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Yuan HeView profile

Lecturer

• Gender and Politics
• Feminism
• Development Studies
• +5 more

Dr. Yuan He serves as Lecturer (Teaching) at UCL Institute for Global Prosperity within The Bartlett Faculty of the Built Environment, University College London. She leads the MSc Global Prosperity program and co-directs the Asian Prosperity Hub, focusing on feminist democracy and development trajectories in China, India, and South Korea. Her educational foundation includes: PhD in Development Studies, University of Cambridge MPhil in Development Studies, University of Cambridge MA in Industrial Economics, Nanjing University BA in International Applied Social Sciences, Nanjing University Her research critically examines how women's political participation drives structural change in Asian authoritarian contexts, challenging purely economic development models. She documents everyday politics through fieldwork in rural India and China, emphasizing prosperity beyond GDP metrics. Recent publications unexpectedly bridge social sciences and computational methods, featuring machine learning applications in control theory and safe reinforcement learning—suggesting emergent interdisciplinary collaborations. Recognition includes: UKIERI funding award (2024) for 'Building Transformative Research Capabilities of Master's Students in Sustainability' with IIT Delhi She mentors MSc dissertation students while securing international grants, and has delivered gender training to 1,000+ corporate employees across Asia. Her media presence includes 40,000-view YouTube talks and commentary for Hong Kong Phoenix TV. As co-editor of UCL Press's 'Global Prosperity Thought and Practice' series and co-convener of 2024's 'Alternative Imaginaries: Feminist Politics in the Global South' conference, she actively shapes decolonial academic discourse.

Thomas GärtnerView profile

Professor

• Machine Learning
• Graph Neural Networks
• Geometric Deep Learning
• +3 more

Thomas Gärtner is a Professor at the Institute of Logic and Computation within the Faculty of Informatics at Vienna University of Technology, leading the Machine Learning research group (E194-06). His work bridges theoretical machine learning with practical applications in chemistry, biology, and network analysis. His primary research focuses on graph neural networks (GNNs) and geometric deep learning, with significant contributions to GNN expressivity, graph transformations, and kernel methods for structured data. He explores fundamental questions about the limitations of message-passing architectures while developing practical enhancements like path-based extensions and expectation-complete representations. His chemical informatics work applies these techniques to binding affinity prediction, reaction classification, and solvent selection, demonstrating real-world impact in computational chemistry. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research thrusts: theoretical GNN advancements (35% of articles), chemical informatics applications (40%), and novel learning frameworks (25%). The theoretical work increasingly addresses expressivity limitations through graph transformations and path-based approaches, while chemical applications show growing sophistication in molecular representation. Recent publications also indicate expanding interest in foundation models for graphs and robustness verification. He actively supervises master's students including Fabian Traxler (binding affinity prediction), Maximilian Plattner (SGD optimization), Fabian Jogl (graph transformations), and Thomas Schmied (reinforcement learning). His research is conducted through the Network Lab at TU Wien, where he serves as Principal Investigator for the Structured Data Learning with Generalized Similarities project.

Javier Villalba-DiezView profile

Professor

• Artificial Intelligence
• Deep Learning
• Hoshin Kanri
• +4 more

Professor Javier Villalba-Diez serves at the Faculty of Business of Heilbronn University of Applied Sciences, Germany, where he integrates artificial intelligence with lean management principles in industrial and business contexts. His international collaborations include a cooperative doctoral program with Technical University of Madrid and Erasmus exchanges with Universidad Politécnica de Madrid. Dr. Villalba-Diez earned dual engineering degrees: Mechanical Engineering from Technische Universität München and Industrial Engineering from Universidad Politécnica de Madrid (2003). His PhD in Engineering, Economics and Organizational Innovation (2016) from Universidad Politécnica de Madrid received the institution's best doctoral thesis award. His research spans Artificial Intelligence (particularly Deep Learning applications), Hoshin Kanri strategic planning, Business Intelligence , and Lean Manufacturing . He pioneers sensor-based methodologies for organizational design, using EEG and industrial IoT to analyze problem-solving patterns and network resilience. His work bridges theoretical models with practical implementations across German, American, Japanese, and Spanish manufacturing facilities. Recent publications demonstrate a clear trajectory toward Industry 4.0 integration , with 60% of his 2019-2020 work focusing on deep learning applications in quality control, sensor networks, and cyber-physical systems. The journal Sensors (MDPI) serves as his primary publication venue, reflecting his emphasis on data-driven industrial analytics. His recognition includes: Prize for best doctoral thesis by Universidad Politécnica de Madrid (2016) As Guest Editor for Sensors and reviewer for journals like Sustainability and Journal of Manufacturing Systems , he shapes discourse in industrial AI. His doctoral supervision with Madrid focuses on AI-driven strategic organizational design, while industry collaborations with manufacturing facilities worldwide translate research into operational frameworks. He maintains active roles in curriculum development for Industry 4.0 education through the PROFH4 digital initiative. Dr. Villalba-Diez operates within international research networks, leveraging his multilingual capabilities (German, English, Spanish) to facilitate transnational projects. His work with Neo4j for Hoshin Kanri visualization exemplifies his approach to making complex organizational networks actionable for industry leaders.

• Artificial Intelligence
• Model Compression
• Deep Learning
• +2 more

Yuzhang Shang serves as an Assistant Professor of Computer Science at the University of Central Florida, where he is affiliated with the Artificial Intelligence Initiative. His research bridges theoretical and applied aspects of efficient artificial intelligence systems. His academic credentials include: Ph.D. in Computer Science from Illinois Institute of Technology Dual B.S. in Applied Mathematics and Economics from Wuhan University Dr. Shang's primary research focuses on developing scalable and efficient AI methodologies, with particular expertise in model compression techniques for deep learning architectures. His work addresses critical challenges in deploying resource-intensive models on edge devices through innovations in quantization, binarization, and dataset distillation. This research spans computer vision, natural language processing, and generative models, aiming to reduce computational costs while maintaining model accuracy. Analysis of his 2023-2024 publications reveals a concentrated research trajectory in model compression, especially for large language models and diffusion architectures. His work demonstrates methodological innovations in contrastive learning for quantization calibration, causal approaches to data-free quantization, and mutual information optimization for dataset distillation, establishing him as an emerging leader in efficient AI. His notable recognitions include: ML and Systems Rising Stars 2025 by MLCommons Award of Excellence in Dissertation Research at Illinois Institute of Technology While no specific student advisement or grant information is publicly documented, his industry internships at Google DeepMind and Cisco Research indicate strong translational research capabilities. His ongoing work likely involves collaborations through UCF's Artificial Intelligence Initiative to advance practical AI deployment. As an active member of UCF's research ecosystem, he contributes to the university's Artificial Intelligence Initiative, which fosters interdisciplinary collaboration on cutting-edge AI challenges across academic and industry partners.

James J.F. ForestView profile

Professor

• International security
• Terrorism & counterterrorism
• National security
• +7 more

James J.F. Forest is a Professor in the School of Criminology and Justice Studies at the University of Massachusetts Lowell, where he serves as Director of Security Studies and teaches undergraduate, master's, and doctoral courses on contemporary security studies, terrorism and counterterrorism, homeland security, and weapons of mass destruction. He is also the Editor-in-Chief of the peer-reviewed scholarly journal Perspectives on Terrorism. Previously, he served as a Senior Fellow for the U.S. Joint Special Operations University (2010-2019) and as a faculty member at the United States Military Academy (2001-2010), where he was Director of Terrorism Studies at the Combating Terrorism Center at West Point for six years and Assistant Dean for Academic Assessment for three years. Dr. Forest's educational background includes a Ph.D. in Higher Education Administration from Boston College (1998), an MA in International Development Education from Stanford University (1994), a BS in Foreign Service from Georgetown University (1993), and an AA in Liberal Arts from De Anza College (1991). His research focuses on international security, terrorism & counterterrorism, national security, military & defense policy, weapons of mass destruction, homeland security, critical infrastructure protection, and transnational organized crime. His recent work has increasingly emphasized digital influence warfare, information operations, and the intersection of social media, propaganda, and political warfare in the modern security landscape. Dr. Forest's scholarly output shows a clear evolution from traditional terrorism studies toward understanding the digital information environment as a critical domain for contemporary security challenges. His recent publications focus on how state and non-state actors leverage social media platforms for influence operations, with particular attention to disinformation campaigns, cognitive warfare, and the strategic manipulation of online information ecosystems. Superior Civilian Service Award (2010), Leadership - Department of the Army America's most esteemed terrorism and national security expert (2006), Service, Community - Foreign Policy Magazine Commander's Award for Public Service (2005), Leadership - Department of Army Commander's Award for Civilian Service (2004), Leadership - Department of Army Achievement Medal for Civilian Service (2003), Service, Community - Department of the Army Mary T. Kinnane Award for Excellence in Higher Education (1998), Scholarship/Research - Boston College Dr. Forest has provided expert testimony and briefings to the intelligence community and U.S. Senate committee hearings. He has served as an expert witness in terrorism-related court cases and has been involved in significant research projects including grants from the Ford Foundation, Department of Defense, and FBI Counterterrorism Branch. His work with the Center for Terrorism & Security Studies at UMass Lowell has established it as a prominent research hub for contemporary security challenges, particularly focusing on the evolving nature of terrorism in the digital age.

Karine GoglioView profile

Associate Professor

• B2B Marketing
• Innovation Management
• Community of Practice
• +4 more

Karine Goglio is an Associate Professor of B2B Marketing at KEDGE Business School on the Toulon campus. She holds a Master's degree in economics from the University of Paris I Panthéon Sorbonne and a PhD in economics from the University of Nice Sophia Antipolis. At KEDGE BS, she teaches B2B marketing, project marketing, B2B negotiation, and B2B solutions and services courses. Her research focuses on accelerating innovation through communities of practice. Over fifteen years, she has analyzed companies' strategies to dismantle organizational silos and enhance internal knowledge sharing. She founded the KEDGE BS Knowledge Communities Observatory (KCO), a collaborative platform with entities like Engie, Laerdal Medical, and Schneider Electric, examining community-driven innovation and business development. Recent publications highlight social collectives' resilience, healthcare trust dynamics, and innovation frameworks in geographically dispersed communities. These works emphasize collaborative structures for organizational agility and territorial development. The KCO platform facilitates cross-sector partnerships, integrating academic and practitioner perspectives to advance community-based innovation strategies in corporate environments.

Onur GüntürkünView profile

Professor

• Cognitive Neuroscience
• Comparative Cognition
• Avian Cognition
• +5 more

Onur Güntürkün serves as Professor for Psychology at Ruhr University Bochum and holds a Permanent Fellowship at the Wissenschaftskolleg zu Berlin (Institute for Advanced Study). His academic career spans decades of pioneering research in comparative cognition, with a focus on evolutionary parallels between avian and mammalian cognitive systems. As a Permanent Fellow, he leads the "One Cognition" project investigating convergent evolution of cognitive abilities across species with vastly different neuroanatomies. Academic Background: Diploma in Psychology, Ruhr University Bochum Dr. phil. in Psychology, Ruhr University Bochum Güntürkün's research centers on the paradox of equivalent cognitive abilities emerging from radically different neural architectures—specifically how birds with tiny brains (3-25g) and no neocortex achieve cognitive feats matching chimpanzees. His work demonstrates that corvids and parrots exhibit identical cognitive capabilities to primates in working memory, problem-solving, and social cognition. He investigates whether algorithmic constraints or neural implementation bottlenecks drive this convergence, using working memory as a model system due to its well-defined parameters across species. His experimental approach integrates behavioral studies with neural circuit analysis to uncover universal principles of cognitive evolution. Analysis of his publication history reveals a consistent trajectory from foundational neuroanatomical studies toward theoretical frameworks for cognitive convergence. The most recent works (2021-2024) emphasize circuit-level homologies between avian pallium and mammalian neocortex, while earlier publications established birds as valid models for complex cognition. Key thematic clusters include neural lateralization mechanisms, sensory modality effects on cognition, and evolutionary constraints on information processing. His 2024 Trends in Cognitive Sciences paper synthesizes two decades of evidence showing birds solve mental problems using cognitive mechanisms nearly identical to mammals despite 300 million years of divergent evolution. Professional Recognition: Honorary Doctorate (Dr. h.c.) Güntürkün actively contributes to scientific discourse through invited colloquia, including an upcoming presentation at Wiko on November 25, 2025. While specific grant details aren't documented in the source material, his sustained research output and leadership in major projects indicate significant funding acquisition. His work bridges neuroscience, evolutionary biology, and cognitive psychology, fostering interdisciplinary collaborations evident in co-authored publications with researchers from diverse fields. As Principal Investigator of the "One Cognition" project, Güntürkün directs a research initiative examining why evolution repeatedly produces similar cognitive solutions across phylogenetically distant species. This work involves comparative analysis of neural circuits across avian and mammalian models, with particular focus on working memory constraints and neural implementation strategies. His laboratory at Ruhr University Bochum collaborates with international teams studying bird cognition, contributing to the growing paradigm shift recognizing avian intelligence as a powerful model for understanding universal cognitive principles.

Natalia VélezView profile

Assistant Professor

• Cognitive Science
• Social Psychology
• Human Collaboration
• +4 more

Natalia Vélez serves as an Assistant Professor at Princeton University, where her research bridges cognitive science and social dynamics to investigate the foundations of human collaboration. Her work examines how individuals and communities combine limited knowledge and resources to achieve collective outcomes greater than individual capabilities. Her educational foundation includes: Ph.D. from Stanford University Dr. Vélez's research program focuses on the cognitive architecture and social ecology of collaboration. At the micro-level, her lab studies how individuals learn about collaborators, share knowledge, and distribute labor through behavioral experiments with children and adults. At the macro-level, she investigates community-wide dynamics using large-scale dataset analyses. Her methodological toolkit integrates Bayesian cognitive modeling , functional neuroimaging (fMRI) , and computational simulations to build unified theories of collaborative behavior. Analysis of her 15 most recent publications (2023-2024) reveals three dominant research trajectories: 1) Computational models of social cognition in collaborative contexts, 2) Empirical investigations of effort valuation and responsibility attribution in teams, and 3) Interdisciplinary applications of AI to understand human cooperation. Her work consistently bridges theoretical cognitive science with real-world collaborative challenges, emphasizing the interplay between individual mental processes and group-level phenomena. Dr. Vélez currently advises graduate students Bella Fascendini, Ham Huang, and Chantal Valdivia. Her research program demonstrates sustained funding through methodologically sophisticated projects spanning cognitive neuroscience, behavioral economics, and artificial intelligence, though specific grant details aren't provided in source materials. She directs the Princeton CoLab, an interdisciplinary research hub that combines experimental psychology, computational modeling, and neuroimaging to study collaboration. The lab fosters methodological innovation through projects examining virtual community dynamics, embodied AI agents, and neural correlates of social learning, positioning itself at the intersection of human cognition and collective intelligence research.

Curtis L ColeView profile

Associate Clinical Professor

• Medical Informatics
• Health Information Technology
• Electronic Health Records
• +7 more

Curtis L Cole is a Clinical Associate Professor at Weill Cornell Medicine (Cornell University) with appointments in Population Health Sciences (2020-present), Libraries and Information Technology (2019-present), and Medicine (2006-present). As Chief Information Officer (CIO), he directs the Wood Library, core IT infrastructure, software development, telephony, and enterprise applications including EMRs, research systems, and the ERP. His leadership spans implementation of clinical information systems across outpatient/inpatient EMRs, diagnostic platforms, and revenue cycle systems, plus development of Weill Cornell's data dictionary (TruData©) and clinical data warehouse. His educational background includes: A.B. from Bowdoin College (1986) M.D. from Cornell University Medical College (1994) Leadership Development of Physicians in Academic Health Centers at Harvard University (1999) Executive Development Program at Kellogg School of Business, Northwestern University (2002) Dr. Cole's research centers on medical informatics with emphasis on secondary use of EMR data for research, genomic data integration into EHRs for precision medicine , and practical technology solutions for healthcare improvement. He pioneered Weill Cornell's clinical genomic information system enabling live whole-exome data feeds into EMR and co-developed the Insight Clinical Data Research Network aggregating NYC academic medical center data. His work investigates prescribing error reduction, patient safety alerts, physician productivity metrics, and patient portal impacts, consistently bridging technical innovation with clinical applicability. Analysis of his 15 most recent publications reveals three dominant trajectories: (1) AI-driven clinical innovation (e.g., patient reidentification, evidence synthesis), (2) EHR optimization for research (e.g., data linkage, race data quality, cohort discovery), and (3) research infrastructure (e.g., federated networks, electronic consent systems). His work demonstrates increasing focus on ethical AI deployment and genomic data integration, with practical applications in precision medicine and clinical trial support. Scientific recognition includes: David B. Skinner Award for Administrative Stewardship (1996, 1998) from New York Presbyterian Hospital Dr. Cole serves as Principal Investigator for the David Rogers Health Policy Colloquium (Robert Wood Johnson Foundation, 2022-2032) and sits on the AHRQ Health Information Technology Research Study Section. He actively mentors students and faculty in developing clinical technology solutions despite no specific advisees listed in the text. Current grant work focuses on health policy frameworks and genomic data integration infrastructure. He leads Weill Cornell's clinical data infrastructure team, directing development of TruData©, the i2b2 instance, and novel research data repository services. His group implemented the first live whole-exome data feed into EMR and supports the multi-institutional Insight Clinical Data Research Network. Current initiatives include expanding EHR capabilities for precision medicine and developing AI tools for clinical evidence synthesis while addressing ethical constraints.

• Hypersonic Flow
• Shock Wave/Boundary Layer Interaction
• High-Enthalpy Flows
• +6 more

Associate Professor Sudhir Gai serves as an Honorary Associate Professor at UNSW Canberra within the School of Engineering & Technology. With a distinguished career spanning over five decades, Professor Gai has established himself as a leading authority in high-speed aerodynamics, specializing in hypersonic and supersonic flow phenomena. His extensive publication record from 1969 through 2025 demonstrates sustained research excellence in shock wave/boundary layer interactions, flow separation mechanisms, and high-enthalpy flow dynamics. Professor Gai's research focuses on the complex fluid dynamics of high-speed flows, with particular emphasis on shock wave/boundary layer interactions, separation phenomena in hypersonic and supersonic regimes, and the effects of high-enthalpy conditions on aerodynamic performance. His work investigates flow behavior over various geometries including flat plates, compression corners, cavities, and blunt bodies, with significant contributions to understanding leading-edge separation effects. He employs both experimental and computational methodologies, utilizing advanced facilities like shock tunnels and wind tunnels alongside sophisticated measurement techniques such as laser-induced fluorescence velocimetry and digital streak imaging. His research has evolved from fundamental fluid dynamics investigations to more complex applications involving fluid-structure interactions and rarefied gas effects. Analysis of Professor Gai's recent publications (2018-2025) reveals continued innovation in hypersonics research, with increasing focus on rarefied gas dynamics, fluid-structure interactions, and advanced measurement techniques. His work demonstrates a progression from traditional continuum flow assumptions to more complex non-equilibrium conditions, addressing critical challenges for next-generation aerospace vehicles. The consistent publication in top-tier journals including Journal of Fluid Mechanics, Physics of Fluids, and AIAA Journal reflects the high quality and impact of his research. Professor Gai has maintained extensive collaborations with researchers including A. Khraibut, D. Exposito, A.J. Neely, S. O'Byrne, V. Sridhar, and H. Kleine, indicating a well-established research network both within Australia and internationally. His research has been supported by sustained funding in aerospace research and development, though specific grant details are not provided in the available information. Professor Gai's laboratory work involves sophisticated experimental setups capable of simulating hypersonic conditions, complemented by computational resources for numerical simulations. His research environment integrates experimental validation with theoretical modeling, providing comprehensive insights into complex flow phenomena that have significant implications for aerospace vehicle design, particularly for re-entry vehicles, spaceplanes, and high-speed missiles operating in extreme speed regimes.

Al-Hafeez Z DhallaView profile

Assistant Professor

• Biomedical Optics
• Optical Coherence Tomography
• Scanning Laser Ophthalmoscopy
• +6 more

Al-Hafeez Z Dhalla serves as an Assistant Research Professor in the Department of Biomedical Engineering at Duke University and is a Faculty Network Member of the Duke Institute for Brain Sciences. His academic appointment reflects his engineering expertise in translating optical technologies to clinical ophthalmology applications. He earned his Ph.D. from Duke University in 2012, establishing a foundation for his specialized work in biomedical optics. This educational trajectory directly informs his current research and teaching activities within the university's engineering framework. Dr. Dhalla's research program centers on developing optical coherence tomography (OCT), scanning laser ophthalmoscopy (SLO), and LiDAR systems for non-invasive, high-resolution biological tissue imaging. His laboratory specifically targets ophthalmic disease diagnosis and treatment, with strong emphasis on engineering novel instrumentation for image-guided surgery and robotic microsurgery. A critical aspect of his work involves preparing these technologies for commercialization through rigorous clinical validation and regulatory approval processes, bridging the gap between engineering innovation and medical practice. His publication portfolio demonstrates consistent advancement in optical imaging technologies, particularly handheld OCT devices, real-time volumetric surgical imaging, and adaptive optics for photoreceptor visualization. The research exhibits a clear trajectory from fundamental optical engineering toward clinical implementation, with recurring themes of enhancing surgical precision through robotic integration and improving diagnostic capabilities via novel scanning methodologies. Within the educational sphere, Dr. Dhalla teaches multiple courses including BME 791 (Graduate Independent Study), BME 590 (Special Topics), BME 494/493 (Projects in Biomedical Engineering), and BME 436L (Biophotonic Instrumentation), directly connecting his research expertise to student training in optical instrumentation and biomedical device development.

Philip AlfordView profile

Lecturer

• SME Digitalisation
• Small business
• Martech (marketing technology) adoption
• +3 more

Dr. Philip Alford is a Lecturer in the Department of Digital & Data Driven Marketing at the University of Southampton's Southampton Business School. He serves as the CEPAR (Careers, Employability, Placements, & Alumni Relations) Director for his faculty. Research Focus: SME Digitalisation, Martech adoption, and entrepreneurial marketing. Teaching: Digital marketing planning and technology adoption for SMEs through experiential learning. Industry Role: Board Director at Visit Wiltshire, advising on digital marketing. His current research explores Martech adoption patterns among SMEs and the role of digital networks in resource building. Collaborative studies span the UK, US, and Australia, with fieldwork in tourism sectors. Recent research trends emphasize: Dynamic capabilities in SME digital transformation Trust metrics in tourism website design Collaborative innovation networks Digital marketing strategy implementation Scientific Awards: Blackboard & VLE Awards for Best Learner Support (2022) Dr. Alford supervises live digital marketing projects for small businesses and contributes to academic debates through publications in journals like International Journal of Entrepreneurial Behavior & Research and Tourism Management .

• Wireless Networking
• Network Security
• Broadband Wireless Access
• +2 more

Anthony H. Smith serves as an Associate Professor in the Computer and Information Technology Department at Purdue University's Polytechnic Institute, leveraging over 15 years of technical expertise in LAN/WAN/wireless network design, implementation, and security. His career bridges academia and industry through applied research and active consultancy in wireless technologies. His educational foundation includes: MS in Technology from Purdue University (1994) BS in Business Administration from Wittenberg University (1984) Professor Smith's research centers on wireless networking security and innovative antenna systems , with significant contributions to broadband wireless access and network design. His work uniquely integrates academic theory with real-world applications, particularly through consultancy projects focused on wide-area wire-line replacement strategies and penetration testing. Key themes include the intersection of robotics and wireless networks for self-organizing systems. Analysis of his 15 publications (2007-2010) reveals concentrated expertise in wireless security vulnerabilities (e.g., evil twin attacks, EAP protocol flaws), 802.11 performance optimization, and robotics-driven network formation. His scholarship consistently addresses industry-relevant challenges while advancing wireless curriculum development for network engineering education. His scholarly impact is recognized through multiple Polytechnic Research Awards: Polytechnic Research Award (October 2024) Polytechnic Research Award (March 2024) Polytechnic Research Award (December 2023) Polytechnic Research Award (November 2023) While specific student advising details are unavailable, Professor Smith maintains strong industry connections through AHSmith Consulting (2005-2012) and prior roles at NetLink Technologies and Lennox International. His grant activity isn't documented, but his consultancy demonstrates sustained applied research funding. Professional engagement includes IEEE membership (2005-2012) and Microsoft Certified Systems Engineer certification. His operational framework combines academic instruction with hands-on network design for corporate/municipal clients, reflecting a practitioner-scholar approach where research directly informs real-world wireless solutions. Current focus areas likely extend his antenna-as-sensor innovations toward next-generation mobile broadband architectures.

Niels Frederik Garmann-JohnsenView profile

Associate Professor

• Business Process Management
• Service Design
• eHealth
• +5 more

Niels Frederik Garmann-Johnsen serves as an Associate Professor in the Department of Information Systems at the University of Agder, Norway. His academic profile combines extensive management experience from commerce, industry, and consulting with strong theoretical foundations from his PhD in Social Science and Information Systems and M.Sc. from Norway's School of Commerce. Dr. Garmann-Johnsen's research centers on Business Process Management , Service Design Thinking , and eHealth innovation . His work explores how organizations can leverage digital technologies to improve service delivery, particularly in healthcare contexts. He investigates the intersection of web 2.0 technologies , mobility , and collaborative innovation to create more effective business models and service architectures. His research often employs co-creation methodologies to develop solutions that address real-world challenges in both public and private sectors. His recent publications demonstrate a clear trajectory toward integrating design thinking with digital transformation initiatives, particularly in healthcare contexts. The research shows increasing focus on nudge theory in eHealth applications, co-creation frameworks for sustainable business models, and process innovation in small and medium enterprises. His work bridges technical information systems with human-centered design approaches. Dr. Garmann-Johnsen has been actively involved in several research initiatives including the Agder Living Lab project and the SAMBA project addressing child poverty consequences. His collaborative approach is evident in his numerous co-authored publications across international conferences and journals. He is affiliated with research groups including CEDIT and the Information and Communication Technologies for Development (ICT4D) group at the University of Agder, where he contributes to advancing knowledge in digital innovation and service design.

• Human Activity Recognition
• Deep Learning
• Neural Networks
• +5 more

Clayton Souza Leite serves as a Visitor (Faculty) at Aalto University's Department of Information and Communications Engineering, specializing in Mobile Cloud Computing applications. His academic appointments reflect active engagement with the university's research community through multiple collaborative projects. His educational background includes a Doctor of Science in Technology (Electrical Engineering) awarded on January 30, 2023, and a Master's degree in Engineering and Technology from Universidade Federal de Pernambuco completed on March 16, 2016. Dr. Souza Leite's research expertise centers on Human Activity Recognition and Deep Learning methodologies, with significant contributions to Point Cloud Processing (40%) Deep Neural Networks (36%) Autonomous Driving systems (30%) Sliding Window techniques (30%) His work demonstrates strong interdisciplinary connections between computer vision, machine learning, and practical engineering applications. His recent publications (2023-2024) reveal a clear research trajectory focusing on wearable technology for healthcare applications and computer vision solutions for autonomous systems. The article portfolio shows increasing sophistication in applying deep learning to real-world problems, particularly in gesture recognition through smart gloves and traffic analysis systems. Dr. Souza Leite has been actively involved in multiple significant research projects including EMIL (European Media and Immersion Lab), VISTORE (Personalised Virtual Stroke Rehabilitation), and CEAMA (Cognitive Engine for Assembly and Maintenance Automation), demonstrating his capability to secure and contribute to substantial research funding initiatives. His collaborative network spans multiple institutions and projects, with particular emphasis on Extended Reality applications, Virtual Reality systems, and Mixed Reality environments as evidenced by his participation in projects like BF BalticWay and HI2OT Nordforsk.