Dr. Li Ying is an Associate Professor and Doctoral Supervisor at the Department of Marine Science and Engineering, Southern University of Science and Technology (SUSTech), where she directs the Center for Marine Atmospheric Sciences. Her research focuses on atmospheric aerosol remote sensing , secondary pollution numerical modeling , and ocean-atmosphere interaction studies under climate change contexts. She holds a PhD in Atmospheric Environmental Science from the Hong Kong University of Science and Technology (2011), MSc in Atmospheric Science from Peking University (2006), and BSc in Physics from Bohai University (2002) with joint study at Tsinghua University. Her professional journey includes roles as Research Assistant Professor at HKUST (2015-2016) and Postdoctoral Fellow at HKUST (2011-2015), with visiting scholar experience at the University of Tennessee (2008-2009). Her research group develops satellite-based remote sensing algorithms for aerosol components (PM2.5, black carbon), studies ozone formation mechanisms in the Pearl River Delta, and creates novel emission control evaluation methods . She leads major projects including Shenzhen Smart City Atmospheric Monitoring and Guangdong-Hong Kong-Macao Air Quality Research Team . Scientific achievements include 60+ SCI publications in journals like Remote Sensing of Environment and Environmental Science & Technology Over 2,400 citations and H-index 24 Two ESI Highly Cited Papers Recipient of Shenzhen Overseas High-level C Talent (2017)
Patrick Blumschein serves as Academic Director and Head of ZELF (Center for Teacher Training) at the Freiburg University of Teacher Education, where he also leads the Department of Educational Research and School Pedagogy within Faculty 1 (Institute of Educational Science). He holds a doctorate from the University of Freiburg (2003) and has been with the PH Freiburg since 2011, serving as Head of ZELF since 2015. His research focuses on educational science, instructional design, blended learning, and teacher training. Blumschein designs continuing education courses for teachers in Baden-Württemberg, making new research findings accessible through ZELF's quality framework-based courses that offer ECTS credits and can contribute to Master of Arts degrees through the MAPLE concept. His recent publications demonstrate a strong focus on hybrid learning environments, model-based instructional approaches, and the integration of technology in education. His work spans theoretical foundations of instructional design to practical applications in teacher training and corporate education settings. Blumschein actively collaborates with external partners, including Daimler AG since 2016, conducting educational needs analyses and developing prototype learning environments, particularly exploring virtual reality applications for continuing education. Since 2015: Head of Centre for Teacher Training at PH Freiburg Since 2011: Institute of Educational Science at PH Freiburg 1998-2011: Research Associate at University of Freiburg 2003: Doctorate at University of Freiburg 1997: Master's degree in Sociology, History and Educational Science His work on projects like MUSE (Master for Teaching and School Development) and MAPLE demonstrates his commitment to flexible, research-based teacher education that accommodates working professionals while maintaining academic rigor.
Marco Molinari is a Researcher at the Department of Energy Technology within the School of Industrial Engineering and Management at KTH Royal Institute of Technology. He has been actively contributing to building energy research since completing his PhD at KTH in 2012, with previous postdoctoral experience at the ACCESS Linnaeus Centre, KTH Department of Automatic Control (2013-2016). Dr. Molinari's research focuses on smart buildings and the integration of Information and Communication Technologies in the built environment. His expertise spans energy monitoring systems, advanced control approaches for building systems, and passive techniques for low energy buildings. He has made significant contributions to exergy analysis in building systems and has been instrumental in developing the KTH Live-In Lab as a research platform. His recent publications demonstrate strong activity in digital twin applications for buildings, occupant-centric control systems, and energy efficiency analysis. The research trends show increasing focus on human-building interaction, cybersecurity aspects of smart buildings, and data-driven approaches to building control and optimization. Molinari actively participates in multiple research initiatives including the KTH Live-In Lab, Center Dig-It Lab, Digital Futures, and the Digitalized Industry working group. He has contributed to international projects such as the International Energy Agency ECBCS Annex 49 and serves on the editorial board of the International Review of Applied Sciences and Engineering. As an educator, he teaches courses in AI applications for sustainable energy engineering, heat pumping technologies, and sustainable building design. His supervision has focused on theses related to low energy buildings design, energy management, and building controls.
William W. Braham is a Professor of Architecture at the University of Pennsylvania School of Design and a leading figure in environmental building design. He directs the Center for Environmental Building + Design (CEBD) , which focuses on climate action plans and carbon footprint accounting for buildings and cities. Ph.D. in Architecture Fellow of the American Institute of Architects (FAIA) His research spans thermodynamic principles in architecture, energy systems in urban environments, and the intersection of climate policy with architectural practice. Recent projects address critical issues like: Heat stress mitigation in vulnerable urban communities Blockchain-enabled environmental accounting Bioclimatic design strategies for desert climates Urban asset spatial concentration analysis Braham’s academic work integrates computational modeling with ecological theory, evidenced by publications on machine learning applications for shading systems and ozone exposure analysis. His authored books include Architecture and Systems Ecology (2016) and Energy Accounts (2016). CEBD collaborates with diverse clients on professional projects, emphasizing thermodynamic rigor and environmental responsibility in architectural practice. Current research explores emergy-based frameworks for evaluating sustainability and the ethical dimensions of building performance metrics.
Meeli Rannastu-Avalos is a Lecturer at the Institute of Education , Faculty of Social Sciences , University of Tartu , with a focus on Educational Technology . She has held various academic roles since 2017, including Assistant and Junior Lecturer , and has been involved in projects like DigiEfekt and Go-Lab , emphasizing digital learning materials and collaborative inquiry-based science education . Education: Research Master's Degree in Agricultural Science (Animal Husbandry), Estonian University of Life Sciences (2004) PhD student at University of Tartu (since 2018) Research Interests center on educational technology , inquiry-based learning , collaborative problem-solving , and 21st-century skills in science education. Her work explores how smartphone-based simulations and digital tools enhance student collaboration and learning outcomes. Publication Trends highlight her contributions to collaborative learning in technology-enhanced environments, with recent articles analyzing asymmetric simulations (2025), social-emotional skills (2023), and AI-assisted qualitative data analysis (2023). She has published in journals like Journal of Baltic Science Education and Estonian Journal of Education , as well as conference proceedings (CollabTech, ICALT). Scientific Awards: 2004 Laureate of DeLaval Scholarship Projects include the DigiEfekt initiative (€300,000 funding) and development of smart device-friendly simulations . She has also contributed to Go-Lab ecosystem for digital lesson creation and participated in institutional research administration (Estonian Science Information System, ORCID: 0000-0002-7804-1430).
Dr. Muhammad El-Hindi is a Postdoctoral Researcher at the Chair of Decentralized Information Systems and Data Management at the Technical University of Munich . He joined the chair in August 2025 and focuses on cloud-native data systems, distributed systems, and formal verification of distributed protocols. His work emphasizes designing high-performance, cost-efficient services like write-ahead logging and distributed page servers, aiming to enhance reliability and security in large-scale systems. Research Interests: Cloud-native data systems, secure cloud databases, distributed systems, formal verification of protocols Teaching: Cloud Information Systems, Data Structure Engineering, Blockchain Technologies, Federated Learning, Distributed Graph Processing Email: muhammad.el-hindi@tum.de His recent publications explore kernel-bypass optimization, AWS Nitro Enclaves, Intel SGX hardware, and blockchain-based shared databases. While no scientific awards are explicitly mentioned in the available data, his work contributes to advancing secure and efficient data management in cloud environments.
Kai Kuck, PhD, ME, serves as Director of Bioengineering in the Department of Anesthesiology at the University of Utah School of Medicine since 2014. With expertise spanning multiple engineering disciplines and clinical applications, he bridges the gap between medical technology development and clinical practice in anesthesia and critical care settings. His educational background includes doctoral training at the University of Utah, an ME from Hamburg University of Applied Sciences, and executive education from Babson College. This diverse academic foundation supports his interdisciplinary approach to medical device innovation. Dr. Kuck's research focuses on three primary areas: cardiorespiratory monitoring systems, intelligent decision support tools for clinicians, and advanced ventilation technologies. His work emphasizes practical solutions that address real-world clinical challenges, particularly in the operating room and critical care environments. He has pioneered non-invasive monitoring techniques, including urine oxygen monitoring for acute kidney injury detection and novel approaches to anesthetic gas concentration sensing. Analysis of his recent publications reveals a strong emphasis on solving critical clinical problems through engineering innovation. His work spans from fundamental research on physiological monitoring to practical device development, with particular focus on kidney injury prediction, propofol dosing algorithms, and ventilator technology - especially highlighted during the COVID-19 pandemic with the Utah-Stanford Ventilator project. Dr. Kuck has co-authored numerous patents related to anesthesia monitoring and delivery systems, demonstrating his commitment to translating research into practical clinical tools. His collaborations span engineering, clinical anesthesia, and critical care medicine, reflecting the interdisciplinary nature of modern medical technology development. His leadership in developing the Utah-Stanford Ventilator (Vent4US) during the pandemic exemplifies his ability to rapidly mobilize engineering resources to address urgent clinical needs. This project, along with his work on urine oxygen monitoring and propofol dosing algorithms, demonstrates his focus on technologies that improve patient outcomes through better physiological monitoring and treatment delivery.
Fredrik Envall is a Lecturer at Linköping University working within the Department of Theme (TEMA) and specifically in the Theme Environmental Change (TEMAM). His academic work bridges environmental challenges, political processes, and technological systems with a strong interdisciplinary approach. Envall's educational background includes a PhD in Technology and Social Change (2021), a Master's degree in Political Science (2015), and a Bachelor's degree in Environmental Science (2012), all from Linköping University. This diverse academic training informs his transdisciplinary research perspective that examines how environmental problems are understood and managed in society. His research employs critical social science perspectives including socio-technical infrastructure studies, discourse analysis, and green democracy theory. Methodologically, he utilizes text analysis, interview studies, action research, and ethnographic approaches to investigate the societal processes that unfold when environmental policy ambitions are translated into practice across different contexts. Envall has a particular interest in the political and environmental impacts of technologies and governance arrangements, with empirical focus on climate change-related infrastructures. His work spans from formal policy processes to grassroots initiatives, with specific emphasis on energy communities and their democratizing potential. Current research addresses democratic and justice issues in the energy transition, including climate populism and tensions between rapid energy system change and democratic legitimacy. His recent publications (2023-2025) demonstrate a consistent focus on energy communities, smart grid pilot projects, and just transition pathways, revealing trends toward examining the democratic dimensions of technological solutions to climate change. These works collectively emphasize the tension between technical optimization and democratic participation in energy systems. Envall has contributed significantly to public understanding through popular science publications including policy briefs, reports, and study materials on energy communities as tools for just transition. His media appearances in outlets like Göteborgs-Posten and Sveriges Radio demonstrate his commitment to engaging with broader societal debates about energy justice and climate policy. Legitimacy and Acceleration in Green Energy Initiatives and Transitions (LEGIT) Trans4Demo - addressing controversial politics around climate change Research on alternative electricity system architectures Local solar energy communities and energy democracy STRIPE - interdisciplinary research on infrastructures, politics and environment Environmental Humanities research initiatives Envall teaches across multiple programs at Linköping University including Urban Planning, Environment/Climate/Sustainable Development, Political Science, and the Science for Sustainable Development Master's program. His teaching focuses on social processes around environmental problems and transitions, connecting classroom learning with real-world sustainability challenges and democratic engagement.
Shafaeat Hossain is a Professor in the Department of Computer Science at Southern Connecticut State University (SCSU) . He holds a Ph.D. in Computational Analysis and Modeling from Louisiana Tech University (2014) and advanced degrees from the University of Dhaka. His research focuses on machine learning , user authentication in smart devices , behavioral biometrics , and multi-biometric verification . B.S. in Computer Science and Engineering, University of Dhaka (2006) M.S. in Computer Science, Louisiana Tech University (2012) Ph.D. in Computational Analysis and Modeling, Louisiana Tech University (2014) His work bridges machine learning with security applications , particularly in touchscreen gesture analysis , continuous authentication , and behavioral biometrics for smartphones. He explores multi-biometric fusion strategies to enhance security and user convenience, while also investigating game theory in social networks and NLP for deep authorship attribution . Recent publications highlight advances in capacitive swipe authentication , zoom gesture analysis , and Wi-Fi indoor positioning . Collaborative studies address sleep apnea diagnosis and smartwatch dynamics in verification systems. SCSU Faculty Scholar Award (2023) SCSU Mid-Level Faculty Research Fellowship (2019) Senior Member, IEEE He has secured grants totaling over $25,000 from SCSU, CSU-AAUP, and UConn for projects on child safety in digital authentication and multi-biometric security enhancement . His scholarship spans IEEE Access , Computers & Security , and top-tier conferences like IEEE IJCNN and SMARTCOMP .
Patricia Anthony serves as Associate Professor at Lincoln University's School of Landscape Architecture in New Zealand, where she holds an ORCID identifier 0000-0002-4991-3340. Her academic appointments include Faculty Postgraduate Chair for the Faculty of Environment, Society and Design (2021-2024) and current affiliation with the Centre for Geospatial and Computing Technologies (2025-present). Previously, she served as Head of Department (2016-2017), Department Postgraduate Coordinator (2014-2016), and SHIFT Coordinator (2017-2020). Her educational background comprises a Ph.D. from the University of Southampton, United Kingdom; an M.Sc. from Birkbeck, University of London, United Kingdom; and a BSc (High Honors) from the State University of New York, United States. She is proficient in Malay language, with reading, writing, and speaking capabilities. Dr. Anthony's research centers on agent and multi-agent systems, utilizing artificial intelligence techniques including machine learning, evolutionary computation, and text processing as decision-making strategies for agents. She is recognized as a leading researcher applying intelligent agents across diverse domains such as online auctions, agriculture, education, and social media analysis. Her specialized work in sentiment analysis and emotion identification enables agents to detect emotional states in textual communications, with recent applications in earthquake tweet analysis. Her publication record demonstrates consistent scholarly output with over 130 publications, showing particular strength in applying multi-agent systems to practical challenges. Recent work reveals three major research streams: trust and reputation management in IoT environments (accounting for approximately 30% of recent publications), agricultural technology applications including mastitis detection and water resource management (approximately 40%), and social media analysis focusing on elderly technology adoption and cyber aggression classification (approximately 30%). Adjunct Professor, Hubei University of Technology, Wuhan, China Program Committee/Senior Program Committee member for Pacific Rim International Conferences on Artificial Intelligence (PRICAI) 2016, 2018, 2019 Co-chair for International Carnahan Conference on Security Technology (ICCST) 2014, 2016, 2018, 2020 Member of Institute of Electrical and Electronics Engineers (IEEE) Reviewer for Engineering Applications of Artificial Intelligence, Malaysian Journal of Computer Science, and Adaptive Behaviour Dr. Anthony has supervised numerous postgraduate students across multiple research areas related to multi-agent systems, with completed projects spanning cyber aggression classification, agricultural technology, IoT security, and elderly technology adoption. She serves as an examiner for advanced computing courses including Advanced Database (COMP643), Advanced Programming (COMP642), and Studio Project (COMP639), demonstrating her integration within the university's computing curriculum despite her Landscape Architecture appointment. Her research aligns with Sustainable Development Goal 11 (Sustainable Cities and Communities), reflecting her commitment to applying computational techniques to address real-world challenges in urban and community contexts. She actively collaborates across disciplines through the Centre for Geospatial and Computing Technologies, bridging computational methods with landscape architecture applications.
Xiaofei Xie is an Assistant Professor in the School of Computing and Information Systems at Singapore Management University (SMU), where he has been employed since 2022. Prior to this position, he was a postdoctoral researcher at Nanyang Technological University in Singapore from 2018 to 2021. His research primarily focuses on program analysis, software testing, vulnerability detection, and quality assurance of AI systems. SMU is ranked No. 9 (No. 5 in Asia) in the Software Engineering category according to CSRankings. Dr. Xie's research interests span multiple critical areas in software engineering and AI systems. His work on program analysis includes detecting non-termination bugs and developing practical methods like EndWatch for real-world software. In software testing, he has made significant contributions to deep learning systems testing, autonomous driving systems testing, and smart contract security. His research on vulnerability detection encompasses various aspects of AI security, including backdoor attacks, adversarial examples, and security testing for web-based deep learning frameworks. His quality assurance work for AI systems includes developing metrics for robustness evaluation and creating testing methodologies for diverse AI applications. Dr. Xie's publication record shows a strong trend toward integrating large language models with traditional software engineering techniques. His recent work demonstrates increasing focus on testing autonomous systems, securing AI models, and applying advanced machine learning techniques to traditional software engineering problems. The research spans multiple domains including deep learning frameworks, smart contracts, autonomous driving systems, and federated learning environments. Among his notable achievements are multiple ACM SIGSOFT Distinguished Paper Awards (ASE 2019, ASE 2023, ISSTA 2022), the ACM Tianjin Doctoral Dissertation Award 2019, and the Best Paper Award at APSEC 2020. His work has been accepted to top-tier conferences including ICSE, FSE, ASE, ISSTA, and security venues like USENIX Security. Dr. Xie actively serves the academic community as a PC co-chair for ICECCS 2025 and as a program committee member for numerous prestigious conferences including ICSE, FSE, ASE, ISSTA, and AAAI. He has also organized workshops such as the Workshop on AI and Software Testing/Analysis (AISTA) and served as Guest Editor for special issues on AI security. His service demonstrates leadership in bridging software engineering with AI and security research communities.
Feixiong Liao is a tenured Assistant Professor in Urban Planning and Transportation at Eindhoven University of Technology. He serves as Education Coordinator for the USRE Unit and holds affiliations with EAISI Mobility. His research focuses on developing large-scale urban transportation planning models. Education includes a doctorate degree (cum laude) from TU/e, where he developed multi-state supernetwork approaches for metropolitan accessibility. Post-doctoral research involved international collaborations on travel behavior analysis. Research interests center on network modeling for mobility demand, accessibility measurement in urban contexts, behavior analysis with bounded rationality, service innovation for mobility issues, and sustainability in mobility-energy-social nexuses. His work integrates land-use transport modeling, AI applications, and climate-neutral mobility solutions. Publications show strong focus on transportation modeling innovations, particularly in multimodal systems, activity-travel behavior, and sustainable mobility solutions. Recent works increasingly incorporate machine learning and big data approaches to urban mobility challenges. Best Paper Award (in CTS) 2019 Best Paper Award (POMS in China) 2019 Education Innovation Fund 2020 HKSTS Best Student Paper Award 2011 Supervises 5-7 PhD students and post-docs annually. Leads the international joint research program JPI Urban Europe (2019-2024) on accessibility valuation. Secured multiple grants including a five-year education innovation fund for challenge-based learning in smart mobility. Leads research groups including EAISI Mobility and Urban Planning and Transportation Group. Coordinates the UBeX Urban Behavior eXtended reality lab project until 2026.
Hadi Tabatabaee is an Assistant Professor at the School of Computer Science, University College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). His research focuses on sustainable orchestration of services across edge-cloud environments, emphasizing energy efficiency, carbon-aware systems, and AI-driven applications like large language models (LLMs). Key roles include Associate Editor for IEEE Access and Management Committee member of COST Action CA22151 (CYPHER). He holds a PhD in Computer Engineering from the University of Isfahan and has held academic positions at Maynooth University, Shahid Beheshti University, and Trinity College Dublin's CONNECT research program. Education: PhD (Computer Engineering, University of Isfahan), MSc (Computer Engineering), with a research visit at TU Delft (2010-2011). Certifications include Epigeum's Research Leadership and Research Integrity courses. Languages: Persian (fluent), Azerbaijani (spoken). Research Interests: Edge-cloud continuum, dynamic service placement, distributed AI workloads, LLM optimization, and sustainable resource management. Recent work includes zero-trust vehicular networks, parallel algorithms for recommender systems, and geospatial event processing. Awards: None explicitly listed, though his contributions include over 20 journal articles in IEEE/Elsevier/Springer venues. Professional Activities: IEEE Senior Member, TPC member for IEEE conferences, and reviewer for multiple journals. Teaching: Coordinates/teaches Cloud Computing, Computer Networks, and Principles of Computer Organization at UCD.
Prof. Dan van Eijk is a Professor at Delft University of Technology (TU Delft), affiliated with the Faculty of Industrial Design Engineering and the Department of Industrial Design Engineering. His work focuses on Human-Centered Design, Human Factors, and the integration of AI and XR (Extended Reality) into healthcare and technology. He has contributed to projects such as SPLASH, developing innovative bathing solutions, and has advised on cross-cultural surgical training using immersive technologies. Education details are not explicitly listed, but his research interests emphasize applying design principles to healthcare, mobility, and sustainability challenges. His recent publications explore XR-enhanced robotic surgery, smart environments, and VR prototyping for inflight lavatories. Prof. van Eijk holds ancillary roles as a consultant for organizations like Van Eijk Consultancy, Spark design & innovation, and Loughborough University. His work bridges academic research with practical applications in design innovation and human factors engineering. He teaches courses such as Packaging for Designers and Advanced Concept Design , fostering students' ability to create user-centric solutions. His research and consultancy activities reflect a commitment to advancing design methodologies in both academic and industrial contexts.
Dr. Maria Ribera Sancho is a Professor at the Polytechnic University of Catalonia (BarcelonaTech), holding roles as Dean of the Faculty of Informatics of Barcelona (2004–2010), Vice-Dean (1998–2004), and currently Manager of the Education and Training Department at the Barcelona Supercomputing Center (BSC-CNS). She chairs the EQANIE Accreditation Committee and serves on the ACM-W Europe Executive Committee. Her research focuses on Software Engineering, Conceptual Modeling, Ontologies, Learning Analytics, and IoT applications. Notable contributions include work on automated design using conceptual models, model-driven software development, and semantic-based IoT infrastructure monitoring. She leads projects like LinDaFIX (social welfare data tools) and REMEDiAL (ontology-driven software automation). Key awards include the UPC Quality in Teaching Prize (2005, 2021), Jaume Vicens Vives Distinction (2005), Sapiens Award (2011), and Festibity Award (2011). She advises doctoral and master’s students on topics like IoT semantic monitoring and educational ontology development. Academic director of the inLab FIB Talent Program, she also directs the PRACE Advanced Training Center at BSC. Main projects include TINTIN (SQL integrity tool), e-Catalunya (collaborative government platform), and PILARES (learning analytics for secondary education). Her work bridges academia and industry through competitive projects with companies and institutions.
