Dr. Aruna Tiwari

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


Selected Publications:

Conference Papers:

  1. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, A novel feature extraction technique for the clustering of SNP data, International Conference on Vegetable Oils-2023 (ICVO 2023), January 17-21, Hyderabad
  2. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi, Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data, 14th IEEE Symposium Series on Computational Intelligence (SSCI 2023), December 5-8, 2023, Mexico (Accepted),
  3. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Abhishek Tripathi, Preeti Jha, A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences, 14th IEEE Symposium Series on Computational Intelligence (SSCI 2023), December 5-8, 2023, Mexico (Accepted),
  4. Anikeit Sethi, Krishanu Saini, Rituraj Singh, Aruna Tiwari, Sumeet Saurav, Sanjay Singh, Vikas Chauhan, Video Anomaly Latent Training GAN (VALT-GAN): Enhancing Anomaly Detection through Latent Space Mining, 14th IEEE Symposium Series on Computational Intelligence (SSCI 2023), December 5-8, 2023, Mexico (Accepted),
  5. Anikeit Sethi, Krishanu Saini, Rituraj Singh, Aruna Tiwari, Sumeet Saurav, Sanjay Singh, Vikas Chauhan, MAAD-GAN: Memory-Augmented Attention-based Discriminator GAN for Video Anomaly Detection, 8th International Conference on Computer Vision and Image Processing (CVIP 2023), November 03-05, 2023, IIT Jammu (Accepted)
  6. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Uday Kumar Reddy, Shravya Ramasahayam, Machine Learning Algorithm for Soybean Leaf Disease Detection, International Conference on Vegetable Oils-2023 (ICVO 2023), January 17-21, Hyderabad
  7. Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Aruna Tiwari and Davinder Pal Singh, Development of Mobile Application for Ground Water Management, 3rd International Conference on Rural Technology Development and Delivery (RTDD ): RuTAG, pp. 24, March 4-6, 2022.
  8. Parul Mogre, Pranjal Gadge, Niyati Totala, Aruna Tiwari, Neha Bharill and Milnd Ratnaparkhe, Design and Development of a Mobile App for Disease & Insect Identification in Soybean Plants CropDoctor, 3rd International Conference on Rural Technology Development and Delivery (RTDD ): RuTAG, pp. 34, March 4-6, 2022.
  9. Anjali Singhal, Rama Edlabadkar, Sakshi Pandey, Aruna Tiwari and S.K. Saha, Application Development of Smart Vending Cart, 3rd International Conference on Rural Technology Development and Delivery (RTDD ): RuTAG, pp. 33, March 4-6, 2022.
  10. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, and Milind Ratnaparkhe, A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization, International Conference on Neural Information Processing (ICONIP) 2022, Nov 22-26, IIT Indore, India.
  11. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Aditi Chauhan, Namani Sreeharsh, Rapolu Pulakitha, and Sawarkar Saloni, Scalable Feature Extraction and Fuzzy Clustering for Large RNAseq Analysis on High-Performance Computing, IEEE Symposium Series On Computational Intelligence 2022, December 4-7, Singapore (Accepted).
  12. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Rapolu Pulakitha, and Aditi Chauhan, High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data, IEEE Symposium Series On Computational Intelligence 2022, December 4-7, Singapore (Accepted).
  13. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Sawarkar Saloni, and Namani Sreeharsh, HPC based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data, International Conference on Neural Information Processing (ICONIP) 2022, Nov 22-26, IIT Indore, India (Accepted).
  14. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, and Tanmay Singh, Scalable Deep Fuzzy Clustering Algorithm for Protein Data, 19th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology,Ottawa, Canada, pp. 1-8, 2022.
  15. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Soundarya Lahari Solasa, A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm, IEEE International Conference on Big Data and Smart Computing, Daegu, Korea, 2022.
  16. 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, pp. 1-6 2021
  17. 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, pp. 1-6 2021,
  18. Shatendra Singh, Aruna Tiwari, Suchitra Agrawal Differential Evolution Algorithm for Multimodal Optimization: A Short Survey, Soft Computing for Problem Solving (SocProS), IIT Indore, India, 18-20 Dec 2020, pp. 747-756, 2021
  19. Tarang Kumar Barsiya, Lakshita Bhargava, Suchitra Agrawal, Aruna Tiwari, Amit Saxena Implementation of Brain Tumor Segmentation Using CNN Deep Learning Algorithm, Soft Computing for Problem Solving (SocProS) , IIT Indore, India, 18-20 Dec 2020, pp. 757-765, 2021
  20. 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) IIT Indore, India, 18-20 Dec 2020, pp. 733-744, 2021
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. Chandan Gautam and Aruna Tiwari, Localized Multiple Kernel Support Vector Data Description, International Conference on Data Mining Workshops (ICDMW), Singapore, pp. 1514-1521, 2018
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. Omprakash Patel, Aruna Tiwari, Quantum Inspired Binary Neural Network Algorithm., International Conference on Information Technology (ICIT),Bhubaneswar,India, IEEE , pp. 270-274, 2014
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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