RESEARCH AREAS

• Fuzzy Theoretic Approach to Machine Intelligence
• ​AI Driven Analysis of Data, Signal, and Images
• Privacy-Preserving Machine Learning
• ​Explainable Deep Learning
  
• Probability Theory and Statistics
• Robust and Adaptive Filtering
• ​Estimation Theory

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APPLICATION DOMAINS

• Automation
• Human Centric Digitalization
  
• eHealth and mHealth
• Preventive Medicine and Public Health
• Water Systems
• Chemistry and Environmental Sciences

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RESEARCH OVERVIEW

RESEARCH PROJECTS

• Explainable Deep Learning for Stress Assessment

• Privacy-Preserving Distributed Deep Learning

• Nonparametric Deep Learning

• Smart Water System

• Deep Gaussian Fuzzy-Mappings 

• Fuzzy Theoretic Model Based Analysis of Image Features

• Fuzzy Membership Functions for Nonparametric Signal and Data Modeling

• Fuzzy Theoretic Approach to Signals and Systems: Static Systems

• Fuzzy Theoretic Analysis for Physiological Assessment of Job Tasks

• Analyticallly Derived Fuzzy Membership Functions

• An Adaptive Fuzzy Filter for Image Denoising

• Fuzzy Memberships Descriptors for Images

• A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals

• Mobile Phone Based Child Biometrics for Improved Immunization

• Stationary Fuzzy Fokker-Planck Learning

• Intelligent Fuzzy Computing for Physiological Signal Analysis

• Stochastic Fuzzy Systems

• Modeling of Environmental Behavior of Chemicals

• Fuzzy Modeling of Subjective Workload Score

• Fuzzy Filtering

• Models for Quantitative Structure-Activity Relationship

• Fuzzy Filtering Based Mental Stress Assessment

• Fuzzy Estimation of Physical Fitness

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