Find Academic Supervisors

Piotr SzwedView profile

Lecturer

• Data Mining
• Software Engineering
• Computational Intelligence
• +5 more

Dr inż. Piotr Szwed is a Lecturer in the Department of Applied Computer Science at AGH University of Science and Technology, Kraków. He is affiliated with the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering (EAIiIB), where he teaches courses ranging from imperative and object-oriented programming to data exploration and computational intelligence. Research Interests: Data mining and knowledge discovery Fuzzy cognitive maps and their applications in transportation, risk assessment, and security Software engineering methodologies, including agile and ontology-driven development Intelligent transportation systems (ITS) and real-time traffic management Natural language processing for Polish texts, stylometry, and authorship attribution Ontology engineering, enterprise architecture verification, and model checking His work often bridges theoretical computer science with practical applications in urban mobility, safety systems, and enterprise software. Scientific Contributions: Pioneered the integration of fuzzy cognitive maps with evolutionary algorithms to predict traffic flows. Developed rule-based and machine-learning approaches to determine speed limits from geospatial data. Contributed to the INSIGMA intelligent transportation system aimed at enhancing urban mobility in Polish cities. Created formal verification techniques for ArchiMate business processes using NuSMV model checking. Advanced stylometric analysis for Polish texts, introducing part-of-speech features for authorship attribution. Teaching & Academic Service: Regularly teaches Programming (C, C++, Java), Software Engineering, Data Exploration, and Computational Intelligence. Supervises engineering and master theses in applied computer science. Maintains a public wiki with course materials, lab exercises, and consultation schedules for students. Utilizes Git-based repositories to streamline code submission and continuous assessment in laboratory classes. Laboratory & Facilities: He is located in building C-2, room 403, at AGH’s main campus, al. Mickiewicza 30, 30-059 Kraków. The lab supports courses that emphasize practical software development, version control, and collaborative project work.

• Operations Research
• Production and Operations Management
• Scheduling Theory and Applications
• +3 more

Chuen-Lung Chen is a Professor in the Department of Management Information Systems at National Chengchi University's College of Commerce in Taipei, Taiwan. He holds a Ph.D. in Industrial and Systems Engineering from Auburn University in the United States, with additional graduate and undergraduate degrees from Tamkang University and Chung Yuan Christian University in Taiwan. His research focuses on Applied Operations Research, Production and Operations Management, and Scheduling Theory and Applications . Professor Chen has developed numerous optimization algorithms and heuristics for solving complex scheduling problems in manufacturing and service industries, with applications extending to financial engineering and knowledge management systems. His work bridges theoretical operations research with practical business applications, particularly in production planning and resource allocation. Analysis of his recent publications reveals a consistent focus on flow shop scheduling problems, with increasing applications to financial modeling and knowledge integration systems. His research methodology combines traditional operations research techniques with evolutionary computation approaches like genetic algorithms and particle swarm optimization. Distinguished Professor award (2016-2017, 2015-2016, 2012-2013) Senior Excellent Teacher Award (10 years, 2010) Academic Research Excellence Award (2010) Multiple Internationalization Research Excellence Awards (2007-2008) Outstanding Service Teacher Award (2008) Outstanding Teaching Award (2002) MOST First-Class Research Award (1990) Professor Chen has secured substantial research funding through Taiwan's Ministry of Science and Technology (MOST), directing numerous projects on scheduling algorithms, financial modeling, and management information systems. He has held significant administrative roles including Department Chair (2011-2014), Deputy Dean of the College of Commerce (2008-2016), and Director of the International MBA Program (2011-2016). His leadership extends to directing international programs and contributing to university-wide initiatives for English-taught degree programs. His work demonstrates a sustained contribution to both theoretical advancements in operations research and practical applications in manufacturing and financial systems, with a research trajectory showing increasing interdisciplinary connections between operations management and information systems.

• Business Administration
• Controlling
• Accounting
• +4 more

Prof. Dr. Rainer Moll serves as an active Professor in the Department of Economics within the Faculty of Economics and Law at the University of Applied Sciences Cologne (TH Köln). His academic appointment is based at the Institute of Business Administration, located at Claudiusstraße 1 in Cologne, Germany. The Faculty of Economics and Law represents one of the largest business faculties in Germany, with particular distinction in offering insurance as both a major and dedicated degree program. Professor Moll's research focuses primarily on business administration with special emphasis on controlling and accounting methodologies. His work demonstrates significant application to industrial processes, particularly in optimization techniques for manufacturing environments. His expertise bridges theoretical business administration with practical industrial applications, creating valuable connections between academic research and real-world business challenges. His publication record shows concentrated research activity during the 1980s, with notable contributions in cutting optimization for the corrugated board industry and integrated project management systems. These works represent interdisciplinary research connecting operations research, industrial engineering, and business administration. The progression of his publications reveals an evolution from specific optimization techniques toward more comprehensive systems approaches, including the development of expert systems for decision support in industrial planning. Professor Moll maintains professional contact through his email address rainer.moll@gmx.de and is associated with the Institute of Business Administration at TH Köln. His work has contributed to the faculty's reputation for application-oriented research with strong practical relevance in business administration fields.

• Language Program Evaluation
• Research-Practice Relationship
• Second Language Acquisition
• +5 more

Matt Coss is an Assistant Professor of Applied Linguistics in the Department of Modern Languages & Classics at the University of Alabama. His work bridges research and practice in second language acquisition, focusing on task-based language teaching, language assessment, and curriculum design. Education: PhD (Michigan State University), MA (University of Maryland), BA (UNC Chapel Hill) His research examines the practical applicability of applied linguistics findings, with specific projects analyzing assessment validity, digital pedagogy, and student persistence in language learning. Recent publications investigate: Comparative L2 Chinese writing assessments AI-assisted language testing Mobile-assisted language learning for adults Hanzi pedagogy in digital environments Dr. Coss also serves as: Co-convener of Collective Wisdom (ACTFL's The Language Educator) Co-section Editor for Language Awareness journal Organizing team member for the 2026 American Association for Applied Linguistics conference

Shiko Ben-MenahemView profile

Senior Lecturer

• Organizational Design
• Innovation Processes
• Digital Health
• +5 more

Shiko Ben-Menahem is a Senior Lecturer (with habilitation) at the Chair of Strategic Management and Innovation at ETH Zurich and an Adjunct Associate Professor at NYU Stern School of Business, Department of Technology, Operations, and Statistics. His research focuses on innovation processes and strategy in healthcare, medical devices, and life sciences industries. Ben-Menahem has published extensively in top-tier journals including Academy of Management Journal, Nature Biomedical Engineering, and Research Policy. Education: Ph.D. in Strategic Management, Rotterdam School of Management, Erasmus University (2013) MSc in Strategic Management (Cum Laude), Rotterdam School of Management, Erasmus University MPhil in Business Research (Cum Laude), Erasmus Research Institute of Management (ERIM) Research Interests: Ben-Menahem's research examines how digital technology shapes and is shaped by organizational design and innovation processes. He investigates coordination of cross-disciplinary knowledge creation, with particular focus on digital health, healthcare innovation, and pharmaceutical drug development. His work bridges theoretical insights with practical applications in complex healthcare ecosystems, exploring how organizations navigate innovation under conditions of complexity and uncertainty. Publication Trends: Ben-Menahem's recent publications reveal a strong focus on healthcare innovation, particularly in the context of digital transformation and organizational adaptation. His work spans from understanding patient complexity in HIV treatment to analyzing the impact of regulatory changes on medical device innovation. A significant thread in his research examines how organizations coordinate knowledge creation across disciplinary boundaries, with particular attention to rare disease drug repurposing and multidisciplinary team dynamics in early-stage drug discovery. Scientific Awards: Academy of Management Discoveries, 2020, Best Paper Runner-Up Award AOM Organizational Behavior Division, 2020 Best Dissertation-Based Paper Award Swiss National Science Foundation (SNF), 2017: 'Leading and Coordinating Knowledge Creation in Online Communities' CHF 356'000 Best Visiting Lecturer, 2017/2018 - Estonia Business School Advising and Grants: Ben-Menahem supervises Master's theses on knowledge creation and evaluation under complexity, cross-disciplinary coordination, innovation in health science, pharmaceutical drug development processes, and organizing health care. His grant portfolio includes significant funding from the Swiss National Science Foundation for research on coordinating knowledge creation in online communities. He has also served as a Special Issue Editor for Research Policy and on the Editorial Review Board of Academy of Management Discoveries. Professional Roles: Ben-Menahem has been active in conference organization, serving as Conference Co-Chair for the Israel Strategy Conference in 2017 and 2021, and as a member of the Scientific Committee for the EGOS Colloquium 2018. He is also an ad hoc reviewer for numerous prestigious journals including Academy of Management Review, Academy of Management Journal, and Strategic Management Journal.

Anna R McAlisterView profile

Assistant Professor

• Consumer Behavior
• Developmental Psychology
• Health Communication
• +7 more

Anna R McAlister is an Assistant Professor at Michigan State University's College of Communication Arts & Sciences, joining in 2012. Her research focuses on applying developmental psychology to children's consumer behavior, particularly examining food brand knowledge, advertising responses, and food preference formation. Deputy Editor, Journal of Marketing Communications Editorial Board Member: Journal of Advertising, Journal of Interactive Advertising, Journal of Advertising Education She specializes in policy-oriented studies related to food advertising, health communication, and media multitasking effects. Her recent work explores AI integration in marketing education and ethical advertising practices. Selected publications highlight her research in food policy , media effects , and pedagogical innovation . She teaches courses on consumer behavior, advertising strategy, and persuasion techniques. Scientific awards include: 2015 MSU Teacher-Scholar Award Associated with the Health and Risk Communication Center, her interdisciplinary work bridges communication, marketing, and public health domains.

Amélie Josselin-LerayView profile

Professor

• Lexicography
• Terminology
• French Sign Language (LSF)
• +5 more

Amélie Josselin-Leray is a Professor at Toulouse Jean Jaurès University's Department of Translation, Interpreting and Linguistic Mediation (D-TIM) and a researcher at the Cognition, Languages, Ergonomics (CLLE) center. She was awarded highest honors with unanimous congratulations from the jury for her 2005 doctoral thesis on terminology in general dictionaries at Université Lumière Lyon 2. Her current roles include Director of D-TIM, Co-director of the Master TIM program, and Co-referent for Open Science at CLLE. Université Lumière Lyon 2 (PhD, 2005) École Normale Supérieure de Cachan (1996-2001) Her research focuses on lexicography , terminology , and French Sign Language (LSF) , with particular interest in online dictionary tools , corpus linguistics , and translation technology . Her recent publications examine digital transformations in lexicography, STEM sign language resources, and knowledge-rich contexts for translation. Academic trends in her 2023-2024 articles include digital lexicography (5), sign language terminology (3), corpus-based translation (4), and machine translation integration (2). These works emphasize user-centered design , technology adaptation , and terminological validation in specialized contexts. Scientific awards include highest honors with unanimous jury congratulations for her 2005 thesis. She serves on editorial boards and professional associations like AFFUMT, and leads the MultiTraiNMT European project. Her teaching portfolio includes courses on Corpus Linguistics , Specialized Translation , and Translation Technologies at both undergraduate and graduate levels. She has held visiting positions at institutions in the USA and Ireland.

• semantic technologies
• modeling
• multi-service systems
• +3 more

Natalia Anatolyvna Kulikovska serves as a Senior Lecturer at the Department of Computer Systems and Networks within the Faculty of Computer Science and Technology at Zaporizhia National Technical University. She has maintained a continuous academic affiliation with the university since 2010, contributing significantly to both teaching and research initiatives in computer science and technology. Dr. Kulikovska completed her higher education at Zaporizhia National Technical University, graduating in 2010 with a Master's degree in "Specialized Computer Systems" and further specializing in "Organizational Management" in 2011. Her academic credentials are complemented by multiple scholarly identifiers including Scopus (ID: 57208667683), ResearcherID (AAE-4642-2019), Google Scholar, and ORCID (0000-0003-4691-5102). Her research expertise spans semantic technologies, modeling, multi-service systems, ontology, web services, and Service-Oriented Architecture (SOA). Dr. Kulikovska's scholarly work demonstrates a progressive evolution from theoretical foundations in distributed knowledge-based systems toward practical implementations in Internet of Things applications. Her early publications focused on semantic service structures and distributed knowledge systems, while her recent work (2022-2024) shows a pronounced shift toward practical IoT applications addressing real-world challenges in environmental monitoring, temperature control, and security protocols. Analysis of her recent publications reveals a consistent research trajectory focusing on the intersection of semantic technologies with IoT implementations. Her work addresses critical challenges in data transmission integrity, system resilience, security measures for IoT devices in fog computing environments, and the integration of Big Data analytics with distributed sensor networks. Notably, her research on chatbot applications for environmental control represents an innovative fusion of natural language processing with practical IoT solutions. As an educator, Dr. Kulikovska teaches courses in modern internet technologies, information protection, software engineering, and modern programming methods. Her teaching methodology likely integrates her research findings, providing students with current knowledge in rapidly evolving technological domains. While specific details about her advising responsibilities are not available in the provided text, her extensive publication record suggests active mentorship of students in research projects related to distributed systems and IoT technologies. Her laboratory and team affiliations are not explicitly detailed in the available information, though her research focus suggests potential involvement with university centers specializing in computer modeling, intelligent systems, and IoT development. Her work on green computing in Ukraine indicates engagement with sustainability initiatives within the technological sector.

Baniyelme ZoogahView profile

Professor

• Strategic Alliance Management
• Environmental Sustainability
• Strategic Followership
• +7 more

Dr. Baniyelme Zoogah is a Professor and Area Chair of Human Resources and Management at the DeGroote School of Business, McMaster University in Ontario, Canada. He holds a PhD from The Ohio State University and serves as a McMaster Global Ambassador, recently leading strategic engagement initiatives in Ghana that resulted in a Memorandum of Understanding with Kwame Nkrumah University of Science and Technology (KNUST). Dr. Zoogah's research spans four major streams at the intersection of individuals, teams, organizations, and societies: Strategic Alliance Management: Examining capabilities in strategic alliances, with contributions to strategic alliance mental models Environmental Sustainability: Investigating manager and organizational signatures in sustainability, including his highly cited work on "The dynamics of Green HRM behaviors" Strategic Followership: Exploring how followers contribute to organizational objectives through transcendent and restorative approaches, with two books on the subject Management History: Historicizing management issues, with his award-winning paper "Academic Athena: Writing in Africa in Management and Organization Science" A unifying theme across his work is the emphasis on African contexts in exploring development issues across both macro (strategy, international business) and micro (HRM, organizational behavior) domains. Analysis of Dr. Zoogah's recent publications (2024-2025) reveals a strong interdisciplinary focus bridging leadership theory, sustainability, business ethics, and decolonizing management studies. His work demonstrates how indigenous knowledge systems, particularly from African contexts, can enrich global management scholarship while addressing practical organizational challenges related to environmental sustainability, ethical leadership, and cross-cultural management. His notable recognition includes: Journal of Management History Award for Best International Paper at the 2022 Academy of Management Annual Meeting As Area Chair of Human Resources and Management, Dr. Zoogah plays a significant leadership role at DeGroote. His recent strategic engagement in Ghana involved meetings with Dr. Jemima Asabea at the University of Ghana and Dr. Daniel Y.A. Duah at KNUST, exploring collaborations in business development, climate change, and artificial intelligence. He remarked: "This trip reaffirmed my belief in the transformative power of international partnerships... when institutions work together, we not only create knowledge—we create impact." While specific information about dedicated research labs isn't provided, Dr. Zoogah's work appears conducted through transnational academic networks spanning McMaster University and multiple African institutions, facilitating knowledge co-creation across geographical boundaries.

Asta SlotkienėView profile

Associate Professor

• Software quality assurance
• Software development processes
• E-learning systems
• +3 more

Assoc. Prof. Dr. Asta Slotkienė is an Associate Professor and Researcher at the Cybersocial Systems Engineering Group , Institute of Mathematics and Informatics, Vilnius University , Lithuania. She has been a faculty member since at least 2009 and is based at Akademijos St. 4, Vilnius. Education PhD in Computer Science Engineering, Kaunas University of Technology (2009) MSc in Computer Science Engineering, Kaunas University of Technology (2004) BSc in Physics and Computer Science, Šiauliai University (2002) Research Interests Dr. Slotkienė’s research spans software quality assurance , development process improvement , e-learning systems , and cognitive decision-making . She investigates how rigorous evaluation methodologies and AI techniques can enhance the reliability and usability of software products and services. Her recent work explores the intersection of large language models and automated software testing , as well as the modeling of web service quality using fuzzy logic and ontology-based approaches. Research Trends Across her latest publications, a clear trend emerges toward leveraging AI and machine learning , particularly large language models , to automate and improve software testing practices. Simultaneously, she continues to deepen the theoretical foundations of software and service quality modeling , integrating fuzzy logic , ontology engineering , and bibliometric analyses to build robust frameworks for quality evaluation. Scientific Service & Awards Program Committee Member: ACM/SIGAPP SAC (2023–2025) Organizing Committee Member: Baltic DB&IS 2024 Program Committee Member: SS AIEDUMED’25, CompSysTech’25 Reviewer for Informatica, Baltic Journal of Modern Computing, New Trends in Computer Sciences Projects & Funding 2022–2026 Master of Science in Smart, Secure and Interconnected Systems (EU Grant 101083531) 2022–2024 Embracing RAD Skills for Employability and Innovation 2020–2022 AI-Enhanced Accounting and Business Management Systems (Grant 01.2.1-LVPA-K-856-01-0083) 2014–2018 Erasmus+ “Open University for Virtual Mobility” (2014-1-LT01-KA203-000550) 2012–2015 Tempus “High Objectives of National Organizational Reform” (530284-TEMPUS+1-2012-1-ES-TEMPUS-JPHES) International Collaboration & Training Through multiple Erasmus+ teaching and learning visits (Las Palmas de Gran Canaria, Madeira, Azores, Maia), as well as participation in DeepLearn schools and professional training (Devbridge/Cognizant Softvision, Robotic Process Automation, Creative Commons, Contextual Modeling), Dr. Slotkienė actively fosters cross-border academic cooperation and continuous professional development.

• Ethnology
• Material Culture Studies
• Affective Materiality
• +3 more

Anna Kajander is a Postdoctoral Researcher at the Department of History and Ethnology, Faculty of Humanities, University of Jyväskylä. Her academic work centers on ethnological approaches to material culture with particular emphasis on affective dimensions of everyday objects and domestic spaces. Her research interests span affective materiality , autobiographical approaches to object studies , and digital transformations in ethnographic methods . Key focus areas include: Emotional and sensory experiences of home environments Material memory and object biographies Digital humanities methodologies Pandemic-era domestic material culture Recent publications demonstrate consistent engagement with atmospheres of home, sensory experiences of everyday objects, and AI integration in ethnological research. Her 2024-2025 works particularly highlight the intersection of digital tools and affective materiality studies. Kajander actively contributes to major research initiatives including the Sensory and Material Memories project (Research Council of Finland, 2020-2024) and the Finnish Digital Citizen Science Center (funded by Jane and Aatos Erkko Foundation, 2024-2028). She co-edited the significant Finnish-language methods volume Kulttuurien tutkimuksen menetelmät (2022), which addresses contemporary challenges in cultural research methodology. Her conference presentations focus on developing AI-based tools for qualitative research and experiential knowledge collection, reflecting her commitment to methodological innovation in ethnology.

Marcel HebingView profile

Professor

• Data Science
• Machine Learning
• Statistics
• +5 more

Marcel Hebing serves as Professor of Data Science at the Digital Business University of Applied Sciences (DBU), founder of Impact Distillery (mStats DS GmbH) and kaleidemoskop GmbH, and Associate Researcher at the Alexander von Humboldt Institute for Internet and Society (HIIG). Previously, he contributed to the Socio-Economic Panel (SOEP) at the German Institute for Economic Research (DIW Berlin) for seven years, developing critical data infrastructure for one of the world's largest social science datasets. His interdisciplinary background in computer science, sociology, statistics, and business informatics underpins his research approach. This foundation enables unique perspectives on data quality, interpretation challenges, and machine learning applications in societal contexts. Research Interests Hebing's work centers on three interconnected pillars: (1) generating robust, application-oriented insights through classical statistics and machine learning; (2) building automated infrastructures for end-to-end data management and analysis; and (3) enforcing rigorous quality standards throughout analytics project lifecycles. His current projects address urgent societal challenges including the BMBF-funded InnoTwin (digital twin of German society), ESG forecasting models for sustainable corporate governance, normative AI frameworks, and exploratory modeling for evidence-based decision-making. These efforts consistently bridge technical data science with social science applications. Publication Trends His publication record reveals a decade-long evolution from foundational data infrastructure work (2012-2017) toward contemporary examinations of AI's impact on research systems. Early publications focused on metadata standards, panel data management, and the sociology of data sharing, while recent work investigates large language models' implications for science (2023) and sustainable impact frameworks. Across all periods, his research maintains strong interdisciplinary connections between computer science, social science, and science policy, with consistent emphasis on practical implementation and societal relevance. Scientific Awards No specific scientific awards, fellowships, or medals are documented in the available sources. Grants and Advising Current Projects: Leading BMBF-funded InnoTwin initiative, ESG forecasting framework development, normative AI deployment systems, and exploratory modeling for robust decision-making (EMA) Advising: No information regarding formal student supervision or advisee relationships is provided in available materials Labs and Teams Through Impact Distillery (mStats DS GmbH), Hebing directs applied data science teams translating technical solutions into business and policy contexts. At HIIG, he contributes to the 'Knowledge & Society' research program examining digital transformations in knowledge production, while co-organizing initiatives like the Impact School workshops and Pop-Up Labs on inclusive AI. His leadership integrates academic research with entrepreneurial execution across multiple organizational contexts.

Vinit ParidaView profile

Professor

• Servitization and advanced service innovation
• Business model innovation and scaling
• Digitalization and artificial intelligence as enablers for innovation
• +4 more

Vinit Parida is a Professor and Head of Subject for Entrepreneurship and Innovation at Luleå University of Technology, within the Department of Social Sciences, Technology and Arts, Division of Business Administration and Industrial Engineering. He serves as Associate Editor for Journal of Business Research, is a Member of Swedish ministry's high-level group on digital transformation of Swedish industry, Scientific Leader for NorrlandsNavet, and Board member for RE:Source Strategic Innovation Program. His educational background includes a Bachelor in Commerce from Delhi University (2000), an Advance Diploma in Computer Applications (2000), an MBA with specialization in Electronic Commerce from Luleå University of Technology (2005), and a PhD in Entrepreneurship from Luleå University of Technology (2010). Professor Parida's research focuses on several key areas in business and innovation. His work spans servitization and advanced service innovation , business model innovation and scaling , digitalization and AI as enablers for innovation , industrial ecosystems development , circular economy and sustainable product service-systems , organizational capabilities and routines , and entrepreneurship in resource constrained environments . His research involves collaboration with major companies including ABB, Billerudkorsnäs, Boliden, Epiroc, Ericsson, IBM, Komatsu Forest, Lindbäcks, Metso, Sandvik Coromant, SCA, Scania, Siemens, Volvo Cars, and others. Professor Parida has published over 200 works in leading international journals including Academy of Management Journal, Journal of Management, Strategic Management Journal, and Entrepreneurship Theory and Practice. His recent publications focus on AI-enabled innovation, digital business models, and entrepreneurial learning from failure, reflecting current trends in digital transformation and sustainable business practices. His scientific achievements have been recognized with several prestigious awards: Nordea Scientific Excellence Prize (2020) The Young Researcher Award for Entrepreneurship Research (2016) PhD Supervisor of the Year (2015) Award for Young Deserving Research in Entrepreneurship and Innovation (2013) Award for Excellent Research in Small Business (2010) Ranked among the 100 most productive and cited researchers in Sweden in Social Sciences by Fokus Professor Parida actively supervises PhD students, with notable advisees including Elizaveta Averina, Linus Thomson, Milad Kolagar, Lina Sundén, Anmar Kamalaldin, Angelica Löfberg, and others. He has received research funding from various sources including the Wallenberg Foundations, VINNOVA, and direct industry partnerships. His work bridges academic research with practical applications through collaborations with Swedish government ministries, the EU Commission, and numerous industry networks. He is involved in teaching courses at all levels (bachelor, master, PhD) and executive education, focusing on strategic business development, technology and innovation management, international entrepreneurship, and scientific methods. Professor Parida has also contributed to Swedish newspapers and practitioner-oriented outlets such as Ny Teknik and Dagen Industri.

William E. SpanglerView profile

Professor

• Artificial Intelligence
• Machine Learning
• Data Mining
• +7 more

Dr. William E. Spangler serves as Professor and Department Chair of the Accounting, Information Systems and Technology, and Supply Chain Management Department at Duquesne University's Palumbo-Donahue School of Business. With extensive industry experience at Fortune 500 companies including Unisys and Westinghouse, he bridges academic theory with real-world practice while maintaining active leadership in international academic programs across six continents. His educational foundation includes: Ph.D. from the University of Pittsburgh M.B.A. from the University of Hawaii B.A. from the University of South Florida Spangler's research program demonstrates remarkable evolution from core artificial intelligence and machine learning applications in decision support systems toward contemporary explorations of sustainability, social responsibility, and technology ethics. His work spans surgical scheduling optimization, television viewer profiling, RFID privacy concerns, and cross-cultural analysis of charitable behavior in online social networks, reflecting both technical depth and societal relevance. Recent publications increasingly examine information technology's role in corporate sustainability initiatives across global contexts. His publication trajectory reveals consistent contributions to premier journals including Management Science , Journal of Management Information Systems , and IEEE Transactions on Knowledge and Data Engineering , with growing emphasis on interdisciplinary applications connecting information systems with healthcare, marketing, and sustainability domains. Recognition for his teaching excellence includes: Duquesne University Creative Teaching Award Apple Polishing Award Palumbo-Donahue School of Business Outstanding Educator Award Kurt Rethwisch Outstanding Teaching Award As an educator, Spangler has pioneered international immersion experiences through study abroad programs across Europe, Asia, Africa, and South America while developing innovative curriculum frameworks for AI integration in business education. His professional engagement extends through active membership in the Association for Information Systems (AIS), International Association for Computer Information Systems (IACIS), Information Systems Audit and Control Association (ISACA), and Institute of Internal Auditors (IIA). Current research initiatives focus on comparative analysis of online social network influences across US, Chinese, and Indian contexts regarding charitable behavior, alongside investigations into organizational responses to consumer privacy concerns in the RFID era.

Katja PässlerView profile

Researcher

• Aptitude testing
• Fairness of ability tests
• Gender differences in professional interests
• +11 more

Katja Pässler serves as a Scientific Associate at the School of Applied Psychology at the University of Applied Sciences Northwestern Switzerland (FHNW). She has been working at the institution since October 2011 and is affiliated with the Institute for Humans in Complex Systems, which focuses on the interaction between people, technology, and organizations in the context of automation, digitalization, and technical networking. Dr. Pässler completed her doctorate at the University of Hohenheim under Prof. Dr. Heinz Schuler and studied psychology at the University of Konstanz and the University of Exeter. Prior to her current position, she worked as a research assistant at the University of Konstanz (2008-2012) and as a consultant in personnel and management consultancy (2006-2008). Her research focuses on the fundamentals of aptitude testing, including the fairness of ability tests, gender differences in professional interests, personality psychology in aptitude diagnostics, and validity studies. She also develops aptitude diagnostic procedures, particularly self-assessments available at www.self-assessment.ch. Her teaching spans Bachelor's and Master's programs in Applied Psychology, covering Differential and Personality Psychology, Questionnaire Development, and Advanced Statistical Methods, as well as continuing education programs. Analysis of her recent publications (2015-2024) reveals a consistent focus on vocational interests, aptitude diagnostics, and the integration of digital tools in career counseling. Her work bridges theoretical research with practical applications, particularly in student selection and career guidance. A significant portion of her research examines gender differences in vocational interests and STEM career choices, with several publications addressing the underrepresentation of women in technical fields. Dr. Pässler actively collaborates with colleagues like Benjamin Hell and Tamara Mitrovic on projects related to online self-assessments and their implementation in counseling practice. Her research combines quantitative methods, meta-analyses, and practical validation studies to improve the effectiveness of career guidance tools. She teaches in both degree programs and continuing education courses, including the CAS Basic Knowledge Psychology and MAS Career, Study and Career Counseling. Her work on self-assessment tools demonstrates a commitment to translating research into practical applications that benefit students and career seekers. Dr. Pässler is involved with the Institute for Humans in Complex Systems, which addresses the challenges and opportunities of human-technology interaction in increasingly automated and networked environments. Her specific contributions focus on how psychological principles can inform the design and implementation of assessment tools in digital contexts.