Dr. Almas Shintemirov is a Research Fellow at Aalto University's Department of Electrical Engineering and Automation, specializing in robotics, control systems, and human-robot interaction. His research focuses on intelligent robotics, with emphasis on Real-time motion prediction for collaborative robots Nonlinear control algorithms for safe human-robot interaction Open-source robotic hardware design Deep learning applications in autonomous systems
Prof. Dr. Raif Bayır is a Turkish academic at Karabük University's College of Engineering, Department of Mechatronics Engineering. With a career spanning 2000-2024, he has held continuous full-time faculty positions from Assistant Professor to Professor. His research focuses on Robotics, Hybrid/Electric Vehicles, and Artificial Intelligence. Doctorate: Gazi University (2005) - Electronics & Computer Education Postgraduate: Gazi University (1998) - Electronics & Computer Education Undergraduate: Gazi University (1995) - Electronics & Computer Education His work integrates Artificial Intelligence techniques into Electric Vehicle systems, Robotics, and Agricultural Engineering applications. Recent publications emphasize Deep Learning for Mask Detection, Real-Time Battery Monitoring, and Autonomous Navigation Systems. Scientific awards include: 2017 METU Line-Following Robot 1st Prize 2016 TÜBİTAK Domestic Product Award 2015 TÜBİTAK Electromobil Best Design Prize He has advised over 20 graduate theses on topics spanning Electric Vehicle Components, Beehive Monitoring Systems, and Intelligent Control Applications. His research teams have developed multiple TÜBİTAK-supported projects including Automotive Test Stands and Battery Management Systems.
Chrysanthos Maraveas is an Assistant Professor at the Department of Technology and Natural Resources Management & Agricultural Engineering in the School of Environment and Agricultural Engineering at the Agricultural University of Athens since 2022. He earned his PhD in Structural Engineering from the University of Manchester and has held postdoctoral research positions at the University of Liège (EU-funded) and the University of Patras (Greek Ministry of Development-funded). Research Interests : Applications of AI and quantum computing in agriculture Sustainable materials and biodegradable polymers from agricultural waste Internet of Things (IoT) for greenhouse optimization Structural durability and corrosion resistance in agricultural environments Plastic waste management in agrifood systems 4D printing for sustainable agricultural plastics Scientific Recognition : Ranked in the top 2% of scientists worldwide by Stanford University (based on citations and h-index) Publications focus on: Cybersecurity in Agriculture 4.0/5.0 Smart sensors and edge computing for resource management Biopolymer innovations and nanotechnology Structural analysis of agricultural systems Sustainable construction materials from agro-waste Fire resistance in steel and composite structures
Malcolm Innes is a Senior Lecturer at the Edinburgh Napier University's School of Arts and Creative Industries . With over 10 years of research outputs, his work spans lighting design, smart textile applications, and heritage conservation. Specializes in lighting for historical sites Leader in community co-design urban lighting Expert in light-sensitive material preservation Research trends focus on: Merging art and science in illumination Smart textiles for performance environments Heritage site lighting innovation Projects include: 12 Closes Community Co-design (2016-2022) Dunbar SciFest Projection (2015) Edinburgh Zoo Night Trail (2014-2015)
Marco Simonetti is an Associate Professor at the Department of Energy (DENERG) of Politecnico di Torino, with affiliations to the CleanWaterCenter@PoliTo and Energy Center Lab. He serves as a Course Instructor for Solar Thermal Technologies and Thermotechnical System Design in the Energy and Nuclear Engineering department, and as a Lecturer for Energy Transition and Low-Carbon Architecture modules. Research Interests: Atmospheric water harvesting, Building energy simulation, Natural ventilation, Solar cooling Skills: Computational Fluid Dynamics (CFD), Environmental Engineering, Sustainable Building Physics His recent research focuses on atmospheric water harvesting systems using biocomposite hydrogels, airborne disease mitigation through ventilation strategies, and climate-responsive architectural design. He leads the SMAP project on alginate-bentonite hydrogel for water vapor capture and participates in international collaborations like PRINCETO with Princeton University. Marco holds multiple patents including Bio-Stopper for infection control, ventilation systems with biofilters, and water harvesting technologies. He supervises PhD student Hamed Rasam, who analyzes aerosol spread in indoor environments.
Dr. Hendrik Morgenstern serves as a Postdoc and Senior Engineer at RWTH Aachen University's Chair and Institute of Construction Management, Digital Engineering and Robotics in Construction (ICoM), where he advances digital solutions for building maintenance and construction robotics. His work focuses on integrating Building Information Modeling (BIM) with diagnostic data to optimize infrastructure lifecycle management. Morgenstern earned his B.Sc. and M.Sc. in Civil Engineering with specialization in Functional and Structural Engineering from Karlsruhe Institute of Technology (KIT), complemented by studies in Sustainable Development. He completed his Dr.-Ing. doctorate at RWTH Aachen in 2023 with research on automated maintenance planning using BIM-enriched diagnostic data. His research program centers on digitized building maintenance, BIM applications for existing structures, and robotics automation in construction. Key contributions include predictive maintenance frameworks using Bayesian inference, geopolymer material development for structural repair, and point cloud integration for as-built modeling. He emphasizes resource efficiency and data-driven decision-making across all projects. Analysis of his 15 publications (2021-2025) reveals three dominant trends: (1) Convergence of BIM with non-destructive diagnostics for predictive maintenance, (2) Development of smart materials like temperature-stable geopolymers for crack injection, and (3) Integration of robotics and AI for automated facility management. His work consistently bridges civil engineering fundamentals with computer science innovations. Morgenstern actively contributes to major research initiatives including the RoboTUNN project (awarded bauma Innovation Award 2025 for tunneling robotics) and the BIM4People consortium focused on digital transformation in construction. His work demonstrates strong industry collaboration through projects with German construction firms and participation in standards development.
Professor Zhu Qi is a faculty member in the Department of Electrical and Computer Engineering at Northwestern University's McCormick School of Engineering, with courtesy appointment in Computer Science. He leads the IDEAS Lab (Design Automation of Intelligent Systems Lab) where his research focuses on design automation for intelligent cyber-physical systems and Internet-of-Things applications. His research interests include safe and robust machine learning for embodied AI systems, cyber-physical security, energy-efficient CPS, and system-on-chip design. Professor Zhu's work particularly addresses safety, robustness, security, adaptability, resiliency, and energy challenges in the design and operation of embodied AI systems. His applications span connected and autonomous vehicles, robotics, advanced manufacturing, wearable computing, smart buildings and infrastructures, and IoT. Professor Zhu's recent publications reveal a strong focus on safety verification of neural network controlled systems, robust reinforcement learning methods, and applications of large language models in autonomous systems. His work often combines formal verification techniques with machine learning approaches to provide safety guarantees for AI-enabled cyber-physical systems. DATE 2022 Best Paper Award AutoSec 2021 Best Short Paper Award ACM TODAES 2016 Best Paper Award IEEE TCCPS Early-Career Award (2017) Humboldt Research Fellowship for Experienced Researchers (2017) NAE US Frontiers of Engineering participant (2020) Professor Zhu has secured multiple research grants from NSF (including FM, DESC, and Fuse grants), DOE, ONR, and industry partners including GM and Toyota. His advising includes PhD students Shuyue Lan and Hengyi Liang, and postdoc Chao Huang who became a Lecturer at University of Liverpool. He leads the IDEAS Lab which focuses on cross-layer design, verification, and adaptation of learning-enabled cyber-physical systems.
Eckhard A. Groll is the William E. and Florence E. Perry Head of Mechanical Engineering and Reilly Distinguished Professor at Purdue University's School of Mechanical Engineering. His leadership spans academic administration and cutting-edge research in thermal sciences, HVAC&R systems, and sustainable energy technologies. Education: Doctor of Engineering (Doktor-Ingenieur), Mechanical Engineering, University of Hannover (1994) Master of Engineering (Diplom-Ingenieur), Ruhr-University Bochum (1989) Pre-Diploma in Mechanical Engineering (Diplom-Vorprüfung), Ruhr-University Bochum (1986) Research focuses on thermal systems optimization , refrigeration technology , and high-performance building solutions . His work integrates experimental analysis, numerical modeling, and system-level optimization to advance energy-efficient technologies. Notable contributions include innovations in chemical looping heat pumps , CO2-based refrigeration cycles , and smart grid integration . Recent publications explore predictive control in HVAC systems, low-GWP refrigerants, and microgravity thermal systems. Awards include the J&E Hall International Gold Medal , Purdue Innovator Hall of Fame , and multiple recognitions for teaching and service. He has advised over 50 graduate students and holds leadership roles in ASHRAE and the International Institute of Refrigeration. Current initiatives include DC nanogrid systems , electrochemical heat pumps , and spacecraft thermal management . Active collaborations span Purdue’s Center for High Performance Buildings and global institutions like Shanghai Jiao Tong University.
Kevin Kircher is an Assistant Professor of Mechanical Engineering at Purdue University's West Lafayette School of Mechanical Engineering. He holds a PhD in Mechanical Engineering from Cornell University (2019). His research focuses on building electrification, grid integration of flexible loads, and advanced control strategies for energy systems. He leads the Kircher Research Group and is affiliated with Purdue's Center for High Performance Buildings. Key research areas include optimizing heat pump systems, model predictive control for HVAC, and mitigating grid strain through demand response. Recent work includes field studies on thermostat behavior, residential electrical infrastructure protection, and DC lighting systems for buildings. His contributions span 70+ peer-reviewed publications in journals like Applied Energy and Building and Environment , and conferences such as the International High Performance Buildings Conference. He has pioneered open-source tools like the BLDG toolbox and EDGIE simulation framework. Current projects address building-grid interactions, occupant behavior impacts, and decarbonization strategies for commercial/residential sectors. His work bridges mechanical engineering with data-driven control methodologies to advance sustainable energy systems.
Associate Professor Bryan Boruff is affiliated with the University of Western Australia (UWA), specifically within the School of Agriculture and Environment. His roles include Specialisation Coordinator for Sensing and Spatial Data Science in the Master of Environmental Science program. He holds a PhD from the University of South Carolina and has expertise in Geographic Information Systems (GIS), Remote Sensing, and environmental hazard analysis. Education: BA, MA Flor.At. PhD from University of South Carolina His research focuses on applying GIS and Remote Sensing to environmental hazards, agriculture, renewable energy, population health, and urban planning. Recent work includes studies on the impact of green spaces on children’s health and the development of spatial tools for environmental management. Recent articles explore topics such as the association between coastal proximity and child development, land use mapping in Fiji, and the role of urban vegetation in mitigating heat. These studies highlight his interdisciplinary approach, blending geospatial technologies with public health and environmental sustainability. He has secured significant funding, including over $1.6 million from ACIAR for climate-smart landscapes research and a $1.7 million National Environmental Science Program grant. Collaborations span international projects in Fiji, Cambodia, and Pakistan, addressing disaster recovery and climate resilience. Boruff is involved in initiatives like the UWA Oceans Institute and the Institute of Agriculture. His teaching includes advanced GIS and remote sensing courses, contributing to the next generation of spatial data scientists.
Dr. Evangelos Markopoulos is a Lecturer at the University College London School of Management, specializing in Knowledge & Innovation Management, Entrepreneurship, and Futuristic Interactive Technologies. He holds a PhD in MIS Project Management and has extensive industry experience with IBM, Siemens, and Bell Labs. His research focuses on integrating Digital Twins, Metaverse Applications, and ESG Compliance into organizational strategies. He has published 120+ papers and authored a book on Innovative Organizational Cultures. Notable achievements include a Clinton commendation and two Global Social Innovation Awards (HultPrize). His teaching emphasizes real-world industry collaboration through internships and competitions. Education: BSc Computer Science → MSc Computer Science/Artificial Intelligence → PhD MIS Project Management. He has taught at QMUL, UCL, Essex, and others. Research interests span Digital Transformation, Sustainable Leadership, and Gamification in Education. Current projects include VR safety training for maritime sectors and democratic innovation frameworks. Key Research Themes: ESG-SDGs Alignment, Metaverse in Maritime Training, Democratic Organizational Culture Student Impact: Mentored teams to global awards in social innovation Industry Collaboration: Founder of companies in Project Management, Enterprise Engineering, and Innovation Apps
Steven B. Leeb is a Professor of Electrical Engineering and Computer Science (EECS) and Mechanical Engineering at MIT. He holds the Carl Richard Soderberg Chair in Power Engineering and is a MacVicar Fellow, recognizing his excellence in teaching and research. His work focuses on power electronics, energy conversion systems, motor drives, and nonintrusive power monitoring. Leeb has contributed to advancements in smart grid technologies, building energy management, and fault detection systems. He leads interdisciplinary research integrating control systems with renewable energy applications. Education: B.Sc., M.Sc., M.Eng., and Ph.D. in Electrical Engineering from MIT (1987–1993). His career at MIT spans over three decades, progressing from Assistant Professor (1993) to Full Professor (2005). He has advised numerous projects in collaboration with industries and military applications, including naval propulsion systems and unmanned aerial vehicle (UAV) energy buffering. Research Interests: Power Electronics and Motor Drives Nonintrusive Load Monitoring (NILM) Building Energy Management Smart Grid Technologies Sensors and Sensor Networks Electromagnetic Systems Awards: Over 15 major awards, including the National Science Foundation CAREER Award (1996), IEEE Fellow (2007), and multiple R&D 100 Awards. His work has led to patents in nonintrusive monitoring systems, smart lighting, and energy-efficient technologies. Teaching: Courses include Mechanical Engineering Tools (2.670) , Power Electronics Laboratory (6.131) , and Microcomputer Project Laboratory (6.115) . He emphasizes hands-on learning through labs like his DC motor experiments, which are featured in freshman orientation programs. Labs/Teams: Active in MIT’s Energy Initiative, collaborating with industry partners on projects such as naval propulsion systems and UAV energy systems. His group develops prototypes for commercial applications in smart buildings and renewable energy integration.
Duane Robinson is an Associate Professor at the Faculty of Engineering and Information Sciences, University of Wollongong. He serves as Director of the Australian Power Quality and Reliability Centre and Deputy Director of the Sustainable Buildings Research Centre. Robinson completed his B.E. (Hons I) in Electrical Engineering at University of Wollongong in 1998 and his PhD on harmonic distortion in distribution systems at the Integral Energy Power Quality Centre. His research focuses on modelling, analysis and control of power transmission/distribution systems, energy efficiency, renewable energy applications, microgrids, and power quality mitigation techniques. Recent publications demonstrate strong emphasis on PV integration challenges, harmonic analysis, voltage control optimization using AI techniques, and economic impacts of power quality issues. Award highlights include the 2018 Best Research Paper Award (International Conference on Sustainability in Energy and Building) and 2004 Cresswell Award from Electric Energy Society of Australia. Robinson leads multiple PhD projects on energy flexibility, grid-forming inverters, and AI-based control systems.
Jun Wang is Assistant Professor and Director of the Mississippi Transportation Research Center in the Department of Civil and Environmental Engineering at Mississippi State University. He holds a Ph.D. in Civil Engineering from McMaster University, with research interests spanning smart construction, sustainable infrastructure, human-robot collaboration, and construction safety. Awarded the prestigious NSF CAREER grant ($557,391) for VR and AI research in construction robotics, he leads projects sponsored by NSF, DOT, CDC, and industry partners. Key research areas include: Virtual Reality and AI for safety training Human-in-the-loop cyber-physical systems Sustainable infrastructure development Construction automation technologies His recent publications explore drone systems for marine debris management, VR safety training, AI-powered PPE detection, and digital twin frameworks, with work appearing in leading engineering and computing venues.
Prof. Menghao Qin is a leading expert in Building Physics and Materials at ESPCI Paris, France. His research focuses on advanced building physics, innovative energy materials, and indoor environmental quality. He holds the Saint-Gobain Chair and leads projects on smart materials like metal-organic frameworks (MOFs) for moisture regulation and energy efficiency. His work emphasizes hygrothermal control, green building design, and zero-energy building systems such as the P+ Demonstration Building. Prof. Qin has led international initiatives like IEA Annex 68 and 92, addressing energy-efficient IAQ management and smart materials for residential buildings. His group develops novel materials and models to enhance building performance while reducing energy consumption. Research highlights include MOF-based humidity control materials, moisture buffering theory, and predictive hygrothermal models. He collaborates globally on projects such as the Wujin Green Building Industry Cluster in China and has authored over 180 peer-reviewed papers and three books. His work bridges material science, environmental engineering, and sustainable architecture to address climate challenges in built environments.
