Organized by (i) IEEE Computer Chapter, Kolkata Section, (ii) IEEE Young Professional(formerly GOLD) Affinity Group , Kolkata Section, (iii) CMATER and SRUVM Project, CSE Dept., Jadavpur University, and (iv) Computer Jagat, Kolkata.

Thursday, 9th July 2015

9:00 am – 10:00 am: Registration

10:00 am – 11:00 am: Prof. Atal Chaudhuri, Department of Computer Science & Engineering, Jadavpur University, Topic: “Digital Magic”.

Abstract: In modern scenario, protection of sensitive data is an important issue, during transmission over internet. Shared cryptography is a popular technique to protect secret data. In this technique, a secret is shared among a set of participants and only when qualified set of participants come together then reconstruction of the secret is possible otherwise not at all.
In 1979, the concept of secret sharing was first introduced by Shamir and Blakley separately to safeguard cryptographic key, where Shamir used the concept of polynomial interpolation and Blakley used the concept of hyper plane geometry. After that, in 1983Asmuth & Bloom proposed a Chinese remainder based secret sharing scheme to protect cryptographic key.
This is a new algorithm for Shared Cryptography which is so simple that it can be implemented on any hand held systems where computational power is very low but security aspect is not compromised, which is the need of the day.

11:00 am – 11:30 am: Tea Break

11:30 am – 1:30 pm: Prof. Pradip K. Das, Dean Academic, RCCIIT, Kolkata, Topic: “Visualizing Distributed Systems”.

Abstract: Understanding the working of a distributed computer system always poses a challenge for the students. Making them see the way distributed systems work, similarly, presents a challenging task to the teachers. Many reasons contribute to this difficulty – inherent uncertainties, non-repeatability, absence of a global clock and non-availability of shared variables – are some of the important ones. This tutorial first presents the wide variety and ubiquitous presence of distributed computer systems in the modern world of computing. This is followed by examples that show why special care has to be exercised in designing programs that interact with one another. It
then proceeds to illustrate the complexities of designing truly distributed algorithms and establishes the concepts of “happened before” relationship and total ordering. Next it goes to show some common requirements for building distributed systems such as leader election and distributed mutual exclusion through graphics. The tutorial concludes by presenting a framework that helps in monitoring and visualizing distributed systems. The framework has been used by students and designers of distributed systems for gaining thorough insight into the working of distributed systems through visualization for pedagogical and debugging purposes respectively.

1:30 pm – 2:30 pm: Lunch Break

2:30 pm – 5:00 pm: Prof. Sudeshna Sarkar, Department of Computer Science & Engineering, IIT Kharagpur, Topic: “Deep Learning”.

Abstract: Deep Learning has been demonstratively an effective technique for multiple pattern recognition tasks in recent years – with state of the art results in CIFAR, ILSVRC, TIMIT and other standard datasets. Essentially, deep learning involves training a hierarchy of feature detectors in comparison to shallow learning models which rely on hand crafted feature detectors. Deep Learning is a biologically motivated process with the human visual and auditory systems .
The tutorial will discuss different deep learning methods, like, Auto encoder, RBMs and Deep Belief Network. Greedy layer wise training is also tackled as one of the more effective techniques for training deep models. In terms of particular DNN architectures, models which can take advantage of abundantly available unlabeled data are discussed with variants of the Auto-encoder and Deep Belief Networks (DBN) forming the crux of the discussion. Sparsity in Auto-encoders is discussed and Layerwise training methods, essential for stacking the layers of Auto-encoders and DBNs are addressed. The tutorial is concluded with results on a particular pattern recognition task.

* The tutorials are free for all the registered participants of the conference. However the tutorials can also be attended by other participants paying the following registration fee by 3rd July 2015.

1. Regular student:
a. IEEE Member: Rs. 300.00
b. Non-IEEE : Rs. 350.00
a. IEEE Member: Rs. 400.00
b. Non-IEEE: Rs. 500.00

For any queries regarding tutorials, please contact Mr. Suranjan Ganguly (Phone: 9331946771).