جست‌وجوی استاد و پژوهشگر

• Applied econometrics
• panel data econometrics
• agricultural economics
• +۲ مورد دیگر

Professor Şaban NAZLIOĞLU is a faculty member at Pamukkale University, Department of International Trade & Finance, Faculty of Economics and Administrative Sciences, Denizli-Turkey. He has been serving as a Professor since 2018, following previous roles as Associate Professor (2012-2018), Assistant Professor (2011-2012), and Research Associate (2010-2011) at the same institution. He has extensive experience in academic administration, having served as Chair of the Department of Econometrics (2011-2014, 2016-2018) and Coordinator of the Scientific Research Projects Unit (2016-2018). Dr. NAZLIOĞLU received his undergraduate education at Erciyes University, Faculty of Economics and Administrative Sciences, Department of Management (2002), followed by a Master's degree in Economic Policy (2006) and PhD in Economic Policy (2010), both from Erciyes University's Institute of Social Sciences. His research interests center on applied econometrics, panel data econometrics, agricultural economics, commodity prices, and international trade. He has developed innovative methodological approaches in panel stationarity testing with gradual structural shifts, contributing significantly to the field of econometrics. His work bridges theoretical econometric developments with practical applications in energy markets, agricultural economics, and international finance. Dr. NAZLIOĞLU's research has resulted in numerous publications in high-impact journals, with a focus on panel data methods, unit root testing, causality analysis, and their applications to energy, agricultural, and financial markets. His work demonstrates a consistent pattern of methodological innovation applied to substantive economic questions, particularly in emerging markets and international contexts. TÜBA (Turkish Academy of Sciences) "The Outstanding Young Scientists Award (GEBIP)-2015" TÜBİTAK (Scientific and Technological Research Council of Turkey) "Incentive Award-2015" Pamukkale University Social Sciences "Science Award-2016" Pamukkale University Social Sciences "Research Performance Award-2012" Dr. NAZLIOĞLU has supervised numerous graduate students and has been actively involved in research projects, including "A New Panel Unit Root Test with Gradual Structural Shifts" (TÜBİTAK-SOBAG 1001/Project No: 215K086) and "Are Commodity Price Shocks Temporary or Permanent? A New Perspective with Panel Unit Root Analysis" (TÜBA-GEBİP 2015). He has served as a referee for prestigious journals including Agricultural Economics, Economic Modelling, Energy Economics, and others. He is an active member of professional organizations such as the International Association for Applied Econometrics (IAAE), International Trade and Finance Association, and Society for the Study of Emerging Markets. He has developed the GAUSS TSPD Library for Time Series and Panel Data Methods, which is publicly available on GitHub. This library covers several unit root, co-integration & causality tests, demonstrating his commitment to sharing methodological tools with the broader research community.

Matei Candeaمشاهده پروفایل

استاد

• Social Anthropology
• Ethics
• Political Anthropology
• +۸ مورد دیگر

Professor Matei Candea is a social anthropologist at the University of Cambridge , affiliated with the Department of Social Anthropology and King's College . His research explores ethics, epistemology, materiality, and political subjectivity , with regional focus on Europe and the Mediterranean . He leads the ERC-funded Risking Speech project , analyzing debates over freedom of speech in Europe, and has conducted fieldwork on Corsica, human-animal relations, and anthropological comparison. Current research on European free speech debates Methodological interest in comparative anthropology Teaching roles in undergraduate and postgraduate programs Matei's recent publications cluster around free speech and comparative reasoning , including works on metapragmatic struggles , liberal speech frameworks , and ethical imaginaries . His scholarship bridges political anthropology and philosophical inquiry , with theoretical engagements on Bourdieu, Michel Serres, and the ethics of description. The Risking Speech project's findings inform his analysis of speech regulation and political subjectivity in contemporary Europe.

Brian Kovakمشاهده پروفایل

دانشیار

• Economics
• Public Policy
• International Migration
• +۳ مورد دیگر

Brian Kovak is an Associate Professor of Economics and Public Policy at Carnegie Mellon University's Heinz College of Information Systems and Public Policy. He holds the Dean's Career Development Professorship at Heinz College and maintains significant affiliations as a Faculty Research Fellow at the National Bureau of Economic Research (NBER) and a Research Fellow of the Institute for the Study of Labor (IZA). His scholarly contributions reach across multiple institutions and academic journals, reflecting his prominence in the field of labor economics and international trade. Ph.D., Economics, University of Michigan Master of Public Affairs, Indiana University B.S., Computer Engineering, Penn State University Brian Kovak's research examines the economic effects of international migration and trade with a focus on local labor markets. His work investigates how worker mobility responds to local labor market conditions, particularly the role of immigrants' geographic mobility in equalizing wage differences for native-born workers across U.S. local labor markets. He also studies the local labor market effects of trade liberalization, developing theoretically motivated empirical approaches based on specific-factors models of local economies. His research spans multiple countries, including extensive work using household survey and matched employer-employee data from Brazil to study the effects of liberalization on wages, employment, informality, and the skill premium. Analysis of Kovak's recent publications reveals a consistent focus on how migration and trade policies affect local labor market dynamics. His work demonstrates sophisticated methodological approaches that bridge theoretical economic models with empirical evidence from diverse contexts. The research shows particular attention to how economic shocks transmit across regions through migration networks and how trade liberalization affects different segments of the workforce. His publications in top economics journals demonstrate the significance of his contributions to understanding the intersection of international economics and labor market outcomes. IZA Young Labor Economist Award (2014) for best peer-reviewed journal publication in labor economics by authors under age 40 Beyond his research, Kovak serves as an Associate Editor of the Journal of Development Economics, contributing to scholarly discourse in his field. His work has attracted significant funding, including NSF grants (award #1851679) for research on wage insurance for displaced workers and another NSF grant (award #1854051) on emerging technologies, labor outcomes, and policy responses. His research has garnered substantial attention from both academic and policy communities, with coverage in major media outlets including the New York Times, Financial Times, Wall Street Journal, and Washington Post. Kovak's scholarly impact extends through his collaborations with numerous researchers across institutions, creating a substantial body of work that informs both academic understanding and policy development in international economics and labor markets.

Benaissa Chidmiمشاهده پروفایل

دانشیار

• Industrial Organization
• Food Marketing
• Agribusiness
• +۲ مورد دیگر

Benaissa Chidmi , an Associate Professor in the Department of Agricultural and Applied Economics at Texas Tech University , specializes in industrial organization, food marketing, agribusiness, and consumer demand analysis. He teaches Applied Econometrics and Demand and Price Analysis . Education Ph.D. in Agricultural and Resource Economics, University of Connecticut (2006) M.S. in Applied Financial Mathematics, University of Connecticut (2006) M.S. in Agricultural and Resource Economics, University of Connecticut (2002) M.S. in Food Engineering, Institut Agronomique et Vétérinaire Hassan II, Morocco (1996) Research Trends Chidmi's research spans diverse applications of econometric modeling, including consumer food demand systems , energy economics , agricultural productivity , and industrial organization . His recent work (2025) examines Saudi Arabia's coffee import demand , machine learning in US residential energy usage , and animal protein consumption patterns . Earlier studies (2024-2019) focus on technical efficiency in cereal production, asymmetric price transmission in energy markets, and nutrient demand analysis in Sri Lanka. Key Methodologies Almost Ideal Demand System (AIDS) modeling Quantile regression analysis Random coefficients and logit demand models Machine learning applications in economics Censored regression techniques Technical efficiency measurement

Anne Ferguson-Smithمشاهده پروفایل

استاد

• Genomic Imprinting
• Epigenetics
• Developmental Genetics
• +۳ مورد دیگر

Professor Anne Ferguson-Smith is a leading mammalian developmental geneticist and epigeneticist at the University of Cambridge, holding the Arthur Balfour Professorship of Genetics. As Pro-Vice-Chancellor for Research, she oversees the university's research strategy while maintaining her laboratory's focus on genomic imprinting and epigenetic inheritance . Her work bridges experimental and computational approaches through affiliations with the Cambridge Stem Cell Institute, Cambridge Neuroscience, and the Centre for Trophoblast Research. Research in her lab investigates epigenetic mechanisms in developmental processes , particularly through the lens of Dlk1-Dio3 imprinted domain studies. Current themes include: Stem cell epigenetic programming Environmental modulation of epigenetic states Role of repetitive elements in genomic regulation Her group integrates mouse and zebrafish models with high-throughput genomics and mathematical modeling . Key collaborations include: Wellcome Trust UKRI Medical Research Council BBSRC NIH Scientific honors include: Elected EMBO Member (2006) Academy of Medical Sciences (2012) Fellow of the Royal Society (2017) Commander of the Order of the British Empire (CBE) The lab maintains family-friendly research practices and actively participates in interdisciplinary collaborations across Cambridge and internationally.

• Neuropharmacology
• Metabolic Disease Research
• Neuroendocrinology
• +۵ مورد دیگر

Paula Goforth is an Assistant Professor at the University of Michigan Medical School , affiliated with the Department of Pharmacology and the Caswell Diabetes Institute . Her research focuses on the intersection of neuropharmacology and metabolic disease, particularly leptin signaling, orexin regulation, and hypothalamic circuits controlling glucose homeostasis and energy balance. Education: Postdoctoral training at Virginia Commonwealth University School of Medicine (2000-2004), specializing in Pharmacology under Dr. Satin LS. Her work explores neuron-specific metabolic regulation , including calcium channel modulation in obesity, orexin-glucose axis dynamics, and GABA-independent hypothalamic signaling. She employs techniques such as cell-type-specific circuit dissection and synaptic physiology to study these mechanisms. Recent publications highlight her expertise in leptin-regulated pathways , area postrema neuron function , and traumatic brain injury-related receptor changes , with implications for diabetes, obesity, and neurodegenerative diseases. Scientific Awards: NIH grants spanning 2013-2029, including dual awards for leptin action and gut-brain axis research Industry collaborations with Eli Lilly, Pfizer, and MedImmune LLC University of Michigan institutional support for diabetes/metabolic research Dr. Goforth's laboratory investigates metabolically coupled ion channels and neuronal population dynamics in metabolic disease models, with a strong emphasis on translational neuroscience applications.

Ottar Bjornstadمشاهده پروفایل

استاد

• Population Ecology
• Epidemiology
• Mathematical Biology
• +۲ مورد دیگر

Ottar Bjornstad is a Distinguished Professor of Entomology and Biology at Pennsylvania State University, holding the Huck Chair of Epidemiology. He is affiliated with multiple research centers, including the Center for Infectious Disease Dynamics, One Health Microbiome Center, and Center for Mathematical Biology. His research focuses on population ecology, epidemiological modeling, and the mathematical foundations of infectious disease dynamics. He investigates how climate change affects ecological systems, transmission patterns of zoonotic diseases, and the interplay between host demographics and disease spread. Recent publications highlight his work on dengue virus transmission, vaccine distribution logistics, and age-structured epidemic models. His studies span disciplines including ecology, virology, and computational epidemiology. Elected to Norwegian Academy of Sciences and Letters (2021) He collaborates with institutions worldwide, addressing global health challenges like Lassa virus spread and measles persistence mechanisms. His methodological contributions include statistical frameworks for epidemic analysis and spatial synchrony metrics.

Matthew Ferrariمشاهده پروفایل

استاد

• Public Health
• Quantitative Epidemiology
• Population Ecology
• +۷ مورد دیگر

Matthew Ferrari serves as Director of the Center for Infectious Disease Dynamics and Professor of Biology at Pennsylvania State University's Eberly College of Science. His research integrates mathematical and statistical approaches to address critical questions in infectious disease dynamics, with particular expertise in vaccine-preventable diseases like measles and rubella. He holds the distinguished position of Huck Career Development Professor, reflecting his significant contributions to interdisciplinary research at Penn State. Dr. Ferrari's research program focuses on developing mathematical and statistical tools to understand disease incidence patterns and the effects of heterogeneity in time and space. He emphasizes that 'models are only as good as the data upon which they are based,' leading him to work directly with ministries of health to design surveillance systems that efficiently allocate vaccination efforts for disease control and elimination. His work on measles dynamics in low and middle-income countries addresses why measles virus still kills over 100,000 children annually despite available vaccines, collaborating with the World Health Organization, Médecins Sans Frontières, US-CDC, and the Bill & Melinda Gates Foundation. His extensive publication record demonstrates a consistent focus on vaccine-preventable diseases, with recent work increasingly addressing the impact of the COVID-19 pandemic on routine immunization programs. Dr. Ferrari has developed statistical methods used by the WHO to estimate global measles mortality burden, analyzing time series as partially observed Markov processes to both estimate infection burden and fit dynamical transmission models. His research consistently bridges theoretical modeling with practical public health applications across numerous countries including China, Democratic Republic of Congo, Ethiopia, India, Niger, Nigeria, Madagascar, Malawi, Pakistan, and Zambia. Director of the Center for Infectious Disease Dynamics Huck Career Development Professor Professor of Biology at Pennsylvania State University Active collaborator with WHO, CDC, Gates Foundation Dr. Ferrari leads multiple research initiatives including Data4Action, which has measured the pandemic's impact on local communities for two years. His work has been instrumental in developing evidence-based vaccination strategies and informing global health policy. He maintains an active presence in both academic and public health spheres, regularly contributing to policy discussions and media commentary on infectious disease dynamics.

• Economic History
• Financial History
• Migration Studies
• +۵ مورد دیگر

Donatella Strangio serves as Professor of Economic History and Director of the Department of Methods and Models for the Economy, Territory and Finance (Memotef) at Sapienza University of Rome. She also holds the position of Deputy Rector for Chile and Brazil in the Latin America and Caribbean region. Her academic leadership extends to directing international research projects including the European Project PNRR Changes 5 and the Jean Monnet Project EUMCHA. Her research spans economic development and underdevelopment, financial history, tourism economics, international migration patterns, and colonial-decolonization processes. She examines these topics through historical lenses, particularly focusing on pre-industrial economic systems, 20th century European history, famines, food policies, and institutional evolution. Her work often bridges historical analysis with contemporary policy challenges. Professor Strangio's recent publications demonstrate strong thematic coherence across economic history, with particular emphasis on resilience mechanisms during crises, migration as knowledge transmission, and tourism's economic dimensions. Her scholarship shows consistent engagement with both Italian and global contexts, especially regarding Mediterranean and Latin American connections. She actively mentors through multiple master's programs including the Master in Migration and Development and the Master in Tourism Economics and Management. Her leadership in the Civis short-term courses on Crisis Sustainability and Cultural Heritage Enhancement demonstrates commitment to innovative teaching approaches. Professor Strangio directs significant research initiatives including the Spoke9 of PNRR Cultural Heritage and coordinates the Scientific Guarantee Committee for the 'Repertory of Italian banks from 1861 to today.' Her international collaborations span Columbia University, Universidad de Quilmes, University of Adelaide, London School of Economics, and numerous Latin American institutions.

• Linguistics
• Language Evolution
• Cultural Evolution
• +۵ مورد دیگر

Anna Jon-And is a Researcher and Director of the Center for Cultural Evolution at Stockholm University , affiliated with the Department of Psychology . Her interdisciplinary work bridges linguistics , cognitive science , and cultural evolution , focusing on how sequence representation , language contact , and computational models explain the emergence of human language and its unique properties. Research Interests include: Language evolution through sequence learning and cognitive constraints Contact-induced language change in Portuguese varieties (Angola, Mozambique, Afro-Brazilian communities) Computational modeling of grammatical structure emergence Comparative analysis of pidgins, creoles, and non-contact languages Neurocognitive prerequisites for language and cultural complexity Publications highlight trends in language evolution models , compositional systems , and cross-linguistic complexity cycles . Her work demonstrates how demographic factors and learnability pressures drive linguistic innovation in multilingual settings. The Center for Cultural Evolution at Stockholm University serves as the primary platform for her interdisciplinary research initiatives.

• Media Economics
• Artificial Intelligence in Communication
• Film and Audiovisual Studies
• +۲ مورد دیگر

Dr. Mei Nan is an Associate Professor in the Department of Communication at Tongji University's School of Art and Media. With a career spanning since 2004, she previously held positions at Chang'an University before joining Tongji in 2017. Her academic credentials include a Master's from Shaanxi Normal University, postgraduate studies at Communication University of China, and ongoing doctoral research at Xi'an Jiaotong University's School of Economics and Finance. Research Expertise Her research bridges media economics, AI-driven communication paradigms, and film studies, with specific focus areas including: Media economics and corporate governance interactions Artificial intelligence's impact on communication theory Film/audiovisual language analysis Media culture evolution Marketing models in digital ecosystems Teaching Portfolio Dr. Nan teaches both undergraduate courses ( Audiovisual Language, Chinese/Foreign Film History, Media Culture, Chinese Film Appreciation ) and graduate seminars ( Intelligent Communication Theory and Practice ). Her pedagogical approach integrates contemporary media developments with theoretical foundations. Awards and Grants Tongji University Hongda Award (2021) Tongji Cup General Education Course Paper Competition Teaching Teacher Excellent Organization Award (2021) Principal Investigator: Shanghai Philosophy and Social Science Planning Project (2018BGL025) studying media impact on corporate recovery

Giorgio Ottonelloمشاهده پروفایل

استادیار

• Empirical Asset Pricing
• OTC Markets
• Institutional Investors
• +۲ مورد دیگر

Giorgio Ottonello is a tenure-track Assistant Professor of Finance at NOVA School of Business and Economics (NOVA SBE), part of NOVA University Lisbon in Portugal. His research focuses on empirical asset pricing in fixed-income markets, with emphasis on institutional investor behavior, OTC market dynamics, and credit-liquidity risk interactions. Education: PhD in Finance, Vienna Graduate School of Finance (2019) M.Sc. in Quantitative Finance, Vienna University of Economics and Business (2014) Bachelor of Business Administration, University of Genoa (2012) Research Focus: Ottonello's work employs large-scale empirical methods to investigate institutional investor behavior in fixed-income markets, particularly examining OTC market microstructure and the interplay between credit risk and liquidity risk . His research demonstrates how regulatory changes alter credit rating informativeness and how macroeconomic shocks create reverse causality in credit markets, revealing novel transmission channels between real economy developments and financial markets. Publication Trends: His 10 most recent publications (2019-2024) appear in top finance journals including the Journal of Finance and Review of Corporate Finance Studies, showing consistent focus on fixed-income market anomalies. Key themes include inventory constraints in underwriting, benchmarking effects, and cyber risk transmission, with methodology emphasizing causal identification through natural experiments and high-frequency data analysis. Scientific Recognition: RAPS Best Paper of the Year Award (2022) for groundbreaking work on underwriter inventory constraints Academic Leadership: Ottonello supervises Master's theses at NOVA SBE in empirical asset pricing and sustainable finance, while teaching core investments courses. His exceptional teaching evaluation (5.3/6) reflects effective pedagogy in quantitative finance, building on prior experience teaching at WU Vienna where he received perfect scores (1.0/6) for finance paper writing instruction. He actively contributes to academic discourse through frequent presentations at major finance conferences including FIRS, EFA, and SGF.

Pamela P Martinezمشاهده پروفایل

استادیار

• Computational Biology
• Host-Pathogen Interactions
• Infectious Diseases
• +۳ مورد دیگر

Pamela P Martinez serves as an Assistant Professor at the University of Illinois Urbana-Champaign within the College of Liberal Arts & Sciences, holding concurrent appointments in Microbiology, Statistics, and the Center for Latin American and Caribbean Studies. Her research program integrates computational modeling with epidemiological data to address critical questions in infectious disease dynamics. Her primary research focuses on the interplay between ecological and evolutionary processes in pathogens, specifically investigating how climatic and demographic factors shape spatial-temporal disease patterns and how pathogen diversity influences public health interventions. She employs mathematical and computational approaches applied to longitudinal time-series data, with particular emphasis on SARS-CoV-2, dengue, malaria, and rotavirus. Her work bridges theoretical epidemiology with practical public health applications, often incorporating climate science and socioeconomic variables. Analysis of her 15 most recent publications (2021-2025) reveals consistent themes across computational biology, climate-infectious disease interactions, and pandemic response. Key trends include the development of novel modeling frameworks for pathogen evolution (e.g., ortholog refinement algorithms), quantification of climate drivers on tropical diseases, and rigorous assessment of intervention strategies during the COVID-19 pandemic. Her research demonstrates increasing integration of high-resolution mobility data, immune history analysis, and equity considerations in infectious disease modeling. No scientific awards are documented in the available information. Details regarding student mentorship, grant funding, laboratory infrastructure, or collaborative research teams are not provided in the source materials.

• Operational Research
• Logistics
• Stochastic Optimization
• +۳ مورد دیگر

Michel Gendreau is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds a B.Com. from McGill University, and both an M.Sc. and Ph.D. from the University of Montreal. His research focuses on operational research with applications in logistics, transportation, energy systems, and telecommunications. He is affiliated with several prestigious research centers including the Institute for Data Valorization (IVADO), the Trottier Energy Institute (IET), and the Interuniversity Research Center on Enterprise Networks, Logistics and Transport (CIRRELT). Professor Gendreau's research interests span operational research, with particular emphasis on stochastic optimization methods applied to transportation and logistics problems, energy systems management, and telecommunications. His work often addresses real-world challenges through mathematical modeling and algorithm development, with applications ranging from bike-sharing systems to emergency response planning and electricity grid management. The analysis of his recent publications reveals a strong focus on vehicle routing problems under uncertainty, maintenance optimization, and the integration of stochastic programming with machine learning techniques for improved decision making. Professor Gendreau has received numerous prestigious awards recognizing his contributions to the field of operations research. In 2022, he was named a Fellow of the International Federation of Operational Research Societies (IFORS). In 2010, he was awarded Fellow status by INFORMS (Institute for Operations Research and the Management Sciences). Most notably, in November 2015, he received the Robert M. Herman Lifetime Achievement Award from the Transportation Science and Logistics Society of INFORMS, which is considered the most prestigious distinction for operational researchers working in logistics and transportation. Throughout his career, Professor Gendreau has supervised 25 doctoral students and 18 master's students, contributing significantly to the development of the next generation of operations research experts. His research has been supported by numerous grants from organizations including NSERC (Natural Sciences and Engineering Research Council of Canada), with expertise recognized in Operational Research and Management Science (NSERC subject 1601) and Logistics (NSERC subject 1603). Professor Gendreau is actively involved in several research teams and laboratories, particularly those focused on data valorization, energy systems, and transportation logistics. His current work continues to push the boundaries of stochastic optimization and its applications to complex real-world problems, with recent publications addressing challenges in urban transportation, energy management, and emergency response systems.

• Model Predictive Control
• Power Electronics
• Renewable Energy Integration
• +۵ مورد دیگر

Ricardo Aguilera Echeverria is an Associate Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering . With a Ph.D. in Electrical Engineering from the University of Newcastle (2012), he has held academic positions at UNSW Australia (2014-2016) and UTS since 2016. His research focuses on model predictive control (MPC) applied to power electronics , renewable energy integration , and microgrid control systems . He actively supervises Masters and PhD students and has developed courses such as Control Studio A and Control Studio B . Education: PhD in Electrical Engineering (University of Newcastle, 2012) MSc in Electronics Engineering (Universidad Tecnica Federico Santa Maria, 2007) BSc in Electrical Engineering (Universidad de Antofagasta, 2003) Research Interests: Model Predictive Control (MPC) for power converters Microgrid stability and cybersecurity Second-life battery integration Hybrid DC-AC microgrid solutions Recent Research Trends: Advancements in modular multilevel matrix converters (M3C) for LFAC systems Development of per-phase instantaneous power theories for LVRT compensation Sliding mode observers (SMO) for cyberattack mitigation in AC microgrids Optimal control strategies for delta-connected CHB converters in energy storage Grants & Projects: Lead investigator in HORIZON Europe (2024-2027) on digital solutions for renewable energy systems ARC Discovery Project (DP240102646) on extending second-life battery life (2024-2026) Collaborative grants with Sovereign Propulsion Systems Pty Ltd and NSW Department of Industry for hybrid-electric vehicle control