Find Academic Supervisors

Zhiyuan ChenView profile

Professor

• Data Science
• Big Data
• Privacy Preserving Data Mining
• +5 more

Zhiyuan Chen is a Professor and Chair of the Information Systems Department at the University of Maryland Baltimore County (UMBC). He holds a PhD in Computer Science from Cornell University, with prior work experience including a postdoc at Microsoft Research and research roles at AT&T and IBM. His research focuses on data privacy, adversarial machine learning, database systems, and semantic web technologies. Education: - PhD in Computer Science, Cornell University (2002) - MS and BS in Computer Science, Fudan University, China (1995-1997) Research Interests: - Privacy-preserving data mining and security - Adversarial learning and cybersecurity defenses - RDF triple stores and semantic data integration - Database query optimization and compression techniques Grants & Collaborations: - Principal Investigator on a $1.2M ONR grant (2018-2021) for secure federated data sharing - Collaborations with US Naval Academy on Rya triple-store enhancements Teaching: - Courses include Advanced Database Projects (IS 620), Database Management Systems (IS 633), and specialized topics in XML/Privacy Key Projects: - Developed MITRE-funded anonymization techniques for network traces - Designed a situation-aware access control framework for coalition environments - Led NSF-funded work on privacy-preserving classification methods

Hallgeir NilsenView profile

Senior Lecturer

• Educational Technology
• Information Systems Education
• Computer Science Pedagogy
• +4 more

Hallgeir Nilsen is a Senior Lecturer in the Department of Information Systems at the University of Agder, Norway. His research focuses on educational technology, information systems pedagogy, and user-centered IT solutions. He has extensively studied personalized instruction methods in programming education, student motivation in IT studies, and the application of ICT in healthcare services. Nilsen has collaborated with researchers like Sandeep Purao and Maung Sein on projects addressing user support systems and IT strategy implementation. His work bridges theoretical frameworks with practical educational challenges, emphasizing action research methodologies. Key research areas include: Personalized learning strategies in computer science education ICT adoption in healthcare and home care services Student retention and motivation in IT programs XML and database technologies in business education Publications span journals like IEEE Transactions on Education and conferences such as NOKOBIT, with a focus on improving pedagogical practices and understanding user needs in IT systems.

• Software Engineering
• Software Documentation
• Software Maintenance
• +3 more

Seham Alharbi is a Research Student in the Department of Computer Science at the University of York, affiliated with the Automated Software Engineering research group. Her academic background includes an MSc in Software Systems and Internet Technology from the University of Sheffield (UK) and a BSc in Information Technology from Qassim University (Saudi Arabia). Prior to her research, she held a Lecturer position at Qassim University (2020-2021) and served as a Teaching Assistant there from 2013 to 2017. Her research interests focus on improving software documentation and maintenance through advancements in API code example design and program comprehension. This includes investigating how source code linearity impacts developer understanding of API examples, developing automated tools for generating maintainable API documentation, and exploring XML database architectures for engineering education systems. Alharbi's work bridges software engineering practices with human-centric design principles, aiming to enhance developer productivity and software sustainability. She collaborates within the Automated Software Engineering group at York, contributing to projects that address real-world challenges in software development and education infrastructure.

• Formal Methods
• Automata Theory
• Temporal Logic
• +5 more

Daniel Neider is a Professor at TU Dortmund University, Germany. He holds former affiliations with Carl von Ossietzky University Oldenburg and the Max Planck Institute for Software Systems (Kaiserslautern). His research focuses on formal methods, automata theory, temporal logic, and their applications in verification, AI, and machine learning. Neider earned his PhD in 2014 from RWTH Aachen University and a second PhD in 2022 from Kaiserslautern University. His work bridges theoretical foundations with practical tools, such as developing algorithms for automata learning, robust temporal logics (rLTL), and neuro-symbolic verification frameworks for deep neural networks. Key research areas include: (1) learning-based formal methods for system verification, (2) robust temporal logics for handling noisy environments, (3) reinforcement learning with temporal logic constraints, and (4) automated specification mining from data. He has contributed to tools like libALF (Automata Learning Framework) and Sorcar for property-driven invariant synthesis. His recent work explores: (a) scalable LTL learning from noisy data using MaxSAT, (b) neuro-symbolic verification techniques, and (c) applying large language models to automate reinforcement learning with reward machines. He has published over 135 papers in top venues like AAAI, TACAS, and FMCAD, focusing on formal methods intersections with AI and systems verification. Current projects involve: (i) robustness-aware synthesis for reactive systems, (ii) temporal logic inference from positive examples, and (iii) developing interpretable verification tools for complex operational domains. His lab collaborates on applying formal methods to real-world systems like smart contracts and neural networks.

Edzard HöfigView profile

Professor

• Internet of Things (IoT)
• Sensor Networks
• Sensor Fusion
• +7 more

Prof. Edzard Höfig is a Professor in the Department of Computer Science and Media at Berlin School of Economics and Management. He holds a Dr.-Ing. (PhD) from TU Berlin (2011) and a diploma in computer science from TU Berlin (2003). His research focuses on IoT, sensor networks, data lineage, and trustworthiness of open data. He has organized and spoken at international conferences such as the International Open Data Dialog (2012) and presented at venues like Universitat Pompeu Fabra (2013). His work spans autonomic systems, network management, and metadata quality assessment. Höfig advises students on topics including generative design and sensor fusion. He is also involved in curriculum development, including courses like 'Seminar on OO-Design & UML.' Education: TU Berlin (PhD 2011, Diploma 2003) Key Research Areas: IoT, Open Data Trustworthiness, Autonomic Systems Key Contributions: Metadata Quality Frameworks, Network Behavior Modeling His recent publications address challenges in data visualization, network traffic analysis, and open government data quality. He actively participates in interdisciplinary initiatives like Berlin's Open Data Strategy, exploring legal and technical aspects of open data implementation.

Günther NeherView profile

Professor

• Web Technology
• Semantic Web/Linked Data
• XML
• +5 more

Prof. Günther Neher is a Professor of Web Technology and Semantic Web Applications at the Department of Information Science, Potsdam University of Applied Sciences (Fachhochschule Potsdam). He holds a permanent academic position since 2010 and previously served in a limited-term role under the Brandenburg overload program. His primary roles include Deputy Dean of the Department and membership in the Audit Committee. His research focuses on web-based systems, semantic technologies, and data management. Education: Doctorate in Chemistry (1994), Free University of Berlin Physics studies with specialization in laser physics and numerical mathematics (1984–1990), Ludwig-Maximilians-Universität München Art studies at École des Beaux Arts Paris and Academy of Arts Munich (1982–1986) Research Interests: Web technology, semantic web applications, XML, automated text mining, and long-term data archiving. His work emphasizes practical applications in library systems, geoscience data, and interdisciplinary collaborations. Recent projects include semantic networking of research data and ontology merging in geosciences. Advising and Collaboration: Supervised over 30 theses on topics like semantic annotation, database archiving, and knowledge management wikis. Collaborated with organizations including Siemens AG, GeoForschungsZentrum Potsdam, and the Federal Institute for Risk Assessment (BfR-ZEBET). Labs/Teams: Engaged in cross-departmental projects with the GeoForschungsZentrum Potsdam, focusing on geoscientific data infrastructure and linked data applications.

• Databases
• Web-based information systems
• Semi-structured data
• +4 more

Vassalos Vasilios is an Associate Professor at the Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). He holds a Diploma in Electrical Engineering from NTUA (1994), an M.Sc. in Computer Science from Stanford University (1998), and a Ph.D. in Computer Science from Stanford University (2000). His research focuses on databases, web-based information systems, and semi-structured data processing. His work specifically addresses integrated search algorithms in autonomous, heterogeneous information sources with emphasis on semi-structured data (particularly XML), the extension of database technologies to the World Wide Web, integration of web services, and peer-to-peer data processing. His recent publications demonstrate expertise in sensor network data analysis, query optimization techniques, peer-to-peer network analysis, view-based query answering, and XML query processing. His work shows a consistent thread of improving data integration and query performance across heterogeneous systems. Dr. Vassalos has participated in significant research projects including the PENED 2003 program, PYTHAGORAS II program, and Marie Curie Outgoing International Fellowship. His applied work extends to technological entrepreneurship as the founder and CTO of Enosys Software, Inc., which developed platforms for querying and integrating heterogeneous information sources. Member of the Board of Directors of the Information Society Observatory Member of the Special Scientific Committee of the Hellenic Council for Electronic Governance Member of the W3C Advisory Board (2000-2003) Member of the W3C XML Query Working Group (2000-2003) He serves on program committees of major international conferences including ACM SIGMOD, VLDB, and ICDE, and reviews for leading journals such as ACM Transactions on Databases and IEEE Transactions on Knowledge and Data Engineering.

Andreas ZellerView profile

Professor

• Software Testing
• Automated Debugging
• Fuzzing
• +5 more

Andreas Zeller is a Professor at Saarland University and leads the Software Analysis and Testing Group at CISPA Helmholtz Center for Information Security. His research focuses on automated software testing, debugging, and security, with a strong emphasis on fuzzing techniques. He holds an ERC Advanced Grant for his 'Semantics of Software Systems' (S3) project, which explores massive test generation and oracle mechanisms. Zeller is renowned for his open-access books The Fuzzing Book and The Debugging Book , which provide interactive tools for learning and applying testing and debugging methods. His work includes developing the Fandango fuzzer, which combines grammars, constraints, and evolutionary algorithms for effective test generation. Zeller advises a group of over ten PhD students and collaborates internationally on cutting-edge research. In 2025, he received the ACM SIGSOFT Influential Educator Award for contributions to automated software engineering education. His research also extends to start-ups like InputLab GmbH, focused on synthesizing test data for enterprise applications. Recent projects include GDBMiner for input grammar extraction and Information Flow Fuzzing for detecting security leaks. Zeller actively participates in conferences like ICSE, FSE, and AST, delivering keynotes and organizing sessions on the future of software engineering.

• Civil Engineering
• Structural Analysis
• Building Information Modeling (BIM)
• +3 more

Prof. Cosmas Tzavelis is a Professor and George Fox Chair of Civil Engineering at The Cooper Union's Albert Nerken School of Engineering. His academic roles include teaching core structural analysis and design courses, advising the ASCE student club, and consulting on BIM and structural steel design. He holds a Ph.D. from Columbia University in Civil Engineering and Engineering Mechanics, with a dissertation on seismic reliability of rigid frame structures. His research focuses on Information Management in Construction (BIM) , innovative bridge design , nature-inspired engineering , and biomechanical analysis of skeletal systems . Notable projects include rehabilitation of the Queensboro Bridge's lateral system and designing the University of West Indies' Day Center. He has been honored in Who’s Who Among American Teachers and won awards for future bridge design and aluminum partition systems. Recent publications emphasize BIM integration, XML-based engineering data systems, and advanced structural analysis techniques. His work bridges computational methods with practical civil engineering challenges, reflecting a commitment to both academic rigor and industry application. Education: Ph.D. in Civil Engineering & Engineering Mechanics (Columbia University) Professional Affiliations: Registered Professional Engineer (NY), ASCE advisor Key Projects: Queensboro Bridge rehabilitation, NYC bridge inspection guidelines, UWI campus design

Prakash RamananView profile

Professor

• Algorithms
• Database Systems
• Distributed Computing
• +3 more

Prakash Ramanan is a Professor at the School of Computing within the College of Engineering at Wichita State University. His research focuses on algorithms, distributed computing, database systems, and XML processing. He holds an office at 208 Jabara Hall on the university's main campus. His academic interests include parallel algorithms, MapReduce frameworks, computational complexity, and query processing in XML databases. His work spans theoretical algorithm analysis to practical implementations in distributed systems. Ramanan's publications emphasize algorithmic efficiency, lower bounds analysis, and optimization techniques. His recent work addresses MapReduce-based matrix multiplication and XPath query evaluation over XML streams. Earlier contributions include foundational studies on tree patterns, join operations, and parallel computing. No scientific awards or grants are explicitly listed in the provided information. He currently advises no listed students or supervisees. His research activities involve collaborations in distributed systems and database query optimization.

Craig KnucklesView profile

Professor

• Software engineering
• Database-driven web applications
• Linux system administration
• +3 more

Craig Knuckles is a Professor of Mathematics and Computer Science at Lake Forest College, serving as Chair of the Digital Media Design program. He holds a PhD in Mathematics from Louisiana State University, alongside MS and BS degrees from Tennessee Technological University. His expertise spans software engineering, database-driven web applications, Linux systems, and statistical computing. Research focuses on web technologies, internet architecture, and computational mathematics. He has authored books such as Web Applications (with Perl, JavaScript, PHP, ASP, SQL, XML) and Introduction to Interactive Programming on the Internet , and has presented at venues like the CCSCNE Conference and Chicago Data Processing Education Council. Recipient of the 2002 William L. Dunn Award for Teaching Excellence and 1994 LSU Teaching Excellence Award, Knuckles teaches courses ranging from introductory programming to advanced topics like topology and abstract algebra. His work emphasizes integrating technology into education and fostering net-centric curricula.

• Change Management
• Competence Management
• Knowledge Management
• +3 more

Markus Pichlmair serves as an External Lecturer in the Institute of Logic and Computation (E192) at the Faculty of Informatics, Technische Universität Wien. His research focuses on Change Management, Competence Management, Knowledge Management, Softskill Training, and Information Systems. He teaches courses such as Communication and Rhetoric, Communication and Rhetoric 2, and Softskills for Technicians. His academic contributions include developing ontology-based systems for HR management, evaluating competence management frameworks in universities and software projects, and creating competency tracking systems for students. Notably, he was awarded the TuTheTop HighPotential Program by TU Wien in 2007. Pichlmair has advised at least one graduate student, Michaela S. Heinisch, on optimizing software trainings for field staff. His work bridges academic research with practical applications in education and organizational development. Additional professional activities include psychotherapy and corporate training, as highlighted on his personal website.

Evgeny KharlamovView profile

Research Fellow

• Semantic Technologies
• Data Integration
• Big Data
• +3 more

Evgeny Kharlamov is a Senior Research Fellow at the Department of Computer Science, University of Oxford. His research focuses on semantic technologies, particularly addressing challenges in data integration and Big Data. He leads the EU-funded Optique project on scalable end-user access to Big Data, and has contributed to foundational data management projects like Webdam and ACSI. Education: PhD in Computer Science (2011) from the Free University of Bozen-Bolzano (FUB), with research conducted also at Télécom ParisTech. European M.Sc. in Computer Science (2006) from Dresden University of Technology and FUB. Alumni of Novosibirsk State University (Russia). Research interests include ontology evolution, knowledge representation, query answering over complex data models, and probabilistic data management. His work spans conferences like VLDB, ICDT, KR, and journals such as TODS and JCSS. Grants include EU projects Optique, Webdam, and ACSI. Collaborations with institutions like Inria Saclay (France), Edinburgh University, and Télécom ParisTech.

• Databases
• Programming Languages
• Query languages and data models
• +11 more

Peter Buneman is currently a Professor of Database Systems at the University of Edinburgh , affiliated with the School of Informatics and the Foundations of Computer Science Laboratory . Previously, he held a Professor of Computer Science position at the University of Pennsylvania from 1975 to 2001, progressing from assistant to full professor. Education: PhD in Mathematics (1970), University of Warwick (Supervisor: E.C. Zeeman) MA in Mathematics (1966), University of Cambridge Research Interests: His work spans databases (semistructured data, XML, data provenance, distributed databases), programming languages (type systems, functional languages, semantics), and interdisciplinary areas like mathematical phylogeny , neural models , and applications of computers in the humanities . He has also contributed to database interfaces, knowledge bases, and data modeling. Scientific Awards: Member of the Order of the British Empire (2013) Fellow of the Royal Society (2009) Fellow of the Royal Society of Edinburgh (2004) Royal Society Wolfson Research Merit Award (2002) ACM Fellow (1999) Multiple Test of Time Awards (SIGMOD, ICDT) Broadband Awards from Nextgen Challenge and European Commission Additional Roles: Served as Graduate Chairman at University of Pennsylvania (1981-1987) and held visiting research positions at INRIA (France), Kyoto University (Japan), and Imperial College London.

Vedat G. DikerView profile

Academic

• Modeling and Simulation
• Socio-economic Systems
• Social Media Impact
• +7 more

Vedat G. Diker is the Associate Dean for Academic Affairs at the College of Information Studies (iSchool) at the University of Maryland, College Park. He holds the rank of Principal Lecturer and serves as the Program Director for the M.S. in Human-Computer Interaction (HCIM). He earned his PhD from SUNY Albany and has a distinguished career in academia and research. His research focuses on modeling socio-economic systems, social impacts of information technologies, data science, and human-computer interaction. He leads the Campus Computation Center: Support, Enrichment & Computing Identity Development to Boost STEM Success project, aimed at enhancing STEM education through computational tools. Dr. Diker has taught numerous courses, including Database Design and Modeling , Managing with Data and Simulations , and Database Design . His teaching spans over two decades, emphasizing practical applications of information science principles. His publications explore system dynamics modeling, open online collaboration, and strategic decision support systems. Notable works include developing the XMILE XML standard for system dynamics models and frameworks for analyzing university management dynamics. He has advised students across various programs but maintains strict policies on reference letters, requiring direct supervision or exceptional academic performance for consideration.