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Yixing SuiView profile

Senior Lecturer

• Biotechnology
• Microbial Physiology
• Environmental Engineering
• +3 more

Dr Yixing Sui is a Senior Lecturer in Biotechnology at the School of Science, part of the Faculty of Engineering and Science at the University of Greenwich. He joined as a Research Fellow in Algal Biotechnology in 2019, became a Lecturer in 2023, and was promoted to Senior Lecturer in 2024. His research focuses on leveraging microalgae, particularly Dunaliella species, for nutritional protein production, bioproduct optimization, and sustainable resource recovery from wastewater. He holds a PhD in Bioscience Engineering from the University of Antwerp (201?), an MSc in Environmental Sciences from Wageningen University (2013), and a BEng in Environmental Engineering from Tianjin Chengjian University (2011). His work integrates environmental engineering, microbial physiology, and bioprocess optimization to address challenges in food security and circular economy. Dr Sui’s research interests include: Algal-based protein production for food and feed Wastewater-to-biomass conversion Light regime optimization for microalgal bioproducts Life cycle assessment of algal cultivation systems His recent publications (2019–2025) highlight advancements in: Co-production of protein and carotenoids in Dunaliella Light wavelength and intensity effects on biomass quality Wastewater utilization challenges and solutions Seaweed protein extraction technologies Dr Sui has no listed awards but has contributed to multiple interdisciplinary projects at the University of Greenwich. His advising and grant activities remain unspecified in available texts. He is affiliated with the Algal Biotechnology research group and collaborates with institutions globally, including the Netherlands Institute of Ecology (NIOO-KNAW).

Ronald D. HaynesView profile

Professor

• Numerical Analysis
• Partial Differential Equations
• Optimization Algorithms
• +2 more

Ronald D. Haynes is a Full Professor and Chair of Scientific Computing Graduate Programs in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He leads research in numerical methods for PDEs and industrial-scale optimization problems. His work develops advanced domain decomposition techniques, adaptive mesh methods, and parallel computing approaches for solving complex physical systems. Applications include modeling pitting corrosion of materials, predicting rock strength for drilling optimization, and simulating multiphase fluid flows in porous media. Recent publications demonstrate innovations in mesh adaptation, parallel algorithms, and machine learning applications for industrial problems. Collaborative projects have addressed reservoir simulation, drill bit analysis, and corrosion prediction through integrated computational approaches. Professor Haynes has received the President's Award for Outstanding Research (2018) and Dean of Science Distinguished Teaching Award (2017). He serves as Co-editor-in-chief of the CAIMS Mathematics in Science and Industry Journal and was President-Elect of the Canadian Applied and Industrial Mathematics Society (2023-2025). He maintains active doctoral supervision with current research groups focusing on domain decomposition methods, closest point algorithms, and optimization techniques. Industry partnerships include projects with ExxonMobil and Global Maritime addressing drilling optimization and mooring design challenges.

Paul LeonardView profile

Associate Professor

• Biomolecular Interaction Analysis
• Single-Cell Analysis
• Biologics Discovery
• +6 more

Assoc. Prof. Paul Leonard is an Associate Professor in Biotherapeutics at Dublin City University (DCU), leading the Biomedical Innovation Group (BIG) within the School of Biotechnology. His research focuses on biomolecular interaction analysis, single-cell technologies, and biologics discovery, addressing challenges in oncology, cardiovascular disease, and infectious disease diagnostics. He has 20+ years of academic and industry experience, co-founding Remedy Biologics Ltd and securing over €15M in funding. His entrepreneurial roles include CSO/CTO, Lean Six Sigma process improvements, and advisory work for life sciences companies. Research interests span high-throughput antibody discovery, immunoassay development, and environmental sensing. He collaborates with academia and industry, including projects like AquaBioSens for aquatic pollutant detection. His lab employs multidisciplinary teams and holds patents in biotechnology. Paul also serves as an external examiner for Technical University Dublin’s Biomedical Diagnostics program. Key achievements include technology spin-outs, patent filings, and leadership in EU-funded projects. His work bridges academic innovation with commercial applications, emphasizing rapid diagnostic tools and therapeutic advancements.

James C. KaufmanView profile

Professor

• Creativity
• Creativity Assessment
• Creativity and Meaning
• +3 more

James C. Kaufman is a Professor of Educational Psychology at the University of Connecticut. He holds a Ph.D. in Cognitive Psychology from Yale University (2001). His research focuses on creativity, including assessment, meaning-making, social justice applications, and interdisciplinary domains. Notable contributions include the Four-C Model of Creativity and co-founding journals like Psychology of Aesthetics, Creativity, and the Arts . He has authored over 50 books and 300 papers, including foundational works like Cambridge Handbook of Creativity . Education: Ph.D., Cognitive Psychology, Yale University, 2001. Research Interests: Creativity Assessment, Creativity and Meaning, Creativity & Social Equity, and Cross-Domain Creativity Applications. His work bridges psychological theory with practical educational strategies. Awards: Mensa Research Award, Torrance Award (NAGC), APA Berlyne & Farnsworth Awards, and leadership in APA Division 10. Advising & Collaborations: Advised students like K. Arrington and C. Connery. Active in mentoring through co-authored research. Collaborates globally on creativity measurement tools like the K-DOCS. Labs/Teams: Leads research teams at UConn focusing on creativity’s societal impact, including pandemic-related studies on creativity and well-being during crises.

Paola CalzaView profile

Professor

• Environmental Chemistry
• Analytical Chemistry
• Photocatalysis
• +3 more

Paola Calza is a Full Professor in the Department of Chemistry at the University of Turin. Her research focuses on environmental chemistry, analytical chemistry, and advanced photocatalytic technologies for water purification. Her work addresses the degradation of emerging contaminants, transformation product analysis, and the development of novel materials for pollutant removal. She has contributed significantly to advancing photocatalysis, nanomaterial synthesis, and sustainable water treatment strategies. Her research spans diverse applications, including aquaculture water treatment, pharmaceutical pollution mitigation, and soil bioremediation. Key areas: Photocatalytic degradation, MXene-based nanocomposites, HPLC-HRMS analysis, and bio-inspired materials. Collaborations involve interdisciplinary approaches combining environmental science, materials engineering, and analytical techniques. Publications emphasize practical solutions for real-world water and soil contamination challenges.

Yang ChengView profile

Associate Professor

• Supply Chain Management
• Manufacturing Strategy
• Manufacturing Network
• +5 more

Yang Cheng is an Associate Professor at the Department of Materials and Production, Aalborg University, Denmark. He holds a PhD in Mechanical Engineering from the same institution (2011), focusing on manufacturing strategy and network dynamics. His research spans supply chain management, sustainability, and global operations, with a focus on integrating technology and environmental policies into manufacturing systems. He leads or participates in high-impact projects like MAASive (2024–2026) and the Sino-Danish Center Research Project (2011–present), addressing resilience in value networks and global operations innovation. Research Interests: Supply Chain Management & Integration Sustainability & Green Technologies Manufacturing Strategy & Networks Technology Policy & Digitalization Global Operations & Cross-Border Collaboration Recent Work Trends: Prof. Cheng's 2025 articles emphasize blockchain in sustainable supply chains, green technology investments under carbon policies, and digitalization's ethical implications. His 2024 research explores smart factories, EU battery regulations, and robotization in manufacturing. These studies blend quantitative models with case-based analysis to address real-world challenges. Awards: 2024 Emerald Literati Awards – Outstanding Reviewer Advising & Grants: As PI for multiple Global Operations Management PhD programs (2019–2025), he guides research on digital transformation and university-industry collaboration. His projects receive funding from Danish and international grants, focusing on innovation and resilience in manufacturing networks. Labs/Teams: Collaborates with the Center for Industrial Production at Aalborg University and engages in international partnerships through the Sino-Danish Center. Active editorial roles include Production Planning & Control and Journal of Manufacturing Technology Management .

Marina Freire-GormalyView profile

Assistant Professor

• Renewable Energy Systems
• Water Treatment Technologies
• Machine Learning Applications
• +5 more

Marina Freire-Gormaly is an Assistant Professor in the Mechanical Engineering Department at York University's Lassonde School of Engineering. Her research focuses on renewable energy-powered water treatment systems, machine learning for smart design, advanced manufacturing, and sustainable engineering solutions for remote communities. She holds a PhD and M.A.Sc. from the University of Toronto, specializing in carbon capture and storage technologies. She has worked on nuclear energy projects at Ontario Power Generation and contributed to World Bank sustainability assessments. She currently chairs the Canadian Society of Mechanical Engineers' Student and Young Professional Affairs committee. Education: PhD in Mechanical Engineering, University of Toronto M.A.Sc. in Mechanical Engineering, University of Toronto Research Interests: She pioneers solar-powered reverse osmosis systems, energy recovery mechanisms, and IoT-driven smart systems. Her lab explores nanotechnology applications in environmental sustainability, including carbon capture and aquatic remediation. She integrates machine learning for optimizing energy-water nexus challenges in off-grid regions. Key Contributions: Developed models for membrane fouling in desalination systems, advanced pore network characterization for geologic CO2 storage, and designed automated renewable energy systems. Her work bridges engineering innovation with global sustainability goals. Grants & Collaborations: Engages with industries like Honda Canada and Trane Canada on sustainability initiatives. Supervises graduate students in emerging areas like nanobubble technology and direct air capture systems. Lab Activities: The Freire-Gormaly Lab focuses on clean energy-water systems, with current projects involving nano-technology for space applications (Canadian Space Agency collaboration) and life cycle assessments of carbon storage technologies.

Scott BanksView profile

Lecturer

• Bioenergy
• Thermochemical Conversion
• Catalytic Pyrolysis
• +5 more

Dr. Scott Banks is a Lecturer in Chemical Engineering & Applied Chemistry at Aston University's College of Engineering and Physical Sciences. He is affiliated with the Energy and Bioproducts Research Institute (EBRI), where he researches thermochemical conversion technologies with a focus on sustainable bioenergy solutions. Education: PhD in Ash control methods to limit biomass inorganic content and its effect on fast pyrolysis bio-oil stability, Aston University (2014) Aston University Modular Award – Introduction to Learning and Teaching Practice (2020-2021) Research Focus: His work centers on catalytic pyrolysis, biomass ash control, bio-oil stabilization, and gasification char utilization. He develops advanced thermal conversion methods to create circular economy solutions and supports greenhouse gas reduction through renewable energy systems. Current work explores hydrogen production pathways from biomass derivatives. Publication Trends: Recent articles demonstrate a strong focus on biomass pyrolysis optimization, renewable policy frameworks, and sustainable feedstock development. His research employs experimental thermochemical analysis and reactor design to advance bioenergy conversion efficiency. Teaching: Module leader for Life Cycle Analysis, Renewable Energy, and Research Methods in the MSc Sustainable Engineering program.

• Software Engineering
• Video Game Development
• Artificial Intelligence for Software Engineering (AI4SE)
• +4 more

Cristiano Politowski is an Assistant Professor in the Department of Computer Science at Ontario Tech University’s Faculty of Science. His research focuses on applying software engineering principles to video game development, with particular emphasis on software testing, artificial intelligence for software engineering (AI4SE), deep reinforcement learning, and empirical software engineering. Education includes a PhD in Computer Science and Software Engineering from Concordia University (2022), supervised by Professors Yann-Gaël Guéhéneuc and Fabio Petrillo. Prior to his current role, he held postdoctoral positions at Université de Montréal and École de Technologie Supérieure in Montréal, Canada. Research interests span game engine architecture analysis, automated testing methodologies for games, and bridging gaps between academic theory and industry practices in software engineering. His work often involves empirical studies on software quality, framework impacts, and event-driven systems. Publications reflect a focus on game development challenges, including studies on API compatibility, subsystem coupling visualization, and AI-driven game balance assessment. He actively contributes to the understanding of software processes in the video game industry through surveys and dataset curation initiatives like PlayMyData.

Possu HuangView profile

Assistant Professor

• Protein Design
• Computational Biology
• Structural Biology
• +4 more

Possu Huang serves as Assistant Professor of Bioengineering in the Department of Bioengineering at Stanford University's School of Engineering. His research group operates from the Shriram Center for Bioengineering, sharing laboratory space with the Bintu Lab while maintaining an active interdisciplinary program bridging computational and experimental protein engineering. His educational journey includes: B.A. in Molecular and Cell Biology (Biochemistry) from UC Berkeley Ph.D. in Biochemistry and Molecular Biophysics from Caltech Postdoctoral training as Senior Fellow at University of Washington Dr. Huang's research focuses on atomic-precision protein design through integrated computational-experimental approaches. His lab has pioneered breakthroughs including the first computationally designed protein-protein interface, TIM barrel fold design principles, and the eOD HIV immunogen. Current work leverages machine learning , structural biology , and library optimization to develop therapeutic proteins and nanotechnology platforms, with particular emphasis on achieving natural-level complexity in engineered systems. Analysis of his 2023-2025 publications reveals three dominant trends: (1) generative AI for all-atom protein design (e.g., Protpardelle, SHAPES), (2) immunology applications targeting MHC complexes for HIV vaccine development, and (3) optogenetic tools through engineered fluorescent proteins. These works consistently integrate deep learning with wet-lab validation to solve biomedical challenges. Dr. Huang has mentored nine graduate students to completion, including PhD candidates Carla (defended June 2025), Christian (defended May 2025), and master's students Shankara and Kirsten. His lab maintains active social media presence (@possuhuanglab) and regularly publishes high-impact research while training the next generation of protein engineers. The Huang Lab operates as a dynamic interdisciplinary hub where computational biologists collaborate with experimentalists to push the boundaries of protein design. Current projects include developing tetravalent nanobody platforms, photoswitchable binders for temporal protein control, and AI-driven solutions for HIV immunogen design, all conducted within Stanford's state-of-the-art bioengineering facilities.

Jeremy BaumbergView profile

Professor

• Nanoscience
• Nanotechnology
• Nanophotonics
• +6 more

Jeremy Baumberg is a Professor at the Cavendish Laboratory, University of Cambridge, leading research in nanoscience and nanotechnology. He specializes in designing nano-materials with unique optical properties, including plasmonic cavities and polymer opals, with applications in catalysis, sensing, and energy. His work bridges academia and industry through collaborations with Hitachi, IBM, and his spin-offs Mesophotonics and Base4. Research interests focus on light-matter interaction in nanoscale systems, quantum plasmonics, surface-enhanced Raman spectroscopy (SERS), and nanocavity engineering. Recent projects include developing plasmonic nanogap reactors, high-energy-density battery materials, and the open-source WaterScope platform for water quality monitoring. Awards : Faraday Medal (2017) Rumford Medal (2014) Young Medal (2013) Royal Society Fellowship (2011) Mullard Prize (2005) His lab, the Ray Dolby Centre, explores optomechanical systems, plasmonic sensors, and nanostructured materials. Baumberg advises ARIA and serves on the EPSRC Council, emphasizing interdisciplinary innovation and scalable nanotechnology solutions.

• Biotechnology
• Systems Engineering in Bioprocessing
• Model-Based Tools
• +4 more

Professor Cleo Kontoravdi is a Professor of Biological Systems Engineering at the Department of Chemical Engineering, Imperial College London, within the Faculty of Engineering. Her roles include Director of Postgraduate Studies (2021–present) and Postgraduate Admissions Tutor (2018–2021). She holds affiliations with key research centers such as the Centre for Process Systems Engineering, Centre for Synthetic Biology, and Future Vaccine Manufacturing Research Hub. Her research focuses on applying systems engineering principles to bioprocessing, integrating model-based tools like sensitivity analysis and optimization with experimental work on mammalian cell cultures and vaccine production. Key areas include metabolic flux analysis, media optimization, and multiscale modeling. Her recent publications highlight advancements in hybrid modeling frameworks, mRNA vaccine process design, and metabolic engineering of CHO cells. She actively contributes to vaccine manufacturing strategies and sustainable biopharmaceutical supply chains. Education: PhD (2007) and MEng (2002) in Chemical Engineering from Imperial College London. Professional experience spans academic roles (since 2007) and industry R&D at Lonza Biologics (2006–2007). Her work bridges computational biology, bioprocess engineering, and systems biology, addressing challenges in vaccine development and production efficiency. Awards: Not explicitly listed in the provided text. Research grants and collaborations are implied through her involvement in high-impact projects like the Future Vaccine Manufacturing Hub. She advises on bioprocess optimization, glycoengineering, and biomanufacturing sustainability.

Theodor FreiheitView profile

Associate Professor

• Manufacturing Systems Engineering
• Design of Manufacturing and Service Systems
• Reliability and Productivity
• +15 more

Theodor Freiheit is a Research Associate Professor in the Department of Mechanical Engineering at the University of Michigan, College of Engineering. His work focuses on integrating technical and managerial aspects of manufacturing and design systems. Manufacturing systems engineering Design of manufacturing and service systems Reliability and productivity Markov chain models with predictive control Interaction between manufacturing process parameters and failure modes Product quality Influence of production system approaches across industries Applications of controls to manufacturing systems Design theory and methodology Product development Lean product design Business-product-process integration in engineering systems Flexible manufacturing systems design His research explores the intersection of engineering design, systems reliability, and control theory, with emphasis on optimizing manufacturing processes and cross-disciplinary engineering management frameworks.

Yu HuangView profile

Assistant Professor

• Software Engineering
• Human-Centered AI
• Human Factors in Programming
• +5 more

Yu Huang is an Assistant Professor of Computer Science at Vanderbilt University with a secondary appointment in the Department of Teaching and Learning at the Peabody School of Education. She is affiliated with the Institute for Software Integrated Systems, the Frist Center for Autism and Innovation, the Vanderbilt Lab for Immersive AI Translation (VALIANT), and the Vanderbilt LIVE Learning Innovation Incubator. Her research focuses on human-centered AI for software engineering, combining human cognition with machine intelligence to enhance software development processes. Educated at the University of Michigan (PhD, 2021), University of Virginia (MS, 2015), and Harbin Institute of Technology (BS, 2011), her work spans software engineering, human factors, AI, and medical imaging. Key projects include the MIND Lab, studying programmer expertise and cognitive processes, and the HumanAISE workshop on Human-Centered AI for Software Engineering. Huang has received significant recognition, including the 2025 ICPC Vaclav Rajlich Early Career Achievement Award and three ACM SIGSOFT Distinguished Paper Awards. Her research is supported by NSF, GitHub, and Vanderbilt initiatives. She advises numerous graduate and undergraduate students, emphasizing diversity and innovation in programming education.

• Nanomaterials Synthesis
• Hydrothermal Synthesis
• Photocatalytic Materials
• +3 more

Dr. Peter Dunne is an Assistant Professor in Inorganic Energy Materials at Trinity College Dublin's Department of Chemistry. His research focuses on sustainable nanomaterials synthesis, particularly hydrothermal and solvothermal methods for producing inorganic nanocrystals. He has expertise in photocatalytic materials, layered double hydroxides, and 2D nanocomposites for water purification. Dunne's work emphasizes scalable production techniques and environmental impact assessment of nanomaterials. Education: BSc (Hons) Chemistry, National University of Ireland, Galway (2005) PhD in Chemistry, National University of Ireland, Galway (2009) Research Interests: His research integrates sustainable synthesis methods with advanced material characterization, emphasizing: Development of carbon dots from seaweed derivatives for optoelectronics Continuous-flow hydrothermal systems for energy materials Environmental lifecycle analysis of nanomaterial production Photocatalytic activity of transition metal-doped nanocrystals Current Project: Leading the SEAI-funded C-Weed project (2023–2026), exploring seaweed-derived carbon dots for energy applications like LEDs and photovoltaics. This work addresses sustainable materials design and renewable energy needs. Awards: No specific awards listed, but active in professional societies including the American Chemical Society. Grants/Labs: Recipient of SEAI funding for C-Weed project. Collaborates with international teams on nanomaterials projects, particularly in energy and environmental applications.