جستجوی استاد راهنمای دانشگاهی

• International Development Cooperation
• Sustainable Development
• Local Development
• +۶ مورد دیگر

Alberto Brugnoli is a Full Professor in Applied Economics at the University of Bergamo, Italy, where he has served since 2020. He holds the UNESCO Chair on Human Rights, International Cooperation and Sustainable Development and serves as Delegate for International Cooperation in Developing Countries at the University of Bergamo. His academic career spans over 30 years with progressive appointments from Researcher to Full Professor. Brugnoli's research focuses on International Development Cooperation, Sustainable Development, Local Development, Regional Governance and Policy, Migration, Municipal Financing, and Trade. His work demonstrates a strong international dimension through collaborations with institutions like Fundação Getulio Vargas (Brazil), McGill University (Canada), OECD, and the European Commission. His recent publications show a clear trajectory toward sustainability, decarbonization, and economic transition topics. His research output reveals a progression from traditional economic policy topics toward contemporary challenges of sustainability, climate change, and social development. The most recent publications (2022-2025) predominantly address decarbonization, sustainable economic transitions, and regional development strategies, reflecting current global economic policy priorities. Award by the Scientific Committee of the First Report on Finance of the Rosselli Foundation (2012) Award by the NATO Assistant Secretary General for Public Diplomacy (2009) Recognition from Università Bocconi for editorial contributions (1999) Brugnoli has advised numerous international research projects and has extensive teaching experience in Development Economics, Regional Economics, and International Cooperation. His leadership extends to serving as President of the Master's Degree Program in Human Rights, Migration and International Cooperation (2018-2022) and various delegate roles at the University of Bergamo.

Fangzhou LUمشاهده پروفایل

استادیار

• Fintech
• Cryptocurrency
• Behavioral Finance
• +۷ مورد دیگر

Fangzhou LU is an Assistant Professor of Finance at the HKU Business School, The University of Hong Kong, since 2020. His research focuses on fintech, cryptocurrency, behavioral finance, and China's economic development. He received his academic training at prestigious institutions: PhD and MS in Financial Economics from Massachusetts Institute of Technology (MIT), 2020 BS in Business from New York University, Stern School of Business, 2014 Dr. Lu's research interests encompass Fintech, Cryptocurrency, Behavioral Finance, Entrepreneurial Finance, Household Finance, Emerging Markets, consumption, fiscal stimulus, bond markets, and China's economic development. His work often leverages large datasets from China to examine how technological innovations and government policies impact financial markets and firm behavior, particularly during crises like the COVID-19 pandemic. His recent publications demonstrate a strong trend toward applied research in emerging markets, with significant contributions on SPAC IPOs, government subsidy effectiveness for failing firms, and stock market informativeness in China. These works appear in top finance journals including the Journal of Financial Economics and Journal of Financial and Quantitative Analysis, highlighting his expertise at the intersection of finance, technology, and policy analysis.

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +۷ مورد دیگر

Professor Arcot Sowmya is a distinguished academic at the University of New South Wales, serving as Professor in the School of Computer Science and Engineering. With a strong background in both computer science and mathematics, she has established herself as a leading researcher in machine learning and computer vision applications, particularly in medical imaging and diagnostics. Dr. Sowmya earned her PhD in Computer Science from the Indian Institute of Technology, Bombay, along with an MTech in Computer Science, MSc in Mathematics, and BSc in Mathematics from the same institution. Her academic journey has positioned her at the intersection of theoretical computer science and practical medical applications. Her research interests span multiple domains with a primary focus on Machine Learning for Computer Vision . She has made significant contributions to learning object models, feature extraction, segmentation, and recognition techniques. Her work extends into medical image analysis, computer-aided diagnostics, high-resolution remote sensing, and biomedical informatics. More recently, she has applied similar techniques to social sciences domains, developing improved forecasting models for genocide and politicide. Her earlier work also includes contributions to real-time, concurrent, and embedded systems. Analyzing her recent publications reveals a strong trend toward medical applications of computer vision and deep learning. Her work spans from OCT-based glaucoma diagnosis to tumor segmentation, lung disease detection, and breast cancer prognosis. She has successfully bridged computer science with clinical medicine, developing practical tools for disease diagnosis and prediction that incorporate explainable AI approaches. Professor Sowmya's collaborative approach is evident in her extensive publication record across multiple journals and conferences. She has worked with researchers from diverse fields including ophthalmology, oncology, neurology, and public health, demonstrating the interdisciplinary nature of her research. Her laboratory work focuses on developing robust deep learning architectures for medical image analysis, with particular attention to segmentation networks, transformer models, and multimodal data fusion techniques. Her team has developed specialized networks for lung segmentation, tumor detection, and disease classification that address specific challenges in medical imaging.

• Computational Photonics
• Optical Engineering
• Quantum Optics
• +۴ مورد دیگر

Özüm Asirim is a Researcher at the Technical University of Munich (TUM) under the Associate Professorship of Computational Photonics led by Prof. Christian Jirauschek. Her work focuses on computational photonics , quantum optics , and nonlinear optical phenomena , particularly in micro-resonators and semiconductor devices. Education: Ph.D. in Electrical Engineering from Middle East Technical University (Ankara, Turkey). Research spans optical parametric amplification , Fourier domain mode-locked lasers , self-phase modulation , and machine learning applications in photonics . Her studies include optimizing gain factors, enhancing harmonic generation, and modeling supercontinuum sources via carrier injection. Recent publications (2019–2023) highlight interdisciplinary approaches, merging photonics with computational finance and nonlinear dynamics . She contributes to EU Project QOMBS and teaches courses like Python for Engineering Data Analysis and Quantum Engineering and Machine Learning seminars. Collaborations include Prof. Christian Jirauschek (TUM), Prof. Mustafa Kuzuoğlu (Middle East Technical University), and teams in computational photonics and quantum optics. Her work impacts semiconductor physics , laser technology , and adaptive optical systems .

Steven A. Millerمشاهده پروفایل

استاد

• Personality characteristics
• Individual differences
• Emotional experiences
• +۵ مورد دیگر

Dr. Steven A. Miller is a Professor of Psychology in the Department of Psychology at Rosalind Franklin University of Medicine and Science, within the College of Health Professions. He joined RFUMS in 2013 and serves as a statistics consultant for the university. His academic background includes a PhD in Social Psychology from Loyola University Chicago, an M.S. in Psychology from Illinois State University with specialization in Clinical Psychology, and an M.S. in Mathematics from Loyola University Chicago with specialization in Probability and Statistics. PhD in Social Psychology, Loyola University Chicago M.S. in Psychology, Illinois State University (Clinical Psychology specialization) M.S. in Mathematics, Loyola University Chicago (Probability and Statistics specialization) Dr. Miller's research focuses on the intricate relationship between personality characteristics/individual differences and emotional experiences. He investigates anxiety and emotional disorders, social cognitive models of personality, and applies quantitative methodology to psychological questions. His work examines intra-individual variability in emotional responses and how situational factors interact with personality to shape emotional experiences. He employs diverse methodologies including experience sampling studies and laboratory experiments to explore these complex dynamics. His recent publications demonstrate a strong focus on psychopathy, emotion regulation, network analysis of personality, and the tripartite model of anxiety and depression. His work spans clinical, forensic, and general populations, often employing sophisticated statistical techniques. There's a clear trajectory toward more complex modeling approaches including network analysis, longitudinal modeling, and advanced psychometric techniques across his publication history. Accredited Professional Statistician (PStat®) with the American Statistical Association Chartered Statistician (CStat) with the Royal Statistical Society Dr. Miller actively mentors graduate students, with numerous student co-authors appearing in his publications. He teaches advanced statistical courses including multivariate statistics, longitudinal models, and categorical data analysis. He is currently accepting doctoral students for the 2026/2027 academic year. His collaborative research spans multiple institutions including DePaul University and Texas A&M, focusing on emerging adults, romantic relationships, and chronic illness. His research laboratory examines the fundamental relationship between personality and emotion, exploring how situational contingencies and individual expectancies shape emotional responses. Current collaborative projects investigate daily experiences of emerging adults, psychopathy in romantic relationships, and social media use among individuals with chronic illness using diverse methodological approaches.

• Wave Propagation
• Seismic Data Modelling and Inversion
• Exploration Geophysics
• +۳ مورد دیگر

Prof. Dr. Johan Robertsson is a Full Professor of Applied Geophysics and Head of the Exploration and Environmental Geophysics (EEG) Group at ETH Zürich's Department of Earth and Planetary Sciences. He holds a MSc from Uppsala University (1991) and a PhD in Geophysics from Rice University (1994). Before joining ETH in 2012, he spent 15 years at Schlumberger in R&D roles, leading projects that revolutionized marine seismic data acquisition. His research focuses on wave propagation physics, seismic data inversion, and applications in exploration and environmental geophysics. He pioneered the use of Distributed Acoustic Sensing (DAS) for landslide monitoring and contributed to Mars seismology via the InSight mission. Education: MSc in Engineering Physics, Uppsala University (1991) PhD in Geophysics, Rice University (1994) Research Interests: Seismic wavefield modeling and inversion Planetary seismology (Mars, Moon) Acoustic metamaterials and wave control Environmental geohazard monitoring Marine seismic acquisition techniques His work on the Martian soil properties using InSight data and lunar exploration instrumentation (ALGEP) reflects his cross-disciplinary approach. He holds 90+ patents and has secured prestigious grants like the ERC Advanced Grant. Awards: EAGE Guido Bonarelli Award (2020) ERC Advanced Grant MATRIX (2017) EAGE Conrad Schlumberger Award (2018) Grants & Advising: Led the MATRIX ERC project advancing seismic imaging algorithms Advised over 20 PhD/MS students (names not listed) Secured Schlumberger's largest R&D project in marine seismic sampling His EEG Group operates cutting-edge labs for immersive wave experimentation and planetary geophysical instrumentation. Current initiatives include lunar subsurface exploration and acoustic invisibility experiments.

Fritz Bruggerمشاهده پروفایل

مدرس

• Development Economics
• Natural Resource Extraction
• Public Health Policy
• +۳ مورد دیگر

Fritz Brugger is a Lecturer at the Department of Humanities, Social and Political Sciences at ETH Zürich and serves as the executive director of NADEL (Network for African-Ethiopian Development Linkages). He holds a PhD in Development Studies from the Graduate Institute of International and Development Studies in Geneva. His research focuses on the developmental impacts of natural resource extraction, extractive industries' corporate roles, and governance challenges in Sub-Saharan Africa. Key areas include health impacts of mining, illicit financial flows, and policy interventions in resource-dependent economies. Prior to joining ETH Zürich, Brugger worked at Helvetas for eight years, later becoming a consultant on governance issues in water management, agriculture, and corporate responsibility. He designed an index-based agricultural insurance system and a mobile-tech platform for smallholder farmers' market access. His work spans diverse regions, with a focus on Burkina Faso, Ghana, and Mozambique. His publications emphasize interdisciplinary approaches, such as Q-methodology for policy engagement, and address topics like mercury use in artisanal mining, corporate due diligence, and the energy transition's impact on social licenses. He contributes to global debates on illicit financial flows, tax evasion, and sustainable development goals implementation through multilateral institutions. Brugger's advisory and grant work includes projects on health impact assessments in mining communities, policy coherence in development aid, and the nexus of extractive industries and conflict. He collaborates with NGOs, governments, and private sector entities to bridge research and policy, particularly in fragile contexts.

Naz Koontمشاهده پروفایل

استادیار

• Financial Intermediation
• Credit Markets
• Technology
• +۵ مورد دیگر

Naz Koont is an Assistant Professor of Finance at the Stanford Graduate School of Business . Her research explores how technology and nonbank intermediaries reshape banking landscapes, focusing on financial stability, competition, and consumer welfare. PhD in Finance (Columbia Business School, 2024) MPhil in Finance (Columbia Business School, 2021) Honors BSc in Mathematics and Economics (University of Toronto, 2018) Her research interests include: Financial Intermediation : Analyzing digital banking’s impact on bank roles. Credit Markets : Studying credit lines and leverage constraints. Industrial Organization : Modeling competition dynamics in banking. Technology : Assessing digitalization’s effects on financial systems. Article trends reveal her work combines empirical analysis and structural modeling to examine: Digital banking’s role in bank competition and consumer welfare Credit lines’ function in debt dilution mitigation ETFs’ active management strategies in illiquid markets Peer effects in deposit market demand Scientific awards include: HEC Paris Top Finance Graduate Award (2024) Bernstein Center Doctoral Grant (2021) Columbia Finance Department Best 4th Year Paper (2021)

Themistoklis Sapsisمشاهده پروفایل

استاد

• Probabilistic Prediction
• Nonlinear Systems Analysis
• Machine Learning in Fluid Dynamics
• +۳ مورد دیگر

Themistoklis Sapsis is a Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT), where he also holds an affiliation with the MIT Institute for Data, Systems, and Society. He earned his Ph.D. in Mechanical Engineering from MIT in 2011 and previously served as an Assistant Research Scientist at NYU’s Courant Institute of Mathematical Sciences. His research focuses on developing analytical, computational, and data-driven methods to predict and quantify extreme events in high-dimensional nonlinear systems, such as turbulent fluid flows and mechanical systems. Key areas include probabilistic modeling of climate extremes, machine learning for climate simulation corrections, and uncertainty quantification in complex dynamical systems. Recent work emphasizes applications in ocean engineering (e.g., vortex-induced vibrations, wave energy systems) and environmental science (e.g., spatially resolved climate extremes, bias correction in Earth system models). His methodologies combine stochastic emulators, Bayesian experimental design, and neural networks to address challenges in data sparsity and model fidelity. Notable contributions include frameworks for correcting coarse-scale climate simulations using machine learning, real-time ocean temperature reconstruction from satellite data, and data-driven modeling of hydrodynamic interactions in marine risers. His research bridges theoretical developments with practical applications in energy systems, structural monitoring, and autonomous systems. Prof. Sapsis collaborates with interdisciplinary teams and has contributed to initiatives such as FIRSTLING-DIGIMAR (a marine riser digital twin) and multi-fidelity frameworks for autonomous seakeeping. His work is supported by grants focused on advancing machine learning in scientific modeling and extreme event prediction.

Alan Bovikمشاهده پروفایل

استاد

• Image quality
• Video compression
• Streaming video
• +۷ مورد دیگر

Alan Bovik is the Cockrell Family Regents Endowed Chair Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin's Cockrell School of Engineering. He also holds positions at The Institute for Neurosciences and serves as Director of the Laboratory for Image and Video Engineering (LIVE). With a career spanning over three decades at UT Austin, he has progressed from Assistant Professor (1984-1988) to Associate Professor (1988-1994) to his current position as Full Professor (1994-present). Dr. Bovik received his Ph.D. in Electrical and Computer Engineering in 1984 from the University of Illinois, Urbana-Champaign. Professor Bovik's research focuses on image and video quality assessment, visual perception, and digital media processing. He is renowned for developing groundbreaking algorithms including the Structural Similarity (SSIM) index, Visual Information Fidelity (VIF), and various blind quality assessment models like BRISQUE and NIQE. His work bridges engineering and neuroscience, creating perception-based models that optimize visual media delivery while reducing bandwidth consumption. These innovations have had profound industry impact, with his algorithms processing a significant proportion of global internet video traffic. His recent publications demonstrate continued leadership in perceptual quality assessment, with increasing focus on AI-generated content, high dynamic range (HDR) video, and novel applications in medical imaging. The research shows a clear trajectory toward more sophisticated, neural network-based quality metrics that better align with human visual perception across diverse content types. Professor Bovik has received numerous prestigious awards recognizing his contributions to the field: John Fritz Medal (2024) IEEE Edison Medal (2022) IAMB BaM Award (2022) Elected to the United States National Academy of Engineering (2022) Technology and Engineering Emmy Award (2021) IEEE Fourier Award for Signal Processing (2019) Progress Medal from The Royal Photographic Society (2019) Named Honorary Fellow of The Royal Photographic Society (2019) Primetime Emmy Award (2015) Edwin H. Land Medal from The Optical Society (2017) As Director of the Laboratory for Image and Video Engineering (LIVE), Professor Bovik has secured substantial research funding from organizations including the National Science Foundation and the National Institute for Standards and Technologies. His lab has produced numerous influential datasets including the LIVE Image and Video Quality Databases. He has mentored many successful students who have gone on to make significant contributions in academia and industry, though specific student names are not provided in the source materials. The Laboratory for Image and Video Engineering (LIVE) under Professor Bovik's direction has become a world-renowned center for research in perceptual image and video quality. The lab maintains close collaborations with major technology companies including Netflix, Amazon, and YouTube, ensuring that research has direct practical applications. LIVE has developed numerous influential tools and databases that are widely used in both academic research and industrial applications worldwide.

Lin Chenمشاهده پروفایل

دانشگاهی

• Financial Technology
• Banking and Financial Institutions
• Corporate Finance
• +۴ مورد دیگر

Lin Chen is the Chair Professor of Finance and Stelux Endowed Professor in Finance at the University of Hong Kong (HKU), serving as Associate Dean (Research and Knowledge Exchange) in the Faculty of Business and Economics. He holds a PhD from the University of Florida and has held academic leadership roles at HKU and Chinese University of Hong Kong (CUHK). His research focuses on financial technology, banking systems, corporate finance, and economic development, with notable contributions to understanding financial resilience during crises and institutional reforms. Educations: PhD/MBA in Finance from University of Florida, B.E. in Engineering from South China University of Technology Leadership roles: Associate Dean (HKU), Board Member of HKU-Standard Chartered FinTech Academy, Currency Board Committee member Research interests span financial innovation , banking competition , corporate governance , and ESG integration . Key projects include RGC Theme-based grants on FinTech stability/inclusion and HK's financial center development. His work is published in top journals like Journal of Financial Economics and Review of Financial Studies . He has advised major institutions including Hong Kong Monetary Authority, World Bank, and China Construction Bank. Awards include the Jensen Prize (2011), Nobel nomination (2016), and honorary professorships from Edinburgh and Berkeley. Grants coordination includes HK$24.4 million FinTech project (2020-2025) and leadership roles in research centers like HKU’s Financial Innovation & Development Centre. Active in editorial roles for Management Science and policy advisory groups. Media engagements include BBC, Bloomberg, and Harvard Law School forums. Current initiatives focus on Web3.0 development in HK and financial inclusion strategies.

Erica Garciaمشاهده پروفایل

مدرس ارشد

• Aquatic Ecology
• Wetland Ecology and Management
• Food Web Ecology
• +۴ مورد دیگر

Dr. Erica Garcia is a Senior Lecturer in Environmental Science at Charles Darwin University’s Faculty of Science and Technology, specializing in aquatic ecology. She leads research on river, wetland, and groundwater ecosystems, focusing on food web dynamics and biodiversity in changing environments. Her current projects include citizen science initiatives for groundwater security and wetland condition assessments. Dr. Garcia holds a PhD from Michigan State University (2006) and a B.A. from the University of California, Berkeley (1999). She teaches courses in ecology and resource management and collaborates on interdisciplinary projects addressing water sustainability in Northern Australia. Her research spans observational, experimental, and molecular methods to understand ecosystem processes. Education: PhD in Zoology/Ecology, Evolutionary Biology and Behavior, Michigan State University (2000–2006) Bachelor of Science in Integrative Biology, University of California, Berkeley (1995–1999) Research Interests: Dr. Garcia’s work emphasizes freshwater ecosystems, including food web interactions, groundwater ecology, and the impacts of human activities on riverine systems. She employs eDNA, isotopic analysis, and remote sensing to assess ecosystem health and biodiversity. Current projects investigate groundwater resources and citizen science approaches to environmental monitoring. Grants & Projects: Co-lead on the Northern Australian Community Groundwater Security Project (citizen science) Principal Investigator for the Adelaide River Aquatic Ecosystem Mapping project (2023–2024) Collaborator on the Water Security for Northern Australia Program (2023–2026) Labs/Teams: She is affiliated with the Research Institute for the Environment and Livelihoods at CDU and collaborates with international networks on global river ecology and climate change impacts.

Anna Traianouمشاهده پروفایل

استاد

• Education Policy
• Teacher Expertise
• Research Ethics
• +۶ مورد دیگر

Professor Anna Traianou is a distinguished academic at Goldsmiths, University of London, where she serves as Professor of Education and Director of the Centre for Identities and Social Justice. Her work spans multiple dimensions of educational research with a particular focus on the intersection of policy, practice, and ethics in contemporary educational contexts. Her research interests center on culture, learning and teacher 'expertise' in contemporary policy and politics; the contestation of education policy in contemporary Europe, austerity and the changing form of the education state; and philosophical perspectives on ethics and their implications for researcher autonomy. She has published extensively on these topics, with notable works including 'Understanding Teacher Expertise in Primary Science: a sociocultural approach' (2006) and 'Ethics in Qualitative Research: Controversies and Contexts' (2012) co-written with Martyn Hammersley. More recently, she co-edited 'Austerity and the Remaking of European Education' (2019) with Ken Jones. Her recent publications reveal a strong focus on education policy under austerity conditions, particularly in Greece, where she has examined the role of trade unions in education reform and the intricacies of conditionality in policy implementation. She has also made significant contributions to research ethics, particularly regarding the concept of vulnerability in social research and its application to studies involving political elites. Professor Traianou teaches on the BA (Honours) Education Culture and Society, MA Education: Culture Language and Identity, and MPhil/PhD Education programmes. Her doctoral supervision focuses on education policy, particularly the interplay between supranational policy influence and national traditions; learning and teacher 'expertise' in contemporary policy and politics; and research ethics as situated practice. She has secured significant research funding, including from the British Academy (2019-2022) for research on structural adjustment in Greece (2010-2018) and from the National Education Union (NEU) for her current project on teachers' curriculum autonomy. Her recent report 'Are you on slide 8 yet?' examines the impact of standardized curricula on teacher professionalism.

Orly Linovskiمشاهده پروفایل

دانشیار

• Transportation Equity
• Urban Planning
• Professional Planning Practice
• +۳ مورد دیگر

Orly Linovski is an Associate Professor in the Department of City Planning at the University of Manitoba’s Faculty of Architecture. Her work bridges professional planning practice, political processes, and urban space, emphasizing equity and justice. She holds a PhD from UCLA and advanced degrees from the University of Toronto and McGill University. Education: PhD (Urban Planning), University of California, Los Angeles M.Sc. (Urban Planning), University of Toronto B.A. (Geography/Urban Systems), McGill University Research focuses on transportation equity, private sector consulting roles, and municipal governance. Notable themes include equity in transit planning, professional practice dynamics in publicly traded firms, and participatory engagement strategies. Her work has been funded by SSHRC, MITACS, and the Centre for Professional and Applied Ethics. Teaching includes courses like Transportation and Urban Form (ARCG 7080) and Planning Research Methods (CITY 7020). She supervises students exploring transportation equity, professional planning practice, or privatization in planning, particularly with GIS or qualitative methods. Grants and Awards: Her research has been supported by SSHRC, MITACS, and other institutions. Collaborations include projects like the SSHRC-funded study on transit equity for marginalized groups in Canada. Labs/Teams: Active in the Manitoba Professional Planners Institute and as a Registered Professional Planner. Engaged in community-based research through partnerships highlighted in her SSHRC-funded projects.

Vishnu Pareekمشاهده پروفایل

استاد

• Multiphase Flow Modelling
• Computational Fluid Dynamics
• Flow Assurance
• +۷ مورد دیگر

Professor Vishnu Pareek is the John Curtin Distinguished Professor at Curtin University, leading the Western Australian School of Mines (WASM) within the Faculty of Science and Engineering. He has held academic roles including Dean of Engineering, Head of School, and various professorships since 2002. His research focuses on multiphase flow modeling, computational fluid dynamics, and reactor engineering, with applications in energy and chemical processes. He holds a BE (Hons) from MNIT, MTech from IIT Delhi, and a PhD from UNSW. Key research interests include LNG process modeling, erosion modeling, and granular flow dynamics. He has authored over 200 peer-reviewed publications, with recent work emphasizing structured packing design, biomass gasification, and additive manufacturing for process intensification. Notable projects include CFD-ANN hybrid models for fluidized beds and experimental studies on 3D-printed structured packings. His expertise spans industrial collaborations in LNG safety, fluid catalytic cracking, and biofuel production. Teaching areas include chemical engineering fundamentals and process systems engineering. He advises on energy policy and leads research teams in multiphase flow and reactor design.