جستجوی استاد راهنمای دانشگاهی

• Decision Making
• Team Cognition
• Team Effectiveness
• +۳ مورد دیگر

Shanique Brown serves as Assistant Professor of Management at the Zicklin School of Business, City University of New York (CUNY), where she investigates cognitive processes impacting organizational team dynamics and decision-making. Her research bridges industrial-organizational psychology with practical applications in extreme environments. Her academic foundation includes: Ph.D. in Industrial-Organizational Psychology from DePaul University M.A. in Industrial-Organizational Psychology from Southern Illinois University, Edwardsville B.Sc. in Psychology from the University of the West Indies Dr. Brown's research centers on decision-making mechanisms and team cognition within organizational contexts, with specialized focus on extreme environments like space missions. She examines how cognitive styles, working memory, and team composition influence performance in isolated, confined, and high-stakes settings. Her work integrates psychological theory with actionable frameworks for optimizing team effectiveness across virtual and physical workspaces. Analysis of her publication history reveals evolving expertise in team science, particularly regarding virtual team leadership, polycultural organizations, and NASA-relevant analog research. Recent work emphasizes selection-optimization-compensation models for team performance and psychosocial factors in extreme environments, demonstrating consistent contribution to organizational psychology literature. Her scientific recognition includes: Editorial Fellowship from Group Dynamics (2022) Wayne State University Faculty Accessibility Fellowship (2022) Teaching Innovation Development Excellence Award (2020) Faculty Teaching Award (2020) University Research Grant (2019) Robert A. Daugherty Memorial Award (2011) Dr. Brown actively collaborates on NASA-funded research through the Human Research Program, developing crew composition models for long-duration space missions. She serves on Baruch College's PhD Admissions and Interdisciplinary Business Major committees while maintaining leadership roles in the Society of Industrial-Organizational Psychology, including Task Force Chair and Conference Committee positions. Her grant work focuses on translating team dynamics research into operational frameworks for extreme environments. She leads interdisciplinary collaborations with NASA researchers and international scholars on projects including virtual escape room studies for team performance assessment and CREWS (Crew Recommender for Effective Work in Space) development, demonstrating commitment to solving real-world team challenges in high-consequence settings.

Subodha Kumarمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Blockchain
• +۷ مورد دیگر

Subodha Kumar is the Paul R. Anderson Distinguished Chair Professor of Statistics, Operations, and Data Science at Temple University’s Fox School of Business. He serves as the Founding Director of the Center for Business Analytics and Disruptive Technologies and has a secondary appointment in Information Systems. His roles include Ph.D. Program Concentration Director for Operations and Supply Chain Management. With over 240 publications, he ranks #1 globally in Information Systems Research publishing and holds a robotics patent. His research focuses on AI, blockchain, healthcare analytics, and cybersecurity, with notable contributions to digital transformation and operations management. Awards include the INFORMS ISS Distinguished Fellow and POMS Fellow. He advises major journals like Production and Operations Management and organizes conferences like POMS 2018. Media mentions span NYT, WSJ, and CBS. Education: University of Washington faculty Texas A&M University faculty Research Interests: Dr. Kumar explores AI applications, blockchain in fintech, healthcare system optimization, and supply chain analytics. He investigates cybersecurity’s operational impacts and data mining strategies. His work bridges theory and practice, addressing challenges in digital transformation and platform economies. Publications Trends: Recent work emphasizes digital platforms (e.g., blockchain adoption, telemedicine impact), organizational behavior (real-time feedback systems), and healthcare operations (personalized treatment algorithms). He frequently collaborates internationally, with studies appearing in Management Science, Information Systems Research, and Decision Sciences. Awards & Recognition: Changjiang Scholars Chair (China) ISB Visiting Professorship POMS Executive Editor Grants & Labs: Secured NIH grants for health analytics projects. Leads Temple’s analytics center fostering industry partnerships. Active in editorial roles (e.g., Production and Operations Management Journal Deputy Editor). Teaching: Offers courses in data science, optimization methods, and innovation entrepreneurship at graduate/undergraduate levels.

Anastasia Semykinaمشاهده پروفایل

استاد

• Theoretical Econometrics
• Applied Econometrics
• Labor Economics
• +۴ مورد دیگر

Anastasia Semykina is a Professor of Economics and Deputy Dean (Research and Innovation) at RMIT University's School of Economics, Finance & Marketing. She holds a PhD from Michigan State University (2006) and previously served as Charles and Joan Haworth Professor of Economics at Florida State University. Her expertise spans theoretical and applied econometrics, with a focus on panel data models, missing data estimation, and their application in labor economics, education economics, transition economies, and economic psychology. She teaches advanced econometrics and microeconomics courses at both undergraduate and graduate levels. Research Interests: Theoretical and Applied Econometrics Labor Economics Economics of Education Transition Economies Economics and Psychology Health Economics Her recent publications address topics such as panel data methodologies, healthcare cost-effectiveness analysis, and educational policy evaluation. She is actively involved in supervising PhD and Master's research students in econometrics and applied economics.

Deniz Onesمشاهده پروفایل

استاد

• Counterproductive work behaviors
• Employment integrity testing
• Personality assessment
• +۴ مورد دیگر

Deniz Ones is a Professor in the Department of Psychology at the University of Minnesota's College of Liberal Arts (Twin Cities campus). Her research focuses on organizational psychology, particularly counterproductive work behaviors, employment integrity testing, and personnel selection. Specialties: personality assessment, meta-analysis, employee retention, and organizational decision-making She teaches courses including: Psy 4993 - Directed Study in I/O Psychology Psy 5701 - Organizational Staffing Psy 8701 - Seminar in Industrial and Organizational Psychology Psy 8993 - Directed Study in I/O Psychology She holds the Lowell W. Hellervik/Personnel Decisions, Inc. Professorship in Organizational and Counseling Psychology.

Ying Luمشاهده پروفایل

دانشیار

• Quantitative Methodology
• Demography
• Health Sciences
• +۳ مورد دیگر

Ying Lu is an Associate Professor at the Department of Applied Statistics, Social Science, and Humanities within the Steinhardt School of Culture, Education, and Human Development at New York University. She holds dual PhDs in Public Policy and Demography from Princeton University (2005) and in Statistics from the University of North Carolina at Chapel Hill (2009). Before joining NYU, she was an Assistant Professor at the University of Colorado Boulder, affiliated with the Institute of Behavioral Science. Her research focuses on quantitative methodology in social and behavioral sciences, including applications in demography, health, and political behavior, as well as statistical methods like model selection and hypothesis testing for high-dimensional data. Her interdisciplinary work bridges statistical rigor with real-world societal challenges. Recent articles highlight her contributions to areas such as employee outcomes in HRM, gut microbiota-cardiometabolic disease links, and innovative clinical trial designs. She has also explored topics in food science, environmental catalysis, and sustainable development policy. Ying Lu’s academic journey reflects a commitment to advancing statistical methodologies while addressing pressing issues in health, policy, and environmental science. She has advised numerous projects but no specific students are listed in the provided texts.

Vishal Ahujaمشاهده پروفایل

دانشیار

• Healthcare Operations
• Operations Management
• Service Operations
• +۷ مورد دیگر

Vishal Ahuja is an Associate Professor and Corrigan Research Professor at Southern Methodist University's Cox School of Business, with adjunct faculty status at University of Texas Southwestern Medical Center. He focuses on decision analytic tools for healthcare improvement through operations management. PhD, University of Chicago Booth School of Business MBA, University of Chicago Booth School of Business His research interests span healthcare operations, service optimization, and AI applications in clinical decision-making. He collaborates with the Department of Veterans Affairs, Parkland Hospital, and pediatric institutions to address care quality and delivery efficiency. Recent publications emphasize predictive modeling for chronic disease management, adaptive clinical trial design, and regulatory healthcare policy. Awards include the Dlin/Fischer Clinical Research Award (2021), INFORMS Pierskalla Award (2012), and 2025 AI75 recognition for Dallas-Fort Worth AI leadership. D CEO Excellence in Healthcare Award - Outstanding Healthcare Innovator (2023) NSF Game Changer Academies for Advancing Research Innovation (2022) C. Jackson Grayson Faculty Innovation Award (2022-23) At SMU, he teaches graduate courses in operations, supply chain, and service management, integrating corporate sector experience from chemical and consumer goods industries. His work has been cited by the FDA in safety labeling changes workshops.

Ronnie Sircarمشاهده پروفایل

استاد

• Financial mathematics
• Stochastic models
• Market volatility
• +۵ مورد دیگر

Ronnie Sircar is the Eugene Higgins Professor of Operations Research and Financial Engineering at Princeton University , where he contributes to the Department of Operations Research and Financial Engineering (ORFE). His work spans financial mathematics, stochastic modeling, and applied probability, with a focus on market volatility, optimal investment strategies, and dynamic game theory. Email: sircar@princeton.edu Office: Sherrerd Hall, Room 208, Princeton, NJ 08544 His research interests include: Stochastic Volatility: Asymptotic analysis, calibration, and impact on option pricing and portfolio optimization. Mean Field Games: Applications to cryptocurrency mining, energy markets, and interbank network formation. Portfolio Theory: Forward performance processes, drawdown constraints, and risk-averse strategies. Credit Risk: Multi-name credit derivatives, CDO valuation, and risk measures. Energy Systems: Renewable reliability, unit commitment, and electricity market design. Recent publications emphasize mean field games in energy and blockchain, stochastic volatility in portfolio optimization, and machine learning applications for financial engineering. He has advised graduate students such as Giulia Crippa, Nicolas Garcia, and Burak Aydin, often collaborating with researchers including M. Soner, P. Chan, and A.M. Reppen.

Jon Grudaمشاهده پروفایل

استادیار

• Organizational Behavior
• Leadership Studies
• Personality Psychology
• +۴ مورد دیگر

Dr. Jon Gruda is an Assistant Professor and Lecturer in Organisational Behaviour at Maynooth University's School of Business. He holds a PhD in Management from emlyon Business School (France) and a joint Dr. rer. nat. in Psychology from Goethe University Frankfurt. His research focuses on relational leadership, dark leadership traits, anxiety in the workplace, and personality psychology, with a strong emphasis on integrating machine learning and AI methodologies. Gruda has been recognized with prestigious awards, including selection for the Lindau Nobel Laureates Meeting in Economic Sciences (2020). His interdisciplinary work includes predicting anxiety and personality traits via social media data analysis. He serves as an Associate Editor for journals like Personality and Individual Differences and Frontiers in Psychology . Education PhD in Management, emlyon Business School (2012–2017) Dr. rer. nat. in Psychology, Goethe University Frankfurt (2012–2017) MSc in Affective Neuroscience, Maastricht University (2018) MSc in Management Research, emlyon Business School (2012–2014) Triple MSc in Management, City University London/ESCP Europe (2010–2012) BSc in International Business & Management, University of Groningen (2007–2010) Research Interests Gruda’s work bridges leadership studies, personality psychology, and data science. Key areas include: Dark leadership traits (e.g., narcissism, Machiavellianism) and their organizational impacts Machine learning applications for detecting anxiety and personality traits via social media Cross-cultural studies on leadership perceptions and attachment orientations Impact of physiological/psychosocial factors on leadership effectiveness Publications & Projects Recent projects include predicting state-level health outcomes linked to narcissism and developing algorithms to track anxiety using Twitter data. Over 20 peer-reviewed articles since 2017 highlight his contributions to organizational behavior and computational social science. Awards 7th Lindau Nobel Laureates Meeting on Economic Sciences (2020) Benedictine University Award (Academy of Management, 2020) Wharton Global Faculty Development Program (2020) Grants & Collaborations Gruda leads projects on pro-environmental behavior and collaborates with the National Care Experience Programme on healthcare feedback analysis. Seed funding includes €301,930 for computational text analytics in healthcare. Labs & Teams Interdisciplinary research collaborations span psychology, data science, and public health, with a focus on applying machine learning to organizational challenges.

Wim A Van der Stedeمشاهده پروفایل

استاد

• Accounting
• Management Control Systems
• Corporate Governance
• +۵ مورد دیگر

Wim A Van der Stede is a **Professor of Accounting and Financial Management** at the **London School of Economics (LSE)**, specifically within the **Department of Accounting**. He holds the prestigious **CIMA Professorship** and serves in leadership roles such as LSE Council Member and Houghton Street Ventures Advisory Board member. His research focuses on **management control systems**, **corporate governance**, **executive compensation**, and **performance measurement**, with notable contributions to understanding incentive systems and organizational design. He has authored influential books like *Management Control Systems: Performance Measurement, Evaluation, and Incentives*, translated into multiple languages. Van der Stede’s academic leadership includes editorial roles in top journals like *Management Accounting Research* (Editor-in-Chief 2015–2024), and he has received awards such as the LSE Teaching Excellence Award (2016/17) and the AAA Outstanding International Educator Award (2019). His work integrates empirical studies with practical insights, addressing topics like budgeting, innovation selection, and the impact of information technology on organizations. He actively contributes to global accounting discourse through research, teaching, and advisory roles.

Alexander Pretschnerمشاهده پروفایل

استاد

• Software Engineering
• Testing
• Information Security
• +۵ مورد دیگر

Prof. Alexander Pretschner is a Professor of Software & Systems Engineering at the Technical University of Munich (TUM) and Founding Director of the Bavarian Research Institute for Digital Transformation (bidt). He also serves as Scientific Director of fortiss, a Bavarian research institute for software-intensive systems. His research focuses on software engineering, testing, information security, and ethical software development. Pretschner holds a PhD from TUM and has held academic positions at Karlsruhe Institute of Technology (KIT) and TU Kaiserslautern. He is a co-editor of several prestigious journals, including IEEE Transactions on Reliability and the Journal of Software Testing, Verification and Reliability. Education: PhD in Computer Science, Technical University of Munich MSc in Computer Science, University of Kansas (on Fulbright Scholarship) Diplom in Computer Science, RWTH Aachen University Research Interests: His work spans testing methodologies, secure software design, and ethical considerations in agile development. Notable contributions include frameworks for metamorphic testing, distributed data usage control, and accountability mechanisms for cyber-physical systems. Awards: IBM Faculty Award (2012, 2013) Google Focused Research Award (2011, 2012) EARTO Innovation Prize (2014) 2nd Platz Supervisory Award (2020) Advising & Grants: Pretschner has supervised numerous PhD and Master’s students, contributing to over 200 publications. He leads projects like EDAP (Ethical Deliberation in Agile Processes) and collaborates with industry partners on cybersecurity and AI ethics initiatives. Labs & Teams: His work is anchored in bidt, fortiss, and TUM’s Chair of Software & Systems Engineering, focusing on societal impacts of digitalization and trustworthy AI systems.

• Machine Learning and Deep Learning
• Big Data and Artificial Intelligence in Accounting
• Accounting Fraud
• +۳ مورد دیگر

Nurul Alam is a Lecturer in Accounting at the University of Sydney Business School. His research focuses on machine learning applications in finance and accounting, corporate distress prediction, and financial reporting. He holds a PhD from the University of Sydney, where he investigated machine learning models for US corporate bankruptcies. His teaching excellence has earned over 15 awards, including multiple Dean’s Citations and nominations for the Wayne Lonergan Award for Teaching Excellence. Education Master of Commerce (Finance & Accounting), University of Sydney Bachelor of Business Administration (Finance & Banking), University of Rajshahi, Bangladesh Research Interests Machine Learning and Deep Learning in accounting and finance Big Data analytics for corporate financial decision-making Accounting fraud detection mechanisms Financial reporting standards and regulations Current Projects Corporate bankruptcy prediction using survival models and AI Deep Learning applications in panel data analysis for firm distress Machine learning variable selection in corporate finance Accounting fraud patterns among lower/mid-level employees Teaching Contributions Financial Accounting B (ACCT3011) Quantitative Methods for Accounting (QBUS5002) Quantitative Business Analysis (BUSS1020)

Aybars Tuncdoganمشاهده پروفایل

دانشیار

• Digital Innovation
• Information Security
• Marketing Strategy
• +۳ مورد دیگر

Aybars Tuncdogan is a Reader in Digital Innovation and Information Security at King’s Business School, King’s College London. He holds affiliations with the King’s AI Institute, King’s Cybersecurity Centre (Informatics), and King’s Cybersecurity Group (War Studies). A Fellow of the Higher Education Academy, he also serves on the editorial review board of Industrial Marketing Management . Education : PhD in Management, Rotterdam School of Management, Erasmus University MPhil in Business Research (Distinction), Erasmus University Bachelor’s in Business Management & Computer Science (Honors), Earlham College Research Interests : His work focuses on three pillars of digital innovation: generation (crowdsourcing, AI), marketing (digital brand personality, sales ambidexterity), and protection (information security, corporate espionage). He integrates psychology (individual differences, social identity) and computer science (machine learning/AI) frameworks. Publications Trends : Recent work addresses cybersecurity challenges in retail, AI ethics in healthcare, and interdisciplinary innovation. He frequently publishes in top-tier journals like Journal of Management and Scientific American , blending academic rigor with practitioner impact. Awards & Contributions : 2015 Best Paper Award (shared) Edited books including Oxford Handbook of Individual Differences and Strategic Renewal Teaching & Pedagogy : Develops innovative teaching methods like inquiry-based learning to foster student creativity. Taught modules on digital marketing, consumer behavior, and research methods. Labs/Teams : Contributes to cybersecurity initiatives at King’s, focusing on AI-driven defense mechanisms and organizational cyber resilience strategies.

Daniela Goya-Tocchettoمشاهده پروفایل

استادیار

• Inequality Perceptions
• Meritocracy Beliefs
• Social Class and Racial Biases
• +۳ مورد دیگر

Daniela Goya-Tocchetto is an Assistant Professor of Organization and Human Resources at the School of Management, University at Buffalo. Her research focuses on inequality perceptions, meritocracy beliefs, social class/racial biases, and moral/political decision-making. She holds a PhD from Duke University's Fuqua School of Business and multiple advanced degrees from the Federal University of Rio Grande do Sul and the London School of Economics. Her work bridges social psychology and organizational behavior, addressing topics like system justification theory, partisan polarization, and interventions to reduce antidemocratic attitudes. Recent studies include analyzing income inequality perceptions and the Andrew Carnegie effect on wealth allocation. She has been recognized with the NTR-IACM Early Career Scholars Program (2022–24) and a Best Paper award at the 2022 Academy of Management Meeting. Professionally, she advises CLOO Behavioral Insights Unit on organizational behavior projects in Brazil and Portugal. Her research is published in journals like Science , Nature Communications , and Journal of Experimental Social Psychology .

Peter H. Dittoمشاهده پروفایل

استاد

• Social Psychology
• Judgment and Decision Making
• Political Bias
• +۴ مورد دیگر

Dr. Peter H. Ditto is a Professor of Psychological Science at the University of California, Irvine (UCI), affiliated with the School of Social Ecology and the Department of Psychological Science. He holds a Ph.D. from Princeton University. His research focuses on 'hot cognition'—the interplay of emotion and reason in social, political, moral, medical, and legal judgments. Central themes include motivated reasoning, partisan political bias, and the role of emotion in moral decision-making. His work has explored how political ideology skews judgments, denial in response to medical threats, and how moral principles are selectively applied to justify desired conclusions. Research affiliations include the Hot Cognition Lab at UCI and contributions to platforms like Yourmorals.org for data collection. His interdisciplinary efforts bridge psychology, ethics, and societal issues through studies on topics ranging from end-of-life medical decisions to workplace wellness incentives. He has published extensively in top journals such as Science , Journal of Personality and Social Psychology , and Psychological Science . His articles collectively examine moral psychology, political behavior, and health decision-making, highlighting biases in self-reported happiness, free will perceptions, and punitive motivations. Advising and grant activities are not explicitly detailed here, but his lab’s research emphasizes practical applications to real-world social problems, such as constructive political dialogue through Civil Politics.

Raquel Camposمشاهده پروفایل

استادیار

• Information and Communication Technologies
• Organizational Economics
• Personnel Economics
• +۳ مورد دیگر

Dr Raquel Campos is an Assistant Professor (Education) of Management at the Department of Management, London School of Economics and Political Science (LSE). Her work focuses on the impact of information technologies on institutional performance across firms and universities. She holds dual expertise in economics (PhD, MSc from Universidad Rey Juan Carlos) and engineering (BSc in Electrical Engineering and Computer Science). Prior to academia, she worked in IT project management and consulting in Spain and the US. Key qualifications include a PhD in Economics (2013) and MSc in Economics (2009), both from Universidad Rey Juan Carlos. She also completed the University of London’s BSc in Economics and Management via its external program. Her multidisciplinary background spans electrical engineering, computer science, and law. Research interests center on organizational economics, personnel economics, and ICT applications in labor markets. Notable works include studies on hurricane impacts on academic collaborations, internet recruitment strategies in Spain, and gender disparities in engineering careers. She has presented at major labor economics workshops and serves as a referee for Economics of Innovation and New Technology . Teaching responsibilities include leading the Strategy module (MG301) at LSE, where she received top teaching awards including the 2019 Excellence in Education Award. Her professional experience includes roles as Visiting Researcher at University of Kent (2015-2017), and prior IT project management roles in sectors like banking and real estate. Awards highlight her educational contributions: Top 10% performer in LSE Management Department teaching evaluations (2018-19) and Excellence in Education recognition. Current research explores missing skills for EU entrepreneurs/managers using PIAAC data in collaboration with M. Arrazola and J. de Hevia.