جست‌وجوی استاد و پژوهشگر

• Wind-Driven Rain
• Hygrothermal Performance
• Building Envelopes
• +۷ مورد دیگر

Hua Ge is a Professor in the Department of Building, Civil and Environmental Engineering at Concordia University's Faculty of Engineering and Computer Science. She holds a Tier II Concordia University Research Chair in High Performance Building Envelope for Climate Resilient Buildings and leads extensive research in building science and climate adaptation. Her research focuses on wind-driven rain analysis , hygrothermal performance of building envelopes , advanced building facades , innovative wood-frame construction , and low-energy buildings . Current work examines climate change impacts on wind-driven rain loads, urban micro-climate effects, climate-resilient building envelopes, dynamic facades, and low-carbon healthy buildings. Her methodology combines large-scale laboratory testing, field monitoring, and computational modeling. Her 15 most recent publications demonstrate strong trends in nature-based climate resilience solutions , overheating risk mitigation in educational buildings , advanced hygrothermal modeling of wood-frame systems , and carbon sequestration strategies for buildings. The work spans multiple sub-disciplines including computational fluid dynamics, life cycle assessment, stochastic modeling, and field validation studies across Canadian climates. Tier II Concordia University Research Chair (CURC) in High Performance Building Envelope for Climate Resilient Buildings Professional Engineers of Ontario American Society of Heating, Refrigerating and Air-conditioning Engineers ASHRAE TC4.4 Building materials and building envelope performance (Subcommittee Chair) Professor Ge has supervised 42 graduate students (26 PhD, 16 MASc), including current advisees working on nature-based solutions, climate-resilient envelopes, and building integrated photovoltaics. Her research is supported by Concordia University Research Chair funding and collaborative projects with institutions like BCIT. She directs activities at Concordia's Building Envelope Test Facility and contributes to national standards through ASHRAE.

• Wind Engineering
• Structural Engineering
• Cyclone and Windstorm Damage Assessment
• +۷ مورد دیگر

David Henderson is the Director of the Cyclone Testing Station (CTS) in the School of Engineering and Physical Sciences at James Cook University, Australia. He has over two decades of experience as a research engineer specializing in the performance of low-rise buildings under extreme wind conditions. He previously served as the CTS Research Fellow and Manager, and was seconded as a Postdoctoral Researcher at the University of Western Ontario, Canada, working on full-scale house testing under simulated wind loads. His work bridges engineering research, disaster assessment, and policy development. David's research focuses on wind engineering, structural resilience, and disaster mitigation. His key interests include cyclonic wind loading, internal and external pressure dynamics in buildings, fatigue failure of structural connections, and the vulnerability of housing to severe wind events. He has conducted post-disaster surveys across Australia and Canada, assessing damage from cyclones, tornadoes, and earthquakes. His research has direct applications in building codes, retrofitting strategies, and community risk reduction. The recent publications highlight a strong trend in understanding and mitigating wind-induced damage to residential structures, particularly through full-scale testing, modeling of pressure dynamics, and fragility assessment of roofing systems. His work spans experimental, theoretical, and policy-oriented domains, with a growing emphasis on climate change adaptation and community resilience. Topics such as internal pressure design, load sharing in roof frames, and retrofitting for wind resistance are central to his contributions. 14 research awards (specific names not listed) Active member of Standards Australia code committees Invited speaker at national and international conferences Media contributor on storm damage and building safety David has led multiple research projects funded by councils and agencies focused on extreme wind mitigation, data systems (SWIRLnet), and community risk reduction. While formal student supervision is not explicitly listed, he collaborates extensively with researchers such as John Ginger, Korah Parackal, and Daniel Smith. He has contributed to major studies involving wind load testing, housing vulnerability modeling, and climate adaptation planning. David is a key figure in the Cyclone Testing Station, leading its full-scale testing program and contributing to the development of software for controlled load and measurement systems. His team conducts wind risk assessments for communities and large installations, incorporating terrain analysis and retrofitting evaluations. The CTS serves as a national resource for wind engineering research and disaster resilience innovation.

Chen Liuمشاهده پروفایل

استادیار

• Machine Learning
• Adversarial Robustness
• Privacy-Preserving Machine Learning
• +۹ مورد دیگر

Chen Liu is an Assistant Professor in the Department of Computer Science at City University of Hong Kong and the Principal Investigator (PI) of the Machine Learning and Optimization (MLO) group. His research focuses on building reliable machine learning models, particularly studying robustness and privacy properties of deep neural networks from an optimization perspective. University: City University of Hong Kong Academic Rank: Assistant Professor Students: Supervises multiple PhD, MPhil, and postdoctoral researchers. Education: Holds a Ph.D. (2022) and MSc (2017) in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), and a BSc (2015) in Computer Science from Tsinghua University. Research Interests: Adversarial robustness, privacy-preserving machine learning, optimization algorithms, dataset distillation, generative models, and theoretical analysis of loss landscapes. His work addresses challenges like catastrophic overfitting, architecture overfitting in distilled data, and stable adversarial training methods. Article Trends: Recent publications explore adversarial robustness under l0/l1 norms, gradient inversion for data reconstruction, evolutionary factor searching in finance, and meta-tuning for out-of-domain few-shot learning. These works emphasize optimization techniques to enhance model reliability and generalization. Scientific Awards: Microsoft Research Ph.D. Scholarship Programme (2017–2019) Advising and Grants: Supervises a diverse team of current and former students, with collaborations across institutions like George Mason University and Zhejiang University. Research supported by academic and industry grants. Labs and Teams: Leads the MLO group, which investigates fundamental ML theory and algorithms to improve system reliability. The group's work spans adversarial training, dataset distillation, and generative model optimization.

Marina Bockمشاهده پروفایل

مدرس

• Numerical Modelling
• Laboratory Experiments
• Metallic Structures
• +۳ مورد دیگر

Dr. Marina Bock is a Chartered Civil Engineer and Lecturer in Civil Engineering at Aston University's College of Engineering and Physical Sciences. She specializes in structural engineering with expertise in metallic structures, additive manufacturing, and numerical modeling. Currently accepting PhD students, her work bridges academic research and industry applications in sustainable construction. Her educational background includes: PG Cert in Building and Design and Construction Technology, University of Wolverhampton (2017-2018) PhD in Local Buckling and Web Crippling Response of Stainless Steels, Universitat Politècnica de Catalunya (2010-2015) MSc in Patch Loading of Hybrid Plate Girders, Universitat Politècnica de Catalunya (2004-2010) Dr. Bock's research integrates laboratory experiments and numerical modeling to advance metallic structural systems, with pioneering work in additive manufacturing for construction. Her investigations span stainless steel design code development, corrosion prevention in reinforced concrete using hydrogels, and cold-formed steel behavior. Recent projects focus on sustainable infrastructure solutions through novel composite materials. Analysis of her 2022-2025 publications reveals dominant themes in additive manufactured aluminum structures, cold-formed steel design methodologies, and sustainable paving materials for urban heat island mitigation. Her work consistently addresses practical engineering challenges through experimental validation and code-compliant design solutions. Scientific recognition includes: IStructE Academic Research Award Commendation (2021) for research on aluminum SHS/RHS under biaxial bending Dr. Bock has secured significant research funding including a Royal Society Research Grant (£20k, 2023) for additive manufactured Al7075 aluminum and Innovate UK funding (£437k) for UV-reflective resin-based paving. Previous internal projects (£20k) focused on structural aluminum applications. She supervises PhD research in additive manufacturing and corrosion prevention while maintaining industry collaborations. Her experimental work utilizes advanced university laboratories for structural testing, with collaborations spanning European research consortia and industrial partners. Current projects involve multi-institutional teams developing reusable structural systems and solar-energy-harvesting building envelopes.

Pamela Murray-Tuiteمشاهده پروفایل

استاد

• Transportation Systems
• Disasters and Hazards
• Resilience
• +۱۲ مورد دیگر

Dr. Pamela Murray-Tuite is a Professor of Civil Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Her work bridges transportation systems, disaster resilience, and emergency response modeling. Education: B.S. (1998), M.S. (1999), and Ph.D. (2003) in Civil Engineering from the University of Texas at Austin and Duke University Teaching: Courses include CE 3110 Transportation Engineering and CE 8930 Mathematical Modeling for Civil Infrastructure Systems Analysis Her research focuses on transportation resilience , with emphasis on evacuation modeling, emergency response, and infrastructure interdependence. She explores the impact of disasters on mobility patterns, utilizing mathematical modeling and simulation tools to enhance urban systems' robustness. The 15 most recent articles span hurricane evacuation behavior, agent-based modeling, and infrastructure resilience under climate change. Keywords include transportation systems, disaster management, and behavioral modeling, while subfields cover evacuation routing, network analysis, and risk perception dynamics. Dr. Murray-Tuite's work integrates statistical methods with transportation policy, addressing challenges in both natural disasters and public sector disruptions. Her contact details include office location (210 Lowry Hall) and phone (864-656-3802).

Cynthia Cruickshankمشاهده پروفایل

استاد

• Building Energy Systems
• High Performance Buildings
• Solar-Assisted Heat Pumps
• +۵ مورد دیگر

Cynthia Cruickshank is a Full Professor in Mechanical and Aerospace Engineering at Carleton University and currently serves as Associate Dean for Equity, Diversity, and Inclusion within the Faculty of Engineering and Design. She holds degrees including a B.Sc. and Ph.D. from Queen's University. Her research focuses on advanced building energy systems, high-performance buildings, and sustainable construction materials. Key areas include solar-assisted heat pumps, thermal energy storage (both sensible and latent), and solar absorption cooling. She leads the Centre for Advanced Building Envelope Research (CABER), dedicated to innovative building envelope technologies. Her recent work examines telework impacts on home energy use, smart thermostat data analysis, and the integration of bio-based phase change materials in construction. Over 150 peer-reviewed articles highlight her contributions to energy efficiency, renewable energy systems, and building retrofit strategies. Prof. Cruickshank's research teams collaborate on projects such as solar-driven adsorption systems, vacuum insulation panel retrofits, and policy implications of remote work. Her labs emphasize experimental validation of novel materials and systems through guarded hot box testing, hygrothermal modeling, and in-situ evaluations.

Yan Songمشاهده پروفایل

استاد

• Urban Planning
• Land Use Planning
• Environmental Planning
• +۳ مورد دیگر

Dr. Yan Song is a Professor and Director of the Program on Chinese Cities (PCC) at the University of North Carolina at Chapel Hill's Department of City and Regional Planning. She specializes in land use and environmental planning, focusing on low-carbon urban development, spatial analysis of urban form, and China’s urbanization policies. Her work integrates GIS and computer-aided tools to assess urban growth and sustainability challenges. Her research examines domestic and international issues including urbanization drivers, green city development tools, land and housing market dynamics, and urban-transportation integration. Dr. Song leads the PCC, which investigates China’s urbanization impacts on environments and seeks equitable, sustainable growth strategies. Her projects are funded by NSF, EPA, HUD, and the Lincoln Institute of Land Policy. Research highlights include studies on rural-urban spatial restructuring, policy spillover effects, and energy transition mechanisms. She has consulted for Shenzhen’s city government and Beijing’s urban planning institutions. Dr. Song’s interdisciplinary approach bridges planning, environmental science, and policy, addressing global challenges like climate resilience and digital finance’s role in green development. Her advising focuses on PhD students interested in Chinese urban issues, and she holds affiliate roles at the National Center for Smart Growth and Lincoln Institute. Recent work emphasizes the 5R urban retrofitting framework, equity in heat mitigation, and the interplay between technology adoption and environmental governance.

• Autophagy
• Cell Biology
• Membrane Biology
• +۳ مورد دیگر

Thomas Melia is a Professor of Cell Biology at the Yale School of Medicine, part of Yale University. He leads the Melia Lab, focusing on autophagosome biogenesis and membrane dynamics during autophagy. His research integrates cell-based assays with advanced imaging techniques like electron cryo-microscopy. Key areas include understanding membrane sources for autophagosomes, lipid transport mechanisms, and organelle formation under cellular stress. Education: PhD in Biochemistry from Baylor College of Medicine (1999), BS in Biological Sciences from Carnegie Mellon University (1992) Research Interests: Autophagy, lysosomal biology, membrane trafficking, and protein aggregate clearance Lab Affiliations: Collaborates with departments like Biochemistry, Quantitative Biology, and Molecular Cell Biology Melia's work bridges molecular mechanisms with cellular function, particularly in how cells respond to starvation or pathogen invasion by degrading cytosolic components. Recent studies highlight roles for dynamin-like proteins in nuclear autophagy and lipid transfer proteins in organelle biogenesis.

Qian Zhangمشاهده پروفایل

استادیار

• Climate Change Mitigation
• Sustainable Mining
• Life Cycle Assessment
• +۷ مورد دیگر

Dr. Qian Zhang serves as Assistant Professor in the Robert M. Buchan Department of Mining at Queen's University's Smith Engineering, leading the Green Mining Value Chain (GreeMVC) Lab. His research develops strategic frameworks for sustainability and resilience throughout mining value chains, with emphasis on climate change mitigation and resource efficiency in global mineral systems. His academic foundation includes a Ph.D. in Urban Engineering from the University of Tokyo (awarded Japanese Government MEXT Scholarship), complemented by MSc and BSc degrees in Environmental Science plus a Minor in Economics from Peking University. Prior to his current role, he conducted postdoctoral research at the University of Victoria and University of Tokyo while consulting for the World Resources Institute on climate-energy initiatives. Dr. Zhang's expertise spans carbon footprint analysis , life-cycle assessment , and industrial ecology applied to mining systems. He employs advanced methodologies including input-output analysis and material flow accounting to model environmental pressures across urban infrastructure and mineral supply chains. His work specifically addresses greenhouse gas accounting, water-energy nexus challenges, and circular economy implementation in resource-intensive sectors. Recent publications reveal strong methodological convergence between artificial intelligence and environmental assessment, particularly in optimizing mining operations through reinforcement learning and geospatial analysis. Key thematic clusters include carbon accounting standardization, critical mineral sustainability, and policy-oriented modeling of environmental pressures throughout mineral value chains. His research program is supported by major competitive grants: NSERC Discovery Grant (2022-2027) SSHRC Institutional Grant (2023, 2025) NSERC Alliance Missions Grant (2023, 2024) Mitacs Accelerate Grant (2023, 2025) NFRF Exploration Grant (2025-2027) NRCan Energy Innovation Program (2025) Dr. Zhang actively mentors a dynamic research group comprising 10+ graduate students and postdocs, securing collaborative funding through institutional and federal channels. His GreeMVC Lab maintains active partnerships with industry leaders and government agencies to translate research into practical sustainability solutions for the mining sector, with current projects focusing on AI-driven fleet management and life-cycle assessment of mineral supply chains. The GreeMVC Lab operates as a multidisciplinary hub with structured mentorship programs, regular industry engagement events, and international collaborations including the COM symposium on sustainable circularity. The lab's physical space in Goodwin Hall supports advanced computational analysis of mining value chains while fostering innovation in green mining technologies through student-led research initiatives.

Marek Baslerمشاهده پروفایل

دانشیار

• Type VI Secretion System (T6SS)
• Bacterial Virulence
• Structural Biology of Nanomachines
• +۵ مورد دیگر

Prof. Dr. Marek Basler is an Associate Professor of Infection Biology at the Biozentrum, University of Basel , leading a research group focused on the Type VI Secretion System (T6SS) in bacterial pathogens. His work bridges structural biology, molecular microbiology, and computational analysis to unravel the mechanisms of this contractile nanomachine. PhD in Microbiology (2007, Institute of Microbiology, CAS, Prague) Postdoctoral Fellow (2007–2013, Harvard Medical School) Assistant Professor (2013–2018) and Associate Professor (since 2018) at Biozentrum His research explores the structure, assembly, and therapeutic potential of the T6SS, a critical virulence factor in pathogens like Pseudomonas aeruginosa . Key themes include bacterial defense strategies , intermicrobial competition , and host-pathogen interactions . Recent projects highlight T6SS roles in antibiotic resistance and horizontal gene transfer . The most recent publications (2025–2024) reveal novel insights into T6SS activation by environmental stress , toxin diversity , and host cell targeting . Trends span microbial ecology , nanomachine dynamics , and computational modeling of bacterial interactions. Scientific Awards : EMBO Membership (2023) ERC Consolidator Grant (2019) EMBO Gold Medal (2018) Friedrich Miescher Award (2018) EMBO Young Investigator (2015) His lab (Basler Lab) utilizes state-of-the-art microscopy , biochemical techniques , and live-cell simulations (e.g., BacFighT6 ). Collaborations span institutions like Harvard Medical School and NCCR-AntiResist , with future work targeting antibacterial therapies .

Michael Veitمشاهده پروفایل

دانشیار

• Virology
• Viral Cell Biology
• Virus–Host Membrane Interactions
• +۵ مورد دیگر

PD Dr. Michael Veit is an Associate Professor (Privatdozent) at the Institute of Virology, School of Veterinary Medicine, Freie Universität Berlin , where he heads the independent Research Group Veit – Cell Biology of Viral Infections . He is a faculty member of the Center for Infection Medicine and participates in the Berlin Equine Virus Lab (BEVL). Education & Training Doctorate (Dr. rer. nat.) in Virology/Biochemistry – exact institution not stated in text. Post-doctoral qualification (Privatdozent) awarded by Freie Universität Berlin. Research Focus Veit’s laboratory investigates the molecular and cellular biology of enveloped RNA viruses , with emphasis on virus–host membrane interactions and post-translational lipid modifications (S-acylation/palmitoylation). His group combines reverse genetics, live-cell imaging, mass spectrometry and structural approaches to dissect how viral glycoproteins are modified, trafficked and assembled into infectious particles. Model pathogens include influenza A, B, C and D viruses, coronaviruses (SARS-CoV-2, MERS-like CoVs, PHEV, PDCoV), arteriviruses (PRRSV, EAV), alphaviruses (Getah, CHIKV-like), and other emerging zoonotic agents. Publication Trends From 2020 to 2025 Veit has published >30 high-impact articles that cluster around four major themes: (i) coronavirus surveillance and zoonotic risk assessment , (ii) mechanistic dissection of protein acylation in influenza and arteriviruses , (iii) structure-function analysis of viral entry receptors (ACE2, LDLR), and (iv) development of reverse-genetic tools and reporter viruses for antiviral screening. Grants & Collaborative Networks Ongoing third-party funded projects coordinated by Veit are not explicitly listed in the text, but the continuous publication output and mention of “Current Collaborations” imply active grant support. He collaborates closely with other FU Berlin groups (Osterrieder, Kaufer, Azab) and international partners on coronavirus and influenza consortia. Laboratory & Teams The Research Group Veit comprises post-docs, PhD students and technicians working in BSL-2 and BSL-3 facilities at the Institute of Virology. Core platforms include confocal & FLIM microscopy, quantitative proteomics, and reverse-genetics suites for segmented RNA viruses.

Steven R. Hallمشاهده پروفایل

استاد

• Aerospace control applications
• Optimal control theory

Steven R. Hall is a Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), School of Engineering. His research focuses on aerospace control applications and optimal control theory, with significant contributions to helicopter vibration reduction and actuator design. Education: S.B., 1980; S.M., 1982; Sc.D., 1985, all from MIT Dr. Hall's work bridges aerospace systems and electrochemical actuation, exploring innovative methods for vibration control and structural dynamics in rotorcraft. His career spans both technical and administrative roles, including Chair of the MIT Faculty (2013–2015). His recent publications highlight expertise in aerospace controls , rotor dynamics , electrochemical actuators , and engineering education . Notably, his 2024 article on dental prosthetics’ entrepreneurial aspects deviates from his core aerospace themes. Scientific Awards: Tau Beta Pi Member (1983–1985), Hertz Fellow (1998), Raymond L. Bisplinghoff Fellow Dr. Hall has served in leadership positions at MIT, including Assistant Department Head (1997–1998), and is affiliated with the Aerospace Controls Lab . His career demonstrates a commitment to advancing aerospace technology and education.

Christoph Benningمشاهده پروفایل

استاد

• Lipid metabolism
• Photosynthetic organisms
• Chloroplast membrane assembly
• +۳ مورد دیگر

Christoph Benning is a University Distinguished Professor at Michigan State University, holding appointments in the Department of Biochemistry & Molecular Biology , Molecular Plant Sciences Program , Plant Biology , and Genetics & Genome Sciences Program . He leads the MSU-DOE Plant Research Laboratory and contributes to the Cell & Molecular Biology Program and BioMolecular Science Gateway . Ph.D., 1991, Michigan State University M.S., 1986, Albert-Ludwigs Universitaet, Freiburg, Germany Postdoctoral Researcher, 1991-1993, Michigan State University Group Leader, 1993-1997, Institut fuer Genbiologische Forschung Berlin GmbH His research centers on lipid metabolism in photosynthetic organisms , with a focus on chloroplast membrane assembly, lipid remodeling under stress, and biofuel production from algae. His lab uses Arabidopsis and Chlamydomonas to study genetic and biochemical mechanisms governing lipid biosynthesis, stress tolerance, and cellular quiescence in algae. Recent publications highlight advancements in chloroplast nanofactories , ER-chloroplast lipid transport , and WRINKLED1 transcription factor engineering to boost lipid accumulation. These works span synthetic biology , metabolic engineering , and environmental stress responses in plants and algae. Scientific Awards : Fellow of the American Society of Plant Biologists (2025), Member of the National Academy of Sciences (2025), Senior Member of the National Academy of Inventors (2022), and multiple teaching/mentoring awards. Advising : Recognized for mentoring graduate and postdoctoral researchers. Labs & Collaborations : Leads the Benning Lab at MSU, with DOE-funded projects and partnerships in algal biofuel research.

Tim Rogersمشاهده پروفایل

استاد

• Stochastic Processes
• Random Matrix Theory
• Collective Behavior
• +۴ مورد دیگر

Professor Tim Rogers is affiliated with the University of Bath as a faculty member in the Department of Mathematical Sciences . He is actively involved in research spanning complex systems, network theory, and stochastic processes. PhD in Random Matrix Theory from King's College London (2010) His research focuses on emergent behavior in random systems , including: Collective Behavior : Crowd dynamics, lane formation, and noise-enhanced synchronization Epidemics & Networks : Spread prediction, node risk assessment, and misinformation impacts Ecology & Evolution : Trait emergence, species boundaries, and demographic noise effects Random Matrix Theory : Spectral analysis and applications to complex systems Publication trends reflect interdisciplinary work bridging Physics, Biology, and Mathematics , with a focus on network structures , stochastic modeling , and emergence phenomena . Scientific awards include: 2015 : Editor's Choice for Europhys. Lett. 109, 28005 2016 : Highlight of Journal of Physics A 2017 : Editor's Suggestion for Phys. Rev. E 92, 032708 He has supervised numerous PhD students and postdocs on projects related to stochastic dynamics , network modeling , and mathematical biology , with ongoing grants from agencies like EPSRC and The Leverhulme Trust .

• Cold-Formed Steel Structures
• Buckling and Post-Buckling Behavior
• Meshfree Methods
• +۶ مورد دیگر

Dr. Mani Khezri is a Lecturer in the School of Civil Engineering at The University of Sydney since 2014, specializing in structural mechanics and innovative numerical methods. His research focuses on cold-formed steel structures, buckling behavior of plates and laminated assemblies, and functionalizing buckling for structural morphing. He holds a Ph.D. in Structural Engineering from UNSW, an M.Sc. from SUT, and a B.Sc. from IUT. Key research areas include extending cold-formed steel applications to mid-rise structures through built-up sections, analyzing buckling and post-buckling behaviors, and leveraging buckling for smart technologies like kinetic façades. He collaborates with industry to develop affordable, prefabricated structures and sustainable materials through additive manufacturing. His work bridges theoretical analysis (e.g., meshfree methods) with practical applications, such as optimizing ventilation systems via buckling-induced airflow control. He leads grants like 'Solid-State Additive Manufacturing For Recycled Aluminium Alloys' and 'Complete limit state analysis of steel structural framework.' Students include Pouya AFSHAR IMANI (additive manufacturing), Cynthia LIU (built-up columns), Emad TAYARANINAJJARAN (floor systems), and Ruilin ZHANG (serviceability analysis). His lab, the Centre for Advanced Structural Engineering, explores advanced structural systems and computational mechanics.