Find Academic Supervisors

Lassi Saario-RamsayView profile

Researcher

• History of Philosophy
• Logic
• Medieval Studies
• +3 more

Lassi Saario-Ramsay is a doctoral researcher at the University of Helsinki's Faculty of Arts, Department of Philosophy, History and Art Studies. His research focuses on the historical development of the concept of logical consequence from the Late Middle Ages to the early 20th century. He teaches in the Bachelor’s Programme in Philosophy and is a member of the Helsinki Computational History Group (COMHIS). His work bridges medieval scholastic thought with modern analytical philosophy, leveraging computational methods to analyze historical texts. Research Interests: History of Logic and Philosophy Medieval Semantics and Scholastic Theology Philosophy of Language and Identity Computational Humanities Recent Activities: Presented at conferences including the European PhD Net in Philosophy and the Congress for Doctoral Researchers in Philosophy Visiting scholar at University of St Andrews (2023) and Radboud University (2025) Co-developed tools like XmlConverter and the Tagged Corpus of Early English Correspondence (TCEECE) Collaborations: Active in interdisciplinary projects combining historical analysis with digital methodologies, including corpus linguistics and text encoding initiatives.

• Semantic Web
• Cultural Heritage Modeling
• Knowledge Graphs
• +3 more

Alessandro Adamou is a Digital Humanities Scientist at the Bibliotheca Hertziana - Max Planck Institute for Art History. His expertise spans Semantic Web technologies, knowledge graph development, and intangible cultural heritage modeling. He leads the 'Linked Data Infrastructure for Cognitive Computing' project and has held research positions at Insight SFI Research Centre, The Open University, and Italy's National Research Council. Research Focus: Develops computational methods for representing fuzzy cultural concepts, optimizing ontology networks, and integrating linked data in humanities research. Applications include modeling musical traditions, reading experiences, and art historical evidence. Professional Service: Co-chairs the WHiSe workshop series on data science for humanities and serves on the Apache Stanbol project management committee.

Charles ConnerView profile

Professor

• Digital Signal Processing
• Image Processing
• Linux Systems
• +3 more

Dr. Charles Conner is a Professor of Engineering at Capitol Technology University, where he has held a full-time faculty position since transitioning from part-time teaching in 1984. He specializes in digital signal and image processing, with expertise in DSP Assembly/C++, MATLAB/Octave, and Linux systems development. Dr. Conner has also been instrumental in securing ABET accreditations for the university and held adjunct roles earlier in his career. His career spans over four decades in academia and industry, including roles as a Staff Scientist at Morehead State University’s Space Science Center, contributing to small satellite control software and the Lunar IceCube mission. He has developed critical systems such as the core Flight System (cFS) and AMMOS Instrumentation Toolkit (AIT). His technical skills include embedded systems design, Verilog/VHDL, and web development using Java/XML/Perl/Python. Research interests focus on signal/image processing, Linux systems, and aerospace applications. Notable projects include thermographic defect detection algorithms and free-space optical communication synchronization using Haar wavelets. His work bridges theoretical research and practical engineering, with contributions to both academic conferences and industry projects. Awarded multiple Esteemed Professor titles from Alpha-Chi Honor Society and recognized in Who’s Who publications, Dr. Conner emphasizes service, including Outstanding Service accolades at Capitol College and the Space Operations Institute. He advises IEEE student chapters and fosters interdisciplinary collaboration between engineering disciplines. Dr. Conner holds a B.S.E.E. (magna cum laude) and M.S.E.E. from the University of Maryland, and a Ph.D. in Electrical Engineering from Catholic University of America. He remains active in technical communities, including the Laurel Linux Users’ Group and Alpha-Chi Honor Society.

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.

• Cognitive Science
• Information Seeking Behavior
• Genre Analysis
• +5 more

Malcolm John Clark is a Lecturer in Data Analytics at the University of the Highlands and Islands (UHI), based in Inverness. He serves as Deputy Head of Curriculum at UHI Moray and Programme Leader for the BSc Computing programme. His academic background includes a PhD in Cognitive Science from Robert Gordon University (2014), an MSc in Classifying XML Documents by Genre (2005), and a BSc in Interactive Media (2004). His research focuses on information seeking behavior, genre analysis, human computer interaction, and machine learning applications. He has led numerous interdisciplinary projects funded by IDEAs Fund, SFC Innovation Vouchers, and UIF Funds, including initiatives on mental health through wild swimming, virtual consultation platforms for rural communities, and neurodiversity support systems. Clark also explores AI-driven domain knowledge structuring and psychometrics in communication. He has published extensively on topics like genre recognition, eye-tracking studies, and semantic web technologies. Currently accepting PhD students, his work aligns with UN Sustainable Development Goals related to education and innovation.

• 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.

Siddhartha BhattacharyyaView profile

Associate Professor

• Formal Methods
• Machine Learning Engineering
• Digital Engineering
• +5 more

Siddhartha Bhattacharyya is an Associate Professor in the Department of Electrical Engineering and Computer Science at Florida Institute of Technology, part of the College of Engineering and Science. He serves as the Director of the ASSIST Research Lab, focused on assurance frameworks for critical systems using formal methods, model-based engineering, and AI. His expertise spans formal methods , machine learning engineering , explainable AI , and cybersecurity , with applications in autonomous systems, healthcare, and avionics. Prior to joining Florida Tech, he held roles as a Sr. Research Engineer at Rockwell Collins, a tenured faculty member at Kentucky State University, and conducted research at institutions like Penn State and Oak Ridge National Laboratory. His work integrates theoretical rigor with industry collaboration, addressing challenges in safety, security, and system assurance. Research interests include model-based systems engineering , formal verification , and AI for healthcare , with a focus on autonomous systems. His lab collaborates with NASA, DARPA, AFRL, and ONR, among others, and has secured grants for projects like NASA’s ADLAAVS initiative. Publications emphasize assurance frameworks, cybersecurity, and AI applications in complex systems. Students advised include Ph.D. candidates Candice Chambers, Parth Ganeriwala, and Mohammad Hafeez Khan, among others. The ASSIST Lab has produced impactful work, including the ALINA algorithm and the Assisttaxi dataset.

Matthew R. BoutellView profile

Professor

• Image Recognition
• Machine Learning
• Pattern Recognition
• +4 more

Dr. Matthew R. Boutell is Professor and Associate Department Head of Computer Science and Software Engineering at Rose-Hulman Institute of Technology. He specializes in image recognition, machine learning, and pattern recognition, with additional expertise in robotics education and mobile application development. His research explores: Computer vision applications in photography and chromatography Machine learning techniques for security systems and game AI Innovative approaches to computer science education Entrepreneurial mindset development in technical curricula Analysis of Dr. Boutell's publications reveals three primary themes: Applied computer vision systems leveraging spatiotemporal and contextual features Educational research on instructional methods in computing fields Interdisciplinary applications of machine learning in chemistry and security Dr. Boutell received the Dean's Outstanding Teaching Award (2016) and served as a Fulbright Scholar at Copperbelt University in Zambia (2011-12). He played a key role in establishing Rose-Hulman's multidisciplinary robotics minor and developed courses in Android application development. His educational innovations include integrating robotics into introductory programming courses and creating video-based learning materials.

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.

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.

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.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +3 more

Jakub Neumann holds the following positions at the University of Gdańsk: Associate Professor, Division of Artificial Intelligence, Institute of Informatics, Faculty of Mathematics, Physics and Informatics Deputy Director of the Institute for Development and Promotion, Institute of Informatics Deputy Dean for Education, Faculty of Mathematics, Physics and Informatics His research interests include: Artificial Intelligence and Machine Learning (focus: imbalanced data classification using MapReduce) Autonomous Systems (path planning for autonomous surface vehicles) Educational Technology (XML-based tools for online course development) Theoretical Computer Science (tree automata and complexity) Publication trends: Neumann's work evolved from theoretical computer science (2002) to e-learning (2003-2007), autonomous systems (2012-2013), and recently big data and machine learning (2017-2018). His recent focus is on distributed computing solutions for imbalanced datasets, reflecting the growing importance of big data in AI applications.