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Friedrich-Alexander-Universität
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Friedrich-Alexander-Universität
Erlangen-Nürnberg
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  3. Naga Venkata Sai Jitin Jami
NJ

Naga Venkata Sai Jitin Jami (M. Sc.)

Chair of Machine Learning and Data Analytics

Doctoral candidates

Contact

  • Email: jitin.jami@fau.de

Machine Learning and Data Analytics Lab

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Friedrich-Alexander-Universität Erlangen-Nürnberg
Department Artificial Intelligence in Biomedical Engineering
Nürnberger Straße 74
91052 Erlangen
Germany
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Friedrich-Alexander-Universität
Erlangen-Nürnberg

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FAU is the most innovative university in Germany, and second across Europe. Established in 1743, it is one of the largest universities in Germany, with approximately 40,000 students, over 600 professors and around 16,000 members of staff.

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  1. Friedrich-Alexander University
  2. Faculty of Engineering
  3. Department of Artificial Intelligence in Biomedical Engineering
  • FAU
      • Faculty of Humanities, Social Sciences, and Theology
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      • Faculty of Business, Economics and Law
      • School of Law
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      • Faculty of Medicine
      • Institute of Anatomy
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      • Institute of the History of Medicine and Medical Ethics
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      • Department of Artificial Intelligence in Biomedical Engineering
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    • Cooperations
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      • Artificial Intelligence in Medicine
      • Digital Health - Gait Analytics
      • Empatho-Kinaesthetic Sensor Technology (EmpkinS)
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        • Videos
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      • Wearables
      • Activity Recognition using IMU sensors integrated in Hearing Aids
      • Adaptive AI Systems in Sport (BISS)
        • IMU-based Biomechanical Gait Analysis
        • IMU-based motion compensation in CT
        • Learning from Biomechanical Simulations
        • Virtual Footwear Design
      • Applications of Deep Learning for Signal Analysis
      • Assessment and Improvement of Mental Health
      • Automated curation of in-vivo recorded time series
      • Automated German Crossword Resolution
      • Autonomous Cranes
      • BayMED Sleep Project
      • Biofeedback Based Interaction for Manipulating Virtual Environments
      • Biologically-inspired self-supervised systems
      • Biomarkers for immunotherapy in multiple sclerosis patients
      • Biomechanical Assessment of Big Wave Surfing
      • BioPsyKit – A Python Package for the Analysis of Biopsychological Data
      • CARWatch – An Open-Source Framework for Improving Cortisol Awakening Response Sampling
      • Center for AI in Medicine
      • Connected Movement
        • Assessment of Macro Movements during Acute Psychosocial Stress
        • Assessment of Micro Movements during Acute Psychosocial Stress
        • openTSST – An open web platform for large-scale, video-based motion analysis during acute psychosocial stress
      • dAIbetes
      • DailyHeart
      • Data Mining in the U.S. National Toxicology Program (NTP) Database
        • The OnHW–chars Dataset
      • Development of Sensor System for Dry Training in Biathlon
      • Diagnostic Imaging in Virtual Reality
      • DIAMond - diabetes type 1 management with personalized recommendation using data science
      • DiGA-Incont
      • digiOnko
      • digiOnko - Mit digitaler Medizin gegen Brustkrebs
        • Physical Activity Assessment in Sports
        • Signal Analysis and Biofeedback
      • Digital Sports Hub
      • Digital Twin
      • Digital Twin for Clinical Trials
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      • Digital Vision Trainer
      • Digitalisierungskolleg - Applied Data Science in Digital Psychology
        • Algorithm Development -- SensorDataToolbox
        • Biomechanical investigation of gait phases
        • Deep Learning for Sensor-based Gait Analysis
        • Gait Analysis in Rodents
        • Mobile gait analysis for hereditary spastic paraplegia patients
        • Multimodal gait analysis of osteoarthritic gait
        • Quantifying Postural Instability in Parkinson's Disease
        • Sensor Insoles for Home-Monitoring Applications
      • Empathokinaesthetic Measurement and Movement Pattern Recognition as Biomarkers for Health Status and Prognosis of Palliative Care Patients (D05)
      • Empathokinesthetic sensors for biofeedback in depressed patients (D02)
        • Action Detection in Ball Sports
        • Activity Recognition and Event Detection in Table Tennis
        • Mobile Recording Systems
        • Modules for Telemedicine Systems
        • Sensor Hardware Development
      • FallRiskPD
      • Federated Machine Learning for Patient-Centered Electronic Health Records
        • Biomechanical Animated Skinned Human
        • Turning a Corner
      • Gait analysis in geriatrics using mobile sensor systems and machine learning
      • Holistic customer-oriented service optimization for fleet availability
      • HOOP: mHealth tOol for parkinsOn’s disease training and rehabilitation at Patient’s home
      • Individual Performance Prediction Using Musculoskeletal Modeling
      • Individual sport shoe recommendation through machine learning
      • Information management system for automated quality assessment in radiotherapy
      • InterFEARence – Contactless assessment of feared movements in persons with chronic back pain
        • Cold Face Test for Acute Psychosocial Stress Reduction
        • Evaluation of Tracking Systems
      • Machine Learning for CT-Detector Production
      • Machine Learning for Engineers II
      • Machine Learning for Neuromusculoskeletal Modelling (C03)
      • Machine Learning for Personalisation of Biomechanical Movement Simulations (C01)
      • Machine Learning For Predictive Analytics
      • Machine Learning in Health Psychology
      • Match data-based performance indicators in professional football
        • Physical Activity Assessment in Health
      • Mobile GaITLab
      • Mobilise-D
      • Mobility_APP
      • Monitoring of urban water demand for city trees
      • Motion-Tracking based digital health application for physical therapy
      • MotionLab@Home
      • MoveIT
      • Multimodal Machine Learning for Decision Support Systems
        • Salivary Markers for Water Loss Estimation during Physical Exercise
        • Sweat Analysis for Water Loss Estimation during Physical Exercise
        • Temperature-Based Bioimpedance Correction for Water Loss Estimation during Physical Exercise
        • stress+ - A web framework for the Remote Induction of Acute Psychosocial Stress
        • The Stroop Competition - A Social-Evaluative Stroop Test
      • Parkinson's disease symptom detection and prediction
      • Performance Analysis in Team Sports
      • Personalization of Muscoskeletal Models
      • Personalized running shoe recommendation using different data sources
      • Privacy-Preserving Analysis of Distributed Medical Data
      • Promoting Relaxation by Real-Time Mental State Recognition
      • RoboCup Small Size League
      • Security for Future Patient-centered Healthcare Ecosystem
      • SELFCURE: Evolutionary and cognitive processes underlying self-medication of immune-challenged bats
      • Sensor-based movement and sleep analysis in Parkinson's syndrome (D04)
      • SHIELD
      • SiTY
      • Smart Annotation using semi-supervised techniques
      • SMART Start
      • SWODDYS: Smart WOund Dressing incorporating Dye-based Sensors
      • TEAM-X
      • TEF-Health
      • TegrityHub
        • Approximation of the Gaussian RBF Kernel for Efficient Classification with SVMs
        • Classification on Embedded Systems
        • Optimal Feature Selection for Nonlinear Data using Branch-and-Bound in Kernel Space
      • Tool Tracking
      • Tracking in the Deutsche Museum Nürnberg
      • VERA (Video-based Re-Identification for Animals)
      • VR - Oculomotor Test System
      • VR Amblyopia Trainer
      • Green Belt ML@Operations
    • Current Studies
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      • Stark - ARchitecture
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