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.

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).

• Signal Processing
• Acoustics
• Psychoacoustics
• +۷ مورد دیگر

Armin Taghipour is a Professor in Signal Processing and Acoustics at the Institute of Electrical Engineering, Lucerne School of Engineering and Architecture. He leads the Research Group Waves & Signal Processing and oversees Continuing and Executive Education in Innovation & Technology. His roles include MSE Advisor in the HSLU Master of Science program and President of the Swiss Acoustical Society SGA-SSA. Education: B.Sc. Microelectronics (University of Guilan, Iran), M.Sc. Telecommunications (University of Hanover, Germany), Dr. Eng. in Psychoacoustics (International Audio Laboratories Erlangen, Germany). Professional expertise spans audio signal processing, psychoacoustic modeling, noise annoyance evaluation, and acoustic comfort design. He has conducted research at Empa, Fraunhofer IIS, and the Hanover Medical School. Research focuses on urban acoustics, noise mitigation, room acoustics optimization, and psychoacoustic experiments. Recent work addresses soundscape quality in residential areas, cognitive impacts of noise, and AI-driven odor classification systems. Over 50 publications span environmental acoustics, audio engineering, and multidisciplinary applications. Lab leadership: Head of Research Group Waves & Signal Processing Key projects: Soundscape design, autonomous acoustic measurement systems, and green healthcare building acoustics Grants: IDN Performance Lab project leadership (2022) Labs/Teams: Active in the Institute of Electrical Engineering's Autonomous Systems & Robotics division, collaborating with DAGA, EAA, and SGA-SSA.

• 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.

Friedrich Schrödterمشاهده پروفایل

پژوهشگر

• Construction Management
• Building Information Modeling (BIM)
• Construction Simulation
• +۳ مورد دیگر

Friedrich Schrödter is a Researcher at the Faculty of Civil and Environmental Engineering, Bauhaus-Universität Weimar. His work focuses on construction process control, BIM-based methods, and simulation-driven optimization. He teaches modules on construction processes, BIM applications, and legal frameworks in construction. Teaching Areas: Construction process control, BIM use cases, and simulation of construction operations. Research Interests: Open-source tools for BIM, IDS-based information requirements, and process modeling in construction. He contributed to the 2023 Forum Bauinformatik with a publication on BIM and open-source solutions. His work bridges technological innovation with practical applications in construction management.

• Ergonomics
• Industrial Engineering
• Additive Manufacturing
• +۷ مورد دیگر

Antonio Maria Coruzzolo holds dual roles as a Research Fellow and Contract Professor in the Department of Engineering Sciences and Methods. His research focuses on ergonomics, industrial engineering, and sustainable manufacturing. He specializes in applying technology like Azure Kinect for ergonomic risk assessment and developing methodologies for additive manufacturing in spare parts management. His work also addresses logistics optimization, indoor environmental quality, and decision support systems for manufacturing processes. Coruzzolo explores interdisciplinary topics such as sustainable industrial tourism and environmental policy analysis. His contributions bridge technological innovation with practical industrial challenges. Key research themes include the integration of Industry 4.0 tools into statistical process control, failure rate analysis in manufacturing decisions, and the validation of semiautomatic assessment methods like AzKRULA. He emphasizes sustainability across domains, from waste utilization in construction materials to emission inventory downscaling for climate policy.

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.

• Computer Graphics
• 3D Visualization
• User Interfaces
• +۳ مورد دیگر

Tamara Munzner is a researcher in computer science with a focus on visualization and interactive 3D graphics. She holds a B.S. in Computer Science from Stanford University and pursued a PhD at Stanford's Computer Science Department. She was part of the senior technical staff at the Geometry Center, University of Minnesota, where she contributed to projects like Geomview, WebOOGL, and the Outside In animation. Her work integrates visualization with the World Wide Web, emphasizing user interfaces and interactive systems. Notable achievements include developing the Triangle Tiling exhibit with the Science Museum of Minnesota and contributions to the Siggraph Electronic Theater. Her research spans scientific visualization, web integration of 3D graphics, and collaborative visualization tools. Education: B.S. in Computer Science, Stanford University, 1991 PhD candidate in Computer Science, Stanford University (as of 1995) Research Interests: Munzner's work emphasizes interactive systems, 3D graphics visualization, and the integration of web technologies with visualization tools. She pioneered projects like Cyberview and WebOOGL, which enabled distributed 3D visualization via the web. Her focus on user interfaces and accessibility has shaped modern approaches to visualization design. Professional Contributions: Co-author of Geomview, a widely used 3D visualization system Animator/director of the Outside In mathematical animation Key contributor to the Triangle Tiling exhibit

• 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.

• 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.

• Global Marketing
• Digital Transformation
• AI and Human Intelligence Interface
• +۷ مورد دیگر

Seigyoung Auh is a Professor of Global Marketing at the Thunderbird School of Global Management, Arizona State University, and a research faculty member at the Center for Service Leadership. He holds a Ph.D. and MBA from the University of Michigan's Ross School of Business and a BBA from Yonsei University, South Korea. Education: Ph.D. in Business, Ross School of Business, University of Michigan MBA, Ross School of Business, University of Michigan BBA, Yonsei University, South Korea His research focuses on AI-human interface in marketing, digital transformation's impact on customer behavior and sales management, and improving employee-customer interactions. Key areas include analytics readiness, customer participation, and sales force dynamics. Dr. Auh has authored over 100 peer-reviewed articles in top journals like Journal of Marketing , Journal of Marketing Research , and Management Science . He serves as Associate Editor of the Journal of Service Research and holds editorial roles in multiple journals. His work has been featured in Harvard Business Review and Sloan Management Review . He teaches in Thunderbird’s MAGAM, MGM, and EMGM programs and has advised global firms like Samsung and Hyundai. Previously, he co-directed the CEO franchise program in Korea and worked as a marketing scientist before academia. Awards: Best Reviewer Award for Journal of Service Research (2013) Grants & Editorial Roles: Extensive editorial contributions and grant-funded research in service leadership and marketing analytics. His research labs and teams focus on AI-driven marketing solutions, digital transformation strategies, and service innovation.

Mats Sandbergمشاهده پروفایل

دانشگاهی

• Thermal Engineering
• Environmental Engineering
• Building Technology
• +۷ مورد دیگر

Mats Sandberg is a Senior Professor at Gävle University, specializing in energy systems and environmental engineering. His research focuses on indoor and urban environmental dynamics, particularly natural ventilation, airflow patterns in urban settings, and energy conservation in historical buildings. He employs advanced experimental methods such as wind tunnel testing, particle image velocimetry (PIV), and computational fluid dynamics (CFD) to study ventilation efficiency, pollutant dispersion, and thermal plume behavior. His work integrates interdisciplinary approaches, addressing challenges like urban morphology impacts on air quality, building ventilation design, and sustainable energy solutions. Key projects include the development of the FAST-AIR tracer-gas system for indoor air quality assessment and studies on net escape velocity metrics for contaminant removal. Sandberg’s research also explores urban heat island mitigation strategies and the interplay between building geometry and airflow dynamics. Recent studies emphasize wind-driven ventilation, thermal plume interactions in urban clusters, and the application of scaled models for airflow simulation. His findings contribute to improving indoor environmental quality, energy efficiency in buildings, and urban sustainability.

Gamal Wehebaمشاهده پروفایل

استاد

• Additive Manufacturing
• Quality Management
• Industry 4.0 in Construction
• +۵ مورد دیگر

Dr. Gamal Weheba is a Professor in the Department of Industrial, Systems, and Manufacturing Engineering at Wichita State University’s College of Engineering. His research focuses on additive manufacturing, quality management, and statistical process control. He holds the honor of being an ASQ Fellow. Education: Ph.D. in Industrial Engineering, University of Central Florida M.Sc. in Production Engineering, Menoufia University, Egypt B.Sc. in Production Engineering & Mechanical Design, Menoufia University, Egypt Research Interests: Applications of 3D printing in construction and historical preservation Software quality measurement and ISO standards compliance E-learning quality management during crises Statistical process control methodologies Virtual reality in manufacturing and education Article Trends: Recent work emphasizes additive manufacturing’s role in construction (e.g., Portland cement 3D printing) and quality management innovations. Over 25 years of publications reflect sustained contributions to manufacturing processes, metrology, and educational technology. Awards: ASQ Fellow Advising & Grants: No explicit student advisees listed, though extensive professional experience in quality systems suggests mentorship roles. Grants and service details are not detailed in the text. Labs/Teams: Not explicitly mentioned. Research collaborations likely tied to additive manufacturing and quality initiatives.

• Industrial Engineering
• Manufacturing Systems
• Organizational Innovation
• +۶ مورد دیگر

Halvor Holtskog is a Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Industrial Economics and Technology Management within the Faculty of Economics and Management. His research focuses on industrial innovation, sustainable manufacturing, blockchain technology applications, cybersecurity, and organizational performance systems. He has contributed to over 50 publications, including books and peer-reviewed articles, addressing topics like Lean manufacturing, digital transformation, and socio-technical systems in healthcare and industry. His work integrates interdisciplinary approaches, emphasizing the intersection of technology, organizational culture, and sustainability. Notable projects include exploring blockchain’s role in environmental sustainability and healthcare decision-making, as well as advancing learning factory models for manufacturing education. Holtskog has also delivered lectures on cybersecurity and innovation at international conferences, such as EUWin and EDIH4IAE. Teaching responsibilities include courses on organizational change, AI-driven knowledge management, and sustainable strategies. His research trends highlight a strong focus on digitalization, resilience in manufacturing systems, and leveraging technology for societal challenges.