جست‌وجوی استاد و پژوهشگر

Francesco Lecceseمشاهده پروفایل

دانشیار

• Environmental Technical Physics
• Building Physics
• Energy-efficient Buildings
• +۵ مورد دیگر

Francesco Leccese is Associate Professor of Environmental Technical Physics at the University of Pisa’s Department of Energy, Systems, Land and Building Engineering and serves as Vice-Rector (Pro-Rettore) for Construction and Real Estate since 2022. He has been a full-time faculty member since 2006 and leads the Lighting and Acoustics Laboratory. Education PhD in Energetics, University of Pisa, 2002 Laurea (MSc) in Civil Engineering (Buildings), University of Pisa, 1997 Research Interests Professor Leccese’s research spans the entire spectrum of Environmental Technical Physics . His core themes include: Physical-technical performance of opaque and glazed building-envelope components Thermal, visual and acoustic comfort in indoor environments Energy performance of buildings and HVAC systems Human exposure to physical agents at workplaces Environmental pollution from anthropogenic and natural sources Smart monitoring, IoT and data-driven control for energy savings He combines advanced experimental measurement campaigns with modelling and simulation, leading to over 200 scientific publications and a co-owned national patent for an innovative illuminating device for radiodiagnostic stations. Recent Publication Trends Between 2023 and 2025 his work has concentrated on urban overheating mitigation , textile-based solar shading , thermal resilience of building envelopes , and integrated indoor-environmental-quality (IEQ) assessment . These studies often merge on-site infrared thermography, sensor networks and occupant-centred data analysis to optimise both energy demand and human comfort. Scientific Awards & Patents Co-owner, National patent for an illuminating device for radiodiagnostic reporting stations Institutional Service & Grants President, Joint Council of the Master’s programmes in Structural & Building Engineering and Civil Infrastructure & Environmental Engineering (since 2021) Member, Doctoral School of Energy, Systems, Land and Construction Engineering (since 2015) Member, School of Engineering Council (since 2022) Head, Lighting and Acoustics Laboratory, School of Engineering (since 2006) Laboratory & Teams Professor Leccese directs the Lighting and Acoustics Laboratory at the School of Engineering, where interdisciplinary teams of researchers and graduate students conduct experimental and simulation studies on lighting, acoustics and environmental physics.

Benedikt Wirthمشاهده پروفایل

استاد

• Optimisation and calculus of variations
• image processing
• scientific computing
• +۹ مورد دیگر

Prof. Dr. Benedikt Wirth is a Professor of Mathematics at the University of Münster, Germany, affiliated with the Institute for Analysis and Numerics within the Department of Mathematics and Computer Science. He is an active researcher and educator specializing in optimization and calculus of variations, with significant contributions to mathematical imaging and shape analysis. His research interests include image processing, scientific computing, numerical analysis, optimization, shape spaces, geodesics in shape space, variational methods, elastic deformation, and optimal transport. Wirth has developed innovative mathematical frameworks for shape analysis, particularly focusing on Riemannian metrics for shape spaces and variational approaches to shape comparison and optimization. His recent publications (2023-2025) demonstrate continued leadership in mathematical optimization, with particular focus on PET reconstruction, dimension reduction techniques, manifold embeddings, and branched transport theory. His work bridges theoretical mathematics with practical applications in medical imaging and computer vision, showing particular strength in connecting geometric analysis with computational methods. CRC 1450 - A05: Targeting immune cell dynamics by longitudinal whole-body imaging and mathematical modelling CRC 1450 - A06: Improving intravital microscopy of inflammatory cell response by active motion compensation EXC 2044 - C1: Evolution and asymptotics EXC 2044 - C2: Multi-scale phenomena and macroscopic structures EXC 2044 - C3: Interacting particle systems and phase transitions EXC 2044 - C4: Geometry-based modelling, approximation, and reduction Prof. Wirth actively supervises numerous bachelor's and master's students, with over 40 theses completed under his guidance since 2015. His teaching portfolio includes courses on inverse problems, numerical methods for partial differential equations, shape spaces, optimization, and optimal transport. He has consistently maintained an active research program while contributing significantly to the education of the next generation of mathematicians.

• Theoretical Chemistry
• Quantum Chemistry
• Computational Chemistry
• +۶ مورد دیگر

Yoshifumi Nishimura is an Assistant Professor at Waseda University’s Research Institute for Science and Engineering and concurrently serves in Tokyo University of Science’s Faculty of Science, Division of Applied Chemistry. He completed both his bachelor’s (2008) and doctoral degrees (2013) in chemistry at Nagoya University, followed by post-doctoral research at National Chiao Tung University, Taiwan, and a project-researcher position at the Institute for Molecular Science. Education: Doctor of Science, Nagoya University, 2013 Bachelor of Science, Nagoya University, 2008 Research Interests: Nishimura develops linear-scaling quantum chemical methodologies, especially the divide-and-conquer density-functional tight-binding (DC-DFTB) approach, enabling million-atom simulations on supercomputers. His work spans proton-transfer dynamics in water, ice and proteins, CO₂ absorption chemistry, battery electrolytes, photochemical events in retinal proteins, and growth mechanisms of carbon nanotubes and graphene nanoribbons. Awards: CSJ Presentation Award, Chemical Society of Japan, 2017 President’s Award, Nagoya University, 2008 Software & Leadership: He is the lead developer of the open-source DCDFTBMD package, which has been optimised for the K-computer and Fugaku, and he serves on the editorial committee of the 分子シミュレーション学会 journal “アンサンブル” and on organising committees of domestic theoretical-chemistry conferences.

• Computer Science
• Algorithmic Game Theory
• Combinatorial Optimization
• +۵ مورد دیگر

Professor Piotr Krysta is a faculty member in the Department of Computer Science, affiliated with the research groups on Algorithms, Complexity Theory and Optimisation, and Economics and Computation. His work spans theoretical and applied domains in algorithmic design and economic systems. University of Liverpool (implied by context, though not explicitly stated) His research interests include: Approximation Algorithms Combinatorial Optimization Algorithmic Game Theory Computational Complexity Optimization in Network and Economic Systems His recent publications focus on blockchain mechanisms, combinatorial constraints in delegation, and optimization techniques in graph theory. Funded by UK and German research councils, his work bridges computational hardness with economic applications. Scientific awards include: Best paper award for Track C of 39th ICALP (2012) Emmy Noether Fellow (DFG, 2004–2008) He has served on program committees for major conferences, collaborated internationally, and contributed to journals like Electronic Commerce Research and Applications . His teaching involves supervising theses on algorithmic challenges and mechanism design.

Stuart Burgessمشاهده پروفایل

استاد

• Mechanical Engineering
• Spacecraft Design
• Biomechanics
• +۵ مورد دیگر

Professor Stuart Burgess serves in the Department of Mechanical Engineering at the University of Bristol, where he has worked since 1997 following roles at the European Space Agency and Cambridge University. His career spans spacecraft mechanism design, biomechanical systems optimization, and elite sports engineering collaborations. Research focuses on efficiency modelling of mechanical systems across structures, mechanisms, buildings, and transport systems. Key specializations include: Design and optimization of robotic joints and limbs Bio-inspired engineering systems Solar array deployment mechanisms for satellites Chain drive systems for competitive cycling Industrial projects involve the British Olympic Cycling Team, Triumph, Jaguar, MOD, and British Aerospace. His 2019 IMechE James Clayton Prize recognized transformative contributions to UK mechanical engineering science, particularly spacecraft design for ESA and Olympic cycling innovations. IMechE James Clayton Prize (2019) - £10,000 award for major contributions to mechanical engineering science Current engagements include a 2021 Visiting Fellowship at Clare Hall College, Cambridge, and ongoing biomechanics research with national sports organizations. Collaborative projects emphasize practical applications in aerospace, sustainable transport, and athletic performance enhancement.

Tanja Susanna Pyhäjärviمشاهده پروفایل

استاد

• Forest genomics
• Population genomics
• Genomics of adaptation
• +۷ مورد دیگر

Tanja Susanna Pyhäjärvi is a Professor in the Department of Forest Sciences at the University of Helsinki , Finland, and a core member of the Viikki Plant Science Centre (ViPS) . She supervises doctoral candidates in the Doctoral Programme in Plant Sciences and leads an internationally recognised research group in forest evolutionary genomics. Research interests span forest genomics, population genomics of adaptation, conifer life-history trait evolution, and conservation of forest genetic resources. Her group integrates large-scale genomic data with ecological and quantitative genetic approaches to understand how Scots pine and other conifers adapt to environmental change. Recent publications (2024–2025) focus on methodological advances in exome capture for large conifer genomes, genomic consequences of polyploidy and introgression, the spatial genetic structure of continuous pine populations, and theoretical aspects of inbreeding depression as an evolutionary strategy. Grants & projects: Future Forests: underpinnings of genetic adaptation – Jane and Aatos Erkko Foundation, 2025–2029 (Project Director) TreeBio – Centre of Excellence in Tree Biology – Academy of Finland, 2024–2026 (Project Director) EcoRaMa – Academy of Finland Centre of Excellence, 2023–2027 (Project Director) GENEOPIN – Genetic determination of embryo fate in multi-embryonic Scots pine seeds – Academy of Finland, 2022–2026 (Project Director) Professional service: Member of the editorial board for Molecular Biology and Evolution ; host of international visiting scholars at the University of Helsinki; member of the Finnish National Advisory Board for Genetic Resources (2022–2027).

• Respiratory Medicine
• Chronic Obstructive Pulmonary Disease
• Dry Powder Inhaler Technology
• +۵ مورد دیگر

Iris van der Ham is an active Dutch researcher whose scholarship bridges respiratory medicine and biomedical engineering. Over the past five years she has co-authored six peer-reviewed articles that collectively investigate the optimisation of dry-powder inhaler use in COPD patients, the clinical and economic consequences of inhalation errors, and the fundamental behaviour of endothelial cells on micro-structured substrates. Her work is embedded in large international consortia, most notably the multi-country PIFotal study. Research Interests Respiratory medicine, with a focus on chronic obstructive pulmonary disease (COPD) Dry-powder inhaler (DPI) technology and technique optimisation Peak inspiratory flow assessment and its clinical implications Health-economic evaluation of COPD management Endothelial cell biology and cell–material interactions Across her recent publications, a clear trend emerges: translating technical aspects of inhaler performance—such as peak inspiratory flow and inhalation errors—into measurable impacts on patient health status, exacerbation risk, and healthcare expenditure. Complementing this translational focus, her 2020 study in Heliyon delves into how topographical cues at the microscale direct endothelial-cell phenotype and contact guidance, underscoring her dual expertise in clinical respiratory research and biomedical engineering. Scientific Impact Although specific awards are not listed, the research has garnered significant scholarly attention: her papers have accrued between 13 and 20 Scopus citations each, been downloaded over 100 times per article in Pure repositories, and have been referenced in clinical guidelines and picked up by news outlets and social media platforms (Twitter, Facebook, Mendeley). Collaborations & Networks Van der Ham collaborates with an extensive international network spanning the Netherlands, Australia, Spain, Poland, Italy, the UK, and beyond. Frequent co-authors include J. W. H. Kocks, S. Bosnic-Anticevich, M. T. Leving, and J. C. de Sousa, among many others, reflecting her embeddedness in multi-disciplinary research initiatives.

• Dynamic Optimisation
• Optimisation under Uncertainty
• Combinatorial Optimisation
• +۷ مورد دیگر

Dr. Joan Alza Santos is an early-career Research Fellow at the School of Computing, Engineering, and Technology within Robert Gordon University (RGU). She is affiliated with the Complex Optimisation Research Group and contributes to RGU's research themes in "Environment, Energy & Sustainability" and "Living in a Digital World." Her work bridges academic research in dynamic optimization with practical applications in sustainable logistics and other real-world domains. Dr. Alza Santos completed her educational journey with: BSc (Hons) in Computer Engineering from Universidad del País Vasco (University of the Basque Country), 2013-2017 Postgraduate Certificate from Robert Gordon University, 2018-2021 PhD in Computing from Robert Gordon University, completed in January 2025 with no corrections required - a rare distinction Her research focuses on addressing fundamental challenges in dynamic optimization. Dr. Alza Santos has made significant contributions to the field through three key innovations: developing a fitness landscape rotation framework for dynamic benchmarking, introducing the concept of "elusivity" to quantify algorithmic adaptability over complete restart, and creating methods for generating realistic synthetic instances from real-world logistic data. Her work aims to bridge the gap between academic research and practical applications, particularly in sustainable logistics where optimization under uncertainty is critical. Dr. Alza Santos's publication record shows a consistent focus on dynamic optimization problems, particularly in combinatorial spaces. Her research trajectory demonstrates progression from theoretical foundations of dynamic permutation problems to increasingly practical applications, culminating in methods for generating realistic benchmarks from real-world data. A notable trend in her work is the development of metrics like "elusivity" that provide quantitative ways to evaluate the true adaptive challenge in dynamic optimization problems, moving beyond simplistic representations of dynamism. Her scientific recognition includes: Membership in the International Graduate Student Research Cohort (2024) Presentation at the Arctic Circle Assembly (2024) PhD defense with no corrections required (2025) - noted as a rare distinction As an early-career researcher, Dr. Alza Santos actively supervises research projects and serves as a Demonstrator for "Applied Data Science" and "Data Visualisation" modules. Her industrial collaborations span multiple sectors including energy, transportation, and environmental sustainability. She has worked on projects evaluating offshore wind farm impacts, developing visualization tools for fleet management, simulating transportation demand, optimizing cargo transportation, creating VR flooding simulations, reviewing childhood obesity data, and developing predictive maintenance platforms for the oil and gas industry. Dr. Alza Santos leads research within the Complex Optimisation Research Group at RGU, where she continues to develop innovative approaches to dynamic optimization problems. Her current work focuses on applying simulation-optimization techniques to address real-world challenges, particularly in sustainable logistics. She is actively seeking new collaboration opportunities with both academic researchers and industry partners to expand the impact of her work on society and the economy.

• Combinatorial Optimisation
• Explainable AI
• Metaheuristics
• +۷ مورد دیگر

Dr. Lee Christie is a Research Fellow at Robert Gordon University's School of Computing, Engineering & Technology, where he conducts research in optimization and artificial intelligence. He is affiliated with the Complex Optimisation Research Group and maintains connections with the National Subsea Centre through his research on net-zero operations. His educational background includes: BSc (Hons) in Computer Science from Robert Gordon University (2003-2007) MSc in Information Engineering (Distinction) from Robert Gordon University (2009-2011, part-time) PhD in Computational Intelligence from Robert Gordon University (2011-2016) Dr. Christie's research primarily focuses on combinatorial optimization, structure learning, and blockchain technologies. He investigates how to make non-deterministic solvers more transparent through trajectory mining and feature extraction. His work bridges theoretical optimization techniques with practical applications in transportation systems (particularly connected autonomous vehicles), renewable energy (wind farm optimization), and supply chain management. He has published extensively on explainable metaheuristics, with a growing emphasis on making optimization algorithms interpretable for end-users while maintaining effectiveness. His recent publications (2021-2025) demonstrate a clear research trajectory toward explainable AI for optimization algorithms, with applications spanning transportation systems, renewable energy infrastructure, and complex supply chains. These works showcase his ability to translate theoretical advances into practical solutions for real-world problems with societal impact. Dr. Christie has secured research funding for projects including the A.R.T. Forum NSR (2019-2022), which developed implementation roadmaps for automated road transport in the North Sea Region. He teaches programming for business analytics courses and actively contributes to the Aberdeen Python User Group as a steering committee member. His academic service includes supervision of PhD students, with Dr. Martin Fyvie recently completing a dissertation on 'Explainability of Non-Deterministic Solvers' under his guidance as second supervisor. Dr. Christie maintains active collaborations with researchers including John McCall, A.-C. Zăvoianu, and A.E.I. Brownlee, resulting in consistent publication output across reputable venues in evolutionary computation and artificial intelligence.

• Evolutionary Computation
• Multi-Objective Optimization
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Ciprian Zavoianu is an academic researcher at Robert Gordon University (RGU) in the School of Computing, Engineering & Technology. He leads the Net Zero Operations research programme at the National Subsea Centre and is affiliated with the Complex Optimisation Research Group. His work focuses on applying artificial intelligence, particularly evolutionary computation algorithms, to solve complex real-world optimization problems with practical engineering applications. Dr. Zavoianu earned his academic qualifications from West University of Timisoara, Romania (BSc and MSc in Computer Science) and Johannes Kepler University Linz, Austria (PhD in Computer Science, 2015). His doctoral research focused on enhancing multi-objective evolutionary algorithms for computationally-intensive optimization problems. His primary research interests include: Evolutionary Computation Multi-Objective Optimization Data Mining & Machine Learning (particularly for surrogate modeling) Timetabling and Rostering Parallel/Distributed Computing Dr. Zavoianu's recent publications (2021-2025) demonstrate a strong focus on applying optimization techniques to transportation systems, electrical machine design, and sustainable energy solutions. His work consistently addresses the challenge of computationally expensive optimization through innovative surrogate modeling approaches, enabling practical applications of evolutionary algorithms to real-world engineering problems. He has secured multiple research grants including 'Data For Net Zero' and 'Ferry Passenger and Freight Modelling for Shetland,' demonstrating the practical relevance and industry applicability of his research. Dr. Zavoianu actively supervises five PhD/EngD students across diverse topics including predictive analytics for subsea installations, optimization of electrical machines, and operations optimization for harbor operations. His supervision approach emphasizes bridging theoretical algorithm development with practical implementation in engineering contexts. His laboratory work is centered around the National Subsea Centre, where he leads the Net Zero Operations research programme, focusing on sustainable solutions for the energy transition through advanced computational methods.

Izabela Lubowieckaمشاهده پروفایل

استاد

• Biomechanics
• Computational Mechanics
• Medical Device Optimization
• +۲ مورد دیگر

Prof. Izabela Lubowiecka serves as a Professor at the Department of Structural Mechanics within the Faculty of Civil and Environmental Engineering at Gdańsk University of Technology. Her office is located in the Main Building (room 467A) with contact details including email lubow@pg.edu.pl and phone (58) 348 64 08. She maintains an active research profile with current projects and recent publications through 2025. Her research spans computational biomechanics with specific focus on abdominal wall mechanics, hernia repair systems, and temporomandibular joint analysis. She integrates structural engineering principles with medical applications through advanced computational modeling, uncertainty quantification, and machine learning techniques. Key methodologies include Self-Organising Maps for biomechanical data clustering and digital image correlation for in vivo strain analysis, targeting improvements in medical device design and surgical outcomes. Recent publications (2023-2025) demonstrate consistent interdisciplinary work bridging engineering and clinical medicine. Core themes include mechanical compatibility optimization of hernia implants, failure analysis of surgical mesh systems, and machine learning applications for identifying biomechanically similar tissue regions. This research emphasizes patient-specific modeling through uncertainty quantification and sensitivity analysis to address clinical challenges like hernia recurrence. Prof. Lubowiecka secures significant research funding through national programs: Mechanics of anterior abdominal wall in optimisation of hernia treatment : OPUS project (UMO-2017/27/B/ST8/02518) since 2018 3D-JAW : TMJ modeling for dental applications (POIR.04.01.02-00-0029/17-00) since 2017 Geometric-strength analysis of historical carpentry joints : OPUS project (UMO-2015/17/B/ST8/03260) since 2016 She leads a research team collaborating with medical professionals on translating computational biomechanics into clinical solutions for hernia repair and dental prosthetics, with emphasis on practical implementation of research findings.

Jaume Fitó-De-La-Cruzمشاهده پروفایل

دانشیار

• Energy efficiency
• Multi-source district heating and cooling systems
• Hybrid energy networks
• +۵ مورد دیگر

Dr. Jaume Fitó-De-La-Cruz is an Associate Professor at Université Savoie Mont Blanc, where he is affiliated with Polytech Annecy Chambéry engineering school and the LOCIE (Laboratory of Optimisation of Energy and Industrial Processes). He holds a position in CNU Section 62 - Energy, Process Engineering, and maintains an active research program focused on multi-source energy networks and sustainable energy systems. His research interests span energy efficiency, multi-source district heating and cooling systems, hybrid energy networks, energy management optimization, exergy and exergoeconomic analyses, thermodynamic processes, and waste heat recovery. Dr. Fitó-De-La-Cruz has developed innovative approaches for assessing the flexibility potential of interconnected energy networks and has pioneered multi-criteria assessment methods for projects involving multiple stakeholders. Analysis of his recent publication record (2020-2024) reveals a strong focus on district heating networks, waste heat recovery systems, and the integration of demand-side management strategies into energy system design. His work consistently applies comprehensive 4E (energy, exergy, economic, environmental) analysis frameworks to evaluate energy systems, with particular attention to multi-stakeholder projects where different parties have competing objectives. Dr. Fitó-De-La-Cruz teaches Applied Mechanics, Structural Mechanics, Climate Engineering, and Building Information Modeling at Polytech Annecy Chambéry. He has co-developed OMEGAlpes, an open-source optimization tool for district-scale energy planning, and has published extensively on topics related to energy transition and decarbonization strategies for urban energy systems. His research demonstrates how consideration of demand-side management during initial design phases can lead to more efficient system sizing and reduced investment costs. As a member of LOCIE, Dr. Fitó-De-La-Cruz contributes to research on energy system optimization, working closely with industrial partners and other academic institutions on projects related to waste heat valorization, renewable energy integration, and the development of more sustainable urban energy networks.

Renatas Kizysمشاهده پروفایل

دانشیار

• Asset pricing
• Cryptocurrencies
• Energy economics and finance
• +۶ مورد دیگر

Renatas Kizys serves as Associate Professor in Finance and Deputy Head (Research) of the Department of Banking and Finance within Southampton Business School at the University of Southampton. His academic leadership spans research strategy and doctoral supervision in quantitative finance disciplines. His educational background includes: BA and MA in Economics from University of Vilnius, Lithuania MSc and PhD in Economics from University of Alicante, Spain Advanced Studies Program in International Economic Policy Research at Kiel Institute for World Economy, Germany Dr. Kizys' research program integrates financial theory with real-world market phenomena, focusing on asset pricing anomalies, cryptocurrency valuation mechanisms, energy finance dynamics, and environmental risk quantification. His work examines how macroeconomic variables, climate factors, and corporate governance structures influence financial markets and investment outcomes, with particular emphasis on portfolio optimization under uncertainty. Recent publications (2022-2024) reveal strong interdisciplinary convergence between finance, environmental science, and policy studies. Key trends include climate variables' impact on sovereign bonds, energy price cycles in M&A activity, corporate board diversity effects on environmental performance, and pandemic-related market volatility patterns across sectors. Scientific recognition includes: P.K. Woolley Research Fellowship at University of York He actively mentors PhD candidates with successful placements at Durham University, University of Portsmouth, University of Sussex, Yorkshire Building Society, Tianjin University of Commerce, and Africa Centre for Energy Policy. His teaching portfolio includes Quantitative Research in Finance (MANG6008) and Introduction to Finance (MANG6295) at postgraduate level. Dr. Kizys contributes to the Centre for Digital Finance and Centre for Empirical Research in Finance and Banking, collaborating on projects at the intersection of computational methods and financial market analysis.

• Labor Economics
• Public Policy Evaluation
• Digital Transformation
• +۵ مورد دیگر

Patrick Arni is a Senior Lecturer at the University of Bristol's School of Economics, specializing in empirical public policy analysis and applied microeconometrics with applications in digital transformation, labor markets, education, health, and social policy. Education: PhD in Economics from HEC Lausanne PhD program at Swiss National Bank Study Center Gerzensee Master's degree from University of Zurich Additional studies at University of Geneva Visiting scholar at UC Berkeley's Center of Labor Economics Visiting scholar at Tilburg University His research centers on labor economics and policy evaluation , with growing emphasis on digital transformation's impact on skill demand . Methodologically, he employs applied microeconometrics , duration models , and field experiments to analyze job search behavior, unemployment insurance design, and belief formation. A distinctive focus examines how overconfidence and social interactions influence economic outcomes like labor market participation and health behaviors. Recent work reveals two dominant trends: 1) Increasing integration of digital transformation with labor economics to study skill demand dynamics using big data from job vacancies, and 2) Continued refinement of labor market policy evaluation through natural experiments examining benefit sanctions, job search requirements, and counseling effectiveness. Research Grants: NRP 77 "Digital Transformation": The Swiss labour market in the digital transformation (SWISSLAB) [2020-2024] Field Experiments to Optimise Public Employment Service Counselling [2019-2024] Dr. Arni leads the SWISSLAB project constructing large-scale job vacancy databases using text mining and machine learning to analyze digital transformation's labor market effects. He designs field experiments for Switzerland's Public Employment Service and maintains an IZA Research Affiliate status (since 2010) with prior Research Associate role (2011-2016).