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Shaul MukamelView profile

Professor

• Ultrafast Spectroscopy
• Nonlinear Optical Spectroscopy
• Biophysical Chemistry
• +7 more

Shaul Mukamel is the Chancellor Professor of Chemistry at the University of California, Irvine (UCI), with affiliations at the Freiburg Institute for Advanced Studies (FRIAS) in Germany. He holds a Ph.D. from Tel Aviv University (1976) and has held faculty positions at Rice University, the Weizmann Institute, and the University of Rochester. His research focuses on developing computational techniques for ultrafast laser spectroscopy, probing electronic and vibrational dynamics in molecules, and applying these to biophysical systems like protein folding, photosynthetic complexes, and semiconductor nanostructures. He is a recipient of prestigious awards including the Sloan, Dreyfus, Guggenheim, and Alexander von Humboldt Fellowships, and is a Fellow of the American Physical Society and Optical Society of America. Research Interests: His work spans nonlinear optical spectroscopy, attosecond X-ray techniques, quantum coherence in photosynthetic systems, and entangled photon-based spectroscopy. He has pioneered methods for analyzing multidimensional optical signals and simulating energy transfer pathways in biological complexes. Grants & Funding: Supported by NIH, NSF, DOE, and Petroleum Research Fund grants for studies on molecular relaxation, nonlinear optical phenomena, and single-molecule spectroscopy. Awards: OSA Lippincott Award (2015), APS Plyler Prize (2008), and numerous fellowships. His textbook Principles of Nonlinear Optical Spectroscopy (Oxford, 1995) is a seminal reference in the field.

• Econometrics
• Applied Economics
• Transportation Policy
• +5 more

Professor Luiz Lima is a Professor of Economics at the University of Tennessee, specializing in econometrics, applied economics, and transportation policy. His research focuses on transportation demand, child labor dynamics, trade integration effects, and textual data analysis in forecasting. He teaches courses such as International Economics (ECON 421), Time Series Econometrics (ECON 683), and Elements of Econometrics II (ECON 583). Lima has advised doctoral students including Abubakr Ziedan and Lucas Garcez, and has contributed to the development of the TextForecast R package for econometric applications. His recent work includes analyzing the impact of fare innovations on bus ridership and the effects of the Euro on bilateral trade. He actively serves on academic committees, including the PPPR review committee and the Journal of Business and Economic Statistics refereeing panel. His research has been funded by the CDC and involves collaborations with institutions like the University of Federal Paraíba in Brazil.

Camilla Thørring BonnesenView profile

Researcher

• Child and Adolescent Health
• Public Health
• Healthy Weight Development
• +8 more

Camilla Thørring Bonnesen is a Researcher at the National Institute of Public Health, University of Southern Denmark, specializing in child and adolescent health. Her work focuses on early-life interventions, school-based health programs, and reducing social inequalities in health outcomes. PhD in Public Health Sciences, University of Southern Denmark (2019) Master of Science in Public Health, University of Copenhagen (2012) Bachelor of Science in Public Health, University of Copenhagen (2009) Her research interests include healthy weight development in young children, adolescent stress and sleep, and the design and evaluation of public health interventions using frameworks like Intervention Mapping and PRECEDE-PROCEED. She employs advanced epidemiological methods, mixed methods research, and impact evaluation to assess the effectiveness and implementation of complex interventions in real-world settings. The recent publications highlight a strong trend in school-based and municipal public health initiatives, particularly targeting stress in high school students, infant sleep and weight development, and breastfeeding equity. Her work combines quantitative analysis (e.g., linear regression, cluster RCTs) with qualitative process evaluations, reflecting a holistic approach to implementation science in public health. Scientific Awards: No formal awards listed in the provided text. She advises PhD students, including L. Kierkegaard, and leads or co-leads major research projects such as The Bloom Study , which investigates multicomponent interventions for healthy weight in early childhood. She has secured research funding for long-term projects extending to 2029. Her advisory role extends to both project management and co-supervision of doctoral research. Bonnesen is actively involved in research teams focused on health promotion, mental well-being, and implementation science. She collaborates with interdisciplinary teams across Denmark and contributes to knowledge translation through public talks, media engagement, and academic presentations.

Saskia HekkerView profile

Professor

• Asteroseismology
• Stellar Evolution
• Internal Structures of Stars
• +3 more

Saskia Hekker is a Professor of Theoretical Astrophysics at Heidelberg University's Center for Astronomy (ZAH), specifically at the Landessternwarte Königstuhl (LSW) observatory. Since September 2020, she has also served as Group Leader for the Theory and Observations of Stars (TOS) at the Heidelberg Institute for Theoretical Studies (HITS). Her academic journey includes significant positions at the Max Planck Institute for Solar System Research in Göttingen (2014-2020), where she led an independent research group, and earlier postdoctoral positions at the University of Amsterdam, University of Birmingham, and Royal Observatory of Belgium. Dr. Hekker's research focuses on asteroseismology, stellar evolution, and the internal structures of stars, particularly solar-like oscillators and red giants. Her work bridges theoretical modeling with observational data to understand stellar interiors and evolutionary processes. She has made significant contributions to understanding mixed modes in red giants, stellar rotation, and the application of asteroseismology to determine stellar ages and evolutionary status. Her research often involves large-scale missions like Kepler and PLATO, as evidenced by her numerous publications in high-impact journals. Her recent publications (2024-2025) reveal a strong focus on asteroseismic analysis of red giants, stellar rotation, magnetic effects on stellar oscillations, and the development of methods for asteroseismic modeling. Her work frequently appears in Astronomy & Astrophysics, The Astrophysical Journal, and Nature Astronomy, demonstrating her leadership in applying asteroseismology to solve fundamental questions about stellar structure and evolution. ERC Consolidator Grant (2020-2026) for project 'DipolarSound' Merac prize for observational astrophysics (2015) ERC starting Grant (2013) Veni fellowship from Dutch National Funding Agency (2010) Multiple poster prizes at international conferences Dr. Hekker leads the Theory and Observations of Stars group at HITS, which focuses on developing and applying asteroseismic techniques to study stellar structure and evolution. Her team works closely with data from space missions like Kepler and PLATO, contributing to major catalogs like APOKASC-3. Her ERC Consolidator Grant 'DipolarSound' (2021-2026) supports research into the coupling of mixed oscillation modes in red giants, which has implications for understanding angular momentum transport in stellar interiors.

Tomer DumanView profile

Assistant Professor

• Global Change Biology
• Plant Biology
• Ecosystem Ecology
• +3 more

Tomer Duman is a Research Assistant Professor at the University of New Mexico's Department of Biology, focusing on ecosystem-atmosphere interactions. His research examines how environmental changes—including extreme drought, wildfires, and land cover shifts—affect carbon, water, and energy fluxes in semiarid ecosystems. Using numerical modeling and high-frequency atmospheric measurements, he studies turbulence, flux footprints, and vegetation resilience. Duman holds a PhD in Agricultural Engineering from Technion – Israel Institute of Technology (2012) and a bachelor's degree from the same institution (2006). He completed postdoctoral work at Duke University and Rutgers University before joining UNM in 2018. His publications emphasize climate impacts on ecosystems, carbon flux quantification, and turbulence modeling. Recent work analyzes drought-induced productivity losses, land cover feedbacks on surface temperatures, and eddy-covariance techniques. Collaborative projects include AmeriFlux network studies and rangeland carbon dynamics modeling.

• Risk Theory
• Actuarial Mathematics
• Bankruptcy Theory
• +4 more

Χατζηκωνσταντινίδης Ευστάθιος is a Professor at the University of Piraeus in the Department of Statistics and Actuarial Science. His academic career spans decades with significant contributions to actuarial mathematics and statistical theory. He teaches undergraduate courses in Actuarial Mathematics, Risk Theory, and Reliability Theory, and postgraduate courses in Generalized Linear Models and Risk Management. Education: PhD in Mathematics (1990) - Aristotle University of Thessaloniki (Grade: Excellent) BSc in Mathematics (1985) - Aristotle University of Thessaloniki (Grade: Excellent) Research Focus: His work centers on risk theory, bankruptcy modeling, compound Poisson processes, and optimal experimental designs. He has developed innovative approaches to: Perturbed risk models with diffusion processes Copula-based dependence modeling in insurance Gerber-Shiu function analysis for dividend strategies Recursive methods for compound distributions His research bridges theoretical mathematics with practical actuarial applications. Publication Trends: Analytical studies of stochastic processes dominate his recent work, focusing on: Ruin probabilities and deficit distributions Dependence modeling using copulas Optimal dividend strategies Computational methods for risk models Earlier publications emphasize experimental design optimization and reliability theory. Administrative Leadership: Chair of Department of Statistics and Actuarial Science (2007-2009) Director of Postgraduate Program in Actuarial Science & Risk Management Member of Senate of University of Piraeus Deputy Chair of Ministry of Finance's Actuarial Examination Committee Research Projects: Has participated in multiple funded projects including: 'Optimal Experimental Designs' (Greek Ministry of Education) 'Modern Model for Actuarial Studies Preparation' (University of Piraeus) EPEAEK programs on statistical applications

Chantal DumoulinView profile

Professor

• Urogynecological health
• Urinary incontinence
• Pelvic floor rehabilitation
• +2 more

Chantal Dumoulin is a full professor at the School of Rehabilitation, Faculty of Medicine, University of Montreal. As a researcher at the Research Center of the University Institute of Geriatrics of Montreal (CRIUGM), she specializes in urogynecological health and aging women's urinary incontinence. Her work focuses on non-invasive treatments like pelvic floor muscle training and innovative technologies. Research Focus Physiopathology of urinary incontinence in older women Pelvic floor muscle rehabilitation techniques Virtual reality therapy for combined cognitive-muscle training Development of diagnostic tools like wireless pelvic floor dynamometers Scientific Contributions Established Canada Research Chair in Urogynecological Health and Aging Principal investigator for large-scale studies like the GROUP Project (400+ participants) Recipient of CIHR, FCI, and FRQS grants

Bent NielsenView profile

Professor

• Econometrics
• Statistical Theory
• Time Series Analysis
• +4 more

Bent Nielsen is a Professor of Econometrics at the Department of Economics, University of Oxford, and a Professorial Fellow at Nuffield College. His academic career is centered around econometric theory and its applications. Nielsen has established himself as a leading expert in time series analysis, particularly in the areas of cointegration, outlier detection, and age-period-cohort modeling. His research has significant implications for both theoretical econometrics and practical applications in fields such as actuarial science and demographic analysis. Based at Nuffield College in Oxford, he contributes to the vibrant academic community through research, teaching, and software development for statistical analysis. Research Interests: Econometric Theory: Nielsen's work focuses on the theoretical foundations of econometric modeling, particularly in time series analysis. His research on cointegration, unit root testing, and co-explosive processes has advanced our understanding of non-stationary economic time series. Outlier Detection: He has made significant contributions to robust regression methods, particularly through his work on the Forward Search algorithm and Least Trimmed Squares estimation. His theoretical work provides the foundation for reliable outlier detection in economic and financial data. Age-Period-Cohort Analysis: Nielsen has developed innovative methods for age-period-cohort modeling, with applications in demography, epidemiology, and actuarial science. His R package "apc" has become a standard tool in these fields. Chain Ladder Methods: His work on the statistical foundations of chain ladder methods has improved forecasting techniques in general insurance for projecting future liabilities. Research Trends: Nielsen's recent publications (2019-2025) demonstrate a continued focus on robust statistical methods, particularly Least Trimmed Squares estimation and its applications. His work bridges theoretical econometrics with practical applications, especially in demographic modeling and actuarial science. The development of R packages like "apc" and "ForwardSearch" shows his commitment to making advanced statistical methods accessible to practitioners. His collaborations with researchers across institutions highlight the interdisciplinary nature of his work. Scientific Recognition: Best paper award (2016) for "A Joint Chow Test for Structural Instability" Development of widely used R packages: "apc" for age-period-cohort modeling and "ForwardSearch" for outlier detection Teaching and Mentorship: Professor Nielsen teaches graduate-level econometrics courses at Oxford, including MPhil Core Econometrics, MPhil Advanced Econometrics, and MPhil Topics in Probability. He supervises research students working on econometric theory and applications. His textbook "Econometric Modeling: A Likelihood Approach" (co-authored with David Hendry, 2007) is widely used in graduate econometrics courses. Software Development: Nielsen has made significant contributions to statistical computing through the development of several R packages. His "apc" package implements age-period-cohort modeling techniques, while "ForwardSearch" provides tools for robust regression using the Forward Search algorithm. These packages have been downloaded thousands of times and are cited in numerous research papers across multiple disciplines.

Frederick ShicView profile

Professor

• Computational Neuroscience
• Neuroengineering
• Autism Spectrum Disorder (ASD) Research
• +6 more

Dr. Frederick Shic is a Professor of Pediatrics at the University of Washington School of Medicine and a Principal Investigator at Seattle Children's Research Institute. He also holds adjunct appointments in Computer Science & Engineering and Psychology at UW. His research integrates computer science, engineering, and developmental science to create innovative tools for understanding and improving outcomes for children with autism spectrum disorder (ASD) and other developmental conditions. Academic Affiliation: University of Washington (School of Medicine, Department of Pediatrics, General Pediatrics Division) Laboratory: Seattle Children's Innovative Technologies Laboratory (SCITL) Dr. Shic's expertise spans computational neuroscience, neuroengineering, and human-centered computing, with a focus on non-invasive technologies like eye tracking, functional near-infrared spectroscopy (fNIRS), and social robots. His work has been funded by the National Institute of Mental Health (NIMH), Institute of Education Sciences (IES), Simons Foundation, and Autism Speaks. Key contributions include: Development of interactive eye-tracking methodologies for joint attention assessment Investigation of physiological biomarkers (e.g., heart rate-defined sustained attention) in neurodiverse populations Creation of novel computational models for analyzing eye-tracking data Exploration of genetic contributions to attention through twin studies Application of social robots for in-home ASD interventions Analysis of spatiotemporal eye movement patterns as potential ASD biomarkers His academic journey includes: B.S. in Engineering and Applied Science from Caltech Ph.D. in Computer Science from Yale University Postdoctoral training at Yale Child Study Center under NIMH T32 program Prior roles: Associate Research Scientist at Yale, Software Engineer at Sony Interactive Studios, MRS Researcher at Huntington Medical Research Institutes Current research directions include: Standardization of clinical eye-tracking protocols through the International Society for Clinical Eye Tracking (ISCET) Development of accessible, technology-enhanced behavioral paradigms Investigation of reward and motivation mechanisms in ASD attention patterns Translation of EEG and eye-tracking findings into clinical applications

• Binge Eating Disorder
• Pathological Gambling
• Dopaminergic Neuroscience
• +7 more

Jakob Linnet is a Clinical Associate Professor at the Department of Clinical Research, affiliated with the Karolinska Institute and Odense University Hospital , where he leads the Research Unit of Occupational and Environmental Medicine. His work bridges psychology and clinical neuroscience, focusing on behavioral and neurological aspects of psychiatric disorders. Primary affiliations: Karolinska Institute, Odense University Hospital Department: Clinical Research His research centers on Binge Eating Disorder and Pathological Gambling , examining dopaminergic mechanisms, cognitive impairments (e.g., Iowa Gambling Task), and neurobiological substrates like the ventral striatum. He has contributed to ICD-11 diagnostic frameworks for adjustment disorders and PTSD in vulnerable populations. Recent projects include: Developing treatments for Type 2 Diabetes and Binge Eating Disorder comorbidity (2024-2027) Validating ICD-11 adjustment disorder diagnostics (2022-2024) Long-running leadership in Gambling Disorder and BED research (since 2018) Prominent methodologies span cohort studies, logistic regression analysis, and mixed-methods evaluations of internet-based cognitive behavioral therapy (iCBT) efficacy. Linnet actively translates research through media contributions, discussing topics such as mobile phone addiction, brain science festivals, and substance use interventions.

Apostolos VavourisView profile

Research Fellow

• Energy Engineering
• Artificial Intelligence
• Deep Learning
• +7 more

Apostolos Vavouris is a Research Fellow at the University of Strathclyde within the College of Engineering , Department of Electronic and Electrical Engineering . He is part of the Horizon2020 GECKO project, focusing on interpretable Deep Learning and AI for climate change mitigation. Doctor of Philosophy (PhD) in progress (expected completion 2025) Master of Science in Accounting and Finance (2020), University of Macedonia Integrated MSc in Electrical and Computer Engineering (2019), Aristotle University of Thessaloniki Research Interests revolve around Smart Meter Energy Analytics , Non-intrusive Load Monitoring , and Deep Learning for energy systems. His work spans load disaggregation, electricity forecasting, demand flexibility, and decarbonization of agriculture and dairy sectors. Recent Publications include frameworks for AI-enabled load scheduling in dairy industries, open datasets on energy practices, and methodologies for three-phase energy analysis. He contributes to SDGs like Climate Action and Affordable Energy . Scientific Awards : Images of Research 2024: Capturing Collaboration Category Award Collaborations include partnerships with Technical Chamber of Greece , University of Macedonia , and Aristotle University of Thessaloniki . He supervises datasets on EV charging and energy practices and participates in public events like Housing 2025 .

• Ultrashort laser pulses
• Nonlinear optical phenomena
• Terahertz radiation generation and detection
• +3 more

Virgilijus Vaičaitis is a Professor and Chief Researcher at the Laser Research Center of Vilnius University's Faculty of Physics, Department of Quantum Electronics. His research focuses on advanced laser physics and nonlinear optical phenomena, with particular expertise in ultrashort laser pulses, terahertz radiation generation and detection, and laser-created air plasma. Dr. Vaičaitis has led multiple significant research projects including those funded by the Lithuanian Research Council S-MIP-19-46 (2019-2022), EU Framework Programs LASERLAB-Europe IV (2015-2019) and LASERLAB-Europe III (2012-2015), and a NATO-sponsored project between Vilnius, Rochester and Maryland universities (2004-2007). His work has resulted in publications in high-impact journals such as Nature Physics, Physical Review Letters, and Applied Physics Letters. His research spans ultrashort laser pulses , nonlinear optical phenomena , terahertz radiation generation and detection , and laser-created air plasma . His publications reveal a strong focus on developing novel methods for terahertz generation and plasma characterization, with applications in spectroscopy, material analysis, and ultrafast phenomena investigation. The research demonstrates expertise in both theoretical modeling and experimental implementation of complex laser systems. Vilnius University Rectors prize for scientific achievements (2022) Dr. Vaičaitis serves as a reviewer for journals including "Optics Letters," "Optics Express," "Applied Optics," "Optics Communications," and the "Lithuanian Journal of Physics." He is an expert for the Agency for Science, Innovation and Technology (Lithuania), Lithuanian Business Support Agency, and the Department of Research and Development of the Ministry of Education, Youth and Sports of Czech Republic. He has supervised doctoral students Kęstutis Steponkevičius (thesis on "Third harmonic generation and six-wave mixing of femtosecond laser pulses in air") and Danas Buožius (working on "THz radiation generation in air"). Additionally, he has mentored over 15 master's and bachelor's students and reviewed approximately 20 student theses. Dr. Vaičaitis actively participates in international conferences, having delivered invited presentations at "The Extreme Light Infrastructure User Meeting" (2024), "2nd International Congress and Expo on Optics, Photonics and Lasers" (EUROPL2024, 2024), and various International Conferences "Foundations & Advances in Nonlinear Science." His science popularization efforts include articles in media outlets explaining complex physics concepts to the general public, such as "850 mln. eurų itin galingiems lazeriams: kam reikalinga ekstremalios šviesos infrastruktūra Europoje?" (2023) and "Nuo vandens lašo iki šiuolaikinės lazerių fizikos" (2016).

Mohammad SadeghiView profile

Research Fellow

• Robotics
• Haptics
• Finite Element Method (FEM) Simulation
• +3 more

Mohammad Sadeghi is a Research Fellow at the Institute of Mechatronics in Mechanical Engineering, Hamburg University of Technology, specializing in robotics, haptic systems, and sensor design. He holds a Dr.-Ing. degree and maintains active roles in research supervision and collaborative industry projects. His academic foundation includes: M.Sc. in Mechanical Engineering from Ferdowsi University, Mashhad, Iran B.Sc. in Mechanical Engineering from Birjand University, Birjand, Iran Dr. Sadeghi's research integrates robotics with medical applications, focusing on wearable exoskeletons for telerehabilitation, bio-inspired whisker sensors, and magnetoelectric actuator systems. His methodological approach combines finite element simulation, inverse optimization, and machine learning to solve challenges in human-robot interaction and precision sensing. Recent work demonstrates growing emphasis on mixed reality integration for industrial haptic feedback and minimally invasive surgical applications. Publication analysis reveals dual research thrusts: medical robotics (40% of recent output) featuring rehabilitation devices and surgical sensors, and magnetoelectric systems (35%) for bioimaging and precision actuation, complemented by biomaterials and manufacturing optimization studies. Recognition includes: Hamburg Innovation Call for Transfer award (2024) for surgical precision enhancement via whisker sensors He supervises six active theses on topics including magnet-based whisker sensors and mixed reality haptic feedback, with Kyrillos Adeeb's 2024 singularity-avoidance project completed. Industry collaborations with Schaeffler (robotic manufacturing), MBJ GmbH (solar robotics), and bAhead (liquid handling systems) demonstrate translational impact. His experimental work utilizes the institute's Haptics Lab and PHiLsLab for hardware-in-the-loop validation of autonomous systems.

Ebba DellwikView profile

Researcher

• Wind Energy
• Meteorology
• Remote Sensing
• +5 more

Ebba Dellwik is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in meteorology and remote sensing within the Wind Energy Systems Division. Her work focuses on understanding wind flow patterns, particularly in forested environments and around wind turbines, contributing significantly to wind energy research and development in Denmark and internationally. Dr. Dellwik's research expertise spans multiple critical areas in wind energy and atmospheric science. Her primary interests include: Forest meteorology and wind flow modeling in complex terrain Wind turbine aerodynamics and performance optimization Remote sensing applications using LiDAR and sodar technologies Tree-wind interactions and their implications for wind resource assessment Atmospheric boundary layer dynamics in forested landscapes Her recent publications reveal a strong focus on integrating advanced measurement techniques with computational modeling. Dellwik has pioneered methods for using point cloud data to create digital tree twins, improving our understanding of wind flow through forests. She has also made significant contributions to understanding rain erosion on wind turbine blades and developing more accurate wind resource assessment methods in complex terrain. Dr. Dellwik actively supervises PhD students and participates in numerous research projects. Current projects include: Wind Farm Modeling for Enhanced Performance (2024-2027) Dispersion and consequences of releases to the atmosphere in the urban environment (2023-2026) AIRE: Advanced study of the atmospheric flow Integrating REal climate conditions (2023-2026) Advanced numerical modeling of the interaction between trees and near-surface winds (2022-2025) Her research group utilizes state-of-the-art equipment including multiple WindScanners (coherent Doppler lidars) and conducts field measurements at DTU's test site in Høvsøre and the Østerild National Test Centre for Large Wind Turbines.

Vesna BucevskaView profile

Professor

• Econometrics
• Financial Econometrics
• Statistics
• +1 more

Prof. Dr. Vesna Bucevska is a Full Professor in the Department of Mathematics and Statistics at the Faculty of Economics, Ss. Cyril and Methodius University in Skopje. She teaches Econometrics, Financial Econometrics, and Statistical Quality Control at undergraduate levels, and Theoretical Econometrics, Advanced Econometrics, and Statistical Quality Control at graduate levels. She also instructs doctoral candidates in Statistical Methods for Business and Economics and Demography. Her research spans four core domains: Econometrics : Theoretical modeling and applied statistical methods Financial Econometrics : Market analysis and risk assessment Statistics : Methodological innovations Statistical Quality Control : Process optimization frameworks She has authored 5 textbooks, 8 teaching guides, and 120 peer-reviewed publications in international journals. Her recent work focuses on European economic integration, labor markets, remittances, and FDI impacts in Southeast Europe. Administrative Leadership : Prodekan for Science & International Cooperation (2013-2018) Director: Doctoral/Master's programs in Statistical Methods for Business and Economics Coordinator: TEMPUS project consortium with Roma Tre University & Carlos III University of Madrid Editor-in-Chief: Journal of Contemporary Economic and Business Issues Awards : Best Scientist in Social Sciences, Ss. Cyril and Methodius University (2017) Global Engagement : Research visits to Cambridge, Bocconi University, Freie Universität Berlin, and lectures in 10+ countries. Fluent in English/German with intermediate Chinese; advanced user of EViews, SPSS, SAS, and Reuters EcoWin Pro.