Students

Ph. D.

• Sayantan Nath (Fire Protection in Coal Mine through Image Processing) (Awarded-2017) Co-Supervisor Prof. G. N. Pandey.
• Divya (Twin Support Vector Machine-Multi Class extension and applications) (Awarded-2017)
• Bakshi Rohit Prasad (Machine Learning for Big Data Analytics)(Ongoing)
• Sanjay Sonbhadra (Dimensionality reduction of distributed data for target specific mining) (Joint Supervision with Prof. P. Nagabhushan) (Ongoing)
• Sadhana Tiwari (Dynamic data management in Lifestyle diseases using CPS) (Ongoing)

M. Tech. Students (Ongoing-2021)

• Gaurav Rajput (Hate Speech Detection Using Deep Learning)
• N Nikhil Chakravarthy (Music Generation using Deep Learning)
• Shivam Kasat (Identification of Hematological Alteration and Adverse Respiratory Health Among Agriculture Workers Using Machine Learning Classification Model)
• Sachin Gupta (Image Classification Using Capsule Network)
• Mukul Madaan (One Class Classification using Twin Support Vector Machine)
• Himanshu Batra (Sentiment Analysis For Software Engineering Research)
• Nalla Praveen (Blood Cell Subtype Detection using Deep Learning)
• Harish Rajora (Centralized Medical System)

M. Tech. Students (2020)

• Mohit Rajesh Dandekar (Fruit classification using features from the convolutional layers)
• Uppala Sumanth (Synthesis Of Transfer Learning With End To End Learning For Autonomous Cars)
• Vishal Verna (Anomaly/ Novelty detection using one class classification)
• Kharibam Priyojit Singh (Anomaly detection for streaming data using autoencoder)
• Anand Bihari Gupta (Real-Time Occupancy Detection Processing and Analytics For Smart Building)
• Ujala Singh (Who Will Discuss On Stack Overflow : A Link Prediction Approach With Weighted Temporal Vectors Model In Multi-Dimensional Stack Overflow Network)
• Swapnesh Narayan Azad (Do Open Source Software Ecosystem behave like Natural Ecosystem: An Investigative Study)
• Hariom Niranjan (Use Heterogeneous Information Networks to Rank developers in Open Source Software Ecosystem)

M. Tech. Students (2019)

• Anirban Sarkar An Application of Ensemble Models and Deep Learning in Predictive Analytics
• Prachi Agarwal Gesture Recognition by learning local motion signatures using smartphones
• Umesh Singh Implementation of Iterative Routing-By-Agreement Capsule Network in Large Feature Space
• Akash Verma Anomaly Detection System for Video Surveillance using Deep Multiple Instance Learning with Weakly Labelled Data
• Shubham Swarnkar Aggressive Driving Behaviour classification using Smartphone’s Accelerometer Sensor
• Rajat Sahu Person Tracking with Non-overlapping Multiple Cameras
• Vishesh Middha Concept Drift Detection In Email Dataset Through Intention-Based Segmentation
• Syam Prasad Dhannuri Privacy Control in Online Social Networks by Trust Aware Link Prediction and By Detecting Fake profiles
• Ajay Kumar Pilaniya Integrating WordNet and STS (Semantic Textual Similarity) with Document Object Model (DOM) to detect plagiarism in online articles

M. Tech. Students (2018)

• Devendra Kaushik (Classifying Streaming data in distributed environment)
• Shamshe Alam (Distributed One-Class Support Vector Machine)
• Akash Jain (Predicting customer behaviour through clickstream analysis)
• Rahul Swami (Stream Data Analytics for Smart homes)
• Dhwaj Verma (Cardiac Arrhythmia Detection from single lead ECG using CNN and LSTM)
• Rakesh Das (Vehicle detection and counting using deep neural network)
• Ishu Matil (Affective Computing: Emotion classification of Physiological (EEG) signals)
• Sonali Agrawal (Real Time visualization and Analysis of Big Data)

M. Tech. students (2017)

• Anant Prabhat(Implementing Testing approaches for Complex Event Processing (CFP))
• Dibya jyoti Mahuri(Cloud based mutation testing for distributed system)
• Dhirendra Siddhartha (Root Cause Analysis of Software failure using Log Mining)

M. Tech. Students (2016)

• Neha Garg (Process Mining for Clinical Workflow)
• Suchi Maheshwari (Two-stage software defect prediction using three-way decisions)
• Ravindra Soni (Exploring web application testing techniques)
• Rakesh Kumar Pal (Test Case Minimization using Genetic Algorithm)
• Unmesh Kishore Bendale (Distributed feature selection for big data)

M. Tech. Students (2015)

• Shwet Ketu (A MapReduce Based Advanced Distributed K-means Clustering for Handling Big Data)
• Geetanjali Chaurasia (Clustering based Novel Test Case Prioritization Approach for Regression Testing)
• Anushree Priyadarshini (A MapReduce based Support Vector Machine for Big Data Classification)
• Anubha Sharma (A Comparative model of classifier for Authorship Characterization)
• Harshal Singh (Link Prediction for Co-Authorship in Heterogeneous Network using Stream Classification)
• Preetam Jayaswal (Churn prediction using Tree ensembles)

M. Tech. Students (2014)

• Manoj Kumar (A Clinical Decision Support System for Heart Disease- A Hybrid Approach Using Fuzzy Method and Neural Network)
• Manish Shukla (Hybrid Approach for Tuberculosis Data Classification Using Optimal Centroid Selection Based Clustering)
• Pradeep Saini (Using Clustering coherent rule generation for healthcare data)
• Jitendra (Effective detection of Parkinson’s disease using fuzzy k-nearest neighbor approach)
• Anvita Srivastava (Privacy Preserving Data Mining In Electronic Health Record Using K- Anonymity)

M. Tech Students (2013)

• Shubham Khanna (Study the application of data mining through establishing the pattern of Diabetes disease using SGPGI data)
• Akhilesh Yadav (Study the application of data mining through establishing the pattern of Lung cancer disease using SGPGI data)
• Vijesh Patel (Study the application of data mining through establishing the pattern of Heart Disease using SGPGI data)
• Neha Rathore (Study the application of data mining by establishing the pattern of Breast Cancer Disease and survivability prediction).

M. Tech Students (2012)

• Vishal Mandpe (Mining Software Repositories for Dynamic Fault Prediction)
• Abhinav Lokhande (Mining Software Repositories for Software Change Classification)

M. Tech Students (2011)

• Divya (Support Vector Classification and Regression for Health Data Mining)
• Ruchi Arya (A fuzzy Clustering approach using multi kernel approach)
• Santosh Kumar (SVM Based Data Classification using Multi Kernel approach)

M. Tech Students (2010)

• Sadhna Tiwari (Classification of Datasets using SVM)

Under Graduates (January 2018-June 2018)

• Incremental Dimensionality Reduction for Global Feature Set Extraction
  Rohan MR, Nishant Verma, Raghav Saboo, Harsh Vardhan
  
• Visitor Tracking System, A smart campus initiative
  Ashwin A. Vardhan Abhishek Negi Amit Kumar Ujala Singh Manish Thakur
  
• Human Activity Recognition for automated surveillance system
  Jyotsna Rastogi, Arpit Gupta, Siddharth Acharya, Shikha Singh
  
• Home Automation using IOT
  Prince Kumar Choudhary, Shiv Pratap Singh, Navratna Sharma, Sandeep Kumar
  

Under Graduates (July 2017-December 2017))

• Image annotation using neural networks
  Anupam Jaiswal, Yash Jain, Shivam Awasthi
  
• Market Understanding and Salary Prediction of Engineering Students in India
  Ashwin Aishvarya Vardhan, Amit Kumar, Arpit Lohia, Vishal Verma, Aakash Malik
  
• Music Genre Classification
  Ch. Sarath Chandra Reddy, K. Uday Kumar
  
• Online Signature Verification System
  N. Lavan Kumar, B. Sharath Chandra, B. Priyatham
  
• Email Classification
  Sugreev Prasad, Kushagra Yadav, Abhishek Jaiswal
  
• Object tracking in Video Sequence
  Jyotsna Rastogi, Arpit Gupta, Siddharth Acharya, Shikha Singh
  
• Dictation Correction tool by recognising handwritten text using Deep Learning
  Indresh Attri, Rajat Bir Singh Bajwa, Shobhit Upadhyay, Hariom Niranjan
  
• Training Neural Network to play Super Mario
  Rohan MR, Nishant Verma, Raghav Saboo, Harsh Vardhan
  

Under Graduates (January 2017-May 2017))

• Cross Domain Sentiment Analysis using Transfer Learning
  Bharat Gupta Shivam Awasthi, Rudraksha Gupta, Likhama Ram, Pramod Kumar
  
• Co-Authorship Prediction
  Y.Pranay Kumar, A.Bharadwaju, A.Vamshi Krishna, K.Anudeep
  
• Abnormal Motion Detection for Automated Video Surveillance System
  Gyayak Sanghi, Sagar Deshmukh, Nalin Kanungo
  
• Flight Delay Prediction
  Vishal Chauhan, Ajay Pilaniya, Vishesh middha, Arjit Gupta, Ujjain Bana
  
• News Extraction from Twitter Trendings
  Sachin Agarwal, D. Rajeswar Rao, Saurabh Tanwar
  
• Crowd Activity Classification Using MapReduce framework
  Yash Sharma, Ajay Saini, Shubham Vashishtha, Shubham Swarnkar
  
• Detection of Suspicious Objects using Video Dataset
  Amrita Singh, Sneha Jha
  
• Intrusion Detection
  Vannepuri Praveen Kumar, Shashank Sutihar, Veeresh Gendle
  
• Analysis and identification of brain tumors using Clustering methods
  Akshay Karnwal, Maneesh Kumar Verma, Shankar Yadav
  
• Prediction of Star Ratings from Online Reviews
  Ch. Sarath Chandra Reddy, K. Uday Kumar, J. Dheeraj Keshav
  
• Flight Delay Prediction
  Vishal Chauhan, Ajay Pilaniya, Vishesh middha, Arjit Gupta, Ujjain Bana
  

Under Graduates (July 2016-December 2016))

• Application Of The Complex Event Processing System For Anomaly Detection And Network Monitoring
  Arpit Gupta, Osama Siddiqui, Krishna Agarwal
  
• Machine learning Algorithms Using Mapreduce Framework
  Ashish Kumar Gupta, Prashant Varshney, Abhishek Kumar
  
• Movie Gross Revenue Estimation
  Abhishek Kumar Agrawal, Shubham Bhendarkar, Shaiwal Sachdev
  
• Social Media Mining
  Vannepuri Praveen Kumar, Shashank Sutihar, Veeresh Gendle
  
• Phishing Website Detection Using Neural Network
  Bhoopesh Kumar Goyal, Maneesh Kumar Verma, Shankar Yadav
  
• Automatic Image Annotation for Smart Cities
  Gyayak Sanghi, Sagar Deshmukh, Nalin Kanungo
  
• Home Automation Using Real Time Decision Making For Complex Event Processing
  Sahil Prakash, Shivam Garg, Supriti, Sacheendra Mohan Singh, Sonali Raj
  
• Discovering Social Circles in Ego Network
  Y.Pranay Kumar, A.Bharadwaju, A.Vamshi Krishna, K.Anudeep
  
• Anomalous Activity on Social Networking Site
  Vishal Chauhan, Ajay Pilaniya, Vishesh middha, Arjit Gupta, Ujjain Bana
  
• Complex Event Processing (CEP) In Financial Services: Algorithmic Trading
  Rajat Bhai, Ankur Gupta, Pradeep Nagar
  
• Taxi Travel Time Prediction By Ensemble Of Random Forest And Gradient Boosting Model
  Bharat Gupta Shivam Awasthi, Rudraksha Gupta, Likhama Ram, Pramod Kumar