جست‌وجوی استاد و پژوهشگر

• Naval architecture
• Ship design methodology
• Submarine design
• +۵ مورد دیگر

Professor David Andrews is Professor of Engineering Design in the Department of Mechanical Engineering at University College London (UCL). A globally recognised authority on naval architecture and ship design methodology, he has held continuous academic appointments at UCL since 1980, punctuated by distinguished service in the UK Ministry of Defence where he rose to Director of Frigates and Mine Countermeasures. Since 2000 he has occupied the Chair in Engineering Design at UCL, leading major research initiatives funded by EPSRC, ONR and the EU, and forging strategic industrial partnerships. Education Bachelor of Engineering, UCL (1970) MSc Naval Architecture, UCL (1971) PhD “Synthesis in Ship Design”, UCL (1984) Research Focus Professor Andrews is acknowledged as the world-leading expert in naval ship design methodology, with seminal contributions to early-stage design processes, submarine architecture, trimaran/multi-hull vessels, and distributed ship service systems. His pioneering Design Building Block approach and SURFCON CAD tool have been integrated into industry-standard platforms such as PARAMARINE. Current work addresses energy balance frameworks, computer-aided sketching, and philosophical foundations of engineering design. Across more than 150 publications, a clear trajectory emerges: from fundamental design theory through tool development to practical application in warship, submarine and advanced multi-hull projects. Recent outputs (2021-2024) emphasise automation of early-stage synthesis, network-based modelling of complex distributed systems, and integration of operational availability considerations into concept design. Honours & Awards Fellow of the Royal Academy of Engineering (2000) Fellow of the Royal Institution of Naval Architects (RINA) Fellow of the Society of Naval Architects and Marine Engineers (SNAME) William Froude Medal, RINA (2020) – highest award David W Taylor Medal, SNAME (2021) – lifetime contribution Advising & Grant Leadership Since flexible retirement in 2012 he continues to lecture and supervise MSc projects in Naval Architecture, Marine Engineering and Submarine Design CPD courses. He has led or co-led research grants exceeding £2 million from EPSRC, EU and industry (BAE Systems, Rolls-Royce, BMT, Dstl). These projects have funded numerous CASE studentships and collaborative PhD programmes that bridge UCL and industrial stakeholders. Research Team & Industrial Links Professor Andrews heads the Design Research group at UCL, mentoring successive MoD Professors of Naval Architecture and maintaining active Memoranda of Understanding with BAE Systems and other maritime primes. He chairs the tri-annual International Marine Design Conference’s Design Methodology Panel and has delivered keynote addresses worldwide, uniquely representing non-US expertise at successive US Navy Ship Design Process Workshops.

Suhyb Salamaمشاهده پروفایل

دانشیار

• Remote sensing of water quality
• Hydrological and water-resources management
• Radiative transfer modelling
• +۶ مورد دیگر

Suhyb Salama is Associate Professor of Remote Sensing of Water Quality and Water Resources Management at the Department of Water Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, the Netherlands. His research integrates radiative-transfer physics, machine-learning analytics and multi-sensor satellite data to unravel hydrological and water-quality processes from micro-scale spectroscopy to meso-scale land–atmosphere interactions, directly supporting UN Sustainable Development Goals 6 and 14. Education: PhD in Civil Engineering, Katholieke Universiteit Leuven, Belgium (2003) MSc in Hydraulic Engineering (magna cum laude), KU Leuven (1999) BSc in Civil Engineering, Damascus University, Syria (1993) Research interests: Salama’s scholarly work spans remote sensing of biogeophysical variables, spatiotemporal modelling of suspended sediments and algal blooms, radiative-transfer theory across visible to microwave domains, development of smartphone-based water-quality apps, detection of floating plastic litter, and assessment of groundwater–vegetation feedbacks. He combines optical, thermal and microwave observations with physical and data-driven models to deliver actionable information on water scarcity, pollution extremes and climate-change impacts. Recent publication trends (2023-2025): His latest articles focus on machine-learning quantification of estuarine sediment variability, advanced detection of floating plastics, smartphone calibration for citizen-based water-quality monitoring, spectral-textural mining mapping, and analytical derivation of water-clarity time series from Sentinel-2 imagery. Collectively these works push toward operational, open-source solutions for high-frequency, basin-scale water-quality monitoring and UN SDG reporting. Editorial & professional service: Salama serves as topical editor for the journal Remote Sensing (2020-2024) and has chaired sessions on long-term earth-observation of suspended particulate matter. He actively collaborates across Europe, Africa and Asia on projects that merge remote sensing, hydrodynamic modelling and capacity development. Teaching & capacity building: He teaches MSc courses on optical and microwave remote sensing for water resources, supervises MSc and PhD research, and champions problem-based learning that equips students with enterprising skills to tackle complex water and climate challenges.

• Applied linguistics
• Foreign-language pedagogy
• Digital technology in language learning
• +۳ مورد دیگر

Mariola Jaworska is a full professor of linguistics at the University of Warmia and Mazury in Olsztyn , Poland, where she serves within the Institute of Linguistics, Department of Applied Linguistics , housed in the Faculty of Humanities . Actively supervising doctoral candidates, she is currently responsible for one PhD student and welcomes both Polish and international applicants to her research group. Her academic formation culminated in a Doctor of Humanities in linguistics , complemented by extensive research and teaching experience. Research interests revolve around the intersection of applied linguistics, foreign-language pedagogy and digital technologies . She focuses on: Optimisation of language-learning processes through digital tools; Individual learner differences and learning strategies; Acquisition of foreign languages by adolescents with dyslexia; Learner autonomy and personalised instruction; Assessment and inclusion of students with special educational needs; Specialist communication in business and professional contexts. Across nearly two decades of publication (2007-2025), her work consistently explores how affective, cognitive and contextual variables shape language learning, with a pronounced emphasis on inclusive methodologies and technology-enhanced instruction. Scientific recognition is evidenced by a Google-Scholar h-index of 4 and 41 citations, alongside authorship of the 2018 monograph „Nauczanie i uczenie się języków obcych młodzieży z dysleksją” and numerous peer-reviewed articles in Polish, German and English. Doctoral supervision & grants: Currently supervising 1 doctoral student; Actively recruiting both domestic and international PhD candidates; Confirms institutional funding and laboratory infrastructure are available to support doctoral projects. Her research environment is embedded in the well-resourced Department of Applied Linguistics, which provides digital laboratories and specialist software for empirical studies on language acquisition, inclusive pedagogy and technology-mediated learning.

John McCallمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Nature-inspired Computing
• +۵ مورد دیگر

Professor John McCall is a distinguished academic and researcher at Robert Gordon University's School of Computing, Engineering & Technology, where he previously served as Head of School. He currently serves as Director of the National Subsea Centre, leading initiatives to accelerate energy transition through smart technologies applied to industrial and environmental challenges in subsea and related marine sectors. With over 25 years of research experience in nature-inspired computing and artificial intelligence, Professor McCall has established himself as a leading expert in optimization algorithms and explainable AI. Professor McCall's research interests span data science, artificial intelligence, nature-inspired computing, and optimization, with significant applications in energy transition and subsea technologies. His work bridges theoretical foundations with practical implementations, having founded two spinout companies that deliver real-world optimization solutions to industry. He leads both the Complex Optimisation Research Group and the Computational Intelligence Research Group, where his team explores cutting-edge approaches to solving complex computational problems. Analysis of Professor McCall's recent publication record (2023-2025) reveals a strong focus on explainable AI, particularly in the context of evolutionary computation and metaheuristics. His research demonstrates an increasing emphasis on practical applications in energy systems, transportation, and subsea technologies, reflecting his commitment to addressing real-world challenges related to climate change and industrial transformation. The interdisciplinary nature of his work is evident in publications spanning computer science, operations research, renewable energy, and transportation planning. Lead of the Computational Intelligence Research Group ResearcherID: G-1423-2011 Scopus Author ID: 36797474900 ORCID: https://orcid.org/0000-0003-1738-7056 Professor McCall is actively involved in mentoring the next generation of researchers, currently supervising multiple PhD students across diverse topics including explainability of non-deterministic solvers, optimization of electrical machines, and computational intelligence applications in hydrocarbon systems. His research is supported by numerous grants from industry and government sources, with projects totaling millions of pounds focused on solving challenges in energy transition and smart technologies. At the National Subsea Centre, Professor McCall leads a multidisciplinary team working on digital twin technologies, subsea AI applications, and data-driven solutions for the energy sector. His work emphasizes collaboration between academia and industry to develop transformative solutions that address both current challenges and future opportunities in the subsea domain.

• Computational Intelligence
• Control Theory
• Fuzzy Logic
• +۷ مورد دیگر

Dr. Atakan Sahin is a researcher at Robert Gordon University's School of Computing, Engineering & Technology, affiliated with the Complex Optimisation Research Group. His work focuses on computational approaches to energy system optimization and industrial process control. His educational background includes a PhD in Pure and Applied Chemistry from University of Strathclyde (2016-2020), an MSc in Control and Automation Engineering from Istanbul Teknik Üniversitesi (2014-2016), and a Bachelor's degree in the same field from the same institution (2009-2014). His doctoral research addressed monitoring complex nonstationary industrial processes. Dr. Sahin's research spans Computational Intelligence, Control Theory, and Fuzzy Logic applications with emphasis on Statistical Process Control and Machine Learning. His current work through the D4NZ project optimizes energy grids for renewable integration, focusing on multi-objective criteria including cost and robustness in offshore wind farm infrastructure. His recent publication output demonstrates active contribution to optimization research, particularly in renewable energy systems where computational methods solve complex engineering challenges. The 2024 conference paper on wind farm cable layouts represents practical application of his optimization expertise. Dr. Sahin maintains active research funding through the Scottish Government's Energy Transition Fund and collaborates internationally, as evidenced by recent conference participation in Austria. His work bridges theoretical computational methods with practical energy infrastructure challenges, supporting the UK's net-zero emissions targets through advanced optimization techniques.

• Work and non-work domain interactions
• Boundary management strategies
• Flexible work arrangements
• +۷ مورد دیگر

Dr. Carys Chan is a Senior Lecturer in the Department of Management at Griffith Business School, Griffith University. Her research program investigates how work and non-work domains interact, with particular focus on boundary management strategies, flexible work arrangements, and occupational stress across diverse professions. She serves as HDR Convenor and Lead Coordinator of the Enabling Women Mentoring Program, and is an active member of the Centre for Work, Organisation and Wellbeing. Dr. Chan earned her PhD in Organisational Behaviour & Human Resources from Australian National University (2014-2018) and a BCom(Hons) in Finance & Management from the same institution (2010-2013). She previously held positions as Lecturer in Organisational Psychology at Griffith University's School of Applied Psychology and as Lecturer in Management at Royal Melbourne Institute of Technology University. Her research focuses on work-life integration, with particular emphasis on boundary management strategies and occupational stress across diverse professions. Dr. Chan's work has established that self-efficacy is a critical psychological mechanism linking organisational support to positive work-family outcomes. Current projects examine tech-enabled inclusion for neurodiverse employees, return-to-work pathways for cancer survivors, and post-pandemic impacts of flexible work arrangements, reflecting her commitment to addressing contemporary workplace challenges through evidence-based research. Dr. Chan's publication record shows a strong focus on workplace wellbeing and work-life integration, with increasing attention to post-pandemic workplace dynamics and technology-mediated work. Her research spans both theoretical advances in understanding work-life dynamics and practical applications for improving employee wellbeing across multiple sectors including healthcare, education, and diverse professional contexts, demonstrating a clear trajectory toward increasingly impactful and interdisciplinary scholarship. Dr. Chan has received numerous prestigious awards for her research excellence: 2022 Emerald Literati Outstanding Paper Award 2022 ANZAM-EMJ ECR Award 2023 GBS PVC Excellence of an ECR Award 2024 ANZAM Conference - Organisational Behaviour Stream Best Reviewer Award Named among 122 most influential Asian Australians in 2022 As an active researcher, Dr. Chan has secured over A$3.8 million in competitive external funding since 2022, including ARC Discovery and Linkage grants examining precarity in Australia's youth workforce and optimising healthcare worker wellbeing. She currently supervises multiple doctoral students across projects related to workplace wellbeing, diversity, and work-life integration, with a focus on practical applications and evidence-based interventions that address real-world workplace challenges. Dr. Chan is an active member of the Centre for Work, Organisation and Wellbeing, contributing to research that bridges theoretical understanding with practical workplace applications. Her work emphasizes collaborative approaches, with partnerships spanning academic institutions, industry organizations, and government bodies to address critical workplace challenges at the intersection of work, wellbeing, and diversity.

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.

Jens Geislerمشاهده پروفایل

استاد

• Control Engineering
• Modeling and Simulation
• Wind Turbine Control
• +۳ مورد دیگر

Prof. Dr. Jens Geisler serves as Professor of Control Engineering, Modelling and Simulation at Flensburg University of Applied Sciences' Department of Energy and Biotechnology since March 2020. His career bridges academic research and industrial wind energy applications with expertise in multivariable control systems and dynamic modeling. His educational background includes: Dipl.-Ing. (FH) in Mechanical Engineering and Computer Science from Osnabrück University of Applied Sciences M.Sc. in Mechatronic Systems Engineering from Osnabrück University of Applied Sciences Geisler's research spans advanced control methodologies for renewable energy systems, specializing in wind turbine grid integration and elastic multibody dynamics . Core competencies include optimal control algorithms, real-time numerical simulation, and microcontroller implementation for industrial applications, with significant contributions to self-optimizing mechanical systems and rail vehicle guidance technologies. His 2022-2025 publications reveal a strategic research trajectory toward AI-enhanced state estimation and automated observer design, emphasizing practical validation with real-world measurements while simplifying complex aerodynamic models for control engineering applications in wind energy systems. No scientific awards were documented in the provided sources. Teaching responsibilities encompass Energy Sciences, Mechanical Engineering, and System Technology programs, with industry-focused curriculum development. No student advisement or grant information was disclosed in available materials. Geisler maintains active research collaborations through projects including the SFB614 'Self-optimising systems in mechanical engineering' and the RailCab initiative, alongside extensive industry experience developing grid-support control systems for wind turbines at Senvion GmbH and DEIF Wind Power.