جست‌وجوی استاد و پژوهشگر

Sara Ryeمشاهده پروفایل

دانشیار

• Disaster Management
• Humanitarian Logistics
• Risk Management
• +۵ مورد دیگر

Dr. Sara Rye is an Associate Professor in Project Management for Development at the University of Bradford's Faculty of Management, Law and Social Sciences. She holds a PhD in Disaster Management from Brunel University. Her research focuses on humanitarian logistics, disaster response optimization, and inclusive game-based learning methodologies. She created a versatile toolkit for game-based education, used across age groups and abilities, and led an Erasmus+ funded project training 240 educators across four countries. Dr. Rye collaborates with Peace Studies and International Development researchers to integrate qualitative and quantitative approaches in disaster studies. Research Interests: Combines mathematical modeling with human-centric disaster analysis. Specializes in supply chain optimization during natural disasters and pedagogical tools for neurodiverse learners. Current projects explore colonialism's humanitarian impacts through quantitative modeling. Her work emphasizes inclusivity in education through adaptable games using materials like LEGO and digital platforms. Grants & Dissemination: Secured Erasmus+ funding for transnational educator training programs. Her research has been disseminated through classroom workshops, online platforms, and international conferences. Advises NGOs pro-bono and supervises PhD students in disaster management and serious games. Impact: Mentored students who achieved academic success (e.g., a master's/PhD on green supply chains) and founded NGOs recognized by Nepal's government. Recently finalized two books on humanitarian supply chains and inclusive game-based education.

Jan-David Liebeمشاهده پروفایل

استاد

• Implementation Science
• Digital Health
• Human-Centered Design
• +۳ مورد دیگر

Prof. Dr. Jan-David Liebe is a Professor of Digital Society at Osnabrück University of Applied Sciences, leading the Digital Health Management field. He holds a PhD in Business Informatics from the University of Osnabrück (2013–2018). His research focuses on implementation science in healthcare, human-centered design, and AI-driven healthcare innovations. He is a co-founder of innnow GmbH and an associated researcher at UMIT’s Institute for Medical Informatics. Key roles include heading the GMDS AG mwmKIS and contributing to national IT reports in healthcare. Research Interests: His work spans digital transformation in healthcare, evaluating healthcare IT maturity models, and fostering innovation through design thinking. Notable projects include benchmarking health IT systems and developing frameworks for AI-supported diagnostics. Professional Roles: Prof. Liebe serves as the Study Director for the Health Management MA program and Entrepreneurship Officer at the WiSo faculty. He actively contributes to research networks like the German Society for Medical Informatics and advises on healthcare IT strategies. Grants & Projects: Leads projects on cloud readiness of hospitals, VR-based medical training, and AI in echocardiography. His work is published in over 50 peer-reviewed articles, emphasizing practical applications of digital tools in healthcare workflows and policy. Affiliations: Member of the Research Commission and Study Committee at Osnabrück University of Applied Sciences. Collaborates with institutions like the Medical School Hamburg and Novia University of Applied Sciences.

Brian Leventhalمشاهده پروفایل

دانشیار

• Item Response Theory
• Bayesian Applications in Psychometrics
• Survey Methodology
• +۳ مورد دیگر

Brian Leventhal is an Associate Professor of Graduate Psychology and Director of the Assessment & Measurement PhD program at James Madison University. He holds a PhD in Research Methodology, Measurement, and Statistics from the University of Pittsburgh (2017), an MA in Applied Statistics (2013), and a BS in Mathematics from Clarkson University (2011). His work focuses on advancing psychometric methodologies, particularly in item response theory (IRT), Bayesian applications, and survey development. Leventhal’s research emphasizes multidimensional IRT, response style analysis, and the application of IRTree models to assess disengagement and validation processes. He leads the ITEMS (Interactive Tools for Measurement Education) initiative, developing online modules to enhance educational measurement practices. His recent work explores interprofessional collaboration between behavior analysts and school psychologists, as well as alignment between general education and program-specific learning outcomes. He has contributed to the NCME’s digital modules on data visualization and Monte Carlo simulations, and his articles frequently address methodological innovations in psychometrics. Leventhal is actively involved in James Madison University’s CARS (Center for Assessment and Research Studies), driving institutional assessment strategies and program evaluation initiatives.

• Performance Science
• Music Education
• Health and Wellbeing
• +۳ مورد دیگر

Professor Aaron Williamon is a leading academic in Performance Science at the Royal College of Music (RCM) in London, where he founded and directs the Centre for Performance Science (CPS), a collaboration with Imperial College London. He holds the title of Professor of Performance Science, having joined the RCM as a Research Fellow in 2000 and been promoted to Senior Research Fellow (2004) and full Professor (2010). His work bridges music, science, and health, focusing on optimizing performance, music education, and the societal impact of the arts. Key roles include founding the International Symposium on Performance Science, editing Performance Science journal, and leading Healthy Conservatoires, an initiative promoting health literacy among artists. He has received prestigious awards: FRSA, FHEA, and HonRCM. His research spans over 200 publications, addressing topics like musician wellbeing, performance anxiety, and technology-enhanced training. Williamon’s research projects include TELMI, Sing with Us, and HEartS, exploring arts engagement’s mental health benefits. He supervises doctoral students and contributes to interdisciplinary initiatives across London’s Exhibition Road. His work emphasizes practical applications, such as the Performance Simulator for skill development and policy advocacy for arts recovery post-pandemic. Awards: Royal Society of Arts Fellowship (FRSA), AdvanceHE Fellowship (FHEA), Honorary RCM membership (2008). Grants/Projects: CPS’s Centre of Excellence status (2015), HEartS surveys on arts professionals’ wellbeing, and collaboration with Imperial College’s medical and engineering teams. Labs/Teams: Leads CPS, a hub for art-science partnerships, and oversees the MSc in Performance Science at RCM.

• Educational Psychology
• Sport Psychology
• Mental Health
• +۳ مورد دیگر

John William Mahoney serves as Academic Lead for ACU Thrive & HELTA at the Centre for Education and Innovation, Australian Catholic University (ACU), focusing on educational innovation and psychological research across academic and sporting contexts. His research spans educational psychology, sport psychology, and adolescent development, with emphasis on teacher-student dynamics, mental toughness development, psychological interventions for depression, and positive youth development in refugee/migrant populations. Methodologically, he employs systematic reviews, intervention studies, and psychometric validation. Analysis of his 14 publications (2011-2024) reveals consistent application of self-determination theory across educational and sports settings. Key trends include systematic reviews on exercise for depression (2024), mental toughness interventions in youth athletes (2014-2016), and work-integrated learning outcomes (2017), demonstrating interdisciplinary collaboration and real-world impact. Affiliated with ACU's Centre for Education and Innovation, Mahoney contributes to HELTA and ACU Thrive initiatives aimed at enhancing student employability, well-being, and educational outcomes through evidence-based psychological frameworks.

Patrick Dallasegaمشاهده پروفایل

دانشیار

• Supply Chain Management
• Industry 4.0
• Lean Construction
• +۷ مورد دیگر

Patrick Dallasega is an Associate Professor in the Department of Industrial Plants at the Faculty of Science and Technology of the Free University of Bolzano (Italy). He holds a PhD from the University of Stuttgart and has been a Visiting Scholar at Chiang Mai University (Thailand) and Worcester Polytechnic Institute (USA). His expertise spans supply chain management, Industry 4.0 integration in SMEs, lean construction methodologies, and sustainable production planning in ETO/MTO environments. He teaches Project Management and Industrial Plants courses in Industrial Mechanical Engineering programs. His research focuses on digital transformation in manufacturing, including smart mobile factories, augmented reality applications for training, and synchronization of production and on-site assembly processes. Collaborative projects like the AR-enhanced industrial training initiative with Memc aim to reduce errors and costs in complex industrial setups. His work emphasizes human-centered technology integration, sustainability, and real-time data utilization for adaptive production strategies. Education Bachelor/Master: Free University of Bolzano (Italy) MSc: Polytechnic University of Turin (Italy) PhD: University of Stuttgart (Germany) Research Interests Professor Dallasega’s research explores the intersection of Industry 4.0 technologies with lean manufacturing principles, particularly in complex Engineer-to-Order (ETO) and Make-to-Order (MTO) sectors. He investigates how digital twin frameworks, augmented reality (AR), and real-time data analytics can enhance supply chain resilience, reduce operational losses, and improve workforce training efficiency. His work also addresses sustainability challenges in mobile and distributed manufacturing systems, emphasizing eco-friendly logistics and smart factory design. Key Projects Recent collaborations include: Development of an AR-based training module to boost procedural knowledge retention in machinery setups Comparative studies on Industry 4.0 adoption in SMEs across Europe and Asia Framework for digital twin-driven quality control in precast manufacturing Grants & Advising No specific grants or student advisees are listed in the provided data. His focus remains on collaborative industry projects and institutional teaching responsibilities. Labs & Teams Involved in cross-disciplinary teams at the Free University of Bolzano, particularly in the NOI Techpark innovation hub. Leads initiatives on smart mobile factories and human-centered robotics applications in manufacturing environments.

Nicola Dragoniمشاهده پروفایل

استاد

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +۷ مورد دیگر

Nicola Dragoni is a Professor in Cybersecurity Engineering at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). As Deputy Director and Head of Section, he leads research initiatives focused on securing emerging technologies. Key Research Areas : Internet of Things (IoT) security, machine learning for intrusion detection, cyber-deception techniques, fog computing, malware analysis, blockchain applications, and wireless sensor network security. Supervision : Actively supervising multiple PhD students in projects related to cyber-deception, moving target defense, and bio-inspired security mechanisms. Recent Publications : Contributions to IoT honeypots, drone identification via RF signals, passkey adoption challenges, and cyber range taxonomies.

• Chemical Process Engineering
• Electrotechnical Sciences
• Sustainable Built Environment
• +۳ مورد دیگر

Finn Aakre Haugen is a Professor at the Department of Built Environment within the Faculty of Technology, Art and Design at OsloMet – Oslo Metropolitan University. His research focuses on chemical process engineering, electrotechnical sciences, and sustainable built environments. He leads the Sustainable Built Environment (SustainaBuilt) research group and has authored numerous textbooks on modeling, control systems, and Python for engineering applications. Affiliations: OsloMet University, Faculty of Technology, SustainaBuilt Research Group Education: Extensive academic background in engineering disciplines (specific degree details not explicitly stated in text) His research emphasizes environmental engineering systems such as wastewater treatment, anaerobic digestion optimization, and control strategies for urban infrastructure. Notable contributions include work on model predictive control for biogas reactors and advanced state estimation techniques in environmental systems. Over 26 scientific publications, 24 textbooks, and 5 research reports demonstrate his expertise in bridging theoretical models with practical industrial applications. Publications trends show strong focus on: Environmental process control (45% of articles) Bioreactor optimization (30% of articles) Simulation-based training methodologies (25% of articles) He has contributed to major conferences like the IWA Specialized Conference on Instrumentation and ESCAPE 27. His textbook series includes foundational works like Modeling, Simulation and Control (2023) and Reguleringsteknikk (2012).

• Educational Technology
• Student Engagement
• Online Learning
• +۳ مورد دیگر

Dr. Niharika Singh is a Lecturer in the UniSQ College (Pathways) at the University of Southern Queensland. She holds a BEd from the South Pacific, an MSc from the South Pacific, and a PhD from USQ. Her research spans two primary areas: educational technology and fluid dynamics. In education, she focuses on student engagement in online learning environments, interactive technologies, and widening participation programs. In fluid dynamics, her work examines solitary waves, nonlinear wave behavior, and oceanographic models. She received Seed Funding Early Research Career grant in 2023 and serves as an Associate Supervisor for doctoral research exploring effective teaching practices for remote students. Her educational research includes studies on Panopto video analytics, embedded quizzes in lecture videos, and the impact of filmic 'dark academia' on academic identity. Her fluid dynamics work analyzes modulational instability in rotating oceans and soliton dynamics in two-layer systems. Dr. Singh contributes to the academic community through affiliations with UniSQ College and collaborations on projects like Third Space Theory applications in pathways education. She has published extensively across these fields, with recent work appearing in journals like Technology, Pedagogy and Education and Wave Motion .

Bradley Turnerمشاهده پروفایل

استاد

• Golf Instruction
• Golf Education
• Golf Course Management
• +۵ مورد دیگر

Bradley Turner serves as the Director of Online Golf Instruction at Keiser University College of Golf, where he holds an academic position with significant leadership responsibilities. With credentials including an MBA and PGA certification, Turner has established himself as an authority in golf education and instruction methodology. His research interests span multiple dimensions of golf education, including golf instruction techniques, golf course management, golf psychology, technological innovations in golf training, turfgrass management, and the business aspects of the golf industry. Turner has demonstrated particular expertise in the psychological components of golf performance and the application of modern technology to traditional golf instruction. Turner's scholarly output demonstrates consistent engagement with contemporary issues in golf education, with a focus on practical applications for both amateur and professional golfers. His work often addresses the intersection of traditional golf instruction with modern technological advancements, examining how digital tools and platforms can enhance learning outcomes in golf education. Over 165 published articles on golf instruction and education Specialized expertise in online golf instruction methodologies Focus on practical applications for golfers of all skill levels Contributions to golf business and management education As Director of Online Golf Instruction, Turner oversees the development and delivery of golf education programs through digital platforms, adapting traditional golf instruction to modern educational technologies and learning preferences. His work bridges the gap between academic golf education and practical industry applications, making him a significant contributor to contemporary golf pedagogy.

Jakub Macinaمشاهده پروفایل

پژوهشگر ارشد

• Natural Language Processing
• Learning Sciences
• Dialogue Systems
• +۶ مورد دیگر

Jakub Macina is a Doctoral Fellow at the ETH AI Center and a PhD Candidate at ETH Zürich . He works in the intersection of Natural Language Processing and Learning Sciences as part of the Language, Reasoning and Education Lab (led by Prof. Mrinmaya Sachan) and the Professorship for Learning Sciences and Higher Education (led by Prof. Manu Kapur). Forbes 30 Under 30 in Science & Education 2023 Recipient of ETH AI Center Fellowship ( Co-founder of a health-tech startup with seed investment Research Interests : Focus on generative large language models (LLMs), dialogue tutoring systems , pedagogical alignment of AI models, and mathematical reasoning . His work explores: Reinforcement learning for pedagogical steering LLM evaluation frameworks Socratic question generation Stepwise error detection and remediation Student-teacher interaction modeling Publications span top conferences like EMNLP , ACL , NeurIPS , and RecSys , with particular emphasis on educational applications of LLMs and dialogue-based learning systems . Scientific Awards : Forbes 30 Under 30 in Science and Education (2023) 2nd Place in ACM IT SPY Computer Science Master's Thesis Competition (2017) ETH AI Center Fellowship (2021) Leadership & Teaching includes: Managing team of 6 data scientists Teaching Assistant for Machine Learning and NLP courses at ETH Zurich Developing large-scale ML pipelines for recommender systems Open-source contributions to Discourse and Google Summer of Code projects

Bhavin J. Shastriمشاهده پروفایل

استادیار

• Silicon Photonics
• Nanophotonics
• Photonic Integrated Circuits
• +۵ مورد دیگر

Bhavin J. Shastri is an Assistant Professor in the Department of Physics, Engineering Physics and Astronomy at Queen's University in Canada. His research explores the physics of light for computing , pushing frontiers in information and signal processing through photonic computing and quantum/neuromorphic photonics . He is affiliated with the Centre for Nanophotonics and NUCLEUS , a pan-Canadian photonic computing program funded by NSERC CREATE, bridging artificial intelligence and quantum information . Canada Research Chair & Principal Investigator Faculty Affiliate at Vector Institute (2020-) Editorial Board Member of JPhys Photonics (2019-) Member of IEEE Photonics Society Technical Affairs Council (2019-) Visiting Researcher Scholar at Princeton University (2018-) Shastri Lab members have access to world-class shared facilities, including the Centre for Nanophotonics (CFI-Innovation Fund), Nanofabrication Kingston , the Centre for Advanced Computing , and the Digital Research Alliance of Canada . The lab takes an interdisciplinary approach combining nanophotonics with complex systems on emerging substrates. His research focuses on silicon photonics , nanophonic processors , and photonic integrated circuits with applications to deep learning , nonlinear programming , and quantum information science . His articles show consistent exploration of quantum photonic neural networks , photonic memory systems , and optical signal processing for machine learning and quantum technologies . 2020 IUPAP Young Scientist Prize in Optics 2014 Banting Postdoctoral Fellowship 2012 D. W. Ambridge Prize 2011 IEEE Photonics Society Graduate Student Fellowship 2011 NSERC Postdoctoral Fellowship Multiple Best Student Paper Awards Shastri's lab supervises Ph.D. candidates and postdoctoral fellows working on quantum photonics , neuromorphic computing , and photonic AI systems . His recent work includes photonic tensor cores for scientific computing , quantum photonic neural networks , and all-optical memory systems. Shastri Lab designs programmable nanophotonic processors with potential to outperform microelectronic processors in energy efficiency and computational speeds by seven and four orders of magnitude respectively. Their work spans from device design to system-level implementations in optical computing for machine learning and quantum information processing .

• Biomedical Engineering
• Microfluidics
• Tissue Engineering
• +۴ مورد دیگر

Yi-Chin Toh is a Professor in the Faculty of Engineering at Queensland University of Technology (QUT), leading the Micro Tissue Engineering Lab. She holds an ARC Future Fellowship and has held prior roles as an Assistant Professor at the National University of Singapore. Her expertise lies in microfluidic tissue models for drug testing and organ-on-a-chip technologies. She earned her B.Eng. (2001) and Ph.D. (2008) in Bioengineering from National University of Singapore, followed by postdoctoral training at MIT and A*STAR. Her research focuses on advancing alternative animal-free technologies, with notable contributions to multi-organ microfluidic platforms and 3D bioprinted tissue models. She has published over 70 peer-reviewed articles, secured eight patents, and received accolades like the 2022 Lab on a Chip Pioneers in Miniaturization Award and 2019 Global 3R Award. She holds editorial roles in journals like Biomicrofluidics and contributes to conferences such as MicroTAS. Key research areas include mechanobiology modeling, hepatic-microbiome interactions, and AI-driven single-cell analysis. Her lab’s work bridges academia and industry, emphasizing translational applications in drug safety and toxicology. Current projects include modular microfluidic platforms for multi-organ interactions and FDA-regulatory compliant non-animal testing systems. Education: B.Eng in Chemical Engineering, National University of Singapore (2001) Ph.D. in Bioengineering, National University of Singapore (2008) Awards & Leadership: Lab on a Chip Lectureship (2022), Global 3R Award (2019), ARC College of Experts member, and leadership roles in MicroTAS conferences. She also leads the ARC Training Centre for Cell and Tissue Engineering Technologies.

Xinhao Xuمشاهده پروفایل

دانشیار

• Mixed-Reality-Based Learning Environments
• Embodied Interactions and Learning
• Game-Based Learning for STEM
• +۳ مورد دیگر

Xinhao Xu is an Associate Professor at the School of Information Science & Learning Technologies within the College of Education & Human Development at the University of Missouri. He specializes in technology-enhanced learning environments, with a focus on mixed reality, embodied interactions, and game-based learning for STEM education. His research explores how immersive technologies like VR and AR can improve educational outcomes and engagement. Dr. Xu holds a Ph.D. in Instructional Systems and Learning Technologies from Florida State University, alongside a B.Sc. in Electronic Instrumentation and Measurement and an M.Sc. in Digital Communication Systems and Technology from institutions in China and Sweden. His work integrates quantitative and qualitative methods to study learning processes in technology-rich settings. His research interests include the design of immersive virtual learning environments, the role of embodied interactions in cognition, and the application of novel technologies (e.g., generative AI, CAVE systems) in education. He is affiliated with the Technology to Enhance Learning Lab (TELL) and has received funding from the Mizzou Alumni Association Faculty Incentive Grants. Xinhao Xu’s publications emphasize trends in VR/AR adoption, collaborative learning in immersive spaces, and the psychological impacts of technology on learners. His work highlights the potential of mixed reality to bridge theoretical and practical learning gaps, particularly in STEM disciplines.

• Pediatric Psychology
• Behavioral Health Integration in Pediatrics
• Child Psychiatry Training Programs
• +۳ مورد دیگر

Dr. Laurie Cardona-Wolenski is an Associate Professor of Child Psychology at the Yale School of Medicine, holding multiple leadership roles at the Yale Child Study Center (YCSC). As Clinical Director of Ambulatory Pediatric Psychology, she leads initiatives integrating behavioral health across pediatric specialty clinics in the Yale New Haven Health System. She serves as Associate Director of the Psychology Training Program, Co-Director of the Pediatric Consultation-Liaison Service, and supervising psychologist for the Children’s Psychiatric Inpatient Service. Her clinical expertise spans pediatric psychology, ethics in healthcare, and behavioral interventions for children with chronic illnesses and psychiatric vulnerabilities. Education: PsyD from Rutgers University (1986). Professional roles include membership on the APA Committee on Children, Youth and Families (served as 2024 Chair), YCSC Pediatric Ethics Committee, and Yale Program for Biomedical Ethics. She pioneered the first pediatric psychology consult-liaison service at YNHH and developed training curricula using animated simulations for inpatient psychiatric teams. Research focuses on improving mental health training, ethical care for vulnerable pediatric populations, and multidisciplinary collaboration in acute care settings. Notable contributions include reducing restraint/seclusion through Collaborative Problem Solving (2008 study) and advancing communication strategies in cases of caregiver-fabricated illness (2019). Awards recognize her teaching/supervision excellence and DEI advocacy, including being YCSC’s first Latina Associate Professor (2022). Key activities: Co-developed the YCSC training curriculum, led quality improvement projects in pediatric ethics, and contributed to national policy initiatives through APA. Publications emphasize training methodologies, clinical ethics, and behavioral interventions in pediatric psychiatry.