جست‌وجوی استاد و پژوهشگر

Dario Šebaljمشاهده پروفایل

استادیار

• Business Informatics
• Natural Gas Supply Chain Optimization
• Machine Learning Applications in Economics
• +۳ مورد دیگر

Assistant Professor Dario Šebalj, Ph.D., works at the Department of Quantitative Methods and Informatics, Faculty of Economics, University of Osijek. Since 2014, he has contributed to teaching courses in Business Simulation Games, Business Intelligence, Data Management, and ICT Project Management. He previously served as a postdoctoral fellow (2020) and secretary of the Alumni EFOS association (2017-2019), and as executive editor of Ekonomski vjesnik (2020-2023). Doctorate (2019): Simulation model of Croatia's natural gas supply chain for cost optimization Research Focus: Machine learning, simulation modeling, energy systems, business analytics, data-driven decision-making Key Projects: Croatian Science Foundation's natural gas supply chain research, two Erasmus+ projects Conference Involvement: Organizing committee for Business Logistics in Modern Management, Interdisciplinary Management Research, KOI; program/scientific committees for IBIMA and EBES His publications span predictive modeling (employee turnover, credit ratings), energy efficiency analytics, and pandemic-era workforce studies. He combines computational methods with economic decision-making frameworks. Scientific contributions include over 20 papers in international journals and conference proceedings, with recent works in Logforum and Ekonomski vjesnik . He applies machine learning and simulation techniques to complex economic systems. He has contributed to Croatian higher education digitalization through ICT integration studies and participates in international academic collaborations. His editorial and organizational roles demonstrate commitment to advancing economic research.

Pribojszki-Németh Anikóمشاهده پروفایل

استادیار

• Project Management
• Quantitative Methods
• Operations Research
• +۳ مورد دیگر

Pribojszki-Németh Anikó is an Assistant Professor at the University of Pannonia's Faculty of Economics, Department of Quantitative Methods. She holds a PhD degree and specializes in methodological development for project planning and tracking using quantitative techniques. Her teaching portfolio includes courses on business process support, integrated information systems, and logistics information systems. Education: MSc in Logistics Management (University of Pannonia, 2010–2012), BSc in Technical Management/Engineering Management (University of Pannonia, 2006–2009), Logistics Technical Manager Assistant AIFSZ (University of Veszprém, 2004–2006) Languages: Academic German (advanced), English (communicative level) Her research focuses on quantitative methodologies for project management optimization and logistics systems. She has led LEAN and TPM (Total Productive Maintenance) coaching projects, contributing to industrial efficiency frameworks. Scientific Recognition: National Excellence Program Apáczai Csere János PhD Scholarship (2013) Pro Scientia Gold Medal (2013) Harsányi István Award (Hungarian Innovation Agency, 2010 and 2012) Multiple ITDK and OTDK prize awards for academic contributions (2009–2013)

Upeksha Madanayakeمشاهده پروفایل

مدرس

• Quantity Surveying
• Construction Digitalization
• Artificial Intelligence Applications
• +۷ مورد دیگر

Dr. Upeksha Madanayake is a Lecturer in Quantity Surveying at the University of Reading, serving as Programme Director for BSc Quantity Surveying, BSc Building Surveying, BSc Construction Management, and BSc Construction Management and Surveying programmes. She is actively affiliated with the Organisations, People and Technology Research Group and Energy and Environmental Engineering Research Group, driving interdisciplinary collaboration in construction innovation. Her academic qualifications include a PhD in Construction and Engineering from London South Bank University (2021), MSc and BSc (Hons) in Construction Project Management and Quantity Surveying from Liverpool John Moores University (2013, 2012), and a PGCert in Higher Education with Fellowship of the Higher Education Academy (FHEA) from the University of Greenwich (2022). Research interests center on digital transformation in construction, particularly exploiting Building Information Modelling (BIM), Big Data Analytics, and Internet of Things (IoT) for competitive advantage, alongside AI applications for cost prediction and dispute resolution. She investigates circular economy principles, whole life costing methodologies, and organizational dynamics within construction firms, while also contributing to higher education pedagogy through work-based learning studies and academic wellbeing research. Recent publications reveal a pronounced shift toward artificial intelligence in construction economics, with consistent exploration of BIM implementation challenges across diverse contexts including the UK, Middle East oil and gas projects, and Small Island Developing States. Her work demonstrates strong international collaboration and practical focus on cost certainty, project delay mitigation, and sustainable infrastructure development. Scientific recognition includes: Fellow of Higher Education Academy (FHEA) 2022 She supervises five postgraduate students researching AI-driven cost prediction, dispute resolution, and BIM implementation in Mauritius. Her grant leadership encompasses UKIERI-funded sustainable concrete development and CHOBE-funded work-based learning studies as Principal Investigator, with Co-Investigator roles in Royal Society Industry 4.0 roadmap projects and IDOBE cultural governance research. As a core member of the Organisations, People and Technology Research Group, she contributes to advancing digital and sustainable construction practices through collaborative projects with industry partners and international institutions.

Raul D.S.G. Campilhoمشاهده پروفایل

استادیار

• Numerical Modelling
• Finite Element Methods
• Cohesive Zone Models
• +۶ مورد دیگر

Raul D.S.G. Campilho serves as an Assistant Professor at the School of Engineering, Polytechnic Institute of Porto, specializing in mechanical engineering education and research. His institutional affiliations include Instituto Superior de Engenharia do Porto (ISEP) where he teaches, and ongoing collaborations with Faculdade de Engenharia da Universidade do Porto (FEUP). His research focuses on advanced mechanical engineering domains with particular emphasis on computational fracture mechanics and sustainable manufacturing. Key expertise areas include: Numerical modeling of adhesive joint failure using Cohesive Zone Models (38% research fingerprint) Finite element analysis of composite materials (32% fingerprint) Simulation-driven design of structural adhesives and hybrid joints Automation systems for manufacturing process optimization Robotics applications in industrial settings His recent publications reveal strong trends in sustainable manufacturing technologies, laser-based material processing, and advanced joining techniques for dissimilar materials. Current work emphasizes energy-efficient production systems and high-precision machining innovations. Professional contributions include extensive co-authorship with 362 researchers across institutions including University of Coimbra, University of Minho, and international collaborators. His advising activities focus on mechanical engineering students through research supervision in computational mechanics and manufacturing laboratories.

Jürgen Moormannمشاهده پروفایل

استاد

• Banking Management
• Process Management
• Business Engineering
• +۷ مورد دیگر

Professor Jürgen Moormann is a distinguished academic at Frankfurt School of Finance & Management, where he has served as Professor of Banking and Process Management since 1995. He previously held positions as a research assistant at Christian-Albrechts-University in Kiel (1986-1989) followed by five years in management consulting before joining academia. From 2005 to 2022, he led the ProcessLab research center, and from 2014 to 2018, he held the Concardis Endowed Professorship for Banking and Process Management. His international academic experience includes visiting professorships at the University of Colorado at Colorado Springs, University of New South Wales, Queensland University of Technology, and University of Hong Kong. Moormann's educational background includes vocational training at Commerzbank AG in Kiel (1977-1979), followed by business administration studies at the Universities of Kiel and Zurich (1980-1985), and doctoral studies completed at Christian-Albrechts-University in Kiel. His academic journey reflects a strong bridge between practical banking experience and theoretical research. His research interests span banking management, process management, business engineering, Six Sigma implementation in financial services, digital transformation, and customer-centric process design. Recent work has expanded into burnout prevention in academic settings, healthcare process management, and sustainability in banking operations. Moormann has consistently published in both German and English-language journals, demonstrating his ability to bridge academic traditions and reach diverse audiences. An analysis of his recent publications reveals a clear evolution from traditional banking process management toward more interdisciplinary topics, including healthcare processes, sustainability, and human factors in process design. His work increasingly integrates technological innovation with human-centered approaches, reflecting the changing landscape of financial services and organizational management. Vice Chairman of the Supervisory Board of Karis AG, Darmstadt Member of the Scientific Advisory Board of International Bankers Forum e.V., Frankfurt Trusted Professor of the Friedrich-Naumann Foundation, Berlin Associate Editor of 'Knowledge Management & E-Learning: An International Journal' Member of the Program Committee of the 'Global Business Conference' (Croatia) Moormann maintains active academic affiliations with the Association for Information Systems (AIS), BPM Association, German Computer Science Society (Gesellschaft für Informatik), and the Association of Business Administration Professors (Verband der Hochschullehrer für Betriebswirtschaft). His ProcessLab research center (2005-2022) significantly contributed to bridging academic research and practical banking applications, particularly in process optimization and digital transformation. Current research directions include exploring the relationship between process management and burnout prevention, as evidenced by his 2024 monograph 'Process Management and Burnout Prevention: A Human-Centred Approach to Reducing Work-Related Stress'.

Hadis Bajrićمشاهده پروفایل

استاد

• Industrial Engineering and Management
• Supply Chain Management
• Lean Management
• +۱۰ مورد دیگر

Prof. Dr. Hadis Bajrić is a Full Professor at the Faculty of Mechanical Engineering, University of Sarajevo, where he is affiliated with the Department of Industrial Engineering and Management. He has been serving as a regular professor since June 2024, following his promotion from Associate Professor (2018-2024). He also serves as the Head of the Lean Learning Factory Laboratory at the University of Sarajevo since April 2022. His educational background includes: PhD in Mechanical Engineering from University of Sarajevo (2013), with dissertation on "Development of models and expert system for inventory management with deterministic ordering times and stochastic demand" Master's degree in Industrial Engineering and Management from University of Sarajevo (2008) Bachelor's degree in Mechanical Engineering from University of Sarajevo (2006), with thesis on "Modeling portfolios for issuers of the Sarajevo Stock Exchange from SASX index" Prof. Bajrić's research focuses on industrial engineering and management, with particular expertise in lean management, supply chain management, inventory optimization, and data envelopment analysis. His work bridges theoretical frameworks with practical applications in manufacturing, healthcare, education, and public administration sectors. He has developed numerous models for inventory management, production optimization, and efficiency assessment across various industries. His recent publications demonstrate a strong trend toward applying lean principles in manufacturing systems, energy efficiency in building design (particularly healthcare facilities), and data-driven approaches to organizational efficiency. His research increasingly incorporates machine learning techniques and advanced analytics for prediction and optimization problems. Prof. Bajrić has received significant research funding through multiple EU-funded projects including BOOST, PRODIGI, ErgoLAB, ABCD, and UMANE, where he has served as project leader or key team member. These projects focus on innovation, digitalization of SMEs, human-centered entrepreneurship, and deep tech applications in the Western Balkans region. His scientific contributions include: Over 30 peer-reviewed journal articles and conference papers Three textbooks: "Supply Chain Management: Inventory" (2024), "Numerical Methods for Engineers" (2023), and "Six Sigma - Basic Statistical Tools" (2018) Extensive consulting work with numerous companies implementing lean and six sigma methodologies Prof. Bajrić has supervised more than 25 master's theses on topics ranging from lean manufacturing and supply chain optimization to quality management systems and Industry 4.0 adoption. His students have explored practical applications in diverse industries including furniture manufacturing, automotive supply chains, and healthcare logistics. He has established strong industry connections through his role as co-founder of Frontline d.o.o. Sarajevo (2022-present) and Stamen d.o.o. Sarajevo (2021-2022), as well as through numerous consulting projects with manufacturing companies across Bosnia and Herzegovina. His practical experience includes designing solar power plants and hydroelectric facilities, demonstrating his engineering expertise beyond academia.

• Circular Economy
• Operations Management
• Supply Chain Management
• +۴ مورد دیگر

Gerusa Gimenez Leal serves as a University Professor in the Department of Organization, Business Management and Product Design at the University of Girona, Spain. With continuous full-time faculty service since September 1997, she maintains active research and teaching roles in industrial engineering disciplines while contributing to the Advanced Research Group on Business Dynamics and Impact of New Technologies on Organizations (GRADIENT). Education: PhD in Industrial Engineering, University of Girona, Spain (2001) B.Sc. & M.Sc. in Industrial Engineering, Polytechnic University of Catalonia, Spain (1996) Research Focus: Her work centers on Circular Economy adoption in manufacturing, particularly analyzing EMAS-registered SMEs in Spain and Germany through longitudinal studies. In Management Systems , she investigates intersections of Quality, Environmental Management, and Occupational Safety and Health (OSH), notably how environmental management systems mediate corporate sustainability. Her Operations Management research explores lean tools for Industry 4.0 adoption and supply chain optimization, with empirical studies on Spanish manufacturing firms. Publication Trends: Recent output (2022-2025) reveals dual trajectories: (1) Circular economy implementation metrics in European manufacturing, and (2) Educational innovation through Project-Based Learning. Her 2024-2025 publications demonstrate increasing integration of sustainability principles into OSH education and gamified management teaching methods, while maintaining empirical analysis of lean production systems. Scientific Awards: No awards were documented in the source materials. Academic Contributions: She has pioneered Project-Based Learning implementation at the University of Girona through practical guides and community-building initiatives like EXPERIA. Her teaching portfolio includes Operations Management, Logistics, Quality Management, and Business Administration courses, informed by prior industry experience as Quality Manager at Indústrias Cerámicas Brancós, SA. Research Infrastructure: She operates within two key units: the GRADIENT research group focusing on business dynamics, and the Research Group in Product, Process and Production Engineering (GREP), enabling cross-disciplinary analysis of industrial transformation.

Nejat YUMUŞAKمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Bioinformatics
• +۵ مورد دیگر

Prof. Nejat YUMUŞAK is a full Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences, where he has built his academic career since 1995. His progression includes roles as Research Assistant (1993-1998), Assistant Professor (1998-2004), Associate Professor (2005-2011), and Professor (2011-present). Education PhD in Electrical-Electronics Engineering, Sakarya University (1995-1998) Thesis: Analysis of Power System Circuit Elements Using Artificial Neural Networks MSc in Electrical-Electronics Engineering, Dumlupinar University (1994-1995) Thesis: Calculation and Measurement of Transformer Parameters at High Frequencies BSc in Electrical-Electronics Engineering, Istanbul Technical University (1989-1993) Research Focus Prof. YUMUŞAK's research integrates artificial intelligence with multidisciplinary applications. Primary domains include: Bioinformatics & Medical AI : Developing deep learning models for COVID-19 mutation prediction, leukemia classification via blood smear analysis, and gastrointestinal anomaly detection using endoscopic data. Signal Processing & Security : Advancing acoustic event detection for security systems and vulnerability testing through intelligent fuzzing techniques. Optimization & Industrial Applications : Creating metaheuristic algorithms (e.g., enhanced Wild Horse Optimizer) for energy efficiency and Industry 4.0 digitalization. Publication Trends His recent articles (2022-2025) demonstrate strong emphasis on transformer architectures for virology, ensemble methods for medical diagnostics, and CNN/LSTM networks for genomic and acoustic data analysis. Over 50% of recent works focus on healthcare applications, particularly cancer and pandemic-related prediction models. Contact & Recognition Contact via nyumusak@sakarya.edu.tr or phone (0264) 264 58 94. His work has received 793 citations (Web of Science) with an H-index of 14.

Anne Zouggar Amraniمشاهده پروفایل

دانشیار

• Lean Manufacturing
• Industry 4.0
• Production Management
• +۴ مورد دیگر

Anne Zouggar Amrani is an Associate Professor at the University of Bordeaux , France, and a researcher at the IMS Lab within the Production Engineering research group ( LOCO2 team). She holds a PhD in production/logistics and an HDR qualification in Lean manufacturing. Research focuses on Lean implementation models , particularly in automotive and aeronautics sectors. Active in national collaborations (GDR Digital Transformations for SMEs) and international partnerships (University of New Haven, USN Norway, Sheffield UK, Polytecnico Di Milano, University of Galway). Supervised multiple doctoral theses and contributed to European projects, co-authoring over 40 publications. Co-leader of the Lean Thinking and Practices SIG in the IFIP/WG 5.7 community, organizing webinars on Lean production research advances. Her recent work explores the intersection of Lean manufacturing and Industry 4.0 technologies, emphasizing supply chain optimization, complexity measurement, and educational innovation. Articles analyze strategic frameworks for Lean-Industry 4.0 integration, AI-driven supply chain transformations, and cross-sector applications in healthcare. She leads research transfer initiatives to industry through partnerships with Safran , Dassault , Thales , Stellantis , and Faurécia , translating academic insights into practical tools for manufacturing and logistics.

Signe Vikkelsøمشاهده پروفایل

استاد

• Science and Technology Studies
• Organization Theory
• Sociology of Work
• +۴ مورد دیگر

Signe Vikkelsø is a Professor at the Department of Organization , Copenhagen Business School , specializing in the intersection of science and technology studies , organization theory , and sociology of work . Her research examines how technologies transform work practices, the evolution of organization theory, and dilemmas in organizing science and innovation. She has led four major research projects and supervised 17 PhD students. Education : Social psychology (University of Copenhagen), PhD in organizational studies (Copenhagen Business School) Research Focus : Using qualitative methods like organizational ethnography and digital methods, her work spans organizational hybridity , mission drift , isomorphic policy trends , and spatial dynamics in institutions . Recent publications address regulatory governance and structural opacity in financial scandals. Leadership Roles : Seven years as Head of Department, Program Director, Academic Director, and committee leadership in the Swedish Research Council and Danish Cancer Society's Psychosocial Research Committee. Projects : Involved in initiatives like the Lean-organization of patients project and the Industrial PhD Center for Offentlig Innovation .

Oliver Kröcherمشاهده پروفایل

استاد مدعو

• Heterogeneous Catalysis
• Environmental Engineering
• Emission Control
• +۳ مورد دیگر

Oliver Kröcher is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences (SB) , specifically in the Institute of Chemical Sciences and Engineering (ISIC) and the SCGC-ENS group. His research focuses on heterogeneous catalysis for environmental and energy applications, including emission control, NOx and N2O abatement, methane oxidation, and CO2 utilization. He also contributes to educational initiatives, such as Catalysis for emission control and energy processes .

• Transport Engineering
• Traffic Management
• Network Modelling
• +۴ مورد دیگر

Dr. Kasun De Silva Wijayaratna is a Senior Lecturer in the School of Civil and Environmental Engineering at the University of Technology Sydney (UTS), with over 14 years of combined industry and academic experience in transport engineering and research. His work focuses on practical applications across network modeling, traffic management, parking systems, and car-sharing solutions, making significant contributions to understanding transport network reliability and vulnerability. His educational background includes: PhD in Civil Engineering (Transport Modelling) from the University of New South Wales (2016) Bachelor of Engineering (Civil Engineering, Honours 1) from the University of New South Wales (2011) Bachelor of Commerce (Finance with Distinction) from the University of New South Wales (2011) Dr. Wijayaratna's research primarily investigates travel behavior under different information scenarios, with particular emphasis on shared spaces, personalized mobility solutions, and transport network reliability. His recent work demonstrates a strong focus on integrating AI and big data analytics into transport modeling, examining pandemic impacts on mobility patterns, and developing innovative approaches to shared road infrastructure. His publications reveal a consistent trajectory toward more sophisticated modeling techniques and increasingly complex real-world applications. His scientific achievements include the prestigious 2016 SIDRA Solutions Postgraduate Award as the most outstanding transport engineering researcher in Australia and New Zealand, along with multiple research funding successes totaling over $1.5 million from state and local government sources. He has secured significant grants through iMOVE CRC and Transport for NSW for projects examining shared spaces, transport system optimization, and road safety innovations. As an educator, Dr. Wijayaratna serves as subject coordinator for Roads and Transport Engineering and Traffic and Transportation courses at UTS. He has been recognized as an innovator in tertiary education for developing blended learning approaches that effectively engage contemporary student cohorts. His teaching philosophy integrates practical industry experience gained during his time at Cardno with academic rigor, creating a dynamic learning environment that prepares students for real-world transport engineering challenges.

Ecem Tezelمشاهده پروفایل

مدرس

• Project Management
• Construction Management
• Building Information Modeling (BIM)
• +۷ مورد دیگر

Dr. Lecturer Ecem Tezel is an academic at Istanbul Technical University's Faculty of Architecture, Department of Architecture. Holding a PhD in Project and Construction Management since 2017, she combines construction management with sustainability research through Building Information Modeling (BIM) and pro-environmental behavior studies. PhD: Project and Construction Management, Istanbul Technical University (2017) MS: Project Production and Management, Istanbul Technical University (2015) BSc: Architecture, Istanbul Technical University (2010-2015) Her research focuses on BIM-FM integration , pro-environmental behavior in construction , and educational frameworks for construction management. Recent work examines sustainability awareness and digital transformation in Turkey's architecture sector. Publications show strong trends in BIM adoption analysis (31% h-index), facilities management optimization , and behavioral sustainability research. Key collaborations include academics like Fatma Çakmak and Hüsnü Murat Günaydın. Sustainability and environmental research best paper award (Emerald Publishing, 2017) As principal investigator for the 2024-2025 project Mimarlık ve İnşaat Mühendisliği Lisans Programları Yapım Projeleri Yönetimi Eğitiminde Oyun Tabanlı Öğrenme Deneyimi , she explores game-based learning in construction education.

• Industrial Engineering and Management
• Lean Production Systems
• Operations Management
• +۵ مورد دیگر

Rui Manuel Sá Pereira Lima is an Associate Professor at the Department of Production and Systems within the School of Engineering at the University of Minho, Portugal. He serves as a Senior Researcher with PhD and Coordinator of the Research Group on Industrial Engineering and Management (Lean Production Research Group) at the Algoritmi Centre. His academic leadership extends to chairing the Project-Approaches in Engineering Education Association (PAEE) and serving on the steering committee of the Active Learning in Engineering Education (ALE) network. Dr. Lima's research spans Industrial Engineering and Management with focus on Production Management, Lean and Agile Project Management, Lean Healthcare, Lean Services, and Operations Management. His educational research concentrates on Project-Based Learning (PBL), University-Business Cooperation, and applying project management concepts to improve learning. He has delivered over 60 workshops across 30+ higher education institutions in Europe, Asia, South America, and Africa on Active Learning and PBL for teachers. His publication portfolio reveals strong trends in healthcare operations management, Lean methodologies across various sectors, and innovative engineering education approaches. Recent work shows growing emphasis on digital transformation, Industry 4.0 integration with traditional lean practices, and extended reality applications in educational settings. h-index 20 with 191 publications including 38 in Q1/Q2 journals Editorial board member for Production journal, Production Engineering Archives, and European Journal of Engineering Education Member of Consultative Committee on UNESCO Research Centre UCPBL Member of Academic Committee of College Doctoral Tordesillas in Production Engineering Dr. Lima has supervised 9 PhD students (co-supervised) with 6 currently under supervision, and over 80 MSc students while evaluating more than 40 MSc exams. His research projects involve international collaboration with universities across eight countries in Europe, Asia, and South America, focusing on hospital operations improvement, business process modeling, and Lean project development with industry partners. He has served as course coordinator for the integrated master's in industrial engineering and management and as an elected member of the School Council at the University of Minho's School of Engineering. His laboratory affiliations include the Industrial Engineering and Management (IEM) R&D Group and the Lean Production Systems Laboratory (LPSL) at the Algoritmi Centre, where his team develops practical applications of Lean methodologies across healthcare, manufacturing, and educational contexts. His current work emphasizes the integration of digital technologies with traditional Lean approaches to address contemporary operational challenges.

Jens Smed Rasmussenمشاهده پروفایل

مدرس

• Management Accounting and Control
• Business Controlling
• Cost Management
• +۷ مورد دیگر

Jens Smed Rasmussen is a Lecturer at the Department of Business and Sustainability under the Danish School of Business (DBS) Kolding at the University of Southern Denmark. His work focuses on Management Accounting and Control practices in organizational contexts, emphasizing interaction, learning, and strategic management, particularly in innovation and entrepreneurial settings . Recent projects involve comparative studies between Western and Japanese approaches to management control, with collaborations at Kwansei Gakuin University in Osaka. Education: M.Sc. in Business Administration, B.Com., B.Sc. in Economics Ph.D. studies: University of Southern Denmark (1997-2002) His research leverages qualitative methods , case studies , and critical theory , including Bourdieu’s Theory of Practice and Habermas. Key publications explore topics like experiential learning, constructive alignment, and interdisciplinary frameworks for pedagogy. Current work includes a comparative case study on Denmark-Japan management control for innovation. Worked on the INP project (2022-2023) on Lean Accounting in Industry 4.0 Organized international workshops in Japan and Denmark