جست‌وجوی استاد و پژوهشگر

Carlee A. Bishopمشاهده پروفایل

استاد

• Systems Engineering
• Experiential Learning
• Problem-Based Learning
• +۷ مورد دیگر

Carlee A. Bishop is a Professor of Physics at Agnes Scott College, located in the Department of Physics within the College of Arts and Sciences. She holds a PhD in Electrical Engineering from Auburn University, an MS from Georgia Institute of Technology, and a BS from the U.S. Air Force Academy. Her academic and professional work bridges physics, engineering, and systems thinking. Her educational background includes: BS in Electrical Engineering, U.S. Air Force Academy MS in Electrical Engineering, Georgia Institute of Technology PhD in Electrical Engineering, Auburn University Dr. Bishop's research and teaching focus on experiential learning in STEM, employing case studies, problem-based learning, and experimentation platforms. Her interests include systems thinking, ethical use of technology and data, and managing emerging technologies. She emphasizes decision-making and problem-solving skills in engineering education. The recent publications reflect a strong trend in systems engineering applied to defense, disaster response, and acquisition systems. Her work integrates modeling, simulation, and lifecycle management, with applications in military robotics, humanitarian logistics, and procurement optimization. The interdisciplinary nature of her scholarship connects engineering, ethics, and real-world operational challenges. Her professional affiliations include: INCOSE (International Council on Systems Engineering) Member Certified Systems Engineering Professional (CSEP) IEEE (Institute of Electrical and Electronics Engineers) Member Dr. Bishop has contributed to significant tutorials and workshops at INCOSE symposia and military capstone events. She has advised on systems engineering best practices, autonomy in defense robotics, and disaster response logistics. While no formal list of advisees is provided, her leadership in capstone projects and professional tutorials indicates active mentorship and educational outreach. She has not received any explicitly mentioned scientific awards. She is involved in academic and professional teams related to systems engineering, particularly through INCOSE and IEEE. Her work with military and disaster response systems suggests collaboration with interdisciplinary teams focused on national security and humanitarian applications.

Pierre Bellecمشاهده پروفایل

دانشیار

• High dimensional statistics
• Aggregation of estimators
• Shape constrained problems in statistics
• +۴ مورد دیگر

Pierre Bellec is an Associate Professor in the Department of Statistics at Rutgers University, where he has been a faculty member since 2016 and was promoted to Associate Professor with tenure in 2021. His office is located in Hill Center 406 at 110 Frelinghuysen Road, Piscataway, NJ 08854. Dr. Bellec received his PhD from ENSAE ParisTech, France in 2016 under the supervision of Alexandre Tsybakov. Prior to that, he completed a Part III (MASt) at the University of Cambridge, UK in 2012 and earned his Diplôme d'Ingénieur from Ecole Polytechnique, France in 2011. Dr. Bellec's research focuses on high-dimensional statistics, aggregation of estimators, shape constrained problems in statistics, and probability theory. His work has significant implications for machine learning and statistical inference in high-dimensional settings. He has made important contributions to regularization methods, M-estimators, and uncertainty quantification in complex statistical models. His recent publications show a strong focus on asymptotic theory, robust statistics, and high-dimensional inference, with novel methods for error estimation, adaptive tuning, and bias correction in regularized estimators. Dr. Bellec has received several prestigious awards and honors, including: IMS Fellow (2023) NSF CAREER award DMS 1945428: "Post-Differentiation Inference" (2020-2024, $400,000) NSF award DMS 2413679: "Uncertainty quantification for iterative algorithms" (2024-2027, $225,000) NSF award DMS 1811976: "Uncertainty Quantification in High-Dimensional Structured Regression Problems" (2018-2022, $180,000) Blaise Pascal PhD Award (2017) Dr. Bellec has advised several graduate students, including Takuya Koriyama (now at Chicago Booth), Yiwei Shen (now at Meta/Facebook), and Kai Tan (current PhD student). He has also mentored numerous undergraduate students through REU programs. He serves as an Associate Editor for the Annals of Statistics and has been involved in program committees for major conferences including the Conference on Learning Theory (COLT) and the Conference on Neural Information Processing Systems (NeurIPS).

• Experimental Design
• Statistical Modeling
• Computer Experiments
• +۳ مورد دیگر

Ying Hung is a Professor in the Department of Statistics at the School of Arts and Sciences, Rutgers, The State University of New Jersey. Her office is located at Hill Center 463, 110 Frelinghuysen Road, Piscataway, NJ 08854. She can be reached via email at yhung@stat.rutgers.edu . Education: Ph.D., Georgia Institute of Technology Her research focuses on experimental design, statistical modeling for computer experiments, and uncertainty quantification, with applications in science and engineering. These areas are central to modern statistical methodology, especially in simulation-based scientific inquiry and complex system analysis. No recent articles were listed in the provided text, so no trend analysis can be performed. Scientific Awards: There is no public information in the provided texts regarding student advising, grants, or funded projects. Similarly, there are no mentions of leadership in labs or research teams, suggesting that such details may not be publicly disclosed or are integrated within departmental structures.

Rick Dobrowskyمشاهده پروفایل

استاد

• Diabetic Neuropathy
• Molecular Chaperones
• Neurotrophin Signaling
• +۳ مورد دیگر

Rick Dobrowsky is a Professor and Director of the Graduate Program in Neuroscience at the University of Kansas School of Pharmacy , Department of Pharmacology & Toxicology. His research focuses on diabetic peripheral neuropathy, molecular chaperones, and sphingolipid signaling in neuronal degeneration. Location: Malott Hall, Room 5064, Lawrence, KS Contact: dobrowsky@ku.edu | 785-864-3531 Research Overview : The Dobrowsky Lab investigates how hyperglycemia alters neurotrophin signaling and mitochondrial proteomes in diabetic neuropathy. Key projects include: Hyperglycemia and IGF-1 signaling effects on superoxide generation Neuregulinism's role in segmental demyelination Development of HSP90 inhibitors for neuroprotection Publications (15 Most Recent): 2025: PERK signaling and Cemdomespib therapy in Charcot-Marie-Tooth disease 2024: Demyelination progression in R75W-Connexin 32 models 2023: Biphenyl amides as HSP90/HSP70 modulators 2022: Cyclohexyl noviomimetics and mitochondrial function 2021: HSP70/thioredoxin interactions in diabetic neurons 2020: HSP90 inhibition and c-Jun proteasomal clearance 2019: Mitochondrial superoxide reduction with KU-596 2018: HSP70 targeting for demyelination 2016: Cemdomespib and neurotrophin receptor dynamics 2015: Molecular chaperones and mitochondrial bioenergetics 2014: KU-32 and heat shock protein mechanisms 2013: Neuregulin-1 isoforms in diabetic neuropathy 2012: C-terminal HSP90 inhibitors in sensory neuron protection 2011: Mitochondrial proteome changes in diabetes 2010: P35/CDK5 in beta-amyloid toxicity

Kathryn Nowotnyمشاهده پروفایل

دانشیار

• Public Health
• Mass Incarceration
• Criminology
• +۶ مورد دیگر

Kathryn Nowotny is an Associate Professor in the Department of Sociology at the University of Miami, College of Arts and Sciences. Her work focuses on the intersection of public health and mass incarceration, particularly addressing health inequities among criminal legal-involved populations. Current faculty at University of Miami Director of Miami Health and Justice Lab Research centers on carceral systems and health outcomes Her research examines HIV prevention, reproductive justice, maternal health disparities, and trauma-informed interventions in carceral settings. She collaborates with interdisciplinary teams to implement community-engaged strategies. Recent publications highlight her work on peer-led programs in jails, structural barriers to healthcare during reentry, and the impact of mass incarceration on birth outcomes. Her lab's interventions in Mexico City use projection mapping for harm reduction education. Notable methodologies include community-based participatory research, ecological modeling, and flexible diary-interview approaches. She advocates for policy reforms to address systemic inequities linked to incarceration.

Tieyuan Zhuمشاهده پروفایل

دانشیار

• Near-Surface Seismology
• Fiber Optics Seismology
• Wave Physics
• +۷ مورد دیگر

Tieyuan Zhu is an Associate Professor in the Department of Geosciences at Pennsylvania State University, where he leads the Environmental Geophysics Group (EGG). His work focuses on advancing geophysical data resolution through seismic and ground-penetrating radar (GPR) methods to address environmental and energy challenges such as geohazards and CO2 sequestration. Research interests include: Near-surface and critical zone seismology Fiber optics seismology Wave physics (seismic, GPR) CO2 sequestration and geothermal exploration Permafrost degradation monitoring Martian subsurface water detection Recent publications emphasize distributed acoustic sensing (DAS), full-waveform inversion, and machine learning applications for subsurface imaging. His projects span urban geohazard monitoring, Arctic permafrost studies, and planetary geophysics. Scientific awards include the Karcher Award (2018) from the Society of Exploration Geophysicists. Collaborative efforts with institutions like NASA, NSF, and CMU highlight his impact on environmental hazard studies and carbon capture research.

• Consumer Behavior
• Consumer Psychology
• Brand Management
• +۴ مورد دیگر

Lien-Ti Bei is a Distinguished Professor in the Department of Business Administration at National Chengchi University's College of Commerce in Taipei, Taiwan. She also serves as Chairman of the Center for Public and Business Administration Education. With over 25 years of academic experience, Professor Bei has established herself as a leading scholar in consumer behavior and marketing research in Taiwan and Asia. Her research interests span Consumer Behavior, Consumer Psychology, Brand Management, and Marketing Research, with recent work focusing on ESG implementation, consumer neuroscience applications in marketing, and sustainable business practices. Professor Bei's work bridges theoretical marketing concepts with practical business applications, particularly in the Asian context. Her publication record shows consistent productivity with over 50 journal articles in SSCI/TSSCI-indexed journals since 1995, including recent publications in Journal of Engineering and Technology Management, Journal of Product & Brand Management, and Harvard Business Review Chinese Edition. Her research demonstrates an evolution from traditional brand extension and consumer behavior topics toward contemporary issues like ESG, AI-human interaction, and sustainable marketing practices. Distinguished Professor at National Chengchi University (multiple years) Asia's Top 100 Marketing Scholars (2017) Chungni Outstanding Teaching Award Multiple Research Awards from Taiwan's National Science and Technology Council Management Journal Paper Award Professor Bei has successfully secured numerous research grants, primarily from Taiwan's National Science and Technology Council, with current projects extending through 2026. Her active role as Principal Investigator on multiple grants demonstrates ongoing research productivity. She serves as Editor for Management Review and has contributed to special issues on sustainable development and consumer behavior trends.

• Volunteered Geographic Information (VGI)
• OpenStreetMap
• Spatial Data Analysis
• +۳ مورد دیگر

Peter Mooney is a Lecturer in the Department of Computer Science, Faculty of Science & Engineering at Maynooth University. His research focuses on Volunteered Geographic Information (VGI), OpenStreetMap, spatial data analysis, and geospatial data integration in applications such as environmental monitoring and pervasive health systems. Institution: Maynooth University School: Faculty of Science & Engineering Department: Computer Science Role: Lecturer Mooney's research explores the use of crowdsourced geospatial data, particularly through OpenStreetMap, analyzing data quality, community roles, and integration into location-based services. His work bridges technical analysis with policy considerations in geospatial data management. Recent publications highlight his contributions to understanding spatial data dynamics, including attribute changes in OpenStreetMap, characteristics of edited objects, and applications of VGI in environmental systems. He also investigates the intersection of haptics and GIS for novel interaction methods. Contact: peter.mooney@mu.ie

Fabiano Pallonettoمشاهده پروفایل

استاد

• Smart Grids
• Sustainable Mobility
• Energy Systems Optimization
• +۳ مورد دیگر

Fabiano Pallonetto is a Professor at Maynooth University's School of Business, with affiliations to the Hamilton Institute and Innovation Value Institute (IVI). He combines academic research with industry experience in energy, IT, and transport sectors. Role: Professor Location: Room 314, Maynooth University Contact: Fabiano.Pallonetto@mu.ie His research focuses on smart grid integration, energy system optimization, and sustainable development. Key projects include: NexSys (Funded Investigator): Developing net-zero energy pathways FLOW (Principal Investigator): Flexible EV-grid integration RES4CITY (Coordinator): Workforce upskilling for renewables Recent publications analyze energy flexibility software, deep learning optimization models, phase change materials for thermal storage, and blockchain security frameworks. His work spans smart cities , renewable integration , and AI-driven energy systems . Student Supervision: Currently advising MR B. Mohseni-Gharyehsafa (PhD research).

• Atmospheric aerosol physical and chemical processes
• Aerosol nucleation
• Aerosol measurement and characterization techniques
• +۲ مورد دیگر

Chongai Kuang is an Assistant Scientist in the Atmospheric Sciences Division at Brookhaven National Laboratory, currently serving in the Environmental Science and Technologies Department. His research focuses on atmospheric aerosol physical and chemical processes, with particular expertise in aerosol nucleation and instrumentation development for detecting sub-1 nm particles. Education: Ph.D. in Chemical Engineering (major) & Nanoparticle Science and Technology (minor) - University of Minnesota, Minneapolis B.S. in Chemical Engineering (major) & Chemistry (major) - University of California, Berkeley Research Interests: Dr. Kuang's work is broadly bounded by the study of atmospheric aerosol physical and chemical processes, with specific focus on aerosol nucleation mechanisms and the development of advanced instrumentation capable of detecting newly formed particles down to below 1 nm. His current scientific efforts concentrate on developing microphysical-based parameterizations for aerosol nucleation and initial growth processes, integrating findings from intensive field campaigns and controlled laboratory experiments into large-scale atmospheric models. Research Methodology: His approach combines extensive field campaign participation with sophisticated laboratory experiments, utilizing state-of-the-art instrumentation to characterize aerosol properties across diverse environments including marine boundary layers, Amazon rainforest, Antarctic regions, and urban atmospheres. Scientific Recognition: 2012: American Association for Aerosol Research (AAAR) Sheldon K. Friedlander Award - recognizing outstanding contributions to aerosol science and technology Professional Service: Dr. Kuang actively contributes to the scientific community through various roles including proposal review for the German Science Ministry, journal review for Atmospheric Chemistry & Physics, membership in the Young Investigators Committee for AAAR, and co-leadership of the New Particle Formation Focus Group in the ASR Aerosol Life Cycle Working Group. He holds memberships in the American Geophysical Union, American Association for Aerosol Research, and American Institute of Chemical Engineers. Laboratory and Facilities: Dr. Kuang is based at Brookhaven National Laboratory's Environmental Science and Technologies Department, located in Building 815E, Room 1-45, where he conducts his cutting-edge research in atmospheric aerosol science.

Kobus Barnardمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Scientific Applications
• +۳ مورد دیگر

Kobus Barnard is a Professor in the Department of Computer Science at the University of Arizona, with his office located in GS 708. His research bridges computer vision, machine learning, and interdisciplinary scientific applications across diverse domains. Education: Ph.D. from Simon Fraser University (1999) His research interests focus on extracting meaningful insights from complex data through computer vision and probabilistic modeling. Key areas include machine learning for environmental monitoring (flood detection, plant disease analysis), social dynamics (interpersonal coordination, emotional coregulation), astronomy (transient classification), and multimodal learning (visual-linguistic integration). His work consistently applies deep learning to real-world problems requiring high-resolution data interpretation. Analysis of his 2022-2025 publications reveals three dominant trends: (1) Environmental applications using satellite imagery for flood mapping and agricultural monitoring, (2) Cognitive modeling of human teams and emotional dynamics through probabilistic frameworks, and (3) Astronomical data analysis leveraging host galaxy properties for transient classification. These threads demonstrate his commitment to solving practical scientific challenges through computational innovation. While scientific awards aren't documented in available sources, his leadership in projects like FloodPlanet and ToMCAT indicates significant contributions to data infrastructure. His advising and grant activities remain unreported in the source material, though his extensive interdisciplinary collaborations suggest substantial mentorship impact. Barnard's work operates at the intersection of multiple scientific communities, evidenced by applications spanning neuroscience, agriculture, astronomy, and social science. His current focus on high-resolution data fusion and multimodal modeling positions him at the forefront of real-world AI deployment.

Scott Anthony Sissonمشاهده پروفایل

استاد

• Computational Statistics
• Bayesian Statistics
• Statistical Extreme Value Theory
• +۳ مورد دیگر

Professor Scott Anthony Sisson is a leading academic at the University of New South Wales (UNSW) , holding the position of Professor of Statistics and Data Science in the School of Mathematics and Statistics . He serves as Director of the UNSW Data Science Hub (uDASH) and Deputy Director of the UNSW AI Institute (UNSW.ai) . Previously, he was Deputy Director of the Australian Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) and held leadership roles in the Australasian Society of Bayesian Analysis and Statistical Society of Australia . PhD in Statistics (Bristol University, 2002) MSc in Environmental Statistics and Systems (Lancaster University, 1997) BSc in Mathematics and Statistics (Lancaster University, 1996) His research focuses on computational statistics and Bayesian inference , with expertise in machine learning , extreme value theory , and high-dimensional data analysis . He develops simulation-based algorithms for complex statistical problems and applies these to diverse scientific challenges like seagrass decline, urban flood modeling, and drug delivery systems. His recent work spans quantum computing for statistics, graphon modeling, and synthetic likelihood methods. Scientific awards include: 2024 Fellow of the International Society of Bayesian Analysis 2023 Fellow of the Institute of Mathematical Statistics 2017 ARC Future Fellowship 2010 Queen Elizabeth II Research Fellowship 2006 John Yu Fellowship His advising team has mentored students in statistical modeling, Bayesian computation, and applied data science. Grants from the Australian Research Council and industry collaborations support his research in government and scientific applications. He contributes as Associate Editor for Journal of Computational and Graphical Statistics and Statistics and Computing .

• Communications Theory
• Wireless Communications
• Information Theory
• +۱ مورد دیگر

Dr. Ajit Kumar Chaturvedi is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Communications Theory and Systems. With decades of experience at IIT Kanpur, he has established himself as a leading researcher and educator in wireless communications and information theory. Dr. Chaturvedi earned his B.Tech (1986), M.Tech (1988), and PhD (1995) all in Electrical Engineering from IIT Kanpur, demonstrating his deep institutional commitment. His educational background reflects his dedication to academic excellence at his alma mater. His research focuses on Communications Theory and Systems, with specific expertise in Wireless Communications, Information Theory, and Spread Spectrum Systems. Dr. Chaturvedi's work bridges theoretical foundations with practical applications in modern communication technologies. His contributions have significantly advanced the understanding of signal processing techniques, multiuser detection methods, and error analysis in wireless systems. His research has direct implications for improving the reliability and efficiency of contemporary wireless communication standards. Dr. Chaturvedi's publication record demonstrates consistent contributions to communications engineering, spanning from fundamental signal processing techniques to complex system-level analyses. His work on ISI mitigation, orthogonal sequence design, and error rate analysis shows both theoretical rigor and practical relevance for real-world communication challenges. Distinguished Teacher award of IIT Kanpur (2007) Tan Chin Tuan Fellowship of NTU, Singapore (2008) Supervisor of Best B. Tech Project groups (2002, 2006, 2012) Plenary speaker at the 15th National Conference on Communications (2009) Mentor of IEEE Computer Society International Design Contest winning team (2002) As an educator, Dr. Chaturvedi has supervised numerous award-winning student projects, including three Best B.Tech Project awards. He has mentored teams to international recognition, such as the Microsoft Award for Innovation at the IEEE Computer Society International Design Contest World Finals in 2002. His office is located in ACES 201B at IIT Kanpur, where he continues to contribute to the academic and research mission of the institution.

Markus Jänttiمشاهده پروفایل

استاد

• Income Distribution
• Wealth Distribution
• Poverty
• +۴ مورد دیگر

Markus Jäntti serves as Professor at Stockholm University's Institute for Social Research (SOFI), where his research centers on income and wealth distribution, poverty dynamics, and socio-economic mobility through comparative international lenses. He specializes in quantifying family background's influence on economic outcomes and leads pivotal projects including MapIneq (life-course inequality trends), PrecaNord (Nordic precarious work analysis), and TITA (austerity-era inequality assessment). His research portfolio spans income distribution , wealth inequality , intergenerational mobility , and comparative social policy , employing advanced econometric techniques and cross-national datasets like the Luxembourg Income Study. Work within SOFI's Labor Market Economics (AME) group extends to education, health, taxation, and gender equality, reflecting labor economics' interdisciplinary nature. Analysis of his 2020-2025 publications reveals dual emphases: methodological innovation (e.g., grouped-data inequality measurement) and empirical exploration of family-background effects, labor policies, and social transfers. His influential 2020 framework synthesizing four mobility approaches underscores conceptual rigor, while recent Nordic-focused studies address contemporary challenges like migrant labor exploitation. Scientific awards: No awards were documented in source materials. Major grant-funded projects include: MapIneq : Tracking intergenerational, educational, labor market, and health inequality drivers across lifespans PrecaNord : Multi-level analysis of precarious/informal work in Finland, Norway, and Sweden TITA : Consortium study of austerity's impacts on financial, health, and opportunity inequalities As core faculty in SOFI's AME group, he contributes to research spanning labor market outcomes (wages, employment), social transfers, crime, and political economy—operating within Stockholm University's broader social policy ecosystem while maintaining independent research leadership.

• Derivatives pricing
• quantitative mathematical finance
• quantitative finance
• +۵ مورد دیگر

Mia Hinnerich is a Senior Lecturer at Stockholm Business School, Stockholm University, where she has been employed since fall 2012. She holds a PhD in Finance from Stockholm School of Economics and has previously served on the faculty of the School of Economics and Business at Aarhus University. Hinnerich's primary research focuses on quantitative finance, with specialization in derivatives pricing, interest rate theory, and portfolio selection theory. Her work has been presented at international conferences including the Bachelier Finance Society Congress and published in peer-reviewed journals such as the Journal of Banking and Finance. She has extensive teaching experience across multiple institutions including ETH Zurich, Aarhus University, and Stockholm Business School. Her teaching portfolio spans PhD, MBA, MSc, and BSc courses covering Derivatives Pricing, Risk Management, Interest Rate Theory, Credit Risk Models, Optimal Portfolio Strategies, and Introductory Finance. Her workplace is located at Albano, hus 2 plan 5, Stockholm, with contact information available through her university email and phone number.