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Caterina CrucianiView profile

Associate Professor

• Financial Economics
• Behavioral Finance
• Trust in Financial Advisory
• +7 more

Caterina Cruciani is an Associate Professor at the Department of Management , Venice School of Management , Ca' Foscari University of Venice. She serves as a member of the University Scientific Instrumentation Service Center (CSA) Management Committee and is affiliated with the Research Institute for Social Innovation . Research Interests Trust dynamics in financial advisory Behavioral finance and investor decision-making Sustainability disclosure and ESG integration Digital transformation in financial services Regional economic development and SME financing Agent-based modeling of cooperative behavior Key Article Trends (2009-2024): Span 15 years of research on financial trust (12 publications), behavioral economics (10), sustainability (6), and digital finance (5). Methodologically combines experimental economics , structural equation modeling , and Supervised Topic Modeling for ESG discourse analysis.

Stephan LeitnerView profile

Associate Professor

• Agent-Based Modeling and Simulation
• Organizational Dynamics
• Complex Systems
• +5 more

Associate Professor at the University of Klagenfurt , affiliated with the Department of Management Control and Strategic Management under the Faculty of Economics and Law . Research focuses on agent-based modeling applied to organizational dynamics , complex systems , and managerial economics . Holds a doctoral degree in Social Sciences and Economics (2012) and venia docendi in Business Economics (2018) . Core faculty member in the Self-Organizing Systems research cluster Academic editor for PLoS ONE and editorial board member for multiple journals Recipient of the 2021 Advancement Award (Humanities/Social Sciences) from Carinthian government Research integrates computational simulation with organizational theory , examining phenomena like decentralized task allocation , incentive mechanisms , and reproducibility in social sciences . Teaching portfolio includes business analytics , management control , and scientific modeling at undergraduate and graduate levels. Recent publications explore organizational resilience , team coordination dynamics , and financial modeling using agent-based simulation techniques. Active participant in international conferences like Social Simulation Conference and European Conference on Operational Research .

Lesia SemenovaView profile

Assistant Professor

• Machine Learning
• Responsible and Trustworthy AI
• Interpretability
• +4 more

Lesia Semenova is an incoming Assistant Professor in the Department of Computer Science at Rutgers University, set to join in Fall 2025. She currently serves as a postdoctoral researcher at Microsoft Research, NYC. Her research focuses on machine learning, responsible AI, interpretability, and healthcare applications. She holds a PhD from Duke University's Computer Science Department and prior degrees from Taras Shevchenko National University of Kyiv. Education Background: Ph.D., Computer Science, Duke University M.S. and B.S., Applied Mathematics, Taras Shevchenko National University of Kyiv Research Interests: Machine Learning Interpretability Responsible AI Frameworks Healthcare Applications of AI Reinforcement Learning Human-Centered Design Selected Awards and Recognition: 2024 Rising Stars in Computational and Data Sciences PhD Dissertation Award from Duke University Advising and Professional Activities: Semenova advises students such as Harry Chen and Dennis Tang. She has organized workshops at NeurIPS and presented at conferences like the International Joint Conference CFE-CMStatistics. Her work bridges theoretical machine learning with practical healthcare and policy applications. Professional Engagement: She is affiliated with the Artificial Intelligence and Machine Learning research groups at Rutgers, and has collaborated with institutions like the Johns Hopkins Applied Physics Lab.

• Marketing
• Sales Management
• Digital Marketing
• +3 more

Laurianne SCHMITT is an Assistant Professor at the IÉSEG School of Management's Department of Marketing. She holds a Ph.D. in Sales and Marketing from EM Strasbourg, France. Her research focuses on AI in sales, social media strategies in B2B contexts, key account management, and salesperson behavior. She teaches courses such as Advanced Sales Management, Survey Design and Analysis, and Sales and Business Management within the Bachelor in International Business and Grande École programs. Her work emphasizes the institutionalization of social selling practices and explores the impact of technology like AI coaching on sales performance. Collaborating with 12 partners, her research bridges theory and practice in marketing ecosystems and multinational firm dynamics. Publications span journals like Industrial Marketing Management, Journal of Business Research, and European Journal of Marketing, highlighting her contributions to sales management systems, stakeholder knowledge management, and cross-cultural social media use in sales contexts.

• Medical Education
• Pediatrics
• Curriculum Development
• +5 more

Donna D. Elliott, MD, EdD, is a Professor of Clinical Pediatrics and Medical Education at the Keck School of Medicine of the University of Southern California (USC). She holds dual leadership roles as Vice Dean for Medical Education and Chair of the Department of Medical Education. Dr. Elliott oversees all aspects of medical student education, including pathway programs and graduate-level academic medicine and narrative medicine programs. She has been recognized with prestigious awards such as the Mellon Award for Excellence in Mentoring and the USC Master Teacher designation. Her research focuses on medical education innovation, curriculum design, and professionalism in training. Key areas include social media ethics, diversity in healthcare education, and quality improvement strategies in medical programs. Dr. Elliott has contributed to national organizations like the National Board of Medical Examiners and the AAMC Group on Student Affairs, currently serving as Chair of the National Resident Matching Program Board of Directors. Her publication record emphasizes curricular renewal, student learning environments, and the transition to clinical training. Over 20 years of work has advanced educational policies at both institutional and national levels, with a focus on fostering inclusive and effective medical training environments.

Patrik WikstromView profile

Professor

• Computational Communication
• Music Industries
• Algorithmic Culture
• +3 more

Professor Patrik Wikstrom is a computational communication scholar at Queensland University of Technology (QUT), leading the School of Communication. He serves as Chief Investigator in QUT's Digital Media Research Centre (DMRC) and Associate Investigator in the Australian Research Council's ADM+S Centre. His expertise spans digital media's impact on music and meme cultures, algorithmic systems, and cultural economics. Education: PhD in Media and Communication Studies (Karlstad University), MScEng (Chalmers University). Former roles include Director of DMRC, Associate Dean (Research) at QUT's Creative Industries Faculty, and academic leadership at Northeastern University, Jönköping International Business School, and Karlstad University. Research focuses on digital technologies' societal impacts, including recommender systems, platform governance, and music industry dynamics. Key publications include TikTok: Creativity and Culture in Short Video and The Music Industry: Music in the Cloud . Active in grants like the Australian Cultural and Creative Activity Analysis project (LP160101724). Supervised over 10 doctoral and master's students on topics ranging from platform governance to decolonizing copyright. Current projects explore algorithmic culture, AI ethics, and fair payment models for artists. Labs/Teams: DMRC and ADM+S collaborate on automated decision-making's societal implications. Advocates for responsible AI and interdisciplinary computational methods in social sciences.

Helen LuView profile

Associate Professor

• Applications of AI in Accounting and Finance
• Valuation
• Return Predictability
• +3 more

Helen Lu is an Associate Professor of Accounting and AI at Vlerick Business School and a Senior Lecturer at the University of Auckland (FinTech Lead for the Master's in Business Analytics). She holds a PhD in Finance from Massey University, an MBA from London Business School, a Master's in Economics (Macroeconomics) from Peking University, and a Bachelor's in Computer Science Engineering from Northern Jiaotong University. Her research focuses on integrating AI into accounting and finance, including valuation, return predictability, ESG disclosure, executive succession, and FinTech disruptions. Before academia, Lu worked in investment banking at Credit Suisse and Deutsche Bank, specializing in capital raising and cross-border M&A in Asia-Pacific. Her work bridges academic research and industry practice, particularly in leveraging AI to solve complex financial and accounting challenges. She has published in top journals like the Journal of Accounting Research , Journal of Banking and Finance , and Journal of International Money and Finance . Her recent publications emphasize AI-driven valuation methods, ESG disclosure analysis, and the interplay between executive transitions and financial reporting. Her articles often highlight the application of machine learning to traditional finance problems, such as tail risk assessment and anomaly strategy correlations. Lu’s expertise spans multiple domains, with a focus on transforming data-driven technologies into actionable insights for financial decision-making. She actively contributes to academic discourse on sustainability metrics, particularly green asset valuation and corporate governance during crises.

• Supply Chain Management
• Social Sustainability
• Digital Transformation
• +4 more

VENKATESH Mani is an Associate Professor at Montpellier Business School, specializing in strategic supply chain management and operations. His research bridges digital transformation with social sustainability in emerging economies. University: Montpellier Business School Department: Operations, Information, & Decisions Academic Rank: Associate Professor Research Interests include: Social sustainability in supply chains Industry 4.0 digital capabilities Agri-food supply chain resilience Blockchain and digital twin applications Carbon neutrality strategies Recent Publications span topics from pandemic-related supply chain disruptions to data-driven sustainability frameworks, with a focus on empirical studies in Indian and cross-sector contexts. Scientific Awards : Erasmus scholarship (European Union) Teaching Areas cover logistics, operations management, analytics, and research methodology, reflecting his expertise in modern supply chain dynamics.

Vita AkstinaitėView profile

Professor

• Leadership
• Executive Hubris
• Artificial Intelligence
• +3 more

Prof. Dr. Vita Akstinaitė is a Professor and Vice-Rector for Research and Faculty at ISM University of Management and Economics (Lithuania). She leads the Master's program 'Global Leadership and Strategy' and the Executive Master's module on rhetoric/communication. As a Visiting Researcher at IDIAP (Switzerland) and Visiting Fellow at the University of Lausanne, she bridges academic and applied research. Her work focuses on leadership dynamics, hubris, linguistic markers, and AI applications in leadership assessment. Education: MSc Organizational Psychology (King's College London) and PhD in Business (University of Surrey), with research on linguistic markers of hubris. She co-founded The Hubris Hub and Knowledge4Hubris initiatives, fostering interdisciplinary collaboration. Notable projects include EU-funded AI leadership research (2021) and NordForsk's remote work study (2023-2026, €99k+). Research emphasizes innovative methods like AI-driven text analysis to evaluate leadership behaviors. Key areas include: executive hubris measurement, AI's role in leadership skill assessment, and ethical leadership frameworks. Her work spans international collaborations with institutions like Umeå University (Sweden), Murdoch University (Australia), and the London School of Economics. Awards include ISM Research Communicator of the Year (2023), Murdoch Teaching Excellence (2021), and EU research grants. Her publications explore topics like linguistic predictors of hubris, AI in leadership diagnostics, and pandemic leadership failures. Recent articles address data-driven executive role transformations and ethical leadership in AI contexts. Grants include €59k for AI leadership research (2021-2023) and €99k NordForsk funding. Active in conferences such as British Academy of Management and interdisciplinary leadership symposia. She advises on leadership development and serves as a module leader for global leadership courses. Labs/Teams: Co-leads The Hubris Hub research collective and directs ISM's executive communication initiatives. Current work explores AI ethics in leadership assessment and cross-industry sustainability leadership preferences.

• Medical Imaging
• Breast Cancer Diagnosis
• Phase-Contrast Tomography
• +4 more

Dr. Amir Tavakoli Taba is a Senior Lecturer in Medical Imaging Sciences at the University of Sydney, where he co-directs the Medical Image Optimisation and Perception Group (MIOPeG). He specializes in improving medical imaging accuracy, particularly in breast cancer diagnosis, through advancements like phase-contrast tomography and AI integration. His work bridges technological innovations (e.g., low-dose imaging) with clinical practice, emphasizing quality control and radiologist performance analysis. Education: PhD (University of Sydney) MEngSc (University of New South Wales) BSc (University of Tehran) Research Interests: Dr. Taba’s research focuses on phase-contrast computed tomography (PCT), AI-driven diagnostic tools, and clinical workflow optimization. His projects include the world’s first PCT clinical trial (scheduled for 2024 in Melbourne) and collaborations with institutions like ANSTO, Harvard Medical School, and the University of Iowa. He also investigates radiologist expertise development and the role of social networks in medical decision-making. Grants & Awards: NHMRC Synergy Grant (IMPACT: Implementation of X-ray Phase-Contrast Tomography) International recognition, including the SPIE Medical Imaging Award Advising & Labs: Current students: Mohammed ALANAZI (abdominal CT optimization), Jenna ARBID (phase-contrast imaging) Labs: MIOPeG, part of the Sydney Vital and Sydney Catalyst cancer research networks Teaching: Courses in imaging technologies, medical image perception, and clinical capstone projects for diagnostic radiography students.

Ida Asadi SomehView profile

Associate Professor

• Business Analytics
• Artificial Intelligence
• Big Data
• +7 more

Associate Professor Ida Asadi Someh is affiliated with the UQ Business School at The University of Queensland and serves as a research affiliate at the Centre for Information Systems Research (CISR) , MIT Sloan School of Management. She completed her PhD at The University of Melbourne in 2015, receiving the best PhD thesis award from the Melbourne School of Engineering and the Vice Chancellor’s PhD Prize . Her research spans business analytics , artificial intelligence , and data governance , focusing on the organizational and societal impacts of data and AI. Key areas include ethics of AI , privacy , accountability , and synergy in analytics systems . Recent publications highlight generative AI in business transformation, algorithmic fairness in public welfare systems, and data governance frameworks for ethical AI. Her work addresses digital transformation in both corporate and public sectors. Scientific awards include the best PhD thesis and Vice Chancellor’s PhD Prize at The University of Melbourne. She supervises PhD and Master’s students in data-driven organizations , privacy-preserving AI , and sepsis management through data .

• Controlled Environment Agriculture (CEA)
• Space Biology
• Medicinal Crops
• +3 more

Thomas Graham is an Assistant Professor and PhytoGro Research Chair in Controlled Environment Systems at the University of Guelph, where he also serves as R&D Manager for the Controlled Environment Systems Research Facility (CESRF). His academic journey includes a BSc in Environmental Sciences from the University of Guelph and Stirling University (1997), an MSc in Horticulture (2001), and a PhD in Environmental Biology (2012), all from the University of Guelph. He completed a NASA Post-Doctoral Fellowship (2012–2015) at Kennedy Space Center, focusing on bioregenerative life-support systems for space exploration. Dr. Graham’s research expertise spans controlled environment agriculture (CEA) , space biology , medicinal crop production , and water remediation . He leads projects addressing food security, crop diversification in urban farming, and sustainable practices for high-intensity agriculture. Key initiatives include developing CEA systems for medical crops, optimizing tree crops for spaceflight, and advancing composting-based closed-loop systems. His scientific contributions are reflected in roles as Associate Editor for Gravitational and Space Research and Editor for special issues on Agriculture in Space . He collaborates with NASA, USDA, OMAFRA, and international agencies like the German Space Agency (DLR). Awards include the NASA Post-Doctoral Research Fellowship. Dr. Graham emphasizes mentorship, conducting bi-weekly graduate meetings and fostering student autonomy while providing structured support. His lab integrates interdisciplinary approaches to tackle global challenges, from climate resilience to lunar food production.

Afshin AshariView profile

Assistant Professor

• Computational Design
• Mixed-Reality Environments
• Public Space Design
• +6 more

Afshin Ashari is an Assistant Professor in Landscape Architecture at the School of Environmental Design and Rural Development , University of Guelph. Prior to academia, he worked at BrookMcIlroy Inc., an interdisciplinary firm in Toronto, on architectural and landscape projects in public and private sectors. Education : Masters in Landscape Architecture, University of Toronto Bachelor of Computer Engineering, Azad University of Tehran Research Interests : Afshin explores the intersection of computational design and mixed-reality environments, focusing on: Art-Technology Unity in Public Spaces Algorithmic and Parametric Modeling Data-Driven Design Approaches Interactive Immersive Environments Biophilic Design Agricultural Urbanism Article Trends : His publications emphasize: AI tools for design processes Parametric modeling in urban rehabilitation Climate change communication via social media Drones for visual impact assessments Augmented reality in public spaces Historical and future-oriented design frameworks

Muhammad Azmi UMERView profile

Lecturer

• Machine Learning
• Data Science
• Cyber Physical Systems
• +3 more

Dr. Muhammad Azmi UMER is a Lecturer at DHA Suffa University and a Ph.D. Scholar at Karachi Institute of Economics and Technology, Pakistan. His research focuses on Machine Learning applications in Cyber Physical Systems (CPS), particularly intrusion detection in industrial control systems like the SWaT testbed. He holds a Master’s in Computer Science from Karachi Institute of Economics and Technology and a Bachelor’s from the University of Karachi. His academic work emphasizes cybersecurity challenges in smart grids, IoT healthcare systems, and adversarial machine learning techniques. Key contributions include developing decision tree-based intrusion detection frameworks and adversarial attack simulations for industrial systems. He collaborates with researchers like Dr. Jit BISWAS and Dr. Eyasu G. CHEKOLE within interdisciplinary teams. Publications span machine learning applications in smart cities, CPS security protocols, and IoT conceptual frameworks. His research bridges theoretical models with practical implementations in critical infrastructure security and urban technology systems.

Jackie ClarkView profile

Associate Professor

• Higher Education Administration
• Small College Environments
• First-Generation Student Success
• +3 more

Jackie Clark, Ph.D., M.A.Ed., is an Associate Professor in the College of Education and Counseling at Saint Martin’s University. She serves as Director of the Ph.D. in Leadership Studies and the M.Ed. in Higher Education and Student Affairs programs. Her professional background spans multiple states and institutions, with a focus on liberal arts education, small college environments, and equity in higher education. Dr. Clark is a first-generation student herself, informing her commitment to student challenges and accessibility. Education: Ph.D., College Student Affairs Administration, University of Georgia, 2017 M.A.Ed., Student Personnel Services, Virginia Tech, 1995 B.A., Art History, Randolph-Macon Woman’s College, 1993 Research Interests: Dr. Clark’s work centers on professional practice in higher education, small college administration, the history of higher education, university leadership roles, and assessment methodologies. She emphasizes practical applications of research to improve institutional strategies and student outcomes. Publications: Her recent work includes co-authored books and articles on academic program design, student affairs assessment, and small college leadership. She has contributed peer-reviewed analyses of historical and contemporary issues in higher education administration. Professional Affiliations: ACPA - College Student Educators International American Historical Association NASPA - Student Affairs Administrators in Higher Education Education Law Association Labs/Teams: While no specific lab is mentioned, her roles in program design and leadership suggest active involvement in institutional teams focused on curricular development and strategic planning.