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