Diego Sevilla Ruiz is an Associate Professor at the University of Murcia's Faculty of Informatics, Department of Computer Engineering and Technology, where he leads initiatives in Software Engineering research. He completed his PhD in 2008 on distributed component models (CORBA-LC). His research focuses on database technologies, particularly schema evolution in NoSQL and relational databases, model-driven engineering approaches, and unified metamodeling. Recent work develops Skiql (a schema query language), Athena (schema definition language), and methodologies for referential integrity in graph databases. His publications advance database abstraction techniques, schema migration frameworks, and automated tools for database management and modernization.
Dr. Stig Hellebust is a Lecturer in Physical Chemistry at the School of Chemistry, University College Cork (UCC), Ireland. Based in Room 206B of the Kane Building, he can be contacted at s.hellebust@ucc.ie or +353 214902680. His research focuses on atmospheric chemistry, environmental monitoring, and advanced data analysis techniques for understanding air quality and pollution sources across Ireland. Dr. Hellebust's research interests span several key areas of environmental chemistry and data science: Atmospheric observational data analysis, particularly high-dimensional datasets collected over extended time periods Application of multivariate statistical methods and machine learning for environmental data interpretation Source apportionment of atmospheric pollutants using receptor modeling techniques Development of algorithms for processing large environmental datasets Application of clustering and classification techniques to identify pollution sources Fourier-transform infrared spectroscopy data analysis His extensive publication record demonstrates expertise in air quality monitoring, particularly focusing on PM2.5 sources, urban pollution dynamics, and health impacts. He frequently employs advanced statistical methods including principal component analysis (PCA), positive matrix factorization (PMF), and various machine learning approaches to extract meaningful information from complex environmental datasets. His work bridges atmospheric science, public health, and data analytics, with significant contributions to understanding Ireland's air quality challenges. Dr. Hellebust has secured substantial research funding from multiple sources including the Environmental Protection Agency (EPA), Health Research Board, Science Foundation Ireland, and European Union programs. His current major projects include "Sources of PM2.5 in the Air of Irish Towns" (2024-2027, €233,796.00) and "Impact of Agricultural Emissions on Rural and Urban Air Quality" (2022-2025, €119,700.00), demonstrating his leadership in addressing critical environmental challenges. He currently supervises doctoral student Rósín Eileen Byrne and has previously supervised Eimear Heffernan who completed her PhD in 2022 on "Spatial and temporal variation of ambient carbonaceous aerosol in Ireland and strategies for effective monitoring of source contributions." His mentorship extends to interdisciplinary research connecting chemistry, environmental science, and public health. Dr. Hellebust is an active member of UCC's Atmospheric and Environmental Chemistry research group, collaborating with colleagues across Ireland and internationally on air quality monitoring and pollution source identification projects. His work has significant policy implications for urban planning, public health interventions, and environmental regulation in Ireland and beyond.
Lijing Xin is an Assistant Professor at the Department of Physics and a research staff scientist at the Center for Biomedical Imaging (CIBM) at Ecole polytechnique fédérale de Lausanne (EPFL), Switzerland. She teaches courses on Biomedical Imaging and Translational MR Neuroimaging, while also contributing to academic administration. PhD in Physics (2010, EPFL) Master's Project (2002-2005) on MRI instrumentation Her research focuses on high-field magnetic resonance spectroscopy (MRS) and MRI for studying brain function and neurological diseases. She develops novel acquisition and quantification methods for 1 H, 13 C, and 31 P nuclei, particularly on 7T clinical platforms . Her work bridges preclinical and clinical research , with collaborations in psychiatry to explore pathophysiology and biomarkers for disorders like schizophrenia and mood disorders. Recent publications include studies on epilepsy , Alzheimer's disease , brain energy metabolism , and neurochemical profiling using advanced MRS and deep learning for psychosis classification. She has contributed to RF coil design , macromolecule suppression , and metabolic pathway analysis across multiple disciplines. She advises PhD students and collaborates on interdisciplinary projects involving neuroimaging hardware , metabolic disease research , and psychiatric biomarker identification . Her lab at EPFL CIBM-AIT develops cutting-edge techniques for high-resolution brain metabolism analysis and clinical translation .
Ron Wehrens is a researcher at Biometris , part of Wageningen University & Research. His work spans interdisciplinary applications of machine learning, metabolomics, and computer vision in agricultural and biological sciences. Developing statistical tools in R (e.g., aaresponse , Kohonen packages) Applying AI/ML to problems in floriculture, animal behavior, and nutritional science Collaborating on projects involving remote sensing, plant phenotyping, and metabolic health studies Research Interests include metabolomics, deep learning for agricultural robotics, and behavioral analysis in livestock. His recent work focuses on self-organizing maps for data clustering and trait estimation in plants. Scientific Awards : No explicit awards mentioned in the text.
Mikael Hedeland is a full Professor at the Department of Medicinal Chemistry (Analytical Pharmaceutical Chemistry), Uppsala University , where he has worked since 1999. He holds a PharmD and was appointed Docent (associate professor) in 2007. Visiting Professor (2013) Adjunct Professor (2015) Full Professor (2018) His research focuses on bioanalysis of drugs and metabolites using chromatography-mass spectrometry , with applications in doping control , pharmacokinetics , and mass spectrometry methods for botulinum neurotoxin detection . He leads multidisciplinary collaborations with experts in biopharmaceutics , veterinary medicine , and environmental toxicology . Recent publications emphasize LC-MS/MS method development for PROTACs , lipidomics in cancer therapy , and metabolomics of arginine derivatives in pregnancy complications . His work includes environmental biodegradation studies using Trametes versicolor and chiral separations via supercritical fluid chromatography .
Dr. Ruth Godfrey is an Associate Professor in Biomedical Sciences at Swansea University Medical School, Faculty of Medicine, Health and Life Science. With over a decade of academic experience, she has progressed from Lecturer (2011-2017) to Senior Lecturer (2017-2020) and currently serves as Associate Professor (2020-present). Her work bridges academic research and practical applications, supporting R&D for multinational companies, government agencies, and SMEs through her expertise in analytical technologies. Dr. Godfrey's research focuses on analytical technologies and method development for medical and chemical analysis, with particular emphasis on environmental medicine, mass spectrometry, and sample preparation technology. Her work spans pharmaceutical analysis, environmental monitoring, and clinical applications, with a strong focus on developing practical analytical solutions for complex real-world problems. She has made significant contributions to the QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) methodology, adapting it for environmental and clinical matrices, and has developed educational tools like the 'Periodic Table' for liquid chromatography separation modes and mass spectrometry instrumentation. Her publication record demonstrates consistent productivity across environmental analysis, mass spectrometry, and chromatography. The trends in her work show increasing focus on environmental applications of analytical techniques, particularly regarding pollutant monitoring and sustainable analytical methods. While maintaining strong foundations in mass spectrometry fundamentals, her recent work has expanded into green chemistry applications and the intersection of analytical science with environmental sustainability. Dr. Godfrey has received significant recognition through her professional designations: Chartered Chemist Chartered Scientist Fellow of The Higher Education Academy She has successfully secured diverse research funding from UKRI, EU programs, industry partners, and charities, totaling over £2 million across multiple projects. Her supervision record includes PhD, MRes, and MPhil students, with current projects focusing on environmental and health impacts of chemical pollutants. Beyond her university role, she actively contributes to the scientific community as Secretary of the RSC Analytical Methods Committee's Instrumental Analysis Expert Working Group and as an RSC Chemnet Ambassador promoting science education.
Dr. Samuel Ssekajja is a Lecturer in the School of Mathematics at the University of the Witwatersrand, Johannesburg, South Africa. He holds a PhD in Mathematics from the University of KwaZulu-Natal, Pietermaritzburg. His research focuses on differential geometry and mathematical relativity, particularly exploring the geometry of lightlike subspaces, null hypersurfaces in Lorentzian manifolds, and submanifolds in semi-Riemannian spaces. He has published extensively on topics such as mean curvature properties of submanifolds, generalized Raychaudhuri equations, and CR-lightlike geometries in indefinite manifolds. Key research interests include Null hypersurface evolution via mean curvature Isoparametric null hypersurfaces Quasi-generalized CR-structures in indefinite manifolds Geometric analysis of SAC half-lightlike submanifolds Dr. Ssekajja's work spans theoretical advancements in geometric analysis with applications to relativity, including studies on lightlike submanifolds' curvature properties and their implications in semi-Riemannian geometry. His publications demonstrate expertise in integrating differential geometry with mathematical physics concepts like gravitational collapse and geometric flows.
Professor Valerie O'Donnell is a distinguished academic at Cardiff University's School of Medicine, where she serves as Professor of Biochemistry and Co-Director of the Systems Immunity Research Institute (SIURI), established in 2016 with £4.5M funding. She leads the internationally recognized LIPID MAPS project (www.lipidmaps.org) and Cardiff Lipidomic Facility, positioning her at the forefront of lipidomics research. With over two decades of academic leadership, she previously served as Director of the Division of Infection and Immunity (2017-2020) and Dean of Research for the School of Medicine (2012-2014). Professor O'Donnell earned her Ph.D. in Biochemistry from the University of Bristol (1990-1993) working with Prof. OTG Jones and Dr. PJ England of SmithKline Beecham Pharmaceuticals, following her B.Sc. in Human Nutrition & Dietetics (Hons. 2.1) from University of Dublin, Trinity College, Ireland (1985-1989). Her academic journey includes prestigious fellowships at the University of Alabama at Birmingham and University of Bern, Switzerland, before establishing her career at Cardiff University. Her research focuses on using mass spectrometry to discover and characterize bioactive lipids made by circulating vascular cells that regulate immune defense and blood clotting. Over the past 20 years, her lab discovered large families of enzymatically-oxidized phospholipids (eoxPL) and has worked extensively on their structures, signaling actions in thrombosis and innate immunity. Current research examines the role of bioactive lipids in vascular inflammation including abdominal aortic aneurysm, cardiovascular disease, dementia and wound healing. Analysis of her recent publications reveals a strong emphasis on lipidomics methodology development, clinical applications of lipid research, and the role of specific lipids in disease mechanisms. Her work spans analytical chemistry, cardiovascular biology, immunology, and clinical translation, with particular focus on procoagulant lipids, oxylipins, and specialized pro-resolving mediators. The research demonstrates increasing interdisciplinary collaboration and methodological standardization efforts in the lipidomics field. Professor O'Donnell's scientific achievements have been recognized with numerous prestigious awards: 2023: Honorary Officer of the Order of the British Empire (OBE) for services to biochemical research 2020: Fellow of the Academy of Medical Sciences 2019: Journal of Lipid Research Lectureship Award 2016: Wolfson Research Merit Award, Royal Society 2015: Fellow of the Learned Society of Wales 2013: Fellow of the Royal Society of Biology She currently serves as Principal Investigator for British Heart Foundation and Wellcome Trust funding, while also participating as co-Investigator for Medical Research Council (MRC), EU (Marie Curie ITN), and Welsh Government projects. Her panel memberships include Population Systems Medicine Board (MRC) and Biomedical Resources Committee (Wellcome Trust). With a Google Scholar H-index of 52, she has been included in UK national research assessments RAE2002, RAE2008, and REF2014. Professor O'Donnell leads the Systems Immunity Research Institute, a strategic research institute at Cardiff University, and directs the Cardiff Lipidomic Facility as part of the LIPID MAPS consortium. Her laboratory continues to make significant contributions to understanding how bioactive lipids regulate vascular inflammation and coagulation, with recent work focusing on the role of specific phospholipids in conditions ranging from cardiovascular disease to SARS-CoV-2 infection. In 2024, LIPID MAPS became an ELIXIR Core Data Resource and a member of the Global Biodata Coalition, with an MRC Partnership Grant commencing funding.
Salvador Garrigues Mateo is a Professor at the University of Valencia in the Faculty of Chemistry and Department of Analytical Chemistry . He leads the research group SOLINQUIANA (Solutions & Innovation in Analytical Chemistry) , focusing on green analytical chemistry and innovative spectroscopic methods. Education: PhD in Analytical Chemistry from the University of Valencia (1993) with a thesis on Quantitative analysis by Fourier Transform Infrared Spectrometry . Research Interests: Green Analytical Chemistry, Fourier Transform Infrared Spectroscopy (FTIR), Ion Mobility Spectrometry (IMS), environmental and biomedical analysis, sample preparation techniques, and forensic chemistry. His recent publications highlight trends in environmental analysis (wastewater drug monitoring, bioaerosol assessment), forensic chemistry (illicit drug detection, synthetic cannabinoids), and green sample preparation (natural sorbents, microextraction techniques). He also contributes to food analysis (oil degradation, essential oil authentication) and biomedical applications (urinalysis for drug exposure, serum diagnostics). His work emphasizes green chemistry principles , focusing on reducing solvent consumption, developing non-invasive testing protocols, and applying chemometrics for improved analytical accuracy. He has published extensively on spectroscopic methods for both environmental and clinical applications, often combining FTIR with ion mobility spectrometry for enhanced detection capabilities. Contact: salvador.garrigues@uv.es
Dr. Gordana B. Krstic is an Assistant Professor at the Department of Organic Chemistry, Faculty of Chemistry, University of Belgrade. Her research focuses on Phytochemistry, Spectroscopic methods (NMR, MS, IR), Chromatographic methods, and Chemical weapons analysis. She has been actively involved in international research projects funded by the Organisation for the Prohibition of Chemical Weapons (OPCW) and the European Commission. Education: B.Sc. in Chemical Sciences (2007-2011), University of Belgrade. M.Sc. in Chemical Sciences (2011-2012), University of Belgrade. Ph.D. in Chemical Sciences (2012-2019), University of Belgrade. Her scientific work spans the development of analytical methods for OPCW proficiency tests, metabolomics in schizophrenia research, and PFAS challenges in Serbia. She has published extensively on natural products from Euphorbia species and ground beetle secretions, employing LC-MS and NMR techniques. Her projects address chemical weapons verification, biomarker discovery, and environmental contamination. Dr. Krstic is a member of the Serbian Chemical Society and has served on committees for teaching quality improvement and faculty promotion. She teaches courses on structural instrumental methods and metabolomics, and her work integrates spectroscopy, chromatography, and metabolomics for chemical profiling and bioactivity studies.
Dr. Thomas Durant is an Associate Professor of Laboratory Medicine at Yale School of Medicine with a secondary appointment in Biomedical Informatics & Data Science. He serves as Medical Director of Chemical Pathology and Laboratory Informatics at Yale-New Haven Hospital and Associate Director for the ACGME Chemical Pathology Fellowship. His dual expertise bridges clinical laboratory practice with cutting-edge informatics research. Dr. Durant's educational background includes: MD from University of Connecticut, School of Medicine (2015) MA in Physical Therapy from Quinnipiac University BA in Health Sciences from Quinnipiac University (2008) Winchester Clinical Microbiology Fellowship at Yale-New Haven Hospital (2019) Residency and Chief Residency at Yale-New Haven Hospital (2018) Board certified in Clinical Pathology (2018), Medical Microbiology (2019), and Clinical Informatics (2022), Dr. Durant's research focuses on practical applications of data science in laboratory medicine. His work centers on clinical informatics, quality care initiatives, and artificial intelligence applications including machine learning for automated image classification, quantum computing in healthcare, and laboratory data analytics. He investigates stream processing of interface data for sample identification and develops innovative data management technologies to improve laboratory operations and patient care. Analysis of Dr. Durant's publication record reveals a strong progression from traditional laboratory medicine into advanced computational methods. His recent work demonstrates expertise in ensemble learning for detecting IV fluid contamination, quantum computing applications, AI model verification protocols, and biomarker analysis for acute kidney injury prediction. The research spans multiple disciplines including clinical chemistry, informatics, and data science, addressing critical challenges in diagnostic medicine. Dr. Durant maintains extensive collaborations with Yale researchers including Wade Schulz (14 publications), Joe El-Khoury (10 publications), Harlan Krumholz (5 publications), and Richard Torres (4 publications). These partnerships support research on laboratory informatics, AI applications, and quality improvement initiatives that enhance diagnostic accuracy and healthcare delivery. As Medical Director of Laboratory IT Services, Dr. Durant oversees the technological infrastructure supporting laboratory operations at Yale-New Haven Hospital. His leadership in the Chemical Pathology Fellowship program trains future specialists, while his research continues to push the boundaries of how data science transforms diagnostic medicine.
Richard Brown is a Distinguished Professor of Electrical & Computer Engineering and holds appointments in the School of Computing at the University of Utah. Previously serving as Dean of the College of Engineering from 2004 to 2024, he leads research in chemical sensors, neural interfaces, and high-performance microelectronics. His work spans biomedical engineering, materials science, and quantum physics, with over 90 publications and 50+ patents. Awards include the Rosenblatt Prize, Governor's Medal for Excellence, and Fellowships from National Academy of Inventors and IEEE. His teams develop implantable neural probes, electrochemical sensors, and low-power circuits for medical and industrial applications. Education: BS (1976), MS (1976) in Electrical Engineering from Brigham Young University; PhD (1985) in Electrical Engineering from University of Utah. Research Interests: Chemical sensors, neural interfaces, microelectrode arrays, electrochemical systems, high-temperature electronics, and low-power VLSI design. Key Contributions: Pioneered microfluidic sensor systems, developed novel electrocorticography techniques for brain-computer interfaces, and advanced process variation mitigation in nanometer-scale CMOS circuits. Holds leadership roles in IEEE, ASEE, and National Institutes of Health-funded projects. Awards & Honors: Rosenblatt Prize for Excellence (2018) H. E. Thomas Presidential Endowed Deanship (2020) IEEE Fellow (2014) National Academy of Inventors Fellow (2015) Grants & Collaborations: Over $5M in grants from NSF, NIH, IBM, and industry partners. Major projects include the Wireless Integrated Microsystems ERC, chemical sensor arrays for medical diagnostics, and neuroprosthetic systems. Labs/Teams: Leads the Brown Lab for Advanced Sensors and Circuits, collaborating with biomedical engineers, material scientists, and industry partners to translate research into clinical and commercial applications.
Lennart Martens is a Professor of Systems Biology at Ghent University and serves as Group Leader and Associate Director at the VIB-UGent Center for Medical Biotechnology . He leads the Computational Omics and Systems Biology Group (CompOmics), focusing on Machine Learning applications in high-throughput omics data. His research involves developing AI-driven algorithms for proteomics data analysis, including tools like DeepLC for retention time prediction and MS2Rescore for improved peptide identification. He contributes to open-source proteomics software and FAIR data practices. Fellow of the Royal Society of Chemistry Prometheus Award for Research Excellence (Ghent University, 2014) Juan Pablo Albar 'Proteomics Pioneer' Award (European Proteomics Association, 2015) He has authored over 220 research papers, co-authored two Wiley textbooks on mass spectrometry bioinformatics, and organized Dagstuhl Seminars on computational proteomics. His editorial roles include membership on the boards of Molecular & Cellular Proteomics , Molecular BioSystems , and PeerJ .
Monika Harnisz is a Professor at the Department of Water Protection Engineering and Environmental Microbiology, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn. With over 114 publications and 2822 Google Scholar citations, her research focuses on environmental microbiology, antibiotic resistance, and wastewater treatment challenges. Current Position: Full Professor Institutional Email: monika.harnisz@uwm.edu.pl ResearchGate Profile: Profile Link Research Focus Her work addresses antimicrobial resistance (AMR) as a critical public health threat through: Wastewater resistome analysis Carbapenem-resistant pathogens Environmental transmission pathways Biogas plant contamination Chemical and microbial pollutant interactions Disinfection technology optimization Recent studies involve WHO AWaRe antibiotics monitoring , digestate safety assessment , and environmental impacts of pharmaceuticals using advanced analytical methods (SPE-LC-MS/MS, metagenomics). Academic Contributions Supervised 2 doctoral students Contributed to 3 promoted doctorates Developed selective media for Bacteroides isolation Advocated for improved wastewater surveillance policies Technical Expertise Antibiotic residue analysis Molecular resistance characterization Metagenomic sequencing applications Biogas process optimization Environmental pathogen tracking Water quality assessment
Caterina Durante is an Associate Professor in the Department of Chemical and Geological Sciences at the University of Modena and Reggio Emilia. She specializes in Analytical Chemistry (Chimica analitica) and teaches instrumental analytical chemistry courses for both undergraduate Chemistry programs and Master's Degree Courses in Chemical Sciences. Her research interests span multiple areas of analytical chemistry with a strong focus on method development and optimization. She has made significant contributions to food analysis and authentication, particularly for traditional Italian products like Aceto Balsamico Tradizionale di Modena and Parmigiano Reggiano cheese. Her work integrates advanced analytical techniques including chromatography, mass spectrometry, and various spectroscopic methods with sophisticated chemometric approaches for data analysis. Her recent publications (2023-2025) demonstrate a clear research trajectory focused on developing robust analytical methods for complex matrices, with applications in food traceability, environmental analysis, and pharmaceutical quality control. The publications reveal a strong emphasis on chemometrics, particularly multivariate data analysis techniques like PCA, PLS, and PARAFAC, which she applies to interpret complex analytical data from various spectroscopic and chromatographic techniques. She actively collaborates with researchers across multiple institutions, evidenced by her numerous co-authored publications spanning food science, environmental chemistry, pharmaceutical analysis, and green chemistry applications. Her work often addresses practical analytical challenges in industrial and food production settings, with several studies focusing on real-time process monitoring and quality assessment.
