جست‌وجوی استاد و پژوهشگر

Ian Limمشاهده پروفایل

مدرس ارشد

• Information Retrieval
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Ian Lim is a Senior Lecturer at the School of Information Technology, Monash University Malaysia since 2015. He serves as student experience coordinator and has received prestigious teaching awards including the 2020 PVC Awards for Outstanding Educator and 2019 Faculty Teaching Excellence Award. His expertise spans Information Retrieval, Natural Language Processing, and Machine Learning, with a focus on User-Generated Content (UGC) platforms and Graph Algorithms for route optimization. Education: PhD in Computer Science (2010-2018) and Bachelor of Computer Science (2007-2009) from Monash University Malaysia. Research interests include enhancing information quality on UGC platforms, fake news detection, and knowledge graph development. Recent work involves AI-driven networked systems and healthcare analytics for medication error prediction. Key projects include leading the Fake News Detection initiative (2021-2025) and contributing to context-aware conversational text analysis (2022-2025). His articles address topics like cryptocurrency price prediction using sentiment analysis and IoT data caching strategies. Awards: Multiple teaching excellence awards from 2017-2020. Advising: Mentored student teams in hackathons/datathons and supervised PhD projects like Medical Administration Errors in NICU. Consulting: Collaborations with MIMOS and Institute of Health System Research (IHSR). Community contributions include Campus Community Engagement programs and Deloitte-Monash KidsEdu initiatives.

HENG Cheng Suangمشاهده پروفایل

دانشیار

• Digital Transformation
• Platforms & Innovation
• Computational Social Science
• +۴ مورد دیگر

Dr. HENG Cheng Suang is an Associate Professor and Deputy Head of the Department of Information Systems and Analytics at the National University of Singapore (NUS) School of Computing. He holds a Ph.D. from Stanford University and has extensive experience in IT strategy, digital transformation, and entrepreneurship research. His roles include Chair of NUS Teaching Academy and membership in editorial boards of MIS Quarterly and IEEE Transactions on Engineering Management . Education: Ph.D. (Organization, Technology & Entrepreneurship, Stanford University); M.Sc. and B.Sc. (Computer & Information Sciences, NUS). Research focuses on IT strategy, digital platforms, and organizational innovation. Key areas include fintech empowerment (e.g., Yu'E Bao case study), signaling effects of subsidies on IPOs, and social media dynamics. Over 50 peer-reviewed publications span journals like JAIS , MIS Quarterly , and conferences such as ICIS and ECIS. Awarded multiple NUS Teaching Excellence Awards (2010–2022) and SOC Honors. Advised PhD student Li Ding, now at Nanjing University. Active in editorial and committee roles including NUS Overseas Colleges Steering Committee and Departmental Ethics Review Committee. Labs/teams: Collaborates with industry on digital economy projects. Research highlights include analyzing government subsidy impacts on startups and exploring paradoxes in e-commerce word-of-mouth dynamics.

Sandeep Baligaمشاهده پروفایل

استاد

• International Relations
• Bounded Rationality and Economic Decision-Making
• Theory of the Firm/Organization Design
• +۳ مورد دیگر

Sandeep Baliga is the John L. and Helen Kellogg Professor of Managerial Economics & Decision Sciences at the Kellogg School of Management, Northwestern University. His research focuses on game-theoretic approaches to international relations, mechanism design, and organizational theory. He has held visiting positions at Harvard University, MIT, and Boston University, and was a Fulbright Scholar and Fellow at Stanford’s Center for Advanced Study in the Behavioral Sciences. Education: PhD in Economics, Harvard University, 1993 BA in Economics, St. John's College, Cambridge University, 1988 (Double First Class Honors) Research Interests: International Relations and Conflict Analysis Bounded Rationality and Decision-Making Organizational Design and Firm Theory Mechanism Design and Contract Theory Cheap Talk and Repeated Games Recent Academic Contributions: Pioneering work on the causes of war, compellence strategies, and deterrence dynamics. Exploration of behavioral biases in economic decision-making and their market impacts. Co-creator of Purple Pricing, an auction method for ticket allocation used at Northwestern University. Awards & Recognition: Excellence in Refereeing Awards (multiple years) from the American Economic Review Google Research Award (2014–2016) Fellow, Center for Advanced Study in the Behavioral Sciences (2011–2012) Teaching & Editorial Work: Doctoral courses on Conflict and Cooperation, Contract Theory, and Mechanism Design. Editorial roles at Games and Economic Behavior , European Economic Review , and the Berkeley Electronic Press Journals in Theoretical Economics. Labs & Collaborations: Co-director of the Math Center at Kellogg. Collaborative projects with Tomas Sjöström on conflict theory, firm design, and international relations frameworks.

Leandros Tassiulasمشاهده پروفایل

استاد

• Computer Networks
• Wireless Systems
• Communication Protocols
• +۵ مورد دیگر

Leandros Tassiulas is the John C. Malone Professor of Electrical & Computer Engineering at Yale University, affiliated with the School of Engineering & Applied Science. His research focuses on network algorithms, wireless systems, quantum networks, and blockchain technologies. He holds a PhD from the University of Maryland, College Park. Key contributions include the max-weight scheduling algorithm, back-pressure control policies, and foundational work on opportunistic scheduling in wireless networks. His work spans theoretical models, protocol design, and experimental platforms. Research Highlights: Quantum network control and entanglement distribution Federated learning in edge networks Blockchain payment channel optimization Smart grid resource allocation Awards: IEEE Koji Kobayashi Award (2016) ACM Mobihoc Best Paper (2016) IEEE INFOCOM Lifetime Achievement (2007) Bodossaki Foundation Prize (1999) Lab & Collaborations: Active in quantum network experimentation, wireless testbed development (e.g., NITOS), and industry partnerships exploring AI-driven telecom solutions. His work bridges theoretical network science with real-world implementations in 5G/6G, blockchain, and quantum infrastructures.

• Microeconomic Theory
• Information Economics
• Industrial Organization
• +۳ مورد دیگر

Alex Sam is an Assistant Professor of Economics in the Department of Economics at the University of Calgary, affiliated with the Faculty of Arts. His research focuses on Microeconomic Theory, Information Economics, Industrial Organization, and Privacy/Digital Economics, with a particular emphasis on signaling mechanisms in markets and privacy implications in digital economies. He holds a PhD in Economics from McMaster University (2024), an MSc in Mathematics (Thesis-Based) from McMaster University (2018), and a BA in Mathematics & Economics from the University of Ghana (2015). His recent work explores topics like entrepreneurial equity financing, consumer control in competitive markets, and monotone equilibria in matching markets with signaling. He also delves into optimal delegation frameworks and cheap talk in game-theoretic contexts. No scientific awards are listed, but his research outputs reflect active engagement with both economic theory and applied digital economics challenges. No formal advisees/students are listed, though his research interests suggest potential supervision in areas like information economics and market design.

Zdravko Botevمشاهده پروفایل

مدرس

• Monte Carlo Methods
• Network Reliability
• Kernel Density Estimation
• +۳ مورد دیگر

Dr. Zdravko Botev is a Lecturer in Computational Statistics and Applied Probability at the School of Mathematics and Statistics, UNSW Sydney. He holds a PhD from the University of Queensland (2010) and has held postdoctoral fellowships at the Universities of Montreal and Cambridge. His research focuses on adaptive Monte Carlo methods, rare-event probability estimation, network reliability modeling, kernel density estimation, and model selection. He is the author of widely used MATLAB scripts for nonparametric density estimation and has contributed to influential texts like Data Science and Machine Learning: Mathematical and Statistical Methods . Education: PhD in Statistics, University of Queensland, Australia, 2010 Research Interests: Dr. Botev's work emphasizes computational statistics and rare-event simulation, with applications in network reliability and kernel density estimation. His methods address challenges in high-dimensional data analysis, Monte Carlo algorithms, and efficient statistical computation. Key areas include: - Adaptive Monte Carlo methods for rare-event simulation - Kernel density estimation techniques and boundary conditions - Variance reduction strategies in statistical modeling Professional Engagement: Member of the Australian Academy of Sciences Christopher Heyde Medal Awards Committee (2021–2023) Steering Committee member for the Monte Carlo Methods Conference Associate Editor for INFORMS Journal of Computing and Australian & New Zealand Journal of Statistics Chair of the organizing committee for the 12th International Conference on Monte Carlo Methods and Applications (2019) Teaching: Dr. Botev has taught courses such as Data Mining (MATH5836), Geotechnical Data Collection and Analysis (MINE8680), and Probability and Statistics (MATH2901/MATH2931). His teaching has received positive student evaluations for clarity and engagement.

• Taxation
• Information Economics
• Financial Intermediation
• +۵ مورد دیگر

Yupeng Lin is the Dean's Chair Associate Professor and Assistant Dean (Research) at the National University of Singapore (NUS) Business School. He joined NUS in 2016 after serving as an Assistant Professor at City University of Hong Kong. His research focuses on taxation, information economics, and financial markets, with publications in top journals like The Accounting Review and Journal of Financial Economics . Lin holds a Ph.D. in Finance from NUS (2014) and a Bachelor's in Economics from Sun Yat-sen University (2008). He teaches courses in corporate governance, valuation, and banking at both undergraduate and graduate levels. Research Interests: Taxation policy, information asymmetry in financial markets, corporate disclosure strategies, and the interplay between legal frameworks and business decisions. His recent work explores AI's impact on information processing, regulatory uncertainty in banking, and social movements' economic effects. Publications highlight topics such as peer pressure in corporate disclosures, tax incidence in loan pricing, and the consequences of sovereign credit downgrades. Teaching activities include leading PhD-level banking courses and corporate valuation modules for master's students.

Pramod Viswanathمشاهده پروفایل

استاد

• Blockchain Technology
• Wireless Communication
• Deep Learning for Communication Algorithms
• +۵ مورد دیگر

Pramod Viswanath is the Forrest G. Hamrick Professor in Engineering at Princeton University , with affiliations in the Department of Electrical and Computer Engineering and the Computer Science Department . His research spans blockchain technologies, wireless communication, and deep learning applications in coding theory. Ph.D. in Electrical Engineering and Computer Science, University of California-Berkeley (2000) Current research focuses on first-principles understanding and design of blockchains and communication algorithms via deep learning . He has pioneered innovations like the Trifecta consensus algorithm and Coded Merkle Tree , achieving significant improvements in blockchain throughput and security. Past work in wireless communication includes co-authoring a foundational book on the subject and designing Flash-OFDM , the first OFDM-based cellular system. His recent projects include the Prism consensus algorithm for Bitcoin scaling and Spider networking stack for blockchain efficiency. Best Paper Award, Sigmetrics (2015) Xerox Faculty Research Award, UIUC (2010) NSF CAREER Award (2002) Eliahu Jury Award, UC Berkeley EECS (2000) Bernard Friedman Prize, UC Berkeley Mathematics (2000) He has advised numerous graduate students and leads research projects at the intersection of computing, networking, data science, and security & privacy . His work includes both theoretical advances and practical implementations, with applications in decentralized finance (DeFi) and blockchain governance.

Magnus Hanssonمشاهده پروفایل

استادیار

• Market Microstructure
• Decentralized Finance (DeFi)
• Blockchain Technology
• +۳ مورد دیگر

Magnus Hansson is an Assistant Professor at Stockholm School of Economics (visiting from Stockholm University) and an affiliate researcher at the Swedish House of Finance. He holds a PhD in Economics from the University of Gothenburg and has industry experience in machine learning and data science. His research focuses on the intersection of blockchain technology, decentralized finance (DeFi), and financial economics. Notable areas include market microstructure analysis, algorithmic trading dynamics, and the application of machine learning to financial systems. He also explores sustainable finance and real estate finance. Magnus teaches courses such as Research Frontiers in Financial Economics , covering blockchain technology, DeFi, and market microstructure. His lectures emphasize practical applications of distributed ledger technologies and their implications for traditional financial systems. His publications include influential works on DeFi price impact modeling, arbitrage in crypto markets, and LSTM-based stock return prediction. While no formal awards are listed, his work has contributed significantly to understanding decentralized financial systems and blockchain's role in modern economics.

• Corporate Governance
• Executive Compensation
• Entrepreneurial Market Environments
• +۷ مورد دیگر

Professor Timothy Pollock is the Haslam Chair in Business and Distinguished Professor of Entrepreneurship at the University of Tennessee - Knoxville's Haslam College of Business. His research focuses on corporate governance, executive compensation, and entrepreneurial strategies in ambiguous contexts, particularly IPO markets. Notable contributions include work on CEO celebrity effects, corporate misconduct scandalization, and reputation dynamics. He has authored multiple books, including How to Use Storytelling in Academic Writing (2025), and serves on editorial boards for top journals like the Academy of Management Journal. Education: B.S. in Finance, Northern Illinois University MBA, University of Texas - Austin PhD, University of Illinois at Urbana-Champaign Research Interests: Pollock examines how social and political factors like celebrity, reputation, and media influence organizational outcomes. Key areas include IPO firm performance, strategic alliances, and the interplay between stigma and legitimacy in industries like medical cannabis. His 2020 work Waiting to Inhale analyzes stigma reduction strategies in stigmatized markets. Awards & Recognition: IDEA Thought Leader Award (2009) for entrepreneurship research Vallett Family Outstanding Researcher Award (2020) Oxford University Centre for Corporate Reputation Best Published Paper Award (2010) Teaching: Teaches doctoral seminars on organization theory and academic writing, as well as undergraduate entrepreneurship courses. Won the Mabel C. Chipman Award for Teaching Excellence (2002). Service: Served on editorial boards of leading journals, including AMJ and Organization Science. Holds roles like Chair of Haslam's Research Council and membership on promotion/tenure committees.

Samir Puriمشاهده پروفایل

عضو هیئت علمی

• Conflict History
• Global Security
• International Relations
• +۳ مورد دیگر

Dr. Samir Puri is a Visiting Lecturer in the Department of War Studies at King's College London and Director of Chatham House's Centre for Global Governance and Security. He holds a PhD from the University of Cambridge, an MA from King’s College London, and a BA from the University of Warwick. Current roles: Director at Chatham House, Visiting Lecturer at King's, and Associate at the Imperial War Museum Past roles: Senior Fellow at IISS-Asia (Singapore), Assistant Head of Research at DCDC (UK MoD), and Commonwealth Secretariat advisor His research focuses on imperial legacies, global security, and conflict studies. Notable works include The Great Imperial Hangover (2020) and Westlessness (2024), which explore post-colonial geopolitics and power dynamics. His policy work includes advising UK commissions on imperial history and countering extremism strategies. Recent articles analyze Russia-Ukraine dynamics, Eurasian strategic competition, and the implications of declining Western influence. Puri has authored over 30 books and articles, with media coverage in The New York Times , Financial Times , and Times Literary Supplement .

Aneesh Banerjeeمشاهده پروفایل

دانشیار

• Technology Adoption
• Artificial Intelligence
• Supply Chain Management
• +۷ مورد دیگر

Dr. Aneesh Banerjee is an Associate Professor (Reader) in Management and Associate Dean for Learning and Teaching at Bayes Business School, City St George's, University of London. His research focuses on technology adoption (ERP, AI, Automation) across industries including high-tech, healthcare, and cultural sectors. He investigates stakeholder perceptions of AI tools and organizational resilience strategies. Pedagogically, he pioneered the online Global MBA and teaches Digital Strategy and Industry 4.0 leadership. His work earned the University Chancellor’s Award for educational contributions. Research interests span digital transformation, supply chain transparency (blockchain), healthcare leadership, and organizational innovation. Notable studies include Scotch whisky industry reputation dynamics, supplier selection influenced by social media signals, and employee ownership during crises. He has authored books like The Resilient Decision-Maker and over 20 peer-reviewed articles. Professional activities include editorial roles at European Management Review and British Journal of Management , as well as collaborations with the Health Innovation Network and Institute for Family Business. His recent work explores blockchain-enabled transparency in supply chains and AI adoption trade-offs.

• Operations Management
• Healthcare Analytics
• Pharmaceutical Industry
• +۴ مورد دیگر

Ujjal Mukherjee is an Associate Professor of Business Administration at the Gies College of Business, University of Illinois Urbana-Champaign. His research spans interdisciplinary domains, with a focus on operational strategies in healthcare systems, pharmaceutical innovations, and data-driven decision-making in complex environments. He holds a leadership role in advancing methodologies for predictive analytics and computational drug discovery, with notable contributions to understanding drug resistance mechanisms in oncology. Dr. Mukherjee’s work integrates quantitative approaches from operations research, epidemiology, and bioinformatics. His recent studies address critical challenges such as optimizing testing strategies for pandemic control, modeling product recall decision-making in supply chains, and developing algorithms to identify novel drug combinations for treatment-resistant cancers. He collaborates extensively with medical institutions and public health agencies, contributing to real-world solutions for healthcare delivery and crisis management. Research Themes: Drug Resistance Mechanisms, Epidemic Modeling, Predictive Analytics, Operations in Healthcare, Computational Biology Affiliations: Gies College of Business, University of Illinois Contact: 306 Wohlers Hall, Champaign, IL | ukm@illinois.edu His publications demonstrate a commitment to translational research, bridging theoretical frameworks with practical applications in both business and life sciences domains. Current projects include optimizing school reopening strategies during pandemics and enhancing precision medicine through single-cell omics integration.

• Economic models with learning and adaptation
• Financial markets
• Social network formation
• +۷ مورد دیگر

David Goldbaum is an Associate Professor in the Economics Discipline Group at the University of Technology Sydney (UTS) Business School. He joined UTS in 2007 and holds a PhD in Economics from the University of Wisconsin-Madison (1996). His research focuses on economic models with learning and adaptation, financial markets, social network formation, and bounded rationality. He has supervised HDR (Higher Degree by Research) students and contributed to funded projects like the ARC Linkage grant on experimental social networks. His work explores how agents adapt behaviors, form networks, and influence collective outcomes. Key themes include leader emergence in social systems, market instability from heterogeneous strategies, and information dissemination effects. Recent studies analyze false leader dynamics, customized return policies in retail, and competitive disclosure strategies. Goldbaum has served on conference organizing committees, reviewed for journals like Economic Modelling and Computational Economics , and presented at institutions like Brandeis University. He teaches Macroeconomics and Financial Economics, emphasizing applied theory and computational methods.

• Accounting
• Auditing
• Corporate Governance
• +۳ مورد دیگر

Dr. Matthew Grosse is a Senior Lecturer in Accounting at the University of Technology Sydney (UTS) Business School, serving as Program Director for the Master of Business Analytics and Accounting Honours Program Coordinator. He holds a PhD in Accounting from UTS (2010–2014) and a Bachelor of Business (Honours) in Finance. His research focuses on Australian listed companies, examining intersections between accounting information and capital markets, corporate governance, CEO compensation, and auditing economics. Matthew has taught at UTS since 2014 and has international experience at the London School of Economics and London Business School. He actively supervises Master’s and PhD students. Research interests include auditing standards, going concern disclosures, executive compensation dynamics, and market reactions to financial information. His work has been published in journals like Contemporary Accounting Research and Auditing: A Journal of Practice and Theory . Awards include UTS and AFAANZ scholarships during his PhD. Funded research explores information intermediaries' roles in equity markets, audit committee strategies, and the impact of bank loans and resource announcements on market valuations. Key contributions address audit committee financial expert selection, interim review report disclosures, and compensation consultant influences. Matthew collaborates with industry via Open Briefings and investor presentations, emphasizing practical applications of his research findings.