جست‌وجوی استاد و پژوهشگر

• Operations Research
• Decision Analytics
• Supply Chain Management
• +۵ مورد دیگر

Laurent ALFANDARI is a Full Professor at ESSEC Business School, specializing in Operations Research and Decision Analytics within the Information Systems, Decision Sciences and Statistics (IDS) Department. He has held key academic roles including Academic Co-Director of the ESSEC-CentraleSupélec Master in Data Sciences & Business Analytics (2019–2023) and Coordinator of the Operations & Data Analytics PhD concentration (2018–2021). His research focuses on optimization techniques applied to supply chains, logistics, healthcare, and disaster preparedness. He has authored over 50 journal articles in top venues like European Journal of Operational Research and Transportation Science. Education : - Doctorate in Operations Research (Université Paris Dauphine-PSL, 1999) - Master of Research in Management Science (Université Paris Dauphine-PSL, 1995) - M.Sc in Management (ESSEC Business School, 1993) - Bachelor in Mathematics & Social Sciences (Université Paris Dauphine-PSL, 1990) Research Interests : His work addresses complex optimization challenges in urban logistics, healthcare networks, and disaster response. Notable contributions include freight-on-transit systems, autonomous robot delivery, and pandemic intervention sequencing. He emphasizes practical solutions for real-world problems through mixed-integer programming and robust optimization frameworks. Teaching & Mentoring : Teaches Decision Analytics and Operations Research across ESSEC programs (Grande École, Executive MBA, PhD). Supervised 14 PhD theses, including recent works on sustainable last-mile deliveries and healthcare analytics. Awards & Activities : 2020 ESSEC Top 4 Teaching Award, Vice-President of ROADEF (2012–2015), and leader in industrial collaborations with SNCF and Aid-Impact. Active in organizing academic conferences and serves as a journal reviewer for Annals of Operations Research and others. Labs & Collaborations : Member of LIPN (Sorbonne Université) and LAMSADE (Paris Dauphine). Consults for organizations like Babcock-Wanson and contributes to public-sector projects like EDF's ROADEF challenge.

Ulrich Kohlerمشاهده پروفایل

استاد

• Social Inequality
• Political Participation
• Electoral Systems
• +۴ مورد دیگر

Ulrich Kohler is a Professor of Methods of Empirical Social Research at the University of Potsdam. He has held academic positions at the University of Mannheim and served as a Senior Researcher in the Research Unit 'Inequality and Social Integration'. His work focuses on social inequality, political participation, electoral systems, and statistical methodologies. He leads the 'Life Course Risks Project', examining economic consequences of life risks across Germany and the US since the 1980s. Education: Dr. phil. (2001), University of Mannheim (Dissertation: 'Der demokratische Klassenkampf') M.A. in Sociology (1996), University of Mannheim Studies in Sociology, History, and Law at Universities of Mannheim (1992-1996) and Konstanz (1989-1992) Research Interests: Kohler’s research spans social stratification, electoral behavior, happiness inequality, and methodological advancements in survey analysis and statistical modeling. His work bridges theoretical insights with empirical rigor, often employing cross-national comparative approaches. He has contributed to Stata software applications for statistical analysis and authored influential studies on voter turnout effects and nonresponse bias in surveys. Awards: Recipient of the Lorenz von Stein Prize 2002 for his dissertation. Grants & Projects: Principal investigator of the 'Life Course Risks Project' (2009–present) Former Management of the 'Inequality and Social Integration' research unit

• Blockchain Technology
• Internet of Things (IoT)
• Data Security
• +۳ مورد دیگر

Ramachandran Gowri is a researcher specializing in blockchain technology, IoT security, and distributed systems. Her work focuses on advancing blockchain applications for social good, optimizing energy efficiency in mining, and enhancing cybersecurity in decentralized systems. She collaborates with institutions such as Queensland University of Technology (QUT) and has published extensively in top-tier conferences and journals like IEEE and Springer. Her research bridges theoretical frameworks with practical implementations, addressing challenges in smart contracts, data storage optimization, and supply chain management. Key research areas include privacy-preserving blockchain architectures, decentralized identity systems, and edge computing integration. She has contributed to frameworks like the 'Reference Architecture for Blockchain-based Social Good Applications' and developed protocols such as nPPoS for blockchain storage efficiency. Her work on cryptocurrency mining strategies and quantum-resilient IoT protocols showcases her interdisciplinary approach. Recent publications highlight her focus on mitigating cybersecurity threats in software supply chains and optimizing energy consumption in blockchain networks. Collaborations with experts in computer science and engineering underscore her role in advancing real-world applications of distributed ledger technologies.

Hamid R. Parsaeiمشاهده پروفایل

استاد

• Manufacturing Systems Design
• Additive Manufacturing
• Economic Decision Making
• +۳ مورد دیگر

Hamid R. Parsaei is a Professor of Industrial & Systems Engineering and Affiliated Professor in Multidisciplinary Engineering at Texas A&M University's College of Engineering. He serves as Director of College of Engineering Accreditation and Assessment. His expertise spans manufacturing systems design, additive manufacturing, and economic decision-making. He holds certifications as a Professional Engineer (PE) and has received numerous accolades including the IISE Albert G. Holzman Distinguished Educator Award (2022) and multiple fellowships from IISE, SME, and ASEE. Education: Ph.D. in Industrial Engineering, University of Texas at Arlington Research Interests: Design and analysis of manufacturing systems Industry 4.0 implementation and reconfigurable manufacturing systems Remote laboratory technologies for engineering education Economic decision-making in manufacturing and supply chains Sustainable manufacturing and enterprise reconfiguration His recent work focuses on Industry 4.0 readiness frameworks, digital twin technologies, and maritime risk analysis. He co-authored the award-winning book Reconfigurable Manufacturing Enterprises for Industry 4.0 (CRC Press, 2021). His publications span over 150 articles addressing smart manufacturing systems, remote laboratory platforms, and engineering education innovations. Key Awards: 2023 Distinguished Service Award (Industrial Engineering and Operations Management Society) 2022 IISE Book-of-the-Year Award 2018 Fred C. Crane Distinguished Service Award Lifetime Fellowships from IISE, SME, and ASEE Leadership and Impact: Dr. Parsaei pioneered scalable remote laboratory systems for global engineering education, enhancing accessibility through technologies like wiki-based platforms and mobile-optimized frameworks. He has advised numerous initiatives in educational technology and safety-critical systems, including UAV-based safety management in the oil industry. His work bridges academic research with industry needs through innovative solutions for manufacturing competitiveness and workforce readiness.

Iskra Dukovska-Popovskaمشاهده پروفایل

دانشیار

• Supply Chain Management
• Circular Economy
• Machine Learning
• +۵ مورد دیگر

Iskra Dukovska-Popovska is an Associate Professor at the Department of Materials and Production, Faculty of Engineering and Science, Aalborg University. She holds a Ph.D. in Industrial Engineering and has over 20 years of research experience focusing on sustainable supply chains, circular economy, healthcare operations, and product development methodologies. Her research integrates machine learning, information systems, and operational research to address challenges in textile recycling, fresh food logistics, and healthcare resource optimization. Recent projects include SATIN (Nordic circular textile systems), RefArc (healthcare reference models), and SmartLog Plus (supply chain innovation). She has supervised 1 Ph.D. student and contributed to over 75 peer-reviewed publications. Key research themes include: End-of-life textile systems and consumer engagement Machine learning applications in surgery duration prediction Manufacturing workforce skill transitions for sustainability Agile-stage gate hybrid product development processes Notable awards include the 2023 NOFOMA Best Paper Award for textile recycling research, 2019 John Burbidge Award for forecasting models, and 2016 Holland Award for product development innovation. She has also contributed to policy development through impacts like the Nordic textile supply-demand balance analysis. Current activities involve cross-industry collaborations on circular economy implementation, digital transformation in manufacturing, and sustainable healthcare operations optimization through data-driven approaches.

• Data Science
• Blockchain Technology
• Transportation Systems
• +۷ مورد دیگر

John Easton is a Professor in the School of Social Sciences at Heriot-Watt University, United Kingdom. His research bridges technology, data science, and transportation systems, with a strong focus on blockchain applications, data quality, and railway infrastructure. He actively contributes to advancements in smart cities and industrial information integration. Research Interests: His work centers on data-driven decision-making in industrial and transport contexts. Key areas include blockchain-based systems for public transit ticketing, data quality in industry, railway track monitoring, and digital transformation in transportation. His research supports UN Sustainable Development Goals through innovations in sustainable infrastructure and smart mobility. The recent publications indicate a strong trend in applying blockchain and data analytics to transportation and industrial systems. Topics such as decision-making frameworks for blockchain adoption, integrated data platforms for railway maintenance, and secure data sharing in smart cities reflect a cohesive research agenda focused on technological innovation for societal benefit. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: While no direct information on students or grants is available, his senior academic rank and extensive publication record suggest active supervision and research leadership. Collaborations with researchers like J.D. Preece and Q. Fu indicate team-based research projects likely funded by external grants. Labs and Teams: Although no specific lab or research group is named, his collaborative work and focus areas suggest involvement in interdisciplinary research teams working on smart transportation, blockchain applications, and industrial data systems at Heriot-Watt University.

• Translation Studies
• Medical and Healthcare Interpreting
• Legal Translation
• +۳ مورد دیگر

Dolunay Kumlu is an Associate Professor at Trakya University's Faculty of Letters, Department of Translation and Interpretation, with a career spanning since 2016. Her work focuses on translation strategies, medical and legal translation, AI integration in translation, and specialized translation pedagogy. She has contributed to curriculum design for customs/logistics translation, medical interpreting, and cultural adaptation in children's literature. High School (1995), BA (2000), MA (2005), PhD (2016) in Translation Studies Academic trajectory: Lecturer (2016) → Assistant Professor (2023) → Associate Professor (2024) Her research explores the intersection of translation theory with practical challenges such as rhetorical devices in political speeches, AI tools (e.g., ChatGPT) in cultural translation, and textual analysis for equivalence. The 15 most recent publications demonstrate her engagement with translation technology, medical/legal terminology, and educational frameworks like the Bologna Process. While no scientific awards are explicitly listed, Kumlu has presented extensively at international symposia (e.g., Rumeli Symposium 2023, BAKEA Symposium 2021) and contributed to book chapters on topics ranging from translational paralysis due to textual neglect to social media impacts in academic translation training.

Svante Eriksenمشاهده پروفایل

دانشیار

• Statistics
• Bayesian Networks
• Graphical Models
• +۷ مورد دیگر

Svante Eriksen is an Associate Professor in the Department of Mathematical Sciences at Aalborg University, Faculty of Engineering and Science. His research spans statistics, forensic genetics, and computational modeling, with a focus on Bayesian networks, graphical models, and statistical methods for forensic DNA analysis. He is actively involved in interdisciplinary research and software development for probabilistic genotyping and large-scale inference. Research Interests: Bayesian Networks and Graphical Models Statistical Methods in Forensic Genetics SNP and Y-STR Genotyping Data Mining and Knowledge Discovery Model Selection and Context-Specific Independence Software Development for Statistical Inference Recent Publication Trends (2024–2025): His recent work focuses on improving SNP genotyping accuracy using logistic regression models, developing efficient software (jti and sparta) for Bayesian network inference, and advancing forensic DNA analysis through dynamic SNP selection and probabilistic modeling of Y-STR databases. These contributions reflect a strong integration of statistical theory, computational efficiency, and real-world forensic applications. Scientific Contributions: Principal contributor to software packages for Bayesian network prediction. Developer of statistical models for forensic DNA data interpretation. Collaborator on projects involving digital learning analytics and student retention. Advising and Grants: While specific student names are not listed, the profile indicates involvement in PhD supervision (4 cases). He has participated in multiple externally funded research projects, including those supported by Novo Nordisk and Danish research councils, focusing on forensic DNA analysis, graphical models, and educational data mining. Research Groups and Collaborations: He is part of a strong research network in forensic genetics and statistical modeling at Aalborg University, collaborating with leading researchers such as N. Morling, M. M. Andersen, and T. Tvedebrink. His work is closely tied to the development and application of statistical software in both forensic and educational domains.

Mira Mayrhoferمشاهده پروفایل

مدرس ارشد

• Health communication
• Advertising research
• Food and Alcohol marketing
• +۵ مورد دیگر

Dr. Mira Mayrhofer serves as a Senior Lecturer in Advertising at the University of Vienna's Department of Communication within the Faculty of Social Sciences. Currently on maternal leave, she maintains her office at Währinger Straße 29 (Room 7.43) in Vienna and continues research through the Advertising and Media Psychology Research Group (AdMe) led by Prof. Jörg Matthes. Her academic profile spans health communication, advertising research with focus on food and alcohol, product placement in digital media, and quantitative methodology. Her educational background includes: Ph.D. in Journalism and Communication Studies (2019, University of Vienna) M.Sc. in Marketing (2015, Vienna University of Economics and Business) B.A. in Journalism and Communication Studies (University of Vienna) B.Sc. in Business, Economics & Social Sciences (2013, Vienna University of Economics and Business) Mayrhofer's research centers on the psychological mechanisms of media effects, particularly examining how alcohol and food are portrayed in entertainment media and social platforms. Her work investigates observational learning of drinking behaviors, the impact of product placements on children's eating habits, and the persuasive dynamics of user-generated brand content. She employs rigorous quantitative methods to analyze audience responses across demographic variables, with significant contributions to understanding how perceived similarity influences alcohol consumption modeling. Her publication trajectory reveals evolving expertise from early studies on alcohol portrayal in comedy series (2016-2018) toward broader health communication applications including pandemic response analysis (2022). Key thematic clusters include alcohol risk communication, children's food marketing, and social media persuasion mechanics, with methodological strengths in experimental design and content analysis. Award highlights: Top Faculty Paper Award, AEJMC (2018) for observational learning research Top Student Paper Award, International Communication Association (2017) for alcohol education studies Research leadership includes serving as postdoctoral researcher (2021-2022) for the Austrian Health Insurance Fund (ÖGK)-funded project 'Concept for Marketing/Communication for the Disease Management Program Chronic Heart Failure' under Prof. Matthes. She previously contributed to the 'Food Product Placements in Children’s Movies' project (2015) and has mentored numerous junior researchers within the AdMe group. Current collaborative work examines pandemic-era healthcare delivery through qualitative GP interviews. As core faculty in the Advertising and Media Psychology Research Group, Mayrhofer contributes to the department's international reputation in media effects research. Her team collaborates across disciplines including public health and nutrition science, with ongoing projects analyzing social media's impact on health behaviors and the effectiveness of disease management communications.

• Automatic Control
• Transportation Systems
• Sustainable Transport
• +۵ مورد دیگر

Jonas Mårtensson is Professor of Automatic Control with applications in Transportation Systems at KTH Royal Institute of Technology in Stockholm, Sweden. He works in the Division of Decision and Control Systems within the School of Engineering and serves as the director of the Integrated Transport Research Lab (ITRL), a multi-disciplinary research center focused on sustainable transport systems in collaboration with Swedish industry and public actors. Dr. Mårtensson received his MSc degree in vehicle engineering in 2002 and his PhD degree in automatic control in 2007, both from KTH. He was awarded the docent title in 2016. His educational background combines deep expertise in both vehicle engineering and control systems, forming a strong foundation for his interdisciplinary research approach. His research spans efficient and sustainable transport systems with particular emphasis on cooperative traffic control and control of connected and automated vehicles, especially for freight and heavy vehicles. His work bridges theoretical control systems engineering with practical transportation applications. Recent publications reveal a strong focus on model predictive control for autonomous vehicles, platoon coordination systems, and safety mechanisms for connected vehicles, with increasing emphasis on sustainability and efficiency in freight transportation. Analysis of his 15 most recent publications shows consistent work across transportation safety, vehicle control systems, and sustainable logistics. His research integrates theoretical control methods with real-world transportation challenges, particularly in platooning, vehicle coordination, and energy-efficient driving strategies for heavy-duty vehicles. Director of the Integrated Transport Research Lab (ITRL) Professor of Automatic Control with applications in Transportation Systems Active researcher with publications in top journals like IEEE Transactions on Intelligent Transportation Systems and Automatica Dr. Mårtensson teaches Automatic Control courses (EL1000, EL1010, EL1020) and supervises numerous degree projects in Electrical Engineering and Computer Science specializing in Systems, Control and Robotics. His teaching reflects his research expertise, providing students with both theoretical foundations and practical applications in control systems for transportation. His laboratory work focuses on developing and testing control algorithms for heavy-duty vehicles, platooning systems, and sustainable transportation solutions. The Integrated Transport Research Lab serves as a hub for collaboration between academia, industry, and government agencies working toward more efficient and sustainable transportation systems.

• Distributed Automation
• Industry 4.0
• Smart Grids
• +۸ مورد دیگر

Wolfgang Kastner is a Full Professor at the Department of Automation Systems, Faculty of Informatics, Vienna University of Technology (TU Wien). His research focuses on Distributed Automation, Industry 4.0, Smart Grids, IoT, and Cybersecurity in Industrial Systems. He is affiliated with TU Wien and actively contributes to projects funded by institutions like the Austrian Research Promotion Agency (FFG) and TÜV Austria. His work spans safety, security, and integration challenges in IT/OT convergence. Research interests include Industrial Automation, Cyber-physical Systems, and IoT applications. He leads projects such as the TÜV AUSTRIA Security in Industry Research Lab and collaborates on initiatives like FORA (Fog Computing for Robotics) and DiCYCLE (Digitalization in Construction). His research addresses energy efficiency, fault detection, and semantic integration in industrial and building automation systems. Key projects include: Unleashing Sector-coupling Flexibility (2023–2027) Contextual Deep Learning for Predictive Analytics (2023) Semantics-based Explanation of Cyber-physical Systems (2023–2025) His contributions to standards like Asset Administration Shell (AAS) and AutomationML (AML) highlight his role in bridging theoretical and applied cybersecurity and safety engineering.

• Supply Chain Management
• Blockchain Applications
• Sustainability Engineering
• +۳ مورد دیگر

Georgios Papadopoulos is an Associate Professor at the Department of Materials Science and Engineering, School of Chemical Engineering, National Technical University of Athens (NTUA). His work bridges engineering, technology, and interdisciplinary applications, with a focus on supply chain optimization, blockchain technologies, and sustainable systems. He holds office C.301 and can be reached at gkpap@chemeng.ntua.gr . Research interests span advanced logistics systems, AI integration in manufacturing, and healthcare engineering solutions. Recent explorations include blockchain-driven supply chain traceability for food and wine industries, predictive maintenance in reverse logistics, and decarbonization strategies in maritime fuels. His work also addresses societal challenges like food waste mitigation and pediatric cardiomyopathy diagnostics. Publications reflect a multi-disciplinary approach: 2024 studies include AI applications in supply chains and digital health interventions, while 2023 papers focus on blockchain systems and carbon emissions verification. Earlier works (2022-2003) cover cybersecurity in maritime systems, gear mechanics, and surgical prosthetics. He collaborates with industry partners on Lean Six Sigma methodologies and public sector process optimization. His academic contributions span 40+ peer-reviewed articles across chemical engineering, logistics, and medical fields. Active in professional communities, he advises on EU-funded projects and participates in institutional committees at NTUA. Ongoing research emphasizes smart manufacturing ecosystems and climate resilience frameworks for supply chains.

• Supply Chain Management
• Information Systems
• Digital Twins
• +۶ مورد دیگر

Professor Dr. Tobias Engel is affiliated with Neu-Ulm University of Applied Sciences (HNU) as a faculty member in the School of Information Management , specializing in Supply Chain Management . His work bridges academic research with practical applications in digital transformation and sustainability. PhD from Technische Universität München (2015) Active in international conferences (AMCIS, MWAIS, POMS) since 2010 Key research areas: Supply Chain Analytics, Digital Twins, RFID Systems, Lean Management Recent research focuses on merging digitalization with supply chain sustainability through AI-based verification systems , large language models , and digital twin frameworks . His 2025 work on sustainability maturity models and multilingual manufacturing support demonstrates ongoing innovation. Article trends show consistent emphasis on data-driven optimization (2011-2025), with recent shifts toward AI integration (2024-2025) and sustainable practices (2025). Awards: Best Paper Award in Digital Health (2025) Engel contributes to supply chain pedagogy through simulation game methodologies (2023) and collaborates with researchers like Gökhan Cenk and Benjamin Hofmann. His work spans both academic publications and practitioner-focused guides like "Supply Chain Strategy: From Strategy to Operational Excellence" (2020). Current thesis topics include Industrial Metaverse , Digital Twins , and Procurement Innovations , indicating future research directions that align with Industry 4.0 advancements.

• Supply Chain Logistics
• National Security
• Large-Scale Algorithm Design
• +۵ مورد دیگر

Dr. Chase E Rainwater is Professor and Head of the Department of Industrial Engineering at the University of Arkansas College of Engineering, serving since 2009 while co-directing the Arkansas Security Research and Education Institute. A University of Arkansas alumnus with bachelor's and doctoral degrees in Industrial Engineering from UF, he commands significant research funding and leadership recognition. His educational credentials: B.S.I.E., University of Arkansas Ph.D., University of Florida Rainwater's research integrates large-scale optimization with critical applications in supply chain security, food safety systems, and national infrastructure protection. His work bridges machine learning, cybersecurity, and homeland security through $20M+ in NSF, DoD, and USDA-funded projects, developing algorithms for drug interdiction networks, poultry supply chain safety, and aerial image analysis. Recent publications reveal accelerating interdisciplinary convergence: 2021-2025 works combine computer vision (wildfire segmentation, solar PV monitoring) with operations research (supply chain security, network interdiction). This reflects his strategic pivot toward AI-driven solutions for environmental monitoring and critical infrastructure resilience while maintaining core logistics expertise. Major honors include: University of Arkansas Teaching Academy Fellow (2022) Five-time IE Department Outstanding Teacher (2012,2014,2015,2017,2022) IISE Innovation in Education Award (2021) College of Engineering Collaborative Research Award (2018) Arkansas Academy of IE Outstanding Faculty (2017,2022) FIRST Tech Challenge Compass Award (2017) He has advised six Ph.D. graduates while securing $20M+ in grants including EPSCoR DART ($4.3M), Cybersecurity Workforce Development ($4.6M), and Walmart food safety initiatives ($3.2M+). His leadership spans IISE Board of Trustees, INFORMS committees, and Arkansas FIRST robotics mentorship since 2015. Rainwater co-directs the Arkansas Security Research Institute while mentoring FIRST robotics teams for over a decade, including coaching Team USA at the FIRST Global Challenge. His departmental leadership focuses on data science integration and cross-college security initiatives.

Guido Siestrupمشاهده پروفایل

استاد

• Logistics
• Supply Chain Management
• Business Process Management
• +۳ مورد دیگر

Prof. Dr. Guido Siestrup serves as Professor and Vice Dean of the Faculty of Business Information Systems at Furtwangen University, based at the Furtwangen campus (Room I 2.06). Contactable via Guido.Siestrup@hs-furtwangen.de and +49 7723 920-2240, he maintains office hours by appointment and holds memberships in the Bundesvereinigung Logistik (BVL) and Asian German Knowledge Network for Transport and Logistics (AGKN). His research centers on process-oriented logistics management , reference models in logistics , and simulation of SCM systems , with recent publications revealing strong emphasis on risk management in logistics agglomerations and digital transformation pathways toward Supply Chain 4.0. Industrial experience informs his academic work, including leadership roles at Dynamit Nobel France (Automotive), Vest-Wood Türen (Building Elements), and Felix Schoeller (Paper/Specialty Imaging). Analysis of his 15 most recent publications shows consistent focus on emergency planning for sensitive logistics nodes, collaborative risk frameworks, and maturity modeling for Industry 4.0 adoption. Methodologically, his work integrates agent-based simulation and multi-criteria decision support to address vulnerabilities in critical logistics infrastructure. Prof. Siestrup leads externally funded research including PreparedNET and SUCULOG (BMBF) and MWN (MWK), focusing on supply chain resilience, risk mitigation, and network security. His industrial background enables practical translation of academic concepts into operational logistics frameworks, particularly for time-critical decision environments.