Dr. Sonali Agarwal

Assistant Professor, Indian Institute of Information Technology, Allahabad, India
 

  Contact Details

  Dr. Sonali Agarwal
  Assistant Professor
  Room No.: 2122, CC1 Building

  Indian Institute of Information   Technology Allahabad
  Devghat Jhalwa
  Allahabad (UP) INDIA

  Phone: 0532-2922111
  Web: www.sonaliagarwal.com

  E Mail: sonali@iiita.ac.in
  E Mail: raiagarwalsonali@gmail.com
  


      
  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) (submitted)
  • Vimal Updhyay (Development of remotely operable automated device for thickness measurement and monitoring of overhead pipes)
  • Bakshi Rohit Prasad (Machine Learning for Big Data Analytics)

M. Tech. Final Year

  • 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)

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

Past Students

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)