جست‌وجوی استاد و پژوهشگر

• Forensic Psychology
• Child Abuse Investigation
• Artificial Intelligence in Forensic Interviews
• +۳ مورد دیگر

Gunn Astrid Baugerud is a Professor at OsloMet - Storbyuniversitetet's Faculty of Social Sciences, Department of Social Sciences – Everyday life under different living conditions. Her research focuses on forensic psychology, child abuse investigation techniques, and integrating artificial intelligence into forensic interviewing. She leads projects like the Next Generation Avatar for Information-Gathering Interviews (ARGI) and Barneavhørsprosjektet, aiming to improve investigative practices through technology. Her work emphasizes improving the quality of forensic interviews with children, particularly those exposed to abuse. She has pioneered AI-driven child chatbots and avatar-based training tools for professionals such as police, social workers, and healthcare providers. Key projects include developing digital education programs using AI and cognitive psychology principles to prevent child maltreatment. Research highlights include national studies on preschool-aged abuse victims' disclosures and comparative analyses of 2D/3D virtual environments in interview training. Her dissemination includes workshops at international symposiums on child abuse and presentations to Nordic social work institutions. She collaborates with global institutions like the National Children's Advocacy Centers and the Canterbury Centre for Policing Research.

Salvador Borrós Gómezمشاهده پروفایل

استاد

• Materials Science
• Biomaterials
• Polymer Engineering
• +۱۶ مورد دیگر

Salvador Borrós Gómez is a Full Professor and Director General at IQS School of Engineering, Universitat Ramon Llull, where he is affiliated with the Department of Chemical Engineering and Materials Science and the Bioengineering Department. He leads the GEMAT (Materials Engineering Group), a recognized research group in materials science and nanomedicine. His work bridges academic leadership, research innovation, and industrial collaboration. PhD in Chemical Engineering, IQS (1993) Bachelor in Materials Characterization, Universitat de Barcelona (1993) MBA, IQS (1993) Bachelor in Chemical Engineering, IQS (1987) His research focuses on functional polymeric materials , biomaterials , and nano-drug delivery systems , with applications in tissue engineering, cancer therapy, and sustainable materials. He has pioneered work in stimuli-responsive nanoparticles, smart surfaces, and 3D bioprinting of soft biomaterials. His research lines include the design of biomimetic surfaces, high-performance adhesives, and materials for fuel cells and rapid manufacturing. The most recent articles highlight a strong trend in nanomedicine , particularly in mRNA and siRNA delivery for cancer and genetic diseases, 3D printing of silicone-based soft materials , and advanced hydrogel systems for localized therapy. There is also significant work on pregnancy-safe nanotherapies and biomedical device innovation , reflecting a translational focus from lab to clinic. He has received no explicitly listed scientific awards in the provided texts, but his leadership in major research grants and high-impact publications suggests national and international recognition. Borrós has supervised multiple PhD students and research projects, including FPI fellowships and industrial collaborations. He has led or co-led major research initiatives such as 3D-CARTIBONE, RECYVAL, COVINANOVAX, and CERTERA, which involve interdisciplinary teams and significant external funding. His work emphasizes technology transfer and real-world impact. He leads the GEMAT research group, which is part of the TecnoCampus Maresme and affiliated with ACCIÓ’s Tecnio network. The group focuses on three pillars: new functional materials, surface engineering, and biomaterials. It is a fully consolidated research group (SGR) recognized by AGAUR and actively involved in both academic and industrial innovation.

• Computer Science
• Artificial Intelligence
• Robotics

Gonzalo Esteban Costales is a researcher affiliated with the University of Leon from 2012 to 2025, specializing in Computer Science and Artificial Intelligence within the Robotics research group. His work bridges haptic simulation, robotics, and educational technology. Education: Ph.D. in Computer Science (2020), University of Leon, with a thesis on haptic simulators for expert knowledge transfer . Research Interests: Haptic simulation for surgical training and rehabilitation Robotics security in industrial environments Educational technology frameworks Version control analytics for student performance Open-source vulnerability detection tools Key Article Trends: Recent publications focus on haptic workspace optimization, threat modeling for robotic production plants, and security enhancements in continuous integration workflows. His work spans simulation design, cybersecurity, and educational applications of robotics.

• Simulation-Based Education
• Clinical Skills Development
• Health Professions Education
• +۳ مورد دیگر

Inger Hjelmeland is an Associate Professor at the University of Southeast Norway (Høgskolen i Østfold), affiliated with the Faculty of Health, Welfare and Organisation. Her research focuses on innovative educational methodologies, particularly simulation-based learning and clinical skills development in healthcare education. She has contributed to projects like the Digiview initiative, exploring digital supervision models and virtual learning environments. Her academic work emphasizes self-efficacy in clinical training, instructional video applications, and metacognitive development in professional education. Notable collaborations include studies on nursing skill performance and client-centeredness assessment instruments. She has been involved in creating pedagogical frameworks for healthcare education and advancing telehealth applications in clinical training. Inger has co-authored over 30 publications since 2007, spanning topics from simulation-based education efficacy to digital health innovation. Her work bridges educational theory and practical healthcare training, with a strong focus on evidence-based practices in health professions education.

• Game Development
• Serious Games
• Game Analytics
• +۷ مورد دیگر

Henrik Engström is a Professor of Informatics at the University of Skövde, affiliated with the School of Informatics and Department of Information Technology. He holds a PhD in Computer Science from the University of Exeter. His research focuses on game development processes, serious games, and interdisciplinary collaboration in game design. Engström has led multiple projects, including the Game Tech Academy and Sweden Game Arena initiative, aiming to leverage game technology for societal challenges in health, education, and industry. He coordinates the Game Development Master's Programme and has published extensively on topics like game analytics, inclusive design, and mobile game publishing strategies. His work often bridges academia and industry, emphasizing practical applications in training simulations and healthcare. Education: PhD in Computer Science (University of Exeter) Key Projects: Sweden Game Arena, Game Hub Scandinavia, Digital Parental Support Tools Research Interests: Game design processes, serious games for health, inclusive game development, and mobile game business models Engström’s research outputs span over two decades, with notable contributions to understanding game development challenges, stress detection in games, and the application of AI in game narratives. His book Game Development Research (2020) synthesizes empirical insights from industry practices. He collaborates internationally, including with Japanese and Scandinavian institutions, to advance educational game models and industry-academia partnerships. His articles highlight trends in data-driven decision-making for indie game publishers, the psychological impact of game design on player experiences, and leveraging game jams for addressing heavy societal topics. Engström also leads grants focused on digital health tools for expecting parents and sustainable urban planning via game-based participation. Labs/Teams: Key contributor to the Sweden Game Conference and collaborator with Game Tech Academy, fostering innovation in game-based solutions for societal challenges.

• Computer Science
• Artificial Intelligence
• Reinforcement Learning
• +۶ مورد دیگر

Eric Eaton is a prominent researcher in Computer Science, specializing in Artificial Intelligence, Reinforcement Learning, and Federated Learning. His work bridges theoretical advancements with practical applications in healthcare, robotics, and educational technology, as evidenced by his collaborations with institutions like the Vector Institute and co-authors such as Marcel Hussing and Amir-massoud Farahmand. Research Focus: Lifelong Learning, Object-Centric Representation, and Algorithmic Fairness Key Contributions: ELLA algorithm, Distributed Continual Learning frameworks, and AI integration in surgical video analysis His recent publications address critical challenges in high update ratio reinforcement learning, federated learning for surgical data, and ethical considerations in algorithmic fairness. These works highlight his interdisciplinary approach, combining AI with healthcare and education. Eaton's leadership in projects like FORLA and Slot-BERT demonstrates innovation in unsupervised learning and temporal coherence. His involvement in the CS2023 curriculum design underscores his commitment to advancing computer science education.

David Sjöbergمشاهده پروفایل

دانشیار

• Police Education
• Simulation Training
• Workplace Learning
• +۳ مورد دیگر

David Sjöberg serves as Associate Professor at Umeå University's Unit of Police Work, specializing in research, teaching, and pedagogical development for police and emergency response education. His work bridges academic theory with practical training methodologies for first responders. His educational background includes a Ph.D. in Education and the Swedish Docent title, signifying advanced research competence and doctoral supervision资格. Ph.D. in Education Docent in Education Sjöberg's research centers on simulation-based training innovations, examining psychological responses in mass casualty incidents, mixed reality applications, and informal workplace learning among police educators. He investigates how preparation phases, debriefing models, and role assignments impact practical knowledge development in vocational contexts, with strong emphasis on real-world applicability for police training. Analysis of his 15 most recent publications reveals consistent focus on simulation fidelity and learning transfer in emergency response training. Recent work (2023-2025) explores mixed reality integration and psychological adaptation in mass casualty scenarios, while earlier studies examine observer roles, secondary participant learning, and virtual case effectiveness. His research demonstrates methodological diversity through qualitative analyses, comparative studies, and longitudinal assessments. Awarded for teaching excellence, his recognitions include: Excellent teacher award at Umeå University Distinguished university teacher designation Sjöberg secures significant research funding through projects like MELODY (2018-2022) on police learning dynamics and Safety & Security Test Arena (2016-2019) for emergency response innovation. As Docent, he supervises doctoral candidates though specific advisees aren't listed in source materials. His grants consistently target simulation technology advancement and pedagogical refinement in high-stakes vocational training. He leads Umeå University's "Learning in police work" research profile, coordinating interdisciplinary collaboration between police educators, practitioners, and simulation specialists to develop evidence-based training protocols and evaluate learning outcomes in realistic operational environments.

Daniel Leonardمشاهده پروفایل

استاد

• Film Technology
• Cinematic Editing
• Virtual Production
• +۲ مورد دیگر

Daniel Leonard is a Professor and Associate Dean at Chapman University's Dodge College of Film and Media Arts. He specializes in Film Technology , Cinematic Editing , and Virtual Production , blending technical expertise with media education. Expertise: Technology, Editing, Film Production Office Location: Marion Knott Studios 318 Research and Creative Work focuses on virtual production challenges, AI-assisted editing, and educational workflows. His work includes film festivals submissions like Heathens and Thieves and educational programs such as Health Matters with Dr. Larry Santora . Scientific Awards include multiple Communicator and Telly Awards for documentary editing and educational content. His insights on film safety have been featured in the New York Times , LA Times , and NPR . Bronze Telly Award (2014) Communicator Award of Excellence (2014) Communicator Silver Award of Distinction (2013) Bronze Telly Award (2011) Industry Contributions span consulting roles for Cibola Systems, founding CTO of Hop.Media, and leadership in remote production workflows for major events like the Jimmy Awards (2021).

Richard Joinerمشاهده پروفایل

استاد

• Digital Technology and Learning
• Computer Supported Collaborative Learning
• Digital Games and Learning
• +۵ مورد دیگر

Richard Joiner is a Professor in the Department of Psychology at the University of Bath, where he serves as Deputy Head of Department for Education and Student Experience. He leads research at the intersection of digital technology and education within the Cognition, Affective Science & Technology Laboratories (CASTL). Academic appointment: Professor (since 2015) Administrative role: Deputy Head (Education & Student Experience) Research group: CASTL Research interests center on technology-enhanced learning: Digital technology for physics education Game-based engineering learning with 'Racing Academy' Conflict resolution in collaborative digital environments Gender dynamics in ICT adoption Immersive technology applications Extended mind theory in healthcare education Recent publications demonstrate: AI and VR integration in medical training ITEM framework validation for immersive tech Digital learning equity research Psychological impacts of technology mediation Curriculum innovation through tech Cross-disciplinary educational technology

Martim Brandãoمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Responsible AI
• +۱۲ مورد دیگر

Martim Brandão is a Lecturer (Assistant Professor) in Robotics and Autonomous Systems at King’s College London, where he leads the Responsible Robotics and AI (RRAI) Lab and serves as Co-Director of the UKRI Centre for Doctoral Training in Safe and Trusted AI. His research focuses on ethical, explainable, and safe AI and robotics, with applications in human-robot interaction, motion planning, fairness, and societal impact. His research interests include: Explainable AI and Motion Planning Fairness and Bias in AI Systems Human-Robot Interaction and Social Robotics Adversarial Robustness in Robotics Value Alignment and Ethical AI Inclusive and Participatory Robotics Design His recent publications (2023–2025) reflect a strong trend toward socially responsible robotics, focusing on fairness in navigation, explainability of planning failures, worker-centered agricultural robotics, environmental justice in drone delivery, and the dangers of bias in drowsiness detection and LLM-driven robots. His work emphasizes user understanding, societal impact, and ethical safeguards in autonomous systems. He has advised and collaborated with numerous students and researchers across diverse topics in robotics and AI. He is actively involved in shaping responsible robotics through: Leadership in the RRAI Lab Co-directing a national CDT in Safe and Trusted AI Developing fairness-aware algorithms Advocating for inclusive and ethical design practices His lab and research group focus on: Responsible Robotics and AI Explainability in Multi-Agent Planning Fairness in Coverage and Navigation Human-Centered Evaluation of AI Systems

Paul Charlesrajمشاهده پروفایل

مدرس ارشد

• Project Management
• Construction Engineering
• Knowledge Management
• +۵ مورد دیگر

Paul Charlesraj is a Senior Lecturer in Construction Project Management at the University of Huddersfield, UK, affiliated with the Department of Design and Architecture within the School of Arts and Humanities. He is a Chartered Surveyor (MRICS), Project Management Professional (PMP®), and Certified Knowledge Manager (CKM). His roles include leading undergraduate and postgraduate courses in Construction and Project Management, and他曾担任MBA-CPM项目主任。他积极参与专业发展计划的开发，并在RICS和相关机构担任监督和评估角色。 教育背景未明确提及，但根据其职业轨迹推断，他拥有建筑或工程管理领域的高级学位。他的研究兴趣集中在技术驱动的施工管理，包括知识管理、数字施工、绩效管理以及灾害管理等领域。他致力于通过基于知识的教育和培训提升项目交付效率和价值创造。 研究方向包括项目管理、施工技术、知识管理、数字转型和领导力变革管理。其近期研究趋势聚焦于数字工具（如无人机、BIM）在施工中的应用，员工心理健康，以及新兴技术的采用障碍。他与VTT Technical Research Centre等机构建立了国际合作，并参与PMI标准委员会。 奖项方面，目前未提及具体科学荣誉。他积极参与学术活动，包括在国际会议上发表演讲（如2025年ICE邀请演讲）并担任同行评审。他的专业活动包括担任英国多家行业组织的会员，如项目管理协会（APM）和机构工程师学会（ICE）。 指导方面，虽然未列学生姓名，但提到他监督了RICS专业能力评估（APC）。实验室和团队包括参与Centre for Urban Design, Architecture and Sustainability及Innovative Design Lab Research Centre。

Alfredo Bensoمشاهده پروفایل

استاد

• Bioinformatics
• Systems Biology
• Artificial Intelligence
• +۱۶ مورد دیگر

Alfredo Benso is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he is also a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab. He has been continuously involved in the Doctoral College for Computer and Systems Engineering since 2008, guiding PhD education across numerous cycles. His academic roles span teaching and research leadership in bioinformatics, systems biology, and computer engineering. Research interests: Bioinformatics and computational biology Systems biology and gene regulatory networks Artificial intelligence and machine learning in biomedicine Molecular modeling and multiscale simulation Biological database systems and data integration Health informatics and public health modeling His recent publications reflect a strong trend in applying AI and machine learning to biological and medical challenges, including protein function prediction, Alzheimer’s and Multiple Sclerosis modeling, food fraud detection, and viral genome analysis. These works span journals and conferences in bioinformatics, computational biology, and biomedical engineering, demonstrating interdisciplinary innovation. Scientific Awards: BIOINFORMATICS 2014 BEST PAPER AWARD (INSTICC, United Kingdom) Advising and Grants: He supervises PhD students, including Sofia Ostellino, and leads major research initiatives such as the BIGMECH (2023–2025) and FISHUB (2016–2018) projects. He has served as Scientific Director for collaborative agreements with public administrations and as Principal Investigator on EU, national (PRIN), and regional research grants focused on bioinformatics, space systems, and reliable digital technologies. Labs and Teams: He is a key member of the SBG - System Biology Group (DAUIN) and contributes to PolitoBIOMed Lab, fostering collaborative research in biomedical engineering and computational biology.

• Human-Computer Interaction
• Assistive Technology
• Rehabilitation Engineering
• +۳ مورد دیگر

Dr. Ahmad Alsaleem is an Assistant Professor at the Jordan University of Science and Technology, specializing in assistive technologies and human-centered design. He holds a Ph.D. in Computing and has prior experience as a Software Engineer and researcher at Craig Nilsen Rehab Hospital and the Gapp Lab. His work focuses on enabling individuals with disabilities to participate in outdoor activities, extreme sports, and physiotherapy through advanced interactive systems. Education: Ph.D. in Computing. Previous affiliations include the University of Utah's School of Computing (listed on CV). Research Interests: Dr. Alsaleem's research bridges technology and disability studies, emphasizing spinal cord injury rehabilitation, shared control systems, and ability-based design principles. He designs adaptive technologies for extreme sports participation and game-based physiotherapy solutions. His projects include Tetra-Sport (main researcher), Smart Room Technology (IT consultant), and Health2Go (project manager). Projects & Contributions: Tetra-Sport: Empowers individuals with complex injuries via outdoor sports simulations. Health2Go: Improves health data collection in Ghana using Flutter and Hive database systems. Police De-Escalation Simulator: Co-created a training tool for law enforcement. Labs & Teams: Collaborates with the Gapp Lab and leads cross-functional teams in developing assistive technologies. His work integrates robotics, software engineering, and user-centric design to address accessibility challenges.

Christian Buschmannمشاهده پروفایل

پژوهشگر

• History Didactics
• Simulation Games in Education
• Empirical Teaching Research
• +۳ مورد دیگر

Christian Buschmann is a researcher at Goethe University Frankfurt am Main's Department of History Didactics and Institute for Sports Pedagogy, with a focus on simulation games in history and sports education since 2019. Doctoral scholarship holder (Friedrich Ebert Foundation, 2022-present) Studied German, Politics & Economics, and History (Secondary Education) Research interests center on: Simulation and role-playing games in history lessons Empirical teaching research Professionalization in teacher training using simulation methods Digital historical learning Jewish history in education and museums Article trends show expertise in simulation game design, reflective learning phases, Jewish history pedagogy, and inclusive education models across history and sports didactics. Key subfields include digital pedagogy, role-playing methodology, and teacher training innovations. Scientific recognition includes: Friedrich Ebert Foundation doctoral support German Academic Scholarship Foundation program participation Active in research projects like DigiTeLL, "Planspiel meets VR", and "EKG – Explanatory Videos in History" while serving as editorial supervisor for the March 2025 issue of "Sportunterricht".

Attila Bekkvik Szentirmaiمشاهده پروفایل

استادیار

• Universal Design of ICT
• Human-Computer Interaction
• Augmented Reality
• +۵ مورد دیگر

Attila Bekkvik Szentirmai is an Assistant Professor and Ph.D. research fellow at the Department of Design, Norwegian University of Science and Technology (NTNU), focusing on Universal Design of ICT, Human-Computer Interaction, and Augmented Reality (AR) development. With prior academic roles at the University of Agder and Oslo Metropolitan University, his interdisciplinary background bridges Social Science, Art, Software Engineering, and Digital Health. He teaches Web of Things (IDG3006) and leads innovative AR projects like AReader (AR screen reader), ARachnoAID (phobia treatment), and guARdian (daily decision support). Current role: Assistant Professor at NTNU Research focus: Universal Design, AR/VR accessibility, e-Learning/e-Health Teaching: Web of Things (IDG3006) course coordinator Previous roles: Assistant Professor at University of Agder and OsloMet His recent publications emphasize accessible AR/VR design, including humor/ethics in technology, sustainable AR solutions, and critical analysis of accessibility paradoxes. Projects span education (SlidAR classroom presentations), health (CybAR sickness, ARachnoAID), and sustainability (HoloWatch, E-Waste gaming). All work aligns with universal design principles to ensure inclusivity across diverse user needs. Scientific contributions include developing new accessibility heuristics for AR, analyzing AI-AR integration for decision-making, and creating prototypes for banknote recognition and indoor navigation. His publications bridge theoretical research with practical implementations, often using Unity/Vuforia for development and cross-disciplinary collaboration. His XR Research & Development timeline highlights innovations such as Deadliest Animals (2017, first universally designed WebVR), UndARtheSkull (2019, brain anatomy education), and 2023 projects like Jedi fARt Pro (humorous AR), Meta IntARaction (Quest3 AR), and XR Portal (AR-VR integration). Current Ph.D. work focuses on evidence-based accessibility guidelines for AR, aiming to impact social inclusion, academic research, and industry UX practices.