جست‌وجوی استاد و پژوهشگر

Frank Aurzadaمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Persistence Probabilities
• +۵ مورد دیگر

Prof. Dr. Frank Aurzada is a Professor of Stochastics at the Department of Mathematics, Darmstadt University of Technology (Technische Universität Darmstadt). He serves as Vice Dean and leads the Stochastics Research Group (Arbeitsgruppe Stochastik). His office is located at Schlossgartenstraße 7, 64289 Darmstadt, Germany, in room S2|15 341. Professor Aurzada's research focuses on probability theory and stochastic processes, with particular expertise in persistence probabilities, fractional Brownian motion, Lévy processes, and Brownian motion. His work often examines first passage problems, asymptotic analysis, and path properties of stochastic processes. He has made significant contributions to understanding the behavior of processes under various constraints and conditions, including conditioned Brownian motion and persistence exponents in diverse settings. His recent publications demonstrate a consistent focus on theoretical aspects of stochastic processes with applications spanning from communication networks to interacting particle systems. The research trends show increasing sophistication in handling complex constraints on stochastic processes and developing perturbation methods for analyzing persistence phenomena. Professor Aurzada has organized numerous academic events, including multiple Spring Schools on specialized topics in probability theory dating back to 2014. His most recent and upcoming events include the Spring School on "Extrema of logarithmically correlated random fields and applications" (March 2025) and the Spring School on "Multiplicative chaos and cascades" (February 2024). For teaching, Professor Aurzada offers courses such as "Statistik I für Cognitive Science und Wirtschaftsingenieurwesen" and "Stochastische Prozesse" for the Winter 2025/2026 semester. His research group actively collaborates with institutions worldwide, including universities in Russia, France, and the United States.

Dirk Reinelمشاهده پروفایل

استاد

• Health Informatics
• Data Management
• Natural Language Processing
• +۳ مورد دیگر

Prof. Dr. Dirk Reinel serves as Professor at Hof University of Applied Sciences within the Faculty of Interdisciplinary and Innovative Sciences since the 2023/2024 winter semester. He leads the B.Sc. program in Innovative Health Care and acts as StartupLab Ambassador for Innovative Health Care, driving healthcare innovation initiatives. His academic journey includes Computer Science studies at Hof University followed by doctoral research at the University of Bamberg, where he earned his Dr. rer. nat. in 2018 through work on corpus-based lexical resource generation for opinion mining. Reinel's research bridges Health Informatics and Natural Language Processing , with dual specializations in health data management (particularly migraine epidemiology) and sentiment analysis . His publication record reveals two distinct trajectories: clinical studies analyzing migraine patterns relative to school schedules, weekly cycles, and temperature variations; and technical contributions to opinion mining including phrase generation algorithms and domain-specific applications for insurance and social media. His recent work demonstrates increasing focus on healthcare applications, culminating in the 2022 adolescent migraine study, while maintaining foundational NLP contributions from his 2018 dissertation. The integration of clinical research with advanced text analytics represents his distinctive interdisciplinary approach. Co-founding smartlytic GmbH in 2017 enabled practical implementation of his research, notably through the DMKG Kopfschmerzregister (Headache Register) developed with the German Migraine and Headache Society. His current StartupLab role extends this translational focus, mentoring healthcare innovation projects while directing the B.Sc. program in Innovative Health Care.

Thomas Sloanمشاهده پروفایل

دانشیار

• Operations Management
• Sustainable Operations
• Supply Chain Sustainability
• +۵ مورد دیگر

Thomas Sloan serves as an Associate Professor in the Operations and Information Systems Department at the University of Massachusetts Lowell's Manning School of Business. He coordinates the M.S. Business Analytics program and teaches courses including Global Supply Chain Management and Introduction to Business Analytics. His research bridges operations management with sustainability challenges across multiple industries. Education: Ph.D. in Management Science, University of California Berkeley M.S. in Operations Research, University of California Berkeley B.B.A. in Operations Management, University of Texas at Austin Sloan's research integrates environmental considerations into traditional operations frameworks, with significant contributions to sustainable supply chains, medical device reprocessing, and green equipment maintenance. His work demonstrates consistent focus on balancing economic, environmental, and safety factors across diverse operational contexts. Recent publications examine pandemic-era supply chain disruptions and multi-criteria decision approaches for industrial solvent selection. Scientific Recognition: Teaching Excellence Award (2013) from UMass Lowell Operations and Information Systems Department Exceeding Excellence Teaching Award (2009) from UMass Lowell Student Government Association Sloan actively contributes to educational innovation through technology implementation projects including the UML Echo360 Lecture Program and ForClass Application pilot studies. His professional service spans university committees (NEASC Reaccreditation, Climate Action Plan), department leadership roles, and professional societies including INFORMS, POMS, DSI, and APICS where he serves as faculty advisor for the OIS Club. His research grants focus on enhancing student engagement in supply chain management education through digital tools.

• Photography
• Visual Arts
• Contemporary Art
• +۳ مورد دیگر

Peter Cardone serves as a full-time Lecturer in the Department of Art and Design at the State University of New York at Oswego, specializing in photography instruction and conceptual visual research. His educational foundation includes: MFA in Studio Art - Photography from the School of the Art Institute of Chicago (2008) BFA in Photographic Illustration from the Rochester Institute of Technology (2004) Cardone's artistic research investigates the psychological and geographic dimensions of water bodies through a distinctive elevation-based framing methodology. His ongoing photographic series examines how lakes and oceans simultaneously root communities in specific places while triggering transcendent memories across vast distances. This work explores the tension between physical presence and emotional absence, using vertically composed images to create conceptual bridges between geographically disparate locations. The resulting color photographs analyze water's dual role as both orientation tool and memory catalyst within human experience of landscape. Students may engage with his expertise through departmental photography courses and scheduled consultations. Office hours for Fall 2025 are available in-person at Tyler Hall Room 230A or via Zoom during specified weekday hours, with alternative appointments accessible through his online booking system.

• Real-Time Scheduling
• Model-Based Systems Engineering
• Unmanned Aerial Vehicles
• +۳ مورد دیگر

Emmanuel Grolleau is a Full Professor at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechique) specializing in real-time systems. He is affiliated with the LIAS laboratory (Laboratoire d'Ingénierie des Applications de la Sensorique) where he leads the Real Time Team. His work bridges theoretical scheduling principles with practical embedded system implementations across multiple domains. Professor Grolleau's primary research interests include: Real-Time Scheduling: uniprocessor, multiprocessor, and distributed scheduling with practical considerations like transactions and precedence constraints Model-Based Systems Engineering (MBSE): developing bridges between UML-MARTE and AADL to real-time scheduling tools Unmanned Aerial Vehicles (UAVs): autopilot architecture design and optimization Energy Systems: co-heading the LabCom ANR Laboratoire d'Insertion des Énergies Nouvelles et d'Optimisation des Réseaux (LIENOR) His publication record demonstrates a clear progression from fundamental scheduling theory to applied work spanning avionics, drone technology, and power systems. Recent work shows strong focus on UAV autopilot architectures, model-based frameworks for real-time systems, and energy management in power distribution networks. Professor Grolleau serves on multiple prestigious program committees including Real-Time Networks & Systems (RTNS) since 2012, ACM/SIGAPP Symposium On Applied Computing (SAC) since 2015, DETECT since 2018, and DroneSE in 2023. He has led significant research projects such as PIA CORAC Panda and FUI WARUNA, which developed the Time4Sys pivot meta-model to connect theoretical scheduling with practical implementation. His collaborative work extends across multiple institutions and industries, with publications spanning real-time scheduling theory, UAV systems, energy management, and avionic architectures. The consistent thread through his work is the practical application of real-time scheduling principles to solve complex engineering problems in safety-critical systems.