جست‌وجوی استاد و پژوهشگر

Agostino Capponiمشاهده پروفایل

استاد

• Systemic Risk
• Financial Technology
• Blockchain and Crypto Economics
• +۴ مورد دیگر

Agostino Capponi is a Professor of Industrial Engineering and Operations Research at Columbia University, affiliated with Columbia Engineering and the Data Science Institute (DSI). He holds academic fellowships at the Luohan Academy (Alibaba Group) and the Fintech@Cornell Center. His research focuses on systemic risk, financial technology, blockchain economics, and machine learning applications in finance. He has authored a best-selling book on machine learning in financial markets and received prestigious awards including the NSF CAREER Award and the JP Morgan AI Faculty Research Award. Education: Master's and PhD in Computer Science and Applied & Computational Mathematics from Caltech (2006-2009). Professional roles include Editor of Management Science , co-editor of Mathematics and Financial Economics , and leadership positions in the Bachelier Finance Society and INFORMS Finance Section. His research has been funded by NSF, DARPA, J.P. Morgan, Ethereum Foundation, and others. Research interests span blockchain governance, decentralized finance protocols, and systemic risk mitigation in financial networks. Notable contributions include work on liquidity risk, crypto-economic systems, and causal inference in financial modeling. Media coverage includes American Banker, Vox, and Chicago Booth Review. He holds a patent in military network tracking and served as a visiting scholar at the Federal Reserve Bank of New York.

İBRAHİM HALİL EFENDİOĞLUمشاهده پروفایل

دانشیار

• Marketing
• Digital Marketing
• Metaverse Marketing
• +۶ مورد دیگر

İBRAHİM HALİL EFENDİOĞLU is an Associate Professor at Gaziantep University's Faculty of Economics and Administration, Department of Business Administration. Previously, he served as a Lecturer at Gaziantep University's Presidency, Department of Informatics from 2016 to 2023. His academic journey includes a Doctorate in Business Administration from Hasan Kalyoncu University (2015-2019), a Master's in Computer Education from Gazi University (2006-2008), and a Bachelor's in Computer Engineering from Mersin University (2000-2004). His primary research interests focus on the intersection of marketing and emerging digital technologies. EFENDİOĞLU's work spans digital marketing, artificial intelligence applications in marketing, Metaverse marketing, blockchain technology, and NFT marketing. His research demonstrates how these emerging technologies are reshaping consumer behavior and marketing strategies in both Turkish and global contexts. His recent publications (2023-2024) reveal a strong trend toward examining cutting-edge digital marketing phenomena. His work covers diverse areas including AI-powered marketing, Metaverse consumer behavior, cryptocurrency adoption, and NFT market dynamics. These publications appear in both Turkish and international journals, demonstrating his ability to contribute to scholarly discourse across linguistic boundaries. 2024 Kamu UBYT Programı Araştırmacı Teşvik Ödülü (TÜBİTAK) Yayın Teşvik Ödülü 3rd. Best Paper Award (International Islamic Marketing Association, 2023) EFENDİOĞLU has supervised graduate students, including NİHAL BÜLBÜL's thesis on social media marketing activities and their impact on purchase intention. His teaching responsibilities span undergraduate, graduate, and associate degree levels, covering courses in electronic commerce, marketing principles, digital marketing, and information technologies. He has also participated in numerous research projects related to digital marketing, Metaverse applications, and e-commerce education. His interdisciplinary background in computer engineering and business administration uniquely positions him to analyze the technological and behavioral aspects of digital marketing phenomena. This dual expertise is evident in his research that bridges technical understanding of emerging platforms with consumer behavior insights.

• Cybersecurity
• Blockchain
• Machine Learning
• +۱۲ مورد دیگر

Edgar Weippl is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice Dean and Head of the Research Group Security and Privacy. His work spans cybersecurity, blockchain, and machine learning, with teaching roles in information security and software security courses. Current Positions: Vice Dean (Faculty of Computer Science), Head (Security and Privacy Research Group), Deputy Head (Neuroinformatics & Knowledge Engineering Groups) Research Interests: Cybersecurity, blockchain, IoT security, code obfuscation, privacy technologies, reinforcement learning, and socio-technical systems security Selected Publications: Focus on blockchain privacy, VoWiFi security, code obfuscation, and reinforcement learning applications

Vallipuram Muthukkumarasamyمشاهده پروفایل

دانشیار

• Cyber Security
• Blockchain Technology
• Wireless Sensor Networks
• +۷ مورد دیگر

Professor Vallipuram Muthukkumarasamy is an Associate Professor at the School of Information and Communication Technology at Griffith University, where he has pioneered Network Security teaching and research since joining in 2001. He leads the Networking & Security and Blockchain Research Group at the Institute for Integrated and Intelligent Systems. Muthu holds a Ph.D. from Cambridge University and a B.Sc. Eng. with 1st Class Honors from the University of Peradeniya, Sri Lanka. His extensive academic appointments include Group Leader of Network Security and Blockchain Research (2008-present), Program Director for the Graduate Certificate in Blockchain Technology (2022-present), HDR Convenor (2022-present), Member of the University Council (2020-2021), and Deputy Head of School for Learning and Teaching (2013-2016). Muthu's research expertise spans Cyber Security, Blockchain Technology (DLT), and Wireless Sensor Networking. He has secured national and international funding for interdisciplinary research, published over 150 articles in international journals and conferences, and supervised more than 30 research Masters and PhD students to completion. He pioneered the Network Security teaching at Griffith and successfully proposed and led the development of Queensland's first Master of Cyber Security Program, creating a truly interdisciplinary curriculum with Law, Business, and Criminology Schools. His recent publications reveal a strong research trajectory in blockchain applications, security visualization techniques, and wireless sensor networks. His work explores DeFi user behavior analysis, NFT privacy risks in the metaverse, blockchain transaction visualization, and the integration of blockchain with AI for credit scoring systems. His wireless sensor network research focuses on energy-efficient routing protocols and network lifetime modeling. Muthu has received multiple best teacher awards from students and peers, and during his tenure as Deputy Head of School, the Griffith IT program was ranked #1 in Australia for overall student satisfaction. He successfully proposed and developed Cisco-related courses at undergraduate and postgraduate levels and instrumental in creating industry-sought-after networking and security courses across all academic levels. His funded research includes significant projects such as Increasing the South East Queensland Cyber Security Workforce, Linking Digital Payments to Crime Using Big Data Machine Learning Tools, Improving Water Markets through Digital Technologies, and developing Indo-Australian partnerships for digital transformation through blockchain. He is actively involved in community and charity activities and has been instrumental in internationalization efforts for Griffith University.

Peng Gaoمشاهده پروفایل

استادیار

• Cybersecurity
• Network Security
• AI for Security
• +۷ مورد دیگر

Peng Gao is an Assistant Professor in the Department of Computer Science at Virginia Tech. He is affiliated with the Virginia Tech Security & Intelligence Lab and holds a Ph.D. in Electrical Engineering from Princeton University. Prior to his faculty position, he was a postdoctoral researcher at UC Berkeley and held research internships at Microsoft Research, Facebook, and NEC Laboratories America. Education includes a B.Eng. from Shanghai Jiao Tong University (2009-2013), M.A. and Ph.D. from Princeton (2013-2019), and an exchange program at the University of Hong Kong (2012). Key roles include Technical Program Committee memberships for conferences like IEEE S&P, USENIX Security, and CCS. Research focuses on Cybersecurity (APT prevention, network security with P4/eBPF) AI applications (LLMs for security, AI safety) Systems security (attack investigation, threat intelligence) AI for science (molecular/materials prediction) Notable awards include the 2022 Amazon-VT Initiative Faculty Award, CCI Fellowships, and multiple best paper nominations. His lab has received grants from CCI, NSF, and industry partners like Google Cloud and Cisco. Teaching includes courses on Principles of Computer Security (CS 4264) and Blockchain Technologies (CS 5594). He advises ~20 students across Ph.D., MS, and undergraduate levels.

Toby Daviesمشاهده پروفایل

دانشیار

• Crime Science
• Urban Analytics
• Spatial Analysis
• +۶ مورد دیگر

Toby Davies is an Associate Professor in Criminal Justice Data Analytics at the University of Leeds, School of Law. His work focuses on quantitative criminology, spatial analysis, and computational methods to inform crime prevention. He holds a Mathematics degree from the University of Oxford (2008) and a PhD from University College London (UCL), followed by postdoctoral research on the EPSRC-funded Crime, Policing and Citizenship project. Before joining Leeds in 2023, he was at UCL’s Department of Security & Crime Science. His research spans interdisciplinary topics including urban form and crime, crime modeling, social networks, and cybercrime. He has collaborated with police agencies (West Yorkshire, Thames Valley, West Midlands Police) and governmental bodies (UK Home Office, London Mayor’s Office). A strong advocate for Open Science, he co-founded JDI Open to promote open practices in crime science. His recent work emphasizes policy interventions like phasing out pointed kitchen knives to reduce knife crime, leveraging data-driven approaches. He publishes widely in criminology, physics, network science, and general science journals, and has guest-edited special issues. His applied research aims to bridge theory and practice, developing tools deployed operationally in policing. Current interests include financial crime dynamics, social contagion of crime, and street network configurations’ impact on crime patterns.

Aleksander Berentsenمشاهده پروفایل

استاد

• Blockchain Technology
• Cryptocurrencies
• Monetary Policy
• +۵ مورد دیگر

Prof. Dr. Aleksander Berentsen is a Professor of Economics at the University of Basel’s Faculty of Business and Economics, specializing in Blockchain, Cryptocurrencies, and nonconventional monetary policy. His research addresses topics like Central Bank Digital Currencies (CBDC), negative interest rates, and financial innovation. He has held visiting positions at top institutions including UC Berkeley and the University of Pennsylvania, and is a research fellow at the Federal Reserve Bank of St. Louis. Berentsen co-authored the influential book Bitcoin, Blockchain, and Cryptoassets: A Comprehensive Introduction (MIT Press, 2020), and has published extensively in journals like the American Economic Review and the Review of Economic Studies. Education: Studied at the Universities of Basel, Bern, and the London School of Economics. Key roles include advisory positions for the Swiss National Bank, ECB, and Bank for International Settlements. His work bridges theoretical economics with practical policy, particularly in digital finance and monetary systems. Research Interests: Blockchain technology, CBDC design, cryptocurrency stability, monetary policy tools (e.g., negative interest rates), and financial inclusion. He explores how decentralized systems can reshape traditional financial frameworks, with a focus on liquidity, stability, and regulatory challenges. Publications highlight his contributions to understanding cryptoasset dynamics, CBDC frameworks, and the societal implications of digital currencies. His 2020 book is widely praised as a foundational text for both academics and practitioners. Current projects include zero-knowledge proofs in blockchains and CBDC remuneration strategies. Labs/Teams: Co-founded the Center for Innovative Finance at the University of Basel to advance interdisciplinary research in fintech and digital currencies.

Xi Chenمشاهده پروفایل

استادیار

• Financial Markets
• Asset Mispricing
• Behavioral Finance
• +۴ مورد دیگر

Dr. Xi Chen is an Assistant Professor in Finance (Accounting and Finance) at the University of Sussex Business School since November 2019. He holds a PhD from the ICMA Centre, Henley Business School, University of Reading (2014), and has held roles including Visiting Research Associate at the University of Oxford (2015–2017) and Behavioural Scientist at Oxford Risk Ltd (2015–2019). Currently affiliated with Oxford Risk as an associate research fellow. Education: PhD in Finance (2014), University of Reading; MSc in Finance (2010–2011), University of Reading. Certifications: Fellow of the Higher Education Academy (FHEA). Research focuses on financial market dynamics, investor behavior, and FinTech innovations. Key areas include crypto-asset analysis, real options valuation, and machine learning applications. Proficient in Python, R, MATLAB, and Stata. Teaching includes modules like Programming in Finance, Portfolio Management, and FinTech and Financial Transformation. Active in developing new courses for undergraduate and postgraduate programs. Awards: Recognized for academic contributions through Fellow of the Higher Education Academy. Labs/Teams: Collaborates with Oxford Risk on behavioral science applications and maintains affiliations in academic and industry networks.

• Cyber Security
• Cryptography
• Steganography
• +۶ مورد دیگر

Rainer Böhme is a Professor at the University of Münster, Germany. His research focuses on cyber security, cryptography, steganography, digital forensics, and blockchain technology. He has made significant contributions to understanding cyber risk quantification, central bank digital currencies (CBDCs), and the socio-technical challenges in cryptocurrency systems. Key areas of research include steganalysis (analysis of hidden data in digital media), forensic techniques for neural network inference pipelines, and the economic implications of cyber insurance. He actively contributes to conferences like the Financial Cryptography Workshops (FC) and the Workshop on Information Hiding and Multimedia Security (IH). Böhme's work bridges theory and practice, addressing real-world issues such as privacy in CBDCs, adversarial attacks on AI systems, and the role of law enforcement in cryptocurrency markets. His recent studies explore the security implications of image orientation in JPEG files and the detection of privileged parties in blockchain transactions. He has collaborated with institutions like the University of Vienna and ETH Zurich, and his research has been published in top-tier venues such as IEEE Transactions on Information Forensics and Security and the ACM Conference on Computer and Communications Security (CCS).

Lawrence M. Ausubelمشاهده پروفایل

استاد

• Microeconomic Theory
• Game Theory
• Economics of Asymmetric Information
• +۴ مورد دیگر

Lawrence M. Ausubel is a Professor of Economics in the Department of Economics at the University of Maryland. He received his PhD in Economics (1984), Master of Legal Studies, and MS in Mathematics from Stanford University. His research focuses on microeconomic theory, game theory, and the economics of asymmetric information, with applications to auction theory and market design. PhD in Economics (Stanford University, 1984) Master of Legal Studies (Stanford Law School) MS in Mathematics (Stanford University) AB in Mathematics (Princeton University) A leading expert in auction theory, Ausubel has made significant contributions to dynamic auctions, combinatorial bidding, and market mechanisms. His work includes developing the efficient ascending-bid auction format (known as the 'Ausubel auction'), analyzing durable goods monopoly, and studying bargaining under incomplete information. He has also explored credit card market dynamics, financial rescue strategies, and electricity market design. Recent research involves cryptographic choice mechanisms, core-selecting auctions with incomplete information, and iterative pricing models. His publications span journals like Review of Economic Studies , American Economic Review , and Econometrica , with patents in auction technology and applications in telecommunications, energy, and finance. 23 U.S. patents related to auction technology Testified before U.S. Congress on credit card markets Founded Power Auctions LLC (2003) Co-inventor of auction formats used by FCC, ISED Canada, and ACMA

Liang Xueمشاهده پروفایل

استادیار

• Applied Cryptography
• Cybersecurity
• Data Security and Privacy
• +۴ مورد دیگر

Liang Xue is an Assistant Professor in the School of Information Technology at York University. She holds a PhD in Electrical and Computer Engineering from the University of Waterloo (2022) and completed a postdoctoral fellowship at the University of Guelph’s School of Computer Science (2022–2024). Her research focuses on applied cryptography, blockchain security, privacy-preserving AI, and cybersecurity in cloud and IoT systems. She has published in top-tier journals like IEEE Transactions on Dependable and Secure Computing, and conferences such as IEEE International Conference on Communications. Her work addresses challenges in data privacy, secure authentication, and regulatory compliance in decentralized systems. Recent projects include privacy-enhancing technologies for access control, blockchain-based data trading frameworks, and federated learning with privacy guarantees. She actively contributes to standards for cybersecurity in smart cities and next-generation wireless networks.

• Mechanism Design
• Auction Theory
• Blockchain Economics
• +۴ مورد دیگر

Mallesh M Pai is the Lay Family Associate Professor in the Department of Economics at Rice University and a CEPR Research Fellow. His research bridges mechanism design, auction theory, and blockchain economics, with applications to decentralized finance (DeFi) and privacy economics. Prior to Rice, he was a Janice and Julian Bers Assistant Professor at the University of Pennsylvania. PhD in Managerial Economics and Strategy, Kellogg School of Management, Northwestern University Bachelor's in Computer Science and Engineering, Indian Institute of Technology, Delhi His work focuses on designing robust mechanisms in environments with information asymmetry, privacy constraints, and decentralized systems. Recent publications address dynamic transaction fees, blockchain centralization, and algorithmic collusion. He serves on program committees for major conferences in computer science and economics. Indirect Persuasion (Journal of Political Economy) Dynamic Transaction Fee Mechanism Design (with Max Resnick) Collusive Outcomes via Pricing Algorithms (Marketing Science) Mallesh has received significant recognition for his work, including the Best Paper award at the American Economic Journal: Microeconomics (2021) and Best Pricing Paper from the American Marketing Association RAPSIG (2023). His research is supported by NSF grants on fair data analysis and digital privacy foundations. He teaches graduate and undergraduate courses in microeconomic theory and market design at Rice, emphasizing practical applications of theoretical models. His Erdős number is 3, reflecting interdisciplinary collaborations.

Alex Zarifisمشاهده پروفایل

مدرس

• Information Systems
• Financial Technology
• Fintech
• +۵ مورد دیگر

Dr Alex Zarifis is a Lecturer in Information Systems at the Southampton Business School , University of Southampton. His work focuses on the intersection of technology and business, with particular emphasis on financial technology applications. BSc from University of Leeds MSc and PhD from University of Manchester Research areas include: Trust in digital systems Blockchain and cryptocurrency Artificial Intelligence applications Financial technology (Fintech) Business model innovation Electronic business His recent publications explore: Trust mechanisms in Central Bank Digital Currencies (CBDC) AI governance in Fintech boards Decentralized exchange adoption factors Agile responses in e-governance Mental health implications of research collaboration Professional affiliations: Member of CORMSIS (Centre for Operational Research, Management Science and Information Systems) Research affiliate at Cambridge Center for Alternative Finance (CCAF)

Iwa Salamiمشاهده پروفایل

استاد

• Financial Regulation
• FinTech Law
• Central Bank Digital Currencies (CBDCs)
• +۵ مورد دیگر

Prof. Iwa Salami is a Professor of Law at the Royal Docks School of Business and Law, University of East London. She serves as Director of the Centre of FinTech, Programme Leader for the LLM in FinTech Law, and oversees Postgraduate Research Degrees in Law. She has held roles such as member of the Central Bank Digital Currency (CBDC) Academic Advisory Group (Bank of England/HM Treasury, 2023) and Governing Council Member of the British Institute in Eastern Africa (2016–2022). Education: PhD (Queen Mary, University of London) LLM (King's College, University of London) LLB (University of Westminster) PG Cert in Learning and Teaching in Higher Education Research Interests: Regulation of mobile payments, crypto-assets, CBDCs, blockchain, AI in finance. Her work emphasizes African financial systems and global regulatory challenges. Recent focus includes decentralized finance (DeFi), NFTs, and metaverse legal frameworks. Awards: Fellow of the Higher Education Academy (FHEA) Grants & Advising: Supervises PhD students on topics like crypto regulation in Africa and AI in FinTech. Engages with industry partners including Barclays, HSBC, and Algorand Foundation to bridge academic-research and policy impact. Labs/Teams: Leads the Centre of FinTech, collaborating with global institutions on CBDC policy, digital identity, and FinTech fraud prevention.

• Finance
• Corporate Finance
• Innovation
• +۶ مورد دیگر

Jan Bena is an Associate Professor and Chair of the Finance Division at the Sauder School of Business, University of British Columbia. He holds dual PhDs in Finance (London School of Economics) and Economics (CERGE-EI). His research focuses on innovation, corporate finance, and entrepreneurship, with notable contributions to understanding corporate innovation dynamics, ownership structures, and the interplay between finance and global markets. He leads initiatives such as the Portfolio Management Foundation Program and advises the UBC SWIFT: Sauder Women in Finance Training Program. He also holds the Bank of Montreal Chair in International Finance. His research interests span corporate innovation (process and technological), decentralized finance (DeFi), private equity ownership structures, and the impact of global factors on firm behavior. He has developed influential datasets, including the Global Corporate Patent Dataset and Process Innovation Patent Dataset, which analyze innovation trends across industries and countries. His work frequently addresses topics like multinational corporation strategies, labor market interactions, and financial market dynamics. Key contributions include studies on how employment protection laws influence innovation, the propagation of economic downturns through multinational firms, and the long-term effects of foreign institutional ownership. His articles consistently address critical questions in corporate finance, combining theoretical models with empirical evidence from large datasets. He teaches courses on entrepreneurial finance and private equity, reflecting his expertise in these areas. Bena collaborates with leading institutions and scholars globally, contributing to both academic discourse and practical frameworks for financial decision-making. His work bridges theoretical innovation with real-world applications, influencing policy and business strategies in areas like sustainability, technological transition, and corporate governance.