جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence in Engineering Education
• Machine Learning Systems for Engineering Education
• Simulation-Aided Online Teaching
• +۳ مورد دیگر

Dr. Gonca Altuger-Genc serves as Associate Professor in the Department of Mechanical Engineering Technology within Farmingdale State College's School of Engineering Technology. Holding a PhD in Mechanical Engineering from Stevens Institute of Technology, she specializes in integrating artificial intelligence and simulation technologies into engineering education curricula while maintaining active roles in program coordination and curriculum development. Education Background: B.S. in Mechanical Engineering, Eskisehir Osmangazi University (2002) M.E. in Mechanical Engineering, Stevens Institute of Technology (2005) Ph.D. in Mechanical Engineering, Stevens Institute of Technology (2012) Design and Production Management Certificate, Stevens Institute of Technology (2007) Fundamentals of Supply Chain Management Certificate, Supply Chain Online (2012) Teaching and Learning Certificate for New Faculty, SUNY Center for Professional Development (2018) Brightspace Fundamentals Training Certificate, SUNY Center for Professional Development (2022) Her research pioneers the incorporation of AI in engineering assignments, development of machine learning systems for educational platforms, and simulation-aided online teaching practices. Current work focuses on creating discrete event simulation models for manufacturing optimization and maintenance scheduling, significantly enhancing student engagement through technology-driven pedagogical innovations that bridge theoretical concepts with practical applications in engineering technology education. Publication trends reveal a strategic evolution from foundational work in simulation-based teaching (2015-2018) toward cutting-edge integration of AI tools like ChatGPT in engineering education (2023-2024). Her research consistently addresses critical gaps in engineering pedagogy through systematic literature reviews, curriculum development frameworks, and practical implementation studies presented at premier conferences including ASEE and ASME. Scientific Recognition: First In the World - Research Aligned Mentorship (RAM) Program Academic Fellowship Award (2016) Farmingdale College Foundation Award for Excellence in Teaching (2018) As former Graduate Program Coordinator for the MS Technology Management program, Dr. Altuger-Genc has shaped curriculum development and assessment frameworks while mentoring undergraduate research projects. Her RAM Fellowship supported innovative mentorship approaches, and her teaching excellence award recognizes transformative contributions to engineering education through applied learning methodologies and technology integration. She collaborates extensively with colleagues on interdisciplinary research initiatives spanning engineering education and manufacturing systems.

Marcel Maghiarمشاهده پروفایل

استاد

• Construction Engineering
• Sustainable Construction
• Green Building
• +۴ مورد دیگر

Marcel Maghiar serves as Department Chair and Professor of Civil Engineering & Construction at Georgia Southern University, where he has been faculty since 2011. His research directly contributes to UN Sustainable Development Goals through sustainable construction methodologies and energy-efficient building practices. His research fingerprint spans Construction Engineering, Sustainable Construction, Green Building, and Building Information Modeling with notable expertise in Commercial/Residential Building Engineering, Energy Efficiency, Thermal Comfort, and VR/BIM safety applications. Current work focuses on digital twin technologies for construction hazard mitigation and net-zero energy building performance optimization. Recent publications (2021-2025) demonstrate consistent innovation in LiDAR-based geotechnical monitoring, thermal dynamics of residential facilities, and immersive VR safety training systems. His work bridges theoretical construction engineering with practical sustainable building solutions, particularly in energy transition technologies and digital construction workflows. As co-investigator on the active NSF grant "Active MRI to Generate Accurate LiDAR-Based Models" (2018-present), he collaborates with Wood, Hladik, Maldonado and Van Stan. His educational contributions include pioneering curriculum development in geospatial technologies, notably the Terrestrial LiDAR course for engineering students.

Fahmida Rahmanمشاهده پروفایل

عضو هیئت علمی

• Transportation Safety
• Traffic Operation
• Congestion Management
• +۳ مورد دیگر

Fahmida Rahman, Ph.D., is an Assistant Teaching Professor in the Department of Civil and Environmental Engineering at Rowan University's Henry M. Rowan College of Engineering. Her expertise lies in transportation engineering with focuses on safety, traffic operations, and data-driven solutions. She holds a Ph.D. from the University of Kentucky (2022), where she developed speed-based Safety Performance Functions (SPFs) for rural highways and applied machine learning for safety assessment. Education: Ph.D., Civil Engineering, University of Kentucky (2022) M.S., Civil Engineering, University of Kentucky (2019) B.S., Civil Engineering, Bangladesh University of Engineering and Technology (2016) Research Interests: Transportation safety engineering, traffic operation optimization, congestion management, big data analysis, and Intelligent Transportation Systems (ITS). She has contributed to tools like the Kentucky Road User Cost and Travel Time Savings models for the Kentucky Transportation Cabinet (KYTC). Professional Contributions: Developed SPF models using speed data, applied machine learning for crash prediction, and pioneered third-party data integration for congestion performance metrics. Her work bridges theoretical models with real-world transportation challenges. Affiliations: Member of ASCE, SWE, and ITE professional organizations.

• Environmental Engineering
• Water Quality Management
• Sediment Dynamics
• +۳ مورد دیگر

Chunyan Tang is a University Lecturer at the Department of Materials Science and Environmental Engineering, Faculty of Engineering and Natural Sciences, Tampere University. Her research focuses on environmental engineering with emphasis on water quality management, sediment dynamics, and hydrodynamic modeling. She has conducted extensive studies on Lake Taihu, investigating sediment resuspension mechanisms, algal bloom control, and the impact of human activities such as ship traffic and water diversion. Her work integrates field measurements, numerical modeling, and laboratory analyses. Key contributions include advancing understanding of turbulent burst dynamics in shallow lakes, evaluating ecological risks of heavy metal pollution, and developing novel sigma coordinate systems for hydrodynamic simulations. She collaborates on projects addressing eutrophication mitigation, sediment remediation, and climate change impacts on water resources. Notable methodologies in her research include ADV (Acoustic Doppler Velocimeter) measurements for suspended sediment quantification, coupled hydrodynamic-water quality modeling, and kinetic analysis of pyrolysis processes for waste conversion. Her studies often combine environmental chemistry, fluid dynamics, and geospatial analysis to provide interdisciplinary solutions for complex water systems.

Raja Senguptaمشاهده پروفایل

دانشیار

• GIS
• GIScience
• Agent-Based Modeling
• +۴ مورد دیگر

Raja Sengupta, PhD, is an Associate Professor in the Department of Geography & School of Environment at McGill University. His research focuses on GIScience, agent-based modeling, and spatial decision support systems. He has held roles including Co-Director of the Roger Tomlinson Lab for GIScience and Visiting Faculty positions at institutions in India. His education includes a PhD from Southern Illinois University-Carbondale (2000) and degrees from Indian Institute of Technology-Mumbai and St. Xavier’s College, Mumbai. Research Interests: GIScience, agent-based modeling, smart cities, spatial epidemiology, land-use change, and environmental policy. Current projects include urban heat island monitoring, zoonotic disease transmission modeling, and mobile phone-based epidemic detection. Grants & Awards: Recipient of MUGS Mug Teaching Award (2007-2008). Active grants include Canada-India IMPACTS Network (Smart Cities, 2017-2018) and SSHRC funding for interdisciplinary conservation projects (2010-2017). Teaching: Courses include ENVR 301: Environmental Research Design and GEOG 201/307: GIS and Socio-Economic Applications. Labs & Collaborations: Leads the Roger Tomlinson Lab for GIScience and collaborates with global institutions on projects like the Indian Ocean World research initiative.

Shan Jiangمشاهده پروفایل

استادیار

• Urban Analytics
• Big Data Analytics
• Spatial Data Science
• +۴ مورد دیگر

Shan Jiang is an Assistant Professor at Tufts University, holding dual appointments in the Department of Urban and Environmental Policy & Planning (School of Arts and Sciences) and the Department of Civil and Environmental Engineering (School of Engineering). She also holds the Eileen Fox Aptman, J90, and Lowell Aptman Professorship. Her research focuses on leveraging big data analytics, spatial data science, and computational methods to study urban systems, with an emphasis on sustainable city planning and smart infrastructure. Education: PhD, MCP, and MSc in Urban Planning and Transportation from MIT, alongside undergraduate degrees in Urban Planning and Economics from Peking University. Research Interests: Urban analytics, spatial data science, mobility patterns, environmental justice, and the application of ICT in urban policy. Jiang’s work bridges theory and practice, addressing global urban challenges through innovative data integration (e.g., mobile phone metadata, social media, and environmental sensors). Grants & Collaborations: Funded by NSF, Singapore National Research Foundation, Lincoln Institute of Land Policy, and others. Projects include flood modeling using taxi GPS data, carbon emissions analysis in Boston, and public transit data-sharing frameworks. Awards: Knez Faculty Fellow (2018). Active in professional service, including editorial roles at Transactions in Urban Data, Science, and Technology and Data and Policy . Teaching: Courses on urban analytics, data science for sustainability, transportation planning, and visualization labs.

Rosh Ranasingheمشاهده پروفایل

استاد

• Coastal Engineering
• Climate Change Adaptation
• Oceanography
• +۵ مورد دیگر

Rosh Ranasinghe is an academic with extensive contributions to coastal engineering, climate change adaptation, and oceanography. He has held academic roles across Australia, the USA, and the Netherlands, focusing on coastal processes, climate impacts, and risk assessment. His research emphasizes probabilistic modeling, long-term coastal dynamics, and the strategic application of numerical models to address climate change challenges. Education: He earned a Bachelor of Science Engineering (1st Class Honours) from the University of Peradeniya, Sri Lanka (1993), and a PhD in Coastal Engineering and Oceanography from the University of Western Australia (1998). Research Interests: Key areas include coastal vulnerability assessment, morphodynamic modeling, reduced-complexity models, and the strategic management of coastal systems. His work integrates field data, numerical simulations, and policy-driven analyses to address global challenges like sea-level rise and extreme weather impacts. Advising & Grants: Rosh has supervised/co-supervised 10 post-doctoral fellows, 20+ PhD candidates, and numerous MSc students. He has led capacity development projects in Sri Lanka, India, Vietnam, Thailand, and São Tomé and Príncipe. His contributions to the IPCC include roles as Coordinating Lead Author, Lead Author of the Summary for Policymakers, and Contributing Author to multiple assessment reports, including AR6 and the SROCC. Labs/Teams: His work aligns with international collaborations, particularly through the IPCC, where he contributes to climate risk analysis and coastal adaptation strategies. Projects focus on global datasets (e.g., GCC, Global Sandy Beach Areas) and probabilistic assessments of shoreline changes.

• Water Management
• Environmental Science
• Water Footprint Assessment
• +۵ مورد دیگر

Maarten S. Krol is an Associate Professor in Multidisciplinary Water Management at the University of Twente. His research focuses on water resource sustainability, environmental policy, and agricultural systems. Key areas include water pollution mitigation strategies, sustainable farming practices, and the water-energy-food nexus. He has contributed to global comparative analyses of agricultural water use and developed innovative datasets for farm-scale crop modeling. Education: Ph.D. in Environmental Science (implied via career trajectory). Collaborations: Extensive international partnerships, particularly in China, Kenya, and Brazil. Labs/Teams: Involved in interdisciplinary teams addressing climate change impacts and sustainable development goals. Research highlights include assessments of pharmaceutical pollution in livestock farming, CO2 emission responsibility allocation in capital investments, and the role of smallholder farming in water scarcity contexts. His work emphasizes actionable solutions through policy analysis and technological integration (e.g., AI for resource management). Publications span over 25 years, with recent focus on China’s water pollution scenarios, global agricultural sustainability, and blue-green infrastructure development. He has authored/co-authored 117 research outputs and contributed to 7 datasets, including gridded farm-scale crop maps for 56 countries.

• Fluid Mechanics
• Combustion Engineering
• Environmental Engineering
• +۳ مورد دیگر

Dr. Ed Long is a Senior Lecturer in Fluids Engineering, focusing on interdisciplinary research at the intersection of fluid dynamics, combustion systems, and environmental applications. His work spans experimental and analytical studies in laser cutting gas dynamics, aerosol technology, and sustainable energy solutions. He has contributed to advancements in engine emissions reduction, battery thermal management, and soil erosion modeling. His research often involves cutting-edge diagnostic techniques such as particle imaging velocimetry and electrochemical analysis. Key research areas include combustion optimization in compression ignition engines, mitigation of hazardous fumes in industrial processes, and improving drug delivery systems through aerosol dynamics. His studies also address environmental challenges like pollution control and sustainable manufacturing. Dr. Long's experimental work frequently employs advanced imaging and sensor technologies to analyze fluid flow, particle behavior, and thermal interactions in complex systems. Though no specific awards are noted, his prolific publication record (over 30 articles from 2006–2024) demonstrates sustained contributions to mechanical, biomedical, and environmental engineering. His research bridges theoretical models with practical applications, such as low-cost turbidity sensors and novel designs for exhaust cleaning modules. Collaborations likely span academic and industrial partners, though specific affiliations are not detailed here.

• Epidemiology
• Infectious Disease Modelling
• Public Health Policy
• +۴ مورد دیگر

Neil Ferguson is a Professor and Director of the School of Public Health at Imperial College London, affiliated with the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA) and multiple research centers. His work focuses on mathematical modeling of infectious disease spread, policy impact analysis, and intervention strategies for diseases like malaria, dengue, and emerging pathogens. Key collaborations include the WHO, CDC, and Public Health England. Research highlights include developing the MRC Centre for Global Infectious Disease Analysis and analyzing the efficacy of the Sanofi dengue vaccine. His work on Wolbachia as a vector control measure and pandemic response modeling during the COVID-19 crisis has significantly influenced global health policy. Roles: Director of School of Public Health, Lead at J-IDEA Affiliations: Faculty of Medicine, MRC Centre for Global Infectious Disease Analysis, NIHR Health Protection Research Unit Research interests span epidemiology of vector-borne diseases, vaccine impact assessment, and outbreak prediction. His models analyze transmission dynamics, intervention effectiveness, and public health policy implications. Ongoing projects include spatial analysis of Wolbachia spread and subnational dengue vaccination strategies.

• Urban and Regional Planning
• Human Geography
• Economic Geography
• +۳ مورد دیگر

Jon Reades is a Professor of Geographic Data Science at the Centre for Advanced Spatial Analysis (CASA) at University College London (UCL), where he currently serves as Director. His academic journey includes a PhD in Town Planning from UCL's Bartlett School of Planning, and prior roles as Senior Lecturer and Lecturer in Quantitative Human Geography at King's College London. His research integrates urban planning, human geography, and data science, with a focus on housing policy, geospatial modeling, and urban systems analysis. Reades' educational background spans comparative literature (BA, Princeton University) and non-academic experience in software engineering and database mining. He has held visiting research positions at MIT's SENSEable City Lab and completed postgraduate training in data science and academic practice. His work bridges computational methods with urban theory, addressing challenges like housing inequality, urban gentrification, and pandemic-era spatial dynamics. Key research interests include spatial data visualization (e.g., Folium library contributions), agent-based modeling of urban behavior, and quantitative approaches to gender equity in academia. He actively engages with policy-relevant topics such as affordable housing and urban innovation, leveraging open-source tools and collaborative frameworks like CyberGIS. Reades' interdisciplinary approach is reflected in his teaching, which emphasizes practical coding skills (Jupyter notebooks) alongside theoretical urban concepts. Labs/Teams: As CASA Director, he oversees a multidisciplinary team advancing spatial data science methodologies. His research network includes collaborations with MIT's SENSEable City Lab and contributions to global urban initiatives like 'Smart London.' Current projects explore post-pandemic urban resilience, spatial equity in housing markets, and digital tools for urban analytics.

Marcin Hernesمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Production Management Systems
• +۷ مورد دیگر

Marcin Hernes is a Lecturer and Head of the Department of Process Management at Wrocław University of Economics. He also serves as Director of the Center for Intelligent Management Systems. His academic career spans undergraduate, graduate, and postgraduate teaching, alongside extensive research collaboration. He is actively involved in national and international conferences, and holds memberships in IEEE, the Polish Association of Artificial Intelligence, and the Scientific Society for Economic Informatics. His research interests include artificial intelligence, cognitive technologies, machine learning, and decision support systems in production and management contexts. Education details are not explicitly stated in the provided text, but his professional trajectory indicates advanced academic qualifications. His research focuses on resolving knowledge conflicts in multi-agent systems, optimizing production processes, and leveraging AI for business sustainability. He has developed dozens of software applications for industrial and public administration use cases, emphasizing practical technological solutions. Hernes supervises doctoral students and maintains active engagement with the socio-economic environment through collaborative projects. His consultations are held on Wednesdays, and master's seminars are conducted remotely via MS Teams with specific schedules for full-time and part-time students. Notably, he has pioneered frameworks integrating cognitive architecture into financial decision support systems and contributed to ERP 4.0 systems aligning with Industry 4.0 standards. His work emphasizes sustainability across domains, from reducing urban carbon footprints through cloud technology to environmental life cycle costing in network organizations. He has also addressed challenges in supply chain management, such as the Forrester effect reduction, and explored blockchain applications in public administration digital transformation.

Ujwalkumar D. Patilمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Unsaturated Soil Mechanics
• Slope Stability Analysis
• +۷ مورد دیگر

Dr. Ujwalkumar D. Patil is an Associate Professor of Civil (Geotechnical) Engineering at the University of the District of Columbia (UDC), where he has served since 2023. Previously, he held roles at the University of Guam (2017–2023) and completed postdoctoral research at the University of Texas at Arlington. His expertise spans geotechnical engineering, unsaturated soil mechanics, slope stability analysis, and biogeotechnics. He integrates experimental and computational methods to develop sustainable solutions for infrastructure resilience in the face of climate change. Dr. Patil's education includes a Ph.D. in Civil Engineering from the University of Texas at Arlington, an M.Sc. from San Diego State University, and a B.Sc. from North Maharashtra University. He teaches courses such as Foundation Design, Geotechnical Engineering, and Risk and Resiliency Analysis. His research focuses on enhancing slope stability through biogeotechnical approaches, including the use of vetiver grass and Acacia tree roots, as well as computational modeling of soil behavior under varying conditions. His work has been supported by NSF-funded projects and grants from U.S. agencies like the Geological Survey and Department of the Interior. Key research themes include unsaturated soil mechanics, landslide mitigation, and climate adaptation strategies for critical infrastructure. Dr. Patil is active in professional leadership, serving on ASCE's Geotechnical Institute committees for Unsaturated Soils and Soil Properties & Modeling since 2018. His publications and presentations address topics like soil bioengineering, UAV-based slope monitoring, and predictive modeling of rainfall-induced failures in tropical regions.

• Landslide hazard and risk
• Rock fracture mechanics
• Soil and rock mechanics
• +۷ مورد دیگر

Marta Castelli is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, Italy. She is actively involved in research and teaching in geotechnical engineering, with a focus on landslide hazard and risk, rock and soil mechanics, and slope stability. Her research interests include: Landslide hazard and risk assessment Rock fracture mechanics Soil and rock mechanics Slope stability under climate change effects (e.g., permafrost melting) Development of GIS-based tools for geohazard modeling Recent publications highlight her work on freeze-thaw effects on rock strength, rockfall propagation modeling, parameter calibration for landslide modeling, and the development of QGIS plugins for preliminary landslide risk assessment. Her research integrates field studies, laboratory testing, and numerical modeling, with applications in alpine and urban environments. Scientific participations include: Effective member, Italian Geotechnical Association (1996–present) Effective member, International Society for Rock Mechanics (1996–present) Program Committee Member, IACMAG, FOSS4G-IT, and MIR conferences She supervises PhD students, including Giulia Torsello, and teaches courses at bachelor’s, master’s, and doctoral levels in civil and environmental engineering. She leads commercial research projects related to geohazard assessment and infrastructure safety, demonstrating strong industry engagement and applied research impact.

Robin Toft Klarمشاهده پروفایل

استاد بالینی

• Global Health
• Population Health
• Nursing Workforce Development
• +۹ مورد دیگر

Robin Toft Klar is a Clinical Professor at NYU Rory Meyers College of Nursing, where she has dedicated her career to advancing nursing through environmental and systems-level research. Her work focuses on the built environment’s impact on population health, nursing workforce capacity building in low- and middle-income countries, and interprofessional education. She is a Fellow of the American Academy of Nursing and actively mentors PhD students. Education: Post-Doc, Case Western University (2012) DNSc, Yale University (2002) MS, Boston College (1980) BSN, Fitchburg State College (1979) Diploma, Worcester City Hospital School of Nursing (1975) Her research interests include global health, nursing workforce development, infection prevention and control, continuing professional development, and environmental design in healthcare. She has led major initiatives in Liberia and Rwanda to strengthen nursing and midwifery education and practice. Her recent publications show a strong trend in global health systems strengthening, particularly in post-crisis settings (e.g., post-Ebola Liberia), with a focus on curriculum reform, preceptor training, PPE access, and pandemic adaptation. She integrates geospatial tools, simulation, and quality improvement frameworks into her work. Scientific Awards: Fellow, American Academy of Nursing (2019) Nurses with Global Impact Award, United Nations (2019) Recognition, Rwanda Ministry of Health (2016) Fellow, Comprehensive Geriatric Education Program, UMass (2013) Educational Achievement Award, UMass (2009) Fellow, Career Development Institute, UMass (2008) Leadership Award, Fitchburg State College (2003) Dr. Klar has been instrumental in advising and leading multiple federally funded and international projects, including HRSA/PEPFAR-supported programs in Liberia and Rwanda. She collaborates extensively with academic and governmental partners to strengthen health systems. Her work in developing continuing professional development programs, curricular reforms, and resilient health workforce models demonstrates a sustained commitment to equity and sustainability. She is actively involved in media and public engagement, with recent coverage of her work in Ghana involving health screenings and student training. Her lab and team efforts focus on global nursing innovation, particularly through the Resilient and Responsive Health Systems (RRHS) initiative.