جست‌وجوی استاد و پژوهشگر

Raian Vargas Marettoمشاهده پروفایل

استادیار

• Remote Sensing
• Deep Learning
• Machine Learning
• +۱۰ مورد دیگر

Raian Vargas Maretto is an Assistant Professor in the Department of Earth Observation Science at the University of Twente. With a PhD in Applied Computing (2020) and an MSc in Remote Sensing (2011) from Brazil’s National Institute for Space Research (INPE), he couples deep-learning innovation with large-scale geospatial data to monitor land-use dynamics, urban deprivation and forest loss. Education: PhD Applied Computing, INPE (2020) MSc Remote Sensing, INPE (2011) BSc Computer Science, Federal University of Ouro Preto (2008) His research integrates computer vision, machine-learning and data-mining techniques with multi-sensor satellite imagery to derive actionable geographic information. Core interests encompass remote-sensing image analysis, sensor fusion, pattern recognition, GIS development, land-cover & vegetation mapping, and AI-based environmental monitoring . Across 35 recent outputs, three dominant strands emerge: (i) deep-learning architectures for semantic segmentation of deprived urban areas and Cerrado vegetation; (ii) energy-balance and vegetation-index approaches for crop evapotranspiration estimation; and (iii) space-education analytics that map European curricula to foster a sustainable space workforce. These works increasingly couple open-data philosophies with transparent AI to support SDG targets. Software & Systems: Maretto has contributed to TerraLib, TerraView, TerraME, GeoDMA and the DeepGeo package, championing open-source GIS tools. Field & Policy Engagement: He served as visiting researcher at the Ethiopian Space Science & Geospatial Institute (2022 & 2023) and has given media interviews on AI-powered deforestation monitoring.

Kurt Deckerمشاهده پروفایل

پژوهشگر

• Active Tectonics
• Earthquake Geology
• Structural Geology
• +۴ مورد دیگر

Kurt Decker serves as a scientific employee at the Institute of Geology within the Faculty of Geosciences, Geography and Astronomy at the University of Vienna. With a doctorate in geology, he maintains an active research and teaching profile, supervising multiple MSc students and leading numerous research projects funded by institutions including FFG, Wien Energie, and NAGRA. His office is located in room 2A346, and he can be reached at +43-1-4277-53437. Dr. Decker specializes in Active Tectonics, Earthquake Geology, Applied Structural Geology and Tectonics, and Alpine Tectonics . His research focuses on understanding fault zone mechanics, seismic hazard assessment, and the hydrogeological properties of faults in carbonate rocks. He has made significant contributions to the study of the Vienna Basin Transfer Fault System, Alpine-Carpathian junction dynamics, and the stress field in the Eastern Alps. His work often employs multidisciplinary approaches combining field observations, seismic data, and borehole analysis. Analysis of Dr. Decker's recent publications reveals a strong focus on strike-slip fault systems , seismic hazard assessment , and fault zone hydrology . His research spans from microstructural investigations of rock deformation to regional-scale tectonic analyses. Key themes include the interaction of different deformation mechanisms in fault zones, the temporal evolution of seismicity, and the quantification of active tectonic processes in the Alpine region. His most recent work extends to 3D seismic interpretation and the study of fractured basement hydrocarbon reservoirs. Wilhelm-Ritter-von-Haidinger-Medal (2009) Dr. Decker has successfully secured substantial project funding, including the FFG/NiMBUC project on fracture discrimination in deep boreholes (2021-2023), multiple Wien Energie projects on geothermal energy exploration in Vienna (2018-2022), and various collaborations with Wiener Wasser on hydrogeological properties of faults. He has supervised 11 MSc students and regularly teaches courses including Strukturgeologie und Tektonik (Bachelor), Quantitative Strukturgeologie und Tektonik II (Master), and Active Tectonics. His research integrates field work, laboratory analysis, and numerical modeling, with particular emphasis on the application of structural geological methods to practical problems including nuclear waste repository siting, geothermal energy exploration, and seismic hazard assessment in the Alpine region.

• Power Electronics
• Electrical Traction Systems
• Electromagnetic Compatibility
• +۳ مورد دیگر

Dr. Eng. Bartosz Piotr Woszczyna is a Lecturer at the Department of Electrical Engineering within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. His research focuses on optimizing electrical traction systems and power electronics, with emphasis on real-world applications in urban transportation infrastructure. Research Interests: His work spans power quality, semiconductor technologies, and electromagnetic compatibility in traction systems. Primary areas include: Switching loss reduction in multilevel inverters Harmonics analysis in tramway power grids SiC transistor applications for high-efficiency converters Load variability modeling in traction substations EMC solutions for power electronics Voltage stability in on-board vehicle networks Publication Trends: His 14 recent publications demonstrate consistent focus on empirical solutions for tram traction systems. Dominant themes include experimental validation of SiC-based converters, measurement of harmonic distortions in traction networks, and optimization of substation load distribution. Collaborative works frequently address practical engineering challenges in urban rail transport.

Brent T. Langhalsمشاهده پروفایل

دانشیار

• Data Analytics
• Database Systems
• Human-Computer Interaction
• +۳ مورد دیگر

Dr. Brent T. Langhals serves as Associate Professor of Information Resource Management at the Air Force Institute of Technology (AFIT), Department of Systems and Engineering Management, Wright-Patterson AFB, OH. He directs the AFIT Data Analytics Program and chairs the Information Systems specialization curriculum, actively contributing to defense-focused research and graduate education. Education: Ph.D. in Management - Management Information Systems Concentration (minor: Systems and Industrial Engineering), University of Arizona, Eller College of Management (2011). Dissertation: "Using Eye and Head Based Psychophysiological Cues to Enhance Screener Vigilance" M.S. in Information Resource Management, Air Force Institute of Technology (2001). Thesis: "The Effect of Varying Arousal Methods upon Vigilance and Error Detection in an Automated Command and Control Environment" B.S. in History, United States Air Force Academy (1995) Research Focus: Dr. Langhals' work integrates data analytics , database systems , and human-computer interaction with systems engineering principles. His investigations into psychophysiological cues and operator vigilance bridge cognitive science with defense applications, yielding practical solutions for security screening, aviation interfaces, and military decision-making. Current projects emphasize machine learning for predictive analytics in high-stakes environments. Publication Trends: Recent work demonstrates interdisciplinary reach across defense logistics (F-22 sortie cancellations, construction contracts), public health (marijuana use, food insecurity), and emerging technologies (UAS applications, NoSQL databases). His scholarship consistently applies data science to military challenges while advancing fundamental research in human factors and database engineering. Scientific Recognition: Two-time Sigma Iota Epsilon Instructor of the Year (2024, 2018) Department Educator of the Year (2013) Multiple Air Force commendations including Field Grade Officer of the Quarter (2008, 2006) Mentorship & Leadership: Dr. Langhals has graduated 59 Master's/PhD students (38 residential, 21 distance learning) while teaching core courses in Database Systems, Data Analytics, and Strategic Information Management. His research leadership spans contracts in data management, systems engineering, and human performance optimization for Department of Defense applications. Research Infrastructure: As Data Analytics Program Director, he oversees AFIT's research ecosystem for defense data science, coordinating faculty and resources across the Department of Systems and Engineering Management to develop next-generation analytical capabilities for Air Force missions.

Tala Maria Aabøمشاهده پروفایل

استادیار

• Fracture Analysis
• Subsurface Temperature Modelling
• Seismic Interpretation
• +۳ مورد دیگر

Tala Maria Aabø serves as Assistant Professor in the Department of Geosciences and Natural Resource Management at the University of Copenhagen's Faculty of Science, specializing in geological and geophysical reservoir characterization with emphasis on chalk formations and subsurface temperature dynamics. Education: PhD in Geoscience (2018-2023), University of Copenhagen: "Fractures and their influence on Fluid Flow in Chalk" Master of Science in Sedimentary Basins (2013-2015), University of Copenhagen: "Modelling of Subsurface Temperatures - An Investigation of Bottom Hole Temperatures in the Norwegian North Sea" Research Focus: Dr. Aabø's work integrates digital outcrop modeling , ground penetrating radar , and seismic interpretation for fracture characterization in onshore (Rørdal Quarry) and offshore (Kraka Field) chalk reservoirs. Her temperature modeling research develops empirical equations for static formation temperature correction using bottom hole data, supported by key competencies in data integration , workflow development , and scenario analysis . Publication Trends: Her 2016-2023 outputs reveal concentrated expertise in chalk reservoir fracture networks and North Sea temperature modeling, featuring innovative methodologies like ant-tracked RGB seismic for structural enhancement and DFM algorithms for dynamic fracture simulation. Awards: No scientific awards documented in source materials. Advising & Grants: Available text provides no details regarding student supervision or research funding. Collaborative Projects: Currently concluding the "Chalk Outcrop Analogue Potential" work package (AWF1) with DTU Offshore/Danish Underground Consortium, building on prior work with Kraka, Dan, and Halfdan fields in the Danish North Sea.

Lingxiao Jiangمشاهده پروفایل

دانشیار

• Software Engineering
• Program Analysis
• Software Testing & Debugging
• +۵ مورد دیگر

Lingxiao Jiang is an Associate Professor at the School of Computing and Information Systems (SCIS) at Singapore Management University (SMU) in Singapore. His research and teaching interests focus on software engineering, program analysis, testing & debugging, code search & reuse, and deep learning & analysis of code. He is actively involved in multiple research tracks across major software engineering conferences including ASE, ICSE, ESEC/FSE, and MSR. His research interests encompass practical techniques and tools that enhance software quality, increase development productivity, reduce maintenance cost, and improve user experience. He also explores programming languages, systems, security & privacy, data mining, and machine learning to solve software engineering and security problems. His work focuses on context-aware software mining, analysis, and deep learning, with applications in code clone detection, code query processing, bug detection, search for bug fixes, refactoring, and testing & debugging techniques. Professor Jiang's research involves large-scale, diverse, contextual data sources beyond program code, including code change histories, bug databases, test suites, developer activities, user feedbacks, and socio-technical information. His methodology leverages static & dynamic program analysis, code representations, software engineering methodologies, natural language processing, information retrieval, data mining, deep learning, and distributed computing techniques. His research has resulted in numerous publications with significant impact, including the DECKARD tool which received the ACM SIGSOFT Impact Paper Award in 2018. His work spans various areas including scalable code clone detection, deep learning of code, and analysis of software repositories. Scientific Awards: ACM SIGSOFT Impact Paper Award 2018 for DECKARD paper ICSE '18 Distinguished Paper Award for Hierarchical learning of cross-language mappings Professor Jiang actively advises graduate students and has mentored numerous PhD and Master's students to completion. He also leads the Centre for Research on Intelligent Software Engineering (RISE) at SMU, which focuses on high-quality and impactful research in intelligent software engineering. His research has practical applications in various domains including Android security, smart contracts, drone security, and compiler testing.

Paula Sticklesمشاهده پروفایل

استاد

• Mathematics Education
• College Algebra Instruction
• Secondary Mathematics Methods
• +۳ مورد دیگر

Paula Stickles serves as a Professor of Mathematics at Millikin University within the School of Mathematics & Computational Sciences, where she focuses on advancing pedagogical practices in mathematics education through rigorous scholarship and classroom innovation. Her research centers on mathematics education , with particular expertise in college algebra instruction, secondary mathematics methods, and teacher development. Key investigations include the efficacy of online homework systems, textbook necessity in foundational courses, authentic teaching experiences for pre-service educators, and the integration of technology in mathematics instruction. Her work consistently addresses practical challenges in mathematics teaching across secondary and post-secondary contexts, emphasizing evidence-based approaches to curriculum design and assessment. Analysis of her 14 publications (2006-2017) reveals a cohesive research trajectory focused on improving mathematics instruction through empirical studies of teaching tools, resource allocation, and pedagogical strategies. Her scholarship spans methodological diversity—from Markov chain analyses of games to semiotic examinations of classroom culture—while maintaining practical relevance for mathematics educators. Dr. Stickles has no documented scientific awards in the provided materials. Her professional contributions appear centered on teaching excellence and educational research rather than competitive grant funding or graduate student supervision, as no such activities are referenced in available sources.

Amit V. Deokarمشاهده پروفایل

استاد

• Business Analytics
• Business Process Management
• Machine Learning
• +۵ مورد دیگر

Amit V. Deokar serves as Associate Dean of Undergraduate Programs & Accreditation and Professor in the Department of Operations and Information Systems at UMass Lowell's Manning School of Business. He holds a Ph.D. in Management Information Systems from the University of Arizona and brings expertise from industrial and mechanical engineering backgrounds. His educational credentials include: Ph.D. in Management Information Systems, University of Arizona (2006) M.S. in Industrial Engineering, University of Arizona (2002) B.S. in Mechanical Engineering, V.J. Technological Institute, University of Mumbai (2000) Dr. Deokar's research centers on business analytics, machine learning applications, and business process management, with significant contributions to data mining, text mining, and artificial intelligence. His work bridges theoretical frameworks with practical implementations across healthcare, e-commerce, and transportation sectors, emphasizing real-world impact through industry collaborations and consulting engagements. His publication portfolio reveals a strategic focus on extracting actionable insights from complex data sources, particularly through process mining and text analytics. Recent work demonstrates increasing integration of generative AI techniques while maintaining strong methodological rigor in empirical validation. Key recognitions include: AIS Distinguished (cum laude) Member (2020) Association for Information Systems Teaching Excellence Award (2020) UMass Lowell IBM Faculty Award (2014) IBM Merill D. Hunter Award for Excellence in Research (2010) Dakota State University recognition As Associate Vice President of Technology for the Association for Information Systems, Editor-in-Chief of e-Service Journal, and leader of major conferences like AMCIS 2024, Dr. Deokar shapes academic discourse while securing research funding such as the 2017 Internal Seed Grant for urban transportation analytics. His industry consulting and keynote presentations on generative AI adoption further demonstrate applied scholarship.

Simon Queenboroughمشاهده پروفایل

مدرس ارشد

• Plant Population Dynamics
• Tropical Forest Ecology
• Species Coexistence
• +۴ مورد دیگر

Simon Queenborough is Senior Lecturer and Musser Director of the Tropical Resources Institute at Yale School of the Environment. His botanical ecology research examines interactions among individuals, species, and communities in ecological and evolutionary time, with long-term field studies in Yasuní National Park, Ecuador – one of Earth's most biodiverse ecosystems. His work investigates mechanisms of diversity maintenance, plant breeding systems, resource allocation trade-offs, and quantitative population dynamics. Current projects assess climate change impacts on tropical tree reproduction and pioneer species growth. He teaches tropical field courses, statistical analysis in R, and data visualization. As TRI Director, he oversees summer research support for YSE students. He developed intro2r.info, an online resource for teaching R programming. Research combines field demography, phylogenetic comparative methods, and socio-ecological modeling to address conservation challenges.

• Graph Neural Networks
• Geometric Deep Learning
• Non-Euclidean Foundation Models
• +۳ مورد دیگر

Rex Ying is an Assistant Professor in the Department of Computer Science at Yale University's School of Engineering & Applied Science. His research focuses on developing expressive, scalable, and explainable algorithms for graph-structured data through graph neural networks and geometric learning. His work spans graph learning applications in recommender systems, anomaly detection, social network analysis, protein networks, drug discovery, and physical simulations. Key research thrusts include Non-Euclidean Foundation Models , Geometric Deep Learning , and Explainable AI for graph representations, with recent emphasis on hyperbolic geometry for hierarchical data modeling. Recent publications reveal strong trends in foundation models for scientific discovery (particularly spatial biology), hyperbolic adaptations of LLMs , and multimodal integration for biomedical applications. His lab actively bridges theoretical geometric learning with real-world applications in biology and physics. Baidu Scholarship 2019 Area Chair for LoG 2022 Conference Blue Sky Best Paper Award at ACM KDD 2025 NSF core program award on foundation models for scientific discovery Ying leads the Graph and Geometric Learning Lab, which develops open-source tools like PyTorch Geometric. He actively recruits PhD students for research on GNN frontiers, theoretical studies of graph learning, and applications in social/natural sciences. Recent grants include NSF funding for scientific foundation models and industry collaborations with Amazon/Ericsson. The lab maintains strong industry partnerships with telecom (Ericsson), healthcare (spatial omics), and social platforms, while organizing key workshops like Non-Euclidean Foundation Models at WebConf 2025 and Graph Signal Processing at GSP 2025.

Tom Dunkley Jonesمشاهده پروفایل

پژوهشگر ارشد

• Micropaleontology
• Paleoceanography
• Paleoclimatology
• +۳ مورد دیگر

Dr. Tom Dunkley Jones is a Birmingham Fellow in the School of Geography, Earth and Environmental Sciences at the University of Birmingham. His research focuses on micropaleontology and paleoceanography, specializing in fossil coccolithophore algae to study warm-climate states of the Paleogene period. He uses coccolithophore assemblages and geochemical proxies to reconstruct past oceanographic conditions and improve temperature proxy data for climate modeling. Education: PhD (University College London, 2008), MSc (Imperial College London, 2001), MSci/MA (University of Cambridge, 2000). Research interests include improving reconstructions of warm climate data and their application in palaeoclimate models. He has participated in IODP Expeditions 320 and 363, and is lead proponent for Expedition 388 (Equatorial Atlantic Gateway). Key research areas: Paleogene climate states, coccolith Sr/Ca ratios as productivity proxies, and Eocene/Oligocene transitions. Supervises PhD projects on coccolith-based proxies and microplankton diversity. Active in IODP expeditions, contributing to studies on ocean gateways and deep-water circulation. Labs/Teams: Part of the Palaeoclimatology and Paleoceanography research group. Collaborates on projects like the Tanzanian Drilling Project and West Pacific Warm Pool studies.

• Software Engineering
• Artificial Intelligence
• Requirements Engineering
• +۶ مورد دیگر

Timo Poranen is a Lecturer at Tampere University's Faculty of Information Technology and Communication Sciences in the Department of Computing Sciences. He focuses on software engineering practices, artificial intelligence applications, and educational technology development. His research spans: AI integration in software development workflows Accessibility and usability in digital platforms Requirements engineering methodologies Collaborative software project management Algorithmic graph theory DevOps and cloud-native systems Recent work examines AI-driven assessment tools, accessibility testing frameworks, and networked educational practices in Finland. He contributes to capstone project guidance and teaches software development fundamentals. Key trends in his 2023-2025 publications: AI-assisted coding patterns Accessibility evaluation metrics Service desk optimization Open-source project dynamics Cloud system monitoring

David Hemprich-Bennettمشاهده پروفایل

پژوهشگر

• Tropical Ecology
• DNA Metabarcoding
• Ecological Network Analysis
• +۴ مورد دیگر

Dr David Hemprich-Bennett is a Postdoctoral Researcher in the Department of Biology at the University of Oxford, where he employs DNA metabarcoding to investigate ecological networks in tropical ecosystems. His research addresses human impacts including selective logging in Borneo and malaria vector removal in Ghana, focusing on biodiversity responses and ecosystem function across terrestrial and aquatic habitats. His core research interests span tropical ecology, DNA metabarcoding methodology, and ecological network analysis. He examines how anthropogenic disturbances alter species interactions—particularly bat dietary ecology in degraded forests—and assesses cascading effects of vector control on ecological communities. His work integrates field ecology with molecular techniques to inform conservation strategies for human-modified landscapes. Analysis of his 15 publications (2018-2025) reveals consistent focus on tropical forest degradation impacts, with methodological innovations in dietary analysis and network construction. Key themes include biodiversity thresholds for conservation, oil palm landscape management, and microclimate ecology, demonstrating applied relevance for sustainable land-use planning and vector control initiatives. At Oxford, Dr Hemprich-Bennett collaborates with a multidisciplinary team studying ecological consequences of Anopheles gambiae removal in Ghana, utilizing metabarcoding to map cross-ecosystem interactions and potential biodiversity trade-offs.

Douglas Parryمشاهده پروفایل

استادیار

• Digital Media Use
• Cognitive Psychology
• Mental Health
• +۷ مورد دیگر

Douglas Parry is an Assistant Professor in the Department of Communication Science at Vrije Universiteit Amsterdam, affiliated with the Media Psychology Group. He holds a PhD in Socio-Informatics from Stellenbosch University and previously served as a Senior Lecturer there. His research focuses on adolescents' digital media use, its cognitive and mental health impacts, and strategies for thriving in digital societies. He employs quantitative methods like longitudinal surveys, experiments, and computational techniques (NLP, machine learning), emphasizing open science through pre-registration and data sharing. Parry teaches courses including Problematic Media Effects and Media Psychology for Impact. His ancillary roles include External Associate Researcher at the Weizenbaum Institute (Berlin) and External Research Associate at Stellenbosch University. His work spans 30+ articles in top journals like Nature Human Behaviour and JAMA Pediatrics , addressing topics such as media multitasking, API accessibility challenges, and systematic reviews on social media effects. Key research themes include digital well-being, open science practices, and methodological rigor. His recent work critiques platform-controlled social media APIs and explores discrepancies between self-reported and logged media use. Collaborations span global institutions, reflecting his interdisciplinary approach to media psychology and computational communication science.

John Staskoمشاهده پروفایل

استاد

• Data Visualization
• Information Visualization
• Human-Computer Interaction (HCI)
• +۳ مورد دیگر

John Stasko is a Regents Professor in the School of Interactive Computing at the Georgia Institute of Technology, where he has been on the faculty since 1989. He also serves as an Adjunct Professor in the School of Computing Instruction. His primary research focuses on data visualization , information visualization , and visual analytics from a human-computer interaction (HCI) perspective. He has held leadership roles such as Interim School Chair of Interactive Computing (2021–2022) and General Chair of IEEE VIS 2013. Education: B.S. in Mathematics, Bucknell University (1983) M.Sc. and Ph.D. in Computer Science, Brown University (1985, 1989) Research Interests: John leads the Information Interfaces Research Group , emphasizing tools for data exploration and sense-making. His work includes visual analytics systems, peripheral awareness interfaces, and flexible interaction paradigms. Notable contributions include the Jigsaw system for document analysis and ROBIN for migration data visualization. Awards & Recognition: 2023: IEEE VGTC Visualization Lifetime Achievement Award 2014: IEEE Fellow 2012: IEEE VGTC Visualization Technical Achievement Award ACM Distinguished Scientist (2011) ACM CHI Academy & IEEE Visualization Academy memberships Advising & Teaching: John has advised over 20 PhD students and teaches courses like CS 6730: Data Visualization and CS 1331: Intro to Object-Oriented Programming . He emphasizes accessible, user-centered design in both research and education. Affiliations: GVU Center Institute for People and Technology (IPaT) Adjunct Faculty at School of Computing Instruction Member, University of St. Andrews Honorary Faculty (2013)