جستجوی استاد راهنمای دانشگاهی

• Operational Research
• Combinatorial Optimisation
• Mathematical Programming
• +۷ مورد دیگر

Greet Vanden Berghe is a full professor at the Faculty of Engineering Technology of KU Leuven. She leads the Subdivision Combinatorial Optimisation and Decision Support at Ghent and Aalst Campuses, and contributes to research networks like Leuven.AI and LIM. Her work focuses on industrial combinatorial optimization problems through mathematical programming, heuristics, and decomposition approaches. Affiliations: Numerical Analysis and Applied Mathematics (NUMA), Leuven.AI, LIM Institute Research: Logistics optimization, personnel scheduling, vehicle routing, and algorithm development for industrial decision support Projects: MoVeRS (Modular Vehicle Routing Solver), Trustworthy Algorithms for Industrial Decisions, Fairness in Allocation Problems, and Electric Vehicle Charging Station Optimization Her research emphasizes bridging theoretical advancements with real-world industrial challenges, particularly in maritime logistics, healthcare scheduling, and production planning. She has developed scalable solvers and integrated legal constraints into routing algorithms.

• Artificial Intelligence
• Optimization and Learning
• Vehicle Routing Problems
• +۳ مورد دیگر

Dr. Neil Urquhart is a Lecturer at the School of Computing Engineering and the Built Environment , Edinburgh Napier University , specializing in computational intelligence and optimization. He actively contributes to research in quality-diversity algorithms, vehicle routing problems, and socio-technical systems. Education: PhD in Computing (Edinburgh Napier University) His research focuses on: Evolutionary algorithms for delivery optimization Domain-specific languages for traffic simulation Human-AI trust dynamics in socio-technical systems Multi-stakeholder decision support frameworks Recent publications highlight: Real-world applications of nature-inspired optimization Empirical evaluation of domain-specific languages Micro-depot routing for sustainable logistics MAP-Elites for workforce scheduling Scientific contributions: Elected member of SPECIES (Society for Evolutionary Computing in Europe) Collaborative grants: £7,495 (2025) - VanFill Innovation Voucher £5,000 (2021) - ChargeBreak EV Suitability Tool £5,000 (2018) - Netmedia AI/Optimization Voucher £4,920 (2017) - Bendifa Food Delivery Heuristics £19,807 (2016) - DataLab LarderLoad Food Analytics £5,000 (2015) - Food Services Analytics

• Database Systems
• Information Visualization
• Bioinformatics
• +۵ مورد دیگر

Andrew Cumming is a Researcher at the School of Computing Engineering and the Built Environment , Edinburgh Napier University. His work spans database systems, information visualization, and computational biology, with a focus on SQL education and microarray data analysis. Research Interests Database technologies and SQL optimization Animated visualization for biological time-course data Interactive graphics in virtual reality environments Automated educational assessment systems Genetic algorithms for timetabling Publications (sorted by year) highlight his contributions to: 2014: Polygonal voxel rendering techniques 2007: SQL best practices and data digging methodologies 2005: Dynamic scatter-plot visualization for gene activity 2004: Automated SQL marking systems 2000: Constraint-based timetabling algorithms Contact: A.Cumming@napier.ac.uk | a.cumming@napier.ac.uk

Eric Pinsonمشاهده پروفایل

استاد

• Combinatorial Optimization
• Scheduling Theory
• Transport Logistics
• +۳ مورد دیگر

Eric Pinson is a Professor at the University of Angers (UCO) within the Faculty of Sciences. He holds an HDR (Accreditation to Supervise Research) from Université Pierre et Marie Curie (Paris VI) since 1994 and a PhD in Computer Science and Applied Mathematics from the same institution in 1988. He leads the LigéRO regional project (Loire Operational Research Group) and is an integrated member of LARIS (Angevin Research Laboratory in Systems Engineering), part of team EA-7315. Education: PhD in Computer Science and Applied Mathematics, Université Paris VI, 1988 HDR in Research Supervision, Université Paris VI, 1994 Research Interests: His work focuses on Combinatorial Optimization , particularly in scheduling theory and transport logistics. Key areas include algorithm development for scheduling problems (job-shop, flow-shop, maintenance planning), resource allocation in production systems, and optimization under constraints such as human resource limitations and energy considerations. His contributions span theoretical advancements and practical applications in renewable energy maintenance (e.g., wind turbines) and industrial logistics. Publications Trends: Recent work emphasizes algorithmic efficiency (O(n²) scheduling adjustments, energy function management) and industrial applications (wind farm maintenance, multi-skill project scheduling). Earlier publications established foundational scheduling algorithms and constraint-based optimization techniques. Scientific Awards: No specific awards listed, though his sustained contributions indicate significant recognition within the operations research community. Advising & Grants: Supervised at least one PhD student (Aurélien Froger, 2012–2016). Involved in collaborative projects including the DC-GNN program for real-world data clustering using graph neural networks. Labs & Teams: Primary affiliations include LARIS (Systems Engineering) and the LigéRO network, fostering regional operational research collaboration.

• Mathematics
• Number Theory
• Analysis
• +۴ مورد دیگر

Dr. Joshua Friedman is a Professor in the Department of Math and Science at the United States Merchant Marine Academy (USMMA) since 2005. His research focuses on advanced mathematical analysis including Selberg trace formulas, automorphic forms, zeta functions, and Fuchsian/Kleinian groups. He has contributed to areas such as analytic number theory, spectral geometry, and combinatorial optimization through his publications. Teaching interests span all mathematics courses. Education: PhD and MA in Mathematics (Stony Brook University), BS in Math & Physics (Binghamton University) His work bridges pure mathematics with applied problems like automated timetabling using integer programming. Recent research emphasizes zeta functions, regularized determinants, and scattering theory applications. Notable contributions include studies on Bessel function integrals linked to Mahler measure (2022), deep learning approaches to graph theory problems (2021), and effective bounds in modular form analysis (2019). His 2016 papers address scattering determinants and hyperbolic manifold applications.

Björn Morénمشاهده پروفایل

استادیار

• Mathematical Optimization
• Brachytherapy Treatment Planning
• Radiotherapy
• +۷ مورد دیگر

Björn Morén is an Assistant Professor in the Department of Mathematics at Linköping University, Sweden. He is affiliated with the Division of Applied Mathematics (TIMA), where his research focuses on mathematical optimization applied to brachytherapy treatment planning in radiation oncology. His work aims to improve cancer treatment outcomes through advanced computational models that enhance precision and robustness in radiotherapy. Research Interests: His primary research lies at the intersection of applied mathematics and medical physics. He specializes in developing and analyzing mathematical optimization models for high-dose-rate (HDR) brachytherapy, particularly for prostate and cervical cancers. His work addresses critical challenges such as rotational and positional uncertainties, dwell time optimization, and automated plan validation. He seeks to bridge the gap between manual clinical planning and algorithm-driven optimization to improve dosimetric outcomes and reduce complications. Publication Trends: His recent publications (2021–2025) demonstrate a consistent focus on robust optimization techniques in brachytherapy. Themes include uncertainty mitigation, dosimetric evaluation, inverse planning, and automation in treatment workflows. His interdisciplinary work combines operations research, medical imaging, and clinical oncology, reflecting strong collaboration across physics and medicine. Scientific Awards: No awards or honors are mentioned in the provided text. Advising and Grants: There is no information available about students advised or research grants received. However, his active publication record suggests ongoing funded research and potential mentorship roles within his research group. Labs and Teams: Björn Morén is part of a multidisciplinary research group at Linköping University focused on brachytherapy treatment planning. This group collaborates on developing optimization models for clinical use, working closely with medical physicists and oncologists to translate mathematical innovations into practical healthcare solutions.

Ronni Laursenمشاهده پروفایل

استادیار

• Educational Policy
• School Leadership
• Biopolitical Governance
• +۴ مورد دیگر

Ronni Laursen is an Assistant Professor at the Department of Culture and Learning, Aalborg University, affiliated with The Faculty of Social Sciences and Humanities. They are a core member of the Collaborative Organizational Learning (CO-LEARN) group and part of the SSH Children and Youth Research Network. Their research focuses on educational governance, leadership practices, and the sociopolitical dimensions of education. Key research interests include temporal governance in education, biopolitical analyses of schooling practices, digital transformations (e.g., learning management systems), and policy conflicts involving teachers’ unions. They investigate how temporal structures, digital tools, and economic logics shape teaching practices and school leadership. Recent work explores the erosion of democratic values in Danish schools under policies like the Ghetto Law, the interplay between academic achievement and student wellbeing, and the role of AI in education. Their interdisciplinary approach combines Bourdieusian theory, sociological governance frameworks, and critical policy analysis. Laursen has led projects such as At balancere et lederliv (2025–2027) and co-led the EU-funded Inclusive Education for All Needs (2024–2026). They actively engage in peer reviews for journals like the European Educational Research Journal and present at international conferences, including BELMAS 2025. Notable publications include studies on teacher strategies for digital mandates, temporal governance in preschools, and comparative policy analyses of Denmark and Sweden. Their work bridges theory and practice, addressing urgent issues like AI integration and democratic schooling challenges.

Johannes Schlaichمشاهده پروفایل

استاد

• Integrated Transport Planning
• Traffic Modelling
• Strategic Demand Modelling
• +۳ مورد دیگر

Johannes Schlaich is a Professor of Mobility and Transport at the Berlin University of Technology , with a focus on integrated transport planning, traffic modeling, and digitalization in transport. His research includes strategic demand modeling, shared mobility, and future mobility systems.

Jonathan Thompsonمشاهده پروفایل

استاد

• Graph Theory
• Meta-heuristics
• Scheduling
• +۶ مورد دیگر

Professor Jonathan Thompson serves as Head of School in the School of Mathematics at Cardiff University. He holds multiple administrative roles including Year Three Director of Studies, Chair of School Board, and has significant teaching responsibilities for both undergraduate and postgraduate students. His academic career spans over two decades with previous positions at Edinburgh University (Lecturer in Statistics and Operational Research, 1996-97) and Swansea University (Research Assistant, 1994-96). Dr. Thompson's research focuses on operational research with particular expertise in graph theoretic modelling, meta-heuristics (especially ant systems, genetic algorithms and simulated annealing), and various scheduling problems including examination scheduling, sports fixture scheduling, and manpower planning. His work bridges theoretical computer science with practical applications in healthcare, transportation, and logistics. He has established strong industry connections, having completed projects with WH Smiths, John Menzies, and the International Rugby Board. His research demonstrates consistent evolution from foundational work in graph coloring and ant colony optimization toward increasingly complex real-world applications in dynamic environments. Operational Research group member External funding from Office of National Statistics (2005-2006) Editorial Board member of International Journal of Operational Research Programme Committee member for major conferences (GECCO, PPSN, PATAT) Professor Thompson has successfully supervised numerous PhD students since 2000, with completed theses covering examination timetabling, nurse scheduling, vehicle routing, and other operational research problems. His supervision portfolio reflects the breadth of his research interests, from theoretical graph theory to practical healthcare and transportation applications. He has secured external funding for research projects and maintains active collaborations with both academic and industry partners.

• Financial Accounting
• Management Accounting
• Academic Performance
• +۱ مورد دیگر

Ian Surridge is a Senior Lecturer in the Department of Accounting, Economics and Finance within the Faculty of Business and Law at the University of the West of England, Bristol, specializing in financial and management accounting education and research. His academic credentials include: BSc (Hons) FCA (Fellow of the Institute of Chartered Accountants) PGCE (HE) (Postgraduate Certificate in Education for Higher Education) PhD Dr Surridge's research investigates the correlation between self-efficacy and academic outcomes, while his teaching practice emphasizes Financial Management and Management Accounting with applied industry perspectives from his chartered accounting background. He prioritizes student accessibility by forgoing fixed office hours in favor of individually scheduled meetings via email to accommodate learner timetables.

• Artificial Intelligence
• Data Science
• Information Systems
• +۳ مورد دیگر

Dr. Aldeniz Enverov Rashidov is an Associate Professor at the Technical University of Gabrovo , affiliated with the Faculty of Electrical Engineering and Electronics and the Department of Automation, Information and Control Systems . With a Ph.D. in Industrial Information Systems (2006), he has led the Information Support Sector since 2005 and directed the Center for E-Learning and Distance Education since 2012. Education: M.Sc. in Systems and Management (1996), Ph.D. in Industrial Information Systems (2006) Research interests: AI applications in education, intelligent databases, e-voting systems, web-based information architectures, and industrial cybersecurity His recent 15 publications focus on AI-driven manuscript review algorithms, e-voting security frameworks, and ChatGPT-assisted research methodologies. Notable achievements include IEEE Senior Membership (2024) and developing the UMIS 1.0 university management system. Scientific Awards Senior Member, IEEE Computer Society (2024) Senior Member, IEEE Robotics & Automation Society (2024) He has led 9 internal TU-Gabrovo projects on AI applications and contributed to international collaborations like MechMate (2016-2017). His work emphasizes system intelligence evaluation methodologies and hybrid data structuring models.

Nicolae Constantin Balicaمشاهده پروفایل

استاد

• Otolaryngology
• Head and Neck Surgery
• Surgical Medicine
• +۱ مورد دیگر

Prof. Nicolae Constantin Balica serves as Vice-Dean for the educational process at the Faculty of Medicine, Victor Babeș University of Medicine and Pharmacy Timișoara since April 2020. As a University Professor in the ENT Clinic and PhD supervisor at the Doctoral School of Medicine, he oversees academic scheduling, resource allocation, and examination systems across all study programs. His leadership ensures optimal utilization of teaching facilities and maintains rigorous standards for admission, residency, and thesis evaluations. Specializing in Otolaryngology and Head and Neck Surgery, Prof. Balica integrates clinical expertise with academic administration. He pioneered an algorithmic timetable system maximizing space efficiency across amphitheaters and seminar rooms while implementing a transparent examination framework. His innovations include a centralized question database with automated selection from standardized bibliographies and publicly accessible correction protocols, significantly enhancing assessment integrity. As a PhD supervisor, he mentors doctoral candidates in surgical disciplines through the IOSUD Doctoral School. His administrative contributions focus on continuous improvement of educational infrastructure, including identifying new teaching spaces and refining examination transparency. Prof. Balica remains actively engaged in shaping medical education standards while maintaining clinical responsibilities within the ENT department.

• Library Science
• Information Science

Horst Arend Flemming serves as an Honorary Professor of Library and Information Science at HTWK Leipzig (Hochschule für Technik, Wirtschaft und Kultur Leipzig). Holding the academic title Prof. Dr.-Ing., he contributes specialized expertise to the institution while maintaining his primary professional activities outside the university. His research interests focus on Library Science and Information Science , fields directly aligned with his departmental affiliation. As an honorary professor, he brings practical industry experience to academic instruction and research in information management systems, digital library technologies, and knowledge organization principles. Appointments with Prof. Flemming are available by arrangement, with initial contact preferably made via email. His office hours and specific teaching responsibilities are coordinated through individual scheduling rather than fixed timetables, reflecting the part-time nature of his honorary professorship.

Pieter Vansteenwegenمشاهده پروفایل

استاد

• Public Transportation Optimization
• Metaheuristics
• Demand-Responsive Transport Systems
• +۴ مورد دیگر

Prof. Pieter Vansteenwegen is a full professor at KU Leuven's Faculty of Engineering Science, leading the Centre for Industrial Management/Traffic and Infrastructure (CIB) and chairing the KU Leuven Institute for Mobility (LIM). With a PhD in Operations Research (2008), he works on robust public transport systems, metaheuristics for logistics, and demand-responsive mobility solutions. Chair, KU Leuven Institute for Mobility Program Director, Master of Mobility and Supply Chain Engineering Board member, International Association of Railway Operations Research His research integrates transportation engineering , logistics optimization , and smart mobility systems , focusing on: Demand-responsive public transportation Metaheuristic algorithm development Inventory routing problems Smart waste collection strategies Multi-robot scheduling Recent publications demonstrate expertise in variable neighborhood search , Benders decomposition , and genetic algorithms applied to public transport, satellite scheduling, and circular economy logistics. His work has been cited over 9,400 times (Google Scholar H-index 51). Scientific recognition includes: Multiple IAROR best paper awards Best Reviewer European Journal of Operational Research BIVEC-GIBET PhD awards (2009, 2021, 2023) RASIG-INFORMS Student Paper Prizes He directs KU Leuven's Planning and Operational Research subdivision , serves on faculty councils, and founded spin-off dyNAVic for electronic tourist guides. His teaching portfolio includes courses in Public Transportation Design , Distribution Logistics , and Operational Management .

Lisovenko Iryna Dmytrivnaمشاهده پروفایل

استادیار

• Parallel and Distributed Computing
• GPU Computing
• Automatic Program Parallelization
• +۳ مورد دیگر

Lisovenko Iryna Dmytrivna serves as Assistant Professor in the Department of Computer Systems and Networks at Yuriy Fedkovych Chernivtsi National University since 2002, following her 2000 diploma in Computer Systems and Networks from the same institution. Her professional trajectory includes software engineering at a municipal medical institution (2000–2002) and ongoing contractual collaboration with Elogic Commerce since 2018. Her academic credentials include: Yuriy Fedkovych Chernivtsi State University, Faculty of Physics, Department of Computer Science, specialty "Computer Systems and Networks" (2000) Dr. Lisovenko's research centers on parallel and distributed computing, emphasizing automatic parallelization techniques, GPU-accelerated non-graphical computing, and structural analysis of program intermediate representations. She concurrently investigates specialized computer systems for data stream processing and develops methodologies for enterprise accounting automation, bridging theoretical computer science with business process optimization. Her scholarly output demonstrates sustained innovation in high-performance computing architectures. Analysis of her 15 most recent publications (2012–2021) reveals three dominant research thrusts: GPU-based parallelization (40% of works, including Kalyna encryption and bitonic sorting implementations), algorithmic optimization for diverse hardware (33%, covering sorting networks and structural matrices), and applied systems for real-world problems (27%, spanning smart home control, social media analysis, and enterprise automation). This evolution reflects increasing focus on practical GPU applications while maintaining core expertise in parallel algorithm design. She actively contributes to academic development through teaching Parallel and Distributed Computing, Economic and Legal Aspects of Enterprise Automation, and DevOps/DevNet courses, while authoring 12+ methodological manuals including "Parallel and Distributed Computing: Laboratory Workshop" (2022) and "System Administration of Linux OS" (2021). Her professional development includes certifications in Constitutional Law, Finance and Investment, DevNet Associate, and All Digital Week initiatives (2020–2021).