جست‌وجوی استاد و پژوهشگر

Casey Reasمشاهده پروفایل

استاد

• Visual Arts
• Computer Programming
• Digital Media
• +۳ مورد دیگر

Casey Reas is a Professor of Design Media Arts at the University of California, Los Angeles (UCLA), within the UCLA School of the Arts and Architecture. Previously, he served as an Associate Professor at Interaction Design Institute Ivrea (2001–2003). His academic background includes a BSc in Design from the University of Cincinnati (1996) and an MSc in Media Arts and Sciences from MIT (2001). Reas co-created the open-source programming language Processing with Ben Fry, revolutionizing visual arts and education globally. He is renowned for blending art and technology, creating generative works exhibited in institutions like the Centre Georges Pompidou and the Whitney Museum of American Art. His research focuses on computational aesthetics, algorithmic art, and digital media's intersection with music and design. Education: Bachelor of Science in Design, University of Cincinnati, 1996 Master of Science in Media Arts and Sciences, MIT, 2001 Research Interests: Reas explores the synergy between code and creativity, emphasizing generative systems, real-time visualization, and interactive installations. His work often addresses themes of randomness, pattern formation, and human-computer interaction. Notable projects include Processing language development, music video collaborations with The National, and immersive installations like Sketch Machine and Warm Up . Recent Collaborations: Music videos for The National’s Sleep Well Beast (2017), blending algorithmic visuals with Grammy-winning music. Interactive installations such as Impure Functions (2017) and Warm Up (2017), co-created with UCLA’s Conditional Studio. Public commissions like Sketch Machine (2018), an open-source drawing tool for GIPHY. Awards: Contributor to The National’s Grammy Award for Best Alternative Music Album ( Sleep Well Beast , 2018). Labs/Teams: Reas leads the Reas Studio and collaborates with UCLA’s Arts Conditional Studio, focusing on experimental software, generative art, and interdisciplinary projects.

• Digital Media Art
• Electronic Music
• Hip-Hop
• +۵ مورد دیگر

Paul D. Miller, known professionally as DJ Spooky, That Subliminal Kid, is a Professor of Music and Mediated Art at The European Graduate School (EGS). Based in New York City, he is an experimental electronic and hip-hop musician, conceptual artist, and writer whose work spans music production, film, multimedia installations, and critical theory. He has released over a dozen albums pioneering 'illbient' and trip hop genres, authored influential books including Rhythm Science and Sound Unbound , and exhibited internationally at venues like the Venice Biennale and Andy Warhol Museum. Education: Bowdoin College: Studied philosophy and French literature; thesis on Richard Wagner's Gesamtkunstwerk as precursor to new media. Research Interests: Miller's work centers on remix culture as a postmodern methodology, exploring intersections of sound, image, and technology. His theoretical framework positions the DJ as a 'post-subjective auteur' who creates meaning through layered connections across time, culture, and media. Key projects include Rebirth of a Nation (reworking D.W. Griffith's film to address racial history) and Terra Nova (Antarctica sound recordings addressing climate change), demonstrating his focus on historical reinterpretation and environmental crisis through digital media. Publications: His 14 scholarly articles (2001-2009) analyze remix as cultural practice across domains from album art history ( The Inner Sleeve ) to Baudrillard's philosophy ( Baudrillard: A Remembrance ). The corpus reveals consistent investigation into how sampling, digital layering, and media archaeology reshape narrative, memory, and cultural identity in the information age. Awards: No scientific awards or fellowships were documented in the source text. Advising and Grants: The source text provides no information regarding students supervised, academic advising, or research grants administered by Miller. Labs and Teams: Miller operates through project-based collaborations rather than fixed labs, forming temporary collectives with institutions like the American Museum of Natural History (for Terra Nova ) and artists including Yoko Ono, Ryuichi Sakamoto, and choreographer Francesca Harper. His 'Unfinished Stories' project with Pulitzer-winning critic Margo Jefferson exemplifies his interdisciplinary approach bridging dance, music, and social commentary.

Vasil Georgiev Tsunizhevمشاهده پروفایل

استاد

• Cloud Computing
• Distributed Systems
• Grid Computing
• +۲ مورد دیگر

Vasil Georgiev Tsunizhev is a Professor of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University, with office hours Monday and Wednesday 13:00-14:00 in room FMI-110. Contact: v.georgiev@fmi.uni-sofia.bg, +359 2 8161-594. His research spans cloud computing, distributed systems, and grid technologies with emphasis on resource management, load balancing, and service modeling. Key contributions include numerical solutions for cloud servicing, distributed coordination mechanisms, and fault-tolerant information services. His work integrates open-source components and addresses scalability challenges in cloud environments. Analysis of his 2009-2015 publications reveals consistent focus on cloud infrastructure optimization, with recurring themes in resource frameworks, quality-of-service models, and distributed coordination. His research demonstrates strong technical depth in numerical modeling and system architecture while addressing real-world scalability and fault tolerance requirements. Professor Tsunizhev collaborates internationally through projects like CoreGRID (contributing to grid security white papers) and works with researchers including R. Zhelev and L. Kirchev. His laboratory work focuses on commodity grid platforms and lightweight resource management systems for distributed computing environments.

• Computer Technology in Fine Arts
• 3D Graphics
• Graphic Design
• +۴ مورد دیگر

Prof. Svetoslav Kosev is a faculty member at the Faculty of Fine Arts of the University of Veliko Tarnovo St. Cyril and St. Methodius. His research bridges computer technology with visual arts , focusing on 3D modeling , digital media , and interactive art . He actively explores the ethical implications of AI in art and integrates augmented reality into classical graphic works. Fields of Interest : Computer technology in fine arts, 3D graphics, interactive multimedia, digital humanities Projects : Founder of the annual Vision Forum for 3D graphics, leader in digitization initiatives, and developer of digital art platforms Research Focus : Kosev investigates how digital tools like AR and 3D printing transform traditional art practices. His work spans artistic innovation and educational technology , particularly in training future artists through interdisciplinary methods . Google Scholar entries reflect his engagement with AI ethics , algorithmic art , and technological aesthetics . Publications highlight collaborations between Bulgarian and Polish institutions , with applications in VR technologies , calligraphy , and interactive visual works . He has contributed to academic discourse through edited volumes and conference proceedings.

Valeriya Nikolaeva Simeonovaمشاهده پروفایل

دانشیار

• Machine Learning
• Metagenomics
• Bioinformatics
• +۴ مورد دیگر

Valeriya Nikolaeva Simeonova is an Associate Professor at the Faculty of Mathematics and Informatics, University of Sofia, specializing in Information Technologies . Her research focuses on interdisciplinary applications at the intersection of Bioinformatics , Machine Learning , and Parallel Computing , particularly for error discovery in metagenomics data and QSAR modeling in plant biology. Her work emphasizes Next-Generation Sequencing (NGS) data analysis, where she develops algorithms for error detection and correction. She has contributed to optimizing genome assembly techniques through soft computing approaches and explored distributed computing for financial time series forecasting. Notable publications include studies on Golden Root in vitro culture growth (2013) and metagenomics NGS error detection (2015) in journals like BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT . Her collaborations span institutions in Bulgaria, France, and Belgium.

• Biomimetic Engineering
• Parametric Design
• Evolutionary Computation
• +۳ مورد دیگر

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.

• Discrete Mathematics
• Coding Theory
• Algorithms
• +۶ مورد دیگر

Assoc. Prof. Zlatko Georgiev Varbanov is a distinguished academic at the Faculty of Mathematics and Informatics, University of Veliko Tarnovo (Bulgaria). With expertise spanning discrete mathematics, coding theory, and software development, he has established himself as a prominent researcher in both theoretical and applied computer science domains. His scholarly work bridges mathematical theory with practical implementations, particularly in DNA coding, quantum error correction, and software engineering principles. Dr. Varbanov's research interests encompass a diverse range of topics including Discrete Mathematics, Coding Theory, Algorithms, Programming, DNA codes, Quantum codes, and Information security. His scholarly work demonstrates a consistent focus on the intersection of algebraic structures and practical coding applications, with particular emphasis on self-dual codes over finite fields and their applications in DNA computing and quantum information theory. In software engineering, he has made significant contributions to design patterns, asynchronous programming in C#, and static site generation techniques. Analysis of Dr. Varbanov's recent publications reveals a dual research trajectory: one strand focusing on theoretical aspects of coding theory (particularly DNA codes and quantum codes), and another addressing practical software engineering challenges. His work on design patterns, SOLID principles, and asynchronous programming in C# demonstrates his commitment to improving software development practices. The publications on static site generation and data storage services reflect his engagement with contemporary web development technologies and their optimization. Dr. Varbanov has been actively involved in numerous research projects, with current engagements extending into 2025. These projects focus on AI-driven information systems, mobile technologies for students with special needs, digital accessibility for visually impaired users, and enhancement of research indicators for faculty members. His collaborative work spans multiple institutions and demonstrates a strong commitment to both theoretical research and practical applications that address real-world challenges.

Valentina Volodymyrivna Dvorakمشاهده پروفایل

استادیار

• Computer Vision
• Deep Learning
• IT Project Management
• +۳ مورد دیگر

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.'

• Animation
• Film Production
• Advertising
• +۳ مورد دیگر

Vesela Dancheva-Bogdanova serves as Assistant Professor in the Department of Cinema, Advertising and Show Business at New Bulgarian University. An acclaimed animated film director and producer, her internationally recognized work has screened at over 90 festivals worldwide, earning multiple awards including the Bulgarian Film Academy's Best Animated Film honor for both 'Anna Blume' (2009) and 'Traveling Country' (2016). Her educational background includes: Cum Laude graduation from Willem de Kooning Art Academy, Rotterdam Animation specialization at School of Visual Arts, New York Master of Arts from National Academy of Arts in Sofia (2018) Dancheva-Bogdanova's research integrates experimental animation techniques with social commentary and literary adaptation. Her creative practice explores human relationships, political structures, and abstract concepts through innovative visual storytelling, bridging commercial advertising and artistic expression in contemporary animation. Her 15-year filmography reveals evolving technical mastery and thematic depth, with recent works like 'Trace' (2022) demonstrating sophisticated digital techniques while maintaining focus on societal critique. The body of work consistently engages with feminist perspectives, environmental issues, and cultural identity through both narrative and abstract forms. Key scientific recognition includes: Best Animated Film of 2009 (Bulgarian Film Academy) Best Animated Film of 2016 (Bulgarian Film Academy) As co-founder of Kompot Kolektiv production company, she leads international co-productions supported by entities like Robert Bosch Fund and Bulgarian National Film Center. Her academic contributions include developing the 'Animation in Advertising' curriculum while serving on juries for prestigious animation festivals. Professional leadership extends through membership in the Animation Guild of the Bulgarian Film Directors Association and representation of Bulgaria in the European Animation Association (EAA).

Milena Nanovaمشاهده پروفایل

دانشیار

• Residential Architecture
• Housing Renovation
• Sustainable Design
• +۳ مورد دیگر

Assoc. Prof. Dr. Arch. Milena Nanova serves as Head of the Department of Residential Buildings at the Faculty of Architecture, University of Architecture, Civil Engineering and Geodesy (UACEG). She teaches specialized courses in residential building design and pre-diploma projects, with regular consultation hours. Her educational background includes a Doctorate in Architecture from UACEG (2015) focusing on renovation of industrialized housing, and a Master's in Architecture from the same institution (1987). Nanova's research focuses on: Renovation of residential environments and housing policy Low-rise, high-density housing structures Application of digital technologies in architectural design Sustainable urban development and energy efficiency She has led significant research projects including 'Optimizing residential design using automated technologies' (2024) and participated in international collaborations like the TEMPUS program developing urbanism curricula. Her publication history shows strong focus on housing innovation, with recent work exploring digital generative design methods (2023) and hybrid collective living models (2021). She maintains active professional practice with numerous commercial and residential projects completed between 2012-2023, including shopping malls, office buildings, and housing complexes. Nanova is fluent in English and French, and maintains membership in the Bulgarian Chamber of Architects. Her extensive design portfolio demonstrates practical application of her research in housing and urban regeneration.

• Digital Media
• Architectural Design
• Computational Geometry
• +۵ مورد دیگر

Alisa Andrašek is a Professor of Digital Media at The European Graduate School (EGS) and a Reader in Architecture and Computation at University College London’s Bartlett School of Architecture. She directs the MArch Graduate Architectural Design programme and the Wonderlab, a research lab merging technology, architecture, and design. Previously, she taught at Columbia University, Pratt Institute, and other institutions globally. Her work focuses on computational systems in architecture, generative design, and interdisciplinary research. Education: Master’s in Advanced Architectural Design, Columbia University Research interests emphasize computational geometry, generative algorithms, and speculative materialism. Her projects, such as biothing and Bloom Games, explore adaptive architectural systems and urban interventions. She co-founded CONTINUUM, a research collective in computational design, and has curated exhibitions at venues like the Venice Biennale and Centre Pompidou. Scientific Awards: Europe 40 under 40 (2011), FEIDAD (2004), Metropolis Next Generation Design Competition (2005) Advising and Grants: Andrašek has mentored students across multiple institutions and led collaborative projects like Wonderlab. Her work bridges academic research with public installations, such as Bloom Games during the London Olympics. Labs/Teams: Director of Bartlett’s Wonderlab, co-founder of biothing and CONTINUUM.

• Architectural Computation
• Generative Design
• Evolutionary Computing
• +۷ مورد دیگر

John Hamilton Frazer (b. 1945) is a Professor of Digital Design at The European Graduate School / EGS. He is internationally recognized as the 'father of architectural computation,' pioneering generative design, evolutionary computing, and CAD systems. His career spans roles as Head of the School of Design at Hong Kong Polytechnic University and Queensland University of Technology, where he emphasized sustainable design and interactive systems. Education: Stowe School (Preparatory) Architectural Association (Architecture) University of Cambridge (Architecture) Research focuses on evolutionary architectural processes , including the Evolutionary Digital Design Process (EDDP) and autotectonics. His work integrates computational tools with ecological principles, proposing architecture as a form of 'artificial life' with metabolic balance. Notable contributions include the Seven Year Morphogenesis Project (1989–1996) and patents for CAD software interfaces like the 3D cursor. Awards: Multiple innovation awards for Autographics software, including the British Design Award and Toshiba Year of Invention Finalist recognition. His 1995 book An Evolutionary Architecture redefined architectural design processes. Labs/Teams: Founded the Technical Research Division at Cambridge (now Martin Center), Ulster Center for Computer-Aided Design, and Autographics Software (NI) Ltd. His work bridges academia and industry, influencing global CAD education and design practices.

• Foreign Language Education
• Computer-Assisted Language Learning
• Translation Studies
• +۳ مورد دیگر

Milen Chipchanov is an Assistant Professor at New Bulgarian University (NBU) in the Department of Foreign Languages and Cultures. He has over 35 years of teaching experience in French language education, focusing on courses such as written and oral translation, phonetics, and the integration of multimedia and new technologies in foreign language instruction.

• Digital Scenography
• Computer Graphics
• 3D Animation
• +۷ مورد دیگر

Petko Yakimov is an Assistant Professor at the Design Department of New Bulgarian University. With a PhD in Digital Scenography and Character in Cinema, his academic roles include teaching undergraduate courses in Human-Machine Systems and Image Analysis. He combines technical expertise with artistic sensibilities across multiple disciplines. PhD: Digital Scenography & Character in Cinema, New Bulgarian University (2016) MSc: Film & Television Direction, New Bulgarian University (2013) MFA: Scenography, National Academy of Arts (2001) BFA: Scenography, National Academy of Arts (1996) His research focuses on digital scenography , 3D animation , and virtual reality , with recent work exploring generative art techniques in Houdini and VR applications for museum visualization. Publications span topics from deepfake technology in artistic creation to 3D compositing workflows. Professional experience includes: Technical Specialist, NBU TV Studio (2019-2022) Lecturer in Multimedia & Virtual Reality at Academy for Musical, Dance and Visual Arts "Prof. Asen Sarafiev" (2018-2022) Leadership roles in computer graphics at Bulgarian National Television (2005-2011) CGI contributions to films like "Deep Shock" and "Dragon Fighter"

• Machine Learning
• Ensemble Models
• Data Analytics
• +۵ مورد دیگر

Maria Vitalievna Talakh serves as an Assistant Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University. Holding a Candidate of Biological Sciences degree, she bridges the gap between biological sciences and computer science with her unique interdisciplinary expertise. Education: Bohdan Khmelnytskyi National University of Cherkasy (2018): Systems Analysis, Qualification: Systems Analyst (Diploma with honors) Yuriy Fedkovych Chernivtsi National University (2004): Ecology and Environmental Protection, Qualification: Master of Ecology (Diploma with honors) Candidate of Biological Sciences (2009): Specialty 03.00.16 – ecology, dissertation on 'The role of the forest beech as an edificator species in the forest ecosystem' Research Interests: Dr. Talakh's research spans machine learning algorithms (particularly ensemble models), big data analytics, computer vision, and their applications in life sciences and ecological modeling. Her work demonstrates how computational methods can solve complex problems in environmental monitoring, medical diagnostics, and software engineering. She has developed intelligent monitoring systems for climate, air temperature, plant health, and software test automation, showing the versatility of her methodological approaches. Publication Trends: Her recent scholarly output reveals a strong focus on practical applications of machine learning across diverse domains. The majority of her publications from 2020-2024 explore convolutional neural networks, ensemble methods, and big data processing techniques applied to environmental monitoring, medical diagnostics, and software quality assurance. She frequently collaborates with researchers across disciplines, particularly with colleagues at her institution on projects involving satellite data analysis and ecological monitoring systems. Professional Activities: Member of the Bukovina Information Technology Cluster named after Joseph Schumpeter (Chernivtsi IT Cluster, Cluster Bit Association) since 2019 Scientific consultant for Limited Liability Company 'KM TRADE: Security Systems' (2019) Teaching: Dr. Talakh teaches courses related to data mining, intelligent data analysis, ensemble architectures, geoinformation systems, and big data technologies. She has authored numerous textbooks and teaching materials in these areas, demonstrating her commitment to both research and education in computational methods.