جست‌وجوی استاد و پژوهشگر

Bruce McLarenمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Educational Technology
• Digital Learning Games
• +۳ مورد دیگر

Bruce McLaren is a Researcher at Carnegie Mellon University ’s Human-Computer Interaction Institute and head of the McLearn Lab . His work bridges Artificial Intelligence and Educational Technology , focusing on Digital Learning Games , Intelligent Tutoring Systems , and Collaborative Learning . He co-founded the free math tutoring platform Mathtutor and has authored over 200 academic articles, holding five patents. Education : B.S. in Computer Science (1981), M.S. in Computer Science (1984), M.S. in Intelligent Systems (1994), Ph.D. in Intelligent Systems (1999) from the University of Pittsburgh. McLaren's research explores how digital learning games like Decimal Point enhance math education, emphasizing student agency , gender effects , and feedback mechanisms using AI. His studies on erroneous examples and collaborative argumentation tools (e.g., ARGUNAUT, LASAD) have transformed pedagogical strategies. Recent work integrates Large Language Models (ChatGPT) into educational games for automated feedback. His publications span AI in Education , STEM Learning , and Machine Ethics , with a focus on learning analytics , knowledge tracing , and adaptive tutoring . McLaren’s studies often involve partnerships with institutions globally, including the German Research Center for Artificial Intelligence and Saarland University. Scientific Awards : Best Paper Award at ECTEL 2023; top 0.5% scholar in AI (ScholarGPS). McLaren actively pursues grants from the NSF , U.S. Department of Education , and Accenture , totaling over $2 million in recent projects. His lab, McLearn, collaborates with educators and technologists to refine teacher orchestration tools and student modeling frameworks.

Francesco Venezianoمشاهده پروفایل

دانشیار

• Geometry
• Number Theory
• Algebra
• +۳ مورد دیگر

Francesco Veneziano serves as an Associate Professor in the Department of Mathematics (DIMA) at the University of Genoa, Italy, holding academic rank MATH-02/B in Geometry. His teaching portfolio spans multiple engineering and mathematics programs, including Geometry for Computer Engineering and Naval Engineering undergraduates, and advanced graduate courses such as Galois Theory and Higher Geometry in Institutions for Mathematics Master's students. Office hours are maintained via the university's Aulaweb platform. His research program centers on pure mathematics with emphases on geometric structures and number-theoretic phenomena. Primary investigations explore continued fractions over algebraic number fields, rational angle classification in lattice geometries, and nonlinear recurrence relations. Recent work demonstrates interdisciplinary expansion into computational mathematics, notably applying reinforcement learning to game theory problems. The geometric perspective permeates all research strands, connecting abstract algebraic frameworks with concrete discrete structures. Analysis of his 2022-2024 publications reveals consistent focus on classical number theory problems with geometric interpretations. Key trends include periodicity properties in continued fraction expansions, Diophantine constraints in lattice configurations, and algorithmic approaches to strategic game analysis. The 2024 publication on 7 Wonders Duel represents a methodological evolution, merging dynamical systems theory with artificial intelligence techniques while maintaining core mathematical rigor. No scientific awards or honors were documented in the source material. No information regarding doctoral advisees, master's students, or externally funded research grants was provided. His academic contributions appear concentrated in theoretical research and advanced mathematical education within the university's mathematics department.

• Artificial Intelligence
• Natural Language Processing
• Legal Informatics
• +۵ مورد دیگر

Tomasz Pełech-Pilichowski serves as a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. He concurrently holds dual administrative leadership positions as Director of the AGH Recruitment Center and Rector's Representative for Recruitment, demonstrating significant institutional impact beyond his academic role. His research expertise spans artificial intelligence, natural language processing, and legal informatics with methodological foundations in deep learning and time series analysis. Recent work focuses on AI-driven solutions for legal text processing (text segmentation, hypertext law), educational technology (gamification, recruitment systems), and security applications (facial-age detection, anomaly identification). His interdisciplinary approach consistently bridges computer science with law, education, and environmental science through practical implementations. Analysis of his 2023-2025 publications reveals three dominant research trajectories: legal tech innovation (68% of output featuring text segmentation and regulatory automation), educational transformation (22% including gamified AI skill development), and security/environmental systems (10% covering IoT integration and pollution prediction). This progression shows increasing specialization in AI-NLP fusion techniques applied to domain-specific challenges, particularly within legal informatics where he has developed novel text recovery and visualization frameworks.

Pedro Alexandre Simões dos Santosمشاهده پروفایل

دانشیار

• Machine Learning
• Social Artificial Intelligence
• Game Design
• +۳ مورد دیگر

Pedro Alexandre Simões dos Santos is an Associate Professor at Instituto Superior Técnico, with dual appointments in the Mathematics Department and Computer Science and Engineering Department. His work spans Machine Learning, Social Artificial Intelligence, and Game Design, focusing on convergence analysis of ML algorithms, Social AI, and AI for Games. He actively contributes to game design, both digital and analogic, with a special interest in historical themes. Affiliations: Mathematics Department, Instituto Superior Técnico Computer Science and Engineering Department, Instituto Superior Técnico INESC-ID Research Unit GAIPS - Group of AI for People and Society His research integrates theoretical and applied aspects, including reinforcement learning in non-stationary environments, neural network optimization, and socially intelligent agent authoring tools. He explores AI applications in games, mental health support systems, and legal domains. His recent publications highlight trends in NFT-based game ecosystems, dialogue systems for mental health, and multi-agent reinforcement learning frameworks. Pedro teaches subjects such as Mathematics for Machine Learning and the 1st Cycle Integrative Project in Applied Mathematics and Computing, bridging mathematical foundations with computational applications.

• Design-Based Research
• Design Justice
• Participatory Design
• +۵ مورد دیگر

LuEttaMae Lawrence is an Assistant Professor in the Instructional Technologies and Learning Sciences program at Utah State University's Emma Eccles Jones College of Education and Human Services. As a learning scientist and design researcher, she collaborates with communities to co-design equitable learning environments that address social justice through participatory methodologies. Her educational background includes: PhD in Curriculum and Instruction, University of Illinois Urbana-Champaign MA in Curriculum and Instruction, University of Illinois Urbana-Champaign BFA in Graphic Design, Iowa State University Prior to USU, she completed postdoctoral fellowships at Carnegie Mellon University's Human-Computer Interaction Institute and UC Irvine's School of Education. Her research focuses on Design-Based Research, Design Justice, and Participatory Design to create collaborative learning environments that center community needs while addressing systemic inequities through educational technology. Recent publications (2024-2025) reveal three dominant trends: development of AI orchestration tools for dynamic classroom transitions, responsive teaching frameworks for theory-building activities, and community-engaged design justice projects addressing reproductive health and LGBTQ+ equity. Her work increasingly integrates generative AI with human-centered design principles while maintaining critical focus on ethical implications. Scientific recognition includes: Best Design Paper Award at CSCL 2022 for co-designing AI orchestration tools with middle school teachers Best Design Paper Nominee at CSCL 2021 Dr. Lawrence actively recruits graduate students for her lab, emphasizing collaborative culture and ethical research in co-design, social justice, and technology. Current projects include: PROJECT UNITE: Improving disability transition services with Canyons School District Emergency Contraception Access evaluation on USU campus Kids' Ethical Sensemaking in AI/Robotics afterschool makerspace Bear River Region LGBTQ+ Community Coalition for health equity Community Justice Advocate Program training social workers Rural Utah sexual health educator cultural navigation study Her lab operates through interdisciplinary partnerships with educators, nonprofits, and community organizations, prioritizing wellbeing and inclusive research practices while scaling design-based solutions from local contexts to broader educational applications.

Maryam Razavianمشاهده پروفایل

استادیار

• Information Systems
• Software Engineering
• Software Architecture
• +۳ مورد دیگر

Maryam Razavian is an Assistant Professor in the Information Systems group within the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e). Her research focuses on understanding and guiding information system design processes from both business and technical perspectives. Dr. Razavian received her PhD in Computer Science from VU University Amsterdam, where her dissertation focused on knowledge-driven migration to services funded by the NWO/Jacquard SAPIENSA project. She also holds an MSc from Tehran University and has worked as a Research Assistant at Politecnico de Torino. Her research interests include information system design reasoning, human aspects of information system design, software architecture, service orientation, and increasingly focuses on ethical considerations in software systems. A common theme in her work is understanding how designers carry out design thinking as a key to developing models and approaches for guiding information system design. Dr. Razavian's publication record demonstrates consistent contributions to software engineering and information systems research, with recent work focusing on ethical values in software systems, stakeholder inclusion, and the integration of rational and intuitive thinking in design processes. Her research examines how to incorporate ethical values into architecture design decision-making, including the development of the Ethics-Aware DecidArch Game to help software architects reflect on ethical considerations. Active member of program committees for major conferences including ICSE/SEIS (2015), WICSA (2015-2017), ER (2013-2014) Reviewer for journals such as Journal of Systems and Software and IEEE Software Teaches courses in research methods and design of AI systems at TU/e Her work bridges the gap between technical design processes and their broader societal implications, positioning her at the forefront of research on ethics in software engineering.

Jan Allbeckمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computer Game Technology
• Computer Graphics

Jan Allbeck is an Associate Professor in the Department of Computer Science and Associate Dean of the Honors College at George Mason University's College of Engineering and Computing. She advises honors students in Applied Computer Science and Computer Science, while teaching courses on game design, computer graphics, and special effects. PhD, Computer and Information Science, University of Pennsylvania MSE, Computer and Information Science, University of Pennsylvania BS, Computer Science, Bloomsburg University of Pennsylvania BA, Mathematics, Bloomsburg University of Pennsylvania Allbeck's research focuses on the intersection of animation, artificial intelligence, and psychology, particularly in simulating virtual humans and intelligent crowds. She develops frameworks for behavioral realism, agent decision-making, and crowd dynamics, with applications in virtual reality and cybersecurity training. As director of the Games And Intelligent Animation (GAIA) Lab, she explores advanced simulation techniques including semantic virtual environments, parameterized memory models, and high-density autonomous crowd systems. Her work emphasizes creating agents that can interact plausibly with humans and environments.

• Transfer Learning
• Recommender Systems
• Medical Imaging
• +۳ مورد دیگر

Honghui Du serves as a Research Fellow at the Insight Centre for Data Analytics, a leading Irish research institution specializing in data science with nodes across multiple universities. The role centers within the Decision Making research group, focusing on algorithmic solutions for dynamic environments. Research spans transfer learning in non-stationary data streams , recommender systems (notably news personalization using LLMs and diffusion models), and medical imaging under label scarcity. Key emphases include handling concept drift, optimizing active learning for medical diagnostics, and developing generative approaches for user-item interaction modeling. Emerging work explores gamification for sustainable behavior change and entity resolution via language models. Recent publications (2023-2025) reveal accelerating integration of diffusion models and transformers into recommendation frameworks, while maintaining core expertise in transfer learning for evolving data streams. Medical imaging research increasingly addresses practical constraints like limited annotations through adaptive curriculum strategies. The work operates within the Decision Making research group at the Insight Centre, which investigates algorithmic decision processes under uncertainty and dynamic conditions.

• Socially Assistive Robotics
• Assistive Robotics
• Rehabilitation Robotics
• +۲ مورد دیگر

Marcela Munera is an Associate Professor in Assistive Robotics at the University of the West of England (UWE Bristol). Her research focuses on robotic devices for rehabilitation, human-robot interaction, biomechanics, and movement analysis, with a particular emphasis on user-centered design approaches. Bioengineer, Universidad de Antioquia (Colombia) MSc in Mechanics and Materials, Ecole Nationale de Metz (France) PhD in Mechanics and Biomechanics, Université de Reims Champagne Ardenne (France) Key research areas include socially assistive robotics, rehabilitation robotics, and biomechanical modeling. She has led projects involving exoskeletons, smart walkers, and wearable sensors, often integrating participatory design and multimodal feedback mechanisms. Her publications highlight interdisciplinary applications in neurological rehabilitation (e.g., stroke, Parkinson's disease), autism therapy, and occupational health. Recent work explores smart upper-limb exoskeletons for construction workers, stress classification via novel sensors, and adaptive control systems for mobility assistance. FEDER, Region Champagne Ardenne Doctoral Grant Her doctoral research focused on industrial biomechanical assessments for sports performance and injury prevention, later expanding to human-centered rehabilitation robotics. She has collaborated on projects involving brain-computer interfaces, serious games, and cloud robotics frameworks like PoundCloud.

• Quantum Computing
• Computational Complexity
• Communication Complexity
• +۳ مورد دیگر

Dr Nikhil Mande is a researcher at the University of Liverpool's Department of Computer Science within the School of Electrical Engineering, Electronic and Computer Science. His work bridges quantum computing and classical complexity theory, with a focus on decision trees, communication complexity, and Fourier-sparse Boolean functions. His research includes groundbreaking work in quantum query complexity and communication complexity, supported by a Royal Society grant (2024-2026) titled "Power of Knowledge in Explorable Uncertainty." He has developed novel frameworks for comparing quantum and classical algorithms and analyzing complexity lower bounds. Key research outputs include studies on quantum sabotage complexity (2024), parity decision trees (2024), and randomized vs deterministic decision tree size (2023). His theoretical work challenges established conjectures, such as the Log-Approximate-Rank Conjecture (2020). He co-authored publications in venues like Quantum journal and LIPIcs conference proceedings. Scientific awards include: Royal Society Grant (2024-2026)

• Internet Law
• Data Protection Law
• Information Technology Law
• +۳ مورد دیگر

Sebastian Brüggemann is a German legal scholar specialising in Internet, data-protection and IT law. Since 2013 he has been a part-time lecturer (Lehrbeauftragter) at the Faculty of Law of Eberhard Karls University of Tübingen, and he holds parallel teaching appointments in data-protection and IT law at the Universities of Applied Sciences in Kehl and Ludwigsburg as well as at ZHAW School of Management and Law in Winterthur, Switzerland. In private practice he works as in-house counsel (Syndikusrechtsanwalt) for a large international IT company, focusing on data-protection and technology law. Education: 2003-2011: Studies of Law and General Rhetoric, Eberhard Karls University of Tübingen 2009: First State Law Examination, Tübingen 2011: Magister Artium in General Rhetoric, Tübingen 2010-2012: Legal clerkship (Referendariat), including stages at the German University of Administrative Sciences Speyer and eco – Verband der Internetwirtschaft 2012: Doctorate in Law (Dr. iur.), Tübingen – dissertation on third-party disclosure claims against Internet providers in copyright enforcement 2013: Admission as attorney (Rechtsanwalt) 2013-2015: Part-time LL.M. in Information Technology Law, Carl von Ossietzky University of Oldenburg Research interests span the intersection of law and digital technology: data-protection compliance under the GDPR, cybersecurity regulation, copyright in digital media, network neutrality, M2M/IoT legal issues, and the legal framework of behavioural advertising. His work frequently analyses German, European and comparative US developments. He has authored a monograph, numerous commentaries to GDPR/BDSG provisions, model IT contracts, and more than two dozen peer-reviewed articles and case notes since 2013, identifying recurring themes such as data portability, ISP liability, streaming and copyright, and the challenges of Industrie 4.0. Professional memberships & science communication: editorial board of Privacy in Germany , core team member of the Telemedicus IT-law portal, member of IAPP, DGRI and GRUR, and co-author of sector guidelines issued by Bitkom and eco association. There is no indication of supervised doctoral or master’s students in the supplied material; his teaching activities concentrate on specialised continuing-education courses and part-time lectures.

Lotten Wiréhnمشاهده پروفایل

مدرس

• Climate Change
• Climate Adaptation
• Human-Natural Systems
• +۵ مورد دیگر

Lotten Wiréhn is a Lecturer at Linköping University's Department of Theme (TEMA) , specializing in Theme Environmental Change (TEMAM) . Her research focuses on the intersections between climate change, human-natural systems, and sustainable development, with a particular emphasis on creating actionable climate information through Climate services Visualization tools Contextual relevance Decision-making support Her work spans diverse domains including Swedish agricultural adaptation , urban heat management , and climate aid in East Africa . She develops methodologies for climate risk assessment and innovative tools like the interactive Norrköping's Decision Arena to enhance climate adaptation dialogues and data interpretation. Current projects include BRIGHT : Strengthening urban heat adaptation in Swedish cities Decision support : Customized climate indicators for forestry and agriculture CSPR : Climate policy research for global impact

Scotty Craigمشاهده پروفایل

دانشیار

• Cognitive Science
• Learning Engineering
• Educational Technology
• +۱۱ مورد دیگر

Scotty D. Craig is an Associate Professor in Human Systems Engineering at The Polytechnic School, Arizona State University. He serves as Director of Strategic Initiatives at ASU's Learning Engineering Institute and co-directs the ASU Advanced Distributed Learning Lab in collaboration with the U.S. Department of Defense. His research spans cognitive science, educational technology, and immersive learning environments with applications in virtual humans, mixed reality training systems, and intelligent tutoring technologies. Ph.D. Experimental Psychology (Cognitive Learning), University of Memphis (2005) M.S. Psychology, University of Memphis (2001) B.A. Psychology with minors in Anthropology and History, University of Memphis (1998) Dr. Craig's research focuses on the intersection of human cognition, technology, and learning sciences. His work includes virtual humans for training, cognitive load optimization in medical websites, and mixed reality systems for medical education. He leads multiple DOD-funded projects totaling $8.5M, including the $5M Virtual Insomnia Patients system and $2M WaterSim America sustainability game. Recent publications emphasize immersive learning technologies, with 2025 work on collaborative AR learning companions and 2024 studies on voice quality impacts in pedagogical agents. His research has produced over 150 publications, including three edited books on educational technology. Scientific Honors: Pacific Southwest Best Paper Award (ASEE 2016) Best Poster Award (AIED 2017) Innovation in Scholarship Award (ASU 2017) Faculty Teaching Excellence Award (ASU 2018) Top 5% Teaching Recognition (Fulton Engineering 2024) Dr. Craig serves on editorial boards for International Journal of STEM Education and Computers & Education . He has organized five journal special issues and conducted extensive research evaluations for the U.S. DoD.

• Prevention Science
• Harm Reduction
• Quantitative Psychology
• +۴ مورد دیگر

Matt L. Miller is a Research Fellow at Arizona State University's REACH Institute, specializing in prevention science and computational modeling of high-risk behaviors. His work bridges psychology, public health, and complex systems analysis to develop evidence-based interventions for at-risk populations. Dr. Miller's academic background includes: Ph.D. in Psychology, University of California, Davis (2019) M.A. in Psychology, University of California, Davis (2016) B.S. in Psychology, University of California, Davis (2010) His research centers on harm reduction strategies for substance use and sexual behaviors, utilizing advanced quantitative methods including agent-based modeling and latent growth curve analysis. He focuses on translating theoretical models into real-world applications through simulation of human coordination systems and organizational behavior. Current projects examine cannabis-related hospitalizations in Arizona and methodological improvements in longitudinal data analysis. Recent publications (2015-2025) reveal three dominant research streams: (1) methodological innovations in latent growth modeling and time specification, (2) public health applications analyzing cannabis-mental health relationships in Arizona hospital data, and (3) ecological and behavioral simulations using agent-based models. His work consistently integrates computational techniques across psychology, epidemiology, and wildlife management domains. As a NIH T32 postdoctoral fellow mentored by Prof. Kevin Grimm and Prof. Cady Berkel, Dr. Miller contributes to the REACH Institute's mission through the SATRN expertise network in simulation design and quantitative analysis. His research group specializes in convergent modeling approaches that integrate conceptual, computational, physical, and data-analytic frameworks. Dr. Miller maintains active research infrastructure through his lab website (convergentmodels.com), ORCID profile (0000-0002-2377-6325), and Google Scholar citations, supporting ongoing projects in behavioral intervention translation and complex systems modeling.

• Mobile and wireless systems
• Internet of Things (IoT)
• Edge computing
• +۷ مورد دیگر

Mahanth Gowda is an Associate Professor in the Department of Computer Science and Engineering, leading a prolific research program at the intersection of mobile systems, wireless sensing, and human-computer interaction. His work has been continuously funded by the U.S. National Science Foundation since 2019, serving as Principal Investigator on four awards and Co-PI on two others, collectively spanning edge computing for XR, sign-language recognition, next-generation wireless networking, and healthcare-oriented wearables. Research Interests Millimetre-wave and ultra-wideband sensing for 3-D finger motion tracking and speech eavesdropping Edge-IoT platforms for real-time sign-language recognition and translation Neural-augmented game streaming and super-resolution on commodity mobile devices Open-source wearable systems for sports analytics and rehabilitative healthcare Security and privacy implications of motion sensors in smartphones and IoT devices Over the past five years his publication trajectory has concentrated on leveraging emerging radio modalities—especially millimetre-wave radar, Wi-Fi, and UWB—to extract fine-grained human-centric information such as finger gestures, facial micro-motions, and spoken content. A complementary thread develops edge-native machine-learning frameworks that push intelligence to resource-constrained devices, enabling immersive AR/VR experiences and assistive technologies for the Deaf and hard-of-hearing communities. Grants & Projects CAREER: Sign-to-Speech – NSF, $500k, 2021-2026; Edge-IoT platform for real-time ASL recognition. SHF: Medium: Next-Gen XR Edge Platform – NSF, $1.2M, 2022-2025; Co-PI with Das, Sivasubramaniam, Kandemir. CNS Core: IoTScope – NSF, $450k, 2020-2025; Sensing physical materials via low-cost IoT radios. CNS Core: Medium: ML-driven Next-G Wireless – NSF, $800k, 2020-2024; Co-PI with Yang and Mahdavi. I-Corps: Smart Ring for Healthcare Analytics – NSF, $50k, 2023-2025; Commercialization of finger-motion wearables. Labs & Teams Gowda directs a research group that operates at the confluence of wireless networking, embedded systems, and applied machine learning. The lab maintains active collaborations with faculty in computer architecture, augmented reality, and accessibility studies, and routinely mentors graduate researchers whose work appears in top-tier venues such as ACM MobiCom, IEEE INFOCOM, ISCA, and ACM IoTDI.