جستجوی استاد راهنمای دانشگاهی

Alper Yilmazمشاهده پروفایل

استاد

• Deep Learning
• Reinforcement Learning
• Computer Vision
• +۱۱ مورد دیگر

Alper Yilmaz is Professor with appointments in Civil Environmental and Geodetic Engineering and Computer Science and Engineering (courtesy) Departments at The Ohio State University. He serves as Director of PCVLab and is currently interim president for the ISPRS Technical Commission II. Dr. Yilmaz has been inducted to the U.S. National Academy of Inventors in 2020 and is a Fellow of the American Society for Photogrammetry and Remote Sensing (ASPRS) and senior member of IEEE. Dr. Yilmaz's research focuses on biomimetic navigation systems for unmanned systems, mining anomalies in multi-physics and multi-dimensional data for surveillance, and learning geospatial information for scene understanding. His expertise spans Deep Learning, Reinforcement Learning, Computer Vision, Photogrammetry, Data-centric Surveillance, Collaborative Swarm Navigation, and Indoor Positioning Systems. His recent work on biomimetic navigation systems has resulted in UbiHere Inc., an Ohio State University spin-off founded in 2018. Dr. Yilmaz has served as Editor-In-Chief for the Photogrammetric Engineering and Remote Sensing Journal (PE&RS) between 2016-2024, during which the journal's impact factor increased to its highest since 1934. He previously served as Associate Editor for Computer Vision and Image Understanding Journal (2014-2016) and Machine Vision and Applications Journal (2006-2011). Outstanding Service Award (2022, ASPRS) Innovator of Year (2020, OSU) Presidential citation (2019, ASPRS) Masao Horiba Award honorable mention (2016, Japan) Lumley Interdisciplinary Research Award (2015, OSU) Lumley Research Award (2012, OSU) Top 1% most cited researcher in Artificial Intelligence & Image Processing and Geological & Geomatics Engineering (2024) Dr. Yilmaz has advised 29 Ph.D. and 15 M.Sc. students to completion on topics ranging from photogrammetry, machine learning, and computer vision. His research has received over $13M in extramural funding from NASA, NSF, DOD, DOE, NIH, and industry partners including Ford Motor Company, Trimble Inc., and UbiHere Inc. PCVLab, located in Bolz Hall Suite 233, features a sensor calibration room, state-of-the-art workstations with GPUs for deep learning studies, and small robotic systems including ground and aerial units.

Grzegorz Kiarszysمشاهده پروفایل

استادیار

• Archaeological Methodology
• Conflict Archaeology
• Landscape Archaeology
• +۵ مورد دیگر

Dr. Grzegorz Kiarszys serves as Assistant Professor in the Department of Archaeology within the Institute of History at the University of Szczecin, a position he has held since October 2011. His academic journey began with archaeology studies at Adam Mickiewicz University in Poznań (1999-2004), where he earned his Master's degree under Prof. Danuta Minta-Tworzowska, followed by doctoral research completed in 2010 under Prof. Włodzimierz Rączkowski. His educational background includes: Master of Archaeology, Adam Mickiewicz University (2004) PhD in History, Adam Mickiewicz University (2010) Kiarszys specializes in archaeological methodology with emphasis on conflict archaeology, landscape archaeology, and advanced geospatial technologies. His research integrates social theories with non-invasive methods including GIS, airborne laser scanning (LiDAR), aerial photography, and photogrammetry to analyze spatial organization and landscape transformation. His work particularly focuses on medieval and post-conflict landscapes in Poland, examining how cultural and political forces shape spatial perception and material heritage. This interdisciplinary approach bridges traditional archaeology with digital humanities and heritage conservation. Analysis of his 15 most recent publications reveals consistent focus on landscape palimpsests, aerial perspective limitations, and conflict-related heritage. Key trends include methodological innovation in point cloud analysis, critical examination of cartographic representations, and theoretical exploration of time-space relationships in archaeological contexts. His work increasingly addresses Cold War heritage and post-WWII landscape transformations. Scientific recognition includes: Individual award from the Minister of Science and Higher Education (2016) for monograph on Górowski County defensive settlements His grant leadership demonstrates significant research impact: the 2014-2015 Ministry of Culture-funded project on defensive settlements in Górowski County established new methodological frameworks, while the 2018-2019 project on Soviet nuclear warhead storage sites pioneers archaeological perspectives on Cold War heritage. These projects involve international collaborations with researchers from Serbia, UK, and Ireland, often incorporating student fieldwork components. Kiarszys actively participates in rescue excavations across Poland and has contributed to major infrastructure projects including Copenhagen Metro archaeological surveys. Though not explicitly mentioning dedicated labs, his work integrates with student research groups including the Student Archaeological Club and Media and Civilization Research Club at the University of Szczecin, where he supervises field methodology and spatial analysis components.

Amin Mesmoudiمشاهده پروفایل

دانشیار

• Data Engineering
• Machine Learning
• Anomaly Detection
• +۵ مورد دیگر

Amin Mesmoudi serves as Associate Professor in Data Engineering at the University of Poitiers' IUT (Institut Universitaire de Technologie), with dual laboratory affiliations at LIAS-ENSIP (Poitiers campus) and LIAS-ISAE-ENSMA (Chasseneuil campus). His research bridges theoretical database systems with practical large-scale data engineering challenges, particularly in semantic web technologies and machine learning applications. The laboratory maintains physical presences at both ENSIP's Bâtiment B25 in Poitiers and ISAE-ENSMA's Téléport 2 facility in Chasseneuil, facilitating cross-institutional collaboration. Mesmoudi's research program centers on scalable data management systems, with three interconnected pillars: (1) RDF and graph-based query optimization techniques for billion-triple datasets, (2) machine learning integration for spatial query performance and anomaly detection, and (3) explainability frameworks for complex black-box models. His work demonstrates consistent evolution from foundational database systems (2011-2016) toward contemporary AI-driven data engineering, particularly evident in his 2023-2025 publications on temporal dependency preservation and co-selection explainability. The Data Engineering team within LIAS laboratory provides the primary research context for these investigations. Publication analysis reveals strong methodological continuity in addressing scalability bottlenecks across database paradigms. Early work focused on SQL-on-MapReduce benchmarking for astronomy databases (2015-2016), transitioning to specialized RDF processing frameworks (2019-2021), and culminating in current hybrid approaches combining temporal modeling with machine learning (2023-2025). Key technical themes include fragmentation strategies for distributed data, optimizer feedback mechanisms, and graph-based query acceleration - all targeting real-world performance constraints in big data environments. As a core member of LIAS laboratory's Data Engineering team, Mesmoudi contributes to France's national research infrastructure in computer science and automation systems. The laboratory's dual-university structure enables unique cross-pollination between University of Poitiers' academic programs and ISAE-ENSMA's engineering specialization, with Mesmoudi's work exemplifying this synergy through applications spanning astronomy databases to wireless sensor networks.

Kenneth Kentمشاهده پروفایل

استاد

• Hardware/Software Co-Design
• Virtual Machines
• Reconfigurable Computing
• +۵ مورد دیگر

Dr. Kenneth Kent is a Professor in the Department of Computer Science at the University of New Brunswick (UNB), where he has served for 14 years. He is the Director of the Information Technology Centre (ITC) and heads the Reconfigurable Computing Group. He also serves as Director of the IBM Centre for Advanced Studies - Atlantic and holds an Honorary Professorship at Hochschule Bonn-Rhein-Sieg. His research focuses on hardware/software co-design, reconfigurable computing, virtual machines, and embedded systems. Dr. Kent earned his PhD and Master of Science in Computer Science from the University of Victoria. His work has led to over 100 refereed publications and the supervision of 70+ graduate students. He co-founded WEnTech Solutions Inc., a software firm addressing waste-to-energy optimization. His awards include the IBM Faculty Fellow of the Year and Project of the Year (as Principal Investigator) for contributions to the J9 Java Virtual Machine. His articles span FPGA acceleration, compiler optimization, cloud storage security, and IoT intrusion detection. Recent work emphasizes energy-efficient Node.js systems and advancements in CAD tools like VTR 9 for FPGA architecture. Dr. Kent’s advising and grants include leading the IBM CAS Atlantic and directing industry-academia collaborations. He has pioneered technologies such as the Eclipse OpenJ9 JVM and the CephArmor storage interface, balancing academic research with commercial innovation. He leads the Reconfigurable Computing Group at UNB and collaborates with the Institute for Visual Computing in Germany. His research bridges theoretical computing and practical applications, with a focus on scalable systems and embedded technologies.

Elias Willbergمشاهده پروفایل

پژوهشگر

• Urban Geography
• Sustainable Urban Mobility
• Environmental Science
• +۶ مورد دیگر

Elias Willberg is a Postdoctoral Researcher at the Department of Geosciences and Geography, University of Helsinki. He is affiliated with the Helsinki Institute of Urban and Regional Studies (Urbaria), the Helsinki Institute of Sustainability Science (HELSUS), and the Digital Geography Lab. His work focuses on urban sustainability, transportation planning, and environmental exposure during active mobility.

Noémie Jeanninمشاهده پروفایل

پژوهشگر

• Photovoltaic Energy
• Electric Vehicle Charging
• Energy Systems
• +۷ مورد دیگر

Noémie Jeannin is a doctoral assistant and PhD student at École polytechnique fédérale de Lausanne (EPFL), affiliated with the Laboratory of Photovoltaics and Thin Films (PV-LAB) within the School of Engineering and the Institute of Microengineering. She is a member of the Energy Doctoral Program (EDOC-EDEY) and serves as the doctoral student representative, contributing to academic governance. Her work is centered on sustainable energy systems, particularly the integration of renewable energy and transportation electrification. Her research focuses on the coupling of photovoltaic (PV) energy production with electric vehicle (EV) charging, using advanced geospatial modeling to quantify energy demand and mobility habits across Europe. She develops methodologies to assess charging flexibility and infrastructure needs, contributing to the European OPENGIS4ET project and the development of the Citiwatts open-source platform for energy transition planning. Her work spans disciplines including energy systems, smart grids, GIS, and sustainable urban mobility. The trends in her publications reveal a strong emphasis on spatial and temporal modeling of energy demand, policy-relevant analysis of electricity tariffs, and innovative solutions for grid integration of distributed energy resources. Her recent articles highlight practical applications in urban energy planning, EV charging behavior, and cost-effective alternatives to grid upgrades. Noémie is actively involved in teaching as an assistant for the course 'Energy Supply Economics and Transition (ENG-410)' and participates in academic service through her representative role. She collaborates with researchers such as A. Pena-Bello, C. Ballif, and N. Wyrsch, and her work is supported by European and institutional research initiatives. She maintains professional profiles on ORCID, Google Scholar, and LinkedIn, and her primary contact is via email at noemie.jeannin@epfl.ch. Her office is located at MC A2 208, EPFL.

Yun Zhangمشاهده پروفایل

استاد

• Remote Sensing
• Image Processing
• Computer Vision
• +۴ مورد دیگر

Dr. Yun Zhang is a Professor and Canada Research Chair in the Department of Geodesy and Geomatics Engineering at the University of New Brunswick. He holds a PhD from the Free University of Berlin and has pioneered research in remote sensing, image processing, and computer vision since 2000. His patented technologies are licensed to global companies including PCI Geomatics and DigitalGlobe. Research Focus: Optical/radar image processing, digital photogrammetry, AI applications in geomatics, and sensor fusion for UAV systems. His work enables advanced geospatial analysis across environmental, urban, and defense sectors. Distinctions: First Giuseppe Inghilleri Award (ISPRS 2012) NSERC Synergy Innovation Award from Governor General of Canada (2011) ASPRS Talbert Abrams Grand Award (2005) Featured in CFI 20th Anniversary Book for breakthrough innovations Technology Impact: Solutions deployed by NASA, USGS, Google Earth, and DND Canada across five continents. Recognized among top 9 Canadian research achievements in AUTM's global case studies alongside MIT and Stanford innovations.

• Water Resources Systems Management
• Groundwater and Surface Water Quality
• Saltwater Intrusion Control
• +۷ مورد دیگر

Bithin Datta is a Senior Lecturer in the Discipline of Civil Engineering at James Cook University (Australia), part of the College of Science and Engineering and the Division of Tropical Environments and Societies. He is affiliated with TropWATER (Centre for Tropical Waters and Aquatic Ecosystem Research), the Economic Geology Research Unit (EGRU) at JCU, and the CRC-for Contamination Assessment and Remediation of the Environment (CRC-CARE) at the University of Newcastle. Previously, he held Professor and Senior Professor positions at IIT Kanpur, India (1995-2009), and served as Head of the Civil Engineering Department and Head of the Postgraduate Environmental Engineering and Management Program. He has held Visiting Professorships at Dalhousie University (Canada), Denmark Technical University (Copenhagen), and the Asian Institute of Technology (Bangkok). Education: B.Tech (Hons) in Civil Engineering from IIT Kharagpur (India), Master’s degree in Civil Engineering (first rank in specialization), and a PhD in Civil Engineering from Purdue University (USA), specializing in Hydraulics and Systems Engineering. He is a Fellow of Engineers Australia (FIEAust). Research interests include water resources systems management, groundwater and surface water modeling, reservoir operation optimization, saltwater intrusion control, AI-driven environmental predictions, and ecological flow assessment. His work integrates simulation-optimization frameworks, machine learning (e.g., ANFIS, SVM), and hydraulic engineering principles to address contamination, climate change, and infrastructure challenges in tropical and coastal regions. His publications (178+ entries) focus on computational tools for groundwater contamination source identification, sustainable aquifer management, and reservoir environmental impacts. Notable projects include a $629,000 CRC-CARE-funded initiative for contamination monitoring networks and AI-based drought prediction models in tropical Queensland. Advising: Coordinated the Master of Engineering (Water Resources Management) at JCU and supervised over 30+ Master’s and 19 Ph.D. students across IIT Kanpur, JCU, and the University of South Australia. His research has been ranked #1 globally by ScholarGPS in Groundwater Pollution, Surrogate Models (AI/ML), and Saltwater Intrusion management. Labs/Teams: Core member of TropWATER, EGRU, and CRC-CARE, leading interdisciplinary projects on tropical water systems and geochemical contamination modeling in mine sites.

Bishnu Acharyaمشاهده پروفایل

دانشیار

• Bioprocess Engineering
• Biomaterials
• Nanocomposites
• +۷ مورد دیگر

Bishnu Acharya serves as an Associate Professor and Saskatchewan Ministry of Agriculture Chair in Bioprocess Engineering within the Department of Chemical and Biological Engineering at the University of Saskatchewan. His research program focuses on sustainable conversion of agricultural biomass into high-value products through advanced bioprocessing techniques, addressing critical environmental and energy challenges. His primary research domains include: Cellulose-based biomaterials and nanocomposites for biomedical and packaging applications Thermochemical conversion (pyrolysis, gasification) and biochemical processing of agricultural residues Engineered biochar systems for wastewater remediation and soil enhancement Integration of remote sensing and machine learning for precision agriculture optimization Development of biodegradable materials from flax, wheat straw, and camelina meal Analysis of his 2024-2025 publications reveals a strong interdisciplinary trajectory bridging chemical engineering, environmental science, and agricultural technology. Key thematic clusters involve circular economy implementation in biomass valorization, nanocellulose-based advanced material development, and sustainable wastewater treatment solutions. His work consistently emphasizes practical applications for Canadian agricultural systems, particularly in Saskatchewan and Prince Edward Island contexts. Professional Recognition: Saskatchewan Ministry of Agriculture Chair in Bioprocess Engineering While specific grant details are not publicly enumerated in available materials, Dr. Acharya's prolific output across high-impact journals indicates substantial research funding and active supervision of graduate students. His collaborations span environmental remediation, advanced materials development, and sustainable agricultural technologies, reflecting a systems-thinking approach to bioresource management. Laboratory infrastructure likely includes biomass processing units, nanomaterial characterization facilities, and bioreactor systems supporting his diverse research portfolio.

Silvia Rondonمشاهده پروفایل

استاد

• Integrated Pest Management
• Insect-Plant Interactions
• Biological Control
• +۲ مورد دیگر

Silvia Rondon is a Professor and Director of the Integrated Pest Management Center at Oregon State University (OSU), affiliated with the College of Agriculture and Department of Crop & Soil Science. She moved to OSU's Corvallis campus in September 2022 after extensive work in eastern Oregon. Education: PhD in Crop Sciences (2002), MS in Entomology (1999), BA in Biology/Zoology (1993) from Universidad Nacional Agraria La Molina (Peru) and University of Illinois. Research Focus: Ecological-based Integrated Pest Management for irrigated crops (potatoes, onions, corn, wheat) emphasizing insect ecology, biological/chemical control, and pest population dynamics. Her publications span potato psyllid management, zebra chip disease, wireworm genomics, and landscape-driven pest movement. Key awards include the Erasmus Teaching Award, Pacific Branch ESA Excellence in Extension, and multiple NACAA/OSU honors. She leads extension programs through on-farm demonstrations and train-the-trainer workshops, while mentoring graduate students in IPM research.

• Machine Learning
• Environmental Science
• Climate Science
• +۳ مورد دیگر

Professor Stephen Roberts holds the Royal Academy of Engineering / Man Group Chair in Machine Learning at the University of Oxford. He is affiliated with the Oxford-Man Institute and Somerville College. With a DPhil in machine learning and a physics background, his research spans environmental science, financial systems, and geophysics. He co-leads the Machine Learning Research Group and directs the EPSRC Centre for Doctoral Training in Autonomous, Intelligent Machines and Systems (AIMS). His academic journey includes prior faculty roles at Imperial College London before joining Oxford in 1999. Key research interests include tidal analysis using AI, climate modeling, geospatial data interpretation, and financial algorithm design. He has pioneered tools like RTide for coastal flooding prediction and developed machine learning frameworks for environmental and economic applications. Education: DPhil in Machine Learning, Physics undergraduate degree Affiliations: Oxford-Man Institute, Somerville College, EPSRC AIMS CDT Key Projects: SWOT mission data corrections, Antarctic bedrock mapping, carbon footprint reduction in ML His work bridges disciplines, applying ML to solve complex problems in climate science, finance, and geology. Awards include Fellowship of the Royal Academy of Engineering and IET. Current focus areas include improving climate model accuracy and fostering interdisciplinary training through the AIMS program.

• Transport Engineering
• Sustainable Transportation
• Traffic Management
• +۶ مورد دیگر

Dr. Ioannis Kaparias is an Associate Professor in Transport Engineering at the University of Southampton, affiliated with the Transportation Research Group (TRG). He holds a Master of Engineering from Imperial College London and a PhD from the same institution. His academic career includes roles at City, University of London, and postdoctoral research at Imperial College. He is a Fellow of Advance HE, a member of the Chartered Institute of Highways and Transportation (CIHT), and serves as Deputy Editor-in-Chief of the IET Intelligent Transport Systems journal. Education: MEng in Civil Engineering, Imperial College London (2004) PhD in Transport Engineering, Imperial College London (2008) Postdoctoral Researcher, Imperial College London (2008–2012) Research Interests: Efficient, safe, and sustainable land transport systems Highway and traffic management, including real-time routing and network reliability Active travel modes (cycling/pedestrian infrastructure) Public transport operations and optimization New transport technologies (CAVs, MaaS, EVs) Land use-transport interaction models Teaching: Highway & Traffic Engineering modules at Southampton Doctoral Programme Director (Training) in the School of Engineering Past roles include teaching at Imperial College London, City University London, and the University of East London External Roles: Member of US Transportation Research Board committees (Pedestrians/ACH10 and Human Factors/ACH40) Independent expert for the European Commission Speaker at international conferences (e.g., 'To share or not to share space? A very British tale', 2023)

• Earthquake Geology
• Tectonic Geomorphology
• Structural Geology
• +۳ مورد دیگر

Ramon Arrowsmith is a Professor at Arizona State University's School of Earth and Space Exploration (SESE). His research focuses on earthquake geology, tectonic geomorphology, and active faulting, with a particular emphasis on leveraging high-resolution topography through initiatives like OpenTopography. He has over 35 years of experience in paleoseismology, geomorphic mapping, and fault zone analysis. Arrowsmith has held administrative roles such as Deputy Director of SESE and associate directorships in graduate studies and geological sciences departments. His work integrates remote sensing, lidar technology, and robotics to address geological hazards and landscape evolution. Key projects include the QUAKES mission for topographic data collection and the development of low-cost seismic tools like ShakeBot. His research spans global regions, including the San Andreas Fault, Pamir-Tien Shan collision zone, and volcanic fields in Arizona and Mexico. Arrowsmith's recent publications highlight advancements in fault slip modeling, seismic hazard assessment, and open-access geospatial data platforms. His contributions to education include courses on field geology and computational methods in earth sciences. Collaborations with international teams and interdisciplinary projects underscore his commitment to advancing geoscience through innovation and accessibility.

Pascal Hitzlerمشاهده پروفایل

استاد

• Neurosymbolic Artificial Intelligence
• Semantic Web
• Knowledge Graphs
• +۷ مورد دیگر

Pascal Hitzler is a University Distinguished Professor and holds the endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science, Carl R. Ice College of Engineering. He directs the Center for Artificial Intelligence and Data Science (CAIDS) and the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, Karlsruhe Institute of Technology, and TU Dresden. His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology engineering. Education: PhD in Mathematics (2001, University College Cork), Diplom in Mathematics (1998, University of Tübingen). Academic achievements include over 400 publications, founding editor roles for journals like Neurosymbolic Artificial Intelligence , and leadership in organizations like the Neural-Symbolic Learning and Reasoning Association. Research interests include AI explainability, knowledge representation, and interdisciplinary applications of semantic technologies. He leads the DaSe Lab for Data Semantics, advancing projects like the KnowWhereGraph and Enslaved.org Hub Knowledge Graph. His work bridges symbolic AI with neural networks, emphasizing practical applications in agriculture, environmental science, and historical data preservation. Grants and collaborations span academic, industrial, and international partners. He has advised numerous students and researchers, contributing to both theoretical advancements and real-world semantic systems deployments.

Michael Changمشاهده پروفایل

مدرس ارشد

• Remote Sensing
• Geographic Information Systems (GIS)
• Vegetation Monitoring
• +۶ مورد دیگر

Dr. Michael Chang is a Senior Lecturer and Program Director of Spatial Information Sciences at Macquarie University's School of Natural Sciences. He specializes in remote sensing and GIS applications for environmental monitoring, including vegetation dynamics, land use change, and disaster mitigation. His affiliations include the Data Horizons, Smart Green Cities, and Lifespan Health and Wellbeing Research Centres. Research Interests: Earth observation data integration 3D modeling and change detection Biodiversity conservation and wetland monitoring Spatial analysis of multilingualism and transport planning Awards: 2017 BHERT Award for Outstanding Collaboration 2019 Faculty Teaching Excellence Award 2017 Research Excellence Recognition Projects: Leads multi-sensor fusion initiatives for vegetation monitoring and collaborates on disaster resilience frameworks. Active in interdisciplinary work spanning ecology, geophysics, and urban planning. Labs/Teams: Core member of Macquarie's Planetary Research Centre and collaborates internationally on port city resilience projects in Africa.