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Vinko LešićView profile

Associate Professor

• Model Predictive Control
• Smart Grids
• Renewable Energy Systems
• +5 more

Associate Professor Vinko Lešić is affiliated with the University of Zagreb's Faculty of Electrical Engineering and Computing (FER), specifically within the Department of Control and Computer Engineering. His research focuses on advanced control systems, smart grids, renewable energy integration, IoT applications in agriculture, and optimization algorithms. Notable projects include predictive climate control systems for buildings, precision pest detection using hyperspectral imaging, and energy-efficient street lighting solutions. He has contributed to over 50 peer-reviewed articles and led initiatives like the AgroSPARC project for climate-resilient agriculture. His work bridges theoretical control theory with practical applications in smart cities and sustainable energy systems. Research interests span Model Predictive Control (MPC), distributed energy management, and machine learning integration with industrial automation. He collaborates on EU-funded projects addressing climate change impacts on agriculture and urban infrastructure. Teaching responsibilities include courses on automation fundamentals and process control, emphasizing hands-on IoT and PLC implementations. Current activities include developing zone climate control living labs and resilient energy management systems for buildings and microgrids. Publications highlight innovations such as coalitional MPC for building zones, data-driven thermal modeling, and adaptive battery charging for electric vehicles. He advises projects on renewable energy integration and has pioneered sensor-based systems for crop health monitoring. Though no formal awards are listed, his extensive publication record and industry collaborations reflect his academic and applied contributions.

Hrvoje NovakView profile

Researcher

• Control Systems
• Machine Learning
• Energy Management
• +6 more

Hrvoje Novak is a Leading Researcher at the Department of Control and Computer Engineering, University of Zagreb Faculty of Electrical Engineering and Computing. His work focuses on interdisciplinary research spanning energy systems optimization, precision agriculture, and advanced control methodologies. He has contributed to innovative solutions in predictive control for building energy management, railway traction systems, and water treatment infrastructure. His research integrates machine learning, IoT, and remote sensing technologies to address challenges in smart grids, crop health monitoring, and insect pest management. Key research areas include: Predictive control strategies for energy-efficient systems Machine learning applications in agricultural pest detection Data-driven modeling of urban traffic and infrastructure IoT-based plant development modeling systems Optimization of railway traction and energy storage systems His publications emphasize practical implementations such as hierarchical building energy management, flight mill analysis for invasive species, and grey-box modeling of water treatment plants. Novak collaborates across academic and industrial sectors to advance sustainable technologies.

Cheng ZengView profile

Lecturer

• Renewable Energy
• Sustainable Building Technologies
• Thermal Energy Storage
• +4 more

Dr. Cheng Zeng is a Lecturer in Renewable Energy & Sustainable Technologies at the University of Hull’s Energy and Environment Institute. He holds a PhD in Thermal Energy Storage from Coventry University, complemented by a MSc in Construction Management (Distinction) and a BEng in Building Environment and Services Engineering. His research focuses on low-carbon heating/cooling technologies, thermochemical energy storage, and building decarbonization, with notable projects including an £814k EPSRC initiative for near-zero-carbon cooling systems and energy-efficient holiday home designs. Qualifications: BEng (Chongqing University) | MSc (Coventry University) | PhD (Coventry University) Research interests include data centre cooling innovation, energy-efficient building retrofitting, and renewable energy integration. He actively contributes to professional bodies such as CIBSE and journals like Nature Reviews Clean Technology . Awards include Chartered Engineer (CEng) and Fellow of the Higher Education Academy (FHEA). He supervises MSc and PhD projects on topics like distributed energy systems and community energy management. Current projects include the AOFICEL initiative to enhance energy efficiency in industry-community links (British Academy Grant, £9,450).

Bo Terje KalsaasView profile

Professor

• Lean Construction
• Construction Management
• Project Delivery Models
• +4 more

Bo Terje Kalsaas is a Professor at the Department of Engineering Sciences, University of Agder. He holds a Siv. Ing (1979) and Dr. Ing (1995) from NTH (now NTNU). His research focuses on Lean Construction principles, construction management, and innovative project delivery models like Target Value Design (TVD) and Integrated Project Delivery (IPD). His work emphasizes improving workflow efficiency, reducing waste, and fostering collaboration in complex engineering and construction projects. Key areas include design process optimization, contractual frameworks, and the application of Lean principles in Norwegian and international construction contexts. Education: Siv. Ing, Norges Teknisk-Naturvitenskapelige Universitet (NTH), 1979 Dr. Ing, Norges Teknisk-Naturvitenskapelige Universitet (NTH), 1995 Research Interests: Lean Construction methodologies Project planning and workflow optimization Integrated Project Delivery (IPD) and Target Value Design (TVD) Complex project management in construction Design process efficiency Publications: His work spans over 50 peer-reviewed publications and books, including influential contributions to Lean Construction: Understanding and Improving Project-Based Production (2017). Recent studies analyze Lean adoption in Norwegian AEC industries, IPD implementation challenges, and TVD cost optimization strategies. Grants & Projects: Lead researcher in the E6 Kvål-Melhus IPL/IPD project (2021–present) Contributed to the INPRO project on engineering management predictability Labs/Teams: Involved with the University of Agder's Construction Management research group

Cristina LopesView profile

Professor

• Software Engineering
• Programming Languages
• Distributed Virtual Environments
• +5 more

Cristina Lopes is a Professor of Informatics at the Donald Bren School of Information and Computer Sciences , University of California, Irvine. She holds administrative roles including Director of the Master of Software Engineering Program and former Director of the Institute for Software Research . Her research focuses on software engineering, programming languages, and distributed systems, with contributions to open-source projects like OpenSimulator and AspectJ. She has authored the influential book Exercises in Programming Style . Education: PhD from Northeastern University, MS/BS from Instituto Superior Técnico (Portugal). Awards include IEEE Fellow (2019), ECOOP Test of Time Award (2017), and ACM Distinguished Scientist (2011). She co-founded a virtual reality company for urban redevelopment and leads NSF-funded projects, including the prestigious CAREER Award. Research Interests: Large-scale software systems, aspect-oriented programming, code clone detection, and applying AI to programming challenges. Her work bridges theory and practice, with applications in urban simulation and healthcare systems. Awards and Grants: Over 15 awards including national and international distinctions. Grants focus on scalable software tools and environmental sustainability in computing. Labs/Teams: Leads the Software Engineering Research Group and collaborates with industry partners on open-source infrastructure and AI-driven development tools.

• Software Engineering
• Programming Languages
• Distributed Virtual Environments
• +3 more

Crista Lopes is a Professor in the Department of Computer Science at the University of California, Irvine (UCI), affiliated with the Donald Bren School of Information and Computer Sciences. She serves as Director of the Master of Software Engineering Program and previously led the Institute for Software Research. Her research focuses on software engineering, programming languages, and distributed virtual environments. Dr. Lopes holds editorial roles as Editor-in-Chief of The Art, Science, and Engineering of Programming and on the Advisory Board of PACMPL . She has received notable awards including IEEE Fellow (2019), ECOOP Test of Time Award (2017), and ACM Distinguished Scientist (2011). Her teaching spans courses like INF 212 Programming Languages II and INF 225 Information Retrieval . Recent research includes AI-assisted programming tools, code analysis frameworks like Sourcerer , and studies on climate-conscious conference practices. She actively mentors students in UCI’s Software Engineering doctoral program.

Seyed Ahmad SoleymaniView profile

Research Fellow

• Cybersecurity
• Edge Computing
• Internet of Things (IoT)
• +3 more

Dr. Seyed Ahmad Soleymani is a Research Fellow at the University of Surrey's Institute for Communication Systems and part of the 5G/6G Innovation Centre. His research focuses on cybersecurity, edge computing, IoT, UAV systems, and 5G/6G networks. He has contributed to secure authentication protocols for medical and industrial IoT systems, UAV-assisted edge computing optimization, and multi-target tracking algorithms using Q-learning. His work emphasizes energy efficiency, data security, and real-time applications in smart manufacturing and vehicular networks. Research interests include secure communication in UAV networks, sustainable edge node deployment, and privacy-preserving authentication schemes. He has explored applications such as flood forecasting via UAV-assisted sensors and energy-efficient building systems. His publications span IEEE journals and conferences, addressing challenges in edge computing resource allocation, intrusion detection systems, and trust management in 5G-IIoT environments. Collaborations involve institutions like the University of Electronic Science and Technology of China and Universiti Teknologi Malaysia. Notable contributions include the MI3SE encryption scheme for outdoor IIoT devices and the TRUTH trust scheme for 5G industrial IoT. His work combines machine learning (e.g., SAC, Q-learning) with network optimization to address latency, security, and scalability in modern communication systems. He has also developed frameworks for cybertwin-based 6G networking and secured target tracking in O-RAN environments.

• Building Design and Optimization
• Daylighting Systems
• Thermal Comfort and Energy Efficiency
• +3 more

Athanasiou Tzempelikos is a Professor of Civil Engineering and holds a courtesy appointment as Professor of Mechanical Engineering at Purdue University's College of Engineering. His research focuses on high-performance building design, daylighting systems, thermal comfort, and energy efficiency. He leads studies on dynamic facade systems, indoor environmental quality, and building simulation methodologies. His work integrates advanced technologies like deep learning and Bayesian methods to optimize building performance. Key areas include glare control, occupant preference modeling, and energy-saving strategies for commercial and educational buildings. He has developed novel tools for luminance mapping, thermal preference inference, and smart control frameworks. Research interests also encompass material science for building components and sustainable design. His publications span over a decade of innovation in building energy systems, shading technologies, and occupant-centric design principles. Collaborations bridge engineering, architecture, and data science to address global challenges in energy efficiency and indoor environmental quality.

• Artificial Intelligence
• Machine Learning
• Audio Signal Processing
• +3 more

Shubhr Singh is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science, based in the Peter Landin building (Room CS 403). His research focuses on artificial intelligence, machine learning, audio signal processing, and their applications in bioacoustics and financial technology. He has contributed to advancements in graph neural networks (GNNs) for audio identification and classification, few-shot learning for bioacoustic event detection, and AI-driven innovations in banking systems. His work spans interdisciplinary areas such as perceptual music similarity metrics, intelligent audio control systems, and agricultural studies on crop growth optimization. Singh collaborates on international challenges like the DCASE series, exploring cutting-edge methods in sound event detection and domain adaptation. Key research trends in his publications include leveraging GNNs for complex audio analysis tasks, addressing data scarcity via few-shot learning, and integrating AI into real-world applications like neobanks and agricultural sustainability. His articles reflect a blend of theoretical advancements and practical implementations across diverse domains.

Elena TortaView profile

Assistant Professor

• Robotics
• Human-Robot Collaboration
• Control Systems
• +3 more

Elena Torta is an Assistant Professor in the Robotics section of the Mechanical Engineering department at Eindhoven University of Technology (TU/e). Her research focuses on control and world modeling for collaborative robots, particularly in human-robot and robot-robot collaboration. She holds a PhD cum laude from TU/e and has extensive industry experience as a software architect at ASML, where she advanced to leadership roles in algorithm deployment. Her expertise spans multidisciplinary robotics challenges, including human-robot interaction studies and computational models for robotics control. Education: BSc in Computer Science and Automation Engineering (Università Politecnica delle Marche, Italy) MSc in Automation Engineering (Università Politecnica delle Marche, Italy; thesis research at Technical University of Denmark) PhD cum laude in Automation Engineering (TU/e) Research Interests: Her work integrates robotics, control systems, and artificial intelligence to enhance collaborative robotics. Key areas include semantic-aware motion planning, digital twin technology, multi-agent coordination, and safety-critical robotic systems. Recent advancements involve leveraging building digital twins for robot navigation and semantic learning from human demonstrations. Projects: She leads projects such as EAISI High Tech Systems, AMBER, and KSERA, addressing challenges in healthcare robotics and manufacturing. Her research contributes to UN SDG 9 (Industry, Innovation & Infrastructure) and SDG 3 (Good Health & Well-being). Awards: PhD cum laude (2014) Advising & Grants: Supervised 36 students and secured funding through projects like EAISI startup package. Active in developing educational tools for robotics, including Challenge-Based Education frameworks. Labs & Teams: Engaged in TU/e's Robotics Lab and collaborations with EAISI, focusing on advancing robotics through interdisciplinary approaches.

• Aerodynamics
• Fluid Dynamics
• Building-Integrated Photovoltaics
• +3 more

Dr. Hamid Montazeri is an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e) , Netherlands. He joined TU/e in 2020 and completed his PhD in Building Physics and Wind Engineering at the same institution in 2015. Prior to his current role, he held postdoctoral fellowships from the Research Foundation Flanders (FWO) in 2015 and 2018, focusing on convective heat transfer in turbulent boundary layers and building-integrated photovoltaics at KU Leuven (Belgium). Dr. Montazeri's research expertise includes aerodynamics and fluid dynamics applied to buildings , urban wind energy systems , and renewable energy solutions . He develops advanced multi-scale multi-physics models using computational fluid dynamics (CFD) and machine learning to enhance building energy efficiency and sustainable urban design. His work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG7) and sustainable cities (SDG11). He has received several accolades, including the Best PhD/Postdoc Award (2015) and Best PhD Supervision Team Award (2016) from TU/e's Department of the Built Environment. His 2017 paper was ranked among the top-cited in Building & Environment for 2012-2017. He serves on the editorial boards of Energy , Renewable Energy , and Journal of Wind Engineering and Industrial Aerodynamics , among others. His educational background includes a MSc in Mechanical Engineering (2006) and PhD in Building Physics and Wind Engineering (2015) , both from TU/e. He has supervised 16 research projects and actively collaborates on urban microclimate studies, wind energy harvesting, and building-integrated photovoltaic systems.

Bayu AnggorojatiView profile

Assistant Professor

• Cybersecurity
• User Privacy
• Computer Communication and Networking
• +5 more

Bayu Anggorojati is an Assistant Professor at Monash University, associated with Cyber Security Indonesia. He specializes in cybersecurity, user privacy, and smart city technologies, contributing to global efforts in cyber capacity building and disinformation mitigation. His ORCID is 0000-0003-4580-1162 . Research Projects ASEAN Disinformation Index (2024–2025): Analyzing malicious information’s impact on Southeast Asian democracies (Chief Investigator). Privacy-Preserving Machine Learning in Smart Cities (2023–2024): Developing resilient frameworks for data-driven policy formulation (Chief Investigator). Media Engagements Contributed to features on cybersecurity threats, including a July 2024 article on malicious AIs like FraudGPT and disinformation risks in Indonesia. Highlighted collaborative efforts in digital security architecture and threat mapping through October 2024 media pieces. Advising & Grants Accepting PhD students since 2023. His projects are funded research initiatives involving multi-institutional collaborations, emphasizing practical applications of cybersecurity in policy and technology domains.

Allison Jean CarnegieView profile

Professor

• International Relations
• Political Economy
• Global Governance
• +7 more

Allison Jean Carnegie is a Professor of Political Science at Columbia University, serving as Director of Graduate Studies and Director of the PaGE Lab. With a joint PhD from Yale University (2014) in political science and economics, her research focuses on international relations, political economy, and global governance. Co-authored Secrets in Global Governance (2020) with Austin Carson Authored Power Plays (2015) on coercive diplomacy Published in top journals including American Political Science Review and Foreign Affairs Her work examines populism's impact on international institutions, trade dynamics under authoritarian regimes, and the strategic use of secrecy in global governance. Key findings include: Information suppression challenges institutional effectiveness Populist governments reshape multilateral engagement Secrecy can enhance cooperation in sensitive domains Scientific Awards: David A. Lake Award (2019) Robert O. Keohane Award (2018) Next Horizons Essay Contest Winner (2014) Current research explores AI governance frameworks, with grants from the Bill & Melinda Gates Foundation and ongoing projects about economic sanctions and geopolitical stability.

Rishee JainView profile

Associate Professor

• Urban Sustainability
• Building Energy Efficiency
• Data Analytics
• +3 more

Rishee Jain is Associate Professor of Civil and Environmental Engineering at Stanford University. His research develops data-driven solutions for urban sustainability challenges at the intersection of civil engineering, data science, and social science. The Stanford Urban Informatics Lab focuses on: (1) Socio-spatial dynamics of commercial building energy use, (2) Data-driven urban building benchmarking, (3) Sustainability planning in built environments, (4) Coupled urban system dynamics using machine learning. Recent projects analyze agricultural expansion impacts on biodiversity and economic valuation in forest-agriculture landscapes. Publications demonstrate a strong focus on urban building energy modeling (UBEM), machine learning applications for sustainability, occupant behavior analytics, and equity dimensions of energy systems. Recent work increasingly incorporates generative AI, wearable sensors, and spatial justice frameworks.

Law Wing Keung, AdrianView profile

Professor

• Coastal Engineering
• Hydraulic Engineering
• Environmental Hydraulics
• +5 more

Adrian Law Wing Keung is a Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS), serving since 2024. He holds a PhD and MSc from the University of California, Berkeley, specializing in coastal and hydraulic engineering, and a BEng (Civil) from the University of Hong Kong. His academic roles include Editor-in-Chief of the Journal of Hydro-environment Research and leadership in international committees like the IAHR/IWA Joint Committee on Marine Outfall Systems and ASEAN Hydroinformatics Data Centre. He has extensive consulting experience for water infrastructure projects and focuses on applying research to real-world solutions through his RDTA (Research-Development-Translation-Application) philosophy. Education: PhD in Civil and Environmental Engineering, University of California, Berkeley, USA (1991) MSc in Civil and Environmental Engineering, University of California, Berkeley, USA (1985) BEng (Civil Engineering), University of Hong Kong (1984) Research Interests: Coastal and hydraulic engineering, environmental hydraulics, remote sensing, data-driven process control, machine learning optimization in water systems, and coastal renewable energy. His work emphasizes translating fundamental research into practical applications, such as monitoring coastal environments under climate change and optimizing solar/wind energy systems. Awards: Top-2% Global Scientist by Stanford University (2023) Karl Emil Hilgard Hydraulic Prize (ASCE, 2014) UPS Foundation Visiting Professorship at Stanford (2001-2002) Wesley Horner Award (ASCE, 2000) Professional Activities: Council member of the International Association of Hydro-environment Engineering and Research, editorial board roles in technical journals, and advisory roles for major water infrastructure projects globally. His research outputs span 100+ peer-reviewed articles, with a focus on numerical modeling, remote sensing, and sustainable engineering solutions.