Report about Five-day FDP on ‘CSIR Sponsored Artificial

Report about Five-day FDP on ‘CSIR Sponsored Artificial Intelligence &

Computer Vision Solution of Edge Devices (IoT)

A Five-day FDP on ‘CSIR Sponsored Artificial Intelligence & Computer Vision

Solution of Edge Devices (IoT)’ was organized by the ECE Department from 1st February 2021

to 5th February 2021, through online mode. The FDP program received an overwhelming response,

with more than 40 participants from various institutes/colleges. This FDP was planned for 5 days,

to include technical hands-on sessions as well as lecture Sessions on topics like Earth observation

system and Geospatial Information. The FDP was initiated by Mr. Ramachandra Hebbar, Scientist

SG, RRSC, ISRO Bangalore.

The Resource Persons

Artificial Intelligence by Dr. A Athif Shah, Founder/Chairman, ABE Semiconductor Designs,

Chennai;

Machine learning for geospatial data analysis by Mr. Vinod P V, Scientist, RRSC, ISRO,

Bengaluru;

Application of IoT and AI by Mrs. Sadha Gopalakrishna, Project Manager, Philips, Bengaluru;

Machine learning, deep learning and transfer learning with hands-on training by Dr. Mohan Raj,

Data Scientist, Renault-Nissan-Mitsubishi;

Artificial intelligence in medical imaging by Dr. Sheeba Jenifer Sujit, Postdoctoral Research

Fellow, The University of Texas MD Anderson Cancer Center, USA;

Deep learning neural networks and forecasting time series signals by Dr. Sishaj P Simon, Associate

Professor, National Institute of Technology, Tiruchirappalli-Tamil Nadu and Dr. P Ganesh Kumar,

Director, International R&D Linyi Top Network Co. Ltd., Linyi Shandong Provience, China.

ABOUT THE FDP

The program was presided over by Dr. P Mahabaleshwarappa (Principal, MVJCE), Dr. M Brindha

(Vice Principal, MVJCE) and Prof. Vaman B Gudi (CoE & Registrar, MVJCE). The session started

at 10:30 am with 50 participants including Faculty Members from various departments of MVJCE

and other institutes.

CSIR Sponsored Five day Faculty Development

Program

On

“Artificial Intelligence & Computer

Vision Solution of Edge Devices

(IoT)”

This FDP designed with state-of-the-art concepts of AI, Machine Learning, and IoT technology

comprised of theory as well as hands-on sessions. Half of the program was designed for theory,

use–case demonstrations, and research-oriented discussions, which will be helpful in understanding

the process. The remaining 50% of the course was devoted to applications and practical

implementation (hands-on). In short, this FDP covered AI, Machine Learning concepts, Types of

Learning, Applications of Machine Learning, Deep Learning, Block chain applications in areas such

as Internet of Things (IoT), by experts from reputed Industries and academic institutions, with an

aim to improving the understanding of this highly technical field. This will, in turn, improve the

quality of teaching which will motivate the students to take up the challenges in this

interdisciplinary field.

Date: 01– 5th February, 2021

Time: 10:30 am to 04:00 pm (Monday – Friday)

Venue: Webex platform

Convener: Mrs. Shima Ramesh, Assistant Professor, Dept. of ECE

Coordinator: 1. Dr. J Sugumar, Professor, Dept. of ECE, 8903618874

2. Mr. K Murugesh, Assistant Professor, Dept. of ECE, 8147353307

Targeted Audience:

1) Faculty members from various academic institutes/universities

2) Research Scholars

3) Industry Personnel

Number of Participants:

1) Academicians – 38

2) Industry Personnel – 02

FDP Brochure

Day 1 (01.02.2021): Session I (Inauguration Ceremony)

The course was intended to make the participants aware and be able to work on this emerging area.

Around 40 participants attended this course to gain knowledge in the area of designing projects and

applications, using AI. The program commenced on 1st February 2021 on Webex Meet app with an

introductory and motivational speech by Dr. P Mahabaleshwarappa (Principal, MVJCE).

FDP on CSIR Sponsored Artificial Intelligence & Computer Vision Solution of Edge Devices (IoT)

- Welcome Speech by Dr. P Mahabaleshwarappa (Principal, MVJCE) on 01-12-2021

At the beginning of the inaugural session of the FDP, Dr. Tamilarsi, Associate Professor,

Electronics and Communication Department, MVJCE, Co-coordinator of the course, welcomed

the Chief Guest and other dignitaries, and briefly introduced the course to the participants. She

highlighted the need for organizing such courses, to enable the participants to learn new

technologies. The coordinator briefly enlisted the application of AI in our daily life and the

advantages of using the technology. She explained that the main aim of this course was to present

hands-on sessions for the implementation of theoretical concepts.

Day 1 (01.02.2021 Session II:

In this session, the lecture was delivered by Mr. Ramachandra Hebbar, Scientist SG, RRSC, ISRO

Bangalore. He defined the basic terms related to Earth observation system and Geospatial

Information. He also discussed about Object based classification based on machine learning, mobile

applications in season field data collections, cloud sourcing, pattern recognition techniques, data

fusion using machine learning and spatio temporal analysis of the lakes of Bangalore and research

avenues in geo spatial technologies.

A FDP on CSIR Sponsored Artificial Intelligence & Computer Vision Solution of Edge Devices

(IoT) by Mr.Ramachandra Hebbar (Scientist SG, RRSC, ISRO Bangalore), Giving speech on

Earth observation system and Geospatial Information on 01-12-2021


by Mr. Ramachandra Hebbar (Scientist SG, RRSC, ISRO Bangalore), on Object based

classification based on machine learning, on 01-12-2021

Day 1 (01.02.2021) Session III

The afternoon session was given by Dr. A Athif Shah, Founder/Chairman, ABE semiconductor

Designs, Chennai. He started the session with a presentation on the topic Machine Learning and

Artificial Intelligence, where he explained the concept of Deep Learning, Neural Network

Architecture. He also gave a brief idea about the Activation Functions and the steps involved in

CNN architecture. He explained the range of these Activation Functions, along with their plots. He

has explained the need of Convolution in Image Processing by taking real-world example also,

moreover he discussed the convolution layers in LeNet model which was inspired by Lechon,

1998,” and Gradient-based learning applied to document recognition.


by Dr. A Athifshah, Founder/Chairman, ABE semiconductor Designs, Chennai, on Artificial

Intelligence

Day 2 (02.02.2021): Session IV

This session was conducted by Vinod P V, Scientist, RRSC, ISRO Bangalore. He gave a lecture on

Artificial Intelligence for remote sensing data analysis, Applications of AI in agriculture field, what

is machine learning and its classification. He gave an interesting talk on the basis of Convolutional

neural network. Moreover, he discussed about the recent project that is being carried on in ISRO

about Automatic classification of urban vegetation from high resolution satellite images using deep

learning techniques and AI based mobile app for identifying land use changes in urban environment.

Finally, he gave an enlightening talk on Deep learning and edge computing.


by Mr. P V Vinod, explaining the concepts of Artificial Intelligence for remote sensing data Analysis

Day 2 (02.02.2021): Session V

In this session, the lecture was given by Mrs. Sadha Gopalakrishna, Project Manager, Philips,

Bengaluru. She gave a talk on software development life cycle - SDLC. She explained about

Software Development Life Cycle (SDLC) which is a process used by the software industry to

design, develop and test high quality software. She spoke about how SDLC aims to produce a high-

quality software that meets or exceeds customer expectations, reaches completion within times and

cost estimates. She also elaborated on the different development methodologies and phases of

SDLC, water fall versus Agile Electronic systems and IoT and about the ongoing projects she is

handling in Philips.

FDP on CSIR Sponsored Artificial Intelligence & Computer Vision Solution of Edge Devices (IoT),

by Mrs. Sadha Gopalakrishna, Project Manager, Philips, Bengaluru. She is presenting development

methodologies and phases of SDLC.

Day 3 (03.02.2021): Session VI

Dr. Sheeba Jenifer Sujit, Postdoctoral Research Fellow, The University of Texas MD Anderson

Cancer Center, USA, handled this session on Artificial intelligence in Medical Imaging. She

explained the role of AI in medical imaging and gave an overview of AI pipeline. She shared details

of the real time research which she has carried out on automated image quality evaluation of

structural brain MRI using an ensemble of deep learning network. In her talk, she gave a brief

explanation on data augmentation. She also enlightened the participants about her recent research

on development of machine learning enabled android mobile app for automated brain shunt valve

recognition. She apprised the participants about the advanced medical imaging tools available.


by Dr. Sheeba Jenifer Sujit, on Artificial Intelligence in Medical Imaging

Day 4 (04.02.2021): Session VII and VIII

On the fourth day of the FDP, the presentation was given by Dr. Mohan Raj, Data Scientist, Renault-

Nissan-Mitsubishi, both in the forenoon and afternoon. He started the session by giving a brief about

Artificial Intelligence and how Machine Learning is related to it. He also stressed on the fact that

Machine Learning is present everywhere - in speech recognition, health monitoring, Stock Market

Prediction, IoT Analytics etc. After this, he explained about the different types of Machine Learning

available and how a model can be trained to classify human activity from sensor data. He explaining

the concept of Deep Learning with python and what is the background knowledge involved in doing

this. He elaborated on the concept of artificial intelligence, supervised and unsupervised learning,

pattern recognition, and how these concepts are applied in various real time engineering research

applications. He also pointed out how the three terms Artificial Intelligence, Machine Learning and

Deep Learning are interrelated to each other, and how Deep Neural Networks can be trained and

what are the steps involved in training the networks.


by Dr. Mohan Raj, Data Scientist, Renault-Nissan-Mitsubishi. He is giving a presentation on the

need for Deep Learning.

The afternoon session was hands-on, where he explained how to work with NumPy with basic

calculations. The participants performed hands on NumPy. Moreover the speaker taught how to

solve real time problems efficiently using machine learning algorithms.


by Dr. Mohan Raj, Data Scientist, Renault-Nissan-Mitsubishi. He is giving hands-on training in

Deep Learning.

Day 5 (05.02.2021): Session IX

This session was given by Dr. Sishaj P Simon, Associate Professor, National Institute of

Technology, Tiruchirapalli-Tamil Nadu. He gave a thought-provoking talk on Biological neural

network to artificial neural network and the Classification of ANN, different types of Standard

activation functions, back propagation neural network. He showed deep learning Neural LSTM tool

using Matlab. He explained how LSTM RNN does a better job at predicting the weekly movements

and how LSTM RNN was able to predict volatile movements in the true data. Finally he showed

some applications of LSTM like time series prediction, speech recognition etc.


by Dr. Sishaj P Simon, Associate Professor, National Institute of Technology,Tiruchirapalli-Tamil

Nadu, presenting on ANN

Day 5 (05.02.2021): Session X

This session was handled by Dr. P. Ganesh Kumar, Director, International R&D Linyi Top Network

Co. Ltd., Linyi Shandong Provience, China. In this session, he talked about Agricultural Robots –

how companies are developing and programming autonomous robots to handle essential

agricultural tasks such as harvesting crops at a higher volume and faster pace than human laborers.

He gave an idea about Crop and Soil Monitoring – how companies are leveraging computer vision

and deep-learning algorithms to process data captured by drones and/or software-based technology

to monitor crop and soil health. Moreover, he discussed about Predictive Analytics – how Machine

learning models are being developed to track and predict various environmental impacts on crop

yield such as weather changes.


by Dr. P Ganesh Kumar, Director, International R&D Linyi Top Network Co. Ltd., Linyi Shandong

Provience, China, presenting AI enabled Agriculture Robotic.

OUTCOME OF TH FDP

Budding researchers and research supervisors got valuable inputs about Artificial intelligence and

deep learning thrust area and this will enable them to carry out interdisciplinary research in various

engineering applications.

The FDP was a great success, as all the participants were very satisfied which fact was reflected

from the excellent comments given by them in the chatbox. The response from the participants

about the FDP was tremendously good and positive, and as per the feedback, they want to attend

more such hands-on workshops in future.

We would like to thank all the faculty members, research scholars and students for participating in

the FDP. We would also like to thank all the faculty members of the Organizing Committee and

technical and non-technical staff of Electronics and Communication Engineering (ECE)

Department for their kind support throughout the course. Last but not least, we would like to thank

CSIR for sponsoring this FDP.

Documents

Report about Five-day FDP on ‘CSIR Sponsored Artificial