جست‌وجوی استاد و پژوهشگر

Samira Sadaouiمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۶ مورد دیگر

Dr. Samira Sadaoui is a Full Professor at the University of Regina's Department of Computer Science. She holds a PhD and MSc in Computer Science from the University of Nancy I, France. Her research is supported by NSERC and MITACS grants, focusing on artificial intelligence applications in real-world environments. Dr. Sadaoui's research spans: Adaptive machine learning systems for evolving data streams Fraud detection algorithms in financial and auction systems Evolutionary optimization methods for feature selection Dimensionality reduction techniques for high-dimensional data Reinforcement learning approaches for combinatorial problems Her recent publications demonstrate strong emphasis on: Concept drift detection in noisy environments (2022-2024) Evolutionary computation for feature engineering (2021-2023) Real-world applications in fraud detection and service monitoring (2017-2022) Teaching responsibilities include: CS115: Object-Oriented Design CS230: Fundamentals of Computer Science III CS372: Software Engineering Methodology CS476: Software Development Project CS872: Advanced Software Engineering

• Social Network Analysis
• Artificial Intelligence
• Knowledge Graphs
• +۴ مورد دیگر

Irene Kilanioti is a Teaching Professor at the National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering under the School of Electrical and Computer Engineering. She holds a Ph.D. in Computer Science from the University of Cyprus and has extensive experience as a PostDoc researcher at Ludwig-Maximilians-Universität München. Her career includes roles as an informatics teacher in Greece and Germany, software engineer at Vodafone, and teaching assistant in tertiary education. Dr. Kilanioti specializes in knowledge graphs, social media analytics, sustainable development goals, and AI-driven education technologies. Education: B.Sc. in Informatics and Telecommunications (NKUA), M.Sc. in Advanced Information Systems (NKUA with best student award), Ph.D. in Computer Science (University of Cyprus). She completed German teaching licensure studies at Friedrich-Alexander-Universität (Erlangen) and holds a translator’s diploma from the Institute of Linguists (London). Fluent in English and German, she is a member of the Cyprus Scientific and Technical Chamber. Research focuses on knowledge graph optimization, social media misinformation detection, and IoT applications in transportation. Notable achievements include the Best Paper Award at the 2022 IEEE International Conference on Knowledge Graphs and contributions to IEEE/UL Standard 2933™ for Clinical IoT Interoperability. She co-leads the EU-funded cHiPSet initiative for big data simulation and serves as an editor for Frontiers in Digital Education. Awards include a Greek State Scholarship Foundation PhD grant (2012-2015) and the Best Student Award for her M.Sc. Her work bridges technical innovation with societal impact, spanning education technology, healthcare IoT, and global sustainable development.

Katja Rogersمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Game Design
• Virtual Reality
• +۳ مورد دیگر

Katja Rogers is a former Researcher and External PhD Candidate at the Department of Media Informatics, Ulm University. She earned her M.Sc. in Computer Science from Ulm University, completing a semester abroad at National Taiwan University and her master’s thesis at the University of St Andrews as a visiting scholar. Her academic career included research visits at the University of Waterloo’s HCI Games Group and the University of St Andrews’ SACHI research group. She obtained her PhD in March 2020 and pursued further academic work in Canada. Education: M.Sc. in Computer Science, Ulm University Master’s thesis: Visiting scholar at University of St Andrews (SACHI group) Semester abroad: National Taiwan University Research Interests: Rogers focuses on Human-Computer Interaction (HCI), serious games, virtual reality, ubiquitous computing, and audio in games. Her work combines educational technology with user experience design, exploring topics like procedural content generation, player behavior analysis, and adaptive game systems. Teaching: She taught courses such as Serious Games, Ubiquitous Computing, Game Design and Development, and Web Engineering at Ulm University. She also led seminars on Research Trends in Media Informatics. Projects: Key contributions include the 2084 Safe New World pervasive game (presented at CHI Play 2016), Bool the Miner (a Boolean algebra educational game), and the P.I.A.N.O. interactive piano learning system. These projects highlight her expertise in game-based learning and interactive technologies. Advising & Grants: Supervised multiple student theses on topics like procedural content generation, game AI, and sustainable textile production games. Collaborated on projects funded by grants supporting HCI and educational tech initiatives. Labs/Teams: Affiliated with the Institute of Media Informatics and collaborated with external groups like the HCI Games Group (University of Waterloo) and SACHI (University of St Andrews).

Vincenzo Deufemiaمشاهده پروفایل

استاد

• Cybersecurity
• IoT Security
• Data Analytics
• +۷ مورد دیگر

Vincenzo Deufemia is a Full Professor at the Department of Computer Science of the University of Salerno . His work focuses on cybersecurity, IoT security, data analytics, machine learning, and end-user development in smart environments. He has been actively involved in interdisciplinary research spanning database systems, human-computer interaction, and ethical AI applications. Key research interests include: Automation rule security and coherence Unsupervised learning for IoT interference detection End-user customization of smart systems Functional dependency discovery in data streams Social media analysis for geopolitical perception studies Recent work has explored leveraging generative AI for ethical phishing defense mechanisms and developing tools like EFESTO-5W for non-expert security rule specification. His contributions also include visualization frameworks for dependency analysis and spatial integrity constraints verification. No formal awards are explicitly listed in the provided material, though his extensive publication record indicates significant contributions. His research has practical applications in both academic and industrial contexts, particularly in improving end-user security awareness and system usability in smart environments.

Andrea Dettiمشاهده پروفایل

استاد

• Computer Networks
• Information-Centric Networking (ICN)
• Cloud Computing
• +۳ مورد دیگر

Andrea Detti is a Professor at the Department of Electronic Engineering, University of Rome Tor Vergata. His research focuses on computer networks, particularly Information-Centric Networking (ICN), Cloud Computing, and Software Defined Networks (SDN). He has coordinated major EU projects like Fed4IoT and BONVOYAGE, addressing IoT and Intelligent Transport Systems. He serves as Associate Editor for IEEE Transaction on Network and Service Management and has guest-edited special issues on ICN. His teaching includes courses on Internet Technologies, Mobile Wireless Networks, and Cloud Computing, emphasizing hands-on labs with Linux, Cisco routers, and OpenStack. Key projects include leadership roles in EU initiatives such as ICN2020, GreenICN (energy-efficient ICN), and OFELIA (ICN over SDN). He coordinates industrial projects with Telecom Italia and SSI/Finmeccanica on publish-subscribe paradigms in MANET and DTN. His research spans ICN scalability, adaptive video streaming, and satellite communication optimizations. Publications (80+) cover ICN architecture, SDN integration, and network performance modeling. He actively participates in conferences and standardization efforts, contributing to the evolution of future Internet architectures.

Paul Rohdeمشاهده پروفایل

پژوهشگر

• Human Development
• Families
• Parenting
• +۲ مورد دیگر

Paul Rohde is a PhD researcher in the Department of Media and Communications at the London School of Economics (LSE). His work bridges media psychology and behavioral science to address the intention-behavior gap in digital contexts, focusing on parental mediation and behavior change literacy. He holds a BA in Corporate Management and Economics from Zeppelin University (Germany) and an MA in Communication Studies (summa cum laude) from the Catholic University of Portugal, specializing in New Media and Internet. Professionally, Paul has served as a change management consultant for DAX30 corporations like BMW, a data analyst for non-profits such as Save the Children, and a certified positive psychology coach. His research is supervised by Professors Ellen Helsper and Dario Krpan. Supported by the German Academic Scholarship Foundation, his work emphasizes practical interventions to empower families in navigating digital spaces. Research Interests: Human Development in Digital Environments Parenting Strategies in the Age of Social Media Ethical Implications of Influencer Marketing Behavior Change Literacy as a Framework for Interventions Notable Articles: Focus on digital media's societal impact, including light therapy for mental health, ethical issues in influencer marketing, and the psychological dynamics of video game streaming communities.

• Data Analytics
• Distributed Systems
• Query Optimization
• +۵ مورد دیگر

Jorge-Arnulfo Quiané-Ruiz is a researcher at Qatar Computing Research Institute , with affiliations at institutions like Technical University of Berlin and University of Nantes (PhD, 2008). His work focuses on data analytics , distributed systems , and query optimization , particularly in cross-platform environments and trusted execution frameworks . Research Interests : Data analytics across heterogeneous platforms Secure and compliant data processing in trusted environments Efficient query allocation and optimization Scalable algorithms for big data and streaming graphs Machine learning in data management Table extraction and data cleaning Publications : Recent work includes benchmarks for TEE-based joins and cross-database query frameworks (2023). Explores space-efficient graph algorithms and ML-driven revenue optimization (2022). Developed RHEEMix , a cost-based optimizer for cross-platform systems (2018). Collaborations : Regularly partners with Volker Markl and Zoi Kaoudi on unified analytics frameworks. Contributed to projects like Apache Wayang and AgoRA .

• Database Systems
• Storage Systems
• Hardware Acceleration
• +۳ مورد دیگر

Alberto Lerner is a Senior Researcher at the Department of Informatics within the Interfaculty Informatics Department at the University of Fribourg. His research focuses on advancing database systems, storage architectures, and hardware-software co-design. He holds a strong interest in computational storage, network-accelerated query processing, and the integration of modern hardware technologies like CXL into database engines. Lerner's work emphasizes performance optimization and scalable solutions in data-intensive computing environments. His research interests include database architecture, storage co-design, hardware acceleration, and network-driven computing. Recent publications highlight innovations in point cloud data processing, reprogrammable storage devices, and software-defined controllers for NAND flash systems. Lerner's articles reflect a trend toward leveraging modern hardware advancements to enhance database and storage performance. He has contributed to frameworks like BABOL and Data Pipes, advancing declarative control over data movement and network-based graph mining.

Matt Jonesمشاهده پروفایل

استاد

• Human Learning
• Computational Modeling
• Reinforcement Learning
• +۵ مورد دیگر

Matt Jones is a Professor in the Department of Cognitive Psychology and Neuroscience at the University of Colorado, affiliated with the Institute of Cognitive Science. He holds a PhD from the University of Michigan (2003). His research focuses on human learning mechanisms, computational modeling of cognitive processes, and applications in clinical and occupational settings. Key interests include reinforcement learning, perceptual knowledge, and the development of algorithms inspired by human cognition. His work spans interdisciplinary domains such as neurocognitive interventions for irritability, safety in construction via VR/AR technologies, and robust machine learning systems. Notable areas of exploration include Bayesian methods for online learning, neuroplasticity in behavioral therapy, and the dynamics of pain perception. Recent publications highlight contributions to algorithmic robustness, human-AI interaction, and computational psychiatry. His lab investigates how temporal structure influences learning and applies these insights to improve training protocols and clinical outcomes. No scientific awards are explicitly listed, though his work includes collaborations on grants related to cognitive modeling and safety engineering. Matt leads the Jones Laboratory, focusing on bridging theoretical models with practical applications in education, healthcare, and occupational safety. His research integrates behavioral experiments with advanced computational techniques, emphasizing translational impact across disciplines.

Umar Razaمشاهده پروفایل

مدرس ارشد

• Internet of Things
• Machine Learning
• Wireless Sensor Networks
• +۹ مورد دیگر

Dr. Umar Raza serves as a Senior Lecturer in Networking, IoT and Smart Systems at Manchester Metropolitan University's Department of Engineering, where he concurrently manages the Cisco Network Academy. His academic career includes prior lecturing roles in Robotics and Computing at Staffordshire University, with research spanning industrial applications of emerging technologies. His educational credentials include a PhD in Wireless Sensor Networks from the University of Bradford (2014), Postgraduate Certificates in Research Methods and Professional Higher Education from Staffordshire University (2005, 2007), an MSc in Electronics and Computer Systems from Huddersfield University (1995), and a BSc in Engineering Electronics from DeMontfort University Leicester. Dr. Raza's research centers on Internet of Things applications integrated with Machine Learning across industrial, agricultural, and healthcare domains. Current projects address IoT/ML solutions for domicile care monitoring, cognitive impairment assistance, natural disaster early warning systems, and smart farming in Pakistan, with emphasis on practical implementations in real-world environments. His recent publications demonstrate a pronounced interdisciplinary trajectory, particularly at the IoT-Machine Learning nexus for healthcare innovation (cardiac diagnostics, autism support wearables) and agricultural technology. Significant contributions also appear in blockchain scalability, vehicular network security, and 5G propagation modeling, reflecting both theoretical rigor and industry-relevant problem solving. Professional recognition includes: Fellow of the Higher Education Academy (FHEA) Dr. Raza actively supervises two MSc and two PhD candidates while leading multiple funded projects: Principal Investigator for KTP projects with Kindus Solutions (completed) and Trumeter Ltd Project Advisor for KTP with RAIT Ltd Lead researcher on NATO Science for Peace Security grant for natural disaster warning systems Principal Investigator for Ignite National Technology Fund smart farming initiative in Pakistan As Cisco Network Academy Manager, he drives industry-academia collaboration in networking education, developing curricula that integrate cutting-edge IoT and cybersecurity concepts while maintaining strong professional engagement through IEEE, IET, and BCS memberships.

Chatziantoniou Damianosمشاهده پروفایل

استاد

• Big Data Systems
• Business Intelligence
• Large-Scale Analytics
• +۵ مورد دیگر

Professor Chatziantoniou Damianos holds a position at the Athens University of Economics and Business (AUEB) within the Department of Management Science and Technology (DMST), School of Business. He earned a B.Sc. in Applied Mathematics from the National & Kapodistrian University of Athens (1991), M.Sc. from New York University's Courant Institute of Mathematical Sciences, and a Ph.D. from Columbia University. His research focuses on big data systems, business intelligence, query processing, and real-time data analysis, with contributions influencing commercial database systems like Microsoft SQL Server and Oracle. As Director of AUEB's Master’s program in Business Analytics and Big Data, he previously served as an Assistant Professor at Stevens Institute of Technology (1997–1999). His industry collaborations include co-founding Panakea Software and VoiceWeb SA, and consulting roles at Aster Data Systems (now Teradata). He leads big data projects for companies like Cosmote, Piraeus Bank, and HEDNO. His research has been published in top venues including VLDB, ICDE, and SIGMOD, emphasizing practical applications in large-scale analytics and OLAP systems. He advises on strategic partnerships for the MSc program and maintains an active role in academic administration, including steering committees and quality assurance initiatives.

• Continual Learning
• Few-Shot Learning
• Domain Adaptation
• +۷ مورد دیگر

Mahardhika Pratama is a Professor in the Department of Computer Science at Universitas Indonesia's Faculty of Computer Science, where he leads research in machine learning and artificial intelligence. His work bridges theoretical advancements with practical applications across various domains including time series analysis, autonomous systems, and resource-constrained environments. Pratama's research focuses on overcoming fundamental challenges in machine learning systems, particularly in the areas of continual learning and few-shot learning. His work addresses the critical problem of catastrophic forgetting in neural networks while developing efficient learning systems that can adapt to new tasks with minimal data. His publications reveal a strong emphasis on developing practical solutions for real-world applications where data is scarce or constantly evolving. Analysis of his recent publications (2023-2025) shows a clear research trajectory toward more sophisticated approaches for continual learning under data scarcity, with increasing focus on transformer architectures, multi-agent reinforcement learning, and cross-domain adaptation techniques. His work demonstrates a consistent pattern of addressing both theoretical foundations and practical implementations of adaptive learning systems. His research has been supported through numerous collaborative projects with international institutions including UNSW Canberra, Swinburne University of Technology, and University of Alberta, reflecting the global impact of his work in the machine learning community.

Garofalakis Minosمشاهده پروفایل

استاد

• Database Systems
• Data Streams
• Big Data Analytics
• +۷ مورد دیگر

Minos Garofalakis is a Professor of Computer Science at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), where he directs the Software Technology and Network Applications Laboratory (SoftNet). He is also the Director of the Information Management Systems Institute (IMSI) at the Athena Research and Innovation Centre in Athens. Previously, he held roles at Yahoo! Research, Intel Research Berkeley, and Bell Laboratories, and was an Adjunct Associate Professor at UC Berkeley. Education: He earned a BSc in Computer Engineering from the University of Patras (1992), followed by MSc (1994) and PhD (1998) in Computer Science from the University of Wisconsin-Madison. Research Interests: His work focuses on Big Data analytics , including database systems, data streams, approximate query processing, probabilistic databases, and secure/private data analytics. Key areas include distributed stream processing, data synopses, and machine learning applications. He has authored over 150 papers and holds 29 patents, with an h-index of 63 and 13,500+ citations. Recent Work Trends: His recent articles emphasize scalable stream analytics (e.g., OmniSketch), privacy-preserving techniques, and distributed event processing. He explores challenges in handling high-velocity data streams, uncertainty in databases, and real-world applications like healthcare analytics. Scientific Awards: ACM Fellow (2018), IEEE Fellow (2017), TUC Excellence Award (2015), and multiple patents from Bell Labs/Yahoo/AT&T. Advising & Grants: He led EU projects such as FERARI, LEADS, and The Human Brain Project. His lab, SoftNet, develops tools for extreme-scale analytics and declarative networking. Current work includes interactive cross-platform analytics (Infore) and AI-driven medical data systems. Labs/Teams: Director of SoftNet Lab and IMSI. Collaborates with industry partners on distributed systems and privacy-preserving technologies.

• Additive Manufacturing
• Materials Science
• Tool Steel Processing
• +۳ مورد دیگر

Aziz Huskic is a Professor at FH Wels University of Applied Sciences, affiliated with the Center of Excellence Automotive/Mobility and the Center of Excellence for Smart Production. His research focuses on additive manufacturing processes, tool steel processing, and advanced manufacturing technologies. He leads several interdisciplinary projects such as the ReBi initiative for resource-efficient component innovations and the long-running 'Galling beim Umformen II' project. Affiliations: Research Center Wels, FH Wels University of Applied Sciences Key Roles: Principal Investigator (PI) on multiple research projects, academic leadership in manufacturing innovation His research interests include optimizing additive manufacturing techniques like selective laser melting and laser powder bed fusion, with emphasis on material properties and process parameters. He has presented at international conferences on topics such as hybrid forging dies and machine learning in manufacturing. Recent work highlights the application of machine learning for process optimization and the development of conformal cooling channels in additive-manufactured tooling. His projects often bridge academic research with industrial applications in automotive and smart production sectors.

Anca Muschollمشاهده پروفایل

استاد

• Foundations of Formal Verification
• Automata Theory
• Logics and Games
• +۲ مورد دیگر

Anca Muscholl is a Professor at the University of Bordeaux and holds the Hans Fischer Senior Fellowship at the Technical University of Munich (TUM-IAS). She leads the Formal Methods group at the Bordeaux Laboratory for Computer Science Research (LABRI). Her research focuses on foundational aspects of formal verification, automata theory, logics, concurrent systems, and database foundations. She has held academic positions at the University of Paris 7 and has been recognized with prestigious awards, including the Silver Medal from CNRS (2010) and membership in the Institut Universitaire de France (2007–2012). Education: Master’s from Technical University of Munich (TUM), PhD from University of Stuttgart (1994), and habilitation at the same institution. She has contributed to editorial roles for journals like Information Processing Letters and Discrete Mathematics & Theoretical Computer Science , and serves on the council of the European Association for Theoretical Computer Science (EATCS). Her work emphasizes automated controller synthesis for distributed systems and formal methods in concurrency. Notable achievements include advancements in distributed synthesis, temporal logic, and verification of reactive systems. She actively participates in organizing major conferences like ICALP and steering committees for theoretical computer science initiatives. Awards: Silver Medal (CNRS 2010), Junior Member of IUF (2007–2012), Best Paper Awards (PODS 2006, ETAPS 2001). Professional Roles: Editor for TheoretiCS , member of EATCS council, and leader of the Formal Methods group at LABRI. Research Themes: Formal verification, automata theory, concurrency, distributed systems, database logics.