جستجوی استاد راهنمای دانشگاهی

Luis Garicanoمشاهده پروفایل

استاد

• Digital Productivity
• EU Policy
• Financial Governance
• +۴ مورد دیگر

Luis Garicano is a Full Professor of Public Policy at the London School of Economics and Political Science (LSE) School of Public Policy. He holds a PhD in Economics from the University of Chicago and has held academic positions at institutions including the University of Chicago Booth School of Business and IE Business School. His research focuses on organizational economics, digital productivity, and EU policy, with contributions to understanding the impact of technology and institutions on economic growth. Education: BSc in Economics and Law (Universidad de Valladolid), MSc in European Economic Studies (College of Europe), and a PhD in Economics (University of Chicago). Garicano also served as a Member of the European Parliament (2019–2022), where he contributed to legislation on economic recovery funds and sanctions against Russia. Research Interests: His work explores organizational design, the effects of digital technologies, and institutional reforms to prevent economic crises in the Eurozone. He has published in top journals like the Quarterly Journal of Economics and Journal of Political Economy . Key Contributions: Co-developed the ESBies proposal for Eurozone financial stability, authored books on crisis management, and leads the Silicon Continent blog analyzing EU competitiveness challenges. His recent work addresses banking union failures and the geopolitical economic impacts of the Ukraine war.

Dmitrij Slepniovمشاهده پروفایل

دانشیار

• Global Operations Management
• International Business Strategy
• Innovation Management
• +۳ مورد دیگر

Associate Professor Dmitrij Slepniov is affiliated with the Aalborg University Business School under the Faculty of Humanities and Social Sciences. He holds leadership roles in initiatives like the Sino-Danish Center’s Innovation Management Program and the AI for the People research group. His academic background includes a PhD in Business and Management (2010) from Aalborg University and an MSc in Business and Management from the London School of Economics (2005). His research focuses on global operations management, innovation ecosystems, and cross-border business strategies. Notable projects include studying the green transition in the Port of Aalborg, servitization in manufacturing, and R&D strategies in multinational corporations. He has led over 16 projects, including the 'Green Nexus' initiative assessing port sustainability and 'Value Chain Innovation' exploring Danish-Chinese collaboration. Publications span topics like virtual internationalization of mobile apps, co-creation in automotive acquisitions, and digital servitization. His work bridges strategic management, institutional theory, and global value chain dynamics. He frequently engages with industry partners like Novo Nordisk and Samsung, emphasizing practical applications of academic research. Key contributions include frameworks for strategic R&D management in fragmented markets and conceptualizations of value co-creation in digital ecosystems. His teaching and research emphasize multicultural innovation education and the interplay between global business systems and local contexts.

Marina Echebarría Sáenzمشاهده پروفایل

استاد

• Commercial Law
• Technology Law
• Blockchain
• +۴ مورد دیگر

Marina Echebarría Sáenz is a full professor of Commercial Law at the University of Valladolid, where she has held roles such as vice-dean and director of the Commercial Law Department. She contributes to the university’s Equality Unit and specializes in research areas including commercial distribution, blockchain applications, cryptocurrency payments, and challenges in digital marketplaces like Amazon. Earning her PhD in 1995 from the University of Valladolid with a thesis on franchise contracts, she bridges legal scholarship with technological innovation. Her activism spans over two decades, advocating for transgender rights and LGBTI equality. She chairs Spain’s first national LGBTI Participation Council and previously served as vice-president of the Triángulo Foundation. She played a pivotal role in drafting Spain’s 2007 law on sex registry changes and regional trans legislation. As the first trans woman to hold a university chair in Spain, she highlights systemic gender disparities in academia and public policy. Her advocacy emphasizes depathologizing transgender identities and advancing equal rights across healthcare, employment, and legal recognition.

Andrea Visentinمشاهده پروفایل

مدرس

• Optimization
• Artificial Intelligence
• Stochastic Systems
• +۲ مورد دیگر

Dr. Andrea Visentin is a Lecturer and PhD Programme Director at University College Cork's School of Computer Science & IT. He is a Funded Investigator at the SFI Insight Centre for Data Analytics and Principal Investigator for the DATAMITE Horizon Europe project. His academic background includes: BSc and MSc in Computer Engineering (University of Padua) PhD from Insight Centre for Data Analytics (UCC) He maintains affiliations with Tyndall National Institute and the TAILOR research network. Visentin's research integrates: optimization and artificial intelligence across domains: Stochastic inventory control and lot sizing Time series forecasting applications Biomedical optics and spectroscopy Trustworthy AI development His work demonstrates strong interdisciplinary collaboration with healthcare and energy sectors. Recent publications highlight diverse applications: Electricity market forecasting methods Medical spectroscopy for tissue differentiation AI-driven occupational safety systems Road infrastructure monitoring solutions Historical document analysis techniques This breadth reflects his commitment to impactful real-world applications. Visentin contributes significantly to AI ethics frameworks: Co-developed Assessment List for Trustworthy AI (ALTAI) for EU High-Level Expert Group Contributed to TAILOR Handbook of Trustworthy AI His work helps make AI concepts accessible to non-technical audiences. Honored with the UCC President's Award for Excellence in Teaching (2023/24) for his innovative pedagogy in Data Analytics, Data Mining, and Digital Humanities courses.

• Decentralized Online Social Networks
• Blockchain Technology
• NFTs and the Metaverse
• +۳ مورد دیگر

Barbara Guidi is an Associate Professor at the Department of Computer Science, University of Pisa. Her research focuses on Decentralized Online Social Networks, Blockchain Technology, NFTs, and the Metaverse. She is a founding member of IEEE METASIG (IEEE SIG on Metaverse) and collaborates with the IEEE Social Networks Technical Committee. Dr. Guidi has led projects like HELIOS under the H2020 initiative and serves on editorial boards for journals such as Plos One and IEEE Access. Her work explores blockchain applications in social media, economic dynamics in decentralized platforms, and bot detection in Web3 environments. Education: She studied at the Department of Computer Science, University of Pisa. Research interests include peer-to-peer networks, decentralized storage, and social network analysis. She has advised students on topics like Blockchain Technology applied to Social Media and NFT/Metaverse integration. Key contributions include frameworks like AWESOME for Web3 social media analysis and studies on Axie Infinity's economic models. She actively participates in workshops like OASIS, addressing challenges in online social networks. Her work emphasizes ethical blockchain applications and decentralized systems for social good. Labs/Teams: She contributes to the IEEE METASIG community and collaborates with institutions like the University of Bicocca - Milan on text-mining in decentralized social media.

Krishna Narayananمشاهده پروفایل

استاد

• Wireless Communications
• Large Language Models
• Information Theory
• +۳ مورد دیگر

Dr. Krishna Narayanan is Professor and Edgar and Yolanda Sanchez Endowed Chair in Electrical & Computer Engineering at Texas A&M University. He directs research in AI-native wireless communications, large language models for communication systems, and massive multiple access networks. His research integrates information theory with deep learning to develop novel communication paradigms. Current work focuses on Transformers for wireless estimation, LLM-based text compression, and efficient coding for massive IoT connectivity. Narayanan bridges theoretical foundations with practical implementations across wireless, storage, and computing domains. Publications demonstrate consistent innovation in coding theory applications, from compressed sensing for massive access to analog joint source-channel coding. Recent work explores LLM-powered text compression and Transformers for optimal wireless estimation, establishing new intersections between deep learning and communication theory. Honors include IEEE Communications/Information Theory Societies Best Paper Award (2022) and university-level teaching awards. Narayanan serves as Associate Director for Educational Initiatives at Texas A&M Institute for Data Science, developing curriculum integrating communication theory with AI methodologies.

Ellie Rennieمشاهده پروفایل

استاد

• Blockchain Governance
• Digital Inclusion
• Indigenous Knowledge Systems
• +۶ مورد دیگر

Professor Ellie Rennie is a Professor in the School of Media & Communication at RMIT University. She holds positions as an ARC Future Fellow and Principal Research Fellow, affiliated with RMIT's Blockchain Innovation Hub and the Digital Ethnography Research Centre. She is also an Associate Investigator at the ARC Centre of Excellence for Automated Decision-Making and Society, and Research Director at Metagov. Her research focuses on blockchain governance, digital inclusion in Indigenous communities, and ethnographic methods applied to decentralized systems. Key areas include validator governance, climate action through blockchain (ReFi), and Indigenous knowledge systems' integration with distributed technologies. She contributed to the Australian Digital Inclusion Index and serves on the First Nations Digital Inclusion Advisory Group. Selected publications include analyses of blockchain's environmental impact, validator participation, and participatory ethnography in governance. Awards include the prestigious ARC Future Fellowship. Supervision interests span Web3 socio-economic strategies, decentralized governance, and digital inclusion in creative industries. Affiliated research centers include the Platform Economies Research Network and Blockchain Innovation Hub.

Andrew Papanicolaouمشاهده پروفایل

دانشیار

• Computational Finance
• Stochastic Systems
• Optimization and Control
• +۴ مورد دیگر

Andrew Papanicolaou is an Associate Professor in the Department of Mathematics at North Carolina State University (NC State), within the College of Sciences. His research focuses on computational finance, stochastic systems for control and optimization, and financial data analysis. He holds a PhD in Applied Mathematics from Brown University, an MS in Financial Mathematics from the University of Southern California, and a BS in Mathematical Sciences from the University of California, Santa Barbara. His expertise includes non-Markovian and high-dimensional optimization problems, machine learning applications, and nonlinear filtering. He has secured grants such as 'Deep Neural Networks for Solving Non-Markov Optimization Problems,' addressing complex computational challenges in finance. His work bridges theoretical stochastic analysis with practical financial applications, including algorithmic trading strategies and volatility modeling. Key research trends in his publications include the use of deep learning for portfolio optimization, stochastic control in market dynamics, and analysis of VIX and SPX derivatives. He explores topics like impermanent loss in decentralized finance and optimal execution of large stock orders. His grants and projects highlight innovation in applying advanced mathematical tools to real-world financial systems. While no scientific awards are listed, his contributions to computational finance and stochastic systems have been disseminated through peer-reviewed articles. He advises on grants related to neural network algorithms and maintains active research collaborations in financial mathematics.

Yuanzhu Zhanمشاهده پروفایل

دانشیار

• Operations Management
• Supply Chain Management
• Big Data and Analytics
• +۷ مورد دیگر

Yuanzhu Zhan is an Associate Professor in Operations and Supply Chain Management at the University of Birmingham's Birmingham Business School, holding the Department of Management's PGR Lead role. Previously, he served as Programme Director for the BSc Business Management (PT) program in Singapore (2021/22). He holds a PhD and MSc from the University of Nottingham, specializing in Risk Management and Business Management. His research focuses on emerging technologies' impacts on operations, innovation, and sustainability, with notable contributions to blockchain governance, AI-driven supply chains, and circular economy frameworks. He co-edits special issues on 'Blockchain in Operations' (International Journal of Production Economics) and 'Generative AI in Digital Platforms' (IEEE Transactions on Engineering Management). Editorial Roles: Associate Editor of Journal of Operations Management, Department Editor of IEEE TEM, Board Member of IJOPM/IJPE/IMDS Awards: 2024 Best Reviewer (JOM), 2022 Emerald Award (IMDS), 2018 Early Career Award (ULMS) Funding: Secured grants from British Academy/Leverhulme Trust, NSFC, and MSI Key Projects: Blockchain-enabled social media platforms, AI in healthcare logistics, electric vehicles for net-zero Zhan's teaching expertise spans Operations Management and Business Analytics at both undergraduate and postgraduate levels. He is a certified expert in Big Data Analytics and actively supervises PhD candidates in technology-driven innovation and sustainable supply chains.

Iulia Cioroianuمشاهده پروفایل

مدرس ارشد

• Political Communication
• Computational Social Science
• Digital Health Technologies
• +۳ مورد دیگر

Dr. Iulia Cioroianu is a Senior Lecturer in the Department of Politics, Languages, and International Studies at the University of Bath and a faculty member of the Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI). She holds a Ph.D. in Political Science from New York University and an M.A. from Central European University. Her research focuses on computational methods applied to online political communication, including natural language processing, machine learning, and agent-based modeling. She has expertise in cryptocurrency markets, digital health technologies, and election dynamics. Currently leading projects on AI policy, social media sentiment analysis, and diabetic foot ulcer care, she has collaborated with institutions like the British Academy and the Economic and Social Research Council. Her work contributes to UN Sustainable Development Goals related to education and innovation. Previous roles include Prize Fellow at the University of Bath’s Institute for Policy Research (2018) and research positions at the University of Exeter and LSE. Teaching includes courses on research design in R, Python, and Stata. She advises doctoral students in sociotechnical futures, digital methods, and AI ethics. Research highlights include analyzing social media homophily among political candidates, cryptocurrency volatility linked to central bank digital currencies, and digital health interventions for chronic diseases. Key projects include developing AI tools for policy analysis and evaluating voting advice applications’ impact on electoral turnout.

Grzegorz Dudekمشاهده پروفایل

دانشیار

• Machine Learning
• Artificial Intelligence
• Evolutionary Algorithms
• +۴ مورد دیگر

Grzegorz Dudek is an Associate Professor at the Department of Electrical Engineering, Częstochowa University of Technology (CUT), Poland. He holds a PhD in Electrical Engineering (CUT, 2003) and a Habilitation in Computer Science (Lodz University of Technology, 2013). His research focuses on machine learning, artificial intelligence, and their applications in classification, regression, forecasting, and optimization problems. Education: PhD in Electrical Engineering, Częstochowa University of Technology, 2003 Habilitation in Computer Science, Lodz University of Technology, 2013 Research interests include: Machine Learning and AI applications Evolutionary algorithms Data mining and pattern recognition Forecasting in energy systems and cryptocurrency markets Recent work emphasizes advancements in forecasting techniques, meta-learning, and novel neural network architectures like the Hierarchical Kolmogorov-Arnold Network (HKAN). His contributions span energy systems, financial markets, and computational intelligence. Awards: Achieved 3rd place in the Global Energy Forecasting Competition 2014 (price forecasting track). Advising/Grants: While specific student names or grant details are not listed here, his extensive publication and book authorship indicate active research leadership. Collaborations include co-authors like Dariusz Baczyński, Paweł Pełka, and Tomasz Rodak.

Brendan Saltaformaggioمشاهده پروفایل

دانشیار

• Computer Systems Security
• Cyber Forensics
• Threat Intelligence
• +۳ مورد دیگر

Brendan Saltaformaggio is an Associate Professor in the School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering at the Georgia Institute of Technology, with a courtesy appointment in the School of Computer Science. He leads the Cyber Forensics Innovation (CyFI) Lab, focusing on advanced cybercrime investigation and malware analysis in mobile/IoT environments. His research spans computer systems security, cyber forensics, and untrusted software vetting. He has received funding from the ONR, DARPA, and NSF, among others. His work has been recognized with awards such as the ACM SIGSAC Doctoral Dissertation Award and Best Paper distinctions at top security conferences. Saltaformaggio earned his B.S. in Computer Science from the University of New Orleans (2012), and his M.S. and Ph.D. from Purdue University (2014, 2016). His research has led to impactful contributions, including the removal of malicious software packages from platforms like PyPI and the collaboration with the FBI on smart contract fraud investigations. Key achievements include developing frameworks like DSCRETE (Best Student Paper at USENIX Security 2014) and GUITAR (Best Paper at CCS 2015). His recent publications address topics such as botnet remediation, AI-driven forensic analysis, and cryptocurrency fraud detection. He actively contributes to the security community through conference tutorials and media outreach, with his work featured in outlets like IEEE GlobalSpec, TechRadar, and Communications of the ACM.

Qianru Qiمشاهده پروفایل

دانشیار

• Financial Technology
• Artificial Intelligence Applications
• Risk Management
• +۴ مورد دیگر

Qianru (Cheryl) Qi is an Associate Professor of Finance at the Telfer School of Business, University of Ottawa. She holds a PhD in Financial Economics from Purdue University, an MS in Applied Mathematics from the University of Kaiserslautern, and a BS in Management Science from Beijing Normal University. Prior to her current role, she has taught and conducted research at NYU’s Stern School of Business, Duke University’s Pratt School of Engineering, and Fudan University. She has also served as a consultant for Morgan Stanley and Citigroup. Her research focuses on financial technology (FinTech), AI-driven decision-making, risk management, and regulatory compliance. She examines how technology addresses inefficiencies in banking, healthcare, and education sectors. Notable areas include synthetic data solutions for labor market equality, detecting criminal activity in decentralized finance, and AI-assisted experiential learning for skill development. Recent publications analyze merger waves using supply network data, generative AI’s labor impact, cryptocurrency market dynamics, and CEO succession planning’s shareholder value implications. Her work has been funded by SSHRC, NSF, and Chinese National Science Foundation grants totaling over $300,000 since 2018, including projects on cybersecurity in the private sector, FinTech case studies, and portfolio management education. Qi leads research initiatives such as the MITACS-funded Private NLP for enterprise data and the SSHRC-backed Synthetic Data Solutions for Labor Market Equality. Her pedagogical contributions include the FinTech Explorer courseware funded by the University of Ottawa Library.

• Coding Theory
• Discrete Mathematics
• Blockchains
• +۵ مورد دیگر

Dr. Son Hoang Dau is a Senior Lecturer in Computer Science at the School of Computing Technologies, RMIT University, Australia. His research focuses on coding theory, discrete mathematics, blockchains, and their applications in secure distributed systems and quantum computing. He actively supervises PhD and Master’s students in areas like fraud detection on blockchain networks and quantum annealing for satellite communication optimization. Research Interests: - Coding Theory & Error-Correcting Codes - Blockchain Security & Decentralized Systems - Quantum Computing & Optimization - Privacy-Preserving Algorithms - Distributed Storage Systems Dr. Dau's recent work includes groundbreaking studies on blockchain fraud detection, secure erasure coding in distributed storage, and quantum annealing for satellite beam placement. His contributions bridge theoretical computer science with practical applications in cybersecurity and telecommunications. Supervision Projects: - Machine Learning methods for Fraud Detection on Blockchain networks - Efficient Repair of Reed-Solomon Codes - Robust Computer vision for surveillance and threat detection Collaboration Network: Engages with global researchers in cryptography, distributed systems, and quantum computing through publications in top venues like IEEE Transactions and ACM Conferences.

• Predictive Analytics
• Social Media Analysis
• Healthcare Informatics
• +۵ مورد دیگر

Enrique Caño Marín is an Associate Professor at the Department of Computer Science at Universidad de Alcalá, Spain. His research focuses on predictive analytics, social media analysis, and their applications in healthcare, entrepreneurship, and digital transformation. He holds a doctorate from Universidad de Alcalá, completing his thesis on applying predictive analytics to public data and social media in healthcare (2023), supervised by Dr. Marçal Mora Cantallops and Dr. Salvador Sánchez Alonso. His recent work explores topics such as blockchain in industry funding, generative AI in business transformation, and the role of Twitter in fake news detection. He has published extensively on digital health innovation, pandemic logistics, and women's entrepreneurship in family businesses. Despite no explicit mention of awards, his publications demonstrate strong contributions to interdisciplinary research at the intersection of technology and societal challenges. Research themes consistently emphasize leveraging data science for real-world impact, with a particular focus on social media's role in healthcare, entrepreneurship, and global policy analysis. His work often combines graph analytics, text mining, and machine learning methodologies to address complex problems in digital ecosystems. Enrique collaborates with institutions on projects involving predictive modeling, competitive intelligence, and the ethical implications of AI systems. His email is enrique.canom@uah.es for academic inquiries.