Workshops at Data Science Congress – 29 May 2018

Access: Platinum Pass & Premium Workshop Pass

Please Note: Our Premium workshop & Platinum pass Delegate can choose either Hall #4 workshop or Hall #5 workshop for Full Day. Cannot switch two workshops for example Hall #4 delegate cannot access Hall#5 workshop since one will miss the flow of the workshop

Hall # 5

Deep Learning Fundamentals

Type: Premium | Duration: Half Day | Certificate: Yes | Date: 29 May 2018 | Time: 10:00 AM to 1:00 PM


This hands-on workshop will provide an introduction to deep learning to the participants who are already aware of data science and machine learning techniques but have not worked on deep learning.  The course will cover the different types of network architectures that make the foundations of deep learning.

Following topics will be covered:

1. What is deep learning and what are the use cases of it?

2. Introduction to Feed Forward Neural Networks  including the hands-on session

3. Building an Image Classifier using Convolutional Natural Networks

4. Applying Recurrent Neural Network and LSTM Network for text classification

5. How to build your own deep learning projects?

Prerequisites:

Participants need to have basic data science knowledge and a basic understanding of Python, and iPython Network.

Prerequisite software:

Keras, Tensorflow, Python 3.5 and IPython installed on your computer. If you want to use a VM provided by us with all the required software, then no software installation is needed. 

Laptop configuration with OS:

Students should bring a laptop with Virtualbox (or VMWare) installed, 4GB of RAM and 10GB of storage.

DSC Hall : Hall 5

Instructor: Dr. Satnam Singh, Chief Data Scientist, Acalvio Technologies

Certification: Aegis School of Data Science

Practical Approach to Deep Learning with Google TensorFlow

Type: Premium | Duration: Half Day | Certificate: Yes | Date: 29 May 2018 | Time: 2:00 PM to 6:00 PM


Agenda: 

  • Introduction to Deep Neural Network
  • Design Approach for Business Use Cases
  • Developing Deep Neural Network (CNN, RNN) with TensorFlow
  • Testing Deep Neural Networks
  • Hyper parameter Tuning for Deep Neural Networks

Software requirement:

JetBrains PyCharm Community Edition, Python 3.x, Google TensorFlow

No specific Laptop configuration required

DSC Hall : Hall 5

Instructor: Mr. Utpal Chakraborty

Certification: Aegis School of Data Science

Hall # 4

Enterprise search – the rise of NLP, NLU and NLG to augment IR

Type: Premium | Duration: Half Day | Certificate: Yes | Date: 29 May 2018 | Time: 10:00 AM to 1:00 PM


Agenda: 

  • Enterprise search – what is it? past, present, future
  • Knowledge engineering and enterprise search – modeling and indexing of enterprise data and knowledge
  • Information retrieval
  • NLU – interpreting search intent
  • NLG – interpreting knowledge back to user
  • Usecases – Chatbot, Cognitive search etc.

No specific Laptop configuration or Software required

DSC Hall : Hall 4

Instructor: Dr. Soudip Roy Chowdhury

Certification: Aegis School of Data Science

Security Data Science Bootcamp

Type: Premium | Duration: Half Day | Certificate: Yes | Date: 29 May 2018 | Time: 2:00 PM to 6:00 PM


Agenda:

This hands-on session will provide an introduction to information security data science to the participants who are already aware of data science and machine learning techniques but have not worked on real-world problems.  The course will cover the entire data science pipeline in Information Security from data preparation, exploratory data analysis, data visualization, machine learning, model evaluation. 

Following topics will be covered:

1. What are the data sources and use cases for security data science?

2. How to preprocess raw security data using Splunk and visualize data using queries in Splunk?

3. How to build a data processing pipeline in Python and iPython notebook to find anomalous network behavior and endpoints?

In the Bootcamp, we will do several hands-on data experiments on InfoSec use cases: 

a. Data exfiltration detection using anomaly detection 

b. Detect Command and Control (C&C) Center

Prerequisites:

Participants need to have basic data science knowledge and a basic understanding of Python.

Prerequisite software:

Splunk, Python 2.7 and IPython installed.  

Laptop configuration with OS:

Virtualbox (or VMWare) installed, 4GB of RAM and 10GB of storage.

DSC Hall : Hall 4

Instructor: Dr. Satnam Singh

Certification: Aegis School of Data Science

Access: Standard Workshop Pass | Pro Pass | Platinum Pass

Please Note: Delegate can choose either Hall #3 workshop or Hall #2 workshop for Full Day. Cannot switch two workshops for example Hall #3 delegate cannot access Hall#2 workshop since one will miss the flow of the workshop

Hall # 3

Hands-on Introduction to SPARK

Type: Standard | Duration: Full Day | Certificate: Yes | Date: 29 May 2018 | Time: 10:00 AM to 6:00 PM


Agenda:

  • SPARK – Introduction, Basic Concepts and Environment, Applications
  • Basics of SPARK programming using Python
  • SPARK Datasets, Dataframes and SQL programming
  • SPARK Streaming and Machine Learning: Hands-on Introduction

Pre-requisite:

Good working knowledge or experience with Python programming language is essential to participate in this workshop.

Software Requirement:

Delegate need to install the latest version of Oracle Virtual Box and import a virtual machine (VM) that will be provided a  days before the workshop.

Laptop configuration:

Laptop with minimum 4 GB RAM. 8 GB or more preferred

DSC Hall: Hall 3

Instructor: Dr. Vinay Kulkarni

Certification: Aegis School of Data Science

Hall # 2

Machine Learning Using R

Type: Standard| Duration: Full Day | Certificate: Yes | Date: 29 May 2018 | Time: 10:00 AM to 6:00 PM


Objectives:
1. Introduce the basic concepts of Machine Learning with a focus on different types of algorithms
2. Provide hands on implementation experience on sample problems
3. Make participants aware about machine learning tools and frameworks
4. Provide an overview of key machine learning application areas
Outline:
Introduction and landscape
Supervised Learning (hands-on)
Unsupervised Learning (hands-on)
Other types of Learning (hands-on)
Pre-requisites:
R-Studio

DSC Hall: Hall 2

Instructor: Dr Shamsuddin Ladha

Certification: Aegis School of Data Science

Access: Standard Workshop Pass | Pro Pass | Platinum Pass

Hall # 1

Cognitive Analytics Using IBM Watson

Type: Standard| Duration: Half Day | Certificate: Yes | Date: 29 May 2018 | Time: 10:00 AM to 1:00 PM


Agenda:

  • Introduction
  • Industry examples/demo in Life Sciences like Cognitive Medical Assist
  • Demo of WA and WASM
  • Classroom exercise on WA with sample data

No specific Software or Hardware requirement

DSC Hall: Hall 1

Instructor: Ms. Sharmila Das

Certification: Aegis School of Data Science

Recommendation Science

Type: Standard| Duration: Half Day | Certificate: Yes | Date: 29 May 2018 | Time: 2:00 AM to 5:00 PM

 


Software requirement:

  • Anaconda with Python 3

Laptop Configuration:

  • The configuration would be i5 with 8 GB ram and any OS

Pre-reading material:

Need basic understanding of Python, jupyter and anaconda, some links below

DSC Hall: Hall 1

Instructor: Mr. Bhavik Ghandhi

Certification: Aegis School of Data Science

Key Talks & Panel Discussions 30th May 2018

Data Science Congress Main Stage

DSC Auditorium | Access only to Platinum & Pro Delegate

Inauguration of 2018 Edition | Time: 10:30 AM to 10:45 AM

Inauguration of Data Science Congress 2018 edition. Opening Act Malkamb Act a traditional Indian sport in which a gymnast performs aerial yoga postures and wrestling grips in concert with a vertical stationary pole and rope


Hon’ble Minister Opening Speech | Time: 10:45 AM to 11:00 AM

Hon’ble Minister Shri Vijay Goel, Hon’ble Minister of State for Statistics and Programme Implementation, Government of India


Grand discussion on Building data-driven organisation | Time: 11:00 AM to 1:00 PM

Grand discussion with organisation perspective on how to build a data-driven organisation.

Panel Chairman: Dr. Abhijit Gangopadhyay, Dean, Aegis School of Data Science, Cyber Security and Telecom; Founding Dean IIM Indore; Former Dean, Tata Institute of Social Sciences

Academia Perspective: Bhupesh Daheria, CEO, Aegis School of Data Science, Cyber Security and Telecom

HR Perspective:

NASIR SHAIKH, Director of Human Resources at Atos

AYASKANT SARANGI, Senior Vice President Human Resources at Wipro

ANAND KHOT, HR Location Leader, IBM

Data-Driven Companies Perspective:

PARITOSH ANAND, Vice President & Group Head Analytics & Strategic Initiatives, Reliance Industries 

KALLOL KANUNGO, CEO, Convergent Communications India

NITIN SAREEN, SVP Head Analytics Solutions, Innovations and Delivery, Aditya Birla*

AJOY SINGH, COO, Fractal Analytics*


Leaders Lunch & Delegate Lunch | Time: 1:00 PM to 2:00 PM


Data in Politics – A perspective | Time: 2:00 PM to 2:30 PM

PRAVEEN CHAKRAVARTY Chairman, Data Analytics Department, Indian National Congress


Machine Learning for Eyecare  | Time: 2:30 PM to 2:45 PM

DR MANISH GUPTA, Principal Applied Researcher, Microsoft R&D India

As part of the Digital India effort at Microsoft, recently we have been working on multiple projects which apply machine learning for eye-care. This work is being done in close collaboration with various major eye-care providers in India including LVPEI, and Sankara Nethralaya. In this talk, I will discuss various projects that we have been working on with them. Such projects include surgery outcome prediction, forecasting, image classification using deep learning, and domain-specific NLP.


The Rise of Virtual Logistics. Magic in MotionTime: 2:45 PM to 3:00 PM

NISHITH RASTOGI, Founder & CEO, Locus.sh

The complicated journey of a package from the first mile to the last mile and the several critical challenges at each point. The importance and relevance of virtual logistics. The unprecedented use of AI and automated decision making in the supply chain. The impact of latest innovations-the magic in motion.


Data Science for Telecom | Time: 3:00 PM to 4:00 PM

A unique format of the panel discussion where each speaker is given 8 minutes of speaking slot addressing domain specific challenges and thy solutions with Data Science  

Context by: Bhupesh Daheria, CEO, Aegis School of Data Science, Cyber Security and Telecom

Speakers: 

RAJAN S MATHEWS, Director General, Cellular Operators Association of India (COAI)

DR. SANTANU BHATTACHARYA, Chief Data Scientist, Airtel

DR. PAUL PALLATH, Head Big Data Analytics, Vodafone India

TAREQ AMIN, Senior Vice President, Technology Development & Automation, Reliance Jio


Tea Break | Time: 4:00 PM to 4:30 PM


Beyond the Hypes and Myths, will AI Deliver its Promise to Change CyberSecurity? | Time: 4:30 PM to 4:45 PM

Dr Satnam Singh, Chief Data Scientist, Acalvio Technologies

In this keynote, Dr. Singh will discuss enterprise security areas where AI can change the InfoSec. The talk will start with a discussion on why there is a surge in data breaches, and cybersecurity attacks? It will cover some of the InfoSec use cases where AI is helping the security defense team to detect the data breaches and threats. Finally, the talk will also look into the requirement of “Security Data Scientists” to automate the manual analysis done by security analysts


Key Talk by Credit Vidhya | Time: 4:45 PM to 5:00 PM

Dr. Satya Gautam Vadlamudi, Head of Data Science and Artificial Intelligence, CreditVidya


Data Science for Banking | Time: 5:00 PM to 6:00 PM

A unique format of the panel discussion where each speaker is given 8 minutes of speaking slot addressing domain specific challenges and thy solutions with Data Science  

Context by: Bhupesh Daheria, CEO, Aegis School of Data Science, Cyber Security and Telecom

Speakers: 

AMIT SAXENA, Deputy CTO, SBI

MEHUL BHAGADIA, Head Global Analytics Center, JP Morgan Chase

ANAND SUNDARAM, Head of Analytics, Yes Bank

ABHISHEK SAXENA, Vertical Head, Analytics Marketing Unit, HDFC Bank

Data Science Congress Main Stage

DSC Auditorium | Access only to Platinum & Pro Delegate

Joint Talk on AI Task Force: Opening Talk by Hon’ble Minister | Time: 10:00 AM to 10:30 AM

Hon’ble Minister Shri Suresh Prabhu, Minister of Commerce & IndustryGovernmentnt of India


Highlights of AI Task Force report on India Readiness for AI | Time: 10:30 AM to 11:00 AM

Dr. Kamakoti Veezhinathan, Chairman, Artificial Intelligence Task Force constituted by Ministry of Commerce and Industry, Government of India


IT Secretariat Panel Discussion | Time: 11:00 AM to 12:00 PM

Panel Chairman: Dr. Avik Sarkar, Head Analytics Cell, NITI Aayog, Government of India

IT Secretary:

J A CHOWDARY, Special Chief Secretary & IT Advisor to the Chief Minister – Government of Andhra Pradesh

JAYESH RANJAN (I.A.S) Principal Secretary to Government of Telangana, Industries & Commerce (I&C) Department, & Information Technology, Electronics and Communications (ITE&C) Department.

Shri. M. SIVASANKAR (I.A.S), Secretary, Department of Electronics and Information Technology, Government of Kerala*

Shri S. V. R. SRINIVAS, Principal Secretary (Information Technology), Government of Maharashtra*


Data Science for Insurance| Time: 12:00 PM to 1:00 PM

A unique format of the panel discussion where each speaker is given 8 minutes of speaking slot addressing domain specific challenges and thy solutions with Data Science  

Context by: Bhupesh Daheria, CEO, Aegis School of Data Science, Cyber Security and Telecom

Speakers: 

GUNJAN GUPTA, SVP & Head of Analytics at Bajaj Allianz Life Insurance

SAURABH AWASTHI, Head of Analytics, Cigna TTK Insurance

SAYAN SEN, Head Data Labs, HDFC Life

Dr. KAUSHIK MITRA, Chief Data Officer, AXA Business Services*


Leaders Lunch & Delegate Lunch | Time: 1:00 PM to 2:00 PM


The State of BI and Analytics: The Move From Visualisations To Automated Insights Generation. | Time: 2:00 PM to 2:15 PM

NEERAV PAREKH, CEO, V-Phrase


Future Data Scientist  | Time: 2:15 PM to 2:30 PM

SATYAKAM MOHANTY, CEO, Lymbc


Key Talk by IBM | Time: 2:30 PM to 2:45 PM

ANINDYA GHOSH, Global Watson Health Leader, IBM India


Machine learning for cancer detection | Time: 2:45 PM to 3:00 PM

DR. GEETHA MANJUNATH, Co-founder and CEO of NIRAMAI Health Analytix


Data Science for Health| Time: 3:00 PM to 4:00 PM

A unique format of the panel discussion where each speaker is given 8 minutes of speaking slot addressing domain specific challenges and thy solutions with Data Science  

Context by: Bhupesh Daheria, CEO, Aegis School of Data Science, Cyber Security and Telecom

Speakers: 

VENEETH PURUSHOTAMAN, CIO, Fortis Healthcare

SUMIT SINGH, VP CIO, Wockhardt Hospital Limited

NANDKISHOR DHOMNE, CIO, Manipal Enterprise

SUMIT PURI, CIO, Max Healthcare


Tea Break | Time: 4:00 PM to 4:30 PM


Bixby: Samsung’s Voice Intelligence Journey | Time: 4:30 PM to 4:45 PM

DR VIKRAM VIJ, Senior VP, Samsung Research

Bixby is an intelligent, personalized voice interface for your phone. It lets you seamless switch between voice & type/touch, and supports more than 75 domains (eg. Camera, Gallery, Messages, WhatsApp, Youtube, Uber etc.). It was launched in July 2017 for English and is now available on more than 200 countries with about 8 million registered users. The talk focuses on challenges in deep learning for Bixby Automatic Speech Recognition & Natural Language understanding, ranging from CNN vs. RNNs, Word vs. Character based models, Domain Classification challenges given the massive contextual input space, Grammar complexity, Multi-modal and Multi-accent handling. We go into details of hierarchical classification, session based classification, intent rejection logic… Also about the tradeoffs between RNNs and CNNs, Optimal filter sizes for CNNs, Handling variations of data and conflicts between data. Also go into use of Transfer learning and Biligual models for Bixby for Hindi


Key Talk by Tatras Data | Time: 4:45 PM to 5:00 PM

DR. SARABJOT SINGH ANAND, Co-Founder and Chief Data Scientist at Tatras Data


Panel Discussion on Cyber Security | Time: 5:00 PM to 6:00 PM

A unique format of the panel discussion where each speaker is given 8 minutes of speaking slot addressing domain specific challenges and thy solutions with Data Science  

Context by: Bhupesh Daheria, CEO, Aegis School of Data Science, Cyber Security and Telecom

Speakers: 

VAIDYANATHAN IYER, Business Unit Executive, IBM Security – Asia Pacific

MUKESH JAIN, CTO, VFS Global

RAJESH MAURYA, Regional Vice President – India & SAARC, Fortinet*

SHRIKANT SHITOLE, Country Head, FireEye*

Data Science Congress Main Stage

DSC Auditorium | Access only to Platinum & Pro Delegate

IBM Career Education & Aegis School of Data Science joint initiative | Time: 10:30 AM to 11:00 AM

Bhupesh Daheria, CEO, Aegis School of Data Science, Cyber Security and Telecom


LIVE DEMO still image to creating stories with Deep Learning | Time: 10:30 AM to 10:45 AM


LIVE DEMO Video Surveillance Analytics | Time: 10:45 AM to 11:00 AM


Getting Data Science to the EXECUTION Mode| Time: 11:00 AM to 11:15 AM

Shailendra Kumar, Vice President and Chief Evangelist, SAP

With an experience of over 23 years in the field of data science and delivering over 1 Billion Dollars in incremental value, Shailendra will showcase how organisations from different industries are utilising data science to make money in the new age digital world. Shailendra will deep-dive into a couple of usecases, which are excuted across industries to explain the power of data science when used alongside with business execution.


Key Talk for IBM| Time: 11:15 AM to 12:00 PM

Dr. Vijay Muralidharan, Global Advanced Analytics & AI Practise Leader


Data-driven Marketing | Time: 12:00 PM to 1:00 PM

A unique format of the panel discussion where each speaker is given 8 minutes of speaking slot addressing domain specific challenges and thy solutions with Data Science  

Context by: Bhupesh Daheria, CEO, Aegis School of Data Science, Cyber Security and Telecom

Speakers: 

MUFFAZZAL ARIF, AVP Marketing Analytics, HDFC Bank

ROOPESH PETTIKATIL, National Head Marketing Analytics, Bajaj Finserv*

PRATHAM HEGDE, Head of Marketing Sciences India, Facebook*


Leaders Lunch & Delegate Lunch | Time: 1:00 PM to 2:00 PM


Deep Learning by NVIDIA. | Time: 2:00 PM to 2:15 PM

SUNDARA RAMALINGAM NAGALINGAM, ‎Head – Manufacturing and Energy Segments, NVIDIA


Key Talk by Embibe | Time: 2:15 PM to 2:30 PM

ADITI AVASTHI., CEO, Embibe


Key Talk on Speech Analytics | Time: 2:30 PM to 2:45 PM

UMESH SACHDEV, co-founder and CEO, Uniphore Software Systems.


Key Talk by Data Weave | Time: 2:45 PM to 3:00 PM


Data Science for Media & Entertainment | Time: 3:00 PM to 4:00 PM

A unique format of the panel discussion where each speaker is given 8 minutes of speaking slot addressing domain specific challenges and thy solutions with Data Science  

Context by: Bhupesh Daheria, CEO, Aegis School of Data Science, Cyber Security and Telecom

Speakers: 

UJJYAINI MITRA, Head Analytics and AVP Strategy, Viacom18 Media Pvt Ltd

VENKAT NETTIMI, EVP Head of Strategy and Consumer Insights, Zee Entertaintment

KAUSHIK DAS, Executive Vice President of Big Data and Data Science, Star India


Tea Break | Time: 4:00 PM to 4:30 PM

Research Presentation

DSC Research Hall | 30 May to 1 June 2018

Human Disguised Emotion Identification Using Deep Learning Techniques

Researcher: Gayathri K |  Time: 10:30 AM to 10:50 AM | Q/A: 10:50 AM to 11:00 AM


Image Retrieval: Practical Approach for Marketing and Publishing

Researcher: Sanjay Kukreja, Ashwini Bhole, Prashant Desai & Gokulraj Perumal |  Time: 11:00 AM to 11:20 AM | Q/A: 11:20 AM to 11:30 AM


Comparative Study of Text Representations for Sentiment Classification

Researcher: Sanket Ostwal, Anup Mahindrea, Neeraj Ganu |  Time: 11:30 AM to 11:50 AM | Q/A: 11:50 AM to 12:00 PM


The Adoption of a Three Dimensional Business Intelligence System in the Age of Big Data

Researcher: Dhriti Malviya & Himanshu Upadhyay |  Time: 12:00 PM to 12:20 PM | Q/A: 12:20 PM to 12:30 product


Product Sentiment Classification and Visualization using Neural Network

Researcher: Tushar Upadhyay, SayantanSaha & Diya Venugopal |  Time: 12:30 PM to 12:50 PM | Q/A: 12:50 PM to 1:00 PM


Graph-neys: a graph framework for representing online journeys, implementation & inference

Researcher: Shamshu Dharwez Saganvali & Nishanth Nakshatri |  Time: 2:30 PM to 2:50 PM | Q/A: 2:50 PM to 3:00 PM


An Approach For Forecast Prediction In Data Analytics Field By Tableau Software

Researcher: Bibhudutta Jena |  Time: 3:00 PM to 3:20 PM | Q/A: 3:20 PM to 3:30 PM


nClasser – Entity Analytics Solution on Hadoop

Researcher: Niraj Patkar, Mayur Kaloge, Sanjeev Kumar, Sandip Didwania |  Time: 4:00 PM to 4:20 PM | Q/A: 4:20 PM to 4:30 PM


Waste Management using Data Analytics and IoT

Researcher: Himani Shah & Harsh Gupta |  Time: 4:30 PM to 4:50 PM | Q/A: 4:50 PM to 5:00 PM


Research Presentation

DSC Research Hall | 30 May to 1 June 2018

Stock Market Analysis for the trend during Demonetization using Soft Computing Methods

Researcher: Rashmi Bhardwaj & Aashima Bangia |  Time: 10:30 AM to 10:50 AM | Q/A: 10:50 AM to 11:00 AM


Reinforcement Learning: AI that creates AI

Researcher: Atul Singh, Vishal Kumar & Shashank Hegde |  Time: 11:00 AM to 11:20 AM | Q/A: 11:20 AM to 11:30 AM


When Shall The Twain Meet?

Researcher: Amit K Dasgupta |  Time: 11:30 AM to 11:50 AM | Q/A: 11:50 AM to 12:00 PM


Eye Ball Movement Based Cursor Using Raspberry Pi

Researcher: Dayakar Reddy Naradla ,T.H. Feiroz khan, T.Gopikrishna, T.Sai Dheeraj, Shaik Mohammed Shahid |  Time: 12:00 PM to 12:20 PM | Q/A: 12:20 PM to 12:30 PM


GSM Controlled Energy Meter

Researcher: Ankita Paul, Shiny Bhatnagar, Ankit Giri, Veni N |  Time: 12:30 PM to 12:50 PM | Q/A: 12:50 PM to 1:00 PM


Water Management: Current & Future Challenges And Research Directions

Researcher: Raju Verma|  Time: 2:00 PM to 2:20 PM | Q/A: 2:20 PM to 2:30 PM


Detecting Semantic Change using Word Vector Representations

Researcher: Balamurali,Prachetos Sadhukhan, Vasudevan N |  Time: 2:30 PM to 2:50 PM | Q/A: 2:50 PM to 3:00 PM


Discovering knowledge from smart meter data using competitive learning methods

Researcher: Ankit Mahato, Ashita Prasad |  Time: 3:00 PM to 3:20 PM | Q/A: 3:20 PM to 3:30 PM


Automated Parking Management system using Number plate recognition using Vision API mapped with local database

Researcher: Yashwanth Krishna & S.Indhumathi |  Time: 4:00 PM to 4:20 PM | Q/A: 4:20 PM to 4:30 PM


Survey on Facial Expression Recognition

Researcher: Ruba P.H, Zachariah C, Alex, Gayathri |  Time: 4:30 PM to 4:50 PM | Q/A: 4:50 PM to 5:00 PM


Research Presentation

DSC Research Hall | 30 May to 1 June 2018

Study Of Experience And Level Of Satisfaction Of Businessmen After Implementation Of Goods And Service Tax (GST).

Researcher: Yash Bothra |  Time: 10:30 AM to 10:50 AM | Q/A: 10:50 AM to 11:00 AM


Digital Innovations in Indian Agribusiness: Trends and Challenges

Researcher: Siddharth Batra,Vidhi Batra |  Time: 11:00 AM to 11:20 AM | Q/A: 11:20 AM to 11:30 AM


Secure PowerShell: A Machine Learning System to Defend Against Obfuscated PowerShell Scripting Attacks

Researcher: Mohammad Waseem,Arunabha Choudhury, Satnam Singh |  Time: 11:30 AM to 11:50 AM | Q/A: 11:50 AM to 12:00 PM


Cause & Effect based Machine Learning Model for Manufacturing Defect Reduction

Researcher: Siddhartha Mishra |  Time: 12:00 PM to 12:20 PM | Q/A: 12:20 PM to 12:30 PM


Human Heart Disease Prediction System Using Data Mining: Tools and Techniques

Researcher: Aashna Sharma,Pratyush Pal, Uma Devi|  Time: 12:30 PM to 12:50 PM | Q/A: 12:50 PM to 1:00 PM


Design of IoT systems and analytics for urban development initiatives in India

Researcher: Sandip Rakshit, Aditi Aljapurkar, Apparay Raikar|  Time: 2:00 PM to 2:20 PM | Q/A: 2:20 PM to 2:30 PM


Development of machine learning algorithm for new product development using TRIZ Tool

Researcher: Juned Aslam Maner |  Time: 2:30 PM to 2:50 PM | Q/A: 2:50 PM to 3:00 PM


Polego: A Data Science Approach to Predict the Outcome of a Football match

Researcher: Sourabh Swain, Shriya Mishra |  Time: 3:00 PM to 3:20 PM | Q/A: 3:20 PM to 3:30 PM


Opinion Spam Detection using SemiSupervised Learning

Researcher: Suryakant S, Nidhi Singh , Sushila Maheshkar|  Time: 4:00 PM to 4:20 PM | Q/A: 4:20 PM to 4:30 PM


The study and analysis of comments on the RevisionOnTheGo Apps

Researcher: Antharva Kimbahune, Niharika Srivastav |  Time: 4:30 PM to 4:50 PM | Q/A: 4:50 PM to 5:00 PM


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