جست‌وجوی استاد و پژوهشگر

Catherine Duclosمشاهده پروفایل

دانشیار مدعو

• Consciousness and its alterations
• Anesthesia
• Sleep and circadian rhythms
• +۵ مورد دیگر

Catherine Duclos is an Adjunct Associate Professor affiliated with multiple departments at the Université de Montréal's Faculty of Medicine, including Anesthesiology & Pain Medicine, Neurosciences, and Pharmacology & Physiology. She holds a PhD in Psychiatry (2018) with exceptional distinction and completed a postdoctoral fellowship at McGill University and Western University, focusing on consciousness, anesthesia, and computational neuroscience. Research Focus : Her work centers on characterizing brain networks in altered states of consciousness (e.g., anesthesia, coma, TBI) using high-density EEG and computational methods. Key themes include improving cognitive outcomes in surgical/critical care patients through network modulation, developing neurocomputational tools for consciousness prediction, and investigating sleep disruptions post-TBI. She leads or co-leads major grants totaling $8.1M CAD, including the UNIQUE AI-neuroscience initiative and CIFAR-Azrieli programs. Affiliations : Researcher at Hôpital du Sacré-Cœur de Montréal (trauma/critical care and neurophysiology axes), affiliated with CIUSSS Nord-de-l'Île-de-Montréal and the Centre d'études avancées en médecine du sommeil (CÉAMS). Active in translational research with collaborations across Quebec’s neuroscience and AI ecosystems. Grants & Funding : Secured funding from FRQS (Junior 1), CRSNG, Fondation Canadienne pour l'Innovation, Brain Canada, and others. Her infrastructure projects include EEG setups for consciousness modulation and neuro-AI integration. Community Engagement : LGBTQ+ advocate as volunteer and board member of GRIS-Montréal, promoting inclusivity in science. Publicly shares her journey as a lesbian mother and researcher to inspire marginalized communities.

• Computational Terminology
• Natural Language Processing
• Corpus Linguistics
• +۴ مورد دیگر

Patrick Drouin is a Professor and Department Director at the Université de Montréal , based in the Faculté des arts et des sciences and the Departement de linguistique et de traduction . His research focuses on computational terminology, corpus linguistics, and the automatic acquisition of specialized lexicons. He leads major projects like the NÉONUM initiative for monitoring Quebec French neology and the Lexique entre humains et machines team exploring human-machine lexical interactions. Teaching: He teaches advanced terminology (TRA-3455), localization workshops (TRA-6301), and directs programs in Linguistics and Translation at both undergraduate and graduate levels. Over 10 PhD and Master's students have been supervised by Drouin since 2007, focusing on topics like semantic shifts, terminological evolution, and corpus-based lexicography. Research Projects: Co-leads interdisciplinary teams funded by FRQSC and SSHRC, including studies on morphophonological variation via Twitter data, transdisciplinary vocabulary for primary education, and the historical analysis of terminology in translation studies. Key contributions include the SyllabO+ corpus and the QC-FR-Diac-V1 semantic shifts dataset. Grants: Secured over CAD 2M in funding for projects like Twitter-MPhon (2021–2025) and Lexiques nucléaires (2019–2025), emphasizing computational methods in linguistic research. Labs/Teams: Active in the Equipe SE (Lexical Studies) and collaborates with institutions like IRIC for biology-informatics interfaces. His work bridges theoretical linguistics with applied technologies for terminology management and language education.

Craig Abbeyمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Human Visual System
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Craig Abbey is a Researcher at the University of California, Santa Barbara (UCSB), affiliated with the Vision and Image Understanding Lab. His work focuses on optimizing medical image analysis through mathematical modeling of human visual perception and engineering parameters like image processing algorithms. He held prior roles including Assistant Professor at UC Davis Biomedical Engineering and postdoctoral fellowships in Medical Physics. Abbey’s research integrates computational models with experimental psychophysics to improve medical imaging applications, particularly in breast cancer screening and CT/SPECT imaging. Educations: PhD in Applied Mathematics (University of Arizona, 1998) Research interests center on how visual tasks (e.g., lesion detection) are influenced by image noise textures, display engineering, and visual adaptation effects. He explores AI-driven tools for enhancing radiologist performance and developing anthropomorphic model observers that replicate human visual search strategies in 3D medical imaging. Recent work addresses sequential reading effects in mammography, non-Gaussian noise properties in CT, and deep learning-based denoising techniques for SPECT/CT. His studies highlight practical applications like optimizing screening protocols and improving diagnostic accuracy through adaptive image ordering. Labs/Teams: Vision and Image Understanding Lab at UCSB.

• Computer-Aided Design (CAD)
• Graphic Engineering
• Educational Technology
• +۴ مورد دیگر

Pedro Ignacio Álvarez Peñín is a Professor at the University of Oviedo, Department of Construction and Manufacturing Engineering, specializing in Graphic Expression in Engineering. His research focuses on Computer-Aided Design (CAD), educational technology, and applications of graphic engineering. He has directed four doctoral theses and actively contributes to academic conferences and publications. Notable projects include the development of platforms like DIBUTEC and Selfcad, which enhance interactive learning in CAD and engineering graphics. His work integrates CAD with medical imaging for surgical simulations and explores BIM technology in industrial education. He has collaborated extensively on projects addressing curriculum adaptation to European standards and modernizing technical drawing education through multimedia and web-based tools. Institutions: University of Oviedo (1988–present) Education: Ph.D. in Graphic Design Systems from the University of Oviedo (1988). Research Interests: CAD in education, interactive learning systems, BIM technology, medical imaging applications, graphic engineering pedagogy, and software integration for engineering projects. He emphasizes practical applications of CAD tools in both academic and industrial contexts. Articles Trends: His work spans CAD education, software development for engineering documentation, and the integration of technology into teaching. Recent projects highlight cross-platform tools (e.g., DIBUTEC), mobile applications for energy simulation, and BIM-based industrial training. Earlier contributions explored algorithmic approaches to CAD systems and 3D modeling for surgical planning. Directed Theses: Bernardo Busto Parra (2016): Industrial project management with ICT. Pablo Pando Cerra (2006): 3D CAD learning environments. Ramón Rubio-García (2003): Modular CAD applications. Maximo Roman Perez Morales (2002): Descriptive geometry teaching tools. Grants/Projects: Multiple collaborations on EU-funded educational technology initiatives and graphic engineering research. Labs/Teams: Part of the University of Oviedo’s Graphic Engineering research group, focusing on CAD integration and educational innovation.

• Cybernetics
• Computational Architecture
• Digital Twins
• +۷ مورد دیگر

Liss C. Werner is a computational design researcher at Dessau International Graduate School of Architecture , focusing on the intersection of cybernetics, architecture, and digital systems. Her work explores bio-computational reactors, digital twins for buildings, and slime mold-based architectural models. She contributes to urban planning through GIS-based tools and investigates historical cybernetic principles in design. Key Research Areas: Cybernetics, computational architecture, bio-digital integration, digital twins, and urban systems. Collaborations: Projects with scholars in Germany, Austria, and Sweden, including studies on microbial fuel cells and particle physics applications. Theoretical Contributions: Extended Gordon Pask's Conversation Theory into architectural design, proposed 'sixth ecology' frameworks, and critiqued bio-digital fantasies in design. Tools & Methods: Uses Python OpenCV, Grasshopper/Rhinoceros, Arduino-Uno, and parametric CAD environments for bio-reactor monitoring and urban optimization. Publications: 15 recent works cover topics from digital infrastructure in the Anthropocene to cybernetic feedback mechanisms in architecture, with a focus on adaptive geometries and human-machine co-evolution.

Jordi Cortadella Fortunyمشاهده پروفایل

استاد

• Electronic Design Automation
• Concurrent Systems
• Algorithms
• +۶ مورد دیگر

Jordi Cortadella Fortuny serves as a Full Professor in the Department of Computer Science at the Faculty of Informatics of Barcelona (FIB), Polytechnic University of Catalonia (UPC), where he has maintained continuous academic service since 1985. He currently chairs the UPC Ethics Committee (2021-2025) and leads research within the ALBCOM group specializing in algorithms, bioinformatics, complexity, and formal methods. Education: M.S. in Computer Science, Universitat Politècnica de Catalunya, 1985 Ph.D. in Computer Science, Universitat Politècnica de Catalunya, 1987 Research Interests: Professor Cortadella's pioneering work centers on Electronic Design Automation (EDA) with deep specialization in asynchronous circuit design and concurrent systems . His research integrates formal methods and mathematical optimization to solve complex VLSI design challenges, particularly in logic synthesis and computer arithmetic. This interdisciplinary approach bridges theoretical computer science with practical semiconductor engineering, yielding significant industry impact through patented methodologies and industrial collaborations. Scientific Awards: Fellow of the IEEE (2015) Member of Academia Europaea (2013) Distinction for University Research Promotion by Catalan Government (2003) Five-time Best Paper Award recipient at premier conferences (2004-2020) Descartes Prize Finalist (2002) UPC Best Ph.D. Thesis Award (1992) National Computer Science Student Award (1986) Advising and Service: Cortadella has mentored numerous graduate students while serving on editorial boards for IEEE Transactions on CAD and SN Computer Science. His extensive service includes technical committee leadership at major international conferences and co-founding Elastix Corp. as Chief Scientist (2007-2010), where he directed Barcelona-based R&D for semiconductor verification tools. Research Infrastructure: As core member of the ALBCOM research group, he directs projects in algorithmic foundations of EDA, maintaining strong industry partnerships with Intel and semiconductor design firms through UPC's CITCEA laboratory facilities.

Andreas Dietzelمشاهده پروفایل

استاد

• Mechanical Engineering
• CAD (Computer-Aided Design)
• Finite Element Method (FEM)
• +۴ مورد دیگر

Prof. Dr.-Ing. Andreas Dietzel is a faculty member at the Faculty of Mechanical Engineering, Ilmenau University of Technology. His work focuses on CAD, mechanical design, and optical metrology for manufacturing processes. Educational background includes a dissertation on modeling forming limits of beech veneer at TU Ilmenau (2017). Research interests center on natural fiber composites, finite element modeling (FEM), and optical strain measurement techniques. He has developed simulation methods for 3D veneer deformation and climate-adapted material testing. Recent publications emphasize orthotropic material models for veneer, automated deformation analysis, and multi-layer composite characterization. Collaborations span projects like InnoFur and ViPrüf. He leads research initiatives integrating experimental material characterization with FEM simulations for composite durability and process optimization.

Zahed Siddiqueمشاهده پروفایل

استاد

• Engineering Design Education
• Internet-Based Product Design
• Collaborative Engineering Design
• +۱۵ مورد دیگر

Zahed Siddique, Ph.D., is the Associate Dean for Research and Dick and Shirley O'Shields Professor in the School of Aerospace and Mechanical Engineering at the University of Oklahoma. He has previously served as the Director of AME at OU and is actively engaged in engineering design education, virtual prototyping, and additive manufacturing research. Ph.D., Mechanical Engineering, Georgia Institute of Technology (2000) M.S., Mechanical Engineering, Georgia Institute of Technology (1996) B.S., Mechanical Engineering, Georgia Institute of Technology (1994) Dr. Siddique's research focuses on developing tools to enhance engineering design education , Internet-based product design for collaborative environments, and design for product variety using graph grammars and combinatorics. His work extends to virtual prototyping , next-generation CAD systems, and design for sustainability , with recent emphasis on AI integration in additive manufacturing and defect detection. His recent publications highlight trends in additive manufacturing , machine learning applications for imbalanced data, and human factors in engineering education . Articles analyze digital twins, diffusion models, hydrogen fuel challenges, and neurocognitive impacts of environmental conditions on student performance. Scientific Awards Regents' Award for Superior Teaching (2008) Ralph R. Teetor Educational Award (2007) Brandon H. Griffith Award (2007) Junior Faculty Research Award (2001) Dr. Siddique has taught courses such as Design Practicum , Design for X , and Product Family Design . He leads the Product and Process Design Lab , fostering innovation in engineering education through 3D printing and advanced materials.

• Robotics
• Mechatronic System Design
• Computer Aided Design and Manufacturing
• +۱ مورد دیگر

Cüneyd DEMİR is a full-time Lecturer at Ahi Evran University's Mucur Vocational School, Department of Computer Technologies. He has held this position since 2019 and was promoted to Doktor Öğretim Görevlisi (Lecturer with PhD) in 2024. His administrative roles include Department Head (2021-2023), Vice Director of the Vocational School (2021-present), and membership in university committees (Quality Board, Management Council). He holds a PhD in Industrial Design Engineering from Gazi University (2020-2024), an MSc in Defense Technologies from Kırıkkale University (2015-2017), an MSc in Occupational Health and Safety from Aksaray University (2019), and a BSc in Mechatronic Engineering from Gaziosmanpaşa University (2011-2015). His research focuses on Robotics , Mechatronic System Design , Computer-Aided Design/Manufacturing (CAD/CAM) , and Artificial Intelligence , with emphasis on unmanned ground vehicles (UGVs), defense systems, renewable energy integration, and AI-driven design methodologies. Publications primarily explore UGV design using machine learning, solar-powered autonomous systems, and material science for robotics. Recent works demonstrate strong trends in AI/neural network applications for defense technology and systematic design processes. He contributed to the TÜBA/TÜBİTAK-supported project: "Güneş Enerjisi İle Uçuş Süresi Artırılmış Otonom Model Uçak" (Solar-Powered Autonomous Model Aircraft with Extended Flight Duration, 2014-2015) as a researcher.

• Digital Human Modeling
• Virtual Reality
• Human-Robot Interaction
• +۵ مورد دیگر

Maurice Lamb is a researcher at the University of Skövde , affiliated with the Interaction Lab (ILAB) and the School of Informatics . His work bridges digital human modeling (DHM) , virtual reality , and human-robot interaction (HRI) with applications in automotive design and cognitive science . Research interests include: Automated design optimization using simulation-based multi-objective methods Collaborative tools for remote design reviews and CAD integration Cognitive implications of inverse kinematics solvers (FABRIK) in motor planning Impact of XR technologies on motor skill learning and human-agent coordination Methodological challenges in NARS (Negative Attitude toward Robots Scale) application Key projects include PLENUM (Vinnova-funded) and OKAVIM (AFA Insurance-funded), focusing on remote collaboration , ergonomics , and cognitive support in VR/XR . His publications span IEEE , Springer , and Elsevier journals, often co-authored with experts like Francisco Garcia Rivera, Erik Billing, and Dan Högberg.

Rabih Younesمشاهده پروفایل

دانشیار

• wearable computing
• artificial intelligence
• machine learning
• +۶ مورد دیگر

Rabih Younes is an Associate Professor of the Practice in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He also serves as the Associate Director of Undergraduate Studies and is a Faculty Network Member of the Duke Institute for Brain Sciences. Additionally, he is the Duke FRC Program Director for team 8429, Valence Robotics, and Head of the Duke KEEN Leadership Team. Dr. Younes received his PhD in Computer Engineering from Virginia Tech in 2018, following his MSE in Computer Engineering from the Lebanese American University in 2013 and his BE in Computer Engineering from the same university in 2011. He speaks nine languages (fluent in three) and holds various certificates including Engineering Education and Future Professoriate, Cisco Networking Academy certifications (CCNP, CCNA, ITE Instructor Trainer), National Instruments CLAD, and USPA A-Licensed Skydiver. His research spans wearable computing, ubiquitous/pervasive computing, activity recognition, context awareness, machine learning, engineering education, and Middle Eastern politics. Dr. Younes has published extensively on topics ranging from wearable health monitoring systems to innovative approaches in engineering education. His recent work demonstrates a growing integration of machine learning techniques with wearable sensor data for health applications, activity recognition, and educational assessment tools. Dr. Younes' scholarly output shows a consistent trajectory from fundamental wearable computing research toward practical applications in health monitoring and educational technology. His publications reveal an increasing focus on real-world implementation challenges, data augmentation techniques, and educational assessment tools that bridge engineering theory with practical classroom applications. Tau Beta Pi honor society member Eta Kappa Nu honor society member Phi Kappa Phi honor society member Golden Key honor society member KEEN Annual Support grant (2024-2026) Dr. Younes actively mentors students through various programs including EGR 393: Research Projects in Engineering and ECE 899: Special Readings in Electrical Engineering. He has received grant support through the KEEN Annual Support program for 2024-2026, focusing on innovative engineering education approaches. His teaching philosophy emphasizes student development beyond academics, incorporating life skills and critical thinking. As Director of Valence Robotics (team 8429), Dr. Younes leads high school robotics initiatives that have earned state championship qualifications. His lab work focuses on wearable computing systems with applications in health monitoring (including pet emotional health tracking), activity recognition, and educational technology tools. He utilizes agile project management frameworks like Scrum in his courses and implements tools to enhance student learning retention.

• Medical Imaging
• Machine Learning
• Computer-Aided Diagnosis
• +۳ مورد دیگر

Gökalp Tulum is a researcher affiliated with Arel University (Istanbul Arel University) and has contributed extensively to Medical Imaging , Machine Learning , and Biomedical Engineering . His work focuses on Computer-Aided Diagnosis (CAD) systems for detecting medical conditions like pulmonary embolism , kidney trauma , and diabetic foot complications using CT scans , MRI , and deep learning . He has collaborated with researchers including Onur Osman , Uygar Teomete , and Ferhat Cüce on projects related to organ segmentation , volume calculation , and remote patient monitoring . Research Interests Development of automated segmentation tools for abdominal organs (e.g., spleen, kidney, renal cortex/medulla). Application of radiomics and deep learning in differential diagnosis of neurological and diabetic conditions. Validation of CAD systems for trauma detection and volume measurement accuracy via phantom studies. Key Publications 2025: AI-driven methods for central nervous system infection and trigeminal nerve classification . 2024: Image processing techniques for CNC tool breakage detection and pulmonary embolism diagnosis. 2023: Comparative analysis of radiomics and deep learning in small datasets for cancer metastasis differentiation. Technical Contributions Co-developer of ManSeg 2.6b , a semi-automated segmentation tool for abdominal organs. Proposed Butterworth-based volume calculation algorithms for kidneys and renal substructures. Created projection image-based classification systems for colonic polyps using convolutional neural networks .

• Robotics
• Control Systems
• Electrical Engineering
• +۴ مورد دیگر

Özcan ÇETİNKAYA is an Assistant Professor at Keşan Vocational School , Trakya University, where he has held academic and administrative roles since 2008, including Head of the Electricity and Energy Department since 2018 and Deputy Director since 2009. Education: High School: Kırklareli Technical High School, Electrical Department (2000, School Topper) BSc: Marmara University, Electrical Education (2004) BSc: Trakya University, Faculty of Engineering, Electrical and Electronics Engineering (2020) MSc: Trakya University, Mechanical Engineering (2009) PhD: Trakya University (2017) Research Interests: Robotics, control systems, and automation technologies. His work focuses on robot arm kinematics, microcontroller applications, and environmental sensor systems. He designs cost-effective solutions for industrial automation, unmanned aerial vehicles, and embedded systems. Publication Trends: His research spans robotics (kinematic control, Sumo robots), sensor systems (temperature, humidity, water level logging), and automation (PLC programming, motor control). Recent work includes IoT-enabled data logging and unmanned aerial vehicle design. Projects: He leads the ongoing Design and Experimental Research of Unmanned Aerial Vehicles (TUBAP 2014/112) and completed Electronics Laboratory and Robot Arm Design projects. Certifications: Includes Class C Occupational Safety Specialist (2013), Siemens PLC programming courses (2009), and Schneider Electric electrical installation training (2010).

Gerard Laceyمشاهده پروفایل

استاد

• Robotics
• Real-time computer vision
• Human-machine systems
• +۳ مورد دیگر

Professor Gerard (Gerry) Lacey is Professor of Electronic Engineering at Maynooth University within the Faculty of Science and Engineering. He also serves as Head of the Department of Electronic Engineering and is affiliated with the Hamilton Institute and ALL Institute at Maynooth. Education BE in Computer Engineering – Trinity College Dublin PhD in Robotics – Trinity College Dublin MBA – University College Dublin Research Focus Professor Lacey’s research integrates robotics, real-time computer vision and human-machine systems with healthcare applications. His work spans assistive robotics for the elderly and visually impaired, augmented-reality surgical simulation, and technology-enabled infection prevention. Key themes include psychomotor learning in digital training tools, AI-driven hand-hygiene monitoring, and the design of user-centred healthcare technologies. Publication Trends Recent publications (2020-2021) concentrate on leveraging augmented reality and artificial intelligence to improve hand-hygiene compliance among healthcare workers, reflecting a translational trajectory from vision-based algorithms to large-scale hospital deployment. Earlier work (1995-2014) laid foundational contributions in mobility aids for the blind, endoscopic image enhancement, and robotic guidance systems. Awards & Recognition RESNA PVA Design Award for Robotics EU IST Award Irish Software Association Innovation Award Enterprise Ireland Technology Commercialisation Award Trinity College Innovation Award Entrepreneurship & Impact Professor Lacey has founded two university spin-outs: Haptica (2000), which created mobile healthcare robots and AR surgical simulators (acquired by CAE Healthcare in 2011), and SureWash (2010), whose hand-hygiene training systems are deployed internationally in hospitals. These ventures bridge academic research and clinical practice, securing real-world impact for his innovations. Laboratories & Collaborations He leads research activities within the Electronic Engineering Department and participates in interdisciplinary initiatives at the Hamilton Institute (systems modelling) and ALL Institute (assisted living and learning). His teams bring together engineers, healthcare professionals and industry partners to advance assistive and medical technologies.

• Corpus Linguistics
• Discourse Analysis
• Forensic Linguistics
• +۱۱ مورد دیگر

Mathew Gillings is Assistant Professor at the Institute for Language and Discourse in Business at WU Vienna University of Economics and Business. He earned his PhD in Linguistics from Lancaster University and previously served as an Associate Lecturer there. Current teaching: Qualitative and Quantitative Research Methods & Data Analysis; Applied Research Projects; Critical Perspectives on Management Communication Professional memberships: International Pragmatics Association (IPrA), International Association for Media and Communication Research (IAMCR), Research Committee for Association for Business Communication (ABC) Research Interests include: Corpus linguistics with focus on deception detection and digital discourse analysis Critical discourse analysis of climate change, business, political, and media narratives Sociopragmatics of (im)politeness across cultural and regional boundaries Methodological innovation through integration of corpus techniques with qualitative and quantitative approaches Interdisciplinary applications in humanities, social sciences, and business contexts Scientific Contributions demonstrate expertise in combining corpus methods with discourse analysis, LLMs, and forensic linguistics. His 2024 monograph Corpus Linguistic Approaches to Deception Detection established foundational work in this field. Advising & Collaboration includes mentoring through WU's in-house faculty training, academic proofreading services, and cross-sector consultancy in UK and DACH region. He actively collaborates with international scholars like Gerlinde Mautner and Jonathan Culpeper.