جستجوی استاد راهنمای دانشگاهی

Jiaqi Gongمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Smart and Connected Health
• Cyber-Physical Systems
• +۱۳ مورد دیگر

Dr. Jiaqi Gong serves as Associate Professor in Computer Science and Adjunct Associate Professor in Mechanical Engineering at The University of Alabama's College of Engineering, while directing the Alabama Center for the Advancement of Artificial Intelligence. His academic foundation includes: B.S. in Engineering, China University of Geoscience (2004) Ph.D. in Engineering, Huazhong University of Science and Technology (2010) Dr. Gong's research pioneers human-AI convergence through cyber-physical systems and smart health technologies, developing mobile/wearable platforms to enhance human perceptual, cognitive, and physical capabilities. His work spans artificial intelligence, machine learning, computer vision, and IoT with applications in healthcare, environmental monitoring, and education. The Sensor-Accelerated Intelligent Learning (SAIL) laboratory he founded drives innovation in behavior change interventions, human movement modeling, and educational data mining. Recent publications reveal strong interdisciplinary trends: healthcare AI dominates with medication adherence prediction and surgical classification systems, while environmental applications feature flood-risk communication and drought analysis. His work increasingly integrates generative AI and LLMs across domains, demonstrating methodological innovation in federated learning, knowledge graphs, and explainable storytelling frameworks. Notable recognitions include: Best Student Paper Award, IEEE/ACM Connected Health Conference (2022) Best Student Paper Award, Body Sensor Networks Conference (2019) Data Challenge Win, IEEE Biomedical Health Informatics (2018) Best Paper Award, Body Area Networks Conference (2014) Best Demonstration Award, IEEE Wireless Health Conference (2014) Dr. Gong leads significant funded projects including a $2M CDC/NIOSH grant for first responder safety and $3M NSF funding for hydrologic research. As SAIL laboratory director, he mentors students in developing clinically deployed technologies for multiple sclerosis, dementia, and mental health. Future work focuses on scaling AI applications in chronic disease management and climate resilience through the Alabama AI Center. The SAIL laboratory (founded 2017) operates as a multidisciplinary hub developing wearable/mobile systems for health applications, with active collaborations across medical clinics and engineering departments for real-world deployment of behavior change interventions and movement analysis tools.

Miyuki Hinoمشاهده پروفایل

استادیار

• Climate Change Adaptation
• Environmental Policy
• Disaster Risk Management
• +۳ مورد دیگر

Miyuki Hino is an Assistant Professor in the Department of City and Regional Planning and an Adjunct Assistant Professor in the Environment, Ecology, and Energy Program at the University of North Carolina at Chapel Hill. She holds a Ph.D. in Environment and Resources from Stanford University and a B.S. in Chemical Engineering from Yale University. Her research focuses on climate hazards, governance, and public policy , with emphasis on equitable adaptation to climate change. Key areas include sea level rise impacts, flood risk on property markets, and managed retreat strategies. She has conducted extensive work on floodplain development policies, household relocation programs, and community resilience frameworks. Dr. Hino's interdisciplinary approach integrates environmental science, urban planning, and social equity . She collaborates with academic and municipal partners, such as the Center for Urban and Regional Studies and Annapolis, MD local governments, to develop actionable solutions for climate adaptation. Her work bridges technical analyses (e.g., sensor networks, machine learning) with policy design to ensure both effectiveness and justice in climate responses. Recent projects emphasize preventing future 'trapped households' by analyzing zoning policies and market dynamics that drive risky development. She advocates for climate-smart growth strategies to balance economic needs with environmental safety, while addressing disparities in vulnerability across communities. Her research has been featured in Science Advances , Nature Climate Change , and interdisciplinary journals. She actively engages with policymakers to translate findings into practical measures, such as equitable buyout programs and floodplain management reforms.

Devis Tuiaمشاهده پروفایل

دانشیار

• Earth Observation
• Remote Sensing
• Machine Learning
• +۵ مورد دیگر

Devis Tuia serves as Associate Professor at the Swiss Federal Institute of Technology Lausanne (EPFL), holding appointments in the Institute of Environmental Engineering (IIE) within the School of Architecture, Civil and Environmental Engineering (ENAC). He leads the Environmental Computational Science and Earth Observation Laboratory (ECEO) since 2020 and contributes to EPFL's Doctoral Program in Civil and Environmental Engineering. His academic journey began in Lausanne with studies at UNIL and EPFL, culminating in a PhD in remote sensing from UNIL. Postdoctoral research followed at institutions in Valencia, Boulder, and EPFL, focusing on machine learning model adaptation. He progressed from Research Assistant Professor at University of Zurich to Associate and Full Professor at Wageningen University before joining EPFL. Tuia's research bridges Earth observation with artificial intelligence, specializing in interpretable deep learning for environmental applications. His lab develops algorithms for making remote sensing accessible, with particular emphasis on digital wildlife conservation through automated censuses using drone and satellite imagery. Current projects tackle the 'black box' problem in environmental modeling while advancing spatial intelligence for sustainable urban development. His 2023-2025 publication portfolio reveals three dominant trends: (1) species distribution modeling using incomplete observations, (2) multimodal fusion of satellite/drone data with textual descriptions, and (3) interpretable AI frameworks for environmental decision-making. This work consistently addresses real-world challenges like wildfire forecasting and biodiversity monitoring. As an educator, Tuia supervises 12 current PhD students and has graduated 4 former EPFL doctoral candidates. His teaching portfolio includes Frontiers of Deep Learning for Engineers , Sensing and Spatial Modeling for Earth Observation , and Image Processing for Earth Observation courses. The ECEO laboratory maintains active collaborations with ESA-NASA initiatives and conservation organizations globally.

Qifeng Liمشاهده پروفایل

دانشیار

• Convex Optimization
• Nonlinear Systems
• Power and Energy Systems
• +۶ مورد دیگر

Qifeng Li is an Associate Professor at the University of Central Florida specializing in Electrical Engineering with a focus on power and energy systems. His research integrates convex optimization and nonlinear dynamics to address challenges in renewable energy integration, microgrid stability, and energy-water-hydrogen nexus systems. Research Interests: Convex optimization, nonlinear systems, grid resilience, energy-water-food nexus Grants: NSF and DOE projects on microgrid stability and cross-system coordination Professional Roles: Editor for CSEE Journal, IEEE Battery Energy Storage Work Group member Honors: China National Scholarship 2012 His recent publications emphasize data-driven optimization methods, voltage stability analysis, and machine learning applications in power systems. Key trends include hybrid physics-data-driven models, stochastic disturbance analysis, and real-time grid control solutions. Scientific Awards: China National Scholarship (2012)

• Environmental Impact Assessment
• Life Cycle Assessment (LCA)
• Industrial Ecology
• +۴ مورد دیگر

Prof. Dr. Stefanie Hellweg serves as a Full Professor for Ecological Systems Design at the ETH Zürich , Department of Civil, Environmental and Geomatic Engineering. She is Deputy Head of the Institute of Environmental Engineering and leads groundbreaking research at the intersection of industrial ecology, life cycle assessment, and circular economy systems. PhD in Environmental Engineering (ETH Zürich, 2000) Industrial Engineering Degree (Karlsruhe University, 1996) Her research develops advanced methodologies for environmental impact assessment of products and technologies, focusing on: Life Cycle Assessment (LCA) with correlated uncertainty modeling Circular economy implementation in chemical and energy sectors Industrial symbiosis optimization for heat and nutrient flows Urban wastewater systems redesign for resource recovery Chemical pollution analysis in plastic materials Key publication trends reveal expertise in: Hybrid wastewater treatment systems Energy-efficient greenhouse cultivation Exergy analysis for sustainability metrics Machine learning applications in environmental modeling Policy-relevant industrial ecology studies She actively participates in global sustainability initiatives as: President of the International Society of Industrial Ecology (ISIE) Member of UN Environment's International Resource Panel Editorial board member for leading environmental journals

Manisha Kulkarniمشاهده پروفایل

استاد

• Vector-borne Diseases
• Climate Change and Health
• Epidemiology
• +۱۴ مورد دیگر

Dr. Manisha Kulkarni is a Professor at the School of Epidemiology and Public Health, University of Ottawa, where she holds the University Research Chair in Climate Change and Emerging Diseases. She is also the Director of the INSIGHT (Interdisciplinary Spatial Informatics for Global Health) research lab and serves as Scientific Director of the Canadian Lyme Disease Research Network (TickNet Canada). Her work spans global public health, with a focus on vector-borne and zoonotic diseases. PhD in Medical Entomology, McGill University (2006) BSc in Environmental Biology, McGill University (2001) Dr. Kulkarni's research centers on the socio-ecological determinants of infectious disease emergence, particularly malaria, Lyme disease, and West Nile virus. She applies population surveys, entomological field sampling, molecular diagnostics, and GIS to study spatio-temporal patterns and the impacts of climate change and landscape transformation on disease transmission. Her work emphasizes One Health approaches and capacity building in low-resource settings. Her recent research trends show a strong focus on geospatial modeling of vector-borne diseases, climate change adaptation, urban tick surveillance, and international collaborations in Tanzania, Benin, and Latin America. She leads interdisciplinary projects integrating drone mapping, citizen science (e.g., eTick.ca), and community participation to identify disease risk factors. Scientific awards and recognitions include: University Research Chair in Climate Change and Emerging Diseases Ontario Early Researcher Award Faculty of Medicine Award for Leadership in Global Health (2023) Researcher of the Year, Faculty of Medicine (2019) Member, College of New Scholars, Royal Society of Canada NSERC Discovery Grant and CIHR funding Dr. Kulkarni has successfully advised multiple PhD and Master’s students and leads major funded projects supported by CIHR, PHAC, CFI, IDRC, and NSERC. She has held leadership roles as Associate Dean of Global Health (2021–2024) and currently serves on the CIHR Institute of Infection and Immunity advisory board. Her lab, INSIGHT, fosters an interdisciplinary training environment combining field, lab, and analytical methods for global health research. Key research teams and collaborations include: INSIGHT Lab, University of Ottawa Pan-African Malaria Vector Research Consortium (PAMVERC) Canadian Lyme Disease Research Network (TickNet Canada) London School of Hygiene & Tropical Medicine (LSHTM) National Microbiology Lab, PHAC Centre de Recherche Entomologique de Cotonou (CREC), Benin

• Numerical Modeling
• Computational Simulation
• Materials Science
• +۵ مورد دیگر

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

• Power Systems
• Distributed Energy Resources
• Smart Grids
• +۳ مورد دیگر

Gustavo Valverde Mora is a Lecturer at ETH Zurich's Power Systems Laboratory in the Department of Information Technology and Electrical Engineering. His research focuses on distributed energy resources, smart grid technologies, and power system control, with expertise in behind-the-meter DER integration and hosting capacity analysis. His recent work addresses key challenges in renewable energy integration, including voltage control coordination between transmission and distribution networks, data-driven local control schemes for active distribution grids, and unsupervised load disaggregation techniques using smart meter data. He has developed novel methods for DER modeling, GIS-based system analysis, and distribution network planning. Recognized with multiple awards including the 2022 Costa Rican National Technology Award, he actively contributes to IEEE Task Forces on DER integration. His research demonstrates strong emphasis on practical grid applications, combining theoretical power systems knowledge with advanced data analytics. Dr. Valverde teaches Power System Analysis (227-0526-00L) and maintains collaborations with utilities worldwide on renewable integration challenges.

• Artificial Intelligence
• Machine Learning
• Cognitive Robotics
• +۳ مورد دیگر

Dr. Ulrike Kuhl is a Researcher at the University of Bielefeld, serving as Project Coordinator for the AI Academy OWL at the Research Institute for Cognition and Robotics and as Scientific Project Coordinator within the Faculty of Engineering's Machine Learning Group. Her office is located at CITEC 2-412, and she can be reached at +49 521 106-12125. Dr. Kuhl's research spans several interconnected domains at the forefront of human-centered AI development: Explainable Artificial Intelligence (XAI) frameworks and their psychological impact Cognitive learning enhanced through AI technologies Counterfactual explanation methodologies and user behavior Human-AI interaction design principles Applications of machine learning in environmental monitoring and sports analytics Analysis of Dr. Kuhl's publication trajectory reveals a consistent focus on bridging the gap between sophisticated AI systems and human understanding. Her work particularly examines how different explanation types affect user trust and decision-making, with recent publications exploring counterfactual explanations in contexts ranging from water distribution networks to educational technology. She has developed experimental frameworks like the 'Alien Zoo' methodology for systematically studying explanation usability. Dr. Kuhl actively contributes to the Center for Cognitive Interaction Technology (CITEC) at the University of Bielefeld, an interdisciplinary hub where computer scientists, engineers, and cognitive scientists collaborate on next-generation interactive technologies. Through her coordination of the AI Academy OWL initiative, she facilitates regional collaboration between academic researchers and industry partners to advance artificial intelligence applications in the Ostwestfalen-Lippe region.

• Energy Geotechnics
• Environmental Geotechnics
• Wind Energy Civil/Geotechnical Design
• +۴ مورد دیگر

James Tinjum is a Professor in the Department of Civil & Environmental Engineering at the University of Wisconsin-Madison, College of Engineering. His interdisciplinary expertise spans geotechnical, geological, environmental, transportation, and sustainable energy engineering. Education PhD 2006, University of Wisconsin-Madison MS 1995, University of Wisconsin-Madison BS 1993, University of Wisconsin-Madison Research Interests Professor Tinjum’s research integrates energy geotechnics with environmental sustainability. He investigates wind energy site design, district-scale geothermal heating/cooling systems, beneficial reuse of industrial byproducts (e.g., coal-combustion residuals, cement kiln dust), life-cycle environmental analysis, and remediation of contaminated sites. Additional focus areas include thermal conduction in unsaturated soils, landfill liner performance, and PFAS management in Wisconsin. Recent Research Directions His 2020–2024 publications reveal a strong emphasis on geothermal system performance , wind-turbine foundation–soil interaction , and emerging contaminant transport (PFAS, chromium). Fiber-optic distributed temperature sensing (FO-DTS) is a recurring enabling technology, applied to both geothermal borefields and landfill covers. Life-cycle assessment methodologies are consistently employed to quantify environmental benefits of renewable energy and waste-reuse strategies. Scientific Awards 2018 Fellow, American Society of Civil Engineers (ASCE) 2003 ASCE Zone III Practitioner Advisor of the Year 2002 ASCE Wisconsin Section Outstanding Young Engineer Teaching & Mentoring Professor Tinjum teaches core geotechnical courses (Soil Mechanics, Foundation Systems) alongside specialized offerings in wind-energy balance-of-plant design and sustainable systems engineering capstone. He supervises numerous master’s and doctoral students through GLE 790/890 research credits each semester. Labs & Teams He directs field-scale instrumentation campaigns at two wind-turbine sites and multiple campus/district geothermal installations, leveraging fiber-optic sensing networks and thermal response testing to advance energy geotechnics.

• Network Security
• Android Security
• Malware Analysis
• +۶ مورد دیگر

Vijay Laxmi is a Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology (MNIT) Jaipur, India. With over a decade of active research publication from 2014-2024, Dr. Laxmi has established themselves as a prominent researcher in network security, Android security systems, and Network-on-Chip architectures. Their work demonstrates consistent collaboration with Manoj Singh Gaur and numerous doctoral students at MNIT Jaipur. Dr. Laxmi's research interests span Network Security, Android Security, Malware Analysis, Network-on-Chip Architectures, Routing Protocols, Side-Channel Attacks, Wireless Networks, and Mobile Security. Their work bridges theoretical security frameworks with practical implementations, particularly in mobile and embedded systems. Recent publications indicate a growing focus on AI-based security approaches including GAN applications for fuzzing and deep learning for image dehazing. The research trajectory shows increasing sophistication in security analysis techniques, evolving from basic malware detection to advanced side-channel attack analysis and sophisticated network security protocols. Recent publications demonstrate expertise in both theoretical frameworks and practical implementations with applications in real-world security challenges. Dr. Laxmi has mentored numerous graduate students including Vineeta Jain, Anugrah Jain, Sonal Yadav, Mohit Singh, and Gaurav Singal, who appear as co-authors across multiple publications. Their collaborative network extends to researchers at international institutions, indicating strong academic connections beyond their home institution.

Ruchi Choudharyمشاهده پروفایل

استاد

• Urban Energy Systems
• Building Energy Modeling
• Sustainable Cities
• +۷ مورد دیگر

Professor Ruchi Choudhary is a Professor in Architectural Engineering at the University of Cambridge, Department of Engineering, within the School of Technology. She leads the Energy Efficient Cities initiative (EECi), a cross-disciplinary research project focused on strengthening the UK's capacity to address energy demand reduction and environmental impact in cities through research in building and transport technologies, district power systems, and urban planning. Her research interests span urban energy systems, building energy modeling, sustainable cities, geothermal energy systems, and data-driven energy modeling . She has pioneered work in digital twins for energy systems, urban subsurface thermal modeling, and building-integrated agriculture. Her research group develops numerical tools to improve energy efficiency of cities, with particular focus on modeling energy consumption of large building sets at multiple time and spatial resolutions. Analysis of her recent publications reveals a strong trend toward integrating machine learning with physics-based modeling for energy systems, with increasing emphasis on uncertainty quantification, digital twins, and value of information analysis for decision-making. Her work bridges the gap between theoretical modeling and practical urban implementation, with significant focus on city-scale geothermal potential, underground climate change impacts, and energy equity considerations. Professor Choudhary has supervised numerous PhD students who have gone on to prominent positions at institutions including UCL, University of Cambridge, BEIS, Arup, and various international universities. Her research group includes faculty members, research associates, graduate students, and international collaborators from institutions worldwide. Her current research focuses on two parallel investigations: one on using multi-scale multidisciplinary models to address energy use questions in the built environment, and second, on quantifying uncertainties in model outcomes. Current projects include integration of food production in urban environments, analysis of underground transport systems as energy sources, large-scale integration of ground source heat pumps, and distributed energy networks.

Marcella Lusardiمشاهده پروفایل

استادیار

• Catalysis
• Materials Science
• Sustainable Energy
• +۴ مورد دیگر

Marcella Lusardi is an Assistant Professor in the Department of Chemical and Biological Engineering and the Princeton Materials Institute at Princeton University, leading interdisciplinary research at the intersection of materials synthesis, catalysis, and sustainability. Her educational background includes: Ph.D. in Materials Science and Engineering from MIT (2018) B.S. in Chemical Engineering from Columbia University (2012) Dr. Lusardi's research focuses on designing advanced catalytic materials for environmental challenges, with core expertise in surface science, light-matter interactions, and complex materials processing. Her group develops natural and engineered materials for energy and sustainability applications, emphasizing CO 2 capture/reduction, pollution abatement, and photocatalysis through molecular-level catalyst design. The MatCat Lab integrates experimental techniques like NMR spectroscopy with computational guidance to create scalable solutions for closed carbon cycles and greener chemical processes. Analysis of her 15 most recent publications (2019-2025) reveals a dominant focus on zeolite-based catalysis for CO 2 conversion and carbonylation reactions, with growing emphasis on supramolecular assemblies and water-tolerant acid catalysts. Her work consistently bridges fundamental material properties with practical sustainability applications, showing progression toward integrated systems for direct air capture and light-mediated reactions. The MatCat Lab employs a highly interdisciplinary approach centered on defect engineering in silica matrices and molecular recognition for supramolecular networks. Current projects target tailored reaction environments for CO 2 reduction and microplastic oxidation, utilizing advanced synthesis methods and structural elucidation to develop practical catalytic technologies for a sustainable future.

Christian Poellabauerمشاهده پروفایل

استاد

• Mobile Sensing
• Data Analytics
• Healthcare Technology
• +۷ مورد دیگر

Christian Poellabauer is a Professor at Florida International University (FIU) in the Knight Foundation School of Computing and Information Sciences, serving as Interim Associate Dean for Research and Graduate Studies in the College of Engineering & Computing. He holds a Ph.D. from Georgia Institute of Technology (2004) and a Diplom-Ingenieur from TU Vienna (1998). His research focuses on mobile sensing, data analytics, and healthcare technologies, leading the MOSAIC Lab which develops solutions for healthcare, IoT, and smart cities. He previously led the Mobile Computing Lab at the University of Notre Dame and held leadership roles in data science institutes. Research Interests: His work spans digital biomarkers for neurodegenerative diseases, speech analysis for mental health, wearable device authentication, and wireless sensor networks. The MOSAIC Lab addresses challenges like real-time sensor data analysis on constrained devices and translating insights into clinical applications. Teaching: He has taught courses on Operating Systems, Mobile Computing, and Smart Health at both FIU and Notre Dame. Recent courses include COP4610 (Operating Systems Principles) and COP5614 (Graduate Operating Systems) at FIU. Service: He serves as Associate Editor for IEEE Transactions on Network Science and Engineering, and has organized conferences like ICNC 2023 and IEEE MASS 2021. His academic service includes roles on editorial boards and technical program committees for major conferences in distributed computing and networking. Advising & Labs: Advises current Ph.D. students in areas like multi-modal sensing for affective computing and mental health crowdsensing. Past students have pursued roles in academia and industry (e.g., Rose-Hulman Institute of Technology, Facebook, Microsoft). The MOSAIC Lab collaborates on projects like digital clinical outcome assessments and motor impairment detection.

• Urban Water Systems
• Applied Fluid Mechanics
• Storm Drainage
• +۱۲ مورد دیگر

Professor Cedo Maksimovic is a leading academic in the Department of Civil and Environmental Engineering at Imperial College London, Faculty of Engineering. He is a Principal Research Fellow and heads the Urban Water Research Group (UWRG), with affiliations to the Environmental and Water Resource Engineering group, Grantham Institute, Space Lab, and Urban Systems Lab. His research focuses on urban water systems , including storm drainage, urban flooding, water supply, and the interaction between urban infrastructure and the environment. He has pioneered work in applied fluid mechanics , smart water infrastructure , and flood risk management , with innovations such as the AOFD method for urban surface flood modelling and intelligent sensor networks recognized by the ICE Telford Gold Medal. His recent research, as reflected in publications, spans urban pluvial flooding , leakage detection , integrated urban water management , and blue-green infrastructure . These works emphasize computational modelling, real-time monitoring, and climate resilience in urban environments. UNESCO/IAHR Lecturer of the Year 2001 ICE Telford Gold Medal (WINES project team) Prof. Maksimovic has led major projects funded by EPSRC, EU (Climate-KIC, Interreg), UNESCO, and ERANET_CRUE. He advises postgraduate students and has created international educational initiatives like the EDUCATE programme. He also serves as Editor-in-Chief of the Urban Water Book Series and co-founded the Urban Water journal. He leads the UNESCO-endorsed IRTCUD/CUW network with centres in Banjaluka, Belgrade, Cairo, Kuala Lumpur, London, Porto Alegre, Tehran, and Trondheim, promoting global collaboration in urban water research and education.