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Dr. K. Max Zhang is a Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. He is the director of the Energy and the Environment Research Laboratory (EERL) and a fellow at the Atkinson Center for a Sustainable Future. His research is deeply interdisciplinary, focusing on sustainable energy systems, air quality, and environmental justice, with significant impacts on policy and community development in New York and beyond. Ph.D., Mechanical Engineering, University of California-Davis, 2004 B.S., Thermal Engineering, Tianjin University, 1998 B.A., English Language, Tianjin University, 1998 Dr. Zhang’s research centers on the integration of energy and environmental systems. He investigates air pollution dynamics using advanced numerical models like CTAG, with applications in near-source pollution, indoor air quality, and environmental justice. His work on renewable energy systems includes designing sustainable solar farms and managing distributed energy resources such as heat pumps to enhance grid flexibility. He also leads a pioneering initiative to create the first statewide public IoT network in the U.S., enabling hyperlocal weather forecasting and microclimate monitoring. His recent publications reflect a strong trend toward agrivoltaics, peer-to-peer energy markets, and IoT-based environmental monitoring. These works demonstrate a consistent focus on data-driven modeling, community-scale energy solutions, and the integration of social considerations into technical systems. The keywords across his articles highlight expertise in sustainability, machine learning, air quality, and energy transition. Cornell Town-Gown Achievement Award (2022) Engaged Scholar Prize, Cornell University (2017) People's Choice Sign of Sustainability Award, Sustainable Tompkins (2016) Scientific and Technological Achievement Award, Environmental Protection Agency (2015) Fellow of the American Society of Mechanical Engineers Dr. Zhang is actively involved in mentoring students and securing research grants from agencies such as the National Science Foundation (NSF) and the New York State Energy Research and Development Authority (NYSERDA). His projects often involve interdisciplinary collaboration across eight Cornell colleges and 16 academic departments. He has led initiatives such as the Cornell Atkinson Academic Venture Fund projects and the development of a county-level energy roadmap for Tompkins County. He also teaches courses in engineering thermodynamics, future energy systems, and air quality, emphasizing experiential and community-based learning. Dr. Zhang leads the Energy and the Environment Research Laboratory (EERL) and collaborates with the Atkinson Center for a Sustainable Future. His lab functions as a hub for innovation in sustainable communities, combining advanced modeling with real-world applications. Through partnerships with community organizations, government agencies, and industry, his team develops science-driven solutions to urban and rural sustainability challenges.

• Aerosols, Air Quality and Climate Change
• Renewable Energy Integration
• Solar Farm Designs
• +11 more

Dr. Kyle Jamieson is a Professor of Computer Science at Princeton University, leading the Princeton Advanced Wireless Systems (PAWS) lab within the Department of Computer Science. He is also Affiliated Faculty in the Department of Electrical and Computer Engineering. His research focuses on wireless networking systems, 5G architecture, IoT networks, and quantum computing applications in wireless communication. He has pioneered work in reconfigurable intelligent surfaces, MIMO detection algorithms, and metamaterials for millimeter-wave networks. Dr. Jamieson has developed courses such as COS 597S: Recent Advances in Wireless Networks (graduate seminar), COS 463: Wireless Networks , and COS 418: Distributed Systems . His teaching emphasizes interdisciplinary approaches to networking challenges, including physical-layer design, computational structures for wireless processing, and cross-layer optimization. His lab’s research spans smart surfaces for 5G networks, quantum annealing for MIMO processing, and edge computing for live video analytics. Recent work includes deploying reconfigurable metamaterials for enhanced mmWave networks and developing tools like NR-Scope for 5G telemetry. While no awards are listed in the provided text, his contributions to wireless systems have advanced both academic and industrial applications in areas such as network resilience, IoT scalability, and quantum-enabled wireless processing. Dr. Jamieson’s advising focuses on graduate and undergraduate students working in wireless systems, though specific advisee names are not provided. His lab collaborates on projects like Wall-Street for roadside networking and Spider for multi-hop mmWave video analytics. External collaborations include work with Microsoft Research and guest lecturing roles at Berkeley. His research bridges theoretical foundations with practical implementations, often addressing real-world challenges in wireless infrastructure and next-generation communication systems.

• Wireless Networks
• 5G Technology
• Quantum Computing in Communications
• +3 more

Dr. Karim El-Basyouny is a Killam Laureate Professor and City of Edmonton Urban Traffic Safety Research Chair at the University of Alberta's Faculty of Engineering, where he serves as Associate Dean (Research Infrastructure and Innovation) in the Civil and Environmental Engineering Department. A licensed Professional Engineer in Alberta, he holds advanced degrees in Transportation Engineering from the University of British Columbia and has dedicated his career to advancing road safety through data-driven management frameworks. His academic credentials include: Doctor of Philosophy, Civil Engineering, University of British Columbia, 2011 Engineering Management Sub-specialization, Civil Engineering, University of British Columbia, 2010 Master of Applied Science, Civil Engineering, University of British Columbia, 2006 Bachelor's degree (ABET Equivalent), Civil & Environmental Engineering, United Arab Emirates University, 2003 El-Basyouny's research pioneers the integration of remote sensing, machine learning, and statistical modeling to enhance transportation safety. His work develops automated tools for infrastructure digitization, collision prediction, and speed management, treating safety as a systemic product requiring management frameworks. Key contributions include LiDAR-based road feature extraction, network-level safety evaluations, and frameworks for vision-zero outcomes that address both human-driven and autonomous vehicle contexts. His recent publications demonstrate a cohesive research trajectory centered on leveraging point cloud data and computational intelligence for safety management. Over 15 major publications since 2021 focus on automated infrastructure assessment (light pole detection, clear zone mapping, vertical clearance evaluation), weather-impact modeling, and enforcement resource optimization. This body of work bridges transportation engineering with computer vision and operations research to create scalable safety solutions. His scientific contributions have been recognized with prestigious honors including: 2024 Killam Annual Professorship Award 2024 Road Safety Achievement Award from TAC 2023 Donald Stanley Award for environmental engineering 2022 Faculty of Engineering Graduate Teaching Award 2021 Daniel B. Fambro Student Paper Award As an academic leader, El-Basyouny actively mentors graduate students and secures significant research funding through his endowed chair position. He currently recruits fully-funded PhD and postdoctoral candidates specializing in remote sensing applications, machine learning, and geomatics for road digitization projects. His research group collaborates with national safety committees and municipal agencies to translate findings into policy, while he serves on editorial boards for Transportation Research Record and Analytic Methods in Accident Research. The research group operates at the intersection of transportation engineering and computational science, developing automated frameworks that merge sensor technologies with data processing tools. Current projects focus on semantic segmentation of 3D point clouds, safety implications of infrastructure digitization, and machine learning applications for road feature extraction in both urban and rural environments.

• Transportation Engineering
• Road Safety
• Remote Sensing
• +5 more

Duminda Wijesekera serves as Professor in the Department of Cyber Security Engineering and Department of Computer Science at George Mason University, where he was inaugural chairman of the Cyber Security Engineering Department until December 2022. He concurrently held the position of visiting research scientist at the National Institute of Standards and Technology (NIST) from 2007-2022 and maintains status as a fellow at the Potomac Institute of Policy Studies. He leads the Mason Innovation Laboratory at Mason Square, driving translational research in cyber-physical security. His educational foundation includes: PhD in Computer Science, University of Minnesota (1997) PhD in Mathematical Logic, Cornell University (1990) BSc in Mathematics, University of Colombo Professor Wijesekera's research centers on cyber-physical system security , with pioneering work in Intelligent Transportation Systems spanning trains, aircraft, and connected vehicles. His digital forensics innovations establish frameworks for evidence-based scenario reconstruction and error management, while his formal methods research provides mathematical guarantees for safety-critical systems. Current projects address Next G-based edge services, digital twin vulnerability detection, and healthcare security architectures, consistently bridging theoretical rigor with real-world infrastructure protection. Analysis of his 2022-2025 publications reveals intense focus on autonomous vehicle security (38% of recent output), including traffic signal control optimization, ramming attack countermeasures, and CARLA-based scenario validation. Digital forensics using AI (20%) and secure manufacturing/edge computing (27%) constitute other major thrusts, demonstrating how formal verification and machine learning converge to solve complex cyber-physical security challenges across transportation, energy, and healthcare domains. His scientific recognition includes: CCI Impact Award (2022) for groundbreaking cyber-physical security contributions Fellowship at the Potomac Institute of Policy Studies for cybersecurity policy leadership Professor Wijesekera has secured substantial research funding through: NIST grants for health record security frameworks (2014-2015) US Department of Transportation projects on wireless frequency mapping for high-speed rail (2013-2014) Cyber Security Research Alliance funding for trust architectures in cyber-physical systems (2014) Commonwealth Cyber Initiative awards for autonomous vehicle security and energy-efficient manufacturing His industry partnerships with Honeywell and NIST ensure practical impact of theoretical research. The Mason Innovation Laboratory under his direction serves as an interdisciplinary hub for cyber-physical security, integrating researchers from computer science, electrical engineering, and policy studies to develop deployable solutions for transportation networks, power grids, and critical infrastructure protection.

• Cybersecurity
• Cyber-Physical Systems
• Digital Forensics
• +5 more

Yong-Bin Kang is a Senior Data Science Research Fellow at the ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) at Swinburne University of Technology, affiliated with the School of Social Sciences, Media, Film and Education. He holds a PhD in AI from Monash University and leads numerous transdisciplinary research projects applying artificial intelligence to address complex societal challenges. Education: PhD in Faculty of IT, Monash University, Australia Dr. Kang's research focuses on Responsible AI and Society, with specific interests in developing Societal-AI platforms that integrate social data with ethical principles. His work spans healthcare, humanitech, education, financial planning, environmental health, and justice domains. He investigates how AI can enhance decision-making processes while promoting societal well-being, with particular attention to ethical implementation and human-centered approaches. His expertise encompasses AI, natural language processing, machine learning, and decision-making optimization. Analysis of Dr. Kang's recent publications reveals a strong trajectory toward socially responsible AI applications across diverse domains. His work consistently bridges technical AI capabilities with social implications, particularly focusing on ethical frameworks, community-centered design, and addressing societal inequalities through technology. The publications demonstrate increasing collaboration across disciplines including criminology, environmental science, mental health, and education. Dr. Kang is actively involved in significant research funding initiatives, with multiple ongoing projects that address critical societal challenges through AI. His supervision availability includes Doctorate (PhD) candidates, indicating his commitment to mentoring the next generation of researchers in AI and data science fields. Current Flagship Areas: Digital Capability Innovative Society Manufacturing Futures Sustainable Development Goals: Good Health and Well Being (SDG 3) Industry, Innovation and Infrastructure (SDG 9) Affordable and Clean Energy (SDG 7)

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +4 more

Michael Turner is a Professor of Materials Chemistry and Director of the Organic Materials Innovation Centre (OMIC) at the University of Manchester's School of Chemistry. He holds a Chair in Materials Chemistry and leads the Knowledge Centre for Materials Chemistry (KCMC), a virtual interdisciplinary research hub. His research focuses on synthesizing conjugated molecules for applications in organic electronics, including transistors, LEDs, sensors, and solar cells. He coordinates the EPSRC-funded Organic Materials for Electronics Consortium (OME-C), involving collaborations across multiple institutions. Education: Bachelor's and PhD from the University of Bristol (organometallic chemistry with Prof. Selby Knox). Postdoctoral work in the U.S. with Prof. Harry Allcock on polyphosphazenes, followed by research at the University of Sheffield on Fischer-Tropsch reactions under Prof. Peter Maitlis. Research Interests: Synthesis of conjugated liquid crystals and polymers, organic electronics, electro-optical devices, and nanoscale fabrication. His work addresses challenges in energy, environment, and material synthesis through novel polymer architectures and functional nanoparticles. Key Projects: Principal Investigator for KCMC, advancing applied materials chemistry and knowledge transfer. Leading projects on CRISPR-Cas technology integration into organic electronics and roadside breath analysis of narcotics. Contributions to neuromorphic computing via printed electronics and bioelectronics networks. Awards: Royal Society University Research Fellowship (1993). Grants & Collaborations: Coordinates EPSRC consortia and collaborates internationally on polymer synthesis, sensor systems, and bio-inspired materials. His work aligns with UN Sustainable Development Goals, particularly energy and environmental innovation. Labs & Teams: Directs OMIC and KCMC, fostering interdisciplinary research in organic materials, device fabrication, and nanotechnology applications.

• Materials Chemistry
• Organic Electronics
• Conjugated Polymers
• +5 more

Susan Dudley is a Professor in the Department of Biology at McMaster University, where she has established herself as a leading researcher in plant ecology and physiology. Her work spans multiple areas including plant-plant interactions, kin recognition mechanisms in plants, and pollinator ecology, with significant contributions to understanding how plants interact with their environment and with each other. Ph.D. in Ecology and Evolution from University of Chicago (1991) M.Sc. in Biology from McGill University (1984) B.Sc. in Biology from McGill University (1981) Dr. Dudley's research primarily focuses on plant social behavior, particularly kin recognition and cooperation among plants. Her groundbreaking work has demonstrated that plants can recognize their relatives and modify their growth patterns accordingly, challenging traditional views of plant behavior. She also investigates pollinator ecology, with recent research on wild bees including the unusual case of snail shell-nesting bees. Her interdisciplinary approach combines field observations, controlled experiments, and molecular techniques to address fundamental questions in plant ecology. Her publication record shows consistent productivity with a focus on plant social interactions over the past 15 years. The research trends reveal an evolution from basic studies on kin recognition mechanisms to applications in conservation biology and sustainable agriculture. Her recent work connects plant social behavior with broader ecological concerns including invasive species management, pollinator conservation, and forest ecosystem dynamics. As an educator, Dr. Dudley teaches Ecological Statistics (BIOLOGY 707), Applied Statistics for Biology (BIOLOGY 3SA3), Field Methods in Ecology (BIOLOGY 3JJ3), and Plant Biodiversity and Biotechnology (BIOLOGY 2D03). Her teaching spans both undergraduate and graduate levels, emphasizing practical field and statistical skills essential for modern ecological research. Her research has received significant attention in both academic and public spheres, with multiple publications picked up by news outlets, referenced in Wikipedia pages, and shared across social media platforms. The collaborative nature of her work is evident from her co-author network, which includes researchers across various biological disciplines.

• Plant Ecology
• Plant Physiology
• Kin Recognition in Plants
• +4 more

Associate Professor Margaret Grose is an academic at the University of Melbourne's Melbourne School of Design, specialising in Landscape Architecture. She holds an Associate Professorship and teaches ecological design principles in the Masters of Landscape Architecture and Bachelor of Environments programs. Her work bridges design and ecological science, with a focus on urban ecosystems, water management, and cultural landscapes. Education: Grose began in Agricultural Science (soils/water processes), completed a PhD in ecophysiology of Australian plants, followed by postdoctoral research at Oxford University and the University of Cambridge’s Mathematical Biology group. She later trained in Landscape Architecture and practiced as an environmental scientist in urban design projects. Research interests include integrating ecological science into design, the role of historical ecological knowledge in contemporary design, and urban water systems. Her recent Universitas 21 Fellowship explores teaching ecology to built environment students globally. Publications span topics like urban forestry in China, dryland river parks, and impacts of artificial light on ecosystems. She has received the 2011 Faculty Teaching Award for Excellence in the Masters program. Supervision focuses on river design, urban waterways, ecological planting resilience, and design of public spaces in Mediterranean climates. She collaborates on interdisciplinary projects combining ecology, urban planning, and cultural heritage.

• Ecological Design
• Urban Ecology
• Sustainable Landscapes
• +4 more

Albert Treytl is a Senior Researcher at the Danube University Krems , serving as Head of the Center for Distributed Systems and Sensor Networks and Deputy Head of the Department for Integrated Sensor Systems. He holds a Master’s degree in Electrical Engineering from the Vienna University of Technology (2001) and has over two decades of experience in communication technologies and security. Current roles: Head of Center, Deputy Head of Department Research focus: Security for embedded systems, IoT, digital twins, AI in energy optimization Involvement: IEEE, CEN TC 247 WG4, IEEE1588 standardization His work addresses distributed data management, smart grid security, and model predictive control strategies for energy efficiency in buildings and traffic systems. He leads multiple national and international projects funded by FFG and EU programs. Recent research projects include KI4HVACS (AI-driven HVAC optimization), Factories4Renewables (industrial renewable energy integration), and Dataskop (sensor-based data economy). He has authored over 100 peer-reviewed publications and serves as co-lecturer at the Vienna University of Technology.

• Communication Technologies
• Security
• Distributed Systems
• +4 more

Thomas Ertl is a Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), leading the Institute of Sanitary Engineering and Water Pollution Control. His research focuses on urban water systems, emphasizing sustainable drainage, climate change adaptation, and nature-based solutions. He has coordinated 55 projects, including international initiatives in Albania and Austria, addressing stormwater management, wastewater heat recovery, and sewer infrastructure resilience. Key Projects : Analysing re-activated watercourses for urban resilience (2024–2028) Resilient rainwater management in Austria (2024–2028) Assessing pollutant emissions in Albania (2024–2027) Research Themes : Building Information Modeling (BIM) in wastewater systems Uncertainty analysis under climate change Stormwater pollution and heat island mitigation Awards : 2018: Goldene Ehrennadel des ÖWAV 1993: Best student award at AGIT 93 His recent publications highlight multidisciplinary approaches to wastewater energy recovery, spatial compatibility of nature-based solutions, and prioritization of stormwater management sites. He has supervised numerous theses and contributed to media discussions on urban climate resilience, including articles in Austrian outlets like futurezone.at and Der Kurier.

• Environmental Engineering
• Water Resource Management
• Urban Hydrology
• +3 more

Professor Nigel Dunnett is a distinguished academic at the University of Sheffield, serving as Professor of Planting Design and Vegetation Technology within the School of Architecture and Landscape. His work bridges horticulture and ecology with a focus on creating sustainable, nature-rich urban environments. He directs The Green Roof Centre at the University of Sheffield and has held various academic positions since 1994, progressing from Lecturer to Senior Lecturer, and then to Reader in Urban Horticulture before becoming a Professor. His educational background includes: B.Sc in Botany from the University of Bristol (1981-1984) M.Sc in Landscape Ecology, Design and Maintenance from Wye College, University of London (1985-1986) Garden Club of America Interchange Fellowship in Horticulture at North Carolina State University (1989-1990) PhD in long-term dynamics of herbaceous vegetation in roadside verges from the University of Sheffield (1991-1996) Nigel Dunnett's research is strongly interdisciplinary, focusing on the intersection of ecology, design, and horticulture in urban green spaces. He has pioneered the "Sheffield School" of planting design, which applies ecological principles to urban landscapes to create low-input, dynamic, and visually appealing vegetation. His work emphasizes sustainable planting techniques that thrive in challenging urban conditions while supporting biodiversity and public enjoyment. He has developed innovative concepts like "Pictorial Meadows" and mixed shrub-herbaceous plantings that require minimal maintenance but provide year-round visual interest. His publication record demonstrates a consistent focus on urban ecology, green infrastructure, and sustainable landscape design. The research shows a clear progression from foundational ecological studies toward practical applications in urban settings, particularly in green roofs, rain gardens, and urban meadows. His work increasingly addresses climate change adaptation through vegetation solutions, with a strong emphasis on balancing ecological function with aesthetic appeal to ensure public acceptance of sustainable landscape approaches. His notable professional recognition includes: Garden Club of America Interchange Fellowship in Horticulture Professor Dunnett has secured significant research funding, including a £1.2 million EU Marie-Curie Industry Academia project on "Green Roof Systems" (2009-2013), an £820,000 EU Objective 1 "Green Roof Infrastructure Development Programme" (2006-2009), and an EPSRC Proof of Concept Fund grant of £825,000 (2010). He has supervised numerous PhD and early-career researchers, particularly in green roof research, and has collaborated extensively with industry partners like ZinCo GmbH. His practical work extends beyond academia through high-profile design projects including the London 2012 Olympic Park, The Barbican Roof Garden in London, and various Chelsea Flower Show displays. As Director of The Green Roof Centre at the University of Sheffield, Dunnett leads what has become the UK's main center for multi-disciplinary green roof research. His team conducts extensive plant screening programs and investigates long-term vegetation dynamics on green roofs. The Centre works closely with industry partners to develop new vegetation systems that address climate change challenges, combining academic research with practical application to advance sustainable urban design worldwide.

• Planting design
• Urban ecology
• Landscape ecology
• +7 more

Greg J. Evans is a full Professor in the Faculty of Applied Science and Engineering at the University of Toronto , where he also serves as Director of the Southern Ontario Centre for Atmospheric Aerosol Research (SOCAAR) and the Institute for Studies in Transdisciplinary Engineering Education and Practice (ISTEP) . In addition, he is Principal Investigator of the Evans Research Group . Education: B.A.Sc. – Bachelor of Applied Science M.A.Sc. – Master of Applied Science Ph.D. – Doctor of Philosophy P.Eng. – Professional Engineer FCAE – Fellow of the Canadian Academy of Engineering FAAAS – Fellow of the American Association for the Advancement of Science Research Interests: Professor Evans leads interdisciplinary research that bridges atmospheric aerosol science, environmental health, and engineering education. His work in urban air pollution focuses on understanding traffic-related emissions, developing low-cost sensor networks, and elucidating the oxidative toxicity of particulate matter under climate change scenarios. Within engineering education, he investigates transdisciplinary competencies, metacognitive development, and evidence-based pedagogies that prepare students for lifelong learning and societal impact. Research Trends in Recent Publications: Across his 2021-2023 publications, a dominant theme is the health impact of fine particulate matter (PM2.5) and its oxidative potential. Studies integrate large-scale epidemiological datasets with detailed chemical analyses to reveal how specific PM constituents—such as transition metals and sulfur—mediate cardiovascular and respiratory outcomes. Methodological innovations include mobile “lab-on-wheels” platforms and harmonized acellular assays for oxidative potential, enabling high-resolution spatiotemporal exposure assessment and cross-study comparability. Scientific Awards & Honors: CIC Environment Division Research and Development Dima Award (2022) NSERC Brockhouse Canada Prize for Interdisciplinary Research (2021) Fellow of the Canadian Engineering Education Association (2020) 3M National Teaching Fellowship (2017) Faculty of Applied Science & Engineering Research Leadership Award (2017) President’s Teaching Academy, University of Toronto (2015) Fellow of the Canadian Academy of Engineering (2015) Ontario Colleges and Universities Faculty Association Teaching Award (2015) Fellow of the American Association for the Advancement of Science (2015) Allan Blizzard Award (STLHE) (2014) Northrop Frye Award (2013) ASEE St. Lawrence Section Outstanding Teaching Award (2010) Engineers Canada Medal for Distinction in Engineering Education (2010) Ontario Professional Engineers Award – R&D Medal (2009) Joan E. Foley Student Quality of Student Experience Award (2008) Graduate Advising & Funding: Professor Evans is currently potentially accepting both PhD and MASc students. His research grants support interdisciplinary projects ranging from mobile air-quality monitoring campaigns to large-scale educational data-mining initiatives. Labs & Teams: He directs the Evans Research Group , housed within SOCAAR, which operates the MAPLE “lab-on-wheels” for real-time aerosol characterization. Through ISTEP, he oversees a cohort of 11 faculty members advancing engineering education scholarship.

• Urban Air Pollution
• Traffic-Related Air Pollutants
• Air Pollutant Toxicity
• +14 more

Max Zhang is the Irving Porter Church Professor at Cornell University's Sibley School of Mechanical and Aerospace Engineering, with joint affiliation to the Cornell Atkinson Center for Sustainability. His research focuses on energy-environment interactions, renewable energy systems, and IoT applications for sustainable development. His educational background includes: B.S. in Thermal Engineering, Tianjin University (1998) B.A. in English Language, Tianjin University (1998) Ph.D. in Mechanical Engineering, University of California-Davis (2004) Dr. Zhang leads research in: Air pollution modeling using the CTAG framework Sustainable solar farm design integrating energy/ecosystem dynamics Distributed energy resource management Development of statewide IoT networks for environmental monitoring Community-engaged solutions for food security and STEM education His recent publications (2023) demonstrate strong focus on renewable energy optimization, air quality improvement, and sustainable infrastructure design through computational modeling and experimental validation. Significant honors include: Cornell Town-Gown Achievement Award (2022) EPA Scientific Achievement Award (2015) Engaged Scholar Prize (2017) He directs the Energy and Environment Research Lab (EERL) and has secured major grants from NSF and NYSERDA for projects including agrivoltaic system development and hyperlocal weather forecasting systems for rural communities.

• Renewable Energy Systems
• Air Pollution Mitigation
• Sustainable Solar Farms
• +4 more

Cristina Estima Ramalho is a Lecturer at the School of Agriculture and Environment , University of Western Australia. Her work focuses on social-ecological systems, cross-cultural ecology, and urban biodiversity conservation. She has led projects such as the Noongar Water Knowledge initiative, collaborating with Indigenous communities and governmental agencies. Education: PhD in Ecology (2009–2012) MSc in Geographic Information Systems (2002–2004) Biology Honours (1996–2002) Her research interests include aligning Western and First Nations knowledge systems, urban greening strategies, and ecological restoration linked to reconciliation efforts. Recent studies highlight relationships between urban forests and residents’ place attachment, as well as barriers to urban biodiversity conservation. Current projects involve interdisciplinary collaborations on urban sustainability, with funding from NESP, UWA, and state agencies. She supervises PhD/MSc students exploring topics like Indigenous fire management and human-raptor coexistence. Grants & Projects: "Noongar Water Knowledge in the Djarlgarro Beeliar catchment" (2020–2023) Rufford Foundation Support for promoting human-raptor coexistence (2023) She teaches courses on environmental management, ecological processes, and urban landscape design. Languages include English, Portuguese, Spanish, and Nyoongar (basic).

• Social-Ecological Research
• Cross-Cultural Ecology
• Urban Ecology
• +5 more

Professor Patrick Rinke leads the Chair of AI-based Materials Science at the Technical University of Munich (TUM), within the TUM School of Natural Sciences and Department of Physics. His research group develops advanced electronic structure and machine learning methods to address critical challenges in materials science, surface science, physics, chemistry, and nanoscience. Professor Rinke's research spans multiple cutting-edge domains including electronic structure theory development, machine learning applications for materials science, data-driven materials discovery, biomaterials engineering, atmospheric science applications, clean energy materials, and hybrid materials systems. His work integrates advanced computational methods with practical applications across diverse scientific fields, particularly focusing on how artificial intelligence can transform traditional materials research. Analyzing his recent publications reveals strong trends in applying machine learning techniques to materials discovery, with particular emphasis on Bayesian optimization methods, active learning approaches for molecular data, and efficient dataset generation strategies. His research spans from fundamental electronic structure theory to practical applications in biomaterials, atmospheric science, and renewable energy technologies. Professor Rinke has received several prestigious awards including the August-Wilhelm Scheer visiting professorship (2017), a German Science Foundation research scholarship (2007), the Outstanding Postdoctoral Research Achievement Award from UC Santa Barbara (2009), recognition as an Outstanding Referee for Physical Review journals (2014), and the Institute of Physics Computational Physics Group Thesis Prize (2003). Professor Rinke actively contributes to the academic community through teaching and supervision. For the Winter term 2025/26, he is teaching courses including Academic Writing Skills, Introduction to Machine Learning for Materials Science, Current Topics in AI-Based Materials Science, and Machine Learning for Natural Sciences. His research group includes several team members working on diverse projects spanning the intersection of AI and materials science.

• Electronic Structure Theory
• Machine Learning in Materials Science
• Data Driven Materials Science
• +6 more