جست‌وجوی استاد و پژوهشگر

Hamid Mukhtarمشاهده پروفایل

دانشیار

• Deep Learning
• Natural Language Processing
• Health Informatics
• +۷ مورد دیگر

Hamid Mukhtar is an Associate Professor in the School of Computer Science at the University of Birmingham, Dubai campus. His academic work spans research, teaching, and industry collaboration in computer science with a focus on intelligent systems and healthcare applications. His educational background includes: PhD in Computer Science, 2009 (National Institute for Telecommunications, France) MSc in Computer Science (French), 2006 MSc in Computer Science, 2005 BSc in Computer Science, 2003 Dr. Mukhtar's research interests center on deep learning, natural language processing, health informatics, and human behaviour modelling in pervasive environments . His work integrates machine learning with real-world applications in healthcare, wellness, and intelligent user interfaces. He has published extensively on topics including persuasive technology, IoT for health monitoring, and NLP for social and medical data. The recent trend in his publications shows a strong focus on applying AI to public health challenges—such as diabetes prediction, depression detection, and pandemic response—using data from electronic records, wearables, and social media. His interdisciplinary approach bridges computer science with healthcare and behavioral science. He actively supervises master's students and has engaged in industry collaborations and consultancy in data science, software usability, and mobile technologies. He also conducts professional workshops on NLP, Android development, and web technologies. Dr. Mukhtar has taught a wide range of computer science courses including operating systems, AI, NLP, databases, web engineering, and professional ethics.

Zheng Songمشاهده پروفایل

استادیار

• Distributed Systems
• Edge Computing
• Middleware
• +۷ مورد دیگر

Zheng Song is an Assistant Professor in the Department of Computer and Information Science at the University of Michigan–Dearborn College of Engineering and Computer Science . He holds two PhDs: one in Distributed Systems and Software Engineering from Virginia Tech (2020) and another in Wireless Networking and Mobile Computing from Beijing University of Posts and Telecommunications (2015). His research focuses on middleware solutions for edge computing , service-oriented architecture , and distributed systems . PhD, Virginia Tech (2020) PhD, Beijing University of Posts and Telecommunications (2015) MS, China Agricultural University (2009) BS, China Agricultural University (2007) Zheng's research spans edge computing , distributed systems , privacy-preserving algorithms , and computer science education . His work includes QoS-consistent edge services , microservice orchestration , and AI-driven birdwatching applications like Robin , which was featured in multiple 2025 publications. Recent publications highlight Zheng's expertise in machine learning (IEEE SMC'25), web service integration (Empirical Software Engineering, 2025), and edge computing frameworks (IEEE Edge'19 Best Paper, NSF CRII grant 2021). His 15 most recent works demonstrate leadership in QoI-aware systems , privacy , and innovative teaching methodologies . NSF CRII Research Grant (2021) Best Paper Award, IEEE Edge 2019 Distinguished Paper Award, IEEE ICDCS 2024 2nd Place, ACM Student Research Competition 2015 CECS Teaching Excellence Award 2025 Zheng mentors students in MQTT middleware , serverless computing , and generative AI in education . His Pervasive Computing Lab has produced impactful projects like Robin (Best Senior Design Project 2025) and Blaze (fire safety system). Former students have been admitted to Georgia Tech , University of British Columbia , and UM-Ann Arbor .

Tiark Rompfمشاهده پروفایل

دانشیار

• Programming Languages
• Compilers
• Software Engineering
• +۱۳ مورد دیگر

Tiark Rompf is an Associate Professor in the Department of Computer Science at Purdue University, where he has been a faculty member since Fall 2014. He is the founder and director of the Purdue Center for Programming Principles and Software Systems (PurPL), a research group focused on next-generation software systems that integrate data-driven algorithms, also known as "Software 2.0". His academic background includes a PhD from École Polytechnique Fédérale de Lausanne (EPFL), an MS from Universität zu Lübeck, and a BS from Universität Bremen, all in computer science. His research spans programming languages, compilers, systems, databases, machine learning, and AI. He is a leading figure in meta-programming, domain-specific languages (DSLs), and compiler design, particularly through his work on Lightweight Modular Staging (LMS). His interdisciplinary work bridges theory and practice, aiming to make high-level programming languages performant and scalable. The most recent publications highlight his focus on advanced type systems (e.g., reachability types), query languages (e.g., Flan, Rhyme), compiler IRs, and the integration of machine learning and data management systems. These works appear in top venues like POPL, OOPSLA, ICFP, SIGMOD, and ECOOP, indicating sustained influence and innovation in programming language research. Among his scientific contributions, he has no explicitly listed awards in the provided text, but his leadership in founding PurPL and his extensive publication record in premier conferences are significant recognitions of his impact. He advises a group of active researchers and students, many of whom are co-authors on his recent papers. His lab, PurPL, fosters collaborative research in programming principles and software systems, often involving meta-programming, differentiable programming, and system-level optimizations. He has led or co-led multiple collaborative projects, including work on Flare (a native compiler for Apache Spark), HACCLE (secure multi-party computation), and AutoGraph (imperative-style differentiable programming).

• Software Engineering
• Context-Aware Systems
• Public Health Informatics
• +۴ مورد دیگر

Ufuk Çelikkan is an Assistant Professor in the Department of Software Engineering at Izmir University of Economics since September 2008. He holds a Ph.D. and M.S. in Computer Science from North Carolina State University (1995, 1993) and a B.S. in Computer Science from Middle East Technical University (1988). Education : Ph.D., M.S. (NCSU), B.S. (METU) Experience : Researcher at Gemalto Inc. (2007-2008), Software Engineer at IBM (1995-2007), Research Assistant at NCSU and Bilkent University His research focuses on context-aware systems , service-oriented architecture , and IoT applications , often bridging software engineering with health informatics and retail technology . Recent work explores design pattern recommendations , encryption mechanisms , and academic-industry alignment in IT education. Key trends in his publications include context-aware system design , public health informatics , and authentication technologies . He has contributed to interdisciplinary projects involving medical education , laundry business automation , and supermarket behavior analysis .

Imre Gáborمشاهده پروفایل

عضو هیئت علمی

• Computer Science
• Software Engineering
• Web Application Performance
• +۴ مورد دیگر

Imre Gábor is an Assistant Lecturer at the Department of Automation and Applied Informatics within the Faculty of Electrical Engineering and Informatics at Budapest University of Technology and Economics (BME). He is affiliated with the Applied Computer Science Group , focusing on software engineering and system performance. Office: Q.B224, Magyar tudósok krt. 2., Budapest 1117, Hungary Email: Imre.Gabor@aut.bme.hu Phone: +36 (1) 463-2713 Fax: +36 (1) 463-2871 His research spans Java-based systems , XML serialization , web application performance , and cloud computing . Recent work analyses WebSocket benchmarking , EC2 scalability , and application server tuning . Publications in Computer Science and Software Engineering highlight his expertise in distributed systems , XML technology , and enterprise application performance . He contributes to the BME Publication Registry and collaborates via platforms like Google Scholar and ResearcherGate . He is associated with the Applied Computer Science Group , which investigates theoretical and applied challenges in modern software development and system optimization.

Stefan Geislerمشاهده پروفایل

استاد

• Human-Machine Interaction
• Natural User Interfaces
• Usability Engineering
• +۶ مورد دیگر

Stefan Geisler is a Professor at Ruhr West University of Applied Sciences since 2010. He holds the professorship for Applied Computer Science / Human-Machine Interaction and serves as Program Director for the Human-Technology Interaction program. Since 2016, he has led the Positive Computing Research Institute , contributes to the Intelligent Mobility research program , and directs the Media and Interaction Department in the North Rhine-Westphalian doctoral program. Research Focus: Human-Machine Interaction (HMI), Natural User Interfaces (NUI), Usability Engineering, Automotive HMI, and Intelligent Mobility. Projects: Golden Rules in Automotive HMI, PARCURA (smart glasses in hospitals), UsAHome (home HMI systems), BMBF-funded AHA project (safety-critical interfaces), and intercultural/intergenerational innovation development. Collaborations: FH Struktur, IQPC Conference, CAMO network, and North Rhine-Westphalian doctoral program. Teaching: Covers the entire usability engineering lifecycle, emphasizing user testing integration and intuitive interface design. Publication Trends: Focus on automotive HMI optimization, gesture-based interaction, user experience in mobility systems, and human-centered design for safety-critical applications. Subfields include driver assistance systems, natural user interfaces in automated vehicles, and usability testing methodologies. Leadership: Directs the Positive Computing Research Institute and the Media and Interaction Department. Supervises doctoral research in intercultural innovation and automotive NUI development.

Ruben Mayerمشاهده پروفایل

استاد

• Distributed Systems
• Decentralized Information Systems
• Data Management
• +۶ مورد دیگر

Prof. Dr. Ruben Mayer is a computer science professor and current head of the Chair of Data Systems at the University of Bayreuth (since March 2023). He also serves as a guest professor at the Technical University of Munich (TUM) . Prior roles include interim professorships at TUM Campus Heilbronn and TUM's Chair of Application and Middleware Systems, following postdoctoral research at TUM and University of Stuttgart. His research focuses on large-scale distributed data analytics systems , including complex event processing , graph processing , deep learning systems , and decentralized systems like blockchains and edge computing. Recent work emphasizes federated learning and graph neural networks , with interdisciplinary exploration of machine learning and law . ACM DEBS Grand Challenge Audience Award (2016, 2017) ACM DEBS Grand Challenge Performance Award (2016) He has served as reviewer for top conferences like NeurIPS and ICDE, and as Associate Editor for PVLDB Volume 19 (VLDB 2026). His teaching spans cloud databases , distributed systems , and blockchain technologies across multiple semesters at TUM.

Stefan Kuhlinsمشاهده پروفایل

استاد

• Business Informatics
• Information Technology
• E-commerce
• +۶ مورد دیگر

Prof. Dr. Stefan Kuhlins is a Professor of Business Informatics at Heilbronn University's Faculty of Economics. He specializes in Business Engineering Logistics and previously worked at the universities of Mannheim and Regensburg. His research focuses on E-commerce, XML technologies, and enterprise software integration. He also operates as a freelance business information technology specialist. Current: Professor at Heilbronn University (Faculty of Economics) Previous: University of Mannheim, University of Regensburg Specialization: Business Engineering Logistics (formerly Technical Logistics Management) Freelance: E-commerce and software projects Education : Graduate in Business Information Technology Research Interests : His work spans business informatics, information technology, and programming with particular emphasis on database systems, XML standards, and Robotic Process Automation (RPA). He has developed frameworks for enterprise application integration and explored wireless usability metrics through Java software agents. His publications reflect a strong focus on E-commerce systems, XML schema design, and software development methodologies. Publications Trends : His scholarly output from 1993-2018 covers XML technologies, Java applications in enterprise systems, simulation modeling for logistics, and web service integration. The articles demonstrate consistent engagement with software engineering challenges in E-commerce and enterprise contexts. Technical Leadership : Since 2014, he has served as Head of the Internship Office for Business Engineering Logistics (BEL) and Technical Logistics Management (TLM) programs at Heilbronn University. This administrative role complements his technical expertise in systems design. Programming Expertise : With deep knowledge of C++ standard libraries and Java technologies, he has contributed to areas like garbage collection, CORBA optimization, and multithreaded frameworks. His technical work spans from core programming challenges to enterprise-scale integration solutions.

• Database Systems
• Information Integration
• Service-Oriented Computing
• +۳ مورد دیگر

Michael Carey is a Professor specializing in database systems and distributed computing. His research focuses on database systems, information integration, service-oriented computing, middleware, and performance evaluation. He has contributed to projects like Apache AsterixDB, a scalable open-source database management system. Education: Ph.D. in Computer Science from UC Berkeley (1983), M.S. in Electrical Engineering (Computer Engineering) from Carnegie-Mellon University (1981), and B.S. in Electrical Engineering and Mathematics from Carnegie-Mellon University (1979). Research interests include next-generation databases, data mining, big data management, and declarative data processing. His recent work emphasizes optimizing big active data systems, memory management in join queries, and scalable NoSQL benchmarks. Notable projects include SQL++ language enhancements and the CH3 benchmark for NoSQL systems. He has received the 2016 IEEE TCDE Impact Award for contributions to data engineering. His grants include NSF-funded projects on big data systems and collaborative research in scalable analytics. Key contributions include Apache AsterixDB, a community-driven platform for big data research, and frameworks for large-scale machine learning integration with databases. His work bridges theory and practice, addressing challenges in distributed systems and real-time data processing.

Francisco Mouraمشاهده پروفایل

دانشیار

• Systems Software
• Distributed Systems
• Operating Systems
• +۵ مورد دیگر

Francisco Moura is an Associate Professor at the University of Minho, affiliated with HASLab/INESC TEC. His research focuses on Systems Software, including compiler design, operating systems, middleware, and performance optimization. He co-founded Eurotux SA, specializing in open-source software and cloud-based systems. His work emphasizes the interplay between performance metrics (efficiency, availability) and software system architecture. Research interests span distributed systems, database replication protocols, and mobile agent architectures. Notable contributions include studies on partial replication in databases, fault-tolerant group communication systems, and optimizing transaction processing in wide-area networks. Publications highlight practical applications of theoretical models, validated via network simulators and real-world benchmarks. Publications (2001–2006) address challenges in distributed computing, from mobile agent frameworks for virtual enterprises to latency-reduction techniques in WANs. No scientific awards listed, but active in industry-academia collaborations through Eurotux SA. Advising activities are unspecified in available texts. His work is anchored in HASLab/INESC TEC, a leading center for high-assurance software research.

Ricardo Gonçalves Macedoمشاهده پروفایل

استادیار

• Storage Systems
• Operating Systems
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Ricardo Gonçalves Macedo is an Invited Assistant Professor at the University of Minho and a Researcher at INESC TEC's Distributed Storage Research (DSR) team since 2016. He holds a PhD in Computer Science (2023) from the MAP-i program at Universities of Minho, Aveiro, and Porto, focusing on user-level software-defined storage data planes. His research emphasizes storage systems and operating systems, addressing performance, reliability, and energy efficiency in large-scale I/O infrastructures. Key areas include kernel-bypass storage stacks, disaggregated resources, and HPC storage challenges. Recent work includes tools like LAZYFS for fault injection and PADLL for metadata QoS control. He leads projects like DisaggregatedHPC (energy-efficient resource disaggregation) and CDMS (healthcare data management). Ricardo has supervised over 10 theses at the University of Minho and contributes to open-source projects in storage optimization. His work is published in top venues like VLDB, IEEE Cluster, and FAST.

• Computer Science
• Distributed Systems
• Blockchain Technology
• +۴ مورد دیگر

Pezhman Nasirifard is a researcher at the Technical University of Munich, specializing in distributed systems and blockchain technology. He earned his PhD from the same institution in 2023, focusing on reducing coordination in permissioned blockchains using Conflict-free Replicated Data Types (CRDTs). His work bridges computer science and energy systems, addressing challenges in blockchain scalability, distributed ledgers, and grid inference through crowdsourced data. Key contributions include the OrderlessChain framework, which eliminates global transaction ordering in blockchains, and the FabricCRDT approach for permissioned blockchain systems. He has also explored energy grid modeling using drone imagery and crowdsourcing, as well as serverless computing architectures. His publications span venues like Middleware, e-Energy, and IEEE Transactions, highlighting interdisciplinary research in distributed systems, blockchain applications, and energy infrastructure. Collaborations with co-authors like Hans-Arno Jacobsen and Ruben Mayer emphasize his engagement with cutting-edge technologies and distributed computing paradigms.

Bilgin AVENOĞLUمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Software Engineering
• Cloud Computing
• +۴ مورد دیگر

Dr. Bilgin AVENOĞLU is an Associate Professor at Ankara Üniversitesi's Faculty of Engineering, Department of Software Engineering (since 2022). Previously, he held full-time positions at TED Üniversitesi in similar roles. He holds a Ph.D. in Computer Systems from Orta Doğu Teknik Üniversitesi (2014), an MSc in Computer and Instructional Technology Education (2005), and a BSc in Computer Education (2001). Research Interests: Artificial Intelligence applications in pervasive computing Middleware systems and cloud-based frameworks Optimization algorithms for multi-dimensional problems Context-aware and workflow-based systems Recent Research Trends: Focuses on integrating physiological data with human-machine interfaces, developing robust optimization methods, and middleware solutions for multi-modal interactions. His work bridges software engineering with ambient intelligence and cloud computing. Awards: No awards explicitly listed, but active in TÜBİTAK-funded projects. Grants & Projects: Led a 2018-2022 TÜBİTAK/TÜBA project on physiological data infrastructure for human-machine applications. Collaborates with institutions like Orta Doğu Teknik Üniversitesi and İnönü Üniversitesi. Labs/Teams: No dedicated lab mentioned, but active in cross-institutional research collaborations.

Borja Sotomayorمشاهده پروفایل

استاد

• Computer Science Education
• Distributed Systems
• Resource Allocation
• +۳ مورد دیگر

Borja Sotomayor is a Senior Instructional Professor in the Department of Computer Science at the University of Chicago. He specializes in teaching introductory computer science, software development, and computer networks. His research focuses on resource allocation in distributed systems using virtualization and, more recently, on computer science education. He has published widely in these areas and contributed to projects like the chidb database system and the Haizea resource management framework. He is actively involved in campus activities, including advising student organizations and designing educational tools. Sotomayor holds a PhD from the University of Chicago (2010) and has authored books on the Globus Toolkit. He is also known for designing t-shirts and promoting STEM education through initiatives like the CRA Education Committee.

Maciej Bestaمشاهده پروفایل

پژوهشگر

• Sparse Graph Computations
• Large Language Models
• Graph Neural Networks
• +۷ مورد دیگر

Maciej Besta is a leading researcher at ETH Zurich's Institute for Computing Platforms, where he heads research initiatives at the Scalable Parallel Computing Lab (SPCL) and contributes to the ETH Future Computing Laboratory (EFCL). Working under the mentorship of Professor Torsten Hoefler, he has established himself as a prominent figure in high-performance computing, graph processing, and large language models. Position: Researcher at Institute for Computing Platforms, ETH Zurich Research Leadership: Head of Sparse Graph Computations and Large Language Models Research at SPCL Collaboration: Leads project management for SPCL's contributions to ETH Future Computing Laboratory Besta's research spans multiple abstraction levels, from hardware and network topologies to middleware, algorithms, and programming models. His primary focus areas include graph-enhanced language models, graph neural networks, graph databases, and sparse models, with applications across various computational settings. He approaches these problems through rigorous performance modeling and formal reasoning, emphasizing both scalability and practical implementation. His recent publications reveal a clear trend toward integrating graph structures with language models and AI systems. Besta has pioneered work on graph databases, knowledge graphs of thoughts, and higher-order graph neural networks, while maintaining his strong foundation in high-performance computing and network topology design. His research bridges traditional HPC with cutting-edge AI, creating novel approaches for efficient large-scale computation. IEEE TCSC Award for Excellence in Scalable Computing (Early Career, 2023) Multiple Best Paper Awards at Supercomputing conferences (2022, 2023) ACM SIGHPC Doctoral Dissertation Award (2022) ETH Medal for outstanding doctoral thesis (2021) Fellow of The Explorers Club (2022) Besta actively mentors ETH Zurich students through semester projects, Bachelor's, and Master's theses, focusing on graph processing and related computer science challenges. His mentorship extends beyond technical guidance, incorporating lessons from his extensive polar and mountaineering expeditions that emphasize mental resilience, efficient risk management, and leadership. He has supervised numerous student projects that have resulted in high-impact publications at top-tier conferences. As a core member of the Scalable Parallel Computing Lab, Besta collaborates with researchers across ETH Zurich and international institutions. His unique approach integrates insights from extreme environment expeditions into research methodology, creating a distinctive framework for tackling complex computational problems. The lab's work under his leadership spans theoretical modeling, practical implementation, and real-world deployment of high-performance systems.