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Prof. Aruna Tiwari · IIT Indore

Research Publications

Peer-reviewed papers, books, and patents

Publication Overview

62+SCI Journal Papers
63+Conference Papers
9Books & Chapters
7Patents (2 Granted)

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📗 Books & Book Chapters

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Edited Books (2021)

  1. Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, Proceedings of SocProS 2020, Volume 1, ISBN 978-981-16-2709-5, 2021. Editors: Aruna Tiwari, Kapil Ahuja, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar
  2. Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, Proceedings of SocProS 2020, Volume 2, ISBN 978-981-16-2712-5, 2021. Editors: Aruna Tiwari, Kapil Ahuja, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar

Book Chapters

  1. Chandan Gautam, Raman Bansal, Ruchir Garg, Vedaanta Agarwalla, Aruna Tiwari, A Fast Adaptive Classification Approach Using Kernel Ridge Regression and Clustering for Non-stationary Data Stream, e-book: Advances in Intelligent Systems and Computing, M. Tanveer, R. Pachori, Springer, Singapore, 978-981-13-0923-6, 2018
  2. Neha Bharill, Om Prakash Patel, Aruna Tiwari, Megha Mantri, On Construction of Multi-class Binary Neural Network Using Fuzzy Inter-cluster Overlap for Face Recognition, e-book: Advances in Intelligent Systems and Computing, M. Tanveer, R. Pachori, Springer, Singapore, 978-981-13-0922-9, 2018
  3. Om Prakash Patel, Aruna Tiwari, Liver Disease Diagnosis using Quantum based Binary Neural Network Learning Algorithm, e-book: Advances in Intelligent Systems and Computing, K. N. Das, Springer-Verlag Berlin Heidelberg, 978-81-322-2220-0, 2014
  4. Om Prakash Patel, Aruna Tiwari, Quantum Based Learning with Binary Neural Network, e-book: Smart Innovation, Systems and Technologies, L. C. Jain, Springer-Verlag Berlin Heidelberg, 978-81-322-2208-8, 2014
  5. Neha Bharill, Aruna Tiwari, Handling Big Data with Fuzzy Based Classification Approach, e-book: Studies in Fuzziness and Soft Computing, Mo Jamshidi, Vladik Kreinovich, Janusz Kacprzyk, Springer International Publishing Switzerland, 978-3-319-03673-1, 2014
  6. Arpit Bhardwaj and Aruna Tiwari, A Novel Genetic Programming Based Classifier Design Using a New Constructive Crossover Operator with a Local Search Technique, e-book: Lecture Notes in Computer Science book series, De-Shuang Huang, Vitoantonio Bevilacqua, Juan Carlos Figueroa, Prashan Premaratne, Springer-Verlag Berlin Heidelberg, 978-3-642-39479-9, 2013
  7. Narendra S Chaudhari, Aruna Tiwari, Neural Information Processing: Research and Development Extension of Binary Neural Networks for Multi-class Output and Finite Automata, ISBN 978-3-540-39935-3, 2004

📄 Papers in Journals (62+)

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Peer-reviewed journals including: IEEE Transactions (Artificial Intelligence, Big Data, Emerging Topics in Computational Intelligence), Elsevier (Applied Soft Computing, Neural Networks, Information Sciences, Knowledge-Based Systems, Engineering Applications of AI, Computers and Electrical Engineering), Springer (Journal of Supercomputing, Applied Intelligence, Soft Computing, Signal Processing, etc.)

  1. Shilpy Kaur and Aruna Tiwari, "Proximal Vision Transformer", Expert Systems With Applications, Elsevier, 2026 Published June 2026
  2. Vikas Chauhan and Aruna Tiwari, "TimeResLSTM: A Hybrid Deep Learning Architecture for Short Term Traffic Flow Forecasting", IEEE Transactions on Computational Social Systems, 2025
  3. S P Sharmila, Shubham Gupta, Aruna Tiwari, and Narendra S Chaudhari, "Unveiling Evasive Portable Documents with Explainable Kolmogorov Arnold Networks Resilient to Generative Adversarial Attacks", Applied Soft Computing, Elsevier, Volume 182, 2025 (SCI IF 6.6)
  4. Suhas Hedge and Aruna Tiwari, "TexStFusion: a controllable diffusion model using textural, structural, and textual feature fusion", Signal, Image and Video Processing, Springer, Volume 19, Article 471, 2025
  5. Vikas Chauhan, Aruna Tiwari, and Arun Kumar, "An attention mechanism-based hybrid Time Attention BiLSTM architecture for long-term traffic forecasting", The Journal of Supercomputing, Springer, Volume 81, Article 471, 2025
  6. Achint Kumar, Aruna Tiwari, Rajesh Dwivedi, and Preeti Jha, "A Scalable method for extracting features using a complex network from SNP sequences and clustering using the Scalable Max of Min Algorithm", Soft Computing, Springer, 2025 (SCI IF 2.5)
  7. Sujata Gudge, Aruna Tiwari, Milind Ratnaparkhe, and Preeti Jha, "On construction of Data Preprocessing for Real-Life SoyLeaf Dataset & disease identification using Deep Learning Models", Computational Biology and Chemistry, Elsevier, 2025 (SCI IF 3.1)
  8. Abhishek Tripathi, Aruna Tiwari, Narendra S Chaudhari, Milind Ratnaparkhe, Neha Bharill, Preeti Jha, and Rajesh Dwivedi, "Scalable alignment-free feature extraction approach for genome data and their cluster analysis", Multimedia Tools and Applications, Springer, 2025
  9. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Saurabh Kumar Singh, and Abhishek Tripathi, "A novel chemical property-based, alignment-free scalable feature extraction method for genomic data clustering", Computers and Electrical Engineering, Elsevier, Volume 123, 2025 (SCI IF 4.0)
  10. S P Sharmila, Shubham Gupta, Aruna Tiwari, and Narendra S Chaudhari, "Leveraging Memory Forensic Features for Explainable Obfuscated Malware Detection with Isolated Family Distinction Paradigm", Computers and Electrical Engineering, Elsevier, Volume 123, 2025 (SCI IF 4.0)
  11. Abhishek Tripathi, Aruna Tiwari, Milind Ratnaparkhe, Narendra Chaudhari, and Rajesh Dwivedi, "Enhancing K-means Clustering Performance with a Two-Stage Hybrid Preprocessing Strategy", Arabian Journal for Science and Engineering, Springer, 2024
  12. Ananya Roy, Aruna Tiwari, Sanjay Singh, and Sumeet Saurav, "Enhancing skeleton-based action recognition using a knowledge-driven shift graph convolutional network", Computers and Electrical Engineering, Elsevier, Volume 120, 2024 (SCI IF 4.0)
  13. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, and Alok Kumar Tiwari, "A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges", The Journal of Supercomputing, Springer, 2024 (SCI IF 2.5)
  14. Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, and Sanjay Singh, "CVAD-GAN: Constrained video anomaly detection via generative adversarial network", Image and Vision Computing, Elsevier, 2024 (SCI IF 4.7)
  15. Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, and Sanjay Singh, "Attention-guided Generator with Dual Discriminator GAN for Real-time Video Anomaly Detection", Engineering Applications of Artificial Intelligence, Elsevier, Vol. 131, 2024 (SCI IF 8.0)
  16. Suchitra Agrawal, Aruna Tiwari, Bhaskar Yaduvanshi, and Prashant Rajak, "Differential evolution with nearest better clustering for multimodal multiobjective optimization", Applied Soft Computing, Elsevier, Vol. 148, 2023
  17. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Rishabh Soni, Rahul Mahbubani, and Saket Kumar, "An incremental clustering method based on multiple objectives for dynamic data analysis", Multimedia Tools and Applications, Springer, 2023
  18. Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, and Sanjay Singh, "VALD-GAN: Video Anomaly detection using Latent Discriminator augmented GAN", Applied Intelligence, Springer, 2023
  19. Rituraj Singh, Krishanu Saini, Anikeit Sethi, Aruna Tiwari, Sumeet Saurav, and Sanjay Singh, "STemGAN: Spatio-Temporal Generative Adversarial Network for Video Anomaly detection", Signal, Image and Video Processing, Springer, 2023
  20. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Parul Mogre, Pranjal Gadge, and Kethavath Jagadeesh, "A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data", The Journal of Supercomputing, Springer, 2023
  21. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, and Milind Ratnaparkhe, "A Novel Clustering-Based Hybrid Feature Selection Approach Using Ant Colony Optimization", Arabian Journal for Science and Engineering, Springer, Vol. 48, pp. 10727-10744, 2023
  22. Suchitra Agrawal, Aruna Tiwari, Bhaskar Yaduvanshi, and Prashant Rajak, "Feature Subset Selection using Multimodal Multiobjective Differential Evolution", Knowledge-Based Systems, Elsevier, Vol. 265, 2023
  23. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, and Neha Nagendra, "Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis", International Journal of Data Science and Analytics, Springer, 2023
  24. Vikas Chauhan, Aruna Tiwari, Boppudi Venkata, and Vislavath Naik, "Tackling over-smoothing in multi-label image classification using graphical convolution neural network", Evolving Systems, Springer, 2022
  25. Suchitra Agrawal and Aruna Tiwari, "Solving multimodal optimization problems using adaptive differential evolution with archive", Information Sciences, Elsevier, Vol. 612, 2022
  26. Vikas Chauhan and Aruna Tiwari, "Pairnorm based Graphical Convolution Network for zero-shot multi-label classification", Engineering Applications of Artificial Intelligence, Elsevier, Vol. 114, 2022
  27. Vikas Chauhan and Aruna Tiwari, "Randomized neural networks for multilabel classification", Applied Soft Computing, Elsevier, Vol. 115, 2022
  28. Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi, and Pietro Lio, "System Neural Network: Evolution and Change based Structure Learning", IEEE Transactions on Artificial Intelligence, Vol. 3(3), 2022
  29. Vikas Chauhan, Aruna Tiwari, Niranjan Joshi, and Sahaj Khandelwal, "Multi-label classifier for protein sequence using heuristic-based deep convolution neural network", Applied Intelligence, Springer, Vol. 52, 2022
  30. M. Tanveer, Aruna Tiwari, Rahul Choudhary, and Mudasir Ahmad Ganaie, "Large-scale pinball twin support vector machines", Machine Learning, Springer, Vol. 111, 2022
  31. Pratik Kumar Mishra, Chandan Gautam, and Aruna Tiwari, "Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification", Neural Computing and Applications, Vol. 33, 2021
  32. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Mukkamalla Mounika, and Neha Nagendra, "A Novel Scalable Kernelized Fuzzy Clustering Algorithm Based on In-Memory Computation for Handling Big Data", IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 5(6), 2021
  33. Om Prakash Patel, Neha Bharill, Aruna Tiwari, and Mukesh Prasad, "A Novel Quantum-inspired Fuzzy Based Neural Network for Data Classification", IEEE Transactions on Emerging Topics in Computing, Vol. 9(2), 2021
  34. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Mukkamalla Mounika, and Neha Nagendra, "Scalable Incremental Fuzzy Consensus Clustering Algorithm for Handling Big Data", Soft Computing, Springer, Vol. 25, 2021
  35. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Mukkamalla Mounika, and Neha Nagendra, "Apache Spark Based Kernelized Fuzzy Clustering Framework for Single Nucleotide Polymorphism Sequence Analysis", Computational Biology and Chemistry, Elsevier, Vol. 92, 2021
  36. Suchitra Agrawal, Aruna Tiwari, Prathamesh Naik, and Arjun Srivastava, "Improved Differential Evolution based on Multi-Armed Bandit for Multimodal Optimization Problems", Applied Intelligence, Springer, Vol. 51, 2021
  37. Animesh Chaturvedi, Aruna Tiwari, Dave Binkley, and Shubhangi Chaturvedi, "Service Evolution Analytics: Change and Evolution Mining of a Distributed System", IEEE Transactions on Engineering Management, Vol. 68, 2021
  38. Chandan Gautam, Aruna Tiwari, Pratik Kumar Mishra, Suresh Sundaram, Alexandros Iosifidis, and M. Tanveer, "Graph-embedded multi-layer kernel ridge regression for one-class classification", Cognitive Computation, Vol. 13, 2021
  39. Animesh Chaturvedi, Aruna Tiwari, and Shubhangi Chaturvedi, "SysEvoRecomd: Network Reconstruction by Graph Evolution and Change Learning", IEEE Systems Journal, Vol. 14(3), 2020
  40. Siddharth Gupta, Salim Ullah, Kapil Ahuja, Aruna Tiwari, and Akash Kumar, "ALigN: A Highly Accurate Adaptive Layerwise Log 2 Lead Quantization of Pre-trained Neural Networks", IEEE Access, Vol. 8, 2020
  41. Neha Bharill, Aruna Tiwari, Aayushi Malviya, Om Prakash Patel, Akahansh Gupta, Deepak Puthal, Amit Saxena, and Mukesh Prasad, "Fuzzy knowledge based performance analysis on big data", Neurocomputing, Elsevier, Vol. 389, 2020
  42. Animesh Chaturvedi and Aruna Tiwari, "System Network Complexity: Network Evolution Subgraphs of System State Series", IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 4(2), 2020
  43. Chandan Gautam, Aruna Tiwari, and M. Tanveer, "AEKOC+: Kernel Ridge Regression-based Auto-Encoder for One-class Classification using Privileged Information", Cognitive Computation, Springer, Vol. 12, 2020
  44. Chandan Gautam, Pratik Kumar Mishra, Aruna Tiwari, Bharat Richhariya, H.M. Pandey, S. Wang, and M. Tanveer, "Minimum Variance-Embedded Deep Kernel Regularized Least Square Method for One-class Classification and Its Applications to Biomedical Data", Neural Networks, Elsevier, Vol. 123, 2020
  45. Vikas Chauhan, Raghvendra Gaur, Aruna Tiwari, and Anupam Shukla, "Real-time BigData and Predictive Analytical Architecture for healthcare application", Sadhana, Springer, Vol. 44, 2019
  46. Chandan Gautam, Aruna Tiwari, and M. Tanveer, "KOC+: Kernel Ridge Regression based One-class Classification using Privileged Information", Information Sciences, Elsevier, Vol. 504, 2019
  47. Om Prakash Patel, Neha Bharill, Aruna Tiwari, Vikram Patel, O. Gupta, Jian Cao, J. Lin, and Mukesh Prasad, "Advanced Quantum based Neural Network Classifier and its Application for Objectionable Web Content Filtering", IEEE Access, Vol. 7, 2019
  48. Neha Bharill, Om Prakash Patel, Aruna Tiwari, Lifeng Mu, Dong-Lin Li, Manoranjan Mohanty, Omprakash Kaiwartya, and Mukesh Prasad, "A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering", IEEE Access, Vol. 7, 2019
  49. Chandan Gautam, Aruna Tiwari, Sundaram Suresh, and Kapil Ahuja, "Adaptive Online Learning With Regularized Kernel for One-Class Classification", IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 51(3), 2019
  50. Animesh Chaturvedi, Aruna Tiwari, and Nicolas Spyratos, "minStab: Stable Network Evolution Rule Mining for System Changeability Analysis", IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 5(2), 2019
  51. Chandan Gautam, Ramesh Balaji, Sudharsan K., Aruna Tiwari, and Kapil Ahuja, "Localized Multiple Kernel learning for Anomaly Detection: One-class Classification", Knowledge-Based Systems, Vol. 165, 2019
  52. M. Tanveer, Aruna Tiwari, Rahul Chaudhary, and Sanchit Jalan, "Sparse Pinball Twin Support Vector Machines", Applied Soft Computing, Elsevier, Vol. 78, 2019
  53. Neha Bharill, Aruna Tiwari, Ayushi Malviya, and Milind Ratnaparkhe, "Protein Superfamily Classification Using a Novel Three Stage Feature Extraction Approach", International Journal of Computational Intelligence and Applications, 2018
  54. Harshit Bhardwaj, Aditi Sakalle, Arpit Bhardwaj, and Aruna Tiwari, "Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming", Wiley Expert System, Vol. 36(1), 2018
  55. Om Prakash Patel, Aruna Tiwari, and Vinay Bagade, "Quantum inspired Stacked Auto-encoder based Deep Neural Network Algorithm (Q-DNN)", Arabian Journal for Science and Engineering, Vol. 43(12), 2018
  56. Om Prakash Patel, Aruna Tiwari, Rishabh Chaudhary, Sai Vidyaranya Nuthalapati, Neha Bharill, Mukesh Prasad, Farookh Khadeer Hussain, and Omar Khadeer Hussain, "Enhanced Quantum Based Neural Network Learning and its Application to Signature Verification", Soft Computing, Springer, Vol. 23(9), 2017
  57. Neha Bharill, Om Prakash Patel, and Aruna Tiwari, "Quantum-Inspired Evolutionary Approach for Selection of Optimal Parameters of Fuzzy Clustering", International Journal of System Assurance Engineering and Management, Vol. 9(4), 2017
  58. Chandan Gautam and Aruna Tiwari, "On the construction of extreme learning machine for online and offline one-class classification An expanded toolbox", Neurocomputing, Vol. 261, 2017
  59. Neha Bharill, Aruna Tiwari, and Aayushi Malviya, "Fuzzy Based Scalable Clustering Algorithms for Handling Big data using Apache Spark", IEEE Transactions on Big Data, Vol. 2(4), 2016
  60. Om Prakash Patel and Aruna Tiwari, "Novel Quantum Inspired Binary Neural Network Algorithm", Sadhana - Academy Proceedings in Engineering Sciences, Springer, Vol. 41(11), 2016
  61. Arpit Bhardwaj and Aruna Tiwari, "A Genetically Optimized Neural Network Model for Multi-class Classification", Expert Systems With Applications, Elsevier, Vol. 60, 2016
  62. Arpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, and M. Ramesh Krishna, "A Novel Genetic Programming Approach for Epileptic Seizure Detection", Computer methods and programs in biomedicine, Elsevier, Vol. 124, 2016
  63. Arpit Bhardwaj and Aruna Tiwari, "Breast cancer diagnosis using Genetically Optimized Neural Network model", Expert Systems with Applications, Elsevier, Vol. 42, 2015

🎤 Papers in International Conference Proceedings (63+)

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Peer-reviewed international conferences including IEEE WCCI, IJCNN, ECAI, ICONIP, FUZZ-IEEE, SSCI, ICDM, SMC, and more

  1. S P Sharmila and Aruna Tiwari, "Leakage-Free Multiclass Stacked Ensemble of Functional and Rule-Based Models", 2026 IEEE World Congress on Computational Intelligence (WCCI), Maastricht, Netherlands (A-ranked)—Accepted
  2. Kishan Kumar Yadav, Aruna Tiwari, Pavan Kumar Kankar, Rajesh Dwivedi, Satya Prakash Kumar, Shashi Rawat, and Milind Ratnaparkhe, "Hybrid Late Fusion for UAV RGB Soybean Disease Detection and Spray Decision Support", 2026 IEEE World Congress on Computational Intelligence under IJCNN, Maastricht, Netherlands (A-ranked)—Accepted
  3. Suhas G. Hegde, Shilpy Kaur, and Aruna Tiwari, "VectorFit: Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models", 2025 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, Volume 413, (A-ranked)
  4. S P Sharmila, Amiti Sharma, Swati Chaudhari, Aruna Tiwari, and Narendra S Chaudhari, "MaxVote Classifier-Based Diversified Ensemble Model for Identifying Malicious Activity with Few-Shot API Data", 2024 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering, December 06-07, Chennai, India
  5. Abhishek Tripathi, Rajesh Dwivedi, Ashutosh Samantaray, Madhav Kadam, Aruna Tiwari, and Narendra S Chaudhari, "Scalable Distributed Laplacian Score for Feature Selection", 31st International Conference on Neural Information Processing (ICONIP 2024), December 02-06, Auckland, New Zealand
  6. Anikeit Sethi, Rituraj Singh, Neha Jakhar, Kanchi Pardhi, Krishanu Saini, Aruna Tiwari, Sumeet Saurav, and Sanjay Singh, "Enhancing Image Style Transfer with PAIN-GAN: A Dual-Stream Encoder Incorporating GAN", 31st International Conference on Neural Information Processing (ICONIP 2024), December 02-06, Auckland, New Zealand
  7. Rituraj Singh, Anikeit Sethi, Hritika Gautam, Mitika Bhadada, Krishanu Saini, Aruna Tiwari, Sumeet Saurav, and Sanjay Singh, "iMAppGAN: Integrated Motion Appearance Generative Adversarial Networks for Video Anomaly Detection", 31st International Conference on Neural Information Processing (ICONIP 2024), December 02-06, Auckland, New Zealand
  8. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, and 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
  9. 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
  10. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Abhishek Tripathi, and 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
  11. Anikeit Sethi, Krishanu Saini, Rituraj Singh, Aruna Tiwari, Sumeet Saurav, Sanjay Singh, and 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
  12. Sharmila S P, Aruna Tiwari, and Narendra S Chaudhari, "Obfuscated Malware Detection Using Multi-Class Classification", 2023 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM 2023), November 02-04, Mysuru, India
  13. Anikeit Sethi, Krishanu Saini, Rituraj Singh, Aruna Tiwari, Sumeet Saurav, Sanjay Singh, and 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
  14. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Uday Kumar Reddy, and Shravya Ramasahayam, "Machine Learning Algorithm for Soybean Leaf Disease Detection", International Conference on Vegetable Oils-2023 (ICVO 2023), January 17-21, Hyderabad
  15. 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, March 4-6, 2022
  16. Parul Mogre, Pranjal Gadge, Niyati Totala, Aruna Tiwari, Neha Bharill, and Milind 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, March 4-6, 2022
  17. 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, March 4-6, 2022
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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, 2022
  23. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, and 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
  24. 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
  25. 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
  26. Shatendra Singh, Aruna Tiwari, and Suchitra Agrawal, "Differential Evolution Algorithm for Multimodal Optimization: A Short Survey", Soft Computing for Problem Solving (SocProS), IIT Indore, India, 18-20 Dec 2020
  27. Tarang Kumar Barsiya, Lakshita Bhargava, Suchitra Agrawal, Aruna Tiwari, and 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
  28. 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
  29. 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
  30. 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", 6th International Conference on Harmony Search, Soft Computing and Applications (ICHSA 2020), 2020
  31. 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
  32. Salim Ullah, Siddharth Gupta, Kapil Ahuja, Aruna Tiwari, and Akash Kumar, "L2L: A Highly Accurate Log 2 Lead Quantization of Pre-trained Neural Networks", Design, Automation & Test in Europe Conference & Exhibition (DATE), Grenoble, France, 2020
  33. Animesh Chaturvedi and Aruna Tiwari, "SysEvoRecomd: Graph Evolution and Change Learning Based System Evolution Recommender", 18th IEEE International Conference on Data Mining Workshops (ICDM), Singapore, 17-20 Nov. 2018
  34. Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, and Neha Bharill, "A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction", IEEE Symposium Series on Computational Intelligence, Bengaluru, India, 18-21 Nov 2018
  35. Harshit Bhardwaj, Aditi Sakalle, Aruna Tiwari, Madhushi Verma, and Arpit Bhardwaj, "Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach", IEEE Symposium Series on Computational Intelligence, Bengaluru, India, 18-21 Nov 2018
  36. Animesh Chaturvedi and 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
  37. Animesh Chaturvedi and 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
  38. 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, 2018
  39. 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, 2018
  40. Vikas Chauhan and 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, 18-21 Nov 2018
  41. Chandan Gautam, Aruna Tiwari, and Alexandros Iosifidis, "Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification", IEEE Symposium Series on Computational Intelligence, Bengaluru, India, 18-21 Nov 2018
  42. Vishal Nemade, Aditya Shastri, Kapil Ahuja, and Aruna Tiwari, "Scaled and Projected Spectral Clustering with Vector Quantization for Handling Big Data", IEEE Symposium Series on Computational Intelligence, Bengaluru, India, 18-21 Nov 2018
  43. Chandan Gautam and Aruna Tiwari, "Localized Multiple Kernel Support Vector Data Description", International Conference on Data Mining Workshops (ICDMW), Singapore, 2018
  44. 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), IEEE WCCI 2016, Vancouver, Canada, 24-29 July 2016
  45. Neha Bharill, Aruna Tiwari, and 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
  46. Chandan Gautam and 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
  47. Omprakash Patel, Aruna Tiwari, Ojas Gupta, and Vikram Patel, "A Quantum-based Neural Network Classifier and its application for Firewall to Detect Malicious Web Request", IEEE Symposium Series on Computational Intelligence, Capetown, South Africa, 7-10 Dec. 2015
  48. Neha Bharill, Om Prakash Patel, and Aruna Tiwari, "An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering", IEEE Symposium Series on Computational Intelligence, Capetown, South Africa, 7-10 Dec. 2015
  49. Sriram Ravindran, Chandan Gautam, and Aruna Tiwari, "Keystroke user recognition through Extreme Learning Machine and evolving cluster method", ICCIC 2015 - IEEE International Conference on Computational Intelligence and Computing Research, Madurai, Tamilnadu, India, 10-12 Dec. 2015 (Best Paper Award)
  50. Arpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, and 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
  51. Omprakash Patel and 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
  52. Neha Bharill, Aruna Tiwari, and Anshul Rawat, "A Novel Technique of Feature Extraction with Dual Similarity Measures for Protein Sequence Classification", Procedia Computer Science, Vol. 48, 2015
  53. Neha Bharill and 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), Lisbon, Portugal, 2015
  54. Om Prakash Patel, Neha Bharill, and Aruna Tiwari, "A Quantum-Inspired Fuzzy Based Evolutionary Algorithm for Data Clustering", IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Istanbul, Turkey, 2-5 Aug. 2015
  55. Omprakash Patel and 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, 2014
  56. Arpit Bhardwaj, Aruna Tiwari, M Vishaal Varma, and 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, 2014
  57. Omprakash Patel and Aruna Tiwari, "Quantum Inspired Binary Neural Network Algorithm", International Conference on Information Technology (ICIT), Bhubaneswar, India, IEEE, 2014
  58. Omprakash Patel and Aruna Tiwari, "Quantum Based Learning with Binary Neural Network", International Conference on Computational Intelligence in Data Mining, Sambalpur, India, Vol. 32, 2014
  59. Arpit Bhardwaj, Aruna Tiwari, M Vishaal Varma, and 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, Vancouver, BC Canada, 2014
  60. Aruna Tiwari and 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), Beijing, China, July 6-11, 2014
  61. Neha Bharill and Aruna Tiwari, "Handling Big Data with Fuzzy Based Classification Approach", 3rd Annual World Conference on Soft Computing (WCSC), Texas, USA, 2013
  62. Arpit Bhardwaj and Aruna Tiwari, "Performance Improvement in Genetic Programming using Modified Crossover and Node Mutation", Genetic and Evolutionary Computation Conference (GECCO) 2013, Amsterdam, The Netherlands, 2013
  63. Arpit Bhardwaj and 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, 2013

🔏 Patents (7)

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Granted Patents (2)

  1. Sign Language Gesture Recognition System
    Inventors: Kunal Chaudhary, Ashok Pencily Poothiyat, Aruna Tiwari
    Application No: 1988/MUM/2015 | Filed: 20/05/2015 | Granted: 27/02/2024 | Patent No: 515732
  2. Smart Road Asset Management System and Method Thereof
    Inventors: Dr. Ashish Verma, Dr. Aruna Tiwari, Dr. Neetesh Kumar, Sanjay Patidar, Upendra Singh
    Application No: 202041057251 | Filed: 30/12/2020 | Granted: 22/07/2023 | Patent No: 440090

Patent Applications Under Processing (5)

  1. A Video Incident Detection System and Method for Real Time Highway Surveillance and Traffic Monitoring
    Inventors: Indian Institute of Technology Indore
    Application No: 202621074590 | RNA Ref: I5039-00141 | Filed: 16/06/2026 | Status: Filed
  2. Genomic Visualization and Assembly Tool for Soybean and other Oil Seed Crops
    Inventors: Prof. Aruna Tiwari, Dr. Milind B. Ratnaparkhe, Dr. Preeti Jha, Dr. Giriraj Kumawat, Dr. Gyanesh Kumar Satpute, Dr. Savita Kohle, Dr. Kunwar Harendra Singh, Mrs. Rupal Bula, Mr. Avasheen Shishir Temurkar
    Status: Processing
  3. Video Incident Detection System (VIDS)
    Inventors: Prof. Aruna Tiwari, Dr. Sanjay Singh, Dr. Sumeet Saurav, Dr. Rituraj, Mr. Anikeit Sethi, Mr. Aditya Chandle
    Status: Processing
  4. Automated Groundwater Monitoring and Predictive Intelligence System
    Inventors: Dr. Suraj Bhat, Prof. Aruna Tiwari, Dr. Rajesh Dwivedi, Dr. Subir Kumar Saha, Mr. Drishaan Prasad, Mr. Mohan Raj
    Filed: 18/12/2025 | Status: Processing
  5. Krishi Sewa - A Mobile App for Farmers to Help Them in Agriculture Activities
    Inventors: Prof. Aruna Tiwari, Dr. Shashi Rawat, Dr. P.M. Govindakrishnan, Mr. Krish Agarwal, Ms. Divya Agarwal, Mr. Yash Vashistha, Dr. Rajesh Dwivedi
    Application No: 202521109662 | Filed: 11/11/2025 | Status: Processing
  6. Agri-Genomics Data Management Platform, Method, and System for Plant Genome Analysis
    Inventors: Prof. Aruna Tiwari, Dr. Milind B. Ratnaparkhe, Mr. Arun Sharma, Dr. Preeti Jha, Mr. Achint Kumar Kansal
    Application No: 202521024267 | Filed: 06/10/2025 | Status: Processing

Copyrights (2)

  1. Groundwater Management App - Co-copyrighted with IIT Delhi (RuTAG Initiative). App developed by IIT Indore under supervision of Prof. Aruna Tiwari in collaboration with RuTAG IIT Delhi. Presented to AARDO member countries (Sudan, Namibia, Zambia, Ghana) on 28 Sept 2022.
  2. CropDoctor - Mobile App for Disease & Insect Identification in Soybean Plants - Under copyright process. To be used by ICAR-IISR Indore for crop disease detection and management.

📊 Complete Publication Database: For the most up-to-date and comprehensive list of all publications with citations and impact metrics, please visit Prof. Aruna Tiwari's Google Scholar Profile

Conference Rankings Reference: For evaluating conference quality, see the CORE Computer Science Conference Rankings — listing A+, A, B, and C ranked CS conferences maintained by the CORE Computing Research and Education Association.