Saturday, 2nd March 2019
The MIND-2019 Conference will feature a series of pre-conference workshops on Saturday, 2nd March 2019. These are intended to offer a space for attendees to engage with experts on important issues and questions related to research in the domain of Computational Intelligence, Image Processing, Network Security and Data Sciences. The pre-conference workshops are designed to have a pedagogic orientation such that attendees leave with enhanced skills, knowledge and understanding.
Capacity is limited and registration is required for pre-conference workshops at a flat rate of Rs. 1000 (One Thousand Rs. only), which entitles the attendee to participate in the workshops on Saturday, 2nd March 2019.
Participants must register for their workshops of interest in order to reserve a seat. Registration portal is open. Also, fill the registration form at the link given aside.
Registration fee is to be paid in advance through a crossed demand draft in favor of "Director, NIT Kurukshetra" payable at Kurukshetra. Please send your DD to following address:
The Chairman, MIND-2019
Department of Computer Engineering
National Institute of Technology Kurukshetra-136119 (Haryana)
On Spot Registration facility is also available.
WS-1: LSTM Playground
Objective and Scope
The workshop will cover the basics of deep learning model of Recurrent Neural Networks (RNNs) and Long Short Term Memory (LSTM) models, the learning mechanisms of these models and their applications in different fields. The attendees will then interact with the API and use these blocks in Keras / TensorFlow in some simple examples. Next, we'll show demos with code and implementation details for tasks like Image Captioning, text generation – replicating author’s writing style or chatbots, time series prediction, music / sketch auto-completion using recently introduced variants of RNN.
The participants would gain a deeper understanding of the inner working of RNNs/ LSTMs. They would also familiarize with the API in keras/ Tensorflow and be able to build a wide range of applications.
Topics to be covered
- Deep Learning theory and building blocks of the model - RNNs, LSTMs and hands on with keras / TF based RNN models.
- Basics of RNNs / LSTMs and the sequential / time series type of data for which they are best suited.
- a) Getting to know RNNs
- b) Looking inside LSTM
- c) Implement RNN for the simple task of next character prediction in raw python.
- d) Outline of Sample Applications where RNNs can be used.
- e) RNN cell API in TF / Keras by implementation using LSTM cells and time series prediction.
Demos along with implementation details
- Image Captioning
- Text generation – replicating author’s writing style or chatbots
- Time series prediction
- Music generation using variants of RNN
- Sketch RNN for auto-completing sketches
The workshop is open to UG/PG/PhD students and faculty members of Engineering and other domain.
- Falak Shah, Lead Research Scientist, InFoCusp Innovations Private Limited; Email: email@example.com
- Twisha Naik, Machine Learning Researcher, InFoCusp Innovations Private Limited; Email: firstname.lastname@example.org
● Twisha Naik
Twisha is a Machine Learning Researcher at Infocup Innovations Private Limited, Ahmedabad, India. She is passionate about the research going on the fields of machine learning and data science. She has been working with machine learning algorithms during the 4 years of undergraduate studies, has a professional experience of almost a year now and has worked on various projects like Resume Recommender System and application of deep learning models in the domain of music. She was a part of the team which secured 5th position globally in Kaggle's “PASSNYC: Data Science for Good“ challenge. She was invited as a speaker to Machine Learning Summer School hosted by IEEE at DA-IICT in June, 2018 an event which saw 200+ participants from different universities all over India.
● Falak Shah
Falak Shah is the Lead Research Scientist at Infocusp Innovations Private Limited, an AI consultancy firm based in Ahmedabad, India. He is a gold medalist in M.Tech batch of 2015 from Dhirubhai Ambani Institute of Information and communication Technology. He has 3+ years of work experience in using python for Machine learning/ data science intensive projects for financial modelling. He has published papers at top tier conferences in the area of Machine Learning and computer vision. He was part of the team which secured 5th position globally in Kaggle's data science for good challenge. He was also a speaker the Machine Learning Summer school hosted by IEEE at DA-IICT. He was also teaching assistant at DA-IICT responsible for designing and conducting lab/ tutorial sessions for the B.Tech batch.
WS-2: Information Security, Cryptography & Cyber Security
Objective and Scope
The aim of this workshop is to promote research aspects in internet security, familiarize with tools available for network scanning (anti-virus, anti-spam and anti-spyware scans), identify and synthesize needs for internet security techniques (firewall, honeypots etc.), share information and practical awareness for data and system protection from cyber-attacks (prevent, detect and respond) etc. The workshop will start with an overview of cybersecurity, information security and cryptography aspects to help the audience understand importance of these aspects in real life scenarios. This workshop is planned into two parts: technical session and handson session. The technical session part of the workshop will focus on the most challenging contemporary issues in cybersecurity (cyber threat, cyber incidents, cyber threat sharing, cyber technology evolution etc.), data science (collection, analysis and visualisation) and cryptography. The hands-on session part will extend the discussion to address the practical evaluation of security tools and techniques, machine learning for data analysis and data forensics, and implementation of cryptography primitives and protocols. After each session, a small group breakout session will be conducted where key topics from the current session are addressed with participants helping identify recent trends and research gaps. At the end of workshop, summary of key findings and takeaways will be presented.
Topics to be covered
Short Technical Session-I: Overview of Cybersecurity, its security architectures, and security implications and adoption of evolving technology.
Hands-on Session-I: Open Source Data Scanning and Security Tools (Nmap, Wireshark, OpenVAS, Security Onion)
Hands-on Session-II: Data Science and Python Machine Learning for Time Series Analysis (cybersecurity datasets, designing packet sniffer, preparing datasets, training-validating-testing datasets, reading datasets for data frame analysis, applying data analytics, visualising network and attack statistics)
Hands-on Session-III: Data Analysis, Forensics and Visualization (Tableau, statistical analysis, forensic algorithms (MD5, SHA256, SSDEEP etc.), analysing Window and Linux event logs, Python programming for network, virtualization, mobile and memory forensics, D shell, Scapy, Interactive data visualization (Node.js, D3.js, Chart.js and dc.js) and Visualization tools (ggplot, Bokeh, Plotly, Vega, MetricsGraphics etc.))
In order to successfully execute programming codes, it is mandatory for all participants to bring their laptops with administrator rights. All other resources (codes, books, study material, networking equipment etc.) will be provided by speakers.
All participants must have basic knowledge of C or Python and Linux platform.
This workshop would be useful for the persons from academia and industry who would like to gain expertise and excel their skill set in field of cybersecurity, information security and cryptography.
- Dr. Adarsh Kumar, Department of Systemics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India
- Mr. Saurabh Jain, Department of Systemics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Indian
Dr. Adarsh Kumar received his Master degree (M. Tech) in Software Engineering from Thapar University, Patiala, Punjab, India, in 2005 and earned his PhD degree from Jaypee Institute of Information Technology University, Noida, India in 2016 followed by Post-Doc from Software Research Institute, Athlone Institute of Technology, Ireleand during 2016-2018. From 2005 to 2016, he has been associated with the Department of Computer Science Engineering & Information Technology, Jaypee Institute of Information Technology, Noida, Uttar-Pardesh, India, where he worked as Assistant Professor. Currently, he is working with University of Petroleum & Energy Studies, Dehradun, India as Associate Professor in School of Computer Science. His main research interests are cybersecurity, cryptography, network security, and ad-hoc networks. He has published 35+ research papers in reputed journals, conferences and workshops. He participated in one European Union H2020 sponsored research project and he is currently executing two research projects sponsored from UPES SEED division.
Mr Saurabh Jain received his Master Degree(M.Tech) in Information Security from MANIT,Bhopal Madhya Pradesh,India in 2012,and persuing his PhD in Computer Science & Engineering from University of Petroleum and Energy Studies Dehradun, India, He has worked as an Assistant Professor in Computer Science and Engineering Department at Oriental College of Technology, Bhopal. In the past he has acted as a Head of Department in Computer Science and Engineering Department at Oriental College of Technology, Bhopal. Several other responsibilities that he has undertaken include Remote Center Coordinator of Oriental College of Technology (RC ID: 1123), a Lecturer at department of Information Technology in Bansal Institute of Science & Technology, Bhopal, and currently working as an Assistant Professor in School of Computer Science and (SoCS) at University of Petroleum & Energy Studies, Dehradun. Mr Saurabh has published 15+ research papers in reputed journals and conferences and conducted various International and national conferences, conducted multiple workshops under the mission for training of T10KT through NMEICT IIT Bombay funded by MHRD, Govt. of India. He is a certified QCSP (Quick Heal Academy Certified Cyber Security Professional) in 2018 and his research interest lies in Information, Network and web Security.