جست‌وجوی استاد و پژوهشگر

• Interaction Design
• Human-Computer Interaction
• Augmented Reality
• +۱۲ مورد دیگر

Jennifer Rodenhouse is an Adjunct Associate Professor and Associate Chair of the Bachelor of Science in Interaction Design at ArtCenter College of Design, where she also serves as Faculty Director of the Immersion Lab. She is additionally faculty at the Southern California Institute of Architecture (SCI-Arc), teaching graduate-level seminars on game engines and perception. Her academic work spans interaction design, immersive technologies, and critical design research. Education: B.I.D. in Industrial and Interaction Design, Syracuse University MFA in Media Design, ArtCenter College of Design Her research focuses on the intersection of design, computation, and human interaction. She explores how game engines, AR/VR, computer vision, and AI can be used as expressive and critical tools. Her work investigates the semiotics of action, playable interfaces, and how technology mediates perception and representation. Her publications in CHI and UIST reflect a strong trajectory in novel input methods and design innovation. Themes across her work include multimodal interaction, embodied computing, and the cultural implications of emerging technologies. She has led studio courses in prototyping, AR/VR, and game engine-based design, often in collaboration with industry partners like Meta, Google, and Microsoft. Scientific Awards: Jury Chair for Core77 Design Awards Fellow at Nature, Art, & Habitat Residency, Sottochiesa Italy Postgraduate Research Fellow at Media Design Practices, ArtCenter College of Design Jennifer advises students through studio courses and research projects, fostering critical and technical skills in interaction design. She has secured collaborations with major tech sponsors including Meta Reality Labs, Unity, Google, and Snap Inc. Her Immersion Lab provides cross-disciplinary access to emerging technologies and supports curriculum development in immersive design. She leads the Immersion Lab, a research and pedagogy space focused on hands-on exploration of AR/VR, computer vision, motion capture, and spatial computing. The lab partners with industry to develop relevant, experiential learning opportunities and has been featured in Core77 for its innovative integration of immersive tech into design education.

Aishah Hussainمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Virtual Reality
• Motion Capture
• +۳ مورد دیگر

Aishah Hussain is a Researcher affiliated with Aalborg University's Technical Faculty of IT and Design, specifically within the Department of Architecture, Design and Media Technology. She contributes to the Media Innovation & Game Research (Me-Ga) group in Copenhagen, focusing on applied research in real-time motion capture and virtual reality systems. Research interests: Autism Spectrum Disorder interventions via VR, adaptive storytelling, visual feedback mechanisms Key projects: ViZARTS (Visualization and Adaptive Real-Time Storytelling for Film, Animation, and Games) Collaborations: Fog, H. S. (PI), Larsen, B. A., Reng, L., Bruni, L. E., Selvig, D. R., and other interdisciplinary researchers Her work combines mixed reality technologies with behavioral studies, emphasizing real-time interaction and visualization for creative industries and therapeutic applications. Two peer-reviewed publications (2018-2019) demonstrate her contributions to VR-based social skills training and motion capture analysis. Current affiliations include campus Copenhagen (A.C. Meyers Vænge 15, B12, 2450 København SV, Denmark). Contact: aihu@create.aau.dk

Winfried Gerlingمشاهده پروفایل

استاد

• Photography theory and practice
• Digital media studies
• Intermedial design
• +۵ مورد دیگر

Professor Winfried Gerling at University of Applied Sciences Potsdam's Design Department specializes in Concept and Aesthetics of New Media. His research explores photography theory and practice, digital media environments, and intermedial design through projects like the Volkswagen Stiftung-funded research college SENSING: Zum Wissen sensibler Medien . As former Dean of the Design Department (2012-2014) and DFG Research Training Group member, he bridges academic leadership with media innovation. Education: Master of Fine Arts (Installation/Photography), Berlin University of the Arts (1994) Research: Screen image analysis, companion technologies, media forensics His publications since 2015 examine digital photography's epistemology, including Environmental Selfies (2022) and Screen-Images (2022). Current work focuses on: Post-photography screen image practices Automated visual documentation Media precarity and paradoxes Companion technology aesthetics Digital spatiality and temporality Self-documentation in crisis contexts Notable award: 1998 Europrix-Multimedia-Art nomination for Martin Luther CD-ROM . He co-founded multimedia produktionen in berlin (1996) and directed 30+ international exhibitions since 1991.

Ilka Diesterمشاهده پروفایل

استاد

• Motor Control
• Cognitive Control
• Prefrontal Cortex
• +۵ مورد دیگر

Prof. Dr. Ilka Diester is a Full Professor of Optophysiology at the Faculty of Biology, Albert-Ludwigs-University Freiburg, and Spokesperson of the BrainLinks-BrainTools Center. She serves as Managing Director of IMBIT (Intelligent Machine-Brain Interfacing Technology) and Section Spokesperson for Systems Neurobiology on the Board of the German Neuroscience Society (2025-2027). Her educational background includes a Doctorate in Neurobiology from the University of Tübingen (2003-2008) and a Diploma in Biology from Humboldt University of Berlin (1998-2003). Prior positions include Group Leader at the Ernst Strüngmann Institute (2011-2014) and Postdoc at Stanford University (2008-2011). Her research focuses on the neural basis of motor control and cognitive control , investigating interactions between prefrontal and motor cortex using electrophysiological recordings, optogenetic manipulations, and behavioral analysis. Current projects include developing optoelectronic probes, studying prefrontal flexibility in strategy choice, and examining movement decoding in rodent models. Recent publications reveal strong trends in neural decoding (2022 cross-subject decoding study), optogenetic methodology (2022 multichannel interrogation), and AI-neuroscience integration (2024 internal world models). Her work bridges basic neuroscience with applications for prosthetic devices and understanding movement disorders. Prof. Diester leads multiple DFG-funded projects including CRC 1690 on Disease Mechanisms of Sensory and Motor Systems. Her lab actively recruits PhD students for projects on prefrontal flexibility, movement decoding, and virtual reality effects on neural activity. The Optophysiology Lab maintains strong institutional connections through BrainLinks-BrainTools and IMBIT, recently developing the open-source FreiLaser system for cost-effective optogenetic experiments. The lab participates in major neuroscience symposia including the German Neuroscience Society meetings.

• Forest Engineering
• Transportation in Forestry
• Measurement Technologies
• +۱۱ مورد دیگر

Korhan Enez is a Professor in the Department of Forest Engineering at Kastamonu University, Turkey. He has held various academic and administrative roles since 2002, including Head of the Department, Board Member, and Director of Vocational Schools. His career spans institutions like Karadeniz Technical University and Kastamonu University, focusing on forest engineering and environmental science. Education: PhD in Forest Engineering, Karadeniz Technical University (2008) Master's in Forest Engineering, Gazi University (2002) BSc in Forest Engineering, Karadeniz Technical University (1997) Research Interests: Transport, measurement, and information technologies in forestry Forest fire potential mapping Pest infestation modeling Workforce ergonomics and safety Impact of forest roads on ecosystems Decomposition dynamics of logging residues Scientific Work Trends: Recent publications focus on GIS and remote sensing applications in forest fire and pest management Integration of deep learning and analytical hierarchy processes for ecological modeling Assessment of ergonomic risks in forestry operations Quantifying environmental impacts of logging and infrastructure Collaborations: Long-term partnerships with researchers like Gonca Ece Özcan, Burak Arıcak, and Temel Sarıyıldız Contributions to international projects including EU-funded FORESTVET and UN-supported Insect-IMP Advising: Mentored 7 master's and PhD students on topics like forest road impacts, fire management, and workforce satisfaction

• Wireless Communications
• Intelligent Signal Processing
• Biomedical Engineering
• +۳ مورد دیگر

Sanam MOGHADDAMNIA serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering, Turkish-German University, Turkey. He holds a BSc from Tabriz University (2002), and both MSc (2006) and PhD (2012) degrees in Electrical Engineering from Leibniz Universität Hannover, Germany. Prior to his current position, he worked as a Research Assistant and Postdoctoral Researcher at Leibniz Universität Hannover from 2006 to 2018. His educational background includes: BSc in Electrical and Electronics Engineering from Tabriz University, Iran (1997-2002) MSc in Electrical Engineering and Information Technologies from Leibniz Universität Hannover, Germany (2003-2006) PhD in Electrical Engineering and Computer Science from Leibniz Universität Hannover, Germany (2006-2012) His research spans wireless communications, telemetry, intelligent signal processing, and data analysis with significant applications in healthcare (including ECG-based diagnostics, sepsis prediction, and gait analysis), telecommunications, and industrial sectors. He demonstrates expertise in machine learning applications for biomedical signal interpretation and has contributed to both theoretical wireless communications frameworks and practical medical device assessments. Analysis of his 2016-2024 publications reveals a strategic pivot toward biomedical engineering applications while maintaining core wireless communications research. His work shows increasing focus on non-invasive medical diagnostics using physiological signals, machine learning for healthcare analytics, and precision assessment of medical devices, alongside continued contributions to MIMO systems and channel estimation techniques. Scientific Awards: None mentioned in source material. He actively manages and acquires collaborative research projects with industrial partners across healthcare and telecommunications sectors. No student advisement details are provided in the available documentation. His research involves interdisciplinary collaboration with industrial partners but no specific laboratory or team names are documented in the source material.

• Stochastic Analysis
• Mathematical Finance
• Financial Mathematics
• +۴ مورد دیگر

Dörte Kreher is an Assistant Professor (Junior Professor) for Applied Stochastic Analysis at the Institute of Mathematics, Humboldt University of Berlin, within the Faculty of Mathematics and Natural Sciences. She has held this position since August 2017 and maintains an active research program in stochastic analysis and mathematical finance, with significant contributions to energy market modeling and market microstructure theory. Her educational background includes: Dr. sc. nat. in Mathematics (University of Zurich, 2014) Diplom in Mathematics (Humboldt University of Berlin, 2009) B.Sc. in Economics (Humboldt University of Berlin, 2009) Professor Kreher's research centers on stochastic modeling of financial and energy markets, with expertise in limit order book dynamics, rough volatility, and stochastic partial differential equations. Her work bridges theoretical stochastic analysis with practical applications in electricity markets and high-frequency trading, developing novel diffusion approximations and second-order models that capture complex market behaviors. She investigates phenomena such as asset price bubbles, non-negative martingale solutions, and cross-border transmission constraints in energy systems. Her recent publications reveal a strong trajectory in applying advanced stochastic methods to real-world market problems, with increasing focus on electricity market modeling and rough volatility foundations. The research demonstrates sophisticated mathematical techniques applied to intraday price dynamics, market microstructure, and optimal control for energy storage systems, reflecting both theoretical depth and practical relevance. She actively supervises PhD students and secures competitive research funding through multiple collaborative projects: MATH+ Project AA4-4: Stochastic modeling of intraday electricity markets (with Markus Reiß) MATH+ Project AA4-9: Volatile Electricity Markets and Battery Storage (with Christian Bayer and Manuel Landstorfer) Berlin-Oxford IRTG 2544: Stochastic Analysis in Interaction SFB/TRR 388 Project B02: Microstructural Foundations of Rough Volatility Models (with Christian Bayer and Ulrich Horst) As a core member of the Applied Stochastic Analysis group, she contributes to Berlin's vibrant quantitative finance ecosystem through teaching, workshop organization (including multiple Junior Female Researchers in Probability workshops), and collaboration with the Berlin Mathematical School and MATH+ cluster.

Matthew Allenمشاهده پروفایل

استاد

• Musculoskeletal research
• Musculoskeletal Cancer
• Bone regeneration
• +۷ مورد دیگر

Professor Matthew Allen serves as Professor of Small Animal Surgery within the Department of Veterinary Medicine at the University of Cambridge, part of the School of Biological Sciences. His research focuses on preclinical and clinical aspects of the musculoskeletal system with particular emphasis on surgical applications. Professor Allen's research program spans five major interconnected themes: Musculoskeletal Cancer - investigating pathophysiology of primary and metastatic bone cancers, with special focus on pediatric bone cancers (osteosarcoma, rhabdomyosarcoma, Ewing's sarcoma) and effects of cancer treatments on skeletal health Bone Regeneration and Implant Fixation - studying long-term success of total joint replacement and percutaneous skeletal fixation Musculoskeletal Biomechanics - utilizing advanced facilities including reference point indentation, force plate analysis, and 3D motion capture Orthopaedic Infection - developing new methods for preventing and treating implant-related infections, particularly those involving multi-drug resistant organisms Comparative Clinical Research - leveraging veterinary clinical trials to accelerate drug and device validation for both human and animal patients His laboratory maintains significant capabilities in both small and large animal models, with particular expertise in rodent models for cancer research and advanced biomechanical testing. The department recently acquired a robotic joint simulator for 6DOF testing of elbow and knee joints. Professor Allen is available for consultancy work related to his research specialties and maintains active collaborations across veterinary and human medical research fields.

Farwa Aliمشاهده پروفایل

دانشیار

• Progressive Supranuclear Palsy
• Parkinson's Disease
• Movement Disorders
• +۶ مورد دیگر

Farwa Ali, M.B.B.S., serves as a Consultant in the Section of Movement Disorders within the Department of Neurology at Mayo Clinic's Rochester campus. She holds the academic rank of Associate Professor of Neurology through the Mayo Clinic College of Medicine. Her clinical expertise centers on movement disorders including Parkinson's disease, tremor, dystonia, and atypical parkinsonian syndromes with particular focus on progressive supranuclear palsy (PSP). Dr. Ali's research program investigates PSP through multiple complementary approaches: advanced neuroimaging (tau-PET, amyloid-PET, FDG-PET, quantitative susceptibility mapping), detailed gait and motion analysis, speech and swallowing evaluations, and oculomotor studies. Her work examines disease heterogeneity across PSP variants, longitudinal progression patterns, and the relationship between clinical manifestations and underlying neuropathology. Current research emphasizes identifying imaging biomarkers for early diagnosis and developing quantitative methods to track disease progression. Analysis of her recent publications reveals a strong focus on multimodal imaging techniques to differentiate PSP variants, validate diagnostic criteria, and understand pathophysiological mechanisms. Her work increasingly incorporates machine learning approaches to neuroimaging data and emphasizes quantitative gait analysis as both a diagnostic tool and outcome measure. The research demonstrates consistent collaboration with Mayo's neuroimaging, neuropathology, and movement disorders teams. Jon Stolk Award in Movement Disorders for Young Investigators (2023) AAN A.B Baker Award in Neurologic Education (2020) Teacher of the Year, Neurology Residency Program (2019) Teacher of the Year, Mayo Clinic Rochester (2019) Adult Neurology Residency Chief Resident Award (2017) Dr. Ali actively contributes to clinical education as evidenced by multiple teaching awards and serves on the Executive Steering Committee of the CurePSP Foundation. Her research program receives support through Mayo Clinic's infrastructure and collaborates with national consortia studying neurodegenerative disorders. She participates in multidisciplinary clinics for complex movement disorder cases and contributes to consensus statements on PSP management.

• Human Movement
• Biomechanics
• Pain Management
• +۳ مورد دیگر

Professor Suzanne Snodgrass is the Head of Discipline - Physiotherapy at the University of Newcastle's School of Health Sciences. She leads the Biomechanics and Exercise Testing Laboratory and focuses on movement control, aging, and injury rehabilitation. Academic Role: Professor Key Affiliations: University of Newcastle, Australian College of Physiotherapists (FACP) Research Interests include: Age-related balance decline and fall prevention in adults under 65 Neck pain mechanisms and muscle biomarkers Sports injury risk factors (hamstring, ankle, groin) Concussion management in rugby and basketball Multidisciplinary approaches combining neuroscience, biomechanics, and physiotherapy Key Article Trends demonstrate her work spans: Balance & Cognition (fNIRS, MRI studies) Muscle Morphology (fat infiltrate, volume analysis) Postural Kinematics (computer use, chronic neck pain) Sports Biomechanics (NBA collaborations, movement variability) Clinical Translation (manual therapy efficacy, dry needling studies) Scientific Recognition : 2022: Vice-Chancellor’s Award for Research Supervision Excellence 2022: College of Health, Medicine & Wellbeing Mid-Career Researcher Award 2018: Equal Futures Alumni Award (HMRI) 2013: Faculty of Health Research Excellence Award (Early Career) Education & Mentorship : Supervised 24 PhD students (16 completed), mentored high school girls in biomechanics, and developed clinical prediction rules for physiotherapy education. Her work bridges clinical practice and research, with studies directly influencing professional development programs.

Sarah Blytonمشاهده پروفایل

مدرس

• Biomechanics
• Injury Prevention
• Motor Control
• +۳ مورد دیگر

Dr. Sarah Blyton is a Lecturer at the School of Biomedical Sciences and Pharmacy , University of Newcastle. As a physiotherapist and researcher, her work focuses on movement science and musculoskeletal physiotherapy , integrating biomechanics , motor control , and injury prevention . Qualifications: PhD in Exercise and Sport Science (University of Newcastle), Bachelor of Physiotherapy (Honours) (University of Newcastle) Current roles: Lecturer, research investigator, and co-supervisor in physiotherapy programs Research Interests center on biomechanical analysis of movement patterns in athletes post-injury, chronic neck pain, and age-related postural stability. Her work employs motion-capture technology, gait analysis, and subject-specific musculoskeletal modeling to study hamstring injuries , hip/groin pain , and neurological rehabilitation . Publications span 2023–2016 , covering sports biomechanics , musculoskeletal modeling , and chronic pain kinematics . Key trends include nonlinear dynamics in injured athletes, systematic reviews of gait variability, and dual-task postural stability in aging. Scientific Awards 2018 Best presentation – clinician category, Australian Physiotherapy Association Grants include $42,802 in funding from 2022–2023 for projects like Neural mechanisms underpinning cognitive load on balance and Rehabilitation technology implementation .

• Machine Learning
• Data Analysis
• Predictive Modeling
• +۴ مورد دیگر

Rikard König is an Associate Professor at the University of Borås, Faculty of Librarianship, Information, Education and IT, Department of Information Technology. His research focuses on finding stories and connections hidden in large datasets, with specialization in machine learning, data analysis, and predictive modeling techniques. Dr. König's research interests include: Machine Learning and Predictive Analysis Genetic Programming and Rule Extraction Data Stream Mining and Real-time Analytics Sports Analytics, particularly Golf Swing Analysis Retail Analytics and Customer Understanding Model Interpretability and Constraint-based Learning His work demonstrates a consistent theme of developing machine learning tools that balance accuracy with interpretability while incorporating domain-specific constraints. His publications reveal a diverse application portfolio including golf swing analysis using radar data, fuel consumption modeling in trucks, and sales forecasting in the apparel industry. This cross-domain applicability highlights the generalizability of his research approaches. Dr. König has led and participated in several significant research projects including Big Data Analytics by Online Ensemble Learning (BOEL) and Golf data analysis (GOATS), funded by the Knowledge Foundation. His work often involves collaboration with industry partners, particularly in the automotive and sports technology sectors. His research methodology emphasizes creating models that adhere to domain expert constraints while maintaining predictive performance, as demonstrated in his 2015 paper on regression trees with variable restrictions that was validated in both golf instruction and truck fuel consumption contexts.

Sheila Flanaganمشاهده پروفایل

مدرس

• Auditory Neuroscience
• Developmental Dyslexia
• Speech Processing
• +۳ مورد دیگر

Dr. Sheila Flanagan is an academic researcher affiliated with the Department of Psychology at the University of Cambridge and a Research Associate at the Centre for Neuroscience in Education since 2012. She serves as Director of Studies in Psychological and Behavioural Sciences and Bye-Fellow of Selwyn College. Ph.D. in Experimental Psychology (University of Cambridge) MSc in Music Technology (University of York) Background in psychoacoustics from engineering experience Her research focuses on auditory neuroscience, developmental dyslexia, and speech processing through neural entrainment. Key projects include the Botnar project (assisted listening tech for dyslexia), BabyRhythm project (auditory rhythm processing in infants), and studies of temporal sampling theory in speech encoding. Her work combines EEG analysis, motion capture, and computational modeling across neurotypical and atypical populations. Recent publications highlight trends in decoding speech from neural data, binaural temporal fine structure sensitivity, amplitude rise time processing, and cross-sectional studies of language development in Spanish-speaking contexts. She examines how cortical oscillations track speech rhythms across different modalities (acoustic/visual) and developmental stages. She collaborates with researchers such as Usha Goswami (PI of lab group), Kanad Mandke , and Áine Ní Choisdealbha . Her methodological expertise includes auditory perception studies, speech enhancement algorithms, and longitudinal neuroimaging.

Saed Amerمشاهده پروفایل

مدرس ارشد

• Health, Safety, and Environment (HSE) Engineering
• Human Factors and Ergonomics
• Industry 4.0
• +۵ مورد دیگر

Dr. Saed Amer serves as a Senior Lecturer in the Department of Industrial and Systems Engineering at Khalifa University, where he leads research in Health, Safety, and Environment (HSE) Engineering and Human Factors integration within Industry 4.0 frameworks. Education: Ph.D. in Computer and Information Systems Engineering, Tennessee State University (2012) Master of Engineering in Mechanical Engineering, Tennessee State University (2007) Research Focus: Dr. Amer specializes in empirical HSE monitoring systems using machine vision for Safety 4.0 applications, with pioneering work in seat comfort analysis through CAD/Finite Element modeling and motion capture validation. His research extends to Logistics 4.0 challenges in e-commerce, sustainability engineering education, autonomous UXO remediation, renewable energy simulation, and fire safety analysis of aluminum composite panels in high-rise construction. He actively bridges human factors with digital transformation in industrial systems. Academic Leadership: Dr. Amer mentors five Master's students in Engineering Systems and Management while teaching core courses including Ergonomics and Human Factors Engineering (CHEM660), Industrial Hygiene Engineering (WENV602), and QHSE Program Management (SCIN610), establishing himself as a key contributor to engineering safety education and Industry 4.0 integration.

• Biomechanics
• Biomedical Signal Processing
• Gait Analysis
• +۷ مورد دیگر

Marco Caruso is a Assistant Professor at the Department of Electronics and Telecommunications (DET) , College of Biomedical Engineering , Politecnico di Torino . He is a member of the PolitoBIOMed Lab - Biomedical Engineering Lab and focuses on clinical studies and human motion analysis. Research Interests: Biomechanics, Sensor Fusion, Gait Analysis, Digital Medicine, Medical Signal Processing, Wearable Technology Teaching Roles: Course Owner for Design of Programmable Biomedical Devices , Collaborator for Biomedical Signal Processing and Biomedical Instrumentation and Safety courses (2019/2020–2025/2026) Supervised PhD Student: Paolo Tasca ( Bioengineering and Medical-Surgical Sciences , 39th cycle, 2023–ongoing) Patents: System for measuring resistance to passive movement in subjects with muscular disorders (National/International Patent) His recent publications focus on IMU-based motion analysis, telerehabilitation systems, and sensor fusion techniques for digital health applications. Key methodologies include Kalman filters, complementary filters, and machine learning algorithms applied to post-stroke recovery and elderly mobility assessment.