Vani Hiremani

Dedicated education professional with several years of academic experience, specializing in student assessment, curriculum development, and innovative teaching strategies. Passionate about fostering meaningful learning experiences, and committed to supporting student growth through engaging, challenging coursework.

• Computer Organization & Architecture
• Web Technology
• Programming for Problem Solving
• Programming for Problem Solving Lab
• Data Structure using C
• Object-Oriented Programming Language
• Database Management System
• Database Management System Lab
• Design Analysis & Algorithm
• Computer Forensics
• Cyber Applications
• Network Basics
• Research Methodology
• Software Engineering

1. R. M. Devadas, V. Hiremani, Preethi, S. T. Sowmya, S. R. Sapna, and P. Gujjar, “Hypercomplex Neural Networks: Exploring Quaternion, Octonion, and Beyond in Deep Learning,” MethodsX, vol. 15, Article 103644, 2025. DOI: 10.1016/j.mex.2025.103644.

2. V. Kochari, S. S. Sannakki, P. K. Sonwalkar, P. N. Kunchur, and V. Hiremani, “Spectral-Spatial Feature Construction with Hybrid Classifier for Hyperspectral Object Classification,” in Proc. INASS, Mar. 2025, pp. 609–615.

3. N. S. Rani, K. R. Bhavya, A. Vadivel, T. Vasudev, R. M. Devadas, and V. Hiremani, "A Novel Curriculum Learning Training Strategy for Pomegranate Growth Stage Classification Using YOLO Models on Multi-Source Datasets for Precision Agriculture," in IEEE Access, vol. 13, pp. 112594-112622, 2025, doi: 10.1109/ACCESS.2025.3581794.

4. Vani Hiremani, Raghavendra M. Devadas, Preethi, R. Sapna, T. Sowmya, Praveen Gujjar, N. Shobha Rani, K.R. Bhavya, Federated learning for crop yield prediction: A comprehensive review of techniques and applications, MethodsX, Volume 14, 2025, 103408, ISSN 2215-0161, https://doi.org/10.1016/j.mex.2025.103408.

5. Preethi, Murthy, D.H.R., Hiremani, V. et al. Optimizing Polynomial and Regularization Techniques for Enhanced Housing Price Prediction Accuracy. SN COMPUT. SCI. 6, 96 (2025). https://doi.org/10.1007/s42979-024-03578-7.

6. Raghavendra M. Devadas, Vani Hiremani, K.R. Bhavya, N. Shobha Rani, Stochastic calculus-guided reinforcement learning: A probabilistic framework for optimal decision-making, MethodsX, Volume 12, 2024, 102790, ISSN 2215-0161, https://doi.org/10.1016/j.mex.2024.102790.

7. Gupta, A. ., Singh, A. ., Jani, M. ., Salaria, Y. ., Hiremani, V. ., Gonge, S. ., & Kotecha, K. . (2023). Diabetes Prediction and Apprehension with Focus Both on Clinical and Non-Clinical Factors. International Journal of Intelligent Systems and Applications in Engineering, 12(1), 746–755.

8. Raghavendra M. Devadas, Vani Hiremani, Integrating Dropout and Kullback-Leibler Regularization in Bayesian Neural Networks for improved uncertainty estimation in Regression, MethodsX, Volume 12, 2024, 102659, ISSN 2215-0161, https://doi.org/10.1016/j.mex.2024.102659.

9. Raghavendra M Devadas, Vani Hiremani, Ranjeet Vasant Bidwe, Bhushan Zope, Veena Jadhav and Rohini Jadhav. “Identifying Factors in Congenital Heart Disease Transition using Fuzzy DEMATEL”. International Journal of Advanced Computer Science and Applications (IJACSA) 14.12 (2023). http://dx.doi.org/10.14569/IJACSA.2023.0141218

10. Raghavendra M Devadas, Vani Hiremani, “Prognosis Of Idiopathic Parkinsonism Using Support Vector Machine And Random Forest Classifiers”, Journal of Pharmaceutical Negative Results, pp. 4457–4462, Dec. 2022, doi: 10.47750/pnr. 2022.13.S08.571.

11. V. A. Hiremani and K. K. Senapati, “Human and Machine Vision Based Indian Race Classification Using Modified-Convolutional Neural Network,” Comput. Syst. Sci. Eng., vol. 44, no. 3, pp. 2603–2618, 2023. https://doi.org/10.32604/csse.2023.027612

12. Hiremani, V.A., Senapati, K.K. Developing real-time training dataset for human racial classification. Multimed Tools Appl 81, 28103–28127 (2022). https://doi.org/10.1007/s11042-022-12947-4

13. Shanta Kallur, Vani Ashok Hiremani, Vijeeta Patil, “ Multimodal Fusion of Face and Palm Using Local Color Binary Patterns and Haralick Features” , Vol. 6 No. 3 (2021).

14. Hiremani, Vani A. "Intrusion Detection: A Survey.",International Journal of Innovative Research in Computer and Communication Engineering, Vol:4 Issue 2, 2016.

15. Hiremani, Vani A. "Speaker recognition: a survey." International Journal of Emerging Technology and Advanced Engineering 5.7 (2015): 325-335.

16. Hiremani VA, Hatture SM (2013) Personal identification with face biometrics using color local texture features. IJACR. 2013.

17. V. Hiremani, “Secure mechanism for wireless sensor networks - a review,” International Journal on Recent and Innovation Trends in Computing and Communication, vol. 1, no. 12, pp. 915–918, 2013.

A Book on “Sustainable Agriculture Applications Using Large Language Models”, by Raghavendra M. Devadas, Vani Hiremani, Praveen Gujjar Jagannath, Lubna Ambreen, Harold Andrew Patrick, ISBN: 979-8-89881-019-1 (Print), DOI:10.2174/97988988101841250101, Published by Bentham, 2025.

1. Chapter on “Enhancing stability and efficiency in deep reinforcement learning agents” Raghavendra M. Devadas, Vani Hiremani, Ranjeet Vasant Bidwe, J. Praveen Gujjar, R. Sapna, Preethi, Book Title: Data Science & Exploration in Artificial Intelligence, CRC Press, eISBN:9781003589273, https://doi.org/10.1201/9781003589273, 26 February 2025.

2. Chapter on “Unveiling the Potential of Generative Approaches in AI-Infused Web Development for Design, Testing, and Maintenance” Raghavendra M Devadas, Vani Hiremani, Praveen Gujjar J., Preethi, R. Sapna, Book Title: Generative AI for Web Engineering Models, IGI Global, ISBN13: 9798369337035, DOI: 10.4018/979-8-3693-3703-5.ch005, 2025.

3. Chapter on “Revolutionizing Smart Cities: A Data-Driven Traffic Monitoring System for Real-Time Traffic Density Estimation and Visualization” Raghavendra M Devadas, Vani Hiremani, Aditi Sharma, Anita Venugopal, Raghavendra M Ichangi, Naveen Kulkarni, N Pavithra, Book Title: International Conference on Advances in Information Communication Technology & Computing, Springer Nature Singapore, vol 1075. Springer, Singapore. https://doi.org/10.1007/978-981-97-6106-7_4,2025.

4. Chapter on “Exploring Non-convex Optimization in Sparse Signal Recovery: A Comparative Study of Non-convex Dantzig Selector and LASSO” Pragun Deveshwar, Tanya Singh, Yash Sharma, Ranjeet Vasant Bidwe, Vani Hiremani, Raghavendra Devadas, Kunal Shah, Book Title: International Conference on Advances in Information Communication Technology & Computing, Springer Nature Singapore, vol 1075. Springer, Singapore. https://doi.org/10.1007/978-981-97-6106-7_4,2025.

5. Chapter on “Interactive dashboard and 3D visualization using t-SNE dimensionality reduction” Praveen Gujjar, Lubna Ambreen, Vani Hiremani, Raghavendra M Devadas, Book Title: Interactive and Dynamic Dashboard: Design Principles, CRC Press, ISBN:1040259286, 2024.

6. Chapter on “Interactive dashboard and 3D visualization using t-SNE dimensionality reduction” Raghavendra M Devadas, Vani Hiremani, J Praveen Gujjar, N Shobha Rani, KR Bhavya, Book Title: Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach, Springer Nature Switzerland, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-031-65727-6_17,2024.

7. Chapter on "Aiding in Prognosis of Fibromyalgia Syndrome Utilizing MCDM TOPSIS Method in Fusion With Fuzzy Logic” Raghavendra M Devadas, Vani Hiremani, Praveen Gujjar, Book Title: Ubiquitous Computing and Technological Innovation for Universal Healthcare, IGI Global, ISBN13: 9798369322680, DOI: 10.4018/979-8-3693-2268-0,2024.

8. Chapter on "A Comprehensive Study on Patient Privacy and Data Security in Big Data Healthcare Applications”, Raghavendra Devadas, Vani Hiremani, N Shobha Rani, Bhavya KR, R Sapna, Book Title: Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems, IGI Global, ISBN13: 9798369327036, DOI: 10.4018/979-8-3693-2703-6,2024.

9. Chapter on "Validating Machine Vision Competency Against Human Vision”, Vani Ashok Hiremani, Kishore Kumar Senapati, Book Title: Encyclopaedia of Data Science and Machine Learning, IGI Global, ISBN13: 9781799892205, DOI: 10.4018/978-1-7998-9220-5,2023.

1. R. K. K, K. Sandhya, P. G. J, R. M. Devadas, V. Hiremani and Preethi, "Topic Modelling using Transfer Learning: Issues and Challenges," 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 26-30, doi: 10.1109/IC363308.2025.10956529.

2. R. Sapna, Preethi, R. M. Devadas, V. Hiremani, N. Pavithra and C. M. Manasa, "Fractal Forest: A Novel Approach to Synthetic Data Classification with Enhanced Feature Engineering and Performance Metrics," 2025 International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India, 2025, pp. 751-754, doi: 10.1109/INCIP64058.2025.11019605.

3. Preethi, Mohammed Mujeer Ulla, Sapna R, Raghavendra Devadas, Vani Hiremani, and Pavithra N. 2025. Leveraging Machine Learning for Sustainable IoT: Predictive Analytics for Energy Efficiency. Procedia Comput. Sci. 258, C (2025), 2150–2158. https://doi.org/10.1016/j.procs.2025.04.465.

4. R. K. K, K. Sandhya, P. G. J, R. M. Devadas, V. Hiremani and S. R, "Disease and Medications Text Visualization Using Scattertext," 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 31-34, doi: 10.1109/IC363308.2025.10957649.

5. R. V. Bidwe, S. Raina, T. Nale, R. Badaan, S. Patil and V. Hiremani, "Abstractive Summary Generation of Meeting Audio Files," 2024 Asian Conference on Intelligent Technologies (ACOIT), KOLAR, India, 2024, pp. 1-5, doi: 10.1109/ACOIT62457.2024.10939801.

6. R. Sapna, S. N. Sheshappa, S. P. Raja, Preethi, R. M. Devadas and V. Hiremani, "MediClass-RF: An Optimized Random Forest Framework for Medicinal Plant Classification with Feature Importance and Comprehensive Performance Evaluation," 2024 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2024, pp. 373-378, doi: 10.1109/MoSICom63082.2024.10881547.

7. G. Dhasmana, P. G. J, G. P. M. S, R. M. Devadas, V. Hiremani and D. S. N, "TensorFlow vs Theano: Issues and Challenges for Natural Language Processing," 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC), Gwalior, India, 2024, pp. 1521-1523, doi: 10.1109/AIC61668.2024.10731126.

8. R. M. Devadas, V. Hiremani, R. V. Bidwe, P. G. J and A. P. C A, "Hybrid Clustering With Quantum Particle Swarm Optimization Initialization for Fuzzy C-Means and DBSCAN," 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India, 2024, pp. 1-4, doi: 10.1109/ICAIT61638.2024.10690825.

9. V. Hiremani, P. G. J, S. Shinde, R. M. Devadas, A. P. C A and L. Ambreen, "Digital Cottage Hub for Empowering Artisans, Fostering Connectivity, and Promoting ‘Make in India’," 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India, 2024, pp. 1-7, doi: 10.1109/ICAIT61638.2024.10690674.

A. Kotiyal, P. G. J, G. P. M. S, R. M. Devadas, V. Hiremani and P. Tangade, "Chat With PDF Using LangChain Model," 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India, 2024, pp. 1-4, doi: 10.1109/ICAIT61638.2024.10690817.

10. M. S. Guru Prasad, R. M. Devadas, V. Hiremani, A. Jahan, J. Praveen Gujjar and A. Dahiya, "Metagenomic Face: Applying Machine Learning to Facial Microbiome Data for Pattern Recognition and Disease Classification," 2024 4th International Conference on Intelligent Technologies (CONIT), Bangalore, India, 2024, pp. 1-4, doi: 10.1109/CONIT61985.2024.10627251.

11. V. Hiremani, R. M. Devadas, P. Gujjar, S. Johar and S. R, "Ranking of Institutes Using MCDM SAW Method Under Uncertainty," 2024 5th International Conference for Emerging Technology (INCET), Belgaum, India, 2024, pp. 1-4, doi: 10.1109/INCET61516.2024.10593015.

12. R. M. Devadas, R. Sapna, S. Sridevi, V. Hiremani and V. Sudha, "Grading of Academic Institutes using MCDM VIKOR Method Under Fuzzy Treatment," 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India, 2023, pp. 1-4, doi: 10.1109/ICCAMS60113.2023.10526189.

13. V. Hiremani, G. Kumar, A. Chundurwar, O. Dharmik and J. Patel, "Quantitative Analysis of Machine and Deep Learning Models in Dysrhythmia Classification," 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India, 2023, pp. 1-7, doi: 10.1109/ICCAMS60113.2023.10526152.

14. V. Hiremani, R. M. Devadas, H. L, S. S and A. Pasha, "Heart Arrhythmia Classification Using Machine Learning Algorithms," 2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC), Bhubaneswar, India, 2023, pp. 1-4, doi: 10.1109/ICAIHC59020.2023.10431441.

15. V. A. Hiremani and K. K. Senapati, "Significance of Conventional and Nonconventional Features in Classification of Face through Human Intelligence," 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2019, pp. 931-937, doi: 10.1109/ICSSIT46314.2019.8987756.

16. V. A. Hiremani and K. Kumar Senapati, "Analysis of Human Intelligence in Identifying Persons Native through the Features of Facial Image," 2019 1st International Conference on Advances in Information Technology (ICAIT), Chikmagalur, India, 2019, pp. 87-93, doi: 10.1109/ICAIT47043.2019.8987298.

17. V. A. Hiremani and M. M. Jadhao, "Eliminating co-operative blackhole and grayhole attacks using modified EDRI table in MANET," 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Chennai, India, 2013, pp. 944-948, doi: 10.1109/ICGCE.2013.6823571.

• Indian Dataset for Human Racial classification. [Indian Patent Application Number 202231054120, Date of Publish, 23rd September 2022].
• Driver Drowsiness Detecting Device Based on AI. [Indian Patent Design No.: 409501-001, Date of Grant, 02 May 2024.

• Research proposal titled “Algorithms Before Computers: A Critical Study of Algorithmic and Computational Methods in Sanskrit Mathematical and Astronomical Texts (c. 500–1700 CE)”, submitted for consideration under the INSA Research Projects in the History of Science and Technology programme, dated December 17, 2025.

1. Mr Nishant Doshi, PRN NO: 24079001076 enrolled in 2024. Research Topic “Enhancing Stock Market Predictive Models with Machine Learning, Generative AI and Large Language Models for Dynamic Financial Decision – Making”.

2. Mr. Amar Kitekar, PRN NO: 24079001036 enrolled in January, 2024. Research Topic “AI-Driven Predictive Analytics for Early Detection of Heart Disease”.

3. Mr. Nitin Magdum, PRN NO: 24079001077, enrolled in Augst, 2024 Research Topic “A Hybrid Machine Learning Approach for Accurate Detection of Melanoma in Skin Cancer Diagnosis”.

4. Mrs. Shital Wadagavne, PRN NO: 25079001075, enrolled in August 2025 in process of completing course work.

• Served as source person for AICTE sponsored 6-days AICTE Training and Learning (ATAL) - FDP program entitled "IoT for Emerging Technical Applications" from 8th to 13th January 2024.
• Delivered a talk on Emerging Trends in Iot and Deep learning applications at an event hosted by KLE College Hubli.
• Served a source person in Student Development Program hosted by Alard College of Engineering Pune.

Associate Member, IEI

Life Member, SAS Society

Member of IEEE

Member of ACM

Member of IEEE Signal Processing Society

Member of IEEE Computer Society 

Name              : Vani Hiremani

Father’s Name: Ashok Hiremani

Date of Birth   : 25/01/1986

Marital Status : Married

Languages Known :  English, Kannada, Hindi, and Marathi.

Hobbies          :  Reading Novels, Playing Carom, Singing, Listening music

Strength   :   Sincere, Positive attitude, Leadership and Hardworking. 

I hereby declare that the information furnished above is true to the best of my knowledge.