جست‌وجوی استاد و پژوهشگر

• Molecular Diagnostics
• Antimicrobial Resistance
• Point-of-Care Technologies
• +۶ مورد دیگر

Jesus Rodriguez Manzano is an Associate Professor in the Department of Infectious Disease at Imperial College London's Faculty of Medicine. He leads research in molecular diagnostics, antimicrobial resistance (AMR), and point-of-care technologies. His work focuses on developing innovative diagnostic devices and leveraging machine learning to enhance diagnostic accuracy and throughput. Dr. Rodriguez-Manzano is Deputy Director of the Centre for Antimicrobial Optimisation (CAMO) and co-founder/CSO of ProtonDx, a diagnostics company. Education: BSc in Biological Sciences, MSc in Advanced Microbiology, and PhD in Microbiology and Biotechnology (University of Barcelona). Postdoctoral research at Caltech (USA) and Imperial College London (UK). Research Interests: Point-of-care diagnostic platforms (e.g., SmartLid, Dragonfly) Machine learning-enhanced PCR multiplexing Host-response biomarker translation Single-molecule PCR mechanism analysis AMR surveillance and outbreak response Affiliations include the NIHR Health Protection Research Unit in HCAI and AMR, CAMO-Net Network, and the Digital Diagnostics for Africa Network. His work addresses global health challenges in resource-limited settings and pandemic preparedness. Grants/Advisory Roles: UK Expert Advisor to the Science and Technology Committee, WHO R&D Blueprint panelist, and NIHR HPRU lead. Over 100 peer-reviewed publications and 15 patent applications demonstrate his impact in diagnostic innovation. Labs/Teams: CAMO’s multidisciplinary team combines microbiology, bioengineering, and data science. Facilities include molecular labs, mass spectrometry, and sensor fabrication units.

• Building Information Modelling (BIM)
• ICT in the built environment
• Child-friendly outdoor environments
• +۴ مورد دیگر

Professor Lamine Mahdjoubi is Professor of the Built Environment at the University of the West of England (UWE Bristol), Faculty of Environment and Technology, Department of Architecture and the Built Environment. An architect and urban designer by training, he has gained international recognition for integrating advanced ICT solutions into the design, management, and visualisation of the built environment. Education & Qualifications: Qualified in Architecture and Urban Design (specific institutions and dates not provided in the text). Research Interests: Professor Mahdjoubi’s research focuses on the intersection of digital technologies and sustainable urban environments. He develops innovative methodologies and tools for analysing human–environment interactions, with particular emphasis on: Building Information Modelling (BIM) for design, construction, and operations; Virtual and immersive environments for collaborative design and stakeholder engagement; Child-friendly outdoor environments, linking urban design to public health outcomes; Heritage Building Information Modelling (HBIM) for retrofitting and conservation; Blockchain and machine-learning applications for decentralised energy management; Decision-support systems for brownfield redevelopment and risk assessment. Publication Trends: Across >100 peer-reviewed outputs, recent work (2020–2025) demonstrates a clear pivot toward AI and data-driven approaches in the built environment. A dominant strand couples BIM with machine-learning and VR/AR technologies to enhance design coordination, safety, and sustainability. Energy research increasingly integrates blockchain and large-language-model systems for smart grids. A second major strand addresses socio-environmental equity, producing evidence-based guidelines for healthy outdoor spaces for children and refugee communities. Scientific Awards & Recognition: While specific named awards are not listed, Professor Mahdjoubi’s international recognition is evidenced by: Membership of the Advisory Board, International Making Cities Livable (USA); Invited keynote speaker at numerous national and international conferences; Chief/External Examiner roles for universities in the UK and overseas; Founding Director of the pioneering Virtual Reality Enterprise Centre (VREC) at UWE Bristol. Research Funding & Teams: He has secured and directed major projects funded by: UK Engineering & Physical Sciences Research Council (EPSRC); British Academy; European Union Framework Programmes; Qatar National Research Fund (QNRF); Industry partners and local authorities. These initiatives have supported multidisciplinary teams spanning architecture, computer science, public health, and social policy. Laboratories & Centres: Professor Mahdjoubi founded and directed the Virtual Reality Enterprise Centre (VREC) , the first UK centre dedicated to knowledge exchange in visualisation and analysis of the built environment. The centre provides state-of-the-art VR/AR facilities for teaching, research, and industry collaboration.

Laurna Bullockمشاهده پروفایل

مدرس

• Musculoskeletal Health for Older Adults
• Equitable Person-Centred Care
• Dementia
• +۲ مورد دیگر

Dr. Laurna Bullock is a Lecturer in Applied Health Research at Keele University's School of Medicine. She holds a PhD in mixed methods research focusing on pain management in dementia patients (2019) and advanced degrees in health psychology and psychology from Staffordshire University. Her primary research interests include musculoskeletal health in older adults, equitable person-centred care, and dementia care innovations. She leads the DOMINO study (NIHR Advanced Fellowship-funded), exploring osteoporosis medicine optimization for dementia patients. Her work emphasizes shared decision-making in healthcare, evidenced by projects like the iFraP study (osteoporosis decision aids) and INDEX study (bone density scan optimization). She is affiliated with the Keele Osteoporosis Research Group and collaborates with NHS Trusts. Supervision includes PhD candidates Chelsea Kettle (osteoporosis consultations) and Imogen Gunson (ambulance responses to elderly fallers). Key publications span osteoporosis interventions, telehealth acceptability during the pandemic, and qualitative studies on clinical practices. Awards include NIHR Advanced Fellowship (2025). Grants include DOMINO study funding. Professional activities include editorial contributions to Musculoskeletal Care , Archives of Osteoporosis , and BJGP Open . Awards: NIHR Advanced Fellowship for DOMINO study (2025) Grants: DOMINO study funding Labs/Teams: Keele Osteoporosis Research Group

• Medical Imaging
• Medical Imaging Physics
• Radiation Protection
• +۳ مورد دیگر

Katy Szczepura is an Associate Professor in Medical Imaging Physics at the University of Salford's School of Health & Society. She has been at the institution since 2007 and serves as co-research lead for the Digital Skills and Medical Imaging research group. Her work focuses on medical image analysis, optimization of imaging technologies, and improving health outcomes through innovative techniques. She is also co-chair of the School's research ethics committee and an associate editor for the British Journal of Radiology, the UK's highest-impact medical imaging journal. Her research interests include radiation protection, perception in medical imaging, and optimizing imaging protocols across clinical applications. She actively contributes to multidisciplinary initiatives, including the Manchester Medical Society's Medical Imaging Section and the Greater Manchester Cancer Academy's Expert Advisory Group. Katy teaches medical physics, technology, and ethics across undergraduate and postgraduate programs. She has supervised 13 successful PhD students and numerous MSc students, emphasizing a research-informed teaching approach. Her recent work explores pain reduction in mammography, end-of-life care in imaging, and AI-driven diagnostics for cardiovascular disease detection. Her contributions to imaging quality control, digital health applications, and patient safety are reflected in over 65 peer-reviewed publications and collaborative projects with industry and clinical partners.

Mary Steeleمشاهده پروفایل

پژوهشگر ارشد

• Digital Behavioural Interventions
• Primary Care
• Dermatology
• +۲ مورد دیگر

Mary Steele is a Senior Research Fellow at the University of Southampton specializing in digital behavioural interventions for chronic health conditions. She is actively affiliated with the Centre for Clinical and Community Applications of Health Psychology, Primary Care Research Centre, and Primary Care Behavioural Science Group. Her current work focuses on the Acne Care Online project, developing evidence-based digital tools to improve dermatological care through primary care pathways. Dr. Steele's research centers on digital health applications in dermatology (acne, eczema) and oncology (cancer survivorship), emphasizing patient self-management and behavioural change. She employs mixed-methods approaches including randomized controlled trials, cost-effectiveness analyses, and qualitative process evaluations to assess intervention feasibility and real-world implementation. Her work consistently addresses user-centered design, accessibility for diverse populations, and integration within NHS primary care frameworks. Analysis of her recent publications reveals a cohesive research trajectory focused on scalable digital solutions for skin conditions and cancer recovery. Key trends include rigorous evaluation of online interventions through pragmatic trials, adaptation for ethnically diverse skin tones, and examination of implementation barriers. Her studies increasingly incorporate health economics perspectives and telehealth empathy metrics, demonstrating evolution from intervention development to sustainable healthcare integration. Dr. Steele contributes to major collaborative projects including Acne Care Online, Optimising Acne Care Online for ethnically diverse skin tones, and the completed Movember/Prostate Cancer UK TrueNTH initiative. These projects involve multidisciplinary teams across UK institutions with funding from health research bodies. While specific grant amounts aren't detailed, her work demonstrates consistent support for translational digital health research. As part of the Primary Care Research Centre and Behavioural Science Group, Dr. Steele collaborates with clinicians, health psychologists, and economists to advance digital therapeutics. Her team-based approach prioritizes co-design with patients and healthcare providers, ensuring interventions address real clinical needs while maintaining scientific rigor for NHS adoption.

• Chemical Engineering
• Environmental Sustainability
• Mathematical Modelling
• +۵ مورد دیگر

Dr. Eric Sanjaya is a Research Fellow at the University of Sydney's Faculty of Engineering, specializing in multidisciplinary chemical engineering with a focus on environmental impact reduction and process optimisation. He earned his PhD and BEng(ChemEng) from the University of Sydney, with additional international research experience. Research Interests: His work bridges chemical engineering, environmental sustainability, and mathematical modelling. Key areas include plasma gasification, circular economy strategies, advanced waste-to-hydrogen conversion, and environmental impact assessments using Life Cycle Assessment (LCA). Circular economy and low-emission technologies Process modelling and optimisation Reaction engineering and process design Advanced thermal waste conversion Wastewater treatment Resource extraction and sustainable refining Recent Publications: His peer-reviewed work explores plasma reactor kinetics for tar cracking, environmentally sustainable concrete 3D-printing, and critical reviews of plasma gasification in circular economy frameworks. Scientific Awards: 2024: TechVouchers grant for environmental footprint analysis of aerosols 2024: IEA-funded research on waste-to-hydrogen technologies 2023: Paulette Isabel Jones Career Award 2021: India-Australia Circular Economy Hackathon winner 2020: NSW EPA Hackathon winner 2018-2023: Multiple scholarships including Sydney International Strategic Scholarship Teaching & Supervision: Co-designed CHNG5009 (Digital Circular Economy), Australia's first university course on circular economy, and mentored students in dynamic modelling and process design.

Gareth Conduitمشاهده پروفایل

استاد

• Strongly correlated electron systems
• Machine learning for materials discovery
• Machine learning for drug discovery
• +۵ مورد دیگر

Gareth Conduit is a Professor-level Research Fellow in the Theory of Condensed Matter Group at the Cavendish Laboratory, University of Cambridge, and a Fellow of Gonville and Caius College. He leads a multidisciplinary programme that couples condensed-matter theory with modern machine-learning methodology to accelerate the discovery of functional materials and pharmaceuticals. Education & Affiliations: Fellow of Gonville and Caius College, Cambridge Research Fellow, Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge Research Interests: Conduit’s work spans two major themes. The first is strongly correlated quantum matter , where he employs quantum Monte-Carlo techniques to explore itinerant ferromagnetism, superconductivity and few-fermion systems, often in collaboration with ultracold-atom experiments. The second is AI-driven materials & drug discovery , where his group develops the Alchemite™ probabilistic deep-learning platform to impute sparse, noisy experimental data and design new alloys, superalloys, concrete formulations and therapeutic candidates. Projects have led to the experimental validation of five proprietary alloy families and are now commercialised through the spin-out Intellegens . Publication Trends: His 2022-2025 output demonstrates a strategic shift toward large-scale, multi-task deep learning deployed on industrial data sets—ranging from 3-D woven composites and superalloy microchemistry to concrete strength and nicotine pharmacokinetics—while maintaining foundational contributions to quantum many-body theory and metamaterial design roadmaps. Scientific Awards: No awards are listed in the supplied material. Funding & Commercial Impact: Conduit has secured substantial industrial funding ( Rolls-Royce, Johnson Matthey, AstraZeneca, Unilever, etc.) to translate AI predictions into certified materials and drug candidates. The Alchemite engine is now embedded in industrial R&D workflows for aerospace alloys, battery electrodes and pharmaceutical formulations. Teams & Facilities: He leads an active research group within the TCM theory division, maintains close ties with the Cavendish’s ultracold-atom experimental programme, and collaborates globally through the OPTIMADE consortium for materials data interoperability.

Frédéric Segondsمشاهده پروفایل

استاد

• Product Lifecycle Management
• Additive Manufacturing
• Design for Additive Manufacturing
• +۳ مورد دیگر

Frédéric Segonds is a Full Professor at Arts et Métiers Institute of Technology (ENSAM) in Paris, France, working at the Design and Innovation Laboratory (CPI/LCPI, EA3927). His academic career spans from Professor Agrégé in Mechanical Engineering (2005-2011) to Maître de Conférences (2012-2022), and finally to Professor des universités since 2022. He holds a PhD in Industrial Engineering from Arts et Métiers ParisTech specializing in Design Sciences and obtained his HDR (Habilitation à diriger des recherches) in 2018 from Grenoble Alpes University. His educational background includes: PhD in Industrial Engineering from Arts et Métiers ParisTech, specialty Design Sciences HDR (Habilitation à diriger des recherches) from Grenoble Alpes University (2018) Graduate of Arts et Métiers and ENS Cachan (2001-2005) Professor Segonds' research focuses on the intersection of digital engineering and product innovation. His primary expertise lies in Product Lifecycle Management (PLM), Additive Manufacturing, and Design for Additive Manufacturing (DFAM), particularly in early design stages. He investigates how digital tools can enhance collaborative design processes and optimize knowledge management in engineering contexts. His research has significant industrial applications with companies including Thalès, Airbus, Dassault Systèmes, Lacoste, Eurostep, Keonys, Add-Up, and Safran. His publications consistently address challenges in integrating PLM systems with emerging manufacturing technologies. The recurring themes across his work include innovative design methodologies, knowledge management optimization, and the development of digital tools for product innovation. His research bridges theoretical frameworks with practical industrial applications, demonstrating strong industry-academia collaboration. Professor Segonds serves as an elected member of the International Federation for Information Processing (IFIP) WG5.1 and leads the Master's Degree program (Mastère Spécialisé) on PLM and BIM called IngéNUM (Management and Digital Engineering for Products and Buildings). He actively supervises PhD students with the following current projects: Emma TALEC (2021-2024, Saint Gobain Research): Development of a multidisciplinary and collaborative upstream design method that takes into account customer perception Jean-René CAMARA (2020-2023, CAPGEMINI): Knowledge Management optimisation in design Marine CATEL (2020-2023, Cartier): Creation of an employee experience design methodology Orphé CATHARIA (2020-2023, SNCF Gares & Connexions): BIM Mixed Digital Models for stations Asset Management At the Design and Innovation Laboratory (CPI) in Paris, Professor Segonds leads research initiatives that translate academic findings into practical industrial solutions. His laboratory maintains strong partnerships with major industrial players, ensuring that research remains relevant to current engineering challenges while pushing the boundaries of digital product innovation.

Tom Smekensمشاهده پروفایل

پژوهشگر

• Public Health
• Biostatistics
• HIV/AIDS Research
• +۳ مورد دیگر

Tom Smekens is the departmental statistician within the Department of Public Health at the Institute of Tropical Medicine, Antwerp, Belgium. He is actively involved in research projects related to public health, particularly focusing on HIV prevention, infectious disease epidemiology, and statistical analysis of health data. His work spans multiple countries including Belgium, the Democratic Republic of Congo, Nigeria, and others in Africa. Smekens' research interests lie at the intersection of biostatistics and public health, with a strong focus on HIV/AIDS prevention (including pre-exposure prophylaxis or PrEP), infectious disease transmission dynamics (such as SARS-CoV-2), and health disparities among key populations like sexual and gender minorities and sex workers. His methodological expertise includes latent class analysis, cohort studies, and mathematical modeling to inform public health interventions. His recent publications (2023-2024) demonstrate a consistent focus on HIV prevention strategies in Belgium and Africa, utilizing diverse data sources such as insurance claims, community clinic records, and cohort surveys. Key themes include identifying priority groups for PrEP, analyzing barriers to HIV testing, and assessing the impact of public health interventions on disease transmission. Smekens has contributed to several major research projects, including: Support in getting insights in SARS-CoV-2 transmission dynamics in Brussels region (2020-2021), focusing on contact tracing and cluster detection. PrEP_PROMISE: Optimise PrEP to Maximise Impact (2019-2023), a project aimed at optimizing pre-exposure prophylaxis for HIV prevention among key populations in Belgium. HERMETIC: Using mathematical modelling to determine the number and characteristics of people living with undiagnosed HIV (2015-2019), to inform targeted HIV testing strategies. These projects were funded by organizations including the Research Fund - Flanders and Flanders Innovation & Entrepreneurship. As a core member of research teams working on HIV and infectious diseases, Smekens collaborates with multidisciplinary groups across Belgium and internationally, particularly in Africa. His statistical expertise is integral to the design, analysis, and interpretation of complex public health data in these collaborative efforts.

Tan Chenمشاهده پروفایل

استادیار

• Robotics
• Nonlinear Control
• Legged Locomotion
• +۵ مورد دیگر

Tan Chen serves as Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University, where he directs the Robotics, Locomotion, and Applied Control (RoLAC) Lab. His research bridges robotics, nonlinear control, and AI with applications in healthcare and smart manufacturing. His educational background includes: PhD in Aerospace and Mechanical Engineering, University of Notre Dame (2021) MS in Mechanical Engineering, Shanghai Jiao Tong University (2016) MEng in Optimisation et Automatisation des Processus Industriels, Mines Douai (2014) BS in Mechanical Engineering, Shanghai Jiao Tong University (2013) Chen's research focuses on legged locomotion systems where he develops novel control frameworks integrating geometric nonlinear methods with machine learning. His work spans rehabilitation robotics, collaborative robots for industrial applications, and learning-based control systems. Current projects include Human Locomotion analysis, FractionalNet dynamics modeling, and tethered robotics for complex environments. The RoLAC Lab maintains advanced facilities including GoFish quadruped robot, Ecer humanoid robot, and custom biped platforms. His publication trends show increasing integration of AI with traditional control theory, particularly in motion planning for legged robots and human-robot collaboration systems. Recent work demonstrates significant advancements in robust control for uncertain terrains and industrial assembly tasks. Notable scientific achievements include: Ralph E. Powe Junior Faculty Enhancement Award (2024) NSF CRII Award (2024) ICC Achievement Award for bipedal locomotion research (2024) DAAD AInet fellowship for Postdoc-NeT-AI in robotics Eiffel Scholarship recipient during French studies Chen actively advises multiple PhD students including Shivayogi Akki, Anders Smitterberg, and Dhanush Biligiri while securing competitive grants from NASA and NSF. His NASA-funded project with Prof. Steven Elmer focuses on human locomotion modeling, and NSF support enables fundamental research in robotic control systems. He mentors students through Michigan Tech's Summer Youth Program and maintains strong industry connections through advisory roles and collaborative projects. The RoLAC Lab operates as a multidisciplinary research hub with facilities including GoFish quadruped robot, Ecer humanoid platform, 3D printers, and instrumented treadmill systems. Recent acquisitions like the Ecer humanoid robot (June 2025) enable new research directions in whole-body control and human-robot interaction.

• Mechanism analysis and damage modelling for composites
• Additive manufacturing/3D printing of continuous fibre reinforced composites
• Topology optimisation and structural design of composites
• +۳ مورد دیگر

Dr. Yuan Chen serves as an Assistant Professor at Southern University of Science and Technology in the School of System Design and Intelligent Manufacturing. He obtained his PhD in Aerospace Engineering from the University of Sydney in 2019 and completed postdoctoral research there before joining SUSTech in 2022. Education: PhD in Aerospace Engineering, University of Sydney (2015-2019) ME in Mechanical Engineering, Hunan University (2012-2015) Dr. Chen's research focuses on composite materials and advanced manufacturing. His work spans multiple interconnected areas including: Mechanism analysis and damage modeling for composites Additive manufacturing of continuous fiber reinforced composites Topology optimization and structural design of composites Multiscale modeling and experimental techniques Design and intelligent manufacturing of innovative metacomposites Non-destructive testing methods for composite structures His recent publications demonstrate a strong focus on 3D printing of carbon fiber composites, mechanical metamaterials, and structural optimization. The research shows progression from fundamental mechanical analysis of composite structures toward advanced manufacturing techniques and innovative material designs with specialized properties like negative Poisson's ratios and thermal-dimensional stability. Scientific Awards: Best Oral Presentation, 6th International Conference on Material Strength and Applied Mechanics (2023) Pengcheng Peacock Plan, Shenzhen Government (2022) Travel Award, Multidisciplinary Digital Publishing Institute (2022) Best Oral Presentation, 4th International Conference on Material Strength and Applied Mechanics (2021) Young Scientist Medal, International Association of Advanced Materials (2021) World's Top 2% Scientists (2024) Dr. Chen serves as Editor-in-Chief for Advanced Manufacturing: Polymer & Composites Science and is on the editorial boards of several other journals. He has been supported by multiple prestigious grants including the National Natural Science Foundation of China, National Key Research & Development Program of China, and Guangdong University Key-Area Special Program. He is actively involved in mentoring students and has established the Chen Garden research group focusing on advanced composite materials. Dr. Chen maintains strong international collaborations with researchers in Australia, the UK, Germany, and other countries, and is a member of several professional societies including the Royal Aeronautical Society and the European Materials Research Society.

Daniel J Pooleمشاهده پروفایل

مدرس ارشد

• Multidisciplinary Optimisation
• Wind Energy
• Global Optimisation
• +۶ مورد دیگر

Dr Daniel J Poole is a Senior Lecturer in the School of Civil, Aerospace and Design Engineering at the University of Bristol , UK. His research focuses on computational fluid dynamics (CFD), multidisciplinary optimisation, and renewable energy systems, particularly in wind farm control and aerospace design.

Egon Perilliمشاهده پروفایل

دانشیار

• 2D/3D quantitative imaging of bone structure and biomaterials
• Micro-computed tomography (micro-CT)
• Digital volume correlation (DVC)
• +۶ مورد دیگر

Associate Professor Egon Perilli is a biomedical engineer and imaging scientist based at Flinders University’s Medical Device Research Institute (College of Science and Engineering). He additionally holds an Affiliate Lecturer appointment in Anatomy & Pathology at the University of Adelaide and an Honorary Fellowship in Medicine at the University of Melbourne. His career spans prestigious European institutions—University of Antwerp and Istituti Ortopedici Rizzoli in Bologna—before establishing a prominent research programme in Australia. Education & Training Post-Doctoral Researcher, SkyScan (now Bruker micro-CT) & Visionlab, University of Antwerp, Belgium, 2007–2008 Scientific Researcher, Medical Technology Laboratory, Istituti Ortopedici Rizzoli, Bologna, Italy, 2002–2007 Research Focus Associate Professor Perilli’s work integrates state-of-the-art in vitro and in vivo micro-computed tomography with digital volume correlation and experimental biomechanics to investigate bone structure–function relationships. His primary application areas are osteoporosis and osteoarthritis, where he quantifies micro-architectural deterioration, evaluates implant fixation strategies, and explores 3-D-printed biomaterials. A particular emphasis is placed on translating high-resolution imaging data into predictive models of fracture risk and implant longevity. Recent Publication Trends Between 2019 and 2025, his output reveals an intensified focus on (i) cementless orthopaedic implants and their mechanical environment, (ii) time-elapsed micro-CT to capture failure mechanisms under physiological loads, and (iii) additive-manufactured Ti–6Al–4V components with controlled porosity. These works collectively advance personalised orthopaedics and evidence-based implant design. Awards & Leadership Past President (2018-2021), Australian & New Zealand Orthopaedic Research Society (ANZORS) ANZORS Secretary (2015-2018) Council Member, International Federation of Musculoskeletal Research Societies (IFMRS), since 2018 Supervision & Grants He currently supervises PhD and Honours projects in bone biomechanics, micro-CT instrumentation, and osteoarthritis. His mentees have garnered major accolades, including ANZORS PhD Oral Presentation Awards, Best Student Publication Awards, Commonwealth Scholarships, and international travel bursaries from ESB and WCB. He reviews for ARC, NHMRC, Wellcome Trust, and leading orthopaedic journals, indicating sustained grant and editorial engagement. Laboratory & Collaborations His team operates within the Flinders Medical Device Research Institute, leveraging micro-CT systems, mechanical testing rigs, and custom software for digital volume correlation. Active collaborations span national synchrotron facilities and international partners in Belgium, Italy, and the United States, fostering a multidisciplinary environment that bridges engineering, medicine, and materials science.

• Quantum computation
• Quantum algorithms
• Quantum simulation
• +۳ مورد دیگر

Dr. Yuval Rishu Sanders is a Senior Lecturer at the School of Computer Science within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). He is affiliated with the Centre for Quantum Software and Information (QSI), where he conducts cutting-edge research in quantum computing and quantum information theory. Dr. Sanders holds a PhD from the University of Waterloo, Canada, and has established himself as a prominent researcher in the quantum computing field with numerous high-impact publications. Dr. Sanders' academic journey began with a Bachelor of Science (First Class Honours) from the University of Calgary in 2008, followed by a Master of Science from the same institution in 2011. He completed his Doctor of Philosophy at the University of Waterloo in 2016. His career progression includes positions as a Research Associate at Macquarie University (2016-2021) and at UTS (2021-2022), before becoming a Permanent Faculty member at UTS in September 2022. Dr. Sanders' research focuses on the theoretical foundations of quantum computing, with particular expertise in quantum algorithms, quantum simulation, and quantum error correction. His work addresses fundamental questions about the computational advantages of quantum computers over classical systems, with a special emphasis on developing practical quantum algorithms for real-world applications. He is particularly interested in improving the efficiency and accuracy of quantum simulations, developing better methods for quantum state preparation, and establishing rigorous computational cost models for quantum algorithms. Dr. Sanders has made significant contributions to the field of quantum linear systems solvers, quantum measurement theory, and quantum resource theories. His research statement emphasizes the need for reliable computational cost analysis to determine when quantum computers will outperform classical computers for useful tasks. Analysis of Dr. Sanders' publication record reveals a consistent focus on advancing the theoretical underpinnings of quantum computing. His most recent work (2024-2025) centers on improving quantum simulation techniques through better product formulae, while his earlier work (2018-2022) demonstrates expertise across multiple quantum computing subfields including quantum algorithms for fermionic systems, quantum error characterization, and quantum measurement theory. A notable trend in his research is the development of more efficient quantum algorithms that reduce resource requirements while maintaining accuracy, which is crucial for near-term quantum applications. Dr. Sanders serves as an Associate Editor for the IEEE Transactions on Quantum Engineering since February 2023, demonstrating his standing in the quantum computing research community. His publication record includes articles in prestigious journals such as PRX Quantum, Physical Review Letters, and New Journal of Physics, with significant citation counts indicating the impact of his research. Dr. Sanders is actively involved in funded research projects that advance quantum computing theory and applications. His current projects include 'Building the Theoretical Foundation of Refinement Techniques for Quantum Programming' (2025-2027), 'The QB-suite: a framework for quantum algorithm design and benchmarking' (2024-2027), and 'Quarkov Decision Processes' (2023-2027). He has also contributed to significant projects such as 'Tools for fault-tolerant resource estimation' (2022-2025) and 'Defence acquisition optimisation using quantum algorithms' (2021-2024). His research vision includes developing software tools that can automate the analysis of quantum computations, potentially enabling a 100,000-fold speedup in the design iteration process for quantum applications. As a member of the Centre for Quantum Software and Information at UTS, Dr. Sanders collaborates with a multidisciplinary team of researchers working on various aspects of quantum computing. His research group focuses on developing theoretical frameworks and practical tools for quantum algorithm design, with particular emphasis on making quantum computing more accessible and efficient. Dr. Sanders' work bridges theoretical quantum computing with practical applications, contributing to the broader goal of realizing useful quantum advantage.

Ahad Ramezanpourمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Heat Transfer
• Fluid Mechanics
• +۹ مورد دیگر

Ahad Ramezanpour is an Associate Professor of Computational Fluid Dynamics at Anglia Ruskin University, within the Faculty of Science and Engineering's School of Engineering and the Built Environment. With over fifteen years of postdoctoral industry and academic teaching and research experience, he serves as a Senior Fellow of Advanced-HE and is a Chartered Engineer with the Institute of Mechanical Engineers (IMechE). Ahad also holds leadership positions as vice-chair of the South Essex Area IMechE Committee and previously served as deputy head of school, leading engineering at ARU for over three years. His educational background includes: PhD in Heat exchanger optimisation from Anglia Ruskin University Certificate for Senior Leader's Masters Degree PG Cert in Higher Education, Learning and Teaching from Anglia Ruskin University MSc in Energy Conversion from Urmia University Bachelor's degree in Aerospace Engineering from Tehran Polytechnic Ahad's research focuses on computational fluid dynamics, thermodynamics, heat transfer, and fluid mechanics, with particular emphasis on sustainability and energy/water conservation projects. His work spans multiple domains including heat exchanger optimization, turbocharger efficiency, water-saving technologies, and energy-efficient building systems. He has developed expertise in digital twins for energy/water savings, data analysis, automation, and dashboard development. His interdisciplinary approach combines theoretical modeling with practical applications to address real-world engineering challenges. His recent publications demonstrate a strong trend toward practical applications of fluid dynamics in sustainability-focused projects, particularly in water conservation technologies, automotive engineering (turbocharger optimization), and thermal management systems. These works show increasing collaboration with industry partners and other academic institutions. His notable recognitions include: Senior Fellow of the Higher Education Academy (SFHEA) Chartered Engineer with the Institute of Mechanical Engineers (CEng IMechE) Member of Heat Exchange Action Group (HEXAG) Member of regional IMechE committee Two patents for innovative engineering solutions Ahad has demonstrated significant success in securing research funding, serving as PI and Co-I for successful FP7 and H2020 grants. His major projects include the FP7 REVIVAL project (as Co-PI responsible for optimizing reversible inflow valves in oil production, reducing carbon footprint in water/gas separation), the H2020 Propelair project (as PI for designing domestic air-assisted/water-saving toilet systems that save up to 30% of domestic water usage), and an Innovate UK bid for a smart bathroom using integrated water/energy recovery. With over £1.3 million secured through the SME Instrument Horizon 2020 for commercialization of ultra-low flush Propelair toilet (with £200K for ARU) and £290K for ARU from the FP7 Revival EU project, his research has substantial commercial and environmental impact. His multidisciplinary experience across industry, academia, and business development gives him a unique ability to communicate with industrial collaborators. He has excellent experience in innovation management and development, having worked with many innovators throughout his career. His work bridges theoretical research with practical applications, particularly in sustainability-focused engineering solutions.