Two-day Tutorial on Machine Learning and Evolutionary Optimization - Foundations, Recent Trends and Future Challenges

#Machine #Learning #Evolutionary #Optimization
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We are living in an era when machine learning is continually transforming the day to day lives of people from nearly all social strata and has become more of a household term than a research jargon. Modern developments in machine learning have caused a paradigm shift in the realms of supervised learning and classifier design methods. This tutorial will begin with a primary introduction to basic classifier systems including the k-nearest neighbor (k-NN), support vector machines (SVMs), and multilayer perceptron (MLP) models. The tutorial will then provide an eye-opener on the deep learning paradigm and the deep neural architectures along with some of their interesting applications. In the same context, this tutorial will discuss the derivative free and evolutionary optimization algorithms. Some hands-on experiments on classification and optimization with the discussed algorithms will be demonstrated. The session will conclude with a discussion on a number of open problems which the participants will be encouraged to take up as their future research endeavour.



  Date and Time

  Location

  Hosts

  Registration



  • Start time: 24 Mar 2018 04:00 AM UTC
  • End time: 25 Mar 2018 11:00 AM UTC
  • Add_To_Calendar_icon Add Event to Calendar
  • Room No: 205, Conference Hall
  • Banjara hills
  • Hyderabad, Andhra Pradesh
  • India 500057
  • Building: IDRBT
  • Click here for Map

  • Contact Event Host
  • Prof. B.M. Mehtre
    Professor, IDRBT
    +91-98499-83958
    bmmehtre@idrbt.ac.in

  • Co-sponsored by IDRBT, Banjara Hills, Hyderabad


  Speakers

Swagatam Das of Indian Statistical Institute, Kolkata

Topic:

Machine Learning and Evolutionary Optimization - Foundations, Recent Trends and Future Challenges

This tutorial will begin with a primary introduction to basic classifier systems including the k-nearest neighbor (k-NN), support vector machines (SVMs), and multilayer perceptron (MLP) models. The tutorial will then provide an eye-opener on the deep learning paradigm and the deep neural architectures along with some of their interesting applications. In the same context, this tutorial will discuss the derivative free and evolutionary optimization algorithms. Some hands-on experiments on classification and optimization with the discussed algorithms will be demonstrated. The session will conclude with a discussion on a number of open problems which the participants will be encouraged to take up as their future research endeavour.

Biography:

Dr. Swagatam Das received the B. E. , M. E. Tel. E and Ph. D. degrees, from Jadavpur University, India, in 2003, 2005, and 2009 respectively. He is currently serving as an Associate professor at the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata. He has published one research monograph, one edited volume, and more than 200 research articles in peerreviewed journals and international conferences. He is the founding co-editor-in-chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as the associate editors of the IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Computational Intelligence Magazine, IEEE Access, Neurocomputing (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), and Information Sciences (Elsevier). He is an editorial board member of Progress in Artificial Intelligence (Springer), PeerJ Computer Science, International Journal of Artificial Intelligence and Soft Computing, and International Journal of Adaptive and Autonomous Communication Systems. Dr. Das has 12000+ Google Scholar citations and an H-index of 54 till date. He has been associated with the international program committees and organizing committees of several regular international conferences including IEEE CEC, IEEE SSCI, SEAL, GECCO, and SEMCCO. He has acted as guest editors for special issues in journals like IEEE Transactions on Evolutionary Computation and IEEE Transactions on SMC, Part C.

Address:Associate professor, Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, Kolkata, West Bengal, India





Agenda

24th March 2018 (SATURDAY)

9:00am -- 9:30 pm Registration

9:30 am -- 9:45am Inaugural function

9:45am -- 11:30am Session 1

11:30am – 11:45pm Tea & Snacks

11:45am – 1:00pm Session 2

1:00pm – 2:00pm LUNCH

2:00pm – 3:30pm Session 3

 

25th March 2018 (SUNDAY)   

10:00am – 12:30pm Hands-on session-1

12:30pm – 1:30pm LUNCH

1:30pm – 3:30pm Hands-on session -2

3:30pm – 4:00pm Valedictory function

4:00pm – 4:15pm Tea & Snacks