جست‌وجوی استاد و پژوهشگر

Furqan Hussainمشاهده پروفایل

دانشیار

• Petroleum Engineering
• Carbon Sequestration
• CO2 Geosequestration
• +۲ مورد دیگر

Associate Professor Furqan Hussain is a distinguished academic at the University of New South Wales, Faculty of Engineering, specializing in petroleum engineering and carbon sequestration research. Based in the Tyree Energy and Technology Building at the Kensington Campus, he leads cutting-edge research in CO 2 geosequestration and enhanced oil recovery techniques. PhD in Petroleum Engineering from the University of New South Wales, Sydney, Australia BSc and MSc in Petroleum Engineering from the University of Engineering & Technology, Lahore, Pakistan Professor Hussain's research focuses on CO 2 geosequestration in aquifers and hydrocarbon reservoirs, with particular emphasis on enhancing feasibility in heterogeneous and low-pressure formations. His groundbreaking work includes the discovery of water-saturated CO 2 injection into oil reservoirs to simultaneously improve oil recovery and CO 2 storage capacity. His expertise spans petroleum engineering, carbon capture utilization and sequestration (CCUS), and laboratory investigation of CO 2 injection processes. His recent publications demonstrate a strong focus on addressing mobility control challenges in high-pressure reservoirs, pore heterogeneity effects in carbonate rocks, and fines migration phenomena during water injection. These works represent significant contributions to both petroleum engineering and environmental sustainability through carbon management. Professor Hussain is actively involved in research supervision, focusing on experimental investigation of CO 2 injectivity and trapping, co-optimization of CO 2 storage and oil recovery, and related areas including CO 2 -water wettability and trapping mechanisms. A spatio-temporal partitioning approach to colloidal flows in porous media (Australian Research Council / Discovery Project, 2020-2022) Multiscale physics for enhanced oil recovery (University of Adelaide / ARC Linkage Project, 2020-2023) Low Salinity Fines-Assisted Waterflooding (Wintershall Holding Gmbh, 2019-2021) EOR assessment phase-1 (Bridgeport Energy Limited, 2019-2021) Core testing – Boggabri Mine (Boggabri Coal Operations, 2019-2020) He teaches core petroleum engineering courses including PTRL 3001 Reservoir Engineering B and PTRL3040 Numerical Reservoir Simulation, integrating his research expertise into the classroom while exploring innovative teaching methods to enhance student engagement in engineering education.

Søren Wengel Mogensenمشاهده پروفایل

دانشیار

• Causal Inference
• Stochastic Processes
• Survival Analysis
• +۳ مورد دیگر

Søren Wengel Mogensen is an Associate Professor at the Department of Finance, Copenhagen Business School, Denmark. His research focuses on developing advanced statistical and machine learning methodologies for complex systems analysis. Research Interests: Dr. Mogensen's work spans causal inference, stochastic processes, survival analysis, and time-series modeling. Key themes include: Causal discovery algorithms for industrial and biological systems Graphical representations of dependencies in high-dimensional data Time-varying mediation in survival contexts Bayesian networks for cascade modeling Publication Trends: His recent articles (2021-2025) demonstrate a strong emphasis on theoretical-statistical innovation with applications in healthcare, industrial monitoring, and computational finance. Dominant methodologies include kernel-based independence tests, continuous-time Bayesian networks, and constrained stochastic process modeling.

Miracle Amadiمشاهده پروفایل

پژوهشگر ارشد

• Computational Epidemiology
• Mathematical Modeling of Infectious Diseases
• Bayesian Statistics
• +۳ مورد دیگر

Miracle Amadi is a Postdoctoral Researcher (Research Fellow) in the Department of Computational Engineering at the School of Engineering Sciences, Lappeenranta-Lahti University of Technology (LUT University), Finland. Amadi's research focuses on developing and applying computational and statistical models to study infectious disease dynamics, including malaria, HIV, dengue, and COVID-19, with a particular emphasis on the impact of environmental factors and intervention strategies. Amadi's research interests span computational epidemiology, mathematical modeling of infectious diseases, Bayesian statistics, and public health. Their work integrates advanced statistical techniques such as Bayesian model selection, parameter estimation, and uncertainty quantification with epidemiological data to address critical public health challenges. Recent projects have examined the relationship between meteorological factors and disease incidence, the evolution of insecticide resistance in malaria vectors, and the effectiveness of non-pharmaceutical interventions during the COVID-19 pandemic. Analysis of Amadi's recent publications (2018-2025) reveals a strong trend in applying hybrid modeling approaches, including agent-based and spatio-temporal models, to complex epidemiological problems. A significant portion of the work focuses on malaria, with additional contributions to HIV, dengue, lumpy skin disease, and COVID-19. The research consistently emphasizes the role of environmental and climatic factors in disease transmission and the evaluation of control strategies, demonstrating a commitment to data-driven public health decision-making.

Jingwei Jiمشاهده پروفایل

عضو هیئت علمی

• Human Activity Understanding
• Video Analysis
• 3D Vision
• +۲ مورد دیگر

Jingwei Ji is a Research Scientist at Waymo LLC, specializing in computer vision and machine learning. He holds a Ph.D. in Electrical Engineering from Stanford University, where he was co-advised by Prof. Juan Carlos Niebles and Prof. Silvio Savarese, and a B.Sc. in Physics from Peking University. Education Ph.D. in Electrical Engineering, Stanford University B.Sc. in Physics, Peking University His research focuses on human activity understanding , video analysis , 3D vision , and scene graph modeling . He pioneered the Action Genome dataset, which bridges human actions and human-object relationships through spatio-temporal scene graphs. Jingwei's recent publications emphasize temporal alignment in few-shot learning, semantic segmentation of actors/actions, and 3D shape reconstruction. His work spans both theoretical advancements and practical applications in autonomous systems. Academic services include serving as a reviewer for top-tier conferences like CVPR, ICCV, AAAI, and journals including The Visual Computer. He organized workshops at CVPR 2020 and ECCV 2020 on compositional perception. Previously, he worked as an Applied Scientist Intern at Amazon Go (2018) and contributed to open-source projects like ActionGenome, a Python-based video dataset framework under MIT license.

• Measurement
• Applied Research Methodology
• Theoretical Research Methodology
• +۷ مورد دیگر

Edward Kroc is an Associate Professor in the Department of Educational and Counselling Psychology, and Special Education at the University of British Columbia (UBC), Faculty of Education. He joined UBC in 2018 as part of the Measurement, Evaluation, and Research Methodology (MERM) program. His work bridges statistical theory, psychometrics, and ecological applications. Ph.D., Mathematics, University of British Columbia (2015) M.Sc., Applied Mathematics in Statistics, DePaul University (2007) B.Sc., Mathematics, DePaul University (2006) Kroc's research focuses on generalized measurement error, causal inference, and spatio-temporal modeling, with applications to urban ecology (e.g., gull populations) and psychometric validity. His methodological work challenges traditional assumptions in educational measurement and regression analysis. Recent publications highlight his interdisciplinary approach, combining statistics, ecology, and psychology. Key trends include the development of robust measurement frameworks, Bayesian methods for ecological data, and methodological critiques of reliability estimation techniques. Edward Kroc actively supervises graduate students in the Measurement, Evaluation and Research Methodology program and collaborates on interdisciplinary research projects and grants.

Julie-Anne Akiko Tangenaمشاهده پروفایل

پژوهشگر

• Medical Entomology
• Vector Control
• Malaria
• +۵ مورد دیگر

Dr Julie-Anne Akiko Tangena is a public health entomologist affiliated with the Liverpool School of Tropical Medicine (LSTM), Lancaster University, and Malawian institutions. Her work focuses on mosquito surveillance and vector control for malaria and arboviral disease prevention. Education : Biology BSc and MSc from Wageningen University and Research; PhD from Durham University. Her research explores innovative entomological surveillance tools to enhance vector control efficiency in resource-limited settings. She specializes in spatio-temporal patterns of insecticide resistance and risk assessment for vector-borne diseases in rural occupational environments like rubber plantations. Recent work includes collaborations with Oxford University and development of field evaluation frameworks for mosquito protection methods. Scientific achievements include an MRC Skills Development Fellowship (2019) and publications in journals such as Parasites & Vectors and PLoS One . Her career spans 8 years across Asia (Lao PDR) and Africa (Côte d’Ivoire, Malawi), with a focus on improving vector control through practical research.

Andreas Rienowمشاهده پروفایل

استادیار

• Geospatial Analysis
• Urban Remote Sensing
• Geoinformation Science
• +۶ مورد دیگر

Andreas Rienow serves as Junior Professor for Interdisciplinary Geoinformation Sciences at Ruhr University Bochum, where he also holds the position of Designated Managing Director of the Institute of Geography since 2024 and Scientific Director of the Interdisciplinary Center for Geoinformation since 2020. His academic journey began with studies in Geography, Modern History and Modern German Literature at the University of Bonn, culminating in a Magister Artium degree, followed by a doctorate in 2014 on urban sprawl modeling. Dr. Rienow's research centers on spatio-temporal analysis of metropolitan transformation, interdisciplinary geodata integration, real-time geoinformation analysis, innovative earth observation education methods, and ISS-based remote sensing. His work bridges technical geospatial approaches with urban planning challenges, particularly in post-conflict settings, climate adaptation, and sustainable development contexts across diverse geographical regions including Europe, Africa, and the Middle East. His recent publication portfolio demonstrates a clear trajectory toward increasingly sophisticated integration of machine learning with geospatial analysis, focusing on urban heat islands, land use change, post-conflict urban recovery, and sustainable development monitoring. The research spans multiple continents with particular emphasis on applying advanced remote sensing techniques to pressing urban challenges in both developed and developing contexts. As an educator, Rienow has supervised over 40 master's theses, numerous bachelor's projects, and currently mentors 8 doctoral candidates working on topics ranging from urban climate adaptation to innovative geospatial education methods. His leadership extends to directing the Interdisciplinary Center for Geoinformation and participating in international collaborations such as the Transdisciplinary Center for Coupled Socio-Ecological Systems at Universidad del Azuay in Ecuador. His laboratory work focuses on the Geomatics Group within the Institute of Geography, where his team develops innovative approaches to urban remote sensing, spatial modeling, and citizen science applications for metropolitan analysis. The group actively engages in both theoretical methodological development and practical applications addressing contemporary urban challenges.

Ines Langerمشاهده پروفایل

پژوهشگر

• Urban Climate
• Meteorological Extremes
• Climate Modeling
• +۳ مورد دیگر

Dr. Ines Langer is a researcher at the Institute of Meteorology , Department of Geosciences, Free University of Berlin , specializing in urban climate and meteorological extreme events. She contributes to projects like ClimXtreme and Urban Climate in Transition - 3DO+M , focusing on microclimate simulations, thermal comfort, and climate change impacts on urban environments. Her research spans climate modeling, human thermal comfort in Local Climate Zones, extreme weather event analysis, and applications of tools like PALM-4U and ENVI-Met . She collaborates on interdisciplinary topics such as green space benefits for pedestrian comfort, urban flooding risks, and health-climate linkages. Recent publications address 2m temperature and humidity measurements for model validation statistical modeling of emergency responses to extreme precipitation spatio-temporal variability in urban climates urban heat island dynamics during heatwaves Her work integrates geospatial analysis, environmental health, and climate adaptation strategies.

Alejandro Omar Blenkmannمشاهده پروفایل

پژوهشگر

• Predictive Processing in Neuroscience
• Auditory Sensory Domain
• Neuronal Network Modeling
• +۴ مورد دیگر

Alejandro Omar Blenkmann is a Researcher at the RITMO Centre for Interdisciplinary Research on Rhythm, Time and Movement , Department of Psychology, University of Oslo. His work focuses on brain prediction mechanisms, auditory sensory processing, and intracranial electrode localization. He holds a PhD in Engineering (2012) from the National University of La Plata, Argentina, and has academic affiliations with institutions in Norway, Argentina, and the United Kingdom. Education: PhD in Engineering (2012) - National University of La Plata MSc in Biomedical Engineering (2007) - Favaloro University BSc in Engineering (2004) - Favaloro University Research Interests: Neuronal networks in auditory prediction Intracranial recordings (ECoG/SEEG) Frontal lobe role in prediction iElectrodes open-source toolbox development Collaborations: University of Cambridge University of California, Berkeley International Biomedical Cooperation Network

Michele Loretiمشاهده پروفایل

استاد

• Formal methods
• Concurrency theory
• Distributed systems
• +۴ مورد دیگر

Michele Loreti is Full Professor in Computer Science at the University of Camerino within the School of Science and Technology and serves as Director of the School of Advanced Studies. His career includes roles as Research Associate at University of Firenze (2002-2017) and Visiting Professor at IMT Institute for Advanced Studies (2012-2016). He holds a PhD in Mathematical Logic and Theoretical Computer Science from University of Siena (2001) and a Computer Science degree from University of Rome 'La Sapienza' (1997). Research interests: Formal tools for concurrent/distributed systems Quantitative analysis of collective adaptive systems Spatio-temporal model checking Process calculi and modal logics Programming languages for network-aware applications Runtime verification and dynamic system adaptation Article trends: His work focuses on formal verification of cyber-physical systems, spatio-temporal properties, stochastic process calculi, attribute-based communication, and tools like CARMA and muG for collective system analysis. Editorial roles: Assistant editor for Elsevier Journal on Logical and Algebraic Methods in Programming and member of the Reproducibility Board for ACM Transactions on Modelling and Computer Simulation.

Betül Bulutمشاهده پروفایل

استادیار

• Industrial Engineering
• Data Analytics
• Fraud Detection
• +۵ مورد دیگر

Betül Bulut is an Assistant Professor in the Department of Industrial Engineering at Beykent University , Turkey. She teaches courses such as Technical English , Enterprise Resource Planning , and Engineering Economics , combining industrial engineering principles with applied analytics. Research Focus Her research spans fraud detection , ergonomic risk assessment , healthcare process optimization , and retail analytics . She employs machine learning and simulation modeling to address spatio-temporal patterns in banking fraud, hospital workflows, and retail product clustering. Publication Trends Recent work emphasizes unsupervised learning for ATM fraud detection and multi-agent systems in healthcare. Earlier studies focus on analytical network processes for software selection and ergonomic risk evaluation in occupational safety.

Craig Robertsonمشاهده پروفایل

مدرس

• Benthic Ecology
• Marine Biodiversity
• Ecosystem Functioning
• +۷ مورد دیگر

Dr. Craig Robertson is a Lecturer in Marine Biology at the School of Ocean Sciences, Bangor University. He holds a PhD in Macrofaunal Diversity and Functioning within Submarine Canyons (2018), an MSc in Marine Environmental Protection (2008), and a BSc in Applied Marine Biology (2007), all from Bangor University. His career includes commercial marine science experience as a benthic taxonomist and offshore environmental scientist before returning to academia. Research Focus Dr. Robertson's research examines benthic ecosystem functioning using trait-based approaches across environmental gradients. His work in submarine canyons, cold-seeps, and coral reefs investigates: Biodiversity-ecosystem function relationships Anthropogenic disturbance impacts (trawling, hypoxia, microplastics) Spatio-temporal patterns in macrofaunal communities Habitat heterogeneity effects on sediment biogeochemistry He currently leads a NERC-funded project (2023-2027) developing trait-based approaches for mapping benthic ecosystem services. Teaching & Advising He teaches undergraduate/postgraduate modules including: Benthic Marine Ecology Marine Predators (Sharks and Relatives) Environmental Data Analysis Dissertation design He actively supervises MSc and PhD students in marine ecology and welcomes new research candidates. Publications & Impact Robertson's recent publications demonstrate strong thematic coherence in benthic ecosystem research, with 75% focusing on anthropogenic impacts on deep-sea and canyon ecosystems. Key trends include microplastic distribution in canyons (2022), trawling-hypoxia interactions (2022), and standardized assessment methodologies (2025).

Miriam E. Marlierمشاهده پروفایل

استادیار

• Environmental Health
• Remote Sensing
• Climate Change Impacts
• +۶ مورد دیگر

Dr. Miriam E. Marlier is an interdisciplinary environmental scientist and Assistant Professor of Global Environmental Change in the Environmental Health Sciences Department at the University of California, Los Angeles (UCLA) Fielding School of Public Health . She also serves as faculty at the UCLA Institute of the Environment and Sustainability and holds an adjunct role at The RAND Corporation . Education: Ph.D. in Earth & Environmental Sciences, Columbia University (NSF Graduate Research Fellow) B.S. summa cum laude in Atmospheric, Oceanic & Environmental Sciences, UCLA Her research examines interactions between environmental change and public health using remote sensing and interdisciplinary modeling. Key projects include forecasting fire emissions and haze impacts in Indonesia, analyzing agricultural burning effects on Indian air quality, studying climate drivers of western U.S. wildfires, and improving disaster response via satellite data. She integrates environmental justice and climate adaptation frameworks into her work. Recent publications focus on wildfire smoke disparities, compound climate hazards (e.g., extreme heat + smoke), PM2.5 health impacts, and forest management trade-offs. Her 2025 studies analyze California wildfires and spatio-temporal smoke patterns, while 2024 works explore disease seasonality, heat-smoke synergies, and emission inventories. Scientific Awards: National Science Foundation (NSF) Graduate Research Fellowship Dr. Marlier collaborates with institutions like Columbia University, RAND Corporation, and UCLA's environmental health labs. Her outreach includes National Geographic features and community vulnerability indices for smoke exposure.

• Remote Sensing
• Human-Environment Interactions
• Sustainability Science
• +۳ مورد دیگر

Marc Linderman serves as an Associate Professor in the Department of Geographical and Sustainability Sciences at the University of Iowa, where he maintains a primary affiliation with the Center for Systems Integration and Sustainability. His work bridges geographical sciences and sustainability research through advanced spatial analysis methodologies. Research focuses on quantifying spatio-temporal dynamics in natural systems using remote sensing time-series and socio-ecological modeling, specifically examining human impacts on landscape-scale environmental processes. Key methodologies include: Spatio-temporally explicit modeling frameworks Remote sensing data interpretation for ecological dynamics Integration of biophysical and socio-economic variables Landscape-scale environmental change analysis Human-natural system interaction mapping Regional sustainability assessment techniques The Center for Systems Integration and Sustainability provides his core research environment, facilitating interdisciplinary collaboration on sustainability challenges through integrated modeling approaches.

Sridhar Krishnanمشاهده پروفایل

استاد

• Adaptive Signal Representation and Analysis
• Biomedical Signal/Image Analysis
• Multimedia Information Security
• +۴ مورد دیگر

Sridhar Krishnan is a Professor and Associate Dean (Research, Development and External Partnerships) in the Faculty of Engineering and Architectural Science at Ryerson University, holding the Canada Research Chair in Biomedical Signal Analysis. He serves as Co-Director of the Institute for Biomedical Engineering, Science and Technology (iBEST) and Affiliate Scientist at St. Michael's Hospital's Keenan Research Centre. He earned his B.E. in Electronics and Communication Engineering from Anna University (1993), and M.Sc./Ph.D. in Electrical and Computer Engineering from the University of Calgary (1996/1999). His research specializes in adaptive signal processing with applications across biomedicine, multimedia security, and biometrics. Key focus areas include gait analysis for neurological disorders, cardiac signal interpretation, assistive technologies, and secure biometric authentication systems. His work bridges engineering principles with clinical and security applications through innovative algorithm development. Publication analysis reveals consistent contributions to biomedical signal processing, particularly in movement disorders and cardiac diagnostics, while extending methodologies to multimedia security and behavioral biometrics. This interdisciplinary approach demonstrates strong translational impact from theoretical signal analysis to real-world healthcare and security solutions. Major recognitions include: Fellow of the Canadian Academy of Engineering (2014) IEEE Exemplary Service Award (2014) Innovate Calgary Achievement Award (2013) Sarwan Sahota Distinguished Scholar Award (2011) Engineers Canada Young Engineer Achievement (2007) Multiple best paper awards and chapter leadership honors He has mentored 10 postdocs, 10 PhD, and 39 Master's students while securing significant research funding. His 310+ publications, 12 invention disclosures, and US patent reflect substantial scholarly output. He actively serves on advisory boards for research institutes and innovation centers, driving translational research initiatives. Leading the Signal Analysis Research Laboratory, he directs teams developing assistive technologies and affective computing systems through collaborations with hospitals and industry partners, focusing on practical implementations of signal processing breakthroughs.