Florian Kern is a PhD candidate in Human-Computer Interaction at the University of Würzburg, supervised by Prof. Marc Erich Latoschik. He holds an M.Sc. in Computer Science focusing on HCI (2018). His research centers on Extended Reality (XR), particularly text input methods, surface alignment for handwriting/sketching, and VR applications in rehabilitation. Key projects include the Off-The-Shelf Stylus framework for XR interaction and the Reality Stack I/O modular framework for cross-platform XR development. Research Interests: XR Interaction: Handwriting/sketching in VR/AR, physical-virtual surface alignment. Rehabilitation Technology: VR-based gait training (e.g., Homecoming application for MS/stroke patients). Framework Design: Cross-platform tools like Reality Stack I/O, modular animation pipelines. User Experience: Evaluating input techniques, sketching behavior, and usability in immersive systems. Publications emphasize technical innovations (e.g., stylus calibration, surface refinement) and interdisciplinary applications (e.g., healthcare VR). Collaborations span HCI, psychology, and engineering departments.
Dr. Anna Kosovicheva is an Assistant Professor in the Department of Psychological and Brain Sciences at the University of Toronto Mississauga (UTM), where she co-directs the Applied Perception and Psychophysics Laboratory (APPLY Lab) with Dr. Benjamin Wolfe. Her research integrates vision science with real-world applications, focusing on spatial vision, binocular vision, and eye movement dynamics. PhD in Psychology, University of California, Berkeley (2015) Postdoctoral Researcher, Northeastern University (2015-2020) Dr. Kosovicheva investigates how individual differences in fundamental visual processes impact real-world perception, including driving safety, digital text readability, and visual impairments like amblyopia and strabismus. Her work employs psychophysical methods, eye tracking, and naturalistic scene analysis to develop novel diagnostic tools and improve human-computer interaction. Recent publications explore the low-prevalence effect in road hazard detection, variable font readability, and peripheral binocular imbalances in amblyopia. Collaborations with Mechanical and Industrial Engineering at UofT demonstrate her interdisciplinary approach. Dr. Kosovicheva has secured multiple research grants, including an NSERC Discovery Grant and sponsored projects with Adobe, focusing on optimizing digital interfaces and understanding visual search efficiency. NEI F32 Postdoctoral Fellowship She supervises graduate students and teaches courses in perception, sensation, and visual cognition. The APPLY Lab team includes postdoctoral fellows, graduate students, and research assistants working on translational vision science applications.
Prof. Dr. Petra Imhof is a full professor of Computational Chemistry at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), where she serves as Technical Director of the Computer Chemistry Center. She leads a dynamic research group focused on understanding biomolecular processes through advanced computer simulations. Her work bridges chemistry, biology, and physics, with strong emphasis on enzyme mechanisms, DNA-protein interactions, and computational biophysics. Her research interests include: Computational modeling of enzymatic reaction mechanisms using QM/MM methods Protein-DNA recognition and specificity, especially in DNA repair enzymes like thymine DNA glycosylase and restriction endonuclease EcoRV Proton transfer dynamics in membrane proteins such as cytochrome c oxidase Allosteric communication networks in proteins Transition network analysis for complex macromolecular transitions Computational spectroscopy, including vibrational and fluorescent protein studies Her recent publications reveal a strong focus on DNA repair mechanisms, metalloenzyme inhibition, and the physical chemistry of biomolecular recognition. The works span from fundamental biophysical questions to applications in drug design and biosensor development, reflecting a deep integration of theory and biochemical insight. Prof. Imhof has mentored numerous researchers, including PhD and postdoctoral students, many of whom are listed as co-authors on her publications. She has not received any explicitly mentioned scientific awards in the provided text. She leads an active research team investigating protein dynamics, enzymatic catalysis, and DNA damage recognition using molecular simulations. The group employs cutting-edge computational techniques to model complex biological systems, with applications ranging from basic science to therapeutic development.
Dr. Marcus Handte is a Senior Researcher at the University of Duisburg-Essen, focusing on networked embedded systems, context-aware computing, and sustainable mobility. His academic journey includes a Habilitation in Computer Science (2013) and a PhD in Natural Sciences (2009) from Universität Stuttgart, alongside a Master's degree from Georgia Institute of Technology (2002). Research Interests Context-aware applications Localization and location-based systems Sustainable mobility solutions Internet of Things (IoT) Smart city infrastructure Privacy-preserving technologies His recent work involves developing platforms for multimodal mobility analysis (MOBYDEX), wireless EV charging systems (TALAKO, FAIR), and innovative approaches to indoor localization. Publications span journals like Machine Vision and Applications and conferences in pervasive computing. Scientific Recognition Best Poster Award at ACM KMIS 2023 Dr. Handte has contributed to projects such as ATMo2, INNAMORUHR, and GAMBAS, and maintains active collaborations across institutions. His expertise in adaptive middleware and distributed systems continues to shape research in smart mobility and ambient intelligence.
Xiang Lin is a Senior Lecturer in Economics and Associate Professor at the Department of Social Sciences, Stockholm University. He serves as a Subject Coordinator and teaches financial economics and econometrics. His research focuses on macroeconomic policy, tourism economics, and entrepreneurship, with particular attention to monetary policy dynamics, pandemic impacts, and regional tourism resilience. Key research interests include the credibility of dual-mandate monetary policies (e.g., US Federal Reserve), transmission mechanisms in the Eurozone, and the interplay between land characteristics and tourism demand. He explores long-term economic phenomena such as bankruptcy fraud in Sweden's small business sector and the role of property rights in entrepreneurship. Recent publications analyze pandemic-driven shifts in tourism demand, stock market responses to crises, and spatial factors influencing recreational activities. His work bridges theoretical frameworks with empirical evidence, emphasizing policy relevance and cross-regional comparisons. No current grants or lab affiliations are mentioned. His advising and grant history remain unspecified in the provided texts.
Jos Mulder is a Senior Lecturer in Music Technology at the School of Music, Australian National University. His work bridges theory and practice in live sound technology, emphasizing technological innovation, hearing health, and socio-cultural dimensions of music performance. He holds a PhD from University of Technology Sydney (2013) and a Master of Arts Policy and Management from Utrecht University (2008). Education: PhD (UTS 2013), MAS (Utrecht 2008) Research focuses on live sound systems, sound level management in venues, and hearing health in performance arts. He explores historical developments in amplification technology and their cultural impacts. Current projects analyze regulatory frameworks for noise management and audience participation dynamics in live events. Publications (2022-2024) highlight collaborations on sound monitoring methods, participatory noise analysis, and recontextualizing music technology through digital mediums. His work appears in peer-reviewed journals and conferences like AES and Internoise. Registered to supervise research students focusing on music technology intersections between technical, cultural, and health domains. Active in professional organizations including the Audio Engineering Society.
Jamie Casey, Professor of Economics at Washington and Lee University's Williams School, bridges environmental science and economics through fieldwork in Mexico, Cuba, Belize, Barbados, Honduras, and Brazil. He earned his Ph.D. at North Carolina State University (2001) following a B.A. from W&L (1991). Focus: Coastal development, environmental change, and stakeholder engagement Curriculum: Teaches economy-environment interconnections His research spans 25+ years of valuation surveys, analyzing how communities and tourists value natural resources. Google Scholar publications reveal consistent work on: Marine conservation economics Agroforestry adoption by farmers Recreational demand modeling Scientific achievements include: 2023 Cuba Social Entrepreneurship Summit presentation 2022 book chapter on environmental economics pedagogy 2019 EPA cost-benefit analysis testimony Casey plans to continue this impactful research for decades, working with interdisciplinary teams of scientists and local stakeholders.
Sejong Yoon is an Associate Professor of Computer Science at The College of New Jersey , where he joined in Fall 2016. He earned his Ph.D. in Computer Science from Rutgers, The State University of New Jersey in 2016, M.S. in Computer Science from Sogang University in 2009, and B.Eng in Computer Science from Sogang University in 2007. His research bridges Artificial Intelligence , Machine Learning , Computer Vision , and Human Behavior Modeling , focusing on reconciling individual decision-making with group-level behavior through Generalized Computational Models . Current research areas include Crowd Motion Analysis , Distributed Machine Learning , and Multimedia Analysis , with applications in Medical Informatics from earlier work. Recent publications demonstrate expertise in crowd simulation , trajectory prediction , and few-shot segmentation using advanced machine learning techniques. His work combines environmental analysis , behavioral modeling , and multi-agent systems to create realistic simulations and predictive frameworks. 2024 : Best Reviewer Award, IEEE FG 2018 As active mentor, he supervises numerous undergraduate research projects and capstone teams , with many students transitioning to prestigious positions at companies like Google , Amazon , and Bloomberg . His NSF grant #1955365 supports research on Crowd-Space Embeddings , while serving on multiple curriculum and research committees .
Afra Mashhadi is an Associate Professor in the Division of Computing & Software Systems at the University of Washington Bothell within the School of Science, Technology, Engineering & Mathematics. She concurrently serves as an Adjunct Associate Professor at the University of Washington Information School (i-School) and holds affiliate positions at the e-Science Institute and Center for Studies in Demography and Ecology (CSDE). Dr. Mashhadi co-chairs the steering committee for the Responsible AI Systems and Experiences Centre (RAISE) and is recognized as a leading advocate for ethics and diversity in computing. Educational Background: Ph.D. in Computer Science, University College London, London, England Her research pioneers computational behavioral modeling through ethical AI frameworks, developing mathematical models that leverage digital data and machine learning to analyze societal phenomena across spatial scales and human behavioral dynamics. This work bridges ubiquitous computing, algorithmic fairness, and privacy-preserving systems with direct applications in social computing and responsible technology deployment. Recent publications demonstrate a cohesive research trajectory focused on ethical AI challenges, particularly examining social reasoning in LLMs, bias quantification in co-authorship networks, fairness benchmarking for generative models, and privacy-preserving federated learning. These works appear in premier venues including ACM WSDM, ICTIR, IEEE DCOSS, and ACM JCSS, reflecting her leadership at the AI-society intersection. Scientific Awards: Sr. Chief Ronald G. Gamboa Endowment Faculty Fellowship Award Scholarly Service: Program Chair: ICWSM 2021, SocInfo 2019 Tutorial Chair: IC2S2 Broadening Participation Chair: ACM Ubicomp 2023 Senior Committee: FAccT, CHI, WebSci, ICWSM Dr. Mashhadi maintains active research affiliations with the Responsible AI Systems and Experiences Centre (RAISE), e-Science Institute, and Center for Studies in Demography and Ecology (CSDE), where she leads interdisciplinary projects connecting computational methods with social science and ethical frameworks through European collaborations and industry deployments including WebSummit trials.
Richard Carmichael is a Research Fellow at Imperial College London's Centre for Environmental Policy (Faculty of Natural Sciences), where he co-leads the Behaviour Change in Energy and Environment Policy (BEEP) Research Network. He holds affiliate positions at the Energy Futures Lab, Grantham Institute, and Intelligent Systems and Networks group, while serving as a Clean Growth Leadership Network Fellow and member of the British Psychological Society's Climate and Environmental Crisis Steering Group. His educational background includes: MA Hons (First Class) in Psychology (University of Dundee) MSc (Distinction) in Critical Social Psychology (Lancaster University) PG Cert (Distinction) in Coaching Psychology (University of East London) PhD in Social Psychology (Loughborough University, 2002) Dr. Carmichael's research centers on action-oriented behaviour change for Net Zero transition , with expertise spanning energy systems (heat pumps, EVs, demand response), sustainable diets, and data-driven digital tools. His work emphasizes peer-to-peer learning mechanisms , co-benefits tracking , and positive feedback loops to drive high-impact shifts in household behaviour across transport, heating, and food systems. Recent projects focus on real-world heat pump performance measurement and smart tariff engagement through open-source digital platforms. Analysis of his publication record reveals a strong trajectory toward policy-implementation research , with increasing emphasis on measurable real-world impacts of behaviour change interventions. His work bridges psychological theory with engineering systems, particularly in demand-side flexibility and consumer-facing climate solutions, while maintaining consistent focus on equity dimensions of the energy transition. Scientific recognition includes: FRSA (Fellow of the Royal Society of Arts) Clean Growth Leadership Network Fellowship His grant portfolio demonstrates significant government engagement, including UKERC Flexible Fund projects (Win-Window: Tracking co-benefits), BEIS-funded initiatives (Smarter Tariffs, Heat Pump Ready Programme), and Climate Change Committee contributions. As Proposer/Co-Investigator on multiple interdisciplinary projects with Energy Systems Catapult and Ofgem, he specializes in translating behavioural insights into operational policy frameworks through trials like the Low Carbon London dynamic pricing experiment. Within Imperial College, he actively shapes the BEEP Research Network's agenda while contributing to Energy Futures Lab and Grantham Institute initiatives, particularly through briefing papers presented to Parliament and regulators on heat pump transitions and fair Net Zero financing.
Sabrina Casucci is an Assistant Professor in the Department of Industrial and Systems Engineering at the University at Buffalo (SUNY). She holds a PhD in Industrial & Systems Engineering (2015), an MBA (2004), and a BS in Materials Science and Engineering (1998). Her research focuses on data-driven healthcare solutions, precision health, health disparities, and aging-related cognitive decline. She has pioneered methods for optimizing emergency department operations, blood product inventory management, and integrating behavioral health in underserved regions. Research Highlights Developed the TILE-12 index to predict living environment transitions in older adults Created the CoBIL framework for decentralized blood inventory management Advanced machine learning models predicting low-value healthcare utilization in heart failure patients Awards 2022 SUNY Chancellor’s Award for Excellence in Teaching 2022 UB Innovations in Teaching Award 2019 SEAS Best Teaching Faculty Her work bridges engineering methodologies with healthcare challenges, focusing on operational efficiency, equity, and technology-driven solutions for vulnerable populations. Active in policy advocacy, her research has influenced practices in emergency medicine, rural healthcare access, and chronic disease management.
Suiping Zhou is a Professor at the School of Science and Technology, Middlesex University. He previously held academic positions at Teesside University (UK) and Nanyang Technological University (Singapore). He earned his B.Eng., M.Eng., and Ph.D. in Automatic Control from Beijing University of Aeronautics and Astronautics, followed by engineering experience at Beijing Simulation Center and a postdoctoral fellowship at the Weizmann Institute of Science (Israel). Research Focus: Large-scale distributed interactive applications (e.g., MMOGs), parallel/distributed systems, and human behavior representation in modeling and simulation. Key Contributions: Over 100 peer-reviewed publications on topics including QoS optimization, crowd simulation, distributed virtual environments, and agent-based modeling. Technical Expertise: OpenFlow, genetic programming, convolutional neural networks, and simulation consistency models. His work bridges theoretical modeling with practical applications in virtual environments and networked systems.
Adriano Festa is an Associate Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at Politecnico di Torino, Italy. His work bridges applied mathematics, numerical analysis, and engineering applications, with strong affiliations across multiple engineering colleges including Mechanical, Aerospace, Automotive, and Mathematical Engineering. He actively contributes to teaching and research in numerical methods and control theory. His research focuses on numerical analysis , partial differential equations , optimal control , and mean-field games , with applications in traffic modeling, opinion dynamics, and sustainable urban systems. He is a member of the Numerical Analysis and Scientific Computing research group at DISMA, and his work aligns with ERC sectors in control theory, optimization, and numerical analysis, as well as UN SDGs 9, 11, and 14. The recent publications highlight a strong trend in game-theoretic modeling , Hamilton-Jacobi equations , and hybrid control systems , particularly applied to crowd behavior, traffic routing, and geometric tessellations. These works reflect an interdisciplinary approach combining rigorous mathematics with real-world engineering challenges. He has served as Guest Editor for Journal of Dynamics and Games (2021) and contributed to the editorial series Lecture Notes in Mathematics (2017). He has also participated in the organizing committees of conferences such as W-Math (2022) and Rencontres Normandes sur les EDP (2019). Adriano Festa has held past research positions at the University of L'Aquila (2018–2019), Ecole Polytechnique Palaiseau (2013), and the University of Rome "La Sapienza" (2009–2010). He teaches a wide range of courses, including Numerical Methods for Nonlinear Hyperbolic Equations , Advanced Engineering Thermodynamics/Numerical Modeling , and Linear Algebra and Geometry across various engineering programs. He is also a member or invited member of several academic collegia at Politecnico di Torino. His research is conducted within the Numerical Analysis and Scientific Computing group at DISMA, focusing on projects related to nonlinear hyperbolic equations, optimal control, and numerical differential modeling.
Carlo Lipizzi is a Teaching Associate Professor and Associate Chair for Corporate and Continuing Studies at the Department of Systems and Enterprises, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology. He also serves as Director of the Center for Complex Systems and Enterprises and holds strategic advisory roles within the College of Professional Education. His educational background includes a PhD in Systems Engineering from Stevens Institute of Technology (2015), an Executive MBA from IMD (1996), and an MS in Mathematics from Università degli Studi La Sapienza, Rome (1981). Lipizzi's research focuses on applied Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning (ML), and Data Science, with applications in decision support, sustainability, and social media analytics. He develops AI agents using Large Language Models and designs systems for extracting decision-critical information from unstructured text. His work bridges computational methods with real-world challenges in defense, education, finance, and public health. The 15 most recent publications reflect a consistent trajectory in NLP and AI, emphasizing social media analysis, bias mitigation in LLMs, sustainability project matching, and formal analysis of technical specifications. Keywords span AI, NLP, Machine Learning, and Computational Social Science, with subfields including affective polarization, disaster response, funding recommendation, and ethical AI. Scientific Awards: Stevens Award for Teaching Excellence (2024) Lipizzi has served as Principal Investigator (PI) or Co-PI on multiple externally funded projects totaling over $5 million, including grants from DoD/Picatinny Arsenal, Defense Acquisition University, Siemens Financial Services, and Accenture. These projects focus on NLP-based risk evaluation, contract classification, educational credentialing, and AI-powered career coaching. He actively mentors graduate students and leads interdisciplinary research teams. His institutional service includes membership in key committees such as RETCOM, GCC, and faculty hiring panels. He leads the Center for Complex Systems and Enterprises and has co-developed academic programs including the Graduate Certificate in Computational Social Science. His teaching portfolio includes core courses in Data Science, AI & ML, and NLP at the graduate level.
Cathrynne Henshall is a Lecturer in Equine Science at Charles Sturt University, affiliated with the School of Agricultural, Environmental and Veterinary Sciences. Her work integrates equine behavior, cognitive and affective neuroscience, and animal welfare science. PhD, Charles Sturt University M.An.Sci, Adelaide University Diploma in Organic Agriculture BA(Hons), unspecified institution Her research focuses on understanding equine cognition and emotion, particularly how stress and exercise influence learning and behavior. She applies insights from neuroscience to improve horse training, welfare assessment, and human-horse interactions. Key areas include emotion detection in racehorses, welfare in rodeo horses, and the use of automated technologies in behavioral research. The 15 most recent articles reflect a strong trend toward interdisciplinary research combining behavioral observation, physiological monitoring, and innovative technology. There is a clear emphasis on developing objective, science-based tools for assessing equine affective states and welfare, with applications in performance, recreation, and ethical management contexts. Professional Recognition: Junior Vice President, International Society for Equitation Science Cathrynne has extensive experience mentoring and teaching students in equine studies and animal welfare. She has supervised research projects and contributed to curriculum development, particularly in integrating neuroscience into equine education. Her interdisciplinary collaborations span Australia and the UK, with funding likely directed toward welfare assessment tools, cognitive studies, and One Welfare initiatives. She is actively involved in research teams focused on developing standardized welfare indicators and affective state models in horses, often using novel methodologies such as remote-controlled vehicles and non-invasive neuroimaging. These teams operate at the intersection of veterinary science, psychology, and agricultural innovation.
