جست‌وجوی استاد و پژوهشگر

Nitin Tiwariمشاهده پروفایل

استادیار

• Geotechnical Engineering
• Sustainable Infrastructure Development
• Resilient Infrastructure
• +۹ مورد دیگر

Dr. Nitin Tiwari is an Assistant Professor of Geotechnical Engineering at the School of Civil, Environmental, and Infrastructural Engineering , Southern Illinois University Carbondale (SIU), USA, since August 2024. He leads the Geo-CARE (Geotechnical Engineering for Climate Adaptation and Resilient Environments) Lab , focusing on sustainable and resilient infrastructure development. Previously, he served as a Postdoctoral Researcher at Purdue University (2022-2024) and held academic positions at IIT Bombay and IIT Indore in India. Education: Ph.D. in Geotechnical Engineering, Indian Institute of Technology Indore (2021) M.Engg. in Structural Engineering, Rajiv Gandhi Technical University, Bhopal (2017) B.Engg. in Civil Engineering, Rajiv Gandhi Technical University, Bhopal (2014) Research Interests: Dr. Tiwari's research focuses on interdisciplinary approaches to sustainable infrastructure, leveraging natural substances and engineered composites to enhance soil conditions. He pioneers AI-driven, IoT-enabled frameworks for real-time geotechnical infrastructure monitoring, predictive performance assessment, and risk mitigation. His work spans bio-inspired soil stabilization using microbial-induced calcite precipitation (MICP), recycled and waste materials in construction, and machine learning applications in geotechnics. Scientific Awards & Recognition: Young Scientist Award in Civil Engineering, Madhya Pradesh Council of Science and Technology (2021) Best Research Award, IIT Indore (2021) Postdoctoral Mentor Award Nominee, Purdue University (2024) Standing Committee Member, Transportation Research Board (AKG80, 2021-present) Four granted patents in India and Australia for innovative geotechnical methods and apparatuses Labs & Teams: Dr. Tiwari directs the Geo-CARE Lab at SIU, fostering research on climate-resilient geotechnics . The lab welcomes students, scholars, and postdocs to collaborate on sustainable geotechnical solutions. He has delivered 15+ keynote lectures globally and serves as a peer reviewer for 20+ journals. Publications & Impact: With 18 journal papers, 2 book chapters, and 6 conference papers, his work integrates experimental methods with machine learning . Key themes include expansive soil treatment, asphalt mixture optimization, seismic response of underground structures, and bio-cementation .

Tiark Rompfمشاهده پروفایل

استادیار

• Compiler Design
• Programming Languages
• Runtime Code Generation
• +۸ مورد دیگر

Tiark Rompf is an Assistant Professor at Purdue University , with research spanning programming languages, compilers, and systems. His work bridges domains including architecture, databases, machine learning, and AI through projects like Reachability Types and Rhyme. Co-director of the Purdue Center for Programming Principles and Software Systems (PurPL) Scientific Advisor at SambaNova Systems Previously a member of the Scala team at EPFL His research focuses on: Runtime code generation and advanced compiler technology Expressive data-centric query languages (Rhyme, Datalog) Reachability type systems for memory safety and effect handling Metaprogramming and logical relations for formal verification Recent publications highlight contributions to Datalog compilation (Flan), nested data structures (Rhyme), and polymorphic reachability types. He leads projects exploring: Compiler optimizations for emerging architectures (GPU, TPU, FPGA) ML-driven compiler improvements Secure multi-party computation via metaprogramming Scientific awards include: NSF CAREER Award (2016) Google Faculty Research Awards (2017, 2018) DOE Early Career Research Award (2017) ACM SIGPLAN PL Software Award (2019) GPCE Test of Time Award (2020) Students and alumni from his group have joined institutions like Databricks, DeepMind, Galois, and Meta. He teaches advanced compiler courses including: CS 590 - Advanced Topics in Compilers CS 352 - Compilers CS 502 - Graduate Compilers

Xin Huangمشاهده پروفایل

دانشیار

• Graph Data Management
• Big Graph Mining & Visualization
• Social Network Analysis
• +۴ مورد دیگر

Xin Huang is an Associate Professor in the Department of Computer Science at Hong Kong Baptist University (HKBU), Faculty of Science. He serves as Coordinator of Research Postgraduate Programme (PhD&MPhil) and Coordinator of Programming Contest Teams. His educational background includes: Ph.D. in Systems Engineering and Engineering Management from The Chinese University of Hong Kong (2014) B.Eng. in Computer Science from Xiamen University (2010) Huang's research focuses on innovative technologies for large-scale graph data management and analysis. His work spans graph data management including keyword search and graph indexing, graph mining techniques for summarization and decomposition, community search algorithms, and graph learning approaches including graph neural networks. His research integrates theoretical foundations with practical applications in social network analysis and privacy-aware computing. His publication record shows consistent output in top-tier venues with a clear evolution from foundational graph algorithms to more complex applications involving dynamic and uncertain graphs, reflecting the growing importance of graph analytics in real-world systems. Notable awards include: Best Student Paper Award at ACM/IEEE IWLS 2023 Best Faculty Article Award from Chinese Communication Association (2022) HKBU President's Award for Outstanding Performance as Young Researcher (2021) RGC Early Career Award (2020) Best Paper Award at WISE 2019 Huang actively mentors PhD students and postdoctoral fellows, currently supervising five PhD candidates and four postdocs. His research has been supported by competitive grants including the RGC Early Career Award. He serves as Associate Editor for Data Science and Engineering and World Wide Web Journal, and participates extensively in program committees for major conferences including VLDB, ICDE, and WWW. As part of HKBU's Database Research Group, Huang contributes to a vibrant research environment that has secured over $10 million in research funding and published more than 200 papers in top venues.

Erik Lichtenbergمشاهده پروفایل

استاد

• Agricultural and Environmental Economics
• Payment for Ecosystem Services
• Pesticide Regulation
• +۶ مورد دیگر

Erik Lichtenberg is a Professor in the Department of Agricultural and Resource Economics at the University of Maryland, College Park, affiliated with the College of Agriculture and Natural Resources. His research addresses economic aspects of agriculture-environment interactions, including agri-environmental programs, invasive species management, pesticide regulation, and resource conservation. He holds a B.A. in Linguistics from the University of Chicago (1973) and a Ph.D. in Agricultural and Resource Economics from UC Berkeley (1985). Research Focus Lichtenberg's work integrates environmental and agricultural economics with policy analysis. Key domains include: Design of Payment for Ecosystem Services (PES) programs and conservation contracts Economic incentives for pollution control and resource conservation Risk management in agricultural systems (pests, pesticides, climate) Food safety regulation compliance and collective action Impacts of irrigation technology and land use policies Professional Recognition Fellow, Agricultural and Applied Economics Association (AAEA) Awards from AAEA, University of Helsinki, University of Maryland, and academic journals Former co-editor, American Journal of Agricultural Economics National Academy of Sciences panelist: GMO crops, precision agriculture, pesticide policy Active Research Projects PES Program Design : Optimization of penalties/targeting in conservation contracts; stated preference analysis for buffer adoption Invasive Species Economics : Risk-based inspection protocols for international trade; pest introduction cost-benefit analysis Pollination Systems : Economic-ecological modeling of wild/managed pollinators; landscape effects on crop yields

Thilo Streckمشاهده پروفایل

استاد

• Soil Physics
• Environmental Modeling
• Land-Atmosphere Exchange
• +۶ مورد دیگر

Prof. Dr. Thilo Streck is a Professor of Biogeophysics at the Institute of Soil Science and Land Evaluation, University of Hohenheim, Germany . He has served as Head of the Department of Biogeophysics since 2001 and was Head of the Institute of Soil Science and Land Evaluation (2002-2006) . Since 2023, he is the Research Director of the Computational Science Hub (CSH), University of Hohenheim . His research focuses on: Soil and environmental physics Measurement and modeling of terrestrial ecosystem processes Land surface processes (soil-plant-atmosphere exchange) Environmental fate of chemicals Regionalization and risk assessment Recent publications highlight his work in 2025 on trait-based microbial modeling , land-atmosphere feedback observatories , and climate change impacts on agricultural systems , with 2024 work on crop yield prediction , water demand modeling , and organic matter stabilization . Scientific honors include: Gips-Schüle Award 'Freedom for Research' (2016) Fritz Scheffer Award of the German Soil Science Society (1994) He has led major DFG research initiatives: Research Unit 1695 (2012-2019) : Agricultural Landscapes under Global Climate Change PAK 346 (2008-2011) : Structure and Functions of Agricultural Landscapes

• Econometrics
• Macroeconomics
• Time Series Analysis
• +۳ مورد دیگر

Cem Çakmaklı serves as Associate Professor of Economics at Durham University Business School and Koç University's College of Administrative Sciences and Economics (currently on leave). Previously, he held Assistant Professor positions at Koç University (2015-2023) and the University of Amsterdam (2011-2013), following an AXA Postdoctoral Fellowship at Koç University (2013-2015). His academic credentials include: Ph.D. in Economics/Econometrics, Tinbergen Institute, Erasmus University Rotterdam (2012) M.Phil in Economics (Cum Laude), Tinbergen Institute (2007) MA in Economics (with distinction), Istanbul Technical University (2005) B.Sc. in Management Engineering, Istanbul Technical University (2002) His research integrates advanced econometric methodologies with macroeconomic policy analysis, specializing in time series modeling for economic forecasting, pandemic impact assessment, and financial market dynamics. Recent work demonstrates innovative applications of Bayesian semiparametric techniques to yield curve modeling, GDP nowcasting, and vaccination economics, with particular emphasis on emerging market contexts. His methodological contributions bridge theoretical econometrics with real-world policy challenges. Publication trends reveal a strategic pivot toward pandemic economics since 2020, producing high-impact studies on global vaccination strategies and lockdown effectiveness, while maintaining core expertise in time-varying parameter models and financial econometrics. His work consistently addresses policy-relevant questions through rigorous quantitative frameworks. Scientific recognition includes: AXA Research Fund Post-Doctoral Fellowship (2013-2015) Fellowships at Economic Research Forum (ERF), Centre for Macroeconomic Policy, and Rimini Center for Economic Analysis (RCEA) Research funding comprises multiple TUBITAK grants totaling over 400,000 TL for projects on central bank credibility (2019-2020), large time-varying parameter VARs (2019-2020), and emerging market business cycle indicators (2017-2019). As an educator, he has developed and taught advanced econometrics curricula at PhD and graduate levels across multiple institutions, while his Capital magazine columns translate complex economic concepts for public discourse. His professional ecosystem integrates academic research through Ethos Economics Consulting with policy engagement via media commentary.

• sociology of education
• educational inequalities
• social stratification
• +۲ مورد دیگر

Géraldine Farges serves as Professor of Education and Training Sciences at University of Bordeaux Montaigne, where she directs the Department of Education and Training Sciences and maintains an office at Desk 118 in the AAFE Pole. Her administrative leadership extends to membership on the INSPE Scientific Council and INSPE COSP, alongside co-directing the Education and Society book collection at ISTE/wiley with Xavier Pons. Her research centers on critical educational sociology themes including educational inequalities , social stratification , and professional teaching group dynamics , examining structural barriers within educational systems. This work intersects with broader analyses of sociology of professions and institutional power hierarchies. With 103 publications indexed in HAL-SHS, her scholarly output demonstrates sustained contribution to educational theory. She remains actively engaged in academic service through editorial leadership and institutional governance, maintaining direct contact via geraldine.farges@ube.fr.

John Haslegraveمشاهده پروفایل

مدرس

• Random Graphs
• Preferential Attachment
• Interacting Random Walks
• +۴ مورد دیگر

Dr. John Haslegrave is a Lecturer in Probability at Lancaster University's School of Mathematical Sciences, where he is an active member of both the Probability and Combinatorics research groups. Previously, he held positions at the University of Oxford (working with Peter Keevash), University of Warwick (with Agelos Georgakopoulos), and University of Sheffield (with Hong Liu and Chris Cannings). He completed his PhD at Trinity College, Cambridge under Béla Bollobás. His research focuses on: Random graphs and evolving network models (especially preferential attachment) Interacting particle systems and random walks on graphs Extremal problems in graph/hypergraph theory Percolation theory and geometric probability Combinatorial optimization and graph invariants Analysis of recent publications reveals strong emphasis on probabilistic combinatorics, with frequent exploration of: structural graph properties, asymptotic behavior of stochastic processes, geometric embeddings, and optimization problems. His work consistently bridges discrete mathematics with statistical physics concepts. Dr. Haslegrave welcomes PhD students interested in discrete probability and graph theory, with current supervision interests including preferential attachment models, interacting particle systems, planar percolation, and extremal problems. He teaches undergraduate courses in Graph Theory (MATH326) and Probability (MATH103), and organizes Lancaster's Pure Mathematics Seminar series.

Pinelopi Koujianou Goldbergمشاهده پروفایل

استاد

• International Trade
• Development Economics
• Gender Economics
• +۴ مورد دیگر

Pinelopi Koujianou Goldberg serves as the William Nordhaus Professor of Economics at Yale University and is an Affiliate of the Economic Growth Center. She previously held the position of Chief Economist of the World Bank Group (2018-2020) and has held leadership roles including President of the Econometric Society and Editor-in-Chief of the American Economic Review. Her research focuses on trade policy, development economics, and gender inequality. Goldberg employs diverse methodological approaches from structural modeling to reduced-form techniques to analyze trade protectionism, intellectual property rights in developing countries, exchange rate pass-through, and discrimination against women. Her recent work examines semiconductor industrial policy, informality in trade contexts, and the Global Gender Distortions Index. The most recent publications reveal a strong emphasis on contemporary trade tensions, gendered institutional barriers, and human capital measurement. Her work increasingly integrates policy-relevant frameworks for measuring gender distortions and analyzing strategic industrial policy in critical sectors. Scientific awards include: Guggenheim Memorial Foundation Fellowship Sloan Research Fellowship Bodossaki Prize in Social Sciences Distinguished CES Fellow (2024) CEPR Distinguished Fellow Goldberg maintains extensive advisory and research affiliations including the National Academy of Sciences, American Academy of Arts and Sciences, NBER, IFS London, and BREAD board membership. Her policy engagement spans World Bank leadership and ongoing contributions to global economic governance through research networks.

• semantics
• pragmatics
• language acquisition
• +۳ مورد دیگر

Ayaka Sugawara serves as Associate Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, with concurrent affiliation at the Global Education Center and Waseda Research Institute for Science and Engineering (2024-2026). Her academic journey includes positions at Mie University (2015-2019) and multiple research appointments. BA (2008) and MA (2010) from The University of Tokyo PhD in Linguistics (2016) from Massachusetts Institute of Technology Dr. Sugawara's research spans formal semantics, pragmatics, and language acquisition with specific focus on quantifier scope interpretation , focus particles , Japanese dialectology , and second language processing . Her experimental work combines cross-linguistic comparison (Japanese/English/German/Persian), neuroimaging techniques (MEG/EEG), and computational approaches to vocabulary assessment. Current investigations examine early English education's impact on first language acquisition and non-literal language processing. Her publication trends reveal consistent interdisciplinary work bridging theoretical linguistics with educational applications, particularly in automated language assessment tools and experimental validation of semantic theories across developmental stages. Recent work demonstrates increasing collaboration with computational linguists and educational technologists. Dr. Sugawara actively contributes to the academic community through: Standing Committee membership in The Linguistics Society of Japan (2021-present) Professional affiliations with Linguistic Society of America and The Japanese Society for Language Studies Her research projects include multiple Japan Society for the Promotion of Science grants examining: Early English education effects on L1 acquisition (2021-2024) Question-under-Discussion mechanisms in ambiguous sentences (2019-2021) Cross-linguistic 'only' comprehension studies (2016-2018) Current internal projects investigate non-literal language processing and pragmatics in L1/L2 acquisition contexts.

Obdulia María Torres Gonzálezمشاهده پروفایل

استاد

• Gender Studies
• Philosophy of Science
• Science and Technology Studies
• +۳ مورد دیگر

Obdulia María Torres González is a Full Professor in the Department of Philosophy, Logic and Aesthetics at the Faculty of Philosophy, University of Salamanca. She serves in the University Institute for Science and Technology Studies and leads the Research Group on Studies on Science and Technology. Her academic career spans over two decades with significant contributions to gender studies in philosophy and science communication. Her research focuses on gender inequality in academic professions , particularly in philosophy, where she has documented a severe gender imbalance (25% female faculty, 12% female full professors). She examines horizontal and vertical segregation patterns, challenges the STEM-focused narrative of gender studies, and analyzes how gender biases manifest in student evaluations of professors. Her work extends to science and technology studies , where she applies Ronald Giere's constructive realism to social sciences and engineering epistemology, and to risk communication regarding vaccine resistance and public controversies. Her publication trends reveal three interconnected research strands: (1) rigorous statistical analyses of gender disparities across academic disciplines, (2) philosophical examinations of scientific methodology in economics and medicine, and (3) investigations into public understanding of science and technology. She has secured research funding including the FFI2015-64529-P project "The boundary between science and politics and science at the boundary: Spanish science, 1907-1975" (MINECO/FEDER). Her educational background includes a PhD from the University of La Laguna (2002) with the thesis "The problem of social choice rules in the theory of collective action: redistribution, justice and well-being," supervised by Dr. Amparo Gómez Rodríguez. She has developed innovative teaching initiatives including the international promotion of the Master's in Logic and Philosophy of Science and high school recruitment programs for philosophy studies.

Matthias Mannمشاهده پروفایل

استاد

• Proteomics
• Mass spectrometry
• Clinical proteomics
• +۶ مورد دیگر

Professor Matthias Mann is Research Director and Group leader at the Proteomics Program at Novo Nordisk Foundation Center for Protein Research (CPR) at the University of Copenhagen's Faculty of Health and Medical Sciences. He also holds a Director position at the Max-Planck Institute of Biochemistry in Munich. As one of the most highly cited researchers in the world with h-index 216 and over 200,000 citations, Mann is a pioneer of mass spectrometry-based proteomics who has made landmark contributions to the development of electrospray ionization. Professor Mann's research interests focus on proteomics technology development and its application to biological and clinical problems. His Clinical Proteomics group applies mass spectrometry-based proteomics to understand human health and disease, with the goal of improving patient diagnosis, stratification, and prevention of diseases such as metabolic disorders and cancer. The group has established robust, high-throughput proteome profiling pipelines for clinical cohorts and develops AI-guided platforms for analyzing proteomes from low amounts of formalin-fixed, paraffin-embedded samples. A key research area is the interpretation of multi-omics data through the Clinical Knowledge Graph, which harmonizes multi-omics data with meta-data for machine learning applications. Professor Mann's recent publications demonstrate trends across several fields including clinical proteomics, biomarker discovery, mass spectrometry technology development, and multi-omics integration. His work spans applications in cancer research, metabolic diseases, neuroscience, and cardiac biology, with a consistent focus on translating proteomic technologies into clinical applications for personalized medicine. Dr H.P. Heineken Prize for Biochemistry and Biophysics 2024 Louis-Jeantet Foundation Prize for Medicine (2012) Leibniz Prize of the German Research Society (2012) Körber European Science Award (2012) Ernst Schering Prize (2012) Protein Society Anfinsen Award (2005) Novo Nordisk Prize (2004) Professor Mann has mentored numerous researchers, with several former post-docs receiving prestigious ERC Starting Grants. His research has been supported by significant funding from the Novo Nordisk Foundation and other major research organizations. The Mann Group maintains collaborations with clinical researchers across multiple institutions to apply proteomics to patient cohorts and disease studies. The Mann Group operates within the Novo Nordisk Foundation Center for Protein Research at the University of Copenhagen, working closely with other research groups including the Choudhary Group, Olsen Group, and others within the CPR. The group maintains state-of-the-art mass spectrometry facilities and develops computational tools for proteomic data analysis, creating an integrated environment for technological innovation and biological discovery.

Necdet Torunbalcıمشاهده پروفایل

استاد

• Structural Engineering
• Earthquake Engineering
• Masonry Structures
• +۵ مورد دیگر

Prof. Necdet Torunbalcı is a Professor at the Department of Architecture, Istanbul Technical University. He has held roles such as Department Chair (2013–2017) and has been a faculty member since 1987. His expertise lies in structural engineering with a focus on earthquake-resistant design, masonry structures, historical building conservation, and steel/concrete systems. Education: PhD in Structural Engineering (1989–1994) from Istanbul Technical University MSc in Structural Engineering (1985–1987) from Istanbul Technical University BSc in Civil Engineering (1980–1984) from Yıldız Technical University Research Interests: His work emphasizes seismic retrofitting of historical structures, base isolation systems, masonry wall strengthening, and sustainable architectural design. He has led projects on adaptive reuse of industrial heritage and innovative reinforcement techniques like CFRP and Khorasan mortar. Recent Article Trends: Focus on experimental studies of masonry strengthening, seismic control methods, and the interplay between architectural form and structural systems in complex buildings like inclined/twisted structures. His work bridges historical preservation with modern seismic safety standards. Awards: No explicit awards listed, but his h-index of 27 reflects significant scholarly impact. Advising & Grants: Supervised 13 theses, including recent works on hybrid seismic systems and historical structure evaluation. Active in SRP-funded projects on masonry reinforcement and base isolation applications. Labs/Teams: Leads research teams focused on structural testing, historical building analysis, and sustainable retrofitting methodologies. Collaborates on adaptive reuse projects of industrial heritage sites like Patara Antic City and Feshane-i Amire.

Romano Claudiaمشاهده پروفایل

استاد

• Electrical conductivity of minerals and silicate melts
• Experimental volcanology
• Volatile solubility, speciation and degassing processes in melts
• +۷ مورد دیگر

Prof. Claudia Romano is a Full Professor at Università Roma TRE , with a career spanning over 25 years. She has held roles including Post-doctoral Fellow at Bayerisches Geoinstitut (Bayreuth), Researcher (1996-2014), Associate Professor (2014-2019), and Full Professor (2019-present) in the Department of Sciences. Her institutional responsibilities include coordinating geological degree programs, leading the Experimental Volcanology and Petrology Lab (EVPlab) , and serving in editorial roles for Chemical Geology and Minerals . PhD , Earth Science, University of Rome La Sapienza (1994) MSc , Earth Science, University of Rome La Sapienza (1990) Prof. Romano’s research focuses on volcanic processes, magma properties, and thermal maturity analysis. Her work encompasses electrical conductivity of minerals , experimental volcanology , volatile degassing mechanisms , and Raman spectroscopy applications . She has supervised 12 PhD students and teaches 150-200 hours annually across 50+ courses. Her publications (103 peer-reviewed) and editorial leadership highlight her expertise. Awards include the 1995 S.I.M.P. Best PhD Thesis . With 4049 Google Scholar citations (h-index 38), her work bridges volcanology, petrology, and geochemical analysis. Recent articles explore magma rheology, diamond formation depths, and volcanic glass analysis. Trends show emphasis on high-pressure experiments , eruptive dynamics , and advanced spectroscopic techniques . Best PhD Thesis in Earth Science - Societa italiana di Mineralogia e Petrologia (1995) As an educator, she has supervised 12 PhD students and taught over 50 courses. She leads EVPlab and has served editorial boards for Chemical Geology and Geochimica and Cosmochimica Acta . Her 200+ scientific meeting participations underscore her collaborative approach.

Edward Furmanمشاهده پروفایل

استاد

• Actuarial Science
• Risk Management
• Insurance
• +۶ مورد دیگر

Dr. Edward Furman is a Professor in the Department of Mathematics and Statistics at York University, leading the Actuarial Science Program and serving as Founding Director of the Risk and Insurance Studies Centre (RISC). He holds a Master's (Distinction) and PhD (Summa Cum Laude) in Actuarial Science and Probability Theory from the University of Haifa, Israel. His research focuses on distribution theory, risk measurement, insurance pricing, and systemic risk modeling. Notable achievements include winning the Fortis Chair Best Paper Prize (K. U. Leuven) for collaborative work and serving as an external consultant for institutions like the Central Bureau of Statistics (Israel) and the Society of Actuaries (U.S.). Dr. Furman's work bridges theoretical and applied domains, with funded research by NSERC, the Society of Actuaries, and the Casualty Actuarial Society. He is a Fellow of the Science Leadership Program at the University of Toronto and an Associate Editor of the Journal of Statistical Distributions and Applications (Springer). His interdisciplinary RISC unit explores holistic approaches to insurance risk, integrating actuarial science with statistical and economic frameworks. Research Themes: Dependence modeling, risk capital allocation, systemic risk measurement, and inclusive insurance design. Consulting Expertise: Collaboration with public and private sector entities on actuarial and statistical challenges. Grants: Supported by NSERC, SOA, and CAS for projects on risk aggregation and insurance pricing models.