جست‌وجوی استاد و پژوهشگر

Vitor S. Martinsمشاهده پروفایل

استادیار

• Remote Sensing
• Water Quality
• Deep Learning
• +۵ مورد دیگر

Dr. Vitor S. Martins is an Assistant Professor in the Department of Agricultural and Biological Engineering at Mississippi State University (MSU). He leads the Geospatial Computing for Environmental Research (GCER) Lab , focusing on satellite remote sensing, deep learning, and environmental monitoring. His research integrates Earth observation data with AI to advance digital agriculture, water resource management, and climate resilience. Education: Ph.D., Agricultural and Biosystems Engineering, Iowa State University M.Sc., Remote Sensing, Brazilian Institute for Space Research (INPE) B.Sc., Agriculture and Environmental Engineering, Federal University of Viçosa Research Interests: Remote sensing of water quality and pollution Land cover/land use change mapping Satellite and aerial image processing Soil & water conservation engineering Deep learning for geospatial data analysis Climate change impacts on environmental systems Recent Research Trends (Articles): His work emphasizes algal bloom monitoring , crop type mapping , and global water transparency using advanced satellite platforms like Sentinel-2/3 and Landsat. He also develops frameworks for burned area mapping and soil spectral analysis , leveraging cloud computing and AI-driven models. Awards & Honors: 2019 Reverent P.T. Taiganides Award (Outstanding Ph.D. Student) 2019 Harold & Katherine Guy Fellowship (Soil & Water Conservation Research) 2012 CAPES-FIPSE International Exchange Award Lab & Collaborations: The GCER Lab collaborates with multiple institutions to promote AI solutions for agriculture and water management. Projects include developing AlgaeMap for Latin American water quality monitoring and creating scalable frameworks like FieldSeg for agricultural field extraction.

Pouyan Ahmadiمشاهده پروفایل

دانشیار

• Wireless Networks
• Machine Learning
• IoT Security
• +۵ مورد دیگر

Pouyan Ahmadi is an Associate Professor in the Department of Information Sciences and Technology at George Mason University. His research focuses on wireless networks, IoT security, machine learning, and education technology. He holds a PhD in Electrical and Computer Engineering (George Mason University), MS in Architecture of Computer Systems (Iran University of Science and Technology), and BS in Computer Engineering (Azad University). Research interests include cooperative communications, cross-layer network design, relay deployment strategies, and applying machine learning to network security and educational analytics. Notable areas of expertise involve IoT intrusion detection, supply chain RFID implementations, and analyzing student performance through LMS data. His publications span cybersecurity, machine learning applications in education, and wireless network optimization. Recent work emphasizes predictive modeling for student outcomes and improving intrusion detection systems using advanced algorithms. He has contributed to both theoretical frameworks and practical implementations in MANETs and emergency response networks. Labs/Teams: No specific lab/team affiliations explicitly mentioned in the provided information.

Abdul Rehman Ashrafمشاهده پروفایل

دانشیار

• Digital Marketing
• Augmented Reality (AR) Applications in Retail
• Consumer Behavior in Technology-Driven Environments
• +۴ مورد دیگر

Dr. Abdul Rehman Ashraf is an Associate Professor of Marketing at the Goodman School of Business, Brock University , where he investigates the intersection of technology and consumer behavior. His research focuses on augmented reality (AR) , metaverse commerce , and ethical marketing practices . Academic Affiliation: Brock University (Goodman School of Business) Primary Research Areas: Digital Marketing, Augmented Reality, Consumer Behavior, Sustainability Marketing Contact: arehman@brocku.ca A leading scholar in technology-driven marketing, Dr. Ashraf explores how immersive environments (AR, metaverse) influence consumer decision-making, psychological ownership, and sustainable practices. His work bridges neuromarketing and digital commerce , emphasizing regulatory focus and stigma management in unconventional markets. Recent publications highlight trends in AR-enabled retail , AI-powered marketing , and ethical frameworks for digital commerce. These studies span topics from virtual tourism experiences to logo design psychology , reflecting his multidisciplinary approach. Dr. Ashraf teaches in the Marketing department, contributing to undergraduate and graduate programs in digital marketing and consumer behavior. While no formal advising roles or student names are listed in the scraped data, his research output suggests active mentorship in marketing innovation.

• Machine Learning
• Business Analytics
• Natural Language Processing
• +۴ مورد دیگر

Subhra Patra is Clinical Assistant Professor in Information Systems at UT Arlington. PhD in Computer Science from Homi Bhabha National Institute (2013) with thesis on computational intelligence for nuclear reactors. Applies machine learning to diverse domains including sentiment analysis, economic forecasting, and environmental modeling. Educational background: Ph.D. Computer Science, Homi Bhabha National Institute (2013) M.S. Electronic Science, Berhampur University (2006) M.S. Physics, Khallikote Unitary University (2004) Research spans business analytics applications and computational methods, including NLP for fake news detection, time series forecasting, and neural network architectures. Recent work focuses on operationalizing analytics in business contexts. Teaching responsibilities include Python programming, database systems, and data visualization. Previously held positions at VIT Chennai and KL University.

Rene Zamora Cristalesمشاهده پروفایل

دانشیار

• Forest Policy Analysis
• Forest Economics
• Carbon Markets
• +۵ مورد دیگر

Rene Zamora Cristales is an Associate Professor at Oregon State University's College of Forestry, based in the Department of Forest Engineering, Resources & Management. His work focuses on forest policy analysis, economics of carbon markets, and sustainable land use strategies in developing nations. He holds a CV available for review (ZamoraReneCV2022_August.pdf). Research emphasizes economic incentives for ecological restoration, public policy design, and bridging finance gaps between impact investors and landscape restoration projects. He has conducted studies in Latin America, analyzing policy instruments and land opportunity costs in restoration efforts. Recent work explores machine learning applications for policy analysis and develops metrics like the Landscape Sustainability Index. His 2022 paper proposed new paradigms for analyzing forestry policies using algorithmic methods. He has advised on restoration initiatives in Honduras, Chile, and across Central America, focusing on equitable resource allocation and community engagement strategies. His research integrates environmental, economic, and social dimensions of land management challenges.

Marco Aldinucciمشاهده پروفایل

استاد

• Parallel Computing
• High-Performance Computing (HPC)
• Cloud Engineering
• +۷ مورد دیگر

Marco Aldinucci is a Full Professor and Head of the Parallel Computing group at the University of Torino's Computer Science Department. He leads the HPC Key Technologies and Tools (HPC-KTT) national lab under CINI, involving 38 Italian universities. His expertise spans parallel programming models, HPC systems, federated learning, and energy-efficient computing. Aldinucci has secured over €10M in EU research funding, contributed to frameworks like Fastflow and Streamflow, and pioneered initiatives like the HPC4AI lab and the CINI HPC-KTT lab. His research focuses on advancing exascale computing, cloud-HPC integration, and AI-driven medical solutions. Notable projects include the Gaia AVU-GSR solver for exascale systems and the DeepHealth Toolkit for medical AI. He has held governance roles in EuroHPC and chairs the Observatory on Trends and Applications of Supercomputing in Italy. Aldinucci’s publications (150+) address parallel algorithms, distributed learning, and sustainable HPC infrastructure. His work has been recognized with awards from HPC Advisory Council, NVIDIA, IBM, and Autodesk. Current initiatives include the Software & Integration lab at the Italian National HPC Centre (ICSC) and leadership in the OpenScience working group at Torino. His advising includes Iacopo Colonelli, whose thesis won CINI’s 2023 best award. He actively engages in EU projects, workflow systems, and standards for hybrid computing environments. Aldinucci’s labs and collaborations drive innovations in HPC portability, energy efficiency, and AI scalability.

Kingsley Lauمشاهده پروفایل

دانشیار

• Infrastructure Materials Durability
• Corrosion of Engineering Materials
• Durability of Reinforced Concrete
• +۵ مورد دیگر

Dr. Kingsley Lau is an Associate Professor in the Department of Civil and Environmental Engineering at Florida International University (FIU). He joined FIU in 2012 after serving as a Corrosion Research Scientist at the Florida Department of Transportation (FDOT). He holds a Ph.D. in Civil Engineering from the University of South Florida (2010). His research focuses on infrastructure materials durability, specifically corrosion of engineering materials and durability of reinforced and prestressed concrete. Dr. Lau has authored/co-authored over 15 peer-reviewed manuscripts and conference papers, with recent work emphasizing coastal infrastructure resilience, corrosion monitoring systems, and microbiologically influenced corrosion (MIC). Dr. Lau’s research integrates advanced electrochemical testing, machine learning models for predictive coating analysis, and novel materials development. He has collaborated on critical projects such as the Port of Miami Tunnel corrosion monitoring system and corrosion mitigation strategies for Florida’s marine bridges. His work addresses challenges posed by rising sea levels, aggressive marine environments, and deficient post-tension grout in infrastructure systems. Key areas of expertise include: corrosion mechanisms in alkaline solutions, sulfate-induced steel corrosion, and durability assessment of UHPC (ultra-high-performance concrete) in accelerated bridge construction. His contributions bridge laboratory studies with field applications, aiming to enhance infrastructure longevity and safety in corrosive environments.

Ashley D'Antonioمشاهده پروفایل

دانشیار

• Recreation Ecology
• Sustainable Recreation and Tourism
• Human Dimensions of Natural Resources
• +۲ مورد دیگر

Ashley D'Antonio is an Associate Professor and Associate Department Head in the Forest Ecosystems & Society department at Oregon State University's College of Forestry. Her research integrates recreation ecology, visitor behavior analysis, and protected area management using spatial methods like GPS tracking and social science approaches. Education includes a Ph.D. and M.S. in Human Dimensions of Ecosystem Science from Utah State University and a B.S. in Biology from Pennsylvania State University. Research focuses on sustainable recreation, human-environment interactions in parks, and visitor impact mitigation. Recent work examines weather impacts on visitation, trail degradation prediction, and pandemic effects on outdoor recreation behavior. Publications consistently address visitor movement modeling, recreation ecology, and protected area management using geospatial technologies. Trends show growing emphasis on machine learning applications, pandemic-related behavioral shifts, and interdisciplinary approaches combining ecological and social science methods. Advises graduate student Danielle Berger and teaches courses including Outdoor Recreation Management, Parks and Protected Area Management, and Sustainable Recreation Planning.

• Energy Efficiency in Maritime Systems
• Renewable Energy Modeling
• Solar Power Forecasting
• +۳ مورد دیگر

Mohamed Abuella is a Research Fellow at Northumbria University's School of Engineering Physics and Mathematics, specializing in energy efficiency and renewable energy systems. His work bridges maritime engineering with data analytics and machine learning. Educational Background: PhD (expected 2099) His research focuses on Time-Series Analysis for maritime energy optimization, Renewable Energy Modeling (wind and solar), and Machine Learning Applications in power forecasting. Recent publications highlight advancements in sustainable shipping and solar/wind energy systems. Key trends in his recent articles include Explainable AI for maritime efficiency, Hybrid Forecasting Models for renewable energy, and Geospatial Analysis for vessel navigation. Notable collaborations span energy analytics and maritime technology domains.

Selen Cremaschiمشاهده پروفایل

استاد

• Process synthesis, design, and operations
• Optimization under uncertainty
• Energy systems engineering
• +۲ مورد دیگر

Selen Cremaschi is a Professor and the B. Redd & Susan W. Redd Eminent Scholar Chair in the Department of Chemical Engineering at Auburn University (College of Engineering). She earned her Ph.D., M.S., and B.S. in Chemical Engineering from Purdue University and Bogazici University respectively. Education: Ph.D. Chemical Engineering, Purdue University M.S. Chemical Engineering, Bogazici University B.S. Chemical Engineering, Bogazici University Research Interests: Process synthesis, design, and operations Optimization under uncertainty Energy systems engineering Techno-economic and life cycle analysis Cancer care engineering Recent Articles Trends: Her work spans biomedical applications (e.g., stem cell cardiac differentiation), CO2 capture, process intensification, and stochastic programming. Key areas include sustainable chemical processes, computational biology, and hybrid modeling frameworks. Scientific Awards: B. Redd & Susan W. Redd Eminent Scholar Chair 2018 Class of Influential Researchers Grants & Collaborations: She co-led a $23.8M DOE project on CO2 emission reduction in pulp and paper mills and a $1.5M NSF grant for heart tissue engineering. She contributes to interdisciplinary teams and has been interviewed on the award-winning #GINNing Podcast about her leadership role.

Yazhou Tuمشاهده پروفایل

استادیار

• Cyber-Physical System Security
• Side Channel Analysis
• Sensing and Automation Security
• +۳ مورد دیگر

Yazhou Tu is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University. He specializes in Cyber-Physical System Security, Side Channel Analysis, and Privacy in embedded systems. His work focuses on addressing vulnerabilities in sensors, actuators, and IoT devices to enhance security and privacy in critical systems. Education: Ph.D. Computer Science, University of Louisiana at Lafayette M.S. Software Engineering, Tsinghua University B.S. Software Engineering, Wuhan University Research Interests: Dr. Tu’s research explores cutting-edge topics such as adversarial control of embedded systems, acoustic and magnetic side-channel attacks, and privacy risks in robotic and biomedical systems. He develops novel defense mechanisms like ADC-Bank and Transduction Shield to counteract physical signal injection attacks. Key Contributions: His work spans sensor security, IoT exploitation, and healthcare technology, with notable studies on 3D printer IP theft, vehicle control via smart glasses, and keystroke tracking via audio. He also investigates physics-informed ML for porous media and glucose monitoring systems. Awards & Grants: No specific awards or grants listed in the provided data, but his prolific publication record highlights sustained research excellence. Labs & Collaborations: Engaged in Auburn’s Center for Artificial Intelligence and Cybersecurity Engineering and other interdisciplinary initiatives focused on secure embedded systems and cyber-physical infrastructure.

Ali Khosraviمشاهده پروفایل

استادیار

• Bioinspired Geotechnics
• Thermo-hydro-mechanical Processes
• Soil-Structure Interaction
• +۳ مورد دیگر

Ali Khosravi is an Assistant Professor in the Department of Civil and Environmental Engineering at Auburn University, specializing in bioinspired geotechnics and geomechanics. His work integrates advanced materials science, remote sensing, and computational modeling to address challenges in infrastructure resilience, climate change impacts, and sustainable geotechnical systems. He holds a Ph.D. from the University of Colorado Boulder and degrees from Sharif University of Technology. Research focuses include: Thermo-hydro-mechanical processes in soils and fractured rocks Soil-structure interaction for seismic and environmental applications Robotics-inspired probes for subsurface exploration Permafrost degradation under climate change Energy geosystems and geothermal applications Recent projects involve collaborating with the National Center for Additive Manufacturing Excellence (NCAME) to develop underground installation robots, assessing Arctic permafrost stability with multi-disciplinary teams, and using InSAR remote sensing to monitor infrastructure like levees and highways. His research bridges geotechnical engineering with emerging technologies like machine learning and bioinspired design. Grants and collaborations include Auburn Engineering’s Kiemyung University travel grant for international research partnerships. His lab focuses on innovative solutions for geohazards, energy efficiency, and smart infrastructure systems.

Emily Kangمشاهده پروفایل

استاد

• Spatial Statistics
• Environmental Statistics
• Data Assimilation
• +۲ مورد دیگر

Emily Kang is a Professor in the Department of Mathematical Sciences at the University of Cincinnati, where she leads the Group on Data Analytics and Decision Sciences (GDADS). Her research develops statistical methodologies for spatial and spatio-temporal data, with applications in environmental science, climate modeling, and remote sensing. Kang specializes in hierarchical Bayesian models, data assimilation techniques, and scalable algorithms for large environmental datasets. Her work includes developing the EcoPro framework for ecological projections using Earth system models and remote sensing data, creating statistical downscaling methods for climate variables, and designing visualization tools for global environmental data on multi-resolution grids. Kang received the American Statistical Association's ENVR Early Investigator Award for contributions to environmental statistics. Current projects focus on neighborhood-scale extreme heat projections, coral reef habitability under climate change, and recursive co-kriging models for multi-fidelity spatial data. Her research advances uncertainty quantification in remote sensing products and climate impact assessments.

Audris Mockusمشاهده پروفایل

استاد

• Digital Archaeology
• Software Engineering
• Open Source Development
• +۳ مورد دیگر

Audris Mockus is the Ericsson-Harlan D. Mills Chair Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Statistics from Carnegie Mellon University and has extensive experience in software engineering research, particularly in Digital Archaeology and Open Source Software analysis. His work focuses on understanding developer behavior, software evolution, and global software development challenges. Education: PhD in Statistics, Carnegie Mellon University, 1994 MS in Applied Mathematics, Moscow Institute of Physics and Technology, 1991 BS in Applied Mathematics, Moscow Institute of Physics and Technology, 1988 Research Interests: Mockus specializes in recovering and analyzing digital traces of software development to study developer behavior, software quality, and project dynamics. His research includes quantifying open-source supply chains, measuring developer expertise, and improving software defect prediction. He has pioneered methods for analyzing version control systems and global software teams. Awards and Grants: Recipient of multiple best paper awards at ICSE, FSE, and other conferences. Lead PI on NSF grants totaling over $2M for projects like the World of Code (WoC) infrastructure and forensic image curation. Patents in data visualization and software defect prediction. Advising and Labs: Mockus has advised PhD students on topics like npm ecosystem analysis and forensic image clustering. His research group collaborates with institutions like the National Institute of Justice on projects like Image Cloud Platform for forensic data curation.

Joel E. Cohenمشاهده پروفایل

استاد

• Mathematical Biology
• Population Dynamics
• Demography
• +۷ مورد دیگر

Joel E. Cohen is the Abby Rockefeller Mauzé Professor at The Rockefeller University, where he leads the Laboratory of Populations. With over five decades of research experience, Cohen has pioneered innovative mathematical approaches to study biological populations and variability. His work bridges mathematics, biology, and environmental science, fundamentally changing how scientists understand population dynamics and the significance of biological variability. Dr. Cohen's research focuses on developing new mathematical tools to address population problems in demography, epidemiology, and ecology. He has made seminal contributions to the understanding of heavy-tailed distributions that describe extreme events like hurricanes and disease outbreaks, challenging traditional statistical approaches. His laboratory has conducted groundbreaking research on the spatial distribution of human populations in relation to geophysical factors, with unexpected practical applications ranging from soap formulation to semiconductor manufacturing. Cohen has also developed mathematical models for Chagas disease control in rural Argentina and created algorithms to predict international migration patterns. Analysis of Cohen's recent publications reveals a sustained focus on Taylor's law of fluctuation scaling, population dynamics, and ecological statistics. His work consistently demonstrates how abstract mathematical concepts can transform our understanding of biological systems, from cellular processes to global population trends. The research spans theoretical mathematics to practical applications in disease control, conservation biology, and environmental management. Olivia Schieffelin Nordberg Prize for excellence in writing in the population sciences (March 1997) Gheorghe Lazar Prize of Romanian Academy (December 2000) As director of the Laboratory of Populations, Cohen has led research on human population growth, infectious diseases, food webs, and international migration. His methods for assessing the uncertainty of population projections have been applied in court cases for predicting future claimants of asbestos-related diseases. Cohen's laboratory has collaborated with the United Nations Population Division on migration studies and developed mathematical models that account for more than half of the variability in annual migration numbers among 229 countries. Current research directions include understanding how demographic, economic, and cultural changes interact with Earth's physical, chemical, and biological environments. The Laboratory of Populations employs a multidisciplinary approach that combines mathematical modeling, statistical analysis, and field studies to address complex population issues. Their work exemplifies how basic quantitative research on populations frequently yields unexpected practical applications, demonstrating the profound connections between theoretical mathematics and real-world challenges in public health, environmental science, and resource management.