António Palma Dos Reis is a Professor at the ISEG School of Economics and Management at the University of Lisbon, specializing in Management Science and Information Systems. He holds a PhD in Management Science from the University of Wisconsin-Milwaukee (1996), along with MS (1993) and BS (1989) degrees in Management and Information Systems. His professional roles include leadership positions such as Dean and President of the ADVANCE research unit. His research focuses on digital transformation, robotic process automation (RPA), blockchain applications, and technology adoption in organizations. Notable studies include analyzing RPA's value for enterprises and blockchain's role in online gambling. He has advised over 30 master’s students on topics like cloud security, RPA implementation, and AI-driven decision systems. Reis has served on the scientific council of the Open University of Lisbon and contributed to institutional governance as a member of ISEG’s Senate. His work bridges theoretical frameworks (e.g., TOE model) with practical applications in procurement systems, mobile business, and financial decision-making. His publications span 30+ years, covering strategic performance analysis, e-procurement systems, and collaborative decision-making. Current research emphasizes organizational ambidexterity and post-AI societal impacts, reflecting a dual focus on technological innovation and managerial strategy.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۴۶-۶۰ از ۲۵۴ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Ingo Weber is a Professor affiliated with Technische Universität München (TU Munich) and Fraunhofer Gesellschaft. His research focuses on blockchain technology, business process management (BPM), and artificial intelligence (AI), with a particular emphasis on integrating these fields. He has held former positions at TU Berlin, CSIRO Data61, and other institutions. Current affiliations: TU Munich and Fraunhofer Gesellschaft Former affiliations: TU Berlin, CSIRO Sydney, University of New South Wales, SAP Research, and University of Massachusetts Amherst Research interests include blockchain applications in business processes, process mining, AI-driven systems, and sustainability-oriented process analysis. His work explores topics such as blockchain scalability, data confidentiality, and cost-efficient process execution on next-generation blockchains like Algorand. He has pioneered frameworks like SOPA for sustainability analysis and FhGenie for confidentiality-preserving AI. Key contributions include over 200 publications in journals like IEEE Access, Future Generation Computer Systems, and ACM Transactions on Management Information Systems. Recent work emphasizes AI-augmented BPM systems and the application of large language models (LLMs) in scientific contexts. Notable projects include blockchain-based process execution engines (e.g., Caterpillar), platform architectures for multi-tenant blockchain systems, and frameworks for evaluating payment channel networks. He has collaborated extensively with industry partners and academic institutions globally.
Edoardo Pattiمشاهده پروفایل
دانشیار
Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing
Dilum Bandaraمشاهده پروفایل
عضو هیئت علمی
- Distributed Systems
- Blockchain
- Cloud Computing
- +۱۳ مورد دیگر
Dilum Bandara is a Principal Research Scientist at CSIRO's Data61 in Australia and an Adjunct Senior Lecturer at the School of Computer Science and Engineering, Faculty of Engineering, University of New South Wales (UNSW). He has previously served as a Senior Lecturer at the University of Moratuwa, Sri Lanka, and has over two decades of experience in research, teaching, and consultancy in distributed systems, security, and software engineering. His academic qualifications include: PhD in Computer Science, Colorado State University, USA (2012) MS in Computer Science, Colorado State University, USA (2008) BSc Eng. (Hons) in Computer Science and Engineering, University of Moratuwa, Sri Lanka (2004) Dilum's research interests are centered on Distributed Systems (Blockchain, Cloud, P2P), Computer Security , Software Architecture , Data Engineering , Performance Engineering , and the Internet of Things (IoT) . He applies these technologies in multidisciplinary domains such as Supply Chains , Digital Finance , Environmental, Social, and Governance (ESG) , Fleet Management , and Weather Monitoring . His work emphasizes real-world impact through trusted data management in multi-party ecosystems. The analysis of his recent publications reveals a strong focus on blockchain for transparency and security, cloud-native performance engineering, IoT integration with edge and cloud, and data-driven solutions for smart cities and sustainability. His work consistently bridges theoretical innovation with practical deployment, particularly in national and international infrastructure projects. His scientific awards include: Best Paper Award at BPM 2024 Multiple CSIRO internal awards (Customer First, Engineering and Technology, Collaboration) from 2021–2023 Student Paper Award (Merit) at IEEE SOLI 2018 Award of Excellence for Outstanding Research at University of Moratuwa (2015–2018) Dilum has led and contributed to several research grants, particularly during his time at the University of Moratuwa, including projects on smart city integration, real-time data forecasting, and cloud platforms for scientific computing. He has also held leadership roles such as Director of the Engineering Research Unit and co-founder of VaticHub. He is actively involved in professional communities as a Senior Member of IEEE and a Chartered Engineer with IESL. At CSIRO, he serves as a Health and Safety Representative, reflecting his commitment to corporate citizenship. He has advised students and early-career researchers, though specific names are not listed in the provided text. His labs and research teams include the Architecture and Analytics Platforms (AAP) team at CSIRO Data61 and collaborations with academic institutions like UNSW and University of Moratuwa.
Nane Kratzke is a Professor at Lübeck University of Applied Sciences, specializing in cloud computing and cloud-native applications. His research addresses practical challenges in container orchestration, cloud security, and vendor lock-in for small and medium enterprises. He holds a Diplom in Computer Science and a Doctorate in Natural Sciences, though specific institutions are not documented in available sources. Research interests include cloud-native architecture design, Kubernetes orchestration, moving target defenses for cloud security, and cost modeling of cloud services. His work bridges academic research and industry needs, particularly for SMEs seeking cloud portability through multi-cloud strategies and runtime transferability. Analysis of recent publications (2022-2024) reveals a strategic shift toward AI-driven cloud management techniques like prompt engineering, building on foundational contributions in cloud observability, security mechanisms, and transferability frameworks established between 2016-2021. Key recurring themes include mitigating vendor lock-in and enabling seamless application migration across cloud environments. No scientific awards are documented in the provided information sources. Details regarding graduate student advising, research grants, and laboratory facilities are not specified in current datasets, though his publications on programming assessment tools indicate engagement with computer science education.
Jasmine Gnanadurai serves as an Associate Professor in the Department of Electrical Engineering & Computer Science at George Fox University's College of Engineering. She teaches a range of courses including Introduction to Computer Science, Software Engineering, Servant Engineering, and Senior Design. Her office is located in Wood-Mar 222, where she holds regular office hours for student consultation. Dr. Gnanadurai's educational background includes: Ph.D. in Computer Science (2017) from Anna University, Chennai, India M.Phil (2006) from Bharathidasan University, Tiruchirappalli, India M.C.A. (2000) from Bharathidasan University, Tiruchirappalli, India B.Sc. in Computer Science (1997) from Bharathidasan University, Tiruchirappalli, India Dr. Gnanadurai's research spans multiple cutting-edge domains in computer science and engineering. Her work in wireless sensor networks has focused on optimization algorithms for zone-based networks, particularly using techniques like DBSCAN clustering and particle swarm optimization. She has made significant contributions to cloud computing architecture, especially in resource allocation and load balancing for peer-to-peer networks. Her expertise extends to machine learning applications across diverse fields including agriculture productivity, student feedback analysis, and crowd behavior recognition. Her recent publications demonstrate a strong interdisciplinary approach, bridging computer science with practical applications in healthcare, education, smart cities, and transportation. She has published extensively on deep learning techniques for EMG-based hand gesture recognition, blockchain applications for electric vehicle charging infrastructure, and immersive technologies for educational settings. These works reflect her commitment to addressing real-world challenges through technological innovation. Dr. Gnanadurai actively contributes to the engineering education mission at George Fox University through multiple channels. She teaches foundational computer science courses, advanced software engineering, and participates in the university's distinctive Servant Engineering program where students develop solutions to humanitarian needs. She also guides senior engineering students through their capstone Senior Design projects, which partner with industry sponsors to solve real-world problems. As part of the College of Engineering, Dr. Gnanadurai works within interdisciplinary teams that collaborate on projects addressing humanitarian needs through the Servant Engineering program. This program connects students with community partners to develop engineering solutions that serve vulnerable populations, reflecting the university's Christian mission of service. Her involvement in Senior Design connects students with industry partners including Xerox, Intel, Garmin, and numerous regional companies, providing students with valuable real-world experience.
Munindar P. Singh is the SAS Institute Distinguished Professor of Computer Science at North Carolina State University . He serves as a core faculty member in the Science of Security Lablet and contributes to initiatives in responsible computing and ethical AI . His research spans artificial intelligence , software engineering , and computing ethics . Education: Ph.D. in Computer Sciences from University of Texas at Austin (1993) B.Tech. in Computer Science and Engineering from Indian Institute of Technology, Delhi (1986) Research Focus: Dr. Singh's work centers on trustworthy AI and sociotechnical systems , with key contributions in Multiagent systems and BDI architectures Defensive cyberdeception using hypergame theory Normative systems for blockchain applications Equitable transportation systems via AI Service-oriented computing and protocol engineering Scientific Recognition: Fellow of AAAI , IEEE , and ACM Recipient of NSF CAREER Award and multiple industry awards Editor-in-Chief of ACM Transactions on Internet Technology Grant Activities: Currently leading several major NSF-funded projects including: SCC: Serving Households in Food Insecurity ($2.018M) RI: Foundations of Ethics for Multiagent Systems ($500K) Science of Security Lablet ($3.65M)
Farah Kandahمشاهده پروفایل
دانشیار
- Cybersecurity
- Internet of Things (IoT)
- Blockchain
- +۳ مورد دیگر
Farah Kandah is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University. Her research focuses on cybersecurity, IoT security, blockchain, trust management, and machine learning applications in networked systems. She leads initiatives in ethical hacking and quantum computing education, and has been awarded a $116K NSF grant to develop quantum computing curricula. Education: Ph.D. Computer Science, North Dakota State University M.S. Computer Science, University of Jordan B.S. Computer Science, The Hashemite University Research Highlights: Dr. Kandah's work addresses IoT security challenges through behavioral trust models, blockchain-based architectures, and machine learning-driven intrusion detection systems. She has pioneered hybrid testbeds like XiveNet and contributed to frameworks like Zero Trust+ and B2-C2 for scalable IoT security. Her research integrates hardware-software co-design principles to enhance resilience against advanced cyber threats. Grants & Awards: Recipient of a National Science Foundation grant (2023) for quantum education programs. Auburn's Cybersecurity programs under her contribution hold three National Centers of Academic Excellence designations (Cyber Research, Cyber Defense, Cyber Operations). Advising & Outreach: Advises the Auburn Ethical Hacking Club, which competes in national cyber competitions. Active in mentoring students through initiatives like the Computing Research Association's Outstanding Researcher Awards. Lab & Collaborations: Involved with the Center for Artificial Intelligence and Cybersecurity Engineering at Auburn. Research spans smart cities, connected vehicles, and secure SDN architectures.
Tobias Distlerمشاهده پروفایل
دانشیار
Tobias Distler is an Associate Professor (Privatdozent) at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He leads research in resource-efficient fault tolerance, energy-aware systems, and distributed coordination. His work focuses on Byzantine fault tolerance, cloud computing, real-time systems, and embedded systems resilience. Research Projects: REFIT (Resource-efficient Fault and Intrusion Tolerance) EDC (Efficient Distributed Coordination) E³ (Energy-aware Execution Environments) TClouds (Trustworthy Clouds) Research Interests: His expertise spans distributed systems, fault-tolerant replication, energy-efficient computing, real-time systems analysis, and secure cloud infrastructure. He emphasizes practical system design with rigorous theoretical foundations. Publications: Over 100 peer-reviewed papers in top venues like Middleware, EuroSys, DSN, and ECRTS. Notable contributions include Egalitarian BFT, Strome (energy-aware stream processing), and TinyBFT for embedded systems. Awards: SIGACT Research Highlights Nomination (2024) FAU Teaching Award for Junior Researchers (2021) IBM Ph.D. Fellowship (2012-2013) Professional Activities: Served on program committees for Middleware, EuroSys, DSN, and IEEE Transactions. Chair of Artifact Evaluation for Middleware '20. Founded the BCRB workshop on Byzantine consensus and blockchains. Education: Habilitation (2021) and Ph.D. (2014) from FAU, focusing on resource-aware system software for replicated services. Advisor to numerous graduate students in distributed systems research.
Chantal Taconet is a Lecturer at Telecom SudParis, part of the SAMOVAR research institute. Her work focuses on middleware systems for the Internet of Things (IoT), context-aware computing, energy efficiency, and blockchain applications in supply chains. She has co-authored over 20 peer-reviewed articles and conference papers since 2008, addressing IoT middleware design, QoC management, and middleware for cloud-IoT integration. Her research spans IoT middleware architectures (e.g., IoTVar framework), energy-efficient IoT protocols, and blockchain-based supply chain traceability. She contributed to the ANR INCOME project on multi-scale context management, emphasizing model-driven engineering and distributed system frameworks. Taconet has organized workshops like M4IoT and co-edited special issues on IoT middleware in Annals of Telecommunications . Key technical areas include semantic-based discovery services, fog computing integration for sensor networks, and trust models for IoT systems. Her work bridges theoretical middleware design with practical implementations for IoT applications.
Emad Ghoshehمشاهده پروفایل
عضو هیئت علمی
Emad Ghosheh is an Adjunct Lecturer in the Department of Computer Science within the College of Arts & Sciences at Chicago State University. He contributes to the development of future technologists through teaching software engineering and exploring cutting-edge technologies. Education: Ph.D., University of Westminster, London, UK EMBA, ESCP Europe, Paris, France M.S., University of Missouri, Columbia, USA B.Sc., King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia His research focuses on enhancing software engineering education and advancing emerging technologies such as Artificial Intelligence, Machine Learning, Augmented Reality, Blockchain, and Internet of Things . He emphasizes improving software maintainability through UML design metrics, particularly for web applications. His work bridges academic research with industrial applicability in software quality assessment. The publications reflect a strong focus on software design metrics and maintainability in web applications from 2006 to 2010. Key themes include UML modeling, empirical validation, and comparative analysis of maintainability models, showcasing a consistent research trajectory in software engineering and system design. Scientific Awards: No scientific awards listed in the provided text. Emad Ghosheh advises students in software engineering and related domains, though specific advisees are not named. He has not disclosed information about research grants or funding. He is involved in academic workshops and international seminars, including executive education programs at Cornell and Shanghai University, indicating engagement in global academic and professional development initiatives. No specific research labs or teams are mentioned in the text.
Professor Steve Counsell is a distinguished academic in the Department of Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. Holding a PhD from Birkbeck, University of London (2002), he previously served as a Lecturer at Birkbeck and brings industry development experience to his academic role. As a Fellow of the British Computer Society, his career bridges theoretical research and practical software engineering applications. PhD in Software Engineering from Birkbeck, University of London (2002) Former Lecturer at Birkbeck Department of Computer Science Industry software development experience prior to PhD Professor Counsell's research centers on empirical software engineering with particular focus on software metrics, refactoring techniques, code smells, fault analysis, and agile methodology implementation. His work consistently emphasizes industry collaboration, addressing real-world challenges faced by developers and project managers. A significant portion of his research investigates the relationship between software structure metrics and maintainability, with extensive studies on object-oriented systems evolution and web application engineering. Analysis of his recent publication trends reveals a sustained focus on empirical validation of software engineering practices, with increasing emphasis on industrial case studies and reproducibility of results. His work spans both theoretical metric development and practical application in commercial environments, particularly examining how structural code properties correlate with fault-proneness and maintenance effort. Fellow of the British Computer Society Professor Counsell actively supervises doctoral research, currently guiding three PhD students while having successfully completed nine PhD supervisions since 2004, all within software engineering and information systems domains. His research has attracted significant funding including EPSRC grants EP/E055141/1 (as Co-investigator studying program slicing and faults), EP/H019685/1 (with Moorfields Eye Hospital on glaucoma data analysis), and current project EP/L011751/1 exploring fault prediction techniques in collaboration with industry partners. His research activities are coordinated through the CIDA research group at Brunel, where he maintains strong collaborations with industry partners to ensure practical relevance of his empirical studies. Current projects focus on analyzing industrial fault data to determine which prediction techniques provide the most accurate explanations of software faults in real-world systems.
Mahdi Fahmidehمشاهده پروفایل
دانشیار
- Cyber Security
- Information Systems
- Trustworthy AI
- +۷ مورد دیگر
Mahdi Fahmideh is an Associate Professor in Cyber Security at the School of Business, University of Southern Queensland (UniSQ), Australia. He holds a PhD in Information Systems from the University of New South Wales (UNSW) and MSc/BSc in Software Engineering from Azad University, Iran. His research focuses on Cyber Security, AI Ethics, Blockchain, and IoT, with a track record of securing ARC grants and international visiting fellowships. He has published in top-tier journals like European Journal of Information Systems (EJIS), IEEE Transactions on Software Engineering (TSE), and ACM Computing Surveys (CSUR). His career includes roles as Senior Lecturer at UniSQ, Lecturer at the University of Wollongong, and Postdoctoral Researcher at UTS. Awards include a Best Paper Award (2018) and multiple research excellence recognitions. He teaches courses in Cyber Security, Data Mining, and Information Assurance. His grants include ARC Linkage projects on Adversarial Machine Learning (AUS $445K) and Blockchain in Visual Arts (AUS $570K). Fahmideh’s recent work explores AI-Human collaboration (e.g., ChatGPT in software development) and trustworthy AI frameworks. He leads course development in Cyber Security and mentors students in HDR programs. His industry experience includes 8 years as an analyst programmer in software systems for publishing, insurance, and government sectors.
Frank Leymann is a Professor of Computer Science at the University of Stuttgart, where he serves as Director and Founder of the Institute of Architecture of Application Systems. His career spans academia and industry, including 20 years at IBM Germany as a Software Architect. Research Focus: Workflow Management, Service Computing, Cloud Computing, Quantum Computing, Pattern Languages, Digital Humanities. Standards: Co-author of BPEL, BPMN, WS-RF, TOSCA, Human Task specifications. His work on quantum computing emphasizes hybrid quantum-classical applications and practical integration challenges. He pioneered the OASIS cloud standard TOSCA and developed the open-source OpenTOSCA platform, which has over 1,000 downloads. Scientific awards include an Honorary Doctorate from the University of Crete (2015), IBM Distinguished Engineer (2000), and IBM Academy of Technology membership (1996). Google Scholar cites his work over 43,300 times (H-Index 89), ranking him among the world's top computer scientists.
Prof. Stefan Tai is a full professor and Chair of Information Systems Engineering at Technische Universität Berlin (Germany) since 2014. Previously, he held a full professorship at Karlsruhe Institute of Technology (KIT) and worked as a Research Staff Member at IBM's Thomas J. Watson Research Center. His research focuses on distributed systems, decentralized architectures, cloud service engineering, and privacy-preserving blockchain systems, emphasizing off-chain solutions and scalable technologies. Tai's work bridges academic research with industry applications, particularly in serverless computing, energy-efficient cloud-native systems, and blockchain-based solutions for supply chains and energy grids. He has authored numerous peer-reviewed publications in top-tier conferences and journals, including IEEE ICSA, Future Generation Computer Systems, and IEEE Blockchain. His contributions address challenges in software systems engineering, federated learning, and sustainable computing. Research Interests: Next-generation distributed software systems Decentralized architectures and blockchain systems Cloud and serverless computing Energy-efficient design Data management and privacy-preserving technologies Smart energy grids and IoT integration Key Publications Trends: Tai's recent work explores the intersection of blockchain and federated learning, serverless architectures for big data, and energy-efficient cloud-native applications. His 2025 paper introduced a framework for optimizing cloud-native energy efficiency, while 2024 contributions advanced verifiable decentralized systems and serverless data processing. Earlier research (2020–2021) focused on privacy in local energy grids and serverless computing scalability. Grants & Labs: While specific grants are not detailed, his leadership in TU Berlin's Information Systems Engineering group indicates involvement in EU-funded or industrial projects. Collaborations with institutions like TU Wien and KIT suggest multi-institutional efforts in distributed systems and blockchain. Labs/Teams: Leads the Information Systems Engineering research group at TU Berlin, focusing on software systems engineering, cloud architectures, and blockchain applications.