جست‌وجوی استاد و پژوهشگر

• Asset Management
• Corporate Finance
• Banking
• +۵ مورد دیگر

Teodoro D. Cocca serves as Professor of Asset Management and Deputy Director of the Institute for Corporate Finance at Johannes Kepler University Linz, where he heads the Asset Management Department within the Business School. With a distinguished career spanning academia and financial institutions, he brings extensive expertise in asset management, corporate finance, and banking to his academic role. His professional journey includes significant leadership positions both within and outside academia, reflecting his standing as a respected figure in financial economics. Professor Cocca's research interests focus on asset management strategies, behavioral finance, banking systems, and the digital transformation of financial services. His work often explores the intersection of traditional financial theory with contemporary challenges such as AI applications in finance, sustainable investment practices, and global market dynamics. He has developed particular expertise in analyzing investor psychology and market behavior, frequently contributing insights on how cognitive biases impact financial decision-making. His recent publications (2023-2025) demonstrate a strong emphasis on current economic challenges, with recurring themes including monetary policy in a post-pandemic world, the integration of artificial intelligence in financial services, regional economic development (particularly in Upper Austria), and the geopolitical dimensions of international finance. His work bridges academic rigor with practical relevance, often addressing policy implications for financial institutions and regulatory bodies. Member of the Supervisory Board of Business Upper Austria - OÖ Wirtschaftsagentur GmbH (since 2022) Member of the Supervisory Board of Kepler-Fonds Kapitalanlagegesellschaft mbH (since 2021) Advisory Board of the Certificate Forum Austria (ZFA), Vienna (since 2010) Adjunct Professor, Swiss Finance Institute, Zurich, Switzerland (since 2007) Member of the Research Institute for Banking, Johannes Kepler University Linz (since 2006) Professor Cocca maintains an active engagement with both academic and professional communities through his leadership roles, regular media contributions, and participation in industry forums. His prior experience as Dean of the Faculty of Social and Economic Sciences at JKU Linz (2004-2006) and his extensive industry background, including board positions at VP Bank AG and Geneva Group International, provide him with a unique perspective that informs his academic work and advisory roles.

Mitchell Olsthoornمشاهده پروفایل

استادیار

• Network Security
• Search-based Software Engineering
• Pen-testing
• +۵ مورد دیگر

Mitchell Olsthoorn is an Assistant Professor in the Software Engineering Research Group (SERG) at Delft University of Technology. He is also a member of the Computational Intelligence for Software Engineering lab (CISELab) and the Delft Blockchain Lab (DBL). His academic career is built on a strong foundation from Delft University of Technology, where he earned all his degrees. Mitchell's research interests span a diverse range of topics including Network Security, Search-based Software Engineering, Pen-testing, Computational Intelligence, Software Testing, Security Testing, Fuzzing, and Blockchain. His work demonstrates a strong focus on applying computational intelligence techniques to solve complex software engineering problems, particularly in the areas of test case generation and security testing. His publication record shows a consistent research trajectory with a focus on developing innovative testing frameworks for various programming languages and blockchain technologies. His work bridges the gap between theoretical research and practical applications, with tools developed for JavaScript, Kotlin, and blockchain platforms. Cum laude distinction (top 5% in Netherlands) Mitchell actively contributes to the academic community through conference organization and program committee roles. His current position as Hot-off-the-Press Track Co-Chair for SSBSE 2025 demonstrates his growing recognition in the software engineering research community. He also serves on program committees for major conferences including ISSTA, ICST, and ASE. Mitchell maintains active research laboratories including the Computational Intelligence for Software Engineering lab (CISELab) and the Delft Blockchain Lab, where he continues to advance research in software testing and security.

Hamed Haddadiمشاهده پروفایل

استاد

• User-Centered Systems
• IoT
• Applied Machine Learning
• +۴ مورد دیگر

Professor Hamed Haddadi holds the position of Professor of Human-Centred Systems at the Department of Computing, Faculty of Engineering, Imperial College London. He is also an Imperial College Research Fellow and serves as Security Science Fellow at the Institute for Security Science and Technology. In industry, he acts as Chief Scientist at Brave. His research focuses on User-Centred Systems, IoT, Applied Machine Learning, Privacy, and Human-Data Interaction. He leads the Imperial-X initiative and holds an EPSRC Open Plus Fellowship (2022-2027). His work bridges academia and industry, addressing challenges in privacy-preserving technologies, edge computing, and secure AI systems. Affiliations include the Artificial Intelligence Network, Centre for Cryptocurrency Research and Engineering, Data Science Institute, Energy Futures Lab, and Institute for Security Science and Technology. He actively supervises PhD students through programs like the President’s PhD Scholarships and Islamic Development Bank scholarships. Recent research trends emphasize privacy-preserving AI, secure edge computing, federated learning, and IoT security. His publications span topics like differential privacy, adversarial ML defense, and energy-efficient neural networks. Notable awards include the EPSRC fellowship supporting his work on Human-Centred Systems. Grants include Imperial College Research Fellowships and collaborations with industry partners. He directs the NetSys group and contributes to interdisciplinary initiatives like the Energy Futures Lab. His work often involves collaborative projects with industrial partners such as Brave Software to advance real-world applications of secure technologies.

Spyros Makridakisمشاهده پروفایل

استاد پژوهشی

• Forecasting
• Artificial Intelligence
• Blockchain
• +۳ مورد دیگر

Spyros Makridakis holds the position of Research Professor (1970–2008) at INSEAD and is affiliated with the Department of Digital Innovation. His research focuses on forecasting methodologies, artificial intelligence, medical predictions, and blockchain technology. He earned his PhD in 1969, though the specific institution is not detailed in the provided texts. Key research interests include advancing forecasting techniques through competitions like the M Competitions, exploring applications of AI and machine learning, and addressing uncertainty in medical and financial decision-making. His work contributes to UN Sustainable Development Goals related to education and innovation. Notable contributions include organizing influential forecasting competitions (e.g., M4 and M5), analyzing the impact of large language models (LLMs) like ChatGPT, and investigating the integration of blockchain with AI. Over 130+ publications span journals like International Journal of Forecasting and PLoS ONE . Despite no explicit mention of awards, his high h-index (107) and 14,000+ citations reflect significant academic influence. Collaborations span global institutions, addressing topics from pandemic modeling to financial market dynamics. Advising/grants: No formal advisee list provided, but his work involves collaborative research networks. Lab/teams: Active in forecasting and AI research groups, though specific lab affiliations are not detailed.

Jennifer Farrellمشاهده پروفایل

استادیار

• Tax Law
• International Taxation
• Cross-Border Taxation
• +۴ مورد دیگر

Dr. Jennifer Farrell is an Assistant Professor at the Faculty of Law, Western University, and an Associate Research Fellow at the Tax Administration Research Centre (TARC) at the University of Exeter Business School. Her academic credentials include a PhD from Queen Mary, University of London, an LLM in Tax from King's College London, and an LLB. She was called to the Bar of Ontario. PhD, Queen Mary, University of London LLM in Tax, King's College London LLB Jennifer's research examines the intersection of tax laws and cross-border taxation with trade laws (e.g., WTO law, EU law) and emerging technologies like cryptocurrencies. She actively contributes to academic and professional communities through grants, publications, and committee work. Her awards include the prestigious International Fiscal Association's Mitchell B. Carroll Prize, awarded for her doctoral research, and recognition as one of the most influential women in tax over the last century by the IFA. She has secured research grants from organizations such as the Canadian Tax Foundation, CPA Ontario, and the Chartered Institute of Taxation (UK). Marie Skłodowska-Curie Fellowship in International Taxation Member, Young IFA Network Committee (Canada) Member, Permanent Scientific Committee (Canada) Jennifer teaches courses in Income Taxation, International Tax Law, and International Tax Policy, and was honored as 'Professor of the Year' by the Student Legal Society in 2017-18. Her work bridges legal scholarship with practical applications in taxation, trade, and technology.

Tom Van Cutsemمشاهده پروفایل

دانشیار

• Distributed Systems
• Software Security
• Blockchain
• +۵ مورد دیگر

Tom Van Cutsem is an Associate Professor of computer science at KU Leuven in Belgium, where he is affiliated with the Distributed and Secure Software (DistriNet) research group within the Faculty of Engineering Science and Department of Computer Science. He also maintains an affiliation with Nokia Bell Labs, where he previously served as a Research Department Head with research interests in decentralized systems, IoT, stream processing and machine learning for software engineering. His academic career includes a previous position as Assistant Professor at Vrije Universiteit Brussel from 2010 to 2014. Dr. Van Cutsem holds a PhD in Computer Science from Vrije Universiteit Brussel. His educational background has provided the foundation for his expertise in distributed systems, programming languages, and software security. His primary research interests span Distributed Systems , Software Security , Blockchain , and Programming Language Design . With the DistriNet research group, he pursues work on decentralized systems, IoT, stream processing, and machine learning for software engineering. His research focuses on making distributed systems more secure, reliable, and accessible, with particular attention to blockchain technology and Web3 infrastructure. He is a founding member of IFIP WG 2.16 on Programming Language Design. His recent publications demonstrate a strong focus on blockchain security and infrastructure, with numerous papers on Web3, smart contracts, and decentralized systems from 2023-2025. His work addresses critical challenges in blockchain validation, smart contract security, and Web3 infrastructure, reflecting his commitment to making decentralized systems more secure and accessible to low-resource participants. Several of his current projects focus on secure middleware for smart contracts and scalable infrastructure for self-sovereign applications. Dr. Van Cutsem supervises PhD students including Weihong Wang, with whom he has co-authored multiple recent publications. He is currently leading several research projects including SODISA (Scalable Software Development and Infrastructure for Self-sovereign Applications), Secure Sandboxing for WebAssembly-based Smart Contracts, and Programming languages for privacy-preserving and verifiable computing, with funding extending through 2028-2029. He leads research within the Distributed and Secure Software (DistriNet) group at KU Leuven, which focuses on creating secure and dependable distributed systems. His team works on cutting-edge challenges in blockchain infrastructure, smart contract security, and decentralized application development, with connections to both academic and industrial partners including Nokia Bell Labs.

Duc Voمشاهده پروفایل

مدرس ارشد

• Household Finance
• Gender Studies
• Financial Literacy
• +۷ مورد دیگر

Duc Vo serves as a Senior Lecturer in Finance within the Department of Accounting and Finance at the UWA Business School, The University of Western Australia. He joined the institution in November 2021 after a 15-year career in Australian public sectors, including roles at the Australian Energy Regulator and Western Australia's Economic Regulation Authority where he served as Head of the Research & Modelling Branch. PhD in Economics (The Economics of Measuring Fiscal Decentralisation), The University of Western Australia (2004-2008, awarded 2009) Master of Economic Studies in Financial Economics, University of Queensland (2002-2003, awarded 2003) Undergraduate Degree in Applied Finance, University of Economics Ho Chi Minh City (1993-1997, awarded 1997) Duc Vo's research spans household finance with gender-based analysis, financial literacy education, sustainable finance, and climate change economics. His work examines market volatility, spillover effects, and the dynamic networks of financial markets, with particular focus on energy economics. He applies these interests to real-world policy issues, having provided expert advice to the Ho Chi Minh City government on remittances and municipal bonds issuance. His recent publications demonstrate a strong trajectory in interdisciplinary finance research, connecting political economy with financial market analysis, behavioral finance with commodity markets, and sustainability with corporate governance. The articles reveal increasing focus on geopolitical risk transmission, ESG integration, and crisis response mechanisms in financial systems. Duc Vo teaches Business Analysis & Valuation, Financial Analysis for Decision Makers, and Funds Management courses. His work contributes to UN Sustainable Development Goals related to economic growth, reduced inequalities, and climate action. His research fingerprint shows significant contributions in price analysis, volatility studies, geopolitical risks, financial inclusion, and commodity derivatives markets.

• Network Security
• Decentralized Systems
• Privacy-Preserving Technologies
• +۷ مورد دیگر

Prof. Björn Scheuermann is a Professor in the Department of Computer Science at Technische Universität Kaiserslautern, Germany. His research focuses on network security, decentralized systems, privacy-preserving technologies, and distributed algorithms. He has contributed to foundational work on anonymization protocols (e.g., Tor improvements), blockchain systems, and vehicular networks. His work often bridges theoretical computer science with practical implementations in domains like satellite communication and industrial IoT. Key areas of research include: Decentralized Systems: Analysis of IPFS, Bitcoin, and blockchain architectures. Anonymity Networks: Improving Tor's fairness and privacy guarantees. Network Security: Collaborative intrusion detection in SDN, firewall acceleration via FPGA. Wireless & Satellite: Optimizing data transmission for low-earth-orbit satellites and industrial sensors. Recent trends in his publications emphasize: Integration of machine learning for adaptive network security (e.g., COML-IDS framework). Dynamic routing protocols for fault tolerance (e.g., OD³R). Privacy in emerging technologies like mobile data donation apps and decentralized storage. His work has been published in top-tier venues like IEEE/ACM Transactions, IFIP Networking, and ACM SIGCOMM workshops. Collaborations span academia and industry, focusing on practical applications of secure and efficient network architectures.

Ilia Kolochenkoمشاهده پروفایل

استاد مدعو

• Cybersecurity
• Cybercrime Investigation
• Cyber Law
• +۴ مورد دیگر

Dr. Ilia Kolochenko is an Adjunct Professor of Cybersecurity and Cyber Law at Capitol Technology University, where he serves as a Dissertation Chair for doctoral students. He is also the CEO and Chief Architect of ImmuniWeb, a global cybersecurity firm, and a Partner and Cybersecurity Practice Lead at Platt Law LLP in Washington, D.C. His roles include advising on privacy law, data breaches, and cybercrime investigations. Kolochenko holds a PhD in Computer Science from Capitol Tech, alongside four master’s degrees in cybersecurity, criminal justice, IT law, and national security law. He pursues a second doctorate in Forensic Sciences at Oklahoma State University. Educations: BS in Computer Science (Webster University), MLS (Washington University), MSc in Cybersecurity/Cybercrime (Boston University), two LLMs (Edinburgh and George Mason), and a PhD (Capitol Tech). Current DFS (Oklahoma State). Research interests focus on AI-driven cybersecurity solutions, incident response, cyber law compliance, and cryptocurrency crime investigations. He has authored over 60 articles for CSO Online, Dark Reading, SC Media, and Forbes, emphasizing practical applications of AI and legal frameworks. His 2025 Globee Award recognizes his thought leadership in cybersecurity. Awards include the 2025 Cybersecurity Thought Leadership Globee, 2024 Outstanding Cyber Security Professional (OSPAs), and 2017 SC Media Thought Leadership Award. He chairs the ABA’s Information Security Committee and participates in Europol’s EDEN and INTERPOL’s DFEG. Grants and advisory roles include: GIAC Advisory Board, SANS CISO Network, IAPP Appeals Board, and Boston University’s CIC Center. ImmuniWeb’s AI platform won Frost & Sullivan’s European pentesting award in 2014. He teaches “Cybersecurity for Lawyers” CLE courses through the D.C. Bar. Labs/Teams: Leads ImmuniWeb’s R&D team developing AI-based security tools and collaborates with academic institutions like Boston University’s Cybercrime Investigation Center.

Daniel Rabettiمشاهده پروفایل

استادیار

• Financial Economics
• Blockchain
• Decentralized Finance (DeFi)
• +۵ مورد دیگر

Dr. Daniel Rabetti is an Assistant Professor of Accounting and Finance at the National University of Singapore (NUS) Business School, holding the S. Dhanabalan Chair in Quantitative Studies since 2023. He concurrently serves as a visiting scholar at Harvard Business School and holds courtesy appointments in Finance at NUS. His research focuses on financial economics, blockchain innovation, and regulatory challenges in decentralized finance (DeFi), with particular emphasis on cryptocurrency markets, tax policy, and cybercrime prevention. Rabetti advises fintech ventures and contributes to policy discussions through engagements with institutions like the IMF and SEC. Education: Ph.D. in Business (Tel Aviv University, 2023); M.A. in Financial Economics (Interdisciplinary Center Herzliya, 2017); B.A. in Business Administration-Finance (Interdisciplinary Center Herzliya, 2014). Research Interests: Rabetti explores blockchain's transformative impact on financial systems, including DeFi protocols, crypto-enabled cybercrimes, and tax compliance strategies. His work bridges academic rigor with practical policy implications, addressing issues like audit quality in decentralized systems and regulatory frameworks for digital assets. Key Contributions: His paper on crypto-enabled cybercrimes was awarded the Best Conference Paper and featured in major media outlets. He has presented at prestigious venues like the Western Finance Association and the Securities and Exchange Commission. His research informs global regulatory bodies and underpins tax policy recommendations for digital asset taxation. Awards: Recognized for impactful scholarship in fintech and blockchain governance. Advising & Grants: Rabetti advises fintech startups and leads research initiatives at NUS Fintech Lab and the Asian Institute of Digital Finance (AIDF). His work is supported by grants from Ripple UBRI, Israel Science Foundation, and Cornell FinTech Initiative. Labs & Teams: Active in DEFT Labs, Cornell Fintech Initiative, and the Nanyang Blockchain Conference organizing committee.

• National Security
• Urban Resilience
• Environmental Security
• +۳ مورد دیگر

Jelena Dinić is a researcher at Singidunum University, specializing in national security, urban resilience, and environmental policy. She holds a PhD in Security Studies from the Faculty of Security, University of Belgrade (2024), following a Master's in Criminalistics (2011) and a Bachelor's in International Relations (2007). Her work bridges legal frameworks, technological innovation, and socio-environmental dynamics to address global security challenges. Education: Bachelor's in International Relations, Faculty of Political Sciences, University of Belgrade (2007) Master's in Criminalistics, Criminal-Police Academy (2011) PhD in Security Studies, Faculty of Security, University of Belgrade (2024) Research interests focus on urban disaster resilience, AI applications in crisis management, environmental security, and counter-terrorism financing. Recent work emphasizes Serbia's national interests in neutrality policies and integrating AI into urban resilience strategies. She has contributed to collaborative projects like the "Guide for Peace and Security" (2024) and authored books on anti-money laundering systems. Her publications explore legal frameworks for hazard mitigation, wildfire resilience in Novi Pazar, and socio-cultural memory in urban governance. Her 2022 paper on local governance during crises highlights institutional adaptation to uncertainty. No scientific awards are listed, though her work is widely cited in Balkan security studies. She participates in multi-university initiatives, including Singidunum's postgraduate programs and the Hellenic Republic's climate risk studies. She maintains active collaborations with Belgrade University's Technical Faculty and Greek environmental organizations.

Waqar Asadمشاهده پروفایل

دانشیار

• Stochastic Optimization
• Mine Planning
• Sustainable Mining Practices
• +۶ مورد دیگر

Associate Professor Waqar Asad holds a leadership role as Deputy Head of School (Mining Engineering) at Curtin University's WA School of Mines. He has over 26 years of experience in academia and industry, specializing in stochastic optimization of mineral supply chains and sustainable mining practices. He earned his PhD and MSc from the Colorado School of Mines and BSc from the University of Engineering and Technology, Peshawar. His research focuses on mathematical models for optimizing open-pit mine operations, including cut-off grade policies, production scheduling, and waste management. He has secured over $1M in research grants and published extensively in top-tier journals like European Journal of Operational Research and Resources Policy . Notable contributions include stochastic pit design models and waste encapsulation strategies. Teaching areas include mine planning, mining systems, and open-pit design. He has held leadership roles such as Head of Discipline (2014-2017) and Discipline Lead (2021-2023). His work is recognized internationally, including ranking in the top 2% of global mining scientists.

Manlu Liuمشاهده پروفایل

استاد

• AI and Business Intelligence
• Big Data
• Accounting and Finance Analytics
• +۳ مورد دیگر

Manlu Liu is a Professor in the Department of MIS, Marketing, and Analytics at the Rochester Institute of Technology (RIT) 's Saunders College of Business , where she serves as Program Director for the MS in Business Analytics. She holds a Ph.D. in Management Information Systems from the University of Arizona and an MBA in Accounting and Finance from the Hong Kong University of Science & Technology. Specializes in AI/Business Intelligence, Blockchain Technology, and Accounting Analytics Co-initiator of RIT's Advanced Certificate in Accounting and Financial Analytics Represents RIT on the university-wide AI Task Force Her research spans community source software development, sustainability reporting, and health informatics. Publications appear in Accounting, Organizations and Society , Journal of Strategic Information Systems , and Information Systems Journal . She has served on editorial boards for Electronic Commerce Research and International Journal of Electronic Finance . Recent work focuses on blockchain applications in accounting, AI-generated NFT markets, and sustainability dynamics in auditing. She has held leadership roles in international conferences including ICIS and SIGBPS , and co-chaired the Workshop on E-Business (WeB) 2024 .

Bryan Routledgeمشاهده پروفایل

دانشیار

• Finance
• Artificial Intelligence
• Blockchain Technology
• +۷ مورد دیگر

Bryan Routledge is an Associate Professor of Finance at Carnegie Mellon University's Tepper School of Business. He holds a Ph.D. from the University of British Columbia (1996) and a Bachelor of Commerce from Queen's University (1987). His academic affiliations include CyLab Security and Privacy Institute where he researches blockchain and cryptocurrency economics. Research interests span quantitative finance with AI/NLP applications, including: Text analysis of financial disclosures and social media Cryptocurrency markets and blockchain systems Asset pricing dynamics and macroeconomic forecasting Behavioral finance and investor decision-making Energy economics and climate finance applications Recent publications demonstrate strong interdisciplinary focus, with 62% applying NLP/AI to finance (2021-2023), 25% analyzing blockchain/crypto systems, and 13% examining behavioral asset pricing. Research consistently bridges computational methods with market analysis. Teaching includes MBA core finance, Financial Economics (MSCF), and specialized courses like 'Alpha: Implementing Quantitative Strategies' and 'Fintech'. Actively involved in Tepper's Executive Education programs. Holds leadership roles as Secretary/Treasurer of the Western Finance Association and Co-Chair of Tepper Quad Working Group. Research featured in national media regarding cryptocurrency regulation challenges.

Stephen P. Boydمشاهده پروفایل

استاد

• Convex Optimization
• Control Theory
• Mathematical Optimization
• +۵ مورد دیگر

Stephen P. Boyd is the Samsung Professor in the School of Engineering and Professor in the Department of Electrical Engineering at Stanford University. He is also a Member of the Institute for Computational and Mathematical Engineering. His office is located in Packard 254 at 350 Jane Stanford Way, Stanford, CA 94305. Professor Boyd's research spans multiple domains where mathematical optimization serves as the unifying framework. His work focuses on convex optimization theory, algorithms, and applications across diverse fields including control systems, signal processing, machine learning, finance, and circuit design. He has pioneered methods for real-time embedded convex optimization and developed software frameworks that have made optimization accessible to researchers and practitioners across disciplines. His recent publications demonstrate a consistent trend toward practical applications of convex optimization, with significant emphasis on financial engineering (portfolio optimization, tax-efficient strategies), machine learning integration (differentiable optimization, parametric models), and computational efficiency (GPU acceleration, code generation). The breadth of co-authors across different papers highlights his collaborative approach spanning electrical engineering, computer science, finance, and applied mathematics. Professor Boyd teaches several optimization-related courses including ENGR108 (Introduction to Applied Linear Algebra), EE364a (Convex Optimization I), and EE364b (Convex Optimization II), maintaining an active teaching schedule with courses planned through the 2025-26 academic year. His office hours are held on Tuesdays from 1:15pm-2:30pm in Packard 254.