جستجوی استاد راهنمای دانشگاهی

Flavio Anselmettiمشاهده پروفایل

استاد

• Sedimentary records as indicators for environmental and climate change
• Paleoseismology and natural hazards
• Sediment budgets of source-to-sink systems
• +۳ مورد دیگر

Prof. Flavio Anselmetti is a Full Professor of Quaternary Geology and Paleoclimatology at the University of Bern , where he has been employed since 2012. He also serves as the Managing Director of the Institute of Geological Sciences . Prior to this, he held significant roles at ETH Zurich, including SNSF Assistant Professor, and at EAWAG Dübendorf as Head of the Sedimentology Group, while remaining a Titular Professor at ETH Zurich until 2012. His academic training includes a Diploma in Geology (1990) from the University of Basel , followed by a PhD (1994) from ETH Zurich and University of Miami (USA) . He spent three years as a Postdoctoral Fellow and Research Associate at the University of Miami between 1994 and 1997. Paleoseismology : Using lacustrine and marine sediments to reconstruct earthquake and tsunami records Climate Change Studies : Investigating Holocene and Pleistocene climate shifts through sediment cores Sediment Dynamics : Analyzing source-to-sink systems and glacial sediment properties His recent publications focus on sedimentary archives in Science Advances , Quaternary Research , and Environmental Modelling and Software , with an emphasis on deep learning applications in sediment analysis , multi-proxy paleoenvironmental reconstructions , and human impact assessments over millennia. He has contributed to major projects in the Alpine foreland and Caribbean regions . Prof. Anselmetti leads the Quaternary Geology and Paleoclimatology Research Group and collaborates with international teams on ICDP-DOVE drilling campaigns and multibeam bathymetry mapping in Swiss lakes. His work extends to geohazard assessment , carbonate-siliciclastic shelf dynamics , and subaqueous fault analysis in active tectonic zones.

Negin Alemazkoorمشاهده پروفایل

استادیار

• Infrastructure Systems
• Artificial Intelligence
• Renewable Energy
• +۷ مورد دیگر

Negin Alemazkoor is an Assistant Professor at the University of Virginia's School of Engineering and Applied Science, specializing in interdisciplinary research on infrastructure resilience. Her work focuses on developing AI-driven methodologies for analyzing interconnected systems like power grids, urban flood models, and transportation networks under uncertainty. Key areas include enhancing grid reliability through multi-fidelity modeling, hurricane evacuation equity analysis, and precision-compression techniques for large-scale data. She co-leads a NSF-funded initiative to democratize AI education in high schools. Her research integrates graph neural networks, physics-informed models, and machine learning to address challenges in energy systems, environmental monitoring, and disaster response. Notable projects include hurricane-induced power outage risk analysis under climate change and precision guarantees for smart-meter data analytics. She emphasizes computational efficiency and multi-fidelity approaches to balance accuracy with resource constraints. Recent contributions span AI applications in flood forecasting, renewable energy integration, and infrastructure cybersecurity. Her NSF grant aims to create inclusive AI curricula, reflecting her commitment to education and societal impact. She is affiliated with UVA Engineering’s research initiatives on resilient systems and data-driven decision-making.

• Control Technology
• Distributed Optimization
• Machine Learning
• +۴ مورد دیگر

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

Rajiv Sinhaمشاهده پروفایل

استاد

• River Science
• Fluvial Geomorphology
• Sedimentology
• +۵ مورد دیگر

Prof. Rajiv Sinha is a Professor in the Department of Earth Sciences at Indian Institute of Technology Kanpur . With a PhD from the University of Cambridge (1992), his career spans over two decades at IITK, including roles as Head of Department since 2014. Education: PhD (University of Cambridge, 1992), M.Tech (University of Roorkee, 1987), B.Sc (Patna University, 1983) Key Affiliations: Member of International Association of Sedimentologists, SEPM, Quaternary Research Association, and Indian Professional Societies Research Focus: Specializing in river science , Prof. Sinha investigates fluvial geomorphology , sedimentology , and natural hazards like Kosi floods . His work integrates remote sensing and GIS for climate change and paleoclimate reconstruction , notably studying the Ganga river system and its anthropogenic impacts . Scientific Leadership: His publications (2013-2017) reveal: Anthropocene river systems (2016) Indus Civilization paleohydrology (2017) Kosi megafan dynamics (2015) Monsoon evolution (2010, 2014) Groundwater management (2016) Awards & Recognitions: Pandit Girish Ranjan Chair Professorship (2013) National Mineral Award (2002) Alexander von Humboldt Fellowship (2000) UGC Research Fellowship (1988) University Gold Medal (1987) Collaborative Network: Partners include University of Durham , Imperial College London , and Institute du Physique de Globe, Paris . Currently leading Ganga River Basin Management studies and river science initiatives at IITK.

Ghassan Hamarnehمشاهده پروفایل

استاد

• Medical Image Analysis
• Scientific computing
• Signal and image processing
• +۵ مورد دیگر

Ghassan Hamarneh is a Professor in the School of Computing Science at Simon Fraser University (SFU). His research focuses on medical image analysis, with expertise in super-resolution microscopy, explainable AI, and biomedical computing. He teaches courses in biomedical computing and scientific computing, emphasizing practical applications like signal processing and health informatics. Education: Ph.D. in Signal and Systems (Chalmers University, 2001), M.Sc. in Digital Communications (Chalmers, 1997), B.Sc. in Electrical Engineering (Jordan University, 1995). Research Interests include developing AI-driven tools for medical imaging, analyzing cellular structures using super-resolution techniques, and addressing ethical challenges in AI deployment. His work bridges computational methods with clinical applications, such as lesion segmentation, PET image analysis, and bias mitigation in medical algorithms. Recent publications highlight advancements in network analysis of molecular structures, debiasing AI models, and improving diagnostic accuracy through deep learning. His lab contributes to open-source software like SuperResNET and MCS-DETECT for super-resolution microscopy analysis. No scientific awards explicitly listed, but his extensive publication record reflects recognition in the field. Advising and grants information is not detailed in the provided texts. Active in teaching, including CMPT 340 (Biomedical Computing) and special research projects.

Irena Hajnsekمشاهده پروفایل

استاد

• Satellite Radar Data
• Electromagnetic Wave Propagation
• Radar Polarimetry
• +۳ مورد دیگر

Prof. Dr. Irena Hajnsek is a Full Professor at the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. She heads the Polarimetric SAR Interferometry research group at the German Aerospace Center (DLR) and serves as Scientific Coordinator for the TanDEM-X satellite mission. Her work focuses on electromagnetic wave propagation, radar polarimetry, and SAR data processing for environmental monitoring. IEEE Fellow (2014) DLR Science Award (2014) Multiple Best Paper Awards (VDE EUSAR, IEEE GRSS) Co-chair IEEE IGARSS Technical Program (2012, 2019) Founder IEEE GRSS REACT Technical Committee (2021) Her research spans geophysical parameter estimation from SAR data, with applications in soil moisture monitoring, glacier ice analysis, and agricultural crop mapping. She serves as Associate Editor for the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Patrick S. Marketمشاهده پروفایل

استاد

• Synoptic and Mesoscale Dynamics
• Winter Weather
• Heavy Rainfall
• +۶ مورد دیگر

Dr. Patrick S. Market is a Professor of Atmospheric Science and currently serves as the Director of the School of Natural Resources at the University of Missouri. He also acts as Interim Co-Director of the Missouri Water Center. His research focuses on synoptic and mesoscale dynamics, particularly winter weather, heavy rainfall, flash flooding, and severe local storms. He has contributed to advancements in precipitation efficiency studies and operational forecasting techniques. His work explores the role of artificial intelligence in weather prediction and communication, emphasizing the continued importance of human expertise in an automated forecast process. Dr. Market has secured grants for data stream maintenance and digital equity planning, and he has led educational initiatives integrating research into synoptic meteorology classrooms. Notable collaborations include projects with the National Weather Service and studies on the Ozark Plateau's topographical influence on weather systems.

Ralph C. Martinمشاهده پروفایل

استاد

• Sustainable Agriculture
• Agroecology
• Agronomy
• +۵ مورد دیگر

Ralph C. Martin is a retired Professor in the Department of Plant Agriculture at the University of Guelph. His research focuses on sustainable food production, emphasizing resilient farming systems, soil health, and nitrogen use efficiency. He holds a Ph.D. from McGill University and has contributed to interdisciplinary projects across cropping systems, forage agronomy, and environmental stewardship. Education: B.A. and M.Sc. from Carleton University; Ph.D. from MacDonald College, McGill University. Research interests include sustainable agriculture, agroecology, climate change adaptation, and food security. His work bridges agronomic practices with ecological principles to enhance productivity while preserving natural resources. Notable contributions include books like Food Security: From Excess to Enough (2019) and over 150 peer-reviewed publications. He received the 2015 Sustainability Best Paper Award for his review on organic farming's carbon impacts. Recent publications address groundwater nitrate dynamics, cover crop effects, and automated pasture technologies. Martin actively engages in public discourse on food systems through op-eds and keynote talks, advocating for systemic changes to ensure equitable and resilient food production.

Lisa Kervinمشاهده پروفایل

استاد

• Early Childhood Education
• Digital Literacy
• Child Development
• +۳ مورد دیگر

Professor Lisa Kervin is a leading academic in early childhood education at the University of Wollongong (UOW), serving as Director of Early Start Research and holding a Professorial appointment in the School of Education. Her research focuses on young children’s literate practices, play-based learning, and digital technology integration in education. She leads the ARC Centre of Excellence for the Digital Child and has secured significant funding, including a 2025 ARC Future Fellowship exploring intergenerational play. Kervin was honored as a Member of the Order of Australia (AM) in 2024 for contributions to early childhood digital literacy research. She has supervised over 35 research students, many now in academic and leadership roles, and currently oversees seven doctoral candidates. Her work bridges theory and practice through collaborations with educators and industry partners, emphasizing interdisciplinary approaches to child development and policy influence globally. Education: PhD in Language and Literacy from UOW (2001–2004). Professional roles include Principal Fellow of the Australian Literacy Educators’ Association and Director qualifications from the Australian Institute of Company Directors. Her research spans digital childhood ethics, play pedagogy, and literacy curriculum design, with outputs impacting government policies and international educational frameworks. Ongoing projects include the ‘DigIQ’ program promoting digital literacy and ‘Playgroups for All Ages’ fostering intergenerational engagement. Grants and collaborations involve partnerships across six universities and 33 global organizations. Her teaching innovations include the Early Childhood Elevate Mentoring Program to support educators’ academic progression. Kervin’s work addresses critical issues like screen time impacts, STEAM education, and culturally responsive pedagogies, positioning her as a key voice in 21st-century early childhood education.

Abani Patraمشاهده پروفایل

استاد

• Computational Sciences
• Data Driven Modeling
• Computer Science
• +۵ مورد دیگر

Abani Patra is a Professor of Computer Science, Mathematics, Mechanical Engineering, and Civil and Environmental Engineering at Tufts University. He also serves as the Center Director for Data Science at the Tufts Institute for Artificial Intelligence (TIAI). His research focuses on computational sciences and data-driven modeling, with applications spanning environmental systems, biomedical imaging, and geophysical hazards. He has directed major initiatives at the National Science Foundation (NSF) and U.S. Department of Energy (DOE), and previously founded the Institute for Computational and Data Sciences at the University at Buffalo. Education: PhD in Mathematics, University of Texas, 1995 MS in Mechanical Engineering, University of Missouri, 1990 BSc in Engineering, Birla Institute of Technology & Science, India Research Interests: Large-scale computational modeling and uncertainty quantification Data-driven approaches for geophysical hazards (e.g., debris flows, volcanic eruptions) Biomedical imaging and metabolic analysis Open science platforms for glaciology and volcanology Key Projects: Developed the Ghub platform for open cryosphere research Launched VICTOR, a cyberinfrastructure for volcanology Advanced AI-driven techniques for postfire debris flow prediction Grants & Leadership: Directed NSF and DOE programs in computational science PI for NSF Cyberinfrastructure grants Former director of the Institute for Computational and Data Sciences

• Soil Biogeochemistry
• Carbon Cycling
• Mineral-Soil Interactions
• +۳ مورد دیگر

Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.

Hannes Taubenböckمشاهده پروفایل

استاد

• Remote Sensing
• Global Urbanization
• Urban Structure Analysis
• +۶ مورد دیگر

Prof. Dr. Hannes Taubenböck holds the Chair of Global Urbanization and Remote Sensing at the Julius-Maximilians University of Würzburg (Faculty of Philosophy, Institute of Geography and Geology) since 2022 and collaborates with the German Aerospace Center (DLR). His research bridges remote sensing with urban geography, focusing on: Global urbanization patterns and structural analysis Informal settlements (slums/refugee camps) Climate change and natural hazard vulnerability Migration dynamics via remote sensing and social media He obtained his PhD (2008) and habilitation (2019) at JMU Würzburg, preceded by geography studies at LMU Munich (1999-2004). His recent publications analyze: Climate impacts on African agriculture Urban permeability and walkability Border region disparities Heat exposure modeling Methodologically, he specializes in: Deep learning for earth observation Multi-modal data fusion Urban pattern classification Building stock analysis His work informs policy applications in: EU cohesion programs Disaster risk reduction Environmental justice Urban sustainability

• Process Technology
• Device Design
• Silicon Carbide (SiC) Electronics
• +۳ مورد دیگر

Carl-Mikael Zetterling is a Professor and Head of Department at Kungliga Tekniska Högskolan (KTH) in Stockholm, Sweden, affiliated with the School of Electrical Engineering and Computer Science (ICT) and the Electronics and Embedded Systems department. His research focuses on process technology and device design for high-temperature, high-power silicon carbide (SiC) electronics, expanding into SiC-based analog and integrated circuits. He has authored over 300 publications, including books on SiC process technology and plagiarism prevention. Dr. Zetterling has held leadership roles such as Vice Dean of the School of ICT (2013–2017) and teacher representative on KTH's faculty board. He has collaborated internationally at Stanford University, Kyoto University, and Kyoto Institute of Technology. His work addresses applications in extreme environments, including Venus exploration and fusion reactor monitoring, with a focus on radiation tolerance and thermal resilience. The 15 most recent publications highlight trends in wide bandgap semiconductors, gamma irradiation effects on SiC devices, and high-temperature integrated circuits. His articles span structural health monitoring with machine learning, novel SiC diode designs, and radiation-hardened electronics. Key contributions include advancements in self-aligned contacts, trench MOSFETs, and compact modeling for extreme conditions. While no formal awards are listed, his roles in technical program committees (TMS Electronic Materials Conference, IEEE SISC Conference) and editorial work demonstrate significant academic service. He teaches courses ranging from digital design to high-temperature electronics, overseeing degree projects in embedded systems, communication, and nanotechnology.

Afshin Daryoushمشاهده پروفایل

استاد

• Microwave Photonics
• Nonlinear Microwave Circuits
• RFIC and Wireless Communications
• +۳ مورد دیگر

Dr. Afshin Daryoush is a Professor in the Department of Electrical and Computer Engineering at Drexel University’s College of Engineering. He earned his Ph.D. and M.S. in Electrical Engineering from Drexel and a B.S. in Electrical Engineering from Case Western Reserve University. His academic career spans decades of innovation in microwave photonics, with a focus on RF circuits, wireless communications, and biomedical applications. Research interests include Microwave Photonics Systems Nonlinear Microwave Circuits RFIC and Wireless Communications Antennas and Radiating Systems Electromagnetic Interaction with Biological Systems His recent publications emphasize advancements in microwave photonics and optical engineering, particularly in all-optical analog-to-digital converters, optoelectronic oscillator design, and 3D-printed microwave components. These works span disciplines like Electrical Engineering, Photonics, and Materials Science, with subfields covering frequency synthesis, tunable antennas, photonic crystals, and high-speed signal processing. Scientific achievements include Microwave Prize at the 16th European Microwave Conference (1986) Elevation as Fellow of IEEE (1998) for contributions to nonlinear microwave photonics Drexel University College of Engineering Outstanding Innovation Award (2020) Drexel Alumni Association Award (2018) IEEE Philadelphia Section Benjamin Franklin Key Medal (2015) Dr. Daryoush has advised students whose works have won best paper awards at IEEE conferences. He has secured grants from US government agencies and aerospace/telecom companies, held visiting scholar roles at NTT and CNRS, and contributed to over 200 publications and five book chapters. His collaborations extend to institutions in France, Japan, and the US.

Marcell K. Petersمشاهده پروفایل

پژوهشگر

• Biodiversity
• Community Ecology
• Climate Change
• +۵ مورد دیگر

Dr. Marcell K. Peters is a Senior Academic Councillor at the Chair of Animal Ecology and Tropical Biology (Zoology III) at the University of Bremen. His research focuses on biodiversity patterns, ecosystem functioning, and climate-land use interactions in tropical and montane environments, with extensive fieldwork in East Africa and the Amazon. He leads projects under DFG and EU funding, including the UPSCALE initiative. Habilitation in Zoology (University of Würzburg, 2018) PhD in Biology (University of Bonn, 2008) Diploma in Biology (RWTH Aachen & University of Bonn, 2003) Research spans multi-taxa community ecology, army ants and ant-following birds, DNA barcoding applications, and climate change impacts on pollination networks. Google Scholar highlights recent work on climate-agriculture interactions in sub-Saharan Africa, trait-based community assembly, and network resilience in biodiversity hotspots. His publications emphasize elevational gradients, disturbance ecology, and functional diversity across Mount Kilimanjaro studies. Current affiliations include the DFG Research Unit Kilimanjaro and EU-funded UPSCALE project. He employs advanced methods like airborne LiDAR for biodiversity prediction and investigates nutrient use by ant communities across continents.