جست‌وجوی استاد و پژوهشگر

• Computer Graphics
• Procedural Generation
• Real-time Rendering
• +۷ مورد دیگر

Pascal Guehl is a Part-Time Lecturer in Computer Graphics at the University of Strasbourg and Head of the new Master of Science and Technology in Extended Cinematography at École Polytechnique (LIX lab). He holds a PhD in Computer Graphics from the University of Strasbourg (2022) and has extensive experience in R&D roles across industry and academia. His core expertise spans procedural generation, real-time rendering, GPU computing, and virtual production technologies, with notable contributions to texture synthesis and semi-procedural modeling. Education highlights include a MRes from University Lyon 1 (2016), an Advanced Master from Arts & Métiers ParisTech (2005), and a master's in Physics from University Cergy-Pontoise (2000). His teaching spans over 15 years, covering C++ programming, real-time 3D graphics, and generative AI. Research focuses on interdisciplinary applications of computer graphics in film production, biology visualization, and defense systems. Key achievements include the semi-procedural texture synthesis framework (SIGGRAPH 2020) and leadership in ANR-funded projects like Animation Conductor (2023-2027). Awards include a Graphics Replicability Stamp and Honorable Mention for procedural texture work. Professional affiliations include ICube research lab (University of Strasbourg), where he co-supervises PhD students like Tara Butler, and collaborations with institutions like Telecom Paris, ENS Louis-Lumière, and Purdue University. Current projects emphasize extended cinematography tools and generative AI integration in visual effects pipelines.

• 3D Printing
• Additive Manufacturing
• Welding
• +۶ مورد دیگر

Ulas Yaman is an Assistant Professor in the Department of Mechanical Engineering at Middle East Technical University (ODTÜ), Ankara, Turkey. He holds a PhD (2014), MSc (2010), and BSc (2007) in Mechanical Engineering from ODTÜ, with a minor in Mechatronics. His academic career includes a Visiting Assistant Professor role at Purdue University (2014-2015) and Research Assistant positions at ODTÜ (2007-2014). Education: PhD, Mechanical Engineering, ODTÜ (2007-2014) MSc, Mechanical Engineering, ODTÜ (2007-2010) BSc, Mechanical Engineering, ODTÜ (2003-2007) Minor in Mechatronics, ODTÜ (2004-2007) Professor Yaman's research focuses on 3D Printing, Additive Manufacturing, CAD/CAM architectures, FPGA-based embedded systems, and computational geometry for manufacturing . His work addresses challenges in dimensional accuracy, interior structure optimization, and command generation paradigms for CNC and 3D printing systems. He developed the LIPRO pipeline, leveraging Python-based scripting and List Processors to reduce G-code file sizes by up to 99.7% in FDM applications. Scientific Contributions: Fundamental advancements in 2.5D curve offset generation using mathematical morphology Innovative shrinkage compensation techniques for FDM 3D printing Hybrid manufacturing systems integrating additive and subtractive processes Query-based CAD/CAM architectures for heterogeneous printing Real-time interpolator implementations on FPGA hardware Awards & Grants: Best Paper Award, IEEE Workshop on Intelligent Solutions in Embedded Systems (2016) TÜBİTAK 1001 Project Grant (2017-2020) for Hybrid Manufacturing Systems TÜBİTAK 3001 Grant (2017-2018) for LIPRO Pipeline Development ODTÜ-BAP Grant (2016) for Dimensional Accuracy Improvement TÜBİTAK PhD Scholarship (2010-2014) As an educator, he has taught advanced courses including ME 533 - Computer-Aided Design and ME 414 - System Dynamics at ODTÜ since 2015. His laboratory leads projects on smart manufacturing systems and develops open-architecture platforms for experimental validation of novel fabrication paradigms.

John Essexمشاهده پروفایل

استاد

• Molecular simulations of biological systems
• Computer aided drug discovery
• Method development in molecular simulations

Professor Jonathan W. Essex is a faculty member in the Department of Chemistry at the University of Southampton, specializing in Computational Systems Chemistry. His research focuses on molecular simulations of biological systems, computer-aided drug discovery, and method development in molecular simulations. Education: First-class honors in Chemistry from Oriel College, Oxford (1989); D.Phil. in computational modeling at Oxford Academic Career: Royal Society University Research Fellow (1994), Lecturer (1997), Senior Lecturer (2001), Reader (2005), Personal Chair (2007) Research interests center on advancing computational methodologies for biological systems, with applications in pharmaceutical development and medical diagnostics. His group develops innovative simulation techniques deployed in drug design, antibody structure analysis, and nano-scale material studies through collaborations with industry and academic partners. Scientific contributions include 13 major publications (2013-2025) spanning computational drug discovery, biomolecular simulations, and quantum physics. Key projects involve: Model for Anti-Toxin Medical Countermeasures (DTRA) Immunostimulatory Antibodies (Cancer Research UK) Protein Dynamics Visualization ('Time Travel' project) 2002 Marlow Medal (Royal Society of Chemistry) Royal Society Wolfson Research Merit Award (2013) He serves on the EPSRC College and CCPBioSim advisory board, with extensive grant funding from EPSRC, BBSRC, and Cancer Research UK for projects including ExaBioSim (exascale biomolecular simulations), Sequential Monte Carlo sampling, and antibody engineering research.

• Artificial Intelligence
• Image Processing
• Genetic Programming
• +۳ مورد دیگر

Gayan Wijesinghe is a Lecturer (Education Focused) at the School of Computing Technologies, RMIT University, Australia. His research interests include Artificial Intelligence, Image Processing, Genetic Programming, and Algorithmic Reasoning. He focuses on developing educational tools to enhance programming skills and cognitive development in students. His work spans algorithm design, evolutionary computation, and applications in computer vision and medical imaging. Research outputs include contributions to genetic programming, image classification, and optimization techniques. Notable projects explore trajectory creation for code writing and parameter optimization in object detection. Collaborations have involved institutions and researchers in evolutionary algorithms and software engineering. No scientific awards or grants are explicitly mentioned in the provided texts. His academic role emphasizes education-focused research and innovation in computing technologies.

• Structural Engineering
• Architecture
• Civil Engineering
• +۳ مورد دیگر

Dr. Zhi 'Albert' Li is a Researcher and Postdoctoral Researcher at RMIT University's School of Engineering, specifically within the Centre for Innovative Structures and Materials (CISM). He holds a Ph.D. from RMIT University and a Bachelor of Fine Arts in Environmental Design from Tianjin University. His research focuses on topology optimization, computational design, and advanced manufacturing techniques, with particular emphasis on integrating subjective preferences and extended reality (XR) into structural design processes. Education: Bachelor of Fine Arts in Environmental Design, Tianjin University (2018) Ph.D. in Structural Engineering, RMIT University (2024) Research Interests: Topology optimization considering subjective preferences Integration of extended reality (XR) in topology optimization Design and construction of complex architectural surfaces Advanced manufacturing techniques including robotic fabrication Computational design tools development Achievements and Awards: Postgraduate Research Excellence Award (2024) DNA Paris Design Award (2024) Third Prize, International 3D Printing and Design Competition (2020) DigitalFUTURES Coding Award (2020) Third Prize, National Universities Bamboo Design and Construction Competition (2017) He is open to supervising Masters and PhD students in research areas related to his expertise. His work is supported by the ARC Laureate Fellowship project under the supervision of Emeritus Professor Mike Xie. He has also contributed to software development, including tools like iBESO, VR-BESO, and Legolizer, which aid in topology optimization and computational design. Labs/Teams: Centre for Innovative Structures and Materials (CISM), RMIT University.

André Storkمشاهده پروفایل

استاد

• Computer Graphics
• Computer-Aided Design (CAD)
• Simulation
• +۴ مورد دیگر

Prof. André Stork is a Professor at Technische Universität Darmstadt and Industry Director (Automotive) at Fraunhofer IGD. He holds a PhD in Computer Science (2000) and a diploma (1992) from TU Darmstadt. His research focuses on geometry modeling/processing, 3D interaction, simulation, and visualization. He leads projects in automotive/ manufacturing industries, coordinating over 200 R&D initiatives. His work emphasizes real-time simulation, CAD-AM integration, and GPU-based algorithms. Education: PhD in Computer Science (TU Darmstadt, 2000) Key Roles: Department Head (2002–2023), Editor-in-Chief of IEEE CG&A Research interests include graded multi-material CAD, iso-geometric analysis, and interactive design tools. He has authored/co-authored 200+ papers (h-index 25), focusing on fields like real-time rendering, mesh processing, and Industry 4.0 applications. Recent articles highlight trends in GPU-accelerated simulation, digital twin technologies, and metaverse infrastructure. His work bridges academia and industry, addressing challenges in additive manufacturing and virtual prototyping. Students advised: 6 doctoral/master’s students (e.g., Daniel Ströter, Christian Altenhofen) Key Projects: GraMMaCAD, CloudiFacturing, and Industry 4.0 studies He chairs conferences like VAST and serves on editorial boards for journals including IEEE CG&A and Applied Sciences.

Edward John Navaمشاهده پروفایل

مدرس

• Information Security
• Cloud Computing
• Computer Networks
• +۳ مورد دیگر

Edward John Nava is a Lecturer in the Department of Electrical and Computer Engineering at the University of New Mexico (UNM). He holds a Ph.D. in Engineering from UNM (2015), specializing in information security within cloud computing environments. Prior to academia, he served 31 years at Sandia National Laboratories, where he led high-consequence system analysis, vulnerability assessments, and research into inherently secure systems. Retired from the US Navy Reserve as a Commander, he also taught at the US Naval Academy and co-founded the Afloat University to train Navy personnel in secure IT operations. Education: Ph.D., Engineering, UNM, 2015 M.S., Electrical Engineering, Stanford University, 1980 B.S., Electrical Engineering, UNM, 1979 A.S., Electronic Engineering Technology, New Mexico State University, 1973 Research Focus: Enhancing information security in computer systems, particularly cloud environments, through robust architectures and software. His work emphasizes preventing inadvertent/intentional data compromise while maintaining performance. Teaching Areas: Software Design, Computer Networks, Operating Systems, and Data Structures. He has taught numerous courses since 2011, including Intro to Computer Networks and Software Engineering . Key Awards: Multiple Sandia National Laboratories Individual Performance Awards (2006–2010) US Navy Meritorious Service Medal (2001) Los Alamos Distinguished Performance Award (2005) Labs/Teams: Led multi-organizational teams at Sandia, including a Grand Challenge proposal for secure system design, and managed embedded computing groups with 75+ staff members.

Malte Elsonمشاهده پروفایل

استاد

• Psychology of Digital Media
• Cybersecurity Behavior
• Aggression Research
• +۳ مورد دیگر

Prof. Dr. Malte Elson is a Professor and Head of the Department of Psychology of Digitalization at the University of Bern. His work bridges psychological research with digital technologies, focusing on cybersecurity behavior, aggression in digital contexts, and methodological rigor in psychological studies. He holds a prominent role in advancing reproducible research practices and ethical guidelines in academia. Research Interests: Elson's research spans cybersecurity self-efficacy, digital game effects on aggression, and the application of rigorous methodologies to address biases in psychological research. He emphasizes improving peer review processes and open science practices to enhance scientific credibility. Key Contributions: His work includes developing the Cybersecurity Self-Efficacy in Smart Homes (CySESH) scale, advocating for standardized retraction policies, and analyzing the reproducibility of open data practices. Elson also leads initiatives to educate researchers on ethical consent procedures under GDPR and collaborates on hardware reverse engineering studies. Advising & Grants: While specific grant details are not provided, Elson's leadership role suggests involvement in major research programs. He collaborates with interdisciplinary teams across computer science and psychology to address societal challenges posed by digitalization. Labs/Teams: Leads the Department of Psychology of Digitalization at the University of Bern, fostering research at the intersection of human behavior and technology.

Eugene Fiumeمشاهده پروفایل

استاد

• Computer Graphics
• Animation
• Fluid Simulation
• +۳ مورد دیگر

Eugene Fiume is a Professor and Dean of the Faculty of Applied Sciences at Simon Fraser University (SFU). He holds a Ph.D. in Computer Science from the University of Toronto (1986), an M.Sc. from the same institution (1982), and a B.Math (Hons.) in Computer Science from the University of Waterloo (1981). His research focuses on computer graphics, animation techniques, and educational applications of technology. He leads the Tangent Lab, exploring advanced topics in fluid simulation, facial animation, and physics-based motion retargeting. His work spans interdisciplinary areas, including fluid dynamics, mesh processing, and game development. Notable contributions include VEMPIC (particle-based fluid simulation), animator-centric tools like Jali for lip synchronization, and vocal animation frameworks for expressive speech. He has held leadership roles in academic administration and has contributed to industry-research collaborations through his deanship. Publications emphasize innovation in animation systems, real-time rendering, and procedural modeling. His research has been applied in gaming (e.g., Cyberpunk 2077 facial animations) and medical imaging, reflecting a blend of theoretical and applied computer science.

• Medicinal Chemistry
• Computational Chemistry
• Drug Design
• +۳ مورد دیگر

David Chalmers is an Associate Professor in Medicinal Chemistry at Monash University's Faculty of Pharmacy and Pharmaceutical Sciences, affiliated with the Monash Institute of Pharmaceutical Sciences. He specializes in computational drug design, focusing on molecular dynamics simulations, machine learning, and peptide chemistry to develop novel therapeutics targeting diseases like heart failure, Alzheimer’s, and HIV. His research integrates computational modeling with experimental validation to address challenges in drug-receptor interactions and drug formulation stability. He leads multiple interdisciplinary projects funded by the National Health and Medical Research Council (NHMRC) and collaborates globally on drug discovery initiatives. Research Interests: Computational chemistry, drug design, peptide analogues, AI-driven drug discovery, lipid-based formulations. Key Projects: Alpha1-adrenoceptor drug development for heart failure/Alzheimer’s, HIV reverse transcriptase inhibitors, mRNA lipid nanoparticle stability. Recent Work: Over 110 publications (2022-2025), including studies on peptide antagonists, molecular dynamics of drug formulations, and AI-enhanced molecular property prediction. His work contributes to UN Sustainable Development Goals related to good health and well-being, advancing precision medicine through innovative computational approaches.

Turner Nicholasمشاهده پروفایل

استاد

• Asymmetric synthesis
• Synthetic biology
• Directed evolution of enzymes
• +۳ مورد دیگر

Nicholas Turner is a Professor of Chemical Biology at the University of Manchester, UK, since 2004. Previously, he held positions at the University of Edinburgh (1998-2004 as Professor, 1995-1998 as Reader) and University of Exeter (1987-1995 as Lecturer). His research focuses on asymmetric synthesis, synthetic biology, directed evolution of enzymes, protein engineering, and biocatalysis, with emphasis on developing innovative enzymatic methods for sustainable chemical synthesis. He has received numerous accolades, including the 2020 Fellowship of the Royal Society, the 2018 ACS Catalysis Lectureship, and an ERC Advanced Grant (2017-2022). His work bridges fundamental enzymology with industrial applications, addressing challenges in drug development and process chemistry through enzyme engineering and biocatalytic cascade design. Turner’s contributions span enzymatic reaction discovery, biocatalytic pathway optimization, and sustainable synthesis strategies. His recent research highlights include the RetroBioCat platform for computer-aided biocatalytic synthesis planning and the development of reductive aminase cascades for amine synthesis. His studies on imine reductases and carboxylic acid reductases have advanced understanding of enzyme mechanisms and their applications in industrial processes.

Darrell F. Kaminskiمشاهده پروفایل

استادیار

• Bridge Engineering
• Transportation Engineering
• Civil Engineering
• +۳ مورد دیگر

Darrell F. Kaminski is an Assistant Professor of Practice in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo. He holds a Professional Engineer (PE) license in the State of New York. His research focuses on Bridge Engineering and innovative solutions for snow control measures in transportation infrastructure. He is affiliated with the School of Engineering and Applied Sciences and contributes to both academic and applied engineering projects. His work includes developing expert systems and computer-aided design tools for highway safety, as seen in his notable publications on passive snow control. While no specific education details are listed here, his curriculum vitae indicates expertise in transportation and structural engineering. No scientific awards or grants are explicitly mentioned in the provided text. He advises no listed students, and specific lab affiliations are not detailed.

Scott Hendersonمشاهده پروفایل

استاد

• Cell Biology
• Microscopy Techniques
• Immunology
• +۳ مورد دیگر

Scott Henderson, PhD, is a Professor and Director of the Microscopy Core Facility at Scripps Research. He holds a PhD in Zoology/Cell Biology from the University of Western Ontario (1990) and completed postdoctoral training at Cold Spring Harbor Laboratory. With nearly 25 years of experience directing microscopy facilities, Henderson specializes in advanced imaging techniques including super-resolution microscopy (MINFLUX, STED, STORM), confocal microscopy, and electron microscopy. His work focuses on understanding cellular processes and disease mechanisms through spatial and temporal visualization of molecular interactions. Professional experience includes leading microscopy facilities at Virginia Commonwealth University (2004–2017) and Mount Sinai School of Medicine (prior to 2004). Henderson’s research emphasizes multi-dimensional imaging to quantify dynamic cellular activities such as cell migration, protein expression changes, and subcellular molecular movements. His facility provides comprehensive services including experimental design, image analysis training, and grant application support. Awards : NASA STS-107 Group Achievement Award (2005), Excellence in Graduate Teaching (1989), and multiple fellowships/scholarships. His contributions bridge microscopy innovation with translational research, aiding studies in immunology, virology, cancer biology, and synthetic biology. Labs/Teams: Lead of the Microscopy Core Facility, Department of Integrative Structural and Computational Biology.

• Pharmacology
• Pharmacy
• Chromatography
• +۷ مورد دیگر

Krzesimir Ciura is an Assistant Professor in the Department of Physical Chemistry at the Faculty of Pharmacy, Medical University of Gdańsk. He holds a doctoral degree (2018) and habilitation (Dr. Habil.). His research focuses on pharmacology and pharmacy, with a strong emphasis on chromatographic methods, QSAR modeling, nanomaterial safety, and drug delivery systems. Key research interests include: Development of biomimetic chromatography techniques for drug property prediction QSAR/QSPR modeling for nanomaterial toxicity and physicochemical properties Design of novel drug candidates (e.g., anticancer sulfonamides, Alzheimer’s therapies) Analysis of liposome interactions and zeta potential prediction Environmental and human health impact of nanomaterials With over 100 publications and 2 projects, Ciura contributes to interdisciplinary fields like nanoinformatics, toxicology, and green chemistry. His work bridges analytical methods with biomedical applications, emphasizing translational research. Achievements include contributions to the CompSafeNano project and HBM4EU E-waste study, advancing safe-by-design nanomaterials and environmental health assessments. His lab specializes in cutting-edge techniques like machine learning-driven chromatography and metabolomics.

Elena Ivanova Zaharieva-Stoyanovaمشاهده پروفایل

دانشیار

• Computer-Aided Design (CAD)
• Image Processing
• Knitting Industry Automation
• +۵ مورد دیگر

Elena Ivanova Zaharieva-Stoyanova is an Associate Professor at the Technical University of Gabrovo, Bulgaria, specializing in Computer Systems and Technologies. She holds a Doctorate in Automated Design Systems in Knitwear Production (1999) and was appointed Associate Professor in 2005. Her academic career spans over 25 years at the Technical University of Gabrovo, progressing from Assistant to her current position. Dr. Zaharieva-Stoyanova's research focuses on the intersection of computer science and traditional textile arts, particularly developing CAD/CAM systems for knitting and crochet industries. Her work bridges software engineering with cultural heritage preservation, creating digital representations of traditional costumes and developing specialized XML-based languages for craft pattern description. She teaches Object-Oriented Programming and Introduction to Programming at the bachelor's level, and Platform-Independent Programming at the master's level. Her publication record shows a clear progression from foundational CAD system development to sophisticated digital representation of traditional crafts. The most recent articles demonstrate her specialization in XML-based languages for knitting and crochet symbols, color stitch representation, and validation modules for traditional costume digitization. This research trajectory reflects a deep commitment to preserving cultural heritage through technological innovation. Dr. Zaharieva-Stoyanova has participated in numerous scientific projects funded by the Scientific Research Fund from 2001-2017, covering image processing in CAD systems, digital data transmission, and most recently, cloud-based medication monitoring systems. She is a member of both the Union of Scientists in Bulgaria and the Union of Automation and Informatics. Fluent in English and Russian with excellent reading and very good writing and speaking skills in both languages, she has conducted specializations in the Czech Republic and Croatia under the CEEPUS project. Her international collaborations are evident in her publications presented at conferences across Europe including Bulgaria, Serbia, Macedonia, Greece, Spain, Austria, Romania, and Ireland.