جست‌وجوی استاد و پژوهشگر

• Electrical Machines
• Energy Conversion
• Permanent Magnet Motors
• +۳ مورد دیگر

Lale Tükenmez Ergene is a Professor at Istanbul Technical University 's Department of Electrical Engineering, specializing in Electrical Machines and Energy Conversion . Her work bridges theoretical research and practical applications in motor design for electric vehicles and home appliances. Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute 20+ years of academic and administrative leadership Focus areas: Permanent Magnet Motors, Synchronous Reluctance Motors, and Sensorless Control Systems Her research explores: Optimization of traction motors for electric vehicles Advanced sensorless control algorithms for motor drives Reduction of voltage distortion in high-performance motors Integration of predictive diagnostics in motor systems Applications of neurofuzzy control systems in multicopters Recent publications highlight trends in PMaSynRM parameter estimation , flux weakening capabilities , and real-time motor diagnostics . Her work spans both traditional electrical engineering and cross-disciplinary innovations like VR-based language learning systems for EU workforce mobility. Scientific recognition includes: Best Poster Paper Award (2016) 2nd Prize in Graduation Design Competition (2015) Doctoral Thesis Excellence Award (2015) She leads projects such as: Pmasynrm's Innovative Real-Time Model Diagnostic System (2021-2024) Sensorless Magnet-Supported Motor Drive for Washing Machines (2019-2022) VR-based Business English Training for Engineers (2018-2022)

Gerhard Schwabeمشاهده پروفایل

استاد

• Collaborative Technologies
• Information Management
• E-Government
• +۵ مورد دیگر

Gerhard Schwabe is a Professor in the Department of Informatics at the University of Zurich, Faculty of Business, Economics and Informatics. His research spans collaborative technologies, information management, E-government, blockchain applications, and digital health. He leads the Information Management Research Group and contributes to the university's Digital Society Initiative (DSI). Research Focus: Human-AI collaboration, blockchain systems, crisis informatics, persuasive technologies Key Projects: RefuGPT (refugee support chatbots), Scripted Medicine (health worker assistance), PROMISE (AI prompt orchestration) Technical Expertise: Design Science Research, conversational agents, data-driven governance His recent publications emphasize AI integration in collaborative workflows, blockchain applications for data markets, and digital solutions for crisis management. He explores how generative AI impacts freelance development practices and transforms advisory services through automated systems. Contact: schwabe@ifi.uzh.ch

Angelos Georghiouمشاهده پروفایل

دانشیار

• Stochastic Optimization
• Robust Optimization
• Operations Management
• +۴ مورد دیگر

Angelos Georghiou is an Associate Professor of Operations Management at the Department of Business and Public Administration, University of Cyprus. He previously held academic positions as Assistant Professor at McGill University (2016–2019), Post-Doctoral Researcher at MIT (2012–2013), and Postdoctoral Researcher at ETH Zurich (2013–2016). His work bridges computational methods in stochastic and robust optimization with applications in healthcare, energy systems, and operations management. Ph.D. in Operations Research, Imperial College London (2012) M.Sci. in Mathematics, Imperial College London (2008) His research focuses on stochastic optimization , robust optimization , and decision rules , addressing challenges in healthcare analytics , energy-efficient control systems , and machine learning integration . Recent publications in Management Science and Operations Research highlight his contributions to decision-dependent information discovery and computational frameworks. Key trends in his 15 most recent articles include: Advancing robust optimization techniques for multistage problems Applications in healthcare (psychiatric risk prediction) and energy systems Integration of machine learning with stochastic programming Development of tractable algorithms for complex decision environments Scientific Awards : Esdras-Minville Best Student Paper Award (2023) He serves on editorial boards of Operations Research Letters (Area Editor) and Management Science , and collaborates with institutions like MIT, ETH Zurich, and McGill University. His work with undergraduate students includes a 2021 paper in SIAM Undergraduate Research Online .

Rui Vinhas da Silvaمشاهده پروفایل

استاد

• National Competitiveness
• Corporate Reputation
• Sustainable Business Practices
• +۵ مورد دیگر

Rui Vinhas da Silva is a Full Professor at ISCTE-IUL and an Associate Professor at the University of Manchester Business School. With a career spanning over two decades, he has contributed extensively to research in national competitiveness, corporate reputation, and sustainable business practices through publications, books, and executive training programs. Education: PhD and Postdoctoral Fellow at the University of Manchester; MBA and Master of Economics from UK and Canada Research Focus: National competitiveness, sustainability in business, marketing strategy, and organizational behavior His recent articles explore topics like AI's role in society, caravan tourism regeneration, and sustainable business models. He has received teaching accolades at ISCTE and leads research initiatives in European networks like COST-CHERN. Silva's work bridges academic rigor with practical applications in consulting and executive education.

• Business Process Management
• Declarative Process Modeling
• Hybrid Process Notations
• +۵ مورد دیگر

Tijs Slaats is an Associate Professor in the Software, Data, People & Society section at the Department of Computer Science, University of Copenhagen. His research focuses on Business Process Management with particular emphasis on declarative and hybrid process notations to provide flexible workflow support for knowledge workers, funded by the Danish Council for Independent Research. His educational background includes: M.Sc. in Information Technology from IT University of Copenhagen Ph.D. in Computer Science from IT University of Copenhagen (supervised by Thomas Hildebrandt) Dr. Slaats specializes in declarative process modeling, particularly Dynamic Condition Response (DCR) graphs which enable flexible workflow systems. His work bridges theoretical foundations with practical applications in cross-organizational settings. Recent research extends into blockchain technologies, smart contracts, and applications in sensitive domains like asylum processing and refugee law. He combines formal methods with empirical evaluation to ensure both correctness and usability of workflow systems. His publication pattern shows increasing application of process mining techniques to blockchain technologies and socially impactful domains, while maintaining core research in Business Process Management. Notable trends include integration of DCR graphs with smart contracts, privacy-preserving techniques for asylum data, and object-centric approaches to process discovery. Research funding includes: Hybrid Business Process Management Technologies project (Danish Council for Independent Research) Technologies for Flexible Cross-organizational Case Management Systems (FLExCMS) industrial Ph.D. project Alongside his academic work, Dr. Slaats maintains strong industry connections through Exformatics A/S where he developed the DCR Graphs workflow solution (www.dcrgraphs.net), and previously worked as a software engineer in the Dutch e-commerce sector. His dual expertise in academia and industry ensures his research addresses real-world workflow challenges while maintaining theoretical rigor.

• International Macroeconomics
• Monetary Policy
• Fiscal Policy
• +۳ مورد دیگر

Gernot Müller is a Professor of Economics at the School of Business and Economics, University of Tübingen. His research focuses on international macroeconomics, monetary policy, fiscal policy, and economic networks, with a particular emphasis on how news, expectations, and structural shocks propagate through economies. Current Affiliation: Professor, University of Tübingen Research Areas: Monetary policy, fiscal policy, climate economics, economic networks, conflict economics Recent publications explore topics such as the economic impact of war, tariff shocks in production networks, green transition policies, and the role of expectations in business cycles. His work appears in journals like the American Economic Review , Journal of Monetary Economics , and European Economic Review . Active collaborations with researchers across Europe and the U.S. highlight his interdisciplinary and global approach. Contact: gernot.mueller@uni-tuebingen.de

Johannes Wolfمشاهده پروفایل

استاد

• Business Administration
• Logistics Management
• Supply Chain Management
• +۴ مورد دیگر

Prof. Dr. Johannes Wolf is a Professor of Business Administration (Dual Study Program) at the Hamburg Distance Learning University (since 2012) and previously served as Chancellor of the university (2013–2020). He also held roles as Professor of Logistics Management and (Founding) Dean of the Logistics Management Department at the European University of Applied Sciences (EUFH) in Brühl. His career includes over 30 years of academic and professional experience in logistics, supply chain management, and business systems. Education: Johannes Wolf holds a doctorate in Business Administration from Fernuniversität Hagen (1986) with a thesis on industrial energy use and production planning, following a degree in Business Administration from the University of Cologne. Research interests focus on logistics management, supply chain optimization, ERP system implementation, dual study programs, and educational frameworks for business and logistics disciplines. He has contributed to over 50 publications, including handbooks and peer-reviewed articles on topics like IT systems in logistics, risk management, and competency development. He is a member of the Federal Association of Logistics (BVL) and the German Informatics Society (GI), and has served as an external expert for institutional accreditation reviews by the German Science Council. Key professional roles include management consultancy work (1993–2003) and early career roles in organizational controlling and energy procurement in industry.

Uta Mathisمشاهده پروفایل

استاد

• Business Process Management
• Process Mining
• ERP-Systems
• +۳ مورد دیگر

Prof. Uta Mathis is a Professor at the University of Applied Sciences Esslingen, Faculty of Management. She has held academic leadership roles including Dean of the Faculty of Management (2014–2021), Head of the Institute of Sustainable Energy Management and Mobility (2016–2018), and currently serves on the Academic Board of SAP UCC DACH. She obtained her Diplom-Wirtschaftsingenieurin (Industrial Engineering) from TU Kaiserslautern in 1990 and a Dr. rer. pol. in 1998. Her research focuses on Business Process Management (BPM), Process Mining, ERP systems (especially SAP), and process performance optimization. She actively integrates SAP solutions into teaching and research curricula and has contributed to transregional process design and business model innovation in mobility sectors. Recent publications address BPM education (2021) and industry applications of BPM frameworks (2022). Her work emphasizes bridging academic theory with practical enterprise systems implementation. She manages international affairs for the Faculty of Management and is a core member of SAP University Alliance programs. Advising and grants: No listed advisees, but oversees academic programs and SAP-related research initiatives. She coordinates the Institute of Sustainable Energy Management and collaborates with industry partners on digitalization and process efficiency projects.

• Digital Marketing
• Consumer Psychology
• Tourism in Asia-Pacific
• +۶ مورد دیگر

Dr. Wei Shao is a Senior Lecturer in the Department of Tourism and Marketing at Griffith University, affiliated with the Griffith Asia Institute and Griffith Agribusiness. She holds a PhD in Marketing from Griffith University (2007) and a Bachelor of Business from Tianjin Foreign Studies University (1997). Her research bridges traditional marketing with emerging technologies like VR retailing and AI-enabled consumer engagement, focusing on digital marketing strategies, cross-cultural communication, and tourism in the Asia-Pacific region. She has secured grants totaling over $45,000, including projects on women’s empowerment in tourism and consumer choice behavior. Education: PhD in Marketing, Griffith University, 2007 Bachelor of Business, Tianjin Foreign Studies University, 1997 Research Interests: Dr. Shao explores technology-driven marketing innovations, including VR retail environments, AI applications in customer service, and the role of memes and social media in brand-building. Her work emphasizes inclusive marketing practices, intercultural dialogue, and leveraging digital media to amplify marginalized voices. Grants & Projects: "Empowering Sulawesi Women in Tourism: Innovation and Sustainable Business" ($35,000, 2025–2026) "Fun or Function: The Impact of Affect and Cognition on Consumer Choice" ($10,514, 2008–2010) Advising: Dr. Shao supervises doctoral research on topics including NFT marketing, AI chatbots in service recovery, and authentic brand experiences on social media. She has guided over 11 PhD candidates since 2009. Labs & Groups: Member of the Griffith Asia Institute and Griffith Institute for Tourism, focusing on collaborative research initiatives strengthening industry-academia ties in the Asia-Pacific region.

• Healthcare Information Systems
• Digital Innovations for Aging Society
• Technology Adoption by Older Adults
• +۴ مورد دیگر

Heiko Gewald is a Professor in the Department of Information Systems at Technical University of Munich's School of Management, with a distinguished research career spanning over two decades. His scholarly work demonstrates deep expertise in information systems, particularly focusing on technology adoption by aging populations, healthcare information systems, and smart mobility services. Dr. Gewald's research interests center on the intersection of technology and human behavior, with special emphasis on older adults' adoption of digital health applications , smart mobility ecosystems , and DevOps implementation . His work consistently addresses the challenges of designing technology that accommodates diverse user needs, particularly for vulnerable populations. Through extensive field research, he has developed frameworks for understanding technology acceptance barriers among seniors and created interventions to improve digital inclusion. Analysis of his recent publications reveals a clear trajectory toward increasingly specialized work in aging technology, with approximately 60% of his 2020-2025 publications focusing on older adult technology adoption. His research employs diverse methodologies including qualitative case studies, cross-cultural surveys, and experimental designs, often with international collaborations spanning Germany, Australia, and Thailand. Principal investigator for multiple German research projects on digital health for elderly populations Co-organizer of the annual HICSS minitrack on 'Seniors' Use of Digital Resources' since 2018 Active contributor to the Association for Information Systems (AIS) special interest groups Dr. Gewald has mentored numerous doctoral students who have become active researchers in information systems, with several now holding faculty positions. His research has been supported by German research funding agencies and industry partnerships with healthcare technology companies. He maintains strong collaborative relationships with researchers across Europe and Australia, particularly in the healthcare IT domain.

• Discrete choice experiments
• Optimal experimental design
• Multivariate statistics
• +۷ مورد دیگر

Martina Vandebroek is Full Professor of Statistics and Operations Research at KU Leuven, Faculty of Economics and Business, where she leads methodological work within the Operations Research and Statistics Research Group (ORSTAT). She also serves as senior academic staff on the Faculty Council and the Campus Councils for Leuven and Kortrijk, and is a member of the LStat General Assembly. Research Interests Discrete choice experiments (design & analysis) Optimal and sequential experimental design Multivariate statistics and modelling of preference heterogeneity Random regret minimisation and attribute non-attendance Applications in health economics, transport, marketing, and food science Her methodological innovations enable more efficient data collection and richer behavioural insights in stated-preference surveys, while her applied projects translate patient and consumer preferences into actionable evidence for policy makers and industry. Recent Publications Overview Between 2022 and 2024 Vandebroek (co-)authored 15 key articles. These contributions advance both the statistical machinery of choice modelling—such as mixed random regret models, design-efficient sample-size rules, and consideration-set heuristics—and substantive applications in oncology patient preferences, inflammatory bowel disease treatments, meat-substitute adoption, and food-quality valuation. The work repeatedly integrates sophisticated econometric techniques with real-world stakeholder data, reflecting an overarching commitment to methodological rigour and societal impact. Scientific Awards & Recognition No specific awards are listed in the provided material; however, her sustained publication record in top journals (Journal of Choice Modelling, Food Quality and Preference, Frontiers in Oncology, Stata Journal) attests to significant scholarly recognition. Advising & Grant Activities Promotor (PI) of FWO project “Discrete choice models including screening rules: modeling and design” (2017-2021) Promotor of KU Leuven project “Efficient Online Choice Experiments” (2017-2020) Co-promotor of IWT/FWO project “Empirical and methodological challenges in choice experiments” (2017-2023) Co-promotor of VLAIO project “Development, Validation, and Valorization of a Patient Preference Platform” (2023-2026) Teaching & Service Vandebroek teaches master-level courses “Applications of Statistics” (Dutch and English iterations) and contributes to the Leuven Statistics Research Centre (LStat) educational programme.

Niels Henrik Mortensenمشاهده پروفایل

استاد

• Product Architecture
• Modularization
• Maintenance Performance
• +۳ مورد دیگر

Niels Henrik Mortensen is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on engineering design and manufacturing systems, with emphasis on product architecture, modularization, maintenance performance, and AI-driven design solutions. He leads initiatives in engineer-to-order systems, lifecycle costing, and digital transformation in manufacturing. Key research interests include optimizing product architectures for modular systems, enhancing maintenance strategies through data analytics, and applying AI to improve CAD design reuse. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure, and sustainable energy systems. Supervisor for 5 active PhD projects focused on modular architectures, logistics services, and configuration systems Published 175+ peer-reviewed articles, including work on AI-based maintenance frameworks and configurator development Recipient of industry collaboration projects with offshore energy and manufacturing sectors Notable contributions include frameworks for maintenance performance diagnostics and adaptable configuration models. His team operates through MEK and CONSTRUCT research groups at DTU.

Lütfi Erdenمشاهده پروفایل

دانشیار

• Applied Econometrics
• Macroeconomics
• International Trade and Finance

Lütfi Erden is an Associate Professor in the Department of Economics at Hacettepe University, Ankara, Turkey. He also served as an Adjunct Lecturer at TOBB University of Economics and Technology and the Police Academy. His academic journey includes a Ph.D. from Florida State University and M.Sc. from the University of Colorado at Denver. He specializes in applied econometrics, macroeconomics, and international trade/finance. Education: Bachelor's, Econometrics, Uludağ University (1993) M.Sc., Economics, University of Colorado at Denver (1997) Ph.D., Economics, Florida State University (2002) Research Interests: Focus on econometric modeling of macroeconomic phenomena, public and private investment dynamics, exchange rate pass-through, and regional efficiency analysis. His work often employs panel data techniques and cointegration analysis. Grants & Projects: TÜBİTAK Grant: Effects of Investment Subsidies and Public Investment on Provincial Efficiency (2008–2010) TÜBİTAK Grant: International Transmission of Business Cycles (2011–2012) Awards: Ministry of Education Scholarship for Overseas Graduate Studies. Advising & Teaching: Supervised six Master's theses and teaches courses like Econometrics I/II and Macroeconomics. Active in academic service, including roles as Department Chair and instructor. Labs/Teams: Engaged in interdisciplinary projects on regional economics and international macroeconomics, leveraging TÜBİTAK collaborations.

Geir Haalandمشاهده پروفایل

دانشیار

• Auditing
• Corporate Governance
• Financial Accounting
• +۳ مورد دیگر

Geir Haaland is an Associate Professor in auditing and accounting at the Department of Economics, School of Business and Law, University of Agder. He holds a Master's in Accounting and Auditing from NHH Norwegian School of Economics and is a state-authorized auditor. His research focuses on auditing standards, corporate governance, and sustainability reporting, with notable contributions to the IFRA project. He leads the Master's Program in Accounting and Auditing and has extensive industry experience from PwC. Roles: Associate Professor, Study Program Director (Master's in Accounting & Auditing) Education: Master's in Accounting (NHH), Certified State Authorized Auditor His research emphasizes practical auditing standards (e.g., ISA 315) and regulatory impacts on businesses. He co-authored a seminal article on Norway's adoption of IFRS for SMEs. Teaching includes courses on auditing, corporate governance, and financial accounting. Active in professional circles, Haaland chairs auditing committees, advises on regulatory updates, and collaborates with industry bodies like the Norwegian Institute of State Authorized Public Accountants. His recent work addresses sustainability reporting and anti-money laundering compliance.

Pouria Akbarighatarمشاهده پروفایل

پژوهشگر ارشد

• Responsible Data Science
• Data Studies in Information Systems
• Fuzzy Mathematics
• +۳ مورد دیگر

Pouria Akbarighatar is a PhD Research Fellow in Responsible Data Science at the Department of Information Systems , University of Agder, Norway, and a visiting PhD researcher at the Centre for Information Resilience (CIRES) , University of Queensland Business School. He holds a BSc in Industrial Engineering and an MSc in Information Systems from the University of Tehran. His research focuses on Responsible AI , including maturity models , fairness frameworks , and ethical implementation in sociotechnical systems. His work combines Fuzzy mathematics , decision science , and data science to address uncertainty and complexity in AI systems. Recent publications explore responsible AI principles in practitioner contexts, operationalizing AI ethics , and credibility assessment in online reviews . He contributes to journals like AI and Ethics , IEEE Access , and Expert Systems with Applications , alongside conferences such as ECIS , AMCIS , and PACIS . He teaches courses in Data Science Applications , Algorithmic and Data Structures , and Data Science Applications II . He is affiliated with the Human-Centered AI (HCAI) research group.