جست‌وجوی استاد و پژوهشگر

Ying Chenمشاهده پروفایل

دانشیار

• Financial Statistics
• Machine Learning
• Quantitative Finance
• +۷ مورد دیگر

Assoc Prof Ying Chen is an Associate Professor at the National University of Singapore , affiliated with the Department of Mathematics, Asian Institute of Digital Finance (as Academic Director of PhD Program in Digital FinTech 2022–2024), Risk Management Institute (2019–2023), Department of Statistics and Data Science (2019–2023), and Department of Economics (2018–2023). She also contributes to NUS Graduate School for Integrative Sciences and Engineering since 2016. Research Interests include: AI forecasting and quantum computing for finance Nonstationary time series and functional data analysis Energy data analytics and precision medicine Network autoregression and spatial-temporal modeling Explainable AI and citation metrics Portfolio liquidation and market-making algorithms Article Trends demonstrate expertise in: Adaptive forecasting for gas flows and electricity prices Blockchain network influence detection Quantum computing applications in finance Functional autoregression with mixed predictors Credit rating fairness and explainability High-resolution implied volatility modeling Scientific Awards include: ISI Elected Member (2016–) International Statistical Institute Council (2023–2027) IASC Scientific Secretary (2017–2019, 2023–2025) Advisory roles for EU FIN-TECH and xAIM projects

Conor Ryanمشاهده پروفایل

استاد

• Genetic Programming
• Genetic Algorithms
• Grammatical Evolution
• +۷ مورد دیگر

Conor Ryan is a Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a Science Foundation Ireland-funded Investigator since 2002 and a member of multiple research centres including Lero – the Irish Software Research Centre and the Limerick Digital Cancer Research Centre. His research focuses on Genetic Programming, Grammatical Evolution, and their applications in domains like healthcare analytics, digital circuit design, and financial modeling. He has authored over 250 publications, with recent work emphasizing automated feature selection in medical diagnostics, neural architecture search, and blockchain ecosystems. Teaching includes courses on Foundations of Computer Science and Computer Games Programming. Research interests span evolutionary computation, machine learning, and interdisciplinary applications. Collaborations involve global institutions, reflecting his work's impact across computer science, engineering, and healthcare. His research has addressed challenges in breast cancer diagnosis via genetic algorithms, cryptocurrency volatility prediction using random forests, and automated generation of digital circuits. Ongoing projects explore interpretability in AI, energy-efficient computing, and sustainable transport systems through predictive analytics. Professional memberships include roles in the Centre for Research Training in Foundations of Data Science and the Data-Driven Computer Engineering Research Centre, underscoring his commitment to interdisciplinary innovation.

Isik Akinمشاهده پروفایل

مدرس ارشد

• Behavioral Finance
• FinTech
• Credit Risk Management
• +۵ مورد دیگر

Dr Isik Akin is a Senior Lecturer in Accounting and Finance at Bath Spa University and leads the Accounting Pathway. He teaches undergraduate and postgraduate modules including Financial Accounting, Management Accounting, Corporate Financial Management, and Quantitative Research Methods. Education: PhD in Accounting and Finance (Bath Spa University), PhD in Economics and Finance (Istanbul Gelisim University), MSc in Finance (University of the West of England), BSc in Mathematics (Trakya University) Professional Qualifications: Fellowship in Higher Education Academy, Chartered Institute for Securities & Investment (CISI) His research focuses on Behavioral Finance , FinTech , Credit Risk Management , and Sustainable Finance . Recent publications analyze: Enterprise valuation dynamics (FTSE 100) Metaverse asset valuation frameworks Interconnected financial markets (stocks, commodities, crypto) Green investments in real estate He has secured significant international funding including the Connect4Innovation UK-Turkey partnership grant (2021-2022, £50,000) and coordinated EU projects like the Life-Long Learning Programme (2016-2017). Scientific Awards & Roles: Chartered Institute for Securities & Investment (CISI) certified Fellow of the Higher Education Academy Advisory Board Member: Izlek Academic Journal, Metropolitan Business Review Editorial Board Member: International Journal of Economics and Financial Research His career spans multiple institutions including Worcester University and University of Arts London, with expertise in international finance, quantitative methods, and financial globalization.

Antoinette Schoarمشاهده پروفایل

استاد

• Finance
• Entrepreneurial Finance
• Fintech
• +۳ مورد دیگر

Antoinette Schoar is the Stewart C. Myers-Horn Family Professor of Finance and Entrepreneurship at the MIT Sloan School of Management. She holds a PhD in Economics from the University of Chicago and an undergraduate degree from Germany. Her research focuses on entrepreneurial finance, fintech, consumer finance, and cryptocurrencies. She co-founded ideas42, a nonprofit applying behavioral economics to social issues, and co-directs MIT's Consumer Finance Initiative. Education: PhD in Economics, University of Chicago Undergraduate Degree, Germany Research Interests: Her work spans cryptocurrency markets, household finance, and financial intermediation. Recent projects include analyzing the Terra Luna crash, crypto retail trading behavior, and the impact of remote work on labor dynamics. She emphasizes policy-relevant insights, particularly in consumer protection and financial stability. Articles Overview: Her recent publications examine financial advice markets, mortgage market segmentation, and the effects of the pandemic on small businesses. These reflect a focus on real-world applications of financial theory, blending empirical analysis with policy implications. Awards: 2024 TIAA Paul A. Samuelson Award 2009 Kauffman Prize Medal Brattle Prize (Journal of Finance) Advising & Grants: She advises on fintech policy and has led NBER Corporate Finance research. Her executive education courses (e.g., Blockchain and Crypto Applications) bridge academic insights with industry practices. Labs/Initiatives: Co-directs MIT Sloan’s Consumer Finance Initiative, exploring technological impacts on consumer markets. Engaged with the NBER Corporate Finance group and serves as Executive Editor of the Journal of Finance.

Markos Zachariadisمشاهده پروفایل

استاد

• Financial Technology (FinTech)
• Economics of Networks
• Digital Innovation & Productivity
• +۶ مورد دیگر

Professor Markos Zachariadis is the Chair in Financial Technology (FinTech) and Information Systems at Alliance Manchester Business School (AMBS), University of Manchester. He holds roles in the World Economic Forum’s Global Future Council on Resilient Financial Systems and is a FinTech Research Fellow at the Cambridge Centre for Digital Innovation. His research focuses on the economics of digital innovation, payment systems (e.g., SWIFT), and Open Banking. Zachariadis has authored/co-authored influential works such as The Society for Worldwide Interbank Financial Telecommunication (SWIFT) and contributes to policy discussions globally. Education: PhD in Management (Economics of Payment Systems), London School of Economics (2011) MSc in Analysis, Design and Management of Information Systems, London School of Economics (2004) Bachelor of Economics, University of Patras (2003) Research Interests: Financial Technology, Payment Networks, Digital Innovation, Data Standards, Blockchain, and Regulatory Impact. His work bridges academia and industry, addressing challenges in financial infrastructure and digital transformation. Awards: Recipient of prestigious awards including the NET Institute Award and SWIFT Institute Award for contributions to payment systems and Open Banking research. Grants & Advisory Roles: Leads projects on FinTech regulation and financial crime, collaborating with institutions like the Hellenic Competition Commission. His advisory roles span global organizations including the Bank of England and European Commission. Labs/Teams: Founding Director of the Centre for Financial Technology Studies (CFTS) at Manchester Business School, fostering interdisciplinary research in FinTech.

• Cryptography
• Information Security
• Cryptographic Automation
• +۳ مورد دیگر

Christina L. Garman is an Assistant Professor in the Department of Computer Science at Purdue University, where she joined in Spring 2018. Her research focuses on practical cryptography and cryptographic automation to make secure system development accessible to non-experts through error-resistant design methodologies. Her educational background includes: Bachelor of Science in Computer Science and Engineering from Bucknell University (2011) Bachelor of Arts in Mathematics from Bucknell University (2011) Master of Science in Engineering in Computer Science from Johns Hopkins University (2013) Doctor of Philosophy in Computer Science from Johns Hopkins University (2017) Professor Garman's work centers on real-world cryptographic system security, spanning protocol analysis (e.g., RC4 in TLS, Apple iMessage flaws), decentralized anonymous systems (Zerocash/ZCash), and cryptographic automation. She pioneered techniques for removing human error in cryptographic deployments through automated tools and frameworks. Her research bridges theoretical cryptography with practical implementation challenges in privacy-preserving technologies and secure infrastructure. Analysis of her 2021-2025 publications reveals expanding research horizons: hardware security vulnerabilities (Rowhammer, SGX), privacy network enhancements (Tor onion services), software supply chain security (SBOM tools), and advanced cryptographic protocols (zkSNARKs, MPC). This evolution demonstrates consistent focus on real-world security impact while diversifying into hardware-software cross-layer threats and formal verification methods for cryptographic implementations. Her major scientific recognitions include: NSF CAREER Award (2021) for cryptographic automation research ACM CCS Best Paper Award (2016) for iMessage security analysis IEEE Test of Time Award (2024) for foundational Zerocash work Professor Garman co-founded ZCash, a privacy-focused cryptocurrency based on her Zerocash protocol, and her NSF CAREER grant supports cryptographic automation development. Her research has received significant media coverage in The Washington Post, Wired, and The New York Times, highlighting real-world relevance. While specific student advising details aren't public, her active publication record indicates ongoing mentorship of graduate researchers in security and cryptography. Her work maintains strong industry connections through ZCash development and Tor network contributions, with recent projects like keyless CDNs demonstrating practical applications of cryptographic automation. She remains a leading voice in cryptographic research communities through conference participation and collaborative projects addressing evolving security challenges.

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.

Yizhi Wangمشاهده پروفایل

استادیار

• Financialization
• Econometrics
• Climate Finance
• +۵ مورد دیگر

Dr Yizhi Wang, FHEA, is a Lecturer (Assistant Professor) in Finance at Cardiff Business School, Cardiff University, UK. He serves as Co-Director of the Cardiff Fintech Research Group and is the Editor-in-Chief of Elsevier’s Finance Research Letters . He is also Associate Editor for International Review of Financial Analysis and Research in International Business and Finance , and Guest Editor for International Review of Economics & Finance and Journal of Chinese Economic and Business Studies . Research Interests: Financialization and Econometrics Climate finance and carbon markets Cryptocurrency and FinTech indices Energy economics and risk management Green finance and ESG investing Behavioral and institutional finance Dr Wang has published extensively in world-leading journals such as Risk Analysis , European Journal of Operational Research , Journal of Economic Behavior & Organization , Energy Economics , and Journal of International Money and Finance . His work spans theoretical modeling, empirical econometrics, and policy-oriented studies. Scientific Awards: Shanghai Institute of International Finance and Economics Best Paper Award Teaching & Supervision: As a Fellow of the UK Higher Education Academy (FHEA), Dr Wang is module leader for undergraduate BS2514: Financial Markets and Institutions and postgraduate BST158: Big Data Analytics for Finance , earning consistently high teaching evaluations (4.8–4.9/5). He is available to supervise doctoral students in Financialization and has mentored graduates now employed at the University of Oxford, Morgan Stanley, and JPMorgan Chase. Labs & Research Groups: Co-Director, Cardiff Fintech Research Group Member, Cardiff Sustainable Finance Research Group Member, Environmental, Ecological, Extinction Accounting, Governance and Economics Research Group Member, Cardiff Business School Research Committee Dr Wang also curates multiple quarterly-updated indices (UCRY, ICEA, CBDCAI, NFTsAI, ACCC, FinTech Index) publicly available at https://sites.google.com/view/cryptocurrency-indices/home .

W. Brent Lindquistمشاهده پروفایل

استاد

• Computational Finance
• Financial Mathematics
• Porous Media Flow
• +۲ مورد دیگر

W. Brent Lindquist is a Professor in the Department of Mathematics and Statistics at Texas Tech University, affiliated with the TTU Mathematical Finance Program. His contact details include office location in the Mathematics & Statistics building (Room 104), phone (+1 806 834 2348), and email brent.lindquist@ttu.edu. His research spans computational financial mathematics, porous media flow, neuroscience applications, and quantum electrodynamics. Key contributions include dynamic asset pricing with market microstructure integration, pore-scale flow modeling using 3D micro-tomography, automated neuron morphology identification, and QED computations for electron magnetic moments. Recent work emphasizes ESG factor incorporation into financial models. Analysis of 2023–2025 publications reveals a dominant focus on sustainable finance, particularly ESG-integrated option pricing and portfolio optimization. Methodologies include random forests for market microstructure analysis, skew random walks for volatility modeling, and Lévy processes for Bitcoin dynamics. Cross-cutting themes involve hedonic real estate models with ESG factors and unified asset pricing frameworks bridging classical finance theories.

• Behavioral Finance
• Corporate Finance
• Financial Technology
• +۶ مورد دیگر

Arman Eshraghi is a Professor of Finance and Investment at Cardiff Business School , with 15 years of academic and industry experience. He founded the Cardiff Fintech Research Group , leads the Digital Transformation Innovation Institute 's fintech theme, and co-directs the Behavioral Finance Working Group . He serves as Editor-in-Chief of International Review of Economics and Finance and Senior Editor in multiple journals. Key academic appointments: Cardiff University (2018–present), University of Edinburgh (2013–18) International fellowships: Development Bank of Japan, University of Canterbury (New Zealand), UCL Industry engagement: Federal Reserve Bank (NY), Alan Turing Institute, CFA Society UK, CityUK Research Focus: Behavioral finance, corporate finance, financial technology, and interdisciplinary accounting. His work examines retail investor psychology, fund manager behavior, CEO decision-making, and fintech impacts on financial markets. He has published in Review of Financial Studies , Harvard Business Review , and Financial Times . Scientific Contributions: EFMD Global, Emerald Literati, and European Financial Group awards Keynote speaker at global conferences (New York, London, Mumbai, Frankfurt) Media citations in Financial Times , BBC , Forbes , and Bloomberg Teaching & Leadership: Delivers award-winning MSc/MBA/PhD courses in UK, Europe, and Asia. Holds a Postgraduate Certificate in Academic Practice and Fellow of AdvanceHE. Designed executive programs for firms including Aetna CVS Health and Scottish Widows. Research Leadership: Co-organizes international conferences like the Cardiff Financial Technology Conference and European Financial Management Association Meeting . Supervises PhD students on topics spanning fintech, behavioral finance, and CEO lifestyle impacts.

Kambiz Ghazinourمشاهده پروفایل

استاد

• Data Security and Privacy
• Data Analysis
• Privacy Enhancing Technologies
• +۴ مورد دیگر

Kambiz Ghazinour is a Professor and Chair of the Department of Cybersecurity at SUNY Canton, where he directs the Advanced Information Security and Privacy (AISP) Lab. He holds a PhD in Computer Science from the University of Calgary (2012) and a Postdoctoral Fellowship from the University of Ottawa and Children's Hospital of Eastern Ontario (2014). Previously, he served as an Assistant Professor at Kent State University (2015-2019) and earned a Master's in High Performance Scientific Computing from the University of New Brunswick (2007). Research Focus: Data Security and Privacy, Privacy Enhancing Technologies, Usable Security, Healthcare Systems, and Social Media. Key Projects: DigitalPASS—patented simulation-based privacy education tool for social media safety. His recent publications span Cybersecurity , Deep Learning , and Health Informatics , including works on cryptocurrency price prediction, Alzheimer's detection via eye tracking, and privacy-preserving surveillance. He has received multiple teaching awards such as the Best Teaching Award at the University of Calgary (2008). Faculty Recognition Award, Kent State University (2015, 2016) University Teaching Certificate (2009) Dr. Ghazinour's teaching portfolio includes graduate courses in Data Mining, Digital Forensics, Cryptography, and undergraduate instruction in cybersecurity fundamentals and programming.

• Cybersecurity and Privacy
• Data Management and Data Science
• Distributed Computing and Systems Software

Professor Jun Zhang is a leading academic in cybersecurity at Swinburne University, Australia, where he directs the Cybersecurity Lab. He has been honored as Australia's top cybersecurity researcher and instrumental in establishing Swinburne as a globally recognized cybersecurity research institution. His work includes high-impact papers and multi-million-dollar R&D projects, culminating in awards like the 2021 'Top Cybersecurity Research Institution' accolade. As course director of the Bachelor of Cyber Security, he pioneered an industry-driven teaching model with Deloitte and CSIRO, significantly boosting course enrollment. His collaborations extend to Adobe's Curriculum Innovation Program and the Australian P-TECH initiative, promoting STEM education and cybersecurity awareness. He supervises doctoral candidates and leads grants focused on AI-driven cybersecurity, smart home security, and blockchain-based edge computing. His research spans vulnerability detection, GAN forensics, IoT security, and privacy preservation in OSNs. Research interests include cybersecurity fundamentals, data science applications, and distributed systems. Notable achievements include the PTFix framework for Java vulnerabilities, the IoTFuzz smart home testing system, and CTI mining methodologies. Awards reflect his mid-career research excellence and industry partnerships. His grants with CSIRO and defense organizations emphasize real-world impact, addressing challenges from malware detection to adversarial machine learning. The Cybersecurity Lab and collaborative projects like Artchain demonstrate his commitment to bridging academia and industry. Professional activities include supervising over 20 HDR students and securing grants totaling millions. His work on blockchain-based edge storage (CSEdge) and SDCCP congestion control highlights innovation in networking. Future directions include advancing AI for design collaboration with CSIRO and enhancing privacy in smart energy technologies. His contributions span technical, educational, and community outreach domains, positioning him as a pivotal figure in cybersecurity's evolution.

Jim Thatcherمشاهده پروفایل

استادیار

• Critical GIS
• Critical Cartography
• Political Ecology
• +۵ مورد دیگر

Jim Thatcher is an Assistant Professor at the College of Earth, Ocean, and Atmospheric Sciences (CEOAS) at Oregon State University. He serves as editor of Cartographic Perspectives , a leading journal in cartography. His research focuses on the intersection of technology, society, and environment, particularly examining how data and spatial technologies operate within capitalist systems. Key areas include Critical GIS, Critical Cartography, and Digital Political Ecology. Thatcher's current projects explore equitable coastal flood risk modeling using topological data analysis, mapping infrastructural legacies of slavery in the Pacific Northwest, and creating accessible disaster response maps for non-English speakers in Oregon. He also investigates spectral governance for rural internet access, cartography's societal role, climate education through board games, and geographic influences on electoral districting. His research emphasizes critical approaches to spatial data, questioning representational practices and power dynamics embedded in geospatial technologies. Recent work includes analyzing Bitcoin mining's environmental impacts on hydropower systems and examining the World Bank's renewable energy mapping through Critical Data Studies. Thatcher actively mentors graduate students and encourages interdisciplinary inquiries blending critical social theory with computational methods. Thatcher has authored numerous articles and co-authored Data Power (Pluto Press, 2022), an open-access exploration of data's role in societal control and resistance. His scholarship bridges critical geography with emerging technologies, advocating for ethical and equitable spatial practices in an increasingly data-driven world.

Sauvik Dasمشاهده پروفایل

دانشیار

• Usable Privacy and Security
• Human-Computer Interaction
• Human-Centered AI
• +۳ مورد دیگر

Sauvik Das is an Associate Professor at Carnegie Mellon University's Human-Computer Interaction Institute (HCII), directing the SPUD Lab. His research focuses on the intersection of HCI, AI, and cybersecurity, emphasizing user agency over personal data online. He previously held roles at Georgia Tech and co-founded FuguUX, an early-stage startup improving web usability. Key research areas include socially-aware cybersecurity, privacy collective action, and physically-intuitive privacy interfaces. Notable contributions include work on seed phrase management for cryptocurrency users, anti-surveillance RFID systems, and tools like Purpose Mode to combat social media distractions. His work has received accolades such as a CHI Best Paper (2024) and a USENIX Security Distinguished Paper (2024). He has secured grants from NSF, CMU, and industry partners, and his research is covered in outlets like The Atlantic and Dark Reading. Current projects include designing subversive AI systems against surveillance, exploring ethical agent simulations, and advancing privacy governance through collective action frameworks.

Anandadeep Mandalمشاهده پروفایل

دانشیار

• Digital Finance
• Financial Technology
• Artificial Intelligence in Finance
• +۱۲ مورد دیگر

Dr Anandadeep Mandal is an Associate Professor in Finance and the Scotcoin Distinguished Chair of Digital Finance at the University of Birmingham , within the Birmingham Business School and the Department of Finance . He is the founding director of the MSc Financial Technology programme and the Programme Director for the MBA (Distance Learning), demonstrating significant leadership in academic program development. Education: PhD in Probability Distribution Fitting, Cranfield University (2016) MRes in Management Science, Cranfield University (2012) MSc in Finance and Investments, Durham University (2008) Bachelor’s in Electronics Engineering Research Interests: Dr Mandal’s interdisciplinary research lies at the intersection of mathematical modelling, artificial intelligence, finance, and digital innovation . His work focuses on AI-enabled investment strategies , blockchain for financial transparency , ESG performance measurement , and the development of the Sustainable Efficiency Index (SEI) . He also pioneers AI applications in digital education , including a patent-pending platform for automated grading of multi-modal student submissions using ensemble AI methods. Publication Trends: His recent scholarly output spans high-impact journals and conferences, reflecting a strong focus on digital finance , climate and social media analytics , cryptocurrency regulation , and AI in financial forecasting . His work combines advanced data science techniques with real-world policy and financial applications, particularly in sustainability and public health. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Dr Mandal has secured over £2 million in research funding from sources including UKRI, UoB QR Funding, and industry partners. While specific students are not listed, his role as programme director and research leader suggests active mentorship. His research has direct policy impact through collaborations with the NHS Trusts , NIHR , and the UK Government . Labs, Teams, and Impact: Dr Mandal leads a research agenda that bridges academia and public policy. His work extends beyond the university through public engagement at science festivals, outreach for young learners, and expert contributions to UK Parliamentary consultations on AI, sustainability, and financial innovation. He is a key figure in advancing digital finance education and research at the University of Birmingham.