Game-based Learning Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۶۹۱-۷۰۵ از ۸٬۶۳۹ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Christine Von Renesseمشاهده پروفایل

استاد

Westfield State UniversityUnited States

Christine von Renesse is a Professor in the Department of Mathematics at Westfield State University. She specializes in inquiry-based learning and integrates interdisciplinary connections (e.g., games, music, dance, arts) into her teaching, particularly in Mathematics for Liberal Arts courses. As a passionate advocate for STEM education reform, she co-leads the NE-COMMIT initiative and facilitates professional development workshops for K-12 and higher education faculty. Her work extends to graduate program coordination and institutional committees like Writing Across the Curriculum (WAC). Education: PhD in Mathematics (2007), University of Massachusetts Amherst M.Ed in Mathematics (2002), Technical University, Berlin Diplom in Mathematics (2001), Technical University, Berlin Her research focuses on enhancing mathematical understanding through open inquiry, with a strong emphasis on curiosity-driven pedagogy and accessibility. She has authored numerous publications on inquiry-based teaching, including collaborations on the COMMIT Network and the Discovering the Art of Mathematics project. Her NSF-funded work bridges faculty collaboration and STEM education transformation, supported by her leadership roles in initiatives like STEM-ACT. Prof. von Renesse actively contributes to academic service as a PRIMUS board member, graduate advisor, and coordinator of mathematics education programs. Her interdisciplinary approach spans from salsa dancing to proof-writing, aiming to make mathematics engaging and relevant across diverse fields.

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Mustafa Abdallahمشاهده پروفایل

استادیار

Purdue UniversityUnited States

Mustafa Abdallah is an Assistant Professor at the Computer and Information Technology (CIT) department of Purdue University in Indianapolis, with a courtesy appointment at the Purdue Polytechnic Institute. He holds a PhD in Electrical and Computer Engineering from Purdue University (2022) and prior degrees from Cairo University (MS: 2016, BS: 2012). His research focuses on game theory, behavioral decision-making, explainable AI, and deep learning, applied to cybersecurity, autonomous systems, and IoT anomaly detection. His work has been recognized by the prestigious Bilsland Fellowship and grants from IEEE and IUPUI. Industrial collaborations include Adobe Research (meta-learning for time-series forecasting), Principal Financial Group (financial risk prediction using Kalman filters), and RDI Company (deep learning for pronunciation systems, resulting in a US patent). He has published extensively in top venues like IEEE S&P, IEEE TCNS, and ACM AsiaCCS.

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Jackson Buntingمشاهده پروفایل

استادیار

University of WashingtonUnited States

Jackson Bunting is an Assistant Professor of Economics at the University of Washington. He holds a Ph.D. in Economics from Duke University (2021) and previously served as an Assistant Professor at Texas A&M University. His research focuses on structural econometric approaches to panel data, particularly addressing unobserved heterogeneity and learning models in dynamic settings. Bunting's work emphasizes methodological advancements in dynamic discrete choice models and hypothesis testing for panel data properties like marginal homogeneity. His research interests include applied microeconomics, structural econometrics, and computational methods in economics. Notable contributions involve semiparametric identification frameworks, permutation-based hypothesis testing for dynamic games, and improving computational efficiency in structural estimation. Bunting has collaborated with scholars like Federico Bugni and Takuya Ura on foundational econometric methodologies. Recent publications address topics such as homogeneity testing in dynamic discrete games, estimation techniques for dynamic choice models with unobserved heterogeneity, and algorithmic improvements for econometric analysis. His work bridges theoretical econometrics with applied problems in labor, industrial organization, and policy analysis.

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Rachel Adlerمشاهده پروفایل

دانشیار

University of Illinois Urbana-ChampaignUnited States

Rachel Adler is an Associate Professor at the University of Illinois, affiliated with the School of Information Sciences, National Center for Supercomputing Applications (NCSA), Beckman Institute for Advanced Science and Technology, and the Siebel Center for Design. Her research focuses on accessibility in technology, particularly for individuals with disabilities and cancer survivors, alongside computational thinking and multitasking behavior. Her work emphasizes inclusive design, mHealth interventions, and educational approaches to accessibility. Notable projects include developing apps for cancer survivors and co-designing peer navigation systems. She has collaborated on studies analyzing occupational performance measures for survivors and assessing usability of health technologies. Research Highlights: Accessibility in software, health informatics, and educational technology. Key Collaborations: Beckman Institute, NCSA, Siebel Center for Design. Adler’s publications address topics like music experiences for the deaf community, digital inaccessibility challenges, and family workshops for accessibility education. Her interdisciplinary approach bridges computer science, healthcare, and education.

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Jan Ryckebuschمشاهده پروفایل

استاد

Ghent UniversityBelgium

Jan Ryckebusch is a Senior Full Professor and Department Chair at Ghent University's Faculty of Sciences, Department of Physics and Astronomy . His research bridges Nuclear Physics and Interdisciplinary Physics , with notable contributions to quantum mechanics, statistical mechanics, and machine learning applications. Key research areas include Short-Range Nuclear Correlations , Neutrino-Nucleus Scattering , and Social Network Dynamics . He has supervised multiple PhD students in projects related to Quantum Computing , Agent-Based Modeling , and Statistical Physics of Social Systems . His recent work explores Econophysics (e.g., wealth-income mobility studies) and Opinion Dynamics in social networks. Scientific Awards : No specific awards mentioned in the provided data. Grants & Collaborations : Active in interdisciplinary projects with co-authors across Physics , Economics , and Computer Science , including Luis E C Rocha, Koen Schoors, Wim Cosyn, and others.

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Bryan Sarloمشاهده پروفایل

مدرس

Western UniversityCanada

Bryan Sarlo is a Lecturer in the Department of Computer Science at Western University since Fall 2017. He specializes in teaching foundational courses such as CS1033, CS1027, CS2033, and Python programming for non-CS students in the Western Integrated Science (WISc) program. He authored a digital multimedia textbook tailored for CS1033. Education: BSc in Computer Science, Nipissing University MSc in Computer Science (Thesis: AI in Video Game Development), Western University, supervised by Dr. Mike Katchabaw Research Interests: Focus on AI applications in video games, procedural content generation, and educational technology. His MSc work explored AI-driven society simulation in modern video games, with a focus on agent-based modeling and procedural generation techniques. Publications: Notable works include studies on artificial society generation, particle swarm optimization, and visualization frameworks applied to fuel consumption simulation through serious games. These contributions bridge game development, optimization algorithms, and educational tools. Awards: The 'Teaching Awards' section is listed but no specific awards are mentioned in available texts. Advising & Grants: No formal advisees or grants are listed in the provided materials. His role emphasizes teaching and curriculum development rather than direct graduate supervision. Labs/Teams: No specific lab or team affiliations are detailed in the text.

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Chloe Lucasمشاهده پروفایل

مدرس ارشد

University of TasmaniaAustralia

Dr. Chloe Lucas is a Senior Lecturer and Research Fellow at the School of Geography, Planning, and Spatial Sciences, University of Tasmania, with a focus on climate communication and social adaptation. She holds a PhD in Geography (2018) and an MA in English Literature (1997), bringing interdisciplinary expertise to her work. Current ARC DECRA Fellow in Climate Citizenship Coordinator of Education for Sustainability Tasmania Co-founder of the award-winning Curious Climate Schools initiative Her research explores the social dimensions of climate change , examining how cultural contexts shape responses to extreme weather events. She bridges human geography, sociology, and communication studies to develop inclusive climate dialogues. Recent projects focus on bushfire preparedness, youth climate education, and underinsurance dynamics. Key article trends show interdisciplinary work in climate adaptation games bushfire risk communication global climate perception datasets youth emotional resilience post-disaster community narratives with emphasis on visual media and participatory methods. Scientific Recognition Tasmanian Young Tall Poppy of the Year (2023) Schmidt Award for Science Communications (2022) Green Gowns Benefitting Society Award (2022) Wiley Best Paper Recognition (2018) As an educator, she coordinates Professional Research Methods and supervises PhD candidates studying climate communication. Her funded projects include Australian Research Council grants on bushfire readiness and Spencer Foundation research on youth climate education models.

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Clint Bowersمشاهده پروفایل

استاد

University of Central FloridaUnited States

Clint Bowers is a Professor in the Department of Psychology at the University of Central Florida's College of Sciences. His research focuses on leveraging technology to address psychological disorders, including developing games for anxiety prevention in military personnel and alcohol abuse prevention in college students. He also explores virtual/augmented reality applications for PTSD treatment and clinical training innovations, translating learning science into practical tools for clinicians. Key areas of study include first responder mental health, workplace coaching efficacy, and team resilience in healthcare. Notable achievements include the 2018 Pegasus Professor award. His work emphasizes scalable interventions like mobile apps for emergency workers and VR exposure therapy trials. Collaborations focus on medical team performance, stress management, and digital health literacy. Recent research highlights include evaluating school shooting prevention strategies, revalidating mental health stigma scales for first responders, and advancing gamified learning platforms for healthcare training. His lab explores emerging technologies' ethical and practical implications in mental health delivery systems.

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Cheryl Sealsمشاهده پروفایل

استاد

Auburn UniversityUnited States

Cheryl Seals is the Charles W. Barkley Endowed Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. She holds a Ph.D. in Computer Science from Virginia Tech, with additional degrees from Virginia Tech, North Carolina A&T State University, and Grambling State University. Her research focuses on AI ethics, natural language processing (NLP), virtual reality (VR) applications in healthcare and education, and promoting diversity in STEM. She leads initiatives like the NSF-funded AI ethics education project and the Institute for African Americans in Computing Sciences (IAAMCS). Notable awards include the Charles W. Barkley Professorship (2020) and participation in Drexel’s ELATES fellowship program. Her work bridges technology and social impact, including VR-based empathy training for medical students and interventions to mitigate pandemic-induced learning loss. She collaborates on interdisciplinary projects, such as automated grading tools for speech therapy and pavement crack recognition systems. Education: Ph.D. Computer Science, Virginia Tech M.S. Computer Science, Virginia Tech M.S. Software Engineering, North Carolina A&T State University B.S. Computer Science, Grambling State University Research Interests: AI Ethics and STEM Education Reform NLP for Sentiment Analysis and Hate Speech Detection VR Applications in Healthcare Training and Empathy Development Computing Equity and Underrepresented Groups Interdisciplinary Tools for Education and Accessibility Awards and Recognition: Charles W. Barkley Endowed Professor (2020–2025) ELATES Fellowship Participant (2024) Grants and Collaborations: NSF Grant: Integrating AI Ethics into STEM Curricula Collaborative Research: Evolution of IAAMCS National Science Foundation (NSF) AI Ethics Initiative Labs and Affiliations: Center for Artificial Intelligence and Cybersecurity Engineering McCrary Institute for Cyber and Critical Infrastructure Security

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Natasha Anne Rappaمشاهده پروفایل

دانشیار

Murdoch UniversityAustralia

Natasha Anne Rappa is an Associate Professor in the School of Education at Murdoch University, within the College of Health and Education. Her research focuses on educational technology, generative AI, virtual/mixed reality learning, and 21st-century skills. She holds a PhD from the University of Sheffield and an MA from the University of Michigan. Education: PhD in Education, University of Sheffield (2011–2015) MA in Educational Studies, University of Michigan–Ann Arbor (2010–2011) Postgraduate Diploma in Education, Nanyang Technological University (1996–1997) Bachelor of Arts with Honours, National University of Singapore (1992–1996) Awards: 2024 Vice Chancellor's Award for Excellence in Postgraduate Supervision 2021 Vice Chancellor’s Award for Excellence in Research and Innovation 2008 Lenovo Innovation Merit Award 2003 Service Excellence Award (Ministry of Education, Singapore) Her work explores AI-driven pedagogy, simulation-based learning, and MOOCs. Recent projects include dialogic approaches to AI integration in secondary education and the validation of work readiness scales. She actively contributes to journals like British Journal of Educational Technology and Asia-Pacific Education Researcher .

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Daniel McKenzieمشاهده پروفایل

استادیار

Colorado School of MinesUnited States

Daniel McKenzie is an Assistant Professor in the Department of Applied Mathematics and Statistics at the Colorado School of Mines. His research focuses on derivative-free optimization, implicit neural networks, and geometric methods in data science. He holds a B.Sc.(hons) and M.Sc. in Mathematics from the University of Cape Town (2010, 2014) and a PhD in Mathematics from the University of Georgia (2019). B.Sc.(hons): Mathematics and Applied Mathematics, University of Cape Town, 2010 M.Sc.: Mathematics, University of Cape Town, 2014 PhD: Mathematics, University of Georgia, 2019 His research explores the intersection of optimization theory and machine learning, with applications in spatial data modeling, geometric data analysis, and high-dimensional clustering. Recent work emphasizes curvature-aware algorithms, comparison-based optimization, and implicit network architectures like LatticeVision. His methods address challenges in non-stationary spatial data and convex game equilibria prediction. Key contributions include Fermat distance metrics for clustering, Jacobian-Free Backpropagation (JFB) for implicit networks, and zeroth-order algorithms for black-box optimization. While no scientific awards are listed, his publications reflect a strong focus on advancing optimization techniques for modern data science problems. No specific grants or advising roles are detailed in the provided text. His work bridges computational mathematics and applied AI, with potential applications in robotics, spatial statistics, and algorithmic game theory.

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Burhaneddin İzgiمشاهده پروفایل

دانشیار

Istanbul Technical UniversityTurkey

Burhaneddin İzgi serves as an Associate Professor in the Department of Mathematics Engineering at Istanbul Technical University, where he maintains an active research profile with projects extending through 2025. His work bridges theoretical mathematics with computational applications, particularly in game-theoretic problem solving. Research interests center on Game Theory and Stochastic Differential Equations, with specialized focus on matrix norm-based solution methods for zero-sum, fuzzy, and stochastic matrix games. Recent work integrates Artificial Intelligence techniques to address large-scale game complexity, reflecting interdisciplinary innovation across Numerical Analysis and Fuzzy Mathematics. Article trends (2022-2025) reveal consistent advancement of matrix norm methodologies across diverse game types, increasingly incorporating machine learning for computational efficiency. Publications demonstrate strong theoretical grounding in Mathematics while addressing practical applications in finance (e.g., IPO modeling) and decision systems. Scientific recognition includes: 2210 - Yurt İçi Yüksek Lisans Burs Programı (2008) 2211 - Yurt İçi Doktora Burs Programı (2010) Matematik Bölüm Birinciliği (2008) Üniversite İkinciliği ödülü (2008) Research funding includes TUBITAK-supported projects such as 'Stokastik Oyunlar İçin Matris Norm Tabanli Yeni Çözüm Yöntemleri Ve Yapay Zeka Uygulamalari' (2021-2023) and current grants developing chaos theory approaches for stochastic matrix games (2024-2025), demonstrating sustained external validation of his research program.

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Diane Tepyloمشاهده پروفایل

عضو هیئت علمی

Ontario Tech UniversityCanada

Dr. Diane Tepylo is an Associate Teaching Professor at the Faculty of Education, Ontario Tech University. She is located at Charles Hall, Room 336 in the Downtown Oshawa campus. Her contact information includes the email diane.tepylo@ontariotechu.ca and phone number 905.721.8668 ext. 3768. Dr. Tepylo holds a PhD in Applied Psychology and Human Development from the Ontario Institute for Studies in Education (OISE), focusing on mathematics teaching and learning within STEM fields. Her research interests include Coding and K-12 education, Inclusive mathematics education (particularly for at-risk students, English language learners, and culturally responsive pedagogy), Learning through technology, Spatial reasoning in STEAM education, and STEAM teacher development for both pre-service and in-service educators. She emphasizes innovative pedagogical approaches, such as flipped classrooms and problem-solving challenges to enhance student engagement and learning outcomes. Dr. Tepylo teaches a diverse range of courses across multiple programs, including: Bachelor of Commerce: BUSI 1915U (Business Mathematics I) Bachelor of Education: EDUC 1311U and EDUC 2408U (Coding and Communication), CURS 4140U and CURS 4141U (Mathematics Curriculum Studies) Bachelor of Arts, Educational Studies: EDST 1000U (Foundations of Learning), EDST 1100U (Problem and Inquiry-Based Learning), EDST 3170U (Developing Numeracy), EDST 4000U (Inquiry and Professional Practice), EDST 4120U (Games and Simulations for Learning), EDST 4610U (Coding and Maker Pedagogies for Young Children) No scientific awards or grants are explicitly mentioned in the provided information. Her work focuses on bridging educational theory and practice, with a strong emphasis on student-centered learning and technology integration.

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H.F. Machiel Van der Loosمشاهده پروفایل

دانشیار

University of British ColumbiaCanada

H.F. Machiel Van der Loos is an Associate Professor and Associate Head – External at the Department of Mechanical Engineering, University of British Columbia. He holds a PhD from Stanford University (1992) in human-robot interaction and a Diplôme d'Ingénieur from École Polytechnique Fédérale de Lausanne (EPFL). As Director of the CARIS Lab, his research focuses on rehabilitation robotics, roboethics, design methodology, and human-robot interaction in industrial contexts. He has authored over 50 peer-reviewed journal articles and 100 conference papers, and serves as Associate Editor for the Journal of Assistive Technology . His teaching includes core design courses such as the Capstone Design Project and cross-disciplinary 'Designing for People' courses spanning Computer Science, Applied Science, and Library Science. Van der Loos organized major conferences including IEEE ICORR 2013 and ICED17 at UBC. His work includes developing assistive technologies like power-assisted wheelchairs, AR interfaces for human-robot collaboration, and rehabilitation robots. The CARIS Lab emphasizes ethical considerations in corporeal robotics and user-centered design principles. Current research projects involve multimodal robot programming through AR, gesture-based interaction, and adaptive wheelchair control systems. His lab has collaborated with industry partners like JDQ Systems Inc. and Tableau to advance practical robotics solutions.

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Benjamin Turnbullمشاهده پروفایل

دانشیار

University of New South WalesAustralia

Associate Professor Benjamin Turnbull is Deputy Head of School at UNSW Canberra's School of Systems & Computing. His research focuses on cybersecurity, simulation, and emerging technologies, aiming to develop decision support systems for cyber resilience. He leads large-scale research projects funded by organizations like CSIRO, Australian Defence Force, and the US Naval Research Laboratory, totaling over $3 million AUD in grants. Teaching contributions include co-creating the Bachelor of Cyber Security program and directing multiple postgraduate cybersecurity offerings. His educational design emphasizes industry-relevant courses, from undergraduate to executive programs like the UNSW Online Cyber Security Masters. He has extensive experience in curriculum design, content development, and online education. Research interests span cyber situation awareness, secure simulation platforms, and automated learning from big datasets. Notable projects include the UNSW-MG24 microgrid cybersecurity dataset and frameworks like OQFL (quantum-based federated learning) for intelligent transportation systems. His work bridges theory and practice, with outputs including software tools and policy recommendations for cyber resilience in critical infrastructure. Key collaborations include the Cyber Cooperative Research Centre and DST Group. He has authored over 100 peer-reviewed publications, focusing on IoT security, blockchain-enabled learning, and cyber-physical-social systems resilience. His grants emphasize applied research with direct societal impact, such as mitigating supply chain cyber risks and enhancing microgrid cybersecurity.

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