جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Educational Technology
• Collaborative Systems
• +۶ مورد دیگر

Ana I. Molina is a Full Professor at the University of Castilla-La Mancha since February 2024, specializing in Information Technologies and Systems. She holds a PhD in Computer Engineering (2007) and a Computer Engineering degree (2002) from the same university, along with a Psychology degree (2019) from the National University of Distance Education (UNED, Spain). PhD in Computer Engineering (2007) Computer Engineering degree (2002) Psychology degree (2019) Her research focuses on Human-Computer Interaction , Educational Technology , and Collaborative Systems , with a strong emphasis on Eye Tracking and Usability . Recent work explores Augmented Reality and Mobile Applications for Autism Spectrum Disorder (ASD) and physical rehabilitation. She has contributed to frameworks like MultiTEA for ASD applications and Learn-CIAM for collaborative learning tools. Her publications (15 most recent) span journals like Multimedia Tools and Applications , Journal of Systems and Software , and Universal Access in the Information Society . Topics include Algorithmic Learning , Gender Bias in Computing , and Medical Gamification . While no formal awards are listed, her extensive peer review activity (Applied Sciences, Brain Sciences, Sensors) highlights her academic engagement.

• Computer Science
• Collaborative Learning
• Human-Computer Interaction
• +۶ مورد دیگر

Manuel Ortega is a Full Professor at the Department of Information Technologies and Systems , Universidad de Castilla-La Mancha , Spain. His career spans over three decades, with a focus on Human-Computer Interaction (HCI) , Collaborative Learning , and Algorithmic Thinking . Education : Bachelor (1982), Master (1983), and Ph.D. (1990) in Physical Chemistry from the Autonomous University of Barcelona . Research Interests : CSCL (Computer-Supported Collaborative Learning) CSCW (Computer-Supported Cooperative Work) Eye Tracking for Usability Analysis Algorithm Visualization Groupware Systems Mobile and Immersive Learning Article Trends : His recent work explores collaborative mobile applications , AR for education , and microgrid energy systems , reflecting interdisciplinary interests bridging computer science , education , and sustainable energy . Teaching & Collaboration : He co-developed tools like COLLECE-2.0 (collaborative Eclipse programming), CodES (algorithmic visualization), and Excursiona (nature excursions). He has collaborated extensively with researchers like Ana Isabel Molina Díaz and César Collazos.

Josie Tombrellaمشاهده پروفایل

استادیار

• Gerontological Nursing
• Dementia Care
• Home-Based Care
• +۲ مورد دیگر

Josie Tombrella serves as Assistant Professor and AGPCNP Track Coordinator for the Graduate Program at the University of Texas Medical Branch (UTMB) School of Nursing, with additional responsibilities as HEC Liaison for SON Graduate Studies and the MSN Program. Her academic work focuses on gerontological nursing practice and education, supported by her clinical certification and teaching credentials. Her educational qualifications include: DNP (Doctor of Nursing Practice) from University of Alabama at Birmingham MSN (Gerontological Nurse Practitioner) from UTMB BSN from UTMB Research centers on geriatric care innovation, particularly dementia management in long-term facilities, home-based care coordination, and modern clinical evaluation methods for nurse practitioners. Her work bridges clinical practice with educational technology, emphasizing person-centered approaches for aging populations and virtual assessment techniques. Recent publications (2021-2025) reveal strong focus on geriatric care systems, with emerging trends in digital clinical evaluation tools and home-based care models. These works consistently address practical implementation of evidence-based practices for elderly patients across care settings. Professional recognition includes: SIGMA 2022 Nursing Showcase of Excellence Outstanding Poster Award American Association of Colleges of Nursing Transform Conference Honorable Mention (2021) Sigma Theta Tau Nursing Honor Society induction (2004) In her role as AGPCNP Track Coordinator, Tombrella shapes curriculum development and clinical training standards for adult-gerontology practitioners. Her Online Teaching Certificate from UTMB's MultiMedia Lab demonstrates commitment to educational innovation in nursing pedagogy.

• Computer Science Education
• Programming Languages
• Educational Technology
• +۴ مورد دیگر

Teemu Sirkiä is a Visiting Professor at Aalto University's School of Science , Department of Computer Science, since January 2015. He specializes in Computer Science Education , Educational Technology , and Program Visualization . Research Interests include interactive learning content, SQL/Python/Java programming education, adaptive systems, and smart learning tools. His work focuses on creating educational technologies like Jsvee and Kelmu for program animation, improving engagement through interactive textbooks (Acos server), and analyzing programming misconceptions. Scientific Contributions span 15+ years, with recent work (2020-2022) on SQL programming examples, educational datasets, and Python learning systems. His publications address topics like remedial recommendations, interoperability, and eye-tracking studies in programming education. Awards : Aalto High 5 Award for Education (2015) for developing Aalto's first MOOC Collaborations include Research Professor Lauri Malmi, Peter Brusilovsky (adaptive learning), and Kerttu Pollari-Malmi (computing education). He contributes to ACM conferences like ITiCSE, UMAP, and SIGCSE.

• Artificial Intelligence
• Game and Play Studies
• Game Technology
• +۶ مورد دیگر

Johannes Pfau is an Assistant Professor at Utrecht University, specializing in the intersection of video games, artificial intelligence, analytics, and data science. He is part of the Interaction/Multimedia group within the Information and Computing Sciences department. His academic journey includes a Doctor of Engineering degree (Computer Science) from the University of Bremen and a Master of Science degree in Cognitive Science from Osnabrück University. Pfau's research focuses on applying AI and data science techniques to video games, with particular emphasis on Deep Player Behavior Modeling (DPBM), player-driven analytics, and the psychology of play. His work often involves direct collaboration with the gaming industry to implement and evaluate innovations. He runs Wingman, the largest endgame analytics platform for Guild Wars 2, which has sparked numerous tools and studies based on behavioral data and close engagement with player communities. His research spans multiple domains including game analytics, player behavior modeling, applied games, and the psychology of play. Analysis of his recent publications shows a strong trend toward player-centered approaches to game design and analytics, with increasing focus on cultural dimensions of gaming, player performance optimization, and the application of advanced data mining techniques to understand complex player behaviors across diverse game genres. Best Paper Finalist: Dungeons & Replicants: Automated Game Balancing via Deep Player Behavior Modeling Honorable Mention: Player-Driven Game Analytics: The Case of Guild Wars 2 Best Paper: A Data-Driven Design of AR Alternate Reality Games to Measure Resilience Student Game Competition Runner-Up: The Reversed Turing Test Pfau has advised multiple PhD students including Zhaoqing "Jimmy" Teng, Ioannis Bikas, and Sai Siddartha Maram. His teaching portfolio includes developing and teaching the full course "AI-Driven Content Generation" at Utrecht University (2024-25), as well as contributing to courses on Gamification and Applied Games, Scientific Methods for Computing Science, and guest lecturing at UC Santa Cruz and University of Bremen. His industry collaborations span major game companies including ArenaNet (Guild Wars 2), NCSoft (Aion, Lineage II), Daedalic Entertainment, and Riot Games (League of Legends).

• Human-Centered AI
• Speech Processing
• Multimodal Fusion
• +۳ مورد دیگر

Dr Andrew Abel is a Lecturer at the Department of Computer and Information Sciences, University of Strathclyde, specializing in Human-Centered AI technologies that enhance educational inclusion and accessibility. His work bridges artificial intelligence with multimodal signal processing to address real-world challenges in speech perception and human-computer interaction. Education : PhD in Computer Science (Speech Processing), University of Stirling (2007-2012) Research Focus : Dr Abel leads the Human-centred AI Technologies for Inclusion in Education and Society project (2023-2027), focusing on AI-driven educational accessibility. He also contributed to AV-COGHEAR (2016-2019), developing cognitively-inspired hearing aid technologies that combine audio-visual inputs for speech enhancement. Publications span affective computing, speech reconstruction, multimodal fusion, and educational technologies. Recent works include valence-arousal prediction systems, lightweight lip-to-speech models, and automated programming assessment frameworks. Awards : Strathclyde Chancellor's Fellowship Collaborations : Dr Abel collaborates across biomedical engineering and computer science domains, with emphasis on explainable AI and sustainable educational technologies aligned with UN SDG4 (Quality Education).

• Eye Tracking
• Medical Education
• Visual Expertise
• +۵ مورد دیگر

Dr. Ellen Kok is an Assistant Professor at the Department of Education within the Faculty of Social and Behavioural Sciences at Utrecht University . Her research focuses on learning complex visual tasks with a specialization in eye-tracking methodology applied to medical education and radiology training . She investigates the use of gaze displays for teaching and learning, including applications like Eye Movement Modelling Examples (EMME) and feedback systems for medical image interpretation . Her research spans three key areas: (1) Using teacher gaze displays to support student attention and strategy learning, (2) Implementing student gaze displays for teacher adaptation, and (3) Developing gaze-based feedback mechanisms for self-monitoring. This work is grounded in example-based learning and cognitive load theory . She also studies expertise development in visual diagnostic tasks through one-to-one supervision and master-apprentice learning contexts. Current research trends show strong focus on gaze-based instructional systems (2020-2024), with keywords spanning Medical Education , Radiology , Cognitive Load , and Educational Technology . Sub-fields include diagnostic reasoning , visual attention modeling , feedback systems , radiology workflow , neural correlates of expertise , and medical image analysis .

Kathryn Murphy-Judyمشاهده پروفایل

استاد

• Computer Assisted Language Learning (CALL)
• Online Language Learning (OLL)
• Open Educational Resources (OER)
• +۴ مورد دیگر

Kathryn Murphy-Judy serves as Professor of French in the School of World Studies at Virginia Commonwealth University, where she instructs all levels of French language and Francophone media courses. With continuous service since 1994, she has held significant leadership roles including Director of the Liberal Studies for Early and Elementary Education program (1994-2021) and currently contributes to statewide initiatives through Global Virginia. Her educational foundation includes a Ph.D. in French from the University of Minnesota (1986), complemented by M.A. and B.A. degrees from Colorado State University. These credentials established her expertise in medieval literary studies before her pivot toward language pedagogy and technology integration. Ph.D., University of Minnesota, 1986 M.A., Colorado State University B.A., Colorado State University Dr. Murphy-Judy's research centers on the dynamic interplay between language, technology, and culture in meaning-making processes. She pioneers methodologies for transitioning learners from zero proficiency to culturally appropriate communication, with specialized expertise in computer-assisted language learning (CALL), online language learning (OLL), and open educational resource (OER) development. Her work bridges historical semiotic analysis with contemporary digital literacy challenges. Her extensive publication record reveals consistent focus on technology-enhanced language instruction, with recent emphasis on post-pandemic pedagogical adaptation. Current scholarship demonstrates strategic integration of student-driven OER development within curricula, emphasizing blended learning models that maintain social and cognitive presence in virtual environments. This trajectory reflects her commitment to accessible, innovative language education responsive to technological evolution. Recognition of her contributions includes prestigious awards: CHS Award for service CHS Award for mentoring FLAVA Distinguished Service Award Dr. Murphy-Judy has secured substantial grant funding including a current VIVA grant for collaborative OER e-textbook development across Virginia institutions. Her mentorship extends through formal student collaborations on R.E.A.L. projects and leadership in professional organizations where she shapes national teaching standards. She maintains active curriculum development through the L'Atelier RÉEL OER initiative. Professional engagement spans CALICO (Secretary), FLAVA (Treasurer), ACTFL (DL SIG chair), and founding membership in Global Virginia. Her work integrates with VCU's Recruitment Inclusive Champions and Grace E. Harris Leadership Institute initiatives, demonstrating commitment to educational equity and institutional advancement.

Xin Yangمشاهده پروفایل

استادیار

• Machine Learning
• Deep Learning
• Neuroimaging Data Analysis
• +۸ مورد دیگر

Dr. Xin Yang is an Assistant Professor in the Department of Computer Science at Middle Tennessee State University (MTSU) . With a focus on Machine Learning , Deep Learning , and Neuroimaging Data Analysis , he bridges computational methods with biomedical applications. His teaching responsibilities include CSCI-2170 Computer Science II , CSCI-3080 Discrete Structures , and CSCI-4410 Web Technologies . PhD, MTSU (2016) MS, MTSU (2014) ME, North China University of Technology (2012) BE, Qingdao University (2008) Dr. Yang’s research explores Autism Spectrum Disorder (ASD) classification using functional MRI data, image fusion techniques (visible and infrared), and imbalanced data handling . His work applies methods like Group ICA , Dictionary Learning , and Spearman’s Rank Correlation to analyze brain networks. Recent publications span 2024 to 2010 , with a focus on ASD classification , fMRI analysis , and image processing . Trends include convolutional neural networks , adversarial defense , and signal processing for biometric applications. USDA grant ($181,819, Co-PI, 2023) MT-IGO award ($10,000, PI, 2022) MTSU URECA and CBAS Scholar Week awards NSF EPSCoR and REU Site grants He mentors students in machine learning research and software development , including projects like Dijkstra’s algorithm for pathfinding and web-based calculators . His lab emphasizes hands-on AI applications and interdisciplinary collaboration in healthcare and data science.

• Cognitive Psychology
• Educational Technology
• Human-Computer Interaction
• +۵ مورد دیگر

Maria Wirzberger is an Assistant Professor at the University of Stuttgart, specializing in Teaching and Learning with Intelligent Systems (LLiS). She serves as Spokesperson of the Stuttgart Research Focus IRIS and Co-Director of the AI Software Academy, focusing on adaptive teaching systems, cognitive modeling, and human-AI interaction. Her work bridges cognitive psychology, educational technology, and human-computer interaction, with a strong emphasis on self-regulation and attention control. Research Interests: Modeling human cognition, statistical analysis of behavioral data, distraction/interruption handling in digital environments, development of AI-driven educational tools, multimodal cognitive load assessment, and trust in AI systems. Scientific Contributions: 15 recent articles explore topics like AI feedback mechanisms for focus, emotion-performance dynamics in tutoring systems, sustainable behavior cognition, and neuroergonomic approaches to workload analysis. Grants & Collaborations: Involved in projects like the AI Software Academy and interdisciplinary studies on sustainability personas and cognitive pathways. Labs & Teams: Affiliated with the Stuttgart Research Focus IRIS and University of Stuttgart's LLiS department.

• Science Education
• STEM Education
• Educational Technologies
• +۵ مورد دیگر

Marina Milner-Bolotin is a Professor at the University of British Columbia (UBC) Faculty of Education , specifically within the Department of Curriculum & Pedagogy . She has held faculty positions at UBC since 2009, previously serving at Ryerson University (2007-2009) and UBC Faculty of Science (2004-2007). Her research spans STEM education , educational technologies , physics pedagogy , and teacher professional development , with a focus on inquiry-based and technology-enhanced learning. Her work integrates science outreach through initiatives like the UBC Physics Olympics (20+ years) and the Family Math and Science Day (since 2010). She explores artificial intelligence in education, cross-cultural teacher development (e.g., Bangladesh, Nepal), and digital tools such as Phyphox and PhET simulations. Recent studies include analyzing adolescent wellbeing using PISA data and collaborative problem-solving metrics. She leads online graduate programs for science teachers and has presented at international venues like the Beijing Science Festival . Her research trends emphasize creative pedagogy , technology integration , and global partnerships to address equity in STEM. Despite no formal awards listed, her outreach and publications highlight her impact on teacher education and public science engagement.

Lakshmi Babu Saheerمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Sustainability
• Healthcare Innovation
• +۶ مورد دیگر

Lakshmi Babu Saheer is a Senior Lecturer at the Faculty of Science and Engineering, Anglia Ruskin University , specializing in Computing and Information Science . She leads the Computing, Informatics and Applications Research Group. Research Focus : Applications of AI in Climate Change, NetZero, Healthcare, Air Quality, IoT, and NLP Leadership : Director of research group, course leader for MSc AI programs Funding : Multiple EU grants including FP7, Hasler Innovation (150,000 CHF), ARU-QR funds Research Expertise spans: Climate Change Mitigation using AI Healthcare Innovations with IoT integration Computer Vision for environmental monitoring Speech & Audio Processing in affective computing Sustainable Food Supply Chains Deep Learning for public health compliance detection Scientific Recognition : Google Anita Borg Award recipient Hasler Innovation start-up funding VC-PhD funding at ARU Best Student Paper Award nomination Academic Contributions include: Supervision of 5 active PhD students and 1 completed PhD Editorial role at MDPI Sustainability Journal Reviewer for NIHR, IEEE, and Eurasip Teaching leadership in AI, Data Science, and Machine Learning

Daniel Mourlamمشاهده پروفایل

دانشیار

• Teacher Education
• Educational Technology
• Curriculum Development
• +۵ مورد دیگر

Daniel Mourlam is an Associate Professor at the University of South Dakota's School of Education , where he serves as Division Chair for Teacher Education. His work bridges educational technology , teacher development , and child well-being research. Education: EdD in Curriculum & Instruction (University of Northern Iowa, 2015), MEd in Curriculum & Instructional Technology (Iowa State University, 2011), BS in History (Iowa State University, 2006) Mourlam’s research focuses on digital technology integration in education , particularly through the TPACK framework , and its impact on teacher beliefs and student well-being . His recent studies examine how K-12 educators adapt to technology integration during crises like the pandemic and how young children engage with digital media compared to print formats. He has secured significant funding including grants from the National Science Foundation for K-16 STEM education initiatives and the South Dakota Community Foundation for LLM-assisted teacher satisfaction research . His professional recognition includes multiple Outstanding Paper Awards from SITE and the Judi Harris Research Into Practice Award for TPACK-related scholarship.

Nikos Laskarisمشاهده پروفایل

دانشیار

• BioSignal Analysis
• NeuroInformatics
• Computational Intelligence in Neuroscience
• +۴ مورد دیگر

Nikos Laskaris is an Associate Professor at the Department of Informatics, School of Informatics, Aristotle University of Thessaloniki. He received his PhD in Biomedical Signal Processing (1998), Master's in Medical Physics (1995), and Bachelor's in Physics (1993) from the University of Patras, Greece. His career spans postdoctoral research at RIKEN (1999-2003), associate researcher at Patras University (2003-2004), and faculty roles at Aristotle University since 2004. PhD: Computational Intelligence in Brain Signal Processing, University of Patras (1998) Master's: Medical Physics, University of Patras (1995) Bachelor's: Physics, University of Patras (1993) His research focuses on applying computational intelligence to neuroscience, particularly in Brain-Computer Interfaces (BCIs) , BioSignal Analysis , and NeuroInformatics . Recent work explores the integration of deep learning with Riemannian geometry, causal modeling, and wavelet scattering transforms for EEG interpretation. His publications (over 150 papers, 80+ in peer-reviewed journals) emphasize EEG decoding , motor imagery recognition , neuromarketing , and epilepsy anomaly detection . He founded the Neuroinformatics Group and contributed to EC-funded projects like H2020 MAMEM. Current projects include BINGO (Brain-Imagined Speech Communication) and MOTHER (Multimedia Authoring via Brain Interfaces), with a focus on VR/AR integration through the startup Cogitat during his 2021 sabbatical at Imperial College London.

Otthein Herzogمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Multi-Agent Systems
• Wearable Computing
• +۵ مورد دیگر

Prof. Dr. Otthein Herzog is a Research Professor at Universitaet Bremen (since 2009), Affiliate Research Professor at George Mason University (1998–2024), and Professor of Artificial Intelligence at Tongji University (2015– ). He leads the Artificial Intelligence Research Group and contributes to interdisciplinary clusters including LogDynamics Research Cluster for Dynamics in Logistics International Graduate School for Dynamics in Logistics CIUC - China Intelligent Urbanization Co-Creation Center His research focuses on Multi-agent systems for autonomous processes Knowledge acquisition with LLMs Mobile/wearable computing for logistics and AAL Image/video analysis for content-driven archiving Integration of deep learning with digital twins Urban planning with small language models Recent work explores sociotechnical modeling of cities through digital twins and AI-driven logistics. Scientific honors include 2024 Chinese Government Friendship Award Magnolia Silver Award (2021) Honorary Professor at Tongji University (2021) Fellow of acatech, GI, and CAE Key projects: EU WearIT@Work (2004–2009) DFG CRC on Autonomous Logistics (2004–2015) MTRC Mobile Technologies Research Center (2004–2010) He serves on boards of UNESCO IKCEST, Shanghai Research Institute for Intelligent Autonomous Systems, and Fraunhofer FIT.