS - Sports. His research focuses on human motor control, spatial perception, and computational modeling using Bayesian approaches to understand sensory-motor integration under uncertainty. He holds ancillary roles as a Researcher at Radboud University (Nijmegen) since 2015 and serves on the Editorial Board of the Journal of Neurophysiology since 2015. His work contributes to UN Sustainable Development Goals related to health and well-being. Key research interests include motor learning dynamics, sensorimotor adaptation, and the neural basis of spatial orientation. Recent studies explore Alzheimer’s impacts on motor adaptation and Bayesian inference in vestibular path integration. Teaching responsibilities include courses on linear systems dynamics, physical measurement techniques, and motor systems regulation. His work spans 42 peer-reviewed articles, with datasets published on platforms like Dryad and Zenodo.
Mehrtash Tafazzoli Harandi is an Associate Professor in the Department of Electrical and Computer Systems Engineering at Monash University, part of the Faculty of Engineering. His research focuses on machine learning and computer vision, particularly visual data analysis, with contributions to geometric deep learning, continual learning, and medical imaging. He holds editorial roles at IET Computer Vision , Frontiers in Imaging , and Journal of Imaging . Education & Previous Affiliations: Prior to Monash, he worked at NICTA (Canberra & Queensland Research Labs) and CSIRO-Data61. His Erdős number is 4 via a collaboration path through Richard Hartley. Research Interests: His work spans geometric learning, diffusion models, medical image analysis, and sustainable AI applications. Key areas include unlearning mechanisms in AI, 3D reconstruction compression, and robust MRI reconstruction using contrastive learning. Grants & Projects: He leads projects funded by ARC, US Air Force, and industry collaborations, including 'Can Machines Unlearn?' (ARC, A$790k) and 'Exploiting Geometries of Learning' (ARC, A$420k). His work addresses challenges in lifelong learning, model adaptation, and trustworthy AI from limited data. Awards: Recipient of Best Recognition Paper (IEEE DICTA 2013), NICTA Impact Award (2015), and multiple outstanding reviewer recognitions at top conferences. Teaching: Teaches courses on neural networks, computer vision, and advanced data analysis at Monash University. Supervises PhD students with a focus on mathematical and computational proficiency. Labs/Teams: Collaborates with the Australian Center for Robotic Vision (ACRV) and contributes to interdisciplinary projects at CSIRO-Data61. His research group explores cutting-edge AI applications in healthcare, manufacturing, and environmental sustainability.
Professor Washington Yotto Ochieng serves as Head of the Department of Civil and Environmental Engineering and Chair Professor in Positioning and Navigation Systems at Imperial College London. He directs the Centre for Active Resilience and Security (CARS) and maintains key affiliations with the Centre for Systems Engineering and Innovation, Centre for Transport Engineering and Modelling, Institute for Molecular Science and Engineering, and Space Lab. His extensive advisory roles include the Science Museum Group Board of Trustees, Royal Institute of Navigation Presidency, and Royal Academy of Engineering Africa Steering Committee. His educational background includes a BSc (First Class) in Engineering from the University of Nairobi and MSc (Distinction) and PhD in Civil Engineering from the University of Nottingham. He received an honorary DSc from Technical University of Kenya in 2023. Ochieng's research pioneers critical infrastructure resilience, user-centric mobility, and positioning/navigation/timing (PNT) systems. He has designed satellite navigation systems (including Europe's EGNOS and GALILEO) for multi-domain applications and advanced Air Traffic Management and Intelligent Transport Systems. His work integrates geomatics, transportation engineering, and sustainable mobility to solve global urban infrastructure challenges, with recent emphasis on decarbonization and AI-driven solutions. His 2024-2025 publications reveal strong trends in sustainable transportation decarbonization, AI-optimized traffic management, and resilient urban positioning systems. Research focuses on hydrogen fuel cell trains, carbon-efficient aviation, and deep reinforcement learning applications for emission reduction, demonstrating interdisciplinary integration of engineering, environmental science, and artificial intelligence to address climate challenges. Fellow of the Royal Academy of Engineering (2013) Harold Spencer-Jones Gold Medal from Royal Institute of Navigation (2019) Doctor of Science (honoris causa) from Technical University of Kenya (2023) Elder of the Order of the Burning Spear (EBS) from Kenya (2023) Commander of the Order of the British Empire (CBE) (2024) Ochieng provides strategic guidance to UK Government bodies (Government Office for Science, Department for Transport, FCDO), European Parliament, and European Court of Auditors. His advisory work shaped the Blackett Review on Satellite-derived Time/Position, UK Space Strategy, and Future of Mobility report. He chairs the Science Museum London Advisory Board and leads FCDO's Sustainable Urban Economic Development program in Africa, with significant grant influence through UK National Physical Laboratory and Department for International Development. He directs the Centre for Active Resilience and Security (CARS) and leads Space Lab initiatives, focusing on mission-critical PNT systems and infrastructure resilience. His teams collaborate with international consortia including RTCM Special Committee 134 and US Institute of Navigation, developing next-generation navigation solutions for safety-critical applications across transport, aviation, and urban environments.
Sina Sareh is a robotics researcher at the Royal College of Art (RCA), where he leads the RCA Robotics Laboratory within the School of Design. He has established himself as an expert in soft robotics and multimodal sensing, developing innovative solutions for human safety and access problems in industrial operations. Dr. Sareh's educational background includes: PhD in Robotics from the University of Bristol, where he worked on monolithic design of flexible actuators for operation in confined liquid environments MSc in Control Systems from the University of Sheffield BSc in Electrical Engineering from Amirkabir University of Technology, Tehran Dr. Sareh's research focuses on soft robotics, multi-modal mobility, manipulation and attachment, and multimodal sensing. His work bridges the gap between robotics engineering and practical applications, particularly in medical and industrial settings. He has developed novel approaches to robotic attachment inspired by octopus biology, created haptic interfaces that mimic the feeling of touching human internal organs, and designed soft robotic technologies to help articulate pain symptoms. His research consistently demonstrates innovation in creating adaptable robotic systems that can operate effectively in complex, unstructured environments where traditional rigid robots face limitations. His publication record demonstrates a strong trajectory in robotics research, with emphasis on soft robotics, medical applications, and novel sensing techniques. The research shows progression from fundamental soft actuator design to practical applications in surgery, industrial operations, and human-robot interaction, with a consistent focus on solving real-world problems through biologically inspired approaches. Dr. Sareh has successfully secured multiple research grants, including EPSRC funding for 'Getting a Grip' and 'Multi-vendor Interoperability in Robotics,' as well as InnoHK funding for 'Intelligent Medicine Warehousing.' He has also served as an impact assessor for the Research Excellence Framework (REF) 2021 in Engineering and is a member of the editorial board at IET Cyber-physical Systems and Robotics Journal. Currently, Dr. Sareh advises research students including Filippo Sanzeni, and maintains active collaborations with industry and academic partners through the RCA Robotics Laboratory, which serves as a hub for interdisciplinary robotics research at the intersection of design, engineering, and human-centered applications. His work on projects like 'Topographies of Pain' and 'Reminisys' demonstrates a commitment to applying robotics technology to improve healthcare outcomes and quality of life.
Jung Yun Bae serves as Assistant Professor in Mechanical and Aerospace Engineering at Michigan Technological University with a secondary appointment in Applied Computing within the College of Computing, joining MTU in 2019 after five years as Research Professor at Korea University's Intelligent Systems and Robotics Laboratory. Her academic credentials include: PhD in Mechanical Engineering from Texas A&M University MS in Mechanical Engineering from Hongik University BS in Mechanical Engineering from Hongik University Dr. Bae's research program centers on Robotics with emphasis on Multi-robot systems, particularly Coordination of Heterogeneous Robot Teams and Vehicle Routing Problems. Her work develops operational strategies for multi-agent autonomous vehicle systems through Multi-robot System Control and Optimization techniques, extending to Autonomous Navigation and Operational Research applications. Current investigations focus on underwater robotics coordination and neuroevolution approaches for connected vehicle systems. Analysis of her recent publications reveals consistent focus on workload-balanced task allocation for heterogeneous robot teams across challenging environments. Her underwater robotics research addresses tether management and entanglement avoidance, while neuroevolution applications target autonomous vehicle control at uncontrolled intersections and hybrid powertrain optimization, bridging robotics with operations research and artificial intelligence. Prior to MTU, Dr. Bae maintained affiliation with Korea University's Intelligent Systems and Robotics Laboratory. Her current work at MTU connects with the Great Lakes Research Center context, though specific laboratory details aren't provided in available materials.
Michael Haller is a Full Professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy, where he serves as founder and director of the Media Interaction Lab. Based at NOI Techpark, his work focuses on next-generation human-computer interfaces, leading a team of over 10 researchers and students in developing innovative interaction technologies for automotive and wearable applications. He earned his Dipl.-Ing. (1997), Dr. techn. (2001), and Habilitation (2007) degrees from Johannes Kepler University of Linz, Austria. Haller's research centers on Human-Computer Interaction with specialized expertise in Smart Textile Interfaces, Physical Prototyping, and Ubiquitous Computing. His lab pioneers user-centered design of next-generation interfaces through industry collaborations with BMW, KTM, SEFAR, and Tratter Engineering. Current work emphasizes sustainable materials for flexible sensors, touchless interaction, and reducing plastic components in automotive interfaces while maintaining ergonomic functionality. His 15 most recent publications (2023-2025) demonstrate a clear trajectory toward sustainable sensor technologies, particularly biodegradable substrates (wood, animal-based, stone, gelatin) for temperature and pressure sensing. These works bridge materials science with HCI, targeting automotive interfaces, health monitoring, and eco-fashion through textile-based solutions that prioritize environmental sustainability without sacrificing performance. His scientific accolades include: Erwin Schrödinger Fellowship Award Google Research Award Europrix Top Talent Award Best ACM SIGGRAPH Emerging Technologies Award Microsoft Imagine Cup 7 Best Paper and Honorable Mention Awards at ACM CHI and ACM UIST Haller directs major research projects including SmartCover (2024-2026) for developing smart laminated dashboards that replace plastic components with gesture-based textile interfaces, and iPlayground (2024-2026) establishing an industrial-scale smart textile lab. He mentors researchers in prototyping and empirical evaluation, with industry grants supporting the development of washable touchless fabrics and next-generation vehicle interfaces. His work bridges academic research and commercial product development through direct industry partnerships. The Media Interaction Lab operates from NOI Techpark with industrial knitting/sewing machines, confocal microscopes for surface analysis, and a collaborative Idea Space for rapid prototyping. Current infrastructure enables development of warp-knitted smart textiles for automotive consoles and sustainable fashion applications, focusing on reducing plastic waste while creating intuitive touchless interaction experiences through magnetoresistive and inductive sensing technologies.
Prof. Josep Puigmartí-Luis is a Research Professor at the University of Barcelona (UB) since 2020, following an ERC Starting Grant in 2015 and an ICREA Research Professorship in 2019. He holds a master’s in Chemistry and Food Engineering from IQS (2003) and a PhD in Materials Science from ICMAB. His research focuses on functional materials synthesis, microfluidic technologies, and self-assembly processes, with applications in nanotechnology and biomedical engineering. Key awards include the Premi Antoni de Martí (2009), St. Jordi Award (2006), and ETH Fellowship (2008). His group, ChemInFlow, develops magnetic microrobots and piezoelectric catalytic systems for targeted therapies and environmental remediation. Educations: PhD in Materials Science, Institut de Ciència de Materials de Barcelona (ICMAB) Master in Chemistry and Food Engineering, Institut Químic de Sarrià (IQS), 2003 Research Interests: Synthesis of functional materials in solution/surfaces, microfluidic technologies, non-equilibrium assemblies, magnetic microrobotics, and piezoelectric catalysis. Articles Trends: Recent work emphasizes microfluidics-driven material synthesis, magnetic microrobot navigation, and piezoelectric catalysis for biomedical and environmental applications. Key themes include nanoreactors, targeted drug delivery, and functional MOF/COF materials. Awards: Premi Antoni de Martí i Franquès de Ciències Químiques (2009) ERC Starting Grant (2015) Rising Star Award (IEEE 3M-NANO 2023) Grants & Labs: ERC Starting Grant (2015), ICREA Professorship (2019). The ChemInFlow Group pioneers interdisciplinary approaches in materials synthesis and robotics, with collaborations spanning Europe and Asia. Labs/Teams: Leads the ChemInFlow Group at UB, focusing on microfluidic technologies and biomedical microrobotics.
Bei Fan is an Assistant Professor in Mechanical Engineering at Michigan State University's College of Engineering. She holds a BS from University of Science and Technology of China (2015) and PhD from UC San Diego (2019). Her research spans thermal fluid science, electrokinetics, and surface engineering, with applications in energy conversion and sustainable technologies. Key research areas include: Electrokinetic streaming potentials and surface modulation Liquid-infused surfaces for drag reduction Acoustic manipulation technologies Solar thermal evaporation systems Anisotropic wetting phenomena She received multiple awards during her graduate studies including the MAE Outstanding Graduate Student Award (2019) at UCSD.
Sarath Chandar is an Associate Professor at Polytechnique Montréal and Core Faculty Member at Mila, the Quebec AI Institute. He holds a Canada CIFAR AI Chair and Canada Research Chair in Lifelong Machine Learning. His research focuses on developing interactive learning algorithms for continual and lifelong learning, with expertise in deep learning, reinforcement learning, and natural language processing. Education: Ph.D. in Computer Science, University of Montreal (advisor: Yoshua Bengio) M.S. in Computer Science, Indian Institute of Technology Madras (advisor: Balaraman Ravindran) Research Themes: Continual Learning and Lifelong Learning Deep Reinforcement Learning Optimization for Deep Networks Natural Language Processing AI for Scientific Discovery Notable Contributions: Founder of the Conference on Lifelong Learning Agents (CoLLAs) Developed Chandar Research Lab (CRL), focusing on adaptive learning algorithms Contributions to model-based reinforcement learning and bias mitigation in AI systems Awards & Grants: Canada CIFAR AI Chair Canada Research Chair Tier 2 MITACS-funded projects on reinforcement learning applications Lab & Collaboration: CRL collaborates with academic/industrial partners (e.g., IBM, Samsung) Hosts annual symposium showcasing research in AI, optimization, and multi-agent systems
Elizabeth Miller serves as Department Chair and Professor of Marketing at the Isenberg School of Management, University of Massachusetts Amherst. Her academic leadership includes roles as PhD Coordinator since 2013 and prior appointments as Assistant and Associate Professor at UMass and Boston College. Her research centers on affect-driven consumer behavior , with specialization in health decisions, consumer well-being, and social impact. Key themes include emotional influences on information processing, CSR authenticity, and crisis-driven behavioral shifts during events like the COVID-19 pandemic. Her work bridges marketing theory with practical applications in food security, medical decision-making, and sustainable consumption. Miller's recent publications reveal strong trends in emotional drivers of pro-social behavior (e.g., awe in environmental actions, community philanthropy during crises) and methodological innovation in health communication (e.g., data visualization for medical choices). Her scholarship increasingly focuses on collective well-being frameworks and youth-led social entrepreneurship ecosystems. Best Research Paper, Direct/Interactive Marketing Research Summit (2013) Research Excellence Award, Isenberg School (2013) Mellon Mutual Team Mentorship Grant (2012) As PhD Coordinator, she mentors doctoral candidates in consumer behavior and experimental design. Her teaching spans doctoral seminars on experimental methodology to undergraduate courses in advertising and services marketing. Miller directs research partnerships with social impact organizations, focusing on food access equity and community resilience building. Her lab initiatives emphasize translational research through collaborations with public health agencies and social enterprises, particularly in post-pandemic food systems and medical decision support tools. Current projects explore linguistic humanization of service robots and youth entrepreneurship ecosystems.
Dr. Tamás Koltai is a Professor and Dean at the Faculty of Economics and Social Sciences of Budapest University of Technology and Economics (BME). He leads the doctoral school's Specialization Group in Production Management. His roles include overseeing academic programs and research in production management, operations research, and efficiency analysis. Education: Doctor of the Hungarian Academy of Sciences (2016) Dr. habil. (2000), Budapest University of Technology and Economics Candidate of Technical Sciences (1987), Hungarian Academy of Sciences M.Sc. in Mechanical Engineering (1983), BME Faculty of Mechanical Engineering Research Interests: Dr. Koltai focuses on production management optimization, including the application of Data Envelopment Analysis (DEA), sensitivity analysis in mathematical models, and the integration of robotics in assembly lines. His work bridges theoretical models (e.g., MILP/CP optimization) with practical industrial challenges, particularly in healthcare efficiency and educational management. Notable Awards: IEOM Society Teaching Excellence Award (2021) BME GTK Faculty Memorial Medal (2016) János Susánszki Award (2013) Széchenyi Professorship Scholarship (1999–) Teaching & Leadership: He has held visiting roles at the University of Seville (1990–1992) and the University of Michigan (1988/89). His teaching excellence is recognized through awards and his contributions to business simulation education. His research often collaborates with industry partners to address real-world operational challenges. Labs/Teams: Leads the Production Management Specialization Group and contributes to interdisciplinary teams focusing on manufacturing efficiency and healthcare operations within BME.
Daniel Halpern Jelin is an Associate Professor at Pontificia Universidad Católica de Chile. He directs the Master in Strategic Communication, the Diploma in Online Social Networks and Communications, and the Diploma in Tools for Internal Communication Management. Additionally, he leads the think tank Tren Digital and teaches courses on communication strategies in organizational contexts. He holds a Ph.D. in Communications from Rutgers University (USA), a Master's in Political Science (International Relations) from Pontificia Universidad Católica de Chile, and a Bachelor's degree in Social Information and Journalism from the same institution. His research explores the intersection of technology, communication, and society, with emphases on: Strategic communication frameworks in digital environments Social media dynamics and their societal impacts E-government adoption and public sector innovation Quantitative analysis of online behavior and organizational tech integration His recent publications (2012-2016) demonstrate cross-disciplinary work spanning communication theory, political science, educational technology, and human-computer interaction. Common themes include social media's effects on relationships, digital governance models, visualization pedagogy, and emerging technology acceptance. Notable scientific recognitions include: Fulbright Fellowship (2008-2011) Rutgers University Continuing Fellowship (2009-2011) Top Research Paper Award, Penn State (2009) Multiple travel and research grants from academic institutions He has secured research funding as Principal Investigator for projects including: Risks/opportunities of ICT in education (UC Public Policy) Social media's societal impact (FONDEDOC) Cyberbullying in Chile (VRI Initiation Grant) Senators' Twitter usage (Fulbright Summer Grant) He directs Tren Digital , a research think tank examining digital trends in organizational and social contexts.
Julie Dorsey is the Frederick W. Beinecke Professor of Computer Science at Yale University, where she teaches computer graphics. She joined Yale in 2002 after holding tenured positions at MIT in both the Department of Electrical Engineering and Computer Science and the School of Architecture. She earned undergraduate degrees in architecture and graduate degrees in computer science from Cornell University. Research Areas: Photorealistic image synthesis Material and texture modeling Interactive visualization of complex scenes Sketch-based design interfaces Acoustical and lighting design algorithms Recent Article Trends focus on AI-driven graphics techniques, 3D hair modeling, depth sensing, and cultural heritage preservation. These works reflect her interdisciplinary approach bridging computer science, art, and physics. Scientific Awards: MIT Edgerton Faculty Achievement Award NSF Career Award Alfred P. Sloan Research Fellowship Radcliffe Institute Fellowship (2010-11) Whitney Humanities Center Fellowship (2010-12) Editorial Contributions: She serves as Editor-in-Chief of ACM Transactions on Graphics and has held editorial roles at Computers and Graphics, Foundations and Trends in Computer Graphics and Vision, and SIGGRAPH 2006 Papers Chair. Labs & Collaborations: Leads Yale's Computer Graphics Group, contributes to interdisciplinary projects at the intersection of computing and the arts, and collaborates with researchers in biomedical and industrial AI applications.
