جست‌وجوی استاد و پژوهشگر

• Anxiety Disorders
• Attention Deficit Hyperactivity Disorder (ADHD)
• Child and Adolescent Psychiatry
• +۷ مورد دیگر

J. Stuart Ablon is a renowned clinical psychologist and researcher affiliated with Massachusetts General Hospital and Harvard Medical School . He serves as the Founder and Director of Think:Kids , a program dedicated to addressing challenging behaviors in youth through the Collaborative Problem Solving (CPS) approach. Dr. Ablon holds the Thomas G. Stemberg Endowed Chair in Child and Adolescent Psychiatry at Harvard Medical School, where he works part-time as an Associate Professor of Psychology. Education: Ph.D. in Clinical Psychology from the University of California, Berkeley (2006) Dr. Ablon’s research focuses on disruptive behavior disorders in children and adolescents, including attention deficit hyperactivity disorder (ADHD) , oppositional defiant disorder (ODD) , and intermittent explosive disorder (IED) . His work emphasizes collaborative problem solving as a non-punitive, non-adversarial strategy for managing challenging behaviors. Key areas of interest include behavior therapy , cognitive therapy , parenting interventions , and implementing evidence-based practices across educational and clinical systems. Recent publications highlight trends in Collaborative Problem Solving , including its application in outpatient settings , parent training programs , and implementation fidelity across schools and clinical agencies. His research explores mechanisms of change, cost-saving outcomes, and the relationship between executive functions and behavioral difficulties. Dr. Ablon’s lab, the MGH Laboratory for Youth Behavior , collaborates globally with organizations implementing CPS. Core team members include Drs. Alisha Pollastri , Lu Wang , and Grace Albright , while affiliated alumni like Sammy Stoll contribute to ongoing projects.

Aleksandar Mijatovicمشاهده پروفایل

استاد

• Probability
• Stochastic Processes
• Mathematical Finance
• +۵ مورد دیگر

Aleksandar Mijatović is a Professor of Probability at the Department of Statistics, University of Warwick, and Deputy Head of Department for Research. He was previously Chair in Probability at King's College London and Reader in Probability at Imperial College London. His research focuses on probability theory, stochastic processes, mathematical finance, numerical stochastics, and data science. He holds a Ph.D. in low-dimensional topology from Trinity College Cambridge and worked as a quantitative analyst in foreign exchange derivatives before academia. Research interests include stochastic analysis of processes with jumps, simulation methods (e.g., Monte Carlo), stochastic control, and applications in finance. He is a Fellow of the Alan Turing Institute and maintains a YouTube channel, Prob-AM, explaining his research. His work often bridges theoretical probability with practical applications in finance and data science. Key publications explore topics like reflected Brownian motion, Lévy processes, branching processes, and stochastic gradient descent. Collaborations with institutions like King’s College London and Imperial College London highlight his academic networks. His contributions span theoretical advancements and computational methodologies, with applications in risk management, option pricing, and algorithm development.

• Excavation Engineering
• Rock Blasting and Demolition
• Geotechnical Engineering
• +۱۲ مورد دیگر

Marilena Cardu is an Associate Professor in the Department of Environmental, Land, and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin. She is actively involved in teaching, research, and supervision within the fields of excavation engineering, rock blasting, tunneling, and sustainable mining. She serves as a course instructor for key programs including Civil and Environmental Engineering and Georesources and Geoenergy Engineering. Academic Rank: Associate Professor Institution: Polytechnic University of Turin Department: DIATI (Environmental, Land, and Infrastructure Engineering) Email: marilena.cardu@polito.it Her research interests center on excavation engineering and safety, with strong interdisciplinary engagement in geotechnics, environmental engineering, and mineral resource management. She specializes in rock blasting, demolition techniques, TBM (Tunnel Boring Machine) performance, and mining safety. Her work aligns with UN SDGs such as Industry and Innovation, Sustainable Cities, and Responsible Production. The recent publications reflect a strong trend in tunneling technology, rock fragmentation, blast safety, and sustainable resource development. Her work combines experimental, numerical, and field-based approaches, often applied to real-world industrial and infrastructure challenges. Scientific Projects and Responsibilities: Scientific Director for collaborative research in excavation engineering (2023–2026) Scientific Manager for gas network compliance testing (2022–2025) Lead on multiple commercial consultancy projects in rock characterization, blast design, and vibration monitoring She supervises PhD students such as Nestor David Mejia Almeida and Oveis Farzay, focusing on TBM modeling and geomechanics. She is a key member of the Geomechanics and Geotechnologies Laboratory at DIATI, contributing to both academic and applied research in underground construction and mining safety.

Ji Hyung Leeمشاهده پروفایل

استاد

• Econometric Theory and Applications
• Time Series and Financial Econometrics
• Probability and Statistics
• +۳ مورد دیگر

Ji Hyung Lee is a Professor of Economics at the University of Illinois Urbana Champaign, with a courtesy appointment in the Department of Finance at Gies College of Business. His research focuses on econometric theory, time series analysis, financial econometrics, and machine learning applications in economics. He holds a Ph.D. in Economics from Yale University (2013) and a B.A. in Economics from Seoul National University (2005). His research interests include developing robust econometric methods for high-dimensional data, quantile regression techniques, and applications to macroeconomic policy and financial risk analysis. Notable contributions include work on predictive quantile regression, nonparametric density estimation, and modeling household inflation expectations. His recent articles explore topics such as machine-learning approaches to growth risk, quantile impulse responses for value-at-risk dynamics, and parameter-free methods for density estimation. Lee’s work emphasizes methodological innovation and practical relevance in policy contexts. He has held positions at multiple institutions and maintains affiliations with the Midwest Econometrics Group. His research has been published in top journals like Journal of Econometrics and Econometric Theory .

Arturo S. Leonمشاهده پروفایل

دانشیار

• Water Resources Engineering
• Reservoir Systems Optimization
• Multi-phase Flows
• +۵ مورد دیگر

Arturo S. Leon is an Associate Professor at the Department of Civil and Environmental Engineering, Florida International University (FIU). His work focuses on water resources engineering, reservoir optimization, multi-phase flows, and resilient flood control. He leads a research group developing innovative solutions for urban infrastructure challenges, including real-time control systems for reservoirs and stormwater management. Education: Ph.D., University of Illinois at Urbana-Champaign, 2007. Research Interests: Dr. Leon’s group pioneers computational models for hydraulic systems, such as the Illinois Transient Model. They investigate geysers in storm sewers via experimental and numerical methods, achieving landmark results with lab-replicated 30m geysers. Their work also includes IoT-enabled remote control of wetland storage systems for flood mitigation, as seen in the Automated and Remotely Controlled 6″ Siphon project. They integrate machine learning for flood forecasting and sewer overflow optimization, highlighted in frameworks like FIDLAR and EcoFLow. Awards: EPA Early CAREER Award Diplomate by the American Academy of Water Resources Engineers (D.WRE) Advancing Flood Resilience: His group’s dynamic storage management approach retrofits wetlands and detention ponds with IoT-controlled systems. They also study climate-driven urban hydrology, such as thermal comfort in tropical cities like Miami. Their patented technologies, including remote siphon control frameworks, enhance infrastructure adaptability during extreme weather events. Labs & Projects: Active in the Resilient MAST@FIU initiative and the EcoFlow project, focusing on green infrastructure for sustainable water use. Ongoing work includes AI-driven flood hazard mapping and exergo-economic optimization of energy systems.

• Environmental Microbiology
• Wastewater-Based Epidemiology
• Antimicrobial Resistance
• +۸ مورد دیگر

Jennifer Weidhaas is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Utah since 2016. She holds a PhD and MS in Civil and Environmental Engineering from the University of California-Davis, and a BS in Civil Engineering from Montana State University. A registered Professional Engineer, her research spans environmental microbiology, wastewater epidemiology, and sustainable water treatment technologies. Education: BS, Civil Engineering, Montana State University (1999) MS, Civil and Environmental Engineering, UC Davis (2002) PhD, Civil and Environmental Engineering, UC Davis (2006) Her research focuses on environmental microbiology , quantitative microbial risk assessment , and water treatment innovations , particularly for munition compounds and PFAS. She leads the E-Sure Research Lab, integrating biotechnology with civil engineering to address challenges in wastewater reuse, biosolid application, and contaminant fate. Her work on ion exchange systems and nanofiltration models has advanced sustainable treatment train design. Key findings from her publications include: Optimized ion exchange systems for NTO removal with 99% efficiency NSF CAREER-funded wastewater surveillance models for pathogen tracking Life cycle assessments showing 22% lower environmental impact with IX-AGR-ozone configurations Development of microbial degradation pathways for insensitive munition compounds Scientific recognition includes: Outstanding Mentor (2018, University of Utah) Multiple Teaching Excellence Awards (2015-2017) Best Paper Award (ASEE, 2017) NSF CAREER Award (2016) She actively engages in community outreach, training 80 K-12 teachers in engineering and organizing water quality testing events for Salt Lake City households. Her teaching portfolio includes graduate thesis supervision and undergraduate courses like Life Sciences in Engineering .

Christian Ludwigمشاهده پروفایل

استاد مدعو

• Solid Waste Treatment
• Nanoparticle Synthesis
• Bioenergy Technology
• +۳ مورد دیگر

Christian Ludwig is an Adjunct Professor at EPFL and head of the joint EPFL-PSI Professorship, leading the Chemical Processes and Materials (CPM) research group at the Paul Scherrer Institute. His work bridges sustainable resource management, waste treatment technologies, and nanomaterials development with applications in energy and environmental systems. Education: PhD in Inorganic, Analytical, and Physical Chemistry from University of Berne (1993) Master's degree from University of Berne (1990) Research interests focus on developing sustainable technologies for resource management. His group investigates thermal and aqueous waste treatment systems, bioenergy technologies, nanoparticle-based materials for clean technology applications, analytical methods for real-time environmental monitoring, and recycling strategies for minerals and rare earth elements. Recent work examines nucleation processes, trace element fate in bioenergy systems, and algal biomass applications. Publication trends show strong focus on sustainable materials processing, environmental nanotechnology, and waste valorization. Recent articles demonstrate innovative approaches to nanoparticle characterization, supercritical fluid applications, and resource recovery from complex waste streams. Scientific awards: No major awards documented in provided materials. Advising and lab leadership: Supervised 23 PhD students and leads the Ludwig Group (EPFL) and CPM group (PSI), focusing on sustainable energy carriers and processes. Research integrates synchrotron methods, nanoparticle synthesis, and environmental technology development.

Victoria C. Smithمشاهده پروفایل

استاد

• Tephrochronology
• Geochronology
• Volcanology
• +۳ مورد دیگر

Professor Victoria C. Smith is a leading volcanologist at the School of Archaeology, University of Oxford. Her research focuses on tephrochronology, using volcanic ash layers to date and correlate sedimentary and archaeological records. She manages Oxford's electron microprobe facilities and cryptotephra laboratory, supporting global research on explosive volcanism. Research Interests : Volcanology, tephrostratigraphy, magmatic processes, and paleoenvironmental reconstruction. Geographic Focus : Italy, Mexico, Japan, Azores, Canary Islands, Ethiopian Rift, Antarctica. Her recent publications highlight collaborations in geochronology, magma evolution modeling, and tephra applications in synchronizing climate-human records. She supervises MSc and doctoral students in Archaeological Science, focusing on volcanic ash as chronological tools.

• National Security
• Intelligence Analysis
• Law Enforcement
• +۷ مورد دیگر

Professor Nikolay Stefanov Radulov, DSc, serves as a faculty member in the Department of National and International Security at New Bulgarian University. With a distinguished career spanning over three decades in security-related fields, he brings extensive practical experience from Bulgaria's Ministry of Interior and other governmental security institutions to his academic role. Radulov holds a Doctor of Philosophy degree from the Rakovski National Defence Academy (1986-1992), where his dissertation focused on 'Management Culture.' His educational background also includes specialized training in computer sciences from the University of Architecture, Civil Engineering and Geodesy (1992), counter-terrorism courses from the US Institute for Transportation Security (1992), and democratic governance practices from the UK government's Know-How Fund (1998). His research interests center on national security frameworks, intelligence analysis methodologies, law enforcement challenges, and security policy implementation. Radulov has developed innovative approaches to intelligence resource management and security analysis, with particular emphasis on operational intelligence, counter-terrorism strategies, border security, and the epistemological foundations of intelligence work. His work consistently addresses the tension between security needs and civil liberties in democratic societies. Radulov's publications reveal a strong thematic focus on the practical challenges of security institutions, with recurring analysis of Bulgaria's Ministry of Interior (MVR) reforms, intelligence oversight mechanisms, and the implementation gap between security legislation and operational reality. His scholarly output demonstrates consistent concern with professionalizing security services while maintaining democratic accountability. As an educator, Radulov teaches advanced courses including Intelligence, Contemporary Issues in Intelligence, External Observation, Special Intelligence Resources, and Internship in Special Intelligence Means, preparing the next generation of security professionals with both theoretical knowledge and practical skills.

Monica Kohlerمشاهده پروفایل

استاد پژوهشی

• Earthquake Engineering
• Seismic Tomography
• Structural Health Monitoring
• +۵ مورد دیگر

Monica Kohler is a Research Professor in the Department of Mechanical and Civil Engineering at the California Institute of Technology (Caltech). She holds a B.A. from Harvard University (1988) and a Ph.D. from Caltech (1995). Prior to her current role, she served as an Assistant Research Engineer at UCLA (1998–2011), Visiting Associate at Caltech (2007–2011), and Research Assistant Professor (2011–2017). Her work focuses on earthquake engineering, seismic tomography, and structural health monitoring using advanced sensor technologies. Her research integrates observational seismology and engineering principles to detect damage in buildings and infrastructure through dense sensor networks like the Community Seismic Network (CSN). Projects include developing methods for damage identification using seismic data, tsunami early warning systems, and real-time monitoring of urban vibrations from human activity (e.g., concerts). Key areas of exploration include earthquake-induced building response, wave propagation analysis, and the application of Bayesian learning and Gaussian process regression for ground-motion modeling. She advises graduate students at UCLA in civil engineering and collaborates on interdisciplinary projects involving oceanography, structural dynamics, and computational modeling. Her contributions span over 150 publications, including studies on the 2019 Ridgecrest earthquakes, tsunami wavefront mapping, and high-rise structural identification. She also leads efforts to deploy seafloor sensors and improve early warning systems for natural disasters. Labs/Teams: Active in the Caltech CSN project, structural health monitoring initiatives, and tsunami hazard research groups. Her team includes researchers like Viviana Vela, Gloria Hyun, and Richard Guy.

Jihye Parkمشاهده پروفایل

دانشیار

• Remote Sensing
• Geodesy
• Geophysics
• +۳ مورد دیگر

Jihye Park is an Associate Professor in the Department of Civil and Construction Engineering at Oregon State University's College of Engineering. She specializes in GNSS (Global Navigation Satellite System) positioning/navigation and remote sensing applications, focusing on enhancing system performance in harsh environments and leveraging GNSS for atmospheric monitoring. Her research includes detecting ionospheric disturbances caused by earthquakes, volcanic eruptions, and artificial explosions, as well as developing algorithms for real-time anomaly detection and navigation system improvements. Dr. Park holds a Ph.D. in Geodetic Science and Surveying from The Ohio State University (2012), an M.S. in Geodetic Science and Surveying from the same institution (2010), and prior degrees in Geoinformatics from The University of Seoul (B.S. 2004, M.S. 2006). Her research interests span GNSS remote sensing applications such as monitoring ionospheric anomalies, hurricane-induced rainfall trajectories, and coastal hazards. She also explores GNSS-Reflectometry (GNSS-R) for sea level changes, storm surge monitoring, and climate-related phenomena. Her work emphasizes real-time data processing, machine learning integration, and interdisciplinary applications in disaster response and geophysical monitoring. Dr. Park has contributed to advancements in GNSS accuracy through projects like JPL's GUARDIAN system and studies on the Galileo High Accuracy Service. Her recent work highlights automated detection systems and deep learning approaches for TID (Traveling Ionospheric Disturbance) identification, reflecting her commitment to bridging geomatics with environmental and disaster resilience challenges.

• Environmental Engineering
• Water Quality Management
• Wastewater Treatment
• +۶ مورد دیگر

Matteo D'Alessio is an Assistant Professor of Civil Engineering at the University of Mississippi's School of Engineering. His research focuses on environmental engineering, water quality, and sustainable technologies. He holds a Ph.D. in Civil Engineering from the University of Hawaii at Manoa (2014). Education: Ph.D. Civil Engineering, University of Hawaii at Manoa (2014) Research Interests: Dr. D'Alessio specializes in wastewater treatment innovation, emerging contaminants, and community-driven water quality monitoring. His work integrates eco-friendly materials like 3D-printed clay bricks, graphene-coated sand, and vermifiltration systems to address water challenges. He emphasizes citizen science in underserved regions, bridging environmental science with public engagement. Article Trends: Recent studies (2021–2025) highlight advancements in sustainable technologies (e.g., 3D-printed bricks for wastewater treatment) and citizen science initiatives. Earlier work (2009–2015) explored contaminant transport in soils, groundwater protection, and explosive chemical fate in Hawaii. His research spans agricultural, urban, and rural water systems, with global applications in Nigeria, Nebraska, and Mississippi. Awards & Grants: No awards explicitly listed, though his innovative projects suggest potential grant-funded work. Advising & Teaching: No formal advisees listed, but contributes to STEM education through service-focused coursework and pandemic-era teaching innovations (e.g., integrating water quality projects into undergraduate curricula). Labs & Teams: Active in environmental engineering labs at the University of Mississippi, though specific lab names are not detailed in the text.

• Network Science
• Socio-economic Systems
• Dynamical Systems
• +۳ مورد دیگر

Prof. Dr. Jan Nagler is an Associate Professor of Computer Science at Frankfurt School of Finance & Management and Director of the Center for Human and Machine Intelligence since 2023. His career spans institutions like Boston University, Max-Planck-Institute for Dynamics and Self-Organization, and ETH Zurich. PhD in Dynamical Systems (Chaos in Astrophysics) Postdoctoral research: Networks, Econophysics, and Risk Modeling Research interests: Networked Stochastic Systems, Game Theory, Phase Transitions, Ethically Aligned AI His work bridges physics, biology, and socio-economic systems, focusing on explanatory and predictive modeling of real-world dynamics. Recent publications analyze network disruption , percolation universality , and contagion dynamics . He leads the Deep Dynamics Group , which explores ethical AI design and cross-disciplinary system dynamics in finance, ecology, and socio-technological systems.

Thomas Sheldrakeمشاهده پروفایل

استادیار

• Volcanology
• Geochemistry
• Geochronology
• +۳ مورد دیگر

Thomas Sheldrake is an SNSF Eccellenza Professorial Fellow (Assistant Professor) at the Department of Earth Sciences, University of Geneva. His research focuses on magmatic processes, volcanic systems, and geochronological methods with applications to understanding eruption dynamics and tectonic interactions. He specializes in integrating geochemical, petrological, and computational approaches to study magma evolution and volcanic hazards. Research interests include: Magmatic system evolution and eruption triggers Zircon-based geochronology and petrochronology Volcanic crystal records of magma storage and degassing Remote sensing of volcanic structures using micro-CT Statistical modeling of volcanic eruption data His work spans field-based studies in the Caribbean, Iceland, and Italy, alongside computational methods for mineral analysis. Notable contributions include linking sea-level changes to magmatic pulses during the Messinian crisis and developing zircon age spectra techniques for magma evolution quantification. His recent 2025 study on Caribbean coral porosity demonstrates interdisciplinary approaches bridging geology and environmental science. Scientific Awards: SNSF Eccellenza Professorial Fellowship Research collaborations involve institutions globally, with frequent co-authorship on topics ranging from Holuhraun eruption geochemistry to Saint Kitts volcanic stratigraphy. His work emphasizes bridging fundamental geoscience with applied volcanic hazard assessment.

• Seismology
• Earthquake Physics
• Induced Seismicity
• +۴ مورد دیگر

Alexandros Savvaidis is a Research Professor at the Bureau of Economic Geology, part of the Jackson School of Geosciences at The University of Texas at Austin. He serves as the Manager of the Texas Seismological Network (TexNet) and has over 30 years of experience in seismology and applied geophysics. His expertise spans earthquake physics, induced seismicity, engineering seismology, and geophysical data modeling. Savvaidis leads real-time seismic monitoring efforts across Texas, managing a network of 210 stations, and previously managed Greece's largest seismographic network. His research focuses on causal factors of induced seismicity linked to oil/gas operations, geothermal projects, and wastewater disposal, alongside developing machine learning tools for seismic data analysis. His technical work includes advanced inversion algorithms for crustal modeling using Texas Advanced Computing Center (TACC) resources, and he has pioneered methods like EQCCT for earthquake detection and phase picking. Savvaidis is also involved in disaster risk reduction initiatives and contributes to the Center for Collective Impact in Earthquake Science (C-CIES), emphasizing interdisciplinary approaches to earthquake science. Recent research trends highlight his focus on integrating AI into seismology, including earthquake forecasting datasets (AEFA), deep learning for seismic event classification, and real-time monitoring systems. His work bridges academic research with industrial applications, collaborating on projects funded by European and U.S. agencies. He advocates for improved seismic monitoring infrastructure in regions like New Jersey and Texas, emphasizing the need for precise data-driven strategies to address anthropogenic seismic hazards.