Indian Institute of Information Technology

Dr. Annushree Bablani

Assistant Professor

Office Address:

2nd Floor, Academic Building
Department of Computer Science and Engineering,
Indian Institute of Information Technology, Sri City, Chittoor
Andhra Pradesh - 517 646, India.

Academic Qualifications

Education:

NATIONAL INSTITUTE OF TECHNOLOGY GOA

PhD (COMPUTER SCIENCE AND ENGINEERING), June 2020.
Thesis Title: Modeling and Simulation of Brain Computer Interface for Concealed Information Test

Research Areas of Interest

Brain Computer Interface, EEG data classification, Artificial Neural Networks, Machine Learning

Awards / Honours

Projects

Publications

Journals

  • A Synergistic Concealed Information Test With Novel Approach for EEG Channel Selection and SVM Parameter Optimization, Annushree Bablani,  Damodar Reddy Edla, DiwakarTripathi, ShubhamDodia, Sridhar Chintala, IEEE Transaction on Information forensics and security. 2019, 1556-6013.
  • Survey on Brain Computer Interface: An Emerging Computational Intelligence Paradigm, Annushree Bablani,Damodar Reddy Edla, DiwakarTripathi, RamalingaswamyCheruku, ACM Computing Survey. 2018, 0360-0300
  • An efficient Concealed Information Test: EEG feature extraction and ensemble classification for lie identification, Annushree Bablani, Damodar Reddy Edla, DiwakarTripathi, VenkatanareshbabuKuppili, Machine Vision and Applications. 2018.
  • A Multi-Stage Concealed Information Test using k-Means and Feed Forward Neural Network.  Annushree Bablani, Damodar Reddy Edla, VenkatanareshbabuKuppili, Dharavath Ramesh.Clinical Epidemiology and Global Health, 2020.
  • Intelligent-ANFIS Model for Predicting Measurement of Surface Roughness and Geometric Tolerances in 3-axis CNC Milling,  Kannadasan K, Damodar Reddy Edla, Manisha H. Yadav, Annushree Bablani,IEEE Transactions on Instrumentation and Measurement, March 2020.
  • Evolutionary Extreme Learning Machine with novel activation function for credit scoring, DiwakarTripathi, Damodar Reddy Edla, VenkatanareshbabuKuppili, Annushree Bablani, Engineering Applications of Artificial Intelligence, Volume 96, 103980, ISSN 0952-1976, Oct 2020.
  • A Hybrid Approach for Extracting EMG signals by Filtering EEG Data for IoT Applications for Immobile PersonsAmanKurapa, DarshitaRathore, Damodar Reddy Edla, Annushree Bablani&VenkatanareshbabuKuppili, Wireless Persersonal Communication, Springer(2020).
  • Brain computer interface for measuring the impact of yoga on concentration levels in engineering students. Shinde, Hemendra Vijay, Devashri Manohar Patil, Damodar Reddy Edla, Annushree Bablani, and MalkauthekarMahananda. Journal of Intelligent & Fuzzy Systems(2020).
  • EEG Data Classification for Mental State Analysis using Wavelet Packet Transform and Gaussian Process Classifier. Rahul Desai, Pratik Porob, PenjoRebelo, Damodar Reddy Edla, Annushree Bablani,  Wireless Persersonal Communication, Springer(2020).
  • Brain Computer Interface: A Comprehensive Survey, Neha Tiwari, Damodar Reddy Edla, ShubhamDodia, Annushree Bablani. Biologically Inspired Cognitive Architectures. 2018
  • Lie Detection using Extreme Learning Machine: A Concealed Information Test based on Short-Time Fourier Transform and Binary Bat Optimization using a Novel Fitness Function, ShubhamDodia, Damodar Reddy Edla, Annushree Bablani, RamalingaswamyCheruku, Wiley computational Intelligence. 2019
  • An Efficient EEG based Deceit Identification Test using Wavelet Packet Transform and Linear Discriminant Analysis, ShubhamDodia, Damodar Reddy Edla, Annushree Bablani, VenkatanareshbabuKuppili, Journal of Neuroscience Methods. 2019.

Conferences

  • Prediction of Performance Indexes in CNC Milling Using Regression Trees.  Kalidasan K., Edla D.R., Bablani A. (2019) In: Deka B., Maji P., Mitra S., Bhattacharyya D., Bora P., Pal S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2019. Lecture Notes in Computer Science, vol 11941. Springer, Cham
  • Subject based Deceit Identification using Empirical Mode Decomposition, A Bablani, DR Edla, D Tripathi, K Venkatanareshbabu, Procedia Computer Science 132, 32-39. 2018
  • Classification of EEG Data using k-Nearest Neighbor approach for Concealed Information Test, Annushree Bablani, Damodar Reddy Edla, ShubhamDodia, 8th International Conference on Advances in Computing and Communication (ICACC-2018)
  • Deceit Identification Test on EEG Data using Deep Belief Network, Annushree Bablani, Damodar Reddy Edla, VenkatanareshbabuKuppili, 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT)”. 2018
  • Credit Scoring Model based on Weighted Voting and Cluster based Feature Selection, D Tripathi, DR Edla, V Kuppili, A Bablani, R Dharavath, Procedia Computer Science 132, 22-31. 2018
  • Novel Fitness Function for 3D Image reconstruction using Bat Algorithm based Autoencoder, VenkatanareshbabuKuppili, Damodar Reddy Edla, and Annushree Bablani. The 23rd International ACM Conference on 3D Web Technology (Poster). 2018.
  • Relative Performance Evaluation of Ensemble Classification with Feature Reduction in Credit Scoring Datasets, D Tripathi, R Cheruku, A  Bablani, Advances in Machine Learning and Data Science, 293-304. 2017.
  • A Review on Methods Applied on P300-Based Lie Detectors, A Bablani, D Tripathi, Advances in Machine Learning and Data Science, 251-257. 2017

Students

Teaching

Contact Information

Address for Communication:

2nd Floor, Academic Building
Department of Computer Science and Engineering,
Indian Institute of Information Technology, Sri City, Chittoor
Andhra Pradesh - 517 646, India.