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News & Events

FDP on Applications of AI in Wireless Communication and Sensor Networks

Date : 4th to 14th May 2022

Venue : Online

Session

Forenoon (10:00 AM to 12:00PM)

Afternoon (02:00 PM to 04:00 PM )

04-05-22 (Wednesday)

Inauguration and Introduction to the FDP

Dr. V. V. Mani,NIT Warangal

Overview of Artificial intelligence driven
Non-orthogonal Multiple Access Technique for 5G and
beyond 5G- and Stress on implementation of NOMA for
VLC. Dr Suseela Vappangi. VIT AP

05-05-22 (Thursday)

Intelligent Multimedia streaming in Wireless networks

Dr. Chetna Singhal, IIT Kharagpur

Lab on Intelligent Multimedia streaming in Wireless
networks

Dr. Chetna Singhal, IIT Kharagpur

06-05-22 (Friday)

AI Based Channel Estimation for Intelligent Reflecting
Surface (IRS) driven Wireless Communication by

Dr. Debarati Sen, IIT Kharagpur

Intoduction to Machine Learning with Matlab

Dr V V Mani, NIT Warangal

07-05-22 (Saturday)

Interplay of AI and IoT Networks by

Dr. Sudhir Kumar, IIT Patna

Ensemble learning for energy resource allocation for
Fiber-Wireless networks

Dr. Vivek Ashok Bohara, IIIT-Delhi

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

10-05-22 (Tuesday)

Deep Leaerning based RF Signal Classification: Part 1 –
Theory


Dr. Prabhu Chandhar, Chandhar Research Labs,
Chennai

Deep Learning based RF Signal Classification:

Part 2 – Hands-on


Dr. Prabhu Chandhar, Chandhar Research Labs,
Chennai

11-05-22 (Wednesday)

Machine Learning based Intrusion Detection in IoT-MQTT
Networks


Dr. Prabhu Chandhar, Chandhar Research Labs,
Chennai

Machine learning based localization and classification
in wireless networks by

Dr. Abhinav Kumar, IIT Hyderabad

12-05-22 (Thursday)

AI enabled Wireless communication technologies for IoT
Applications

Dr. Prabu K, NITK Surathkal

Federated Learning over wireless networks by

Dr. Gagan Raj Gupta, IIT Bhilai

13-05-22 (Friday)

Machine Learning (ML)-driven Sensing for Smart
Buildings Applications


Dr. Ashish Pandharipande, Technical
Director-Innovation, NXP semiconductors, Netherland

European/Global Standards in AI for Wireless
Communication and Sensor Networks

Dinesh Chand Sharma
| Director – Standards & Public Policy (SESEI)

14-05-22 (Saturday)

Multiple Access Schemes for Next-generation Wireless
Networks Dr Sanjeev Sharma, IIT (BHU) Varanasi

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

View Event Report