جست‌وجوی استاد و پژوهشگر

• Climate Change
• Atmospheric Science
• Data Science
• +۳ مورد دیگر

Megan Lickley is an Assistant Professor at Georgetown University, holding dual appointments in the Graduate Earth Commons and the Edmund A. Walsh School of Foreign Service . Her research focuses on the drivers and impacts of climate change, integrating atmospheric science, mathematics, and policy to assess outcomes such as water resource management, rapid warming durations, and sea level change. She has contributed to the International Ozone Assessment , analyzing compliance with the Montreal Protocol and its implications for ozone-depleting substances and greenhouse gases. Dr. Lickley earned her Ph.D. from MIT and has extensive international experience: she taught mathematics in the Democratic Republic of Congo at the Catholic University of Bukavu and consulted for the World Bank in Uganda on climate change impact reports. Her work bridges disciplinary boundaries, employing Bayesian modeling and statistical frameworks to address global environmental challenges. Her research highlights include evaluating halocarbon emissions, stratospheric halogen levels, and the timing of precipitation change signals using advanced statistical methods. She has also explored adaptive water supply planning under climate uncertainties, emphasizing the role of learning in infrastructure resilience. Her findings underscore the urgency of policy-driven mitigation strategies and equity-focused adaptation measures in climate-sensitive sectors. Notably absent from her profile are formal lists of students or named awards, though her contributions to international climate assessments reflect her scholarly impact. Her work spans theoretical modeling, policy analysis, and applied environmental research, addressing both scientific and societal dimensions of climate change.

Dongchen Liمشاهده پروفایل

استادیار

• Actuarial Science
• Insurance Mathematics
• Financial Risk Management
• +۵ مورد دیگر

Dr. Dongchen Li is an Assistant Professor in the Department of Mathematics and Statistics at York University, where he has held this position since 2023. He is also an adjunct professor at Brock University. His expertise lies in stochastic optimization and its applications in insurance, finance, and economics, with a focus on actuarial science. Dr. Li holds a PhD in actuarial science from the University of Waterloo (2017) and previously served as an assistant professor at the University of St. Thomas (2017–2021) and Brock University (2021–2023). His research interests include optimal (re)insurance design, principal-agent problems in insurance, variable annuities, data science in insurance, and digital transformation in the insurance industry. His work has been published in top-tier journals such as Insurance: Mathematics and Economics , ASTIN Bulletin , and Journal of Risk and Insurance . His current research is funded by the Natural Sciences and Engineering Research Council (NSERC). Dr. Li is an Associate of the Society of Actuaries (ASA) and actively contributes to professional actuarial organizations. His research explores cutting-edge areas like machine learning applications in insurance and the digital evolution of insurance markets. His academic journey includes affiliations with multiple institutions, reflecting his interdisciplinary approach to advancing actuarial science and its practical applications in risk management and finance.

Dimitris Lagoudasمشاهده پروفایل

استاد

• Shape Memory Alloys
• Smart Materials
• Metamaterials
• +۵ مورد دیگر

Dimitris Lagoudas is a Professor in the Departments of Aerospace Engineering and Materials Science & Engineering at Texas A&M University, holding the Robert C. “Bud” Hagner Chair of Engineering and the title of University Distinguished Professor. His research focuses on smart materials, including shape memory alloys (SMAs), metamaterials, additive manufacturing, and structural batteries. He has pioneered work in active origami structures, functional fatigue of materials, and the design of multifunctional materials for aerospace and energy applications. Education: Postdoctoral studies in Theoretical and Applied Physics/Mechanics at Cornell University and the Max Planck Institute (1986–88); PhD in Applied Mathematics from Lehigh University (1986); Diploma in Mechanical Engineering from Aristotle University of Thessaloniki (1982). Research interests span SMA constitutive modeling, metamaterial bandgap engineering, and additive manufacturing of functional materials. His work emphasizes material behavior under extreme conditions, fatigue analysis, and integration of structural and energy functions in materials systems. Key contributions include the development of predictive models for SMA actuators, design frameworks for adaptive structures, and advancements in structural supercapacitors. His publications reflect interdisciplinary approaches combining mechanics, materials science, and data-driven methods. Scientific awards include the SPIE Smart Structures Lifetime Achievement Award (2012) and the ASME Adaptive Structures Prize (2006). His research has been supported by grants focusing on materials discovery, multifunctional systems, and aerospace applications. Advising and grants: While no student names are listed here, his work involves collaborative projects with industry and federal agencies. His labs focus on experimental and computational studies of advanced materials, with applications ranging from morphing aerospace systems to energy storage technologies.

Cecilia Garcia Penalosaمشاهده پروفایل

استاد

• Long-run growth
• Income inequality
• Gender economics
• +۳ مورد دیگر

Professor Cecilia Garcia Penalosa is a leading academic in economics, holding dual roles at the Aix-Marseille School of Economics (Aix-Marseille University) and the École des Hautes Études en Sciences Sociales , where she holds the Gender, Growth and Development chair. Her expertise spans long-run economic growth, inequality dynamics, and gender economics, combining applied theory and empirical methods. Education: DPhil in Economics from the University of Oxford Research Focus: Gender wage gaps, lifetime earnings inequality, historical fertility patterns in 19th-century Europe, and policy-relevant analysis. She serves as a member of the Conseil d'Analyse Économique (French Prime Minister’s advisory group) and the European Economy Advisory Group . She is an associate editor of the Journal of Economic Inequality and president-elect of the Society for the Study of Economic Inequality . Her work utilizes administrative and historical datasets to address structural economic questions. She collaborates with institutions like the Luxembourg Income Study and Women@ECB for gender-related research. She also contributes to policy forums such as the European Economy Advisory Group and the Council of Economic Advisors in France.

David Oakesمشاهده پروفایل

استاد

• Survival Analysis
• Multivariate Survival Data
• Clinical Trials (Parkinson's Disease, Huntington's Disease)
• +۵ مورد دیگر

David Oakes, PhD, is a **Professor (Part-Time)** in the Department of Biostatistics and Computational Biology at the University of Rochester School of Medicine and Dentistry (SMD). He holds dual affiliations with the Department of Statistics and has been actively involved in clinical trials for neurodegenerative diseases such as Parkinson’s and Huntington’s. His research focuses on survival analysis, frailty models, and the application of statistical methods in clinical and environmental medicine. Education: PhD in Statistics (1972), London University BA in Arts & Sciences (1968), London University Research Interests: Survival analysis methodology, particularly bivariate models and frailty approaches Clinical trial design and analysis, including the win-ratio method for multiple outcomes Applications in neurology (Parkinson’s, Huntington’s), cardiology, and occupational/environmental health His work bridges theoretical statistics and practical biomedical challenges, with over 200 peer-reviewed publications and four authored books. Key Contributions: Editor of Lifetime Data Analysis since 2008, former associate editor of Biometrika , and contributor to NIH Study Sections on Biostatistics and Epidemiology of Cancer. His awards include Fellowships from the ASA and IMS, and election to the ISI. Advising & Collaborations: Advised 11 graduate students, four of whom became full professors. Collaborates with neurologists and epidemiologists on trials evaluating treatments for movement disorders. Labs/Teams: Leads statistical research within the Department of Biostatistics and Computational Biology at URMC, contributing to interdisciplinary teams in clinical and translational science.

Paul Huffmanمشاهده پروفایل

استاد

• Nuclear Physics
• Neutron Physics
• Standard Model Testing
• +۴ مورد دیگر

Paul Huffman is a Professor and Department Head in the Department of Physics at North Carolina State University, affiliated with the College of Sciences. He holds a joint appointment with the Physics Division of Oak Ridge National Laboratory (ORNL) and is a member of the Triangle Universities Nuclear Laboratory. His career includes postdoctoral work at Harvard University and a staff role at the National Institute of Standards and Technology (NIST). Education: B.S. in Physics from NC State (1990), M.A. (1992) and Ph.D. (1995) in Physics from Duke University. Research focuses on neutron-based experiments to probe the Standard Model and weak interaction through beta decay and neutron-nucleon processes. Key areas include neutron source development (e.g., ultra-cold neutrons for precision measurements), neutron imaging for fuel cells, and cryogenic apparatus design. Recent work emphasizes ultra-cold neutron production, neutron spin dynamics, and precision measurements of neutron properties. Publications highlight advancements in neutron polarization systems, reactor neutron moderation, and cryogenic deuterium growth for UCN facilities. Experimental methodologies span low-temperature physics, precision beam characterization, and statistical decay analysis. Paul’s roles include leadership in academic administration and collaborations across national laboratories. He contributes to facilities like the Spallation Neutron Source at ORNL and maintains active involvement in interdisciplinary projects linking nuclear physics with engineering applications.

Iqbal Owadallyمشاهده پروفایل

استاد

• Actuarial Science
• Actuarial Statistics
• Investment Management
• +۱۹ مورد دیگر

Dr. Iqbal Owadally is a Reader in Actuarial Science at the Bayes Business School , City, University of London , where he has been a faculty member since 2000, progressing from Lecturer to Senior Lecturer. He is actively engaged in research, teaching, and academic leadership within the Faculty of Actuarial Science and Insurance. Education: PhD, City, University of London MSc, City, University of London MA, University of Cambridge Diploma in Actuarial Techniques, Institute and Faculty of Actuaries Diploma in Modern Languages Fellowship of the Higher Education Academy Research Interests: Dr. Owadally’s work focuses on actuarial science, financial economics, pension funding, portfolio optimization, stochastic modeling, agent-based modeling, and time series analysis . He explores risk measurement, long-term savings, sustainable investment, and retirement planning, often integrating computational and statistical methods to model complex financial and insurance systems. Publication Trends: His recent work (2018–2025) emphasizes life-cycle modeling, retirement investment strategies, deferred annuities, sustainable investing , and agent-based simulations of insurance markets . There is a strong focus on data mining, mortality projection, and behavioral aspects of financial decision-making , reflecting an interdisciplinary approach combining actuarial rigor with computational and economic insights. Scientific Awards and Grants: £4000 Grant from City University (2010) for teaching innovation Nominated for Student Voice Award (2010) Grants from the Bank of England and the Society of Actuaries Advising and Leadership: Dr. Owadally has supervised multiple PhD students including Andrea Buffoli, Chul Jang, Feng Zhou, Denise Gomez-Hernandez, and Bernard Ngwira . He has held leadership roles such as MSc Course Director and Admissions Tutor. He serves as an Associate Editor for the International Journal of Finance and Economics and has refereed for numerous top journals in actuarial science and finance. He was a Guest Scholar at the IMT Institute of Advanced Studies, Lucca, Italy until 2016. Laboratories and Research Teams: His research is associated with interdisciplinary teams working on complexity economics, agent-based modeling, and financial stability , often in collaboration with institutions like the Bank of England and international actuarial bodies.

Palash Banerjeeمشاهده پروفایل

استاد

• Nanoscale Magnetism
• Scanning Probe Microscopy
• Experimental Physics
• +۷ مورد دیگر

Palash Banerjee is a Professor in the Department of Physics and Astronomy at the University of Wisconsin-Stevens Point, College of Letters and Science. He serves as the Principal Investigator of the Applied Physics and Instrumentation Laboratory, where he conducts experimental research and mentors undergraduate students in advanced physics projects. His educational background includes a Ph.D. in Physics from Boston University and M.S. and B.S. degrees in Physics from the Indian Institute of Technology Kharagpur. Professor Banerjee's research focuses on experimental physics with emphasis on nanoscale magnetism, scanning probe microscopy, quantum tunneling, and instrumentation development. His lab specializes in building custom hardware to study fundamental physics phenomena. Current projects include developing a photon correlator for fluorescence correlation spectroscopy with applications in biophysics and constructing a dynamic magnetic trap to confine neutral objects in free space, treating them as artificial atoms. Past projects have involved laser interferometry, ultrahigh vacuum systems for magnetic studies, electron quantum tunneling measurements, semiconductor transport properties, and a muon observatory using coincidence techniques. His recent publications focus on magnetic force microscopy techniques, particularly examining spin lifetimes and probe field effects at the nanoscale, demonstrating his expertise in advanced magnetic measurement techniques. WSGS/NASA funding (2020-2021) for research on coincident counting of cosmic muons He actively mentors undergraduate researchers, integrating them into all stages of experimental design, construction, and data analysis. Students gain hands-on experience in experimental physics, hardware design, programming (LabVIEW, Python), and technical project management. He encourages students from diverse backgrounds, including biochemistry majors, to participate in interdisciplinary research that strengthens their applications for graduate studies or industry positions. His laboratory is equipped with state-of-the-art instruments, an electronics design area, a machine shop, and software environments for hardware programming and data analysis. The lab fosters a collaborative environment where students contribute significantly to expanding the lab's experimental capabilities.

• Experimental Nuclear Physics
• Nuclear Structure
• Gamma-ray Spectroscopy
• +۱۲ مورد دیگر

Marco Siciliano is an Assistant Physicist in the Physics Division at Argonne National Laboratory, USA, where he conducts cutting-edge research in experimental nuclear structure physics. He has held postdoctoral positions at CEA Paris-Saclay, France, and INFN-Laboratori Nazionali di Legnaro, Italy, and earned his Ph.D. from the University of Padova, Italy, in collaboration with INFN. Education: Ph.D. in Experimental Nuclear Physics (Doctor Europaeus), 2014–2018, Università degli Studi di Padova & INFN-Laboratori Nazionali di Legnaro, Italy Master’s degree in Physics, 2011–2013, Università degli Studi di Padova, Italy & University of Jyväskylä, Finland Bachelor’s degree in Physics, 2008–2011, Università degli Studi di Padova, Italy His research centers on nuclear structure , particularly using gamma-ray spectroscopy with advanced arrays like AGATA , GRETINA , and Gammasphere . He investigates lifetime measurements , shape coexistence , and pairing-quadrupole interplay in neutron-deficient and semi-magic nuclei. His recent work integrates machine learning and modern data analytics to enhance data processing from large gamma-ray spectrometers. The recent publications highlight a strong trend in precision spectroscopy of exotic nuclei near shell closures, with emphasis on lifetime measurements and instrumentation development. His work bridges experimental techniques with theoretical interpretations in nuclear structure physics. Scientific Awards: ANL-PSE Early Investigator Named Award (2022) – Development of MOSAIC for reaction studies at Argonne DOE-NP Data Analysis FOA (2021) – Machine learning for GRETINA/GRETA and Gammasphere GANIL Thesis Award – For Ph.D. work on tin isotopes near 100Sn Marco leads and contributes to significant research grants focused on next-generation nuclear instrumentation and data science. He collaborates internationally within major collaborations such as AGATA and OASIS. While no advisees are listed, his role involves mentoring through collaborative research. He is involved in the development of the MOSAIC project at Argonne, aimed at reaction studies, and continues to optimize data production in gamma-ray spectroscopy. He is actively engaged in experimental teams utilizing national user facilities including Argonne Leadership Computing Facility and advanced detector systems. His work is central to the Physics Division’s mission in discovery science and nuclear structure research.

• Data Assimilation
• Numerical Multiscale Methods
• Stochastic Systems
• +۳ مورد دیگر

Dr. John Maclean is a Lecturer in Data Science and Statistics at the University of Adelaide, affiliated with the School of Computer and Mathematical Sciences within the Faculty of Sciences, Engineering and Technology. His research focuses on Data Assimilation (DA) and Numerical Multiscale Methods, with particular interests in coherent structure DA, projected DA, non-Gaussian measurement error modeling, and surrogate-based DA techniques. He also explores projective integration and patch dynamics for stiff systems and spatially heterogeneous problems. His work addresses challenges in combining uncertain model forecasts with data, accelerating simulations of complex systems, and designing efficient statistical surrogates. Notable contributions include methodologies for adaptive moving patches in multiscale simulations and theoretical insights into stochastic processes and uncertainty quantification. Dr. Maclean is actively involved in supervising postgraduate research students and is open to mentoring those interested in his research areas. His publications span topics from data assimilation algorithms to environmental and computational modeling, reflecting his interdisciplinary approach to applied mathematics and computational science.

• Cell migration
• Cancer metastasis
• Actin cytoskeleton dynamics
• +۷ مورد دیگر

Professor Laura Machesky is an Affiliate at the School of Cancer Sciences, University of Glasgow. With a distinguished career spanning several decades, she has made significant contributions to our understanding of cell migration, cancer metastasis, and actin cytoskeleton dynamics. Her research has been widely published in high-impact journals, focusing on how cellular mechanics and signaling pathways contribute to cancer progression. Professor Machesky's primary research interests center around the actin cytoskeleton and its role in cell migration and cancer metastasis. Her work particularly investigates how proteins like CYRI, Rac1, and the WAVE regulatory complex control cell movement and invasion. She has made significant contributions to understanding how pancreatic cancer cells migrate and metastasize, with a focus on macropinocytosis, integrin regulation, and mechanical properties of the tumor microenvironment. Her research combines molecular, cellular, and in vivo approaches to unravel the complex mechanisms driving cancer progression. Analysis of Professor Machesky's recent publications reveals a consistent focus on the molecular mechanisms of cancer cell migration and metastasis. Her work prominently features studies on CYRI proteins and their role in regulating actin dynamics during the "eat vs walk" decision in cells. There's also a strong emphasis on pancreatic cancer research, melanoma, and the development of advanced imaging techniques to study cellular processes. Her research bridges basic cell biology with clinically relevant cancer mechanisms, providing insights that could inform future therapeutic strategies. While specific grant details aren't provided in the available information, Professor Machesky's extensive publication record suggests sustained research funding supporting her investigations into cell migration and cancer metastasis mechanisms. Her work has fostered numerous collaborations across disciplines, integrating cell biology, cancer research, and advanced imaging techniques. Her laboratory appears to focus on the intersection of cell biology and cancer research, with particular emphasis on the actin cytoskeleton's role in cancer cell migration. The research team likely combines molecular biology, live-cell imaging, and animal models to investigate how cancer cells invade and metastasize, with special attention to pancreatic cancer and melanoma models.

Jonathan Calofمشاهده پروفایل

استاد

• Anticipatory systems
• Competitive Intelligence
• Foresight
• +۵ مورد دیگر

Dr. Jonathan Calof is a Full Professor of International Business and Strategy at the Telfer School of Management, University of Ottawa, and serves as the UNESCO co-chair on anticipatory systems for innovation and venture creation. He holds honorary positions at institutions worldwide, including Honorary Professor at Yunnan Normal University and Leading Research Fellow at the Institute for Statistical Studies and Economics and Knowledge in Moscow. His expertise spans competitive intelligence, foresight, and business analytics, with a focus on developing anticipatory systems for organizational innovation. Dr. Calof holds a B.A. from Carleton University, an M.B.A., and a Ph.D. from the University of Western Ontario. His research explores anticipatory systems, competitive intelligence applications, and innovation management. He has authored over 200 publications, including books like Gaining Market Insights from Events , and contributes regularly to journals like Journal of Intelligence Studies in Business and Competitive Intelligence Magazine . His awards include Frost and Sullivan’s Lifetime Achievement Award in Competitive Intelligence and SCIP’s Fellow’s and Distinguished Member awards. He advises companies and government agencies globally and chairs the Pearson Center’s Economy for Tomorrow program, addressing future policy challenges. His work emphasizes leveraging foresight and data analytics to drive strategic decisions in volatile markets.

Hugo Fastlمشاهده پروفایل

استاد

• Psychoacoustics
• Audio-Visual Interactions
• Audio Communication
• +۵ مورد دیگر

Prof. Hugo Fastl is a Professor at the Technical University of Munich (TUM), holding a position in the TUM School of Computation, Information and Technology, and leading the Chair of Human-Machine Communication. His research integrates engineering and acoustics, focusing on psychoacoustics, audio-visual interactions, and applications in noise assessment, sound quality design, and hearing disorder diagnosis. A pioneer in interdisciplinary acoustics, he has contributed to audio technology and musical acoustics. Prof. Fastl earned his Dipl.-Ing. in Electrical Engineering (1970) and studied Music at the Munich University of Music (1969), majoring in double bass. He completed his doctorate (1974) and habilitation (1981) at TUM, later serving as a visiting professor at Osaka University (1987) and as an associate professor of technical acoustics at TUM (1991). His career has spanned academia and industry, blending theoretical and applied research. His scientific contributions include seminal work on psychoacoustic parameters in automotive noise assessment and foundational textbooks like Psychoacoustics: Facts and Models (2007). Key awards include the EAA Lifetime Achievement Award (2017) and the Rayleigh Medal (2003). His research bridges engineering principles with human perception, addressing both technical and auditory challenges in communication systems. Prof. Fastl’s work extends to video quality assessment and signal processing innovations, as seen in his development of a hybrid metric for digital video quality (2011) and blind estimation of blocking artifacts (2010). His interdisciplinary approach underscores the intersection of technology and human experience.

• Atmospheric Sciences
• Cloud Physics
• Atmospheric Aerosols
• +۵ مورد دیگر

Edward Gryspeerdt is a Lecturer in Atmospheric Physics at Imperial College London's Department of Physics (Faculty of Natural Sciences). His research focuses on cloud physics, aerosol impacts, and climate modeling. He leads studies on aerosol effects from shipping/aviation, using global climate models, satellite data, and ground observations. Key affiliations include the Earth Observation Network, Grantham Institute, Space Lab, and the Space and Atmospheric Physics Group. Research interests emphasize aerosol-cloud interactions, contrail formation, and anthropogenic impacts on climate systems. His work bridges satellite remote sensing with climate models to quantify radiative forcing and cloud feedback mechanisms. Current projects address challenges in detecting aerosol effects using satellite data and evaluating climate engineering proposals like marine cloud brightening. Recent publications analyze contrail detection limitations, ship track observations, and aviation climate impacts. He collaborates on global climate model intercomparisons and observational constraint methodologies. No scientific awards are explicitly listed, though his work contributes to major climate science initiatives.

Sarah E. Cprekمشاهده پروفایل

استادیار

• Public Health Education
• Science of Teaching and Learning
• Student Engagement
• +۳ مورد دیگر

Dr. Sarah E. Cprek is an Assistant Professor in the Department of Health Management and Policy and Assistant Dean for Undergraduate Affairs at the University of Kentucky’s College of Public Health. She holds a PhD (2021) and MPH (2014) from the University of Kentucky. Her research spans maternal/child health (focusing on ACEs and parenting practices) and teaching/learning science (student engagement and curriculum design). She has led/co-led 9 grants including collaborations with Great Kids, Inc. and Kentucky Cabinet for Health and Family Services. Dr. Cprek has won major teaching awards including the 2025 ASPPH Early Career Teaching Excellence Award and 2022 UK Outstanding Faculty Teaching Award. She serves on university-wide education councils and national groups like ASPPH Undergraduate Leadership Group. Her work has generated 15+ peer-reviewed articles and national presentations. Key roles include Director of Undergraduate Studies and leadership in experiential learning initiatives. Her current focus is enhancing public health education through high-impact practices like book clubs and scaffolded curricula.