جست‌وجوی استاد و پژوهشگر

Marion Nachonمشاهده پروفایل

مدرس

• Planetary Geosciences
• Mars Rover Missions
• Space-Analog Robotic Missions
• +۴ مورد دیگر

Marion Nachon is an Associate Research Scientist and Lecturer in the Department of Geology and Geophysics at Texas A&M University. She specializes in Planetary Geosciences, focusing on Mars rover missions (Curiosity and Perseverance) and space-analog robotic fieldwork. Her research integrates remote sensing, geochemical analysis, and mission operations to study Martian geology, aqueous environments, and potential biosignatures. Education: Ph.D. (2016) in Earth and Planetary Sciences from Université de Nantes, France; M.Sc. (2012) from Université Paris Sud; B.Sc. (2010) from Université Nice Sophia Antipolis. Postdoctoral roles at Texas A&M University (2018–current) and University of California Davis (2016–2018). Her work emphasizes collaboration with NASA missions, including roles as a Participating Scientist for the Mars 2020 Perseverance mission and Science Collaborator for the MSL ChemCam and Mastcam teams. Key research interests include sedimentary processes, diagenetic sulfates, and aeolian systems in Martian contexts. Recent projects include leading the LASSIE legged rover initiative and PI roles on grants such as the Texas A&M Seed Grant on geobiological data analysis and NASA-funded studies on XRF biosignature screening. Her fieldwork spans Iceland, White Sands, and Mount Hood, simulating Mars exploration techniques. Publications focus on Martian mineralogy, rover data analysis, and Earth-Mars analog studies. She has advised students in geology and technology integration, and her grants span interdisciplinary collaborations in statistics, psychology, and cognitive sciences.

• Econometrics
• Applied Economics
• Transportation Policy
• +۵ مورد دیگر

Professor Luiz Lima is a Professor of Economics at the University of Tennessee, specializing in econometrics, applied economics, and transportation policy. His research focuses on transportation demand, child labor dynamics, trade integration effects, and textual data analysis in forecasting. He teaches courses such as International Economics (ECON 421), Time Series Econometrics (ECON 683), and Elements of Econometrics II (ECON 583). Lima has advised doctoral students including Abubakr Ziedan and Lucas Garcez, and has contributed to the development of the TextForecast R package for econometric applications. His recent work includes analyzing the impact of fare innovations on bus ridership and the effects of the Euro on bilateral trade. He actively serves on academic committees, including the PPPR review committee and the Journal of Business and Economic Statistics refereeing panel. His research has been funded by the CDC and involves collaborations with institutions like the University of Federal Paraíba in Brazil.

Rayssa Martinsمشاهده پروفایل

پژوهشگر

• Planetary Science
• Geochemistry
• Cosmochemistry
• +۳ مورد دیگر

Dr. Rayssa Martins is a Postdoctoral Research Associate in the Department of Earth Sciences at the University of Cambridge, funded by a Leverhulme Early Career Fellowship. Her research focuses on cosmochemistry, planetary formation, and the distribution of volatile elements in terrestrial planets. She employs high-precision isotope analysis and geochemical modeling to investigate the delivery of volatile-rich materials during the early Solar System. She holds a PhD from Imperial College London, where she studied volatile depletion and the origins of Earth and Martian volatiles using isotopes like Zn, Cd, and Te. Key research interests include planetary volatile origins, meteorite analysis, and isotopic tracing of Earth’s volatile inventory. Her current projects explore Earth’s volatile acquisition timing and planetary accretion processes. She is affiliated with the Bullard Laboratories at the University of Cambridge. Notable achievements include the Leverhulme Early Career Fellowship, supporting her work on planetary evolution. Her research bridges geochemistry and cosmochemistry, with publications spanning meteorite isotopic analysis, volatile element distribution, and early Solar System processes.

• Molecular Plant Pathology
• Fungicide Resistance
• Third-Generation DNA Sequencing
• +۵ مورد دیگر

Dr. Katherine Zulak is a Lecturer at Curtin University's School of Molecular and Life Sciences within the Faculty of Science and Engineering. Her research focuses on molecular plant pathology, particularly fungicide resistance in agricultural crops. She develops innovative tools using third-generation DNA sequencing (e.g., Oxford Nanopore) for real-time monitoring of pathogen resistance. Her work emphasizes barley phytopathogens like Pyrenophora teres and wheat stripe rust, with applications in sustainable agriculture and disease management. Her research also extends to plant-microbe interactions, including studies on aphid-legume interactions and conifer defense mechanisms. She has contributed to understanding terpenoid biosynthesis pathways in sandalwood and opium poppy, exploring metabolic reprogramming in elicitor-treated cultures. Her methodologies include proteomics, metabolomics, and next-generation sequencing technologies. Key Contributions: Development of portable DNA sequencing for field-based resistance monitoring Characterization of fungal secretomes and pathogen virulence factors Metagenomic analysis of crop microbiomes Integration of omics data for plant defense studies Dr. Zulak collaborates with industry partners to translate molecular insights into practical solutions for crop protection. Her work bridges fundamental research and agricultural applications, addressing global challenges in sustainable crop production.

Jordi Muria Gonzalezمشاهده پروفایل

پژوهشگر ارشد

• Dynamics of Fungicides in Plants
• Liquid Chromatography-Mass Spectrometry
• Fungal-Plant Interactions
• +۴ مورد دیگر

Dr. Jordi Muria Gonzalez is a Research Fellow at Curtin University, affiliated with the External Collaborative Research Centre for Crop Disease Management (CCDM) within the School of Molecular and Life Sciences (MLS), Faculty of Science and Engineering. His work focuses on fungicide dynamics in crops using advanced analytical techniques like liquid chromatography-mass spectrometry (LC-MS). Education: Began at Mexico's National Autonomous University (UNAM), then pursued master’s and PhD research in fungal genetics and secondary metabolites at the Australian National University (ANU). Transitioned from natural product chemistry to plant-fungal interactions, with recent emphasis on analytical chemistry applications in agrochemicals. Research Interests: Fungal-plant interactions, fungicide distribution in crops, secondary metabolite roles in plant pathogens, and improving crop disease management through chemical analysis. Specializes in barley and wheat pathogens like Pyrenophora teres and Parastagonospora nodorum . Publications Highlight: Over 15 peer-reviewed articles since 2008, with recent work analyzing fungicide resistance mechanisms, genetic diversity of pathogen isolates, and development of novel agrochemicals inspired by natural compounds. Labs/Teams: Active member of the CCDM research group since 2023, focusing on optimizing fungicide longevity and crop protection strategies through molecular and analytical approaches.

• Igneous Petrology
• Geochemistry
• Geophysics
• +۷ مورد دیگر

Sarah Lambart is an Associate Professor in the Department of Geology and Geophysics at the University of Utah, where she leads the MagMaX Lab. Her research focuses on igneous processes, mantle heterogeneity, and magma genesis using experimental and analytical techniques. Education: PhD in Petrology, Blaise Pascal University, France (2010) MS in Earth Sciences, Blaise Pascal University (2006) BS in Earth Sciences, Blaise Pascal University, France (2004) Research Interests: Sarah Lambart's research explores the composition and dynamics of Earth's mantle, particularly how heterogeneities influence basalt genesis. Her work integrates high-pressure experiments, geochemical modeling (e.g., Melt-PX), and isotopic analyses to understand magma formation and transport. She investigates pyroxenite melting, melt-rock interactions, and the geochemical signatures of recycled materials in the mantle. Her recent projects involve IODP Expeditions 396 and 402, focusing on magmatism during continental breakup and its climate implications. Publication Trends: Her recent articles (2021–2025) span planetary science (Mercury's mantle), deep Earth processes (mantle heterogeneity), and paleoclimate (PETM). They emphasize isotope geochemistry (B, Fe, U-series), experimental petrology, and numerical modeling. Key themes include recycled volatiles in the mantle, crustal anatexis during rifting, and melt transport dynamics. Scientific Awards and Funding: NSF MRI Grant (co-PI) NSF MG&G Grant NSF EAR Grant Geology and Geophysics Faculty Research Award (2024) University of Utah Graduate Research Fellowship (mentor) Multiple student fellowships and travel grants (WAGS, MSA, GSA, Chapman) Advising and Grants: She mentors numerous graduate and undergraduate students, many of whom have received prestigious awards. She has secured significant external funding, including from NSF and internal university programs, supporting lab development (e.g., Neoma MC-ICP-MS) and student research. She actively promotes student participation in conferences and field expeditions. Labs and Collaborations: She directs the MagMaX Lab at the University of Utah, which collaborates internationally with institutions such as Cardiff University, VU Amsterdam, CRPG (France), and UNIL (Switzerland). She is involved in major projects like IODP Expeditions and serves as a handling editor for Advances in Geochemistry and Cosmochemistry .

• Defects in semiconductors
• Carrier transport in semiconductors
• Semiconductor junctions
• +۵ مورد دیگر

Francis Chi Chung Ling serves as an Associate Professor in the Department of Physics within the Faculty of Science at The University of Hong Kong (HKU). His academic journey began at HKU where he earned his B.Sc., M.Phil., and Ph.D. degrees. He maintains professional affiliations as C.Phys., M.IEEE, and F.Inst.P., and conducts research at Room 417, Chong Yuet Ming Physics Building. Office: CYP 417 Contact: 3917 5248 / 2559 9152 Email: ccling@hku.hk ORCID: https://orcid.org/0000-0003-4757-1065 Professor Ling's research spans multiple critical areas in semiconductor physics and materials science. His primary focus centers on defect characterization and engineering in semiconductors, particularly examining how defects influence electrical, optical, and magnetic properties. His work with positron annihilation spectroscopy provides atomic-scale insights into vacancy defects, while his investigations into deep level transient spectroscopy and carrier transport mechanisms advance fundamental understanding of semiconductor behavior. His laboratory maintains international collaboration with the positron beam line at Helmoltz Zentrum Dresden Rossendorf in Germany. Analysis of his 207 publications reveals a strong concentration on zinc oxide (ZnO) systems, silicon carbide (SiC), and other wide bandgap semiconductors. His recent work shows increasing focus on energy applications including photovoltaics, neuromorphic computing elements, and battery materials. The publications demonstrate consistent methodology combining experimental characterization with theoretical analysis, particularly emphasizing defect engineering approaches to modify material properties. Faculty Excellent Service Award: Faculty of Science, HKU (2008) Best Poster Award: ICMAT 2007, Singapore Faculty Knowledge Exchange Award 2024 for SiC Power Devices collaboration Professor Ling has supervised over 35 research postgraduate students across MPhil and PhD programs, with recent graduates focusing on SiC devices, ZnO-based materials, and 2D semiconductor structures. His grant portfolio includes significant funding as Principal Investigator on 17 projects totaling over HK$8 million, with recent major awards including HK$1.26 million for 'Bipolar Degradation in SiC Devices Suppressed by Proton Implantation' (2023) and HK$804,000 for 'Optimising the Performance of SiC Devices Through the Control of Atomic Scale Deep Level Defect' (2021). He leads the Material Physics Laboratory within HKU's Experimental Condensed Matter and Material Science Group, specializing in defect characterization and engineering of functional materials. The laboratory maintains specialized equipment for deep level transient spectroscopy, temperature-dependent Hall measurements, and luminescence spectroscopy, with international access to positron beam facilities in Germany.

Yiyang Liمشاهده پروفایل

استادیار

• Energy Storage
• Neuromorphic Computing
• Electrochemical Materials
• +۳ مورد دیگر

Yiyang Li is an Assistant Professor in the Department of Materials Science and Engineering at the University of Michigan, College of Engineering, specializing in electrochemical materials for energy storage and brain-inspired computing systems. Education: BS in Electrical and Computer Engineering from Olin College of Engineering (2011) PhD in Materials Science and Engineering from Stanford University (2016) His research centers on leveraging high-density point defects (>10 22 cm -3 ) in ionic materials for dynamic electrochemical doping. The first thrust examines individual Li-ion battery particles to uncover fundamental electrochemical properties, while the second develops analogue non-volatile memory elements for neuromorphic computing—potentially reducing machine learning energy consumption by two orders of magnitude through parallelized matrix operations. His work demonstrates significant trends in utilizing lithium, proton, and oxygen ions within host materials to enable high-density energy and information storage via redox processes. Awards: Truman Fellow at Sandia National Labs (2017-2020) Dr. Li actively recruits graduate students and postdocs for his newly formed research group starting September 2020, with current teaching responsibilities including MSE550: Fundamentals of Materials Science and Engineering. Prospective students must apply through UM departments before contacting him. The Li Group (http://ligroup.engin.umich.edu) operates from 2118 H.H. Dow and focuses on electrochemical redox systems for next-generation energy and computing applications.

Jason H. Steffenمشاهده پروفایل

دانشیار

• Exoplanet research
• Planetary formation
• Gravitation
• +۶ مورد دیگر

Jason H. Steffen is an Associate Professor of Physics at the University of Nevada, Las Vegas, where he leads a research group focused on exoplanetary science and astrophysics. His work spans multiple domains, including planetary formation and properties, gravitation, particle astrophysics, dark matter, dark energy, and airplane boarding optimization. Research Areas Exoplanet formation and system architecture Planetary interior structure modeling Impact of stellar chemical abundances on planet composition Collisional dynamics in planetary systems Transit timing and radial velocity analysis Airplane boarding process optimization Recent publications highlight his expertise in computational methods through tools like REBOUND and MAGRATHEA for simulating planetary dynamics and interior structures. His work addresses both fundamental astrophysical questions and practical applications in transportation efficiency.

• Economic Integration
• Regional Development and Globalization
• International Trade

Lokman Salih ERDEM serves as a full-time Lecturer at Ahi Evran University's Vocational School of Social Sciences, Department of Foreign Trade since 2020, concurrently holding the position of Department Head from 2023 onward. His academic career focuses on bridging theoretical economic frameworks with contemporary global trade dynamics within Turkey's vocational higher education system. His educational foundation includes: PhD in Economics from Erciyes University Institute of Social Sciences (2019) Master's Degree in Economics (Thesis) from Erciyes University Institute of Social Sciences (2017-2019) Bachelor's Degree in Economics from Anadolu University Faculty of Economics and Administrative Sciences (2013-2017) ERDEM's research program centers on Economic Integration, Regional Development and Globalization, and International Trade, with particular emphasis on how emerging financial instruments interact with traditional trade structures. His scholarly work examines regional economic disparities within globalized markets and evolving trade policy frameworks, increasingly incorporating digital finance elements into conventional economic analysis. His 2024 publication on cryptocurrency volatility represents a strategic expansion of his research into digital asset markets, applying quantitative methods to assess risk patterns in major cryptocurrencies. This work demonstrates his methodological approach of utilizing time-series analysis to explore contemporary financial phenomena within broader international trade contexts, signaling a trajectory toward integrating fintech developments with core economic research interests.

Eric Hallمشاهده پروفایل

مدرس

• Uncertainty Quantification
• Stochastic Simulation
• Predictive Modelling
• +۵ مورد دیگر

Dr. Eric Hall is a Baxter Fellow and Lecturer in Applied Mathematics at the University of Dundee's School of Science and Engineering. He holds a PhD in Mathematics from the University of Edinburgh (2013) and a B.A. in Mathematics from the University of Pennsylvania. Prior to joining Dundee in 2020, he held postdoctoral positions at KTH Royal Institute of Technology, University of Massachusetts Amherst, and RWTH Aachen University. His research focuses on the mathematical foundations of data science, specializing in uncertainty quantification , stochastic simulation , and predictive modeling for complex systems. Current work develops domain-aware surrogate models and sensitivity analysis techniques for scientific machine learning, with applications spanning materials science, finance, geophysics, and solar physics. Publications demonstrate a strong focus on multi-scale systems and scientific machine learning , with recent work expanding into astrophysical applications. Research consistently integrates mathematical rigor with practical applications across physics and engineering domains. Awards and Honors Dundee Difference Awards 2025 - Innovation of the Year Fellow of the Institute of Mathematics and its Applications (2022) Science and Engineering Staff Awards - Innovation in Teaching (2022) Dr. Hall actively supervises PhD students in uncertainty quantification and scientific machine learning, and serves as second supervisor for doctoral projects on chaotic differential equations. He has secured research grants including STFC PhD funding for Solar Physics applications and Heilbronn Focused Research Group funding. He maintains memberships in the Edinburgh Mathematical Society (Trustee), Institute of Mathematics and its Applications, Society for Industrial and Applied Mathematics, and American Mathematical Society. Dr. Hall leads research in uncertainty quantification within the Mathematics division and collaborates internationally on multi-scale modeling projects.

• Power Quality Metrology
• Smart Grids
• Power Electronics
• +۳ مورد دیگر

Andrzej Bień, PhD, DSc, Eng., is a university professor at AGH University of Science and Technology in Kraków, Poland, serving within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering and specifically the Department of Power Electronics and Automation of Energy Conversion Systems . He is a member of the College of his faculty and is based at building B-1, room 120. Research Interests: Prof. Bień’s work revolves around advanced power-quality metrology , smart-grid instrumentation , and renewable-energy integration . He develops measurement techniques for harmonic analysis, islanding detection, and power system diagnostics, employing digital signal processing, embedded systems, and novel sensor technologies. His investigations span from laboratory validation of phasor-based methods to field studies on icing detection for high-voltage lines. Publication Trends: From 2020 to 2024 his output reflects a strong focus on smart-grid data analytics, PMU-based monitoring, and the impact of harmonics on metering accuracy. Earlier work (2002–2019) concentrated on flickermeter design, power theory under non-sinusoidal conditions, and hardware for non-invasive voltage measurement, illustrating a continuous evolution toward cyber-physical energy systems. Scientific Contributions & Awards: Although no specific awards are listed, Prof. Bień has contributed numerous patents (e.g., optoelectronic cables, galvanically isolated current sensors) and has been instrumental in the development of IEC-compliant flickermeters and power-quality analyzers. Contact: Email: abien@agh.edu.pl Web: http://home.agh.edu.pl/~abien/ Phone: +48 12 617 28 57

Katherine Kelleyمشاهده پروفایل

استاد

• Geochemical exchange in Earth
• Geochemical tracers
• Mantle dynamics
• +۴ مورد دیگر

Katherine Kelley is a Professor of Oceanography at the University of Rhode Island Graduate School of Oceanography, where she directs the Micro-Analytical Geochemistry Lab and curates the Marine Geological Samples Laboratory. Her research focuses on geochemical exchanges at tectonic plate boundaries, particularly how volcanic activity reveals mantle composition and melting dynamics influenced by subducted oceanic crust and volatiles. PhD in Earth Sciences, Boston University (2004) BA in Geology, Macalester College (1997) Fulbright grant for volcanism studies in the Philippines (1997-98) Her work integrates high-temperature geochemistry, subduction zone dynamics, and volatile element cycling, with emphasis on iron oxidation states, water transport, and continental crust formation. She employs synchrotron XANES, LA-ICP-MS, and FTIR techniques to analyze volcanic glasses, minerals, and experimental samples. Recent publications highlight redox heterogeneity in mid-ocean ridge basalts (2013), mantle carbon inventory studies (2019), and Aleutian arc magma differentiation (2019). Her lab investigates tectonic-volcanic relationships through projects like the 2015 Aleutians expedition and ultra-deep arc crust drilling initiatives. 2019 NSF GeoPRISMS funding for Aleutian redox studies Deep Carbon Observatory (Sloan Foundation) support for mantle carbon research Kelley teaches courses including Subduction Zones and High-Temperature Geochemistry, and mentors graduate students in petrology and geochemical analysis. Lab alumni include PhD recipients Maryjo Brounce (2014) and Marion Lytle (2013), and MS graduates Zoe Gentes (2015) and Megan Lubetkin (2019).

• Applied Mathematics
• Probability and Stochastic Processes

Dr. Öğr. Üyesi Sinem Kozpınar is an Assistant Professor at Başkent University's Faculty of Commercial Sciences, specializing in Insurance Program. With a PhD in Financial Mathematics from METU and postdoctoral experience in Actuarial Sciences at Université Libre de Bruxelles, her work bridges mathematical modeling with insurance and energy market applications. Education: PhD (2018) and MSc (2013) in Financial Mathematics from METU; BSc (2011) in Mathematics from Hacettepe University Her research focuses on stochastic processes and applied mathematics , particularly in derivatives pricing and risk modeling. Publications span topics like regime-switching models, Heston stochastic volatility, and multi-asset options under Lévy frameworks. Recent work includes reduced-order modeling for volatility processes and energy quanto options pricing. She teaches courses in mathematical statistics, risk management, and insurance mathematics, while contributing to projects like the TÜRİB AI-Enhanced Market Surveillance Project.

• Environmental Chemistry
• Atmospheric Pollution
• Machine Learning Applications
• +۴ مورد دیگر

Gordana Jovanovic is an active Assistant Professor at Singidunum University's Faculty of Informatics and Computing, specializing in environmental chemistry with strong computational focus. Her research bridges atmospheric pollution dynamics and machine learning applications, evidenced by 15+ annual publications in high-impact journals. Research interests emphasize explainable AI applications for environmental systems, particularly: Atmospheric fate modeling of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) Volatile organic compound (VOC) behavior prediction using XGBoost/SHAP frameworks Marine pollution monitoring in the Adriatic Sea ecosystem Biomonitoring techniques for soil-plant-air pollution transfer Her publication trajectory shows significant methodological evolution from traditional environmental chemistry (2016-2021) to AI-integrated approaches since 2022, with recent work featured in Science of the Total Environment and Chemosphere . She co-authored the 2023 textbook 'Environmental Chemistry' and has contributed book chapters on AI applications in environmental science. Research collaborations span multiple institutions: University of Belgrade (doctoral alma mater and ongoing partnership) Croatian research groups (Adriatic Sea pollution studies) International co-authors from Montenegro, Russia, and Turkey Her advising approach emphasizes practical data science skills, with students typically contributing to conference presentations and journal publications. Current work focuses on advancing explainable AI frameworks for pollution source identification and health risk assessment, aligning with Singidunum University's new Applied Artificial Intelligence programs.