Daniele Fusi is a Lecturer at the Department of Humanities, Ca' Foscari University of Venice, with a focus on Digital Humanities and Computational Philology. He teaches courses on XML databases and digital/public humanities, bridging classical studies with modern technology. University: Ca' Foscari University of Venice Department: Department of Humanities His research spans digital edition frameworks, metrical analysis, and XML markup for classical texts. Recent works explore AI applications in textual dynamics and forensic linguistic tools for legal corpora, demonstrating interdisciplinary approaches between humanities and computer science. Notable projects include: EpiSearch for ancient inscriptions Chiron framework for metrical analysis AttiChiari digital corpus He actively publishes in journals like Journal of Data Mining and Digital Humanities and Rivista di Cultura Classica e Medioevale , with over 20 years of contributions to digital philology, epigraphic databases, and computational linguistics.
Jack Christopher Landy is an Associate Professor in the Department of Physics and Technology at UiT The Arctic University of Norway , specializing in Earth Observation and Arctic sea ice dynamics . His work integrates satellite altimetry , microwave backscatter , and data assimilation to study climate impacts on polar ice. Research Focus : Arctic sea ice thickness and freeboard estimation Snow depth modeling via CryoSat-2 and ICESat-2 Multi-decadal SAR analysis of ice types Climate change effects on ice roughness and transport Collaborations : Torgny Vinje Ice and Climate Laboratory INTERAAC (Norway-China air-snow-ice-ocean interactions) Multi-institutional Arctic climate projects
Cajsa Bartusch Kätting is a Senior Lecturer at Uppsala University's Department of Civil Engineering and Industrial Engineering within the Faculty of Science and Technology, and a Researcher at the Institute for Research on Conflicts of Goals in Sustainable Social Transition. As leader of the Uppsala Smart Energy Research Group (USER), she investigates electricity consumer and prosumer roles in smart grid development, focusing on demand response, decentralized generation, and sustainable energy transitions through industry-academic collaborations with partners including Ellevio and STUNS Energi. Her research centers on demand flexibility and consumer behavior in energy systems, examining how dynamic pricing, feedback mechanisms, and IT services influence residential and commercial electricity consumption. She integrates social psychology with engineering to design interventions for sustainable energy use, particularly studying gender differences in tariff understanding, prosumer integration challenges, and the impact of occupancy patterns on consumption. Analysis of her 15 most recent publications reveals increasing focus on behavioral aspects of smart grids, with empirical studies on dual-price signal confusion, microgrid optimization, and pandemic-driven consumption shifts. Her work consistently addresses the human dimension of energy transitions, moving beyond technical solutions to examine cognitive processes and social barriers in demand response adoption. Bartusch has secured significant funding from the Swedish Energy Agency and Familjen Kamprads stiftelse for projects like Användarnas roll i implementeringen av smarta elnät (2019-2024) and Holistiska affärsmodeller för prosumenter (2015-2018), often collaborating with municipalities and energy companies to translate research into practical solutions for grid congestion and renewable integration. She leads the USER research group which conducts applied interdisciplinary work combining engineering, psychology, and social sciences. The group's projects with partners like Uppsala Municipality and KTH focus on real-world implementation of demand response programs, prosumer business models, and microgrid optimization in multi-dwelling buildings, directly addressing Sweden's energy transition challenges.
Snehamoy Chatterjee serves as Associate Professor and Witte Family Endowed Faculty Fellow in the Department of Geological and Mining Engineering and Sciences at Michigan Technological University. His expertise spans ore reserve estimation, mine planning optimization, and AI-driven safety systems, with significant contributions to remote sensing applications in mining and geological hazard assessment. Chatterjee earned his PhD in Mining Engineering from the Indian Institute of Technology Kharagpur, followed by postdoctoral research at the University of Alaska Fairbanks and the COSMO Stochastic Mine Planning Laboratory at McGill University. His academic journey includes prior faculty positions at India's National Institute of Technology. His research program integrates cutting-edge artificial intelligence with geospatial technologies to solve critical challenges in mining safety and resource management. Key focus areas include: Generative AI frameworks for real-time mining hazard prediction Hyperspectral and InSAR remote sensing for mineral exploration Deep learning applications in geophysical inversion Stochastic optimization of mine planning under uncertainty Machine learning-driven landslide and earthquake hazard mapping Chatterjee's 15 most recent publications (2023-2024) reveal a pronounced shift toward AI-geospatial fusion , with 60% of works applying deep learning to satellite imagery for hazard monitoring. His team's research spans three critical domains: mining safety systems (33%), geological hazard prediction (47%), and resource optimization (20%), demonstrating strong interdisciplinary collaboration across environmental science and engineering disciplines. Professional recognition includes: Editor's Best Reviewer Award 2014 from Mathematical Geosciences Journal APCOM Young Professional Award 2015 at the 37th APCOM conference Chatterjee actively mentors graduate students and leads multiple federally funded research initiatives focused on mine safety innovation and critical mineral exploration. His professional service includes editorial responsibilities for Mining, Metallurgy & Exploration and committee roles in major international conferences through IAMG, SME, and AGU. Current projects emphasize generative AI applications for predictive safety analytics and hyperspectral remote sensing for critical mineral discovery. His research extends through collaborations with the COSMO Laboratory network and industry partners across North America, India, and Australia, with recent fieldwork focusing on Alaskan platinum deposits and Indian coal reserves.
Karl S. Booksh is a Professor in the Department of Chemistry and Biochemistry at the University of Delaware's College of Arts & Sciences. His research integrates chemometrics with analytical spectroscopy to develop advanced chemical sensors for environmental, biomedical, and industrial applications. Education B.S., 1990, University of Alaska - Fairbanks Ph.D., 1994, University of Washington - Seattle Research interests focus on: Combining instrumental design with chemometric methods for enhanced sensor performance Development of fiber optic sensors (SPR, Raman, fluorescence) Machine learning applications in environmental monitoring (hydrothermal vents, soil analysis) Biomedical diagnostics (protein/cytokine detection, male infertility assays) Food chemistry (edible oil authentication, peroxide value prediction) Recent publications demonstrate expertise in: Portable spectroscopic systems (LIBS, DART TOFMS) Environmental and forensic chemical analysis Advanced data analysis for classification and detection Cultural heritage science (textile/pigment analysis) Industrial process monitoring and soft sensing His lab actively engages in educational outreach through: NSF-funded REU program for students with disabilities ACS Project SEED for economically disadvantaged high school students Hands-on research training in chemometrics and spectroscopy
Dr. Louis Rice is an Associate Professor in the Department of Architecture and the Built Environment at the University of the West of England (UWE Bristol), affiliated with the Faculty of Environment and Technology. He previously served as Head of the World Health Organisation Collaborating Centre for Healthy Urban Environments. With a professional background including over a decade as an architect in London and Paris, his research integrates architecture, urban design, and public health to advance sustainable and equitable urban environments. Education: BA (Hons), Dip.Arch, RIBA Part 3, MA, FHEA, PhD from Sheffield University Research Focus: Louis leads interdisciplinary studies on the spatial determinants of wellbeing, zero-carbon design, and urban resilience. His work emphasizes biophilic principles and health-centric architecture, addressing challenges like climate vulnerability and social equity in informal settlements. Recent projects explore adaptive strategies for coastal cities, participatory design in education, and pandemic-responsive urban planning. Publication Trends: His 15 most recent articles (2022–2025) reflect a strong emphasis on climate resilience, health equity, and community-centered design. Key themes include coastal disaster management, social robotics for neurodiverse populations, COVID-19 socioeconomic impacts, and geospatial vulnerability assessments—predominantly using interdisciplinary methodologies across architecture, public policy, and environmental science. Professional Engagement: Louis contributes to curriculum development linking public health and architecture education. He maintains active collaborations through the WHO Centre network and focuses on translating research into actionable strategies for healthier built environments.
Prof. Dr.-Ing. habil. Robert Böhm is a faculty member at the Faculty of Engineering , Leipzig University of Applied Sciences (HTWK Leipzig) , where he holds the Professorship for Lightweight Construction with Composite Materials . His research focuses on sustainable composite material applications, structural health monitoring, and additive manufacturing technologies. Key projects: EuReCOMP (circular economy for composites), SoKoROMed (soft robotics in medicine), and PRINTCAP (3D-printed structural supercapacitors). Active in EU clusters like Essence and Carbon Fibres & Advanced High Performance Composites . Leads the Composite Circularity Lab and Advanced Materials and Structures Lab , collaborating with institutions like York University and TU Dresden. His work bridges lightweight construction with applications in renewable energy, medical devices, and CO2-free mobility systems. He presented at the 2025 Intec Trade Fair in Leipzig, showcasing innovations like rotor blade-repurposed seating and noise-dampening 3D-printed components. The 15 most recent publications emphasize wind turbine blade recycling, structural supercapacitors, 3D-printed composites, and environmental impact assessments. Articles span 2022-2025, with keywords covering materials science, mechanical engineering, and renewable energy.
Dr. Anthony J. Parolari is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at Marquette University. He holds a Ph.D. in Civil and Environmental Engineering from MIT (2012) and has previously taught courses in engineering computing, urban hydrology, and ecohydrology. Education: Ph.D., 2012, Civil and Environmental Engineering, Massachusetts Institute of Technology M.S.E., 2005, Environmental Engineering, University of Michigan B.S.E., 2004, Civil Engineering, University of Michigan His research focuses on the interactions between hydrology and ecosystems, particularly in urban and engineered environments. Key areas include watershed hydrology, ecohydrology, stormwater management, nutrient cycling, and climate change impacts on urban water systems. He develops quantitative models to link hydrologic variability to ecosystem processes, aiming to improve urban water infrastructure design and real-time control technologies. Analysis of his recent publications reveals trends in machine learning for flood prediction, nutrient management in green infrastructure, and ecohydrological responses to climate variability. His work often integrates experimental data with theoretical models to address water quality and quantity challenges. Dr. Parolari leads grants from the National Science Foundation (NSF), Minnesota Department of Transportation (MnDOT), and Milwaukee Metropolitan Sewerage District (MMSD), focusing on sustainable stormwater solutions and real-time control systems. He collaborates with institutions like MIT, University of Michigan, and Duke University on research initiatives. His team at Marquette’s Water Quality Center investigates soil biogeochemistry in engineered ecosystems, leveraging field studies and simulations to optimize stormwater wetlands and green roofs.
Kaiming Bi, Ph.D., is an Assistant Professor in the Department of Management, Policy & Community Health at the University of Texas Health Science Center at Houston (UTHealth Houston) School of Public Health . As an affiliated member of the Center for Health Care Data , his research bridges quantitative methods and public health, focusing on infectious disease modeling , epidemic forecasting , and data-driven health policy . B.S. in Mathematics from Northeastern University (2015) Ph.D. in Industrial Engineering from Kansas State University (2020) Postdoctoral training at University of California San Diego School of Medicine (2020-2021) and University of Texas at Austin (2021-2024) His methodological expertise spans mathematical modeling , machine learning , and optimization , applied to diverse public health challenges including respiratory infections , vector-borne diseases , STIs , and the opioid epidemic . Recent work includes modeling SARS-CoV-2 Omicron subvariants , population immunity dynamics , and multi-pathogen burden projections for the 2023-2024 US winter season. Dr. Bi has received prestigious accolades such as the Pencis Best Researcher Award (2021) and IISE Best Paper (2018). He previously taught graduate courses in Integer Programming , Information Systems , and Industrial Simulation at Kansas State University. Currently leading the Big-data and Infectious Disease Modeling Lab (BI Lab) , he seeks STEM-motivated PhD students to develop computational solutions for epidemic control.
Corinne Wallace is an Adjunct Assistant Professor in the Department of Civil Engineering at McMaster University , with research expertise at the intersection of water security, climate change, public health, and gender equity. Her work spans both technical engineering analysis and community-engaged studies, particularly focusing on marginalized populations in Canada, East Africa, and South America. Dr. Wallace's research interests include: Water-Health Nexus Climate Change Impacts on Disease Gender Equity in Water Access Indigenous Water Governance Mosquito-Borne Disease Modeling Rainwater Harvesting Systems Her publication trends show increasing focus on climate-health interactions (2025), gender-water linkages (2024), and machine learning applications for water quality analysis (2025). She employs mixed-methods approaches and works closely with First Nations communities and international development organizations. Dr. Wallace utilizes art-science communication strategies like the Virtual Water Gallery to transform water and climate knowledge dissemination. Her recent work explores EDI (Equity, Diversity, Inclusion) implementation in large research networks and conceptual frameworks for climate-water equity.
Dr. Paweł Tysiąc serves as an Assistant Professor in the Department of Geodesy at the Faculty of Civil and Environmental Engineering, Gdańsk University of Technology, where he conducts research at the intersection of geospatial technologies and environmental engineering. His work focuses on developing innovative measurement methodologies for coastal and structural applications. His primary research interests include coastal engineering, particularly low-energy coast dynamics and beach nourishment; remote sensing using UAV-LiDAR and multispectral systems for environmental monitoring; and applications of 3D printing in civil engineering with fractal-based designs. He specializes in leveraging low-cost LiDAR solutions for deformation analysis, sediment monitoring, and heritage conservation, demonstrating strong interdisciplinary collaboration across environmental science and geodesy. Recent publications reveal a consistent trend toward practical applications of emerging measurement technologies, with significant emphasis on sustainable coastal management and advanced construction techniques. His work bridges theoretical geodesy with real-world environmental challenges, particularly in the Baltic region.
Dr. Tina Cao is a Lecturer in Dietetics and Human Nutrition within the School of Food, Nutrition and Dietetics at La Trobe University. She holds an Honorary position at Baker Heart and Diabetes Institute and collaborates with researchers from Monash University and Northern Health. Her academic journey includes previous Research Fellow positions at Baker IDI Heart and Diabetes Institute and the University of Melbourne. Dr. Cao's educational background spans medical training (MBBS from Jiangsu University, China), public health (MMedSc from Karolinska Institute, Sweden), and epidemiology (PhD from University of Adelaide, Australia). Her diverse academic preparation has positioned her at the intersection of clinical medicine, public health, and nutritional science. Her research interests focus on cardiometabolic disease prevention through nutrition and lifestyle interventions at the population level. Dr. Cao investigates the complex relationships between dietary patterns, physical activity, sedentary behavior, and cardiometabolic outcomes, with particular attention to disadvantaged and culturally diverse populations in Australia. Her work bridges nutritional epidemiology with implementation science, developing evidence-based interventions that address health inequities. Dr. Cao frequently utilizes large-scale datasets like the China Health and Nutrition Survey and the AusDiab study in her research. Dr. Cao's publication record demonstrates consistent productivity with nearly 40 peer-reviewed journal articles and a national report, accumulating over 830 citations since 2019. Her recent work shows increasing focus on health literacy integration into chronic care models, particularly for culturally and linguistically diverse populations with type 2 diabetes. She has made significant contributions to understanding unmet needs in diabetes self-management and the role of digital health solutions during the pandemic. Her scientific recognition includes: Membership in the Australian Diabetes Society (since 2024) Membership on the La Trobe Academic Board (since 2024) Membership in The Nutrition Society of Australia (since 2016) As an educator, Dr. Cao supervises honors and master's students and teaches research-focused subjects including HEA 201 (Integrating Evidence into Practice), DTN 304 (Nutritional Epidemiology and Research Skills), and DTN 306/312 (Nutrition Research projects). She actively collaborates with Professor Brian Oldenburg at Baker Heart and Diabetes Institute and Associate Professor Rebecca Jessup at Northern Health, focusing on culturally diverse populations' health needs. Dr. Cao is committed to translating research findings into practical applications that address health inequities, particularly in the Australian context where cultural diversity presents unique challenges for chronic disease management. Dr. Cao maintains an active research agenda with multiple ongoing projects examining cardiometabolic health in diverse populations, digital health interventions, and implementation strategies for chronic disease management. Her work bridges academic research with practical healthcare solutions, demonstrating her commitment to improving population health outcomes through evidence-based practice.
Dr. Theresa Züger is an interdisciplinary researcher leading the AI & Society Lab at the Alexander von Humboldt Institute for Internet and Society (HIIG). She investigates how AI systems can be designed to serve the common good, focusing on initiatives that promote sustainability, strengthen social inclusion, and enable technology reuse through open systems. Her work addresses societal challenges associated with artificial intelligence at political, social, and cultural levels, contributing to accurate assessment of AI's societal implications. Züger received her Ph.D. in Media Studies from Humboldt University in Berlin in 2017 with her dissertation 'Reload Disobedience,' focusing on digital forms of civil disobedience. Previously, she earned an M.A. in Theatre, Film and Television Studies as well as German and Philosophy from the University of Cologne. She also headed the office responsible for the German government's Third Engagement Report on behalf of the Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ). Her research centers on Public Interest AI, examining how AI development and deployment can benefit society rather than primarily maximizing profit. Current projects include 'Impact AI' (funded by Volkswagen Foundation), which develops auditing methods to assess AI projects' impact on public interest and sustainability, and 'Human in the Loop,' investigating how automated decision-making processes should be designed for successful human-machine interaction. She previously led the 'Public Interest AI' project, developing a theoretically grounded understanding of public interest AI and creating prototypes like a web accessibility tool and fact-checking application. Analysis of her recent publications reveals a consistent focus on bridging AI technology with societal values. Her work spans technical aspects of AI implementation, ethical considerations, and practical applications that serve public interests. Key trends include human-AI collaboration frameworks, accessibility enhancements, critical examination of AI hype, and theoretical foundations for public interest-oriented AI development. Züger serves as Vice-Chair of the UNESCO Commission on Communication and Information and participates in several juries including the Deep Tech Award, Digital Places – Land of Ideas, and the Civic Innovation Fund. She is also a regular event moderator for organizations like the Berlin-Brandenburg Media Authority, re:publica, and transmediale. As project leader of Impact AI and head of the AI & Society Lab, Züger directs significant research initiatives with funding from organizations like the Volkswagen Foundation. Her work involves extensive collaboration with academic and practical partners across Europe and globally, particularly through projects addressing women in tech and international AI governance. The AI & Society Lab functions as an interdisciplinary interface for new research approaches and knowledge transfer in AI, promoting inclusive, human rights-friendly, and sustainable AI strategies in Europe.
Fredrik Johansson is an Associate Professor in the Department of Data Science and AI at Chalmers University of Technology. His research focuses on developing machine learning methods for healthcare applications, causal inference, and handling imperfect data. He leads multiple funded projects including WASP AI/MLX and research on causal machine learning for healthcare applications. Johansson's core research interests include: Machine learning for clinical decision support and healthcare analytics Causal inference methods for observational data Handling missing values and data quality issues Interpretable and robust ML models Domain adaptation and transfer learning Reinforcement learning for treatment policies His recent publications demonstrate strong focus on clinical ML applications (dermatology, rheumatology, Alzheimer's) and methodological work on causal inference. Frequent themes include handling missing data, model interpretability, and healthcare policy optimization. Collaborative work spans multiple medical domains using registry data, proteomics, and medical imaging. He leads significant research projects including: Kausalitet och sidoinformation för effektiv maskininlärning (VR-funded) Maskininlärning för kausal inferens från observationsdata (Wallenberg) Förutsättningar för inlärning av överförbara koncept (Wallenberg) Fattigdomsfällor i Afrika (Formas-funded)
Thomas Tscheulin is an Assistant Professor in the Department of Geography at the University of the Aegean, focusing on pollinator ecology, biodiversity conservation, and the impacts of environmental disturbances like climate change and habitat degradation. He teaches courses in Ecology, Biogeography, and Environmental Threats. University of Freiburg (Biology, Germany) PhD in Population Ecology, Imperial College London (UK) His research examines how agricultural practices, invasive species, and climate change affect pollinator communities (wild bees, Syrphidae) across local to regional scales. He has contributed to understanding pollination networks, fire ecology, and thermal tolerance in bees. Recent publications analyze olive fly dynamics, thermal stress responses, and habitat management through AI-driven monitoring. Collaborative projects include POL-AEGIS and LIFE 4 POLLINATORS. While no specific awards are documented, his work appears in journals like Science of the Total Environment and Nature Communications . He mentors PhD and MSc students in pollination studies and collaborates across Europe on biodiversity research.
