Judith O.E.H. van Laar is an Associate Professor in the Department of Signal Processing Systems at Eindhoven University of Technology (TU/e), and a practicing gynecologist at the Máxima Medical Center. Her research focuses on advancing biomedical technologies to enhance maternal and fetal health monitoring, particularly in detecting congenital defects and labor complications. Education: Master's in Medicine (Radboud University Nijmegen, 2004) PhD in Fetal Autonomic Response During Pregnancy (TU/e, 2012) Specialization in Gynecology (Máxima Medical Center, 2014) Research Interests: Non-invasive fetal monitoring systems Machine learning for cardiotocography analysis Uterine contraction dynamics Artificial intelligence in labor management Technological solutions for preterm birth prediction Key Projects: MEDEIA (2022–2027): Medical Engineering Innovations in maternal-fetal healthcare HASTA (2022–2028): Healthy Ageing through early pregnancy interventions Lab Affiliations: Signal Processing Systems group, Eindhoven MedTech Innovation Center.
Michael Bernitsas is a Professor at the University of Michigan's Department of Naval Architecture & Marine Engineering, part of the College of Engineering. His research focuses on harnessing marine hydrokinetic energy through innovative systems like the VIVACE Converter, which converts energy from water flow without dams or turbines. He leads the Marine Renewable Energy Laboratory, emphasizing scalable, environmentally friendly energy solutions. His work on vortex-induced vibrations (VIV) and flow instabilities has led to breakthroughs in power density and applications ranging from 1 Watt to hundreds of megawatts. Key projects include prototype testing in the St. Clair River and exploration of synergistic cylinder dynamics for enhanced energy capture. Bernitsas' contributions bridge fluid mechanics, mechanical engineering, and sustainable energy, with applications in aquaculture and community resilience. His research themes include turbulence control, nonlinear oscillators, and hybrid energy systems combining currents and waves. He has pioneered methods to mimic fish-school kinematics for optimizing energy extraction while minimizing environmental disruption. Recent work explores low-velocity tidal energy and multi-cylinder array configurations. The VIVACE Converter’s design, validated through extensive experimental and computational studies, demonstrates transformative potential for marine energy harvesting.
Stuart Khan is an Associate Professor in the School of Civil & Environmental Engineering at the University of New South Wales. His research focuses on water quality, risk management, and treatment processes for drinking water, wastewater, and recycled water systems. He has co-authored over 100 peer-reviewed publications and actively contributes to national guidelines like the Australian Drinking Water Guidelines and Australian Guidelines for Water Recycling. Currently, he chairs the Australian Water Association’s Water Recycling Network and serves as vice-chair of the IWA Special Interest Group on Water Reuse. Key research interests include emerging contaminants, chemical contaminant fate, and advanced water treatment technologies. His work emphasizes practical applications, such as optimizing ozone disinfection through Bayesian analysis and assessing bioanalytical tools for recycled water safety. Awards include grants from ATSE/AWRCE and the National Water Commission. His research group’s publications span topics like enantiomeric analysis of pharmaceuticals, N-nitrosamine detection, and fluorescence-based monitoring systems. He advises on water quality and policy through roles with the NHMRC and international collaborations through the TUM-IAS Fellowship (2014–2017).
Dr.-Ing. Karin Schwarzenberger is Group Leader for Interfacial Phenomena at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and since 2020 deputy group leader for the Chair of Transport Processes at Interfaces at TU Dresden. She has been continuously affiliated with TU Dresden’s Faculty of Mechanical Engineering since 2003, advancing from diploma studies through PhD to post-doctoral and leadership roles. Education: Doctoral studies (Dr.-Ing.), TU Dresden, Faculty of Mechanical Engineering, 2010–2015 Thesis: “Experimental Investigations on Stationary Solutal Marangoni Instability” Diploma in Process Engineering, TU Dresden, 2003–2010 Diploma Thesis: “Calculation of Interaction Energies between Fractal Aggregates” Research Interests Karin Schwarzenberger’s work centers on interfacial transport phenomena, pattern formation, and multiphase flows. Key areas include: Interfacial dynamics at liquid/liquid and liquid/gas boundaries Particle–particle and particle–interface interactions Solutal Marangoni instabilities and convective structures Coacervation and complexation of polymers and surfactants Microgravity effects on buoyancy-driven instabilities Her experimental approach combines high-resolution optical diagnostics with numerical simulations to unravel the coupling between mass transfer, surface tension gradients, and hydrodynamic instabilities. Publication Trends Between 2012 and 2025 Schwarzenberger has published more than 30 peer-reviewed articles. Recent work (2022–2025) demonstrates a clear shift toward applied interfacial engineering—surface functionalization of Ti64 alloys, foam fractionation for protein purification, and coacervation-based membrane formation—while maintaining fundamental studies on Marangoni convection and buoyancy-driven instabilities under microgravity. Scientific Awards No specific awards are mentioned in the provided materials. Advising & Funding While the text does not list individual students, her role as group leader at HZDR and deputy chair leader at TU Dresden implies supervision of doctoral researchers and technical staff. Funding is implicitly provided through Helmholtz Association programmes and collaborative projects with TU Dresden. Labs & Teams She heads the Interfacial Phenomena group at HZDR, located in building 310 at Bautzner Landstrasse 400, Dresden. The group operates state-of-the-art optical measurement techniques (PIV, LIF, high-speed imaging) and performs experiments both in the laboratory and under microgravity conditions (parabolic flights).
Jin Yan serves as a Research Fellow at the Weierstrass Institute (WIAS), focusing on advanced research in nonlinear dynamics and quantum many-body systems. His work bridges theoretical physics and applied mathematics, with a particular emphasis on non-equilibrium phenomena, dissipative systems, and complex dynamical behaviors. His research interests span quantum many-body systems, statistical mechanics, and chaos theory. Notable contributions include studies on prethermalization in driven systems, bifurcation dynamics in coupled oscillators, and the application of nonextensive entropy formalisms. His work often explores the interplay between microscopic dynamics and macroscopic behavior in both classical and quantum contexts. Key research directions include analyzing coherent structures in quantum systems, understanding transitions to anomalous dynamics, and investigating correlation properties in Chebyshev systems. His publications reflect a deep engagement with foundational questions in nonlinear physics and statistical mechanics.
Dr. Andreas Streich is a Lecturer at the Department of Computer Science at ETH Zurich. His research focuses on Machine Learning, Data Science, and their applications in fields like medical imaging and signal processing. He teaches courses including Computer Science I, Building ML/AI Applications, and Data Science & Machine Learning. His work spans neural networks, clustering algorithms, and multi-label classification. He has contributed to advancements in medical diagnostics via deep learning and acoustics-based signal processing. No scientific awards or student advisees are explicitly mentioned in the provided texts.
Prof. Dr. Karl Gerald van den Boogaart is Head of the Modelling and Evaluation department at the Helmholtz Institute Freiberg for Resource Technology (HZDR). His work focuses on advancing geostatistical methods, compositional data analysis, and their applications in resource technology, mineral processing, and environmental geochemistry. He holds a leadership role in developing stochastic models for geological systems and has contributed significantly to the field of geometallurgy through interdisciplinary research. His research integrates advanced statistical techniques, such as multivariate analysis and Bayesian methods, with practical applications in mineral exploration, ore separation processes, and environmental assessment. Key areas of interest include the development of compositional data-driven tools for decision-making in resource management and the application of machine learning to materials science challenges. Prof. van den Boogaart has published extensively on topics ranging from geostatistical simulation and particle dynamics to organizational culture modeling. His work emphasizes bridging theoretical statistical advancements with real-world industrial and environmental challenges. Notable contributions include the Georges Matheron Lecturer of the Year 2014 award, recognizing his impactful research in mathematical geosciences. His current projects involve optimizing mineral processing techniques, enhancing ionospheric tomography via geostatistical inversion, and advancing compositional data analysis frameworks. He actively collaborates with academic and industrial partners to translate research into practical solutions for sustainable resource utilization and environmental stewardship.
Héctor Cebolla Boado is a Researcher at the Spanish National Research Council (CSIC) in the Department of Population at the Instituto de Economía, Geografía y Demografía (IEGD). He holds a PhD in Sociology from the University of Oxford (Nuffield College) and the Instituto Juan March in Madrid. His research focuses on the social determinants of child development, migration impacts on education and health, and quantitative methodologies. He has served as a tenured professor at the UNED and visiting professor at universities like Bielefeld, Carlos III Madrid, and Pompeu Fabra. From 2019–2023, he directed the General Innovation and Social Strategy Office in Madrid’s municipal government. His work includes over 80 peer-reviewed articles and collaborative projects on global migration, climate change, and education policy. Key research interests include preschool education’s historical impact, immigrant mental resilience, climate health effects, and transnational educational aspirations. He leads EU-funded projects like EqualStrength (analyzing discrimination and hate crimes) and MIX-EDUC-MIG (examining migration-education strategies). His methods expertise includes longitudinal analysis, causal inference, and mixed-methods approaches. He frequently collaborates with NGOs like Fundación Once and contributes to public debates through media and blogs like Piedras de Papel.
Madison Robertson, PhD, is an Adjunct Professor at Queen’s University and Research Coordinator at the Centre for Studies in Aging and Health at Providence Care. Her academic career includes roles as a kinesiologist, physiotherapy assistant, and program developer, with contributions to national/international research in Health Quality, Aging, and Kinesiology. She holds a PhD (2024), Master’s, and Honours Bachelor’s in Kinesiology from Queen’s University’s School of Kinesiology and Health Studies. Dr. Robertson’s research focuses on aging, mental health in long-term care, diabetes self-management for seniors, Lyme disease education, and sport psychology for female athletes. Her work employs participatory action research, photovoice methodologies, and systematic reviews to address healthcare practitioner training, patient care access, and social determinants of health. Her recent articles highlight innovations in lung cancer rapid assessment clinics, loneliness/depression impacts of spousal separation in long-term care, and gender equity in youth sport psychology. She has led projects across Queen’s School of Nursing, Faculty of Health Sciences, and Kingston Health Sciences Centre, emphasizing interdisciplinary collaboration. Key projects include redesigning diabetes education programs for rural seniors, evaluating Lyme disease training resources for Canadian healthcare providers, and improving palliative care access for lung cancer patients. Her work bridges clinical practice, community outreach, and policy development to enhance health equity and aging services.
Prof. Dr. Zekeriya ALTAÇ is a faculty member at Eskişehir Osmangazi University (ESOGU) since 1993, currently serving as Professor in the Department of Mechanical Engineering within the Faculty of Engineering and Architecture. He has held prominent administrative roles, including Chairman of the Mechanical Engineering Department (2012–2021), Vice President of the University (2007–2011), and Member of the Senate representing Engineering disciplines. His expertise spans Nuclear Reactor Design, Computational Fluid Dynamics (CFD), Heat Transfer, and Radiative Heat Transfer. He teaches advanced courses like Computational Fluid Dynamics and Heat Transfer and Numerical Solution of Partial Differential Equations . Research interests focus on numerical methods for solving transport equations, fluid flow dynamics around cylinders, thermal-hydrolics in nuclear reactors, and radiative transfer in participating media. He has authored over 50 peer-reviewed articles, with notable work on synthetic kernel methods for radiative transfer and CFD-based heat transfer analysis. Awards and scientific recognitions are not explicitly listed in the provided texts. Prof. ALTAÇ has advised numerous graduate students through his research on thermal systems design and fluid mechanics. He actively contributes to academic governance, having served on University Boards and International Technical Advisory Committees (e.g., Von Karman Institute for Fluid Dynamics). His publications emphasize innovative numerical approaches for engineering challenges, particularly in energy systems and reactor physics.
Åsa Källström Cater is Professor of Social Work at Örebro University since 2015, focusing on children's experiences with family violence and resilience factors. She collaborates with researchers in social work, psychology, and criminology across Sweden and the USA. Doctoral Dissertation (2004): Negotiating Normality and Deviation in Children's Perspectives on Father's Violence Docent in Social Work (2013): Early childhood violence exposure analysis Her research spans four key areas: Children's interpretations of paternal violence Risk factors for violence-exposed youth Broad victimization types (physical/emotional/sexual) Ethical research practices with vulnerable children Recent publications examine violence in family subsystems (2019), cognitive disability support barriers (2025), and mentorship programs for unaccompanied migrants (2020). She contributed to international book chapters on: US method implementation in Sweden Interpersonal violence research Peace-building through child protection Active projects include: Post-victimization support matching Intimate partner violence risk management Women abused in childhood (AWARE) Collaborations: Michigan-Örebro IPV Research Network Nordic Child Witness Network COST Cultural Victimology iRiSk Risk Assessment Framework The Violence Hub Outreach Platform
Mats Sandberg is a Senior Professor at Gävle University, specializing in energy systems and environmental engineering. His research focuses on indoor and urban environmental dynamics, particularly natural ventilation, airflow patterns in urban settings, and energy conservation in historical buildings. He employs advanced experimental methods such as wind tunnel testing, particle image velocimetry (PIV), and computational fluid dynamics (CFD) to study ventilation efficiency, pollutant dispersion, and thermal plume behavior. His work integrates interdisciplinary approaches, addressing challenges like urban morphology impacts on air quality, building ventilation design, and sustainable energy solutions. Key projects include the development of the FAST-AIR tracer-gas system for indoor air quality assessment and studies on net escape velocity metrics for contaminant removal. Sandberg’s research also explores urban heat island mitigation strategies and the interplay between building geometry and airflow dynamics. Recent studies emphasize wind-driven ventilation, thermal plume interactions in urban clusters, and the application of scaled models for airflow simulation. His findings contribute to improving indoor environmental quality, energy efficiency in buildings, and urban sustainability.
Maura Mezzetti is a Full Professor of Statistics at the Department of Economics and Finance, Università degli Studi di Roma II (Tor Vergata), Rome, Italy. Her career spans institutions such as Harvard School of Public Health, Università Bocconi, and European Institute of Oncology. She holds a PhD in Methodological Statistics from Università di Trento (1997) and a Laurea in Mathematics from Università di Milano (1992). Current Position: Full Professor (2021–Present) Former Roles: Associate Professor (2010–2021), Assistant Professor (2004–2010, Tor Vergata; 2000–2005, Bocconi) Research Interests: She specializes in Bayesian statistical methods for spatially correlated data, hierarchical modeling, survival analysis, and biostatistics. Her work addresses public health challenges like cancer incidence modeling, socioeconomic disparities in disease burden, and psychometric/motor behavior analysis. She has developed Bayesian compartmental models for chemical exposure studies and contributed to epidemiological research on breast and colorectal cancer risk factors. Scientific Awards: Yamagiwa-Yoshida Fellowship (2014) ICRETT Fellowships (2012) Excellence in Research (2005) from Bocconi AIRC Fellowships (1998, 1993) Teaching Contributions: She has taught Statistics at undergraduate and graduate levels across Tor Vergata and Bocconi, including specialized courses in medicine, European economy, and data analysis. Her pedagogical efforts include authoring educational materials like "Statistica Descrittiva: Esercizi risolti e guida alla soluzione usando Excel" (2002).
Ethel Tungohan is an Associate Professor in the Department of Politics at York University and a Canada Research Chair (Tier II) in Canadian Migration Policy, Impacts and Activism. She holds a PhD in Political Science and Women and Gender Studies from the University of Toronto, an MSc from the London School of Economics, and a BA from the University of British Columbia. Her research focuses on migrant labor, particularly migrant activism, and emphasizes socially engaged scholarship. She is affiliated with the Global Labour Research Centre and has contributed to grassroots organizations like Gabriela-Ontario and Migrante-Canada. Educations: PhD, Political Science & Women and Gender Studies, University of Toronto MSc, London School of Economics BA, University of British Columbia Affiliations: Canada Research Chair in Canadian Migration Policy, Impacts and Activism Broadbent Institute Policy Fellow Executive Committee Member, Global Labour Research Centre Her research interests include migrant activism, social movements, public policy, intersectionality, and critical race theory. Key works include her award-winning book Care Activism: Migrant Domestic Workers, Movement-Building, and Communities of Care , which challenges stereotypes of migrant caregivers and examines their grassroots organizing. Her scholarship bridges academic research with community action, advocating for transformative change in migration policies and labor rights. Dr. Tungohan has received the National Women’s Studies Association First Book Prize and has contributed to policy debates on temporary foreign workers and caregiver programs. Her articles analyze media framing of migrant workers, intersectional pathways for immigrant women, and the role of care work in transnational communities. She advises on migration policy reforms and collaborates with migrant organizations to address systemic inequalities. Her work highlights the importance of recognizing migrant labor as essential and redefining citizenship through inclusive practices. Her research extends to racial narratives, pandemic responses for migrant workers, and the spatial politics of migrant experiences. She advocates for intersectional approaches in both scholarship and activism, emphasizing the interconnectedness of gender, race, and class in shaping migrant lives.
Bettina Speckmann is a Professor at Eindhoven University of Technology in the Netherlands, specializing in computational geometry and algorithms. Her work spans theoretical computer science, visualization, and geographic information systems. She is actively involved in academic conferences such as SoCG, SODA, and GIScience, and serves as a co-author and editor for multiple journals including Computational Geometry and IEEE Transactions on Visualization and Computer Graphics . Key roles: Conference program committee member, journal reviewer. Research interests: Algorithm design, geometric optimization, topological data analysis, and visual abstraction techniques. Her research focuses on advancing computational methods for spatial data analysis, including Fréchet distance algorithms, modular robotics reconfiguration, and visualizing categorical patterns. Recent work includes optimizing symbol placement in maps and analyzing trajectories in mobility data. She collaborates extensively with researchers in computer science and geography, producing impactful contributions to both theoretical and applied domains.
