جستجوی استاد راهنمای دانشگاهی

Krzysztof Zygalskiمشاهده پروفایل

مدرس

• Film Production
• Documentary Filmmaking
• Advertising
• +۳ مورد دیگر

Krzysztof Zygalski is a Lecturer at the Multimedia Studio of the Academy of Fine Arts in Katowice since 2013. Born in 1955, he holds degrees in Material Engineering (AGH University of Science and Technology, 1975–1980) and Film/TV Direction (University of Silesia in Katowice, 1980–1984). A former student of renowned director Krzysztof Kieślowski, Zygalski has produced/directed over 50 films, including documentaries, features, and commercials. He co-founded the Terminals Film Studio in 1991 and has contributed to multimedia projects blending art and technology, such as the NEBULA audio-visual experiment (awarded at Festival Animator 2018 and Vimeo Staff Picks). His work spans film production, educational multimedia, and collaborative ventures with institutions like the Polish National Radio Symphony Orchestra. Projects include immersive multimedia spectacles (e.g., CallTrane with live music and real-time graphics) and academic research on wayfinding systems and digital typography. His contributions have been showcased internationally, including at the Beijing 1+1 Art Centre and the Gutenberg Museum in Mainz. Awards: Special Award at Festival Animator 2018, multiple nominations (O!PLA, Anima Mundi), and recognition for multimedia innovation. Key Roles: Film producer, documentary maker, and educator in multimedia arts. Research Interests: Integrating technology with artistic expression, cultural heritage preservation through design, and interdisciplinary multimedia collaborations.

Alexis Lechervyمشاهده پروفایل

استادیار

• Multimodal Learning
• Frugal AI
• Metric Learning
• +۳ مورد دیگر

Alexis Lechervy is an Assistant Professor at the University of Caen within the GREYC Laboratory's Image team. His research develops machine learning methods for efficient multimedia analysis and retrieval systems. Core research themes include: Multi-exit neural architectures for adaptive computation Multimodal fusion strategies for visual and textual data Metric learning for content-based retrieval Interactive learning systems for human-AI collaboration Resource-efficient deep learning models Dr. Lechervy's work bridges fundamental machine learning research with applications in medical imaging, biometrics, and multimedia retrieval. His algorithms optimize the balance between computational efficiency and predictive accuracy in resource-constrained environments.

Meghan Mihalمشاهده پروفایل

استاد

• Economics
• Monetary Policy
• International Economics
• +۳ مورد دیگر

Professor Meghan Mihal is a faculty member in the School of Business at St. Thomas Aquinas College (STAC), where she has taught since 2009. She specializes in microeconomics, macroeconomics, global economics, and quantitative methods, emphasizing student engagement and mentorship. As an advisor for the Business Club, she organizes networking trips to Bloomberg and CNBC. Her research spans monetary policy impacts on Latin American economies, gender employment bias in popular culture, and pedagogical innovations like podcast-based teaching. Collaborations include co-authoring a paper on Bloomberg Terminal applications for the College Fed Challenge with Professor Rossen Trendafilov. Education: Undergraduate degree from Albright College, graduate studies at Fordham University. Administrative leadership includes founding and chairing STAC's Faculty Senate to advocate student-centric policies. Personal interests include traveling to Chicago and Long Beach Island, NJ.

Dwight Frizzellمشاهده پروفایل

استاد

• Audio Art
• Multimedia Art
• Performance Art
• +۳ مورد دیگر

Dwight Frizzell is a Professor and Head of the Sound Program at the Kansas City Art Institute. An interdisciplinary artist with expertise in video, performance, installation, music, audio art, and writing, his work bridges fine and performing arts. His projects include explorations of historical figures like Harry S. Truman and Charles Darwin, notably featured in the Peabody-awarded 'Lost and Found Sound' series on National Public Radio. Education : B.F.A. from Kansas City Art Institute, Terminal degree in Sound Design from University of Missouri-Kansas City Research Interests focus on audio-visual integration, historical narratives in art, and interdisciplinary methodologies. His work often combines archival research with creative practice. Scientific Awards : Peabody Award (for 'Lost and Found Sound' series) Frizzell has collaborated internationally, producing works like an opera based on Charles Darwin's life, and his art has been exhibited in major international galleries.

Serkan Özbayمشاهده پروفایل

دانشیار

• Electrical and Electronics Engineering
• Signal Processing
• Computer Vision
• +۴ مورد دیگر

Serkan Özbay serves as an Associate Professor in the Department of Electrical and Electronics Engineering at Gaziantep University's Faculty of Engineering, Turkey. With academic appointments since 2003, he progressed from Lecturer to his current position (2024), maintaining continuous affiliation with the institution where he also completed all his degrees. His career demonstrates deep institutional integration and vertical advancement within the same department. His academic credentials were entirely earned at Gaziantep University: Doctorate (2007-2015): Institute of Science, Electrical and Electronic Engineering Master's (2003-2006): Institute of Science, Electrical and Electronics Engineering (Thesis) Licence (1997-2002): Faculty of Engineering, Electrical and Electronics Engineering Özbay's research centers on signal processing and machine learning applications, with significant contributions to computer vision for medical diagnostics (sinus segmentation, lung cancer detection) and security systems (image/video forgery analysis). His work bridges theoretical algorithms with practical implementations in edge computing and biomedical devices, evidenced by projects like real-time fall detection systems and metamaterial antennas. Recent publications show intensified focus on deep learning since 2020, particularly convolutional neural networks for medical imaging and object tracking. His publication trajectory reveals strategic interdisciplinary expansion: early work (2007-2015) concentrated on spectrum sensing and wireless communications, while post-2020 output pivoted toward AI-driven medical applications and digital forensics. Approximately 70% of his 22 publications (2019-2023) involve deep learning implementations, with strong institutional collaboration patterns—85% co-authored with Gaziantep University researchers. Journal publications predominantly appear in Q2-Q4 SCI-indexed engineering journals, while conference papers target international venues in computer vision and biomedical engineering. As an academic advisor, Özbay has supervised 16 graduate theses (1 PhD, 15 Master's) between 2017-2025, with 11 completed in 2020-2023 alone. Current advisees include students developing Raspberry Pi-based plate recognition systems and real-time fall detection solutions. He additionally mentors 15 undergraduate students in senior design projects annually, as evidenced by 2024 EEE498/499 project meetings. Administrative leadership includes Deputy Head of Department (2016), Erasmus Coordinator (2015-2016), and Institute Board membership (2020-2023).