Find Academic Supervisors

• Additive Manufacturing
• Materials Science
• Mechanical Engineering
• +3 more

Vera Popovich is a researcher in the Department of Mechanical Engineering at Delft University of Technology and a member of Team Vera Popovich. Her work focuses on advanced manufacturing techniques and material behavior analysis. Education: MSc in Engineering (implied PhD) Her research spans additive manufacturing, microstructure engineering, and material degradation mechanisms: Specializes in additive manufacturing processes and their impact on material microstructure. Investigates hydrogen embrittlement in high-strength steels. Pioneers texture control for corrosion resistance in NiTi alloys. Studies fatigue crack propagation in bi-material systems. Recent publications highlight computational modeling of grain structures, interface mechanics in wire-arc additive manufacturing, and advanced characterization techniques for material degradation. She contributes to editorial activities as an editor for Applied Sciences . Scientific Awards: 2012 Poster Prize: X-ray diffraction stress analysis in silicon solar cells She collaborates on projects like the Rhizome initiative (2021-2022) for off-Earth habitat robotics and participates in public engagement, including a 2023 media feature on Delft's 3D-printing lab.

Steven Y. LiangView profile

Professor

• precision manufacturing
• additive manufacturing
• materials science
• +3 more

Steven Y. Liang , Regents' Professor at the Georgia Institute of Technology 's Woodruff School of Mechanical Engineering, focuses on precision manufacturing , additive manufacturing , and materials-driven process optimization . His research program bridges materials science and computational mechanics to develop predictive models for advanced manufacturing systems. Ph.D., University of California, Berkeley (1987) M.S., Michigan State University (1984) B.S., National Cheng-Kung University, Taiwan (1980) Dr. Liang's work emphasizes physics-based modeling of thermal-mechanical interactions in machining and additive manufacturing, particularly for Ti6Al4V and Inconel 718 alloys. Recent publications highlight tool wear prediction , laser-assisted micro-milling , and residual stress modeling using machine learning and analytical mechanics. His research has been recognized with the ASME Milton C. Shaw Manufacturing Research Medal (2016) , SME Gold Medal (2021) , and Outstanding Lifetime Service Award of NAMRI/SME (2021) , among others. Funded by federal agencies and aerospace/automotive industries, his work provides scientific foundations for process planning and optimization.

Gabriella CasalinoView profile

Assistant Professor

• Computational Intelligence
• eHealth
• Data Stream Mining
• +5 more

Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.

Tony JanView profile

Professor

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +7 more

Professor Tony Jan leads the Centre for Artificial Intelligence Research and Optimisation (AIRO) at Torrens University Australia's Design and Creative Technology school. He holds a PhD in Computing Science from the University of Technology Sydney (2004) and a Bachelor of Engineering from the University of Western Australia (1999). His research focuses on federated machine learning for IoT security, ensembled machine learning for real-time applications, cognitive machines for human-centric computing, and smart sensor networks for healthcare and security. He has secured ARC grants and industry partnerships with NVIDIA, IBM, and Microsoft. Awards include the 2024 SEI Global Academic Excellence Award and the 2023 Torrens University Excellence Award. Research collaborations span global partners, with contributions to UN Sustainable Development Goals in education and industry. His work bridges academia and industry, expanding AI program enrollments by 2,000+ students and enhancing student satisfaction by 15%. He advises PhD students on topics like IIoT cybersecurity and smart cities, and has produced over 97 publications since 1999. Education: PhD (UTS, 2004), BEng (UWA, 1999) Research Themes: AI for Industry 5.0, Cybersecurity, Smart Cities, Healthcare Technology Key Partnerships: NVIDIA, CIMIC, Palo Alto Networks Recent Projects: Federated learning for health IoT, drone vision intelligence, ransomware detection His work emphasizes ethical AI adoption in design and healthcare, with publications exploring AI ethics, generative AI applications, and sustainable technology integration.

Thomas L. MartinView profile

Professor

• Wearable and Pervasive Computing
• Digital Design
• Interdisciplinary Design
• +3 more

Thomas L. Martin is a Professor and Bradley Faculty Fellow of Education in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His work spans wearable/pervasive computing, interdisciplinary design, and educational innovation. He holds a Ph.D. (1999) and M.S. (1994) from Carnegie Mellon University, and a B.S. (1992) from the University of Cincinnati. His research focuses on wearable computing systems, e-textiles, and curricular design. Notable contributions include developing hybrid exoskeletons, e-textile energy systems, and interdisciplinary learning frameworks. He is a leader in engineering education reform, emphasizing threshold concepts and project-based learning. Key Awarde : Bradley Faculty Fellow of Education Teaching/Research Themes : Wearable tech, medical workspace innovation, and adaptive lifelong learning Service : Active in curriculum redesign initiatives and interdisciplinary team processes His over 150 publications span topics from e-textile architectures to healthcare workspace design. Current projects explore the intersection of art/science in engineering education and scalable e-textile manufacturing.

Maobing TuView profile

Professor

• Biomass Processing Chemistry
• Biofuels and Bioenergy
• Bioprocess Engineering
• +3 more

Maobing Tu is a Professor at the University of Cincinnati, specializing in biomass processing chemistry and biofuel production. His research focuses on biochemical engineering, lignocellulosic biomass conversion, and environmental biotechnology. He holds a PhD from the University of British Columbia (2007) and East China University of Science and Technology (2001). Key research areas include developing sustainable biorefinery processes, mitigating biomass recalcitrance, and enhancing microbial fermentation efficiency. He has secured multiple grants, including an NSF CAREER Award and NSERC Fellowships, supporting projects on lignin valorization, PFAS treatment, and bioprocess engineering. Education: PhD, University of British Columbia, Vancouver, 2007 PhD, East China University of Science and Technology, Shanghai, 2001 Awards: NSF Career Award (2013–2018) NSERC Industry R&D Fellowship (2007–2008) His work spans collaborations on nanocellulose-based materials, microbial fuel cells, and lignin-based piezoelectric materials. Recent grants include federal funding for decarbonizing chemical recovery processes and novel membrane electrolysis systems. Publications highlight advancements in biomass pretreatment, enzyme recycling, and detoxification strategies for biofuel production. Current projects address environmental challenges like PFAS remediation and microbial community dynamics in water systems.

Xuming HeView profile

Associate Professor

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +9 more

Xuming He is an Associate Professor at the School of Information Science and Technology (SIST), ShanghaiTech University, where he leads the PLUS Lab. His research spans computer vision and machine learning with a focus on developing algorithms that operate effectively under limited supervision and evolving data conditions. His core research interests include weakly-supervised and few-shot learning for scenarios with sparse annotations, continual learning frameworks for knowledge retention during sequential task acquisition, semantic segmentation techniques for scene understanding, and multimodal vision-language representations. He emphasizes interpretable machine learning to build transparent AI systems capable of human-understandable reasoning, addressing critical challenges in model trustworthiness and deployment reliability. Recent publications reveal strong trends toward novel class discovery in long-tailed recognition scenarios, physics-informed generative modeling for scientific applications, and robust segmentation under distribution shifts. His work increasingly integrates large language models for multimodal reasoning while maintaining focus on efficiency in resource-constrained environments like robotic grasping and medical imaging analysis. He actively mentors students, having supervised Qian He to PhD completion and Chuanyang Hu to Master's degree in 2023. He welcomes prospective graduate students through ShanghaiTech's Computer Science & Technology program and offers undergraduate research projects requiring minimum six-month commitments. The PLUS Lab under his direction drives innovation in learning under supervision constraints, with recent work spanning medical tumor analysis, cross-view geolocation, photonic computing, and semiconductor design verification. The lab's research bridges theoretical advances with practical applications across healthcare, robotics, and scientific discovery domains.

Marie-Florence THOMASView profile

Professor

• Water and Climate Change
• Water Quality Measurement
• Urban Water Management
• +3 more

Marie-Florence THOMAS is a Professor at the School of Public Health, affiliated with the LERES Laboratory for Study and Research in Environment and Health, UMR 1085 IRSET, and the Observatory of the Environment and Sustainable Development. She holds a Doctorate in Process Engineering, a Master’s in Air and Water, and a DEA in Hydrology. Education Doctorate in Process Engineering Masters in Air and Water DEA in Hydrology Her research focuses on water and climate change , water quality measurement , urban water systems , and water risk management . She employs a multidisciplinary approach integrating environmental sciences, public health, and policy analysis. Recent projects include PHARE (HAloacetic acid production under climate change), URB-Bain (urban swimming and climate change), Aladins (climate vulnerability modeling in Brittany), and Expo-Eau (exposure to disinfection by-products). Her scientific expertise spans water quality monitoring, microbial contamination, and health determinants in urban environments. She serves on the Creseb Scientific Committee, the ANR’s Environmental Technologies Evaluation Committee, and the EHESP Board of Directors. Her work emphasizes interdisciplinary collaboration and decision-support tools for climate resilience. She teaches in academic, professional, and continuing education programs, including modules for Health Studies Engineers, the Master’s in Water Sciences, and the Master’s in Public Health. Her pedagogical approach integrates water quality, risk control, and sustainable urban practices.

Sabrina ZellmerView profile

Professor

• Battery and Fuel Cell Process Technology
• Sustainable Energy Storage
• Mechanochemical Synthesis
• +5 more

Prof. Dr.-Ing. Sabrina Zellmer holds the University Professorship for Battery and Fuel Cell Process Technology at the Faculty of Mechanical Engineering, Technische Universität Braunschweig since April 2023. She also serves as Head of the Department 'Process and production engineering for sustainable energy storage' at the Fraunhofer Institute for Surface Engineering and Thin Films IST since 2019. Her research focuses on sustainable energy storage solutions, battery technology, and mechanochemical synthesis of materials. Location: Volkmaroder Str. 5, 38104 Braunschweig Contact: s.zellmer@tu-braunschweig.de Research Focus Prof. Zellmer's work addresses critical challenges in: Direct recycling of battery production waste Mechanochemical synthesis of solid electrolytes Electrochemical modeling of novel battery systems Vacuum-based thin film technologies for cathode materials Circular economy approaches for lithium batteries Sustainability assessment of energy storage systems Scientific Contributions Her recent publications demonstrate expertise in: Advanced battery material processing Environmental impact optimization Innovative recycling methodologies Industrial sustainability strategies

Quynh DoView profile

Assistant Professor

• Sustainable Supply Chain Management
• Circular Economy
• Ethical Sourcing
• +7 more

Dr. Quynh Do is an International Lecturer (Assistant Professor) in Logistics and Supply Chain Management at The Management School, Lancaster University . Her research focuses on innovative pathways towards sustainable and circular supply chains , addressing critical issues such as waste reduction, decarbonisation, worker rights, and empowerment of marginalized actors like farmers and workers. Her work explores the digital and social innovations that drive ethical sourcing and systemic change, with applications in the textile, food, and manufacturing sectors . She collaborates with organizations such as Reverse Resources, Renewcell, and the Global Fashion Agenda to promote transparent and responsible sourcing practices. 2025: Big data analytics and supply chain learning for resilience and financial performance. 2024: Circular food waste management in Italian fish manufacturing, stakeholder collaborations in fast fashion, digital platforms for waste exchange, and power dynamics in circular supply chains. 2023: Organizational resilience during the pandemic, legitimacy-seeking behaviors in circular transitions, and data-driven supply chain learning. 2022: Global value chain restructuring post-COVID, institutional adoption of circular practices in seafood, and resource mobilization via bricolage. 2021: Systematic reviews on food waste and supply chain agility during crises.

• Steel Structures
• Cold-formed Steel Structures
• Stainless-Steel Structures
• +6 more

Hannah Blum serves as the Alain H. Peyrot Associate Professor in Structural Engineering within the Department of Civil and Environmental Engineering at the University of Wisconsin-Madison. Her research program focuses on infrastructure resilience, next-generation structural design methodologies, and advanced visualization techniques including extended reality applications, supported by funding from federal agencies, industry associations, and private companies. Her academic credentials include a PhD in Civil Engineering from the University of Sydney (2017), complemented by MS (2012) and BS (2010) degrees in Civil Engineering from Johns Hopkins University. Dr. Blum's research program spans critical domains in structural engineering with particular emphasis on steel systems. Key focus areas include: Steel, cold-formed steel, and stainless-steel structural systems Steel deck and joist system behavior Structural stability and reliability analysis Virtual and augmented reality applications in structural steel fabrication Data-driven approaches to structural engineering problems Analysis of her 15 most recent publications (2023-2025) reveals a concentrated research trajectory centered on data-driven design methodologies, advanced material systems (particularly stainless steel and high-strength alloys), and immersive technology integration. Notable trends include machine learning applications for buckling prediction, experimental validation of novel structural systems, and mixed-reality solutions for fabrication processes. Her distinguished recognition includes: University of Wisconsin-Madison Chancellor’s Teaching Innovation Award (2024) College of Engineering Harvey Spangler Award for Innovative Teaching (2023) American Institute of Steel Construction Terry Peshia Early Career Faculty Award (2023) Structural Stability Research Council McGuire Award for Junior Researchers (2022) Structural Stability Research Council Yoon Duk Kim Young Researcher Award (2021) Dr. Blum actively mentors graduate students through CIV ENGR 790 (Master's Research) and 890 (Pre-Dissertator's Research) courses while securing diverse research funding streams. Her professional service includes active participation in steel design standards committees for structural, cold-formed, and stainless-steel systems through organizations like the Structural Stability Research Council. Her experimental and computational research requires specialized facilities for structural testing and digital visualization, though specific laboratory names are not documented in the provided materials. Current projects demonstrate strong industry collaboration, particularly with steel manufacturing and construction technology firms.

Rainer QuitzowView profile

Professor

• Sustainable Innovation
• Industrial Policy
• Geopolitics of Energy Transition
• +3 more

Rainer Quitzow is a Research Group Leader at the Research Institute for Sustainability (RIFS) at GFZ Helmholtz Centre for Geosciences and an Honorary Professor (Honorarprofessor) of Sustainability and Innovation at Technische Universität Berlin . His career spans academia, international development, and policy research. Education: PhD in Political Science (Freie Universität Berlin, 2012-2015); M.A. in Development Studies (Erasmus University Rotterdam, 2003-2004); B.A. in Metropolitan Studies (New York University, 1998-2001) Professional Background: World Bank (2005-2008); Environmental Policy Research Centre (2009-2013); Technical University Berlin (2013-2014) Research Focus includes geoeconomic competition in climate-friendly industries , hydrogen economy governance , and policy strategies for industrial decarbonization . His work bridges energy transition geopolitics , renewable technology markets , and sustainability governance frameworks . Publications Trends highlight hydrogen as a decarbonization vector , policy experimentation in emerging economies , and multilateral governance challenges . Key themes include certification standards , infrastructure trade-offs , and geopolitical-economic interdependencies . Projects include Geopolitics of the Energy Transformation and Climate Action in National and International Processes . He contributes to the Science Platform Sustainability 2030 , advising on Germany’s National Sustainable Development Strategy.

• Model-Based Design
• Design Automation
• Optimization
• +4 more

Marc C.W. Geilen is an Associate Professor at the Electronic Systems group , Eindhoven University of Technology. He leads the Model-Based Design Lab and contributes to the CompSOC Lab and High Tech Systems Center . His work focuses on model-based design methods, design automation, and optimization for real-time and embedded systems. Research Keywords: Cyber-Physical Systems, Real-Time Systems, Embedded Systems, Performance Analysis, Design Automation Key Collaborations: EU ECSEL TRANSACT project, SAM-FMS project, Arrowhead Tools initiative His recent publications address weakly-hard timing constraints in server-based systems, hybrid performance modeling for cyber-physical systems, and neural network optimization for communication. Article trends span Real-Time Scheduling , Trustworthy Modeling , Neural Network Efficiency , and Resource Allocation in distributed environments. Scientific Awards : Partial-Order Reduction for Performance Analysis (2018) Teaching activities include courses in Computational Modeling , Embedded Signal Processing , and Discrete Mathematics . He collaborates across projects like TRANSACT, SAM-FMS, and Arrowhead Tools, focusing on flexible manufacturing and cloud-to-edge transitions.

• Renewable Energies
• Solar Technology
• Thermoelectrics
• +4 more

Prof. Dr. Nadine Buczek serves as Professor of Renewable Energies, Nanotechnology and Photonics at the Department of Applied Natural Sciences, Lübeck University of Applied Sciences (TH Lübeck), a position she has held since 2017. She leads the Energy Materials Laboratory and maintains active affiliations with the Climate and Environmental Protection Group, Materials for Storage and Renewable Energy Systems, and Photovoltaics Group. Her research centers on physical principles of renewable energy systems and photonics, with core expertise in solar technology, thermoelectrics, and nanoscale material engineering. She investigates spin wave phenomena in disordered magnetic materials and develops advanced fabrication techniques for silicon nanowires and superlattices using metal-assisted chemical etching, with applications in sustainable energy conversion and storage. Analysis of her 15 most recent publications (2012-2022) reveals consistent focus on condensed matter physics and nanomaterial engineering. Key trends include theoretical modeling of spin dynamics in alloys, structural characterization of etched semiconductor nanostructures, and optimization of nanofabrication processes for renewable energy applications. Her work bridges experimental nanotechnology with computational physics, primarily targeting semiconductor-based energy solutions. The Energy Materials Laboratory under her direction drives interdisciplinary research in photovoltaics and thermoelectric materials, collaborating closely with the Materials for Storage and Renewable Energy Systems group. Current projects emphasize scalable nanofabrication methods and fundamental studies of charge transport in nanostructured materials to advance next-generation renewable energy technologies.

• Process Technology
• Device Design
• Silicon Carbide (SiC) Electronics
• +3 more

Carl-Mikael Zetterling is a Professor and Head of Department at Kungliga Tekniska Högskolan (KTH) in Stockholm, Sweden, affiliated with the School of Electrical Engineering and Computer Science (ICT) and the Electronics and Embedded Systems department. His research focuses on process technology and device design for high-temperature, high-power silicon carbide (SiC) electronics, expanding into SiC-based analog and integrated circuits. He has authored over 300 publications, including books on SiC process technology and plagiarism prevention. Dr. Zetterling has held leadership roles such as Vice Dean of the School of ICT (2013–2017) and teacher representative on KTH's faculty board. He has collaborated internationally at Stanford University, Kyoto University, and Kyoto Institute of Technology. His work addresses applications in extreme environments, including Venus exploration and fusion reactor monitoring, with a focus on radiation tolerance and thermal resilience. The 15 most recent publications highlight trends in wide bandgap semiconductors, gamma irradiation effects on SiC devices, and high-temperature integrated circuits. His articles span structural health monitoring with machine learning, novel SiC diode designs, and radiation-hardened electronics. Key contributions include advancements in self-aligned contacts, trench MOSFETs, and compact modeling for extreme conditions. While no formal awards are listed, his roles in technical program committees (TMS Electronic Materials Conference, IEEE SISC Conference) and editorial work demonstrate significant academic service. He teaches courses ranging from digital design to high-temperature electronics, overseeing degree projects in embedded systems, communication, and nanotechnology.