FDP on Applications of AI in Wireless Communication and Sensor Networks
Date : 4th to 14th May 2022
Venue : Online
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Session |
Forenoon (10:00 AM to 12:00PM) |
Afternoon (02:00 PM to 04:00 PM ) |
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04-05-22 (Wednesday) |
Inauguration and Introduction to the FDP Dr. V. V. Mani,NIT Warangal |
Overview of Artificial intelligence driven |
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05-05-22 (Thursday) |
Intelligent Multimedia streaming in Wireless networks Dr. Chetna Singhal, IIT Kharagpur |
Lab on Intelligent Multimedia streaming in Wireless Dr. Chetna Singhal, IIT Kharagpur |
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06-05-22 (Friday) |
AI Based Channel Estimation for Intelligent Reflecting Dr. Debarati Sen, IIT Kharagpur |
Intoduction to Machine Learning with Matlab Dr V V Mani, NIT Warangal |
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07-05-22 (Saturday) |
Interplay of AI and IoT Networks by Dr. Sudhir Kumar, IIT Patna |
Ensemble learning for energy resource allocation for Dr. Vivek Ashok Bohara, IIIT-Delhi |
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09-05-22 (Monday) |
Machine Learning for Wireless Communication – Hands on Dr V V Mani, NIT Warangal |
AI for VLC , Matlab Coding Dr V V Mani, NIT Warangal |
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10-05-22 (Tuesday) |
Deep Leaerning based RF Signal Classification: Part 1 –
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Deep Learning based RF Signal Classification: Part 2 – Hands-on
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11-05-22 (Wednesday) |
Machine Learning based Intrusion Detection in IoT-MQTT
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Machine learning based localization and classification Dr. Abhinav Kumar, IIT Hyderabad |
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12-05-22 (Thursday) |
AI enabled Wireless communication technologies for IoT Dr. Prabu K, NITK Surathkal |
Federated Learning over wireless networks by Dr. Gagan Raj Gupta, IIT Bhilai |
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13-05-22 (Friday) |
Machine Learning (ML)-driven Sensing for Smart
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European/Global Standards in AI for Wireless
Dinesh Chand Sharma |
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14-05-22 (Saturday) |
Multiple Access Schemes for Next-generation Wireless |
Exam, Valedictory |
FDP objective :
This FDP aims at providing strong theoretical background along with practical experience in the field of computer vision and medical imaging applications and how the viualization and analysis of the images could be efficiently done with the help of computer vision and medical image analysis based algorithms. In the growing and emerging era of “Digital India” initiative, the use of computer vision becomes pertinent in the machine vision and medical imaging area since several applications of the images determine and contribute towards socio-economic status of the regions and the country as whole.
FDP will be helpful for the faculties and researchers working in the areas of AI/ML for computer vision and medical image analysis applications.
Number of Participants : 52
Outcome of the Program :
- Introduction to Computer vision and Medical image analysis applications.
Machine Learning Basics, working with data pre-processing and data visualization. - Supervised and unsupervised learning methods, SVM classification, neural
networks and applications. - Introduction to Deep learning methods, and DL based other Architectures and
its applications. - CNN Architectures for CV and medical imaging implementation.
- Video analytics, Object detection/Tracking, segmentation, Yolo models, RCN,
Unet and FRCNN. - Biometrics detection, Human activity and face recognition.
- Medical image data processing and analysis.
- AI/ML for Biomedical imaging, CT Scan/MRI based image analysis, and medical image classifications.
- Basics of Tensor Flow/Keras/PyTorch/Jupyter and Colab.
- Working with data pre-processing and data visualization using python/MATLAB.
- Hands-on session using Python/MATLAB.
- CV and AI algorithms implementation on Hardware platform like Jetson Nano,
TX2 etc. Faculty
