جست‌وجوی استاد و پژوهشگر

Ehigie Julius Osatoمشاهده پروفایل

دانشیار

• Computational and Applied Mathematics
• Scientific Computing
• Numerical Analysis
• +۱۲ مورد دیگر

Associate Professor Julius Osato Ehigie is a faculty member in the Department of Mathematics, Faculty of Science, University of Lagos, Nigeria. He specializes in computational and applied mathematics, with core expertise in developing high-order numerical methods for oscillatory and fractional differential equations. Education: B.Sc. Mathematics, Lagos State University, 2006 M.Sc. Applied Mathematics, University of Lagos, 2009 Ph.D. Mathematics, University of Lagos, 2014 Research Interests: Ehigie’s research revolves around computational mathematics and scientific computing , focusing on fast, high-order accurate schemes such as Runge-Kutta and exponentially fitted integrators for periodic and oscillatory initial value problems. He applies these techniques to diverse areas including genetic regulatory systems, celestial mechanics, nonlinear atomic vibrations, air-pollution tracking models, and biological wave dynamics. His recent publications exhibit a clear trend toward exponential integrators and structure-preserving methods for highly oscillatory systems, with practical applications in engineering (pipe vibrations), biology (genetic circuits), and nanotechnology (nanolattice oscillations), underscoring an interdisciplinary blend of rigorous numerical analysis and real-world modelling. Scientific Awards & Fellowships: APSA Fellowship Award 2025 IMU-Simons African Fellowship Scholar 2022 EMS-Simons for Africa Scholar 2019 NAU-Postdoctor Fellowship Scholar 2015 Roles & Collaboration: He currently serves as Departmental Postgraduate Coordinator and founded the Numerical Analysis Research Clusters at the University of Lagos. His collaborative network spans the Departments of Mathematics at Southern Methodist University, University of Oxford, Nanjing Agricultural University, and Texas Tech University, as well as the Department of Civil & Environmental Engineering at the University of Lagos.

Axel Ranischمشاهده پروفایل

استاد مهمان

• Film Directing
• Artistic Film
• Visual Storytelling
• +۴ مورد دیگر

Axel Ranisch serves as Graduate Director and Special Teaching Assistant for Moving Image/Artistic Film at Saarland University of Fine Arts' School of Media Art & Design since 2022, following a 2021 Visiting Professorship. An internationally recognized filmmaker, he bridges professional practice and academic instruction through courses spanning directing, visual storytelling, and artistic film development. His research focuses on sensory filmmaking techniques , particularly the intersection of auditory elements and visual narrative, German mumblecore traditions, and historical avant-garde adaptation. Workshops like Art of Intimacy and Dada, Trash and Expressionism explore these themes through hands-on experimentation with constrained environments and improvisational methods. Analysis of his creative output reveals consistent exploration of authentic human interaction across formats - from low-budget mumblecore features to television productions. His films demonstrate evolving technical mastery while maintaining focus on emotional truth, with recent works increasingly incorporating autobiographical elements and historical film movement techniques. Key recognitions include: Grimme Prize (2019) for Familie Lotzmann auf den Barrikades City of Hof Prize (2020) for contributions to German cinema International festival success with over 100 screenings for early works Ranisch's mentorship emphasizes collaborative development through structured project consulting, helping students navigate text-image relationships and actor-director communication. His current supervision of projects like PENROSE continues his commitment to supporting emerging filmmakers while maintaining active professional practice through Tatort episodes and radio collaborations. His laboratory of practice exists through immersive workshops that function as creative incubators, where students develop skills in constrained environments while exploring sensory storytelling techniques across multiple mediums.

Edward Kozłowskiمشاهده پروفایل

استاد

• Stochastic Control Systems
• Optimization
• Decision Support Systems
• +۳ مورد دیگر

Dr. Edward Kozłowski is a Professor at the Department of Quantitative Methods in Management within the Faculty of Management at Lublin University of Technology. He holds consultations every Wednesday from 10:00 to 12:00 in room 20 of the New Oxford Connecting Building and can be reached via email at e.kozlovski@pollub.pl or through his personal website. Dr. Kozłowski earned his academic credentials through a rigorous path: completing his Master's degree in 1996 from the Faculty of Mathematics and Physics at Maria Curie-Skłodowska University, his PhD in 2002 at the Systems Research Institute of the Polish Academy of Sciences in Warsaw with a thesis on 'Optimization of investment portfolio taking into account the cost of information,' and achieving habilitation in 2019 from the same institution. His research focuses on optimal adaptive control for stochastic systems with random horizon and modeling decision support and control systems under uncertainty. This work spans stochastic optimization, machine learning applications, statistical modeling, and decision theory under uncertain conditions. Dr. Kozłowski's approach consistently bridges theoretical mathematical frameworks with practical applications in management contexts. Analysis of his recent publications (2017-2020) reveals a strong trend toward interdisciplinary applications of quantitative methods. His work spans pandemic response modeling, manufacturing optimization, water resource management, transportation systems analysis, and building diagnostics. The integration of machine learning techniques with traditional statistical approaches has become increasingly prominent in his recent research. Dr. Kozłowski teaches courses in forecasting and simulations, descriptive statistics, and mathematical statistics, emphasizing practical applications of quantitative methods in management. His teaching philosophy aligns with the Department of Quantitative Methods in Management's postgraduate studies in Data Analysis, which focuses on teaching statistical methods as practical tools rather than theoretical constructs. His collaborative research network includes frequent partnerships with Tomasz Rymarczyk, Grzegorz Kłosowski, Anna Borucka, and Dariusz Mazurkiewicz across diverse application domains. This collaborative approach has resulted in numerous publications in reputable journals and conference proceedings.