جست‌وجوی استاد و پژوهشگر

Irena Mladenovaمشاهده پروفایل

استادیار

• Organizational Change and Development
• Organizational Culture
• Management
• +۳ مورد دیگر

Irena Mladenova, PhD, is an Assistant Professor at the Department of Business Administration, Faculty of Economics and Business Administration (FEBA), Sofia University St. Kliment Ohridski. Her academic role combines research, teaching, and consulting expertise in organizational change, management, and entrepreneurship. She holds a PhD in Organizational Change and Adaptability, an MBA from FEBA, and a Master in Banking and Entrepreneurship from a joint European program. Her professional experience spans over 20 years across private and public sectors, including roles at international consultancies (Kearney, PwC) and the Bulgarian Ministry of Economy. She served as Deputy Minister of Economy in caretaker governments (2013, 2014, 2021) and as Head of Corporate Development in a regional energy firm. Her consulting work focuses on organizational restructuring, strategic planning, and market entry strategies. Research interests include organizational adaptability, digital transformation in SMEs, sustainable development, and entrepreneurship ecosystems. She has advised on mergers, acquisitions, and public-sector reforms, emphasizing practical applications of management theories. Publications highlight themes like digital transformation in SMEs, leadership’s role in organizational adaptability, and governance frameworks for collaborative networks. She actively contributes to academic platforms (ORCID, ResearchGate) and engages with industry through FEBA’s initiatives.

Peter Haasمشاهده پروفایل

استاد

• Data Management
• Machine Learning
• Simulation
• +۶ مورد دیگر

Peter Haas is a Professor at the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, with an adjunct role in Industrial Engineering. Previously, he spent 30 years as a Principal Research Staff Member at IBM Research and held a consulting professorship in Management Science and Engineering at Stanford University. His research focuses on applying probability and statistics to data management, simulation of complex systems, and machine learning scalability. Education : PhD, Operations Research, Stanford University, 1986 MS, Statistics, Stanford University, 1984 MS, Environmental Engineering, Stanford University, 1979 SB, Engineering and Applied Physics, Harvard University, 1978 Research Interests : Haas’s work spans stochastic systems, probabilistic databases (e.g., MCDB and SimSQL), sampling techniques, and simulation optimization. He pioneered methods for managing uncertain data and scalable machine learning, including compressed linear algebra for declarative systems. His recent focus includes in-database decision support and hybrid simulation metamodeling with neural networks. Key Contributions : He developed the Online Aggregation framework (SIGMOD 1997), which earned a Test-of-Time Award in 2007. His work on matrix factorization and distributed stochastic gradient descent (DSGD) revolutionized large-scale machine learning. He also advanced techniques for estimating distinct-values and correlation discovery in databases. Awards : A six-time recipient of IBM’s Pat Goldberg Memorial Award, he is an ACM and INFORMS Fellow. His honors include the VLDB Best Paper Award (2016), EDBT Best Paper (2018), and recognition in Communications of the ACM. Advising & Grants : He advises four current PhD students and has graduated Matteo Brucato. His IBM career included over 30 patents, including foundational work for DB2’s sampling capabilities and IBM Watson analytics. He leads the DREAM Lab, focusing on data systems for exploration and analytics. Labs/Teams : Directs the Data systems Research for Exploration, Analytics, and Modeling (DREAM) Lab, advancing projects like Splash (health system simulation) and SuDocu (document summarization by example).

• Psychology of Power
• Social Hierarchy
• Social Role of Emotion
• +۳ مورد دیگر

Joe C. Magee is a Professor of Management and Organizations at New York University Stern School of Business, serving since 2004. He holds the Mary Jacoby Faculty Fellow appointment and is affiliated with NYU’s Psychology Department and Wagner School of Public Service. His research focuses on the psychology of power, social hierarchy, and the social role of emotion. Magee’s work explores how power differences influence cognition, behavior, and organizational dynamics, with notable findings on power’s dual effects on relationships and effectiveness. He teaches advanced organizational behavior, leadership, and power dynamics courses. Education: Ph.D. in Organizational Behavior from Stanford University (2004) and A.B. in Psychology from the University of Michigan (1996). Awards include the Academy of Management Annals Decade Award (2018), APS Rising Star (2011), and the Academy of Management Best Paper Award (2009). His research has addressed topics such as power’s impact on decision-making, loneliness among leaders, and the role of perspective-taking in effective leadership. Collaborations with scholars like Adam Galinsky and Naomi Rothman have produced influential studies published in top journals like Personality and Social Psychology Review and Organizational Behavior and Human Decision Processes . His work extends beyond academia to practical applications, such as improving healthcare outcomes by addressing power imbalances between physicians and patients. Magee’s interdisciplinary approach bridges psychology, management, and public policy, emphasizing the societal implications of hierarchical structures.

• Computer Science
• Machine Learning
• Health Monitoring Systems
• +۷ مورد دیگر

Muhammad Waqas is a researcher affiliated with COMSATS University Islamabad , where he holds a position in the Department of Meteorology under the School of Applied Sciences and Humanities . His academic collaborations span institutions like Bahria University, National University of Technology, and University of Bahrain, indicating a multidisciplinary approach. Research interests include Mechanisms for integrating fuzzy logic and machine learning in health monitoring Application of deep learning to medical imaging and clinical diagnostics Development of smart sensors for wearable technology in biomechanics Analysis of social media data for public health surveillance and sentiment analysis Investigation of digital citizenship and ICT leadership in educational contexts Trends in his 15 most recent publications (2025-2024) reveal a focus on medical diagnostics (e.g., monkeypox, breast cancer), smart infrastructure (e.g., sensor placement, structural health monitoring), and social media analytics for health and behavioral insights. These works leverage machine learning , fuzzy systems , and multi-objective optimization .

Saibal Rayمشاهده پروفایل

استاد

• Supply Chain Management
• Supply Chain Risk Management
• Retail Operations Management
• +۳ مورد دیگر

Saibal Ray is a James McGill Professor of Operations Management and Vice-Dean, Faculty at the Desautels Faculty of Management, McGill University. He holds the Desautels Business Leadership Chair and has served in multiple academic leadership roles, including Vice-Dean, Research and Academic Director of the Bensadoun School of Retail Management. His expertise spans supply chain management, risk management, and retail operations, with a focus on agri-food and natural resources sectors. He has published extensively in top journals like Management Science and Operations Research, and holds editorial roles at journals such as Production and Operations Management. Ray earned a PhD from the University of Waterloo, an MEng from the Asian Institute of Technology, and a BEng from Jadavpur University. His research bridges operations and marketing, addressing challenges like supply chain risk, pricing strategies, and sustainability. He has secured major grants from NSERC, SSHRC, and Quebec agencies, and received awards including the Desautels Faculty Scholar and Quebec Teaching Excellence Award. His teaching focuses on operations and supply chain management at the MBA and graduate levels. Ray’s work integrates academic leadership with practical impact, advising on initiatives like the McGill Center for the Convergence of Health and Economics. His recent research explores behavioral retail tactics, health-conscious bundling, and supply chain resilience in dynamic markets.

Michael Möhringمشاهده پروفایل

استاد

• Data Science
• Big Data Analytics
• Industry 4.0
• +۴ مورد دیگر

Prof. Dr.-Ing. Michael Möhring is a Professor of Data Science at Reutlingen University's Faculty of Informatics. He serves as Prodekan for the Herman Hollerith Zentrum (HHZ) and leads research in data analytics, Industry 4.0, and process mining. Previously, he held roles as an IT consultant, project manager at Bosch Group/BSH, and academic researcher. Education: Dr.-Ing. (PhD) in Business Informatics M.Sc. in Business Informatics B.Sc. in Business Informatics Research Interests: Focuses on leveraging structured/unstructured data for industrial applications, enterprise architecture management, digital twins integration, and AI-driven decision support. Specializes in bridging technical systems with organizational processes in manufacturing and service industries. Lab Affiliations: AI-Real Lab AIDA Future Mobility Lab Internet of Things Lab Virtual Reality Lab Articles Trends: Recent work emphasizes practical implementations of AI in production failure analysis (language models), energy optimization systems (HollerithEnergyML), and technical debt management in SMEs. Consistently explores data integration challenges across manufacturing, service ecosystems, and digital twin frameworks. Grants & Collaborations: Active in EU-funded projects like 5G-PreCiSe and bwHealthApp. Collaborates with industry partners on digital transformation initiatives through HHZ's applied research programs.

Andrea Morichettaمشاهده پروفایل

دانشیار

• Blockchain Technology
• Smart Contracts
• Business Process Management
• +۴ مورد دیگر

Andrea Morichetta is an Associate Professor at the University of Camerino (UNICAM). His research focuses on blockchain technology, smart contracts, and business process management. He explores the integration of blockchain with choreography-based systems, model-driven engineering, and process mining. His work addresses challenges in smart contract testing, distributed systems coordination, and auditability in decentralized applications. Key research areas include: Blockchain-based execution frameworks for BPMN choreographies Mutation testing strategies for Solidity smart contracts Decentralized identity systems using blockchain Event log analysis for Ethereum applications His publications highlight advancements in: Smart contract security and testing methodologies Choreography-driven architectures for IoT and MLOps Formal analysis of business process collaborations He contributes to international conferences and workshops on blockchain, enterprise modeling, and business informatics research. His work bridges theoretical foundations with practical implementations in distributed systems and process automation.

Bas Donkersمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing Research
• Choice Modeling
• +۴ مورد دیگر

Bas Donkers is a full Professor of Marketing Research at the Department of Business Economics within Erasmus School of Economics (ESE), Erasmus University Rotterdam. Affiliated with ERIM (Erasmus Research Institute of Management) since 2000, he holds a prominent position in the field of consumer behavior and marketing analytics. His research examines consumer decision-making from a behavioral perspective, building on advanced market research and machine learning techniques to generate groundbreaking insights. His research interests center on consumer behavior , choice modeling , and marketing analytics , with significant contributions to healthcare decision-making and financial investment contexts. Donkers has published extensively in leading journals including Journal of Marketing Research, Marketing Science, and Journal of the Academy of Marketing Science. His recent work demonstrates a clear trajectory toward integrating machine learning with traditional choice modeling, particularly in healthcare applications (35% of recent publications) and digital consumer behavior (25%), with growing emphasis on AI-driven decision support systems. ERIM Top Article Junior Award (2017) ERIM postdoc fellowship (2002) Donkers has supervised 13 PhD candidates to completion, serving as promotor or co-promotor on diverse topics spanning retirement planning, charitable giving, healthcare choice modeling, and digital marketing analytics. His research has been supported through ERIM frameworks and collaborative projects with healthcare institutions. He actively coordinates academic events including the Invitational Choice Symposium and regularly presents at specialized research seminars. As a core member of ERIM's Marketing Group, Donkers contributes to the institute's research infrastructure focused on behavioral decision modeling and choice experimentation. His work bridges theoretical marketing research with practical applications in healthcare policy and financial services, maintaining strong connections with industry partners through ERIM's business engagement initiatives.

Masato Kikuchiمشاهده پروفایل

دانشیار

• Instructional Technology
• Intelligent Computer-Assisted Language Instruction (CALI)
• Japanese Language
• +۴ مورد دیگر

Dr. Masato Kikuchi is an Associate Professor of Japanese in the School of Modern Languages at Georgia Tech. He holds a PhD from the University of Pittsburgh (1995), an M.S. in Intercultural Communication (1982), and a B.A. from International Christian University (1979). His research focuses on instructional technologies for language acquisition, particularly leveraging virtual worlds like Second Life for immersive Japanese learning. He has developed platforms such as the 'Sky Platform at EduNation III,' exploring 3D visualization for grammar concepts and comparative studies on 3D vs. 2D language learning tools. Dr. Kikuchi teaches advanced and intermediate Japanese courses, specializing in CALL (Computer-Assisted Language Learning), technical translation, and intercultural communication. His work emphasizes integrating technology into language education, including courseware design for online and hybrid learning environments. Recent projects include software for virtual world-based communicative practice and research on NMT (Neural Machine Translation) as a pedagogical tool. His publications span conference proceedings, courseware development, and software tools like the 'Understanding Written Japanese' CD-ROM series. He actively presents on topics such as virtual world design, information gap exercises, and Japanese course design. His research aligns with Georgia Tech’s focus on STEM-integrated language education and international collaborations.

Julia Hartmannمشاهده پروفایل

استاد

• Sustainability Management
• Climate Change Mitigation
• Energy Transition Strategies
• +۵ مورد دیگر

Professor Julia Hartmann serves as the Chair of Sustainability Management at EBS Business School, part of EBS Universität für Wirtschaft und Recht in Oestrich-Winkel, Germany. Her research focuses on climate change mitigation, energy transition strategies, sustainable supply chain resilience, and ESG compliance. She leads a team supported by industry partners like Procter & Gamble and Tetra Pak, emphasizing practical applications of sustainability theory. Her work bridges data analytics (machine learning, natural language processing) with business strategies, published in top journals such as Journal of International Business Studies and Journal of Business Ethics . Hartmann teaches courses on strategic CSR, environmental management, and empirical data techniques, advising companies on ESG leadership and future readiness. Her recent work examines oil and gas industry transitions, supply chain liability, and pandemic resilience. She actively engages with media (TV, podcasts) to discuss sustainability challenges, contributing to public discourse on energy policy and corporate responsibility. Education & Career: While formal academic qualifications are not explicitly listed, her extensive publication record and professorial role indicate advanced doctoral training in business administration or related fields. She has held leadership roles at EBS since assuming the chair position. Research Interests: Her work spans three core areas: 1) Sustainable supply chain design and resilience, 2) Energy transition pathways for industries, and 3) Quantitative methods for measuring ESG impacts. She explores how media attention, legal frameworks, and consumer behavior shape corporate sustainability outcomes. Awards & Recognition: While no specific awards are cited, her peer-reviewed publications and industry partnerships reflect scholarly and practical impact. She was an invited speaker at major conferences like EurOMA 2024 and Arthur D Little CEO Insights Conference. Grants & Collaboration: Partnerships with Procter & Gamble and Tetra Pak support applied research initiatives. Her lab focuses on bridging academic insights with industry implementation through joint projects and executive education programs. Labs/Teams: The Chair of Sustainability Management serves as her primary research hub, hosting interdisciplinary projects on supply chain governance, climate policy, and digital sustainability tools.

Jeff Jacobمشاهده پروفایل

استاد

• Economic Development
• Applied Econometrics
• Business Analytics
• +۳ مورد دیگر

Dr. Jeff Jacob is a Professor of Economics at Bethel University, affiliated with the College of Arts and Sciences and the College of Adult and Professional Studies. His academic career began at Bethel in 2007, following roles at leading Indian economic policy think tanks focusing on international trade. He holds degrees from St. Stephen's College, Delhi School of Economics, and Southern Methodist University (SMU), including a Ph.D. in Economics (2006). Teaching focuses on economics and business analytics across undergraduate, adult, and MBA programs, covering courses like Data Mining, Econometrics, and Managerial Economics. His pedagogy emphasizes critical thinking, real-world problem-solving, and ethical considerations rooted in Christian faith principles. Research interests span applied econometrics, economic development, business analytics, and the economics of religion. Notable studies include analyses of democracy-growth linkages, social networks’ impact on homeownership, and the role of institutions in trade and geography. His work often employs panel data methods to explore complex socioeconomic questions. Publications include high-impact papers on topics like corruption reforms, drug policy effects, and sexual regulation trends. He has received grants for course development and academic initiatives, and maintains membership in Omicron Delta Epsilon. Presentations at conferences like APEE and the Southern Economic Association highlight his contributions to public choice theory and development economics.

Fariss-Terry Mousaمشاهده پروفایل

استاد

• Entrepreneurship
• Strategic Management
• Innovation Management
• +۴ مورد دیگر

Fariss-Terry Mousa, Ph.D., is a Professor of Management and Zane D. Showker Professor of Entrepreneurship at James Madison University's College of Business. He holds a Ph.D., M.B.A., and B.A. from Washington State University. His research focuses on entrepreneurship, strategic management, and innovation, with a particular emphasis on IPO processes, board dynamics, and high-tech industry challenges. He has held academic roles at JMU since 2009, progressing from Assistant to Associate and full Professor. Dr. Mousa's work bridges academic and practical domains, including studies on mobile technology in education and corporate governance. He has received significant awards like the 2022 MBA Graduate Teaching Award and the 2016 Provost’s Distinguished Teacher Award. His research spans over two decades, addressing topics such as CEO power, venture capital conflicts, and SME alliance strategies. He is affiliated with the Center for Entrepreneurship and contributes to the MBA Program, emphasizing experiential learning and innovation. His publications analyze IPO underpricing, board member self-interest, and the impact of slack resources on innovation. Collaborations include studies with institutions like Seoul’s CSES and Ivey Publishing. He maintains a robust presence in scholarly communities through Google Scholar and LinkedIn, showcasing his leadership in entrepreneurship education and research.

Sara Shafieeمشاهده پروفایل

پژوهشگر

• Product Configuration Systems
• Manufacturing Engineering
• Artificial Intelligence Applications
• +۵ مورد دیگر

Sara Shafiee is a Senior Researcher at the Department of Civil and Mechanical Engineering , Technical University of Denmark (DTU) . She specializes in product configuration systems, manufacturing engineering, and AI-driven innovation. Her work bridges technical systems with organizational agility, emphasizing sustainability and customer-centric design. External Roles: Founder & CEO of DivERS (Jan 2021–) External Lecturer at Copenhagen Business School (2022–2024) Senior Business Consultant at Haldor Topsoe AS (2017–2019) Research Focus: Her work addresses challenges in product configuration systems, generative AI applications, and sustainable construction. Key themes include: Optimal product design through recommendation systems Agile methodologies in knowledge-intensive development Environmental impact monitoring via configurators Publications Trends (2023–2025): Recent work explores AI-driven manufacturing optimization, consumer-centric innovation strategies, and the integration of environmental monitoring into design systems. High-impact areas include generative AI applications (13K+ downloads) and modular construction configurators. Awards: Agnes & Betzy Award (2025) Nordic Women in Tech Leadership Award (2022) Best Digital Startup (Venture Cup Denmark, 2021) Innovation Fund Denmark Role Model (2018) Advising & Grants: Supervised PhD projects on recommendation systems and configurator design. Lead PI of the RECODE project (DFF Grant DKK 10M+, 2024–2027) focusing on deep learning for engineer-to-order systems. Labs & Teams: Core member of DTU’s Design and Manufacturing Systems group, collaborating with industry partners like Haldor Topsoe and DivERS to develop scalable configurator solutions.

Nuno Fernandes Crespoمشاهده پروفایل

دانشیار

• International Business
• Entrepreneurship
• International Entrepreneurship
• +۳ مورد دیگر

Nuno Fernandes Crespo is an Associate Professor at the Department of Strategic Management and Marketing, Lisbon School of Economics & Management (ISEG), University of Lisbon. He holds a PhD in Management (2013), a Master's in Management and Industrial Strategy (2004), and a Bachelor's in Management (1999) from ISEG. His research focuses on International Business, Entrepreneurship, and Strategic Agility in international new ventures (INVs), particularly during crises. He has published extensively in journals like International Business Review , Journal of International Management , and Technological Forecasting & Social Change . His 15 most recent works (2023–2025) explore themes including: Business model innovation during crises Supplier-country image effects in B2B marketing Sustainable entrepreneurship in family firms Digitalization and early internationalization strategies Country-of-origin stereotypes in industrial marketing Dynamic capabilities in INVs He supervises Master's students in topics spanning internationalization, digital transformation, family business strategy, and innovation. Professional roles include coordinating the Master's in Management and Industrial Strategy (2016–2022), serving on ISEG’s Executive Commission, and leading the Doctoral Program in Management (2018–2022). His methodology integrates empirical research, mixed methods, and configurational approaches.

• Business Value of IT/IS
• Digital Transformation
• Robotic Process Automation
• +۳ مورد دیگر

Mondher Feki is an Associate Professor of Management at Université Paris-Saclay, focusing on IS/IT management and digital transformation. His research explores blockchain applications in supply chains, robotic process automation (RPA), robo-advisors, and generative AI. He teaches Management Information Systems and Data Management courses. Currently serving as a reviewer for journals like Business & Information Systems Engineering and conferences like HICSS and ECIS. Active member of the Association Information & Management (AIM). Key research areas include digital transformation strategies, blockchain's operational impact, AI-driven financial advisory systems, and RPA implementation in insurance sectors. His work emphasizes technology adoption challenges and strategic alignment in business contexts. Recent publications analyze blockchain use in French retail logistics, RPA benefits for Allianz France, and IS quality's strategic role in firm performance. Conference contributions address robo-advisors in crowdfunding and pandemic-driven higher education innovation. Maintains active academic service roles in peer review and conference organization.