جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Sustainable Materials
• Recycled Plastics
• +۵ مورد دیگر

Dr. Aziz Ahmed is a Senior Lecturer in Structural Engineering at the University of Wollongong's School of Civil, Mining, Environmental and Architectural Engineering. He holds a PhD from the National University of Singapore (2013) and has held roles including Associate Research Fellow (2016-2021) and Lecturer (2021-2024) before his current position since 2025. His research focuses on sustainable infrastructure, structural optimization, recycled materials, and renewable energy systems. He has secured over 30 grants including ARC Industrial Transformation Research Hub funding and NSF-CSIRO collaborations. Education: BSc (Civil Engineering, Bangladesh University of Engineering and Technology, 2007), PhD (Structural Engineering, NUS, 2013), Postdoctoral Fellowship at NUS. Certifications: PMP (Project Management Institute). Research interests span structural steel optimization, 3D printing of sustainable materials, marine energy systems, and occupational safety technologies. He leads projects like the ReCreateIt NSF initiative transforming plastic waste via 3D printing and the Steel Innovation Hub. His work aligns with UN SDGs 3,7,9,11,13 addressing health, energy, industry, cities, and climate action. Teaching: Coordinates courses in construction management, engineering mechanics, and computer modeling. Supervises PhD/MPhil students on topics like recycled plastics in construction, cold-formed steel structures, and offshore wind turbine design. Actively applies AI and flipped classrooms in teaching. Service: Member of American Society of Civil Engineers, Engineers Australia. Serves on UOW's Early Career Academic Network and chairs Academic Integrity committees. Peer reviewer for 13 top-tier journals including Engineering Failure Analysis and Journal of Constructional Steel Research . Awards include Best Presentation at Steel Hub Symposium 2019 and recognition for contributions to teaching and learning. His lab develops wearable sensors for construction safety and AI-driven chatbots for knowledge sharing.

Ahmed A. Ibrahimمشاهده پروفایل

استاد

• Structural Engineering
• Concrete Design
• Bridge Safety
• +۲ مورد دیگر

Ahmed Ibrahim is Professor in Civil & Environmental Engineering at the University of Idaho. He holds a PhD from the University of Missouri-Columbia and researches structural performance under extreme loads. His work combines experimental testing and computational modeling to enhance infrastructure resilience. Key research domains: Non-linear behavior of concrete structures Blast and impact resistance Bridge design and assessment Infrastructure materials innovation Structural health monitoring Recent publications address bridge deterioration modeling, collision resilience, and AI-based crack detection. Funded projects include Idaho DOT collaborations on concrete characterization and safety evaluations of oversized vehicles.

Jian Shiمشاهده پروفایل

دانشیار

• Power Systems
• Renewable Energy
• Artificial Intelligence
• +۵ مورد دیگر

Jian Shi is an Associate Professor jointly appointed in the Department of Engineering Technology and the Department of Electrical and Computer Engineering at the University of Houston, within the Cullen College of Engineering. He holds a Ph.D. in Electrical and Computer Engineering from Mississippi State University (2014). His research focuses on sustainable energy systems, smart grids, maritime decarbonization, and AI-driven power system optimization. Shi leads the SOAR Lab, advancing innovations in energy storage, grid resilience, and transportation electrification. Education: Ph.D. in Electrical and Computer Engineering, Mississippi State University, 2014 Research Interests: Power Systems & Energy Storage Renewable Integration & Decarbonization Artificial Intelligence in Grid Management Maritime & Port Sustainability Resilient Infrastructure Design His work bridges theoretical advancements with practical applications, including hybrid energy storage systems, fault-tolerant architectures, and game-theoretic models for green shipping. Recent projects address urban sustainability through multimodal accessibility analysis and CO₂ pipeline optimization. Lab & Leadership: Director of the SOAR Lab, fostering interdisciplinary research in energy systems and smart technologies.

Riyadh Hindiمشاهده پروفایل

استاد

• Structural Engineering
• Earthquake Engineering
• Bridge Engineering
• +۳ مورد دیگر

Dr. Riyadh Hindi is a Professor of Civil Engineering at Saint Louis University's School of Science and Engineering. He holds a Ph.D. in Structural and Earthquake Engineering from the University of British Columbia, M.Sc. in Structural Engineering from University of Baghdad, and B.Sc. in Civil Engineering (First Class Honors) from University of Baghdad. His expertise encompasses non-linear behavior of concrete structures, seismic performance of bridges, and experimental analysis of structural components. Dr. Hindi's research focuses on structural response under extreme loads, including cyclic behavior of reinforced concrete, confinement techniques for bridge columns, and damage modeling. He directs the Concrete and Materials Laboratory featuring 500,000 lbs capacity testing equipment. His work integrates experimental testing with analytical modeling to improve infrastructure resilience. Recent publications demonstrate strong focus on construction-phase structural behavior (girder rotation mitigation), advanced materials (GFRP composites, high-strength concrete), and computational methods (deep learning applications). His 2025 publications indicate emerging emphasis on AI-based structural health monitoring. Honors include Fellowship in the Structural Engineering Institute (F.SEI) and professional memberships in ACI, ASCE, and IABMAS. He chairs ACI-343A subcommittee on concrete bridge design and serves as associate dean for graduate education. Dr. Hindi has supervised over 20 graduate theses and led research projects funded by NSF, Caltrans, and state DOTs. His team addresses practical construction challenges through field monitoring and develops retrofit solutions for aging infrastructure.

Irfan Khanمشاهده پروفایل

استادیار

• Cybersecurity
• Intelligent Automation
• Smart Grid Resiliency
• +۲ مورد دیگر

Irfan Khan is an Assistant Professor at Texas A&M University's Department of Marine Engineering Technology, with a joint appointment in Electrical and Computer Engineering. His research focuses on cybersecurity for critical infrastructure, smart grid resiliency, and electric vehicle systems. He earned his Ph.D. (2018) and M.S. (2017) from Carnegie Mellon University, an M.S. in Electrical Power Engineering from the University of Greenwich (2011), and a B.S. from the University of Engineering & Technology Lahore (2009). He leads the Clean And Resilient Energy Systems (CARES) lab and has received awards including the William Paul Ricker Distinguished Faculty Award (2023) and Gulf Research Program Fellowship (2021). His publications address adversarial network defense, EV battery optimization, and renewable integration. William Paul Ricker Distinguished Faculty Award (2023) Data Science Career Initiation Fellow (2022) Gulf Research Program Fellowship (2021)

• Sustainable Construction
• Energy Efficiency in the Built Environment
• Building and Urban Energy Simulation
• +۵ مورد دیگر

Shayan Mirzabeigi is an Assistant Professor of Sustainable Construction Management at the State University of New York College of Environmental Science and Forestry (SUNY ESF) . He holds a Ph.D. in Sustainable Construction Management from SUNY ESF (2024) and is pursuing a second Ph.D. in Mechanical & Aerospace Engineering at Syracuse University (expected 2025), working with Professor Jianshun Zhang in the Building Energy and Environmental Systems Lab (BEESL). Education: Ph.D., Sustainable Construction Management, SUNY ESF, 2024 Ph.D. (In Progress), Mechanical & Aerospace Engineering, Syracuse University, 2025 (expected) M.Sc., Building Engineering, Politecnico di Milano, 2020 B.Sc., Architectural Engineering, University of Tehran, 2016 His interdisciplinary research focuses on building energy simulation , climate resilience , construction automation , and human-building interaction , with a particular emphasis on cold climate adaptations. He directs the Sustainable and Resilient Built Environment Lab (SARBEL) and contributes to the integration of BIM-IoT frameworks and drone-based building diagnostics . His recent publications address thermal anomaly detection , occupant-centric retrofit protocols , and multi-scale retrofit solutions for cold climates. He has presented at major conferences including ASHRAE, STRATUS, and COBEE. Scientific Awards and Grants : ASHRAE College of Fellows Travel Award (2024) Best Poster Award, STRATUS 2024 SUNY ESF GSA Senate Travel Grant (2024) ASHRAE Student Travel Grant (2024) Building Enclosure Symposium Attendance Scholarship (2023) He has advised graduate students like Fahad Iqbal (MS) and contributed to peer-review activities for journals like Energy & Buildings and Building Simulation . His teaching includes courses on Data Science for Sustainability , Sustainable Energy Systems , and Green Building .

Tarek Rakhaمشاهده پروفایل

دانشیار

• Sustainable Design
• Urban Modeling
• Building Performance Simulation
• +۷ مورد دیگر

Tarek Rakha is an Associate Professor of Architecture and Director of the High Performance Building Lab (HPBL) at Georgia Tech's College of Design. He also serves as Co-founder and CEO of Lamarr.AI, a startup commercializing his research. His academic journey includes a Ph.D. in Building Technology from MIT (2015) and prior faculty roles at Syracuse University before joining Georgia Tech in 2019. Rakha's work focuses on sustainable design, urban modeling, and building performance simulation, with a strong emphasis on underserved communities. His research, totaling $4M+ in federal/state funding, explores aerial data robotics for building diagnostics, urban energy sensing, and thermal comfort modeling. Education Background: Ph.D. in Building Technology, MIT (2015) M.S. and B.S. in Architecture, Cairo University (2010, 2007) Research Interests: He pioneers interdisciplinary approaches combining AI, drones, and computational methods to address environmental challenges. Key areas include: - Thermal anomaly detection via capsule networks and YOLO models - Inclusive urban energy modeling with socioeconomic data integration - Climate-resilient native architectures and heritage preservation - Energy efficiency in healthcare environments and retrofit programs. Recent Projects: His work spans $7M+ in funded projects from NSF, DOE, ARPA-E, and corporate partners like Coca-Cola. Notable outputs include an open-source decarbonization framework and thermal comfort analysis tools for chemotherapy spaces. His drone-based envelope diagnostic systems have advanced non-destructive testing practices. Awards & Impact: Recognized nationally with IBPSA-USA's Emerging Contributor Award (2023). His teaching excellence earned the 2022 Class of 1934 Award at Georgia Tech. Mentored DOE Solar Decathlon Grand Winner (2022) and led award-winning design competitions (AIA/ACSA 2019). Lab & Outreach: The HPBL develops innovative solutions for energy-efficient urban systems. Rakha co-edited SimAUD conference proceedings as General Chair (2018) and Program Chair (2019). Public engagement includes active social media presence and LinkedIn networking.

• Building Energy Systems
• Sustainable Cities and Communities
• Energy Efficiency
• +۳ مورد دیگر

Vincenzo Corrado is a Full Professor at the Department of Energy (DENERG) of Politecnico di Torino. He specializes in building energy performance modeling, focusing on energy efficiency, climate resilience, and sustainable urban development. His work integrates advanced computational methods, including machine learning for urban-scale simulations, and addresses challenges in retrofitting building stocks to meet climate goals. Affiliations: Member of multiple doctoral colleges including ENERGETICS and Technological Innovation for the Built Environment. Teaching: Leads courses on energy in smart buildings, environmental assessment, and building energy design. Research interests span energy systems optimization, climate change impacts on building performance, and policy frameworks for energy certifications. Key projects include CRiStAll (climate resilient strategies), URBEM (urban reference buildings), and TIMEPAC (innovative energy assessment methods). Recent articles emphasize resilient cooling strategies, zero-emission building designs, and the application of AI in building simulations. He collaborates with international bodies like IEA EBC Annex 80 and contributes to national initiatives like the PNRR Mission 4. Advises PhD students on topics like retrofit scenarios and energy modeling. Leads projects funded by EU Horizon 2020, national PRIN grants, and regional innovation programs.

Md Imbesat Hassan Rizviمشاهده پروفایل

پژوهشگر

• Scientific Machine Learning
• Natural Language Processing
• Reinforcement Learning
• +۳ مورد دیگر

Md Imbesat Hassan Rizvi is a Technical (Research) Associate at the Robert Bosch Centre for Cyber-Physical Systems (RBCCPS), Indian Institute of Science (IISc). His research focuses on Scientific Machine Learning, Natural Language Processing (NLP), Reinforcement Learning, Robotics, Human-Robot Interaction, and Multi-modal Machine Learning. He is actively involved in projects such as enabling natural interactions with social robots like 'Asha,' which includes speech communication, lip synchronization, and NLP-based instruction execution. His work combines robotics with NLP and reinforcement learning, leading to open-source contributions like the sonorus package and imperio repository. Rizvi's academic background includes an M.Tech. in Computational and Data Sciences from IISc (2015-2017) and a B.Tech. in Mechanical Engineering from IIT(ISM) Dhanbad (2008-2012). His research has spanned diverse areas including causal relation extraction from clinical notes (MIMICause corpus), diabetes-related tweet analysis, and molecular descriptor-based drug discovery. He has been recognized as a finalist in ICSR 2021 and a semi-finalist in the ANA Avatar XPRIZE competition. Notable contributions include publications on causal language modeling, medical informatics, and thermodynamics of nanofluids. His technical expertise extends to parallel computing optimizations and customer review analysis at HP Inc. Rizvi’s projects also include language identification systems and retrofitting word vectors to semantic lexicons, showcasing his versatility in both theoretical and applied research domains.

• Building Performance Simulation (BPS)
• Heating, Ventilation, and Air Conditioning (HVAC) systems
• Heat Pump Systems
• +۶ مورد دیگر

Laurent Georges is a Professor at the Department of Energy and Process Technology, Faculty of Engineering Science, Norwegian University of Science and Technology (NTNU). He specializes in Building Performance Simulation (BPS), HVAC systems, heat pumps, zero emission buildings, and energy flexibility. His research integrates computational fluid dynamics (CFD) and data-driven modeling to address energy efficiency and sustainability challenges. Key projects include leading Work Package 3 on 'responsive and energy efficient buildings' in the FME ZEN (Zero Emission Neighbourhoods in Smart Cities) and investigating heat pump systems in the ChiNoZEN and OPPTRE projects. He is President of IBPSA-Nordic and a member of NORVAC Foundation. Research trends focus on energy flexibility, thermal storage, and AI-driven control strategies for buildings. Recent work emphasizes hybrid energy systems, CFD for airflow simulation, and optimal control frameworks for demand response. Advising includes 5 PhD students (as main supervisor) and 4 co-supervised, with notable alumni like Vegard Heide and Elyas Larkermani. His work spans 60+ publications since 2017, addressing topics from wood stove integration to model predictive control. Labs/teams: Active in FME ZEN, collaborating with DTU and SINTEF on energy systems, thermal storage, and building performance. Development of Python tools like pymodconn bridges academic research with industrial applications.

• Metaheuristics
• Machine Learning
• Complex Systems
• +۷ مورد دیگر

Manuel Chica Serrano is a Senior Researcher at the University of Newcastle (Australia) and a Ramon y Cajal Senior Researcher at the University of Granada (Spain). He holds an Adjunct Lecturer position at the School of Information and Physical Sciences, University of Newcastle, where he conducted an Endeavour Research Fellowship (2016-2017). His interdisciplinary work bridges artificial intelligence , agent-based simulation , and marketing analytics . Education : BSc/MSc in Computer Science (University of Granada), PhD cum laude (University of Granada 2011) Research Areas : Metaheuristics, Machine Learning, Complex Systems, Agent-Based Modeling, Multiobjective Optimization With over 100 JCR publications (40+ Q1 journals) and 1.4k+ Google Scholar citations (h=20), his work focuses on evolutionary game theory applications in tourism sustainability, tax fraud detection, and maritime decarbonization. Recent studies include WPT retrofit modeling , startup user retention , and tax fraud dynamics . He supervises five PhD students and co-invented two international patents in AI applications. Scientific Contributions : CTO of ZIO Analytics , commercializing AI solutions Principal Investigator for €3M+ in R&D projects (including 2 EU-funded) 2017 Best Paper Award (IEEE CEC track) 2-year postdoctoral at four international institutions

Wei Songمشاهده پروفایل

دانشیار

• Structural Engineering
• Sustainable Infrastructure
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Wei Song is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at The University of Alabama, College of Engineering. He directs the Intelligent Systems and Structural Dynamics Laboratory and focuses on developing innovative cyber-physical systems for improving disaster resilience and energy efficiency of structures. Dr. Song's educational background includes: Ph.D., Civil Engineering, Purdue University, 2011 M.S., Systems Science and Mathematics, Washington University in St. Louis, 2008 M.S., Structural Engineering, Tongji University, 2004 B.S., Civil Engineering, Tongji University, 2001 His research interests span structural dynamics under hazardous loads, structural condition assessment, advanced experimental platforms, machine learning applications, and cyber-physical systems design. Dr. Song's work particularly addresses challenges in developing resilient and sustainable communities through civil engineering, with emphasis on next-generation structural condition assessment and retrofitting tools. His laboratory develops innovative systems based on smart damping and sensing devices combined with intelligent algorithms and control strategies. Dr. Song's recent publications demonstrate a strong focus on real-time hybrid simulation techniques, deep learning applications for structural health monitoring, and innovative approaches to structural control. His work bridges traditional civil engineering with cutting-edge computational methods, particularly in crack detection, structural dynamics, and community resilience against natural hazards. Dr. Song has received numerous honors including the 2021 O. H. Ammann Research Fellowship and has advised award-winning students like Shanglian Zhou. He serves as Associate Editor for Engineering Structures and Frontiers in Built Environment, and is actively involved in professional organizations including ASCE technical committees on Structural Identification and Structural Control and Sensing. His laboratory conducts research on structural control systems using MR dampers, mass dampers, base isolation platforms, structural condition assessment of bridges, and real-time hybrid simulation. Dr. Song has also been involved in significant projects related to Alabama's infrastructure, including monitoring the Tuscaloosa Box Girder Bridge and investigating cross-frame behavior in steel girder bridges.

Juraj Benićمشاهده پروفایل

استادیار

• Control theory
• Fluid power systems
• Internet of Things (IoT)
• +۷ مورد دیگر

Assistant Professor Juraj Benić is a control engineer at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek, Croatia . His interdisciplinary work bridges control theory, fluid power systems, IoT, and data-driven maintenance , with applications ranging from forestry vehicles to unmanned aerial systems. Education PhD in Control Theory and Mechanical Engineering, 2022 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture MSc in Control Theory and Mechanical Engineering, 2017 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture BSc in Control Theory and Mechanical Engineering, 2015 – University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Research Interests Prof. Benić’s core research areas include: Energy-efficient direct-driven hydraulic (DDH) systems for mobile machinery Hybrid-electric powertrains for forestry skidders and multirotor UAVs IoT-enabled predictive maintenance using convolutional neural networks and vibration analysis Fuzzy-logic and ontology-based controllers for electro-hydraulic systems Human-robot interaction and context-aware robotics Computational linguistics and digital corpora of Croatian dialects Publication Trends Since 2018 he has produced more than 25 peer-reviewed works. The 2023-2024 journal articles focus on hybrid UAV propulsion and comparative energy efficiency of hydraulic systems , while earlier works delve into fuzzy control ontologies , predictive maintenance via IIoT and fuel-saving hybrid skidders . Interspersed linguistic contributions showcase his versatility in digital dialectology. Scientific Awards & Recognition While explicit awards are not listed, he has delivered invited lectures (University of Maribor, 2021) and participated in study visits (South Kazakhstan State University, March 2024), indicating growing international recognition. Supervision & Collaboration He collaborates closely with colleagues from the University of Zagreb and University of Osijek, co-authoring with researchers such as D. Pavković, Ž. Šitum, M. Cipek, and D. Brezak. Student supervision is implied through experimental rigs and project descriptions, although specific advisee names are not provided. Laboratory & Field Infrastructure Research is supported by fully instrumented hydraulic test benches, a retrofitted deep-drilling rig, IoT accelerometer networks, and field-measurement campaigns on commercial skidders equipped with telematics (WIGO-E) for long-term fuel and energy-data logging.

• Building
• Civil Engineering
• Artificial Intelligence
• +۱۴ مورد دیگر

Jianli Chen is an Adjunct Assistant Professor in the Department of Civil & Environmental Engineering at the University of Utah. Prior to this role, he worked as a postdoctoral researcher at the US National Renewable Energy Lab, focusing on grid-interactive efficient buildings and renewable energy integration. His research bridges building sustainability with artificial intelligence, emphasizing energy efficiency, occupant behavior, and resilient urban infrastructure. PhD in Building Construction from Georgia Institute of Technology MS in Civil Engineering and Computational Science from Virginia Tech and Georgia Tech BE in Civil and Computer Engineering from Dalian Jiaotong University Chen’s research spans interdisciplinary domains, including: Building energy and airflow modeling Physics-informed machine learning for energy systems Smart building control through IoT and LLMs Latent load adjustment in HVAC systems Urban heat island mitigation via geospatial analysis His recent publications demonstrate expertise in integrating LLMs with building simulation tools like EnergyPlus, developing hybrid modeling frameworks, and optimizing Bayesian calibration methods. Key projects involve: Microgrid solutions for Navajo Nation communities High-resolution demand response strategies Machine learning-driven occupant interaction platforms Dynamic community vulnerability assessment with mobility data Professional engagement includes: Member of ASHRAE Smart Building Systems Committee Scholarly contributions to Energy , Building Simulation , and Applied Energy

Martin Mayfield-Tulipمشاهده پروفایل

استاد

• Sustainable Engineering
• Systems Engineering
• Climate Change Mitigation
• +۳ مورد دیگر

Professor Martin Mayfield-Tulip is the Head of the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield. As an academic leader with 24 years of industrial experience, he focuses on sustainable infrastructure systems, systems engineering, and climate resilience. His work spans urban metabolism, energy systems, and resource accounting frameworks. Lead researcher in sustainable infrastructure and urban systems Director of EPSRC-funded Sheffield Urban Flows Observatory Co-founder of the RISE research group (14 members) His research integrates complexity science with engineering design, emphasizing the interaction between human and natural systems. Key areas include: Climate resilience of infrastructure networks Smart grid integration with buildings Computer vision applications for urban material stocks Low-cost sensor networks for air quality monitoring Multi-modal energy consumption prediction Grid constraint management with battery storage Recent publications demonstrate expertise in applying computational methods to urban sustainability challenges. His work bridges theoretical advancements in Gaussian processes and practical implementations in city-scale energy systems. EPSRC ENCORE Network+ Principal Investigator Co-Investigator for UKCRIC initiatives Director of £2.4m Sheffield Urban Flows Observatory Co-Investigator for CORONA £8m UKCRIC Urban Observatories grant Managed i-CAIR £8m Integrated Infrastructure project Mayfield-Tulip leads the Sheffield component of the UKCRIC initiative and serves on multiple infrastructure boards including the Grantham Centre for Sustainable Futures and the Sheffield City Region Infrastructure Board. His RISE research group focuses on the intersection of technology and infrastructure to create sustainable built environments.