جست‌وجوی استاد و پژوهشگر

Nadia Lahrichiمشاهده پروفایل

استاد

• Operational Research
• Healthcare Analytics
• Logistics
• +۴ مورد دیگر

Nadia Lahrichi is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal, where she holds a Tier 1 Canada Research Chair in Healthcare Analytics and Logistics (HANALOG). She serves as Deputy Director at CIRRELT and is an active member of multiple research centers including IVADO (Institute for Data Valorization) and the Interuniversity Research Center on Enterprise Networks, Logistics and Transport. Her research focuses on applying operational research and mathematical modeling techniques to healthcare systems, with particular emphasis on patient flow optimization, resource allocation, scheduling, and logistics. She has developed innovative approaches that integrate machine learning with traditional optimization methods to address complex healthcare challenges. Her work spans multiple healthcare domains including radiology, chemotherapy scheduling, emergency department operations, and pandemic response systems. Professor Lahrichi's publications demonstrate consistent growth in applying advanced analytics to healthcare problems, with recent work focusing on pandemic response systems (particularly related to COVID-19 testing in Nepal), integration of machine learning with optimization techniques, and resilience planning for healthcare systems. Her research bridges theoretical operations research with practical healthcare applications, resulting in tangible improvements to healthcare delivery systems. Tier 1 Canada Research Chair in Healthcare Analytics and Logistics (HANALOG) Deputy Director at CIRRELT Member of CIRRELT (Interuniversity Research Center on Enterprise Networks, Logistics and Transport) Member of IVADO (Institute for Data Valorization) Professor Lahrichi has supervised an impressive number of graduate students throughout her career, including 5 PhD students and 34 Master's students, demonstrating her commitment to training the next generation of researchers in healthcare analytics. Her research has been supported by significant grants that have enabled large-scale projects addressing critical healthcare system challenges. She collaborates extensively with healthcare institutions to ensure her research has direct practical applications and impacts real-world healthcare delivery systems.

• Human-Computer Interaction
• Usability Engineering
• Serious Games
• +۵ مورد دیگر

Peter Judmaier is a Professor and Deputy Academic Director of Media Technology (BA) at the Department of Media and Digital Technologies, Institute of Creative/Media/Technologies at Fachhochschule St. Pölten. He teaches across multiple programs including Media Technology (BA), Digital Media Technologies (MA), Digital Healthcare (MA), Creative Computing (BA), Smart Engineering (BA), Digital Design (MA), Interactive Technologies (MA), and Digital Media Production (MA). Dr. Judmaier's research focuses on Human-Computer Interaction, Usability Engineering, Serious Games, Media Technology, Digital Media, and User Experience Design. His work spans diverse applications from air traffic control systems to social inclusion platforms for elderly populations. He has extensive experience in developing and evaluating interactive systems, with particular expertise in gamification, accessibility, and user-centered design approaches. His recent publications demonstrate a strong trend toward AI applications, assistive technologies, and sustainable mobility solutions. He has been particularly active in developing platforms for air traffic control visualization, digital tools for social inclusion, and gamified approaches to waste management and sustainable behavior, showing consistent innovation in applying interactive technologies to solve real-world problems across multiple domains. Dr. Judmaier has led numerous research projects including DIHOST 2.0, Tovies, FairMedia, KüKeN, LAMORE, comfort:zone, BündelHeinz, IoT4LAC, LEWELJU, CLUE, CargoRiders series, TailoredMedia, Homeless, Smart Companion, and BRELOMATE, addressing contemporary challenges in digital media and technology. He has supervised student projects through initiatives like BRELOMATE (a platform against social isolation for elderly people), Smart Companion (an AI assistant for autonomous living), and various empowerment games. His research has been supported by grants focusing on innovative digital solutions for societal challenges, particularly in the areas of sustainable mobility, healthcare, and social inclusion. Dr. Judmaier leads research in interactive media technologies, with laboratory work focusing on virtual reality, augmented reality, multi-touch interfaces, and practical applications of emerging technologies for real-world problems across transportation, healthcare, and environmental domains.

Sabrina Brigadoiمشاهده پروفایل

استادیار

• functional near-infrared spectroscopy
• visual short-term memory
• cognitive neuroscience
• +۳ مورد دیگر

Sabrina Brigadoi is an Assistant Professor at the University of Padua, Italy, specializing in cognitive neuroscience and neuroimaging methodologies. Her research centers on functional near-infrared spectroscopy (fNIRS) and visual short-term memory , investigating neural mechanisms of attention, working memory, and visual search. She pioneers methodological advancements including motion correction algorithms, optimal source-detector configurations, and neonatal cap design for fNIRS applications. Her work bridges technical innovation with cognitive theory to enhance non-invasive brain imaging capabilities. Recent publications (2021-2025) reveal expanding applications in smartphone-based sensor registration , PTSD biomarker discovery , and infant neurodevelopment . Her research trajectory demonstrates progression from foundational fNIRS methodology to translational studies in clinical and developmental contexts, maintaining strong emphasis on visual cognition while diversifying into psychiatric and pediatric neuroscience.

• Laser Spectroscopy
• Molecular Spectroscopy
• Metrology
• +۷ مورد دیگر

Christophe Daussy is an Assistant Professor (Maître de Conférences) at Université Sorbonne Paris Nord, where he conducts research in the Laboratoire de Physique des Lasers (LPL). His work spans precision metrology, molecular spectroscopy, and physics education, with significant contributions to the redefinition of the International System of Units, particularly regarding the Boltzmann constant and thermodynamic temperature measurements. He maintains strong connections with the Laboratoire commun de métrologie LNE-CNAM and Systèmes de Référence Temps Espace. Daussy's research focuses on high-precision laser spectroscopy, particularly for fundamental constant determinations and metrological applications. His work on the Boltzmann constant has been instrumental in the redefinition of the kelvin, and he has made significant contributions to quantum cascade laser stabilization, optical frequency dissemination, and the search for parity violation effects in chiral molecules. More recently, he has expanded his interests to include physics education research, particularly the integration of metrological concepts in biology education. His publication record shows consistent high-impact research since the early 2000s, with recent work spanning both fundamental metrology (Boltzmann constant measurements, quantum cascade laser stabilization) and science education (metrological concepts in biology courses). His work appears in prestigious journals including Physical Review Letters, Metrologia, and Nature Photonics. Daussy has also been active in developing educational tools like the LightBox kit for optics education. Daussy leads research within the Metrology, Molecules and Fundamental Tests group at LPL, focusing on precision molecular spectroscopy for fundamental physics tests and metrological applications. His laboratory work combines advanced laser techniques with precision measurement methodologies to address fundamental questions in physics while maintaining practical applications in metrology.

Alice Towlerمشاهده پروفایل

مدرس پاره‌وقت

• Forensic Psychology
• Face Identification
• Cognitive Science
• +۳ مورد دیگر

Dr. Alice Towler is a Casual Academic at the School of Psychology within the University of New South Wales (UNSW). Her research focuses on improving face identification accuracy and efficiency in forensic settings, including the study of super-recognition abilities, development of evidence-based facial comparison methods, and optimization of human-software collaboration in identity verification. Her primary research interests include: Forensic face identification techniques and error reduction Predictors of superior face recognition ability (super-recognition) Development of evidence-based training protocols for facial image comparison Integration of human expertise with facial recognition software systems Identity fraud detection in critical applications like passport verification Dr. Towler collaborates extensively with the UNSW Forensic Psychology Lab under Dr. David White and Prof. Richard Kemp. She maintains an active partnership with the Australian Passport Office to enhance identity fraud detection capabilities. As a member of the Evidence-Based Forensics Initiative, she advocates for scientifically validated practices in forensic sciences through interdisciplinary collaboration between legal professionals, forensic scientists, and cognitive researchers. Her recent publications demonstrate consistent focus on face recognition mechanisms, perceptual expertise development, and forensic applications. Research themes include optimization of training protocols, individual differences in recognition abilities, validation of forensic methodologies, and real-world implementation challenges.

• Particle Physics
• Supersymmetry
• Higgs Boson Research
• +۳ مورد دیگر

Professor Dan Tovey is affiliated with the School of Mathematical and Physical Sciences at the University of Sheffield. His research focuses on Supersymmetry searches , Dark Matter , and ATLAS detector upgrades at the Large Hadron Collider (LHC). Role: Professor of Particle Physics Institution: University of Sheffield Research: ATLAS experiment, Higgs boson properties, detector performance Research Interests Dan Tovey leads studies on supersymmetry and dark matter using the ATLAS detector. His work spans Higgs boson decays , top quark interactions , and detector upgrades for the High-Luminosity LHC. He investigates non-standard model phenomena like long-lived particles and exotic Higgs decays . Publications (2023–2025) Recent articles highlight his contributions to Higgs boson mass measurements , top quark production , and ATLAS trigger system optimizations . Key trends include searches for new physics , precision electroweak tests , and detector simulations . Scientific Awards ERC Advanced Grant No. 694202 for 'LHCDMTOP: Novel Dark Matter Searches with Top Quarks'

Dongkuan Xuمشاهده پروفایل

استادیار

• Machine Learning
• Natural Language Processing
• Computer Vision
• +۷ مورد دیگر

Dongkuan Xu is an Assistant Professor in the Department of Computer Science at North Carolina State University, leading the Generative Intelligent Computing (GIC) Lab. His research spans Artificial Intelligence , focusing on scalable, efficient, and reliable AI systems for large language models, diffusion models, and generative frameworks. Education Ph.D. in Computer Science, Pennsylvania State University (2022) M.S. in Optimization and Data Mining, University of Chinese Academy of Sciences (2017) B.E. in Information Management and System, Renmin University of China (2014) His research explores test-time adaptation, computational efficiency, and trustworthy AI through uncertainty-aware learning and robust generalization. Applications include Education , Robotics , Agriculture , Networking , and Healthcare . Recent work emphasizes hardware-algorithm co-design and domain-specific AI platforms like Synthora and Gentopia. His publications from 2024–2025 highlight advancements in Vision Transformers , Diffusion Models , Edge Computing , and Trustworthy AI , with grants from NVIDIA , Microsoft , and the National Science Foundation . Awards include the AAAI Best Demonstration Award (2025), NVIDIA Academic Grant (2025), and the Carla Savage Award (2024). He actively mentors undergraduate researchers and co-chairs workshops at top venues like DAC , CVPR , and KDD , aiming to democratize AI access and enhance its reliability across real-world domains.

• Data Science Systems
• Machine Learning Systems
• Database Systems
• +۷ مورد دیگر

Yongjoo Park is an Assistant Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign, affiliated with the Siebel School of Computing and Data Science and the Data and Information Systems (DAIS) Research Lab. He co-founded and serves as Chief Scientist at Keebo, Inc., a startup developing automated data warehouse optimization platforms. Ph.D. in Computer Science and Engineering, University of Michigan, Ann Arbor (2017) M.S. in Computer Science, University of Michigan, Ann Arbor (2013) B.S. in Electrical Engineering, Seoul National University (2009) His research focuses on building intelligent data-intensive systems that integrate statistical and AI techniques for improved reliability, scalability, and usability in data science workflows. Key projects include Kishu (undoable Jupyter notebooks), AirIndex (automated index optimization), and CARE (causal-reasoning data systems). His work bridges database systems and machine learning, emphasizing end-to-end optimization for structured/unstructured data processing. Recent publications highlight trends in computational notebook checkpointing, index tuning through data-aware storage, and AI-driven database learning. His projects have been recognized at top venues including SIGMOD, VLDB, and CHI, with a focus on practical implementations for real-world data challenges. Scientific Awards: NSF CAREER Award (2025) Best Demo Award at SIGMOD 2025 ACM SIGMOD Jim Gray Dissertation Award Runner-up (2018) Engineering Council Outstanding Advising Award (2021) Teaching Excellence Awards (2023, 2024) Yongjoo advises multiple PhD and MS students, including Supawit Chockchowwat (joining CMKL University in Thailand) and Nikhil Sheoran (now at Databricks). His research group maintains strong industry collaborations and open-sources systems like Kishu and VerdictDB through their GitHub organization .

Henri Gavinمشاهده پروفایل

استاد

• Earthquake Engineering
• Structural Control
• Vibration Isolation
• +۵ مورد دیگر

Henri Gavin is a Professor in the Department of Civil and Environmental Engineering. His research focuses on developing innovative solutions for structural resilience, control systems, and earthquake engineering. He leads interdisciplinary projects integrating sensor technology, IoT systems, and machine learning for real-world applications such as earthquake early warning systems. Research Interests: Professor Gavin's work spans earthquake engineering, structural dynamics, vibration isolation, robotics, optimization, and machine learning applications in civil infrastructure. His signature project—Pilot Earthquake Early Warning in Kathmandu (Data+, 2022)—demonstrates his approach to combining AI models with geophone sensors and IoT networks for on-site seismic alerts. Publication Trends: His recent articles (2020-2024) emphasize structural reliability, decentralized control of robotic systems (UAVs/swarms), optimization algorithms, and seismic protection strategies. This reflects a consistent focus on theoretical rigor applied to practical engineering challenges, particularly in nonlinear dynamics and multi-agent coordination. Projects and Advising: He mentors students through Duke's Data+ program, guiding projects in energy data analytics and earthquake early warning systems. Notable funded initiatives include instrumentation and modeling of seismic isolation systems (EAGER, 2012) and performance analysis of base-isolated structures during seismic events.

Benjamin Van Durmeمشاهده پروفایل

دانشیار

• Natural Language Processing
• Computational Semantics
• Streaming Algorithms
• +۱۰ مورد دیگر

Benjamin Van Durme is an Associate Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering, with secondary appointments as Senior Research Scientist at the Human Language Technology Center of Excellence (HLTCOE) and affiliation with the Center for Language and Speech Processing (CLSP). He leads Natural Language Understanding research at HLTCOE and serves as research lead at Microsoft Semantic Machines. His educational background includes B.S. and B.A. (2001), M.S. in Language Technologies (2004), M.S. in Computer Science (2006), and Ph.D. (2009), all from the University of Rochester. Van Durme's research spans multiple facets of artificial intelligence with primary focus on natural language processing, computational semantics, and information seeking systems. His work addresses fundamental challenges in machine learning, reasoning agents, multimodal understanding, factuality, and legal reasoning. Current projects include Decomp.io for decompositional semantics, IterX for structured information extraction, Nellie and Treewise for neuro-symbolic reasoning, and MultiVENT for event detection in videos. Analysis of his recent publications reveals a strong emphasis on improving large language models through context compression, safety alignment, and multilingual capabilities. His work bridges theoretical advances in NLP with practical applications in legal reasoning, scientific communication, and information retrieval systems. Van Durme actively collaborates across multiple institutions and leads research efforts that address critical challenges in AI safety, factuality verification, and efficient reasoning systems. His lab produces work that spans from foundational ML methods to cognitive science applications, with particular attention to creating models that can extract structured information, make logical inferences, and handle uncertainty in multilingual contexts.

Andrea Cramptonمشاهده پروفایل

مدرس ارشد

• Health Literacy
• Science Education
• Sustainability
• +۶ مورد دیگر

Andrea Crampton is a Senior Lecturer in the School of Dentistry and Medical Sciences at Charles Sturt University (CSU), specializing in Medical Science and Pathology. With a career spanning laboratory management, sub-dean roles in two faculties, and international research experience, she integrates her multidisciplinary background into science education and public health literacy initiatives. B.Sc. (First Class Honours), Parasitology, University of Queensland (1994) Ph.D., Microbiology and Parasitology, University of Queensland (1999) Her research focuses on enhancing public capacity to engage critically with health and environmental information, particularly in rural communities. This includes studies on: Water quality and pollution risks Plastic consumption behaviors Health literacy for smoke exposure Technology-driven teaching innovations Distance education engagement strategies Sustainability policy implementation Her teaching philosophy emphasizes adaptable, student-centered methodologies informed by her research background. She has explored: Online learning environments Technology integration in microbiology Student anxiety and motivation factors Distributed leadership models (via SaMnet network)

• Neonatology
• Ophthalmology
• Clinical neurology
• +۵ مورد دیگر

Dr. Melanie Boileau is a Professor in Veterinary Clinical Sciences at Oklahoma State University's College of Veterinary Medicine. She holds the McCasland Foundation Chair of the Clinical Professorship and serves as a Food Animal Clinician at the Veterinary Medical Hospital. Originally from Québec, Canada, she earned her DVM from Montreal University in 2000 and completed a residency and MS in Veterinary Biomedical Sciences at Oklahoma State University. DVM, Montreal University (1996-2000) MS, Veterinary Biomedical Sciences, Oklahoma State University (2002-2004) Residency in Large Animal Internal Medicine with emphasis in Food Animal Diplomate, American College of Veterinary Internal Medicine (2004-present) Licensed in Oklahoma (2005-present) and Québec (2017-2018) Dr. Boileau's research focuses on neonatology, ophthalmology, clinical neurology, and small ruminants and camelid medicine. Her work bridges clinical practice and scientific investigation, with particular emphasis on practical applications for food animal practitioners. She has made significant contributions to understanding pregnancy toxemia in goats, lidocaine therapy for gastrointestinal issues in ruminants, and innovative surgical techniques for small ruminants. Her recent publications demonstrate a consistent focus on practical veterinary medicine for food animals, particularly goats and cattle. The research spans diagnostic methods, therapeutic interventions, surgical techniques, and disease management. Her work on Bdellovibrio bacteriovorus represents innovative approaches to antimicrobial alternatives, while her clinical studies on pregnancy toxemia and sinusitis provide valuable insights for practicing veterinarians. 2021 Large animal faculty leadership award 2020 Outstanding Class Teaching Award 2019 Outstanding Class Teaching Award Oklahoma State University Regent's Distinguished Teaching Award (2018) Dr. Boileau has secured multiple research grants from Nova Biomedical, Oklahoma State University Research Advisory Committee, and Oklahoma University COBRE grant programs. Her grant-funded work has focused on point-of-care diagnostics, pregnancy toxemia in goats, and non-antimicrobial treatments for cattle infections. She actively serves on various committees including the Dermatology Faculty Search Committee, Hospital Administrator Search Committee, and CVM Reappointment Promotion and Tenure Committee. Her outreach activities include Alpaca dystocia wet labs and Food Animal Case Discussions. Within the Veterinary Medical Hospital's Large Animal/ Food Animal section, Dr. Boileau contributes to clinical services while mentoring students in food animal medicine. Her work connects academic research with practical herd health management for Oklahoma's agricultural community.

• Zoological Medicine
• Avian Medicine
• Exotic Animal Medicine
• +۳ مورد دیگر

João Lemos Brandão is a Professor in Veterinary Clinical Sciences at Oklahoma State University, holding the Debbie and Wayne Bell Professorship. He specializes in Zoological Medicine with a focus on avian and exotic animal medicine. His expertise spans clinical care, research, and education for non-traditional species including birds, reptiles, and small mammals across the College of Veterinary Medicine. His educational background includes: Licenciado em Medicina Veterinária (Licensed in Veterinary Medicine) from Universidade de Tras-os-Montes e Alto Douro, Portugal (2008) Master of Science in Veterinary Medicine from Louisiana State University, Baton Rouge, Louisiana, United States (2014) Dr. Brandão is a Diplomate of the European College of Zoological Medicine (Avian) and an EBVS® Diplomate of the American College of Zoological Medicine. His postgraduate training includes a Zoological Medicine Residency at Louisiana State University (2011-2014) and internships at University of Georgia, Tufts University, and Great Western Referrals in the UK. His research interests focus on comparative medicine across diverse exotic species. He investigates gastrointestinal physiology, anesthesia protocols, diagnostic imaging techniques, and disease management in zoo animals and wildlife. His work bridges clinical practice with scientific research to improve veterinary care for non-traditional companion animals and wildlife species through evidence-based approaches. Analysis of his recent publications reveals a strong emphasis on translational research with practical clinical applications. His work spans diagnostic techniques, surgical interventions, pharmacological studies, and disease management across multiple species including birds, reptiles, marsupials, and small mammals. Many studies employ advanced methodologies including next-generation sequencing, specialized imaging techniques, and rigorous pharmacological testing to address clinically relevant questions in exotic animal medicine. His scientific recognition includes: Distinguished Early Career Faculty Award from Oklahoma State University (2021) 1st Place Poster Award at the 5th Exoticscon Conference (2021) Dr. Brandão serves as a mentor for graduate students through Master's Research and Thesis projects. His grant portfolio includes significant funding from organizations like Boehringer Ingelheim, Morris Animal Foundation, and the Association of Exotic Mammal Veterinarians, supporting research in exotic animal medicine, anesthesia protocols, and disease management. He has served on numerous committees including the Institutional Animal Care and Use Committee and as Chair of various search committees. His service extends to peer reviewing for multiple veterinary journals and serving as a Guest Editor for Veterinary Clinics of North America - Exotic Animal Practice.

• Fair Machine Learning
• Federated Learning
• Graph Neural Networks
• +۳ مورد دیگر

Yijun Bian is a Postdoctoral Research Fellow at the Department of Computer Science (DIKU), University of Copenhagen, specializing in machine learning research. They are affiliated with the Machine Learning section and the SCIENCE AI Centre, focusing on theoretical and applied aspects of fair machine learning, federated learning, and adversarial robustness. Their research spans multiple domains including: Fairness-aware algorithms (HL-HGAT, FairSHAP) Federated learning security Heterogeneous graph modeling Adversarial attack analysis Ensemble learning optimization Biomedical data modeling Recent publications highlight their work on fairness evaluation, topological graph attention networks, and robustness in vision-based tasks. They actively contribute to advancing trustworthy AI systems through theoretical foundations and practical implementations.

• Particle Physics
• High-Energy Physics
• Collider Physics
• +۳ مورد دیگر

Enrico Robutti is a Professor at the Department of Physics, University of Genoa (Italy), affiliated with INFN (National Institute for Nuclear Physics). He specializes in experimental particle physics, focusing on collider-based studies of fundamental particles such as the Higgs boson, top quarks, and supersymmetric particles. His work involves analyzing data from high-energy proton-proton and proton-nucleus collisions at facilities like CERN's Large Hadron Collider (LHC). He actively contributes to the CMS experiment and has published extensively on topics such as Higgs boson pair production, supersymmetry searches, and detector technologies. He teaches Particle Detector Physics (course code 114701) as part of the Master's program in Physics at the University of Genoa, emphasizing practical applications of detector systems in modern experiments. His research spans both theoretical and experimental aspects of high-energy physics, with recent emphasis on precision measurements and beyond Standard Model physics. Key contributions include studies on top quark production in proton-nucleus collisions and constraints on anomalous Higgs couplings. His detector-related work includes upgrades and operational analyses for the BaBar experiment.