جست‌وجوی استاد و پژوهشگر

Wolfgang Spiess-Knaflمشاهده پروفایل

پژوهشگر ارشد

• Social Finance
• Impact Investing
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Wolfgang Spiess-Knafl is a Research Fellow at the European Center for Social Finance at Munich Business School (MBS). He holds a doctorate from the Technical University of Munich on 'Financing of Social Enterprises' and has extensive post-doctoral experience at Zeppelin University, focusing on Social Finance and Impact Investing. His research spans Social Innovation, Climate Finance, and the application of AI/Blockchain for social impact. **Education**: Management Engineering from Vienna University of Technology (with exchanges at PUC Rio de Janeiro and INSA Rouen) Doctorate in Entrepreneurial Finance from Technical University of Munich **Research Interests**: He specializes in impact investing mechanisms, social enterprise financing, and integrating emerging technologies like AI and blockchain into social finance. His work with the European Commission, FEBEA, and German foundations has shaped policy frameworks for ethical finance and climate resilience. **Key Contributions**: Authored seminal books on Impact Investing (Palgrave Macmillan) and AI/Blockchain for Social Impact (Routledge). Published extensively in academic journals and policy reports, including analyses for the European Parliament and the Association of German Foundations. Co-developed frameworks for assessing social enterprise integrity and climate finance integration. **Grants & Collaborations**: Led studies on social finance market development for the European Commission, FEBEA, and the European Liberal Forum. Active in interdisciplinary teams at MBS’s European Center for Social Finance, bridging academic research with practical policy solutions. **Labs/Teams**: Core member of the European Center for Social Finance at MBS, collaborating with global institutions to advance ethical finance mechanisms and technology-driven social impact solutions.

Ali Emdadمشاهده پروفایل

استاد

• Blockchain Technology
• Cryptoeconomics
• Information Systems
• +۶ مورد دیگر

Dr. Ali Emdad is a Professor and Executive Director of Research Centers at Morgan State University's Graves Business School. He holds leadership roles including Director of the National Fintech Center and Information Science & Systems. With a Ph.D. from Case Western Reserve University and executive training at Harvard/Yale/MIT, he bridges technology, business, and societal impact. His research focuses on blockchain, cryptoeconomics, IT strategy, and risk management. He pioneered academic programs like the B.S. in Supply Chain Management and the Ph.D. track in Information Systems, and established the Center for Blockchain & FinTech and the Center for Data Analytics & Sports Gaming Research. Dr. Emdad has secured $7.5M+ in external funding since 2019, emphasizing industry-academia collaboration. Education and Background: Earned Ph.D. in Information Systems from Case Western Reserve University. Completed executive leadership programs at Harvard, Yale, and MIT. Prior industry experience at Kennecott Corporation. Research & Innovation: Focuses on blockchain's last-mile challenges, trust verification in cryptoeconomics, and data-driven solutions for societal issues. Developed the Capital Markets Lab (since 2015) and the Student Managed Investment Fund (2024). Awards & Recognition: Recipient of Morgan State's highest faculty honor, the Iva G. Jones Medallion, and a 2007 Fulbright Fellow. His work emphasizes inclusivity and innovation, shaping academic excellence through AACSB accreditation standards. Grants & Partnerships: Secured over $7.5 million in funding from corporations and government agencies since 2019, fostering partnerships for applied research and community impact. Labs & Initiatives: Leads the National Fintech Center, Capital Markets Lab, and Student Managed Investment Fund. Co-founded the Center for Data Analytics & Sports Gaming Research.

Ashish Guptaمشاهده پروفایل

استاد

• Deep Learning
• Machine Learning
• AI
• +۲ مورد دیگر

Ashish Gupta holds the Globe Life Professor title in the Department of Business Analytics & Information Systems at Auburn University and serves as an Adjunct Professor in the Department of Computer Science and Software Engineering. His research focuses on Deep Learning, Machine Learning, AI, Natural Language Processing, and Social Network Analytics. Education: Ph.D. in Management Science and Information Systems from Oklahoma State University. Research trends in his articles emphasize AI-driven solutions for misinformation detection, healthcare analytics, smart grids, and educational pedagogy. Notable themes include real-time fake news detection, pandemic impact studies, and predictive modeling in healthcare and agriculture. No scientific awards or grants are explicitly listed. He advises no formally listed students. His work integrates computational methods with societal challenges, particularly in healthcare, education, and agriculture. Collaborations span interdisciplinary domains, though specific lab affiliations are not mentioned.

• Cybersecurity
• Internet of Things (IoT)
• Blockchain Technology
• +۳ مورد دیگر

Yuan Liu is a faculty member affiliated with Guangzhou University's Cyberspace Institute of Advanced Technology. Their research focuses on cybersecurity, blockchain technology, federated learning, and IoT systems. They have held roles at multiple institutions, including Northeastern University (Software College) and Nanyang Technological University (PhD in Computer Engineering). Liu's work emphasizes secure communication, edge computing, and distributed systems, with contributions to protocols like blockchain-based redactable systems and quantum federated learning frameworks. They have collaborated extensively on projects addressing IoT security, smart healthcare, and privacy-preserving technologies. Key research trends include leveraging AI for enhanced security (e.g., watermarking frameworks, attack detection) and optimizing resource allocation in edge computing environments. Their publications span journals like IEEE Communications Surveys & Tutorials and conferences such as GLOBECOM.

Vassilis P. Plagianakosمشاهده پروفایل

دانشیار

• Machine Learning
• Neural Networks
• Bioinformatics
• +۵ مورد دیگر

Vassilis P. Plagianakos is an Associate Professor at the Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece. He has held visiting academic roles at the University of the Aegean, University of Patras, and University of Central Greece. He currently serves as the Department Head and Director of the postgraduate program Informatics and Computational Biomedicine in the School of Sciences. His research focuses on machine learning, neural networks, bioinformatics, and parallel computing with applications in healthcare and education. Education : Bachelor’s in Mathematics (1996), University of Patras Ph.D. in Mathematics (2003), University of Patras Research Interests : Plagianakos explores neural networks, evolutionary algorithms, and machine learning applications in bioinformatics, medical diagnosis, and educational technology. His work bridges computational methods with real-world challenges in healthcare (e.g., precision medicine) and STEM education (e.g., flipped classrooms, AI integration). Recent Trends in Publications : Recent work emphasizes predictive precision medicine using big data, blockchain scalability solutions, and AI ethics in automated content detection. He has pioneered methods like the HCER hierarchical clustering-ensemble regressor and developed tools for analyzing single-cell RNA sequencing data. Professional Activities : Member of IEEE Neural Networks Society, IEEE BBTC, and former Board Member of the Hellenic AI Society. Active in collaborative projects like CrowdHEALTH for policy-driven health data analytics.

Darshika G. Pereraمشاهده پروفایل

استادیار

• Computer Engineering
• FPGA-Based Hardware Acceleration
• Neuromorphic Computing
• +۵ مورد دیگر

Darshika G. Perera is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Colorado Colorado Springs (UCCS). Her research focuses on FPGA-based hardware acceleration, neuromorphic computing, and embedded systems optimization with applications in machine learning, cryptography, and battery management systems. She holds a PhD and has extensive experience in designing reconfigurable architectures for compute-intensive tasks. Her work bridges theoretical algorithms with practical hardware implementations, emphasizing efficiency and real-time performance. Key research areas include FPGA design methodologies, neuromorphic hardware for AI applications, and embedded systems security. She has published widely on topics such as hardware-software co-design for edge computing, optimization algorithms for genomics, and blockchain applications in healthcare IoT. Her contributions also span data mining hardware accelerators and dynamic reconfiguration techniques for cryptographic systems. Dr. Perera’s work is characterized by interdisciplinary collaborations, combining principles from electrical engineering, computer science, and applied mathematics. She is committed to advancing next-generation edge-computing platforms through innovative architectures and methodologies.

Rachel O’Dwyerمشاهده پروفایل

مدرس

• Digital Cultures
• Cultural Economies
• Money & Algorithms
• +۳ مورد دیگر

Rachel O’Dwyer is a Lecturer in Digital Cultures at the School of Visual Culture, National College of Art and Design (NCAD), Dublin. She holds a PhD from Trinity College Dublin (2014), an M.Phil. in Music and Media Technologies (2009), a B.A. Honours in Fine Art (Digital Media) from IADT Dun Laoghaire (2006), and a City & Guilds Diploma in Sound Engineering (2007). Her research explores the intersection of digital cultures and cultural economies, focusing on how digital networks transform ownership, value, and production of art, knowledge, and information. She critiques neoliberal logics in blockchain and algorithmic systems, advocating for a return to commons-based models. Education: PhD, Trinity College Dublin (2014): Spectre of the Commons: A Political Economy of Radio Spectrum M.Phil., Trinity College Dublin (2009): Music and Media Technologies B.A. Honours, IADT Dun Laoghaire (2006): Fine Art (Digital Media) City & Guilds Diploma, Sound Engineering (2007) Research Interests: Rachel’s work interrogates money, algorithms, AI, and their implications for cultural production and resistance. She investigates the role of blockchain in crypto-art, freeports, and art markets, while also examining how IoT and 5G reshape payments and surveillance. Her critical lens extends to the political economy of communications, digital value systems, and tactical media strategies like Openhere and D.A.T.A. Scientific Awards: 2018: Fulbright Scholar Award (Blockchain & Art) 2018: RIA Charlemont Scholar Award 2014: SFI Public Engagement Grant 2010-2014: Science Gallery Seed Funding Advising & Grants: Rachel has coordinated modules in the history of creative industries and designed MOOCs on technology and society. She organized the Openhere festival (2012, 2014), Data Politics conferences (2016), and Quantified Self events (2011). Her current book project with MIT Press examines radio spectrum ownership. Labs & Teams: She is a core member of the P2P Foundation’s academic research network and coordinates the Orthogonal Methods Group (OMG) at Trinity College Dublin. She advises the DECODE EU project on data sovereignty and contributes to ADAPT’s Ethics and Privacy Working Group.

Jan KLEINمشاهده پروفایل

دانشیار

• Digital Marketing
• Service Innovation
• Customer Experience
• +۴ مورد دیگر

Jan KLEIN is an Associate Professor of Digital Marketing at IÉSEG School of Management in France. His academic career includes roles as Assistant Professor at Tilburg School of Economics and Management (2017-2023) and adjunct faculty positions at Aalto University and Management Center Innsbruck. He holds a Ph.D. in Marketing from the European Business School (2015), an MBA from KATZ Business School (USA), and a Master's in Automotive Management. His research focuses on Digital Marketing, Service Innovation, and Customer Experience, particularly in omnichannel environments and B2B contexts. Notable contributions include studies on technology-enabled personalization, blockchain applications in sharing economies, and customer journey analysis in digital media. His work bridges academic rigor with practical insights for retail and service industries. Dr. Klein has been recognized with numerous teaching awards, including multiple Excellence in Teaching Awards from Tilburg University (2017-2021) and the Arnd Schikowsky Award (2013). His publications span leading journals like the Journal of Service Research and Industrial Marketing Management. He actively engages in executive education through Aalto University and other institutions. His research emphasizes measurable customer experience frameworks and the strategic use of emerging technologies. Current projects explore the integration of big data analytics in customer journey mapping and the impact of blockchain on trust in peer-to-peer markets.

• Power Systems
• Renewable Energy
• Electric Vehicles
• +۲ مورد دیگر

Haitham Abu-Rub is a Professor at Texas A&M University at Qatar specializing in power systems, renewable energy integration, and power electronics. His research focuses on developing innovative solutions for grid stability, EV charging infrastructure, and intelligent control systems. He has published extensively in IEEE journals and conferences, addressing challenges in smart grids and sustainable energy systems. His work spans power converter design, fault diagnosis, and AI applications in energy management. Recent projects include decentralized PV trading systems, resilient inverter networks, and physics-informed neural networks for insulation diagnostics. Dr. Abu-Rub collaborates internationally on projects involving grid-interactive buildings, digital twins for power converters, and adaptive control techniques for electric vehicle charging.

• Electric Vehicles
• Fuzzy Logic
• Blockchain
• +۵ مورد دیگر

Shahid Hussain is an Associate Professor at King Abdullah University of Science and Technology (KAUST) in the Computer, Electrical and Mathematical Sciences and Engineering Division. His research spans multiple domains including electric vehicle infrastructure, blockchain technology, and intelligent systems for IoT applications, with a focus on practical implementations of computational intelligence techniques. Dr. Hussain's research interests include: Electric Vehicles and Smart Grid Integration Fuzzy Logic and Intelligent Decision Systems Blockchain Applications for Security and Privacy Machine Learning for IoT and Healthcare Applications Energy Management Systems Smart City Infrastructure Development His recent publications demonstrate a strong focus on applying hybrid computational approaches to solve complex engineering problems, particularly in transportation systems and healthcare applications. Dr. Hussain has published extensively in IEEE journals, with particular emphasis on innovative approaches to electric vehicle charging infrastructure, secure IoT systems, and blockchain-enabled solutions for real-world challenges. Dr. Hussain maintains active collaborations with researchers globally, particularly with Reyazur Rashid Irshad, Young-Chon Kim, and Subhasis Thakur. His work bridges theoretical advancements with practical implementations, as evidenced by his research on fuzzy integer linear programming for EV charging stations and blockchain-enabled security frameworks for medical IoT systems.

Klitos Christodoulouمشاهده پروفایل

استادیار

• Distributed Ledger Technologies
• Blockchain
• Machine Learning
• +۳ مورد دیگر

Klitos Christodoulou is an Assistant Professor in the Department of Digital Innovation at the University of Nicosia (UNIC), affiliated with the School of Business. He holds a PhD in Computer Science from the University of Manchester (2014), along with a BSc and MSc in Computer Science from the same institution. His research focuses on Distributed Ledger Technologies, Blockchain, Machine Learning, and Data Integration. He is a research faculty member at UNIC's Institute For the Future (IFF) since 2018 and actively contributes to ISO/TC 307 standards for Blockchain. Christodoulou has led projects like the Ripple grant and participated in EU initiatives such as EUNOMIA and DLT4ALL. He teaches blockchain courses in UNIC's MSc in Digital Currency program and serves on editorial boards, including Frontiers in Blockchain. His work explores blockchain governance, consensus algorithms, and ethical applications in supply chains. Education: BSc in Computer Science, University of Manchester (2006–2009) MSc in Advanced Computer Science, University of Manchester (2009–2010) PhD in Computer Science, University of Manchester (2010–2014) Research Interests: Blockchain and DLT architectures Machine Learning applications in finance and security Decentralized governance models Blockchain adoption frameworks Awards/Grants: Principal Investigator of the Ripple grant; EU-funded projects (EUNOMIA, DLT4ALL); contributor to Cyprus National Blockchain Strategy. Labs/Teams: Institute For the Future (IFF), University of Nicosia

Risteski Aleksandarمشاهده پروفایل

استاد

• Telecommunications
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Professor Risteski Aleksandar holds a Ph.D. in Telecommunications and has been a faculty member at the Faculty of Electrical Engineering and Information Technologies, University Ss. Cyril and Methodius, since 1996. He currently serves as a Professor and has held roles including Vice-Dean for Science and International Cooperation (2008–2016). His research focuses on telecommunications, cybersecurity, blockchain applications in education, and IoT security. He has extensive industry experience, including internships at IBM T.J. Watson Research Center in the U.S. Education: Ph.D. in Telecommunications (2001–2004) M.Sc. in Telecommunications (1997–2000) Dipl. Ing. in Electronics and Telecommunications (1991–1996) Research Interests: Blockchain technology for academic credential verification Cybersecurity in tactical communication systems IoT energy efficiency and reliability Network intrusion detection using deep learning Anti-forgery systems using AI and blockchain Publications Trends: Over 50 publications since 2000, with recent focus on blockchain applications in education, cybersecurity frameworks for 5G networks, and IoT energy optimization. His work bridges theoretical advancements with practical implementations in telecommunication infrastructure. Awards: No specific awards listed, though his contributions to blockchain-based educational systems and cybersecurity research are notable. Advising & Grants: No listed students, but active in research projects funded by industry partnerships. Collaborations include IBM Research and initiatives in Macedonia's telecommunication sector. Labs/Teams: Affiliated with the Institute of Telecommunications at his faculty, focusing on network security and emerging technologies.

Barbara Carminatiمشاهده پروفایل

استاد

• Access Control
• Adaptable Collaboration
• Compatibility-driven
• +۱۶ مورد دیگر

Barbara Carminati is a Professor at the Department of Theoretical and Applied Science, University of Insubria, Italy. Her work focuses on security, privacy, and trust management in decentralized systems, particularly online social networks, IoT, and emerging technologies like blockchain and digital twins. She has contributed extensively to access control, risk assessment, and collaborative frameworks. Her research spans trust modeling , privacy-preserving mechanisms , and malware detection , with a strong emphasis on decentralized social networks and UAV security . She actively explores the application of blockchain for secure workflows and information sharing. Recent publications highlight her engagement with large language models for security optimization, IoT botnet detection , and metadata leakage analysis . Her work bridges theoretical foundations with practical implementations in cybersecurity, social network management, and edge computing. Contact: barbara.carminati@uninsubria.it

• Quantum Computing
• Edge Computing
• Distributed Systems
• +۲ مورد دیگر

Dr. Vincenzo De Maio is a PostDoc Researcher at the Department of Computational Sustainability, Faculty of Informatics, Technische Universität Wien. His research spans quantum computing, edge computing, distributed systems, and sustainable computing, with a focus on hybrid quantum-classical systems and edge AI applications. Current projects: HPQC (2023–2025), ThEMIS FWF (2024–2027), TRITON FWF (2023–2027) Previous projects: RUCON (2016–2023), SWAIN (2021–2024) His research explores the integration of quantum computing with classical systems, particularly in software engineering, workflow decomposition, and hyperparameter optimization. He also works on edge computing for smart cities, environmental monitoring, and traffic safety applications. Recent publications analyze quantum compilation bottlenecks, hybrid quantum-classical workflow orchestration, and quantum neural network optimization. He supervises master's theses on topics like quantum edge benchmarking and hyperparameter tuning. Key collaborations with Prof. Ivona Brandic and others Active in IEEE/ACM conferences and Springer publications

• Distributed Systems
• Networking
• Operating Systems
• +۷ مورد دیگر

Dwight Makaroff is a Professor in the Department of Computer Science at the University of Saskatchewan . He leads the DISCUS research group , focusing on distributed systems, networking, and performance analysis. Makaroff holds a Ph.D. from the University of British Columbia (1998), an M.Sc. (1988), and a B.Comm. (1985) from the University of Saskatchewan. Research Interests: Distributed Data Processing & Hadoop Network Support for Multiplayer Games Information-Centric Networking Energy Efficiency in Mobile Devices Multicore Architectures Wireless Network Security Sensor Networks & Data Aggregation Teaching: Courses include Operating Systems Principles , Topics in Parallel & Distributed Systems , and advanced systems courses. He coordinated the ACM ICPC programming contest teams for over a decade. Committees: Graduate Committee Chair (2013-2015) University Council Member (2006-2014) Program Committee roles at IEEE/ACM conferences (IPCCC, CASCON, etc.) Recent Research Highlights: IoT security via blockchain Wearable device communication challenges Caching strategies for information-centric networks