جست‌وجوی استاد و پژوهشگر

Tiancheng Zhaoمشاهده پروفایل

پژوهشگر

• Multimodal Foundation Models
• AI Agents
• Vision-Language Models
• +۳ مورد دیگر

Tiancheng Zhao is a principal researcher at the Binjiang Institute of Zhejiang University and founder of the Om Artificial Intelligence Laboratory (Om AI Lab), dedicated to frontier open multimodal AGI research for building next-generation agents that transform work and life through advanced human-machine interaction. His academic credentials include: Ph.D. in Computer Science from Carnegie Mellon University (2016-2019) under Prof. Maxine Eskenazi, Prof. Louis-Philippe Morency, Prof. William W. Cohen, and Dr. Dilek Hakkani-Tur, with pioneering dissertation “Learning to Converse With Latent Actions” in end-to-end generative conversational models M.S. in Computer Science from Carnegie Mellon University (2014-2016) B.S. in Electrical Engineering from UCLA (2010-2014) with Summa Cum Laude, focusing on speech signal processing under Prof. Abeer Alwan Dr. Zhao’s research centers on multimodal foundation models and agents, tackling three core challenges: Multimodal Models for cross-modal representation learning in high-dimensional data, Learning to Learn for effective skill acquisition from diverse signals (supervised labels, rewards, meta-learning), and AI Agents for open-world understanding and complex decision-making. His work bridges computer vision, natural language processing, and real-world applications including healthcare analytics and remote sensing. Analysis of his 50+ publications reveals accelerating innovation in multimodal large language models (2024-2025), with emphasis on stable vision-language architectures (VLM-R1), agent orchestration frameworks, and domain-specific applications in geospatial analysis and healthcare. Key trends include solving long-tail distribution challenges in satellite imagery, developing human-like zooming capabilities for multimodal LLMs, and creating unified benchmarks for autonomous GUI testing. His scientific recognition includes: National Breakthrough Technology Award by Ministry of Science and Technology (2021) Microsoft Research Best & Brightest PhD (2018) BEST PAPER AWARD at SIGDIAL 2018 Best Paper Nomination at SIGDIAL 2016 Top 1 Outstanding Bachelor of Science Award at UCLA (2014) As Om AI Lab founder, Dr. Zhao leads research teams developing computational building blocks for human-AI collaboration. While specific student mentorship details aren’t public, his extensive publication record with junior co-authors indicates active research supervision. Current projects focus on practical system implementations for real-world multimodal agent deployment across diverse domains.

Marco Castronovoمشاهده پروفایل

استادیار

• Symplectic Topology
• Mirror Symmetry
• Cluster Algebras
• +۳ مورد دیگر

Marco Castronovo serves as an Assistant Professor in the Mathematics Department at Columbia University, with his office located in Mathematics Hall 614. His academic work bridges continuous and discrete mathematical structures through the lens of symplectic geometry and topology. His research focuses on Symplectic Topology , particularly exploring symplectic structures as frameworks for quantization of classical invariants. Key interests include: Developing open-string versions of Schubert calculus Investigating cluster structures in positroid varieties Constructing Landau-Ginzburg models for Grassmannians Studying Lagrangian cobordisms and exotic tori Analyzing connections between Dubrovin spectra and Fukaya algebras His recent publications reveal a consistent trajectory toward unifying symplectic geometry with combinatorial algebraic structures, particularly through Grassmannian varieties and their mirror symmetric counterparts. The work demonstrates increasing sophistication in connecting Fukaya categories with cluster algebraic frameworks, while maintaining strong ties to quantum topological invariants. As an academic mentor, Castronovo supervises undergraduate researchers including B. Basson (Barnard Summer Research Institute) and S. Kesavan (Columbia Summer Research Fellowship). He actively contributes to the mathematical community through refereeing and co-organizing the Columbia SGGTC Seminar, demonstrating commitment to both research dissemination and academic service. His computational work manifests through three significant open-source projects: Posetroids for exploring Zariski closure orders in Grassmannians, DubrovinDynamics for visualizing spectral evolution in truncated Dubrovin operators, and ClusterExplorer for conducting random walks on cluster structures of Grassmannians. These tools have become valuable resources for researchers working at the intersection of symplectic geometry and combinatorics.

• Theoretical Computer Science
• Graph Algorithms
• Dynamic Algorithms
• +۷ مورد دیگر

Nicole Wein is an Assistant Professor in the Computer Science and Engineering Division of the Department of Electrical Engineering and Computer Science (EECS) at the University of Michigan, College of Engineering. Her research lies in theoretical computer science, focusing on graph algorithms, dynamic algorithms, parameterized algorithms, distributed algorithms, online algorithms, and fine-grained complexity. She is part of the Theory of Computation Lab and advises both PhD and undergraduate researchers. PhD, Massachusetts Institute of Technology (MIT), advised by Virginia Vassilevska Williams Postdoctoral Fellow, DIMACS Research Fellow, Simons Institute, UC Berkeley MS, Stanford University BS, Computer Science/Math, Harvey Mudd College Her research explores fundamental algorithmic questions in combinatorial settings, particularly how algorithms handle dynamic data, extract information efficiently (e.g., in linear time), and understand shortest path structures in graphs—especially directed ones. She investigates problems in distance estimation, spanners, hopsets, dynamic graph algorithms, and hardness of approximation. Her work combines theoretical depth with practical implications for algorithm design. The recent publications reflect a strong trend in fine-grained complexity and graph algorithm design, with a focus on proving tight bounds, developing efficient approximations, and understanding structural limitations in directed and dynamic graphs. Her work frequently appears in top venues such as STOC, FOCS, SODA, and ICALP, often in collaboration with leading researchers in the field. Scientific Awards and Recognition: Invited to special issue of SIAM Journal on Computing (SICOMP) (FOCS 2022 paper) Invited to Highlights of Algorithms (HALG) (FOCS 2022 paper) Invited to minisymposium at CANADAM (ESA 2022 paper) Work featured in Quanta Magazine Nicole Wein actively mentors students, including current PhD student Jubayer Nirjhor and former undergraduate researchers like Sam Hiken (now pre-doc at MIT). She has served on program committees for major conferences including SODA, FOCS, ICALP, and ITCS, and co-organized the DIMACS workshop on Modern Techniques in Graph Algorithms (2023). She also contributes to the academic community through outreach, such as her article offering reassurance to early-stage PhD students in theoretical computer science. She leads and participates in collaborative research groups and workshops, emphasizing supercollaboration and interdisciplinary communication in algorithms. Her lab fosters a strong research environment in theoretical computer science at the University of Michigan.

Jeremy Dahlمشاهده پروفایل

استاد

• Medical Ultrasound Imaging
• Ultrasonic Beamforming
• Image Reconstruction
• +۷ مورد دیگر

Jeremy Dahl is a Professor of Radiology (Pediatric Radiology) at Stanford University School of Medicine. He directs the Ultrasound Imaging & Instrumentation Lab and serves as Director of Research Academic Affairs in the Department of Radiology since 2020. He holds multiple affiliations across Stanford including Bio-X, the Cardiovascular Institute, Wu Tsai Human Performance Alliance, Maternal & Child Health Research Institute, Stanford Cancer Institute, and Wu Tsai Neurosciences Institute. Dr. Dahl received his B.S. in Electrical Engineering from the University of Cincinnati (1999) and Ph.D. in Biomedical Engineering from Duke University (2004). His research focuses on developing ultrasonic beamforming and image reconstruction methods for diagnostic imaging applications, particularly techniques that generate high-quality images in difficult-to-image patients. His laboratory specializes in B-mode and Doppler imaging techniques that utilize additional information from ultrasonic wavefields to improve image quality and develop real-time imaging systems for clinical applications including cardiac, liver, and fetal imaging. Dr. Dahl's research has led to significant advancements in ultrasound molecular imaging platforms, sound speed estimation, aberration correction, and reverberation noise suppression. His work often bridges engineering innovation with clinical applications for cancer detection and other diseases. His recent publications demonstrate strong focus on machine learning applications in ultrasound, distributed aberration correction, and molecular imaging techniques. Fellow, American Institute of Ultrasound in Medicine (2021) Senior Member, Institute of Electrical and Electronics Engineers (2020) Distinguished Investigator Award, The Academy for Radiology & Biomedical Imaging Research (2018) Outstanding Paper Award, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (2011) Dr. Dahl serves in editorial roles for major journals including IEEE Transactions on Medical Imaging (2017-2024) and IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (2013-Present). His laboratory has successfully translated numerous innovations into clinical applications, with multiple patents including recent developments in pulsed focused ultrasound therapy and speed of sound quantification.

Alexander Keyمشاهده پروفایل

دانشیار

• Classical Arabic literature
• Arabic philosophy of language
• Persian literature
• +۵ مورد دیگر

Alexander Key is an Associate Professor of Comparative Literature at Stanford University, specializing in Classical Arabic literature and the intellectual history of Arabic and Persian-speaking worlds from the 7th century onwards. His scholarship focuses on the philosophy of language, literary theory, and cross-cultural translation. Ph.D. in Arabic and Islamic Studies from Harvard University (2012) Current research: Arabo-Persian linguistic intersections, poetics in translation, and pre-modern theories of syntax and affect His articles span diverse eras and topics, including: Medieval Arabic language philosophy (5th–11th century) Modern Arabic political poetry analysis (20th–21st century) Comparative methodologies bridging Islamic and Western traditions A key editorial role includes: Board Member of Stanford University Press Advisory roles at Habib University and Stanford’s Markaz Resource Center His work bridges academic publication with public discourse through: Contributions to Arcade Colloquy Interviews on poetics, religion, and contemporary politics Podcasts and literary salon discussions

• Optimization
• Machine Learning
• Statistics
• +۳ مورد دیگر

Damek Davis serves as an Associate Professor of Statistics and Data Science and Co-Academic Director of the Dual Master's Degree in Statistics at the Wharton School, University of Pennsylvania. His academic base is the Department of Statistics and Data Science within the Wharton School, with his office located at the Academic Research Building in Philadelphia, PA. His research expertise centers on optimization theory for data science, with deep specialization in nonsmooth and stochastic optimization problems. Key focus areas include convergence analysis of first-order methods, variance reduction techniques, and theoretical guarantees for algorithms in nonconvex settings. His work bridges mathematical rigor with practical applications in machine learning and statistical inference, particularly in developing efficient computational frameworks for large-scale data analysis. Analysis of his 2022-2024 publications reveals dominant themes in optimization for modern data challenges: nonsmooth stochastic approximation, linear convergence under sharpness conditions, and global optimality in mixture models. His research consistently appears in premier venues across optimization (Mathematical Programming, SIAM Journal), statistics (The Annals of Statistics), and machine learning (IEEE Transactions), demonstrating cross-disciplinary impact in both theoretical foundations and computational methodologies.

• International Political Economy of Africa
• Extractive Industries
• African-Asian Relations
• +۳ مورد دیگر

Ricardo Soares de Oliveira is Full Professor of Political Science at CERI Sciences Po and Senior Research Fellow at the Department of Politics and International Relations, University of Oxford . He also co-directs the Oxford Martin Programme on African Governance and serves as joint editor of Oxford Studies in African Politics and International Relations by Oxford University Press. He is a fellow of the Global Public Policy Institute in Berlin. Education: While specific degrees are not listed, his academic trajectory includes affiliations with the University of Cambridge, Yale University, and the Woodrow Wilson Center, indicating a robust scholarly background. Research Interests: His work centers on the international political economy of African states , with a strong focus on extractive industries , offshore finance , kleptocracy , African-Asian relations , and post-conflict reconstruction . His fieldwork spans multiple African countries and examines how global financial systems and governance structures interact with African political systems. Publications: His scholarly output includes major monographs such as Magnificent and Beggar Land: Angola Since the Civil War (2015) and Oil and Politics in the Gulf of Guinea (2007), as well as edited volumes like China Returns to Africa (2008). His current book project, Africa Offshore , explores the global offshore economy's impact on African politics. Awards and Fellowships: British Academy Senior Research Fellowship (2023) Leverhulme Trust Fellowship (2011) Grants and Collaborations: He has received funding from leading institutions including the ESRC , Rockefeller Foundation , Volkswagen Foundation , and DFID/FCDO . He has consulted for organizations such as the World Bank , European Commission , UNCTAD , and Oxfam . Labs and Teams: He co-directs the Oxford Martin Programme on African Governance at the University of Oxford, a major interdisciplinary initiative examining governance challenges across the African continent.

Karen J. Pragerمشاهده پروفایل

استاد

• Intimacy
• Conflict Management
• Romantic Relationships
• +۵ مورد دیگر

Karen Prager is a Professor of Psychology and Gender Studies at the University of Texas at Dallas within the School of Interdisciplinary Studies, where she has taught for over 30 years. A Board-certified couple and family psychologist, she specializes in romantic relationship dynamics with expertise in intimacy, conflict management, and emotional recovery. Dr. Prager earned her PhD in Counseling Psychology and an M.A. in Measurement and Evaluation from The University of Texas at Austin. Her academic foundation supports her dual focus on clinical practice and scholarly research. Her research investigates how couples reconcile after conflicts and restore intimate bonds, emphasizing emotional recovery processes, differentiation of self, and attachment security. The Couples Daily Lives Lab conducts real-time studies on post-conflict behavior in day-to-day relationships, revealing how reconciliation efforts impact long-term relationship health. Analysis of her publication record shows sustained focus on intimacy restoration mechanisms across 30 years, utilizing daily diary methods and experimental designs to map conflict-recovery pathways. Her work bridges theoretical frameworks with practical therapeutic applications for couples navigating relationship challenges. She holds Board Certification in Couple and Family Psychology from the American Board of Professional Psychology (ABPP), reflecting clinical excellence in the field. Dr. Prager mentors undergraduate students through the Couples Daily Lives Lab, providing hands-on research experience in relationship science. Her studies are supported by research grants though specific funding sources aren't detailed in available materials. The Couples Daily Lives Lab currently executes two major projects: one examining partner behavior during and after conflict to understand emotional recovery patterns, and another developing a classification system for reconciliation efforts to determine their effectiveness in restoring intimacy.

John W. Edmundsمشاهده پروفایل

استاد

• Infectious Disease Modelling
• Epidemiology
• Public Health Policy
• +۶ مورد دیگر

Professor John W. Edmunds is a leading academic in Infectious Disease Modelling at the London School of Hygiene and Tropical Medicine (LSHTM). Holding a Professor position since 2013 and serving as Dean of the Faculty of Epidemiology and Population Health (2013-2019), he combines mathematical, statistical, and economic models to inform public health policy. His part-time role at the Health Protection Agency (HPA) since 2008 underscores his policy advisory contributions. PhD in Infectious Disease Modelling (Imperial College, 1994) MSc in Health Economics (University of York, 1995) BSc in Biology (Imperial College, 1989) His research focuses on understanding disease transmission and optimizing control strategies. He has pioneered methods integrating social contact surveys , participatory surveillance (e.g., Influenzanet), and economic analysis to evaluate vaccines and interventions. Recent work includes SARS-CoV-2 dynamics , Ebola spatial forecasting , and typhoid vaccine prioritization . His 15 most recent publications highlight social contact patterns (Reconnect, CoMix studies), vaccine impact (HPV, typhoid), and real-time outbreak analytics (Ebola, cholera). Key trends include digital epidemiology , behavioral surveillance , and cross-country modeling for global health. Knighthood (2024) for services to epidemiology Weldon Memorial Prize (2022) for biostatistics contributions FMedSci (2018) for medical science excellence OBE (2016) for public service As an educator, he teaches "Modelling and the Dynamics of Infectious Diseases" and co-organizes "Pandemics: Emergence, Spread and Response" . Current grants include National Institute for Health and Care Research projects on post-pandemic surveillance and Bill & Melinda Gates Foundation funding for polio eradication. He leads collaborations with the Centre for Mathematical Modelling of Infectious Diseases , Vaccine Centre , and Health in Humanitarian Crises Centre , while advising UK and WHO committees on zoonotic influenza , variants , and testing programs .

Baker Mohammadمشاهده پروفایل

استاد

• Very-Large-Scale Integration (VLSI)
• Hardware Accelerators for Artificial Intelligence
• Hardware Security
• +۷ مورد دیگر

Prof. Baker Mohammad serves as Professor and Director of the System on Chip Lab in the Department of Computer and Information Engineering at Khalifa University. With over 15 years of industrial experience at Intel and Qualcomm designing microprocessors and DSP chips, he bridges academic research with real-world engineering challenges in high-performance computing and low-power systems. His educational background includes: Ph.D. in Electrical and Computer Engineering, University of Texas at Austin (2008) M.S. in Electrical and Computer Engineering, Arizona State University B.S. in Electrical Engineering, University of New Mexico Dr. Mohammad's research spans cutting-edge domains where VLSI design converges with AI acceleration and emerging memory technologies . His work pioneers Memristor applications in environmental sensing (radiation, vacuum, glucose) and neuromorphic computing, while advancing energy harvesting systems for wearable electronics. The integration of in-memory computing with security primitives represents a paradigm shift in hardware design, moving beyond traditional CMOS limitations. His publication trajectory reveals accelerating focus on self-powered neuromorphic systems and RRAM-based architectures, with recent work (2021-2023) emphasizing hardware-software co-design for edge AI. Over 75% of his recent publications involve cross-disciplinary collaborations spanning materials science, chemistry, and biomedical engineering. Notable scientific recognition includes: IEEE TVLSI Best Paper Award 2016 IEEE MWSCAS Myrill B. Reed Best Paper Award Qualcomm Qstar Award for Performance Leadership KUSTAR IP Excellence Award Multiple SRC Techon Best Session Papers As a dedicated mentor, he has supervised over 15 graduate students while securing competitive funding from Khalifa University, ADEK, Qualcomm, Tii, and UAE space agencies. His grant portfolio demonstrates exceptional translational impact, converting fundamental research in memristive devices into drone flight computers and medical sensors. Current projects integrate academic rigor with industrial deployment timelines. The System on Chip Lab operates as a multidisciplinary hub where semiconductor physicists collaborate with AI researchers to develop RISC-V-based secure processors and piezoelectric nanogenerator systems. Recent expansions include partnerships with Tii for aerospace applications and medical device startups for glucose monitoring technology.

Nam Woon Kimمشاهده پروفایل

استاد

• Marketing Strategy
• Multi-Product Market Analysis
• B2B Marketing & Strategy
• +۳ مورد دیگر

Professor Nam Woon Kim is a faculty member at Khalifa University in the Department of Management Science and Engineering , specializing in Marketing Strategy and B2B Marketing . Previously, he held academic positions at the University of Technology Sydney, Hong Kong Polytechnic University, Hong Kong University of Science and Technology, and National University of Singapore. Education : PhD in Marketing (University of Texas at Austin, 1993), MSc in Management Science (KAIST, 1985), BA in Economics (Yonsei University, 1983) His research focuses on Marketing Strategy , Business-to-Business Marketing , and New Product Development , with publications in top-tier journals such as Journal of Marketing and Management Science . He currently serves as Associate Editor for Journal of Product Innovation Management and as an Editorial Board Member for several other journals.

• Multimodal Discourse Analysis
• Systemic Functional Linguistics
• Digital Humanities
• +۶ مورد دیگر

Professor Kay O'Halloran serves as Chair Professor and Head of Department of Communication and Media within the School of the Arts at the University of Liverpool since August 2019. She concurrently holds the position of Co-Director for the Digital Media and Society Institute (DMSI), demonstrating significant leadership across academic and research domains. Her career spans prestigious institutions including Curtin University (2013-2019) and National University of Singapore (1998-2013), where she directed the Multimodal Analysis Lab and served as Deputy Director of the Interactive & Digital Media Institute. PhD from Murdoch University (1996) Postdoctoral position at Martin Luther University (1997-1998) Visiting Distinguished Professor at Shanghai Jiaotong University (2017-2020) Professor O'Halloran's research focuses on multimodal discourse analysis, particularly the interaction of language with visual and mathematical resources. Her pioneering work in systemic functional multimodal discourse analysis (SF-MDA) has significantly impacted mathematics education and digital communication studies. Current research emphasizes digital tools for multimodal analysis and mixed methods approaches to big data analytics, addressing contemporary challenges in misinformation and public health communication. Her recent publications reveal strong thematic concentration in pandemic-related communication analysis, misinformation resistance mechanisms, and multimodal argumentation across social and cultural contexts. The 15 most recent articles demonstrate consistent application of multimodal frameworks to urgent societal issues including public health crises, political discourse, and digital literacy challenges. Founding editor of Routledge Studies in Multimodality book series (57+ volumes) Over 150 publications in leading international journals 50+ plenary/keynote presentations globally Competitive funding from National Research Foundation, MOE Singapore, US Air Force, ARC, NHMRC, and others Professor O'Halloran has directed interdisciplinary research teams comprising social scientists, computer scientists, and designers. Her leadership extends to developing commercial multimodal analysis software (Multimodal Analysis Image and Video) adopted internationally. Current projects include Eurovision 2023 wellbeing evaluation and COVID-19 misinformation immunity development, demonstrating continued relevance to contemporary societal challenges.

David L Jordanمشاهده پروفایل

استاد

• Peanut-Based Cropping Systems
• Integrated Pest Management
• Weed Science
• +۷ مورد دیگر

David L Jordan is the William Neal Reynolds Distinguished Professor in the Department of Crop and Soil Sciences within the College of Agriculture and Life Sciences at North Carolina State University. His appointment consists of 50% Extension, 25% Research, and 25% Academic responsibilities. He serves as a Crop Science Extension Specialist with a focus on peanut production and weed management, working closely with the North Carolina Peanut Growers Association, private consultants, industry representatives, and farmers. Dr. Jordan received his educational background from North Carolina State University and the University of Arkansas: PhD in Agronomy, University of Arkansas, 1993 MS in Crop Science, North Carolina State University, 1988 BS in Agronomy, North Carolina State University, 1985 AS, Chowan College, 1983 Dr. Jordan's research focuses primarily on peanut-based cropping systems, integrated pest management in peanut production, and the applied biology and management of weeds. His work addresses critical challenges in sustainable agriculture, including herbicide resistance management, crop rotation strategies, and aflatoxin mitigation in peanut production. He has developed significant expertise in developing risk tools to assist peanut growers and their advisors manage pests. His international work extends to Africa, where he collaborates with colleagues to develop more effective and sustainable pest management strategies for peanut (groundnut) and to improve food safety through aflatoxin mitigation. His recent publications reveal a strong focus on optimizing agricultural practices for peanut, cotton, and soybean production. Key themes include crop rotation effects on weed populations, nematode management in peanut systems, herbicide resistance evolution in agricultural weeds, and international peanut production practices. His research integrates field studies with practical extension applications to address real-world agricultural challenges across multiple continents. Dr. Jordan has received numerous prestigious awards throughout his career: Fellow of multiple professional societies including the American Society of Agronomy, Crop Science Society of America, Weed Science Society of America, and Southern Weed Science Society William Neal Reynolds Distinguished Professor (2015) Academy of Outstanding Faculty in Extension and Engagement, North Carolina State University (2022) Outstanding Extension and Engagement Award, North Carolina State University (2022) Dow AgroSciences Award for Excellence in Education from the American Peanut Research and Education Society (2010) Dr. Jordan has mentored numerous graduate students, serving as advisor or co-advisor for 3 MCS, 13 MS, and 12 PhD students, and has served on 40 MS, 45 PhD, and 7 MA graduate committees. His grant funding totals over $11.9 million from Louisiana State University Agricultural Center (1993-1996) and North Carolina State University (1996-present). He has led multiple USAID-funded international projects focused on peanut production and aflatoxin mitigation in countries like Ghana, Haiti, and Malawi. Dr. Jordan leads a comprehensive research and extension program focused on peanut production systems. His work involves close collaboration with multiple departments at NC State including Entomology and Plant Pathology and Biological and Agricultural Engineering. Internationally, he works with colleagues across Africa to develop sustainable pest management strategies. His program emphasizes interdisciplinary collaboration among many individuals, disciplines, and institutions with the common goal of improving the quality of life of people through agricultural improvements, education, and science.

• Dynamics of Innovation
• Regulatory Sciences
• Economics of Science and Innovation
• +۵ مورد دیگر

Dr. Jarno Hoekman is an Associate Professor in Innovation Studies at the Copernicus Institute of Sustainable Development, Utrecht University. His research focuses on the dynamics and governance of science in the context of innovation, regulation, and societal challenges, with particular emphasis on sustainability and health. He is affiliated with both the Copernicus Institute of Sustainable Development and the Utrecht collaborating Centre for Pharmaceutical Policy & Regulation in the Department of Pharmaceutical Sciences. Dr. Hoekman serves as the programme leader of the research master in Innovation Sciences and teaches academic integrity courses to Master students and PhD candidates. Dr. Hoekman's research is organized around three interconnected themes: Science in transition , examining how scientific practices and institutional arrangements are evolving through open science, interdisciplinary research collaborations, and alternative recognition systems; Regulatory science and innovation , investigating innovations in tools and standards for assessing risks and benefits of new technologies, including safety assessment methods and regulatory authorization standards; and Geography of science , exploring the role of location factors in scientific knowledge production and diffusion. Analysis of Dr. Hoekman's recent publications (2022-2024) reveals a strong interdisciplinary focus spanning pharmacology, toxicology, innovation studies, and science policy. Key research trends include examining conditional marketing authorization pathways, post-approval studies for conditionally authorized medicines, animal-free safety testing methodologies, and the societal impact of transdisciplinary research projects. His work frequently employs mixed-methods approaches and involves multi-stakeholder perspectives to address complex regulatory and innovation challenges. Dr. Hoekman actively contributes to policy-relevant research, including major European Commission studies on pharmaceutical legislation. His collaborative work extends across multiple institutions and involves interdisciplinary teams working on pharmaceutical policy, sustainable innovation, and science-society interactions. As a member of the Utrecht Young Academy and the UU Open Science Platform, he engages with broader academic community initiatives related to research integrity and open science practices.

Hakan Berumentمشاهده پروفایل

استاد

• Monetary Economics
• Macroeconomics
• Time Series Analysis
• +۳ مورد دیگر

Hakan Berument is a Professor in the Department of Economics at Bilkent University, Ankara, Turkey, where he has been teaching since 1995. His academic career spans over 25 years with progressive appointments from Assistant Professor to full Professor. He has also served as Director of the Bilkent Energy Policy Research Center (2018-2019) and Advisor/Director of Energy Studies at the Center for Middle Eastern Studies (2020-2022). Berument received his PhD in Economics from the University of North Carolina at Chapel Hill in 1994, following an M.S. in Economics from the University of Kentucky (1989) and a B.S. in Economics from Middle East Technical University (1987). His research focuses on Monetary Economics, Macroeconomics, Time Series Analysis, and Econometrics, with particular emphasis on energy economics, oil price dynamics, and monetary policy effectiveness. Berument has made significant contributions to understanding the relationships between oil prices, exchange rates, and economic performance, especially in emerging markets and Turkey. His work frequently examines asymmetric price effects, market structures, and policy impacts across various energy sectors. Berument's recent publications reveal a strong focus on energy economics, particularly oil and electricity markets. His research employs advanced econometric techniques to analyze time series data, with growing attention to cross-border energy trade, price transmission mechanisms, and the interplay between financial markets and energy commodities. The breadth of his work spans from micro-level consumer behavior to macroeconomic policy implications. Ranked #1 among Turkish academic economists on supervising PhD dissertations (1990-2011) Ranked #4 among Turkish academic economists based on international publications (1999-2003) Parlar Foundation Young Investigator Award (2003) Turkish Social Sciences Association Young Social Scientist Promotion Award (2002) Research Fellow to Economic Research Forum (2005-Present) Vice-president, Econometric Research Association (2005-Present) Berument has supervised numerous graduate students, including over 15 Master's theses and several PhD dissertations. His research has been supported by various funding agencies including TUBITAK and the Economic Research Forum. He has served on editorial boards of multiple economics journals and contributed to policy discussions through his work with the Central Bank of the Republic of Turkey and other institutions. He has advised on energy policy through his directorship roles and frequent participation in policy discussions. While not explicitly mentioned as leading a specific research lab, Berument has been instrumental in establishing academic initiatives including Pazar11 meetings among economists. His contributions to energy policy research through the Bilkent Energy Policy Research Center have shaped discussions on Turkish energy markets and policy frameworks.