جست‌وجوی استاد و پژوهشگر

Danni Novakovicمشاهده پروفایل

مدرس ارشد

• Cryptography
• Information Security
• Formal Methods of Specification
• +۴ مورد دیگر

Dr. Danni Novakovic serves as a part-time Senior Lecturer Practitioner at Anglia Ruskin University within the Faculty of Science and Engineering, specializing in Computing and Information Science. She joined ARU in 2019 after holding leadership roles including Head of School of Computer Science at the University of Bedfordshire and Head of Computing at the University of West London, with an academic career spanning since 1994. Her educational background comprises: PhD in Mathematics PgCert in Teaching and Learning in Higher Education BSc in Computer Science and Mathematics Research focuses on cryptography-combinatorics intersections for security applications, formal methods, and computational theory. Recent expansions include computer music generation via genetic algorithms and self-configuring security frameworks for mobile devices, reflecting an evolution from theoretical mathematics to applied interdisciplinary security solutions. Publication trends demonstrate foundational work in permutation mathematics (1995-2000), system dynamics for institutional management (2009-2010), and contemporary security applications including EEG biometrics and smartphone anomaly detection (2014-2018), showcasing consistent contributions to cryptographic theory and practical security engineering. Professional recognition includes: Fellow of the British Computer Society Fellow of Higher Education Academy She actively supervises postgraduate research across mathematics, cryptography, and cybersecurity domains while contributing to academic leadership through program committee roles at major conferences including IEEE CIT and WEBIST, alongside extensive curriculum development and quality assurance experience.

Jan Fröhlichمشاهده پروفایل

استاد

• High Dynamic Range (HDR)
• Wide Color Gamut (WCG)
• Image Encoding
• +۵ مورد دیگر

Prof. Dr. Jan Fröhlich is a Professor for Motion Picture Engineering at Stuttgart Media University (HdM), specializing in advanced imaging technologies. His research focuses on high dynamic range (HDR) and wide color gamut (WCG) image encoding, color rendering, camera metrology, and HDR workflows. Prior to his academic appointment, he held key industry positions including Senior Image Scientist at ARRI Munich where he contributed to professional cinema camera systems, and Dolby Laboratories where he helped develop the ITU Rec.2100 ICtCp color space and Dolby Vision platform. He also served as Technical Director at CinePostproduction GmbH. His core research areas include: HDR/WCG encoding and color science Virtual production workflows Camera metrology and image sensor technology Perceptual aspects of high frame rate and HDR imaging Real-time HDR/SDR conversion systems Recent publications demonstrate extensive work in virtual production technologies, including LED volume workflows, HDR broadcast graphics, and light field displays. His research consistently addresses both theoretical foundations and practical implementation challenges in cinematography and broadcast engineering.

• Arithmetic Geometry
• Coding Theory
• Galois Representations
• +۳ مورد دیگر

Jérémy Le Borgne is an Assistant Professor in the Department of Mathematics at ENS Rennes, where he has held faculty positions since 2012. He is a core member of IRMAR's Geometry and Effective Algebra Team, contributing to France's national mathematics research infrastructure through this CNRS-affiliated institute. His dual role encompasses advanced teaching from undergraduate to Agrégation levels and active research at the intersection of algebra, geometry, and computation. His educational foundation includes: ENS Cachan - Antenne de Bretagne (2005-2009) PhD in Mathematics, University of Rennes 1 (2009-2012), supervised by Xavier Caruso and David Lubicz Le Borgne's research pioneers computational approaches to arithmetic geometry, with seminal work on Ore polynomials enabling breakthroughs in Gabidulin code construction for error correction. His investigations into p-adic Galois representations bridge number theory and algorithm design, while recent studies of Hall bases for free Lie algebras reveal deep combinatorial structures applicable to differential equations. This tripartite focus creates synergies between theoretical mathematics and practical computation. Analysis of his 2010-2023 publications reveals consistent progression from foundational number theory (Ax-Sen-Tate theorem optimization) toward increasingly computational work, with 2022-2023 papers emphasizing algorithmic Lie algebra structures and nonlinear system expansions. His research demonstrates strong continuity in non-commutative algebra applications while expanding into new combinatorial territories. No formal awards are documented in public materials, though his publication record in high-impact journals like Journal of Algebra and Comptes Rendus Mathématique indicates peer recognition. His teaching portfolio spans advanced algebra courses and Agrégation preparation, with documented outreach including Lebesgue lectures and Olympiad training. As a research supervisor, Le Borgne integrates students through IRMAR's collaborative environment, though specific advisee counts aren't public. His Geometry and Effective Algebra Team provides infrastructure for computational mathematics projects, with recent work suggesting active funding for skew polynomial and Lie algebra research. The lab maintains close ties with University of Rennes 1's mathematics department, facilitating resource sharing across Rennes' academic ecosystem.

Grover A. Swartzlander, Jr.مشاهده پروفایل

استاد

• Optical Vortices
• Radiation Pressure
• Solar Sailing
• +۱۰ مورد دیگر

Grover A. Swartzlander, Jr. is a Professor at the Chester F. Carlson Center for Imaging Science within the College of Science at Rochester Institute of Technology (RIT). With a BS from Drexel University, MS from Purdue University, and Ph.D. from Johns Hopkins University, he has established himself as a leading researcher in optical physics and imaging science. Rochester Institute of Technology Chester F. Carlson Center for Imaging Science College of Science Swartzlander's research focuses on the fundamental properties and applications of optical vortices, radiation pressure phenomena, and their applications in space exploration. His work spans theoretical, experimental, and applied optics with significant contributions to solar sailing technology and exoplanet imaging systems. His extensive publication record demonstrates a consistent focus on optical singularities, with particular emphasis on vortex beams and their applications. The research shows a clear progression from fundamental optical phenomena toward practical applications in space technology, particularly NASA's diffractive solar sails project which has received significant attention and funding. Swartzlander's work on optical lift and radiation pressure has direct applications in spacecraft propulsion and attitude control systems, representing a unique intersection of fundamental optics and aerospace engineering. His research on optical vortex coronagraphy has advanced techniques for exoplanet detection and imaging. He actively teaches graduate courses in imaging science including Optics for Imaging (IMGS-633), and oversees graduate research through thesis courses. His work has been recognized by inclusion in Stanford University's list of the world's top 2% of scientists. Swartzlander maintains active collaborations with NASA and has developed significant research in diffractive solar sails technology, with multiple publications and patents in this area. His work bridges fundamental optical physics with practical space exploration applications.