جستجوی استاد راهنمای دانشگاهی

• Autonomous Mobile Robots
• Computer Vision
• Reinforcement Learning
• +۵ مورد دیگر

Dr. Jaime Boal Martín-Larrauri is an Associate Professor at the School of Engineering (ICAI) of Comillas Pontifical University, affiliated with the Electronics, Control and Communications Department. He holds a PhD in Engineering Systems Modeling (2014) and coordinates the M.Eng. in Intelligent Industry since 2019. His research focuses on robotics, computer vision, reinforcement learning, IoT, energy efficiency, and Industry 4.0 applications. He co-founded Stemy Energy (2018–2024) as CTO, developing energy efficiency solutions. Education: PhD in Research in Engineering Systems Modelling, Comillas Pontifical University (2014) M.Sc. in Research in Engineering Systems Modelling, Comillas Pontifical University (2012) Industrial Engineer (Electronics), Comillas Pontifical University (2010) Research Interests: His work integrates hardware-software systems, emphasizing robotic control, energy-efficient IoT platforms, and AI-driven solutions for industrial automation. Key projects include drone detection systems, smart energy grids, and reinforcement learning for industrial robots. Publications & Trends: Recent articles emphasize robotic learning, energy efficiency, and AI interpretability. Notable contributions include reinforcement learning robustness improvements and IoT energy platform architectures. Awards: Multiple Chair for Smart Industry Awards (2021–2024) for outstanding student projects under his supervision Extraordinary End-of-Degree Award (2011) Grants & Labs: Lead projects funded by ENDESA, Ferrovial, MIT, and the Madrid Regional Government. Active in the Institute for Research in Technology (IIT), collaborating on robotics and energy systems. Labs/Teams: Contributes to the IIT’s robotics and IoT research groups, focusing on autonomous systems and smart industry applications.

Jan Kloppenborg Møllerمشاهده پروفایل

دانشیار

• Time Series Modeling
• Stochastic Differential Equations
• Wind Power Systems
• +۵ مورد دیگر

Jan Kloppenborg Møller is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on stochastic modeling, time series analysis, and energy systems, contributing to UN Sustainable Development Goals related to sustainable energy and education. He holds a PhD in Mathematical Modeling from DTU (1997-2006) and has held research assistant roles at DTU and the National Environmental Research Institute. His work spans applications in railway defect prediction, probabilistic forecasting, and sustainable building systems. Current projects include data-driven predictive maintenance for railways, digital twin platforms for CO2 reduction, and stochastic methods in optimal control. He advises PhD students on topics like metabolomics, energy systems, and industrial digitalization. Key research areas include stochastic differential equations, wind energy systems, and thermal load analysis. He has published extensively on probabilistic forecasting tools, error correction methods, and experimental design in metabolomics.

Miljana Horvatمشاهده پروفایل

استاد

• Energy Efficient Building Design
• High Performance Building Envelopes
• Solar Energy and Architecture
• +۵ مورد دیگر

Dr. Miljana Horvat is a Professor and Associate Dean of Graduate and Postdoctoral Studies at the Department of Architectural Science, Toronto Metropolitan University. Her expertise spans Energy Efficient Building Design, Solar Neighbourhood Planning, and AI-driven architectural solutions. She holds a PhD from Concordia University (2005) and advanced degrees from McGill University (MArch, 1998) and the University of Belgrade (Dipl.Ing.Arh, 1992). Her research focuses on high-performance building envelopes for cold climates, solar energy integration, and urban sustainability. She leads the International Energy Agency's solar energy guidelines initiatives and mentors graduate students in international collaborations. Courses include BL8101 (Building Envelope Systems) and BL8104 (Building Science Seminar/Studio). Her work bridges architectural design with environmental science, emphasizing AI applications for optimizing solar potential and energy efficiency. Over 30 peer-reviewed articles reflect her contributions to building envelope performance assessment, thermal comfort analysis, and machine learning in energy diagnostics.

Ekkart Kindlerمشاهده پروفایل

دانشیار

• Model-Based Software Engineering
• Process Mining
• Petri Nets
• +۴ مورد دیگر

Ekkart Kindler is an Associate Professor in the Department of Applied Mathematics and Computer Science at DTU Compute, Technical University of Denmark. His research focuses on model-based software engineering, process mining, and road condition assessment using vehicle sensor data. He leads the Competence Centre for Model-Based Software Engineering, supporting industry adoption of advanced software development methodologies. Education: M.Sc. (1990), Ph.D. (1995) from Technische Universität München; Habilitation in Computer Science (2001) from Humboldt-Universität zu Berlin. He held visiting professorships at German universities (2000–2007) and has extensive experience in formal methods, business process modeling, and Petri nets. Research interests include declarative process modeling, complexity metrics for cognitive load assessment, and the integration of formal methods into industrial software development. His work contributes to UN Sustainable Development Goals related to sustainable infrastructure (SDG 9) and innovation (SDG 9). Notable collaborations include road condition assessment projects using vehicle sensor data (LiRA-CD dataset) and contributions to Petri net standards (PNML). He has supervised PhD students such as K. I. Simonsen (protocol software) and A. Skar (road assessment). Grants and projects: Live Road Assessment with Vehicle Sensors (2019–2022), Model Transformation Tools (2013–2016), and waste management modeling (2012–2016). Active in open-source datasets and tool development for indoor climate control (climify.org).

• Atmospheric Science
• Climate Dynamics
• Geophysics
• +۳ مورد دیگر

Dr. Sujata Kovalam is a Grant-Funded Researcher (B) at the University of Adelaide's School of Physics, Chemistry and Earth Sciences. Her work focuses on atmospheric dynamics, particularly gravity waves in the mesosphere and lower thermosphere. She has contributed to projects like the Darwin Area Wave Experiment (DAWEX) and utilizes advanced instrumentation such as meteor radars and airglow imagers. Her research investigates coupling between atmospheric layers, convection-driven phenomena, and climate variability impacts. Key locations for fieldwork include Mount Gambier and Alice Springs in Australia, leveraging Southern Hemisphere observational data. Research interests include stratospheric warmings, vertical wind trends, and middle atmosphere responses to convective systems. Over 20 years of peer-reviewed publications (2000–2022) demonstrate expertise in mesospheric turbulence, thermospheric momentum deposition, and high-frequency gravity wave analysis. Collaborative projects involve international teams and multi-instrument observational campaigns. Her grants support exploration of atmospheric coupling mechanisms and wave propagation dynamics. No student advising roles are listed in current records. Office location: Room 2, Oliphant Building, North Terrace campus.

• Internet of Things
• Smart Homes / Building Automation
• Embedded Systems
• +۵ مورد دیگر

Aliaksei Andrushevich is a Senior Research Associate at the Institute of Electrical Engineering IET iHomeLab within the Lucerne School of Engineering and Architecture (HSLU T&A). He holds a PhD in Information Technologies (2021–2024) and has extensive experience in IoT, smart homes, and embedded systems. He has served as a guest lecturer at the Hogeschool van Amsterdam (2015–2018) and contributed to academic memberships including IEEE and AAATE. Education highlights include an MSc in Embedded Systems from the University of Lugano (2005–2007) and a Dipl.-Math from Belarusian State University (2001–2006). His research focuses on IoT security, ambient assisted living (AAL), energy-efficient systems, and smart city technologies. Notable projects include AgeWell Companion, WorkLifeCabin, and FEEB&D (Future Energy Efficient Buildings). His recent publications emphasize edge computing for public building monitoring, conversational AI in elderly care, and semantic IoT frameworks. Awards include the Young Researcher Award (2014) and SenZations Prize (2013). He actively collaborates on projects like RecoveryFun (mental health monitoring) and Ella4Life (AAL solutions), leveraging interdisciplinary approaches to improve quality of life through technology.

Philip Walshمشاهده پروفایل

استاد

• Sustainability Strategy
• Energy Economics
• Innovation Management
• +۳ مورد دیگر

Dr. Philip Walsh is a Professor in the Entrepreneurship & Strategy Department at Toronto Metropolitan University’s Ted Rogers School of Management (TRSM). With over 40 years of industry experience in energy and mining sectors, he holds a BSc in Geological Sciences (Queen’s University), MBA (Ivey Business School), and PhD in Strategic Management (University of Bradford). His expertise spans strategy, sustainability, innovation, and energy economics. He has held leadership roles including Chair of Entrepreneurship & Strategy and interim Associate Dean at TRSM. Dr. Walsh teaches in TRSM’s undergraduate and graduate programs, including the Environmental Applied Science and Management program. He co-authored Corporate Responsibility and Sustainable Development and the Canadian edition of Foundations of Strategy . His research focuses on strategic change, renewable energy policy, and sustainable development in extractive industries. He is a registered professional geoscientist and Visiting Research Fellow at the University of Winchester. His professional affiliations include the Association of Geoscientists of Ontario and the International Association for Energy Economics. Awards include the Enactus Canada Dobson Fellow recognition. His recent work explores energy transition governance, decentralized energy systems, and the intersection of corporate strategy with sustainability reporting standards. Dr. Walsh’s research integrates interdisciplinary approaches, bridging geological sciences with business strategy to address global energy challenges. He collaborates on projects involving community engagement in renewable energy deployment and circular economy frameworks for post-Brexit trade relationships between the UK and Canada.

• Sustainable Building
• Energy and Building Technology
• Simulations
• +۴ مورد دیگر

Urs-Peter Menti is a full-time Professor and Co-Head of the Institute of Building Technology and Energy (IGE) at Lucerne School of Engineering and Architecture (Lucerne, Switzerland). He specializes in sustainable building, energy-efficient construction, and building technology. He leads the Center for Integrated Building Technology (ZIG) and chairs Minergie Certification for Central Switzerland. His research focuses on energy systems, district heating/cooling networks, and climate-responsive building design. Education: 2009: Postgraduate Certificate in Higher Education Pedagogy 2007: MBA in Business Administration (Lucerne) 1995: Diplom-Maschineningenieur, ETH Zurich Research Interests: Dr. Menti drives innovation in energy-efficient systems, sustainable urban development, and smart building technologies. He emphasizes practical applications through projects like thermal district networks and adaptive building envelopes. His work bridges academic research with industry via collaborations in certification (e.g., Minergie), policy (e.g., Canton Schwyz Energy Council), and global initiatives (e.g., China Zero Emission Buildings). Key Projects: PLUSQUA: Neighborhood Energy Demand Reduction ENFLATE: Flexibility Markets in Energy Systems KüBaZEn: Kitchen/Bathroom as Energy Hubs in New Buildings ITC Quartierklima: Urban Heat Island Mitigation Leadership & Engagement: Member of ETH Zurich Alumni Board Swiss Society of Engineers and Architects (SIA) Commissions Board Member of 4B AG (Energy Solutions) His work integrates technical innovation with societal needs, addressing climate change through building systems that optimize energy use while maintaining user comfort.

Abe Ardeshirمشاهده پروفایل

استاد مدعو

• Risk Management
• Construction Safety
• Project Scheduling
• +۵ مورد دیگر

Abe Ardeshir, Ph.D., is an Adjunct Professor in the Department of Civil and Environmental Engineering at the Tagliatela College of Engineering, University of New Haven. He joined as a Practitioner in Residence in Fall 2020 and has been affiliated with the university since Spring 2019. His research spans 28 years in risk management, construction safety, project scheduling, stormwater management, GIS applications in river engineering, and hydraulic transport optimization. He has contributed over 100 journal and conference publications, focusing on interdisciplinary solutions for civil engineering challenges. Education: Ph.D. in Civil Engineering (Multi-phase transport in Conduits), University of Kentucky M.S. in Civil Engineering (Construction Project Management), University of Kentucky B.S. in Civil Engineering, University of Kentucky M.S. in Physics (Quantum Physics), University of Akron B.S. in Physics, Pars College Research Interests: Abe’s work integrates advanced methodologies like BIM, fuzzy logic, and data mining to address safety, scheduling, and sustainability in construction projects. His research emphasizes practical applications such as urban stormwater management, scour mitigation in hydraulic structures, and risk assessment using multi-criteria decision analysis. He has pioneered innovative solutions for high-rise construction safety and GIS-based infrastructure planning. Grants & Collaborations: While specific grants are not detailed, his extensive publication record indicates active involvement in collaborative research projects addressing global challenges in civil engineering and environmental systems. Labs & Teams: His research is conducted within the University of New Haven’s civil engineering infrastructure, focusing on interdisciplinary teams to bridge theory and practice in construction engineering and environmental sustainability.

Hafiz Alakaمشاهده پروفایل

استاد

• Artificial Intelligence
• Big Data Analytics
• Construction Technology
• +۵ مورد دیگر

Professor Hafiz Alaka is an academic leader and researcher at the University of Hertfordshire, serving as Associate Dean and Director of the Big Data Technologies and Innovation Lab. He leads the 'Prediction of Climate and its Impacts (PCI)' group within the Centre for Climate Change Research (C3R). His expertise lies in applying contemporary technologies like AI, big data, and machine learning to construction, infrastructure, energy, and sustainability challenges. Research interests include offsite construction adoption, pollution prediction using IoT and big data, building energy optimization, and circular economy practices. His work emphasizes interdisciplinary collaboration with industry partners such as Balfour Beatty and Reusefully Ltd, and international collaborations in Malaysia, Nigeria, and Indonesia. He has secured over £10M in research funding and oversees strategic research initiatives at Hertfordshire Business School. Recent publications focus on AI-driven solutions for construction challenges, energy efficiency modeling, and environmental monitoring. Notable projects include developing prediction models for cement quality and mitigating digital transformation risks in Malaysia. He actively contributes to academic governance as an Innovate UK assessor and editorial board member of international journals. His leadership spans research policy development, grant administration, and fostering innovation ecosystems. He mentors PhD students and early-career researchers, emphasizing inclusive, dynamic environments for academic growth.

David Zoggمشاهده پروفایل

مدرس

• Control Technology
• Building Automation
• Renewable Energy Systems
• +۵ مورد دیگر

Prof. Dr. David Zogg is a Lecturer in Control Technology and Researcher at the FHNW Institute of Automation within the University of Applied Sciences Northwestern Switzerland (FHNW). He is affiliated with the School of Engineering and Environment and leads projects focusing on energy systems optimization, fault diagnosis, and building automation. His work includes developing modular management tools for photovoltaic systems and remote diagnostics for industrial plants. Education: PhD in Fault Diagnosis for Heat Pump Systems (ETH Zurich, 2002) Research Interests: Control technology, renewable energy integration, heat pump optimization, fault diagnosis systems, electric mobility, and building automation. His projects emphasize energy efficiency, smart grid technologies, and thermal storage utilization. Key Projects: Developed an internal consumption manager for private photovoltaic systems with Zogg Energy Control (FHNW spin-off), optimizing self-consumption via smart load management. Created a real-time diagnostics tool for remote monitoring of complex production plants. Funding & Collaboration: Projects funded by the Swiss Federal Office of Energy (BFE). Collaborations include ETH Zurich researchers and industry partners like Zogg Energy Control. Labs/Teams: Leads research at the FHNW Institute of Automation and co-founded Zogg Energy Control to commercialize energy management systems.

• Model Predictive Control
• Nonlinear Systems Control
• Robust Control
• +۳ مورد دیگر

Dr. Johannes Köhler is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich, Switzerland. His research focuses on advanced control systems, particularly model predictive control (MPC), robust control of nonlinear systems, and data-driven control strategies. He holds a Master's degree in Engineering Cybernetics from the University of Stuttgart (2017) and a Ph.D. in Mechanical Engineering (2021), for which he received the 2021 European Systems & Control PhD Award. His work emphasizes safety, optimization, and adaptability in control systems, with applications ranging from autonomous navigation to energy-efficient building systems. Key academic achievements include the 2022 ETH Zurich Career Seed Award for his work on data-driven predictive control, and the 2020 Best Publication Award at the University of Stuttgart for applying MPC to combat the COVID-19 outbreak. He has authored over 60 peer-reviewed articles, with recent contributions in stochastic MPC, robust nonlinear control, and safety-aware exploration strategies. Education: Ph.D. in Mechanical Engineering, University of Stuttgart (2021) Master of Engineering Cybernetics, University of Stuttgart (2017) His research group at ETH Zürich develops algorithms for real-time control of complex systems, with a focus on embedded MPC for robotics and energy systems. Current projects include safe autonomous navigation, adaptive control under uncertainty, and data-driven methods for nonlinear systems.

Gilles Perrouinمشاهده پروفایل

استاد پژوهش

• Software Engineering
• Testing
• Artificial Intelligence
• +۳ مورد دیگر

Gilles Perrouin is a Research Professor in the Faculty of Computer Science at the University of Namur, affiliated with the Research Center on Information Systems Engineering and the Namur Digital Institute. His expertise spans Software Engineering, Testing, Artificial Intelligence, and Machine Learning, with a focus on software product lines, configuration management, and automated testing techniques. He leads projects such as SQUAL.AI (Software Quality through Artificial Intelligence) and SmartTune (Hyper-parameter Optimization for Deep Learning). Perrouin has received awards including the Distinguished Reviewer Award (2023 and 2019) and the VAMOS 2024 ten-year Most Influential Paper Award. He actively participates in organizing conferences like the Belgium-Netherlands Software Evolution Workshop and contributes to initiatives promoting diversity in science, such as Women and Girls in Science events. His research involves advancing testing methodologies for complex systems, exploring energy-efficient neural architectures, and addressing fairness in machine learning. Collaborations span international institutions, reflecting his global impact in software engineering and AI.

Stephen Burkeمشاهده پروفایل

استاد مدعو

• Building Physics
• Construction Management
• Energy Systems
• +۴ مورد دیگر

Stephen Burke is an Adjunct Professor affiliated with Lund University's Division of Building Physics within the Faculty of Engineering (LTH). He holds a PhD and specializes in building physics, energy systems, and sustainable construction. His research contributes to UN Sustainable Development Goals related to clean energy and sustainable cities. Research focuses include airtightness in buildings, probabilistic energy simulations, domestic hot water systems, and data quality in energy performance modeling. He has published 26 works across peer-reviewed journals and conferences, with notable contributions to Energy and Buildings and Periodica Polytechnica Architecture . Burke leads the 'God luftkvalitet med fokus på trikloramin i energieffektiva badanläggningar' project (2025-2027) funded by AFA-insurances. He has supervised doctoral research on probabilistic energy simulations and contributed to projects like 'Förstudie av prefabricerade multiaktiva fasadelement för energirenovering av flerbostadshus' (2015-2017).

• Building Controls
• Energy Systems
• HVAC Systems
• +۷ مورد دیگر

Jie Cai is an Associate Professor of Mechanical Engineering at Purdue University, specifically within the School of Mechanical Engineering. His research focuses on grid-interactive building controls, modeling and control of thermal/energy systems, HVAC and smart buildings, data-driven modeling, and intelligent control systems. He leads the Cai Research Group, which explores innovative solutions for sustainable energy systems and building automation. Key research interests include freeze desalination systems, demand response optimization using reinforcement learning, and integration of phase change materials for energy storage. His work bridges theoretical modeling with practical applications in renewable energy systems and building efficiency. Recent publications emphasize techno-economic analysis of desalination technologies, optimal control strategies for thermal systems, and grid-responsive HVAC solutions. Dr. Cai’s contributions advance smart building technologies, energy efficiency, and sustainable infrastructure through advanced control methodologies and interdisciplinary approaches. His research has direct implications for reducing carbon footprints in commercial buildings and optimizing energy systems for grid stability.