جست‌وجوی استاد و پژوهشگر

Sungwon Shinمشاهده پروفایل

دانشیار

• Instructional Design
• Student-Centered Instruction
• Technology-Enhanced Learning
• +۳ مورد دیگر

Sungwon Shin is an Associate Professor in the Department of Curriculum & Instruction at the College of Education , Texas Tech University. Her work focuses on instructional design, technology integration, and student-centered strategies in education. She leads the Personalized Learning Video Case Library ( http://plcase.ttu.edu ) and collaborates on STEM initiatives for underrepresented K-12 students, including a summer STEM camp in rural schools. Education : Ph.D. in Instructional Systems Technology, Indiana University Bloomington (2015) M.S. in Education (Social Studies), Indiana University Bloomington (2014) Postgraduate Diploma in Modern History, University of St. Andrews (2008) B.A. in History, Ewha Woman's University (2004) Research Interests : Dr. Shin's research emphasizes inquiry-based learning, case-based pedagogy, and collaborative learning frameworks. She explores how technology supports social knowledge construction and designs student-centered STEM programs. Her recent work includes: Video case-based teacher training Online course quality assurance frameworks CS curriculum implementation in middle schools Grants & Collaborations : She is actively pursuing external grants to expand STEM outreach programs. Her collaborations span engineering and education departments, emphasizing rural school partnerships. Prior industry experience in e-learning (4 years) informs her work on scalable instructional programs. Labs/Teams : Leads the Personalized Learning Video Case Library and collaborates with STEM education teams in the College of Education to develop K-12 outreach initiatives.

Hoda Eldardiryمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۶ مورد دیگر

Hoda Eldardiry is an Associate Professor in the Department of Computer Science at Virginia Polytechnic Institute and State University (Virginia Tech), and Director of the Machine Learning Laboratory. Her research focuses on artificial intelligence, machine learning, data mining, and their applications in policy, ethics, and complex systems analysis. Education: Ph.D., Computer Science, Purdue University M.S., Computer Science, Purdue University B.E., Computer and Systems Engineering, Alexandria University, Egypt Research Interests: Eldardiry’s work spans machine learning modeling (e.g., hypergraph neural networks, time-series forecasting), AI ethics and policy education, and interdisciplinary applications in transportation, healthcare, and cybersecurity. She emphasizes socially responsible AI development through curriculum design and policy frameworks. Recent Research Themes: Her 2025 publications highlight advancements in graph-based learning, policy-aware AI education modules, and novel techniques in multi-modal data analysis. Key areas include zero-shot learning, sparse control systems optimization, and collaborative machine learning frameworks. Labs & Teams: Directs the Machine Learning Laboratory at Virginia Tech, fostering innovation in ethical AI systems and data-driven decision-making.

Brian M. Kleinerمشاهده پروفایل

استاد

• Human Factors Engineering and Ergonomics
• Macroergonomics
• Construction Safety
• +۵ مورد دیگر

Brian M. Kleiner is a Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech and serves as Director of the Myers-Lawson School of Construction, a joint venture between the Colleges of Engineering and Architecture and Urban Studies. He holds the Ralph H. Bogle Professorship and has been recognized with numerous awards for teaching, research, and leadership. Dr. Kleiner’s education includes a Ph.D. (1990), M.S.I.E. (1983), and B.A. (1981) from the State University of New York at Buffalo. His professional history spans over 30 years at Virginia Tech, where he has led initiatives in macroergonomics, construction safety, and socio-technical systems. His research focuses on human factors engineering, macroergonomics, and work system design, with emphasis on construction safety, healthcare systems, and organizational resilience. He directs the Macroergonomics and Group Decision Systems Laboratory and co-founded the Center for Innovation in Construction Safety and Health Research. Notable achievements include pioneering studies on safety climate in construction supply chains, electrical hazard prevention, and human-centered smart housing design. His work has been supported by federal grants and industry partnerships, addressing critical challenges in occupational safety and health. Awards highlight his contributions to teaching, including multiple Paul E. Torgersen Awards, and leadership, such as the Distinguished Professor Award from the Construction Industry Institute. He actively serves on national advisory boards, including the National Occupational Research Agenda (NORA) and the Human Factors and Ergonomics Society.

Egil Øvrelidمشاهده پروفایل

دانشیار

• Digital Innovation
• Healthcare Information Systems
• IT Architecture
• +۳ مورد دیگر

Egil Øvrelid is an Associate Professor at the Department of Informatics (IFI), University of Oslo, affiliated with the Digital Innovation (DIN) research group. His work focuses on digital infrastructures, healthcare IT systems, and sociotechnical interplay in organizational innovation. He explores topics such as digital transformation, process innovation, and platform ecosystems in healthcare and higher education contexts. His research emphasizes the alignment of digital strategies with organizational practices, particularly in large-scale infrastructures. Key areas include lightweight IT solutions for process innovation, architectural transformation in incumbent organizations, and governance mechanisms in collaborative platforms. He has contributed to frameworks like 'dual digitalization' and 'adaptive mirroring' in healthcare IT architectures. Notable projects include the TSD platform for sensitive data research and studies on national digital ecosystems like Norway’s one-citizen-one-health-record initiative. His work bridges theory and practice, often collaborating with healthcare and educational institutions to address real-world challenges in digital innovation. Research Groups: Digital Innovation (DIN) Key Themes: Sociotechnical systems, digital transformation, healthcare IT, process innovation, platform ecosystems

Xiangming Taoمشاهده پروفایل

استادیار

• Innovation Management
• Project Management
• Entrepreneurship
• +۷ مورد دیگر

Dr. Xiangming Tao is an Assistant Professor in Innovation and Project Management at the Science Policy Research Unit (SPRU) within the University of Sussex Business School. He holds a PhD from Royal Holloway, University of London, and has served as a Visiting Scholar at Warwick Business School and Politecnico di Milano. His research focuses on innovation failure learning, new product development, and inclusive innovation, with publications in journals like Journal of Product Innovation Management and Technovation . Education: PhD - Royal Holloway, University of London MSc - Shanghai University PGCertHE - University of Sussex Research Interests: His core areas include learning from innovation failure, NPD processes, responsible innovation, crowdfunding, and social entrepreneurship. Recent work explores gender leadership impacts on innovation and failure normalization mechanisms. Awards & Recognition: AOM Best Reviewer Award (2023) Paul R. Lawrence Fellowship (2024) Most Promising Junior Scholar (VSSER 2023) Inclusive Sussex Award (2024) Teaching & Service: Teaches Strategic Management, Innovation Management, and AI Policies. Serves on BAM Entrepreneurship Division committee and ESRC Peer Review College. Advises on Postgraduate Supervision through Education and Innovation Fund grants.

Calvin Masilelaمشاهده پروفایل

استاد

• Globalization/Smart City Development
• African Development
• Green Infrastructure Planning
• +۶ مورد دیگر

Calvin Masilela is a Professor in the Department of Anthropology, Geospatial and Earth Sciences at Indiana University of Pennsylvania (IUP), housed within the Kopchick College of Natural Sciences and Mathematics. He holds a PhD in Environmental Design and Planning from Virginia Tech, along with advanced degrees from the University of Westminster in London. His academic roles include Director of Upward Bound Math and Science (2007–2023) and former Director of the BS Regional Planning Program (2013–2021) and McNair Scholars Program (2004–2013). His research focuses on globalization and smart city development, African urbanization, sustainable infrastructure, and land reform. Notable contributions include analyses of climate resiliency in megacities, urban agriculture systems, and Zimbabwe’s land redistribution policies. He has authored/co-authored over 30 peer-reviewed publications across journals like African Geographical Review and Planning and Environment B . Masilela has received prestigious awards such as the 2021 IUP Certificate of Appreciation and 2018 Outstanding Researcher award. His grants total over $6 million, including leadership roles in federal programs like the Ronald E. McNair Post-Baccalaureate Achievement Program and Upward Bound initiatives. His work bridges academic research with community development, emphasizing participatory planning methods and global south development challenges. He teaches courses on global cities, urban policy, African geography, and research methodologies. His professional service includes editorial roles and contributions to international development projects like the USIA-funded Higher Education Capacity Building initiative in Southern Africa.

Nikitas Karanikolasمشاهده پروفایل

استاد

• Natural Language Processing and Understanding
• Computational Linguistics
• Computational Phonology
• +۷ مورد دیگر

Nikitas Karanikolas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica since March 2018, following a distinguished career progression from Assistant Professor (2004) to Associate Professor (2010) and Professor (2014) at the Technological Educational Institute of Athens. His professional trajectory includes significant roles as Systems Head of TEI Athens Library (1996-1997) and Chief of Informatics at Aretaieio University Hospital (1997-2004), alongside leadership positions in the Greek Computer Society as Board Member (2004-2006) and Secretary General (2006-2008). His academic foundation includes: Bachelor's in Statistics and Informatics from Athens University of Economics and Business (1988) PhD in Applied Informatics from Athens University of Economics and Business (1994) with thesis "Technological and Linguistic approaches in Natural Language Understanding" Dr. Karanikolas maintains an exceptionally broad research portfolio spanning Natural Language Processing , Computational Linguistics , Medical Informatics , and Green Energy systems. His work consistently bridges theoretical computational frameworks with practical healthcare applications, particularly evident in recent dementia care technologies and Greek language processing systems. The interdisciplinary nature of his research connects computational phonology with medical diagnostics and e-government applications. Analysis of his 15 most recent publications reveals a pronounced shift toward AI-driven healthcare solutions (particularly dementia patient monitoring), multilingual NLP systems (Greek and Polish), and urban safety applications . His work demonstrates consistent methodology development in ontological representations and multimodal fusion techniques, with increasing emphasis on real-world clinical and governmental implementations since 2023. No scientific awards were documented in the source materials. With 16 journal papers, 68 conference publications, and six authoritative Greek university textbooks, Dr. Karanikolas maintains an active research trajectory. His advising capacity is evidenced through extensive publication mentorship, particularly in medical informatics and NLP projects. While specific grant details are unavailable, his hospital information system implementations and textbook authorship suggest successful research funding acquisition. Current research activities focus on multimodal aggression prediction systems for dementia care, Greek language ontological frameworks, and urban navigation safety applications, primarily conducted through the University of West Attica's informatics infrastructure.

• Older people with mental health needs
• Prehospital care
• Emergency care
• +۶ مورد دیگر

Dr. Deborah Goode is a Senior Lecturer in Nursing at Ulster University and serves as the Associate Head of School of Nursing within the School of Nursing and Paramedic Science, Faculty of Life & Health Sciences. She is an intensive & critical care nurse with extensive experience in both clinical practice and academic leadership. Ulster University, Belfast campus (Room BC-04-174, 2-24 York Street, Belfast, BT15 1AP) Magee Campus, Northlands Road, Londonderry, BT48 7JL Her research interests focus on older people with mental health needs, prehospital and emergency care, critical care nursing, nurse education, social media and digital learning applications in healthcare education, person centredness, and end of life care. Dr. Goode has developed expertise in digital health interventions, particularly in dementia care through projects like the InspireD reminiscence app. Her recent publications demonstrate a strong focus on emergency care for older adults with mental health needs, digital health interventions for dementia care, and innovative approaches to nursing education. She has made significant contributions to understanding how social media can be leveraged as a learning tool in healthcare education. Highly Commended, Mobile App of the Year for Inspired Dementia Reminiscence App (2021) Marcia Mackie Scholarship (2016) Marthan McMenamin Scholarship (2016) Ulster Institute of Nursing Research Fellowship (2009) Dr. Goode serves as Academic Lead for post registration business and is the Athena Swan Chair for Nursing. She has supervised numerous PhD students including Olivia Briggs, Mary Dunnion, Diane Lyttle, Lorraine McAteer, and Joanne McConville. She is actively involved in multiple research projects, most notably the 6-year project 'Developing and testing the InspireD reminiscence app as a stand-alone support for people living with dementia and their families' (2019-2025) where she serves as a Co-Investigator. Her external roles include serving as an External Examiner for the Universities of Manchester and Swansea, and participation in various steering groups including the Critical Care Nursing Career Pathway Steering Group and the Nursing and Midwifery Task Group. Dr. Goode holds a PhD from Ulster University on 'a study of attendance trends and care experiences of older people with mental health needs in Emergency Medical Service settings' (awarded July 2019), an MSc in Nursing from Queen's University Belfast, and additional qualifications including a Post Graduate Specialist Certificate in ICU and PGDip in Nurse Education from Ulster University. She is a Senior Fellow of the Higher Education Academy, CHERP Fellow, and Associate member of the Association for Learning Technology.

Cristiana Bolchiniمشاهده پروفایل

استاد

• Dependability
• Fault Tolerance
• Reliability Analysis
• +۸ مورد دیگر

Cristiana Bolchini is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. She holds a PhD in Automation and Computer Science Engineering (1997) and a Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Her research focuses on dependable systems, fault tolerance, and embedded systems design, with recent work on ICT solutions for smart buildings and energy efficiency. She coordinates projects such as the FP7 SAVE initiative and serves on technical committees for conferences like DATE and DAC. Education: PhD in Automation & Computer Science (1997), Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Research interests span dependability (fault modeling, diagnosis), heterogeneous architectures, and sustainable smart environments. She collaborates with Prof. Giuliana Iannaccone on foresight for sustainable built environments and has led EU-funded projects like the SAVE initiative. Publications include over 150 refereed papers on dependability and context-awareness. She holds editorial roles for journals such as IEEE Transactions on Computer-Aided Design and ACM Transactions on Embedded Computing Systems. Awards include IEEE Senior Member status and two Cisco University Research Program Fund gifts (2012, 2014). Academic roles include Rector’s delegate for Southeast Asia relations and leadership of Technology Foresight workgroups. She teaches courses on computer science fundamentals and dependable systems, emphasizing problem-solving and programming in Python and C.

• Biomedical Signal Processing
• Fetal Monitoring
• Maternal-Fetal Medicine
• +۳ مورد دیگر

Prof. SG (Guid) Oei is a full-time faculty member at the Eindhoven University of Technology (TU/e) in the Biomedical Diagnostics Lab under the Department of Electrical Engineering. He serves as a leading academic in the Eindhoven MedTech Innovation Center and the Center for Care & Cure Technology Eindhoven , focusing on advanced signal processing systems for maternal-fetal health diagnostics. Primary Affiliation: Professor , Electrical Engineering, TU/e Research Centers: Eindhoven MedTech Innovation Center, Biomedical Diagnostics Lab, Center for Care & Cure Technology Eindhoven Research Focus : Developing non-invasive fetal monitoring technologies, including electrohysterography and speckle tracking echocardiography , to improve detection of fetal distress, preterm birth prediction, and maternal-fetal health outcomes. His work bridges biomedical diagnostics with machine learning, emphasizing real-time clinical applications. Scientific Contributions : Over 288 research outputs with 4568 citations, including pioneering studies on: Fetal myocardial deformation analysis AI-enhanced cardiotocogram interpretation Extra-uterine life support system design Impact of maternal mental health on labor outcomes Optimization of uterine monitoring techniques Collaborative Networks : Works with key researchers like Jan WM Bergmans (NeuroPlatform), Massimo Mischi (Biomedical Diagnostics), and Judith OEH van Laar on projects spanning prenatal diagnostics, maternal-fetal coupling, and simulation-based obstetric training.

• Biomedical Engineering
• Fetal Monitoring
• Signal Processing
• +۳ مورد دیگر

Judith OEH van Laar is an Assistant Professor in the Signal Processing Systems group at Eindhoven University of Technology (TU/e) and a gynecologist at Máxima Medical Center. Her research focuses on technological advancements for maternal and fetal health, including fetal monitoring systems and congenital defect detection. She holds a Master's in Medicine from Radboud University (2004) and a PhD from TU/e (2012) on fetal autonomic responses during pregnancy. She completed gynecology specialization at Máxima Medical Center (2014). Research interests include fetal electrocardiography, heart rate variability, and cardiotocogram analysis. She leads projects like HASTA (Healthy Ageing Starts with a HealThy stArt) and contributes to MEDEIA (MEDical Engineering Innovations and Applications). Recent work involves AI-driven fetal health assessment and maternal physiological monitoring. Key collaborations span biomedical engineering and clinical medicine.

Muhammad Basirمشاهده پروفایل

پژوهشگر

• Digitalization
• E-Learning
• Technology Implementation
• +۳ مورد دیگر

Dr. Muhammad Basir is a Researcher in the Department of Mechanical Engineering at the University of Bath, affiliated with The Foundry: Centre for Digital, Manufacturing & Design. He holds a Doctor of Philosophy in Business Informatics from the University of Reading (Awarded April 2023). His research focuses on digitalization, e-learning, and technology implementation in manufacturing and education sectors. Key research interests include semantic technologies, e-learning barriers, device preferences in education, and factors influencing technology adoption. He contributed to the Made Smarter Innovation: People-Led Digitalisation Engagement and Impact Acceleration project, funded by the Engineering and Physical Sciences Research Council (EPSRC), exploring digitalization’s role in value creation and firm size considerations. His work spans peer-reviewed articles on semantic technologies, e-learning quality, and device preferences. Recent publications (2021–2024) highlight themes like digitalization in manufacturing, e-learning implementation barriers, and technology adoption in regulated sectors. Collaborations include institutions like NUST Islamabad and projects involving nuclear decommissioning and transdisciplinary engineering. Basir’s research bridges theoretical frameworks (e.g., Servqual model) with practical applications, emphasizing learner-centric and institution-led digital strategies. His findings inform policy and practice in educational technology and manufacturing innovation.

Michael E Daviesمشاهده پروفایل

استاد

• Computational Imaging
• Machine Learning
• Signal Processing
• +۲ مورد دیگر

Michael Davies is Professor and Director of Research at the University of Edinburgh's School of Engineering, holding the Jeffrey Collins Chair in Signal and Image Processing. He leads research in computational imaging, compressed sensing, and machine learning systems, with over £30M in research funding. Formerly head of the University Defence Research Collaboration (2013-2024). Research focuses on developing theoretical frameworks for machine imaging with limited ground truth data, data-driven computational sensing, and sensor fusion technologies. Current projects include the Centre for Doctoral Training in Sensing, Processing, and AI for Defence and Security (SPADS). Awards include: EURASIP Group Technical Award (2025) IET Achievement Medal (2024) Fellowships of RSE, RAEng, EURASIP and IEEE

• Immersive Media
• Extended Reality (XR)
• Virtual Reality (VR)
• +۶ مورد دیگر

Prof. Jan-Niklas Voigt-Antons is a Professor of Applied Computer Science specializing in Immersive Media at Hamm-Lippstadt University of Applied Sciences. His work focuses on Extended Reality (XR), Virtual Reality (VR), Augmented Reality (AR), and their applications in healthcare, education, and human-machine interaction. He holds a Dr.-Ing (Engineering Doctorate) and has extensive industry experience with organizations like Daimler AG, Telekom Innovation Laboratories, and the German Research Center for Artificial Intelligence (DFKI). Research interests include user experience (UX) design, emotion analysis in virtual environments, and accessibility for aging populations. He has led projects on wearable health tech, AR/VR usability, and immersive training systems. Notable areas of impact include developing guidelines for inclusive XR interfaces and advancing telemedicine through immersive technologies. Prof. Voigt-Antons has collaborated with Charité – Universitätsmedizin Berlin on healthcare applications and has contributed to standardization efforts in telecommunications. His technical competencies include agile project management, statistical analysis, and mobile application development for iOS/Android. He advises on UX evaluations, usability testing, and physiological data analysis for industry partners. Key achievements include creating the Story Time Dataset for video quality research and developing the ColorTable system for flavor perception studies. His work emphasizes real-world deployment, with projects addressing mobility challenges for seniors in rural areas and improving dementia care through tablet-based interventions.

Evangelia Georgia Kostakiمشاهده پروفایل

مدرس

• Epidemiology
• Molecular Epidemiology
• HIV/AIDS Research
• +۷ مورد دیگر

Evangelia Georgia Kostaki is a Biostatistician and Epidemiologist serving as a Lecturer in the Department of Hygiene, Epidemiology, and Medical Statistics at the School of Medicine, National and Kapodistrian University of Athens (NKUA). She holds a PhD in Molecular Epidemiology from NKUA and has extensive teaching experience in medical statistics, epidemiology, and public health at the undergraduate and postgraduate levels. Her research focuses on molecular epidemiology of infectious diseases (HIV, HCV, HBV, and SARS-CoV-2), with emphasis on public health applications such as outbreak response and transmission network analysis. Education: Bachelor’s degree (NKUA) MSc in Biostatistics (NKUA) PhD in Molecular Epidemiology (NKUA) Research interests include HIV transmission dynamics, antiretroviral resistance surveillance, and pandemic response strategies. She has contributed to over 50 peer-reviewed articles and 2 book chapters, with active participation in global initiatives like the European AIDS Clinical Society (EACS) YING network and the Greek National Action Plan for HIV. Notable achievements include a New Investigator Scholarship (NSRF 2014-2020) and over 160 conference presentations internationally. Advisory roles include supervising 25+ MSc theses and supporting PhD candidates. Grants include co-investigator roles in national/international projects. She actively contributes to scientific societies, editorial boards, and guideline development for HIV testing protocols in Europe. Labs/Teams: Collaborates with the European Virus Bioinformatics Center (EVBC) and global networks addressing HIV and viral hepatitis epidemiology.