Armando J. D. Silvestre is a Full Professor at the Department of Chemistry, University of Aveiro. He holds academic degrees including a Licenciatura in Chemistry (1990), PhD in Chemistry (1994), and Agregação in Chemistry (2008) from the University of Aveiro. His research focuses on renewable materials, circular economy, and functional biomaterials. Research interests include: Development of biopolymer-based functional materials Valorization of biological residues for value-added chemicals Novel polymeric materials from renewable resources Sustainable nanocomposites and coatings Professor Silvestre has supervised 18 MSc and 11 PhD students to completion and currently mentors 3 PhD and 3 MSc candidates. Research projects include EU-funded initiatives like AFORE (Forest Biorefineries) and national projects on membrane technology and biomass valorization. Scientific contributions include over 180 SCI journal publications and patents on extraction methods. He serves on editorial boards for Industrial Crops and Products and actively participates in academic activities including Erasmus coordination and Bologna process implementation.
Elham Ramin is a Researcher at the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), affiliated with the Center for Energy Resources Engineering (CERE) and the Process and Systems Engineering Centre (PROSYS). Her work contributes to multiple UN Sustainable Development Goals, particularly in clean water and sanitation, affordable and clean energy, and industry innovation. Dr. Ramin completed her PhD at DTU (2010-2014) with research focused on modeling water quality in sewer-WWTP systems. Her academic journey demonstrates a strong foundation in environmental process engineering with applications to real-world water treatment challenges. Her research interests span wastewater treatment optimization, Power-to-X applications for water resource recovery, industrial symbiosis in water management, and biomanufacturing process modeling. She specializes in computational fluid dynamics, activated sludge modeling, and one-dimensional simulation models for wastewater treatment plants. Her work bridges environmental engineering with sustainable resource management, focusing on practical solutions for water-energy nexus challenges. Analysis of her recent publications reveals a strong trend toward integrating sustainable energy solutions with water treatment processes, particularly Power-to-X technologies. Her research portfolio shows increasing focus on digitalization of water resource recovery facilities and cross-sectoral industrial symbiosis for optimal resource utilization. The work demonstrates strong interdisciplinary connections between environmental engineering, chemical process modeling, and sustainable development. Dr. Ramin has participated in significant research projects including ERASE (Evaluation of Resource recovery Alternatives in South African water) and GECKO (Green and Circular Innovation for Kenyan Companies), demonstrating international collaboration and application of research to diverse water management contexts. Her work has generated substantial academic interest with multiple publications receiving significant downloads and reader engagement on platforms like Mendeley. She is actively involved with research centers including CERE and PROSYS at DTU, contributing to interdisciplinary teams focused on energy resource engineering and process systems optimization. Her collaborations extend to pharmaceutical industry applications, particularly in vaccine manufacturing development and digital twin implementation for bioprocesses.
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.
Professor Muttucumaru Sivakumar is a faculty member at the University of Wollongong (UOW), holding the rank of Professor and serving as Academic Program Director for Environmental Engineering (ENVE) within the School of Civil, Mining, Environmental and Architectural Engineering. He has been with UOW since 1984, progressing through roles such as Lecturer, Senior Lecturer, and Associate Professor before becoming a full Professor in 2025. His academic career includes visiting positions at institutions worldwide, including the University of Minnesota, University of Heidelberg, and Indian Institutes of Technology. Education: He earned a BSc Eng from the University of Peradeniya (Sri Lanka, 1970–1974), an MEng from the Asian Institute of Technology (Thailand, 1976), and a PhD from the University of Newcastle (Australia, 1977–1981). Research Interests: His work focuses on water quality modeling of coastal reservoirs, sediment transport, membrane distillation for wastewater treatment, and environmental hydraulics. Current projects include coastal reservoir development for Jakarta, solar-powered desalination, and wastewater-based epidemiology for pathogen monitoring. Grants: Key funding includes the KONEKSI grant for Jakarta’s coastal reservoir development (2023–2024) and internal grants for geopolymer research and anaerobic co-digestion. He also secured equipment grants for nanopore sequencing platforms and low-vacuum electron microscopy. Advising & Students: He has supervised over 15 HDR completions since 1990, including notable PhD graduates such as San Rathviboon (2011) and Debashis Raha (2006). Current students focus on topics like methane control in wastewater systems and coastal reservoir sediment transport. Labs & Teams: His research groups collaborate on interdisciplinary projects involving water resource management, environmental engineering, and sustainable infrastructure development. He leads initiatives in the International Association for Coastal Reservoir Research (IACRR).
Dr. Iñaki Esnaola is a Senior Lecturer at the Department of Automatic Control and Systems Engineering, University of Sheffield, and a Visiting Research Collaborator at Princeton University. He holds a MSc from the University of Navarra (2006) and a PhD from the University of Delaware (2011). His research focuses on information theory, machine learning, and cybersecurity, particularly in cyberphysical systems like smart grids. His work addresses data integrity, privacy, robust estimation, and optimal sensor placement. Research interests include: Information theory and data science, machine learning and high-dimensional statistics, cybersecurity (especially data injection attacks), privacy, robust estimation, and sensor placement optimization. Recent projects involve empirical risk minimization with regularization, stealth attacks on control systems, and compressive sensing for environmental monitoring. Key publications include studies on relative entropy in machine learning, sensor placement for sewer networks, and stealth attacks in smart grids. He leads a research group with ongoing projects in resilient cyberphysical systems and received a UKRI grant for advanced manufacturing. His work bridges theoretical foundations with real-world applications in energy systems and environmental monitoring.
Dr Sean Anderson is a Senior Lecturer at the Department of Automatic Control and Systems Engineering , University of Sheffield , with over 15 years of experience in interdisciplinary research spanning robotics, control systems, and computational biology. He earned his MEng and PhD from the University of Sheffield, focusing on control systems and chemical engineering. Education: MEng in Control Systems Engineering, University of Sheffield (2001) PhD in Chemical and Process Engineering, University of Sheffield (2005) Research Interests include: Bioinspired robotics Adaptive and optimal control in biological systems Nonlinear system identification Computational neuroscience Acoustic and visual sensor fusion for localization His recent publications highlight innovations in robotic localization in hazardous environments, interpretable deep learning for control systems, acoustic sensing technologies, and data-driven modeling of complex systems. Key projects involve autonomous navigation in pipe networks, turbulence modeling, and biomedical signal processing. Grants and Funding: He has secured major grants from EU H2020 (£4M), EU FP7 (£2.9M), and EPSRC (£5.7M), focusing on bioinspired control algorithms, robotic safety, and infrastructure assessment. Teaching: He leads the ACS61011 Deep Learning module, emphasizing practical applications in robotics and signal processing.
Timothy Cootes is a Research Professor at the University of Manchester's Division of Informatics, Imaging & Data Sciences. He holds an MSc teaching role in Mathematical Methods and has led projects like BoneFinder and ASPIRE™. His research focuses on statistical models for medical image analysis, facial interpretation, and musculoskeletal disease diagnosis. Education: Bachelor's in Maths and Physics from Exeter University PhD in Civil Engineering (storm sewer overflow) from Sheffield City Polytechnic Research Interests: Statistical shape/appearance models for medical imaging Machine learning applications in osteoporosis/osteoarthritis analysis Facial feature tracking and recognition systems Groupwise image registration techniques Awards: 2015 ISBI Grand Challenges Prize 2010 IAPR Fellowship 2023 Highly Commended Oral Presentation Collaborations: Dr. Paul Bromiley (medical imaging) Dr. Claudia Linder (musculoskeletal projects) Dr. Adrian Davison (facial recognition) Key Impacts: Developed Active Appearance Models (AAMs) for facial recognition Co-created BoneFinder automated bone analysis software Contributed to global osteoarthritis risk assessment frameworks
Dr. Nihar Biswas is a Distinguished Professor in the Department of Civil and Environmental Engineering at the University of Windsor. His research focuses on enzymatic wastewater treatment, hazardous waste management, and sustainable infrastructure. He holds a PhD from the University of Ottawa and has contributed to over 100 publications. Dr. Biswas is a Fellow of the Canadian Society for Civil Engineering and recipient of the Albert E. Berry Medal for outstanding contributions to environmental engineering. Education: PhD, University of Ottawa MASc (Master of Applied Science) B.Eng, University of Calcutta Research Interests: Enzymatic treatment of industrial wastewater Water quality and drinking water disinfection Hazardous waste treatment technologies Water and wastewater management in developing countries Bioremediation of pharmaceutical contaminants Professional Roles: Co-editor, Canadian Journal of Civil Engineering Member of multiple international advisory panels (WHO/PAHO, NSERC) Invited speaker at institutions globally, including China and Mexico Grants & Collaborations: NSERC/URIF/ICST-funded enzymatic wastewater treatment projects Pilot plant development in Mexico for industrial refinery wastewater Industry partnerships in advanced oxidation processes Labs & Projects: Pioneer in soybean peroxidase-catalyzed wastewater treatment Research on stormwater infrastructure resilience Development of retention treatment basins for combined sewer overflows
Dr. Justina Jose is an Assistant Professor at the School of Public Affairs, San Diego State University (SDSU), part of the College of Professional Studies and Fine Arts. Her work focuses on public financial management, particularly public debt management and infrastructure financing. She holds a PhD in Public Policy from Georgia State University, an M.Sc. in Economics from Symbiosis International University (India), and a BA in Economics from Stella Maris College (India). Dr. Jose's research examines tools states use to oversee local government finances and their impact on fiscal outcomes. She has studied water-sewer infrastructure financing and climate-resilient projects, collaborating with Atlanta and Georgia policymakers. Her work appears in journals like Journal of Public Budgeting, Accounting and Financial Management and Environment and Urbanization Asia . She actively participates in conferences such as the Association for Budgeting and Financial Management (ABFM) and APPAM. Her research trends emphasize fiscal policy in crises, intergovernmental debt oversight, and infrastructure funding. She has analyzed municipal debt markets, broadband deployment impacts, and pandemic responses in India. Dr. Jose’s projects bridge academic research with practical policy advice, aiming to enhance fiscal accountability and sustainable development.
Professor Alex Klein-Paste is affiliated with NTNU's Department of Civil and Environmental Engineering, focusing on winter operations of roads and airports. His research emphasizes snow and ice engineering, anti-icing strategies, and friction dynamics. He leads the NTNU SnowLab, a specialized facility supporting education and research in snow engineering. Klein-Paste teaches courses on road planning, maintenance in cold climates, and infrastructure management. His research spans experimental studies on de-icing chemicals, snow compaction, and winter maintenance optimization. Key contributions include developing regression models for maintenance efforts and analyzing cross-country ski friction mechanics. He collaborates widely, with recent work addressing automated vehicle infrastructure needs and bicycle rolling resistance in winter conditions. Labs/Teams: Director of NTNU SnowLab, part of the roads, railways, and transport research group. His work bridges experimental engineering and real-world applications, influencing both academic and industrial sectors.
Nikolaus Müllner is a researcher at the Institute of Safety and Risk Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work centers on nuclear safety, reactor technology, risk assessment, and thermal-hydraulic modeling, particularly for VVER-type reactors. He actively contributes to international nuclear safety discourse through conferences and peer review. His research interests include nuclear reactor safety, severe accident analysis, licensing of small modular reactors, best estimate plus uncertainty (BEPU) methods, and environmental impact assessments in nuclear contexts. He applies simulation tools like RELAP5, MELCOR, and SCDAPSIM to analyze accident scenarios and validate safety systems. His expertise spans both technical and policy aspects of nuclear energy. Müllner has delivered numerous lectures at international conferences such as NURETH, ICONE, and IAEA events, focusing on topics like core damage frequency, station blackout scenarios, and aging management. His recent publications reflect a trend toward integrating technical safety analysis with regulatory and societal considerations, particularly in European contexts. He has served as a reviewer for journals including Energy Strategy Reviews , Progress in Nuclear Energy , and International Journal of Disaster Risk Reduction , contributing to the scientific quality of research in energy and risk domains. Supervision and Community Engagement: Supervised master’s theses on topics such as small modular reactor safety, RELAP5 modeling, and environmental aspects of nuclear licensing. Active in international research networks like INRAG (International Nuclear Risk Assessment Group). Engaged in public knowledge transfer through lectures and media contributions on nuclear policy and safety. Laboratories and Research Groups: While not explicitly tied to a specific lab, his work is closely associated with nuclear simulation and risk assessment frameworks, likely involving collaboration with experimental facilities such as the PSB-VVER test facility. His research is conducted within the interdisciplinary environment of BOKU’s Safety and Risk Sciences department.
Michael Bach is a Professor for Water Management and Hydraulic Engineering at Stuttgart University of Applied Sciences since 2019. He also serves as the International Relations Officer (Auslandsbeauftragter) of the institution. His work focuses on integrated approaches to water resources management and modeling. Professor Bach's educational background includes: Civil Engineering studies at TU Darmstadt (Diplom-Ingenieur) Master's work at KTH Stockholm, Sweden Doctorate (Dr.-Ing.) from TU Darmstadt in 2010 His research interests span Water Management , Hydraulic Engineering , and Integrated Catchment Modeling . Professor Bach has developed software tools like BlueM.Wave for time series management and analysis, and BlueM.Sim for integrated river basin simulation. His work addresses critical challenges in urban wastewater systems, water quality modeling, and flood risk management, with applications both in Germany and internationally, including projects in Thailand. An analysis of his publication record reveals a strong focus on integrated modeling approaches for water systems, particularly for complex land use areas and urban environments. His work with the BlueM software package represents a significant contribution to the field, providing free tools for integrated river basin management. Many of his publications address the implementation of the EU Water Framework Directive and explore energy optimization within water management systems. Professor Bach has led numerous research projects since 2004, including ENERWA (energy optimization of water management systems), TASK (reservoir adaptation strategies for climate change), and IMCOP (integrated modeling of runoff and substance flows). He has collaborated extensively with academic and professional institutions, contributing to guidelines like the HSGSim for integrated urban wastewater system modeling. At Stuttgart University of Applied Sciences, Professor Bach is associated with the Kompetenzzentrum "Neue Forschungsfelder" (New Research Fields), where he contributes to advancing water management research and education.
Dr. Sven Mackenbach serves as a Postdoctoral Researcher and Senior Engineer at RWTH Aachen University's Institute of Construction Management, Digital Engineering and Robotics in Construction (ICoM) since January 2023. Holding a doctorate in circular construction from the same institution, he leads the development of the "Circular Construction" research area, oversees multidisciplinary projects, and teaches Sustainable Construction Management to engineering students. His academic credentials include: PhD in Circular Construction, RWTH Aachen University (2023) Mackenbach's research integrates circular economy principles with digital construction technologies, focusing on strategic management frameworks for sustainable building practices. His expertise spans modular construction methods, BIM-based sustainability assessment, and digital twinning applications for infrastructure management. He bridges theoretical research with practical implementation through sustainability consulting for construction stakeholders, addressing real-world challenges in resource efficiency and regulatory compliance. His publication portfolio reveals a decisive shift toward data-driven circular construction solutions, with increasing emphasis on BIM-ontology integration for deconstruction planning, public participation systems, and sewer infrastructure management. Recent works demonstrate sophisticated methodological approaches to quantify ecological, economic, and social sustainability metrics without specialized expertise. As a scientific supervisor, Mackenbach mentors research assistants in project execution while contributing to curriculum development through his specialized course instruction. His leadership in research project coordination indicates substantial grant management experience, though specific funding sources aren't detailed in available materials. Within ICoM's collaborative environment, he contributes to cross-disciplinary teams advancing digital engineering and robotics applications in construction, particularly through the KaSyTwin sewer management project and BIPV facade digitalization initiatives.
Arturo S. Leon is an Associate Professor at the Department of Civil and Environmental Engineering, Florida International University (FIU). His work focuses on water resources engineering, reservoir optimization, multi-phase flows, and resilient flood control. He leads a research group developing innovative solutions for urban infrastructure challenges, including real-time control systems for reservoirs and stormwater management. Education: Ph.D., University of Illinois at Urbana-Champaign, 2007. Research Interests: Dr. Leon’s group pioneers computational models for hydraulic systems, such as the Illinois Transient Model. They investigate geysers in storm sewers via experimental and numerical methods, achieving landmark results with lab-replicated 30m geysers. Their work also includes IoT-enabled remote control of wetland storage systems for flood mitigation, as seen in the Automated and Remotely Controlled 6″ Siphon project. They integrate machine learning for flood forecasting and sewer overflow optimization, highlighted in frameworks like FIDLAR and EcoFLow. Awards: EPA Early CAREER Award Diplomate by the American Academy of Water Resources Engineers (D.WRE) Advancing Flood Resilience: His group’s dynamic storage management approach retrofits wetlands and detention ponds with IoT-controlled systems. They also study climate-driven urban hydrology, such as thermal comfort in tropical cities like Miami. Their patented technologies, including remote siphon control frameworks, enhance infrastructure adaptability during extreme weather events. Labs & Projects: Active in the Resilient MAST@FIU initiative and the EcoFlow project, focusing on green infrastructure for sustainable water use. Ongoing work includes AI-driven flood hazard mapping and exergo-economic optimization of energy systems.
Prof. Dr.-Ing. Ruben-Laurids Lange is a faculty member at the Westfälische Hochschule Gelsenkirchen, where he holds the Professorship for Water Technologies in Supply and Disposal within the Faculty of Mechanical Engineering, Environmental and Building Technology. His work bridges academic teaching and applied research in municipal water systems, with strong ties to practical engineering through prior industry experience at Emschergenossenschaft and Dahlem Beratende Ingenieure. Bachelor in Civil Engineering, Bergische Universität Wuppertal (2006) Doctorate in Engineering (Dr.-Ing.), Ruhr-Universität Bochum (2013) His research focuses on sanitary engineering, wastewater treatment, and urban water management , with particular expertise in micropollutant removal, membrane technologies, sediment dynamics in sewers, and hydraulic design of water systems. He investigates advanced treatment methods such as powdered activated carbon dosing and ultrafiltration, often in combination, to improve water quality and sustainability. His work contributes to optimizing cleaning intervals, minimizing environmental impact, and adapting infrastructure to climate change. The 15 most recent publications highlight a consistent focus on micropollutant and pharmaceutical removal , especially through adsorption and membrane-based processes . Key themes include the integration of powdered activated carbon with ultrafiltration, phosphate precipitation effects on greenhouse gases, sediment transport in real wastewater systems, and fourth-stage wastewater treatment. The research spans experimental studies, technical comparisons, and field applications, primarily targeting municipal wastewater treatment plants and urban drainage systems. No scientific awards or fellowships are mentioned in the provided text. Prof. Lange teaches core undergraduate courses in Sanitary Technology, Wastewater Engineering, and Water Treatment , covering topics such as drinking water installation design, DIN standards, fire protection, rainwater utilization, biological and chemical wastewater treatment, sludge processing, and membrane technology. He supervises various internships in water and biomass energy systems. While no formal students or advising roles are listed, his leadership in teaching and applied research suggests an active mentoring role. There is no mention of research grants or funding sources. His research is closely aligned with practical applications in municipal water infrastructure, particularly through collaborations with water management associations like Emschergenossenschaft and Lippeverband. While no formal lab or research team is explicitly named, his work involves experimental sewer systems and pilot-scale treatment studies, indicating hands-on research facilities likely integrated within the university’s engineering programs.
