جست‌وجوی استاد و پژوهشگر

David Gray Widderمشاهده پروفایل

استادیار

• AI Ethics
• Political Economy of Technology
• Feminist Science and Technology Studies (STS)
• +۳ مورد دیگر

David Gray Widder is a Postdoctoral Fellow at Cornell Tech's Digital Life Initiative and will join the University of Texas at Austin School of Information as an Assistant Professor in December 2025. He studies how AI system creators conceptualize downstream harms, situated within broader political economy of technology and feminist STS frameworks. Education: PhD in Computer Science from Carnegie Mellon University Industry Experience: Former research roles at Intel Labs, Microsoft Research, NASA Jet Propulsion Laboratory His research bridges AI ethics with critical infrastructure studies , analyzing how cloud computing monopolies (Google, Microsoft, Amazon) shape technological futures through financial investments. Key publications include work in Nature , FAccT , and Big Data & Society , alongside influential reports in TechPolicy.Press and Data & Society . Recent articles focus on: Corporate capture of AI ecosystems through cloud market dominance Hypocrisy in ML research regarding social impact claims versus technical realities Open source AI as a counter-strategy to corporate control Scientific contributions include: Digital Life Initiative Fellowship at Cornell Tech Big Cloud research with Nathan Kim Algorithmic Collective Action workshop at NeurIPS He maintains a conceptual-realist art practice , advocates against police terror , and engages in distance running . Active in UT Austin AAUP labor organizing and queer AI advocacy networks.

Josefina García García-Cervigónمشاهده پروفایل

استاد

• Criminal Law
• Criminology
• Cybercrime
• +۵ مورد دیگر

Josefina García García-Cervigón is a full Professor of Law and Criminology at Universidad Camilo José Cela (UCJC) in Madrid, where she teaches within the Faculty of Humanities and Communication . She also continues to teach at UNED-associated centers in Madrid. She has been accredited as both Assistant and Associate Professor by ANECA and is a corresponding academic of the Royal Academy of Jurisprudence and Legislation of Madrid . Education: Law Degree – Universidad Complutense de Madrid (1988) University Specialist in Criminology – UCM (1999) PhD in Law – UNED (2000) Research Focus: Josefina’s research spans criminal law , criminology , cybercrime , gender violence , restorative justice , penal law , and criminal policy . Her work is particularly focused on the intersection of law, human rights, and social justice, with a strong emphasis on victim protection and legal innovation. Scientific Contributions: She has authored numerous peer-reviewed articles, book chapters, and monographs. Her recent work includes studies on restorative justice, gender-based violence, and the integration of digital tools in legal education. She has also co-authored books on postgraduate education and student motivation. Grants & Projects: Directed international projects for AECID (Spanish Agency for International Development Cooperation) Participated in research projects funded by the Ministry of Education (MEC) and the Community of Madrid Completed research stays in Italy and Belgium Academic Memberships: Member of the International Scientific Committee of the Revista de Ciencias Jurídicas (Costa Rica) Collaborator at the Gender Studies Center (UNED) Former member of the Spanish Society of Criminological Research (SEIC)

• Open and Distance Learning
• Social Sciences and Humanities
• Behavioral Sciences
• +۱۲ مورد دیگر

Lecturer Adalet Ömeroğlu is currently affiliated with Ataturk University as a member of the Applied Research Center Board and as a Curriculum Development Specialist at Turkey's Ministry of National Education, General Directorate of Secondary Education. Her academic work focuses on curriculum development, educational technology, and career counseling. Education : Doctorate in Educational Sciences (2021-present) from Ataturk University's Institute of Educational Sciences Her research spans Open and Distance Learning , Test and Measurement in Education , Human-Computer Interaction , and Teacher Training , with a particular emphasis on Curriculum Development and Artificial Intelligence in Education . She has contributed to studies on homework practices, self-efficacy scales, and eclectic career planning curricula, reflecting her interest in pedagogical innovation. Ömeroğlu actively participates in national and international educational workshops and has co-authored funded projects addressing remote learning assessment models and career-oriented educational initiatives . Her collaborative work with Ozan C. on teacher surveys and educational design demonstrates her commitment to improving instructional frameworks.

Angelos Konstantinidisمشاهده پروفایل

پژوهشگر

• Course Design
• Distance Education
• Feedback Literacy
• +۴ مورد دیگر

Angelos Konstantinidis is an Educational Advisor at the University of Groningen , affiliated with the Team Educational Design and Development (TEDD) and the Center for Information Technology . He serves as an Embedded Expert at the Faculty of Science and Engineering and the Faculty of Religion, Culture, and Society. Expert in course design, feedback literacy, and open pedagogies Active in Virtual Exchange and student well-being research Coordinator of #ONING (Education Innovation Network) His research focuses on educational innovation , blending pedagogical theory with technological implementation . Recent work examines AI ethics in education, self-regulated learning dashboards, and universal course design principles from top universities. His publications highlight student well-being and interactive feedback systems in digital learning environments. Key trends in his scholarship include technology-enhanced learning , inclusive educational design , and sustainability integration in curricula. He contributes to open education initiatives (OER) and has developed frameworks for distance learning pedagogy. Active in institutional education governance, Konstantinidis serves on the Board of Examiners for multiple programs and participates in the Education Festival Committee . He collaborates across disciplines to advance educational technology practices.

Anqi Liuمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Distributionally Robust Learning
• +۵ مورد دیگر

Anqi Liu (Angie) is an Assistant Professor in the Department of Computer Science at the Whiting School of Engineering, Johns Hopkins University. She is affiliated with the Data Science and AI Institute, Mathematical Institute for Data Science (MINDS), and Institute for Assured Autonomy (IAA). Her research focuses on developing principled machine learning algorithms for reliable, trustworthy, and human-compatible AI systems in high-stakes applications. PhD in Computer Science from University of Illinois Chicago Postdoctoral Research at Caltech's Department of Computing and Mathematical Sciences Her work emphasizes robustness to changing data environments, uncertainty quantification, and human-AI interaction. Key methodologies include distributionally robust learning, active learning, safe exploration, fair machine learning, and conformal prediction. Applications span healthcare (NIA/NIH-funded), robotics, and computational social science. Amazon Research Award Johns Hopkins + Amazon Initiative for AI Faculty Research Johns Hopkins Discovery Award Institute for Assured Autonomy Challenge Grant She advises PhD candidates in AI safety and fairness, with students co-advised by faculty in Human-Robot Interaction and Computational Linguistics. Collaborations include Center for Language and Speech Processing (CLSP) and Laboratory for Computational Sensing and Robotics (LCSR).

Efi Nisiforouمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Technology-Enhanced Learning (TEL)
• Instructional Design
• +۷ مورد دیگر

Efi Nisiforou is an Assistant Professor in Distance Education at the School of Education , University of Nicosia. Her work bridges human-computer interaction (HCI) , technology-enhanced learning (TEL) , and instructional design , with a focus on personalized learning , educational neuroscience , and integrating new technologies across educational levels. Education: PhD in Distance Education (Cyprus University of Technology, 2016) Master’s in Metacognition and Learning Styles (University of Manchester, 2009) Bachelor’s in Education (National and Kapodistrian University of Athens, 2008) Her research spans virtual/augmented reality , AI in education , digital literacy , and gamification , often analyzing cognitive abilities like field dependence-independence through eye tracking and EEG. Recent publications highlight global perspectives on ChatGPT adoption and open schooling frameworks. Scientific Achievements: Recipient of EU research funding Active in 10 projects (2017–2024), including DRONE (digital literacy training) and VRinHE (virtual reality integration) Over 23 research outputs with 8 h-index citations

Sioux McKennaمشاهده پروفایل

استاد

• Higher Education
• Doctoral Education
• Postgraduate Supervision
• +۳ مورد دیگر

Sioux McKenna is Professor of Higher Education Research at Rhodes University in South Africa. With over 25 years of academic leadership, she has served as Director of the Centre for Postgraduate Studies (2017-2024) and Higher Education Studies PhD Coordinator (2010-2018), following earlier roles at the University of KwaZulu-Natal and Durban University of Technology. PhD from Rhodes University (2004) MA in Linguistics from Stellenbosch University (1995) BA from University of KwaZulu-Natal (1988) Her research critically examines: Knowledge legitimation processes in academia Equity in postgraduate education Neoliberal transformations in universities Academic literacy development Doctoral supervision practices AI's impact on education Recent publications reveal consistent focus on neoliberalism in higher education (2022-2025) and generative AI implications (2024-2025), alongside longitudinal studies on doctoral education (2016-2024) and international collaboration dynamics (2020-2024). Scientific recognition includes: 2023: Book Award for 'Understanding higher education' 2023: NRF B rating for research excellence As architect of three national/international postgraduate development programs (2014-present), she has shaped: Supervision frameworks (NRF-funded) Writing group methodologies Collaborative doctoral education models Academic integrity policies Current projects include: Social Justice & Quality in Higher Education (British Council/DHET 2020-2024) Creating Postgraduate Collaborations (European Commission 2020-2024) Strengthening Postgraduate Supervision (DHET 2015-2017)

Neele Engelmannمشاهده پروفایل

پژوهشگر ارشد

• Moral Psychology
• Human-AI Interaction
• Causal Reasoning
• +۴ مورد دیگر

Neele Engelmann is a postdoctoral researcher at the Max Planck Institute for Human Development , working within the Center for Humans and Machines in Berlin, Germany. She obtained her Dr. rer. nat. in Psychology (2022), M.Sc. (2017), and B.Sc. (2014) from Georg-August-University Göttingen . Her research bridges psychology, philosophy, and law, focusing on causal and moral reasoning, human-AI interaction, and computational modeling. Ph.D. Psychology, Georg-August-University Göttingen (2022) M.Sc. Psychology, Georg-August-University Göttingen (2017) B.Sc. Psychology, Georg-August-University Göttingen (2014) Her research explores causal reasoning in moral judgment , including how statistical and prescriptive abnormality affect causal selection, and how drift diffusion models can explain rule enforcement processes. Recent studies examine human-AI interaction dynamics, particularly how framing (not transparency) reduces cheating in algorithmic delegation, and the computational modeling of moral decision-making in multi-outcome scenarios. Key publication trends include: moral psychology analyses of lying vs. misleading, experimental jurisprudence studies on legal-moral interface, and cognitive modeling of judgment mechanisms. She co-teaches statistics courses for psychology students using Excel and R, and has supervised numerous Bachelor's and Master's projects in causal/moral reasoning and experimental philosophy. Engelmann contributes to the Center for Humans and Machines , conducting interdisciplinary research that connects cognitive psychology with computational modeling and legal reasoning frameworks . Her work spans empirical investigations, theoretical modeling, and methodological innovations like hierarchical drift diffusion analysis.

• Machine Learning
• Computational Intelligence
• Data Mining
• +۵ مورد دیگر

María Dolores Pérez Godoy is a full-time Professor in the Department of Computer Science at the University of Jaén. She contributes to the Andalusian Interuniversity Institute for Data Science and Computational Intelligence and leads the Intelligent Systems and Data Mining research group. PhD in Computer Science (2010) - University of Jaén Thesis: Hybrid cooperative-competitive evolutionary methods for radial basis function networks Research Focus: Computational Intelligence, Time Series Forecasting, Data Mining, Evolutionary Algorithms, Neural Networks, and Big Data Applications. Her work bridges theoretical advancements in RBFN design with practical implementations in agriculture (olive oil price forecasting) and resource-constrained systems. Recent Article Trends: 2025 work addresses multilabel imbalance with diffusion models. 2024 contributions include tools like Nets4Learning platform, DESReg library, and data governance frameworks. Earlier studies explore transformer models, clustering for crop mapping, and data stream classification. Technical Contributions: Developer of GRNN multi-series forecasting, data stream neural network implementations, and MEFASD-BD multi-objective evolutionary algorithms.

• Astrophysics
• Star Formation
• Galactic Evolution
• +۵ مورد دیگر

Professor Steven Longmore is a faculty member at the Astrophysics Research Institute (ARI), Liverpool John Moores University, where he leads the Astro-Ecology group. His research bridges astrophysics and ecological applications. Current affiliation: Liverpool John Moores University Academic rank: Professor Research focus: Star formation, galactic evolution, and ecological technology His astrophysical research explores cosmic gas cloud dynamics, star system formation, and galactic evolution. He innovatively applies astronomical techniques to conservation challenges like endangered species protection, search-and-rescue optimization, and peat fire mitigation. Recent publications highlight his leadership in Central Molecular Zone studies using ALMA and JCMT surveys, alongside AI-driven ecological monitoring systems. Key themes include magnetic field alignment, spiral arm effects on star formation, and drone-based thermal imaging for fire detection. The Astro-Ecology group under his leadership demonstrates interdisciplinary approaches to sustainable development goals (Life on Land, Climate Action, Affordable Energy). Collaborations span institutions like Harvard-Smithsonian Center for Astrophysics and European Southern Observatory.

Juan Domingo Aguilar Peñaمشاهده پروفایل

استاد

• Photovoltaic Solar Energy
• Power Electronics
• Engineering Education
• +۴ مورد دیگر

Juan Domingo Aguilar Peña is a Full Professor in the Department of Electronic and Automatic Engineering at the University of Jaén. His research focuses on photovoltaic solar energy systems and engineering education innovation. He has directed academic units at both the University of Jaén and the University of Granada. PhD in Electronic Engineering (2011) Member of research groups TEP-101 and TEP-985 72 conference contributions and 75 total publications Founding member and former President of the non-profit 'Technology, Learning and Teaching of Electronics' His work spans technical research in photovoltaic systems and pedagogical development, including open educational resources and personal learning environments. He has contributed to JCR-indexed journals and conference proceedings, with over 600 Google Scholar citations. Scientific recognitions include: Industrial Technique Award (1987) Second Citation Prize (2009) He has developed educational tools like PV Excel Jaén 3.0 and promoted entrepreneurship through digital platforms and social media integration in engineering education.

Isaiah J. Limمشاهده پروفایل

استادیار

• Condensed Matter Physics
• High-Pressure Physics
• Superconductivity
• +۳ مورد دیگر

Dr. Isaiah J. Lim serves as an Assistant Professor in the Department of Physics at Eastern Illinois University (EIU), specializing in high-pressure physics and materials science. His research leverages diamond anvil cells (DACs) to explore quantum phenomena under extreme conditions, with collaborations extending to national facilities like Argonne National Laboratory. Dr. Lim's educational background includes: PhD in Experimental Condensed Matter Physics, Washington University in St. Louis (2015) MS in Physics, Western Illinois University (2009) MS in Theoretical Solid-State Physics, Dankook University (2003) BS in Physics, Dankook University (2001) His research focuses on pressure-driven phenomena in quantum materials, particularly superconductivity and magnetism under high-pressure conditions. Utilizing techniques like confocal Raman microscopy and synchrotron X-ray diffraction, he investigates how extreme pressures alter interatomic distances to induce novel material properties, with applications for ambient-condition material design. Analysis of his 2022-2025 publications reveals a concentrated effort on high-pressure superconductivity in low-Z materials , especially diborides and iridates. His work demonstrates how pressure and chemical substitution (e.g., niobium doping) can stabilize metastable phases, enhance critical temperatures, and manipulate electronic structures through defect engineering. No specific scientific awards were documented in the provided materials. Dr. Lim teaches core physics courses including General Physics I/II and Experimental Physics I/II. His research program features open-science initiatives like YouTube tutorials for high-pressure electrical resistivity setups, though no explicit grant details were specified. He maintains active collaborations with Washington State University and the University of Florida. His laboratory at EIU centers on diamond anvil cell experiments, supported by partnerships with synchrotron facilities at Argonne National Laboratory. Current work emphasizes pressure-induced quantum states in hydrogen-rich materials and metastable superconductivity mechanisms.

Stoo Seppمشاهده پروفایل

مدرس

• Educational Technology
• Cognitive Science
• Instructional Design
• +۴ مورد دیگر

Stoo Sepp is a Lecturer in Educational Technology and Learning Design at the University of British Columbia's Master of Educational Technology (MET) program. With experience since 2018, he specializes in integrating cognitive science principles into digital education frameworks. University of British Columbia Master of Educational Technology His research bridges cognitive science and educational technology , focusing on: working memory optimization , self-regulated learning , and gesture-based interaction in digital environments. Recent work explores educational data privacy and decentralized learning platforms . Key article trends span: 2019-2020: Cognitive load and movement integration 2022: Open educational resources evolution 2023-2025: Gesture analytics and translingual assessment tools Professional Networks : Active in #EdTech communities Contributor to #OpenEd movements Collaborator in cognitive load research

William Diehlمشاهده پروفایل

دانشیار

• Distance Education
• Online Education
• Adult Education
• +۴ مورد دیگر

Dr. William Diehl is an Associate Teaching Professor of Education at Pennsylvania State University's College of Education, where he serves in the Department of Learning and Performance Systems. He holds significant administrative roles as Coordinator of Online Graduate Programs and Professor in Charge for the Lifelong Learning and Adult Education (LLAED) program. His academic credentials include a Ph.D. in Adult Education with a focus on Distance Education from Penn State, an undergraduate degree in Elementary Education, and international teaching experience via Durham University in the United Kingdom. Dr. Diehl's research explores: Historical evolution of distance and online education Intercultural communication in virtual learning environments Competency frameworks for online teaching Open educational resource development Pedagogical applications of emerging technologies His publications consistently address transformational shifts in digital education, examining technological innovations (AI, Web 3.0), systemic barriers to change, and future-oriented pedagogical strategies. As Director of The American Center for the Study of Distance Education and founder of the International Museum of Distance Education and Technology, he leads initiatives preserving historical knowledge while advancing contemporary research. He serves as Associate Editor for The American Journal of Distance Education and has co-edited the comprehensive Handbook of Distance Education (4th Edition).

Julien Milleمشاهده پروفایل

دانشیار

• Computer Science
• Pattern Recognition
• Image Analysis
• +۵ مورد دیگر

Julien Mille is an Associate Professor at INSA Centre Val de Loire and Ecole Polytechnique de l'Université de Tours , France. He conducts research with the RFAI team (Reconnaissance des Formes et Analyse d'Images) at the Laboratoire d'Informatique Fondamentale et Appliquée in Tours. Previously, he was an associate professor at Université Claude Bernard Lyon 1 (2009-2015), affiliated with the LIRIS laboratory and Imagine team . Key research areas: Pattern recognition, image analysis, active contours/surfaces, optimal transport, human activity recognition Technical contributions: Developed open-source tools for image labeling ( PixelLabeling ), DeepFlowCUDA optimization Scientific contributions span computer vision, biomedical imaging, and plant science applications. Notable work includes: Optimal transport methods for image restoration Hierarchical skeletonization for shape matching Pose-driven attention mechanisms for video analysis 3D segmentation of medical images His research has been published in leading journals like SIAM Journal on Imaging Sciences , International Journal of Computer Vision , and Computer Vision and Image Understanding , along with major conferences including CVPR , ECCV , and ICIP .