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Muhsin MenekseView profile

Associate Professor

• Engineering Education
• Science Education
• STEM Education
• +5 more

Muhsin Menekse serves as an Associate Professor at Purdue University with a joint appointment between the School of Engineering Education and the Department of Curriculum & Instruction. His academic journey includes a Ph.D. in Curriculum and Instruction (Science Education specialization) from Arizona State University, complemented by advanced degrees in Educational Psychology and Physics from the same institution and Bogazici University. Ph.D. in Curriculum and Instruction (Science Education), Arizona State University M.A. in Educational Psychology (Measurement and Statistics), Arizona State University M.S. in Physics (Teaching specialization), Bogazici University B.S. in Physics (Teaching specialization), Bogazici University Menekse's research centers on engineering and science education with emphasis on student cognition, collaborative learning dynamics, metacognition, and technology-enhanced environments. His work bridges cognitive science with practical classroom applications through tools like CourseMIRROR, which leverages natural language processing to analyze student reflections. Current investigations explore AI-driven scaffolding, reflection quality metrics, and large-scale implementation of mobile learning platforms. Analysis of his recent publications reveals strong thematic continuity in reflection-based learning technologies, with increasing integration of NLP and AI methodologies since 2020. His work consistently addresses scalability challenges in engineering education while maintaining rigorous experimental designs across diverse classroom settings. Seed for Success Excellence in Research Awards (2017-2021) William Elgin Wickenden Award for best Journal of Engineering Education article (2014) NSF Fellow for Summer Institute in Advanced Research Methods (2021-2024) School of Engineering Education Excellence in Undergraduate Teaching Award (2020) AAAS scholarship for Next Generation Science Learning Goals workshop (2014) Menekse mentors doctoral students through dissertation committees while leading the CourseMIRROR project adopted across 15+ institutions including Purdue, University of Pittsburgh, and Bogazici University. His research has secured over $1 million in external funding annually since 2017. The CourseMIRROR platform, developed through collaborative grants, serves as both research instrument and pedagogical tool across engineering, computer science, and physics courses. His laboratory work focuses on the CourseMIRROR ecosystem, integrating mobile interfaces with NLP pipelines to analyze reflection data from thousands of students. Current initiatives involve large language model applications for sentiment analysis and adaptive scaffolding, with deployments spanning undergraduate engineering courses and middle school STEM classrooms.

Ivan J FernandezView profile

Professor

• Forest Ecology
• Soil Science
• Carbon Cycling
• +6 more

Ivan J Fernandez is a Professor at the University of Maine in the School of Forest Resources and Climate Change Institute. With over 238 publications and 11,940 citations, his research has significantly contributed to our understanding of forest ecosystems, particularly regarding biogeochemical processes, carbon cycling, and responses to environmental change. His work bridges academic research with practical applications for forest management and climate change mitigation. Dr. Fernandez's research interests center on forest ecology and soil science, with particular focus on carbon and nitrogen cycling in forest ecosystems. He has conducted extensive long-term research at the Bear Brook Watershed in Maine, examining ecosystem responses to nitrogen and sulfur deposition. His work addresses critical questions about how forest management practices affect carbon sequestration, how acid deposition impacts forest soils, and how climate change influences watershed processes. Recent research has expanded to evaluate natural climate solutions in forest and agricultural landscapes. Analysis of Dr. Fernandez's recent publications reveals a consistent focus on ecosystem responses to environmental change, particularly regarding carbon dynamics in forest ecosystems. His work spans from detailed soil biogeochemistry to landscape-scale carbon accounting, demonstrating both depth and breadth in ecological research. The publications show strong connections between forest management practices, carbon sequestration potential, and climate change mitigation strategies, with increasing emphasis on practical applications for policy makers. Lead contributor to Maine's Climate Future reports Principal investigator for Bear Brook Watershed in Maine research Key participant in Maine Natural Climate Solutions Initiative Extensive work on forest soil monitoring and assessment Dr. Fernandez's research program emphasizes long-term ecological monitoring and experimental approaches to understand complex ecosystem processes. His work on the Bear Brook Watershed has provided critical data on ecosystem recovery from acid deposition, while more recent projects evaluate forest management strategies for climate change mitigation. Through collaborations with state agencies and other researchers, his work bridges fundamental ecological research with practical applications for forest management and climate policy. Dr. Fernandez leads an active research group focused on forest ecosystem science, with particular emphasis on soil processes, carbon cycling, and responses to environmental change. His laboratory work complements extensive field research at sites like the Bear Brook Watershed, providing comprehensive insights into forest ecosystem function under changing environmental conditions.

Antonios LiapisView profile

Associate Professor

• Artificial Intelligence
• Procedural Content Generation
• Computational Creativity
• +5 more

Antonios Liapis is an Associate Professor at the Institute of Digital Games, University of Malta. He completed his PhD in September 2014 under the supervision of Georgios N. Yannakakis at the IT University of Copenhagen. His academic journey includes an M.Sc. in Information Technology from the same institution and a 5-year Diploma in Electrical and Computer Engineering from the National Technical University of Athens. Dr. Liapis has held various academic positions at the University of Malta: Post-doctoral Researcher (2014-2015), Lecturer (2015-2020), Senior Lecturer (2020-2022), and currently Associate Professor (2022-present). He has served as General Chair for multiple international conferences including FDG (2020), GALA (2019), and EvoMusArt (2018-2019). He is an Associate Editor of the IEEE Transactions on Games and a member of the Games Technical Committee of the IEEE Computational Intelligence Society. His research focuses on Artificial Intelligence as an autonomous creator and as a facilitator of human creativity. Key areas include computationally intelligent tools for game design and computational creators that blend semantics, visuals, sound, plot, and level structure to create various game genres including horror, adventure, shooter, and dungeon crawler games. His work has resulted in over 150 peer-reviewed publications and several research awards. Dr. Liapis has secured multiple research grants from the European Commission, including projects on AI-powered robotic material recovery, virtual reality aided design, and learning science through coding and play. His notable project series "Data Adventures" demonstrates the use of open data from Wikipedia, DBpedia, Wikimedia Commons, and OpenStreetMap to automatically generate adventure games with complete plots, characters, items, and locations. His scientific contributions have been recognized with several awards including Best Paper Awards at major conferences, Best Reviewer Award, and Runner-Up Best Student Paper Award. Dr. Liapis has also co-organized 16 workshops in diverse conferences throughout his career. Research interests include: Artificial Intelligence for creative applications Procedural Content Generation in games Computational Creativity systems Machine Learning for game design Affective Computing in virtual environments Human-AI collaboration in creative processes His recent work shows a strong trend toward integrating Large Language Models with game design, exploring quality diversity algorithms for creative applications, and advancing affect modeling for improved player experience. The research spans computer science, artificial intelligence, game studies, and human-computer interaction, with practical applications in education, entertainment, and design.

• Landscape Architecture
• Urban Planning
• Flood Risk Management
• +3 more

Frédéric ROSSANO serves as Assistant Professor at ENSA Strasbourg (School of Architecture), University of Strasbourg, where he leads the AMUP Laboratory. A landscape architect trained at Versailles National School and holder of a Doctor of Science from ETH Zurich, his career uniquely bridges academic research and professional practice. His educational background includes: Landscape Architecture degree, National School of Landscape Architecture of Versailles Doctor of Science, ETH Zurich ROSSANO's research pioneers project-based approaches to landscape and inhabited environments, with critical focus on flood risk management and natural hazards within territorial planning. His work demonstrates how design functions as a negotiation platform between ecological processes and urban development, particularly evident in river valley projects across Europe. Key contributions include shifting flood management paradigms from 'absolute protection' to 'controlled disaster' frameworks and developing dynamic landscape solutions for climate adaptation. His 15 most recent publications (2016-2008) reveal consistent thematic evolution toward climate-resilient spatial planning, with geographic diversity spanning Netherlands flood programs, Rhône Valley restoration, Isar River rehabilitation, and Mediterranean lagoon landscapes. These works integrate landscape architecture with territorial governance, emphasizing implementable solutions over theoretical constructs. Professional experience encompasses: Partner at KCAP Architects and Planners (Rotterdam/Zurich, 2000-2012) Academic positions at TU Delft, Academie van Bouwkunst Amsterdam, Versailles School, and ETH Zurich Current leadership of AMUP Laboratory's research initiatives ROSSANO's methodology transforms landscape architecture into an active agent of territorial change, where research directly informs built projects that balance ecological dynamics with urban functionality. His work provides critical frameworks for climate adaptation through spatially embedded, process-oriented design solutions.

• Analytical Marketing
• Natural Language Processing
• Marketing strategy
• +5 more

Lavy Khoushinsky serves as Assistant Professor in the Marketing Department at Laval University's Faculty of Administrative Sciences, where he maintains an active research program bridging analytical marketing, artificial intelligence, and consumer behavior. His work addresses critical contemporary challenges including ideological polarization in markets, healthcare access barriers, and ethical AI implementation. His educational foundation includes a Ph.D. from Smith School of Business, Master's in Sustainable Energy Policy from Carleton University, and Bachelor's in Communication from Concordia University. This interdisciplinary background informs his research approach that integrates technical marketing analytics with social impact considerations. Professor Khoushinsky's research program demonstrates remarkable thematic evolution from sustainable transportation (2019) through banking experience innovation (2020-2021) to his current focus on AI-consumer interactions in contested spaces. His 14 publications (2019-2025) reveal three dominant trajectories: AI-Mediated Consumer Interactions (50% of recent work): Examining chatbots, healthcare navigation systems, and accountability frameworks Ideological Market Dynamics (30%): Analyzing niche marketing in polarized environments and consumer discourse patterns Technology Adoption Barriers (20%): Studying privacy paradoxes, e-waste responsibility, and mixed-reality banking experiences His methodological approach combines computational linguistics with experimental design to address complex marketing phenomena. Through his teaching portfolio spanning Marketing Principles to AI applications, Professor Khoushinsky prepares students for evolving marketing landscapes. His course development emphasizes practical analytical skills while addressing contemporary ethical challenges in digital marketing. The collaborative nature of his publication record (80% co-authored) indicates strong team-based research practices and interdisciplinary connections across institutions.

Richard D GonzalezView profile

Professor

• Judgment and Decision Making
• Mathematical Modeling
• Statistical Analysis
• +4 more

Richard D Gonzalez serves as the Amos N Tversky Collegiate Professor of Psychology and Statistics at the University of Michigan, holding dual appointments in the Department of Psychology and Department of Statistics within the College of Literature, Science, and the Arts. He concurrently holds the position of Research Professor and serves as Center Director of the Research Center for Group Dynamics at the Institute for Social Research, where he leads interdisciplinary research initiatives. His research program integrates mathematical modeling with empirical investigation across judgment and decision-making processes. Core expertise includes formal models of decision-making under risk and uncertainty, with direct applications in eyewitness identification, medical diagnostics, consumer behavior, and sustainability science. He pioneers statistical methodologies for dyadic data analysis and develops computational tools for group process modeling, significantly contributing to health psychology and gerontological research through collaborations with medical institutions. Recent publications demonstrate methodological innovation across computer science, neuroscience, and public health domains. His team develops AI-driven diagnostic tools like vision transformers for dementia classification and interactive visualization systems for caregiving dynamics. Research consistently addresses health disparities, aging populations, and crisis response systems, with strong emphasis on racial equity in stress physiology and pandemic-era healthcare adaptations. Gonzalez directs the Biosocial Methods Collaborative, fostering cross-disciplinary methodological development, and leads the Research Center for Group Dynamics which supports large-scale studies on social dynamics. His center serves as a hub for longitudinal research on marital relationships, family caregiving systems, and community resilience during public health emergencies, with direct policy implications for healthcare infrastructure.

Daniel HolderView profile

Researcher

• Vehicle Design
• Automotive Design
• Design Methods
• +3 more

Daniel Holder serves as Head of the Research Group Automotive Design Engineering & Design Methods at the Institute of Engineering Design and Technical Design, University of Stuttgart. Holding a Dr.-Ing. degree earned in 2016, he specializes in vehicle design, applied ergonomics, and corporate design within automotive contexts. His research spans vehicle exterior and interior design, human-machine interfaces for automated vehicles, and design-technology convergence methodologies. Holder investigates how design elements influence user perception, safety, and acceptance in automated driving systems, with particular focus on sensor integration aesthetics, mixed-traffic communication, and ergonomic validation through advanced simulation techniques. His work bridges industrial design principles with engineering constraints in automotive development. Recent publications (2023-2025) reveal strong emphasis on design evaluation alternatives to traditional eyetracking, hybrid project management for design-technology integration, and spatial perception in automated vehicle interiors. Key projects include the BMWK-funded RUMBA initiative addressing user experience in automated vehicle cabins. No scientific awards were documented in the source materials. Holder serves as Program Manager for the Medical Engineering M.Sc. program and teaches Vehicle Design courses, demonstrating commitment to academic mentorship. His research group actively collaborates on government-funded projects like RUMBA, focusing on ergonomic optimization and spatial experience engineering for next-generation vehicle interiors.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +5 more

Associate Professor Tham Piumsomboon is a prominent researcher at the University of Canterbury's School of Product Design within the Faculty of Engineering. With a PhD in Computer Science from the same institution, their work bridges gaming, human-computer interaction, and immersive VR/MR/AR technologies to enhance user experiences and redefine lifestyle interactions. As founder of the QUADRIC Research Group, they lead initiatives addressing Aotearoa's agricultural, mental health, and sustainability challenges through intuitive intelligent user interfaces. Research focuses on the intersection of human qualia and technological design, emphasizing experiential learning, cognitive modeling, and ethical AI alignment. Key research thrusts include 'Agents' (AI autonomy levels), 'Humans' (IUIs for XR collaboration), 'Augment' (enhancing human perception), and 'Aotearoa' (local solution development). Their publications reveal strong trends in spatial interaction techniques, remote collaboration frameworks, and mental health applications of XR technologies. ACM CHI 2018 Best Paper Award for 'Pinpointing' research New and Emerging Researcher Award 2022 Extensive editorial service for IEEE TVCG, ACM SIGGRAPH, and UIST conferences As principal investigator for three major grants including 'Tōku Hoa: A Personalized Agent for Mental Health' (MBIE, 2022-2025) and 'Navigating Well-being' (Child Well-being Research Institute, 2024), they direct significant research funding toward mental health and agricultural technology. They supervise over 15 graduate students across diverse XR projects from locomotion techniques to therapeutic applications. The QUADRIC Research Group serves as their primary laboratory environment, fostering interdisciplinary collaboration between computer science, design, and clinical domains.

Baki KocaballiView profile

Senior Lecturer

• Artificial Intelligence
• Digital Health
• Interaction Design
• +5 more

Baki Kocaballi serves as a Senior Lecturer at the School of Computer Science within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), a position held since May 2020. He concurrently maintains an Honorary Research Fellow appointment at Macquarie University since the same date. His academic foundation includes a PhD in Interaction Design from the University of Sydney, completed in 2013. His research critically examines the convergence of artificial intelligence, digital health, and interaction design, with particular emphasis on multimodal and conversational systems. This interdisciplinary work manifests through projects like the Activating the Everyday Research Program and investigations into spatial collective intelligence developed with UNSW colleagues through the Smart Cities Research Cluster. His methodological approach integrates topological thinking—a conceptual framework he actively develops through dedicated research blogging—to challenge conventional spatial and relational assumptions in design. Analysis of his recent publications reveals dominant trends in healthcare AI applications, particularly conversational agents for clinical settings, digital scribes for documentation reduction, and context-aware systems for chronic disease management. These works consistently bridge technical AI development with human-centered design principles, reflecting his core commitment to usable and trustworthy digital health solutions. Best DC Paper Award at European Conference of Cognitive Ergonomics Doctoral Consortium (2010) Best Poster Award at Research Expo'09, University of Sydney (2009) His teaching portfolio includes advanced subjects in Design Thinking (2015-2017), Installation Studio (2012), and the Interdisciplinary Design Lab (2011), where he emphasizes human-centered methodologies, sensor-based interactive environments, and real-world problem solving. He actively supervises Masters and PhD research while collaborating across institutions through the Visualisation Institute Research Network and Trustworthy Digital Society initiatives. His artistic practice in photography and video complements his academic work, with exhibitions including the MAMA Art Foundation National Photography Prize and multiple international screenings.