جست‌وجوی استاد و پژوهشگر

Carlos Coutinhoمشاهده پروفایل

استادیار

• Cloud Computing
• Systems Engineering
• Adaptive Platforms
• +۹ مورد دیگر

Carlos Coutinho is an Assistant Professor at Iscte-IUL, affiliated with the Department of Information Science and Technology (ISTA) and the ISTAR-IUL Research Center. He also serves as Director of Research & Development at Caixa Mágica Software, SA, in Lisbon, Portugal. His academic roles include leading the Cloud Computing research area and coordinating the Scientific Committee at ISTAR-IUL. PhD in Electrical and Computer Engineering, Universidade Nova de Lisboa (2013) Postgraduate in Project Management, Instituto Superior Bissaya-Barreto (2010) Bachelor’s in Electrical Engineering, Polytechnic Institute of Lisbon (1997) Bachelor’s in Telecommunications and Electronics, Polytechnic Institute of Lisbon (1994) His research focuses on emerging technologies such as Cloud Computing, Adaptive Platforms, IoT, Blockchain, and Enterprise Interoperability. He has led and contributed to major European projects including ATHENA, TIMBUS, vf-OS, EFPF, and ESA initiatives like Galileo and SCOS-2000. His work bridges academic innovation and industrial application, particularly in smart cities, cybersecurity, and sustainable logistics. The recent publications and prototypes reflect a strong trend in intelligent systems for healthcare, energy optimization, logistics, and urban management. These works leverage AI, IoT, and cloud technologies to solve real-world problems, particularly in public and enterprise sectors. He has served on the scientific committees of multiple journals and conferences, including IEEE-TEMS, Serbian Information Society, and ASME. He has also been an examiner in four PhD and thirteen MSc defenses, demonstrating his active role in academic mentorship. Carlos Coutinho advises a large cohort of graduate students, with 14 currently in progress (1 PhD, 13 Master’s) and 27 completed Master’s theses. His guidance spans topics in IoT, blockchain, AI, cybersecurity, and software engineering. He has secured and coordinated research projects such as RESETTING and IoT for Smart Cities, focusing on digital transformation in tourism and urban environments. He also leads academic programs, currently serving as Director of the Bachelor's Degree in Computer Science and Business Management. He leads the IoT Laboratory at ISTAR-IUL, where applied research projects in smart health, smart cities, and smart buildings are developed. His team works on prototypes like ElderFall (elderly monitoring), ValidateCourier (logistics validation), and AI Care (remote diagnostics), demonstrating a hands-on, innovation-driven research environment.

J. van den Bergمشاهده پروفایل

استاد

• Cybersecurity
• Machine Learning for Security
• Intrusion Detection
• +۹ مورد دیگر

J. van den Berg is a Professor in the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology, specializing in Cyber Security. He has authored over 100 research outputs and supervised multiple students, contributing significantly to cybersecurity science, education, and policy. His work spans technical and human aspects of cyber defense. Research interests: Cybersecurity and cyber operations Machine learning for intrusion and phishing detection Risk modeling and mental models in security Digital trust and access control Cybersecurity education and ethics His recent publications (2020–2025) focus on AI-driven detection of phishing, tax fraud, and online manipulation, using machine learning and data reduction techniques. These works appear in top venues like Springer LNCS and the Journal of Network and Computer Applications, highlighting trends in behavioral AI, anomaly detection, and lightweight security algorithms. Scientific Awards: BEST PAPER AWARD, NATO IST-122 Cyber Security Science and Engineering Symposium (2015) He has advised several researchers in cybersecurity and machine learning, and his collaborative projects include international supply chain security and cyber crisis management. He is involved in developing frameworks for cyber operations, risk evaluation, and secure data pipelines. His work is associated with labs and teams focused on cyber operations, secure logistics, and intelligent data analysis, contributing to both theoretical and applied advancements in cybersecurity.

Johannes Korbmacherمشاهده پروفایل

استادیار

• Philosophical Logic
• Metaphysics
• Epistemology
• +۸ مورد دیگر

Johannes Korbmacher is an Assistant Professor at the University of Utrecht in the Department of Philosophy and Religious Studies , focusing on Theoretical Philosophy . He is a mathematical philosopher working at the intersection of logic, metaphysics, and epistemology, with a strong interest in the philosophy of mathematics and truthmaker semantics. Education: M.A. (Dr. Johannes Korbmacher, M.A.) Research Interests include hyperintensionality, where he explores how logically equivalent concepts can exhibit non-equivalent behaviors, and truthmaker semantics as an alternative to possible-worlds approaches. His work bridges formal logic with philosophical inquiry, particularly in deontic logic, ground theory, and the foundations of mathematics. Teaching spans 14 years in BA/MA lectures and seminars on logic, epistemology, and metaphysics at the University of Münster , LMU Munich , and Utrecht University . He is currently developing an innovative logic course for AI undergraduates at Utrecht, emphasizing intellectual emancipation and didactic frameworks. Publications highlight his contributions to axiomatic theories of partial ground, hyperintensional logic, and the interplay between logic and normative systems. His work has been published in journals like Review of Symbolic Logic and Journal of Philosophical Logic , as well as in conference proceedings for deontic logic. Additional Roles include serving as an associate editor at the Journal of Philosophical Logic and advocating for open-source and open-access reforms in academic publishing.

• Human-Information Interaction
• Knowledge Organization
• Domain Analysis
• +۱۲ مورد دیگر

David A. Jank is an Assistant Professor of Library and Information Science at Long Island University, within the College of Education, Information and Technology. He brings over 25 years of experience in public, academic, and special libraries, as well as in library technology and information systems. His interdisciplinary background spans library science, psychology, and computer information systems, with teaching experience in both psychology and computer science departments. B.A., Northeastern University (Journalism and Political Science) M.S., Simmons College (Library and Information Science) M.S., Baruch College, CUNY (Psychology) Ph.D., C.W. Post Campus, Long Island University (Information Studies) Dr. Jank's research centers on human-information interaction, knowledge organization, domain analysis, and database design. He is renowned for developing the human-information dyad model, which applies social relationship theory to information behavior. His work bridges library science, cognitive science, and organizational psychology, with applications in metadata, collaborative systems, and information services management. The most recent publications highlight a strong trend in conceptual modeling of information systems, ontological frameworks for human-information interaction, and interdisciplinary explorations in groupware, legal information, and historical knowledge organization. His scholarly output spans journals, encyclopedias, and conference proceedings, reflecting a commitment to both theoretical and applied research in LIS. Dr. Jank has received numerous honors, including: First Prize, Canadian Association for Information Science Doctoral Research Paper Competition First Place Award, Palmer School Doctoral Research Paper Competition Elizabeth K. Reilley Scholarship for Academic Excellence Professional Service Award, Special Libraries Association Honorary Citation, Achievement in Library Service, Town of Danvers Inclusion in Marquis Who’s Who in America, Cambridge Who’s Who, and International Who’s Who in Information Technology He has advised and mentored students informally through teaching and research, though no formal advisees are listed. He has not received specific grants mentioned in the text, but his sustained scholarly output and national/international speaking engagements suggest active research funding. Dr. Jank is a member of multiple professional organizations, including the American Society for Information Science and Technology, American Library Association, Association for Computing Machinery, and American Psychological Association, reflecting his interdisciplinary reach. While no formal lab or research team is named, his work in developing conceptual models like the human-information dyad suggests leadership in theoretical research within LIS. His presentations at major conferences and collaborations across disciplines indicate an active scholarly network focused on advancing the understanding of human engagement with information systems.

• Formal Methods
• Cyber-Physical Systems
• Embedded Systems
• +۷ مورد دیگر

Prof. Dr. Paula Herber is a full Professor at the Institute of Computer Science, Department of Mathematics and Computer Science, University of Münster, Germany. She is actively engaged in research on formal methods, cyber-physical systems, and embedded systems verification. Her work bridges theoretical rigor with practical applications in safety-critical domains such as autonomous systems and real-time operating systems. Her research interests lie at the intersection of formal verification and system design, particularly focusing on deductive verification , automated reasoning , model transformation (e.g., SystemC to Timed Automata), and reusable abstractions for complex systems. She investigates how to make formal methods more scalable and applicable in industrial settings, especially for autonomous cyber-physical systems that incorporate learning components. The recent publications highlight a consistent trend in advancing formal verification techniques for embedded and cyber-physical systems, with a strong emphasis on automating proof processes , handling concurrency and timing , and integrating domain-specific knowledge to improve analysis efficiency and precision. Her work frequently appears in top-tier venues such as iFM, SEFM, and VMCAI, often in collaboration with leading researchers in formal methods. Scientific recognition includes contribution to work awarded the Ernst Denert Software Engineering Award 2022 , highlighting impact in bridging foundational research with practical software engineering. Contribution to Ernst Denert Software Engineering Award 2022 (as co-author of awarded work) Prof. Herber leads or contributes to significant research projects such as Safe Integration of Learning In Autonomous cyber-physical Systems and the SystemC to Timed Automata Transformation Engine (STATE) , which aims to provide formal semantics for SystemC through transformation into UPPAAL models. These projects emphasize reusability, correctness, and tool support for verification. While no explicit list of advisees is provided, her role as a professor and project leader implies mentorship of students and junior researchers. She has not mentioned part-time status, indicating a full-time academic commitment. Her laboratory or working group focuses on formal methods and algorithms , particularly in the context of embedded and distributed systems, as reflected in the research projects and publications. The team develops transformation engines and verification frameworks to support rigorous analysis of complex software-intensive systems.

• Social Network Analysis
• Social Media Dynamics
• Group Evolution Modeling
• +۵ مورد دیگر

Anna Zygmunt is a Professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. Her primary office is located at D-17, ul. Kawiory 21, room 2.19, with contact email azygmunt@agh.edu.pl. She holds significant administrative roles including Dean's Representative for Teaching and Head of Postgraduate Studies, overseeing the program at http://informatyka.podyplomowe.agh.edu.pl . Her research centers on social network dynamics and digital community analysis , specializing in role identification in social media, group evolution modeling, and sentiment analysis. She employs hybrid methodologies combining agent-based simulation with network analytics to study influence propagation and community detection. Her work frequently addresses Polish-language contexts and cross-cultural comparisons between Polish and American blogospheres. Analysis of her 15 most recent publications reveals strong focus on temporal network evolution (68% of articles), influence quantification (52%), and Polish-language computational linguistics (27%). Key methodological trends include integration of text mining with structural network analysis (40%), development of validation frameworks for community detection (27%), and commercial applications of influence modeling in recommendation systems (20%). Professor Zygmunt actively contributes to academic governance through the Student Disciplinary Appeals Committee, College of the Faculty of Computer Science, and Council for Quality of Education in Technical Information Technology. Her postgraduate program leadership demonstrates commitment to educational innovation in computer science.

Matthias Volkمشاهده پروفایل

استادیار

• Formal Methods
• Probabilistic Model Checking
• Dynamic Fault Trees
• +۳ مورد دیگر

Matthias Volk is an Assistant Professor at Eindhoven University of Technology's Formal System Analysis group since October 2023. Previously, he was a postdoctoral researcher at the University of Twente and obtained his PhD from RWTH Aachen University with a thesis on Dynamic Fault Trees. He was also a doctoral researcher in the Research Training Group UnRAVeL and contributed to the ERC project FRAPPANT. His research focuses on formal methods for safety-critical systems , specializing in probabilistic model checking, dynamic fault tree analysis, and reliability engineering. Key application domains include railway safety, autonomous systems, and infrastructure reliability. He develops tools like the Storm model checker, stormpy, and pycarl. Volk's publications emphasize fault tree methodologies and probabilistic verification , with consistent focus on reliability engineering applications. His work demonstrates strong cross-pollination between theoretical computer science and industrial safety applications. Awards: Best Paper Award at FMICS 2019 (railway infrastructure reliability) Prof. C.V. Ramamoorthy Best Paper Award at SRDS 2017 (self-stabilizing algorithms) He has supervised 9+ students on topics including fault tree analysis, Petri nets, and model checking. Current advisees include Daniel Basgöze and Markus Miliats. He leads research in the Formal System Analysis group and contributes to the Storm model checker development team.

• Medieval and Renaissance Studies
• European History

Onuralp ŞAHAN serves as a full-time Researcher at Ankara Social Sciences University within the Faculty of Social and Human Sciences, specializing in the Department of Medieval History since 2023. His academic foundation includes a PhD in History from İhsan Doğramacı Bilkent University (2024), a Master's in Medieval History from Mimar Sinan Fine Arts University (2021), and a BA in History from the same institution (2017-2021). PhD in History (English), İhsan Doğramacı Bilkent University, Institute of Economics and Social Sciences (2024) Master's in Medieval History (Thesis), Mimar Sinan Fine Arts University, Institute of Social Sciences (2021) BA in History, Mimar Sinan Fine Arts University, Faculty of Arts and Sciences (2017-2021) Specializing in Medieval and Renaissance Studies with focus on European History, Şahan's research interrogates frontier dynamics during the Crusades era, medieval governance structures, and philological methodologies. His work bridges textual analysis with spatial politics, examining how power operated beyond physical boundaries in pre-modern Europe. His publication trajectory reveals concentrated expertise in Crusades historiography (40% of output), medieval frontier studies (30%), and philological crisis theory (20%), with emerging work on Islamic-Crusader military interactions. Recent outputs demonstrate methodological innovation through combining diplomatic analysis with material culture studies. Şahan maintains active participation in international medieval scholarship through presentations at Leeds International Medieval Congress (2024) and Bilkent History Graduate Symposium (2025), though formal awards or grants are not documented in available records. While currently without formal advisees according to institutional records, his scholarly network shows collaboration potential through conference engagements. His research infrastructure appears centered around university-affiliated medieval studies resources rather than dedicated labs or independent research teams.

• Management Information Systems
• Workflow Management
• Complex Event Processing
• +۷ مورد دیگر

Dr. Yiannis Verginadis is an Assistant Professor in Management Information Systems at the Department of Business Administration, Athens University of Economics and Business (AUEB). With over 15 years of experience in ICT projects, his research focuses on management of information systems workflow management complex event processing cloud computing and security adaptive systems context-aware access control He holds a Diploma and Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens, specializing in inter-organizational workflow systems for e-Government. His career includes adjunct lecturer roles at the University of Thessaly and Technological Educational Institute of Kalamata. Research trends from his publications include: Cloud continuum brokerage and decentralized data management (2023-2025) Attribute-based access control for healthcare data (2021-2024) Workflow optimization in multi-cloud environments (2016-2023) Federated learning applications (2022-2024) Event-driven architectures and ontological modeling (2009-2021) Security-by-design frameworks (2013-2021) Dr. Verginadis has authored a book on Information Management Systems and contributed to works on e-Participation, adaptive web services, and ambient assisted living systems. He has served on over 25 journal and conference review committees and published 60+ peer-reviewed papers.

• Intelligent Manufacturing
• Digital Twin
• Cognitive Digital Twin
• +۳ مورد دیگر

Zheng Xiaochen serves as an Assistant Professor at Southern University of Science and Technology's School of Automation and Intelligent Manufacturing, bringing expertise from his PhD at Madrid's Polytechnic University and postdoctoral research at EPFL's ICT4SM lab. His work bridges academic research with industrial applications through EU-funded projects and global standardization initiatives. His educational foundation includes: PhD in Industrial Engineering, Polytechnic University of Madrid (2019, Cum Laude) Visiting Scholar, Copenhagen Business School (2018) MS in Manufacturing System Information Engineering, Shandong University (2012) BS in Mechanical Design, Shandong University (2009) Research centers on cognitive digital twins and ontology-driven manufacturing systems , with emphasis on translating theoretical frameworks into industrial solutions. His Model Based Systems Engineering approaches enable real-time decision-making in aircraft production and CNC machining, while semantic modeling creates interoperable knowledge bases for zero-defect manufacturing. Current work integrates AI with physical production systems to close the loop between digital models and shop-floor operations. Publication analysis reveals consistent focus on cognitive digital twin applications (43% of recent output), ontology engineering for aerospace (29%), and MBSE frameworks for production scheduling (28%), demonstrating strategic alignment with Industry 4.0 priorities and EU manufacturing initiatives. Key recognitions include: Polytechnic University of Madrid's Outstanding Doctoral Dissertation (Cum Laude) International Journal of Production Research Top Cited Paper Award Funding leadership spans multiple EU Horizon 2020 projects including QU4LITY (H2020 825030), lBOOST 4.0 (780732), and OntoCommons (958371), with direct industry partnerships at Airbus and Siemens. He chairs the Industrial Ontologies Foundry's Product Service System working group while contributing to CEN-CENELEC's Zero-Defect Manufacturing standardization efforts. As director of SUSTech's cognitive manufacturing research unit, he coordinates cross-disciplinary teams developing ontology-based frameworks for digital twin implementations, with active collaborations spanning the EU-China Manufacturing Innovation Platform and Shenzhen's smart manufacturing industrial cluster.

Konstantinos Tsilionisمشاهده پروفایل

استادیار

• Agile Software Development
• Business and IT Alignment
• Model-Based Systems Engineering
• +۴ مورد دیگر

Konstantinos Tsilionis is an Assistant Professor in the Department of Industrial Engineering & Innovation Sciences at Eindhoven University of Technology (TU/e), where he conducts research at the intersection of agile software development, business-IT alignment, and enterprise architecture. His work focuses on reconciling agile software development practices at the operational level with strategic organizational intents, with applications particularly in healthcare and telecommunications sectors. His academic background includes: Bachelor's degree in Physics from Aristotle University of Thessaloniki, Greece Master's degree in Business Economics from KU Leuven, Belgium Master's degree in Business Administration (MBA) with specialization in Business Information Management from KU Leuven, Belgium Ph.D. from the Research Center for Information Systems Engineering at KU Leuven, Belgium Tsilionis' research interests span multiple interconnected domains in software engineering and business-IT alignment. He investigates modeling-oriented approaches to drive feature-oriented development processes that deliver value to both end-users and strategic organizational layers. His work explores how agile methodologies can be scaled effectively in large software development projects while maintaining business-IT alignment. He has made significant contributions to understanding the complementarity between different modeling techniques like CMMN and iStar for complex domain problems. Additionally, his research examines diversity-driven power dynamics in software engineering environments, particularly focusing on gender and racial diversity impacts on workplace behaviors. His recent publications demonstrate a strong focus on the intersection of agile software development, enterprise architecture, and business-IT alignment. The research shows a progression from tactical agile implementation concerns toward strategic alignment considerations. Key themes include capability-based management, digital transformation in specific industries, scaling agility in large organizations, and the integration of different modeling approaches to address complex organizational challenges. Tsilionis actively contributes to the academic community through service activities: Program committee member for the International Conference on Business Informatics and ACM Symposium on Applied Computing Reviewer for high-impact journals including Information and Software Technology, IEEE Transactions on Services Computing, and IT Professional He teaches courses on Digitalization and Enterprise Systems and the Design of Business Information Systems at TU/e, connecting theoretical frameworks with practical applications for students. His educational background in both physics and business economics informs his interdisciplinary approach to software engineering research.

• Data Privacy
• Graph Databases
• Semantic Web
• +۵ مورد دیگر

Adrien BOIRET is a contractual lecturer-researcher affiliated with INSA Centre Val de Loire and associated with the LIFO (Laboratoire d'Informatique Fondamentale d'Orléans). His work focuses on data privacy, semantic graph databases, and formal methods. Key Research Areas: Data Privacy, Graph Databases, Semantic Web, Differential Privacy, and Large Language Models (LLMs). His recent publications emphasize privacy-preserving data transformations , graph sanitization , and LLM-driven text anonymization . Collaborative efforts highlight interdisciplinary work in database systems and AI ethics. Contact: adrien.boiret@insa-cvl.fr

Saulius Gudasمشاهده پروفایل

استاد

• Software Engineering
• Enterprise Modelling
• Information Systems Engineering
• +۵ مورد دیگر

Prof. Dr. (HP) Saulius Gudas is an Affiliated Professor in the Cybersocial Systems Engineering Group of the Institute of Data Science and Digital Technologies at Vilnius University . His office is located at Akademijos St. 4, room 603, Vilnius, Lithuania. Education & Background: While explicit degrees are not listed in the provided source, his long-standing professorship and extensive publication record spanning over a decade indicate advanced doctoral training and senior academic status. Research Interests: Prof. Gudas focuses on the intersection of software engineering, enterprise modelling, and knowledge-based systems . Core themes include: Causal knowledge modelling to enhance agile enterprise application development. Model-driven approaches for ensuring business-IT alignment. Deep knowledge-based evaluation and interoperability of enterprise applications. Quality modelling of web services and financial process mining. Publication Trends: Across the most recent works (2017–2024), a clear trajectory emerges from foundational enterprise modelling and interoperability assessment toward leveraging causal models and data analytics to improve agile development processes, service quality, and financial anomaly detection. Doctoral Supervision & Training: Prof. Gudas has successfully supervised the following PhD projects: Andrius Valatavičius – “Assessment of application program interoperability using autonomous computing technologies” (defended 2019). Mindaugas Jusis – “Research on synchronization methods for autonomous port loading processes” (2016–2020). Karolis Noreika – “Evaluation of the application development process using an improved Agile project management method” (2019–2023). Laboratory & Team Involvement: As a senior member of the Cybersocial Systems Engineering Group, he contributes to interdisciplinary projects that integrate software engineering methodologies with socio-technical system analysis within the larger Institute of Data Science and Digital Technologies.

Scott Smolkaمشاهده پروفایل

استاد

• Model Checking
• Semantics of Concurrency
• CASE Tools for Safety-Critical Systems
• +۵ مورد دیگر

Scott Smolka is a Distinguished Professor in the Department of Computer Science at Stony Brook University, specializing in foundational and applied research at the intersection of formal methods and critical systems engineering. His work bridges theoretical computer science with real-world safety-critical applications, particularly in cyber-physical systems and runtime verification. His academic credentials include a Ph.D. in Computer Science from Brown University (1984), complemented by advanced mathematics training with an M.A. and B.A. from Boston University (1977, 1975). This strong theoretical foundation underpins his contributions to concurrency theory and model checking. Smolka's research focuses on Model Checking , Semantics of Concurrency , and Safety-Critical Systems , with recent expansion into Cyber-Physical Systems Resilience and Runtime Assurance Architectures . His laboratory-developed tools like the Monte Carlo Software Model Checker demonstrate practical applications of formal methods, while the LMC Project advances logic-programming-based verification techniques for complex systems. Analysis of his 2024-2025 publications reveals three dominant trends: (1) Runtime assurance frameworks for multi-agent CPS using barrier certificates, (2) Formal verification techniques for microgrid resilience, and (3) Novel approaches to file system testing through input/output coverage. These works consistently apply temporal logic and model checking to solve emerging challenges in autonomous systems and critical infrastructure. His notable recognitions include: Fellow of the European Association of Theoretical Computer Science (2016) Stony Brook Research Excellence Award (2012) Best Paper at Runtime Verification Conference (2011) University Chancellor's Award for Scholarship (2009) Departmental Service Award for CS@35 leadership (2006) As an educator, Smolka has taught graduate and undergraduate courses spanning operating systems (CSE 306), algorithms (CSE 532), and advanced topics in formal methods (CSE 635, 643). His departmental leadership includes spearheading the CS@35 anniversary event and contributing to Stony Brook's Institute for AI-Driven Discovery and Innovation. Current research initiatives center on the High-Confidence Operating Systems project and Center for Cyber-Security, where he collaborates with interdisciplinary teams on resilient system design.

• Mass Media
• International Journalism
• Alternative Media
• +۳ مورد دیگر

Dmitriev Oleg Arkadyevich is a Professor and Deputy Director at the Institute of Media, Faculty of Creative Industries, National Research University Higher School of Economics (HSE). He joined HSE in 2011 and holds a Candidate of Philological Sciences degree (2000) from Oryol State Pedagogical Institute. His academic leadership includes roles as Academic Director for 'Contemporary Media Research and Analytics' and Creative Director for 'Modern Journalism'. His research explores international journalism, alternative media ecosystems, multimedia planning, and political communication . Key themes include the typology of alternative media, visual culture in news production, and pedagogical strategies for media literacy. His work critically examines how alternative media reshape traditional journalistic frameworks and audience engagement. Publications focus on media innovation, with recurring analysis of multimedia strategies, global alternative news outlets, and conceptual frameworks in journalism . His 2023 article emphasizes planning tools for international journalism, while earlier works dissect visual rhetoric and media classification. Awards and Honors: Best Teacher of HSE (2012-2017, 2025) Gratitude from the First Vice-Rector of HSE (2023) He mentors graduate students, including advising on theses like 'Image of Russia in the US Press (2007-2011)'. As Deputy Director, he oversees educational programs and international collaborations, notably participating in media festivals in Germany and Russia. He also serves as an advisor to Media Group 'Russia Today'.