جست‌وجوی استاد و پژوهشگر

Vesna Bucevskaمشاهده پروفایل

استاد

• Econometrics
• Financial Econometrics
• Statistics
• +۱ مورد دیگر

Prof. Dr. Vesna Bucevska is a Full Professor in the Department of Mathematics and Statistics at the Faculty of Economics, Ss. Cyril and Methodius University in Skopje. She teaches Econometrics, Financial Econometrics, and Statistical Quality Control at undergraduate levels, and Theoretical Econometrics, Advanced Econometrics, and Statistical Quality Control at graduate levels. She also instructs doctoral candidates in Statistical Methods for Business and Economics and Demography. Her research spans four core domains: Econometrics : Theoretical modeling and applied statistical methods Financial Econometrics : Market analysis and risk assessment Statistics : Methodological innovations Statistical Quality Control : Process optimization frameworks She has authored 5 textbooks, 8 teaching guides, and 120 peer-reviewed publications in international journals. Her recent work focuses on European economic integration, labor markets, remittances, and FDI impacts in Southeast Europe. Administrative Leadership : Prodekan for Science & International Cooperation (2013-2018) Director: Doctoral/Master's programs in Statistical Methods for Business and Economics Coordinator: TEMPUS project consortium with Roma Tre University & Carlos III University of Madrid Editor-in-Chief: Journal of Contemporary Economic and Business Issues Awards : Best Scientist in Social Sciences, Ss. Cyril and Methodius University (2017) Global Engagement : Research visits to Cambridge, Bocconi University, Freie Universität Berlin, and lectures in 10+ countries. Fluent in English/German with intermediate Chinese; advanced user of EViews, SPSS, SAS, and Reuters EcoWin Pro.

• Epilepsy
• Drug-Resistant Epilepsy
• Epilepsy Surgery
• +۳ مورد دیگر

Juan Luis Alcala Zermeno, MD, serves as an Assistant Professor of Neurology at Columbia University Medical Center, specializing in drug-resistant epilepsy and surgical interventions. A native Spanish speaker, he practices at the Neurological Institute of New York and Columbus Circle locations, offering virtual visits for new patients with expertise in EEG interpretation and seizure disorder management. His educational journey includes: MD from Universidad de Guadalajara (2017) with Dean's Mention of Outstanding Academic Performance Internal Medicine Internship at Mayo Clinic (2019) Adult Neurology Residency at Mayo Clinic (2022) Clinical Neurophysiology Fellowship at Thomas Jefferson University (2023) Epilepsy Fellowship at Thomas Jefferson University (2024) Dr. Alcala's research centers on epilepsy surgery outcomes for drug-resistant cases unsuitable for resection, with particular focus on racial and socioeconomic barriers limiting access to these life-changing procedures. He employs mixed-methods approaches combining quantitative surgical outcome analysis with qualitative exploration of systemic healthcare disparities, aiming to develop equitable pathways to epilepsy surgery. His publication record (2018-2025) reveals evolving expertise from HIV comorbidity research to cutting-edge epilepsy neuromodulation studies. Recent work examines responsive neurostimulation, invasive device utilization disparities, and surgical prediction tools, demonstrating both clinical neurophysiology depth and health services research innovation. Professional recognition includes: Young Investigator Award from the American Epilepsy Society (2023) While specific grant funding isn't detailed in available sources, his research trajectory indicates active investigation into healthcare access barriers and surgical outcome optimization. His clinical practice at Columbia's Neurological Institute positions him at the forefront of translating research into improved epilepsy care pathways.

• Electrical engineering
• Electronics, sensors and digital hardware
• Distributed computing and systems software
• +۶ مورد دیگر

Masood Parvania is the Roger P. Webb Endowed Professor at the University of Utah in Electrical and Computer Engineering. He serves as Director of the Utah Smart Energy Laboratory (U-Smart) and Co-Director of the NSF WIRED Global Center . His research focuses on mathematical optimization , control theory , and machine learning applications in power system operation, resilience, and interdependent infrastructure modeling. His work addresses critical challenges including: Equity-aware grid restoration Climate-resilient energy systems Cyber-physical security analysis Hybrid energy storage coordination Extreme heat event mitigation strategies Key research trends across his 15 most recent publications reveal deep integration of: Renewable energy with storage systems Machine learning in real-time grid operation Cybersecurity frameworks for critical infrastructure Equity metrics in energy distribution Honors include: IEEE Outstanding Associate Editor Award (2022) University of Utah Presidential Scholar (2020) IEEE Utah Section Outstanding Educator Award (2017) Multiple Best Reviewer and Distinguished Service Awards As Associate Editor for IEEE Transactions on Power Systems , he actively shapes energy research discourse while leading NSF-funded initiatives like: U.S.-Canada Climate-Resilient Grid Center ($90M+ Western EV Infrastructure Scale-Up Wasatch Multi-Modal Corridor Electrification

• Machine Learning
• Artificial Intelligence
• Data Analytics
• +۹ مورد دیگر

Dr. Mukesh Prasad is an Associate Professor at the School of Computer Science , University of Technology Sydney (UTS). With expertise in Machine Learning , Artificial Intelligence , and Computer Vision , his research addresses applications in healthcare, biomedical science, and smart infrastructure. He holds a Ph.D. in Computer Science from National Chiao Tung University, Taiwan, and an M.S. in Computer and Systems Sciences from Jawaharlal Nehru University, India. Key research areas: Machine Learning, AI, Brain-Computer Interfaces, IoT, and Evolutionary Computation Industry experience: Principal Engineer at TSMC (2016-2017), Postdoctoral Researcher at National Chiao Tung University Dr. Prasad has secured competitive grants for AI applications in disaster response, conversational agents, and medical diagnostics. His work has been published in high-impact venues like IEEE , ACM Transactions , and Springer Nature , with over 200 peer-reviewed papers. He serves on editorial boards for journals including Frontiers in Neurorobotics and ACM Computing Surveys . Scientific Awards: Vice Chancellor Teaching and Learning Citation Award (2019) Alumni Fellowship for Ph.D. (2014) Golden Bamboo NCTU Fellowship (2010) Professional Members: IEEE (2011), ACM (2019)

Jennyمشاهده پروفایل

استاد

• Turbulent Combustion Modeling
• Computational Fluid Dynamics
• Rarefied Gas Kinetics
• +۴ مورد دیگر

Professor Jenny leads the Jenny Research Group at ETH Zürich, specializing in turbulent reactive flows, rarefied gas kinetics, and biomedical fluid dynamics. Her work bridges fundamental research with industrial applications in energy systems and fluid mechanics. Develops advanced turbulence models (TDDM, hybrid LES/RANS) for multi-scale flows Pioneers data assimilation frameworks for RANS simulations using adjoint methods Advances particle-based stochastic algorithms for fractured porous media transport Her recent publications emphasize adaptive time integration techniques, probabilistic modeling of non-linear transport phenomena, and optimized simulation tools for hydrogen storage systems. The group's methodological innovations focus on reducing computational costs while maintaining physical accuracy through novel regularization strategies. Key applications include combustion device optimization, high-pressure tank filling analysis, and fractured reservoir simulations. Current projects integrate machine learning with traditional CFD methods to address challenges in droplet clustering, flame surface density propagation, and supersonic spray dynamics. The research framework spans from direct numerical simulations of fundamental flow physics to industrial-scale hybrid modeling implementations.

Johannes Pfauمشاهده پروفایل

پژوهشگر

• FPGA Architecture
• Reconfigurable Computing
• Digital Beamforming
• +۳ مورد دیگر

Dr. Johannes Pfau serves as a Scientific Assistant at the Institute for Information Processing Technology (ITIV) within Karlsruhe Institute of Technology (KIT), working in Prof. Becker's research group. His position combines postdoctoral research in advanced FPGA architectures with teaching responsibilities including System-on-Chip internships and academic advising for specialized engineering tracks. Education: Doctorate (Dissertation) in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, 2024 Research Interests: Pfau's work centers on reconfigurable computing with three interconnected pillars: (1) Next-generation FPGA architectures using emerging technologies like RFETs that require fundamental toolchain redesigns; (2) Digital beamforming systems for satellite Earth observation that replace analog processing with FPGA-based solutions to enable on-orbit data compression; and (3) High-throughput data acquisition systems for 6G prototyping handling multi-100Gbps streams through RFSoC platforms. His research bridges semiconductor physics, hardware architecture, and practical applications in communications and remote sensing. Publication Trends: Pfau's 15 most recent publications (2021-2024) reveal a strong focus on practical FPGA implementations addressing real-world constraints. His work increasingly integrates power management (7 papers), 6G infrastructure (5 papers), and novel semiconductor technologies (4 papers), with a clear trajectory toward hardware solutions for satellite communications and next-generation wireless systems. The research demonstrates consistent progression from architectural innovations (RFET, V-FPGAs) to applied systems (beamforming, 6G testbeds). Advising and Mentorship: Pfau maintains an active student supervision portfolio with documented guidance of 7+ Bachelor's and Master's theses since 2021. His projects emphasize hands-on hardware development, spanning power management techniques, beamforming filter design, and prosthetic control systems. The academic advising role for specializations 13 and 21 positions him at the intersection of computer science and electrical engineering education. Research Context: As a core member of Prof. Becker's group at ITIV, Pfau contributes to KIT's leadership in reconfigurable systems research. The group maintains strong industry connections through 6G initiatives and satellite technology development, with Pfau's work directly supporting German and European efforts in secure communications infrastructure and Earth observation systems.

• Combustion Engineering
• Fluid Mechanics
• Aerodynamics
• +۳ مورد دیگر

Franck Richecoeur is an Associate Professor at CentraleSupélec, specializing in experimental combustion and thermoacoustic phenomena. He holds a HDR (French post-doctoral degree) from the University of Rouen and has supervised PhD students like PIEYRE Amanda, MAZUR Marek, and TAO Wenjie. Education: PhD in High-frequency combustion instabilities (2006, École Centrale Paris), Master's (2003, University of Poitiers), Engineering degree (2003, ENSMA) Research Focus: Flame dynamics, combustion noise, ultrasound-based diagnostics, acoustic boundary conditions, and combustion instabilities in aerospace propulsion systems. Scientific Contributions: Over 20 peer-reviewed publications (e.g., Journal of Fluid Mechanics , Combustion and Flame ), with recent works on spray combustion dynamics, thermoacoustic optimization, and droplet evaporation diagnostics. Awards: Stanford Summer Program Fellowship (2012), AIAA Best Paper Award (2006) Teaching: Fluid mechanics, aerodynamics, and multidisciplinary project courses at École Centrale Paris.

Tamara McGavockمشاهده پروفایل

دانشیار

• Labor Economics
• Development Economics
• Gender Norms
• +۵ مورد دیگر

Tamara McGavock serves as Associate Professor of Economics at Grinnell College (currently on leave with tenure) and holds concurrent appointments as Visiting Associate Professor at the University of Chicago's Center for the Economics of Human Development under Nobel laureate James Heckman, Visiting Scholar at the Federal Reserve Bank of Chicago, and Invited Researcher with the Abdul Latif Jameel Poverty Action Lab (J-PAL). Her research program sits at the intersection of labor and development economics, specializing in intra-household allocation dynamics and traditional gender norms surrounding caretaking. McGavock pioneers methodological innovations combining high-quality quantitative techniques with ethnographic insights, particularly through high-frequency phone surveys measuring time use, social norms perceptions, and behavioral nudges to increase men's childcare participation. Her work spans Sub-Saharan Africa with significant focus on Ethiopia, addressing critical issues including child marriage, female genital cutting, and unpaid labor distribution. McGavock's publication record shows consistent output in top journals including the Journal of Development Economics and Journal of Policy Analysis and Management , with recent work (2023-2025) emphasizing survey methodology innovations and gender norm interventions. Her current projects examine mental health impacts of care work redistribution, dietary diversity measurement, and stigma reduction in household labor participation. As an educator, she mentors undergraduate researchers at Grinnell College and presents regularly at major conferences including the American Economic Association meetings. Her collaborative work extends to partnerships with CARE Ethiopia, World Vision Ethiopia, and the World Bank Gender Group.

• Climate Impact Research
• Fire Modeling
• Vegetation Dynamics
• +۴ مورد دیگر

Kirsten Thonicke serves as Group Leader and Deputy Chair of the Research Domain 'Earth System Analysis' at the Potsdam Institute for Climate Impact Research (PIK) in Germany. Her career spans postdoctoral work at the Max Planck Institute for Biogeochemistry (Jena), a Marie-Curie Fellowship at the University of Bristol, and graduate training at Potsdam University's Institute for Geoecology. Her research focuses on climate-vegetation-fire interactions using the LPJmL dynamic global vegetation model. Key areas include: Fire modeling (SPITFIRE, BASE) for global and regional burnt area simulation Amazon deforestation impacts and forest recovery thresholds Drought adaptation mechanisms in European forests Biogeochemical cycling in managed ecosystems (pastures, croplands) Functional diversity effects on ecosystem resilience Thonicke's 15 most recent publications (2023-2025) reveal a strong emphasis on model uncertainty quantification, fire-climate feedbacks, and adaptation strategies under extreme events. Her work increasingly integrates anthropogenic factors like grazing and land management into Earth system models. Scientific recognition includes: Marie-Curie Fellowship Peer review for Nature family journals Leadership in PIK's Earth System Analysis domain Her research program demonstrates robust funding through continuous high-impact publications and international collaborations. Current projects address wildfire risk mitigation in Europe, Amazon tipping points, and improving vegetation model representations of functional diversity. Thonicke actively mentors through PIK's structured PhD programs and collaborates with institutions across Europe, Brazil, and the UK. As Group Leader, she oversees model development teams working on LPJmL-SPITFIRE, BASE, and pasture-burning modules. Her group maintains strong ties with observational scientists for model validation and participates in global model intercomparison initiatives.

Koji Miwaمشاهده پروفایل

دانشیار

• Psycholinguistics
• Word Recognition
• Bilingualism
• +۴ مورد دیگر

Dr. Koji Miwa is an Associate Professor at Nagoya University's Graduate School of Humanities, specializing in psycholinguistics with a focus on experimental approaches to understanding how language is processed in the mind. His academic journey includes a Ph.D. in Linguistics from the University of Alberta, followed by postdoctoral work at the University of Tübingen before joining Nagoya University in 2017. Ph.D. in Linguistics, University of Alberta (2007-2013) M.A. in Linguistics, University of Alberta (2004-2007) B.A., Mount Royal College (2002-2004) Dr. Miwa's research primarily investigates how complex words are represented and processed in the mind, with special attention to bilingual reading processes where two languages coexist in a single mind. His work employs sophisticated methodologies including eye-tracking technology to measure real-time cognitive processing during language tasks. He examines morphological decomposition, cross-linguistic influences, and the cognitive mechanisms underlying efficient language processing, with particular emphasis on Japanese-English bilingualism and morphographic scripts. His research consistently explores how humans process complex linguistic information effortlessly and efficiently, often at subconscious levels. Dr. Miwa's recent publications reveal an expanding research program that now includes metaphor comprehension, analogical reasoning, and event role conceptualization across languages. His work bridges theoretical linguistics with empirical cognitive science, often employing advanced statistical modeling techniques like generalized additive mixed models to analyze complex language behavior data. The ENglish Reading Online (ENRO) Project represents a significant contribution to large-scale data collection in second language reading research. Izaak Walton Killam Memorial Scholarship (2010) Roger S. Smith Undergraduate Researcher's Award (2006) As an educator, Dr. Miwa emphasizes balanced development across multiple dimensions of life and learning. His supervision style focuses on cultivating mindfulness, service, and knowledge in students. He serves on editorial boards for PeerJ, Frontiers in Psychology, and Studies in Language Sciences, contributing significantly to scholarly review processes. His research lab at Nagoya University maintains active international collaborations, particularly with researchers in Canada, Europe, and other parts of Asia. Dr. Miwa also maintains a thoughtful personal mission statement that emphasizes living a balanced life while considering fundamental questions about existence.

• nonparametric statistics
• Statistics of random processes
• numerical methods of stochastics
• +۵ مورد دیگر

Denis Vitalievich Belomestny is a Leading Researcher at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE) in Moscow. He is affiliated with the Institute of Artificial Intelligence and Digital Sciences and the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis. Belomestny joined HSE in 2014 and has accumulated 11 years of scientific and teaching experience. His academic background includes a Candidate of Physical and Mathematical Sciences degree from Lomonosov Moscow State University (2002) and a specialty in Applied Mathematics from the same university (1998). Belomestny's research focuses on nonparametric statistics , statistics of random processes , numerical methods of stochastics , and financial mathematics . His work demonstrates a strong interdisciplinary approach bridging theoretical mathematics with practical applications in machine learning and artificial intelligence. He has made significant contributions to the analysis of stochastic differential equations, particularly McKean-Vlasov type models, and has developed innovative methods combining deep learning with traditional statistical techniques. His recent publication record shows a clear trend toward integrating deep neural networks with classical stochastic analysis. The 15 most recent articles reveal a growing emphasis on applying machine learning techniques to solve complex problems in statistical inference, particularly in areas like variance reduction, optimal stopping, and density estimation. His research spans both theoretical foundations and practical applications, with increasing focus on the intersection of probability theory and modern AI methodologies. Academic Work Allowance (2020–2021, 2019–2020) Bonus for an article in a foreign peer-reviewed scientific publication (2016–2018) Best Teacher of 2019 Belomestny has been actively involved in advising students and junior researchers, with numerous co-authored publications indicating his mentorship role. He is a key member of the International Laboratory of Stochastic Algorithms and Multidimensional Data Analysis, which received a significant grant from the Russian Science Foundation in 2018 (project No. 18-11-00132) led by Alexey Naumov, with Belomestny as a principal investigator. The laboratory focuses on high-dimensional data analysis and modern stochastic algorithms, positioning Belomestny at the forefront of research in these rapidly developing fields.

• Stellar Archaeology
• Galactic Evolution
• Stellar Spectroscopy
• +۳ مورد دیگر

Andreas Korn serves as Senior Lecturer/Associate Professor at Uppsala University's Department of Physics and Astronomy, specializing in Astronomy and Space Physics. His research focuses on stellar spectroscopy and Galactic archaeology, studying stars like the Sun (~6000 K) to decipher the origin and evolution of chemical elements and the Milky Way Galaxy. Dr. Korn's primary research interests include stellar evolution, chemical abundances in stars, and the formation history of the Milky Way. His work combines observational astronomy with theoretical modeling to unravel complex galactic processes. He has made significant contributions to understanding stellar lithium depletion and chemical evolution of the Milky Way, with discoveries including the (then) most pristine star in the Milky Way (Christlieb et al. 2002) and a stellar solution to the cosmological lithium problem (Korn et al. 2006). His recent publications demonstrate a strong focus on Galactic archaeology, stellar evolution, and instrumentation development. Key themes include chemical abundance analysis of stellar populations, asteroseismology of metal-poor stars, and the development of next-generation spectroscopic instruments like ANDES for the Extremely Large Telescope. His work spans observational data from major surveys including Gaia, Gaia-ESO, and upcoming 4MOST instrumentation. Dr. Korn has secured over 20 million SEK in principal investigator funding for his research group and serves as Co-Investigator on a Wallenberg grant totaling 34 MSEK. He actively supervises students including PhD candidate Bea Villarroel, whose work received significant recognition in Nature Physics. Dr. Korn is deeply committed to public outreach, with his work featured in SVT Rapport and Swedish Radio P3. He has given public lectures on astronomy topics including presentations aboard a Finland ferry as part of SciCruise and astronomical introductions to cultural events like Radiokören concerts in Stockholm.

• Astroparticle Physics
• Cosmic Neutrinos
• Multi-messenger Astronomy
• +۴ مورد دیگر

Olga Botner is a Professor at the Department of Physics and Astronomy, specifically in the High Energy Physics division, at Uppsala University. Her research focuses on astroparticle physics, with particular emphasis on the exploration of the Universe through cosmic neutrinos, which are considered ideal astrophysical messengers due to their ability to travel unaffected by magnetic fields and unhindered by matter and radiation. She is an active member of the IceCube Collaboration, which operates the world's largest neutrino telescope, the IceCube Observatory located at the South Pole. Professor Botner's research interests center around astroparticle physics, particularly the exploration of the Universe with cosmic neutrinos that may have been created in the environments of black holes. Her work is crucial for multi-messenger astronomy, which combines observations of different cosmic messengers like photons, cosmic rays, gravitational waves, and neutrinos to gain a comprehensive understanding of astrophysical phenomena. Her research spans neutrino astronomy, dark matter detection, cosmic ray physics, and the development of advanced analysis techniques including machine learning applications in neutrino data analysis. The recent publications by Professor Botner demonstrate a strong focus on neutrino physics and astroparticle research. Her work spans multiple areas including neutrino oscillation studies, dark matter searches, cosmic ray anisotropy, multi-messenger astronomy, and the development of advanced instrumentation like the Radio Neutrino Observatory in Greenland (RNO-G). A significant portion of her recent work involves the application of machine learning techniques to neutrino data analysis, particularly convolutional neural networks for atmospheric neutrino oscillation parameter measurements. Her research also explores fundamental physics questions related to sterile neutrinos and potential beyond Standard Model physics. As a key member of the IceCube Collaboration, Professor Botner contributes to one of the most significant neutrino observatories in the world, located at the South Pole. This international collaboration involves researchers from numerous institutions worldwide working together to detect and study high-energy neutrinos from cosmic sources. Her work connects fundamental particle physics with astrophysical observations, bridging the gap between these two fields to address some of the most profound questions about our Universe.