جست‌وجوی استاد و پژوهشگر

Nabil Nassifمشاهده پروفایل

دانشیار

• HVAC Systems
• Energy Efficiency
• Building Energy Management
• +۴ مورد دیگر

Nabil Nassif is an Associate Professor in the Department of Civil, Architectural Engineering and Construction Management at the University of Cincinnati (UC), part of the College of Engineering and Applied Science (CEAS). He previously held roles as Associate and Assistant Professor at North Carolina A&T State University and served as Visiting Research Faculty at Oak Ridge National Lab and Florida Solar Energy Center. His education includes a Ph.D. in Mechanical Engineering from École de technologie supérieure, Montréal, and postdoctoral fellowships at the University of Nevada Las Vegas and Concordia University. His research focuses on HVAC systems, energy efficiency, and smart building technologies, with emphasis on heat pumps, thermal storage, artificial intelligence for energy modeling, and fault detection in building systems. Nassif has secured over $2.5M in grants, including a recent $1.8M DOE grant for integrating phase-change materials (PCM) in industrial heat pumps. Nassif’s work spans 60+ peer-reviewed publications, including studies on neural network-based energy modeling, optimal chilled water plant design, and innovative control strategies for VAV systems. His contributions include developing tools for HVAC system optimization and energy audits for public and commercial buildings.

Hoda Khalilمشاهده پروفایل

استاد مدعو

• Software Engineering
• Modeling and Simulation
• Data Science
• +۷ مورد دیگر

Dr. Hoda Khalil is an Adjunct Research Professor and Contract Instructor in the Department of Systems and Computer Engineering at Carleton University, where she holds a Ph.D. Her research focuses on software engineering, modeling and simulation, and data science. She actively contributes to interdisciplinary projects, including environmental monitoring via Cell-DEVS models, pandemic-related indoor CO2 dispersion studies, and public transit data analysis. Dr. Khalil also explores pedagogical frameworks to bridge academic, industrial, and governmental needs in data science education. Education: Ph.D. in Systems and Computer Engineering, Carleton University Research Interests: Software Engineering methodologies Simulation frameworks for environmental and social systems Data-driven approaches in public policy and industry Machine learning for dynamic knowledge graphs Publications: Her recent work spans cloud-edge provisioning for IoT, CO2 dispersion modeling using Cell-DEVS and deep learning, and pandemic-era labor market analysis. She has developed automation tools like CD2 for CO2 diffusion modeling and contributed to finite state machine testing methodologies. Awards: None explicitly listed. Advising & Grants: No student advisees or grant information provided. Engages in curriculum development and industry collaboration through her teaching and research roles. Labs/Teams: Collaborates with interdisciplinary teams focused on environmental systems modeling, data science education, and pandemic response technologies.

• Production Systems
• Business Processes
• Supply Chain Optimization
• +۴ مورد دیگر

George Ioannou is a Professor of Production Management and Business Processes at the Athens University of Economics and Business, where he leads the MBA International Postgraduate Program and the Center for Business Processes and ERP Systems at the Laboratory of Management Science. Previously, he served as Assistant Professor at Virginia Tech's Department of Production and Systems Engineering. His academic journey includes a B.Sc. in Mechanical Engineering from National Technical University of Athens, an M.Sc./DIC in Industrial Robotics/Production Automation from Imperial College London, and a Ph.D. in Mechanical Engineering from the University of Maryland. Current Academic Roles: Professor, Director of MBA Program, Head of ERP Systems Center Prior Academic Roles: Assistant Professor at Virginia Tech Education: B.Sc., M.Sc./DIC, Ph.D. His research focuses on integrating web-based technologies with operational research to optimize production systems, business processes, and supply chains. This spans applications in plant spatial planning, ERP systems, and cultural heritage digitization. He has secured research funding from global organizations including NSF, European Commission, and private sector leaders like Microsoft. Scientific awards include Microsoft's Excellence in Education Award and multiple teaching excellence recognitions for MBA programs. Ioannou serves on the Technical Chamber of Greece (TEE) and the editorial board of Production Planning & Control , with extensive consulting experience for public and private sector entities.

Shan Linمشاهده پروفایل

دانشیار

• Cyber physical systems
• Wireless networks
• Networked information systems
• +۷ مورد دیگر

Shan Lin is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University, affiliated with the College of Engineering and Applied Sciences. His research focuses on cyber-physical systems, wireless networks, and sensing technologies, addressing challenges in resilient control, smart mobility, and healthcare applications. Lin's work spans theoretical foundations (e.g., formal methods, game theory) and practical implementations (e.g., wearable sensors, smart city systems). He holds a PhD in Electrical Engineering and has contributed to projects like the CyberCardia initiative modeling implantable cardiac devices. His research integrates machine learning, optimization, and embedded systems to solve real-world problems in energy management, healthcare monitoring, and urban infrastructure resilience. Lin leads interdisciplinary teams developing solutions for electric vehicle coordination, real-time emotion recognition, and resilient cyber-physical systems. His publications emphasize safety-critical systems, adaptive control, and human-in-the-loop systems, with applications ranging from smart grids to biomedical devices.

Denise Morreyمشاهده پروفایل

استاد

• High Voltage and Energy Storage Systems
• Vehicle Dynamics
• Sustainable Transport
• +۳ مورد دیگر

Professor Denise Morrey is a Professor of Mechanical Engineering and Research Lead at the School of Engineering, Computing and Mathematics, Oxford Brookes University. She serves as Group Lead for the High Voltage and Energy Storage Laboratory and is a member of the Engine Modelling Team. Her work focuses on sustainable transport solutions and energy storage systems. Established the Motorsport Engineering Centre with £2.1M SEEDA funding Recipient of 12 annual Fernando Alonso scholarships (2007-2011) Research Interests: Driving development of High Voltage and Energy Storage Laboratory (HVES), vehicle dynamics, sustainable transport, engine modeling, and battery technology. Her studies address second-life battery applications, pollutant dispersion, and particulate matter emissions. Publications: 15 most recent articles span lithium-ion battery performance, energy storage optimization, computational fluid dynamics for emission studies, and automotive engineering. Key themes include sustainable transport, battery modeling, and emission control technologies. Scientific Awards: 12 annual scholarships from Fernando Alonso (2007-2011) Supervision: Currently supervises 8 PhD students (Director of Studies) and 4 post-doctoral RAs. Examined over 25 PhD theses (external/internal). Labs & Teams: Leads the High Voltage and Energy Storage Laboratory and participates in the Engine Modelling Team. Active in the Future of Transport Centre and Propulsion and Pollution Modelling group.

• Energy Efficiency in Buildings
• Thermal Energy Storage
• Thermal Comfort and Occupants Behavior
• +۱۳ مورد دیگر

Dr. Mohammad Saffari is an Assistant Professor at the School of Mechanical & Manufacturing Engineering, Dublin City University (DCU), specializing in smart and energy-efficient buildings and energy systems technologies. His research focuses on sustainable buildings, renewable energy, and simulation-based optimization of thermal energy storage (TES) materials for energy savings. Current DCU Co-PI for the GEONORM project (geothermal energy integration in UCD's district heating scheme, funded by SEAI and Geological Survey Ireland) Former Senior Researcher and Engineer at UCD Energy Institute's ESIPP program Research interests include energy simulation, optimization of energy systems, demand-side management, HVAC systems, smart control, and natural ventilation. His work spans multidisciplinary collaborations in Spain, Germany, Australia, and Ireland. Recent publications emphasize hybrid heat pump retrofits, PCM-enhanced envelopes, and data analytics for energy systems. Projects like GEONORM highlight his focus on decarbonizing heating through geothermal and renewable mixes. Collaborations include CausewayGT, Gavin & Doherty Geosolutions, iCRAG, Dublin Institute for Advanced Studies, UCD School of Computer Science, and UCD Energy Institute.

Muhammad Azeem Abbasمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۸ مورد دیگر

Dr. Muhammad Azeem Abbas is a Lecturer in Information Systems & ICT at Aston University's Aston Business School (College of Business and Social Sciences). He specializes in Artificial Intelligence, Machine Learning, and Semantic Web technologies with applications in education, construction, and agriculture. His teaching spans Information Systems, Machine Learning, and Web Development. He has held roles at multiple institutions including the University of Wales Trinity Saint David and Leeds Beckett University. Abbas holds a PhD in Information Technology from Universiti Teknologi Petronas and an MSc in Computer Science from Mohammad Ali Jinnah University. His research focuses on AI-driven solutions for educational systems (e.g., intelligent tutoring, EAL writing support), construction automation (BIM execution plans), and healthcare (CVD prediction). He has co-authored over 30 peer-reviewed articles and serves on the editorial board of Computers and Education: Artificial Intelligence . His work emphasizes bridging technological gaps in education and urban infrastructure through innovative systems like the Adapt-ABLE smart housing adaptation framework. Abbas actively supervises graduate students and oversees the MSc Digital & Technology Solutions Specialist Apprenticeship program. His professional service includes roles on academic misconduct committees and global software development research. His recent publications (2020–2023) reflect interdisciplinary themes in AI applications, smart city frameworks, and mobile learning innovations.

• Sustainable Construction Materials
• 3D Concrete Printing Technology
• Geopolymer Concrete
• +۳ مورد دیگر

Dr Saya Ramakrishnan is a Senior Lecturer in the School of Engineering at the University of Southern Queensland (UniSQ). Holding a BScEng from the University of Moratuwa and a PhD from Swinburne University of Technology, their research focuses on sustainable construction materials and 3D concrete printing technologies. Key areas include geopolymer concrete, phase change materials (PCMs), and thermal energy storage in cementitious composites. They lead projects funded by ARC and industry, such as the $429,629 DECRA grant for active rheology control in concrete and a $1.44M IMCRC project for advanced construction materials. Research highlights include innovations in set-on-demand geopolymer systems for 3D printing, encapsulated additives for material activation, and eco-friendly concrete using recycled brick waste. Dr Ramakrishnan supervises doctoral students exploring topics like in-line activation technologies and fire-resistant alkali-activated cements. Their work is affiliated with UniSQ's Centre for Future Materials. Grants and industry partnerships emphasize practical applications of their research, such as thermal coatings for energy-efficient buildings and next-generation construction panels. Publications span journals like Cement and Concrete Research , Construction and Building Materials , and conferences on applied energy and materials science.

• Energy Harvesting
• Control Systems
• Machine Learning
• +۷ مورد دیگر

Kristina Vassiljeva is an Associate Professor at Tallinn University of Technology's Centre for Intelligent Systems, within the Department of Computer Systems. Her research focuses on energy harvesting, control systems, metastructures, and artificial intelligence applications. She explores topics like vibration suppression, nonlinear dynamics, and machine learning-driven solutions for building energy efficiency and smart grid integration. Her work bridges theoretical and applied domains, including hybrid optimization algorithms, piezoelectric compensation in metamaterials, and non-intrusive load monitoring. She has contributed to projects involving district heating control systems, pavement distress detection via deep learning, and real-time sound localization for virtual reality applications. Notable research themes include: energy savings in administrative and school buildings, predictive modeling for HVAC systems, and stability analysis in resonator-based systems. Her interdisciplinary approach integrates computational intelligence with mechanical engineering challenges.

Giambattista Gruossoمشاهده پروفایل

دانشیار

• Electrical Systems Modeling
• Electromagnetic Devices Simulation
• Magnetic Materials Characterization
• +۳ مورد دیگر

Prof. Giambattista Gruosso is an Associate Professor of Electrical Engineering at the Polytechnic University of Milan's Department of Electronics and Information. His research focuses on modeling and simulation of electrical/electronic systems, electromagnetic devices, magnetic materials, and optimization techniques. He explores IoT and embedded systems for fault analysis and energy performance prediction, with emphasis on energy systems for transportation and sustainability. His work involves developing numerical simulators for electromagnetic fields and digital twins for industrial systems. He is a Senior Member of IEEE, part of the SPS-DRIVE Italia scientific committee, and a reviewer for multiple journals. His research lab, SimLab, specializes in digital transformation of electrical systems using Hardware-in-the-Loop (HIL) simulations to create Digital Twins. Projects address Industry 4.0 technologies for complex electrical systems, including smart grids and EV integration. Notable contributions include frameworks for EV charging optimization, grid stability via machine learning, and fault detection in CNC machinery. His work bridges theoretical models with practical applications in energy efficiency and industrial automation.

Andreea Serbescuمشاهده پروفایل

مدرس ارشد

• Civil and Structural Engineering
• FRP Reinforcement
• Concrete Strengthening
• +۵ مورد دیگر

Dr Andreea Serbescu is a Senior Lecturer in the Department of the Natural and Built Environment at Sheffield Hallam University. She holds a PhD in Civil and Structural Engineering from The University of Sheffield. Her research focuses on innovative materials for concrete rehabilitation, sustainable construction practices, and FRP reinforcement systems. Key areas include durability of FRP-to-concrete bonds, bamboo reinforcement in temporary structures, and circular economy strategies in construction. She is actively involved in international research networks like the European Network for Composite Reinforcement (En-Core) and the International Federation for Structural Concrete (fib). Education: PhD in Civil and Structural Engineering, The University of Sheffield. Research Interests: Rehabilitation of concrete structures using advanced composites, sustainable construction materials, BIM technologies for deconstruction, and FRP durability. Her work emphasizes minimizing environmental impact while ensuring structural safety and economic efficiency. Publications: Recent contributions highlight advancements in circular economy practices and BIM-driven deconstruction, building on earlier work in FRP material characterization and testing protocols for bond strength. Her publications span journals like Journal of Composites for Construction and Composites Part B , as well as conferences such as APFIS and ACIC. Other Activities: STEM Ambassador inspiring young people in Science, Technology, Engineering, and Mathematics (STEM).

Alex Shenfieldمشاهده پروفایل

استاد

• Machine Learning
• Image Processing
• Pattern Recognition
• +۳ مورد دیگر

Professor Alex Shenfield is a Senior Member of the IEEE (SMIEEE) and Fellow of the Higher Education Academy (FHEA) at Sheffield Hallam University , where he leads the Digital Connectivity research theme within the National Centre of Excellence for Food Engineering . He serves as a Professor of Machine Learning in the Department of Engineering and Mathematics under the College of Business, Technology and Engineering . Research Interests: His work focuses on machine learning applications in image processing , pattern recognition , healthcare diagnostics , and Industry 4.0 (particularly food manufacturing). Recent projects include AI for heritage building analysis , smart baking systems , and AI-driven surgical wound monitoring . Article Trends: His research spans machine learning in healthcare (breast cancer biomarkers, sleep apnea detection), food engineering (rice milling, shelf-life prediction), and security systems (IoT encryption, vulnerability detection). Emerging themes include human-in-the-loop AI for archives and digital twins for industrial processes. Scientific Awards: Senior Member of the IEEE (SMIEEE) Fellow of the Higher Education Academy (FHEA) Member of the EPSRC Peer Review College Grants & Collaborations: He has secured over £3.5M in funding from Innovate UK , BBSRC , MRC , and Research England . Collaborators include Innovate UK , STFC , and UKRI . Postgraduate Supervision: Current: Richard Wainwright, Olusogo Popoola, Ryan Lewis, Zeena Al-Tekreeti, Ragab Barika Past: Surapong Kokkrathoke (nonlinear control), Mohammad Musameh (smart grids), Fayad Abdulah (renewable systems), Peter Delves (vehicle dynamics), Shahin Rostami (evolutionary computation) Labs & Teams: He contributes to the National Centre of Excellence for Food Engineering (NCEFE) and Industry and Innovation Research Institute , with projects involving Google and nVidia grants.

Stefano Schiavonمشاهده پروفایل

استاد

• Building energy efficiency
• Indoor environmental quality
• HVAC
• +۵ مورد دیگر

Stefano Schiavon is a Professor of Civil and Environmental Engineering and Architecture at the University of California, Berkeley, serving as Associate Director of the Center for Environmental Design Research (CEDR). His work bridges engineering and architectural disciplines to advance sustainable building practices through energy efficiency and occupant well-being. His educational background includes: Ph.D. in Energy Engineering from the University of Padova, Italy (2009) M.S. in Mechanical Engineering, summa cum laude, from the University of Padova, Italy (2005) Schiavon's research centers on reducing building energy consumption while enhancing occupant health and productivity. Key focus areas include thermal comfort optimization, indoor air quality improvement, HVAC system innovation, and building performance simulation. His methodology integrates laboratory measurements, post-occupancy evaluations, and field studies to address critical challenges in sustainable architecture and building renovation, with particular attention to occupant satisfaction and physiological responses. Analysis of his recent publications reveals a strong emphasis on causal inference methods in building science, climate-responsive design, and occupant-centric controls. His work increasingly addresses emerging challenges like wildfire smoke mitigation, demand flexibility programs, and safe indoor temperature thresholds during extreme weather events, demonstrating interdisciplinary innovation across engineering, architecture, and public health domains. His notable scientific awards include: REHVA Young Scientist Award (2010) ASHRAE Ralph Nevins Physiology and Human Environment Award (2013) Three best paper awards from Building and Environment (2018) Schiavon actively leads research initiatives through the Center for the Built Environment (CBE), developing influential tools like the CBE Thermal Comfort Tool and CBE Clima Tool. His team conducts field studies on occupant behavior, window view quality, and personal comfort systems, with significant contributions to standards development and practical building performance guidelines.

• Sustainable infrastructure
• Renewable energy planning
• Smart grid systems
• +۳ مورد دیگر

Aaron Liu is a research-focused academic at Queensland University of Technology , affiliated with the School of Architecture & Built Environment under the Faculty of Engineering. With a PhD in Electrical Engineering and professional engineering credentials (RPEQ, CPEng), he specializes in sustainable energy systems, grid-integrated buildings, and data-driven infrastructure management. Education: Doctor of Philosophy (QUT) Master of Engineering (University of Queensland) Master of Engineering Management (QUT) Graduate Certificate in Academic Practice (QUT) Bachelor of Engineering (Jiangnan University, China) Research Focus: Combines electrical engineering with built environment sustainability through advanced analytics. Key areas include energy flexibility in buildings, renewable investment strategies, demand management, and climate adaptation for healthcare infrastructure. His work bridges technical innovation with policy implications. Publication Trends: Recent work emphasizes grid-friendly energy trading , smart hospital energy systems , and climate-resilient infrastructure . Collaborative research spans from microgrid converters to urban wind modeling for sustainable development. Awards & Roles: 2020 Best paper award at Asia Pacific SDEWES 2021-2025: IEA Annex 82 representative for Australia 2019: Visiting fellow at University of Queensland 2018: Keynote speaker at Engineers Australia conference Conference committee roles (2016-2022)

• Environmental Engineering
• IoT Systems
• Cybersecurity
• +۳ مورد دیگر

Pietro Chiavassa is a Research Fellow at the Consiglio Nazionale delle Ricerche (CNR) Institute of Electronics, Information, and Telecommunication Engineering (IEIIT), collaborating as an external lecturer at Politecnico di Torino's Department of Automatic Control and Computer Engineering (DAUIN). His work bridges environmental engineering, cybersecurity, and quantum computing with a focus on IoT systems. He contributes to teaching modules in algorithms and object-oriented programming for aerospace and cinema engineering programs. Research interests include indoor environmental quality (IEQ) monitoring through low-cost sensor networks, pervasive computing security, and quantum computing applications for sensor calibration and network optimization. His projects involve developing traceable multi-sensor devices for urban air quality assessment and systems integrating acoustic comfort with occupant feedback in educational spaces. Key trends in his publications emphasize cross-disciplinary collaboration between CNR-IEIIT and Politecnico di Torino, focusing on practical implementations of advanced technologies in urban and indoor environments. His work addresses challenges in sensor data reliability, cybersecurity in embedded systems, and leveraging quantum computing for optimization problems in IoT. Current initiatives include the Q-SCALE project for quantum-enhanced sensor calibration and the PROMET&O system for holistic IEQ monitoring. He actively participates in international conferences on noise control, building physics, and environmental engineering, showcasing innovative solutions for sustainable urban infrastructure and smart environments.