Hajo A. Reijers is a Professor at the University of Utrecht, Netherlands, with a former affiliation at Vrije Universiteit Amsterdam. His research focuses on Business Process Management (BPM), Process Mining, and Robotic Process Automation (RPA), emphasizing practical applications in healthcare, organizational processes, and human-computer interaction. He contributes to developing tools like SWORD for detecting workarounds and DEUCE for auditing electronic health records. His work spans algorithm development for process discovery, predictive analytics, and optimization techniques. Key areas include analyzing event logs, modeling workplace behavior, and enhancing process transparency. Reijers collaborates extensively with industry partners, addressing challenges in process automation, employee acceptance of AI, and ethical monitoring. His contributions to conferences like BPM, CAiSE, and ICIS highlight interdisciplinary approaches, combining computer science with organizational studies. Notable projects include frameworks for task mining, reinforcement learning in care processes, and pattern recognition in government transparency assessments. Research initiatives often involve cross-disciplinary teams, exploring topics like workplace well-being through process mining, decision-making support systems, and overcoming barriers to BPM adoption. His work bridges theoretical advancements with real-world impact, influencing both academic discourse and practical business solutions.
Dr. Saptarshi Sengupta is an Assistant Professor in the Department of Computer Science at San José State University (SJSU), leading the Machine Intelligence and Complex Systems (MICoSys) Lab. He advises the ACM student club at SJSU and holds a 'Alien of Extraordinary Ability' visa (Einstein Visa) from USCIS. His work focuses on resilient cyber-physical systems, risk analysis, and deep learning applications in healthcare and industrial systems. Education: Ph.D. in Electrical Engineering, Vanderbilt University M.S. in Electrical Engineering, Vanderbilt University B.Tech. in Electronics & Communication Engineering, West Bengal University of Technology Research Interests: Cyber-Physical Systems Security Healthcare AI for Cancer and Chronic Disease Prediction Battery Prognostics and Energy Systems Machine Learning for Complex Systems Analysis Key Achievements: Dr. T.M.A. Pai Gold Medal Award for Healthcare AI contributions Recipient of multiple best paper awards at international conferences Author of over 30 peer-reviewed publications Labs & Teams: Leads the MICoSys Lab, developing AI solutions for healthcare diagnostics, industrial prognostics, and smart infrastructure systems. Collaborations include interdisciplinary projects with biomedical and engineering domains.
Stephan Dilchert is an Associate Professor at the Zicklin School of Business, City University of New York (CUNY), where he serves as the Academic Director of the Executive MBA Program. He is affiliated with the Narendra Paul Loomba Department of Management. Previously, Dr. Dilchert served as Academic Director of the school's Executive Master's in Human Resource Management for seven years, demonstrating his leadership in executive education. Dr. Dilchert earned his PhD in Industrial/Organizational Psychology from the University of Minnesota in 2008. He also holds professional certifications including SPHR from the Human Resources Certification Institute (2014) and SHRM-SCP from the Society for Human Resource Management (2015), which complement his academic credentials with practical HR expertise. His research focuses on the influence of human capital characteristics such as personality and intelligence on employee job performance, including creativity and counterproductivity. Dr. Dilchert has published extensively in top journals and has co-edited the book 'Managing human resources for environmental sustainability.' His recent work has increasingly incorporated wearable sensor technology to examine physiological correlates of workplace behaviors and health outcomes, particularly through the TemPredict study. His research spans talent acquisition, people analytics, employee assessment, counterproductive work behaviors, and environmental sustainability. Dr. Dilchert's recent publications (2022-2025) reveal a strong interdisciplinary approach combining organizational psychology with digital health technologies. His work demonstrates growing interest in sex differences in physiological responses, environmental sustainability in organizations, and personality-environment alignment at work. The TemPredict study has been particularly influential in using wearable devices for early detection of health conditions including COVID-19, with significant contributions to understanding how physiological data relates to workplace behaviors and health outcomes. In his applied work, Dr. Dilchert has developed assessments and designed staffing and feedback systems for multinational corporations (P&G, MetLife, Otis, DHL), government agencies (Department of Justice, State of California), and international organizations (United Nations, Disability Rights Advocates). He has collaborated extensively with researchers including Deniz Ones and Boris Wiernik on meta-analytic studies examining personality-work relationships across cultural contexts. Dr. Dilchert teaches courses related to human resources, organizational behavior, and human capital management at both graduate and doctoral levels. His teaching portfolio includes 'HR Metrics and People Analytics,' 'Human Resources,' 'Fundamentals of Management,' and 'Human Capital & the Triple Bottom Line,' reflecting the breadth of his expertise in connecting individual differences to organizational outcomes.
John Kammeyer-Mueller holds the Curtis L. Carlson Professorship of Industrial Relations in the Department of Work and Organizations at the University of Minnesota's Carlson School of Management. A leading scholar with over 50 peer-reviewed publications, he specializes in organizational behavior and human resources research with emphasis on evidence-based HR practices. He earned his PhD in Human Resources and Industrial Relations from the University of Minnesota in 2002, establishing his academic foundation at the institution where he now holds an endowed chair. His research program critically examines socialization and onboarding dynamics, personality influences on workplace behavior, career trajectory development, and the interplay of attitudes and emotions in organizational contexts. A distinctive thread throughout his work explores how interpersonal relationships with colleagues and supervisors shape new employees' long-term environmental perceptions and adjustment patterns. Analysis of his recent publications reveals intensifying focus on quantitative methodologies including meta-analysis and machine learning applications, with growing attention to turnover dynamics, newcomer adjustment processes, and the integration of work-nonwork domain interactions in contemporary HR scholarship. Kammeyer-Mueller provides academic leadership as Director of the Center for Human Resources and Labor Studies and previously served as Faculty Director for the Master of Human Resources and Industrial Relations program. His industry impact extends through consulting engagements with organizations including Minneapolis Public Schools, Minnesota Department of Economic Security, Florida Nurses Association, and corporations such as 3M, Merck, and General Mills. He maintains active scholarly service through editorial roles including past Associate Editorship of Personnel Psychology (2017-2020) and current positions on the editorial boards of Journal of Applied Psychology and Organizational Research Methods.
Professor Tahir M. Nisar serves as Professor of Strategy and Economic Organization and Behaviour at the University of Southampton's Southampton Business School . His research focuses on Artificial Intelligence , Automation , Crowdfunding , and Organizational Dynamics , with applications in Insurance, Financial Services, and Health (NHS). Current research includes AI-driven workplace gamification (KTP project with Execview), ESRC-funded AI applications in service sectors, and Alan Turing Institute collaborations on AI's impact on work. Teaching areas: Organization & Management, Entrepreneurship, Strategy & Behavior, Human Resource Management. Editorial roles: Associate Editor for Management Decision , editorial board member for European Journal of Marketing . Scientific recognition: Stanford 2% Global Scientist , multiple journal awards, and Whitehall Fellowship. His work bridges technical AI implementation with human-centric organizational design, emphasizing sustainable practices and productivity enhancement through data analytics.
Prof. Lonneke van der Plas is an Associate Professor in Natural Language Processing (NLP) at the University of Lugano (USI) since October 2024. She leads the Computation, Cognition & Language group at Idiap Research Institute (since 2021) and holds adjunct roles in USI's Faculty of Informatics. Previously, she was an Associate Professor at the University of Malta (2014–2020) and Junior Professor at the University of Stuttgart (SFB 732). She earned her PhD in Humanities Computing from the University of Groningen and an M.Phil in Computer Speech and Language Processing from the University of Cambridge. Her research focuses on cross-lingual NLP, computational creativity, and low-resource languages. Key projects include the NCCR Evolving Language (Swiss National Science Foundation, 2024–2028), C-LING (computational models of creativity), and SEM24 (multilingual skill extraction for HR). She has supervised multiple PhD students and postdocs, including notable advisees such as Molly Petersen and Mete Ismayilzada. Her work spans theoretical linguistics and applied NLP, with collaborations in cognitive science, finance, and healthcare. Awards include the ELSI Best Paper Award (2020) for work on societal impacts of AI ethics. Current initiatives include open PhD positions in NLP for cognitive modeling and mental health applications. Education: PhD (University of Groningen), M.Phil (University of Cambridge) Key Projects: NCCR Evolving Language, C-LING, SEM24, LT-BRIDGE Grants: SNSF, Innosuisse, Hasler Foundation Lab/Team: Computation, Cognition & Language Group at Idiap
Professor Andy Charlwood is a faculty member at the University of Leeds, affiliated with Leeds University Business School's Department of Management and Organisations. His primary research focuses on HR analytics, algorithmic management in HR, and healthcare workforce dynamics, with particular emphasis on how digital technologies transform HRM practices and worker experiences. He leads interdisciplinary research combining sociology, psychology, and economics approaches. His research interests include people analytics adoption, AI in human resources, healthcare workforce optimization, and digital transformation impacts on employment relations. Current projects examine relationships between workforce factors and care quality using machine learning methods. Professor Charlwood teaches HRM, strategic HRM, people analytics, and organizational studies at undergraduate and postgraduate levels. He has supervised numerous PhD students in areas including people analytics adoption, AI in HR, and healthcare workforce studies. Notable grants include funding from the UK National Institute for Health Research and collaborations with the HR Analytics Think Tank. He serves as Associate Editor for the International Journal of Human Resource Management and holds leadership positions in the British Academy of Management. His work has contributed significantly to understanding digital transformation in HR and labor relations in healthcare contexts.
Ashish Gupta holds the Globe Life Professor title in the Department of Business Analytics & Information Systems at Auburn University and serves as an Adjunct Professor in the Department of Computer Science and Software Engineering. His research focuses on Deep Learning, Machine Learning, AI, Natural Language Processing, and Social Network Analytics. Education: Ph.D. in Management Science and Information Systems from Oklahoma State University. Research trends in his articles emphasize AI-driven solutions for misinformation detection, healthcare analytics, smart grids, and educational pedagogy. Notable themes include real-time fake news detection, pandemic impact studies, and predictive modeling in healthcare and agriculture. No scientific awards or grants are explicitly listed. He advises no formally listed students. His work integrates computational methods with societal challenges, particularly in healthcare, education, and agriculture. Collaborations span interdisciplinary domains, though specific lab affiliations are not mentioned.
Mo Wang is a University Distinguished Professor and Lanzillotti-McKethan Eminent Scholar Chair at the University of Florida’s Warrington College of Business. He holds multiple leadership roles including Associate Dean for Research and Strategic Initiatives, Management Department Chair, and Director of the Human Resource Research Center. His research focuses on retirement strategies, occupational health, leadership dynamics, and advanced quantitative methods, supported by over $5M in federal funding from NIH, NSF, and CDC. Education: PhD (2005), MA (2003) from Bowling Green State University; BS (2001) from Peking University. Research interests include retirement policy, older worker employment, expatriate adjustment, and team processes. His work has been featured in major media outlets like the New York Times and Wall Street Journal, and he advised U.S. Congress on retirement policies. A Fellow of AOM, APA, APS, and SIOP, he leads editorial roles for journals like Work, Aging and Retirement and serves on National Academies committees. Recent articles explore age bias in creativity, AI-driven workplace practices, and organizational resilience during crises. Awards include the Academy of Management HR Division Scholarly Achievement Award (2008) and SIOP’s William A. Owens Award (2016).
Nataša Stanišić is an academic at Singidunum University affiliated with the Faculty of Business and Department of Management and Business. She holds a Doctorate in Management and Business (2021), Master's in Financial Management from Lincoln University (2006-2008), and a Bachelor's in English Language and Literature from Faculty of Philology (1999-2005). Her research focuses on hospitality industry dynamics, employee motivation frameworks, sustainable tourism development, and human resource management strategies. Key research interests include applying behavioral theories in workplace environments, analyzing labor market trends in Serbia, and exploring blended learning methodologies in tertiary education. She has contributed to studies on employer branding in IT sectors and the impact of pandemic disruptions on tourism industries. Her recent work highlights innovations in HR practices for agile cultures, competency modeling in hospitality sectors, and evaluating translation technologies. She has co-authored over 15 papers presented at international conferences like Sinteza and SITCON, addressing topics ranging from slow tourism concepts to collaborative web development pedagogy. No scientific awards are listed in the provided materials. Her academic contributions include curriculum development for business education and cross-disciplinary research bridging technology adoption with organizational behavior.
Dr. Stefan Jooss is a Senior Lecturer in Management at the UQ Business School, The University of Queensland. He previously held academic positions at University College Cork and Technological University Dublin, Ireland. His research focuses on Human Resource Management (HRM), particularly talent management, global mobility, and the future of work. His work has been published in journals like Human Resource Management , International Journal of Human Resource Management , and International Business Review . Key research areas include: talent pools in multinational corporations, algorithmic management in gig work, expatriate experiences, and the impact of digital transformation on HR practices. He has contributed to conceptual frameworks on coopetition in talent management for hospitality SMEs and explored the role of middle managers in navigating talent management paradoxes. His recent articles address topics such as inter-brand career mobility in hospitality, long-term expatriate typologies, and inclusive leadership during global crises. He actively engages with industry stakeholders to bridge research insights into organizational practices and policy design. Dr. Jooss has presented at leading conferences including the Academy of Management (AOM), European Academy of Management (EURAM), and International Human Resource Management Conferences. His research often intersects with societal challenges like sustainable talent attraction and managing algorithmic technologies in the workplace.
Dr. Tobias Michael Scholz is an Associate Professor at the University of Agder within the Department of Information and Communication Technology . Widely recognized as the "godfather of esports research", he has dedicated 25 years to exploring the intersection of esports, human resource management, and digital transformation. As founder of the Esports Research Network and chief scientific officer of metagame , Scholz bridges academia and industry, particularly focusing on innovative educational programs that utilize esports to develop future workforce skills in Norway. Research Interests include gamification in HR, transferable skill development, corporate esports strategies, and sustainability in digital environments. His work examines how gaming mechanics can enhance hybrid team collaboration, risk governance, and intercultural management practices in global business contexts. Publication Trends reveal his specialization in esports business models, digitalization of work, and skill transfer mechanisms. Recent articles explore metaframe frameworks for professional dynamics, Olympic esports integration, and AI's impact on human resources. Professional Networks include the Esports Research Network and metagame . He actively collaborates with institutions like IATED and Routledge , contributing to annual conferences such as HICSS and ICERI.
Dr. Saima Ahmad is a Senior Lecturer at RMIT University's School of Management, focusing on cultivating sustainable work environments and investigating leadership's impact on individual well-being. With a PhD in Management from Monash University, her research spans organizational behavior, workplace dynamics, and leadership ethics, addressing critical issues such as bullying, resilience, and digital disruption. She coordinates courses in the RMIT MBA program and serves on editorial boards for the European Management Journal and PLoS One . Education: PhD in Management from Monash University Her research emphasizes positive leadership styles and their influence on employee engagement and organizational sustainability. Recent work explores servant leadership in the construction industry and the role of green human resource management in fostering environmental citizenship. She has pioneered studies on workplace bullying and its mitigation through ethical leadership frameworks. Her scientific awards include the 2022 RMIT GSBL Dean’s Merit Award for HDR Leadership Excellence for her contributions as HDR Coordinator (2022-2024), where she enhanced PhD completion rates and student support systems. She actively supervises Masters and PhD research candidates, focusing on leadership and organizational behavior.
Toine Bogers is a Part-Time Lecturer at Aalborg University , affiliated with the Department of Communication and Psychology within the Faculty of Social Sciences and Humanities . He is a core member of the AI for the People research group. His work focuses on Recommender Systems , Information Retrieval , and Social Media Analysis , with particular emphasis on applications in talent search, leisure information needs, and multistakeholder evaluation. Research Interests: Recommender systems, information seeking behavior, collaborative filtering, human resources algorithms, and ethical evaluation frameworks. His work bridges technical innovation with societal impact, often addressing challenges in job matching, cultural heritage retrieval, and user-centric design. Awards: Best Paper Award at CHIIR 2021 Outstanding PC Member (2020) Best Reviewer (2020, 2018, and multiple years) Grants & Projects: PI of JobMatch (2020–2023): Developing job recommendation systems for unemployed individuals Co-PI of Flipping Information Studies (2017–2019): Integrating video lectures into problem-based learning Organized workshops at RecSys on topics like Recommender Systems in HR and ComplexEnvironments Labs/Teams: He leads research in the AI for the People group, emphasizing human-centered AI applications in recruitment, cultural heritage, and social media analysis.
Dr. Evangelos Markopoulos is a Lecturer at the University College London School of Management, specializing in Knowledge & Innovation Management, Entrepreneurship, and Futuristic Interactive Technologies. He holds a PhD in MIS Project Management and has extensive industry experience with IBM, Siemens, and Bell Labs. His research focuses on integrating Digital Twins, Metaverse Applications, and ESG Compliance into organizational strategies. He has published 120+ papers and authored a book on Innovative Organizational Cultures. Notable achievements include a Clinton commendation and two Global Social Innovation Awards (HultPrize). His teaching emphasizes real-world industry collaboration through internships and competitions. Education: BSc Computer Science → MSc Computer Science/Artificial Intelligence → PhD MIS Project Management. He has taught at QMUL, UCL, Essex, and others. Research interests span Digital Transformation, Sustainable Leadership, and Gamification in Education. Current projects include VR safety training for maritime sectors and democratic innovation frameworks. Key Research Themes: ESG-SDGs Alignment, Metaverse in Maritime Training, Democratic Organizational Culture Student Impact: Mentored teams to global awards in social innovation Industry Collaboration: Founder of companies in Project Management, Enterprise Engineering, and Innovation Apps
