Find Academic Supervisors

• Combinatorial Optimization
• Theoretical Computer Science
• Approximation Algorithms
• +7 more

Tjark Vredeveld is a University Researcher in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), specializing in Combinatorial Optimization. His research focuses on algorithmic design and analysis, particularly in scheduling, approximation algorithms, and discrete optimization problems. His research interests span Combinatorial Optimization , Approximation Algorithms , Scheduling Theory , Local Search Algorithms , Real-Time Scheduling , and Vector Scheduling . These areas are central to theoretical computer science and operations research, aiming to develop efficient algorithms with provable performance guarantees for complex computational problems. The recent articles reflect a strong trend in designing and analyzing approximation algorithms for scheduling and optimization under constraints, including real-time and multidimensional settings. His work often involves proving tight bounds on algorithmic performance and exploring structural properties of combinatorial problems such as equitable Hamiltonian cycles and dynamic pricing models. While no specific scientific awards are listed in the provided text, his publications in high-quality venues like Algorithmica and Discrete Applied Mathematics indicate recognition within the academic community. Vredeveld has been involved in funded research projects, including one receiving over €7 million via Domain Science-KLEIN, highlighting his role in innovative and urgent research. Although no formal students are listed, his collaborations on Ph.D.-level work suggest advisory or mentoring roles. He has co-authored works with prominent researchers such as Nikhil Bansal and Frits Spieksma. He is active within a collaborative research network at TU/e and contributes to both journal and conference publications in theoretical computer science and optimization.

Jing LiuView profile

Research Fellow

• Swarm Intelligence
• Evolutionary Computation
• Optimization Algorithms
• +3 more

Dr. Jing Liu serves as a Research Fellow at the School of Systems & Computing, The University of New South Wales (UNSW) Canberra, located at the Australian Defence Force Academy campus. Her research program focuses on developing advanced optimization algorithms and applying them to complex robotic systems, with particular emphasis on swarm robotics and unmanned vehicle coordination. Dr. Liu's work centers on Swarm Intelligence and Evolutionary Computation , where she develops and enhances nature-inspired algorithms including Ant Colony Optimization, Particle Swarm Optimization, and Bacterial Foraging Optimization. Her research extends these computational techniques to solve challenging problems in Robotics , particularly for Unmanned Aerial Vehicles and multi-robot systems, with a specialized focus on Mission Planning and control in complex environments. She has made significant contributions to robotic swarm shepherding, UAV path planning in obstacle-rich scenarios, and underwater robot navigation. Analysis of Dr. Liu's publication trends reveals a strategic progression from theoretical algorithm development toward increasingly complex real-world applications. Her recent work demonstrates a sophisticated integration of multiple optimization techniques to overcome limitations of single-method approaches, particularly for problems involving dynamic environments, scalability challenges, and complex constraints. The consistent high-impact output across journals like IEEE Transactions on Engineering Management and Swarm and Evolutionary Computation indicates her growing influence in the computational intelligence community. Dr. Liu maintains active collaborations with researchers including Sarker R, Essam D, Elsayed S, Anavatti S, Garratt M, and Abbass HA, suggesting participation in multidisciplinary research teams focused on autonomous systems. Her work at UNSW Canberra, situated at the Australian Defence Force Academy, likely has defense-related applications while also contributing to civilian applications in search and rescue, environmental monitoring, and coordinated autonomous systems.

• Adult Education
• Digital Education
• Educational Technology
• +5 more

Susanne Witt is a Research Associate at the German Institute for Adult Education (DIE), a member of the Leibniz Association. She serves as a Specialist Assistant for the Portals Team in knowledge transfer and works within Research Infrastructures. Her professional contact information includes telephone (+49 228 3294-170), fax (+49 228 3294-399), and email (witt@die-bonn.de), with an ORCID identifier (0009-0000-4155-6927). Her career path includes diverse experiences as a graduate sports teacher (Ruhr University Bochum), French Business Correspondent (ILS Hamburg), Human Resources Specialist (IHK Bonn), and journalist (FJS Berlin). Witt's research interests focus on digital transformation in adult education, with particular expertise in wb-web (a portal for continuing education professionals), EPALE (Electronic Platform for Adult Learning in Europe), Qualidat (research map), library architecture, and online program scheduling. Her work increasingly addresses artificial intelligence applications in education, digital accessibility, and sustainable educational practices. She explores how emerging technologies like ChatGPT and AI tools can be effectively integrated into educational settings while maintaining critical perspectives on their implementation. Her publication portfolio reveals a clear trend toward digital education innovations, with recent work examining AI implementation requirements, prompting techniques, digital accessibility, and the implications of the EU AI Act for educational institutions. These publications demonstrate her evolving focus from foundational digital education topics to cutting-edge AI applications, while maintaining consistent attention to practical implementation challenges and accessibility considerations. Witt actively contributes to editorial work as part of the wb-web and EPALE teams, serving as an EPALE Ambassador. She has moderated and participated in numerous podcasts and discussion formats, particularly the potenziaLLL series, focusing on practical applications of educational theory. Her work often involves thematic dossier curation on critical topics like media literacy, digital teaching methods, and collaborative learning approaches. She has developed significant expertise in digital teaching methodologies, including Barcamps, Design Thinking, Scrum for agile instruction, and technical solutions for hybrid teaching environments. Her research also encompasses critical media literacy, cultural education, health literacy, and food literacy within adult education contexts, demonstrating a comprehensive approach to contemporary educational challenges.

Tom YoungView profile

Associate Professor

• Film Studies
• Screen Production
• Documentary Filmmaking
• +3 more

Tom Young is an Associate Professor in Screen Production and the Discipline Lead in Screen, Film and TV at Flinders University's College of Humanities, Arts and Social Sciences. He serves as Chair of the Board at Channel 44, Adelaide's community television station, and is a Full Member of the Assemblage Centre for Creative Practice Research. Dr. Young holds a PhD, MCA, BCA (Hons), and BA, with additional professional qualifications including a Remote Pilot License (RePL), Aeronautical Radio Operator Certificate (AROC), and Drone Operators Certificate (ReOC). As an innovative educator, Young has revolutionized screen production education through his pioneering long-format honours program where students create feature films or television pilots - a rare offering internationally at this academic level. His research spans Film Studies , Screen Production , and Interdisciplinary Applications , with recent work bridging creative practice and healthcare communication. The Community Voices Program, which he developed, has engaged over 250 students in producing 125+ videos for South Australian not-for-profits, demonstrating his commitment to authentic industry learning experiences. Young's publications reveal a trend toward interdisciplinary collaboration, particularly merging creative film practice with healthcare education. His recent works demonstrate expertise in both traditional film production and innovative applications of visual storytelling in medical contexts, showing increasing focus on practical implementation of educational tools. His significant contributions have been recognized with prestigious awards: CHASS Excellence in Teaching Award for industry engagement (2023) Vice Chancellor's Award for Excellence in Teaching (2023) Flinders University Vice-Chancellor's Innovation in Teaching Award College of Humanities, Arts and Social Sciences Award for Excellence in Teaching ($3,000) (2023) Multiple film festival recognitions including Alternative, Couch, Emerging Artists, and Glenelg Film Festivals Through his leadership in ASPERA (Australian Screen Production Education & Research Association) as Executive Member and Treasurer, Young shapes national screen education policy while maintaining strong industry connections through Frankie Films Pty Ltd. His grant-funded initiatives like the Community Voices Program demonstrate successful integration of student learning with community needs, creating sustainable pathways for graduate employability. Young actively mentors students to develop entrepreneurial skills and professional networks beyond technical filmmaking competencies. His work with the Assemblage Centre for Creative Practice Research fosters collaborative projects connecting screen production with healthcare communication, while his board role at Channel 44 strengthens community television infrastructure. The innovative honours program he developed operates as a professional production studio within the university, providing students with rare opportunities to complete feature-length works in academic settings.

Michael ElberfeldView profile

Professor

• Computer Science
• Theoretical Foundations
• Parameterized Complexity
• +6 more

Prof. Dr. Michael Elberfeld is a faculty member at the Technical University of Central Hesse , affiliated with the Department of Mathematics, Natural Sciences and Computer Science . His research focuses on theoretical computer science, particularly in computational and parameterized complexity, logic in computer science, and algorithmic meta-theorems. Education : Doctorate in Theoretical Computer Science from the University of Lübeck (2012); Diploma (MSc) in Computer Science from the University of Lübeck (2007). His work explores the intersection of graph theory , logic , and space-bounded computation , with groundbreaking contributions to problems on bounded tree-width structures and order-invariant logics . He has developed logspace algorithms for graph canonization and studied succinctness tradeoffs in logical formalisms. Key publications include analyses of parameterized space complexity , algorithmic meta-theorems , and applications to bioinformatics like haplotype inference and network orientation. His research is supported by the European Commission through grants 648276 and P 28699 . He collaborates extensively with researchers such as Martin Grohe , Pascal Schweitzer , and Till Tantau , bridging theoretical logic with practical applications in staff rostering and biological network analysis .

Dilek Günneç DanışView profile

Associate Professor

• Combinatorial optimization
• Network optimization models
• Social network analysis
• +7 more

Dilek Günneç Danış is an Associate Professor in the Industrial Engineering Department at Özyeğin University, Turkey. Her academic work spans network optimization, social network analysis, and humanitarian logistics with applications in disaster management, marketing, and public health. Ph.D. in Operations Management/Management Science, University of Maryland (2012) M.Sc. in Industrial Engineering, Koç University (2007) B.Sc. in Mathematics with Minor in Operations Research, Middle East Technical University (2005) Research Interests : Combinatorial optimization and complex systems Network modeling for information propagation New product development under social influences Humanitarian logistics in refugee crises Disaster mitigation and infrastructure resilience Scientific Contributions : Developed agent-based models for refugee migration paths Created capacitated mobile facility location frameworks Advanced influence maximization algorithms for social networks Optimized disaster response logistics systems Scientific Awards : Best Poster Award (Business Analytics Workshop, 2017) Advised team: Third Place INFORMS Student Competition (2020)

Markus BohlinView profile

Professor

• Applied Artificial Intelligence
• Railway Systems
• Transportation Engineering
• +5 more

Markus Bohlin serves as Professor (on leave) at Mälardalen University within the School of Innovation, Design and Engineering's Division of Product Realisation. He concurrently holds leadership roles as Dean of the School of Business Society and Engineering, Division Manager for Product Realization, and School Director for the INDTECH Industrial Graduate School. His academic credentials include: Doctoral thesis defended at Mälardalen University (2009) Associate professorship (docent) granted at Mälardalen University (2013) Adjunct professorship in rail traffic systems analysis at KTH Royal Institute of Technology (2014) Full professorship in Computer Science with Applied AI focus at Mälardalen University (2019) Bohlin's research centers on Applied Artificial Intelligence across critical infrastructure domains. His primary focus areas include: Railway systems optimization and freight logistics Cyber-physical systems for construction automation Machine learning applications in manufacturing quality control Simulation-assisted decision support systems His work bridges theoretical AI with industrial implementation in transportation, production, and power systems. Recent publications demonstrate a clear trajectory toward integrating machine learning with simulation modeling for real-world problem solving, particularly in railway punctuality optimization, construction site autonomy, and manufacturing defect detection. This interdisciplinary approach consistently targets high-impact industrial applications. Bohlin has held significant leadership positions including: President of the Swedish Operations Research Association (2012-2016) Member of Trafikverket Board on Capacity in Railways Program chair for ICROMA 2019 and multiple national conferences His academic supervision includes 4 completed PhDs, 9 licentiate degrees, and 5 ongoing doctoral candidates. With 20+ years of experience managing organizations up to 60 employees and 40+ projects (including H2020 initiatives), he brings substantial operational expertise to research commercialization. Current leadership roles encompass the Product Realisation division and INDTECH Industrial Graduate School, driving industry-academia collaboration in innovation and engineering.

Kamilla KlefbeckView profile

Senior Lecturer

• Special Education
• Intellectual Disabilities
• Autism Spectrum Disorders
• +6 more

Kamilla Klefbeck serves as a Senior Lecturer in the Department of Special Education at Stockholm University's Faculty of Education, bringing over two decades of practical experience in special education settings to her academic role. Previously on leave from Kristianstad University, she now focuses on advancing teacher professional development in adapted primary education through active research and teaching collaborations. Her academic foundation includes a PhD awarded in June 2022 through the Swedish Research Council-funded Special Education for Teacher Educators (SET) research school, alongside professional qualifications as a social pedagogue, preschool teacher, and special education teacher specialized in intellectual disabilities. This multifaceted background informs her commitment to bridging theory and practice in special education. Klefbeck's research centers on improving educational experiences for students with intellectual disabilities and autism , employing methodologies like lesson study and video feedback to enhance teacher development. Her work emphasizes student engagement , learning outcome optimization , and inclusive pedagogical approaches , with particular attention to collaborative professional development frameworks that transform classroom practices. Analysis of her 25 research outputs (2017-2025) reveals a consistent trajectory toward systematic investigations of lesson study applications, autism-specific interventions, and assessment competency development. Her publications demonstrate increasing international collaboration, methodological sophistication in scoping reviews, and practical translation of research into classroom tools—particularly through video feedback systems and PDSA cycle implementations for neurodiverse learners. She currently leads four research projects including a Japan-Sweden comparative study on lesson study in special education contexts and interventions to enhance teachers' assessment competencies. With 26 documented academic activities including peer-review services for journals like International Journal of Developmental Disabilities and Education Sciences , she actively contributes to scholarly discourse while maintaining strong school partnerships for implementation research. Collaborating closely with local educational institutions and international partners, Klefbeck implements findings through practical frameworks that address student well-being and learning access. Her work directly supports UN Sustainable Development Goal 4 (Quality Education) through evidence-based strategies for inclusive classrooms serving students with complex needs.

Mohamed SallakView profile

Associate Professor

• Reliability Engineering
• Risk Analysis
• Uncertainty Quantification
• +5 more

Mohamed Sallak is an Associate Professor and HDR (Habilitation à Diriger des Recherches) at the University of Technology of Compiègne, where he works in the Department of Computer Engineering within the Heudiasyc Laboratory (UMR CNRS 7253), a joint research unit between UTC and CNRS. His research focuses on dependability assessment of systems under uncertainty, railway systems safety, and predictive maintenance. His primary research interests include: Dependability assessment of systems under uncertainty, particularly using RAMS analysis (Reliability, Availability, Maintainability, Safety) Railway systems safety, including safety studies, railway standards (EN 50126, EN 50128, EN 50129), and risk analysis Predictive maintenance for transportation systems Uncertainty quantification using belief functions theory and evidential networks Human reliability in railway supervision systems His publication record demonstrates consistent contributions to reliability engineering, with over 35 journal articles and 80 conference papers. His recent work shows a strong emphasis on applying advanced mathematical methods to reliability problems in transportation systems, particularly focusing on uncertainty representation and quantification. He frequently publishes in top journals in reliability engineering, risk analysis, and transportation systems, often collaborating with researchers from various French institutions. Dr. Sallak has supervised numerous PhD students whose research spans reliability analysis, predictive maintenance, railway systems safety, and uncertainty quantification. His students have worked on diverse applications including railway systems, transportation networks, and industrial machinery. He has secured significant research funding through multiple projects: Principal Investigator of ANR PRCE MAPSYD project (2018-2021): "Predictive Maintenance of transportation systems under incomplete and imprecise data" Principal Investigator of the regional project ODISYM (2016-2019): "Optimization of Availability of multi-state systems under uncertainty" Principal Investigator of ANR JCJC Récif project (2013-2017): "Belief networks for quantitative evaluation of dependability parameters of railway systems" Member of ANR PRCE DRIFT-HF project (2022-2026): "Digitalization – Risks, (U)ncertainties and Fragilities of Technologies in relation to the Human Factor" Member of the national project "Autonomous Freight Train (TFA)" (2018-2023) Member of the national project "Remote Driving on Rail (TC-Rail)" (2017-2021) He holds significant scientific responsibilities including being responsible for Topic 2 (Data with uncertainty, Bayesian Networks, Evidential Networks) of the International Scientific Coordination Network "Human-Machine Systems in Transportation and Industry (GDR I-HAMASYTI)" since 2014, co-convenor of the Working Group GT: Human-Machine systems of the GDR MACS, and member of the Scientific Council of both the Compiègne University of Technology and the Heudiasyc Laboratory.

Ana MartinsView profile

Assistant Professor

• Industrial Engineering
• Operations Management
• Organizational Communication
• +9 more

Ana Martins is an Assistant Professor at the School of Social Communication, Polytechnic Institute of Lisbon, specializing in Public Relations and Organizational Communication. Her academic work bridges industrial engineering, innovation management, and risk assessment, reflecting interdisciplinary expertise. Current role: Assistant Professor Department: Public Relations and Organizational Communication University: Polytechnic Institute of Lisbon Email: arodrigues@escs.ipl.pt Research focuses on Industry 4.0 , Lean methodologies , and agile product development , with applications in logistics, maintenance, and SME innovation. Recent publications analyze risk models, simulation tools, and collaborative networks. Key trends across her 15 most recent articles include integration of TRIZ , Kano models , and fuzzy logic for process optimization. Publications emphasize sustainability , digital transformation , and reliability engineering in industrial contexts.

• Process planning
• Production optimization and logistics
• Techno-economic optimization
• +5 more

Dejan Lukić serves as Full Professor and Vice-Dean for Investments and Cooperation with Industry at the Faculty of Technical Sciences, University of Novi Sad. He has held progressively senior academic positions since joining the institution in 2000, including Director of the Department of Production Engineering (2021-2024) and Assistant Director (2018-2021). His academic journey began with undergraduate studies in Mechanical Engineering at the same faculty, followed by master's (2007) and doctoral degrees (2012) in specialized production engineering fields. His educational background includes: Bachelor's degree in Mechanical Engineering, Faculty of Technical Sciences (1999) Master's thesis: 'Development of a system for automated design of technological processes for manufacturing plastic injection molds' (2007) Doctoral dissertation: 'Development of a general model of technological preparation of production' (2012) Professor Lukić's research focuses on process planning, production optimization, and techno-economic analysis in manufacturing systems. His work bridges theoretical frameworks with practical industrial applications, particularly in virtual design, CAPP systems integration, and optimization of manufacturing processes. He has made significant contributions to the application of digital technologies in production engineering, including STEP-NC implementation, fuzzy logic for quality control, and collaborative process planning systems. His publication record demonstrates consistent advancement in manufacturing process optimization, with recent work emphasizing multi-criteria decision making, thin-walled structure machining, and digital integration of manufacturing systems. The research trajectory shows evolution from foundational work in traditional process planning toward contemporary applications involving artificial intelligence, collaborative systems, and Industry 4.0 technologies. Professor Lukić has been actively involved in academic service, participating in numerous evaluation committees, professional competitions, and serving as representative of Serbia in the Assembly of the Institute for Materials Testing. His industrial engagement includes consulting on CE/3A product marking, technical system maintenance, and implementation of application software solutions. As an educator and mentor, he has supervised more than 45 undergraduate and master's theses, completed one doctoral dissertation supervision, and currently guides three doctoral candidates. He teaches a comprehensive curriculum spanning process planning, production optimization, logistics, and technological preparation of production across all academic levels. His leadership extends to heading the Master of Professional Studies in Production Engineering program and serving on program committees for multiple scientific conferences and journals in mechanical engineering. Professor Lukić also maintains active industry collaboration through solving professional problems related to product development, manufacturing systems maintenance, and specialized training programs.

Valéria BORODINView profile

Professor

• Semiconductor Manufacturing
• Operations Research
• Production Scheduling
• +4 more

Valéria BORODIN is a Professor at IMT Atlantique, a leading French technological university, based at the Nantes campus. She holds the position of 'Enseignant Chercheur' (Teacher Researcher), indicating her dual role in both academic instruction and research activities within the institution. Her research interests span Semiconductor Manufacturing, Operations Research, Production Scheduling, Predictive Maintenance, Data Analytics in Manufacturing, and Railway Systems Optimization. Dr. BORODIN's work focuses on solving complex scheduling problems in semiconductor manufacturing environments, addressing challenges related to data fragmentation in production processes, and developing optimization models for industrial applications. Her research has practical applications in semiconductor R&D, railway equipment monitoring, and industrial symbiosis. Dr. BORODIN has presented her work at the prestigious Advanced Semiconductor Manufacturing Conference (ASMC) in both 2023 and 2024, with her 2023 paper receiving the Best Paper Award. Her publications demonstrate expertise in semiconductor manufacturing operations, data modeling, and scheduling optimization. Best paper award at ASMC 2023 for 'The impact of data fragmentation on processing time modeling in semiconductor manufacturing' Dr. BORODIN has supervised multiple PhD students throughout her career, including current student Malak Saiem (since 2022) working on railway equipment monitoring. Her former PhD students include Thibault Prunet (2020-2024), Hugo Meunier (2020-2023), Mario Flores-Gomez (2020-2023), Rebecca Clain (2020-2024), Elodie Suzanne (2017-2021), and Alexandre Lima (2015-2019). Her supervision has been supported by various grants including ANR AGIRE, EU project MADEin4, and industrial research agreements with SNCF Réseaux and STMicroelectronics. Her research collaborations include work with prominent academics such as V. Fischer, A. Roussy, C. Yugma, N. Chembu, A. Khemiri, J. van Heugten, Faicel Hnaien, Hichem Snoussi, Nabil Absi, Diego Cattaruzza, Stéphane Dauzère-Pérès, and Agnès Roussy.

Giovanni MazzutoView profile

Associate Professor

• Industrial Engineering
• Digital Twin Technology
• Smart Manufacturing
• +5 more

Giovanni Mazzuto is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences , Università Politecnica delle Marche (UNIVPM). His research focuses on digital twin technology , smart retrofitting , and predictive maintenance for industrial systems, particularly in the oil & gas and food manufacturing sectors. He actively explores the intersection of artificial intelligence , systems modeling , and human-machine integration to enhance operational resilience and sustainability. Research Highlights: • Pioneering work on smart retrofit architectures for industrial equipment • Development of Digital Twin frameworks for production line optimization • Application of association rule mining and machine learning to solve scheduling problems • Analysis of ripple effects in supply chain resilience • Integration of Swarm Intelligence and Fuzzy Cognitive Maps for decision-making systems Key Collaborations: • Contributions to Industry 4.0 and 5.0 initiatives • Development of intelligent mechatronics solutions for oil & gas control valves • Research on agile and flexible manufacturing systems for deformable products • Exploration of cyber-socio-technical systems modeling for complex industrial environments

• Operations Research
• Fuzzy Logic
• Modeling and Optimization
• +3 more

Assistant Professor Tusan Derya is affiliated with Başkent University in the College of Engineering , Industrial Engineering Department . Their research focuses on Operations Research Fuzzy Logic Modeling and Optimization with applications in routing problems and logistics. Their recent publications address variations of the Traveling Salesman Problem (2020-2024), Team Orienteering (2016), and Vehicle Routing (2011) using Mixed-Integer Programming and Fuzzy Logic approaches. They have contributed to Portfolio Optimization models (2024) and Autonomous Distribution Systems (2024).

• Operations Research
• Supply Chain Management
• Mathematical Optimization
• +3 more

Gözde Önder is an Assistant Professor in the Industrial Engineering Department at Başkent University, Ankara. Her academic profile indicates active engagement in operations research with focus on complex optimization problems relevant to transportation and logistics systems. Contact information shows affiliation with the Industrial Engineering Program through university email send@baskent.edu.tr and phone extension 4016. Her research interests concentrate on Operations Research , Supply Chain Management , and Mathematical Optimization with specific emphasis on time-constrained routing problems. Current investigations prominently feature traveling repairman problems, vehicle routing with time windows, and multi-depot optimization systems. Methodologically, she employs integer programming, biogeography-based metaheuristics, and combinatorial optimization techniques to address NP-hard problems in service scheduling and transportation networks. Analysis of her publication timeline reveals consistent scholarly output from 2015 through 2025, with increasing focus on time-window constrained systems and multi-depot extensions of classical routing problems. Her work demonstrates strong collaboration with Prof. İmdat Kara and other researchers at Turkish institutions, primarily published in operations research conferences and journals including Transportation Research Procedia and Journal of the Faculty of Engineering and Architecture of Gazi University. Teaching responsibilities include core industrial engineering courses: OLASILIK VE İSTATİSTİĞE GİRİŞ (Introduction to Probability and Statistics) TEDARİK ZİNCİRİ YÖNETİMİ (Supply Chain Management) YÖNEYLEM ARAŞTIRMASI I & II (Operations Research I & II) İSTATİSTİKSEL ANALİZ (Statistical Analysis) LOJİSTİK YÖNETİMİ (Logistics Management) Professional activities include serving as a reviewer for Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi (Gazi University Journal of Engineering and Architecture) in 2023, indicating active participation in academic quality assurance processes within her field.