جست‌وجوی استاد و پژوهشگر

• Differential Privacy
• Database Systems
• Data Privacy
• +۵ مورد دیگر

Ashwin Machanavajjhala is a Professor in the Department of Computer Science at Duke University's Pratt School of Engineering. With over 166 publications spanning from 2001 to 2025, his research has significantly impacted the fields of differential privacy, database systems, and data security. His recent work focuses on practical applications of differential privacy for government data releases, particularly for the US Census Bureau. Machanavajjhala's research primarily centers on differential privacy, with significant contributions to database systems, privacy-preserving data analysis, and statistical disclosure control. His work bridges theoretical foundations with real-world applications, particularly in government statistics and census data protection. He has developed numerous frameworks and algorithms including DPXPlain for explaining differentially private query results, PreFair for generating fair synthetic data, and various components of the US Census Bureau's disclosure avoidance system. His research demonstrates a consistent trajectory from theoretical privacy mechanisms toward practical implementations that balance privacy guarantees with data utility. His recent publications reveal a strong focus on applying differential privacy to census data (SafeTab, PHSafe), developing methods for explaining private query results (DPXPlain), addressing fairness in private data analysis (PreFair), and exploring privacy applications in blockchain technology. His work shows increasing engagement with government agencies, particularly the US Census Bureau, where his research has directly informed disclosure avoidance systems for the 2020 Census. Machanavajjhala has advised numerous PhD students who have become prominent researchers in privacy and databases, including Ryan McKenna, Xi He, Yuchao Tao, and David Pujol. His collaborative network includes leading researchers from major institutions, with frequent collaborations with Gerome Miklau, Michael Hay, and Daniel Kifer. His research has been consistently funded by major grants supporting privacy-preserving data analysis. He leads research on the Tumult Analytics framework, a robust and scalable differential privacy system, and has been instrumental in developing privacy technologies for the US Census Bureau's 2020 data release. His work demonstrates a commitment to making differential privacy practical for real-world statistical agencies and data providers.

• Sustainable Logistics
• Operations Research
• Disaster and Crisis Management
• +۹ مورد دیگر

Patrick Hirsch is an Associate Professor at the Institute of Production and Logistics , part of the Department of Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna . He serves as Head of the Institute of Production and Logistics since 2025 and has coordinated doctoral programs in Social and Economic Sciences since 2017. His research focuses on Sustainable Logistics, Operations Research, and Disaster Management , with specializations in Health Care Logistics Humanitarian Supply Chains Urban Mobility Food Security Cybersecurity in Logistics Green Logistics Recent publications highlight his work in 2025-2023 on: Cloud Resource Optimization Disaster Response Logistics Container Terminal Storage Cyberattack Resilience Home Health Care Scheduling His team also explores deep learning for cargo inspection and hybrid simulation modeling for pandemic and climate-related disruptions. Scientific awards include: BOKU Best Paper Award (2024) ITOR runner-up Best Paper (2023) Raiffeisen Science Award (2014) Multiple Early-Career Prizes Dr. Hirsch leads 13 active research projects funded by the Austrian Research Promotion Agency and Oesterreichische Nationalbank , including initiatives on food supply resilience , internet outage cascading effects , and blockchain in logistics security . He supervises collaborative theses and contributes to policy development through institutions like the ITA - Institut für Technikfolgen-Abschätzung .

Yackolley Amoussou-Guenouمشاهده پروفایل

استاد

• Blockchain
• Consensus
• Distributed Systems
• +۱ مورد دیگر

Yackolley Amoussou-Guenou is a Professor in Computer Science at Paris-Panthéon-Assas University, affiliated with the Center for Research in Economics and Law (CRED). His work focuses on blockchain technologies, consensus algorithms, distributed systems, and algorithmic game theory. He earned a Doctorate in Computer Science from Sorbonne University in 2020. His research explores the intersection of game theory and blockchain security, analyzing rational player behaviors, fairness mechanisms, and consensus robustness. His publications highlight trends in committee-based blockchain design, adversarial modeling, and formal verification of consensus protocols. He has contributed to venues including The Review of Financial Studies and conferences like OPODIS, NETYS, and AAMAS. His teaching includes Data Science, Python programming, and Computer Science Fundamentals, reflecting his expertise in both theoretical and applied distributed systems research.

• Tourism Management
• Hospitality Business Strategy
• Strategic Management in Tourism
• +۵ مورد دیگر

Dr. Sotirios Varelas is an Assistant Professor at the Department of Tourism Studies of the University of Piraeus specializing in Hospitality Business and Tourism Organization Strategy. He holds a PhD from the Department of Organization and Business Administration of the School of Economics, Business and International Studies of the University of Piraeus, an MBA-TQM in Business Administration, and graduated from the Department of Statistics and Insurance Science. With over 12 years of professional experience as a scientific consultant in tourism organizations, Dr. Varelas has served at the Ministry of Tourism, the Hellenic Tourism Organization, and the Peloponnese Region. He has collaborated with numerous research centers including the Institute of Regional Development, ELKE of the University of Peloponnese, and the Research Center of the University of Piraeus. His research focuses on strategic management in tourism, digital tourism innovations, sustainable tourism practices, and big data applications in the tourism sector. He has published extensively in international journals on topics including blockchain technology in tourism, virtual immersive platforms, artificial intelligence applications, and strategic management during economic crises. Dr. Varelas teaches various courses including Introduction to Tourism, International Economics and Tourism Market, Tourism Development Strategies, Strategic Management of Tourism Businesses, and Contemporary Tourism Issues at the University of Piraeus. He also serves as the student internship coordinator and academic advisor coordinator for the Department of Tourism Studies. As an active leader in the tourism academic community, he is President of the Board of Directors of the Greek Branch of the World Organization for Technology in Tourism and Travel (IFITT) and has created and coordinated postgraduate programs in tourism business administration.

Marika Apostolova Trpkovskaمشاهده پروفایل

دانشیار

• Cybersecurity
• Blockchain Technology
• Industrial Internet of Things (IIoT)
• +۴ مورد دیگر

Marika Apostolova Trpkovska is an Associate Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, Macedonia). Her academic work spans cybersecurity, blockchain technology, and educational technology with a focus on Industrial IoT security, semantic web applications, and digital learning systems. PhD in Computer Science (Specialty: e-Medical Services based on Semantic Web) MSc in Software Development and Applications BSc in Computer Sciences Her research covers cybersecurity frameworks for Industrial IoT, blockchain applications in public administration, and educational technology innovations including VR/AR integration and gamification. She has published extensively in international conferences and journals on these topics, with recent works focusing on machine learning-enhanced security protocols and decentralized real estate management systems. Current publications (2023-2024) highlight her expertise in IIoT security standards, smart contract development using Ethereum/IPFS, and cybersecurity threat modeling. Earlier works examine e-learning systems implementation, gender disparities in CS research, and real-time operating system validation. She serves as part-time academic staff member while maintaining technical roles in learning management system administration (LIBRI, ANGEL) and teaching responsibilities across software engineering, algorithms, and programming disciplines.

Subhajit Basuمشاهده پروفایل

استاد

• Law and Technology
• Regulation of Emerging Technologies
• Cyberspace
• +۹ مورد دیگر

Professor Subhajit Basu is a leading academic at the University of Leeds , holding the position of Professor of Law and Technology within the School of Law . His work bridges Law, Artificial Intelligence, Big Data, and Emerging Technologies , with a focus on the Global South . He has authored influential books including Privacy and Healthcare Data (Routledge, 2016) and Global Perspectives on E-Commerce Taxation Law (Ashgate, 2008). PhD, Liverpool John Moores University LLB, Calcutta University Called to the Bar in 1998, specializing in Corporate Law in India Research Interests span Regulation of Emerging Technologies, AI Governance, Health Data Privacy, Autonomous Systems, and Online Harm . His recent projects include CoR: Sextortion in the Age of Blockchain and Deepfakes (Naif Arab University, 2025–2026) and Autonomy and Moral Agency in Bioethics (WBNUJS, 2024–2025). He previously led EU Horizon projects like PASCAL (2019–2023) on Connected and Autonomous Vehicles. Scientific Awards include the Hind Rattan (Jewel of India, 2020) and fellowships from the Royal Society of Arts and Higher Education Academy . His editorial leadership includes Editor-in-Chief of the International Review of Law Computers and Technology and associate roles on five journals. Notable Grants include funding from Naif Arab University (Saudi Arabia), EU Horizon 2020, EPSRC, and the Atlantic Philanthropies. He has provided consultancy to the National Cybercrime Research Centre (Poland), the Government of Saudi Arabia on AI frameworks, and The Dialogue (India) on IT Rules.

Andrea Gröppel-Kleinمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing Research
• Cross-Cultural Consumer Studies
• +۴ مورد دیگر

Univ.-Prof. Dr. Andrea Gröppel-Klein is Professor of Business Administration (Marketing) and Director of the Institute for Consumer and Behavioral Research at Saarland University's Faculty of Empirical Human Sciences. She joined CEUS in 2021 and maintains active research collaborations across Europe. Her leadership extends to deputy directorship at the Europa-Institut (Economics Section), where she teaches interdisciplinary courses. Her research examines consumer behavior through innovative interdisciplinary methods including eye tracking, electrodermal response measurement, and facial expression analysis. Key focus areas include: Cross-cultural consumer behavior comparisons Impacts of digitalization, virtual worlds, and demographic shifts Consumer responses to crises (e.g., COVID-19, Ukraine war) Food/health policy through EU projects (FLABEL, CLYMBOL, mEATquality) Animal welfare economics and sustainable consumption Recent publications (2021-2024) demonstrate strong emphasis on digital transformation in marketing, particularly virtual influencers, AI interfaces, blockchain applications, and crisis-driven consumer behavior. Her work consistently integrates behavioral science with practical marketing implications. Honors include: OWL-Unternehmerpreis for doctoral research Büropa-Preis for habilitation excellence Lise-Meitner-Stipendium research grant She directs multiple EU-funded projects investigating meat quality perception and health labeling, while supervising doctoral candidates through the EIASM network. Her institute employs interdisciplinary teams using physiological measurement labs for consumer studies.

• Business Process Management
• Process Mining
• Object-Centric Process Mining
• +۶ مورد دیگر

Amin Jalali is an Associate Professor of Computer and Systems Sciences at Stockholm University, specializing in business process modeling, analysis, and management. He is affiliated with the Department of Computer and Systems Sciences within the Faculty of Social Sciences, where he serves as a board member and manages three graduate courses: Business Process Design and Intelligence, Business Process and Case Management, and Data Warehousing. Institution: Stockholm University Department: Department of Computer and Systems Sciences (DSV) Research Groups: Natural Language Processing Research Group and PRECIS (Process, Requirements, Enterprise, Capability, Information Systems modelling) His research focuses on business process analysis through model-based and data-driven techniques, with particular emphasis on process simulation, process mining, event knowledge graphs, and object-centric process mining. He has led numerous research projects across healthcare, education, and finance domains. His work includes significant contributions to the development of NLP methods involving large language models, with focus on privacy, explainability, and domain adaptation. Jalali's research output shows a strong trend toward practical applications of process mining techniques, particularly in healthcare contexts like drug-drug interaction analysis and elderly care. More recently, his work has expanded into blockchain applications for fraud detection, motor imagery signal classification, and advanced object-centric process mining approaches. His publications span both theoretical contributions to business process management frameworks and practical implementations in real-world settings. He has extensive industry experience in designing and implementing Business Intelligence and Big Data Analytics solutions, which informs his academic work and teaching approach. His research has been published consistently from 2012 through 2024, demonstrating sustained scholarly productivity in his field. Dr. Jalali has contributed significantly to the development of tools and libraries for process mining, including the dfgcompare library for process variant analysis and implementations for object-centric process mining. His work bridges academic research with practical applications, particularly evident in healthcare projects like the DDIs-Graph system for identifying drug-drug interactions.

Dan Gutfreundمشاهده پروفایل

پژوهشگر

• Machine Learning
• Natural Language Processing
• Computer Vision
• +۳ مورد دیگر

Dan Gutfreund is a Principal Research Scientist and Senior Manager at the MIT-IBM Watson AI Lab, focusing on machine learning with applications to natural language processing and computer vision. He previously held managerial and technical roles at IBM's Haifa Research Lab and was involved in IBM Project Debater. Gutfreund earned his PhD in computer science from the Hebrew University in Jerusalem in 2005. His research spans Neuro-Symbolic AI , Computational Complexity , and Foundations of Cryptography , with notable contributions to datasets like Moments in Time and ObjectNet . His recent work includes multimodal models for the metaverse, generative AI for engineering design, and simulator-assisted training for interpretable systems. Gutfreund's publications reflect expertise in AI applications for supply chain prediction, avatar personalization, and reconciling virtual disputes. He has also explored evolutionary algorithms for software engineering and constraint-based generative models in design tasks.

Annalisa Croceمشاهده پروفایل

استاد

• Entrepreneurship
• Venture Capital
• Business Angels
• +۷ مورد دیگر

Annalisa Croce is a Full Professor at the Graduate School of Management, Politecnico di Milano, where she teaches courses including Business Data Analytics and Economia e Organizzazione Aziendale (Business Economics and Organization) at undergraduate and graduate levels since 2014. She serves as Director of the Executive MBA Part Time program and Teaching Area Coordinator for Finance. Her educational background includes: PhD in Management Economics and Industrial Engineering, Politecnico di Milano Master of Science in Management Engineering, Politecnico di Milano Professor Croce's research specializes in empirical analyses of entrepreneurial finance, with core expertise in venture capital, business angel investments, and corporate governance in high-tech firms. Her work spans corporate finance dynamics, innovation economics, efficiency estimation across sectors, and emerging fields like social impact finance and climate finance. She employs diverse empirical methodologies to examine financing mechanisms, ownership structures, and innovation determinants in entrepreneurial ventures. Analysis of her 15 most recent publications reveals intensifying focus on gender diversity in venture capital, internationalization of angel investments, cleantech policy frameworks, and digital transformation in entrepreneurial finance. The trajectory shows growing integration of machine learning approaches and heightened attention to sustainability themes, particularly climate finance and social impact investing since 2021. Her honors include: Gate2Growth 2006 Second Best Paper Award for 'Venture Capital and the Investments of New Technology Based Firms' European Community Short-Term Scientific Mission grant (COST-STSM-IS0604-06244) at Universidad Complutense de Madrid Professor Croce directs the Bureau of Entrepreneurial Finance and serves on the Scientific Committee of Politecnico di Milano's Observatory of Climate Finance. She holds extensive editorial responsibilities including Board of Review membership for Journal of Business Venturing, Editorial Review Board for Entrepreneurship Theory and Practice, and guest editorship for Technological Forecasting and Social Change special issue on digital entrepreneurial finance. Her peer review work spans top journals in economics, finance, and management.

Edgar Vadimovich Vatamanitsaمشاهده پروفایل

استادیار

• Client-server programming
• Java and Android pattern development
• Application information systems
• +۶ مورد دیگر

Edgar Vadimovich Vatamanitsa serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University, specializing in cross-platform software development and cloud computing applications. His work bridges academic research with industry practice through active engagement in both university teaching and commercial software development. Education: Yuriy Fedkovych Chernivtsi National University (2013): Systems Software, Software Engineer Dr. Vatamanitsa's research centers on Java/Android pattern development, client-server architectures, and distributed systems. He pioneers practical implementations of design patterns in cloud environments, with significant contributions to optical field simulation, semiconductor modeling, and intelligent transportation systems. His methodology emphasizes cross-platform efficiency and real-world applicability of theoretical computing concepts. Analysis of his 2022-2024 publications reveals dominant themes in cloud-based optical computation (AWS infrastructure), Java pattern implementation for Android, and cross-platform solutions for traffic management and semiconductor physics. His work consistently integrates distributed systems with domain-specific challenges in optics, printing technology, and educational analytics, demonstrating exceptional versatility across engineering disciplines. Professional Activities: Member of Bukovina Information Technology Cluster (since 2022) Senior Software Developer at EPAM SYSTEMS Certificate in Cross-platform Programming and Information Security (Ternopil National Technical University, 2023) Tech Summer Bootcamp for Teachers participant (2023)

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +۸ مورد دیگر

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing

Chiara Petrioliمشاهده پروفایل

استاد

• Wireless Networking
• Underwater Sensor Networks
• Internet of Things (IoT)
• +۳ مورد دیگر

Chiara Petrioli is Full Professor at Sapienza University of Rome's Department of Computer, Control and Management Engineering and Deputy Rector for scouting, fundraising, and business incubation. She founded the spinoff WSENSE S.r.l. and coordinated the university's Computer Science Ph.D. program. Her research pioneers the Internet of Underwater Things, leading to breakthrough technologies featured in international media and the NT100 list. Her research interests center on wireless, embedded, IoT, and cyber-physical systems, with a focus on underwater networking. She designs and optimizes communication protocols, security mechanisms, and energy-efficient architectures for underwater sensor networks, enabling applications in environmental monitoring, archaeology, and deep-sea exploration. Recent publications highlight trends in underwater acoustic communications (e.g., dual-channel protocols, S2C modulation), security (authentication, key exchange), and energy efficiency (wake-up radio, UAV-assisted data collection). Applications span dissolved oxygen monitoring, submerged heritage preservation, and sustainable deep-sea mining impact assessment. Her scientific awards include: IEEE Fellow 2021 Fulbright Scholar Inspiring Fifty 2018 N2Women 2019 Star in Computer Networking and Communications Gamma Donna Women Startup Award 2022 Top 2% World Scientist by Stanford Repubblica D 100 Women to Change the World 2021 As principal investigator, she has led over twenty national and international projects, including EC projects GENESI and SUNRISE, and EASME projects ArcheoSub and Seastar. She founded WSENSE S.r.l., a spinoff that translates research into innovative technologies, resulting in international patents and features in BBC, RAI, Wired, and National Geographic. She actively contributes to the academic community as chair of IEEE SECON steering committee, associate editor of ACM/IEEE Transactions on Networking, and through leadership roles in ACM SIGMOBILE and IEEE Transactions on Mobile Computing.

Andrea Vitalettiمشاهده پروفایل

دانشیار

• Blockchain Technologies
• Internet of Things (IoT)
• Smart Environments
• +۷ مورد دیگر

Andrea Vitaletti is an Associate Professor at Sapienza University of Rome , affiliated with the Department of Computer Engineering, Automatics and Management Antonio Ruberti (DIAG) in the College of Engineering. His academic career spans over two decades of research in networking and algorithmic topics. PhD in Computer Science, Sapienza University of Rome (1998–2002) Assistant Professor (Ricercatore) at Sapienza (2007–2019) Co-founder of spin-offs WSENSE (2012–2019) and WLAB (2002–2016) Research Interests focus on decentralized systems , particularly blockchain technologies , Internet of Things (IoT) , federated machine learning , and data privacy . His work bridges theoretical algorithmic research with practical implementations in wireless sensor networks and distributed ledger systems. Scientific Contributions include over 90 publications, 2 patents, and leadership in the EU FET OPEN project PLEASED. His applied research has been recognized with multiple awards: 2000: Wonderland Contest - Media and Communication 2002: Simagine Innovation Prize 2004: Simagine Bronze Award 2007: Premio Perotto Top Prize 2012: Italiacamp Winner He leads the Wireless Sensor Networks lab at DIAG, supervising 2 PhD students, 1 post-doc, and 5 master students. His teaching portfolio includes courses on IoT, blockchain, cybersecurity, and digital entrepreneurship since 2000.

• Sustainability
• Corporate Governance
• Fintech
• +۷ مورد دیگر

Grazia Dicuonzo is a Full Professor at the Department of Economics, Management and Business Law, University of Bari Aldo Moro. Her work spans interdisciplinary areas, focusing on sustainability, fintech, corporate governance, and digital transformation in business contexts. Current affiliation: University of Bari Aldo Moro, Department of Economics, Management and Business Law. Contact: grazia.dicuonzo@uniba.it Her research explores: Integration of Environmental, Social, and Governance (ESG) practices in corporate frameworks Impact of gender diversity on SME performance Role of blockchain and artificial intelligence in transforming industries Challenges in digital transformation within family businesses Applications of Big Data in healthcare and risk management Evolution of sustainability reporting standards The 15 most recent articles reflect a trend toward addressing sustainability through technological innovation (blockchain, AI), governance reforms, and sector-specific studies (banking, healthcare, fashion). Key subfields include digital platform management , pandemic response governance , and non-financial disclosures .