Dr. Aruna Tiwari

Associate Professor
Department of Computer Science and Engineering,
Indian Institute of Technology Indore
E-mail: artiwari@iiti.ac.in


Selected Publications:

Conference Papers:

  1. Rituraj Kumar Singh, Aruna Tiwari, Santanu Chaudhury, Sanjay Singh, and Sumeet Saurav, Video Classification using SlowFast Network via Fuzzy rule, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, 2021, In Press
  2. Ajay Choudhary, Preeti Jha, Aruna Tiwari, Neha Bharill, and Milind Ratnaparkhe, Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, 2021, In Press
  3. Tarang Kumar Barsiya, Lakshita Bhargava, Aruna Tiwari, Suchitra Agrawal, and Amit Saxena Implementation of Brain Tumor Segmentation using CNN Deep Learning Algorithm 10th International Conference on Soft Computing for Problem Solving - SocProS 2020, Indore, India, 2020 In Press
  4. Shatendra Singh, Aruna Tiwari, and Suchitra Agrawal Differential Evolution Algorithm For Multimodal Optimization:A Short Survey 10th International Conference on Soft Computing for Problem Solving - SocProS 2020, Indore, India, 2020 In Press
  5. Ajay Choudhary, Preeti Jha, Aruna Tiwari and Neha Bharill, A Brief Survey On Concept Drifted Data Stream Regression, 10th International Conference on Soft Computing for Problem Solving - SocProS 2020, Indore, India, 2020, In Press
  6. Vikas Chauhan, Aruna Tiwari, and Shivvrat Arya, Multi-Label classifier based on Kernel Random Vector Functional Link Network, International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-7, 2020
  7. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Neha Nagendra, and Mukkamalla Mounika, Fuzzy-Based Kernelized Clustering Algorithms for Handling Big Data Using Apache Spark, Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications. ICHSA 2020. Advances in Intelligent Systems and Computing, vol 1275. Springer, Singapore, pp. 423-435, 2020
  8. Suchitra Agrawal, Aruna Tiwari, and Ishan Goel, Genetically Optimized Deep Neural Learning for Breast Cancer Prediction, Soft Computing for Problem Solving (SocProS) , Liverpool (UK), 2019, pp. 127--139, 2020
  9. Salim Ullah, Siddharth Gupta, Kapil Ahuja, Aruna Tiwari, Akash Kumar, L2L: A Highly Accurate Log 2 Lead Quantization of Pre-trained Neural Networks, Design, Automation & Test in Europe Conference & Exhibition (DATE), Alpexpo, Grenoble, France, pp. 979-982, 2020
  10. Animesh Chaturvedi, Aruna Tiwari, SysEvoRecomd:Graph Evolution and Change Learning Based System Evolution Recommender, 18th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, 17-20 Nov. 2018, pp. 1499-1500, 2018
  11. Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, Neha Bharill, A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction, IEEE Symposium Series on Computational Intelligence, Bengaluru, India,IEEE SSCI, 18-21 Nov 2018,, pp. 1953-1957, 2018
  12. Harshit Bhardwaj, Aditi Sakalle, Aruna Tiwari, Madhushi Verma, Arpit Bhardwaj, Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach, IEEE Symposium Series on Computational Intelligence, Bengaluru, India,IEEE SSCI, 18-21 Nov 2018, pp. 2186-2192, 2018
  13. Animesh Chaturvedi, Aruna Tiwari, System Evolution Analytics: Evolution and Change Pattern Mining of Inter-Connected Entities, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 7-10 Oct 2018, pp. 3877-3882, 2018
  14. Animesh Chaturvedi, Aruna Tiwari, System Evolution Analytics: Deep Evolution and Change Learning of Inter-Connected Entities, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 7-10 Oct 2018, pp. 3075-3080, 2018
  15. Chandan Gautam, Raman Bansal, Ruchir Garg, Vedaanta Agarwalla, and Aruna Tiwari,, A Fast Adaptive Classification Approach Using Kernel Ridge Regression and Clustering for Non-stationary Data Stream, International Conference on Machine Intelligence and Signal Processing, pp. 739--751, 2018
  16. Neha Bharill, Om Prakash Patel, Aruna Tiwari, and Megha Mantri, On Construction of Multi-class Binary Neural Network using Fuzzy Inter-cluster Overlap for Face Recognition, International Conference on Machine Intelligence and Signal Processing, pp. 657--670, 2018
  17. Vikas Chauhan, Aruna Tiwari, On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning, IEEE Symposium Series on Computational Intelligence, Bengaluru, India,IEEE SSCI, 18-21 Nov 2018, pp. 182-188, 2018
  18. Chandan Gautam, Aruna Tiwari, Alexandros Iosifidis., Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification, IEEE Symposium Series on Computational Intelligence, Bengaluru, India,IEEE SSCI, 18-21 Nov 2018, pp. 389-396, 2018
  19. Vishal Nemade, Aditya Shastri, Kapil Ahuja, Aruna Tiwari, Scaled and Projected Spectral Clustering with Vector Quantization for Handling Big Data, IEEE Symposium Series on Computational Intelligence IEEE SSCI, Bengaluru, India, 18-21 Nov, 2018, pp. 2174-2179, 2018
  20. Chandan Gautam and Aruna Tiwari, Localized Multiple Kernel Support Vector Data Description, International Conference on Data Mining Workshops (ICDMW), Singapore, pp. 1514-1521, 2018
  21. Chandan Gautam, Aruna Tiwari and Sriram Ravindran, Construction of Multi-class Classifiers by Extreme Learning Machine Based One Class Classifiers, International Joint Conference on Neural Networks (IJCNN 2016), Sponsored by the IEEE Computational Intelligence Society (CIS), IEEE WCCI 2016, Vancouver, Canada, 24-29 July 2016, pp. 2001-2007, 2016
  22. Neha Bharill, Aruna Tiwari, Aayushi Malviya, Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark, IEEE BigDataService 2016 Exeter College, Oxford, UK, March 29- April 1, 2016. (IEEE Computer Society Conference), pp. 95-104, 2016
  23. Chandan Gautam, Aruna Tiwari, On The Construction of Extreme Learning Machine for One Class Classifier, The International Conference on Extreme Learning Machines (ELM2015), Hangzhou, China, Oct 2015 , vol. 6, pp. 447-461, 2015
  24. Omprakash Patel, Aruna Tiwari,Ojas Gupta, Vikram Patel , A Quantum-based Neural Network Classifier and its application for Firewall to Detect Malicious Web Request, IEEE Symposium Series on Computational Intelligence, 7-10 Dec. 2015, Captown, South Africa , pp. 67 - 74, 2015
  25. Neha Bharill , Om Prakash Patel, Aruna Tiwari, , An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering, IEEE Symposium Series on Computational Intelligence, 7-10 Dec. 2015, Captown, South Africa , pp. 772 - 779, 2015
  26. Sriram Ravindran, Chandan Gautam, Aruna Tiwari, Keystroke user recognition through Extreme Learning Machine and evolving cluster method , ICCIC 2015 - IEEE International Conference on Computational Intelligence and Computing Research, 10-12 Dec. 2015, Madurai, Tamilnadu, India (Best Paper Award), pp. 1 - 5, 2015
  27. Arpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, M. Ramesh Krishna, An Analysis of Integration of Hill Climbing in Crossover and Mutation Operation for EEG Signal Classification, Genetic and Evolutionary Computation Conference, GECCO, 2015, pp. 209-216, 2015
  28. Omprakash Patel, Aruna Tiwari, Advance Quantum inspired binary neural network algorithm, 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2015), June 1-3, 2015, Takamatsu, Japan, (IEEE Xplore) ., pp. 1-6, 2015
  29. Neha Bharill, Aruna Tiwari, Anshul Rawat, A Novel Technique of Feature Extraction with Dual Similarity Measures for Protein Sequence Classification, Procedia computer Science, vol. 48, pp. 795-801, 2015
  30. Neha Bharill, Aruna Tiwari, A novel technique of feature extraction based on local and global similarity measure for protein sequence classification, International conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS-2015), Libson, Portugal, pp. 219-224, 2015
  31. Om Prakash Patel, Neha Bharill, Aruna Tiwari, A Quantum-Inspired Fuzzy Based Evolutionary Algorithm for Data Clustering, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015)), 2-5 Aug. 2015, Istanbul, Turkey , pp. 1-8, 2015
  32. Omprakash Patel, Aruna Tiwari, Liver Disease Diagnosis using Quantum based Binary Neural Network Learning Algorithm, 4th international conference on Soft Computing for Problem Solving , NIT Silchar, India, (Two Awards: Best Paper in the Track, Overall Best Paper), vol. 336, pp. 421-430, 2014
  33. Arpit Bhardwaj, Aruna Tiwari, M Vishaal Varma, M Ramesh Krishna, An Innovative Genetic Programming Framework in modeling a real time Epileptic Seizure detection system, ASE BigData/SocialInformatics/PASSAT/BioMedCom Conference, Harvard University, pp. 1-10, 2014
  34. Omprakash Patel, Aruna Tiwari, Quantum Inspired Binary Neural Network Algorithm., International Conference on Information Technology (ICIT),Bhubaneswar,India, IEEE , pp. 270-274, 2014
  35. Omprakash Patel, Aruna Tiwari, Quantum Based Learning with Binary Neural Network., International Conference on Computational Intelligence in Data Mining, Sambalpur, India, vol. 32, pp. 473-482, 2014
  36. Arpit Bhardwaj, Aruna Tiwari, M Vishaal Varma, M Ramesh Krishna, Classification of EEG signals using a novel genetic programming approach, GECCO Comp 14 Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, Vancouver, BC Canada , pp. 1297-1304, 2014
  37. Aruna Tiwari, Neha Bharill, Enhanced Cluster Validity Index for the Evaluation of Optimal Number of Clusters for Fuzzy c-Means Algorithm, IEEE World Congress on Computational Intelligence- WCCI, IEEE Computational Intelligence SocietyBeijing International Convention Center, China, July 6-11, 2014, pp. 1526-1523, 2014
  38. Neha Bharill, Aruna Tiwari, Handling Big Data with Fuzzy Based Classification Approach, 3rd Annual World Conference on Soft Computing-WCSC,Texas, USA, vol. 312, pp. 219-227, 2013
  39. Arpit Bhardwaj, Aruna Tiwari, Performance Improvement in Genetic Programming using Modified Crossover and Node Mutation, Genetic and Evolutionary Computation Conference(GECCO) 2013, Amsterdam, The Netherland, vol. ACM 978-1-4503-1964-5/13/07., pp. 1721-22, 2013
  40. Arpit Bhardwaj, Aruna Tiwari, A Novel Genetic Programming Based Classifier Design Using a New Constructive Crossover Operator with a Local Search Technique, Ninth International conference on Intelligent computing (ICIC) 2013,Nanning, China, vol. LNCS 7995, pp. 86-95, 2013