جست‌وجوی استاد و پژوهشگر

Joan Iverson Nassauerمشاهده پروفایل

استاد

• Landscape Architecture
• Urban Ecology
• Green Infrastructure
• +۱۲ مورد دیگر

Joan Iverson Nassauer is a Professor at the University of Michigan School for Environment and Sustainability (SEAS), specializing in Landscape Architecture. Her research bridges ecological design with cultural sustainability, focusing on human interactions with urban biodiversity and stormwater management at scales ranging from neighborhoods to continents. She has led Landscape and Urban Planning as Co-Editor-in-Chief from 2014-2021, elevating it to the top-ranked urban studies journal. Her work has earned recognition through Fellowships in the American Society of Landscape Architects and Council of Educators in Landscape Architecture, alongside Distinguished Scholar status from the International Association of Landscape Ecology. Her research emphasizes Transdisciplinary scenario-building for rural and urban landscapes Integrating community perceptions into ecological design Advancing policy through design innovation in agricultural and suburban environments Quantifying cultural sustainability through aesthetic and functional assessments Developing green infrastructure solutions for legacy cities and the Great Lakes region Key themes in her recent publications include stormwater management aesthetics, nature-based solutions for urban sustainability, and design methodologies for enhancing ecosystem services in human-dominated landscapes. Scientific awards include Fellow of the American Society of Landscape Architects (1992) Fellow of the Council of Educators in Landscape Architecture (2007) Distinguished Practitioner of Landscape Ecology (1998) IALE Distinguished Scholar (2007) 2023 Lifetime Achievement Award in Landscape Architecture Grants and collaborations highlight her NSF-funded projects on neighborhood greening, smart stormwater systems, and Detroit's green infrastructure initiatives. She leads the Landscape Ecology, Perception, and Design Lab , fostering partnerships between designers, ecologists, and local communities to advance sustainable landscape futures.

Tariq Iqbalمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۷ مورد دیگر

Tariq Iqbal is an Assistant Professor at the University of Virginia , with joint appointments in the Department of Systems and Information Engineering and Department of Computer Science . He leads the Collaborative Robotics Lab (CRL) , specializing in human-robot teams and embodied AI . Previously, he was a Postdoctoral Associate at MIT's CSAIL , advised by Prof. Julie Shah , and earned his Ph.D. in Computer Science from University of California San Diego (UCSD) under Prof. Laurel Riek . Ph.D. in Computer Science, University of California San Diego (2017) M.S. in Computer Science, University of Texas at El Paso (2012) B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2007) His research lies at the intersection of artificial intelligence and robotics , focusing on human-robot collaboration in dynamic environments. Key areas include motion prediction , multimodal fusion , trust modeling , and collaborative learning . His work integrates cognitive science and deep learning to enhance robotic fluency in naturalistic settings. Recent publications (2023–2025) highlight advancements in human-robot team dynamics , multimodal dataset creation , and motion prediction algorithms . Notable works include Energy-Based Transformers for scalable AI, PoseTron for motion prediction, and Accessible Navigation Mapping for assistive robotics. These contributions span trust modeling , cloud robotic infrastructure , and safety in close-proximity collaboration . National Science Foundation (NSF) CAREER Award Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) Award Commonwealth Center for Advanced Manufacturing (CCAM) Innovation Award As faculty, he has secured grants from NSF and AFOSR , mentored research students, and taught courses like Stochastic Modeling I (SYS 6005) and Robots and Humans (SYS 4582/6465, ECE 4502/6465, CS 6465) . His prior industry roles at IBM Watson Lab and Grameenphone Ltd. inform his applied research in telecom infrastructure and cognitive robotics . He leads the Collaborative Robotics Lab (CRL) at UVA, which develops multimodal datasets , real-time coordination algorithms , and adaptive pathfinding systems . Current projects explore human motion prediction , team synchrony , and embodied question-answering , reflecting his commitment to advancing human-robot fluency and contextual AI .

Anand Bhattadمشاهده پروفایل

استادیار

• Computer Vision
• Computer Graphics
• Generative Modeling
• +۲ مورد دیگر

Anand Bhattad is an Assistant Professor in the Department of Computer Science at Johns Hopkins University, starting Fall 2025. Previously, he held positions as a Research Assistant Professor at the Toyota Technological Institute at Chicago (TTIC) and a visiting scholar at UC Berkeley. His research focuses on the intersection of computer vision, generative modeling, and physical reasoning, aiming to develop perception-driven and physics-aware visual models. His academic journey includes a PhD in Computer Science from the University of Illinois Urbana-Champaign under David Forsyth, with mentorship from Derek Hoiem, Svetlana Lazebnik, Greg Shakhnarovich, and Shenlong Wang. Prior to his PhD, he earned dual master’s degrees in Computer Science and Civil and Environmental Engineering at UIUC and a bachelor’s in Civil Engineering from NITK Surathkal, India. Research interests center on how generative models encode physical and perceptual knowledge, with key contributions in intrinsic image emergence, projective geometry limitations, and physics-aware relighting techniques. His work bridges classical computer vision concepts with modern deep learning, producing state-of-the-art methods for 3D scene synthesis and image editing. Articles span topics like 3P Vision , diffusion models, and 360° video datasets, reflecting interdisciplinary approaches in computer graphics and computational photography. Scientific awards include Outstanding Reviewer at ICCV 2023, CVPR 2022 Best Paper Finalist, and multiple conference service roles as workshop organizer and area chair. He designed the TTIC course Past Meets Present: A Tale of Two Visions , teaching connections between historical and modern computer vision research.

Jinjin Guمشاهده پروفایل

استادیار

• Computer Science
• Artificial Intelligence
• Computer Vision
• +۷ مورد دیگر

Jinjin Gu is a tenure-track Assistant Professor at Sofia University "St. Kliment Ohridski" 's INSAIT (Institute for Computer Science, Artificial Intelligence, and Technology), leading research on visual cognition and intelligence. Her work spans visual perception, processing, generation, and reasoning. Education: Ph.D. in Electrical and Computer Engineering (2024), University of Sydney B.Sc. in Computer Science and Engineering (2020), Chinese University of Hong Kong, Shenzhen Her research focuses on visual cognition , including agentic systems , diffusion models , GAN architectures , model interpretability , super-resolution , and multimodal vision-language systems . She has developed novel paradigms like HYPIR for diffusion-quality restoration at GAN speeds. Recent publications highlight advancements in image/video restoration , generative modeling , and visual reasoning . Her work addresses critical challenges in model generalization , causal interpretation , and real-world application robustness . Scientific Awards: Stanford University's World's Top 2% Scientists (2024) Yunfan Award at World Artificial Intelligence Conference (WAIC) (2023) She has advised students contributing to TPAMI, CVPR, and ICLR publications, and serves as Area Chair for ICLR 2026, NeurIPS 2025, and ICML 2025.

Mykola Oleksiyovych Zhuravelمشاهده پروفایل

مدرس ارشد

• Occupational Safety
• Civil Defense
• Environmental Safety
• +۴ مورد دیگر

Mykola Oleksiyovych Zhuravel serves as a Senior Lecturer at Zaporizhia Polytechnic National University within the Department of Occupational Safety and Environmental Protection, part of the Faculty of Construction, Architecture and Design. With over 37 years of service since 1987, he has established himself as a dedicated educator and researcher in occupational safety, civil defense, and environmental protection fields. His research interests span occupational safety, civil defense, environmental safety, life safety, industrial safety, ergonomics, and risk management. Zhuravel's scholarly work consistently addresses practical safety concerns in Ukrainian industrial and educational settings, with a particular focus on regional environmental challenges in Zaporizhzhia. His publications demonstrate a progression from foundational safety principles to contemporary concerns like ecological energy security and digital workplace safety. Analysis of his 15 most recent publications reveals a strong emphasis on practical applications of safety science, with recurring themes in environmental protection, workplace hazard mitigation, and emergency preparedness. His work bridges theoretical safety frameworks with practical implementation strategies, particularly relevant to Ukrainian industrial contexts. Zhuravel maintains active professional development, with numerous certifications through 2024 in occupational safety, civil defense, and academic integrity. He is an associated member of the European Community for Occupational Safety and Health (EUOP register number 13823000211, registered June 12, 2023). As an educator, he teaches multiple safety-related disciplines including Safety of Life of a Specialist with Basics of Labor Protection, Protection of Human Living Environment and Occupational Safety, and Civil Protection and Occupational Safety in Industry. His teaching approach integrates theoretical knowledge with practical safety applications relevant to Ukrainian industrial contexts.

Christoph Stadtfeldمشاهده پروفایل

دانشیار

• Social Network Analysis
• Dynamics of Social Networks
• Statistical Methods for Network Data
• +۲ مورد دیگر

Christoph Stadtfeld is Associate Professor of Social Networks at ETH Zurich's Department of Humanities, Social and Political Sciences and co-director of the ETH Social Networks Lab. His research examines social network dynamics, focusing on tie formation processes, network effects on individuals, and advanced statistical methodologies for longitudinal network analysis. Education: PhD from Karlsruhe Institute of Technology (2011) Postdoctoral researcher and Marie-Curie fellow at University of Groningen, University of Lugano, and MIT Media Lab (2011-2014) His work bridges sociology, statistics, and computer science to address fundamental questions about how social structures evolve and influence behavior. Key interests include relational event modeling, co-evolution of networks and attributes, and applications in mental health, political polarization, and scientific collaboration. He develops innovative methods for analyzing dynamic networks using cutting-edge computational approaches. Recent publications reveal strong emphasis on methodological rigor in temporal network analysis, with significant contributions to relational event modeling and dynamic network actor frameworks. His work increasingly addresses societal challenges including political polarization, mental health impacts of social isolation, and innovation dynamics in healthcare. Scientific awards: Raymond Boudon Award of the European Academy of Sociology (2017) Freeman Award of the International Network for Social Network Analysis (2021) As co-director of the ETH Social Networks Lab, Stadtfeld leads interdisciplinary research teams developing novel network methodologies. His work has been supported by prestigious fellowships including Marie-Curie funding, and he actively mentors graduate students in network science methodology and applications across diverse domains. The ETH Social Networks Lab serves as a hub for advancing network theory and methodology, with ongoing projects examining student networks during crises, scientific collaboration dynamics, and innovation ecosystems through the lens of network science.

Ravi Dharمشاهده پروفایل

استاد

• Consumer Behavior
• Branding
• Marketing Strategy
• +۴ مورد دیگر

Ravi Dhar is the George Rogers Clark Professor at the Yale School of Management and holds an affiliated appointment as a Professor of Psychology at Yale University. He serves as Director of the Center for Customer Insights , focusing on consumer behavior, branding, and marketing strategy through psychological and economic frameworks. Ph.D. in Marketing, University of California at Berkeley (1992) MS, University of California at Berkeley (1990) MBA, Indian Institute of Management (1987) BTech, Indian Institute of Technology (1986) His research examines preference formation, self-regulation, and the interplay of conflicting goals in consumer decisions. Recent work explores sustainability, mobile commerce, and how guilt paradoxically enhances consumer pleasure. He has published over 50 articles and advised Fortune 100 companies across industries. Key trends in his publications include behavioral economics , eco-conscious consumption , and technology-mediated decisions . His studies address choice overload, goal systems, and the psychological drivers of indulgence versus self-control. Distinguished Scientific Contribution Award (Society for Consumer Psychology, 2012) Yale SOM Alumni Teaching Award (2012) William O'Dell Award Finalist (2004, 2008, 2012) AMA Doctoral Consortium Fellow (1991) Dhar consults firms on customer insights and has held visiting roles at HEC Paris , Erasmus University , and Stanford/NYU . He edits top journals like Journal of Consumer Research and Marketing Science , shaping academic and industry discourse.

Ahmad Al-Dabbaghمشاهده پروفایل

استادیار

• Control Systems
• Automation Systems
• Fault Diagnosis
• +۳ مورد دیگر

Ahmad Al-Dabbagh is an Assistant Professor in Manufacturing Engineering and holds a Principal's Research Chair in Control Systems (Tier 2) with the School of Engineering at The University of British Columbia. As a Senior Member of IEEE and ISA, he contributes significantly to the field of resilient automation and control systems through research, teaching, and professional service. His academic journey includes postdoctoral fellowships at Imperial College London, the University of Toronto, and the University of Alberta, where he also earned his PhD in Electrical and Computer Engineering. Dr. Al-Dabbagh's research focuses on designing resilient automation and control systems by addressing critical challenges in fault diagnosis, cyber security, and alarm management. His work spans theoretical foundations and practical applications in industrial control systems, with particular emphasis on detection and isolation of faults and cyber attacks, control reconfiguration, event-triggered control, remote state estimation, and alarm systems design. His research interests also extend to causality analysis, prediction methods, and root cause analysis for industrial processes. His extensive publication record demonstrates consistent contributions to control systems security and reliability, with recent work focusing on sophisticated methods for detecting false data injection attacks, analyzing alarm correlations using advanced machine learning techniques, and developing recommender systems for human operators in industrial environments. The trajectory of his research shows an evolution from foundational control theory toward increasingly complex applications in cyber-physical security and human-system interaction in industrial settings. NSERC Postdoctoral Fellowship NSERC Alexander Graham Bell Canada Graduate Scholarship (CGS – D3) Queen Elizabeth II Graduate Scholarship Governor General's Academic Medal (Gold) As a graduate student supervisor, Dr. Al-Dabbagh mentors the next generation of control systems engineers while maintaining an active research program. He serves as an Associate Editor on the IEEE Control Systems Society Conference Editorial Board and is a licensed Professional Engineer in British Columbia and Ontario. His teaching portfolio includes courses such as System Identification, Digital Enterprise, Systems and Control, and Internet of Things, reflecting the breadth of his expertise. Dr. Al-Dabbagh leads the Okanagan Laboratory for Control Systems Research, where his team develops innovative approaches to enhance the security and reliability of industrial automation systems. The laboratory serves as a hub for interdisciplinary research that bridges theoretical control engineering with practical industrial applications, particularly in the energy, manufacturing, and process industries.

Shrirang Mareمشاهده پروفایل

استادیار

• Security and Privacy
• Usable Security
• Human-Computer Interaction
• +۳ مورد دیگر

Shrirang Mare is an Assistant Professor in the Computer Science Department at Western Washington University (WWU), focusing on computer security and privacy with emphasis on usable security solutions for diverse user groups including low-literate individuals, the elderly, and cross-cultural populations. His research bridges human-computer interaction and cyber-physical systems to create accessible security mechanisms for emerging technologies. His educational background includes a PhD in Computer Science from Dartmouth College (2016), where his dissertation on seamless authentication for ubiquitous devices established his research trajectory. Dr. Mare's research interests encompass security and privacy, human-computer interaction, and cyber-physical systems, with specialized focus on security for low-literate users and developing regions. His work consistently addresses real-world applicability through field studies in countries like India and Pakistan, examining mobile payment systems, SMS fraud, and smart home privacy challenges. Analysis of his 15 most recent publications (2018-2024) reveals a dominant trend in wearable-based authentication systems (wristbands for desktops/smartphones) and privacy solutions for consumer IoT, particularly smart homes. His research uniquely combines technical security mechanisms with deep user-centered design principles, often targeting underserved populations in developing regions. No scientific awards or fellowships were mentioned in the provided documentation. Teaching responsibilities include Privacy Enhancing Technologies, Object Oriented Design, and Data Structures at WWU, with prior guest lectures at UC Berkeley and the University of Washington; no current advisees or grant funding details were specified. Dr. Mare operates within the Computer Science Department at WWU but no dedicated research lab or team structure was referenced in the source materials.

Hisham Zerriffiمشاهده پروفایل

دانشیار

• Environmental Geography
• Forestry
• Biomass Energy
• +۸ مورد دیگر

Hisham Zerriffi is an Associate Professor at the University of British Columbia (UBC) in the Department of Forest Resources Management, Faculty of Forestry. He also serves as Associate Dean for Equity, Diversity, and Inclusion. His research intersects technology, energy, and the environment, focusing on rural areas in the Global South. Affiliation: BioProducts Institute Affiliation: Clean Energy Research Centre Affiliation: Institute for Resources, Environment and Sustainability His research examines institutional factors in technology diffusion, household energy choices, and welfare impacts of energy use. Current projects include analyzing forest density's ecological impact, clean cooking transitions in India, and decentralized energy systems. Recent publications address just transitions, biomass energy economics, and policy misalignments in Indigenous communities. He has authored works on climate change mitigation via forest carbon credits and rural electrification strategies. Scientific Award: Ivan Head South/North Research Chair As a PhD supervisor, he has guided Natalie Payer on urban energy poverty in the U.S. He collaborates on interdisciplinary grants and leads the Energy Resources, Development and Environment Lab (ERDELab).

Roy Dongمشاهده پروفایل

استادیار

• Control Theory
• Cyber-Physical Systems
• Machine Learning
• +۷ مورد دیگر

Roy Dong is an Assistant Professor at the University of Illinois at Urbana-Champaign, affiliated with the Coordinated Science Laboratory. His research bridges Control Theory Economics Statistics Optimization to address challenges in cyber-physical systems and the Internet of Things, focusing on data manipulation, privacy, and strategic behavior in interconnected systems. His academic journey includes a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley (2017) and dual B.S. degrees in Economics and Computer Engineering from Michigan State University (2010). At Illinois, he teaches courses ranging from Control Systems to Convex Optimization , with multiple teaching excellence awards. Roy's research explores Closed-loop effects of machine learning Causality in decision systems Incentive design for strategic agents Privacy-utility tradeoff optimization Human behavior modeling with applications in smart grids, transportation networks, and semi-autonomous vehicles. His work formulates privacy-preserving mechanisms as optimization problems, balancing data utility against user privacy in dynamic systems. Article trends show expertise in Game theory for strategic data sources Energy disaggregation techniques Nonlinear basis pursuit algorithms Privacy-aware control systems with a focus on cyber-physical systems and human-in-the-loop applications. Scientific recognition includes 'Teacher Ranked as Excellent' awards (ECE 120, ECE 486, ECE 515) Contributions to smartSDH building control and CPRL compressive sensing Roy leads the Privacy-aware Control Systems research group, collaborating with institutions like UC Berkeley and Michigan State University , and directs projects funded by grants including the New USDA NIFA grant for agricultural robot autonomy .

• Digital Marketing
• Human-Computer Interaction
• Behavioral Marketing
• +۵ مورد دیگر

Dr. Yu-Ting Lin is a Senior Lecturer and Postgraduate Research Coordinator at the School of Marketing, The University of New South Wales (UNSW) . With a PhD in Marketing from Imperial College London , an MS in Management Information Systems from National Chengchi University , and a BBA in Management Information Systems from National Chiayi University , she bridges human-computer interaction and digital marketing through innovative research. Education: BBA, National Chiayi University MS, National Chengchi University PhD, Imperial College London Her research focuses on the intersection of digital technology and consumer behavior , particularly in emotional ad design , immersive media , and real-time marketing . She also explores mHealth applications for behavioral change. Dr. Lin’s work spans Journal of Marketing , Journal of Service Research , and other high-impact venues. Her recent Google Scholar publications highlight themes in branding psychology , digital interventions , and user experience analytics . Scientific Awards: 2024 ANZMAC Best Paper in Track Artificial Intelligence and Innovation 2024 Research Impact Award, UNSW Business School 2024 Research Supervisor Award, UNSW 2022 Dean's Research Fellowship, UNSW Business School 2021 Research Excellence Award – Early Career Researcher, UNSW Business School 2021 AMA TechSIG Lazaridis Prize for Best Paper on Marketing Innovation 2020 Finalist MSI Paul Root Award 2019 Technologies Incubation Scholarship, MOE (Taiwan) 2018 Case Centre Fellowship, Imperial College Business School 2017 Tutorial Fellowship, Imperial College Business School Dr. Lin’s grants include over AUD 400,000 in funding from ARC Discovery Projects , Australian Marketing Institute , and Taiwanese Overseas Pioneers Grant . She contributes to the Media Engagement and Analytics Lab (MEAL) at UNSW Business School.

Hyosang Leeمشاهده پروفایل

استادیار

• Tactile Sensing
• Robotics
• Soft Robotics
• +۴ مورد دیگر

Hyosang Lee is an Assistant Professor in the Robotics Section of the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). He holds a PhD from KAIST and has held research positions at the Max Planck Institute and University of Stuttgart. His work focuses on tactile sensing technologies, including artificial skin development, soft robotics, and integration of sensory systems with AI. Bachelor's: Mechanical Engineering, Korea University Master's: Robotics and Mechanical Engineering (double major) PhD: Mechanical Engineering, KAIST (2017) Research interests span tactile sensor design, electrical impedance tomography (EIT), and human-robot interaction. His group emphasizes creating scalable, flexible tactile systems for robots. Recent work includes air pressure sensing for force estimation and biomimetic skin materials. Publications highlight innovations in multi-directional force sensing, soft component technologies, and haptic interfaces for autism therapy. He teaches 'Dynamics and Control of Robotic Systems' and serves on the editorial board of npj Robotics . No formal student advisees are listed, though his lab, the Tactile Sensing and Robotic Skin Group , likely involves graduate researchers. His research contributes to UN Sustainable Development Goals related to health and technology.

Zohreh Sharafiمشاهده پروفایل

استادیار

• Software Engineering
• Human Aspects of Software Engineering
• Gender Studies in Software Engineering
• +۷ مورد دیگر

Zohreh Sharafi is an Assistant Professor of Software Engineering in the Department of Computer and Software Engineering (GIGL) at Polytechnique Montréal. Previously, she served as a Senior Research Fellow in the Department of Electrical and Computer Engineering at the University of Michigan, Ann Arbor, where she worked with Dr. Westley Weimer and was awarded the prestigious NSERC Postdoctoral Fellowship. Prior to her academic career, she worked as a software engineer at Morgan Stanley, contributing to the firm's electronic trading platform and serving as principal architect of SURF, a market data simulator. Her educational background includes a Ph.D. in Computer Engineering from École polytechnique de Montréal under the supervision of Dr. Giuliano Antoniol and Dr. Yann-Gaël Guéhéneuc, a Master of Applied Science in Software Engineering from Concordia University, and a Bachelor of Computer Engineering from the University of Tehran. Dr. Sharafi leads the SENSE Lab, a multidisciplinary software engineering research laboratory focused on understanding problem-solving strategies developers use during software development, with particular attention to human factors such as gender and native language. Her research combines human-centric design with experimental methodologies, investigating cognitive processes involved in software development using biometric measures including eye tracking and neuroimaging. Current active projects include evaluating trustworthiness perceptions of software artifacts and studying the role of creativity in software engineering tasks. She has made significant contributions to understanding how gender influences program comprehension and code review processes. Her publication record demonstrates a strong focus on empirical methods in software engineering, particularly eye tracking and neuroimaging techniques to study developer cognition. Her work spans program comprehension, code review, requirements engineering, and the impact of human factors on software development processes. She has developed methodological frameworks for conducting eye tracking studies in software engineering and has made notable contributions to understanding how visualization techniques affect software development tasks. NSERC Postdoctoral Fellowship NSERC Discovery Grant Program and Launch Supplements (Sep 2024-Sep 2029) IVADO Startup & Operation Fund (Jan 2022-Jan 2023) Scholarship for Doctoral Studies from Fonds de Recherche du Quebec Distinguished Reviewer Awards from IEEE ICPC 2020 and ACM FSE 2024 Dr. Sharafi actively mentors students including Mahta Amini (PhD Candidate, IVADO Scientifique en résidence 2024 Laureate), Cameron Cherif (PhD Candidate), Sara Yabesi (Master's Student), and Anthonia Njoku (Graduate research intern). She serves on numerous conference organizing committees including as Local Arrangement Chair for SANER 2025, Program Co-chair for SEMLA 2024, and as a reviewer for top-tier journals including IEEE Transactions on Software Engineering and ACM Computing Surveys. Her research is supported by multiple grants focused on understanding human factors in software engineering through empirical methods. At Polytechnique Montréal, Dr. Sharafi directs the SENSE Lab which brings together computer scientists, cognitive scientists, and software engineering researchers to investigate the cognitive aspects of software development. The lab employs advanced methodologies including eye tracking, functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) to study how developers comprehend, navigate, and modify software systems. Current projects examine trustworthiness perceptions in code review, the role of creativity in software engineering tasks, and gender differences in software development processes.

Andrew Gilbertمشاهده پروفایل

عضو هیئت علمی

• Humanities
• Game Studies
• Media Studies
• +۳ مورد دیگر

Andrew Gilbert, PhD, is an Assistant Teaching Professor of Humanities, Game Studies, and Media at the University of Colorado, Boulder. His research bridges literary criticism, game design, and cultural analysis, notably exploring the intersection of board games like Pandemic with real-world global crises. His screenwriting has garnered recognition, including a semi-finalist placement in the Nicholl Fellowship for his script After this . Education: PhD in Comparative Literature. Professional Work: Co-founder of Helpful Goat Gaming LLC, creator of the live-play podcast Goats and Dragons , and collaborator with actor Dominic Monaghan on Dom and Dragons . His screenplays and films have been featured at festivals such as the Beverly Hills International Film Festival and the International Film Festival of India. Research emphasizes narrative structures in games and media, with a focus on how interactive storytelling reflects societal challenges. Awards include the Nicholl Fellowship nomination, highlighting his creative and analytical contributions.