Nature inspired optimization techniques and applications in hyperspectral imaging
Machine learning technique based speech processing
Machine Learning for Signal Processing -Stroke and Speech Processing
K-means Algorithm for color quantization
Sparsity-driven Convex Optimization for Biosignal Processing
Recent advances in signal processing and machine learning: theory and applications
Social Signal Processing-Stroke and Speech Emotion Recognition
Signal Processing and Machine Learning in Assistive Listening Devices
Affective Computing: Making Machines Emotionally Intelligent
Regression Techniques
Adaptive Signal Processing & ML for Hearing Aids
Deep network for periocular recognition in heterogeneous environments
Adaptive Techniques for Channel Equalization
Deep learning technique for smart health care systems
EEG based brain source localization
Deep learning for biomedical signals
Detection and Classification of Fundamental Heart Sounds from Phonocardiogram.
Highlights
List of Speakers
Prof. Vimal Bhatia, IIT Indore
Dr. N. B. Puhan, IIT Bhubaneswar
Prof. Ganapati Panda, IIT BBS
Dr. Ashutosh Modi, IIT Kanpur
Prof. T. Kishore Kumar, NIT Warangal
Dr. S. Manikandan, IIT Palakkad
Dr. Priya R Muduli, IIT BHU
Dr. Lalan Kumar, IIT Delhi
Dr. Satyasai J Nanda, NIT Jaipur
Dr. J. Ravi Kumar, NIT Warangal
Dr. Santosh K Majhi, VSSUT Burla
Dr. Vasundhara, NIT Warangal
Dr. Nithin V George, IIT Gandhinagar
Dr. Udit Satjia, IIT Patna
Dr. Ajay Babu, Signal Process Engg., UT
Feedback Summary
FDP was very informative and qualitative.
The program was organized perfectly.
Suggestions from Participants
Participants requested to conduct more FDPs of this type.
Participants requested to conduct more Hands on Sessions.
