Submit a Post Online FDP on Deep Learning for Visual Computing & Communications by NIT Patna [Oct 15-21]: Register by Oct 14 - Noticebard

Online FDP on Deep Learning for Visual Computing & Communications by NIT Patna [Oct 15-21]: Register by Oct 14

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About

The Electronics and ICT academy at the National Institute of Technology (NIT) Patna is organizing an Online Faculty Development Program On Deep Learning for Visual Computing and Communications from October 15 to 21, 2020.

National Institute of Technology Patna is the 18th National Institute of Technology created by the Ministry of H.R.D. Government of India after rechristening the erstwhile Bihar College of Engineering Patna on 28.01.2004. NIT Patna marked its humble beginning in 1886 with the establishment of a pleaders survey training school which was subsequently promoted to Bihar College of Engineering Patna in 1924.

FDP Scope

This program will help participants not only to grasp the various deep learning concepts but also their applications. In this era of interdisciplinary research and practice, deep learning concepts are widely used across other engineering domains like industrial automation engineering, mechanical engineering, marine engineering, aeronautical engineering, electrical engineering, chemical engineering, and environmental engineering.

Therefore, knowing the basics and design techniques enables one to think, create, and make efficient use of deep learning for solving problems in their respective domains. This is an attempt to get experts related to deep learning from premier institutes of India and abroad to give participants a good exposure to the above aspects of deep learning.

FDP Objectives

The objectives of the FDP are:

  • To impart knowledge of principles and practices in deep learning for academicians, researchers, and students.
  • To promote the use of deep learning for problem-solving in other engineering domains.
  • To introduce some cutting edge research trends in the field of deep learning.
Topics
  1. Introduction to machine learning;
  2. Artificial Neural Networks,
  3. The Neuron Diagram,
  4. Perceptron, multilayer network, and backpropagation;
  5. Introduction to deep neural networks (DNN)-CNN, RNN, LSTM, etc.
  6. Advanced architecture, i.e., GAN, Transfer learning techniques, one-shot learning, etc.
  7. Transfer learning, Deep learning scopes, Impact of Deep Learning in this world of AI, Application to computer visions;
  8. Deep Architectures for medical image processing, analysis, and diagnostics, Deep Architectures for Speech, Language, and Pathological Signal Processing, Deep generative models for computational imaging, Deep Architectures for Natural Language Processing.
  9. Deep architectures for (speech and image-based) forensic and security-related applications, Computational intelligence in wireless communications and architectures, Computational intelligence in electromagnetics, and allied domains.
Resource Person

Our team of experts is as follows:

  • Prof. B.W. Schuller, Imperial College London, UK
  • Prof. S. C. Dutta Roy, IIT Delhi
  • Prof. Md. Zafar Ali Khan, IIT Hyderabad
  • Prof. S. R. Mahadeva Prasanna, IIT Dharwad
  • Dr. M. Sabarimalai Manikandan, IIT Bhubaneswar
  • Prof. Ashish Ghosh, ISI Kolkata
  • Dr. Amalendu Patnaik, IIT Roorkee
  • Dr. J. Chakraborty, Dept. of Surgery, MSKCC, USA
  • Dr. Abhishek Midya, MSKCC, USA
  • Mr. Jai Mangal Singh, RES LLP, Bengaluru
  • Mr. Abhishek Dey, Data Scientist, Kaliber.AI
  • Mr. Abhishek Roy Choudhury, TCS, Kolkata
  • Prof. S. Ramanarayana Reddy, IGDTUW, Delhi.
  • Dr. Chandra Shekar Seetamantulu, IISC Bangalore
  • Dr. Anil Kumar Vuppala, IIIT Hyderabad
Target Audience

Faculty members of UGC/ AICTE recognized Universities and Engineering colleges all over India, Research scholars (Ph.D. only), students and Industry personals, however, priority will be given to the faculty members.

Registration Fees
  1. Faculty/ Research Scholar (Ph.D.): Rs. 500/-
  2. Students: Rs. 500/-
  3. Industry and others: Rs. 1000/-

The registration fee will be paid through online mode, the account details for this purpose is Account Name: NIT Patna; Account No.: 50380476798; IFSC Code: ALLA0212286.

Registration

Interested candidates can register online by clicking here.

The last date to register is October 14, 2020.

 

For full notification, click the link below.

Online FDP on Deep Learning for Visual Computing & Communications by NIT Patna

 

 

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