Giovanni Sparacino is a Full Professor at the Department of Information Engineering, University of Padova, Italy. He holds teaching responsibilities for courses in Medical Informatics and Biological Data Analysis, while actively contributing to PhD supervision and departmental leadership roles including Vice-Head (2016/17) and Vice-Director of the PhD School in Information Engineering. Education: MSc in Electronics Engineering (summa cum laude), University of Padova (1992) PhD in Bioengineering, Polytechnic of Milan (1996) His research focuses on Biomedical Signal Processing, Computational Neuroscience, and Physiological Systems Modeling. Key contributions include glucose dynamics modeling, nonlinear signal analysis, and advanced algorithms for continuous glucose monitoring sensors. He has extensive experience in multimodal neuroimaging (EEG, fNIRS) and parameter estimation techniques. Notable research trends include: Development of machine learning approaches for diabetes management Integration of EEG and fNIRS for cognitive workload assessment Creation of wearable biomedical devices for foot pressure monitoring Advancements in physiological modeling and deconvolution techniques He has led the Bioengineering track PhD program since 2012 and contributed to establishing a web-based platform for multimodal neuroimaging data analysis.
Alexandra Brookes serves as a Lecturer in the Department of Psychology at Aberystwyth University, where she coordinates the Peer Leaders program. Holding an MPhil in Psychology and a BSc in Criminology with Applied Psychology (First Class Honors), she is currently finalizing her PhD thesis utilizing eye-tracking technology to analyze decision-making in online fraud victimization scenarios. Her research expertise centers on forensic psychology with specialized focus on victimization dynamics and cybercrime prevention. Key investigation areas include emotional responses to fraud, individual vulnerability factors, and technological interventions for fraud detection. The fingerprint analysis of her work reveals strong connections to Fraud Victimization (67%), Communication Psychology (62%), and Technology-Social Sciences interfaces (71%). Her publication timeline shows consistent output since 2017, with significant contributions in 2019 and 2021 including high-impact systematic reviews on internet fraud victimization. Media engagement has been substantial, with 7 press appearances in 2021 alone covering text/email scams and vaccine fraud prevention, reaching 12 news outlets and policy references. As Peer Leaders Coordinator, she oversees student mentorship initiatives within the Psychology Department. Her research methodology integrates mixed-method approaches, particularly examining technology-mediated feedback systems in educational contexts alongside cybercrime behavioral analysis.
Jorge Riera Romaní is Professor at the Blanquerna Faculty of Psychology and Educational and Sports Sciences, Universitat Ramon Llull, where he leads the Research Group in Pedagogy, Society and Innovation with ICT Support (PSITIC). His research focuses on educational success, social capital, and social vulnerability, with particular attention to school-territory collaboration and the impact of socioeducational programs. His work bridges educational theory with practical applications for addressing social inequalities in educational contexts. His research fingerprint prominently features Spain (100%), Spanish Social Sciences (86%), Social Capital (66%), Educational Success (59%), Barcelona (52%), Social Participation (41%), School Success (39%), and Information and Communication Technology (37%). His recent publications demonstrate a consistent focus on social vulnerability assessment, qualitative research methodologies in education, and innovative approaches to educational transformation through civic engagement. His research often employs interdisciplinary frameworks combining social sciences, education, and information technology, with significant attention to practical applications for vulnerable populations. Social Vulnerability Assessment in Iberoamerican contexts Educational Ecosystems and SchoolWeavers framework development Impact of Covid-19 on children in poverty situations Youth transition processes and developmental support Civic hackathons for educational transformation Riera Romaní actively supervises doctoral students through programs like FPU (Grants for the Training of University Professors), mentoring emerging scholars in educational research. He leads significant research projects including RELEXIT (analyzing local educational networks for academic success) and PSITIC (Pedagogy Research Group), demonstrating his commitment to building research capacity in educational sciences. He collaborates extensively with researchers across Spain, particularly in Barcelona, and his work connects with broader educational networks examining school success, social participation, and educational innovation. His research group includes numerous collaborators across educational sciences, indicating strong interdisciplinary connections within the university.
Melinda Piket-May is a Professor and Associate Chair for External Relations and Outreach in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder. Her work focuses on electromagnetics, RF engineering, and microwave systems, with a strong emphasis on computational electromagnetics and FDTD modeling. She leads research initiatives in signal integrity, antenna design, and high-frequency circuit analysis. Her research interests span advanced topics such as quasi-TEM behavior in microstrip lines, RF fingerprinting for counterfeit device detection, and non-destructive PCB measurement techniques. She has pioneered methodologies for improving FDTD simulations in spherical and cartesian grids, addressing challenges in numerical dispersion and boundary conditions. Her work bridges theoretical electromagnetics with practical applications like electromagnetic compatibility and power integrity. Recent publications highlight trends in high-speed data transmission, novel measurement techniques, and computational efficiency in electromagnetic simulations. Her contributions have advanced both academic and industrial applications in RF systems and high-frequency circuit design. She actively engages in educational outreach and pedagogical innovation through her role as Associate Chair. Melinda’s lab (ECEE 189) focuses on experimental validation of theoretical models, emphasizing collaboration between simulation and measurement techniques. Her work has been supported by industry partnerships and government grants, though specific funding details are not specified here.
Nesli Erdoğmuş is an Assistant Professor in the Department of Computer Engineering at the Izmir Institute of Technology (IYTE) . She joined the faculty in 2016 after completing postdoctoral research at Idiap Research Institute in Switzerland and a PhD in Multimedia Communication from EURECOM and Telecom ParisTech, France. Her research focuses on biometric recognition, face and fingerprint authentication, and cybersecurity. Education: B.Sc. and M.Sc. in Electrical and Electronics Engineering, Middle East Technical University (2005, 2008) Ph.D. in Multimedia Communication, EURECOM & Telecom ParisTech, France (2012) Research Interests: Dr. Erdoğmuş leads the CSIGB research group, specializing in anti-spoofing techniques for biometric systems, 3D face recognition, and synthetic data generation for fingerprints. Her work addresses challenges in secure authentication, including spoofing attacks using 3D masks and deep learning-based intrusion detection. Grants & Projects: Synthetic Production of Latent Fingerprints (TÜBİTAK UİDB 2515) Landscape Image Recognition and Turkish Adaptation (TÜBİTAK BİDEB 2236) Labs/Teams: CSIGB Research Group, focusing on biometric systems and computer vision applications.
Selina Wang is a Professor and Department Vice-Chair in Food Science and Technology at the University of California, Davis. Her research focuses on chemical quality, purity, and nutritional parameters in fruit and vegetable post-harvest processing, with an emphasis on olive and avocado oils. She leads the Wang Laboratory, specializing in developing detection methods for adulteration, optimizing processing techniques, and identifying quality markers. Dr. Wang holds a Ph.D. in Physical Organic Chemistry from UC Davis (2008) and a B.A. in Chemistry from UC Santa Cruz (2003). Her work bridges academia and industry, collaborating with growers, processors, and government agencies to address food quality challenges. Her research interests include olive oil quality assessment, phenolic compound analysis, and the development of rapid analytical tools. Recent work explores antimicrobial applications of olive byproducts and oxidation mechanisms in plant oils. She has authored over 150 publications, with a focus on food chemistry, analytical methods, and agricultural product quality. Notable awards include the 2024 Timothy L. Mounts Award from the American Oil Chemists Society and the 2021 Excellence in Research Award from UC Davis. Her extension activities include educational workshops and one-on-one consultations on food quality standards.
Lowell Stott is a Professor of Earth Sciences at the University of Southern California (USC), specializing in climate science, paleoclimate, and geochemistry. His research focuses on understanding natural climate variability, particularly the mechanisms driving atmospheric CO2 fluctuations during glacial cycles and the role of geologic carbon reservoirs. He leads the USC Climate Change Research Group, equipped with advanced mass spectrometers for isotopic analysis, and investigates topics such as radiocarbon anomalies, ocean ventilation, and hydrothermal carbon release. Education: Advanced degrees in Earth Sciences (details not explicitly stated). Affiliations: USC Earth Sciences Department, USC Climate Science Program. Key research interests include the deglacial CO2 rise, Pacific Ocean carbon dynamics, and the impact of climate change on hydrological systems. His lab analyzes isotopic records from marine sediments and tree rings to trace historical climate patterns. Current projects explore decadal drought predictability and storm track shifts in North America. Publications emphasize radiocarbon-based reconstructions, carbon cycle mechanisms, and interdisciplinary climate modeling. Collaborations involve global datasets and advanced instrumentation, including clumped isotope analysis and cavity ring-down spectroscopy. Lab facilities include three stable isotope ratio mass spectrometers, ICP-AES, and Picarro systems for high-precision measurements of δ18O, δD, and elemental compositions. Ongoing work addresses geologic carbon reservoir interactions and their implications for future climate scenarios.
Nicholas A. Kurniawan is an Associate Professor in the Soft Tissue Engineering and Mechanobiology group at the Department of Biomedical Engineering, Eindhoven University of Technology (TU/e). He is also a member of the Institute for Complex Molecular Systems (ICMS). His research focuses on understanding cellular behavior in different physical environments through the creation of precisely controlled biomimetic cellular environments. He received his PhD in 2012 from the National University of Singapore, where he studied the role of matrix viscoelasticity in cancer metastasis. Following this, he conducted postdoctoral research as a Marie Curie Fellow at AMOLF in Amsterdam, investigating hierarchical structure-property relations in the cytoskeleton and extracellular matrices. In 2015, he joined TU/e to establish his research group. Dr. Kurniawan's research is highly interdisciplinary, spanning biophysics, cell biology, protein polymers, biomechanics, and soft matter. His work centers on creating biomimetic cellular environments at multiple scales—from 2D micropatterns to 3D extracellular matrices and bioreactors—where physical and mechanical cues to cells can be precisely controlled. These in vitro platforms enable systematic breakdown of the origins of basic cellular behavior, such as orientation, migration, and differentiation. The overarching goal is to apply these insights to direct cell response in vivo, for example to promote tissue regeneration or slow down disease progression. His fingerprint includes significant contributions to Tissue Engineering (100%), Fibroblast research (70%), Rigidity studies (63%), Multiscale Engineering (63%), Cell Function (55%), Biological Tissue Engineering (52%), Microenvironments (49%), and In Vitro studies (46%). His recent publications (2023-2025) demonstrate a strong focus on cellular mechanobiology, particularly how substrate properties (stiffness, topography, adhesion) influence fibroblast behavior. There is growing emphasis on dynamic and photoresponsive biomaterials, organoid engineering, and computational approaches to tissue analysis. His work shows a clear trajectory toward increasingly sophisticated control of cellular microenvironments and deeper understanding of how physical cues translate to cellular responses. ERC Starting Grant for 'Control cell communication and tissue regeneration' (2019) Dr. Kurniawan has supervised 34 students and research projects. He led the 'Advaessel' research project (2020-2021) focused on advanced materials processing for regenerating blood vessels. His research is supported by significant funding that enables cutting-edge investigations into cellular mechanobiology and tissue engineering. The Soft Tissue Engineering and Mechanobiology group employs a highly collaborative approach, working with researchers across disciplines to develop biomimetic cellular environments that bridge fundamental science with clinical applications in regenerative medicine. The research group maintains state-of-the-art facilities for biomaterial fabrication, cell culture, and mechanical characterization. They employ advanced techniques including UV-photopatterning, two-photon printing, and dynamic substrate topographies to create precisely controlled cellular microenvironments. Their work bridges fundamental cell biology with translational applications in cardiovascular tissue regeneration and disease modeling.
Dr. Stephen Merkel is a Researcher in the Department of Earth Sciences at the Faculty of Science, Vrije Universiteit Amsterdam. His work focuses on archaeological science and historical metallurgy, particularly using lead isotope analysis to trace material provenance in medieval and ancient contexts. Research Interests: His studies explore topics such as Slavic lead mining, early Rus’ trade networks, and the provenance of silver and non-ferrous metals in medieval Europe and the Islamic world. He employs advanced analytical techniques like laser ablation ICP-MS for isotopic and elemental analysis. Projects: He contributed to the project 'From plates to bones? An inquiry into ancient lead intake and the applicability of the lead isotope system for tracing ancient human mobility' (2024). His research also involves collaborations on Viking Age silver circulation and Byzantine-Umayyad ceramic production. Publications: Merkel has authored over 19 peer-reviewed articles, including studies on Early Islamic silver dirhams, medieval lead glass bangles, and the origins of Rus' non-ferrous metals. His work often bridges archaeology and chemistry to understand ancient resource utilization and trade dynamics.
Jos van Hillegersberg serves as Full Professor in Industrial Engineering & Business Information Systems, demonstrating extensive scholarly contributions with 201 research outputs including 62 articles and 82 conference contributions. His academic profile shows consistent productivity across two decades with significant publication volumes in peak years like 2015 (19 outputs). Research interests center on Supply Chain Management (73% fingerprint weight), Enterprise Architecture, Business Information Systems, and emerging domains like Low-Code Development and AI applications. His work bridges computer science with practical business engineering challenges, particularly in supply chain optimization and digital transformation across multiple sectors. Recent publication trends (2023-2025) reveal strong interdisciplinary focus: agricultural data privacy systems, AI-driven healthcare solutions for diabetes, public sector DevOps optimization, and construction logistics control towers. These works consistently address real-world implementation challenges while maintaining theoretical rigor in enterprise modeling and systems engineering. With an h-index of 28 and 2900+ Scopus citations, Professor van Hillegersberg actively shapes academic discourse through leadership roles including chairing the 11th International Workshop on Enterprise Applications in Finance (FinanceCom 2022). His supervision of 32 students demonstrates commitment to developing next-generation researchers in business information systems.
Dr. Olga Taran is a Lecturer at the Department of Health Sciences and Technology at ETH Zurich, specializing in machine learning and biomedical data science. She holds a PhD in Computer Science from the University of Geneva, with a focus on machine learning for complex problems. Her postdoctoral research at the Biomedical Data Science (BMDS) Lab involves developing data-driven metrics to improve outcomes in Spinal Cord Injury (SCI) clinical trials, addressing challenges in treatment evaluation. Her work aims to enhance clinical decision-making and accelerate therapy development. Olga's research also extends to anti-counterfeiting technologies using machine learning, focusing on copy detection patterns and authentication systems. Her research interests span machine learning applications in healthcare, deep learning methodologies, and the integration of digital twins for fraud detection. She has contributed to advancements in radio astronomical image reconstruction and self-supervised learning techniques. Olga's publications reflect a strong emphasis on interdisciplinary solutions, combining machine learning with fields like astronomy, cybersecurity, and biomedical science. Notable achievements include pioneering work on authentication systems using digital blueprints and physical fingerprints, as well as stochastic digital twin models for copy detection patterns. She actively collaborates on projects addressing the limitations of traditional clinical trial metrics and exploring machine learning's role in combating adversarial attacks on authentication systems.
Dr Georgios S. Bekos serves as a Lecturer in Marketing at Alliance Manchester Business School, bringing expertise from an integrated master's in Production Engineering & Management, an MSc in International Business & Management, and a PhD in Business & Management with marketing specialization. His academic credentials include: Integrated Master's in Production Engineering & Management MSc in International Business & Management PhD in Business & Management (Marketing) Dr Bekos's research centers on strategic marketing frameworks, examining organizational resources, strategic decision-making processes, and implementation controls. His work extends into emerging domains including metaverse applications, organizational agility dynamics, and value creation mechanisms, with strong alignment to UN Sustainable Development Goals for economic innovation and industry advancement. The fingerprint analysis of his publications reveals significant contributions to Value Creation, Innovation Adoption, and Firm Performance metrics within organizational contexts. Recent publications (2023-2025) demonstrate a cohesive research trajectory focused on strategic marketing capabilities as drivers of competitive advantage. Key patterns include the interplay between implementation capability and metaverse adoption, architectural marketing capabilities' impact on organizational agility, and rigorous scale development for strategic change measurement. His work bridges theoretical frameworks with practical applications in dynamic business environments. Actively supervising PhD candidates, Dr Bekos contributes to academic mentorship while advancing research in marketing strategy implementation. His publication record in premier journals like Journal of Marketing and Industrial Marketing Management indicates substantial scholarly engagement, though specific grant details remain undisclosed in available documentation.
Dr. Dominik Schumacher is affiliated with the Department of Environmental Systems Science at ETH Zurich, where he contributes to the Professorship for Land Climate Dynamics. His research focuses on climate dynamics, extreme weather events, land-atmosphere interactions, and the propagation mechanisms of droughts and heatwaves. He has conducted impactful studies on the attribution of extreme climate events to anthropogenic influences, including analyses of heatwaves in India/Pakistan, Europe, and North America, as well as drought dynamics in drylands. His work emphasizes the role of land feedbacks and atmospheric moisture/heat transport in shaping climate extremes. Key research themes include the detection of human fingerprints in extreme events, the development of moisture and heat tracking frameworks, and the evaluation of climate model limitations. Dr. Schumacher's publications span peer-reviewed articles and presentations, addressing both methodological advancements and real-world climate impacts. His contributions bridge climatology, hydrology, and environmental systems science, with a focus on translating scientific insights into actionable understanding for climate adaptation strategies. His academic role as a researcher at ETH Zurich reflects his commitment to advancing interdisciplinary climate science, particularly in contexts requiring rapid attribution analysis and vulnerability assessment. He collaborates with global research networks to enhance climate model accuracy and improve societal preparedness for extreme weather events.
Christopher Saunders is a Professor of Statistics and affiliate faculty in Natural Resource Management at South Dakota State University (SDSU). He holds a Ph.D. in Statistics from the University of Kentucky, an M.S. in Statistics from the same institution, and a B.S. in Mathematics from California State University, Chico. His professional experience spans roles at The MITRE Corporation, George Mason University, and as a visiting professor at the University of Salzburg. Saunders specializes in statistical learning theory, forensic identification of source problems, and biometric analysis, with applications in forensic science, pattern recognition, and large-scale simulations. His work emphasizes quantitative methods for evidence interpretation, algorithmic bias mitigation, and forensic data validation. Research interests include statistical methods for forensic source attribution, hierarchical data modeling, and the application of machine learning to forensic challenges. Saunders has contributed to foundational studies on error rate assessment in forensic evidence, probabilistic evidence evaluation, and the development of automated systems for handwriting and biometric analysis. His interdisciplinary work bridges statistics, computer science, and forensic science, addressing practical problems in criminal investigations and national security. Educations: Ph.D. in Statistics, University of Kentucky, 2008 M.S. in Statistics, University of Kentucky, 2006 B.S. in Mathematics, California State University, Chico, 2002 Visiting Scientist, FBI Labs Forensic Science Research, 2013 Notable awards include the 2020 Outstanding Researcher Award and 2016 Young Investigator Award from the Jerome J. Lohr College of Engineering. His grants include leadership on NIH-funded projects and collaborations with MITRE Corporation, National Institute of Justice, and other federal agencies. Saunders has advised graduate students in forensic statistics and led teams developing statistical frameworks for evidence interpretation and forensic validation. His research has advanced methodologies for explosive material analysis, handwriting examination, and forensic database design. Current projects focus on algorithmic fairness in forensic systems and improving the accuracy of biometric and trace evidence evaluation through advanced statistical modeling.
Arne Diercks serves as Associate Research Professor at the University of Southern Mississippi with expertise in Geological Oceanography, Hydrography, and Ocean Engineering. His research investigates marine particle dynamics including formation, abundance, settling characteristics, distribution, and fate using digital imaging technologies and autonomous underwater vehicles. Research Interests: Focuses on particle transport processes from continental shelves to deep-sea environments, examining how biological decomposition, physical aggregation, and grazing affect marine snow aggregates before final burial in sediments. His work frequently addresses impacts of events like the Deepwater Horizon oil spill on sediment redistribution and deep-sea ecosystems. Publications Analysis: Recent articles demonstrate consistent focus on hydrocarbon contamination pathways, sediment resuspension mechanisms, and ecosystem recovery in the Gulf of Mexico. Methodological approaches combine geophysical imaging, isotopic tracing, and long-term sediment monitoring to reconstruct depositional histories. Research Projects: The Search for Norlindo - World War II shipwreck investigation Resuspension and Deposition of Deepwater Horizon Hydrocarbons ECOGIG-2 (Ecosystem Impacts of Oil and Gas Inputs to the Gulf)
