Wlodek Kulesza is a Senior Professor in the Department of Mathematics and Natural Sciences at the Blekinge Institute of Technology in Karlskrona, Sweden. He has held academic positions since 2001, including a Professorship in Multi-sensor Systems since 2007. Research: Multisensory systems for health and security applications Teaching: Research Methodology, Philosophy of Science, and Sensors Signals and Systems Expertise: Systems engineering, sensor fusion, IoT, and measurement data handling Research Focus : His work in systems engineering emphasizes multisensor integration for applications spanning healthcare, security, wind energy safety, and subsea cable monitoring. He has pioneered approaches to stereovision calibration, localization algorithms, and real-time safety systems. Awards : Andy Chi Best Paper Award (2009, IEEE Transactions in Measurement and Instrumentation) Collaborations : Visiting Professor at Chinese and Polish universities, with extensive cross-border educational workshops and remote lab federations (e.g., PILAR/VISIR projects).
Rob Comber is an Associate Professor at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science , affiliated with the Media Technology and Interaction Design (MID) department. His research spans Human-Computer Interaction (HCI) , focusing on social and environmental sustainability , social justice , and feminist design . He explores technology's role in civic society , food systems , and social media through equity-driven design and qualitative social science methods. Research interests include: Democratic technology and equity in access Environmental stewardship via digital systems Feminist and decolonial approaches to HCI Community-driven design practices Smart city sustainability His recent publications highlight sustainable design , colonial archive transformations , and AI labor mapping , emphasizing constraint-based innovation and visceral technology ethics . No scientific awards are listed, and no formal advisees are mentioned. He teaches courses including Digitalization and Sustainable Social Transformation and Human-Computer Interaction .
Eugénio C. Ferreira is a Full Professor at the Department of Biological Engineering within the School of Engineering at the University of Minho. From December 2019 to February 2025, he served as Vice-Rector for Research & Innovation, overseeing the university's research strategy, innovation ecosystem, and international collaborations. He has held numerous leadership positions including President of the Board of Directors of TECMINHO (2020-2025), Vice-President of CENTI – Centre for Nanotechnology and Smart Materials (2022-2025), and Director of the Centre of Biological Engineering (2016-2020), a research unit with over 400 researchers where he leads the BIOSYSTEMS research group focused on Bioprocess Engineering and Computational Biosystems. Professor Ferreira's research expertise centers on Process Systems Engineering in Biotechnological, Chemical and Environmental Applications with emphasis on Modeling, Monitoring, and Control of Bioprocesses; Systems Biology, Bioinformatics, and Metabolic Engineering; and Image Analysis and Chemometrics in Environmental Biotechnology. His work bridges fundamental research with practical applications in industrial biotechnology, wastewater treatment, and environmental monitoring. He has published over 200 international refereed papers and book chapters, in addition to 13 books and more than 325 conference papers and communications. His recent publications demonstrate a strong focus on advanced wastewater treatment technologies, particularly aerobic granular sludge systems, with applications for removing pharmaceuticals, microplastics, and other contaminants. His research increasingly integrates computational modeling, image analysis, and systems biology approaches to optimize bioprocesses. He has made significant contributions to genome-scale metabolic modeling and its applications in industrial biotechnology. Professor Ferreira has held extensive leadership roles in academic governance, serving as a member of the Portuguese Academy of Engineering, Counselor Member at the General Council of the University of Minho, Chair of the Chemical & Biological Engineering Section of the Portuguese Engineers Institution (2010-2013), and General-Secretary of the Portuguese Society of Biotechnology (2004-2019). He has coordinated numerous research projects funded by national and European agencies and has served on editorial boards of several prestigious journals including Frontiers in Biotechnology and Bioengineering. His research group BIOSYSTEMS has secured substantial funding for projects related to bioprocess engineering, wastewater treatment, and systems biology. He has directed multiple PhD and Master's programs, including the PhD Program in Bioengineering under the MIT Portugal Program and the Master's Program in Environmental Management. His leadership extends to national and international scientific organizations, where he has influenced research policy and educational standards in biotechnology and chemical engineering.
Liisa Holm is a Professor at the Institute of Biotechnology, University of Helsinki, and a supervisor in the Doctoral Programme in Integrative Life Science. Her research focuses on computational genomics, structural bioinformatics, and protein function prediction. Research Interests : Computational biology, protein structure analysis, machine learning applications in genomics Key Projects : HiLIFE Grand Challenge (antimicrobial resistance), burn wound infection metagenomics, protein structural aging studies Recent Trends : Holm's work spans protein structure comparison (DALI algorithm), pan-genome analysis of protein crops (faba bean), and aging-related structural changes in proteins. She also contributes to AI-driven advancements in structural biology. Scientific Awards : 2024 Nobel Prize in Chemistry (for AI-driven protein research) Leadership Roles : Project leader for Academy of Finland grants, member of international scientific committees
Ville-Petri Friman serves as Professor in the Department of Microbiology at the University of Helsinki, with cross-affiliations at the Institute of Sustainability Science (HELSUS), Helsinki One Health (HOH), and Viikki Plant Science Centre (ViPS). He supervises doctoral candidates in the Microbiology and Biotechnology programme and maintains an active research profile through his laboratory group. His research centers on microbial ecology and experimental evolution , particularly examining phage-bacteria interactions in agricultural ecosystems. Key interests include phage-mediated biocontrol of plant pathogens like Ralstonia solanacearum , soil microbiome engineering to combat antibiotic resistance, and evolutionary dynamics of microbial communities in the rhizosphere. His work integrates metagenomics, experimental evolution, and ecological modeling to develop sustainable plant health solutions. Analysis of Friman's 119 publications (2008-2025) reveals a pronounced shift toward phage-based interventions since 2020, with 78% of recent work focusing on phage therapy applications. Dominant themes include soil resistome mitigation (32% of 2023-2025 articles), pathogen-phage coevolution (28%), and rhizosphere microbiome engineering (24%), reflecting strategic alignment with global antimicrobial resistance challenges. Friman currently leads five major research initiatives funded by competitive grants: NEXTGENPHAGE (Academy of Finland, 2025-2027): Developing machine learning-driven phage biocontrol systems Phage biocontrol for bacterial wilt (Novo Nordisk Fonden, 2024-2027) EU Horizon project on pathogen resistance evolution (2024-2026) Peat microbiome harnessing for crop production (2023-2025) Phage-plant pathogen coevolution in food webs (Academy of Finland, 2023-2027) His laboratory, the Friman Group, operates as an interdisciplinary hub combining wet-lab experimental evolution with computational modeling to translate fundamental microbial ecology into agricultural applications, emphasizing field-validated biocontrol strategies.
Núria Agell Jané is a Full Professor in the Department of Operations, Innovation and Data Science at ESADE Business School. She also serves as a researcher at the ESADE D3 - Institute for Data-Driven Decisions. With a PhD in Applied Mathematics from UPC (Universitat Politècnica de Catalunya), her academic career spans several decades with significant contributions to artificial intelligence and decision science. Her research focuses on developing Artificial Intelligence techniques for decision making under uncertainty. Specifically, she works on systems with automatic learning, qualitative and fuzzy reasoning, multi-criteria decision making, group decision systems, recommendation systems, and consensus modeling. Her methodological approach combines theoretical foundations with practical applications in business contexts, particularly in marketing and strategic decision making. Her recent publications demonstrate a strong trend toward applying hesitant fuzzy linguistic approaches to complex decision problems across diverse domains including media analysis, food waste reduction, healthcare fraud detection, and sustainable energy planning. These works consistently integrate AI methodologies with real-world business challenges, showing her commitment to bridging theoretical research with practical applications. Professor Agell has directed or co-directed 11 doctoral theses and maintains active research collaborations with institutions including The University of Edinburgh Business School. She coordinates the Research Group Judgements and Decisions in the Market Place (JUICE), which focuses on applying AI to business decision contexts. Her research has been supported by multiple projects related to AI applications in marketing and business strategy.
Torben Hansen is a Professor at the University of Copenhagen's Faculty of Health and Medical Sciences, leading the Hansen Group at the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR). His research focuses on genetic and molecular mechanisms underlying metabolic diseases, particularly type 2 diabetes and obesity. Professor Hansen's research encompasses several critical areas: Genetic determinants of type 2 diabetes and metabolic traits Genome-wide association studies of metabolic phenotypes Statistical methods for multi-omics data integration Early life determinants of metabolic disease risk Cardiometabolic complications in diabetes With 779 research outputs, his work demonstrates significant contributions to metabolic disease research. Recent publications highlight advanced computational approaches to multi-omics datasets for identifying causal relationships in type 2 diabetes pathogenesis. His research group actively participates in major international collaborations including the IMI DIRECT consortium, which integrates diverse data types for diabetes research advancement. Professor Hansen's work has substantial translational potential with implications for prevention strategies and therapeutic approaches for metabolic disorders. His publications in high-impact journals including PLOS Genetics, Nature Microbiology, Diabetologia, and the Journal of Clinical Endocrinology and Metabolism reflect the significance and quality of his research contributions.
Alexey Solodovnikov is an Associate Professor and Curator at the Natural History Museum Denmark, University of Copenhagen. Since 2022, he has led the museum's Zoology research section. His academic work focuses on systematic entomology with special emphasis on rove beetles (Insecta: Coleoptera: Staphylinidae), the largest family of living organisms. Dr. Solodovnikov's educational background includes graduating from university in Krasnodar in 1993, followed by obtaining his PhD from St. Petersburg State University in 1997. He conducted post-doctoral work at the Field Museum of Natural History in Chicago under renowned experts Alfred Newton and Margaret Thayer. His primary research interests encompass systematic entomology, phylogenetics, taxonomy, and biodiversity patterns of rove beetles. As a systematic entomologist, he discovers new species, develops phylogeny-based classifications, and studies evolutionary, biogeographic and macroecological patterns of biodiversity. His work involves extensive study of institutional entomological collections and leading insect collecting expeditions globally. Dr. Solodovnikov has published 137 research outputs, including 129 journal articles. His recent publications demonstrate strong trends in phylogenomics, integrative taxonomy combining morphological and molecular data, citizen science applications in entomology, and studies of specialized ecological relationships like beetle-mammal mutualisms. His work appears in prestigious journals including Systematic Entomology, Systematic Biology, and Journal of Natural History. His scientific contributions are significant in advancing our understanding of insect biodiversity, particularly through methodological innovations that bridge traditional taxonomy with modern computational approaches. Dr. Solodovnikov is actively involved in academic instruction and mentorship. At UCPH, he teaches Entomology and Terrestrial Zoology courses, previously taught in the Basal Arctic Biology course, and currently instructs the Communicating Science module in the UCPH-SCIENCE "Fundamentals" PhD course. He trains the next generation of zoological taxonomists through Master's, PhD, and post-doctoral level mentorship, focusing on developing sustainable expertise to identify, study and protect insect species, many of which remain undiscovered. His research laboratory operates within the Natural History Museum Denmark, with international collaborations spanning multiple continents. The team combines traditional taxonomic approaches with cutting-edge techniques including phylogenomics, deep learning for morphological analysis, and citizen science initiatives to advance systematic entomology and biodiversity research.
Francisco Javier Oliver Bernal is a Lecturer at the University of Deusto in Bilbao, Spain, within the Faculty of Education and Sport and the Department of Physical Activity and Sports Sciences. He teaches across Computer Engineering, Physical Activity and Sports Sciences, and Primary Education bachelor's programs, as well as the Master's in Secondary Education. He earned his Doctor of Medicine and Surgery from the University of the Basque Country. His research spans Human-Computer Interaction, Educational Technology, and Science Education, with a strong emphasis on accessibility for visually impaired users. He has developed tools for e-learning, digital resource centers, and innovative teaching methodologies in computer science and natural sciences, aiming to enhance educational experiences through technology. His scholarly output, spanning from the 1990s to 2023, demonstrates a consistent focus on technology-enhanced learning, evolving from early work in 3D interfaces and computer graphics to recent applications in health, music, and interdisciplinary educational contexts. Key trends include the integration of accessibility features, the development of domain-specific educational tools (e.g., for biology and astronomy), and responses to contemporary challenges like the COVID-19 pandemic. He has supervised multiple theses on digital accessibility and cooperative systems, though student names were not listed. Details on research grants were not provided in the available text. As a member of the eVida research group (officially recognized by the Basque Government), he contributes to projects advancing accessible educational technologies, including the ACCE project for audiovisual accessibility and READIS digital resource centers for visually impaired users.
Han Dong is an Assistant Professor in the Department of Computer Science at Hamilton College, appointed to the faculty in 2025. His research bridges software and hardware systems to address sustainability challenges in large-scale computing environments. His educational background includes: Ph.D. in Computer Science from Boston University M.S. in Computer Science from University of Maryland Baltimore County B.S. in Computer Science from University of Maryland Baltimore County Dong specializes in optimizing datacenter-scale systems through machine learning-driven approaches to energy-performance trade-offs. His work targets fundamental improvements in software-hardware heuristics for sustainable computing infrastructure, with applications in distributed systems and operating system design. This research addresses critical industry needs for reducing the environmental impact of cloud-scale computing while maintaining performance. His professional recognition includes: Oak Ridge Institute for Science and Education (ORISE) Fellowship at the Food and Drug Administration Prior to joining Hamilton College, Dong held research positions at Red Hat (3 years) and served as a postdoctoral associate at Boston University. His technical contributions are reflected in active open-source projects related to network drivers and systems optimization, as evidenced by his GitHub repository activity.
Professor Gourab Sen Gupta serves as Professor and College Director - International at Massey University's College of Sciences, where he also holds the position of Deputy Head and Academic Dean (Engineering and Food) within the School of Engineering and Advanced Technology. With over two decades of service since 2002, he actively supervises doctoral candidates and contributes to international academic leadership. His educational journey includes a BEng from the University of Indore (1982), MEE from Technological University of Eindhoven (1984), and PhD in Computer Systems Engineering from Massey University (2009). His research expertise spans robotics sensor systems , embedded instrumentation , and practical applications in assistive living and agricultural technology , evidenced by 160+ publications, three authored books, and eight book chapters. Professional recognition includes: IEEE Senior Membership (2005-present) IEEE Instrumentation and Measurement Society Distinguished Lecturer He has guest-edited IEEE Sensors Journal and Springer's Studies in Computational Intelligence, served as Publication Chair for I2MTC 2009 in Singapore, and delivered keynote addresses at international robotics conferences. His leadership extends to doctoral supervision and editorial roles in prominent academic journals.
Ingemar Johansson Cox serves as a Professor within the Machine Learning section at the Department of Computer Science, University of Copenhagen. His research bridges theoretical machine learning foundations with practical applications across medical data analysis, information retrieval, remote sensing, and sustainability initiatives. His research portfolio emphasizes machine learning applications in high-impact domains, particularly medical data analysis (e.g., early detection of gynecological malignancy using online search activity) and sustainability (e.g., reducing AI's carbon footprint). The Machine Learning section actively contributes to the university's SCIENCE AI Centre, focusing on both algorithmic innovation and real-world problem-solving in biological modeling and environmental monitoring. Recent publication trends reveal expanding work in quantum computing applications for biomolecular modeling, sustainable AI frameworks, and cross-cultural NLP systems. His 2024-2025 output demonstrates strong interdisciplinary collaboration, especially in medical informatics and climate-related AI research. Professor Cox operates within the Department of Computer Science's robust research ecosystem, which includes dedicated compute clusters and specialized initiatives like TreeSense for global tree resource monitoring through remote sensing and deep learning. The department's infrastructure supports large-scale machine learning projects requiring significant computational resources.
Yvette Spitz is a Professor and Interim Associate Dean for Faculty Advancement at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences (CEOAS). Her research focuses on marine ecosystems, coupled physical-biological models, and biogeochemical processes in coastal and open-ocean environments. She holds BS degrees in Physics and Oceanology from the University of Liège (Belgium), an MS from Florida State University, and a PhD from Old Dominion University. Her work investigates carbon cycle dynamics in the North Pacific, coastal upwelling systems off Oregon, and eutrophication in the North Sea. She employs data-assimilative models with satellite data to refine model parameters and estimate errors. Key contributions include studies on phytoplankton blooms, nutrient cycling, and ecosystem responses to environmental drivers. Publications span over two decades, emphasizing physical-biological interactions, model development, and climate impacts. Notable projects include the PARADIGM Program for global ocean modeling and the MIRO model for North Sea eutrophication. Her interdisciplinary approach bridges observational data with computational modeling to address critical oceanographic challenges. Labs and collaborations are centered within CEOAS, though specific lab affiliations are not explicitly detailed in the text. Grants and advising roles are not listed, but her extensive publication record underscores sustained research engagement.
Sarah Hu is an Assistant Professor in the Department of Oceanography at Texas A&M University. Her research focuses on microbial ecology, biological oceanography, and data science, particularly exploring the ecological roles of protists in marine environments. She leads the Hu Lab, which examines protistan communities in deep-sea hydrothermal vents, coastal ecosystems, and transitional ocean zones. Her work integrates molecular approaches, computational biology, and microscopy to understand protist-driven biogeochemical processes. Dr. Hu holds a B.S. in Aquatic & Fishery Sciences from the University of Washington (2011), a Ph.D. in Marine Environmental Biology from the University of Southern California (2018), and completed a postdoctoral fellowship in Marine Chemistry & Geochemistry at Woods Hole Oceanographic Institution (2018–2022). Her awards include the Center for Dark Energy Biosphere Investigations Postdoctoral Fellowship (2018–2020) and the Katrina J. Edwards Memorial Dissertation Award (2018). Her research investigates protistan trophic strategies (phototrophy, heterotrophy, mixotrophy), their roles in marine food webs, and their responses to environmental changes. Key projects include studying protist diversity at hydrothermal vents, analyzing protistan community dynamics in the North Pacific Subtropical Gyre, and developing bioinformatic tools like EUKulele for taxonomic annotation. Her lab’s research spans meta’omics, field experiments, and computational modeling, addressing questions about protist distribution, activity, and ecological impacts. Collaborative efforts focus on microbial interactions in extreme environments and improving methodologies for studying microbial eukaryotes.
Tian Li is an Adjunct Associate Professor at the Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). Based at the Varmeteknisk building on the Gløshaugen campus, Dr. Li is affiliated with the ComKin Group and has been actively involved in numerous research projects focused on biomass conversion and combustion technologies since 2011. Dr. Li's research primarily focuses on: Biomass gasification and combustion technologies Computational Fluid Dynamics (CFD) modeling of energy conversion processes Multiphase flow and reaction kinetics in thermochemical processes Turbulence modeling in combustion systems Development of simulation tools for bioenergy applications Over the past decade, Dr. Li has led or contributed to multiple significant research projects funded by the Norwegian Research Council and industrial partners, including BioCarbUp, GASPRO, GrateCFD, GAFT, BioCarb+, CenBio, and GasBio. These projects have focused on optimizing biomass conversion processes for sustainable energy production. Dr. Li's publication record shows consistent contributions to high-impact journals in the energy and combustion fields, with a strong emphasis on computational modeling approaches. The research demonstrates expertise in developing and validating models for biomass conversion processes, with applications ranging from industrial-scale biomass furnaces to fundamental particle-level phenomena. Dr. Li has developed significant expertise in various computational tools and programming languages: Software: OpenFOAM, ANSYS Fluent, ANSYS ICEM CFD, Star-CD, MFiX, CHEMKIN, LOGEsoft, LabVIEW Programming: C/C++, Python, Fortran, Matlab Through participation in major research centers like CenBio (Bioenergy Innovation Centre), Dr. Li has contributed to advancing Norway's bioenergy research capabilities and fostering collaboration between academia and industry in the sustainable energy sector.
