|Date of the Event||18.1.2021 to 22.01.2021|
|Title of the Event||AICTE Sponsored 5-DAYS ONLINE ATAL FDP on ARTIFICIAL INTELLIGENCE and MACHINE LEARNING|
|Organized by||Jointly organized by AICTE, New Delhi, and Dept. of Computer Science and Engineering, MVJCE, Bangalore|
|Name of the Resource Speaker||Dr. Biplab Sikdar
Associate Professor, National University of Singapore, SingaporeAshwin Vijayendra
Senior Software Engineer – 7.AI , Sydney, AustraliaDr. Shreedhara K S
Professor, Dept of CSE, UBDTCE,
Dr. B. Surendiran
Dr. Lalit Kumar Singh
Dr. Anbhunathan R
Dr. Chandra Mouli P V
Dr. Viraj Kumar
Dr. S Venkatesan
Dr. Narasimha Murthy
Dr. Prasanta Kumar Ghosh
Dr. Malaya Kumar Nath
Dr. M Venkatesan
The Department of Computer Science and Engineering organized AICTE-Sponsored ATAL FDP on ‘Artificial Intelligence and Machine Learning’, from 18th Jan to 22nd Jan 2021. The purpose of this FDP program was to enhance the skill set and knowledge of the faculty members, Research Scholars and Industry professionals in areas like Artificial Intelligence and machine learning. 163 participants from various academic institutions and industries attended the programme.
Topics of the STTP:
The ATAL FDP on Artificial Intelligence and Machine Learning was organized by the Department of Computer Science and Engineering & IQAC, MVJCE. The inaugural speech was given by Dr. P. Mahabaleswarappa Principal, MVJCE, Bangalore. The chief guest was introduced by the Professor, Kavyashree.C HOD, Department of Computer Science and Engineering.The inauguration was done by the Chief Guest of the program Dr.BiplabSikdar Associate Professor, National University of Singapore, Singapore on 18th Jan, 2021 through online at 9.30 am.
The speaker discussed briefly on various topics related to IOT and Machine Learning. He gave a vast outlook to Artificial Intelligence and Security Challenges. His talk gave the participants an overall view of the faculty development program. The first session ended with the vote of thanks by Professor, Dr. Vinoth Kumar from Department of Computer Science and Engineering, MVJCE.
Session 2 of day1 was from 11.30 to 1.00pm which was taken by Ashwin Vijayendra, Senior Software Engineer in /7.AI, Sydney, Australia.
Mr. Ashwin discussed role of Artificial Intelligence in Voice Personal Assistants (VPA). He started with the evolution of VPAs starting from SIRI that was introduced in 2011, till today many others got evolved like OK GOOGLE, ALEXA. He discussed the detailed architecture behind the working of VPAs.
The session 3 started at 2.00 pm and the speaker of the session was Dr. Shreedhara K S, Professor, Dept of CSE, UBDTCE, Davangere. The session was on Neural Network Design and Implementation.
He started with the basics of Neural Networks. He discussed in detail the implementation of neuron concept. Various Learning Algorithms were also discussed. The session ended at 4.00pm after the QA session.
Session 4 of day 2 was from 09.30 to 11.00pm by Dr.B.Surendiran who is working as an Associate Professor in Dept of CSE NIT, Pondicherry.
Dr.B.Surendiran discussed the role of Artificial Intelligence in Health care Applications (AIHP). He started with the evolution of AI, real time health care application and benefits. He also discussed the detailed architecture of Artificial Intelligence in Health care Applications(AIHP).
Session 2 of day1 was from 11.30 t0 1.00pm by Dr. Lalit Kumar Singh. The guest was introduced to the participants by Dr. Ramya C, Faculty Department of Computer Science, MVJCE. Dr.Lalit Kumar Singh works as Scientist in Reactor Safety Analysis, GOI.
Dr.Lalit Kumar Singh spoke about the role of Artificial Intelligence in Reliability analysis of safety critical systems (RASCS). He started with the evolution of AI, Graphical tool, Mathematical tool, Communication b/w theoreticians and practitioners. He discussed the detailed architecture of Reliability analysis of safety critical systems(RASCS).
Session 3 started at 2.00 pm. The speaker of the session was Dr. R.Anbunathan, who is the Founder & CEO of ‘Digi Tran Solutions’. The session was on Internet of Things Design and Implementation.
He started with the basics of Internet of Things, voice command SHS, Sensor data Analysis. He discussed in detail the implementation of IOT. Various Learning technologies AI, Data Science, IOT, android, Cloud Computing were also discussed. The session ended with a question answer session by 4.00 pm.
Introduction to Deep Learning
The session 7 of day3 was taken by Dr.ChandraMouli P V, Associate Professor & Head, Dept of CSE, Central University of TN. The speaker has started the session by giving the talk on the emergence of Artificial Intelligence, Machine Learning and importance of Deep Learning. He also gave an idea on data, the features of data and how to model the data.
The idea of Artificial Neural Network, Multilevel Perceptron was also given. Then the speaker gave a brief introduction on Deep Learning, different types of classification functions, what are the regularization strategies to be followed, and finally he also gave an idea on convergence problem, local and global minima.
Teaching Ethics in an AI Course
The session 8 of day3 was taken by Dr. Viraj Kumar Professor, Divecha Centre for Climate Change, IISc and he spoke about the teaching ethics which are to be incorporated in AI course.
The speaker started the session by giving an idea on AI and its importance. Since the topic was teaching ethics and how to include it in AI course he gave us an idea in general regarding the morality and ethics .Then he has put forward few questions to the participants like
Then he spoke regarding the hypothetical behavior and shared few Youtube links regarding ethical debt, COMPUTE’20.
Then sir also talked about some of the strategies which can incorporate ethics with AI like
Security-A Perspective of AI
The day3 session 4 was taken by Dr. S Venkatesan Associate Professor, IIIT Allahabad on Security-A perspective of AI. The speaker started the session by pointing to the security requirements, how data can be classified, how it can be categorized, how to handle sensitive and insensitive data and importance of multilevel database.
Then he discussed regarding the access control policy and limitations and discussed regarding the techniques like cryptographic, non –cryptographic, K-Anonymity, L-Diversity importance and its drawbacks. The speaker talked about the intrusion detection system how learning transfer happens within it and its risks .Later he introduced the role of Machine Learning in security perspective and the top risks of Machine Learning like Data confidentiality, Learning attack etc.
Centrality and Diversity in Search
The session 10 of day 4 was taken by M.Narashima, Honorary Professor, Dept of CSA, IISc Bangalore. The speaker has started the session by giving the talk on Heuristic search in addition to that he gave an introductory about search in AI. He also gave an idea on Neighbourhood based learning such as K – Nearest Neighbour. Then the speaker have talked on Support Vector Machine, Practical learning system, Centrality and diversity in Genetic search, Clustering K-Means and finally he gave an idea about search engines frequency of words
Deep learning for Automatic Speech Recognition (ASR)
The session 11 of day 4 was headed by Mr.Prasanta Kumar Ghosh, SPIRE lab, Electrical Engineering, IISc, Bangalore and he spoke about the research area on SPIRE lab. And he introduced commercially available Automatic speech recognizers. Then the speaker gave an overview of ASR in deep learning with case study followed by traditional approach and end to end approach. Then he explained Acoustic feature such as MFSC-Short time fourier Transform, MFCC-Mel Filter Bank, MFCC- delta and delta feature, Statistical speech recognition techniques, State based modelling approach.
Deep Learning and its Application in Agriculture
The session 12 of day 4 was taken by Dr. Malaya Kumar Nath, Assistant Professor, NIT Puducherry, Karaikal. The speaker started the session by introducing all the learning concepts such as supervised, unsupervised, Reinforcement and linear regression. In addition to that he briefly explained about capacity, over fitting and under fitting. Then the speaker discussed ANN, Evolution of ANN, Perceptron –Logical OR, Multi layer NN Ex-OR, Convolution networks.
Then he gave a brief note on in agriculture field how can we implement the deep learning and machine learning algorithm to identify the normal versus stressed paddy crops.
Machine Learning tools and Techniques and Supervised Learning
The session 13 of day 5 was taken by Dr.M.Venkatesan is currently working as an Assistant Professor, in the Department of Computer Science & Engineering, NIT Karnataka. The speaker has started the session by giving the talk on the Machine Learning and importance of Deep Learning. He also gave an idea on data, the features of data and how to model the data. The speaker gave a brief lecture on Supervised Learning, Classification Regression etc.
Then he spoke about the unsupervised machine learning and later he introduced the term reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning.
The session 14 of day 5 was given by Prof. Desingurajan. The speaker has started the session by giving the talk on Stress management is a wide spectrum of techniques and psychotherapies aimed at controlling a person’s level of stress, especially chronic stress, usually for the purpose of and for the motive of improving everyday functioning.
The speaker gave how effective stress management helps you break the hold stress has on your life, so you can be happier, healthier, and more productive. The ultimate goal is a balanced life, with time for work, relationships, relaxation, and fun—and the resilience to hold up under pressure and meet challenges head on. He also gave us an idea how the laughter, physical activity and organizing your thoughts can be effective stress-management techniques.
Data Assessment and Readiness for AI
The session 15 of day 5 was taken by Hima works as a Research Manager in IBM Research India, leading a research group that is focused on developing novel technologies using Machine Learning and Natural Language Processing and pushing the state-of-art in this area/domain. She gave an overview on AI and its applications. She explained how to solve the challenges by building a framework that can act as a decision support system for data scientists and gives insights about the quality of data with respect to building a machine learning model. Specifically, our framework does three things:
She also discussed the shortcomings and inefficiencies in current practices related to data pre-processing and quality assessment. Finally the speaker illustrated the concept of Data Readiness Report as a shareable asset that accompanies the data and discussed the shortcomings and inefficiencies in current practices related to data pre-processing and quality assessment.
The Valedictory speech was given by our Principal,MVJCE Dr. P Mahabaleswarappa who appreciated the eminent speakers of all the 5 days and the participants for their active participation. The final vote of thanks was given by the Coordinator of this ATAL FDP, Dr. Vinoth Kumar, Associate Professor in CSE, MVJCE.
Outcome of the event:
The FDP provided inputs to the participants on Artificial Intelligence and Machine Learning which will enhance their ability to work in interdisciplinary areas. It will boost their research ability and also enhance their confidence to contribute in seminars / conferences / workshops, as Resource Persons.
Links for the ATAL FDP Details in MVJCE Official Social Media: