جستجوی استاد راهنمای دانشگاهی

Todd Griffithمشاهده پروفایل

دانشیار

• Empirical Market Microstructure
• Asset Pricing
• Banking
• +۳ مورد دیگر

Dr. Todd Griffith serves as Associate Professor of Finance and Graduate Program Director for the Master of Financial Economics (MFE) at Utah State University's Jon M. Huntsman School of Business, Department of Economics and Finance. He directs both the MFE program and Financial Planning and Advising Programs, teaching graduate courses in financial economics and undergraduate finance courses. His educational background includes: PhD in Finance, University of Mississippi (2017) MS in Financial Economics, Utah State University (2012) BS in Economics, Utah State University (2011) Dr. Griffith's research centers on empirical market microstructure, asset pricing, and banking , examining how market structure, regulatory changes, and real-world events impact price formation and liquidity. His work spans traditional finance domains and emerging areas like cryptocurrency, with publications in top journals including the Review of Financial Studies and Journal of Banking and Finance . He has authored 34 peer-reviewed publications analyzing phenomena from oil spill impacts to pandemic-induced market stress. Recent publications reveal a strong focus on event-driven market reactions (airline disasters, oil spills, pandemics) and regulatory interventions (cryptocurrency policies, settlement cycles), demonstrating adaptability to evolving financial landscapes. His research consistently bridges theoretical finance with practical market implications. His accolades include: Outstanding Graduate Mentor of the Year (2023) Teacher of the Year (2022) Faculty Researcher of the Year (2021) As MFE Graduate Director since 2020, he has grown enrollment to 20 students per cohort with 100% placement at firms like BlackRock and Goldman Sachs. His Financial Planning program prepares students for the CFP exam through industry partnerships. With practical experience across sales (Security Networks), retail banking (Wells Fargo), insurance (Farmers Insurance), and investment banking (Royal Bank of Scotland), he integrates real-world insights into curriculum development and student mentorship. Dr. Griffith leads program structures within the Department of Economics and Finance, connecting students to national financial professionals through undergraduate clubs while maintaining active research and teaching in core finance domains.

• Technological Forecasting
• Economic Forecasting
• Entrepreneurship Evolution
• +۵ مورد دیگر

Dr. George Atsalakis is an Assistant Professor in Technological Forecasting at the School of Production Engineering and Management, Technical University of Crete. He holds a PhD in Stock Market Forecasting from the same institution (2006) and an MSc (2000) from Technical University of Crete, alongside a Diploma in Business Administration from the Economical University of Athens. His research focuses on forecasting methodologies applied to economic markets, technological trends, entrepreneurship evolution, and innovative societies using neuro-fuzzy systems, neural networks, and fuzzy logic models. Dr. Atsalakis has authored 2 books and over 90 peer-reviewed publications. His work emphasizes practical forecasting applications in diverse domains including stock markets, commodity prices, tourism demand, and environmental policy analysis. He leads the Data Analysis and Forecasting Laboratory at the university and has organized international conferences and training programs in computational intelligence. His research demonstrates a consistent focus on hybrid intelligent systems, particularly neuro-fuzzy approaches, applied to complex socio-economic systems. Notable contributions include forecasting models for shipping indices, cryptocurrency trends, agricultural commodity prices, and energy market dynamics. He has advised on policy-related forecasting for issues like carbon pricing mechanisms and post-crisis economic recovery strategies. Dr. Atsalakis maintains active roles as a journal referee and conference organizer, contributing to the advancement of computational methods in forecasting. His interdisciplinary approach bridges engineering management with socio-economic analysis, addressing challenges in technological adoption, market volatility, and sustainable development strategies.

Robert H Dengمشاهده پروفایل

استاد

• Applied cryptography
• Data security and privacy
• Mobile and wireless security
• +۵ مورد دیگر

Professor Robert H. Deng is a distinguished academic and researcher at Singapore Management University's School of Computing and Information Systems, where he serves as Professor of Computer Science and Deputy Dean for Faculty & Research. With a PhD from Illinois Institute of Technology (1985), he has established himself as a leading authority in cybersecurity, data privacy, and applied cryptography. His research interests span applied cryptography, data security and privacy, mobile and wireless network security, trusted computing, and system security. Professor Deng has published extensively in top-tier security venues, with over 600 publications listed in DBLP. His work bridges theoretical foundations with practical applications, particularly in the domains of IoT security, blockchain systems, and privacy-preserving technologies. Professor Deng has received numerous prestigious awards, including the National Day Award (Public Administration Medal Silver) in 2020, the AXA Chair Professor of Cybersecurity (2017-2025), and the Lee Kuan Yew Fellow for Research Excellence at SMU in 2006. His recent publications demonstrate continued leadership in emerging areas like post-quantum cryptography, federated learning security, and hardware-assisted security systems. His research group has produced significant work on secure authentication protocols, privacy-preserving data analytics, and robust cryptographic systems for real-world applications. National Day Award, Public Administration Medal (Silver), 2020 AXA Chair Professor of Cybersecurity, AXA Research Fund, 2017-2025 Distinguished & Best Paper Awards at NDSS, ESORICS, IEEE ICPADS, etc. Asia-Pacific Information Security Leadership Achievements (ISLA), 2010 Lee Kuan Yew Fellow for Research Excellence, SMU, 2006 University Outstanding Researcher, National University of Singapore, 1999 As a research advisor, Professor Deng has mentored numerous students including SUN Bing. His active participation in the research community is evidenced by recent keynotes at major conferences including DSPP 2024 on post-quantum cryptography and ASIACCS 2024 on client-side encryption. His research group maintains strong industry connections and receives significant funding for cutting-edge security research.

Olamide Jogunolaمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Blockchain Technology
• Peer-to-Peer Energy Trading
• +۲ مورد دیگر

Dr. Olamide Jogunola is a Senior Lecturer in Cyber Security in the Department of Computing and Mathematics at Manchester Metropolitan University. She holds a B.Eng. in Electrical Engineering from University of Ilorin, M.Sc. in Networking and Data Communication from Kingston University, and Ph.D. in Electrical Engineering from Manchester Metropolitan University. Her research focuses on cybersecurity for distributed critical infrastructures like smart grids. Research Focus: Investigates blockchain and AI applications for privacy and uncertainty modeling in distributed systems. Current projects examine secure smart contracts, federated learning for intrusion detection, and cyber resilience in IoT-enabled infrastructures. Grant Leadership: Principal Investigator for multiple projects including the £228K 'AI-enabled smart EV charging infrastructure' (Innovate UK/KTP) and £5K EPSRC/SuperGen Network project. Secured over £500K in research funding across 8 projects including EU Horizon 2020 and DFID initiatives. Teaching: Leads undergraduate and postgraduate units in Networks, Computer Networks and Security, and HPC & Big Data. Supervises PhD research on blockchain applications, AI security, and peer-to-peer energy trading.

Ji-Jian Chinمشاهده پروفایل

مدرس

• Cryptography
• Cybersecurity
• Public Key Infrastructure
• +۶ مورد دیگر

Dr. Ji-Jian Chin is a Lecturer in Computer Science at the University of Plymouth, part of the School of Engineering, Computing and Mathematics within the Faculty of Science and Engineering. He holds a Ph.D. in Cryptography from Multimedia University and has over a decade of teaching experience, previously serving as an Associate Professor at Multimedia University. His research focuses on theoretical public key cryptography, particularly entity/message authentication schemes, and practical implementations like searchable encryption and mobile device security. He is CISSP-certified and has earned accolades including the Best Thesis Award and Malaysia's top scorer in the TOPCIT ICT exam. Education: Bachelor of Science in Computer Science & Computational Mathematics (Campbell University, Magna Cum Laude) Master of Engineering Science (Multimedia University) Ph.D. in Cryptography (Multimedia University, early completion) Research Interests: Dr. Chin bridges theoretical cryptography with practical applications, specializing in certificateless authentication schemes, blockchain-based PKI, and secure cloud implementations. His work emphasizes real-world cybersecurity solutions such as mobile identity verification and adversarial machine learning defenses. Recent projects include EtherST (blockchain PKI), Sherpasec (cybersecurity training efficacy), and AI-driven driving simulators for safety education. Article Trends: His publications span cryptographic protocol design, federated learning security, and blockchain applications. Notable themes include identity-based schemes, post-quantum cryptography, and cybersecurity in emerging technologies like IoT and TensorFlow systems. Awards: Best Thesis Award in I.T. (Doctoral Studies) Certifications: CISSP, CEH, AWS Cloud Practitioner, COMPTIA CySA+ TOPCIT ICT Exam Malaysia Top Scorer (Band 3) 140+ Coursera Certifications Advising & Grants: While no specific students are listed, Dr. Chin has advised on projects such as IBI-Mobile Authentication and EtherST. His work has been supported through conference organizing roles (ProvSec 2010, MyCrypt 2016) and industry collaborations. Labs/Teams: Active in cybersecurity prototyping, including ETHST's blockchain PKI implementation and AI-enhanced driving simulators for education. Collaborates with institutions like Kyushu University and Malaysia's University Putra.

Antonio Pellicaniمشاهده پروفایل

پژوهشگر ارشد

• Data Mining
• Bioinformatics
• Social Network Analysis
• +۴ مورد دیگر

Antonio Pellicani is a Research Fellow at the Department of Computer Science, University of Bari Aldo Moro (Italy). He holds a PhD in Computer Science and Mathematics from the same institution, completed in 2024 under the supervision of Prof. Michelangelo Ceci. Research Interests: Bioinformatics Time Series Analysis Social Network Analysis Anomaly Detection Process Mining Data Mining His recent work focuses on hybrid computational approaches for analyzing complex data types, including microRNA expression data for disease biomarker discovery and cryptocurrency time series for anomaly prediction. Publications span high-impact journals like Knowledge-Based Systems and Information Fusion , with applications in cybersecurity and biomedical informatics. Laboratory Affiliation: KDDE lab (Knowledge Discovery and Data Engineering) at the University of Bari. International Collaboration: Visiting student at Jožef Stefan Institute’s Knowledge Technologies Department (2023).

Jacques Bou Abdoمشاهده پروفایل

استادیار

• Cybersecurity
• Complex Systems
• Network Economics
• +۵ مورد دیگر

Jacques Bou Abdo is an Assistant Professor at the University of Cincinnati's School of Information Technology, specializing in interdisciplinary research spanning cybersecurity, complex systems, and network economics. His work focuses on cyber deterrence, information warfare dynamics, and resilient network architectures. He holds a dual PhD in Management Sciences (Paris-Saclay University, 2021) and Computer Science (Sorbonne University, 2014), alongside advanced engineering degrees from Lebanese and French universities. Education includes a PhD in Management Sciences (2021, Paris-Saclay), PhD in Computer Science (2014, Sorbonne), and engineering degrees from Saint Joseph University and Lebanese University. Professional experience includes roles at Notre Dame University (NTT Assistant Professor), University of Nebraska, and visiting positions at institutions like Northern Arizona University and ITMO University. Research interests emphasize cybersecurity frameworks, blockchain applications, and computational models for strategic defense. Key themes include anomaly detection in data streams, IoT security, and ethical AI integration. Recent publications explore federated learning for IoT, AI governance, and modular robotics communication. Notable awards include the Fulbright Visiting Scholar Fellowship (2018). Grant roles include Co-PI for a National Strategic Research Institute project on nuclear deterrence theory (2022–2023). His work bridges theoretical models with practical applications in cyber resilience and strategic systems.

Michael Scott Brownمشاهده پروفایل

استاد

• Genetic Algorithms
• Software Engineering
• Educational Technology
• +۳ مورد دیگر

Dr. Michael Scott Brown is a Professor in the Department of Information Systems at the University of Maryland Baltimore County (UMBC). Previously, he served as the Graduate Program Director for Online Masters in Information Systems and related certificates at UMBC. Before that, he was Program Director of Computer Science at the University of Maryland Global Campus (UMGC), overseeing software engineering, database systems, and computer science programs. He has extensive industry experience, including roles at Sun Microsystems, Valhalla Data Systems, and CACI, where he contributed to software engineering and project management. Education: Dr. Brown holds a Doctor of Philosophy in Computer Science (Nova Southeastern University, 2010), a Master of Science in Computer (Shippensburg University, 1997), and a Bachelor of Arts in Mathematics/Computer Science (Shippensburg University, 1992). His thesis focused on a species-conserving genetic algorithm for multimodal optimization. Research Interests: His work spans genetic algorithms, software engineering, educational technology, and data analysis. Notable projects include collaborations with NASA on flight system testing, development of ranking systems for high school sports, and contributions to Cytoscape modeling tools. He has been awarded a Fulbright Grant (2019) and two Effective Practice Awards from the Online Learning Consortium (2016, 2018). Recent Articles Trends: His publications emphasize predictive modeling in education (student retention, test scores), machine learning applications, and optimization techniques. He frequently explores intersections between algorithms (genetic, SVM) and real-world challenges like cryptocurrency forecasting and UAV path planning. Awards: Fulbright Grant (2019), OLC Effective Practice Awards (2016 & 2018), NSF grants, and others. Advising & Grants: Supervised projects at NASA and Cytoscape, managed large educational programs, and secured grants like NSF AIM-PQC. His teaching spans 12 institutions, emphasizing adult and online education. Labs/Teams: Collaborated on NASA Core Flight System testing, Washington Post sports rankings, and the EVA Training System for astronauts. Active in interdisciplinary research through projects like the Open Research Laboratory.

Xihui Chenمشاهده پروفایل

دانشیار

• Climate Governance
• Environmental Policy
• Sustainable Finance
• +۵ مورد دیگر

Dr. Xihui Chen is an Associate Professor in Accounting and Finance at Keele Business School (KBS), University of Keele. She joined in March 2024 after roles as an Assistant Professor at Heriot-Watt University and Senior Lecturer at Teesside International Business School. Her research focuses on climate governance, environmental policy, sustainable finance, and green innovation. She is also a Visiting Professor at the University of Economics in Katowice (Poland) and the University of Economics Ho Chi Minh City (Vietnam). Dr. Chen holds a Ph.D. in corporate governance from Nottingham Trent University. She serves as an external examiner for several UK institutions, including the University of Northampton and University of Suffolk. Notably, she was the first Chinese international student president of all UK Students’ Unions, advocating for inclusivity in academia. Her research has been published in top journals like Journal of Environmental Management , Energy Economics , and Risk Analysis , with a focus on climate policy, green finance, and ESG frameworks. She is an Editor of Journal of Environmental Management and a guest editor for European Financial Management . Teaching includes modules on finance, taxation, and public sector accounting at undergraduate and postgraduate levels. She mentors PhD students in accounting and finance, emphasizing interdisciplinary approaches to sustainability challenges. Grants include a £17,900 award from Keele's Q&R Policy Support Fund for climate policy engagement and a £6,000 grant for community energy transition projects. Her work bridges academia and policy, addressing geopolitical risks, green bond markets, and cryptocurrency energy impacts.

Ghulam Sorwarمشاهده پروفایل

استاد

• Quantitative Finance
• Financial Risk Management
• Option Pricing Models
• +۵ مورد دیگر

Professor Ghulam Sorwar holds the position of Professor of Finance and Head of the Economics, Accounting and Finance Group at Keele Business School, Keele University. Previously, he served as a Lecturer at the University of Stirling and University of Wales, Cardiff, Associate Professor at the University of Nottingham, and Professor of Finance at the University of Salford. He earned his undergraduate degree from University College London and his PhD from Cass Business School (formerly City University Business School). Prior to academia, he worked as a Senior Investment Analyst at Abbey Life Investment Services. His research focuses on quantitative finance topics including negative yield modeling, option pricing robustness, market risk under extreme conditions, vine copula applications, political connections' impact on firms, and comparative analysis of Islamic vs conventional banking. He has extensive teaching experience across UK and international institutions, including executive programs in Islamic Finance and derivatives in cities like Dubai and Singapore. He completed a Team Mastery coaching qualification, emphasizing experiential learning in entrepreneurial settings. Professor Sorwar has served as external examiner for multiple universities (City University London, Glasgow Caledonia, University of Durham, etc.) and participated in numerous conferences globally. His work has been featured in media outlets such as BBC and ITV. He reviews for journals including Journal of Economic Behavior & Organization and Review of Quantitative Finance and Accounting. His teaching spans undergraduate to PhD levels, with a focus on mathematical finance and practical applications. He has advised on program validations for institutions like Bangor University and Kingston University, and contributed to grant assessments for ESRC and conferences worldwide.

Yang Xiaoمشاهده پروفایل

استادیار

• Distributed System Security
• Blockchain and Decentralized Systems
• Trusted and Privacy-preserving Computing
• +۲ مورد دیگر

Yang Xiao is an Assistant Professor in the Department of Computer Science at the University of Kentucky, part of the Stanley and Karen Pigman College of Engineering, where he has been serving since 2022. His research focuses on security and privacy in distributed and cyber-physical systems, with a particular emphasis on practical applications in blockchain, IoT, and mobile networks. Dr. Xiao holds the following academic degrees: Ph.D. in Computer Engineering, Virginia Polytechnic Institute and State University, 2017–2022 M.S. in Electrical Engineering-Systems, University of Michigan, 2015–2017 B.S.E. in Information Engineering, Shanghai Jiao Tong University, 2010–2014 His research interests are centered around securing modern computing infrastructures. Key areas include: Distributed System Security Blockchain and Decentralized Systems Trusted and Privacy-preserving Computing Mobile Communications and Network Security Cyber-Physical Security Dr. Xiao's work addresses critical challenges in ensuring trust and privacy in emerging technologies, particularly in the context of decentralized applications and resource-constrained devices. Analysis of his recent publications (2022-2025) reveals a consistent focus on blockchain security, privacy-enhancing technologies, and machine learning security. He has made significant contributions to decentralized data markets, verifiable credentials for authentication, and robust defenses against backdoor attacks in federated learning. Additionally, his research extends to spectrum sharing, automotive network security, and real-time system integrity. Scientific Awards: No scientific awards were mentioned in the provided information. Regarding advising and grants, the available information does not specify any current advisees or funded research projects.

Francesco Ravazzoloمشاهده پروفایل

استاد

• Econometrics
• Energy Economics
• Financial Econometrics
• +۳ مورد دیگر

Francesco Ravazzolo is a Full Professor of Econometrics at the Faculty of Economics and Management, Free University of Bozen-Bolzano, and Head of the Department of Data Science and Analytics at BI Norwegian Business School. He holds a Ph.D. from Tinbergen Institute (2007). His research focuses on commodity markets, energy economics, financial econometrics, and macroeconometrics, with over 40 publications in leading journals such as the Journal of Applied Econometrics and Annals of Applied Statistics. He serves on the editorial boards of the International Journal of Forecasting, Journal of Applied Econometrics, and others. His work addresses policy-relevant issues like energy price forecasting, macroeconomic volatility, and cryptocurrency modeling. He co-founded AIAQUA and COMMODIA, spin-offs from the Free University of Bozen-Bolzano. Key research interests include Bayesian econometric methods, nowcasting techniques, and the application of advanced statistical models to energy and financial markets. His recent work examines gas price caps, smart energy systems, and pandemic impacts on businesses. He has collaborated with institutions like the Reserve Bank of Australia on core inflation measures and co-developed the DeCo toolbox for density forecast combination.

Simon Weidenholzerمشاهده پروفایل

استاد

• Economics
• Behavioral Economics
• Industrial Organisation
• +۳ مورد دیگر

Professor Simon Weidenholzer is a faculty member in the Department of Economics at the University of Essex. His research focuses on Behavioral Economics, Industrial Organisation, and Evolutionary Game Theory. He holds a professorship and is actively engaged in academic supervision, marked by his openness to supervise students in his areas of expertise. His academic support hours are held weekly on Thursdays from 10:30 AM to 12:00 PM. Professor Weidenholzer’s work bridges theoretical economic models with real-world applications, particularly in understanding strategic interactions, cooperation mechanisms, and decision-making processes. His research often integrates game theory with behavioral insights, exploring topics such as network formation, decentralized financial systems, and institutional evolution. While specific grants or awards are not listed here, his extensive publication record reflects contributions to journals and conferences across economics, finance, and social network analysis. He is based in office 5B.212 on the Colchester Campus and can be reached at sweide@essex.ac.uk for academic inquiries.

• Algorithms and Complexity
• Parallel and Distributed Computing
• Fault-tolerance and Dependability
• +۲ مورد دیگر

Chryssis Georgiou is a Professor and Chair of the Department of Computer Science at the University of Cyprus. He holds a B.Sc. in Mathematics from the University of Cyprus (1998) and a Ph.D. in Computer Science and Engineering from the University of Connecticut (2003). His research focuses on Algorithms and Complexity, Parallel and Distributed Computing, and Fault-tolerance, with over 115 publications. He has served as General Chair of PODC 2015 and Chair of the Steering Committee of ACM PODC (2021-2024). His work is funded by the European Commission and the Cyprus Research and Innovation Foundation. Research interests span distributed systems, blockchain principles, and algorithmic mechanisms. He has led projects such as ESS-BFT (Byzantine Fault-Tolerant Blockchain) and COLLABORATE (fault-tolerant distributed storage). His advising includes numerous doctoral, master’s, and bachelor’s students in areas like machine learning and distributed systems. He co-authored books on Distributed Cooperative Computing and Blockchain systems. Notable roles include Editorial Board member of Information Processing Letters (2018-2023) and participation in EU-funded projects like AEOLUS and DELIS. His labs include the Research Laboratory for Foundations of Computing Systems and Theoretical Computer Science. Current projects involve fault-tolerant storage and machine learning applications in healthcare.

Gabriela Pohlمشاهده پروفایل

مدرس

• Behavioral Economics
• Decision Theory
• Cryptocurrency
• +۲ مورد دیگر

Dr. Gabriela Pohl is a Lecturer in Social Sciences at the University of Southern Queensland's School of Humanities and Communication. Her research examines decision-making under uncertainty in domains including counter-terrorism, intelligence analysis, and cryptocurrency markets. She holds a BBus, GDipEd, MEd, and PhD from USQ. Research focuses on behavioral economics applications in security contexts, cryptocurrency market dynamics, and decision theory frameworks for intelligence operations. Key areas include prospect theory applications in terrorism studies, behavioral patterns in cryptocurrency adoption, and cybernetic models of decision-making. Publications analyze diverse topics including Bitcoin market behavior, industrial espionage countermeasures, Elon Musk's entrepreneurial strategies, and national security implications of cryptocurrency. Research demonstrates interdisciplinary approach combining economics, psychology, and security studies. Dr. Pohl maintains an active research profile with numerous publications on cryptocurrency economics and behavioral approaches to security challenges.