Slobodan Kalajdzhiski Ph.D. , born in 1976 in Ohrid, is a full-time Professor at the Faculty of Computer Science and Engineering (FINKI) , Ss. Cyril and Methodius University in Skopje, North Macedonia. He coordinates three master-level study programmes: Content-Based Retrieval , Intelligent Information Systems , and Bioinformatics , and is actively involved in teaching and curriculum development. Education: B.Sc. Electrical Engineering – Skopje, 2000 M.Sc. Electrical Engineering – Skopje, 2004 Ph.D. Electrical Engineering & Information Technologies – Skopje, 2008 Research Interests: His research portfolio centres on bioinformatics and systems biology , leveraging data mining and knowledge discovery techniques to analyse complex biological data. He has designed and optimised data-warehouse architectures and developed methodologies for object-oriented analysis and design of large-scale information systems. These interests are tightly coupled with the advanced database courses he delivers at both undergraduate and postgraduate levels. Research Activity & Grants: Over his career he has participated in eight funded research projects and authored more than thirty peer-reviewed papers in international and domestic journals and conferences. While specific article titles are not listed in the supplied text, the thematic focus of these publications aligns with his declared fields of interest, evidencing a sustained contribution to computational biology and data-driven system design. Teaching & Advising: Beyond his professorial duties, he has previously served as demonstrator, junior assistant, and assistant professor, progressively shaping the curriculum in programming languages, object-oriented systems, databases, and information-system design. He currently mentors master students within the specialised programmes he coordinates.
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نمایش ۴۹۶-۵۱۰ از ۵۲۱ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Manuela Battipede is Associate Professor of Flight Mechanics & Control at the Politecnico di Torino , Department of Mechanical and Aerospace Engineering (DIMEAS). Since 2002 she has led research and teaching in aerospace guidance, airworthiness, neural-network-based virtual sensors, and trajectory optimisation, coordinating EU H2020 and Clean Sky projects, industrial airworthiness certification contracts, and supervising PhD students in aerospace engineering. Education & Academic Career Joined Politecnico di Torino as a confirmed Associate Professor (Prof.ssa Associata Confermata). Visiting Researcher, West Virginia University, USA (April–September 2002). Research Interests Her work integrates control theory , flight mechanics , and artificial-intelligence-based sensing to enhance safety and efficiency of air and space vehicles. Key themes include: 4-D trajectory optimisation for climate-neutral aviation. Certifiable virtual air-data systems using neural networks. Flutter suppression and intelligent flight control for fixed-wing and rotary-wing aircraft. Low-thrust orbital mechanics, collision avoidance, and end-of-life disposal for satellites. Lighter-than-air platforms and VTOL hybrid drones for earth-observation and fire-monitoring missions. Scientific Awards & Recognition PoCN – Proof of Concept Network (2015), AREA Science Park, Italy. Regular evaluator for SESAR Joint Undertaking, EU H2020, and European Commission programmes. Doctoral Advising & Funding Since 2011 she has served on the PhD board of the Aerospace Engineering doctorate at Politecnico di Torino, currently supervising: Giorgio Antonio Orlando (39th cycle, 2023–) Gabriele Tarascio (39th cycle, 2023–) She has been Scientific Director of >20 competitively funded projects (EU Clean Sky MIDAS, ESA, MIUR-PRIN, EASA certification contracts, etc.) and commercial consultancy contracts exceeding €3 M. Laboratories & Teams Battipede leads the Modelling, Simulation and Control of Aircraft research group at DIMEAS, managing real-time hardware-in-the-loop test rigs, CubeSat development platforms, and an integrated multi-aircraft simulation laboratory for education and industrial validation.
Murat AYDINمشاهده پروفایل
استادیار
Dr. Murat AYDIN is a full-time Assistant Professor (Dr. Lecturer) at Karabük University, Faculty of Technology, Department of Industrial Design Engineering, where he has also served as Vice-Dean since 2022 and Head of Department since 2021. His entire academic career since 2008 has been spent at Karabük University and briefly at Düzce University. Education PhD in Mechanical Education, Karabük University, 2019 MSc in Mechanical Education, Karabük University, 2009 BSc in Design & Construction Teaching, Bülent Ecevit University, 2006 Associate Degree in Technical Programs, Selçuk University, 2003 Research Interests His work centres on the intersection of digital design and manufacturing, spanning computer-aided design & manufacturing , additive manufacturing , machine learning , image processing , and finite-element analysis . Within these themes he investigates process optimisation, mechanical characterisation of printed parts, formability of sheet metals, and advanced sensing techniques such as digital image correlation. Across 41 publications and 33 conference presentations from 2008 to 2024, a clear evolution is visible: early studies on hydraulic sheet-metal forming have gradually expanded to embrace 3D printing, composite filaments, and machine-learning-driven design optimisation, positioning him at the forefront of Industry 4.0-oriented research. Scientific Recognition & Service Associate Editor, International Journal of 3D Printing Technologies and Digital Industry (2022–present) Editorial board member and frequent organiser of national & international congresses on 3D printing and industrial design Peer reviewer for Journal of Cleaner Production and other leading journals Advising & Funding He currently supervises four master’s students on topics ranging from medical-device prototyping to the use of 3D printing in composite aerated-concrete production. His research has been funded by five competitive grants, including two TÜBİTAK-supported national projects (total ≈ ₺1.8 M) and an EU-UNESCO project on 3D printer design curricula. Laboratory & Team He leads the Additive Manufacturing & Digital Design Laboratory at Karabük University, a facility equipped with multi-material FDM printers, high-resolution DIC systems, and tensile-testing rigs, hosting a multidisciplinary team of graduate researchers and industry collaborators.
Gokhan Serhatمشاهده پروفایل
استادیار
Gokhan Serhat is a tenure-track Assistant Professor at the Department of Mechanical Engineering , KU Leuven, stationed at the Bruges Campus. He conducts research within the Mecha(tro)nic Systems Dynamics Group and the M-Group and maintains a guest-scientist affiliation with the Max Planck Institute for Intelligent Systems. Education: Ph.D. in Mechanical Engineering, Koç University, 2018 (Marie Curie Fellow) M.Sc. in Computational Mechanics, Technical University of Munich, 2013 B.Sc. in Mechanical Engineering, Middle East Technical University, 2011 Research interests span computational mechanics, numerical methods, design & topology optimization, structural dynamics, composite materials, fiber-path optimisation, functionally graded structures, and bio-mechanical/haptic modelling. His work integrates high-fidelity simulation, laminate-parameter techniques, and additive-manufacturing constraints to create lightweight, variable-stiffness composite structures and tactile/biomechanical devices. Recent articles (2022-2025) reveal a strong trajectory in composite optimisation (anisotropic topology, lamination parameters, manufacturability) alongside interdisciplinary forays into biomechanics & haptics (fingertip dynamics, tactile displays, skin simulation). The portfolio is evenly split between computational-method development and application-oriented studies in aerospace, automotive, and human-interaction domains. Scientific recognition: Marie Curie Early-Stage Research Fellow (doctoral training grant) Research funding & leadership: Promoter, Flemish project “Fiber path and topology optimization of 3D printed composites” (2023-2027) Promoter, FWO/Flemish project “Concurrent fiber path and topology optimization of 3D printed composites” (2022-2024) He teaches three courses at KU Leuven Bruges: Structural Dynamics , Aerospace Structures & Lightweight Design and Mechatronic Design , and is an active member of the Faculty Council and the Department Council.
Dr. Eylül Damla Gönül Sezer is an Assistant Professor and current Head of the Department of Industrial Engineering at Yeditepe University, Faculty of Engineering, where she has been a faculty member since 2020. She holds an integrated PhD in Systems Engineering from the same university (2009-2018). Education 2004–2009: BSc, Systems Engineering (English), Faculty of Engineering and Architecture, Yeditepe University 2009–2018: Integrated PhD, Systems Engineering, Institute of Science, Yeditepe University Research Focus Dr. Sezer’s research integrates system dynamics with simulation modelling to tackle complex socio-technical problems. Her core interests include healthcare performance optimisation , environmental sustainability , disaster-economic impact assessment , and industrial systems analysis . She has developed system-dynamics models for clinical laboratory productivity, wastewater treatment networks, marine mucilage mitigation in the Marmara Sea, and macro-economic impacts of the expected Istanbul earthquake. Across her publications (2020-2024), a clear trend emerges: applying dynamic modelling to public-interest problems—ranging from pollution control to earthquake resilience—while validating frameworks and integrating multi-criteria decision tools such as AHP/ANP. This interdisciplinary stance bridges traditional industrial engineering with environmental and health systems. Scientific Awards & Recognition No specific competitive awards are listed in the provided material. Advising & Grants She has supervised five master’s theses (2021-2025) on topics spanning AI-enhanced call-centres, earthquake economic impacts, synthetic-data generation, and Industry 4.0 adoption in the automotive sector. She has participated in four funded projects, including a TÜBİTAK 1001 grant (₺149 700) as principal investigator modelling the economic effects of the anticipated Istanbul earthquake. Additional projects examined marine mucilage impacts on fisheries/tourism and sustainable debris-collection site selection post-earthquake. Laboratories & Teams While no dedicated laboratory name is provided, her affiliation with Yeditepe University’s Department of Industrial Engineering and her role as department head since 2022 position her at the centre of collaborative research clusters in Systems Modelling and Simulation , working with national and international partners on environmental and disaster-resilience projects.
Liz Stuart is a Lecturer in Computing Science at Ulster University's School of Computing , Belfast campus. Her work focuses on health data technologies and user-centered design. Research Areas: Usability Study, Participatory Design, Wearable Technology, Predictive Analytics, Digital Health Interventions Her 2024 publication in JMIR Research Protocol details a co-design methodology for real-time health data capture in epilepsy seizure forecasting. She leads the 2025 EPSRC-funded project "Artificial intelligence To Optimise Seizure Prediction to Empower people with Epilepsy," aiming to develop a minimum viable product for seizure prediction. Contact: l.stuart1@ulster.ac.uk
- Architecture
- Urban Design
- Masterplanning
- +۳ مورد دیگر
Aoife Rath-Cullimore is a Tutor at the Manchester School of Architecture (MSA), a joint institution of Manchester Metropolitan University and the University of Manchester. She concurrently serves as a senior architect and masterplanner at Optimised Environments (OPEN), blending technical expertise with urban, social, and economic contextual analysis. Her professional portfolio includes residential-led mixed-use masterplans, high-density housing, and Higher Education campus projects. Her research interests bridge architecture, urbanism, and environmental sustainability, emphasizing: Integrative masterplanning for urban regeneration Ecologically responsive design strategies Biodiversity enhancement in built environments Socio-technical frameworks for resilient cities She actively studies horticulture (RHS Diploma) and volunteers with Manchester Urban Diggers to advance nature-centric urban futures. Professional collaborations include significant contributions to: Manchester Engineering Campus Development (MECD) Kampus neighborhood revitalization Harvard University campus regeneration (via SASAKI Associates) Design-build projects for community infrastructure in Nakuru, Kenya
Nikolas Kantasمشاهده پروفایل
دانشیار
Dr. Nikolas Kantas is a Reader in Statistics at Imperial College London's Department of Mathematics. He completed his undergraduate studies and PhD at the University of Cambridge's Signal Processing Group. His research focuses on developing numerical methods for complex problems in inference, optimisation, filtering, and control. Research Interests: Kantas specializes in computational statistics and stochastic processes, with expertise in particle filtering, Sequential Monte Carlo, and Markov Chain Monte Carlo methods. His work bridges theoretical foundations with applications in data assimilation, optimization under uncertainty, and high-dimensional statistical modeling. Publication Trends: Recent work (2022-2025) demonstrates strong focus on optimization algorithms, stochastic differential equations, and Monte Carlo methods. Key themes include multi-objective optimization, privacy-preserving algorithms, Langevin dynamics, and distributed computing. Methodological innovations frequently address high-dimensional and real-time computational challenges. Student Advising & Grants: Currently supervises 4 PhD students and has graduated 9 doctoral candidates. Research funding includes JP Morgan AI Faculty Research Awards and support from the National Physical Laboratory (NPL). Academic Leadership: Co-organizes the annual Greek Stochastics workshop on Statistics and Applied Probability. Coordinates PhD programs through the Mathematics Research program, MFC CDT, and Statistics and Machine Learning CDT.
Taavi Lehtoمشاهده پروفایل
دانشیار
Dr Taavi Lehto is an Associate Professor of Nanobiotechnology at the University of Tartu’s Institute of Technology and a part-time Lecturer of Pharmaceutical Biotechnology at the University of Tartu’s Institute of Pharmacy. He also holds a 20 % Senior Research Fellow position at the Karolinska Institutet, Department of Laboratory Medicine, Stockholm. His work centres on developing advanced drug-delivery systems—especially cell-penetrating peptides, lipid nanoparticles and extracellular vesicles—for RNA-based therapeutics, CRISPR/Cas9 and antisense oligonucleotides. Education Doctor of Philosophy (Biomedical Technology), University of Tartu, 2011 Master of Pharmacy, University of Tartu, 2008 Jakob Westholm Gymnasium, 2002 Research Interests Lehto’s research integrates nanomedicine , molecular biotechnology and pharmaceutical sciences to create cell-specific delivery platforms for gene-modulating therapeutics. Key themes include: Design of next-generation cell-penetrating peptides for cytosolic delivery of siRNA, mRNA and antisense oligonucleotides Engineering of lipid nanoparticles and extracellular vesicles to enable tissue-targeted gene editing Chemical optimisation of oligonucleotide cargoes (phosphorothioate, 2′-O-methyl, PMO) for enhanced stability and specificity Pre-clinical validation of splice-switching therapies in models of Duchenne muscular dystrophy, X-linked agammaglobulinemia and fibrosis His current 810 k€ Estonian Research Council project (2023-2027) focuses on scalable formulation technologies for RNA therapeutics and CRISPR/Cas9 systems. Scientific Awards & Recognition Swedish Institute Visby Programme Post-doc Scholarship (2016, 2015) Letter of thanks from Estonian Ministry of Science & Education for supervising an award-winning MSc thesis (2013) Supervision & Funding Lehto leads a vibrant research group comprising one post-doctoral researcher and three ongoing PhD projects. He has successfully graduated four doctoral students and one post-doc, and his projects have received >1.5 M€ in competitive funding from the Estonian Research Council, Evox Therapeutics and the Swedish Institute. Laboratory & Team He heads the Drug Delivery and RNA Therapeutics group at the University of Tartu Institute of Technology and collaborates extensively with the Karolinska Institutet, Ludwig-Maximilians-Universität München, and international COST Actions CA17103 and BM1207.
Shinji Wakao is a full Professor in the School of Advanced Science and Engineering, Waseda University, Japan, where he has served since 1993 and was Dean of the School from 2016 to 2020. Holding doctoral and master degrees in electrical engineering from Waseda, he leads a prolific research group specialising in computational electromagnetics and renewable-energy power systems. Education: Doctor of Engineering, Waseda University Master of Engineering, Waseda University Bachelor of Engineering (Electrical Engineering), Faculty of Science and Engineering, Waseda University Research Interests: His work integrates large-scale numerical electromagnetic field analysis—finite-element and infinite edge-element methods, level-set topology optimisation—with practical power-engineering challenges such as photovoltaic generation forecasting, smart-grid battery scheduling, zero-energy-house design, and electric-machine optimisation. Publication Trends: Recent articles emphasise deep-learning-enhanced PV forecasting (auto-encoders, CNNs, just-in-time modelling) and advanced topology-optimisation techniques (encoder-decoder networks, MMA-accelerated level-set methods) for magnetic shields and motors, reflecting a convergence of machine learning and energy-system science. Scientific Awards: IEEJ Academic Promotion Award (2008) IEEJ Distinguished Paper Award (2008) Committee & Society Roles: He serves on Japanese national committees including METI’s Power Safety Sub-committee and the Cabinet Office’s solar-energy evaluation panels, and is a board member of the Japan Solar Energy Society. Professional memberships include IEEE, IEEJ, JSCES and JSES. Laboratory & Projects: He heads the Wakao Laboratory within Waseda’s Department of Electrical Engineering, conducting projects on smart-grid PV management, magnetic-sensor optimisation for railway signalling, and net-zero-energy building renovation strategies.
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.
- Business Analytics
- Optimization
- Decision Science
- +۷ مورد دیگر
Xin Fei is a Lecturer in Business Analytics at the University of Edinburgh Business School since 2022. Previously, she held the same role at the University of Bristol and was a fellow at the Bristol Digital Futures Institute . Her academic foundation includes a PhD in Operations Research & Management Science from Warwick Business School , supervised by Professor Juergen Branke and Professor Nalan Gulpinar. Current affiliation: University of Edinburgh Business School Prior affiliations: University of Bristol, Bristol Digital Futures Institute Education: PhD in Operations Research & Management Science (Warwick Business School) Xin Fei's research bridges business analytics , optimization , and decision science , focusing on stochastic programming , simulation optimization , and reinforcement learning . Her work develops computationally efficient methods for complex decision problems under uncertainty, emphasizing scenario generation and information collection procedures . Her recent publications in European Journal of Operational Research (ABS 4), IEEE Transactions on Evolutionary Computation (ABS 4), and INFORMS Transportation Science (ABS 3) highlight applications in transportation systems , industrial engineering , and pharmaceutical portfolio planning . Collaborative research includes air traffic management innovations recognized by the Jane's Innovation Award (2019). Teaching highlights include UG: Business Analytics and Information Systems (BUST08032) (2021-present), PG: Principles of Data Analytics (CMSE11432) (2022), and advanced PG courses in Applied Decision Optimisation (2023-present) and Online Learning and Decision Making (2023-present). Administrative roles include PGR Representative for the Management Science and Business Economics Group (2022-2025). Professional Affiliations: Fellowship of the Higher Education Academy The Operational Research Society The Institute for Operations Research and the Management Sciences (INFORMS)
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.
Dr. Viknesh Andiappan serves as Associate Professor in Chemical Engineering and Associate Director of the School of Research at Swinburne University of Technology, Sarawak Campus, within the Faculty of Engineering, Computing and Science. His academic foundation includes a PhD and MEng (Hons.) in Chemical Engineering from The University of Nottingham. PhD in Engineering (The University of Nottingham) MEng (Hons.) in Chemical Engineering (The University of Nottingham) His research pioneers net-zero energy systems through mathematical optimization, focusing on supply chain decarbonization, industrial symbiosis, and sustainable agriculture planning. Recent work integrates carbon accounting with palm oil value chains and biomass-to-energy systems, emphasizing practical implementation in Southeast Asian contexts. Analysis of his 15 most recent publications (2020-2022) reveals a dominant focus on decarbonization strategies (47%), biomass supply chains (27%), and process optimization (26%), with growing emphasis on circular economy applications and multi-stakeholder resource allocation frameworks. Key recognitions include: IBAE Young Researcher of the Year Award IChemE Young Researcher Malaysia Award Finalist (2018, 2019) Heriot-Watt University PRIME Award Finalist (2021) He actively supervises research students in net-zero energy systems while leading industry-relevant projects like the Ministry of Plantation Industries white paper on palm oil recovery strategies. His scholarly service includes editorial roles for Process Integration and Optimization for Sustainability and Frontiers in Sustainability. Though no dedicated lab is specified, his research group operates through Swinburne's School of Research, leveraging institutional facilities for computational optimization and sustainability analysis.
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.