Find Academic Supervisors

Uhryn Dmytro IlyichView profile

Associate Professor

• Information technologies for decision support
• Swarm intelligence systems
• Industry-specific geographic information systems
• +2 more

Dr. Dmytro Uhryn is an Associate Professor at the Department of Computer Science, Yuriy Fedkovych Chernivtsi National University. With a Doctor of Technical Sciences degree (2021) and specialization in Computer Science (12DC No. 029057, 2011), he actively contributes to research in swarm intelligence and geographic information systems . As a member of the Bukovina Information Technology Cluster since 2019, he focuses on intelligent forecasting systems , medical image analysis , and financial data modeling . Education: Applied Mathematics (2003, Chernivtsi National University) and Organizational Management (National Technical University "Kharkiv Polytechnic Institute") Research Interests: Information technologies for decision support, swarm intelligence systems, industry-specific GIS, medical image processing, and financial market algorithms. Recent publications (2023-2024) demonstrate expertise in swarm intelligence applications for migration forecasting, medical diagnostics using laser autofluorescence, and financial systems modeling. His 2021 dissertation established foundational methods for swarm intelligence in GIS . Professional development includes certifications in educational programming (Sigma Software University), NATO modeling , and international teaching methodologies (Lyublin Institute, 2023). He collaborates with researchers across Ukraine and Poland on biomedical optics, financial IT, and tourism technology projects.

• Latest network technologies
• Information security
• Cryptography
• +4 more

Dr. Yuliya Volodymyrivna Tanasyuk is an Associate Professor at the Department of Computer Systems and Networks, Chernivtsi National University named after Yu. Fedkovych . She holds a Candidate of Physical and Mathematical Sciences degree (2003) and has been an active researcher and educator in computer science and physics domains. Academic Rank: Associate Professor Email: y.tanasyuk@chnu.edu.ua Her research spans multiple disciplines: Cryptography Cellular Automata Internet of Things (IoT) Software Engineering Network Technologies Project Management Notable trends in her publications include: Applications of cellular automata in cryptographic hash functions (2017–2021) Advancements in CdTe semiconductor materials (2003–2007) Interdisciplinary work bridging physics and computer science Scientific recognition includes: Multiple Cisco certifications (CCNA Security, DevNet Associate) 2023 UGEN Uni-Biz Bridge award for teaching flexibility British Council Academic Teaching Excellence (2016) International conference presentations at E-MRS and ISCP As an academic advisor, she has supervised numerous student research projects including: TensorFlow-based pattern recognition Traffic sign tracking systems Blockchain interaction frameworks University event planning software Smart parking detection systems Her work often intersects hardware-software integration and security protocols, with educational contributions through methodological guides in C++ programming and network technologies.

Ivan Kolev KoichevView profile

Professor

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +2 more

Ivan Kolev Koichev is a Professor at the Department of Software Technologies within the Faculty of Mathematics and Informatics at Sofia University 'St Kliment Ohridski'. He serves as the Director of the MSc program in Information Retrieval and Knowledge Discovery and Head of the Department of Software Technologies Education. His research spans Artificial Intelligence, Machine Learning, Natural Language Processing, and Information Retrieval. MSc in Applied Mathematics (1988), Sofia University PhD in Computer Science (1998), Bulgarian Academy of Sciences Postdoc Fellowships at GMD Germany (1999-2002) and Robert Gordon University UK (2002-2005) His work focuses on adaptive learning systems, fact-checking, author obfuscation, and community question-answering frameworks. Key publications address concept drift adaptation, political debate analysis, image claim verification, and credible news detection. He collaborates extensively with researchers like Preslav Nakov and Momchil Hardalov. He has contributed to SemEval-2016 Task 3 and developed the LEAF multiple-choice question generation system. His research integrates linguistic analysis, credibility assessment, and algorithmic innovation across multidisciplinary domains.

KRASEN KIROV ANGELOVView profile

Professor

• Wireless Communication Systems
• 5G Networks
• Internet of Things (IoT)
• +7 more

Krassen Kirov Angelov is a full professor at the Department of Communication Equipment and Technologies within the Faculty of Electrical Engineering and Electronics at Technical University - Gabrovo . He has led and participated in 15 research projects, focusing on wireless communication platforms, IoT systems, and optical network optimization. Head, Department of Communication Equipment and Technologies Project Manager for 5G/IoT research (2022) Co-author of 3 textbooks on communication circuits Research Interests include: 5G network design and optimization IoT communication protocols Optical network modeling Secure data transmission Satellite broadcasting systems Smart infrastructure development His recent publications (2021-2025) demonstrate expertise in: Chaotic encryption techniques Neural network applications LoRaWAN coverage planning DVB-S2 signal transmission Passive optical network modeling Radio frequency optimization PhD Students : Plamen Tashev (Radio Channel Monitoring) Mikhail Angelakis (Wireless Resource Management) Victor Krustev (Security Identification) Ivan Zlatev (Network Resource Allocation) Evelina Vaseva (Beekeeping Monitoring)

• Applied Mathematics
• Probabilities and Statistics
• Econometrics
• +4 more

Assoc. Prof. Mariyan Milev is a dedicated academic at the Department of Statistics and Econometrics within the Faculty of Economics and Business Administration at Sofia University "St. Kliment Ohridski." With extensive international experience including doctoral studies at the University of Trento, Italy and postdoctoral research at the University of Venice, Dr. Milev brings global perspective to his teaching and research activities at the university. His academic journey reflects a strong commitment to both theoretical mathematics and practical applications in economic and financial contexts. Dr. Milev's research interests span multiple interconnected domains including applied mathematics, probability theory, statistics, econometrics, financial derivatives, numerical methods, and fractional equations. His scholarly work demonstrates consistent focus on developing mathematical frameworks that address real-world economic and financial challenges, particularly in option pricing and stability analysis of complex systems. His research bridges pure mathematics with practical applications across diverse fields from finance to medicine and oenology. The publication record of Assoc. Prof. Milev reveals a clear trajectory of increasingly sophisticated mathematical modeling, with recent work focusing on fractional calculus applications and advanced numerical methods. His research shows strong international collaboration patterns, particularly with scholars from Italy, Iran, and other European institutions. The publications demonstrate expertise in both theoretical mathematics (fractional systems, moment problems) and applied contexts (financial derivatives, medical modeling, wine analysis). Dr. Milev has successfully co-supervised doctoral students including Anna Nikolova (Sofia Technical University, 2021) and Irina Naskinova (Southwest University "Neofit Rilski", 2023), demonstrating his commitment to academic mentorship. His educational contributions extend beyond supervision to include authoring textbooks such as "Application of MATLAB in Economics" and co-authoring several other educational materials on statistics and mathematical modeling. Within the university structure, Dr. Milev contributes significantly to the Department of Statistics and Econometrics through teaching courses in mathematical economics, statistics, and econometrics. His office is located in Block 3, Office 516 at 125 "Tzarigradsko Shausse" Boulevard, where he holds regular office hours on Thursdays from 13:00-15:00 by appointment.

• Biomimetic Engineering
• Parametric Design
• Evolutionary Computation
• +3 more

Achim Menges is a contemporary architect and Professor of Digital Design at The European Graduate School (EGS) and the founding director of the Institute for Computational Design at the University of Stuttgart. He also holds a visiting professorship at Harvard University's Graduate School of Design. His research integrates biomimetic engineering, parametric design, evolutionary computation, and computer-aided manufacturing through interdisciplinary collaboration with engineers, computer scientists, and biologists. Education: Began at Technical University of Darmstadt (Germany), graduated with honors from the Architectural Association School of Architecture in London (2002). Taught at AA School (2002-2012), Rice University (visiting professor), and Offenbach University of Art and Design (2005-2008). Currently at University of Stuttgart since 2012. Research focuses on biomimetic principles applied to architecture, such as humidity-responsive wood structures (e.g., FAZ Pavilion, 2010). Key themes include material computation, adaptive systems, and the synergy between biological processes and digital fabrication. His work emphasizes translating natural phenomena into functional architectural solutions without mechanical control systems. Scientific contributions include the FEIDAD Awards (2002, 2003), RIBA Tutor Prize (2004), Bentley Educator of the Year (2005), and ACADIA Award (2007). Over 10 major publications since 2004, including Material Computation: Higher Integration in Morphogenetic Design (2012). Labs/Teams: Leads the Institute for Computational Design (ICD), affiliated with Germany's Biomimetics Competence Network and Computer Science in Architecture Network. Active in international research evaluations and conference committees.

• Radio Communications
• Wireless Networks
• Computer Systems
• +3 more

Rosen Pasarelski is a Professor in the Telecommunications Department at New Bulgarian University (NBU), where he has taught since 2003. His academic career includes roles as assistant professor (2003–2015) and current professor status since 2015. He has directed NBU's Telecommunications bachelor's program (2005–2015) and actively participates in departmental councils and seminars. Education : PhD in Radio Transmitter and Receiver Equipment (2009), Master's in Telecommunications Systems (2003), Bachelor's in Telecommunications Systems (2001), Specialist degree in Telecommunications (1999) His research focuses on radio communications , wireless networks , and WEB technologies , with recent publications exploring 5G network optimization, microwave antennas for space-based radar, IoT vehicle tracking, and femtocell technologies. He has contributed to projects including satellite studio development, WLAN network analysis, and electromagnetic field safety studies. Recent publications highlight trends in 5G network algorithms , radio wave attenuation modeling , and AI-driven cybersecurity . His work often intersects telecommunications engineering with practical applications in smart city infrastructure and educational technology . He teaches courses such as: Network Administration and Virtualization Applied Software for Telecommunications Mobile Communications WEB Services Installation Computer Hardware/Software Installation Technical expertise includes LINUX systems , cloud computing , VoIP security , and WiMAX protocol analysis . He holds advanced English and Russian language proficiency alongside native Bulgarian.

Valentina Volodymyrivna DvorakView profile

Assistant Professor

• Computer Vision
• Deep Learning
• IT Project Management
• +3 more

Valentina Volodymyrivna Dvorak serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University. Her professional activities span across computer vision, deep learning, IT project management, and business analysis, with significant contributions to both academic research and practical applications in these fields. Dr. Dvorak holds a Candidate of Technical Sciences degree with specialization in Pressure Processing Processes and Machines. Her educational background includes a Master's in Metallurgical Equipment (2004) and a degree in Organizational Management (2010) from Donbass State Machine-Building Academy. This unique combination of metallurgical engineering and computer science expertise informs her interdisciplinary research approach. Her research interests prominently feature Computer Vision and Deep Learning applications across diverse domains including medical diagnostics, satellite imagery analysis, and industrial process optimization. Dr. Dvorak has made significant contributions to convolutional neural network implementations, automated recognition systems, and polarization-correlation microscopy techniques for biomedical applications. Her work bridges theoretical computer science with practical implementations in healthcare, manufacturing, and environmental monitoring. Analyzing her publication record reveals a strong focus on practical applications of deep learning, with particular emphasis on computer vision systems for medical diagnostics, industrial quality control, and environmental monitoring. Her research demonstrates consistent progression from fundamental metallurgical process optimization to advanced AI applications. Certificate of acknowledgment as scientific supervisor for BLACK SEA SCIENCE 2022 Educational Grant from SoftServe for developing training course (2021) Dr. Dvorak actively contributes to IT education through multiple textbooks including 'Deep Learning for Computer Vision,' 'IT Project Management,' and 'Intelligent Data Analysis.' Her professional development includes numerous certifications from Sigma Software University and SoftServe, reflecting her commitment to staying current with industry practices. She serves as a member of the Bukovina Information Technology Cluster and provides scientific consulting for SKB 'Electronmash KM.'

Yatsko Oksana MyroslavivnaView profile

Associate Professor

• Computer-oriented methodological systems for teaching
• Data mining and business analytics
• Game theory applications in economics
• +4 more

Yatsko Oksana Myroslavivna is an Associate Professor at the Department of Computer Science, Chernivtsi National University named after Yuriy Fedkovych. She holds a Candidate of Pedagogical Sciences degree (specialty 13.00.02 - theory and methods of teaching informatics) and has been certified as an Associate Professor since 2022. Her research focuses on computer-oriented methodological systems for teaching computer disciplines, with specializations in data mining for business applications, game theory implementation in economic decision-making, web technologies development, and algorithm design. She actively contributes to educational literature with multiple textbooks on Discrete Mathematics, Operations Research, Web Technologies, and Systems Modeling. Her professional engagements include membership in the Bukovina Information Technology Cluster, Chernivtsi Mathematical Society, and participation in international conferences like SPIE Optical Engineering and Correlation Optics. She has completed advanced certifications in machine learning, data visualization, and online education technologies from Prometheus, SoftServe, and other institutions. Her publications demonstrate expertise in strategic business analysis, cross-platform decision support systems, and educational software development. The 15 most recent works (2023-2024) cover data structures, game theory applications, web development tools, and polarization-based biomedical diagnostics. She serves as an expert for Ukraine's Ministry of Education and National Agency for Quality Assurance in Higher Education.

Orlin DavchevView profile

Associate Professor

• Architecture
• Interior Design
• Digital Technologies in Architecture
• +5 more

Prof. Dr. Arch. Orlin Davchev serves as the Dean of the Faculty of Architecture at the University of Architecture, Civil Engineering and Geodesy (UACEG) in Sofia, Bulgaria. He holds the academic position of Associate Professor in the Department of Interior and Design for Architecture since 2015 and has been a lecturer in the same department since 2005. As Dean, he oversees all academic and administrative functions of one of UACEG's primary faculties. Davchev earned his Doctoral degree in 2013 with a dissertation on "EXPO - Main architectural aspects of world exhibitions" from UACEG. He completed his Master's degree in Architecture with excellent results from the Department of Interior and Design for Architecture at UACEG between 1998-2003. Earlier, he graduated with excellent results from the Technical College of Electronics and Electrical Engineering in Plovdiv (1993-1997). Professor Davchev's research focuses on the intersection of traditional architectural practices with emerging digital technologies. His work explores parametric design methodologies, digital transformation in architectural practice, and the evolution of hotel architecture in the 21st century. He has extensively researched World Exhibitions (EXPO) as significant cultural and architectural phenomena, examining their impact on contemporary design trends. His scholarship also addresses sustainable approaches to architectural design, particularly in hospitality architecture and urban reconstruction projects. Davchev's publication record reveals a consistent trajectory from historical architectural analysis toward increasingly technology-focused research. His early work centered on EXPO exhibitions and historical architectural sites like the Late Roman residence "Scretisca," while his recent publications emphasize digital technologies, parametric design, and contemporary architectural challenges. This evolution reflects the broader shift in architectural practice toward computational methods and digital workflows. 2018 – Golden Capital 2018, Union of Architects in Bulgaria 2019 – National Award 'Arhitekton' from Union of Architects in Bulgaria 2019 – M2 Classification Award for Architect of the Year (Hotel category) 2015 – First prize for reconstruction of Vratsa's central pedestrian zone 2011 – Sofia Architectural Salon Award for Lom riverfront reconstruction As Dean and academic leader, Davchev has supervised numerous student projects and research initiatives, particularly in the areas of parametric design and architectural reconstruction. He has served on juries for major architectural competitions including the Ideal Standard Bathroom of the Year, Dibla Design Awards, and the National Building of the Year competition. His professional studio MIODESIGN, co-founded with Assoc. Prof. Dr. Arch. Maria Davcheva, has provided practical design experience that informs his academic work. Davchev has also led research projects including the Competence Center for Digital Technologies in Architecture, Design and Spatial Planning under the Operational Program 'Science and Education for Intelligent Growth'. Professor Davchev maintains active involvement with architectural laboratories and workshops, particularly the Smart Fab Lab at UACEG where he has mentored students in digital fabrication and parametric design. His leadership extends to international collaborations, including participation in the Dynamic Fields architectural workshop in Bucharest with Patrik Schumacher (Zaha Hadid Architects) and multiple ARХ+ International Architectural Workshops on parametric design in Varna.

• Pneumatic Systems
• Hydraulic Systems
• Electropneumatic Positioning
• +4 more

HRISTO NEDEV HRISTOV is a Professor and Vice-Rector at the Technical University of Gabrovo, Bulgaria. He is affiliated with the Faculty of Mechanical Engineering and Instrument Making, where he serves in the Energy Technology Department. With a Doctorate in Technical Sciences, he has established himself as a prominent figure in the fields of pneumatic and hydraulic systems, control engineering, and renewable energy. His research interests span across several key areas in engineering: Pneumatic and electropneumatic systems Hydraulic power transmission and control Fluid mechanics and dynamics Renewable energy sources and applications Mathematical modeling of mechanical systems Energy efficiency in fluid power systems Analysis of his recent publications reveals a strong focus on advanced control techniques for pneumatic systems, particularly using Pulse Width Modulation (PWM) with high-speed valves. His work demonstrates significant contributions to improving the precision, efficiency, and linear characteristics of electropneumatic positioning systems. There's also a consistent thread of research into renewable energy applications, particularly in the Gabrovo region of Bulgaria. Professor Hristov has successfully supervised six PhD students, with research topics centered around dynamic processes in electrohydraulic and electropneumatic systems, cavitation phenomena, and PWM control applications. His grant portfolio includes eight completed research projects, ranging from internal university projects to externally funded initiatives like the Competence Center "Intelligent Mechatronic, Eco- and Energy-Saving Systems and Technologies." His laboratory work appears to focus on experimental test stands for studying pneumatic and hydraulic systems, with specialized equipment for analyzing frequency responses, wear resistance, and dynamic processes in fluid power systems.

• Teletraffic Engineering
• Biometric Systems
• Machine Learning
• +5 more

Dr. Georgi Ivanov Georgiev is an Associate Professor at the Department of Communication Equipment and Technologies , Technical University Gabrovo , with over 15 years of experience in teletraffic engineering, biometric systems, and artificial intelligence applications. He has led multiple research projects on network security, voice/facial recognition, and smart home systems. Current academic rank: Associate Professor Key collaborations: University of Ruse, IEEE, MDPI, AIP Publishing Research Interests : Biometric diagnostics with AI Machine learning for network traffic Neural networks (FFNN, GRNN, PNN) Smart home systems Teletraffic modeling Optical communication systems Recent Article Trends focus on hybrid AI methodologies (neural networks, decision trees, SVM) applied to: Noise analysis in communication systems Biometric authentication Internet traffic optimization Signal processing Smart environment monitoring Scientific Awards : Crystal Prize 2017 for Best Paper Multiple Best Paper awards at international conferences (2016, 2018) Student Advising : Reviewed thesis works on topics including Wind Farm Safety , Power Grid Modeling , and Lightning Protection Systems . Publications include 6 textbooks and 97 peer-reviewed works.

Zvezditsa Petrova NenovaView profile

Professor

• Sensor Systems
• Environmental Monitoring
• Humidity Sensing
• +6 more

Zvezditsa Petrova Nenova is a distinguished faculty member at the Technical University of Gabrovo, Bulgaria, where she serves in the Department of Fundamentals of Electricity and Electrical Engineering. With a career spanning nearly four decades, she has established herself as a leading expert in sensor systems, environmental monitoring, and measurement technologies. Her extensive research portfolio includes 15 books, 139 scientific publications, and leadership in 33 research projects, demonstrating her significant contributions to engineering education and research. Dr. Nenova's research focuses on the development and application of advanced sensor systems for environmental monitoring, with particular expertise in humidity sensing elements, thin-film technologies, and measurement systems. Her work bridges materials science, electrical engineering, and environmental applications, resulting in numerous innovations in sensor design and implementation. She has pioneered research in doped oxide films, graphene-based sensors, and piezoelectric measurement systems, contributing significantly to the field of environmental monitoring technology. Analysis of her recent publications reveals a consistent focus on improving humidity sensing technologies through advanced materials science. Her work increasingly incorporates nanotechnology approaches, particularly with graphene and doped metal oxides, while maintaining practical applications for environmental monitoring systems. The research shows a progression from fundamental material characterization to sophisticated sensor system integration, demonstrating both theoretical depth and practical implementation. Dr. Nenova has successfully supervised three PhD students to completion, guiding research in air environment monitoring systems and advanced sensor technologies. Her extensive project portfolio includes both national and international collaborations, with significant participation in EU-funded programs including Erasmus+ and Leonardo da Vinci initiatives focused on vocational education and industrial automation.

Robert PenchovskyView profile

Professor

• Synthetic Biology
• Bioinformatics
• Molecular Genetics
• +4 more

Robert Penchovsky is a Full Professor of Molecular Genetics, Synthetic Biology, and Bioinformatics at Sofia University 'St. Kliment Ohridski', Bulgaria. He heads the Laboratory of Synthetic Biology and Bioinformatics within the Faculty of Biology's Department of Genetics. His responsibilities encompass student training, course development, doctoral supervision, and leading national/international research projects. Education: Postdoctoral Study: RNA synthetic/computational biology, Yale University PhD: Genetics, microfluidics, and DNA computing, University of Cologne Associate's Degree: Applied computer sciences and bioinformatics, Sofia University Master's Degree: Biochemistry, microbiology, and genetics, Sofia University Research Interests: Prof. Penchovsky's work integrates synthetic biology, bioinformatics, and molecular genetics to develop novel antibacterial therapies. Key areas include computational design of allosteric ribozymes, engineering antisense oligonucleotides targeting bacterial riboswitches, and high-throughput drug screening. His lab focuses on combating antibiotic resistance through RNA-based therapeutic strategies and rational drug design. Publications: His recent articles (2022–2025) predominantly explore antibacterial drug development, riboswitch engineering, and computational biology. Trends include leveraging antisense oligonucleotides for pathogen inhibition, bioinformatic screening of riboswitches, and developing RNA-based biosensors for therapeutic applications. Awards: Outstanding Scientist Award, International Research Awards on Sensing Technology (2023) Scientific Excellence Award, Union of Scientists in Bulgaria (2015) Advising & Grants: He has supervised 16 master's and 5 doctoral students to completion, with current advisees including award-winning researchers. He leads 13+ projects, such as: Engineering functional nucleic acids for synthetic gene control (KP-06-H31/18) Antisense oligonucleotide design for antibacterial agents (KP-06-H63/1) Software development for allosteric ribozyme design (70-123-194/12.02.2024) Laboratory & Team: The Laboratory of Synthetic Biology and Bioinformatics includes Assistant Professors (Martina Traykovska, Nikolet Pavlova), researchers, and doctoral students. The team focuses on RNA-based drug discovery, genomic analyses, and developing synthetic biology tools for biomedical applications.

Aleksandar Dimov DimovView profile

Associate Professor

• Software Reliability Engineering
• Neuro-Fuzzy Systems
• Machine Learning
• +5 more

Aleksandar Dimov Dimov is an Associate Professor at the Department of Software Technologies, Faculty of Mathematics and Informatics (FMI), University of Sofia. He specializes in software reliability engineering, neuro-fuzzy systems, and cloud computing architectures. His research focuses on optimizing software systems through adaptive methodologies and addressing challenges in distributed computing environments. His work spans over two decades, with contributions to neuro-fuzzy optimization for manufacturing, machine learning applications in healthcare, and architectural patterns for scalable systems. Key areas include improving software reliability models, cloud storage performance, and privacy-preserving software design. He has published extensively on topics like microservices, service-oriented architectures, and educational technology. Dr. Dimov's publications reflect a strong emphasis on practical solutions for real-world challenges in software engineering and data systems. His research bridges theoretical models with applied implementations, particularly in domains requiring high precision and adaptability.