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Natalia Imad KhalafView profile

Assistant Professor

• Pancreatic Cancer
• Gastroenterology
• Epidemiology
• +3 more

Natalia Imad Khalaf, MD, MPH, FACP is an Assistant Professor in the Department of Medicine at Baylor College of Medicine with dual appointments as Clinical Investigator in the Clinical Effectiveness and Population Health Program and Core Faculty in the Health Policy, Quality & Informatics Program at the Center for Innovations in Quality, Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center. Her academic trajectory spans clinical gastroenterology, epidemiology, and health services research with focus on cancer outcomes. Her educational foundation includes: BA in Biological Sciences from Rice University (2007) MD from Baylor College of Medicine (2011) Internal Medicine Residency and Chief Medical Residency at Baylor College of Medicine (2014-2015) Gastroenterology & Hepatology Fellowship at Brigham and Women's Hospital (2018) MPH in Epidemiology from Harvard T.H. Chan School of Public Health (2018) Dr. Khalaf's research program centers on pancreatic cancer epidemiology, with emphasis on early detection biomarkers (particularly new-onset diabetes), metabolic risk factors, and healthcare system interventions. Her work integrates clinical gastroenterology with population health methodologies to address diagnostic delays, racial disparities in treatment, and implementation of evidence-based guidelines in gastrointestinal cancers. She actively develops risk prediction tools using health informatics and deep learning approaches. Analysis of her recent publications reveals a concentrated focus on pancreatic cancer pathophysiology and outcomes, with significant contributions to understanding pre-diagnostic metabolic changes, emergency presentation consequences, and diabetes-cancer linkages. Her colorectal cancer work examines screening adherence barriers and medication risk associations, while quality improvement research targets guideline implementation for gastric intestinal metaplasia. Her scientific recognition includes: AGA Academy of Educators Elected Member (2018) Bob Parsons Inaugural Fellow in Pancreatic Cancer Research (2017-2018) American Gastroenterological Association Early Career Investigator Recognition (2017) Soma Weiss Award for Clinical Teaching Excellence (2017) Dean of Medical Education Outstanding Resident Teacher Award (2013) Phi Beta Kappa Honor Society (2007) Dr. Khalaf directs multiple federally funded research initiatives including: VA Career Development Award: Health Informatics Approaches to Improve Early Diagnosis of Pancreatic Cancer ($1.09M, 2022-2026) National Academy of Sciences: Clinical Quality Measures for Gastrointestinal Cancers (2022-2027) Gordon and Betty Moore Foundation: Implementing Digital Quality Measures (2024-2025) American Pancreatic Association Young Investigator Grant (2019-2021) She operates within the IQuESt research ecosystem at the Michael E. DeBakey VA, leveraging the Clinical Effectiveness and Population Health Program infrastructure for her work on cancer diagnostic excellence, veteran health outcomes, and implementation science projects targeting gastrointestinal cancer care pathways.

Jeffrey W. YokotaView profile

Associate Professor

• Aerospace Engineering
• Aerodynamics
• Fluid Dynamics

Dr. Jeffrey W. Yokota is an Associate Professor in the Department of Aerospace Engineering at Toronto Metropolitan University. His career bridges aerospace engineering expertise with a passion for education, having previously worked at NASA. He specializes in aerodynamics and fluid dynamics, mentoring students in advanced aerospace topics. Education: PhD in Aerospace Engineering from Cornell University (1987) BEng in Aerospace Engineering from McGill University (1983) Research Interests: Dr. Yokota focuses on aerodynamics and fluid dynamics, particularly boundary layer control and flow separation phenomena. His work integrates aerospace design principles with advanced mathematical methods. Publications: His research includes studies on boundary layer transition control, contributing to aerospace design optimization and gas dynamics. The complex-lamellar approach remains a key methodological focus. Scientific Awards: SAE Ralph R. Teetor Award CASI F.W. Casey Baldwin Award Teaching & Impact: Dr. Yokota teaches courses like AER 504 (Aerodynamics), AER 622 (Gas Dynamics), and AER 721 (Orbital Dynamics). He prioritizes student mentorship, with stories of profoundly impacting students' academic trajectories, such as preventing a student from quitting engineering through personalized guidance.

Edith C. H. NgaiView profile

Associate Professor

• Internet-of-Things
• mobile crowdsensing
• network security
• +12 more

Edith C. H. Ngai is an Associate Professor in the Department of Information Technology at Uppsala University, Sweden. She leads the Smart City Arena initiative and serves as project leader for the national GreenIoT project on energy-efficient IoT for sustainable city development funded by Vinnova. Her academic career spans multiple prestigious institutions including Chinese University of Hong Kong, Imperial College London, Simon Fraser University, UCLA, and Tsinghua University. Dr. Ngai's research focuses on Internet-of-Things, mobile crowdsensing, network security and privacy, cloud computing, and data analytics, with particular applications in smart cities and healthcare. Her work bridges theoretical foundations with practical implementations for sustainable development. She has pioneered research in energy-efficient IoT systems, data privacy in participatory sensing, and mobile health monitoring applications. Her recent publications demonstrate strong trends in IoT for smart cities, privacy-preserving techniques in social sensing, and energy-efficient data collection systems. The research spans both theoretical contributions and practical implementations, with applications ranging from urban environmental monitoring to healthcare solutions. Her work consistently addresses the tension between functionality and privacy in connected systems. Professional recognition includes: ACM Senior Member (2016) IEEE Senior Member (2015) ACM/IEEE IPSN Best Paper Runner-Up (2013) IEEE IWQoS Best Paper Runner-Up (2010) VINNMER Fellow from Swedish government agency (2009) Dr. Ngai actively mentors PhD and Master's students, with numerous graduates working at leading technology companies including Google. She serves as Associate Editor for IEEE Access, IEEE Transactions on Industrial Informatics, and IEEE Internet-of-Things Journal. Her current research projects include EU SimpliCITY, EU CRUNCH, and the GreenIoT platform for sustainable development, with funding from European Commission, Swedish Research Council, and Vinnova. She leads the Uppsala Urban Computing Lab, which focuses on IoT and mobile crowdsensing for smart cities, network security and data privacy, and smart sensing for healthcare applications. The lab develops integrated decision support tools for smart cities and citizen engagement platforms.

Ben K. GrunwaldView profile

Professor

• criminal law
• criminal procedure
• constitutional law
• +4 more

Ben K. Grunwald serves as Professor of Law at Duke University School of Law, where he has been a faculty member since 2017 after completing a Bigelow Fellowship at the University of Chicago Law School. His scholarly work bridges legal theory and empirical analysis to address critical issues in criminal justice systems. JD, PhD in Criminology, AM in Statistics, and BA from the University of Pennsylvania Clerked for the Honorable Thomas Ambro on the U.S. Court of Appeals for the Third Circuit Bigelow Fellow at the University of Chicago Law School (2016-2017) Professor Grunwald's research program centers on evidence-based criminal justice reform, with particular emphasis on prosecutorial power dynamics, sentencing fairness, juvenile justice boundaries, and police accountability mechanisms. His methodological approach integrates advanced statistical techniques with legal scholarship to produce actionable insights for policymakers. Current projects examine racial bias in criminal records, optimal decarceration strategies, and the labor market consequences of police discipline. His recent publications demonstrate a consistent focus on translating empirical findings into practical legal reforms, particularly in law enforcement practices and juvenile justice systems. Through interdisciplinary collaborations with criminologists and statisticians, his work challenges conventional wisdom using rigorous data analysis while maintaining strong connections to constitutional principles and procedural justice. Professor Grunwald teaches foundational courses including Criminal Law and Criminal Procedure: Investigation, along with specialized seminars in Criminology and Criminal Procedure that emphasize empirical methodologies. His curriculum development reflects his commitment to training future lawyers in evidence-based legal practice and policy analysis.

Christopher D. AbrahamView profile

Associate Professor

• Radiation Oncology
• Neuro-Oncology
• Brain Tumor Treatment
• +4 more

Christopher D. Abraham, MD is an Associate Professor of Radiation Oncology and Associate Professor of Medicine at Washington University School of Medicine in St. Louis. He is affiliated with the Siteman Cancer Center, Brain Tumor Center, and Institute of Clinical and Translational Sciences (ICTS). Dr. Abraham practices at multiple locations including the Center for Advanced Medicine Radiation Oncology Center, Barnes-Jewish West County Hospital, and Siteman Cancer Center – North County. His clinical work focuses on radiation oncology with expertise in treating brain tumors and other cancers. Dr. Abraham completed his Medical Degree at Saint Louis University School of Medicine in 2011 and his Residency in Radiation Oncology at Barnes-Jewish Hospital and Washington University School of Medicine in 2016. He earned his BS in Radiologic Science from the Medical College of Georgia in 2004. Dr. Abraham's research focuses on advancing radiation therapy techniques, particularly in stereotactic radiosurgery for brain metastases, hippocampal-avoidance whole brain radiation therapy, and innovative approaches for glioblastoma treatment. His work demonstrates a strong emphasis on optimizing radiation delivery while minimizing neurocognitive side effects. He has pioneered simulation-free radiation therapy techniques that expedite treatment planning, particularly for palliative care patients. His research also explores the integration of AI and large language models in radiation oncology workflows and insurance appeals processes. Analysis of Dr. Abraham's recent publications reveals a clear research trajectory focused on improving precision in radiation therapy for brain tumors, with particular attention to hippocampal protection, adaptive planning techniques, and combined modality approaches. His work spans clinical trials, technical innovations in treatment planning, and translational research connecting imaging with treatment outcomes. The increasing citation counts of his work, particularly his 2023 paper on simulation-free radiation therapy which has 34 citations, demonstrates growing impact in the field. While specific awards are not listed in the provided information, Dr. Abraham's work has accumulated 536 citations according to Scopus metrics, indicating significant scholarly impact. His research has been referenced in clinical guidelines and policy sources, demonstrating translational relevance to clinical practice. Dr. Abraham actively collaborates with multidisciplinary teams including neurosurgeons, medical oncologists, and physicists. His work on the NRG Oncology/RTOG 0631 trial demonstrates involvement in large cooperative group studies. He has contributed to efforts examining insurance policy adherence to radiation oncology guidelines, showing engagement with healthcare systems issues. As a key member of the Brain Tumor Center at Siteman Cancer Center, Dr. Abraham participates in comprehensive brain tumor care teams that integrate surgical, medical, and radiation oncology approaches. His work with the Institute of Clinical and Translational Sciences highlights his commitment to translating research findings into clinical practice. Current research directions include exploring simulation-free radiation therapy techniques, optimizing hippocampal-sparing approaches, and investigating novel combinations of radiation with immunotherapies.

Siegfried EgglView profile

Assistant Professor

• Astrodynamics
• Planetary Defense
• Celestial Navigation
• +6 more

Siegfried Eggl is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign , with additional affiliations as an Affiliate Faculty in the Department of Astronomy (2022–present) and the National Center for Supercomputing Applications (NCSA) (2021–present). His research bridges astrodynamics, planetary defense, and celestial navigation, focusing on spacecraft trajectory optimization, asteroid deflection, and autonomous navigation systems. Education: B.S., Astrophysics, University of Vienna (2005) M.S., Astrophysics, University of Vienna (2008) M.S., Computational Physics, University of Vienna (2009) Ph.D., Astrophysics, University of Vienna (2013) Research Interests: Eggl investigates astrodynamics for planetary defense, including momentum transfer in asteroid impacts (e.g., NASA’s DART mission). He develops algorithms for celestial navigation using variable stars and studies space domain awareness to address satellite constellation interference. His work also explores dynamical systems in binary star environments and computation/data-driven approaches to orbital mechanics. Recent Publications highlight advancements in planetary defense simulations , celestial navigation algorithms , and asteroid impact dynamics . Topics include state transition matrix computation , ejecta momentum analysis , and binary asteroid system modeling . Scientific Awards: LSST Architect Award (2021) Space Foundation 2023 Space Achievement Award (DART Team) AIAA Award for Engineering Excellence (DART Team, 2023) Asteroid 2000 GT167 named 'Eggl' (2023) 2024 Engineering Council Outstanding Advisors Best paper award at AIAA Guidance, Navigation, and Control Conference (2024) Eggl contributes to professional societies such as the AIAA , American Astronomical Society (Division on Dynamical Astronomy) , and International Astronomical Union , where he co-leads the Centre for the Protection of the Dark and Quiet Sky. His APEX research group at UIUC focuses on planetary defense and astrodynamics.

• Integrated Circuits
• Signal Processing
• Data Analytics
• +4 more

Xin Li is a Professor in the Department of Electrical and Computer Engineering at Duke University and serves as the Associate Vice Chancellor at Duke Kunshan University. He holds a Ph.D. from Carnegie Mellon University (2005) and has held leadership roles in research consortia like the FCRP Focus Research Center and the Center for Silicon System Implementation (CSSI). His research bridges integrated circuits , machine learning , and cyber-physical systems , with applications in autonomous driving, battery lifetime prediction, and smart buildings. Education : Ph.D., Carnegie Mellon University (2005); M.S., Fudan University (2001); B.S., Fudan University (1998) His work emphasizes robust design methodologies for analog/RF circuits, data-driven predictive modeling , and Bayesian inference for high-dimensional variation spaces. Recent publications focus on generative adversarial networks for circuit design, multi-view imputation for incomplete data, and knowledge-driven autonomous systems . He has received numerous accolades, including the NSF CAREER Award (2012) , IEEE Donald O. Pederson Best Paper Awards (2013, 2016) , and IEEE Fellow (2017) . He has served as Editor for journals like IEEE Transactions on Biomedical Engineering and as Chair for conferences including ISVLSI and CAD/Graphics.

Zak MansouriView profile

Senior Lecturer

• Combustion Engineering
• Aerospace Propulsion
• Gas Turbines
• +5 more

Dr. Zak Mansouri serves as a Senior Lecturer in Aerospace Engineering at Nottingham Trent University's School of Science & Technology, where he acts as Course Director for Aerospace Engineering and leads the Development and Diagnostic of Alternative Fuels (DDAF) Laboratory. A core member of the Imaging, Materials and Engineering Research Centre (IMEC), he oversees critical engineering modules including Solid Mechanics & Dynamics and Advanced Dynamics & Vibration as Module Leader, shaping curriculum for undergraduate and postgraduate aerospace programs. His academic foundation includes a PhD from Algeria's University of Laghouat (2016), doctoral research at France's CNRS, and postdoctoral work at the French Alternative Energies and Atomic Energy Commission. Key milestones: PhD in Combustion Engineering, University of Laghouat (2016) Doctoral Researcher, CNRS France (2013-2016) Postdoctoral Researcher, CEA France (2016-2017) Mansouri's research pioneers net-zero combustion technologies, with current focus on iron fuel systems (funded by The Royal Society), hydrogen combustion dynamics, and aerothermal optimization of gas turbines. His expertise bridges experimental diagnostics and computational fluid dynamics to address combustor-turbine interactions in next-generation aero engines, directly supporting global decarbonization efforts in aerospace and energy sectors through industry-academic partnerships. Analysis of his 2021-2025 publications reveals a cohesive research trajectory centered on turbine performance under non-ideal conditions, with growing emphasis on alternative fuels. His work consistently targets aerothermal challenges in gas turbines—particularly hot-streak and swirl effects—while expanding into micro-combustion systems for hydrogen and metal powders, demonstrating a strategic shift toward scalable net-zero propulsion solutions. His scientific recognition includes: ANR Research Fellowship (2017) for low-carbon combustion technology (€50,000) Mansouri secures competitive funding from The Royal Society and previously from French National Research Agency, with industrial consultancy contributions to €2.5M projects at GE Renewable Energy modernizing hydropower infrastructure. He actively supervises PhD candidates through NTU's Doctoral School, prioritizing projects in sustainable combustion and turbomachinery, and maintains open collaboration channels for industrial R&D partnerships. He directs the DDAF Laboratory's experimental research on alternative fuel diagnostics and leverages IMEC's multidisciplinary facilities for thermal-fluid investigations. His global network integrates industrial partners (Lanemark, ArcelorMittal, TSI) with academic institutions across France and Algeria, driving innovation in turbine cooling systems and zero-emission combustion through shared expertise in computational modeling and experimental validation.

Ullrich MönichView profile

Researcher

• Signal Processing
• Wireless Communications
• Machine Learning
• +7 more

Dr.-Ing. Ullrich Mönich is a Senior Researcher and Lecturer at the Technical University of Munich (TUM) , affiliated with the Chair of Theoretical Information Technology and leading research activities at the Advanced Communication Systems and Embedded Security Lab (ACES Lab) . Since 2019, he has been instrumental in shaping experimental and theoretical research in 6G communications, physical layer security, and signal processing. Education: Dr.-Ing. in Electrical Engineering, Technische Universität München (2011) – supervised by Prof. Holger Boche Previous affiliations include MIT (2012–2015) and TU Berlin Research Focus: His research spans signal processing, wireless communications, machine learning, and sampling theory , with a strong emphasis on physical layer security , computability in signal processing , and 6G communications . He explores theoretical foundations and practical implementations, including neuromorphic computing, digital twinning, and secure modular coding schemes. Publications & Trends: His recent publications (2023–2025) are heavily concentrated in 6G communications , integrated sensing and communications (ISAC) , semantic physical layer security , and digital twinning . These works often combine theoretical analysis with experimental validation using 5G/6G testbeds and neuromorphic hardware. Teaching & Supervision: Regularly teaches "Foundations of Analog, Digital, and Quantum Computers" (tutorials since 2018) Previously taught "Applied Functional Analysis" and "Advanced Signal Theory" Involved in practical courses like "Software Defined Radio Laboratory" Labs & Teams: He leads the ACES Lab at TUM, which focuses on experimental validation of advanced communication systems, including physical layer security, neuromorphic computing, and 6G testbeds. The lab collaborates with national and international partners, including MIT, and is supported by major funding bodies such as the German Federal Ministry of Education and Research (BMBF) and the German Research Foundation (DFG).

• International Macroeconomics
• International Trade
• Monetary Policy
• +2 more

Paul R. Bergin is a Professor of Economics at the University of California, Davis, holding a Ph.D. from Yale University (1996). He maintains professional affiliations with the National Bureau of Economic Research (NBER) and the Kiel Institute, reflecting his prominence in international economics research. Education: Ph.D. in Economics, Yale University, 1996 Research Interests: Professor Bergin specializes in International Macroeconomics, with core expertise in international trade dynamics, monetary policy transmission in open economies, and exchange rate volatility. His work investigates how financial frictions affect trade patterns, the macroeconomic implications of tariff policies, and the relationship between currency undervaluation and comparative advantage. He employs both theoretical DSGE modeling and empirical analysis to address critical questions in global economic stability. Analysis of his recent publications reveals a strong focus on trade-policy interactions with monetary frameworks, particularly regarding tariff shocks and sectoral adjustments. His research consistently bridges theoretical macroeconomics with practical policy implications, demonstrating how capital account policies influence growth trajectories and how structural economic changes affect trade volatility. This thematic continuity underscores his contribution to understanding globalization's evolving macroeconomic dimensions. Professional Affiliations: National Bureau of Economic Research (NBER) Kiel Institute for the World Economy

Cory L. CobbView profile

Assistant Professor

• Prevention Science
• Mental and Behavioral Health of Hispanic Populations
• Digital Mental Health
• +4 more

Dr. Cory L. Cobb is an Assistant Professor at Texas A&M University and a licensed psychologist in Texas. A prevention scientist trained in clinical psychology, he directs a community-centered research program focused on reducing mental-health disparities among Latino populations through culturally sensitive, technology-enabled interventions. Education Postdoctoral Research Fellow, Prevention Science – University of Texas at Austin, 2021 Ph.D., Counseling Psychology – University of Central Arkansas, 2019 M.S., Mental Health Counseling – University of Central Arkansas, 2016 B.A., Psychology – University of Central Arkansas, 2014 A.A., General Education – Pulaski Technical College, 2012 Research Focus Dr. Cobb’s scholarship integrates prevention science and clinical psychology to examine sociocultural determinants of mental and behavioral health in Latino communities. His multi-level investigations span individual, family, and community factors, with a strong emphasis on digital mental-health technologies for scaling evidence-based interventions. He is particularly interested in resilience mechanisms that can be leveraged to offset discrimination, acculturative stress, and limited access to services among underserved Latinos. Scientific Recognition NIMH R34 Grant: “Latino Youth and Family Study-III” APS Rising Star Award – 2025 APA Samuel M. Turner Early Career Award for Distinguished Contributions to Diversity in Clinical Psychology National APA Convention Research Award – 2015 Associate Editor, American Journal of Health Behavior (2023–present) Associate Editor, International Journal of Intercultural Relations (2022–present) Associate Fellow, Texas A&M Telehealth Institute Mentorship & Service Committed to lifelong mentorship, Dr. Cobb trains undergraduate, graduate, and postdoctoral scholars in research design, data analysis, and career development. He fosters inclusive mentoring environments that emphasize publication writing, professional networking, and dissemination of culturally informed science.

• Optimization
• Convex Analysis
• Nonlinear Analysis
• +3 more

Radu Ioan Bot is a Professor and Dean of the Faculty of Mathematics at the University of Vienna, where he also serves as Head of the Department of Mathematics. His primary affiliations include the Department of Mathematics (Oskar-Morgenstern-Platz 1, 1090 Wien) and the Research Network Data Science (Währinger Straße 29, 1090 Wien). Bot's research centers on optimization theory with emphasis on convex/nonconvex optimization, monotone operators, and dynamical systems. He develops fast algorithms for variational inequalities and monotone inclusions by bridging continuous-time dynamics with discrete optimization methods. His work frequently addresses bilevel optimization, Tikhonov regularization, and second-order dynamics, yielding accelerated convergence rates for complex problems. Analysis of his 15 most recent publications (2023-2025) reveals dominant trends in time-scaling techniques, vanishing damping dynamics, and structured splitting methods. Key contributions include unifying Nesterov acceleration with Heavy Ball dynamics, developing reflected forward-backward algorithms for constrained optimization, and establishing strong convergence guarantees for monotone operator flows. These advances demonstrate consistent innovation in accelerating optimization while maintaining theoretical rigor. No scientific awards were mentioned in the provided source material. Details regarding student advising and research grants were not specified in the available information, though his leadership roles as Dean and Department Head indicate significant administrative responsibilities alongside active research. Bot participates in the University of Vienna's Research Network Data Science, suggesting interdisciplinary engagement in data-driven methodologies with potential applications in machine learning and computational mathematics.

• Additive Manufacturing
• Engineering Design
• Manufacturing Process Optimization
• +3 more

Professor Allan Rennie serves as Professor in Manufacturing Engineering at Lancaster University's School of Engineering and holds the administrative position of Associate Dean for Engagement within the Faculty of Science and Technology. With a career spanning over 30 years since initiating work in additive manufacturing during the mid-1990s, he has established himself as a leading figure in industrial applications of advanced manufacturing technologies across diverse sectors. His research expertise centers on Additive Manufacturing , Engineering Design , and Manufacturing Process Optimization , with current specializations including design for additive manufacturing (as co-leader of the UK's EPSRC DfAM Network), industrial digitalisation of manufacturing processes, and innovative tooling development using metallic and hybrid approaches. Rennie has significantly contributed to Engineering Education , particularly examining the integration of business and management principles into engineering curricula and analyzing the impacts of online/hybrid delivery modes on student engagement and graduate employability following the COVID-19 pandemic. Recent publication trends reveal Rennie's dual focus on practical manufacturing applications and scholarly analysis of technological evolution. His 2025 bibliometric study maps a decade of Design for Additive Manufacturing research, while his structural analysis of musical instruments demonstrates cross-disciplinary applications of manufacturing techniques. These works reflect his commitment to both advancing manufacturing technology and documenting its academic trajectory through rigorous analysis. Professor Rennie actively supervises PhD candidates including Jenny Roberts, Eunike Sembiring, and Joe Taylor while leading substantial research projects such as the EPSRC DfAM Network (2020-2023), Automating Design for Additive Manufacture with AI (2023-2024), and multiple Engineers in Business Competitions. His extensive grant portfolio spans industrial digitalization, sustainable manufacturing, and educational innovation, with notable projects including RENDER (powder recycling), TecHnology and EntrepreneUrship Education, and Production Capable Additive Manufacturing of Polymers. Rennie contributes to Lancaster's research ecosystem through affiliations with the Centre for Global Eco-innovation, Energy Lancaster initiative, and the Lancaster Product Development Unit. These platforms enable him to bridge academic research with industrial applications across multiple sectors, particularly supporting his work on sustainable manufacturing practices, technology commercialization, and industry engagement strategies that translate research into real-world impact.

• MR Imaging
• MR Elastography
• Low-field MRI
• +5 more

Dr. Najat Salameh is a Senior Lecturer at the University of Aberdeen's School of Medicine, Medical Sciences and Nutrition, where she leads the Medical Imaging Technologies theme at the Institute of Medical Sciences. She co-founded the Center for Adaptable MRI Technology (AMT Center) in 2017 and relocated it to Aberdeen in April 2023, establishing what will become the largest low-field MR technology platform with approximately 900 m 2 of lab and office space at the Foresterhill campus. Her educational background includes: PhD in Biomedical Sciences from Université Catholique de Louvain (2009) DEA (Master) in Health Sciences from Université Catholique de Louvain (2008) Diplôme ès Sciences Physiques from University of Geneva (2005) Dr. Salameh has developed over 20+ years of expertise in MR imaging, positioning herself at the interface between Physics and Medicine. Her research spans from fundamental physics to microsurgery in rodents, with specialization in MR elastography for liver and brain applications, thermometry, metabolic imaging, and low magnetic field MRI systems. She designs, implements, and validates imaging protocols across magnetic fields ranging from 0.0065 T to 9.4 T, with a strong focus on making MRI technology more accessible and adaptable for clinical use. Her work bridges the gap between advanced imaging technology development and practical clinical applications. Her recent publication portfolio reveals a clear trajectory toward practical implementation of low-field MRI systems, with emphasis on hardware innovation, deep learning applications for image reconstruction, and clinical translation of MR elastography techniques. The research demonstrates significant progress in making quantitative tissue characterization more accessible through cost-effective imaging solutions. Her scientific recognition includes: V-LF-Spiro3D grant from Research Councils UK (2023-2027) for low-field 3D magnetic resonance spirometry Interventional and susceptibility artifact-free MR Imaging award from Swiss National Science Foundation (2017-2021) In vivo detection and imaging of free radicals using the Overhauser effect grant from Swiss National Science Foundation (2013-2014) MR elastography for chronic liver diseases award from Fonds pour la formation à la recherche dans l'industrie et l'agriculture (2005-2009) As co-founder and leader of the AMT Center, Dr. Salameh collaborates with Dr. Sarracanie, Dr. Broche, and Dr. Ross on developing the next generation of low-field MRI technology. Her center is currently establishing a major research infrastructure with three fixed low-field scanners and two Field-Cycling whole-body systems in a newly refurbished facility, positioning Aberdeen as a global hub for adaptable MRI technology development. The Center for Adaptable MRI Technology represents a significant investment in accessible imaging technology, with the relocated platform forming what will be the largest low-field MR technology facility globally. This initiative supports research across multiple clinical applications while addressing the need for more affordable and widely deployable imaging solutions.

• Emergency Medicine
• Basic Life Support
• Cardiopulmonary Resuscitation
• +5 more

Ernesto Herrera Pedroviejo serves as an Associate lecturer at the Blanquerna School of Health Sciences, Ramon Llull University (URL) in Barcelona, Spain, with an active research profile in emergency medical systems. Contactable via ernestohp1@blanquerna.url.edu and ORCID 0000-0002-4163-4558, his scholarly impact includes 62 citations and an h-index of 4 per Scopus metrics, reflecting contributions to life-saving healthcare innovations. His research centers on Emergency Medicine with specialized expertise in Basic Life Support (BLS) , Cardiopulmonary Resuscitation (CPR) , and technology-integrated medical training. Key investigations include comparative analyses of resuscitation devices (pocket masks vs. bag-valve masks), augmented reality applications for BLS instruction via smart glasses, and novel approaches to aquatic emergency response. His work bridges clinical practice with digital innovation, particularly through video communication systems for dispatcher-assisted bystander interventions and biomechanical assessments of postural stability. Publication trends from 2020-2025 reveal a strategic focus on pilot studies evaluating real-world feasibility of emergency response tools. Dominant themes include technology-enhanced medical education (evident in 2023 AR training studies), device optimization for field use (2020 flotation device research), and advanced resuscitation techniques (2025 mask comparison study). This trajectory demonstrates consistent methodological emphasis on simulation-based validation and human-factor analysis in high-stakes emergency scenarios.