Small-Scale Mining Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۳۱-۴۵ از ۲۵۲ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Yoram Cohenمشاهده پروفایل

استاد

University of California, Los AngelesUnited States

Yoram Cohen is a Professor in the Department of Chemical and Biomolecular Engineering at the University of California, Los Angeles (UCLA). He leads the Polymer and Separations (PolySep) Research Laboratory, focusing on advanced water treatment technologies. Ph.D. in Environment and Sustainability D.Env. in Environmental Science and Engineering B.S. in Environmental Science His research spans membrane technology , surface nano-structuring , and environmental impact analysis . Key areas include: Reverse osmosis and ultrafiltration membrane design Surface crystallization and fouling mitigation Electroactive polymers for contaminant removal Nanoinformatics for environmental health Mathematical modeling of contaminant transport Recent publications emphasize machine learning integration in desalination systems, high-recovery water treatment , and sustainable membrane technologies . His work addresses challenges in decentralized water systems for disadvantaged communities. Pritzker Emerging Environmental Genius Award The PolySep Lab has pioneered innovations in: Surface-modified membranes with polymer brush layers Real-time scaling detection methods Self-adaptive control systems for water treatment

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Sheng C. Daiمشاهده پروفایل

دانشیار

Georgia Institute of TechnologyUnited States

Sheng C. Dai is an Associate Professor and group coordinator in Geosystems Engineering at the Georgia Institute of Technology, holding the Georgia Mining Association Early Career Professorship in the School of Civil and Environmental Engineering with courtesy appointments in Ocean Science and Engineering and the School of Earth and Atmospheric Sciences. Dr. Dai earned his Ph.D. from Georgia Tech in 2013 following ORISE postdoctoral fellowships at the National Energy Technology Laboratory (2013-2015). His educational background includes specialized training in geosystems engineering and energy-related subsurface processes. His research focuses on energy geotechnics and nature-inspired engineering, addressing critical challenges in energy sustainability and environmental protection through studies of geomechanics, granular dynamics, and porous media flow. Key applications include gas hydrate systems for energy recovery, waste-to-fuel conversion, and biomimetic solutions inspired by natural processes like rock-boring clams. Analysis of Dr. Dai's 2023-2025 publications reveals strong interdisciplinary integration of computational modeling (DEM, SPH), machine learning, and experimental techniques across energy geotechnics, granular material flow, and bio-inspired mechanisms. His work bridges petroleum engineering, environmental sustainability, and space exploration contexts. Dr. Dai has received numerous accolades recognizing his research, teaching, and service contributions: 2025: Early Career Researcher Award (USUCGER) 2024: Emerging Leaders Program (EVPR/Georgia Tech) 2023: Interdisciplinary Research Award and Woodruff Academic Leadership Fellows 2022: NSF Game Changer Academies and CREATE-X Faculty Fellowship 2020: NSF CAREER Award 2017: Bill Schutz Teaching Award and NETL Research Spotlight His Subsurface Processes Laboratory secures funding from DOE, NSF, NASA, and DOT for projects including $1M awards for waste-to-fuel conversion and methane clathrate research. Dr. Dai serves as Associate Editor for Journal of Geophysical Research: Solid Earth and leads ISSMGE's TC308 Energy Geotechnics Task Force while advising USGS and NETL programs. The laboratory conducts cutting-edge experimental and computational research on hydrate-bearing sediments, granular biomass flow, and bio-inspired geotechnical solutions, maintaining strong industry partnerships for real-world application of subsurface engineering innovations.

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Gagan Agrawalمشاهده پروفایل

استاد

University of GeorgiaUnited States

Gagan Agrawal is the UGA Foundation Professorship in Computing and a Professor at the School of Computing, University of Georgia. He serves as Director of the School and is affiliated with the Franklin College of Arts & Sciences. Agrawal holds a PhD and MS in Computer Science from the University of Maryland (1994-1996). His research focuses on high-performance computing, parallel algorithms, compiler optimization for deep learning, GPU acceleration, and interdisciplinary applications in health informatics. Notable contributions include frameworks like ForensiBlock (blockchain for data forensics) and DELITE (tensorized instruction compilation). Agrawal has secured over $2.5M in NSF grants for projects addressing extreme-scale computing challenges. Recent grants include: SHF: Small: Memory Hierarchy Optimizations Meet Transformers (MITTEN) ($600K, 2024-2027) DELITE compilation system for deep learning models ($600K, 2023-2026) Publications span parallel computing methodologies, cybersecurity frameworks, and health outcomes analysis. His work on social determinants of health in cancer survival has been systematically reviewed in top-tier medical journals. Agrawal leads UGA's computing initiatives, emphasizing interdisciplinary research and student mentorship in HPC and AI domains.

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Christian Winklerمشاهده پروفایل

استاد

Nuremberg Institute of Technology Georg Simon OhmGermany

Christian Winkler is Professor for AI-based UX optimization and general business administration at Nuremberg Institute of Technology since 2022. With over 25 years of experience spanning entrepreneurship, enterprise architecture, and academia, he brings substantial industry expertise to his academic role. His career includes founding multiple technology companies including an internet service provider (WWL Internet AG) that went public in 1999, Querplex GmbH through management buyout in 2003, and datanizing GmbH as an NLP SaaS provider in 2017. Professor Winkler's research focuses on practical applications of artificial intelligence in business contexts, with particular expertise in natural language processing, user experience optimization, and data-driven marketing strategies. His work bridges theoretical AI research with real-world business applications, emphasizing accessibility of complex technologies. He has published extensively on language models (including BERT and LLaMA implementations), text analysis techniques, and social media data analysis for business insights. Recent publications reveal a strong trend toward optimizing large language models for practical deployment, with significant focus on analyzing user-generated content from social platforms like Instagram and WallStreetBets. His work demonstrates how NLP can extract valuable business intelligence from unstructured data sources while making advanced AI techniques accessible to non-technical business professionals. Winkler teaches E-Commerce, International Marketing Tools - Quantitative Methods, Applied User Experience, and Communication Management, reflecting his interdisciplinary approach that combines technical AI knowledge with business administration expertise. He is an active contributor to the data science community through conference presentations at events like m3 Konferenz, MLsummit, and data2day, as well as educational content for Heise Academy on Python and NLP topics.

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Ortis Yankeyمشاهده پروفایل

پژوهشگر ارشد

University of SouthamptonUnited Kingdom

Ortis Yankey is a Research Fellow and Geospatial Data Analyst with the WorldPop Research Group at the University of Southampton, UK. He holds a Ph.D. in Geography from Kent State University (Ohio, USA). His research focuses on Bayesian spatial statistics, spatial and spatiotemporal epidemiology, and health/medical geography. Current work involves developing statistical approaches to produce high-resolution population estimates in low-income countries using geospatial data integration and examining health outcomes in underserved populations. Education: Ph.D. in Geography, Kent State University, Ohio, USA Research Interests: Population Modelling Spatial Epidemiology Health/Medical Geography Spatial Statistics Articles Trends: Recent work emphasizes Bayesian methods, spatial data integration for public health, and addressing demographic data gaps in low-resource settings. Themes include healthcare accessibility in Ghana, obesity predictors in Uganda, and vaccination coverage mapping. Labs/Teams: Active member of the WorldPop Research Group and the Population, Health and Wellbeing (PHeW) research group.

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Marcel Dingerمشاهده پروفایل

استاد

University of New South WalesAustralia

Professor Marcel Dinger is a prominent academic and researcher currently serving as Professor and Head of School for Biotechnology and Biomolecular Sciences at UNSW Sydney. With over 20 years of experience in genomics, he has established himself as a leading figure in both academic and entrepreneurial spheres within the field. He has published 153 papers with over 24,000 citations and maintains an h-index of 61 on Google Scholar. His leadership extends beyond academia as he serves as President of the Australasian Genomics Technologies Association (AGTA) and holds director positions at Pryzm Health and the National Centre for Indigenous Genomics (NCIG). Professor Dinger's research laboratory focuses on establishing new links between phenotype and genotype, particularly examining rare and complex diseases in relation to underexplored regions of the genome including pseudogenes, repetitive elements, non-canonical DNA structures, and noncoding RNAs. His work harnesses population-scale genomic datasets and sophisticated data science methods to bring an objective perspective to understanding how the genome stores information and how it is transacted in biology. His research interests span genomics, non-coding RNA biology, clinical applications of genomic medicine, and the development of computational approaches for analyzing complex genomic data. Analysis of Professor Dinger's recent publications reveals a strong emphasis on non-coding RNA research, particularly long noncoding RNAs and their roles in disease mechanisms. His work spans cancer genomics, neurological disorders, and fundamental genomic mechanisms including DNA secondary structures like i-motifs and G-quadruplexes. His research combines experimental approaches with advanced bioinformatics to address fundamental questions in genomic medicine and has significant translational implications for disease diagnosis and treatment. Highly Cited Researcher in Cross-Field category (2019, 2020, 2021) Fellow of the Faculty of Science (Research), Royal Society of Pathologists of Australasia (2016) NHMRC Career Development Award (2010) Queensland Government Smart Futures Fellowship (2009) Foundation of Research, Science and Technology New Zealand Postdoctoral Fellowship (2005) Professor Dinger has been instrumental in establishing and leading several significant research initiatives including Genome.One, one of the first companies globally to provide clinical whole genome sequencing services, and the Kinghorn Centre for Clinical Genomics at the Garvan Institute of Medical Research. His entrepreneurial experience includes founding four biotechnology and IT startups. He serves on multiple governance boards including the National Centre for Indigenous Genomics, focusing on using genomics to improve health outcomes for Australia's First Peoples. His laboratory at UNSW continues to advance our understanding of genomic regulation and its implications for human health and disease.

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Jessica L'Roeمشاهده پروفایل

استادیار

Middlebury CollegeUnited States

Jessica L'Roe is an Assistant Professor of Geography at Middlebury College. Her research focuses on human-environment relationships in forest landscapes undergoing rapid change, with emphasis on conservation and development initiatives, land access, inequality, and livelihood transitions. She conducts fieldwork in the Amazon Basin, East Africa, and collaborates with organizations globally. She holds a Ph.D. in Geography from the University of Wisconsin-Madison, alongside an M.A. in Agricultural and Applied Economics, an M.Sc. in Conservation Biology and Sustainable Development, and an undergraduate degree in Environmental Science from the University of North Carolina. Her teaching portfolio includes courses on natural history, land and livelihoods, environmental change in Latin America, and place-based data analysis. She actively involves students in data science projects, such as analyzing disaster vulnerability through social media data and exploring historical race-land connections using U.S. agricultural census data. Her courses emphasize fieldwork, statistical analysis, and critical engagement with global environmental challenges. L'Roe's research spans topics like deforestation dynamics in the Amazon, well-being indices in DRC forests, and land competition in Uganda. She combines quantitative and qualitative methods, often using spatial data tools like R and GeoDa. Her work bridges academic inquiry with applied solutions for sustainable development challenges. Outside academia, she enjoys natural history, gardening, and raising a family, reflecting her commitment to connecting human and environmental well-being.

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Stuart Waglandمشاهده پروفایل

مدرس ارشد

Cranfield UniversityUnited Kingdom

Dr Stuart Wagland is a Reader in Energy and Environmental Chemistry and Deputy Director of Research at Cranfield University's School of Water, Energy and Environment. He holds a PhD in waste chemistry from Cranfield and additional degrees in Chemistry and Display Technology. A Chartered Chemist (CChem) and Fellow of both the Royal Society of Chemistry (FRSC) and the Higher Education Association (FHEA), Dr Wagland specializes in waste management, enhanced landfill mining, and resource recovery from solid wastes. His work bridges chemistry and engineering, focusing on anaerobic digestion optimization, bioleaching, and critical metal extraction from waste streams. Research interests include waste characterization, energy potential assessment, and advanced thermal treatment technologies. Key projects involve EU Horizon 2020 initiatives (SMART GROUND, NEW MINE) and Interreg NW Europe's REGENERATIS project, aimed at recovering metals from industrial waste. Dr Wagland coordinates the UK Enhanced Landfill Mining Network and collaborates with EURELCO, a European consortium. Current activities include doctoral supervision in waste management and landfill mining. He has secured grants from Innovate UK, EPSRC, and the European Regional Development Fund. Awards include the Lord Kings Norton Medal for contributions to carbon capture and storage.

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Saleh Ashkboosمشاهده پروفایل

پژوهشگر

ETH ZurichSwitzerland

Saleh Ashkboos is a Ph.D. student in the Computer Science Department at ETH Zurich, advised by Professors Torsten Hoefler and Dan Alistarh. He is also a Research Assistant at the Scalable Parallel Computing Lab and an affiliated doctoral student of the ETH AI Center. His research focuses on accelerating deep neural network training and developing systems for large-scale graph processing. Prior to ETH Zurich, he earned his Master's degree in Computer Science from Sharif University of Technology, advised by Professor Amir Daneshgar. His work has led to notable contributions, including the best paper award at SC22 for 'ProbGraph.' Recent research emphasizes efficient LLM training and quantization techniques, with publications on topics like 4-bit inference, quantization-aware training frameworks, and scalable meteorological modeling. He has interned at Apple and Microsoft, and his work is accessible via Google Scholar and GitHub. Key projects include GPTQ (post-training quantization for transformers), SliceGPT (LLM compression), and ProbGraph (high-performance graph mining). His technical contributions span distributed systems, neural network optimization, and climate-related machine learning.

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Georgi Dimitrov Mengovمشاهده پروفایل

استاد

Sofia University "St. Kliment Ohridski"Bulgaria

Professor Georgi Dimitrov Mengov serves as a full-time faculty member at the Faculty of Economics, Sofia University "St. Kliment Ohridski" since 2005, heading the Center for Modeling Socioeconomic Systems. His interdisciplinary work bridges computational neuroscience and economic decision-making through affiliations including the editorial board of the International Journal of Neural Networks and Advanced Applications and advisory roles at Swiss Innovation Valley. His research focuses on human-oriented decision science , examining neural correlates of economic choices, emotional memory dynamics, and socioeconomic forecasting. Mengov develops computational models predicting intuitive economic behavior using neural network architectures, with particular emphasis on Behavioral economics and risk analysis Neurocomputational modeling of social systems Mathematical-psychological frameworks for decision processes His publication trends reveal consistent interdisciplinary integration: neural network methodologies applied to socioeconomic problems (2006-2018), behavioral economics of digital networks (2021-2025), and foundational work in human decision theory through monographs like Decision Science: A Human-Oriented Perspective (Springer, 2015). Recent work increasingly addresses turbulent economic environments and virtual social networking impacts. Scientific contributions include editorial leadership for major journals and program committee participation in the International Joint Conference on Neural Networks (2013-2019). Notable recognitions include ORCID registration (0000-0001-8157-3246) and ResearchGate profile. As academic advisor and center director, Mengov mentors emerging researchers while leading projects on socioeconomic modeling. His work demonstrates strong integration of theoretical neuroscience with practical economic applications, securing consistent publication output in high-impact journals including Neural Networks and Journal of Behavioral and Experimental Economics . Mengov maintains active research laboratories focused on neuroeconomic modeling and socioeconomic forecasting, with recent work exploring fractal social structures and virtual network economics. Current projects examine motivation dynamics in turbulent economic environments through the ACCESS Press publications.

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Thomas Daumمشاهده پروفایل

مدرس ارشد

University of GothenburgSweden

Thomas Daum is a Senior Lecturer at the School of Global Studies , University of Gothenburg. His research focuses on sustainable agricultural transformation and natural resource management in Africa and Asia, with emphasis on innovations and governance. Key areas include agricultural mechanization, digital agriculture, pesticide use, livestock development, and sustainability transitions in African agricultural innovation systems. University: University of Gothenburg School: School of Global Studies Academic Rank: Senior Lecturer His work explores the intersection of technology, governance, and sustainability, particularly through digital methods for data collection (e.g., time-use and nutrition in rural households) and their implications for gender dynamics. He also investigates mechanization adoption, digital extension services, and climate-smart agriculture. Scientific Trends : Recent publications examine agricultural innovation systems, digitalization in Africa, mechanization challenges, and biodiversity-smart farming. Articles span journals like Agricultural Systems , Development Policy Review , and Agronomy for Sustainable Development , with keywords reflecting themes of sustainability, digital agriculture, and governance. Publications : 15 most recent works (2023-2025) address mechanization adoption, digital tools for tractor hire, pesticide governance, and ICT applications in agriculture. Sub-fields include sustainable practices, innovation systems, gender dynamics, and policy challenges across African contexts.

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Dillon Prangerمشاهده پروفایل

استادیار

Illinois Institute of TechnologyUnited States

Dillon Pranger serves as an Assistant Professor at the Illinois Institute of Technology, directing the interdisciplinary Deconstruction/Reconstruction Lab focused on sustainable building material recovery and circular construction techniques. As a licensed architect, he founded the award-winning Office of Dillon Pranger (ODP) in Chicago, specializing in small-scale contextual projects that integrate material, labor, and energy lifecycles into design processes. Pranger's educational background includes a B.S. in Architecture from the University of Cincinnati and an M.Arch. from Cornell University, where he received the Henry Adams Certificate and Richmond Herold Shreve Award for distinguished thesis work. His teaching experience extends to Cornell University, Harvard GSD, and Syracuse University prior to his current position. His research centers on sustainable material systems and circular economy principles within architecture, challenging traditional waste paradigms through projects like Taking Stock and The Architecture of Waste publication. Pranger's work investigates finite material resources, design for disassembly methodologies, and urban mining concepts, emphasizing temporary material states and reversible construction techniques that preserve material value throughout multiple lifecycles. His recent design projects demonstrate consistent exploration of material reuse across scales—from the BYOB temporary structure using reclaimed Chicago bricks to Woodstack's friction-fit lumber assemblies. These works collectively examine construction waste reduction through innovative disassembly systems, QR-code material tracking, and context-specific material lifecycles, establishing him as a leading voice in circular architectural practice. Silver Medal for Best Young Architect, The Architect’s Newspaper (2023) Architizer A+ Awards (2023, 2024) Rethinking the Future Award (2023) Tallinn Architecture Biennale (2022) Henry Adams Certificate, Cornell University Richmond Herold Shreve Award, Cornell University Pranger actively mentors students through his Deconstruction/Reconstruction Lab while maintaining ODP's client-based practice. His studio courses like ARCH 497: Material Narratives and ARCH 497: The Architecture of Waste directly translate research into pedagogy, with students developing alternative building assemblies through physical prototyping. The lab investigates material scarcity through projects tracking lumber price fluctuations and exploring circular housing solutions for Amsterdam's urban context. The Deconstruction/Reconstruction Lab operates as both academic research unit and design incubator, with projects like Arcadian Anthropocene examining circular system logic for high-density housing and Design for Disassembly prototyping reversible construction techniques. Collaborative efforts involving students and practitioners test material reuse at full scale, from Woodstack's temporary pavilion to BYOB's modular brick assembly, creating tangible demonstrations of circular architectural principles.

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Cameron Brownمشاهده پروفایل

دانشیار

University of StrathclydeUnited Kingdom

Dr. Cameron Brown is a Reader (equivalent to Associate Professor) at the Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow. He specializes in developing digital design tools and strategies for pharmaceutical manufacturing. Brown joined Strathclyde in 2014 and has progressed through research associate, research fellow, and Chancellor's fellow positions. He currently coordinates the Drug Substance Manufacturing module for the Advanced Pharmaceuticals Manufacturing MSc program. Education: Brown holds a PhD in crystallization process characterization and a Chemical Engineering degree, both from Heriot-Watt University. Research Focus: His work centers on three primary areas: Hybrid modeling approaches : Integrating physics-based and data-driven models to enhance drug substance manufacturing efficiency Self-driving labs : Developing automated systems for drug substance process development with model-based experimental design Digital decision-making : Implementing coupled models through GenAI and LLMs for rapid pharmaceutical process development His research contributes to UN Sustainable Development Goals through improved medicine manufacturing sustainability. Publication Trends: Brown's recent articles focus on pharmaceutical crystallization, digital design methodologies, AI applications in manufacturing, and process optimization. His work demonstrates strong emphasis on translating computational models into industrial practice, particularly in continuous manufacturing and quality-by-design frameworks. Honors: Elected staff officer of British Association of Crystal Growth (2024) Research Leadership: Brown serves as Principal Investigator for PharmaCrystNet and co-investigator on multiple major initiatives including Digital Design and Manufacturing of Amorphous Pharmaceuticals, Future CMAC Manufacturing Hub, Accelerated Discovery and Development of New Medicines Prosperity Partnership, and ARTICULAR. He leads knowledge exchange projects with pharmaceutical companies and manages knowledge transfer partnerships. Professional Engagement: Brown is active in the Acceleration Consortium and serves on the committee of the British Association of Crystal Growth.

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Katharina Pfaffمشاهده پروفایل

دانشیار

Colorado School of MinesUnited States

Katharina Pfaff is a Research Associate Professor in the Department of Geology and Geological Engineering at the Colorado School of Mines. Her research focuses on mineral chemistry, geochemistry of hydrothermal ore deposits, and economic geology. She holds a Ph.D. in Economic Geology from the University of Tübingen, Germany (2010), and an M.Sc. in Mineralogy (2007). Her research interests include thermodynamic modeling of element solubility and fluid-rock interaction, igneous petrology in peralkaline systems, rare earth element systematics, and radiogenic/stable isotope geochemistry. She leads the Katharina's Research Group, advancing studies in automated mineralogy and its applications in resource exploration and environmental assessment. Notable contributions include work on the Schwarzwald ore district in Germany, mineralogical controls on acid mine drainage, and hydrothermal processes in porphyry systems. Her recent studies emphasize the use of advanced analytical techniques like SEM-based automated mineralogy and hyperspectral imaging for geological exploration and environmental monitoring.

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David Roosمشاهده پروفایل

استاد

University of PennsylvaniaUnited States

David Roos is a Professor of Biology at the University of Pennsylvania within the College of Arts & Sciences. His research focuses on Genetic Analysis of Parasite Biology and Mechanisms of Drug Action and Resistance , leveraging bioinformatics and functional genomics to study eukaryotic pathogens, vectors, and their interactions with hosts. Recent publications highlight his work in bioinformatics resource development ( VEuPathDB , FungiDB ), pharmacokinetic methods ( Immunocapture LC–MS ), and global health challenges (e.g., Artemisinin Resistance ). Key subfields include parasite genomics, database tools, and analytical chemistry. For correspondence, contact droos@sas.upenn.edu . Further details on his research and publications are available via his lab website and affiliated databases.

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