Find Academic Supervisors

Henry CutlerView profile

Professor

• Health Economics
• Policy Evaluation
• Value-Based Payments
• +4 more

Henry Cutler is a Professor and Inaugural Director of the Macquarie University Centre for the Health Economy (MUCHE), affiliated with the Macquarie Business School at Macquarie University. He holds a Visiting Research Fellowship at the University of Oxford and has extensive leadership experience in health economics, including roles at KPMG and Deloitte Access Economics. His research focuses on policy evaluation, value-based healthcare, mental health, and aged care, with significant contributions to over 180 commissioned research projects for governments and NGOs. Education: PhD in Economics, University of New South Wales Master of Economics, University of Sydney Bachelor of Business (Economics), University of Technology Sydney Research Interests: Policy evaluation, value-based payments, mental health economics, aged care financing, and integrated care systems. His work emphasizes translating economic research into actionable policies, particularly for vulnerable populations. Awards and Recognition: Deeble Institute Fellowship (2022) MQBS Research Impact Prize 2023 Macquarie Business School Impact Competition Winner (2020, 2022) Awarded grants totaling $34M as Chief Investigator Grants and Leadership: Leads over 40 research projects at MUCHE, valued at $10M+, and chairs national advisory panels on aged care, mental health, and suicide prevention. His Macquarie University Evaluation Group evaluates medicines and medical devices for national committees like PBAC and MSAC. Media and Outreach: Active in public discourse, with 112 media contributions, 15 TV/radio interviews, and 13 high-impact articles in The Conversation (350k+ reads). Authored reports analyzing federal budgets and health policies.

Rajan JagpalView profile

Researcher

• Composite Materials
• Manufacturing Processes
• Hydrogen Storage Technologies
• +3 more

Rajan Jagpal is a Researcher in the Department of Chemical Engineering at the University of Bath, affiliated with the Centre for Integrated Materials, Processes & Structures (IMPS), The Foundry Centre for Digital Manufacturing & Design, and the Centre for Sustainable Energy Systems (SES). He holds a PhD in Automated Composite Manufacturing (2022) supervised by Prof. Evangelou, Prof. Loukaides, and Dr. Butler. His research focuses on composite materials processing, hydrogen storage technologies, UAV photogrammetry applications, and sustainable manufacturing systems. Key research contributions include optimizing non-crimp fabric preforming via magnetic clamping and Bayesian algorithms, developing freeze-cast porous composites for hydrogen storage, and advancing UAV-based manufacturing quality control. He collaborates on projects like the High Speed Microtomography initiative (2022–present) investigating carbon fabric deformation mechanisms. His work addresses UN Sustainable Development Goals related to affordable clean energy and industry innovation. He actively engages in public outreach, contributing to school engagement activities from 2018–2019. Jagpal is currently accepting doctoral students for research aligned with his expertise in advanced manufacturing and materials science.

Andrew James NeelyView profile

Professor

• Hypersonic Aerothermodynamics
• Fluid-Structure Interaction
• Thermal-Structural Modelling
• +4 more

Professor Andrew James Neely is the Associate Dean (Research Engagement) at UNSW Canberra, where he also holds a full professorship in the School of Engineering and Technology. His research focuses on hypersonic aerothermodynamics, thermal-structural modeling, fluid-structure interaction (FSI), and biomechanics of nerve tissue. He leads international collaborations including the HIFiRE, HyCAUSE, and SCRAMSPACE flight experiment projects, and hosts the High-Speed FSI Unit Cases database. His key roles include Non-executive Director at Canberra Innovation Network (CBRIN), Fellow of the Royal Aeronautical Society (RAeS), and President of RAeS Australian Division (2017–2019). He founded the RAeS 'Cool Aeronautics' STEM outreach program and actively engages with organizations like the American Institute of Aeronautics and Astronautics (AIAA) and International Society for Air Breathing Engines (ISABE). His awards span technical excellence (AIAA Best Paper Awards) and STEM outreach (Harry Staubs Award). Research Grants : 2023: Hypersonic FTSI Unit Case for a Thermally Buckled Structural Panel (USAF AFOSR) 2023: NCI Supercomputer Time Allocation (Fluid-thermal-structural interactions) 2022: Trailblazer Universities Program funding for Defense research 2022: USAF AOARD project on shape distortion sensing 2021: Lockheed Martin Australia grant on hypersonic aerothermal shape distortion 2021: DST Group funding for FSI experiments Neely supervises PhD/MRes students in areas like hypersonic FSI, biomechanics, and propulsion systems. He has a strong track record of graduated students now working in aerospace industry and academia. His work bridges computational and experimental hypersonics, with recent studies on NASA AePW3 panel flutter and optic chiasm compression mechanics. Labs/Teams : Leads UNSW's hypersonics research group, collaborating with Canberra Hospital, ANU Medical School, and European partners through the HEXAFLY-INT project. Involved in advanced diagnostics like high-speed IR thermography and digital image correlation systems.

• Steel Structures
• Composite Materials
• Structural Stability
• +2 more

Andreas Taras is a Full Professor at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, where he serves as Deputy Head of the Institute of Structural Engineering. His research focuses on steel and composite structures, structural stability, and fatigue behavior. Key research domains include: innovative steel-concrete-timber composite systems, stability and reliability of metallic structures, fatigue life prediction in bridges, and structural optimization using advanced analysis methods. His work integrates experimental testing with computational approaches to advance sustainable structural design. Recent investigations explore cutting-edge applications like iron-based shape memory alloys in structural glass systems, robotic additive joining for reclaimed steel, and novel hybrid systems combining folded sheet steel with cement-free concrete. Publications demonstrate consistent innovation in structural materials and connection technologies.

• Marketing Strategy
• Customer Relationship Management (CRM)
• International Marketing Management
• +5 more

Pravin Balaraman is a Senior Lecturer at the School of Business and Creative Industries, University of the West of Scotland. His expertise spans Marketing Strategy, Customer Relationship Management (CRM), International Marketing Management, and ERP systems in aviation sectors. He previously served as a Tutor for MBA programs at the University of Strathclyde and practiced as an Advocate in the High Court Madras, Chennai, India. He has held roles as Programme Leader for BA Marketing and MSc International Marketing Management, and is currently an External Examiner at Staffordshire University, University of West London, and Robert Gordon University. Research focuses on CRM in Middle East banking, B2B relationships in higher education, and cross-cultural consumer behavior. Key contributions include studies on UAE banking CRM, UK-Malaysia private label comparisons, and organic food purchasing in Qatar/ UAE. His work addresses UN SDGs related to responsible consumption and partnerships. Education Background: Guest lecturer roles at institutions in India (Madras Christian College, EDI Institute), Czech Republic (Jan Evangelista Purkyne University), and Greece (Graduate Technological Education Institute of Piraeus). Research Awards: Recipient of the Best Research Paper Prize in Entrepreneurial & Small Business Marketing at the Academy of Marketing Conference (2019). Active in international conferences and collaborative projects with institutions across India, Greece, and the Middle East. Advising & Grants: Supervised research on women entrepreneurs in India (Self Help Groups) and CSR in Bangladesh’s garment sector. Collaborates with Emirates Airlines on ERP system studies and Middle East banking CRM frameworks. Labs/Teams: Engaged in cross-disciplinary teams exploring social media partnerships (e.g., Bridging the Gap study) and UN SDG-aligned research initiatives.

• Computer Architecture
• Embedded Systems
• High-Performance Computing
• +9 more

Zapater Sancho Marina is an Associate Professor at the ReDS Institute (Institute of Reconfigurable and Embedded Digital Systems) within the School of Engineering and Management Vaud (HEIG-VD), part of the University of Applied Sciences and Arts Western Switzerland (HES-SO). She holds dual master's degrees in Electronic and Telecommunication Engineering from Universitat Politècnica de Catalunya (2010) and a PhD in Computer Science from Universidad Politécnica de Madrid (2015). Her career includes postdoctoral work at EPFL (2016-2020) and assistant professorship at Universidad Complutense de Madrid (2015-2016). Education BSc & MSc in Electronic Engineering (UPC 2010) PhD in Computer Science (UPM 2015) Research Focus spans cross-layer optimization of heterogeneous architectures for performance and energy efficiency, with emphasis on: Embedded systems (IoT/edge computing) High-performance compute architectures Analog in-memory computing for AI Thermal/power management in 3D chips Cloud-edge AI workload orchestration Publication Trends show expertise in RISC-V simulation frameworks, analog computing tiles for CNNs, virtual memory redesign, and AI-driven cloud performance prediction. Her recent work explores thermal-aware 3D chip management, hybrid-cache reliability optimization, and open-source teaching platforms for radio theory. Awards include a Spanish government PhD fellowship. She has led 4 European H2020 projects since 2016 and currently serves as PI for 4 industrial collaborations (Facebook/Intel/Huawei), Innosuisse projects, and HES-SO initiatives. Labs & Teams include the ReDS Institute, EPFL's Embedded Systems Laboratory, and collaborations with Yale/Edinburgh. She co-developed the ALPINE simulation framework and SO3 operating system modifications for Midgard project validation.

• Energy-Efficient Computing
• Hardware Acceleration
• Machine Learning
• +3 more

Dr. David Boland is a Senior Lecturer at the School of Electrical and Computer Engineering, University of Sydney. He holds an MEng and PhD from Imperial College London. His research focuses on energy-efficient hardware acceleration, particularly using FPGAs and application-specific integrated circuits (ASICs), to optimize computational efficiency in domains like machine learning and optical communications. He has contributed to projects involving custom hardware accelerators, federated learning for edge computing, and real-time signal processing. Education: MEng, Imperial College London, 2007 PhD, Imperial College London, 2012 Research Interests: Dr. Boland’s work emphasizes reducing computational overhead through customized hardware solutions. He explores techniques for minimizing unnecessary computations while maintaining accuracy, leveraging FPGA-based designs for parallelism and energy efficiency. Key areas include: Hardware acceleration for machine learning FPGA optimization for neural networks Energy-efficient algorithms for edge computing Online arithmetic and latency-accuracy trade-offs Grants & Collaborations: 2022: On-Board Federated Learning in Orbital Edge Computing (NSW Department of Industry) 2017: Fast Automated Anomaly Detection in Communication Networks (Defence Science & Technology Group) Affiliations: Member of the Net Zero Institute, collaborating on sustainable computing solutions.

Song ShuView profile

Assistant Professor

• Remote Sensing
• Cryospheric Processes
• Hydrosphere Dynamics
• +5 more

Dr. Song Shu is an Assistant Professor in the Department of Geography and Planning at Appalachian State University, specializing in remote sensing applications for cryospheric and hydrospheric studies. She holds a Ph.D. from the University of Cincinnati (2013–2019), an M.S. and B.S. from East China Normal University (2010–2013 and 2006–2010). Her research focuses on satellite altimetry, lake hydrology, and climate change impacts using advanced remote sensing techniques. She teaches courses such as GHY 3812: Geographic Information Systems, GHY 3310: Environmental Remote Sensing, and GHY 4810/5810: Digital Image Processing. Her work emphasizes improving satellite altimetry for Earth surface dynamics, retrieving hydrosphere/cryosphere parameters (e.g., snow depth, lake levels), and analyzing climate change effects on lakes. Key contributions include studies on Arctic snow accumulation, Tibetan Plateau vegetation dynamics, and urban heat island mitigation. Dr. Shu collaborates on interdisciplinary projects, including ICESat-2 ice shelf analysis and water quality modeling in inland lakes. Publications span high-impact journals like Remote Sensing of Environment (IF 9.09), IEEE Transactions on Geoscience and Remote Sensing (IF 5.86), and Nature Communications Earth & Environment. Her research integrates multi-source remote sensing data and geospatial methods to address global environmental challenges.

Armando Walter ColomboView profile

Professor

• Cyber-Physical Systems
• Industrial Digitalization
• Industry 4.0
• +3 more

Prof. Dr. Armando Walter Colombo is a Professor at the Department of Technology, Electrical Engineering and Informatics at the University of Applied Sciences Emden/Leer. He leads the Institute I2AR as Scientific Director and coordinates the DAAD/DAHZ Binational Master in Industrial Informatics with the Universidad Tecnológica Nacional-FRRe in Argentina. His research focuses on Cyber-Physical Systems (CPS), Industrial Digitalization, Industry 4.0, and Smart Manufacturing. Key areas include asset administration shells, IoT integration, and sustainable industrial automation. He holds IEEE Fellow status and is a Distinguished Lecturer for the IEEE Systems Council. He has pioneered educational frameworks like T-CHAT and contributed to standards alignment (RAMI4.0, IEEE Industrial Agents). Recent publications emphasize Industry 4.0 compliance, digital twins, and AI in logistics. Responsibilities: DAAD Master Coordinator, Institute I2AR Director, and International Relations Officer. Awards: IEEE Fellow, Distinguished Lecturer (IEEE Systems Council). Grants & Partnerships: DAAD-funded binational programs, EU-funded PERFoRM projects. His work bridges academia and industry through platforms like the ICPS-based Digital Factory Lab, addressing SME digitalization and sustainable automation.

• Computer and Network Security
• Computer Networking
• Network Modeling and Performance Evaluation
• +4 more

Cliff C. Zou is a Professor at the Department of Computer Science, University of Central Florida (UCF), and Program Coordinator for Master's degrees in Digital Forensics and Cyber Security and Privacy. He serves as a UCF Cybersecurity and Privacy Cluster member, Point-of-Contact for UCF CAE-CD/CAE-R designations, and leads the Data Systems Group. With a Ph.D. from University of Massachusetts, Amherst (2005), and B.S./M.S. from USTC, he has received numerous awards including the UCF-TIP Award (2013, 2024), Best Paper Awards, and Fellowships. Ph.D., Electrical & Computer Engineering, University of Massachusetts, Amherst (2005) M.S., Automation, University of Science & Technology of China (USTC) (1999) B.S., Automation, USTC (1996) His research spans Computer and Network Security , IoT Security , Blockchain Systems , Wireless Network Security , and Malware Analysis . Recent work focuses on adversarial machine learning, side-channel attacks, encrypted traffic classification, and secure IoT architectures. His publications (2025-2020) highlight trends in deep learning-based defense , WiFi fingerprinting , TrustZone security , and malware propagation . Scientific Awards: UCF Teaching Incentive Program (TIP) Award (2024, 2013) Best Paper Award (2023) Best Student Paper Award (ACSAC 2007) Guo Moruo Scholarship (USTC, 1996) Graduate Fellowships (University of Massachusetts, 1999-2001) Prof. Zou has advised 14 PhD graduates and numerous Master's/BS students, many now holding academic/industry roles. His funded projects include NSF grants (DGE-2325452, DGE-2042996, DGE-1723587, DGE-1915780), US Army PEO STRI collaborations, and Florida Center for Cybersecurity seed grants. He leads the cyberforensic.net educational platform and has contributed to free IoT security labs for professionals.

Li LiuView profile

Assistant Professor

• Computer Science Education
• Accessibility in Technology
• Human-Computer Interaction
• +3 more

Li Liu is an Assistant Professor in the Department of Computer Science at California State University, Northridge (CSUN). He holds a Ph.D. in Computer Science from the University of Alabama (2010) and a B.Eng. in Engineering from Shandong University (2006). His research focuses on enhancing accessibility in computing, particularly for individuals with special needs, emphasizing the principle that 'simplicity is the ultimate sophistication' in interactive systems design. He is affiliated with the 4Humanities@CSUN Research Lab and actively contributes to advancing inclusive technology. Dr. Liu’s scholarly work spans interdisciplinary fields, including nanomaterials for energy applications such as fuel cells and batteries, leveraging computational methods. His publications explore topics like intermetallic nanocrystals, van der Waals heterostructures, and excitonic dynamics, reflecting a strong foundation in materials science and theoretical physics. Despite his prolific output, no scientific awards are explicitly mentioned in the provided texts. His advising and grant activities remain unspecified, though his lab’s focus on digital humanities suggests collaborative projects in accessible technology and computational methods. The 4Humanities@CSUN lab underscores his commitment to interdisciplinary research at the intersection of computing and human-centric applications.

• Computer Science
• Cybersecurity
• WebAssembly Security
• +3 more

Weihang Wang is a Volunteer Assistant Professor in the Department of Computer Science and Engineering at the University of Southern California (USC), part of the School of Engineering and Applied Sciences. His research focuses on WebAssembly security, program analysis, and static/dynamic analysis frameworks. He holds a PhD and has published extensively on topics like WebAssembly obfuscation, decompilation techniques, and flaky test mitigation. Research interests include cybersecurity, software engineering, and the application of AI in program analysis. His work addresses challenges in cross-compilation for WebAssembly, decompilation accuracy, and automated detection of security vulnerabilities in web applications. Notable projects include WaSCR (side channel repairer), WBSan (bug detection), and Wefix (flaky test automation). He has received NSF travel grants for IEEE Security Development (SecDev) conferences in 2022 and 2023. His articles span 2010–2025, showing sustained contributions to web security, compiler optimization, and program transformation. His work intersects with practical applications like ad-blocking systems (Adhere) and bird flu outbreak prediction using migration data (2010–2013). Grants and awards include NSF funding for travel and research, reflecting his active role in academic conferences. He is affiliated with USC's computer science department and maintains an active Google Scholar profile with over 30 publications listed.

Robert MandersonView profile

Senior Lecturer

• Information Systems
• Business & Industry
• Education Technology
• +7 more

Robert Manderson is a Senior Lecturer in the University of Roehampton Business School, specializing in information systems, project management, and business research. He holds a B.Sc., Dip.Sc., M.Sc., and is a Fellow of the Higher Education Academy and PRINCE2 Registered Practitioner. His career spans software engineering at BAE Systems and academic research roles at Lancaster University and Manchester University, funded by EPSRC and BT Plc. External Examiner roles at York Business School (2020–2024), Glyndwr University (2013–2016), and University of West London (2011–2015) Member of British Academy of Management and IEEE Research interests focus on ICT in business, Cloud computing, Big Data, education technology, and employability. He contributes to textbooks on Management Information Systems and regularly reviews conference papers. Current projects explore Fintech regulation, aerospace IT innovation, and social media's role in student employability. Key awards: Fellow of HEA, PRINCE2 Certifications Teaching areas include data analytics, PRINCE2/Agile methodologies, and Adobe Creative Cloud. He has advised on modules across computing and business programs, emphasizing ICT's role in organizational success.

• Bioinformatics
• Computational Biology
• Pharmacogenomics
• +5 more

Giuseppe Agapito is a Professor at the Department of Law, Economics and Sociology (DiGES) at the University of Camerino, where he teaches courses such as Elements of Computer Science and Data Analysis. He specializes in computational biology, bioinformatics, and health informatics, focusing on genomic data analysis, machine learning applications in healthcare, and parallel computing methodologies. His research integrates multi-omics approaches, pathway enrichment analysis, and predictive modeling for drug response and disease mechanisms. Notable contributions include tools like BioPAX-Parser and cPEA, which enhance genomic data interpretation. He actively collaborates in international studies, such as the 4CE consortium analyzing SARS-CoV-2 impacts. His work addresses challenges in privacy-aware bioinformatics, high-performance computing for genomics, and AI-driven medical diagnostics. Education details are not explicitly provided in the texts, but his academic profile reflects extensive expertise in interdisciplinary fields bridging computer science and biomedical research. He maintains an active research agenda with over 50 publications since 2018, emphasizing scalable data analysis, drug biomarker discovery, and computational methods for clinical outcomes prediction. His teaching responsibilities include IT management and data analysis modules within social science curricula, reflecting a commitment to digital literacy across disciplines. Research interests span bioinformatics tool development, genomic data preprocessing, and AI applications in healthcare, with a focus on translational research. Recent articles highlight advancements in fMRI classification using graph neural networks, privacy-preserving genomic pipelines, and edge-based deep learning for medical signal analysis. Awards and grants are not explicitly listed, but his sustained contribution to international research consortia underscores his field influence. He advises students and researchers on computational methodologies and hosts weekly office hours for academic consultations.

Wangzhong MuView profile

Senior Lecturer

• Sustainable Metallurgy
• Microstructure Physics
• Alloy Design
• +3 more

Prof. Wangzhong Mu is a Senior Lecturer (Docent) in the Department of Materials Science and Engineering at KTH Royal Institute of Technology, Stockholm. His research focuses on sustainable metallurgy, microstructure physics, and alloy design. He leads the thermo-physical property analysis section in the Hultgren Lab and is affiliated with Digital Futures at KTH. Educations: PhD in Materials Science, KTH Royal Institute of Technology (2015) MSc/Bachelor's in Materials Science, Northeastern University, China Research Interests: Inclusion engineering and microstructure-property correlations in steels High-entropy alloy design using digital tools (AI/thermodynamic modeling) In-situ characterization via confocal microscopy and multiscale analysis Recycling-oriented steel production and CO2 reduction strategies Grants/Projects (selected): SSF Strategic Mobility Grant (2023-2024): Clean steel for sustainable future VINNOVA Mobility Grant (2022-2024): Hydrogen-based metallurgy STINT Project (2022-2023): Inclusion engineering for green steel EIT RawMaterials (ENDUREIT, 2019-2021): Durable steels at intermediate temperatures Labs/Teams: Hultgren Lab (materials characterization), Digital Futures (AI-driven metallurgy), and international collaborations with Hanyang University (South Korea), IIT Bombay (India), and Tohoku University (Japan).