جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Machine Learning
• Data Science
• +۴ مورد دیگر

Laura E. Brown is Associate Professor of Computer Science at Michigan Technological University, also serving as Associate Dean for Data Science Initiatives in the College of Computing and Director of the university’s M.S. and B.S. Data Science programs. She is a core member of the Institute of Computing and Cybersystems (ICC), the Ecosystem Science Center (ESC), and the Center for Agile Interconnected Microgrids (AIM). Education Ph.D., Biomedical Informatics — Vanderbilt University M.S., Biomedical Informatics — Vanderbilt University M.S.E., Electrical Engineering & Computer Science — University of Michigan B.S., Engineering — Swarthmore College Research Interests Laura’s scholarship spans artificial intelligence, machine learning, and data science, with theoretical advances tightly coupled to high-impact applications in energy systems (microgrids, power analytics), health and biomedical informatics, and computer science pedagogy. She is passionate about translating algorithmic innovations into real-world deployments that improve sustainability, clinical decision-making, and equitable education. A second major strand of her work centers on educational innovation: developing automated code-critiquing systems, studying their influence on student self-efficacy—especially for women in engineering—and leading campus-wide initiatives such as Carpentries workshops and ICPC programming competitions. Publication Trends Brown’s 2018–2025 publication record reveals sustained productivity in three overlapping domains: (1) AI/ML methodology—hardware prefetching, neural architectures, transfer learning; (2) energy analytics—forecasting coincident peak load, solar irradiance, battery degradation; and (3) computing education—automated feedback, gender studies, curriculum design. Recent emphasis has shifted toward educational technology, with multiple 2023–2025 papers on code critiquers and their psychological impact. Research Funding & Grants NSF Revolution through Evolution: $699 K, PI (2015–2019) DoD Distributed Agent-Based Management of Agile Microgrids: ~$1 M, co-PI (2013–2017) NSF Adaptive Memory Resource Management in a Data Center: $299 K, PI (2014–2017) NSF Microdevice for Rapid Blood Typing without Reagents: $300 K, co-PI (2016–2019) Google Explore CS Research Workshops: $18 K PI / $35 K co-PI (2018–2020) Student Engagement & Leadership Laura co-advises Women in Computing Science (WiCS) , organizes Michigan Tech’s ICPC regional site, and has led Google-sponsored undergraduate research workshops, Summer Youth Programs, and multiple Carpentries training events.

Radu Calinescuمشاهده پروفایل

استاد

• Formal methods
• Adaptive systems
• Autonomic computing
• +۶ مورد دیگر

Professor Radu Calinescu is a faculty member in the Department of Computer Science at the University of York. His research focuses on formal methods for adaptive, autonomic, and dependable IT systems, with applications in cloud computing and health informatics. He is affiliated with the High Integrity Systems research group. DPhil in Computation from University of Oxford Licence Diploma in Computer Science from Iasi, Romania His research interests span formal methods, automated software engineering, and their application to complex systems. Recent work includes architectural frameworks for self-adaptive systems, runtime verification techniques, and probabilistic modeling approaches. Current research projects include: BRAID: Ethical guidelines for medical AI CHEDDAR: Cloud computing communication hubs DOMINOS: Disruption mitigation in AI systems He has published extensively on topics including: Adaptive systems architecture Formal verification techniques Risk-aware decision-making Model-driven engineering Cloud computing reliability Health informatics safety

Morten Haahr Kristensenمشاهده پروفایل

پژوهشگر ارشد

• Software Engineering
• Robotics
• Autonomous Systems
• +۲ مورد دیگر

Morten Haahr Kristensen is a Research Fellow at the Department of Electrical and Computer Engineering at Aarhus University, Denmark. His work focuses on software engineering and computing systems, particularly in the domains of robotics, autonomous systems, and digital twins. Primary Affiliation: Department of Electrical and Computer Engineering, Aarhus University Other Affiliation: Software Engineering & Computing Systems group Research Interests: Morten investigates formal architectural patterns for adaptive robotic software and runtime verification of autonomous systems. His projects include safety analysis of self-adaptive robot behavior using digital twin technology. He contributes to trustworthy software systems through tutorial lectures and collaborative research. Selected projects: Determining the Limits of Self-Adaptive Behaviour of Robots from a Safety Perspective (2024-2027) Publications: Recent works include contributions to conferences like FASE 2025 and IEEE ACSOS-C 2024, focusing on digital twin implementations and formal verification in robotic systems.

Stefano Scanzioمشاهده پروفایل

پژوهشگر

• Industrial Communication Systems
• Wireless Networks
• Real-Time Networks
• +۷ مورد دیگر

Stefano Scanzio is a Senior Researcher at the National Research Council of Italy (CNR-IEIIT) and teaches computer science courses at Politecnico di Torino . With over 60 publications in wireless networks, real-time communication, and industrial IoT, he serves as Associate Editor for Ad Hoc Networks , IEEE Access , and Electronics journals. Ph.D. in Computer Science (Politecnico di Torino, 2008) Laurea in Computer Science (Politecnico di Torino, 2004) His research focuses on industrial wireless networks , particularly Wi-Fi and IEEE 802.15.4 TSCH, with emphasis on: Energy-saving mechanisms in wireless sensor networks Predictive models for Wi-Fi channel quality Reliable communication through seamless redundancy Machine learning integration for network optimization Clock synchronization under non-Gaussian noise Recent publications analyze Wi-Fi 7's multi-link operation, executable QR codes for IoT, and AI-driven network self-configuration. His work has been recognized with multiple best paper awards .

• Machine Learning
• Neuroscience
• Medical Informatics
• +۳ مورد دیگر

Sebastian Niehaus is a Doctoral Researcher affiliated with the Max Planck Institute for Human Cognitive and Brain Sciences and TU Dresden. His work bridges Neuroscience and Machine Learning , focusing on Medical Informatics and Statistical Computing . He develops scalable AI applications for clinical workflows through standardized data harmonization pipelines.

Karsten Ulrik Nissمشاهده پروفایل

مدرس پاره‌وقت

• Health Informatics
• Telemedicine
• Medical Information Systems
• +۳ مورد دیگر

Karsten Ulrik Niss is a part-time lecturer at Aalborg University's Faculty of Medicine, specifically within the Department of Health Science and Technology and the Danish Centre for Health Informatics. His work focuses on healthcare IT systems, organizational development, and telemedicine implementation. Research Interests: Telehealth systems, EHR integration, medical imaging informatics, organizational change in healthcare Key Expertise: Stakeholder analysis, clinical workflow optimization, medical IT evaluation His research explores the intersection of technology and human factors in healthcare settings, particularly through network analysis of telehomecare systems and bottom-up organizational development approaches. Recent publications examine video consultations for specialized treatments and systemic impacts of PACS/RIS implementations. Notable contributions include the MIEMIS framework for medical information system evaluation and studies on EHR implementation challenges. His work spans both theoretical modeling and practical case studies across multiple medical domains.

• Computational Thinking
• Higher Education Research
• Human-Centered Computing
• +۳ مورد دیگر

Imke de Jong serves as a Junior Assistant Professor at Utrecht University's Faculty of Science within the Human-Centered Computing group of the Department of Information and Computing Sciences. She functions as both a teacher and program coordinator for the Information Science program while continuing her academic research. Her educational background isn't explicitly detailed in the provided materials, but her research trajectory shows progression from PhD work to faculty position at Utrecht University. De Jong's primary research interests center on Computational Thinking education in higher education contexts, with particular focus on assessment methodologies, self-efficacy measurement, and tailored instructional approaches. Her work spans both theoretical frameworks and practical classroom applications, examining how students develop and apply computational thinking skills across different educational settings. More recently, her research has expanded to include the impact of generative AI tools on programming education and competency modeling for information governance in public administration. Her publication record demonstrates consistent scholarly contribution to computing education research, with publications in prominent venues like the Koli Calling International Conference on Computing Education Research. Her work shows evolution from foundational research on Computational Thinking interventions to contemporary explorations of AI in education. While no specific awards are mentioned in the provided materials, her publications have garnered significant attention in the field, with several papers accumulating dozens of citations and reader captures according to the Plum Print metrics. As program coordinator for the Information Science program, De Jong plays an important role in curriculum development and educational leadership within her department. Her research directly informs her teaching practice, creating a synergy between her scholarly work and educational responsibilities.

Roger Azevedoمشاهده پروفایل

استاد

• Self-Regulated Learning
• Metacognition
• Cognitive Psychology
• +۱۲ مورد دیگر

Roger Azevedo is a Pegasus Professor and Director of the SMART Lab at the University of Central Florida’s School of Modeling Simulation and Training. He holds affiliated faculty appointments in the Departments of Computer Science and Internal Medicine, leading interdisciplinary research at the intersection of cognitive psychology, educational technology, and artificial intelligence. Ph.D. in Educational Psychology, McGill University Postdoctoral Fellowship in Cognitive Psychology, Carnegie Mellon University M.A. in Educational Technology, Concordia University B.A. in Psychology, Concordia University His research focuses on self-regulated learning , metacognition , and human-AI collaboration in advanced learning systems. He designs intelligent tutoring systems (e.g., MetaTutor), immersive virtual environments, and multimodal data frameworks to model cognitive, emotional, and motivational processes during learning. Current projects explore digital twins , pedagogical agents , and human-machine symbiosis across domains like healthcare and STEM education. Roger Azevedo has received accolades including the NSF Early Faculty Career Award , the AERA Barry J. Zimmerman Award , and recognition in the Top 2% of Researchers in PLOS Biology . His work is supported by grants from the NSF, NIH, IES, and international councils.

• Distributed Systems
• AI/ML Systems
• Databases
• +۷ مورد دیگر

Paolo Romano is a Senior Researcher at the Distributed Systems Group, INESC-ID, and an Associate Professor at the Department of Computer Engineering, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Portugal. He holds a PhD in Computer Engineering (2007) and has contributed extensively to research in distributed systems, transactional memory, and autonomic computing. PhD in Computer Engineering, Sapienza Rome University (2007) Master Degree in Computer Engineering, University of Rome Tor Vergata (2002), Summa Cum Laude Certificate of Advanced English, Cambridge University (1997) His research interests span: Dependable Distributed Systems: Fault-tolerance in multi-tier systems, formal verification of distributed protocols, and reliable AI systems. Parallel/Distributed/High-Performance Computing: Transactional memory, GPU programming, and efficient AI/ML systems. Autonomic Systems: Self-optimization of complex systems and adaptive concurrency control schemes. Performance Modeling: Machine-learning-based prediction for complex systems and QoS in cloud platforms. Scientific accolades include: Best Paper Award at ICAC 2014, ICDCS 2012, and NETYS 2013 Best Paper Awards at IEEE Symposium on NCA 2008 and 2007 Best INESC-ID Young Researcher (2011) Distinguished Member, INSTICC He has supervised numerous PhD and MSc students, including current advisees Maria Casimiro, Daniel Castro, and Shady Alaa. Former students include Shady Issa (PostDoc at INESC-ID), Nuno Diegues (Software Engineer at Feedzai), and Diego Didona (PostDoc at EPFL). His research is supported by projects like ARISTOS, Cloud-TM, and Euro-TM, with total funding exceeding 2.4 million euros. Paolo Romano is affiliated with the Distributed Systems Group at INESC-ID, a research laboratory associated with IST, Universidade Técnica de Lisboa.

• Physical Education
• Physical Activity
• Mental Health
• +۴ مورد دیگر

Dr. Padraic Rocliffe is a Researcher at the Physical Activity for Health Research Centre within the Faculty of Education & Health Sciences at the University of Limerick. His scholarly work focuses on physical education, physical activity interventions, and adolescent health outcomes, with particular expertise in systematic review methodology and measurement instrument validation. Dr. Rocliffe's research interests include: Physical Education curriculum development and teacher training Physical activity interventions for adolescent populations Mental health outcomes related to school-based physical activity Systematic reviews and meta-analyses in physical education research Emotional intelligence in pre-service physical education teachers National audit of physical education provision in secondary schools His recent scholarship demonstrates a methodological emphasis on systematic literature reviews examining how school-based physical education, physical activity, and sports programs impact adolescent mental and physical health. Notably, his 2024 systematic review on adolescent mental health and wellbeing has accumulated 19 citation indexes and 103 reader captures, indicating substantial scholarly impact. Dr. Rocliffe has also developed validated assessment tools, including a questionnaire for measuring physical activity behavior, health, and wellbeing in adolescents with demonstrated test-retest reliability. Dr. Rocliffe's scientific contributions reveal a clear research trajectory focused on evidence-based approaches to optimizing physical education and activity provision in secondary schools. His work spans from foundational measurement validation to comprehensive literature synthesis and national policy-relevant audits. His collaborative network includes prominent researchers such as Adamakis, Mannix-McNamara, MacDonncha, and Sherwin, with whom he has produced multiple high-impact systematic reviews. Current research directions include technology-assisted physical activity monitoring, specialized population interventions (particularly stroke rehabilitation), and concept mapping frameworks for program evaluation.

Ersen Yazıcıمشاهده پروفایل

استاد

• Mathematics Education
• STEM Education
• Problem-Solving Strategies
• +۳ مورد دیگر

Ersen Yazıcı is a Professor in the Department of Mathematics and Science Education at Aydın Adnan Menderes University's Faculty of Education. His career spans over two decades in mathematics education research, with a focus on teacher training, pedagogical strategies, and cognitive aspects of mathematical learning. Education: Bachelor's in Primary School Mathematics Teaching (2002), Selçuk University Master's in Primary School Mathematics Teaching (2004), Selçuk University PhD in Mathematics Education (2009), Selçuk University Yazıcı's research focuses on mathematics education , STEM integration , and pedagogical innovation . He has published extensively on flipped classroom models , problem-solving strategies , and cognitive development in pre-service teachers. Recent publications include studies on pattern generalization , modelling-based instruction , and gamification in mathematics education. His 2020 work on STEM product analysis and teaching strategies for intellectual disabilities demonstrates interdisciplinary and inclusive approaches. Yazıcı has participated in multiple academic activities including YÖKDİL (2017) and UDS (2009) language proficiency certifications, indicating international academic engagement.

• Educational Technologies
• Instructional Design
• Virtual Reality in Education
• +۵ مورد دیگر

Dr. Kadir Yücel KAYA serves as an Assistant Professor in the Department of Educational Sciences at Kastamonu University's Faculty of Education, Turkey, a position held since 2019 after progressing from Research Assistant roles at Kastamonu University (2017-2019) and Middle East Technical University (2009-2017). His academic trajectory spans multiple institutions and disciplines within educational technology. His educational background includes: PhD in Computer and Instructional Technologies Education, Middle East Technical University (2018) Bachelor's in Computer Education and Educational Technologies, Middle East Technical University (2009-2018) Bachelor's in Computer Education and Educational Technologies, Dokuz Eylül University (2005-2009) Bachelor's in Sociology (Open Education), Istanbul University (2020) KAYA's research centers on educational technology integration, with particular emphasis on immersive learning environments. His work explores virtual reality applications for climate change education, serious games for pedagogical enhancement, and artificial intelligence implementations in academic settings. He investigates motivational aspects of digital video creation and examines historical educational movements like Turkey's Village Institutes through technological lenses. Analysis of his 2021-2025 publications reveals a pronounced shift toward immersive technologies (VR/metaverse) in environmental education, alongside sustained focus on open educational resources and digital competence frameworks. His scholarship increasingly addresses climate change pedagogy through technological mediation while maintaining foundational work in programming education and MOOC ecosystems. While no major scientific awards are documented, KAYA actively contributes to academic service through TÜBİTAK-funded research on climate change-oriented virtual reality design (2024). He has taught diverse courses including Serious Games, Digital Competence, and AI Applications in Education, though he has not supervised graduate students to date. His collaborative network centers around S. Tısoğlu-Kaya and K. Çağıltay, with significant contributions to national instructional technology discourse. Current academic service includes Erasmus University Coordinator Assistant duties (2023-present) following previous Erasmus Faculty Coordinator responsibilities (2020-2023).

Roy Rosinمشاهده پروفایل

استاد پژوهش

• Health-care innovation
• Behavioral economics
• Digital health interventions
• +۷ مورد دیگر

Roy Rosin, MBA, is Board Partner at First Round Capital and served from 2012-2024 as Chief Innovation Officer at Penn Medicine and Senior Fellow at the Leonard Davis Institute of Health Economics, University of Pennsylvania. An innovation executive rather than a tenure-line academic, he nonetheless leads large NIH- and PCORI-funded research programs, has published >70 peer-reviewed articles since 2015, and teaches Wharton Executive Education courses on business-model innovation and health-care leadership. Education: MBA, Stanford Graduate School of Business AB, cum laude, Harvard College Research & Innovation Focus: Rosen’s work sits at the intersection of behavioral economics, digital health, and rapid-cycle implementation science. His team has designed, piloted, and scaled more than 150 technology-enabled care-delivery interventions that measurably reduce readmissions, emergency-department use, medication non-adherence, and clinician burden while increasing screening rates, patient engagement, and use of high-value care sites. Key methodological themes include text-message–based coaching, conversational AI agents, financial & social-incentive design, and workflow automation inside large health systems. Publication Trends: Across 50+ recent papers he consistently pursues patient-facing digital interventions—chatbots for oncology adherence, SMS programs for maternal health, automated triage tools, and incentive trials for distracted driving—demonstrating a cross-disciplinary portfolio spanning oncology, obstetrics, ophthalmology, dermatology, emergency medicine, and population-level behavioral prevention. Honours & Recognition: Becker’s “30 Great Chief Innovation Officers to Know” (2022) Three separate CHIBE papers named among the Top-20 Clinical Research Achievement Awards by the Clinical Research Forum (2025) Advising & Grant Leadership: Although individual PhD students are not listed, Rosin directs multi-million-dollar implementation trials (e.g., NIH “iSMART”, PCORI opioid-use disorder studies) collaborating with dozens of faculty, fellows, and data scientists across Penn’s medical school, engineering, and Wharton. He mentors start-up founders nationally and serves as executive-in-residence for Wharton’s Health Care Management program. Labs & Teams: As Penn Medicine’s inaugural CIO he built the “Innovation Accelerator,” an internal consultancy that applies design-thinking, Lean Start-up, and behavioral economics to clinical operations. The group includes data scientists, UX researchers, software engineers, and quality-improvement specialists who co-design interventions with frontline clinicians and patients; many projects transition into routine operations or spin out as commercial ventures.

• Context-oriented programming
• Software engineering
• Programming languages
• +۸ مورد دیگر

Kim Mens is a Professor at Université catholique de Louvain (UCLouvain), affiliated with the Louvain School of Engineering (EPL), the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), and specifically the Pôle en ingénierie informatique (INGI). His research spans multiple areas of computer science with a particular focus on context-oriented programming, software engineering, and programming education. Professor Mens' research interests center around context-oriented programming, software evolution, and programming education. His work explores how software systems can dynamically adapt to changing contexts, with applications in self-adaptive systems, feature-based programming, and context-aware applications. In programming education, he investigates how to improve student learning through better feedback mechanisms, pattern mining in student code, and explicit instructional strategies. His recent publications (2022-2025) demonstrate a strong focus on both theoretical and practical aspects of context-oriented systems. His work spans software testing for adaptive systems, program query languages, automated feedback for programming education, and context-aware programming frameworks. His research shows a clear progression from foundational work in context-oriented programming to practical applications in software engineering and education, with increasing integration of AI techniques like BERT for educational applications. Professor Mens actively collaborates with researchers across Europe, particularly in Belgium, the Netherlands, and other European countries. His work appears in top software engineering and programming conferences and journals, demonstrating the significance and impact of his contributions to the field. His current research trajectory suggests continued innovation at the intersection of programming languages, software engineering, and computer science education.

• information systems
• knowledge management
• open innovation
• +۷ مورد دیگر

Isabel Maria Pinto Ramos is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, University of Minho , where she leads the ISTTOS R&D Lab and contributes to the Algoritmi Research Centre . She has held leadership roles including Head of Department of Information Systems and President of the Portuguese Association for Information Systems . Her career spans academic, research, and international collaboration roles, including a Visiting International Professor position at the University of Münster, Germany. Academic Leadership : Doctoral Programme Director (2014-2019), IFIP TC8 Chair (2019-2023), Vice President for Membership Services at Association for Information Systems (2022-2025) Research Themes : Innovation management, knowledge systems, digital transformation, crowdsourcing, organizational memory, gender in STEM, and technology's socio-cultural impacts International Engagement : Collaborations with Carnegie-Mellon, University of Agder, Georgia State, and Federal University of Santa Catarina through research projects and mobilities Scientific Recognition : IFIP Outstanding Service Award (2009) IFIP Silver Core Award (2013) IIAKM Lifetime Academic Achievement (2021) Editorial Contributions : Associate Editor for Communications of the AIS (since 2020), editorial board member for Enterprise Information Systems , International Journal of Knowledge Engineering , and Revista de Administração Mackenzie Project Involvement : ERASMUS+, Horizon 2020, FP7 programs with focus on digital workplaces, knowledge management, and organizational resilience Her scientific output demonstrates consistent exploration at the intersection of Information Systems and Organizational Innovation , with recent works focusing on Digital Transformation (2021-2025), Crowdsourcing Platforms (2009-2016), and Organizational Memory (2005-2014). The 2023-2025 publications particularly emphasize Smart City Resilience , Multigenerational Workforce Challenges , and AI Development Democratization .