جستجوی استاد راهنمای دانشگاهی

Francesca Stradoliniمشاهده پروفایل

مدرس

• Bioelectronics
• IoT for Medical Monitoring
• Anesthesia Delivery Systems
• +۳ مورد دیگر

Francesca Stradolini is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Electrical Engineering Doctoral School (EDEE). She holds a PhD in Electrical Engineering from EPFL (2018), with prior education in Bio Engineering and Neuroscience from the University of Genoa (2012, 2015). Her current work focuses on R&D engineering for medical devices, emphasizing system lifecycle management, human factors engineering, and compliance with CE/FDA regulations. As an invited guest, she contributes to usability engineering education and interdisciplinary research at EPFL. PhD: IoT Bio-Electronic Multi-Panel Device for On-line Monitoring of Anaesthesia Delivery (EPFL, 2018) MSc: Bio Engineering (University of Genoa, 2015) BSc: Bio Engineering (University of Genoa, 2012) Her research spans bioelectronics, IoT-enabled medical monitoring, and electrochemical sensor development for clinical applications. Key areas include anesthesia delivery systems, wearable diagnostics, implantable devices, and human factors engineering. Her work integrates fluidic systems, noble metal nanostructures, and open-source hardware (e.g., Raspberry Pi) to address challenges in traceability, fouling mitigation, and pharmacokinetic modeling. Scientific recognition includes the Ville de Lausanne Award (2019) , EPFL Outstanding PhD Thesis Distinction (2018) , and a Best Paper Award at MOBIHEALTH (2016) . She has published extensively in journals like IEEE TBIOCAS, Sensors and Actuators B, and IEEE Sensors Journal, with collaborative studies on propofol monitoring, carbon nanoallotrope drug detection, and implantable sensor validation. Her technical expertise includes managing medical device development lifecycles, designing IoT architectures for intensive care, and optimizing electrochemical sensors for stability in undiluted biological fluids. She has contributed to conferences such as IEEE BioCAS, ISCAS, and MOBIHEALTH, focusing on translational studies in personalized medicine and 3D-printed medical systems.

Giuseppe Atenieseمشاهده پروفایل

استاد

• Cybersecurity
• Blockchain Technology
• Applied Cryptography
• +۴ مورد دیگر

Giuseppe Ateniese is a Professor and Eminent Scholar in Cybersecurity at George Mason University, affiliated with the Department of Computer Science and Cyber Security Engineering. Formerly, he held the Farber Endowed Chair and chaired the Department of Computer Science at Stevens Institute of Technology. His research focuses on cloud security, applied cryptography, blockchain technology, and AI-driven cybersecurity solutions. He has received prestigious awards including the NSF CAREER Award and Google/IBM Faculty Awards. AIFurther, he teaches courses on blockchains, cryptography fundamentals, and cryptofinance. His work includes pioneering contributions to rewritable blockchains, password cracking via AI (e.g., PassGAN), and secure decentralized systems. Education: PhD in Computer Science, University of Genoa (2000) Laurea (M.Sc.), University of Salerno (1995) Master of Engineering (Honoris Causa), Stevens Institute of Technology (2020) Research Interests: Ateniese’s work bridges theoretical and applied cryptography, with emphasis on blockchain scalability, privacy-preserving machine learning, and secure data storage. He has developed foundational techniques like proxy re-cryptography and accountable storage systems. His recent efforts address AI’s dual role as both a cybersecurity tool and threat vector, including AI-based password cracking and defense strategies against LLM-driven attacks. Awards: NSF CAREER Award (for privacy/security research) Google Faculty Research Award (cloud security) IBM Faculty Award IEEE CISTC Technical Recognition Award Teaching & Labs: He teaches advanced courses on blockchains (CS695), cryptography fundamentals (CYSE/ECE476), and introductory cryptography (CS487/587). His research team focuses on cryptographic protocols, decentralized systems, and AI-security intersections. Collaborations include projects with Accenture on editable blockchain prototypes and NSF-funded work on password security.

• Soft tissue mechanics
• Articular cartilage mechanics and lubrication
• Cartilage tissue engineering
• +۷ مورد دیگر

Gerard A. Ateshian is the Andrew Walz Professor of Mechanical Engineering and Professor of Biomedical Engineering at Columbia University, where he has been a faculty member since 1991. He also served as Chair of the Department of Mechanical Engineering from 2011 to 2014 and is the founding director of the Musculoskeletal Biomechanics Laboratory (MBL), established in 1996. Education: BS (1986), MS (1987), MPhil (1990), and PhD (1991) in Mechanical Engineering from Columbia University. Research Interests: Professor Ateshian's research focuses on the mechanics of soft biological tissues , particularly articular cartilage . His work integrates theoretical, experimental, and computational approaches to understand cartilage lubrication, tissue engineering, and growth and remodeling in living tissues. He has extended continuum mechanics frameworks to model complex biological phenomena such as mass transport, osmotic effects, and reactive mechanics in tissue mixtures. His recent efforts include developing open-source computational tools (FEBio) and translating research into clinical treatments for osteoarthritis . Scientific Awards: H.R. Lissner Medal, ASME (2017) OARSI Basic Science Award (2013) Columbia Engineering Alumni Association Distinguished Faculty Teaching Award (2012) Great Teacher Award, Society of Columbia Graduates (2002) YC Fung Young Investigator Award, ASME (1997) Fellow: ASME, BMES, AIMBE Advising and Mentorship: Professor Ateshian has advised numerous PhD students, including recent graduates Vince Sise and Katherine Spack , who completed their dissertations on cartilage fatigue and osteochondral allografts, respectively. His lab actively mentors students from both Mechanical and Biomedical Engineering programs. Laboratory and Collaborations: He directs the Musculoskeletal Biomechanics Laboratory (MBL) , which collaborates closely with the Cellular Engineering Laboratory of Prof. Clark Hung and with Dr. Jeffrey Weiss at the University of Utah on computational modeling (FEBio). He also collaborates with Columbia University Medical Center faculty on clinical translation of cartilage research.

• Aerospace Composites
• Damage Tolerance Analysis
• Impact Mechanics
• +۳ مورد دیگر

Dr Andrew Rhead is a Senior Lecturer in the Department of Mechanical Engineering at the University of Bath, specializing in aerospace composites and damage tolerance analysis. His research focuses on impact damage detection, failure mechanism modeling, and Non-Destructive Evaluation (NDE) techniques for composite structures. MSci in Mathematical Sciences (Dynamical Systems) - University of Bristol (2006) PhD in Composite Damage Tolerance - University of Bath (2009) His work develops computationally efficient analytical models for compression after impact (CAI) strength prediction in composite laminates, surpassing traditional finite element methods. Key projects include hydrogen storage systems for aircraft, cryogenic composite testing, and steered fiber manufacturing optimization. Active in 10 projects including ASPIRE and HyFIVE Collaborates with Airbus, GKN Aerospace, and EPSRC Research trends show emphasis on sustainable aviation materials, structural battery integration, and advanced testing methodologies. Current affiliations include the Institute for Mathematical Innovation (IMI) and Centre for Integrated Materials, Processes & Structures (IMPS).

Anthony Rollettمشاهده پروفایل

استاد

• Additive Manufacturing
• Advanced Materials Processing and Manufacturing
• Digital Twins
• +۶ مورد دیگر

Anthony Rollett is a Professor in the Department of Materials Science and Engineering at Carnegie Mellon University , where he has been a faculty member since 1995. He serves as the Principal Investigator and Co-Director of the NASA-supported Institute for Model-Based Qualification & Certification of Additive Manufacturing (IMQCAM) and co-director of the Next Manufacturing Center . Prior to CMU, he held leadership roles at Los Alamos National Laboratory (1991-1995). Education: Ph.D., Materials Engineering, Drexel University (1987) MA, Metallurgy and Materials Science, Cambridge University (1977) Research Interests: Rollett’s work focuses on microstructural evolution and microstructure-property relationships in 3D using experiments and simulations. His expertise spans additive manufacturing , metal 3D printing , materials for energy systems , grain growth , recrystallization , and stereology , with techniques like high-energy diffraction microscopy (HEDM) and dynamic x-ray radiography (DXR) . Scientific Contributions: He has over 320 peer-reviewed publications and an h-index >80 . His recent articles highlight machine learning for laser processing , fatigue analysis of additively manufactured alloys, and design optimization for heat exchangers in supercritical CO2 and solar thermal applications . Scientific Awards: Fellow of ASM International (1996) Fellow of the Institute of Physics (UK) (2004) Fellow of The Minerals, Metals & Materials Society (TMS) (2011) Cyril Stanley Smith Award (TMS, 2014) Member of Honor, French Metallurgical Society (2015) US Steel Professor (2017) Francqui International Professor (2020-2021) International FAME Award (2023) Leadership & Impact: Rollett co-led the development of a NASA Space Technology Research Institute for additive manufacturing and established a new master’s program in additive manufacturing (2018). His research group is funded by industry , federal agencies , and Pennsylvania state grants . He also serves on the Basic Energy Science Advisory Committee and Defense Programs Advisory Committee for the Department of Energy.

Eugene O'Brienمشاهده پروفایل

استاد

• Structural Engineering
• Bridge Safety Assessment
• Traffic Load Modeling
• +۲ مورد دیگر

Professor Eugene O'Brien serves as Professor of Civil Engineering within the School of Civil Engineering at University College Dublin's College of Engineering and Architecture. His research focuses on critical structural assessment methodologies for long-span bridges, with particular expertise in traffic load modeling and bridge safety evaluation. His research interests center on structural engineering challenges related to bridge infrastructure, specifically traffic load assessment for long-span bridges , structural health monitoring systems , and sustainable infrastructure management . Professor O'Brien pioneered camera-based monitoring techniques to overcome limitations of traditional Weigh-in-Motion sensors during congested traffic conditions, enabling more accurate safety assessments of aging bridge infrastructure. His work addresses the critical gap in quantifying traffic loading on bridges with spans up to 2 kilometers, where conventional methods fail during stop-and-go traffic scenarios. Analysis of his 15 most recent publications reveals a consistent research trajectory focused on probabilistic modeling of traffic loads, with increasing sophistication in handling extreme events and long-term infrastructure performance. His work spans fundamental statistical methods for load effect prediction, practical applications in real-world bridge assessments, and environmental considerations regarding infrastructure carbon footprints. The research demonstrates strong methodological evolution from basic traffic modeling to comprehensive lifetime assessment frameworks incorporating sustainability metrics. As co-founder and director of Roughan O'Donovan's subsidiary Innovative Solutions (ROD-IS), Professor O'Brien has translated research into practice through significant projects including the Malahide Railway Viaduct assessment (2009), EU-funded bridge lifespan simulation tools (2011), vibration reduction systems for bridge cables, and structural assessments for major international projects including the Ting Kau Bridge in Hong Kong, the Forth Road Bridge in Scotland, and the Chacao Channel Bridge in Chile. His consultancy work demonstrates direct application of academic research to critical infrastructure challenges worldwide. Professor O'Brien's research group operates at the intersection of structural engineering and sustainable infrastructure management, with particular emphasis on extending bridge service life through accurate safety assessment. Their work on the Chacao Channel Bridge demonstrates practical implementation of traffic monitoring systems using toll data to manage truck loads, while their environmental impact analysis shows how accurate safety assessments reduce unnecessary bridge replacements, thereby lowering the carbon footprint of transportation infrastructure through extended service life of carbon-intensive materials like concrete and steel.

• Sports Biomechanics
• Cricket Biomechanics
• Golf Biomechanics
• +۳ مورد دیگر

Dr. Rene Ferdinands is a Lecturer at the University of Sydney's School of Health Sciences, specializing in sports biomechanics, particularly in cricket and golf. He leads research programs focused on optimizing techniques and minimizing injury risks, such as lumbar load analysis in fast bowlers and spin bowling biomechanics. His work includes developing 3D models for analyzing bowling actions and spin delivery mechanics. Education: MSc and PhD from the University of Waikato. Research Themes: Cricket biomechanics, golf swing dynamics, equine biomechanics, and injury prevention. Professional Roles: Editor of the Cricket Coaching Information service for the International Society of Biomechanics in Sports, Honours Committee Member. His research interests span biomechanical analyses of sports techniques, including the development of smart cricket balls for performance assessment and injury mitigation. Key contributions include refining bowling action legality criteria and advancing understanding of lumbar kinetics in elite athletes. He actively supervises Honours and PhD students in biomechanics research across cricket, golf, and other sports. Notable grants include studies on hydration status in cricket performance (2008), lumbar injury prevention (2013), and biomechanical modeling of fast bowling (2009). His work bridges applied research with practical applications in sports technology and athlete development. Dr. Ferdinands collaborates with the Biomechanics Research Team at the University of Sydney, focusing on innovative tools like smart balls and advanced motion analysis techniques to improve sports performance and safety.

• Human-Computer Interaction
• Gender Equality in Technology
• AI and Society
• +۳ مورد دیگر

Elaine M. Huang is an Associate Professor of Human-Computer Interaction at the Department of Informatics, University of Zurich, where she has served since 2010. She also leads the People and Computing Lab, focusing on the dynamic interplay between human practices and technological advancements. Her academic background includes: PhD in Computer Science, Georgia Institute of Technology (2006) Dr. Huang's research centers on human-computer interaction, examining the bidirectional relationship between technology and human practices. She is particularly known for her work on gender equality in technology, challenging assumptions about innate gender differences and investigating how AI systems may perpetuate biases. Her research also spans sustainable interaction design, mental health technologies, and chronic disease management, always emphasizing empirical data over intuition. Analysis of her recent publications (2023-2025) reveals a strong trajectory toward socially impactful HCI, with significant focus on health technologies (diabetes management, mental health), cultural sensitivity in design, and the ethical challenges of AI. Her methodology often involves field studies to understand real-world technology use, countering the industry's reliance on intuition. As head of the People and Computing Lab, Dr. Huang oversees a research group dedicated to designing and evaluating technologies that address complex human needs. The lab's work frequently involves co-design with diverse user communities to ensure relevance and inclusivity in technological solutions.

Wenwu Xuمشاهده پروفایل

دانشیار

• Materials Science
• Nanotechnology
• Mechanical Engineering
• +۶ مورد دیگر

Dr. Wenwu Xu is an Associate Professor in the Department of Mechanical Engineering at San Diego State University (SDSU), affiliated with the College of Engineering. His research focuses on advanced materials science, nanotechnology, and computational modeling of material behavior. He specializes in investigating dislocation dynamics, electric field effects on materials, and the development of novel processing techniques for metallic and ceramic composites. His work spans topics such as hydrogen embrittlement, nanocrystalline material properties, and 3D printing of bioinspired structures. He employs molecular dynamics simulations, atomistic modeling, and experimental validation to study material deformation, sintering mechanisms, and phase stability. Xu’s contributions include pioneering quasi-instantaneous materials processing via high-intensity electrical nano-pulsing and designing recyclable piezoelectric composites for wearable sensors. His research has been published in over 40 peer-reviewed articles since 2007, reflecting a sustained focus on nanoscale material behavior, thermodynamic stability, and industrial applications. While no awards are explicitly listed, his extensive publication record underscores his expertise in materials engineering and computational methods. Dr. Xu’s lab (via mmm.sdsu.edu ) likely explores cutting-edge materials processing and characterization techniques, though specific grants or advising roles are not detailed in the provided text.

Jack Beuthمشاهده پروفایل

استاد

• Additive Manufacturing
• Manufacturing Processes
• Solid Mechanics
• +۶ مورد دیگر

Jack Beuth is a Professor of Mechanical Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He has been on the faculty since 1992 and leads the NextManufacturing Center, focusing on additive manufacturing (AM) research. His work emphasizes process mapping for AM, material science, and machine learning integration in manufacturing processes. Key affiliations include the Engineering Research Accelerator and the Manufacturing Futures Institute. Education: Ph.D. in Engineering Sciences, Harvard University (1992) M.S. in Engineering Sciences, Harvard University (1989) M.S. in Engineering Science and Mechanics, Virginia Tech (1987) B.S. in Engineering Science and Mechanics, Virginia Tech (1984) Research Interests: Additive Manufacturing (process modeling, material characterization, and defect analysis) Melt pool dynamics and thermal modeling Machine learning for process optimization and quality control Advanced materials for AM (e.g., Ti-6Al-4V, Inconel 718) His research has led to innovations like 'process map' approaches for AM, enabling better control over variables such as melt pool geometry and microstructure. Awards and Recognition: Ralph R. Teetor Educational Award (1998) George Tallman and Florence Barrett Ladd Development Professorship (2000) ASME Curriculum Innovation Award (2005) Benjamin Richard Teare Teaching Award (2009) Grants and Collaborations: $3.5M cooperative agreement with the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory (ARL) for AI-driven AM process optimization. Collaborations with Westinghouse Electric Company on 3D-printed nuclear components, such as spacer grids for pressurized water reactors. Labs and Teams: NextManufacturing Center: A research hub for AM innovation, emphasizing industrial partnerships and applied research. Beuth’s Additive Lab: Specializes in melt pool analysis, process mapping, and material behavior under AM conditions.

Rhonda Hadiمشاهده پروفایل

دانشیار

• Marketing
• Consumer Behavior
• Emerging Technologies
• +۵ مورد دیگر

Rhonda Hadi is an Associate Professor of Marketing at the Saïd Business School, University of Oxford. She is also a Fellow of Green Templeton College and an Associate Editor at the Journal of Consumer Psychology , serving on editorial review boards for Journal of Consumer Research , Journal of Marketing Research , and Journal of the Academy of Marketing Science . Her research focuses on emerging technologies reshaping consumer experiences, including augmented reality, AI, and wearable/mobile computing. She explores crossmodal perception, cultural influences on consumer behavior, and sensory-driven decision-making. Rhonda teaches the Core Marketing course for the MBA programme and contributes to Executive MBA, Diploma in AI for Business, and executive education courses. Her engagements span industry collaborations with Fortune 500 firms, startups, and non-profits, emphasizing practical applications of her research. She is a key member of the Oxford Future of Marketing Initiative , fostering academic-industry partnerships for thought leadership. Her research interests prominently feature technology-augmented consumer behavior , particularly in multisensory interactions (e.g., haptics, temperature, scent) and how cultural contexts modulate these responses. She has pioneered studies on anthropomorphic products, chatbot ethics, and the psychological impact of digital tools like AR and the Metaverse. Rhonda received the John Elliot Teaching Award and regularly engages with media outlets like the BBC to disseminate her findings. She has delivered over 50 invited talks globally, addressing North America, Asia, Africa, and Europe. In advising and grants, she mentors students across MBA and executive programmes and secures funding via Oxford’s initiatives. Her work intersects with the Major Programme Management and Private Equity Institute , though direct grant references are not explicitly detailed. She actively participates in interdisciplinary teams at Oxford Saïd, such as the Oxford Future of Finance and Technology Initiative and the Social Thermoregulation Project , integrating insights from psychology, technology, and business strategy.

Mike Kirbyمشاهده پروفایل

استاد

• Scientific Computing
• Physics-Informed Machine Learning
• Computational Science and Engineering
• +۴ مورد دیگر

Mike Kirby is a Professor at the Kahlert School of Computing, University of Utah. He also holds adjunct professorships in the Department of Bioengineering and the Department of Mathematics. His current roles include leadership in scientific computing and informatics initiatives, including former directorships of the Utah Informatics Initiative (2019-2023) and the Multi-Scale Multidisciplinary Modeling of Electronic Materials (MSME) Collaborative Research Alliance (2016-2022). He has extensive experience in strategic research initiatives, including serving as Assistant Vice President for Research (2024-2025). Education: Dr. Kirby earned a PhD in Applied Mathematics (2002) and MS in Computer Science (2001) from Brown University, and a BS in Applied Mathematics and Computer Science from Florida State University (1997). Research Interests: Focus on large-scale scientific computing, physics-informed machine learning, computational science and engineering, high-order numerical methods, and visualization. His work bridges applied mathematics and computer science to address real-world engineering challenges. Publications: Over 150 peer-reviewed articles, including high-impact contributions in journals like Journal of Computational Physics and SIAM Journal on Scientific Computing . Recent work emphasizes machine learning for differential equations, topology optimization under uncertainty, and multi-fidelity modeling. Awards: Recognized for leadership in computational science and informatics, including contributions to University of Utah’s Clery Compliance Program. Advising & Grants: Supervised over 50 graduate students and postdocs. Secured funding from NSF, DOE, and industry partnerships, totaling millions in research grants. Active in interdisciplinary collaborations across engineering, materials science, and medicine. Labs/Teams: Scientific Computing and Imaging (SCI) Institute, Utah Informatics Initiative, and the Center for Multiscale Modeling of Electronic Materials (MSME).

Robert O. Ritchieمشاهده پروفایل

استاد

• Materials Science
• Mechanical Engineering
• Fracture Mechanics
• +۷ مورد دیگر

Robert O. Ritchie is the H. T. & Jessie Chua Distinguished Professor of Engineering at the University of California, Berkeley, where he holds dual appointments as Professor of Materials Science & Engineering and Professor of Mechanical Engineering. He is also a Faculty Senior Scientist at Lawrence Berkeley National Laboratory. His distinguished career spans over four decades with significant contributions to the field of materials science and engineering. Professor Ritchie received his B.A. in Physics & Metallurgy (1969), M.A. in Materials Science (1973), Ph.D. in Materials Science (1973), and Sc.D. in Materials Science (1990), all from Cambridge University, UK. His research focuses on the mechanical behavior of advanced materials, with particular emphasis on fracture mechanics, fatigue properties, and damage tolerance. Professor Ritchie's work spans multiple domains including metallic glasses, high-entropy alloys, biomaterials, and nature-inspired structural materials. His laboratory employs cutting-edge techniques such as in situ high-temperature computed tomography to study failure mechanisms in ceramic-matrix composites and nuclear graphite. His research has significant implications for aerospace, biomedical, and energy applications. Analysis of Professor Ritchie's recent publications reveals a strong focus on advanced structural materials, particularly metallic glasses and high-entropy alloys. His work combines experimental approaches with computational modeling to understand deformation mechanisms at multiple length scales. There is a clear trend toward bioinspired materials design, with several papers examining natural structures like fish scales, horn sheaths, and bone to develop new engineering materials with exceptional mechanical properties. Member, National Academy of Sciences (2025) Foreign Fellow, Academy of Athens, Greece (2024) Robert Henry Thurston Award (ASME) (2022) ASM Gold Medal (ASM Intl.) (2021) William D. Nix Medal, inaugural winner (TMS) (2020) Fellow (Foreign Member) of the Royal Society (FRS), London, UK (2017) Morris Cohen Award (TMS) (2017) Acta Materialia Gold Medal (2014) David Turnbull Award (MRS) (2013) A. Cemel Eringen Medal (Society of Engineering Science) (2010) Professor Ritchie has advised numerous graduate students and postdoctoral researchers throughout his career. His research has been supported by various funding agencies including the Department of Energy, National Science Foundation, and industry partners such as Rolls-Royce. He has served on numerous advisory boards including the Rolls-Royce Materials & Structures Advisory Board (2011-2019) and the Scientific Advisory Board of the Advanced Light Source at LBNL (2013 to date). Professor Ritchie leads the Ritchie Group at UC Berkeley, which maintains strong collaborations with Lawrence Berkeley National Laboratory. The laboratory employs state-of-the-art techniques including electron microscopy, x-ray tomography, and mechanical testing across multiple length and time scales. His team has developed innovative in situ characterization methods that have significantly advanced the understanding of material failure mechanisms under extreme conditions.

• Materials Handling
• Logistics
• Crane Dynamics
• +۳ مورد دیگر

Dr. Michael Kleeberger is a Researcher at the Chair of Materials Handling, Material Flow, Logistics (FML) at the Technical University of Munich, based at Boltzmannstr. 15 in Garching. He collaborates closely with Prof. Johannes Fottner and maintains an active research profile in crane dynamics and mechanical systems simulation. His research specializes in Materials Handling and Logistics with emphasis on Crane Dynamics, Flexible Multibody Systems, and Control Systems. He develops advanced models for hydraulic actuated cranes, focusing on dynamic behavior during hoisting, slewing, and trajectory operations using port-Hamiltonian formulations and geometrically exact beam theory. His work bridges theoretical mechanics with industrial applications in heavy machinery. Analysis of his 15 most recent publications reveals consistent focus on numerical methods for flexible crane structures, with growing emphasis on optimal control strategies (2020-2025). Key trends include port-Hamiltonian system applications, lunar crane feasibility studies, and vibration mitigation techniques for lattice boom and knuckle boom configurations across diverse operational scenarios. As part of FML, Dr. Kleeberger contributes to TUM's leadership in logistics engineering through industry-collaborative projects and fundamental research in material flow systems, maintaining the chair's reputation for excellence in mechanical dynamics and practical engineering solutions.

Pourang Iraniمشاهده پروفایل

استاد

• Human-Computer Interaction
• Information Visualization
• Ubiquitous Computing
• +۴ مورد دیگر

Pourang Irani is a Professor and Principal’s Research Chair in Ubiquitous Analytics at the University of British Columbia (Okanagan campus), within the Irving K. Barber Faculty of Science’s Department of Computer Science, Mathematics, Physics and Statistics. Previously, he served at the University of Manitoba for 19 years as a faculty member and Acting Associate Dean of Science. His research focuses on Human-Computer Interaction (HCI), Wearable Computing, and Information Visualization, with an emphasis on designing interactive systems for 'anytime, anywhere' sensemaking using emerging technologies like mixed reality and smart devices. He leads interdisciplinary projects such as the NSERC CREATE grant on Visual and Automated Disease Analytics, training data scientists in health analytics. Education: PhD in Computer Science (University of New Brunswick, 2002), supervised by Dr. Colin Ware. Research Interests: Wearable interfaces (smartwatches, smartrings, and AR/VR) Data visualization for health and pervasive systems Persuasive health technologies and data storytelling Mid-air and hands-free interaction techniques Embodied interaction through social robots Recent Work Trends: Articles emphasize innovations in smartwatch interaction (e.g., bezel-to-bezel gestures), tactile visualizations via skin-dragging, and voice assistant-driven health data queries. Projects like Databiting explore transient personal data exploration, while Data Videos focus on narrative-driven health communication. Grants & Leadership: Principal Investigator of NSERC CREATE Visual and Automated Disease Analytics program. Co-leads UBCO’s Digital Transparency cluster. Active in interdisciplinary teams addressing health informatics and HCI challenges. Labs & Teams: Leads a lab developing prototypes in wearable computing, spatial analytics, and immersive technologies. Collaborates with researchers in medicine, engineering, and data science to translate HCI innovations into practical solutions.