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Subhrajit Guhathakurta is the Harry West Professor in the School of City & Regional Planning at Georgia Institute of Technology and Director of the MSUA Program and Center for Urban Resilience and Analytics (CURA). He previously served as Chair of the School (2018–2021) and held roles at Arizona State University, including Associate Director of the School of Geographical Sciences and Urban Planning and founding faculty member of the School of Sustainability. His expertise spans Geographic Information Science, urban resilience, and sustainable planning. Research focuses include urban modeling, transportation equity, and the integration of technology in resilient urban systems. He has authored 6 books and over 75 scientific papers, including works like Visualizing Sustainable Planning and The Routledge Handbook of International Planning Education . Awards include the Mercator Professorship from the German National Science Foundation for research on unstructured data visualization. Leadership roles include editorial stints at Journal of Planning Education and Research and Journal of the American Planning Association . He has held visiting appointments at institutions worldwide, including TU Kaiserslautern, University College London, and Tongji University. His work emphasizes interdisciplinary approaches to urban challenges, combining spatial analytics with policy development. Key Labs/Initiatives: CURA, Urban Modeling and Simulation Lab Grants & Collaborations: Extensive funding for urban resilience projects and sustainability initiatives

• Urban Planning
• Geographic Information Systems (GIS)
• Urban Resilience
• +4 more

Dr. Valeria Jaramillo is a Wellcome Trust Early Career Fellow at the University of Surrey and an Emerging Leader at the UK DRI Care Research & Technology Centre. She holds affiliations with the School of Biosciences and School of Psychology. Her research focuses on REM sleep mechanisms, particularly using closed-loop auditory stimulation to modulate brain oscillations. She leads the REM sleep & neuroModulation (REMnM) Lab, investigating how REM sleep contributes to cognition and developing interventions for ageing and dementia. Education: BSc in Biochemistry, MSc in Neuroscience, PhD in Sleep Research (ETH Zurich). Postdoctoral work included a Swiss National Science Foundation fellowship at the Baby Sleep Lab (University Hospital Zurich) and Surrey University under Prof. Derk-Jan Dijk and Dr. Ines Violante. Research interests span REM sleep dynamics, neuromodulation techniques, and translational applications. Key areas include REM sleep's role in memory, mood, and neurodegenerative diseases like Alzheimer’s. Collaborations involve UK DRI and ETH Zurich. Awards: Wellcome Early Career Award, Swiss National Science Foundation Postdoc Mobility Fellowship Lab Focus: Multimodal assessment of REM sleep features, closed-loop interventions, and clinical translation Her work bridges basic science and clinical practice, aiming to improve REM sleep quality through innovative stimulation protocols and biomarker development.

• REM Sleep Mechanisms
• Neuromodulation
• High-density EEG
• +3 more

Tim Pearce is a Reader in Bioengineering at the School of Engineering, University of Leicester. He holds a PhD from Warwick University and has served as a Research Assistant Professor at Tufts University Medical School. His work focuses on machine olfaction, neuromorphic engineering, and interdisciplinary applications of chemical sensing technologies. Key contributions include the development of electronic noses, biomimetic infochemical communication systems, and neuromorphic implementations inspired by insect olfactory pathways. Research Interests: Machine olfaction and sensor arrays Neuromorphic engineering and bio-inspired computation Integration of neuroscience principles into engineering systems Applications in environmental monitoring, healthcare, and security Publications highlight advancements in odor classification, spatio-temporal signal processing, and AI-driven world modeling. Notable collaborations include EU projects like Neuro-IT and AMOTH, which translated biological olfactory principles into real-world technologies. He has authored over 100 articles, including the seminal Handbook of Machine Olfaction . Awards include Fellowships from the Institute of Physics and the Higher Education Academy. Editorial roles span Frontiers in Neuromorphic Engineering and Connection Science . He actively contributes to global initiatives in neuroengineering and computational neuroscience.

• Machine Olfaction
• Neuromorphic Engineering
• Neuroscience
• +4 more

Ali Adjorlu is an Assistant Professor at Aalborg University's Department of Architecture, Design and Media Technology. His research focuses on innovative applications of Virtual Reality (VR) to support marginalized populations, particularly children with Autism Spectrum Disorder (ASD), hearing impairments, and social anxiety. He leads the Multisensory Experience Laboratory and collaborates on interdisciplinary projects such as the GAMESS initiative, which develops game-based learning tools for social skills training in ASD education. His work bridges technology, education, and healthcare, emphasizing accessibility and user-centric design. Key collaborations include: Co-supervision of the Haptic Feedback for Hearing Impaired PhD project (2022–2025) Leadership in the GAMESS project (2022–2024), addressing ASD social skills through gamified VR Partnerships with Cirkus Summarum and Danish National Children’s Choir for inclusive VR applications Research interests include: VR interventions for ASD life skill training (e.g., public transportation, communication) Music therapy in immersive environments Hearing conservation and auditory training for cochlear implant users Accessibility frameworks for neurodiverse and disabled populations His publications highlight VR's potential in education, healthcare, and social inclusion, with notable contributions to conferences like IEEE VR and SMC. He actively engages with public media to disseminate research outcomes, appearing in articles about VR therapy for autism and hearing impairment interventions. Adjorlu’s work also explores: VR-based empathy training for parents of hearing-impaired children Collaborative music interfaces for ALS patients Remote UX evaluation methodologies for assistive technologies His research has led to practical tools like Earnormous (a hearing health VR game) and DecibelDefender (concert safety training), demonstrating real-world impact. He emphasizes iterative design processes involving end-users to ensure interventions are both effective and accessible.

• Virtual Reality (VR)
• Autism Spectrum Disorder (ASD)
• Educational Technology
• +4 more

Claire Lauer is a Professor of Technical Communication and co-director of the User Experience (UX) master’s program at Arizona State University (ASU), within the CISA - School of Applied Professional Studies. She is an affiliated faculty member of the Institute for Social Science Research and serves as a Senior Global Futures Scientist. Her research focuses on data visualization, deceptive tactics in graphs, user experience design, and leveraging AI for environmental communication. Lauer leads the $45M Arizona Water Innovation Initiative, advancing engagement strategies for water and drought issues. She recently secured a $2M NSF grant for the WaterSIMmersive project and a $1.5M grant from the Arizona Board of Regents/ADEQ to study environmental communication practices. Her work bridges technical communication, UX design, and environmental science, emphasizing mindful design and public engagement. Notable contributions include award-winning research on deceptive data visualization tactics and the role of AI in science communication. Lauer actively contributes to ACM’s SIGDOC and has authored over 30 peer-reviewed articles, spanning topics from UX methodology to multimodal communication. Awards include the 2020 Rudolph J. Joenk Best Paper Award and the 2014 Ellen Nold Award. Her research grants total over $9M, addressing water sustainability, public science communication, and technology-driven communication methods. Lauer teaches courses like UXP 101 and TWC 305, mentoring students in UX design and technical writing. She collaborates on projects like the Water Chatbot and mixed-reality exhibits to democratize environmental data access.

• Data Visualization
• User Experience (UX)
• Environmental Communication
• +3 more

Teresa Olivares Montes is a faculty member at the University of Castilla-La Mancha, where she serves as a Profesor Contratado Doctor in the Department of Systems Informatics. She has been actively contributing to research and education since completing her PhD in Computer Engineering at the same institution. Her academic career includes international research experiences in Hong Kong, Ireland, and the UK, reflecting a strong global engagement. PhD in Computer Engineering, University of Castilla-La Mancha (2003–present) Licentiate in Computer Science, University of Granada Diploma in Computer Science, University of Granada Her research focuses on Internet of Things (IoT), low-power wireless communication protocols, energy-efficient networking, and smart systems for applications in healthcare, agriculture, education, and Industry 4.0. She has published extensively in high-impact journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Internet of Things Journal, and Computer Networks. Her recent work emphasizes practical, low-cost IoT solutions for environmental monitoring (e.g., glyphosate detection, agrochemical drift) and digital twin development for smart campuses. The analysis of her recent publications (2020–2025) reveals a consistent trend toward applied IoT systems integrating sensor networks, machine learning, and human-centered design. Her work spans domains including public health (MosquIoT), environmental protection (DriftGLY, SpectroGLY), smart education (WIoTED), and industrial efficiency (OperaBLE). These projects demonstrate a strong interdisciplinary approach, combining computer science fundamentals with real-world societal and industrial challenges. No formal scientific awards are listed in the provided text. Teresa Olivares Montes has contributed to academic service, notably as a member of the Equality Commission at her department since 2017. While no specific grants are detailed beyond a 1996 training contract, her sustained publication record suggests ongoing research funding. She collaborates with a broad network of researchers across Spain and internationally. She has also contributed to educational initiatives, including mentoring program coordination across multiple degrees. She is involved in several research initiatives related to smart environments, including smart homes, smart campuses, and smart worker systems. Her lab or team likely focuses on IoT protocol design, wireless sensor networks, and embedded systems for sustainable and socially responsible applications.

• Internet of Things
• Low Power Wide Area Networks
• Wireless Sensor Networks
• +7 more

Omri Abend is an Associate Professor at The Hebrew University of Jerusalem, affiliated with the School of Computer Science and Engineering and serving as Chair of the Department of Cognitive and Brain Sciences. His research lies at the intersection of Computational Linguistics, Natural Language Processing, and Cognitive Science, with a focus on semantic representation and language acquisition modeling. His primary research interests include: Computational modeling of child language acquisition Semantic representation frameworks, particularly Universal Conceptual Cognitive Annotation (UCCA) Statistical learning and machine translation Unsupervised grammar learning and lexical relation induction Cross-lingual and cross-domain alignment in language models Evaluation methodologies for NLP systems His recent publications demonstrate a strong trend toward analyzing large language models (LLMs), exploring human-like patterns in AI, improving evaluation metrics, and applying NLP to humanitarian domains such as Holocaust testimony analysis. His work combines theoretical linguistic insights with practical machine learning applications. Scientific awards include: Outstanding Paper Award at ACL 2017 Area Chair Award for Best Paper in the Track at ACL 2023 He has supervised and collaborated with numerous researchers and students across projects in semantic parsing, machine translation, and cognitive modeling. His work has been supported by community-wide initiatives such as the MRP shared tasks, which he co-organized. He also leads research on ethical AI, open human feedback, and the computational analysis of historical narratives. Omri Abend leads several research teams focused on: The development and application of the UCCA framework for semantic annotation Cross-lingual and cross-domain knowledge representation in LLMs Computational modeling of language acquisition Evaluation and improvement of NLP systems Application of NLP to digital humanities and historical testimony analysis

• Computational Linguistics
• Natural Language Processing
• Semantic Representation
• +9 more

Nicolai Jørgensgaard Graakjær is a Professor in Music and Sound in Marketing Communication at the Department of Communication and Psychology, Faculty of Social Sciences and Humanities, Aalborg University, Denmark. He leads the Mediated Communication section and was previously head of the MÆRKK research group (2010–2022). His work spans musicology, sound studies, social psychology, and media/communication science, focusing on how sound shapes human thought, emotion, and behavior in commercial and social contexts. His research interests include: Music and sound in advertising and retail Sonic branding of products and services (e.g., cars, food) Sound in sports environments (football stadiums, athletic events) Multimodal emergence and audience perception Environmental sound design and sustainability perception Collective identity formation through sonic experiences The most recent publications (2023–2026) reflect a strong trend in the psychological and cultural impact of sound in marketing and media. Themes include electric vehicle sound design, sonic logos, urban soundmarking, and the role of music in televised sports. These works span disciplines such as environmental psychology, branding, media studies, and sociolinguistics, demonstrating a consistent interdisciplinary approach. The sub-fields emphasize sensory marketing, auditory perception, emotional resonance, and multimodal integration. Nicolai Graakjær has no listed scientific awards in the provided text. He has supervised at least one PhD student and is actively involved in research grants and projects, including: Sound Branding – A literature review (2012–2019) Lydbranding (2011–2019) Innovationsnetværket for Market, Communication and Consumption (2011–2013) Æstetik i markedskommunikation (2010–2019) Undersøgelse af multimodal emergens (2010–2019) These projects were supported by research councils and industry collaborations, focusing on aesthetic meaning-making, sensory branding, and audience experimentation. He is associated with the MÆRKK research group and the Mediated Communication section at Aalborg University, where he contributes to interdisciplinary research on sound, media, and human behavior. His activities include organizing and participating in conferences, peer reviewing manuscripts, serving on editorial boards, and engaging in public discourse through press and media appearances.

• Music and Sound in Marketing Communication
• Sound Studies
• Musicology
• +7 more

Alessandro Di Nuovo is a Professor in the Department of Computing and Mathematics at Sheffield Hallam University, within the College of Business, Technology and Engineering. He is a leading researcher in cognitive and developmental robotics, with a focus on human-robot interaction, assistive technologies, and neuromorphic computing. His work bridges AI, robotics, and healthcare, particularly in applications for autism therapy and active ageing. His research spans cognitive robotics , neuromorphic computing , assistive robotics , and human-robot interaction , with a strong emphasis on embodied cognition, numerical cognition in robots, and privacy-aware systems. He has pioneered the use of spiking neural networks and event-based vision for real-time robotic perception and learning. His work often integrates cloud computing and multimodal interfaces to enhance robotic services for elderly care and children with developmental disorders. The recent publications highlight a consistent trend in personalized, interactive learning systems , where robots learn from human feedback using reinforcement learning, natural language, and sleep-inspired consolidation. There is also a growing focus on privacy and cybersecurity in social robotics, reflecting ethical considerations in assistive technologies. Applications are strongly oriented toward healthcare , including stroke rehabilitation, ASD screening, and in-home monitoring for older adults. He has been involved in numerous collaborative projects, often as a principal investigator or senior researcher, working with institutions across Europe. His contributions to major conferences and journals underscore his leadership in the field of cognitive and developmental systems. Di Nuovo has supervised and collaborated with a wide range of students and researchers, including Simone Varrasi, Roberto Vagnetti, Muhammad Aitsam, and Daniela Conti. His work has been supported by grants from EPSRC and other UK research councils, particularly in the domain of robotics for healthcare and social good. He is actively involved in research groups focusing on assistive robotics , cognitive systems , and cybersecurity in healthcare robotics , contributing to both theoretical models and real-world implementations of socially intelligent robots.

• Cognitive Robotics
• Human-Robot Interaction
• Developmental Robotics
• +14 more

Dwi Rahayu is a Lecturer in the Department of Human Centred Computing at Monash University. She is a Chief Investigator in the 2025 project 'Integrating Equity, Diversity, and Inclusion (EDI) into ICT Education: A GenAI-Powered Approach to Curriculum Development' funded by the Australian Council of Deans of Information and Communications Technology (ACDICT). Her research spans smart energy systems, wireless sensor networks, data science, and educational technology. Her expertise contributes to UN Sustainable Development Goals, particularly in advancing equitable and inclusive education through technology. Research collaborations include work on multimodal analytics for team teaching, sentiment analysis of e-commerce reviews, and material science innovations in metallurgy. Key research trends include optimizing data routing in sensor networks, developing context-aware energy solutions, and leveraging large language models for topic and sentiment analysis. She has advised multiple projects involving energy management, healthcare practices, and corporate financial analysis. No scientific awards are explicitly mentioned in the provided texts. Her work also involves community-focused initiatives, such as improving web programming skills through Laravel frameworks and enhancing logical thinking via game development in adolescents. Projects often emphasize practical applications of technology in public administration and healthcare contexts.

• Computer Science
• Data Science
• Smart Home Technologies
• +3 more

Dr. Fernando E. Casado is a Researcher at the Personal Robotics Lab (PRL) within the Department of Electrical and Electronic Engineering at Imperial College London since March 2023. He holds a BSc in Computer Science (2017, University of Santiago de Compostela) with awards for academic excellence, an MSc in Artificial Intelligence Research (2018, Menéndez Pelayo International University), and a PhD in Computer Science (2022, USC) with Cum Laude distinction for his work on continual federated learning strategies. His research focuses on multi-robot and multi-user machine learning to enhance trustworthy human-robot interaction, addressing challenges such as concept drift, non-stationary data, and personalized robotic behavior. Key contributions include federated learning frameworks for assistive robotics, adaptive algorithms for heterogeneous data, and eye-gaze tracking for trust assessment in HRI. Publications span topics like federated learning, continual learning, and human-robot trust, with applications in assistive devices and smart environments. Awards include the Best Academic Record and Thesis Award (BSc) and the highest honors in his PhD. Casado’s work bridges theoretical machine learning with practical robotics, emphasizing privacy-aware systems and user-centered design. He collaborates internationally, including visits to PRL in 2021, and contributes to advancing adaptive algorithms for real-world robotic applications.

• Machine Learning
• Robotics
• Human-Robot Interaction
• +5 more

Pierre Mégevand is a Professor and group leader at the Faculty of Medicine, University of Geneva, where he leads the Human Neuron Lab. His research is centered on understanding the neural mechanisms underlying human cognition and epilepsy, using intracranial recordings from awake patients. He is actively involved in both clinical and basic neuroscience research, with a focus on speech, language, and seizure dynamics. His research interests span cognitive neuroscience, clinical neurophysiology, and neuroengineering. He investigates how neurons encode sensory stimuli and behavioral responses, particularly in the context of speech and language. His lab uses stereo-EEG and microelectrode recordings to identify seizure-specific neural patterns and develop patient-tailored biomarkers for seizure detection and prediction. Key areas include multisensory integration, functional brain networks in epilepsy, and neural decoding of imagined speech. His recent publications reflect a strong trend in human intracranial electrophysiology, with studies on audiovisual illusions, electrode localization tools, functional networks in epilepsy, and neural correlates of speech and emotion. His work combines clinical data with advanced computational methods to uncover the dynamics of human brain function. Among his scientific contributions are methodological advancements and clinical insights in epilepsy monitoring and treatment. Though no specific awards are listed, his publications in top journals like Nature Communications and Epilepsia indicate high recognition in the field. Mégevand advises graduate students and postdoctoral researchers, including Lora Fanda and Jonathan Monney. His lab collaborates on grants related to neurotechnology, brain-computer interfaces, and epilepsy research, though specific grant details are not provided. He is part of a multidisciplinary team at the University of Geneva that includes engineers, neurologists, and neurosurgeons. The Human Neuron Lab, based at the Centre Médical Universitaire (CMU), is equipped for advanced human electrophysiology studies. The team includes a master assistant, graduate students, and postdoctoral researchers, reflecting an active and collaborative research environment focused on translational neuroscience.

• Cognitive Neuroscience
• Epilepsy
• Human Neuron Physiology
• +7 more

Albert Gatt is a researcher at the University of Malta , with extensive contributions to Natural Language Generation (NLG) , Vision-and-Language (V&L) models , and evaluation practices in NLP . His work spans multimodal reasoning, data pruning efficiency, and reproducibility challenges in human evaluations. Key collaborations include studies on temporal grounding in image sequences (TempVS benchmark) and automated legal violation detection in cookie banners. Research highlights include bridging linguistic theory with computational models (e.g., VALSE benchmark for multimodal grounding) and improving generation quality through contrastive learning frameworks. Scientific awards are not explicitly mentioned in the provided texts. His work emphasizes rigor in automatic metric validation and cross-modal interpretability , particularly in multimodal model attention mechanisms and logical formula minimization for text generation.

• Natural Language Generation
• Vision and Language Models
• Data Pruning
• +8 more

Michael Sedlmair is a Professor at the Institute for Visualization and Interactive Systems (VIS) within the College of Engineering at the University of Stuttgart. He serves as Managing Director of VIS and leads research in augmented reality (AR), virtual reality (VR), human-computer interaction, and visualization. His work spans collaborative fabrication, motion guidance systems, educational AR/VR applications, and situated analytics. Research Themes : AR/VR for industrial tasks, haptic feedback systems, situated visualization, cross-reality transitions, music composition tools, and inclusive avatar design. Recent Articles : Focus on AR for collaborative tasks, motion guidance feedback, molecular structure learning in AR, music visualization, and accessibility studies in VR environments. His team collaborates with institutions like Mercedes-Benz AG, IMPRS-IS, and ACM/IEEE conferences. No specific awards or student advisories are mentioned in the provided texts.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +5 more

Prof. Dr. Andreas Bulling is Full Professor of Computer Science at the University of Stuttgart , leading the Collaborative Artificial Intelligence research group at the Institute for Visualization and Interactive Systems. He is also a founding director of the Stuttgart ELLIS Unit and serves on multiple prestigious boards including IEEE Transactions on Visualization and Computer Graphics . Education: MSc in Computer Science (KIT), PhD in Information Technology (ETH Zurich) Research Interests: Human-Computer Interaction, Eye Tracking, Wearable Computing, Computer Vision, and Privacy-Preserving AI Scientific Leadership: UbiComp Steering Committee member, ACM ETRA General Chair (2020), and extensive editorial/guest editor roles Key Awards: ERC Starting Grant (2018), Henriette Herz Scout (2024), and multiple best paper awards at CHI, ETRA, and UIST Technical Contributions: Developed datasets (LPW, VisRecall++), created novel methods for gaze estimation, mental face reconstruction, and saliency prediction in visualizations His work bridges AI and Human-Computer Interaction with applications in immersive systems and healthcare technologies.

• Human-Computer Interaction
• Computer Vision
• Ubiquitous Computing
• +4 more