جستجوی استاد راهنمای دانشگاهی

• Digital Media
• Data-Driven Culture
• Self-Tracking Technology
• +۵ مورد دیگر

Suneel Jethani is Senior Lecturer in Digital and Social Media at the University of Technology Sydney's School of Communication. His work interrogates the complex integration of digital technologies into everyday life, focusing on spatial transformations, data ethics, and the political implications of technological systems. PhD and MA in Media & Communication from University of Melbourne Grad Dip in Marketing from Monash University BSc in Computer Science from University of Melbourne Research interests span three main areas: Critical analysis of digital/data technologies' integration into daily life Emerging risk discourses around generative AI and knowledge workers Rhythm as analytical framework for understanding technology-mediated practices Recent publications examine: Data provenance as ethical methodology Surveillance capitalism's impact on leisure (2023 Griffith Review essay) Critical technopolitics frameworks Domestic deployment of punitive monitoring systems Rhythmanalytical approaches to technology studies He previously worked in open data policy reform for Victorian Government (2017-2020) and co-authored Openness in Practice (2021). His methodological approach combines: Technopolitical analysis Critical data studies Embodied computing critique Rhythmanalytical frameworks Decolonial design considerations Interdisciplinary ethical inquiry

Joachim Wehlerمشاهده پروفایل

مدرس

• Algebraic Geometry
• Complex Analysis
• Riemann Surfaces
• +۵ مورد دیگر

Privatdozent Dr. Joachim Wehler is affiliated with the Department of Mathematics at Ludwig-Maximilians-Universität München (LMU Munich). He has been a lecturer at LMU since 1985, teaching advanced topics in mathematics and computer science. Academic Rank: Lecturer (Privatdozent) Departments: Mathematics (LMU), with a focus on complex analysis, algebraic geometry, and Lie theory Research Interests span diverse areas of mathematics and computer science: Algebraic Geometry (K3 surfaces, moduli spaces, deformation theory) Complex Analysis (Riemann surfaces, Stein manifolds, modular forms) Lie Algebras (structure theory, classification, applications in physics) Computer Science (Petri nets, event-driven process chains, concurrency theory) Publications reflect his interdisciplinary work, including topics in modular forms , elliptic curves , and free-choice Petri nets . His research bridges abstract mathematics with computational models and business process analysis. Software and Teaching : He emphasizes computational tools like PARI/GP in mathematics education and has developed lectures on computational algebraic geometry and visual behavioral modeling in software systems.

Ribana Roscherمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Biology
• +۲ مورد دیگر

Prof. Ribana Roscher is a leading researcher at Forschungszentrum Jülich's Institute of Bio- and Geosciences (IBG) , specifically within the Plant Sciences (IBG-2) department. Her work bridges plant sciences and data science , focusing on sustainable agriculture and bioeconomy solutions. Expertise: Data Science, Machine Learning, Biology, Plant Research, Bioeconomy Contact: Building 06.2 / Room 305, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52428 Jülich, Germany Research Focus: Roscher's group develops data-driven models for analyzing plant structure and processes. Key areas include: Plant phenotyping Plant-environment interaction analysis Technologies for alternative biomass utilization Integration of molecular, physiological, and ecological approaches Her research emphasizes advanced machine learning methods to address field condition challenges, such as variable environmental factors and complex data structures. Current projects explore: Uncertainty quantification in agricultural decision-making Satellite image editing for climate-conditional analysis Explainable AI for harvest-readiness prediction Core-set selection for efficient land cover segmentation FAIR data principles in environmental risk mapping These methodologies are applied to problems like crop yield prediction , ocean eddy detection , and climate adaptation studies , supporting resource efficiency and climate-resilient agriculture.

Martha Nari Havenithمشاهده پروفایل

استاد

• Cognitive neuroscience
• Neural dynamics
• Attention mechanisms
• +۷ مورد دیگر

Dr. Martha Nari Havenith serves as Group Leader at the Havenith & Schölvinck Lab in Frankfurt am Main, Germany. She investigates how internally generated brain states influence sensory processing and behavior through combined approaches using Electrophysiological recordings Optogenetic manipulation Virtual reality behavioral tasks Advanced data mining techniques Her research bridges computational neuroscience with experimental paradigms to decode complex cognitive processes in mammalian brains. Her work focuses on Simultaneous encoding of multiple cognitive processes Cross-species comparison of neural mechanisms Development of immersive behavioral environments Understanding spontaneous brain activity dynamics Neurophysiological basis of consciousness Recent publications demonstrate technical innovations in neuroimaging hardware alongside methodological advancements for analyzing complex behavioral-neural interactions. Key collaborative projects include DomeVR virtual reality system DREAM implant technology Standardized attention metrics Cortical state analysis She co-founded 3Dneuro to translate her research into practical neurotechnology applications.

• Complex systems
• Data analysis
• Statistical analysis
• +۷ مورد دیگر

Anna Filomena Carbone is a Full Professor in the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, where she directs the NOISELAB research laboratory. Her academic career spans over three decades since earning her PhD in Physics in 1993, with significant contributions to interdisciplinary research at the intersection of physics, data science, and complex systems. Her research interests encompass complex systems, data analysis, statistical analysis, modeling and simulation, and time series analysis, with a particular focus on noise in physical systems. Dr. Carbone has authored over 100 articles in international journals and conference proceedings, with recent publications (2023-2025) demonstrating continued productivity in areas including financial time series analysis, urban scaling laws, quantum information, and brainwave dynamics. Her work shows a clear trend toward increasingly interdisciplinary applications of statistical physics methods to real-world complex systems across multiple domains. Member of the Board of the Nonlinear and Statistical Physics (NSP Board) of the European Physical Society (EPS) since 2009 Member of Scientific Committee - European Physical Society, Belgium (2009-2015) Editorial board member for multiple journals including Physica A, European Physical Journal B, and Chaos, Solitons and Fractals Program chair for multiple International Conferences on Data Science Challenges Dr. Carbone actively supervises PhD students (including Chiara Panico in Computer and Systems Engineering) and serves as Course Instructor for Quantum Information and Quantum Computing courses. Her research projects include TED4LAT (2022-2025), FuturICT 2.0 (2017-2020), and Challenges in Data Science (2016). She maintains active collaborations with institutions including the European Commission and the Department for Digital Transformation of the Presidency of the Council of Ministers.

• Formal Methods
• Model Checking
• Bisimulation
• +۹ مورد دیگر

Jeroen Keiren is an Assistant Professor in the Department of Computer Science at Eindhoven University of Technology (TU/e) , where he leads research in Formal Methods with a focus on Model Checking , Bisimulation , and Timed Systems . He is actively involved in the Formal System Analysis group , contributing to the development of techniques for verifying correctness in software and hardware systems. Education: Master's (2009) and PhD (2013) in Computer Science from TU/e Previous Roles: Postdoc at Vrije Universiteit Amsterdam (2013–2015), Assistant Professor at Open Universiteit (2015–2019) and University of Maryland (2016), Visiting Researcher at Radboud University (2015–2019), and Visiting Lecturer at TU Delft (2015–2019) His research emphasizes reducing model-checking complexity through bisimulation and parity games, with applications to industrial critical systems like UML state machines and medical devices. He is the principal investigator (PI) for projects in the Cordis SUITE framework. His work spans concurrent systems , parameterized models , and software/hardware verification . Recent publications highlight advancements in model-checking algorithms , timed modal logics , and industrial case studies (mechanical ventilators, packet networks). He contributes to the mCRL2 toolset and participates in industry-focused formal-methods initiatives. Committees: Chair of TU/e Computer Science Program Committee (2022–present), Secretary of Formal Methods Europe (FME) Industry Committee (2022–present), and roles in academic program and examination committees

Stephanie R Taylorمشاهده پروفایل

استاد

• Computational Biology
• Systems Biology
• Mathematical Modeling
• +۵ مورد دیگر

Stephanie R. Taylor is a Professor in the Department of Computer Science at Colby College. Her research bridges computational methods and biological systems, focusing on circadian clocks and oscillator network analysis. She has published extensively in journals like Cell Cycle , Biophysical Journal , and PLoS Computational Biology , often involving interdisciplinary collaborations with biology and neuroscience fields. Her teaching portfolio includes courses such as Systems Biology I & II, Data Analysis, and Computer Organization. She has taken sabbaticals in 2011 and 2020, indicating sustained academic engagement. Taylor mentors students in computational biology projects, with former advisees exploring topics like network inference, tumor progression models, and SCN dynamics. She leads a research group analyzing circadian oscillator synchronization, using mathematical modeling and simulation to study biological complexity. Her lab investigates how multicellular clocks achieve period agreement and how network structures influence entrainment. No scientific awards are explicitly mentioned in the provided texts.

Banu Ulusoy-Dereliمشاهده پروفایل

پژوهشگر ارشد

• Vehicle Routing
• Urban Logistics
• Transportation Systems
• +۳ مورد دیگر

Banu Ulusoy-Dereli serves as a Research Fellow at the Technical University of Munich (TUM) School of Management within the Professorship of Business Analytics & Intelligent Systems led by Prof. Dr. Maximilian Schiffer. Her research develops optimization algorithms for urban transportation systems with direct industry applications. Education: Bachelor of Science in Industrial Engineering, Bilkent University Master's in Industrial Engineering, Koç University Research Focus: Specializing in Vehicle Routing and Urban Logistics , Banu employs Mixed Integer Programming and Metaheuristics to solve complex transportation challenges. Her work bridges theoretical optimization with real-world city logistics implementation, emphasizing scalable algorithmic solutions for large-scale problems. Publication Trends: Recent work centers on two-echelon location routing systems, integrating mobile depots and time synchronization constraints. Her publications demonstrate evolving expertise in adaptive large neighborhood search techniques for city logistics, reflecting strong alignment between theoretical methodology development and practical transportation applications. Scientific Awards: No awards documented in available sources. Advising & Grants: Current information indicates no formal student advising roles or externally funded research grants. Research Environment: Actively contributes to TUM's Professorship of Business Analytics & Intelligent Systems team, collaborating on intelligent transportation systems research within Munich's academic ecosystem while maintaining industry connections from prior professional experience.

Diana E. Aldea Mendesمشاهده پروفایل

دانشیار

• Nonlinear Dynamics
• Stochastic Processes
• Deterministic Systems
• +۶ مورد دیگر

Diana E. Aldea Mendes is an Associate Professor at Iscte Business School, Iscte - Instituto Universitário de Lisboa (Iscte-IUL), specializing in Quantitative Methods in Management and Economics. As a researcher at BRU-IUL (Business Research Unit of the University of Lisbon Institute), her work focuses on nonlinear dynamics, stochastic processes, deterministic systems, time series analysis, data science, computational economics, financial mathematics, control theory, and synchronization. Key Research Areas: Nonlinear dynamics, data science, and computational economics Current Affiliation: Iscte Business School Research Unit: BRU-IUL Technical Expertise: Temporal analysis, control theory, synchronization With over 40 publications and technical reports to her name, Mendes combines rigorous mathematical approaches with applied economic and financial modeling. Her contributions bridge theoretical mathematics and practical business analytics, emphasizing complex systems behavior in economic contexts.

Philip Clemsonمشاهده پروفایل

پژوهشگر ارشد

• Time Series Analysis
• Complex Systems
• Chaotic Systems
• +۷ مورد دیگر

Dr. Philip Clemson is a Senior Research Associate in the Department of Physics at Lancaster University, specializing in the time series analysis of complex systems. His work focuses on chaotic and stochastic data, particularly from non-autonomous (time-dependent) systems, with significant applications in biomedical physics and living systems. He has extensive experience in industry, having developed algorithms for medical devices and wearable technology. His research also encompasses numerical Bayesian statistical techniques using Markov chain Monte Carlo and sequential Monte Carlo methods. Current projects include phase coherence analysis for autonomic neuropathy diagnosis and network dynamics-based standards for endothelial health, reflecting his interdisciplinary approach between physics and biomedical applications. 2024: Phase coherence in autonomic neuropathy diagnosis 2023-2024: Network dynamics for endothelial health standards His recent publications demonstrate expertise in time-localized analysis, cardiovascular dynamics, and chronotaxic systems. Dr. Clemson is part of the Nonlinear and Biomedical Physics research group within the Physics Department.

Jakob Niehuesمشاهده پروفایل

پژوهشگر

• Complex Networks
• Nonlinear Dynamics
• Synchronization
• +۳ مورد دیگر

Jakob Niehues is a doctoral researcher at the Potsdam Institute for Climate Impact Research (PIK) and Technische Universität Berlin , affiliated with the Infrastructure and Complex Networks working group in Research Department 4. His research spans collective phenomena on complex networks, nonlinear dynamics, and synchronization, focusing on renewable power grids through technology-neutral formulations to support energy transitions. Educational Background: Physics studies at Humboldt University of Berlin and University of Copenhagen Current affiliation with Numerical Mathematics at TU Berlin Recipient of BIMoS scholarship at TU Berlin (2023-24) His work involves general analytical and simulation methods for power grid stability under climate change scenarios, with publications in prestigious journals like Nonlinearity and Physical Review E . Niehues actively participates in conferences, including Dynamics Days and DPG Spring Meetings , and contributes to software development for power grid research. Scientific awards include the Lise Meitner Prize for best Master's thesis and multiple scholarships from Studienstiftung des deutschen Volkes.

• Modeling of devices and components for engineering applications
• Modeling and analysis of dynamical systems and dynamical systems networks
• Design and implementation of digital embedded systems
• +۶ مورد دیگر

Matteo Lodi is an Assistant Professor at the University of Genoa , Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture (DITEN). His research focuses on modeling devices for engineering applications, dynamical systems analysis, and digital embedded systems design. He teaches courses such as Circuits and Systems , Electrotechnics , and Signal Processing in Robotics . Education: Laurea (B.Sc.) in Electronic Engineering from the University of Genoa (2015). Research Interests: His work spans power electronics, control systems, and synchronization dynamics. Key areas include inductor modeling (focusing on ferrite and amorphous-core materials), nonlinear model predictive control (NMPC), and grid stability solutions for renewable energy integration. He also explores cluster synchronization in complex networks and biologically inspired control systems for locomotion. Publications: Recent work highlights include FPGA-based NMPC implementations, virtual inertia controllers for wind turbines, and advanced inductor models accounting for saturation and thermal effects. His research bridges theoretical dynamical systems analysis with practical applications in power electronics and embedded systems.

Alice Pataniaمشاهده پروفایل

استادیار

• Topological Data Analysis
• Computational Topology
• Network Neuroscience
• +۴ مورد دیگر

Alice Patania is an Assistant Professor in the Department of Mathematics and Statistics at the University of Vermont. She holds a PhD in Applied Mathematics from Politecnico di Torino (2017), an M.Sc. and B.Sc. in Mathematics from Università di Torino (2013 and 2010). Her research focuses on computational topology and its applications to complex systems, particularly brain and social networks. She is the Principal Investigator of an NIH R21 grant on integrative predictive modeling of Alzheimer’s disease, combining genomics and neuroimaging data. Education: PhD in Applied Mathematics, Politecnico di Torino (2017) M.Sc. Mathematics, Università di Torino (2013) B.Sc. Mathematics, Università di Torino (2010) Research interests include topological data analysis (TDA), network neuroscience, and higher-order network modeling. Her work bridges abstract mathematics with applied problems in neuroscience and medicine. Notable contributions include topological gene-expression networks for brain anatomy/function analysis and simplicial configuration models for network sampling. Recent publications emphasize Alzheimer’s disease modeling, neural network dynamics, and algorithmic advancements in TDA. She is an inaugural member of the Vermont Complex Systems Center (VCSC), contributing to interdisciplinary research collaborations. Teaching includes courses on Topology, Algebraic Topology, and Data Science. She actively develops educational materials, such as a Topology course using Munkres and Starbird/Su texts, and a Data Science course inspired by Berkeley’s curriculum.

Grant Jacksonمشاهده پروفایل

دانشیار

• Intergroup Dialogue Theory and Practice
• College Student Development
• College Teaching and Learning
• +۳ مورد دیگر

Dr. Grant Jackson is an Associate Professor in the Department of Educational Psychology, Leadership, & Counseling at Texas Tech University's College of Education. His research focuses on intergroup dialogue (IGD), examining its impact on students' spiritual identity, worldview development, and relationships with others. He also explores leadership education, teaching practices, and online learning environments. Dr. Jackson holds a Ph.D. in Higher Education from the University of Michigan, with specializations in Academic Affairs and Student Development. Education: Ph.D., Higher Education (University of Michigan) M.A., Higher Education (University of Michigan) M.A., Education (Stanford University) B.A., German (Brigham Young University) His research interests include IGD theory/practice, college student development, leadership education, and innovative pedagogical strategies. His work emphasizes preparing students for complex societal challenges through dialogic and digital approaches. He has contributed to over 15 peer-reviewed publications on topics such as online IGD dynamics, STEM retention, and institutional responses to crises like the pandemic. Dr. Jackson previously served as an Intergroup Dialogue Facilitator, Instructional Consultant, and Academic Advisor. His recent studies include a 15-year IGD longitudinal project and investigations into the role of trust and readiness in dialogue experiences. He advocates for higher education's role in fostering critical thinking and inclusive leadership through evidence-based practices.

Yanlin Wangمشاهده پروفایل

دانشیار

• Second Language Acquisition
• Online Language Education
• Multimedia Instruction in Foreign Languages
• +۴ مورد دیگر

Yanlin Wang is an Associate Professor of Practice in the Department of Classical & Modern Languages & Literatures at Texas Tech University. Their research focuses on second language acquisition, online language education, and multimedia instructional strategies. Specializing in Chinese language pedagogy, they investigate factors affecting student motivation, cross-cultural learning experiences, and the psychological well-being of international students. Their work also explores the efficacy of digital tools in language learning, including cognitive load theory applications and comparative studies of online teaching methodologies. Office: CMLL 234 Email: yanlin.wang@ttu.edu Research interests span online language education during the pandemic, teacher self-efficacy, and the impact of multimedia design on cultural learning. Their studies often bridge theoretical frameworks like cognitive load theory with practical classroom applications, emphasizing both technological innovation and student-centered approaches. Publications highlight trends in global language education challenges, including comparative analyses of Chinese language learners in China and the U.S., the role of chat partners in language anxiety reduction, and systematic reviews of East Asian student mental health. Their work underscores the importance of personalized instruction, cross-cultural adaptation strategies, and the integration of technology to enhance language proficiency. No scientific awards or grants are explicitly mentioned in the provided materials.