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Nick DulakeView profile

Research Fellow

• Digital Physical Interfaces
• Industrial Design
• Interaction Design
• +6 more

Nick Dulake is a Senior Research Fellow and Senior Industrial Designer at Sheffield Hallam University, with significant affiliations across multiple research centers. He works within the Sheffield Institute of Social Sciences, Lab4Living, Art Design and Media Research Centre, and Culture and Creativity Research Institute. As co-founder of the Digital Materiality Lab (DML), he leads innovative research exploring how digital and material worlds interact. With over 25 years of industrial design experience, Dulake applies user-centered and co-design methodologies across diverse sectors including e-health, digital heritage, and wearable medical products. His collaborations with clients like English Heritage, Kenwood, adidas, Trulife, and Unilever have produced multiple patents and commercial products. His specialist interests include digital physical interfaces, tangible interaction, industrial design, heritage interaction, advanced manufacturing, 3D printing, and HCI. Dulake's recent publications reveal a strong focus on co-design methodologies applied to healthcare, heritage interpretation, and digital-material hybridity. His work consistently emphasizes user-centered approaches, particularly with vulnerable populations including children with medical conditions and older adults. The research spans tangible interaction design, museum experiences, and digital health interventions, demonstrating interdisciplinary collaboration across computer science, design, and healthcare domains. As a PhD supervisor, Dulake guides research in co-design, tangible interaction, healthcare, robotic acceptance, and heritage. His current supervisees include Julia Keyte (Material Meaning), Hannah Taylor (The Once And Future Wall), and Ursula Ankeny (Co-designed technology for pediatric long-term condition management). Previous students have explored topics including collaborative robotics acceptance, 3D printing in museums, and tangible interaction in house museums. Dulake leads significant research projects including the Arctic Office NERC project on 3D printing in Greenland (2024-2025), the Future Home Air Quality project (2023-2025), the Virtual Reality Prosthetics Training System (2017-2023), and the meSch project (2013-2018). These projects demonstrate his commitment to applying design thinking to solve complex challenges in healthcare, environmental monitoring, and cultural heritage. As co-founder of the Digital Materiality Lab, Dulake explores how digital and material worlds collide, fuse, converge or clash. The lab investigates human interaction with hybrid materials, autonomous objects, and responsive environments, pushing design boundaries through advanced manufacturing and digital technologies.

Evangelos BampasView profile

Associate Professor

• Distributed Algorithms
• Mobile Agent Computing
• Network Verification
• +2 more

Evangelos Bampas is an Associate Professor at Université Paris-Saclay, specializing in distributed systems, mobile agent algorithms, and network optimization. His research addresses fault tolerance, resource allocation, and computability in large-scale networks. He developed algorithms for energy-constrained robots and optical network routing, with publications in Theoretical Computer Science and Algorithmica.

Florian JentschView profile

Professor

• Team Performance
• Human-Technology Interaction
• Human-Robot Interaction
• +4 more

Florian Jentsch is a Professor and Department Chair of Psychology at the University of Central Florida (UCF), with a joint appointment at the Institute for Simulation & Training (IST). He leads UCF’s Team Performance Laboratory, established in 2001, focused on team dynamics, training systems, and human-technology interaction. His research spans human-robot interaction, aviation performance, and emergency response teams, supported by over $8 million in grants from agencies like the FAA, NSF, and Department of Homeland Security. Dr. Jentsch holds a Ph.D. in Human Factors Psychology (1997) alongside graduate degrees in Aeronautical Science and Engineering. He previously served as Associate Dean for Research in the College of Sciences. His work emphasizes practical applications of cognitive science in high-stakes environments, including FAA-funded pilot training studies and Army-funded human-robot teaming projects. Research: Team cognition, training systems, emergency response protocols, aviation safety Grants: FAA, U.S. Army, DHS, NSF Lab: Team Performance Laboratory (2001–present) He has supervised 20 doctoral dissertations and authored/co-authored over 250 publications, including books on high-tech team design and training methodologies. His teaching focuses on doctoral research methods across UCF’s psychology programs.

• Deep Learning
• Data Mining
• Medical Image Analysis
• +7 more

Dr. Daqing Chen is a Senior Lecturer in Data Science at London South Bank University (LSBU), serving as Deputy Head of the Division of Computer Science and Informatics and Course Director for the MSc Data Science program. His expertise spans deep learning algorithms, data mining, and AI applications in fields like medical diagnostics, lip-reading systems, and business intelligence. He holds a PhD in Automatic Control Engineering (1990-1993) and has held academic and research roles at institutions including Xidian University and the University of Nantes. His work addresses challenges in high-dimensional data embedding, UAV target tracking, and healthcare technology. Research Interests: Deep learning for lip-reading and silent speech recognition Data visualization and manifold learning techniques Medical image analysis and healthcare analytics AI-driven business intelligence solutions Autonomous systems and UAV motion planning Recent Projects: Smart Technology for Fighting Zika-Virus Epidemics (UK-Brazil collaboration) Big Data analytics for the London Borough of Lambeth Consumer-centric business intelligence for online retailers Teaching Responsibilities include Data Mining and Big Data Analytics modules. His research contributes to UN Sustainable Development Goals related to quality education and innovation in healthcare.

Serengul SmithView profile

Associate Professor

• Artificial Intelligence
• Computer Networks
• Educational Technology
• +3 more

Dr. Serengul Smith is an Associate Professor in the Department of Computer Science at Middlesex University. She oversees academic programs as the Director of Programmes and focuses on advancing educational technology, human-computer interaction, and AI applications in learning environments. Her research explores tangible user interfaces (TUIs), collaborative online learning systems, and sensor network protocols like IoT medium access control. Smith’s work bridges technical innovation with pedagogical practice, emphasizing tools that reduce domain knowledge barriers for learners. She has contributed to frameworks for teaching complex subjects such as artificial intelligence and robotics through tactile interfaces. Her publications span topics from bullying prevention in schools to optimizing surgical training via mobile apps, reflecting a multidisciplinary approach to technology integration. Key Research Areas: AI in Education | TUI Frameworks | IoT Protocols | Collaborative Learning Systems Notable Contributions: Developed TangiBoard toolkit, evaluated AI-enhanced wiki collaboration, and analyzed cardiopulmonary surgery outcomes. Her recent work emphasizes ethical considerations in educational technology and improving accessibility for distance learners. Smith collaborates with interdisciplinary teams on projects ranging from cognitive assessment modalities to immunotherapy research, showcasing her commitment to impactful, cross-domain innovation.

• Automatic Control
• Robotics
• Critical Infrastructure Protection
• +4 more

Professor Stefano Panzieri is a Full Professor in the Department of Civil, Computer and Aeronautical Engineering at Roma Tre University. He has held academic positions since 1996, including Associate Professor (2003–present) and Assistant Professor (1996–2003). His research focuses on automatic control, robotics, critical infrastructure protection, and cyber-physical systems. He coordinates the Ph.D. program in Computer Science and Automation and leads initiatives like the CISIApro model for infrastructure resilience. Panzieri directs the Robotics Laboratory, MCIPlab, and Automation Lab, contributing to 10 Ph.D. students' supervision. His work spans distributed control, sensor networks, and smart grid technologies, with over 180 publications and projects funded by the EU and Italian Ministry of Economic Development. Key contributions include interlaced Kalman filters and anomaly detection frameworks. Research Interests: Automatic Control: Nonlinear techniques, iterative learning control, and MPC. Robotics: Mobile robotics, sensor fusion, and navigation. Critical Infrastructure: Protection strategies, cascading effects modeling, and decision support systems. Cybersecurity: False data injection defense, game-theoretic models, and resilient networks. Recent Articles Trends: Focus on distributed state estimation, cyber-physical system resilience, and adaptive filtering techniques. Recent work addresses adversarial attacks, multirate systems, and pandemic impact modeling. Grants & Projects: SMART Environments (2015): Smart city and infrastructure development. ATENA (2017): Secure IACS using Software-Defined Networking. URANIUM (2014): Resource allocation and game theory for critical infrastructure. Labs & Teams: Leads MCIPlab (Critical Infrastructure Protection) and the Automation Lab, collaborating on robotics and smart grid technologies.

Gary NaveView profile

Teaching Professor

• Nonlinear Dynamical Systems
• Fluid Mechanics
• Robotics
• +4 more

Gary Nave is a Teaching Professor in the Department of Mechanical Engineering at the Colorado School of Mines. He joined Mines after postdoctoral appointments at CU Boulder and Northwestern University (remotely). His expertise spans teaching and research in robotics, dynamics, and instrumentation with an emphasis on fostering inclusive classroom environments. Education: Ph.D., Engineering Mechanics, Virginia Tech (2018) B.S., Engineering Science and Mechanics, Virginia Tech (2012) Research Interests: Gary’s work explores nonlinear dynamical systems and fluid mechanics through interdisciplinary applications such as studying flying snakes, honeybee behavior, and chronic pain in sickle cell disease. He employs computational, theoretical, and experimental methodologies to address complex scientific challenges. Teaching & Advising: Gary teaches courses in robotics, dynamics, and instrumentation at Mines, emphasizing active learning strategies. No specific grant or student advising details are documented. Labs/Teams: No specific lab affiliations or collaborative teams mentioned.

• Human-computer interaction
• Interaction design
• User experience
• +5 more

Sowmya Somanath is an Associate Professor in the Department of Computer Science at the University of Victoria, part of the Faculty of Engineering and Computer Science. She holds a PhD from the University of Calgary and specializes in Human-Computer Interaction (HCI), with a focus on interaction design, accessibility, and tangible computing. Her research explores innovative intersections between technology and human experience, including wearable devices for healthcare monitoring (e.g., GlucoMaker), accessible data visualization for visually impaired users (TADA), and interactions between pedestrians and autonomous vehicles. She also investigates digital fabrication practices and the role of material constraints in creative processes. Recent work emphasizes speculative design methodologies to address complex societal challenges, such as reimagining futures for 'doomed' problems through design fiction. Her projects often involve co-design with marginalized communities, ensuring inclusive technological solutions. Dr. Somanath has contributed to over 30 publications since 2011, spanning topics from educational robotics (Spidey) to ethical considerations in autonomous systems. Her work bridges theoretical research with practical applications in education, healthcare, and urban planning. No scientific awards are explicitly listed in her profile, though her impactful contributions to HCI suggest potential recognition in the field. She currently advises no listed students but collaborates extensively with industry and academic partners on maker culture and accessible technology initiatives.

David SinclairView profile

Associate Professor

• Formal Methods
• Distributed Systems
• Real-time Systems
• +2 more

Dr. David Sinclair is an Associate Professor and Year Head in the School of Computing at Dublin City University, affiliated with the Dependable Systems, Software Engineering, and Security research groups. His research spans formal methods, distributed systems, real-time systems, and AI applications in strategic games. Teaching responsibilities include foundational and advanced courses: CSC1018 Logic CSC1048 Computability & Complexity CSC1098 Compiler Construction CSC1141 Concurrent Programming CSC1049 Third Year Project supervision His publications demonstrate strong focus on real-time systems, motion prediction, and immersive technologies, with recent work exploring AI-driven virtual environments and light field processing. Research consistently addresses computational efficiency and formal verification challenges.

• Artificial Intelligence
• Machine Learning
• Robotics
• +3 more

Chris Reinke is a researcher in Artificial Intelligence and Machine Learning at the CEA in Grenoble, France since 2025, focusing on Human-Centric Digital Twins and modeling human decision-making. His research interests include learning mechanisms, cognitive science, and developing adaptive algorithms for robots. Prior to CEA, he held postdoctoral positions at Inria Grenoble (RobotLearn team with Xavier Alameda-Pineda) and the Flowers team in Bordeaux under Pierre-Yves Oudeyer. He earned his PhD in Neural Computation at OIST under Kenji Doya, with earlier degrees in Cognitive Science from the University of Osnabrück. His work bridges theoretical AI with practical applications in robotics and healthcare, emphasizing systems that learn like humans. Notable contributions include research on successor features, meta reinforcement learning, and socially pertinent robotics in healthcare. He developed the exputils library for experiment management and organized events like the SoRAIM Winter School on Social Robotics (2024) and RL@Alpes symposium (2023).

Nasser HoushangiView profile

Professor

• Robotics
• Control Systems
• Autonomous Navigation
• +4 more

Nasser Houshangi is a Professor in the Department of Electrical and Computer Engineering at Purdue University Northwest. With over 25 years of teaching experience, he has developed and instructed 15 undergraduate and 5 graduate courses, including Robotics, Control Systems, and Adaptive Control. His research focuses on learning control in robotics, autonomous navigation using Simultaneous Localization and Mapping (SLAM), and multisensory integration systems for mobile robot position determination. Education: Ph.D. in Electrical Engineering, Purdue University, West Lafayette M.S. in Electrical Engineering, University of Colorado B.S. in Electrical Engineering, University of Colorado Research Interests: Nasser Houshangi’s work centers on advancing robotic autonomy through learning control systems, SLAM algorithms, and sensor fusion technologies. His research aims to enable robots to adapt dynamically to complex environments, with applications in industrial automation and mobile robotics. Scientific Awards and Affiliations: Institute of Electrical and Electronic Engineers (IEEE), Senior Member IEEE Robotics and Automation Society Sigma Xi, Scientific Research Society Eta Kappa Nu (National Electrical Engineering Honor Society) Tau Beta Pi (National Engineering Honor Society) Teaching and Leadership: He has led curriculum development initiatives, served as Computer Engineering Program Coordinator, and previously held the role of Department Head of Electrical Engineering. His teaching philosophy emphasizes hands-on learning and innovation in courses such as Robotics and Computer Architecture.

• Acoustic Signal Processing
• Speech Processing
• Robot Audition
• +5 more

Professor Patrick Naylor is a faculty member in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. His research focuses on acoustic signal processing, speech processing, and audio technology, with a particular emphasis on spatial audio, robot audition, and applications in human-robot interaction. His work spans theoretical advancements like polynomial eigenvalue decomposition (PEVD) and practical innovations in audio security, data augmentation, and assistive technologies for hearing aids. He leads the Speech and Audio Processing research group, affiliated with Imperial's Robotics Forum, Artificial Intelligence Network, and Natural and Machine Hearing initiatives. His research addresses challenges in multi-channel speech compression, secure audio transmission, and adaptive systems for dynamic acoustic environments. Notable projects include developing neural network-based methods for sound source localization and enhancing speech recognition for post-stroke aphasia patients. Prof. Naylor's work intersects electrical engineering, machine learning, and cognitive sciences. He has pioneered techniques for binaural speech enhancement using deep learning and contributed to standards in acoustic environment profiling. His lab's research is showcased at www.ee.ic.ac.uk/sap . His publications emphasize audio security (e.g., watermarking, privacy-preserving processing) and ambient cooperative intelligence systems. Current trends focus on explainable AI for acoustic neural embeddings and scalable microphone array processing for smart environments. His research frequently addresses real-world applications in healthcare, robotics, and telecommunications. Prof. Naylor collaborates across disciplines, integrating signal processing with robotics and clinical needs. His lab explores both foundational algorithms and deployable systems, reflecting Imperial's engineering ethos of bridging theory and practice.

• Swarm Robotics
• Autonomous Systems
• Droplet Architectures
• +3 more

Dr Klaus-Peter Zauner is an Associate Professor in the Department of Electronics and Computer Science at the University of Southampton. He leads research in the Agents, Interaction and Complexity Centre and the Centre for Robotics. His work focuses on swarm robotics, autonomous systems, droplet architectures, and microfluidics. He has contributed to projects like the EU-funded NEUNEU-FP7 and a Leverhulme Trust Fellowship. Zauner advises multiple PhD students in areas such as robotics and computer science. Research Groups: Agents, Interaction and Complexity Centre; Centre for Robotics PhD Students: Nicholas Charles Hill, Toby Thomas, Yue Wang, Toby Matthew Alfie Godfrey, Yanran Xu, Lianghong Ye His research interests include bio-inspired systems, with recent work emphasizing human-swarm interaction, visual navigation in forest environments, and sparse robot swarms. His articles span topics from swarm decision-making to functional droplet architectures, showcasing interdisciplinary innovation.

Sandeep K NeemaView profile

Professor

• Embedded Systems
• Design-Space Exploration
• Model Integrated Computing
• +3 more

Sandeep K Neema is a Professor of Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. He serves as Chair of the Executive Council of the Institute of Software Integrated Systems. His research focuses on embedded systems, design-space exploration, and model integrated computing. He holds a Ph.D. from Vanderbilt University, an M.S. from Utah State University, and a B.Tech. from the Indian Institute of Technology. Dr. Neema's educational background includes: Ph.D., Electrical Engineering & Computer Engineering, Vanderbilt University M.S., Electrical Engineering & Computer Engineering, Utah State University B.Tech., Electrical Engineering, Indian Institute of Technology His research interests encompass embedded systems, design-space exploration, and model integrated computing, with a strong emphasis on cyber-physical systems. He explores formal methods, model-based design, and their applications in automotive systems, smart cities, and reliability engineering. His work integrates theoretical frameworks with practical tools to address challenges in system reliability and adaptive software design. Recent publications highlight advancements in artificial general intelligence evaluation, cybersecurity defense mechanisms, and formal methods applied to neural networks and language models. His work also addresses societal-scale control systems and adaptive software frameworks for resource management. These contributions underscore his interdisciplinary approach to solving complex engineering problems. Scientific Awards include: Best Paper Award (2013) In addition to his academic roles, Dr. Neema leads initiatives in the Institute for Software-Integrated Systems. His work often involves collaborative projects and the development of innovative tools for cyber-physical systems design. He is a key member of the Institute for Software-Integrated Systems, contributing to research in model integration, tool development, and cyber-physical systems engineering.

Alexandra PennView profile

Research Fellow

• Complexity Science
• Policy Evaluation
• Sustainability Studies
• +5 more

Dr. Alexandra Penn is a Senior Research Fellow in the Department of Sociology at the University of Surrey, specializing in complexity science and participatory methodologies. She holds a MPhys in Physics from the University of Kent and Université Joseph Fourier (Grenoble), an MSc in Evolutionary and Adaptive Systems from the University of Sussex, and a DPhil in Life Sciences from the University of Sussex. Her work focuses on developing tools to help stakeholders navigate complex socio-ecological systems, particularly in industrial ecosystems and policy evaluation. As a core member of the Centre for Evaluating Complexity across the Nexus (CECAN), Penn collaborates with UK government bodies to design complexity-aware policy frameworks. Notable projects include participatory systems mapping for the Humber Estuary’s transition to a bio-based economy and co-producing evaluation guidelines with Defra for future farming policies. Her research emphasizes interdisciplinary approaches to address systemic challenges in energy, environment, and food security. Her methodological contributions include participatory systems mapping, fuzzy cognitive mapping, and agent-based modeling, which are applied to evaluate policies in transport decarbonization, rural development, and energy systems. Penn’s work bridges theoretical complexity science with practical policy implementation, fostering actionable insights for stakeholders.