جست‌وجوی استاد و پژوهشگر

Deepak Shahajirao Patilمشاهده پروفایل

پژوهشگر

• Glass and Glass-Ceramics
• Solid-State Ionic Conductors
• Nuclear Waste Immobilization
• +۷ مورد دیگر

Deepak Shahajirao Patil is a Researcher at the Joint Glass Centre of Alexander Dubček University of Trenčín, Slovakia, specializing in advanced glass materials for nuclear and energy applications. His work is integral to the EU-funded FunGlass Centre (Horizon 2020 Grant 739566) and US Department of Energy projects. His educational background includes a PhD in Chemical Laboratory Sciences from University of Pardubice (2015), MSc in Organic Chemistry from SRTM University India (2008), and BSc from the same institution (2005). PhD: University of Pardubice, Faculty of Chemical Laboratory (2015) MSc: SRTM University, Nanded, India (2008) B. Ed.: RSTM Nagpur University, India (2007) BSc: SRTM University, Nanded, India (2005) Patil's research spans glass-ceramics for nuclear waste immobilization, solid-state ionic conductors for batteries, and carbon-negative technologies. His expertise in impedance spectroscopy drives innovation in chalcogenide glass electrolytes and metal-organic frameworks. Current projects include EPOCH (ARPA-E DE-AR0001147) for carbon-negative calcium hydroxide production and DOE-funded nuclear waste sequestration research (DE-SC0016574). His publication record shows strong interdisciplinary focus, with significant contributions to nuclear waste glass chemistry and solid electrolyte development. Recent work analyzes rare earth partitioning in multiphase glass-ceramics and spin-canted transitions in MOFs. Scientific recognition includes: Best poster award from IUPAC at 11th Solid State Conference (2014) Erasmus+ Exchange fellowship at University of Rennes1 (2015) NATO summer school participation in Ireland (2013) PREM fellowship at New Mexico Highland University (2018) As a collaborator in multinational consortia (Erlangen, Jena, Madrid, Padova), Patil contributes to Horizon Europe projects including CLiCAM, GlaCerHub, and EVERGLASS. His technical leadership in neutron diffraction methodology for glass crystallization studies supports next-generation nuclear waste forms. Current focus includes additive manufacturing of glass components and CO2 sequestration technologies.

T. Kyle Petersenمشاهده پروفایل

استاد

• Combinatorics
• Enumerative Combinatorics
• Algebraic Combinatorics
• +۱ مورد دیگر

T. Kyle Petersen is Professor and Chair of the Department of Mathematical Sciences at DePaul University's College of Science and Health, where he serves as a full-time faculty member specializing in combinatorics research and education. Education history: AB, Washington University in St. Louis PhD, Brandeis University (2006), supervised by Ira Gessel Research focuses on core and specialized areas of combinatorics: Enumerative Combinatorics : Counting methods and sequence analysis Algebraic Combinatorics : Algebraic structures in discrete mathematics Topological Combinatorics : Geometric and topological approaches Recent publications (2019-2021) demonstrate broad engagement with combinatorial theory and applications—including permutation studies (Sós Permutations), probabilistic card shuffling models, geometric puzzle theory, Coxeter group analysis, and inquiry-based learning frameworks. This work consistently bridges theoretical foundations with educational innovation. Beyond research, Dr. Petersen actively contributes to pedagogical advancement through the Academy of Inquiry-Based Learning, promoting student-centered mathematics education.

Stefan Wirtensohnمشاهده پروفایل

پژوهشگر

• Control Engineering
• Mechatronic Modeling
• Parameter Identification
• +۴ مورد دیگر

Stefan Wirtensohn is a Researcher at the Institute of System Dynamics, Konstanz University of Applied Sciences, where he has served as a research associate since 2012. His work bridges theoretical control engineering with practical marine robotics applications, focusing on autonomous surface vehicle development and advanced control systems. His academic credentials include: Bachelor of Engineering in Mechanical Engineering, HTWG Konstanz (2010) Master of Engineering in Mechatronics, HTWG Konstanz (2012) Wirtensohn's research centers on Control Engineering, Mechatronic Modeling, and Nonlinear Control systems for marine environments. He specializes in parameter identification, motion estimation, and trajectory optimization for autonomous vessels, with significant contributions to docking control, wave filtering, and extended object tracking. His methodology integrates unscented Kalman filters, model predictive control, and sensor fusion techniques to address real-world navigation challenges. Analysis of his 15 most recent publications (2013-2022) reveals consistent focus on marine robotics control systems. Key trends include the application of random matrices for lidar-based target tracking, model predictive path integral control for vessel stabilization, and advanced disturbance estimation techniques. His work demonstrates strong emphasis on experimental validation using autonomous surface vehicles across diverse maritime scenarios. He actively contributes to teaching through Control Engineering 1 exercises and laboratory supervision, emphasizing hands-on implementation of control algorithms. Current projects under his involvement include: Integrated autonomous measuring system for maritime surveying tasks Automated parking systems for truck trailers Collision prevention procedures for inland waterway vessels Wirtensohn operates within the Institute of System Dynamics research team specializing in signal processing, control engineering, and robotics, maintaining close collaboration with Johannes Reuter and other institute members on marine automation challenges.

Simon Apersمشاهده پروفایل

پژوهشگر

• Quantum Algorithms
• Theoretical Computer Science
• Random Walks
• +۴ مورد دیگر

Simon Apers is a CNRS researcher at IRIF (Institut de Recherche en Informatique Fondamentale) at Université Paris Cité. He focuses on quantum algorithms with broader interests in theoretical computer science, including random walks, graph theory, and combinatorial optimization. His primary research interests span quantum computing, theoretical computer science, and algorithms. Apers has made significant contributions to quantum walks, quantum property testing, graph algorithms, and computational complexity. His work often bridges quantum information with classical theoretical computer science, exploring how quantum techniques can improve classical algorithms and solve problems more efficiently. He has developed quantum speedups for various computational tasks including sampling, optimization, and graph problems. Simon Apers serves as a program committee member for prestigious conferences including TQC'25, QIP'25, TQC'23, SODA'23, and ESA '21. He also serves as an editor for the journal Quantum. His teaching activities include courses at Sorbonne University (2022-present) on Advanced Quantum Algorithms, MPRI (2021-present) on Quantum Algorithms and Complexity, and Bad Honnef (2022). His publication record shows a strong trend toward quantum algorithms for graph problems, quantum walks, and connections between quantum computing and classical theoretical computer science. He frequently collaborates with researchers from various institutions across Europe and has published in top venues including FOCS, STACS, ESA, PRL, and JMLR. Simon Apers actively mentors students and has open positions for PhD students and postdocs in quantum algorithms at IRIF. His research group is involved in cutting-edge work at the intersection of quantum computing and theoretical computer science, with significant contributions to quantum walks, property testing, and computational complexity.