جست‌وجوی استاد و پژوهشگر

• Social Work
• Public Policy
• Homelessness Studies
• +۶ مورد دیگر

Koen Hermans is a Associate Professor at the Faculty of Social Sciences at KU Leuven , affiliated with the Centre for Care Research and Consultancy . He serves as head of the Clearinghouse for Self-help and leads the Subdivision LUCAS, Centre for Care Research and Consultancy . He is a member of the L-C&Y - Child & Youth Institute and the Faculty Council of Social Sciences . His research focuses on social work , homelessness studies , and vulnerable populations . He investigates policy responses to youth homelessness, social networks for care leavers, and accessibility of healthcare. His work often employs mixed-methods approaches and community-based research , with a strong emphasis on social inclusion and urban social issues . Recent projects include "Bringing human rights home" , "CONNECT" (social connections in serious illness), and "Architectures of Caring" for street homelessness. He has also led evaluations of Flemish youth care policies and European homelessness counts . His publications span journals like Children and Youth Services Review , Urban Planning , and Journal of Social Distress and the Homeless . Topics include youth care transitions , administrative data analysis in homelessness , and community mental health . He is involved in teaching courses such as Kwantitatief leeronderzoek and Analyse en evaluatie van sociale interventies .

• Computational Geometry
• Combinatorial Geometry
• Discrete Geometry
• +۷ مورد دیگر

Natan Rubin is a faculty member in the Computer Science Department at Ben-Gurion University of the Negev, Beer-Sheba, Israel, where he has been conducting research in combinatorial and computational geometry since 2014. He is the principal investigator of a 5-year ERC Starting Grant project titled 'Combinatorial Aspects of Computational Geometry' (CombiCompGeom), which supports graduate students and postdocs in geometric algorithms and structures. Ph.D., Tel Aviv University, 2012 Advisor: Prof. Haim Kaplan and Prof. Micha Sharir His research focuses on fundamental problems in computational geometry, including geometric transversals , epsilon-nets , Voronoi diagrams , Delaunay triangulations , and intersection patterns of geometric objects . He has made significant contributions to the understanding of combinatorial bounds in geometric settings, such as resolving the Richter-Thomassen conjecture for pairwise intersecting Jordan curves and improving long-standing bounds on weak epsilon-nets. The recent publications reveal a consistent trend toward improving asymptotic bounds in high-dimensional and planar geometric configurations, with a strong emphasis on combinatorial methods and topological reasoning. His work often intersects with extremal combinatorics and discrete geometry, particularly in analyzing crossing and touching structures in planar graphs and families of convex sets. His scientific recognition includes: Best Paper Award at FOCS 2013 Best Paper Award at SoCG 2012 Rubin actively contributes to the academic community through service, having organized major workshops such as SODA 2018 and SoCG 2022, and hosting international researchers. He collaborates widely with leading figures in the field, including Pankaj Agarwal, János Pach, Micha Sharir, and Haim Kaplan. Though no formal list of students is provided, his ERC-funded project explicitly advertises multiple graduate and postdoctoral positions, indicating active mentorship. He is also involved in organizing international workshops and fostering collaboration within Israel’s strong computational geometry community, including researchers at BGU, Tel Aviv, and Jerusalem. His research is supported by competitive grants and involves the development of robust kinetic data structures and stable geometric graphs, with applications in dynamic environments and algorithmic stability.

Kelly Bradburyمشاهده پروفایل

دانشیار

• Structural Geology
• Earthquake Geology
• Fault Zone Deformation
• +۳ مورد دیگر

Kelly Bradbury serves as a Professional Practice Associate Professor and Graduate Program Coordinator in the Department of Geosciences at Utah State University. Her research and teaching focus on structural geology, with particular emphasis on fault zone dynamics and earthquake processes. She maintains an active role in graduate education and geoscience workforce development from her office in Geology 112. Her educational background comprises: PhD in Geology, Utah State University (2012). Dissertation: Rock properties and structure within the San Andreas Fault Observatory at Depth (SAFOD) borehole northwest of Parkfield California: in situ observations of rock deformation processes and fluid-rock interactions of the San Andreas Fault zone at 3 km depth. MS in Geology (Hydrogeology), Utah State University (1999). Thesis: Structural and Hydrogeological Analyses of Deformed Sedimentary Bedrock Aquifers in the Pinebrook Subdivision, Western Summit County, Utah. BS in Geology (Mathematics), Western Michigan University (1993). Dr. Bradbury's research program investigates fault zone studies, earthquake geology, and hydrothermal mineralization through meso-to nano-scale analysis of rock textures and chemical alterations. Her work elucidates deformation mechanisms and fluid-rock interactions in active fault systems, contributing to seismic hazard assessment and understanding of earthquake cycles. She employs experiential teaching methods for structural geology, Earth system science, and natural hazards courses. Analysis of her publication record (2007-2022) reveals consistent focus on the San Andreas Fault system using SAFOD borehole data and natural analogs. Her research integrates thermochronometry, micro-scale petrology, and multi-proxy analyses to study hematite mineralization, fault slip mechanisms, and thermal signatures during seismic events, bridging structural geology with seismology and geochemistry. As a dedicated educator, Dr. Bradbury mentors graduate students including Genna Baldassarre (2021-2024) and Kayla Smith (2018-2021). She teaches diverse courses ranging from Applied Geoscience Techniques (GEO 3800) and Communicating Geoscience (GEO 3400) to interdisciplinary offerings like Yoga and Nature (KIN 4015), demonstrating commitment to holistic geoscience education and workforce development.

Caroline Moosmuellerمشاهده پروفایل

استادیار

• Computational Optimal Transport
• Geometric Data Analysis
• Numerical Analysis
• +۴ مورد دیگر

Caroline Moosmueller is an Assistant Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill, where she leads the Geometric Data Analysis research group. She holds a B.Sc and M.Sc in Mathematics from the University of Vienna and a Ph.D in Technical Mathematics from Graz University of Technology. Her professional background includes postdoctoral work at Johns Hopkins University (2017-2019) and a Visiting Assistant Professor position at the University of California, San Diego (2019-2022). Her research develops numerical methods for nonlinear and high-dimensional data analysis with focus on structure-preserving algorithms. Key areas include: Computational optimal transport and Wasserstein space analytics Geometric machine learning and classification tasks Approximation theory for biological and medical applications Dimensionality reduction techniques for complex datasets Publication analysis reveals strong focus on optimal transport theory applications in machine learning and biomedicine, with recent work exploring trajectory inference, dimensionality reduction, and stochastic measure transport methods. Her papers consistently integrate theoretical rigor with computational implementations. Awards include: J. Burton Linker Fellowship She leads multiple funded projects: NSF awards DMS 2111322, 2306064, 2410140 UNC School of Data Science Seed Grant for "Spatio-temporal analysis of brain functional connectome" (with Kovalsky/Styner/Wu) and mentors seven graduate students. Her lab focuses on geometric algorithms for cancer research and biomedical data analysis.

• Reliability of Mechanical Systems
• Structural Dynamics
• Uncertainty Quantification
• +۳ مورد دیگر

David Moens is Full Professor and Chair of the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Technology. He leads the Mecha(tro)nic System Dynamics (LMSD) research group at De Nayer Campus, where his research focuses on reliability engineering, structural dynamics, and computational mechanics. Moens serves in multiple leadership roles including membership in the university's Research Policy Council and heads Subdivision 10 of the De Nayer Campus. His research integrates computational mechanics with uncertainty quantification methods to address challenges in mechanical system reliability. Primary research domains include: Non-deterministic numerical analysis techniques for structural systems Fatigue and lifetime prediction methodologies Spatial uncertainty quantification in composite materials Physics-informed machine learning for engineering applications Robust design optimization under uncertainty Moens' recent publications demonstrate strong emphasis on computational uncertainty frameworks with applications spanning composite pressure vessels, manufacturing process twins, and neural network uncertainty estimation. Research consistently intersects finite element analysis, experimental validation, and emerging machine learning techniques to solve reliability challenges in mechanical systems. He leads significant research initiatives including RISQ (Random and Interval Spatial Uncertainty Quantification, 2025-2027) and projects on hydrogen storage vessel reliability (2024-2028). As primary supervisor for multiple PhD candidates, Moens actively contributes to academic training through courses including Reliability of Mechanical Systems, Dynamic Behavior of Machines, and Design for Safety and Reliability.

• Process Optimization
• Chemical Engineering
• Energy Engineering
• +۵ مورد دیگر

Dominik Bongartz is a tenure-track assistant professor at KU Leuven's Faculty of Engineering Sciences, Department of Chemical Engineering, where he joined in 2022. He serves as subdivision head of EnergyVille CReaS and is an active member of both the EnergyVille Division and KU Leuven Institute for Energy and Society (KIEM). His academic roles include membership in the Faculty Council of Engineering Sciences, Departmental Council for Chemical Engineering, and as observer of the POC Chemical Engineering Techniques. Dr. Bongartz's research focuses on developing optimization methods for process design and control in chemical and energy engineering. His work centers on accelerated solution methods for chemical problems and machine learning applications, with particular emphasis on process electrification including heat pumps, electrochemical reactors, and their integration in power-to-x process chains. He is a developer of the open-source optimization software MAiNGO, which has become an important tool in the field. His recent publications reveal a strong trend toward electrochemical systems optimization, with multiple papers on electrochemical reactors, hydrogen production technologies, and heat pump integration for sustainable energy systems. The research demonstrates sophisticated application of nonconvex optimization techniques to practical engineering problems in the energy transition space. Professionally, he serves as secretary of the European Committee for the Use of Computers in Chemical Engineering Education (EURECHA) and sits on the editorial board of Computers & Chemical Engineering. These roles highlight his leadership in advancing computational methods in chemical engineering education and research. Dr. Bongartz teaches multiple courses including Systems Analysis of Chemical Processes, Process Control in the Chemical Industry, Process Simulation in the Chemical Industry at the master's level, and Systems Theory and Control Theory at the bachelor's level. His teaching directly complements his research expertise in process optimization and control. His research portfolio includes numerous funded projects from 2022-2028, primarily focused on nonconvex optimization methods, electrochemical processes, and power-to-x systems. These projects demonstrate strong industry relevance and alignment with European energy transition goals.

Nele Famaeyمشاهده پروفایل

دانشیار

• Biomechanics
• Soft Tissue Biomechanics
• Cardiovascular System Modeling
• +۵ مورد دیگر

Nele Famaey is an Associate Professor at KU Leuven's Department of Mechanical Engineering, Faculty of Engineering Sciences, where she leads the Soft Tissue Biomechanics research group. She also serves as a visiting professor at Ghent University's BioMMeda group and has been the coordinator of FIBEr (KU Leuven Core Facility for Biomechanical Experiments) since 2017. Her leadership extends to roles as division head of FIBEr Division and subdivision head of Subdivision FIBEr General. Her primary research focuses on the biomechanics of damage, growth, and remodeling phenomena in soft biological tissues, particularly in the cardiovascular system, cartilage, and brain. She employs a combined approach integrating experimental mechanical characterization with nonlinear constitutive and numerical modeling to support clinical decision-making through in silico simulations. Her research spans: Biomechanical analysis of damage, growth and remodeling in soft biological tissues Nonlinear constitutive and numerical modeling of mechanobiological behavior Experimental characterization of material properties of soft biological tissues Analysis of her recent publications reveals a strong emphasis on cardiovascular biomechanics, particularly arterial tissue modeling, aortic aneurysms, and the Ross procedure for heart valve replacement. Her research increasingly incorporates advanced computational methods including multiscale modeling, machine learning approaches, and in silico clinical trials. There is also growing interest in additive manufacturing applications for biomimetic materials and the mechanical properties of novel biomaterials like mycelium-based products. Dr. Famaey leads multiple significant research projects running from 2024-2029 as Promotor, focusing on arterial wall remodeling, cardiovascular material characterization, and risk assessment for aortic aneurysms. Her leadership extends to membership in the iSi Health Institute and participation in faculty and departmental councils. She teaches a comprehensive range of courses spanning fundamental mechanics, tissue mechanics, numerical modeling in biomedical engineering, and medical technology design, demonstrating her commitment to educating the next generation of biomedical engineers.

• Human-Computer Interaction
• User Experience Design
• User-Centered Design
• +۸ مورد دیگر

Veronika Vanden Abeele serves as a Senior Lecturer and Department Head of the Human-Machine Interaction (HCI) group within the Department of Computer Science at the Faculty of Industrial Engineering Sciences, KU Leuven. She additionally holds leadership roles as subdivision head of Subdivision 14 at Campus Group T Leuven and maintains active memberships in the Leuven Centre for Accessible Health Technology and DigiSoc – KU Leuven Institute for Digital Society. Her research expertise spans Human-Computer Interaction with core focus areas including user experience design, user-centered design, participatory design, and participatory action research. She extends these methodologies to motivational design, gamification, persuasive system design, and the development of game-based assessments, with specialized applications in design for ageing populations and health technology. Her work consistently emphasizes user empowerment through co-creation and accessible digital solutions. Analysis of her 2025 publications reveals dominant themes in explainable AI for healthcare contexts, gamified health interventions, and mobile health applications for chronic conditions. Key trends include user-centered explanation interfaces for AI systems, video games for cognitive impairment assessment, and empowering mHealth tools for musculoskeletal pain management and stroke rehabilitation. She supervises doctoral candidates including: M. Szymanski (Human-Centered Explainable AI) S. Keyaerts (Mobile health for musculoskeletal pain) Her research is funded by multiple competitive grants: ReDUX: Building children's resilience against deceptive digital interactions (2025-2027) - Promoter Explainable AI for older adults with service robots (2025-2029) - Promoter AI-driven stress management explainability (2025-2029) - Promoter Game-based biomarkers for cognitive disorders (2021-2025) - Promoter As leader of the Human-Machine Interaction research group at Campus Group T Leuven, she directs interdisciplinary collaborations with healthcare institutions and technology partners through the Leuven Centre for Accessible Health Technology and DigiSoc. Her team specializes in co-designing and evaluating interactive technologies that address real-world challenges in health, aging, and digital inclusion, with strong emphasis on participatory methodologies and user empowerment.

• Environmental Health
• Occupational Health
• Respiratory Diseases
• +۶ مورد دیگر

Professor Jeroen Vanoirbeek is a faculty member at the Department of Public Health and Primary Care, Faculty of Medicine, KU Leuven. He serves as division head of the Environment and Health Division and subdivision head of Occupational Environmental Measurements, with additional affiliations at the Respiratory Diseases and Thoracic Surgery (BREATHE) research unit and Leuven One Health Institute. His research spans critical environmental and occupational health domains: Respiratory Pathophysiology : Asthma heterogeneity, airway hyperreactivity mechanisms, and occupational lung diseases including silicosis Exposure Science : Advanced biomonitoring of air pollutants (PAHs, pesticides, microplastics), dermal chemical absorption, and sensor development Vulnerable Populations : Children's indoor air quality impacts, elderly industrial pollution susceptibility, and global farmworker health Methodological Innovation : Transcriptomic clustering, microCT imaging, and UPLC-MS/MS analytical techniques Recent publications (2024-2025) demonstrate accelerating focus on molecular mechanisms of asthma, translocation pathways of inhaled particles, and occupational exposure assessment technologies. His work bridges fundamental toxicology with public health applications through strong industry and international collaborations. Professor Vanoirbeek actively supervises master's theses in occupational hygiene while leading major grants including the PIVO STUDY (promotor), QuantPAH sensor development (co-promotor), and Katangan mining lung disease research (2023-2027). His current portfolio features 10 active projects totaling over €5M in funding, emphasizing children's environmental health and microplastic analysis. He contributes to institutional governance as member of the Faculty Council of Medicine, Occupational Medicine POC, and Bioethics POC, while co-leading the Departmental Board for Community Health and Primary Care.

• Geographic Information Systems
• Remote Sensing
• Spatial Analysis
• +۵ مورد دیگر

Jos Van Orshoven is a full Professor at KU Leuven's Faculty of Bioscience Engineering within the Department of Earth and Environmental Sciences. He serves as Division Head of the Spatial Information Processing Division (SADL) and leads subdivisions for Ground for GIS and Earth Observation, while holding membership in Leuven One Health Institute and the Departmental Council for Earth and Environmental Sciences. His research spans Geographic Information Systems, remote sensing, and spatial analysis applied to environmental challenges. Key interests include climate-resilient land management, urban green space planning, forest dynamics under climate change, soil carbon monitoring, and socioeconomic disparities in environmental exposure. His work integrates drone and satellite technologies (Sentinel-2, VNIR/SWIR/LWIR) with spatial optimization for sustainable resource allocation. Recent publications reveal strong trends in climate adaptation (forest composition shifts, drought impacts on orchards), green infrastructure health benefits (3-30-300 rule evaluations), and precision environmental monitoring (radiocaesium transfer meta-analyses, soil carbon mapping). His team develops innovative methods like YOLOv8 tree detection for quantifying visible green space and spatial optimization for sediment loss minimization through afforestation. Radiocaesium soil-to-plant transfer meta-analysis (2025) Atlantic lowland forest climate vulnerability assessment (2025) Urban green space accessibility disparities research (2025) Agrovoltaics site suitability framework (2025) Soil carbon monitoring via Sentinel-2 (2024) He actively supervises research through multiple grants as promotor/co-promotor, including EU-funded projects on digital twins for sustainable cities (2024-2027), climate resilience networks (2023-2027), and drone remote sensing training (2022-2024). His teaching portfolio covers Geographic Information Systems, Geospatial Technologies, and Forest/Nature Landscape Planning across undergraduate and graduate bioscience engineering programs. His research group operates within KU Leuven's Spatial Information Processing Division, collaborating with international networks on the Omo-Turkana Basin management, Burundian land degradation monitoring, and Flemish urban green space initiatives. Current work focuses on scaling forest growth models for climate change predictions and optimizing spatial remediation strategies for radiologically contaminated soils.

Nira Dynمشاهده پروفایل

استاد

• Geometric Modeling
• Subdivision methods
• Multivariate approximation theory
• +۴ مورد دیگر

Nira Dyn is a Professor of Applied Mathematics at Tel Aviv University's School of Mathematics, where she has established herself as a leading researcher in geometric modeling and approximation theory. Her academic career spans decades of contributions to subdivision methods and computational mathematics, with a consistent focus on both theoretical foundations and practical applications in computer graphics and image processing. Research Interests Professor Dyn's primary research areas include Geometric Modeling , Subdivision methods , and Multivariate approximation theory , with significant contributions to Computer-Aided Geometric Design (CAGD) and Image Compression. Her current work centers on Nonlinear subdivision schemes and the Approximation of set-valued functions , representing cutting-edge extensions of classical approximation theory to handle complex geometric structures and uncertain data. These interests form a cohesive research program that bridges pure mathematical analysis with computational applications, particularly in handling geometric data through innovative subdivision techniques. Publication Trends Analysis of her recent publications reveals a strong emphasis on advancing subdivision methodologies beyond linear frameworks, with increasing focus on nonlinear schemes capable of handling complex geometries and set-valued data. Her work demonstrates consistent progression from foundational subdivision theory toward practical applications in image compression and geometric modeling, with notable contributions to metric-based approximation techniques. The publications showcase interdisciplinary reach spanning mathematics, computer science, and engineering applications, while maintaining rigorous mathematical foundations in approximation theory. Professional Activities While specific advising relationships and grant information aren't detailed in the available materials, Professor Dyn's extensive publication record in top-tier journals indicates active research leadership. Her collaborations span multiple institutions and disciplines, reflecting the interdisciplinary nature of modern geometric modeling research. The absence of explicit laboratory or team information suggests her work may be primarily theoretical or conducted through collaborative networks rather than a dedicated physical research space.

Chris Mundyمشاهده پروفایل

پژوهشگر ارشد

• Electrolytes
• Solvation Theory
• Interfacial Systems
• +۴ مورد دیگر

Chris Mundy is a Lab Fellow and Physicist at Pacific Northwest National Laboratory (PNNL), specializing in theoretical and computational approaches to complex interfacial systems. His research integrates statistical mechanics and molecular simulations to address fundamental challenges in electrolyte behavior, solvation phenomena, and energy-related materials science under the Department of Energy's Basic Energy Sciences portfolio. His educational background includes a PhD in Chemistry from the University of California, Berkeley (1992) and a BS in Chemistry from Montana State University (1988). Mundy has held significant leadership roles including Chair of the Gordon Research Conference on 'Chemistry and Physics of Liquids' (2025), Chair of the Theoretical Chemistry Subdivision of the American Chemical Society (2022), and Vice Chair (2020-2021). Mundy's research focuses on bridging molecular-scale phenomena to macroscopic outcomes in electrolytes and interfacial systems. His work spans computational modeling of ion hydration, solvation dynamics, and nanoscale assembly processes relevant to energy storage and environmental systems. Recent publications demonstrate strong emphasis on advanced simulation techniques applied to battery electrolytes, biomimetic materials, and aqueous interfaces. His 15 most recent publications reveal consistent focus on computational chemistry methods applied to interfacial phenomena, with growing integration of machine learning and advanced spectroscopy techniques. Key themes include ion-specific effects at interfaces, solvation structure characterization, and predictive modeling of electrolyte behavior across concentration regimes. American Physical Society Fellow (2014) Mundy actively contributes to professional service through leadership in Gordon Research Conferences and ACS subdivisions. His work at PNNL connects fundamental theoretical chemistry to Department of Energy mission areas including energy storage, environmental remediation, and materials science. Current research leverages high-performance computing resources to develop predictive frameworks for complex fluid systems. As a senior researcher at PNNL, Mundy collaborates extensively across national laboratory teams and academic institutions, focusing on theoretical development that informs experimental design in interfacial science and electrochemistry. His group utilizes advanced molecular simulation techniques to probe systems ranging from battery electrolytes to biological interfaces.

• Computer Aided Geometric Design
• Subdivision Methods
• Geometric Modeling
• +۱ مورد دیگر

Prof. Dr. Hartmut Prautzsch serves as Professor of Applied Geometry and Computer Graphics at Karlsruhe Institute of Technology (KIT), where he has held a faculty position since 1990. He concurrently serves on the board of KIT's Institute for Scientific Computing and Mathematical Modelling and acts as co-editor-in-chief of the journal Computer Aided Geometric Design since 2002. His academic foundation includes Mathematics and Computer Science studies at TU Braunschweig (1978-1983) and a 1984 doctorate under W. Boehm. Prior appointments comprised assistant professorship at Rensselaer Polytechnic Institute and IBM Research Lab postdoctoral fellowship. Prof. Prautzsch's research centers on Computer Aided Geometric Design with pioneering contributions to subdivision methods analysis. His work bridges theoretical mathematics and practical applications in geometric modeling, influencing both academic research and industrial CAD systems. Key interests include curve/surface representations, refinement algorithms, and computer graphics foundations. He has mentored several PhD students including professors Leif Kobbelt, Georg Umlauf, and Lars Linsen. His career demonstrates sustained impact through editorial leadership, institutional governance, and fundamental algorithmic contributions that remain relevant in modern geometric processing pipelines. The Applied Geometry Group he leads operates within KIT's mathematical modeling ecosystem, focusing on advancing geometric computation techniques while maintaining connections to real-world design and manufacturing applications.

Mila Praschmaمشاهده پروفایل

مدرس

• Creative practice
• Animation
• Art history
• +۳ مورد دیگر

Mila Praschma is a Lecturer at Anglia Ruskin University's Faculty of Arts, Humanities, Education and Social Sciences, specifically within the Cambridge School of Creative Industries. She teaches undergraduate courses in Computer Games Art and Computer Games Design, bringing industry experience directly into academic instruction. Praschma holds a 1st Class BA (Hons) in Game Art and Animation from SAE Institute (2022). Her educational background bridges traditional fine arts with digital media, creating a unique fusion of classical artistic techniques and contemporary game development practices. BA (Hons) Game Art Animation, SAE Institute, 2022 (1st Class) Mila specializes in creative practice with focus areas spanning animation, art history, arts and creative industries, computer games, and fine art. Her work embodies what she describes as "an imitation of reality with a fantastical essence" - crafting photo-realistic assets while creating environments that feel "inviting and mysterious" through thoughtful lighting and composition. She brings a storytelling-led approach to technical workflows, drawing on her multidisciplinary background in fine art, theatre, and photography. Her methodology is thorough and methodical, beginning with extensive pre-production planning before moving to blockouts and detailed modeling. Her recent academic contribution includes the 2025 presentation "Hard Surface Workflows: Clean SubD Topology & Baking" at Gamebridge in Cambridge, which demonstrates her expertise in professional-grade modeling techniques that balance aesthetic quality with technical requirements of game engines. This work reflects broader trends in game development toward efficient asset creation pipelines and optimized real-time rendering. Praschma has been featured in industry publications including Creativepool Editorial's #MemberSpotlight, where she discussed her creative process and professional insights. She has contributed to institutional content for SAE Institute UK and participated in interviews regarding "The relationship between video games and global learning." As an educator, Praschma emphasizes maintaining creative passion outside professional work to avoid burnout. She advises aspiring creatives to focus on developing an exceptional portfolio with approximately three showcase pieces and to prioritize gaining initial industry experience, recognizing that internal recommendations often lead to better fitting roles. Her technical expertise spans industry-standard tools including Maya, Substance Painter, ZBrush, Photoshop, and Unreal Engine, with particular proficiency in asset creation, texturing, and cinematic look development.