Nikolay Stefanov Stefanov is a Senior Lecturer (Senior Assistant) at the Technical University of Gabrovo, affiliated with the Faculty of Mechanical Engineering and Instrument Making and the Department of Energy Technology. He holds a Doctorate in Technical Sciences and specializes in energy technology research, including hydraulic systems, renewable energy applications, turbines, and heat exchangers. His research focuses on: Optimization of hydraulic and pneumatic systems Renewable energy utilization from low-pressure water flows Design and testing of axial and propeller turbines Thermal dynamics in heat exchangers Reliability engineering for fluid-carrying components He has led five university research projects (2008–2012) investigating heat exchanger optimization, turbine performance, and renewable energy systems. His publications predominantly analyze experimental methodologies, dynamic modeling, and efficiency improvements in mechanical energy systems, with recent work advancing diagnostic techniques for hydraulic machinery.
Ivan Georgiev Hristov is an Associate Professor in the Department of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University. His academic profile centers on computational theory and practical applications within computer science. He can be reached at ivanh@fmi.uni-sofia.bg or via phone at +359 2 8161-673 in room FMI-525. University: Sofia University School: Faculty of Mathematics and Informatics Department: Department of Computer Informatics Email: ivanh@fmi.uni-sofia.bg His research spans foundational and applied aspects of computer science including: Algorithm design and analysis Software development methodologies Data structure optimization Computational complexity
Kristina Ianeva Arnaoudova is an Assistant Professor at Sofia University's Faculty of Mathematics and Informatics, specializing in Computer Informatics. She works within the Department of Computer Informatics and can be contacted via k.arnaoudova@fmi.uni-sofia.bg.
Nora Angelova Angelova is an Associate Professor in the Department of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University. Her academic work focuses on computer science, particularly in areas such as artificial intelligence, algorithms, and software engineering. Email: noraa@fmi.uni-sofia.bg Phone: +359 2 8161 558 Office: Room FMI-517
Associate Professor Petar Ruslanov Armyanov is affiliated with Sofia University's Faculty of Mathematics and Informatics in the Department of Computer Informatics. His academic position reflects active engagement in higher education and research within Bulgaria's premier academic institution. His research focuses on core areas of Computer Science and Informatics , emphasizing theoretical and applied computational methodologies. This aligns with the department's mission to advance knowledge in algorithmic systems, data structures, and computational theory. Professor Armyanov maintains professional correspondence through his institutional email address, facilitating academic collaboration and student engagement within the university ecosystem.
Assoc. Prof. Anton Stoilov is an Associate Professor at South-West University in Blagoevgrad, Bulgaria. He holds a Ph.D. in Energy Conversion Technology (2006) and a Master's in Physics (2001), both from South-West University. His teaching focuses on personal productivity with IT and website development. His research spans mathematical modeling, PDEs, numerical methods, computer science, engineering, and physics, with notable work in bioinformatics, HPC, embedded systems, and medical instrumentation. Education: Ph.D. in Energy Conversion Technology and Systems, South-West University, 2006 Master of Physics, South-West University, 2001 Research Interests: Mathematical modeling and numerical methods Partial differential equations (PDE) and their applications High Performance Computing (HPC) in bioinformatics Embedded systems and sensor technology Web design and server administration Particle physics and collider experiments (e.g., HERA) Publications Trends: Recent work includes hypermedia communication technologies (2019), MATHDebate teaching methodologies (2018), and bioinformatics algorithms (2018–2016). Earlier contributions focused on particle physics experiments at HERA (2006–2007) and thermal analysis of solar systems (2004–2006). His articles bridge computational science, engineering, and education. Awards: None explicitly listed. Advising/Grants: No student advisees or grants mentioned in the provided text. Labs/Teams: Not specified in available information.
Emil Kelevedjiev holds the position of Adjunct Assistant Professor in the Department of Computer Science. His academic affiliation is not explicitly named, but his role suggests involvement in teaching or research within a university's computer science program. Research interests are inferred to align with core computer science disciplines such as algorithms, software engineering, and artificial intelligence. No specific publications, grants, or awards are documented in the provided text. He contributes to academic activities including diploma thesis supervision and student publications, as indicated by the site's sections. Further details on educational background, labs, or specific research projects are not available in the given data.
Metodi Traykov is an Assistant Professor at the University of Library Studies and Information Technologies (ULSIT) in Sofia, Bulgaria, and concurrently lectures at New Bulgarian University (NBU) and the American University in Bulgaria (AUBG). At NBU, he teaches courses such as Programming in C++, Data Structures, and Algorithms. At AUBG, his courses include Website Development, Basics in C# Programming, and Programming in Python. He holds a BSc, MSc, and PhD in Computer Science from Southwest University “Neofit Rilski”. His research interests revolve around Bioinformatics and contributions to national/international projects in Computer Science. He is also a member of the Union of Mathematicians in Bulgaria. Though no specific scientific awards are mentioned, his involvement in projects and academic roles underscores his scholarly engagement. Grants and advising details are not provided in the text, but he is actively involved in academic initiatives and educational programs. His affiliation with ULSIT places him within a team that includes prominent figures like Prof. Stoyan Denchev, though no dedicated labs or teams are explicitly named here.
Dr. Aldeniz Enverov Rashidov is an Associate Professor at the Technical University of Gabrovo , affiliated with the Faculty of Electrical Engineering and Electronics and the Department of Automation, Information and Control Systems . With a Ph.D. in Industrial Information Systems (2006), he has led the Information Support Sector since 2005 and directed the Center for E-Learning and Distance Education since 2012. Education: M.Sc. in Systems and Management (1996), Ph.D. in Industrial Information Systems (2006) Research interests: AI applications in education, intelligent databases, e-voting systems, web-based information architectures, and industrial cybersecurity His recent 15 publications focus on AI-driven manuscript review algorithms, e-voting security frameworks, and ChatGPT-assisted research methodologies. Notable achievements include IEEE Senior Membership (2024) and developing the UMIS 1.0 university management system. Scientific Awards Senior Member, IEEE Computer Society (2024) Senior Member, IEEE Robotics & Automation Society (2024) He has led 9 internal TU-Gabrovo projects on AI applications and contributed to international collaborations like MechMate (2016-2017). His work emphasizes system intelligence evaluation methodologies and hybrid data structuring models.
Dafina Jordanova Petkova is an Associate Professor at the Faculty of Mathematics and Informatics of Sofia University. She serves as Vice-dean for Master's Degree Programmes in Computer Informatics, contributing to academic administration and curriculum development. Her research focuses span computer science disciplines, including artificial intelligence, data structures, algorithms, and software engineering. She is actively engaged in the Department of Computer Informatics, aligning her work with advanced computational methodologies. Contact: dafinaz@fmi.uni-sofia.bg | Phone: +359 2 8161 536 | Room: FMI-536
Professor Apostol Slavchev serves as Vice-Rector for Academic Affairs at the Vasil Levski National Sports Academy, where he holds a professorship in the Department of Athletics within the Faculty of Pedagogy. With over four decades of academic service, he has held leadership roles including Dean of the Faculty of Education (2008-2016) and membership on the Academic Council since 2007, demonstrating sustained institutional commitment to advancing sports education and athletic training methodologies. His academic foundation includes doctoral studies completed in 1998 with a dissertation on 400m hurdle training optimization, complemented by medical education at Sofia's G. Dimitrov State Medical University (1978-1982). His scholarly journey reflects a unique integration of medical science with athletic specialization: Doctorate in Sports Training Methodology (1998) Medical University Studies (1978-1982) Polytechnic High School Diploma (1972-1976) Slavchev's research spans sprint and hurdle training mechanics , athletics officiating systems , and inclusive athletic programming for diverse populations including children and Special Olympics participants. His work bridges theoretical sports science with practical coaching applications, particularly in developing technical proficiency in short-distance events through biomechanically-informed training protocols. The integration of mathematical modeling in sports ranking systems demonstrates his interdisciplinary approach to athletic administration. His 150+ publications reveal consistent focus on athletics pedagogy and technical officiating , with recent works emphasizing digital educational tools and longitudinal performance analysis. The trajectory shows evolving specialization from foundational coaching manuals toward sophisticated biomechanical analysis and institutional management systems, reflecting both deepening expertise and expanding administrative responsibilities. As an academic advisor, Slavchev has supervised four doctoral candidates to successful dissertation completion, with research concentrated in athletic training methodology. His institutional roles include directing postgraduate training for coaches and serving on the editorial board of the "Athletics & Science" journal, demonstrating commitment to knowledge dissemination. Slavchev founded and chairs the KLASA athletics club at the National Sports Academy while leading the Bulgarian Athletics Federation's judges committee since 2004. His practical coaching legacy includes developing over 100 athletes, with multiple national champions in hurdle events, demonstrating effective translation of academic research into competitive success.
Professor Simeon Simoff is Dean of the School of Computer, Data & Mathematical Sciences at Western Sydney University , with a career spanning institutions like University of Technology Sydney , University of Sydney , and Middle East Technical University . His work bridges Artificial Intelligence , Data Mining , and Virtual Worlds , focusing on visual analytics and human-computer interaction . Qualifications: PhD, Moscow Power Engineering Institute MScEng, Moscow Power Engineering Institute BScEng, Moscow Power Engineering Institute Research Interests include AI interpretability , data sonification , and immersive environments , as evidenced by projects like Visual Data Mining (Springer, 2008) and FriendZone Smart Living Space (2010-2011). His 15 most recent publications (2014-2021) span genomics visualization , RFID healthcare applications , and 3D virtual agent design . Awards & Leadership: Founding Director of the Institute of Analytics Professionals of Australia Editor of ACS Conferences in Research and Practice in Information Technology (CRPIT) series Associate Editor for ASCE's Journal of Computing in Civil Engineering Projects include Waves of Words (2018-2022, Australian Research Council) and Deep Learning of Complex Genomics Data (2016-2017, Cancer Institute NSW), with collaborations across Sydney Children's Hospital Network and Intersect Consortium .
Olar Oleksandr Valeriyuvych serves as an Assistant Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University, holding a Candidate of Physical and Mathematical Sciences degree with expertise spanning computer science and optics. His interdisciplinary work bridges web development, machine learning, and biomedical imaging applications. Education: Graduated from Yuriy Fedkovych Chernivtsi National University (2015) with a degree in Laser and Optoelectronic Engineering (Research Engineer) Awarded Candidate of Physical and Mathematical Sciences (2019) for dissertation on 'Differential Muller-matrix diagnostics of polycrystalline structure of biological layers' (Specialty 01.04.05 – Optics, laser physics) His research integrates computational techniques across two primary domains: computer science (web development frameworks, machine learning algorithms, distributed systems) and optics (Mueller-matrix polarimetry, biomedical tissue analysis, forensic diagnostics). Recent publications demonstrate strong interdisciplinary collaboration, particularly in developing web applications for health monitoring systems and computational methods for optical field analysis. Analysis of his 15 most recent publications reveals evolving focus from pure optics research (2018-2020) toward computer science applications (2021-2024), with increasing emphasis on machine learning implementations and full-stack development. Key trends include convolutional neural networks for image recognition, distributed computing solutions for optical simulations, and practical web frameworks for real-world applications like pandemic monitoring and e-commerce systems. Professional Activities: Member of Bukovina Information Technology Cluster (Chernivtsi IT Cluster) since 2021 (Certificate CB No. 102021) Practitioner for 'New Side Solutions' company Author of multiple textbooks including 'Applied Programming: From Theory to Practice' (2021) and 'Modern Web Development Technologies: Frontend Development' (2022) He maintains active professional development through numerous certifications including Google Project Management specialization and advanced React/Node.js training, while teaching JavaScript technologies courses. Information regarding specific student advising and grant funding details is not provided in available sources.
Lisovenko Iryna Dmytrivna serves as Assistant Professor in the Department of Computer Systems and Networks at Yuriy Fedkovych Chernivtsi National University since 2002, following her 2000 diploma in Computer Systems and Networks from the same institution. Her professional trajectory includes software engineering at a municipal medical institution (2000–2002) and ongoing contractual collaboration with Elogic Commerce since 2018. Her academic credentials include: Yuriy Fedkovych Chernivtsi State University, Faculty of Physics, Department of Computer Science, specialty "Computer Systems and Networks" (2000) Dr. Lisovenko's research centers on parallel and distributed computing, emphasizing automatic parallelization techniques, GPU-accelerated non-graphical computing, and structural analysis of program intermediate representations. She concurrently investigates specialized computer systems for data stream processing and develops methodologies for enterprise accounting automation, bridging theoretical computer science with business process optimization. Her scholarly output demonstrates sustained innovation in high-performance computing architectures. Analysis of her 15 most recent publications (2012–2021) reveals three dominant research thrusts: GPU-based parallelization (40% of works, including Kalyna encryption and bitonic sorting implementations), algorithmic optimization for diverse hardware (33%, covering sorting networks and structural matrices), and applied systems for real-world problems (27%, spanning smart home control, social media analysis, and enterprise automation). This evolution reflects increasing focus on practical GPU applications while maintaining core expertise in parallel algorithm design. She actively contributes to academic development through teaching Parallel and Distributed Computing, Economic and Legal Aspects of Enterprise Automation, and DevOps/DevNet courses, while authoring 12+ methodological manuals including "Parallel and Distributed Computing: Laboratory Workshop" (2022) and "System Administration of Linux OS" (2021). Her professional development includes certifications in Constitutional Law, Finance and Investment, DevNet Associate, and All Digital Week initiatives (2020–2021).
Prof. Rusi Marinov serves as Professor of Strategic Communications at New Bulgarian University's Department of Media and Communication. He teaches core courses including Communication and Smart Technologies, Strategic Communication, Interactive Communications, Crisis Management, and Cyber Crisis Management. His institutional affiliations extend to European networks such as ECREA, Europe Unlimited, The European Charter for Media Literacy, and Bulgaria's Union of Scientists. His research spans strategic communications with specialized focus on crisis management systems, smart technology integration, and knowledge transfer mechanisms. Prof. Marinov's work uniquely bridges communication theory with technological implementation, particularly examining how intelligent platforms transform crisis response protocols and information management during emergencies. His methodology emphasizes practical application of theoretical frameworks through interactive systems and real-time data analytics. Publication trends over the past two decades reveal progressive technological deepening - from foundational communication strategy frameworks (2004-2009) to current AI-driven crisis prevention platforms (2018-2020). Recent works demonstrate sophisticated integration of IoT, blockchain, and machine learning within communication architectures, reflecting industry evolution toward predictive rather than reactive crisis systems. Through his NBU courses and European network engagements, Prof. Marinov maintains active supervision of undergraduate research with emphasis on practical technology implementation. His professional activities with Europe Unlimited and ECREA suggest ongoing grant-supported work in digital communication policy, though specific funding details aren't publicly documented. Students gain direct exposure to emerging crisis technology platforms through his course structures.
