Dr. Badal Soni

10960229_10203991562736088_8762303016677867443_o


Assistant Professor

Email: badal[AT]cse.nits.ac.in

Academic Experience: 11+ years

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Academic Qualifications

B. E. (CSE), M.Tech. (CSE), Ph.D.  (CSE)


 Research Area(s)

  • Image Processing
  • Wearable Device Sensor Data Analysis
  • Human Activity Detection Using Mobile Sensor Data
  • Computational Intelligence for Health Informatics 
  • Application of Machine Learning in Health Care Domain
  • Medical Image Processing

Ph. D. Supervised/Ongoing:    

Name Registration No.     Thesis Title/Area Current Status
Ms. Candy Lalrempuii 18-3-05-110 An Empirical
Study on Neural Machine Translation for Low-Resource Mizo Language
Completed (13.02.2023)
Mr. Ravi Teja Gedela 20-3-05-104 Empirical Study on Computational Sarcasm Detection in English and Telugu Completed (19.02.2023)
Ms. Arpita Ghosh  19-3-05-102 Brain Hemorrhage Classification Ongoing
Mr. Eduri Raja 20-3-05-119 Dravidian Languages Fake News Detection Ongoing
Mr. Nurul Amin Choudhury 21-3-02-027 Human Activity Detection using Mobile Sensor Data  Ongoing
Mr. Anji Reddy Vaka 19-3-05-121 Breast Cancer Tumor Identification  Ongoing (Part-Time)
Mr. Souvik Chowdhury 21-3-05-101 Visual Question Answering System Ongoing (Part-Time)
Ms. Rashmi Pathak 21-3-05-106 Decision Modeling  Ongoing (Part-Time)

 


 

M. Tech Dissertation Supervised

Name                  Scholar No.   Completion Year    Project Title

Ms. Saswati  Debnath

13-25-109    2015 Vector Quantization based Modelling Technique in Text-dependent Speaker Verification System
Mr. Kirna Sonavane 14-25-110 2017 Porting and Optimization of Multiple Sequence Alignment on Intel Xeon Phi Architecture
Mr. Shiv Sankar Nath 15-25-112 2017 An Efficient and Robust Copy-Move Forgery Detection in Digital Images
Mr. Vishwajeet Singh 16-25-103 2018 Emotion Recognition from EEG signals
Ms. Debalina Biswas 17-25-106  2019 Image Dehazing using Contrast Limited Adaptive Histogram Equalization and Guided Filter
Mr. Ayush Kumar  18-25-115  2020 Image Copy Move Detection Based on Convolutional Neural Networks
Ms. Doli Phukan 20-22-115 2022 Visual Question Answering System
Ms. Sakshi Singh 21-22-219 2023 Gait Recognition in an Uncontrolled Environment

 


 

Projects
  1. Co-Chief Investigator, “Capacity Building for human resource development in Unmanned Aircraft System (Drone and Related Technology)”, Funded by MeiTY, IIITDM Kurnool and C-DAC Hyderabad as a part of Project Management Unit, Budget: Rs. 150 lakhs, (Status: Ongoing from 2022-2027).
  2. Co-Principal Investigator, “Design and Development of Intelligent Cyber-Physical System for Prediction, Early Detection and Remote Monitoring of Alzheimer’s Disease in Real-Time using Bio-Multifunctional Smart Wearable Sensors”, Funded by DST-SERB (CRG), Budget: Rs. 77 lakhs (Status: Ongoing from 2024-2026).

Books Published

  1. Authored Book: Badal Soni, and Nurul Amin Choudhury, “Human Activity Recognition: In-Depth Design Analysis with New Tools and Techniques”, Proposal Accepted to published by Springer.
  2. Authored Book: Badal Soni, and Pradip K. Das, “Image Copy-Move Forgery Detection: New Tools and Techniques”, published by Studies in Computational Intelligence, Springer, Singapore, https://doi.org/10.1007/978-981-16-9041-9 (Online).
  3. Authored Book: Badal Soni, and Suganya Devi K., “Information Retrieval Models and Concepts”,  published by Wiley publisher, ISBN: 9789354246791 (Online at Wiley) Online at Amazon.
  4. Edited Book: Rajesh Doriya, Badal Soni, Anupam Shukla, Xiao-Zhi Gao, “Machine Learning, Image Processing, Network Security and Data Sciences”, 2021, published in Lecture Notes in Electrical Engineering, Springer, Singapore, https://doi.org/10.1007/978-981-19-5868-7 (Online).
  5. Edited Book: Arup Bhattacharjee, Samir Kr. Borgohain, Badal Soni, Gyanendra Verma, Xiao-Zhi Gao, “Machine Learning, Image Processing, Network Security and Data Sciences”, 2020, published in Communications in Computer and Information Science, vol 1240, Springer, Singapore. https://doi.org/10.1007/978-981-15-6315-7_1(Online).
  6. Edited Book: Arup Bhattacharjee, Samir Kr. Borgohain, Badal Soni, Gyanendra Verma, Xiao-Zhi Gao, “Machine Learning, Image Processing, Network Security and Data Sciences”, 2020, published in Communications in Computer and Information Science, vol 1241, Springer, Singapore. https://doi.org/10.1007/978-981-15-6318-8_1 (Online).
  7. Edited Book: Gyanendra K. Verma, Badal Soni, Salah Bourennane, Alexandre C. B. Ramos, “Data Science Theory Algorithm and Applications”, published in Transactions on Computer Systems and Networks Series Springer, ISSN 2730-7484, eBook ISBN978-981-16-1681-5, DOI 10.1007/978-981-16-1681-5 (Online).

Journals Published

  1. Arpita Ghosh, Badal Soni, and Ujwala Baruah,  “Transfer Learning-based Deep Feature Extraction Framework using Fine-tuned EfficientNet B7 for Multiclass Brain Tumor Classification” Published in  Springer, Arabian Journal for Science and Engineering 2023, DOI: https://doi.org/10.1007/s13369-023-08607-w (SCI)(Online).  
  2. Rashmi Pathak, Badal Soni, Naresh Babu Muppalaneni and Arunodaya Raj Mishra, “Multi-criteria group decision-making method based on einstein power operators, distance measure, additive ratio assessment, and interval-valued q-rung orthopair fuzzy sets” Published in  Springer, Granular Computing , 2024, DOI: https://doi.org/10.1007/s41066-023-00430-w,(Online).
  3. Nurul Amin Choudhury, and Badal Soni, “In-depth analysis of design & development for sensor-based human activity recognition system” Published in  Springer, Multimedia Tools and Applications, https://doi.org/10.1007/s11042-023-16423-5 (SCI)(Online).
  4. Nurul Amin Choudhury, and Badal Soni, “Enhanced Complex Human Activity Recognition System: A Proficient Deep Learning Framework Exploiting Physiological Sensors and Feature Learning” Published in  IEEE Sensors Letters, Vol. 7, No. 11, , pp 1-14. DOI: 10.1109/LSENS.2023.3326126 (SCI)(Online).
  5. Rashmi Pathak, Badal Soni, Naresh Babu Muppalaneni and Arunodaya Raj Mishra, ” Multi-criteria group decision-making method based on einstein power operators, distance measure, additive ratio assessment, and interval-valued q-rung orthopair fuzzy sets” Published in  Springer, Granular Computing 2024, DOI: https://doi.org/10.1007/s41066-023-00430-w,(Online).
  6. Eduri Raja, Badal Soni,Candy Lalrempuii, and Samir Kumar Borgohain “An adaptive cyclical learning rate based hybrid model for Dravidian fake news detection” Published in Elsevier, Expert Systems with Applications, Vol. 241, 2024, pp 1-18. DOI:https://doi.org/10.1016/j.eswa.2023.122768 (SCI)(Online).
  7. Candy Lalrempuii, and Badal Soni, “Investigating Unsupervised Neural Machine Translation for Low-resource Language Pair English-Mizo via Lexically Enhanced Pre-trained Language Models” Published in ACM, Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 22, issue-8, Article 209 (August 2023), pp 1-18. DOI:https://doi.org/10.1145/3445974 (SCI)(Online).
  8. Candy Lalrempuii, and Badal Soni, “Extremely Low-resource Multilingual Neural Machine Translation for Indic Mizo Language (2023)” Published in International Journal of Information Technology Springer (Online).
  9. Nurul Amin Choudhury and  Badal Soni, “An Efficient and Lightweight Deep Learning Model for Human Activity Recognition on Raw Sensor Data in Uncontrolled (2023)”, Published in IEEE Sensors Journal(SCI) (Online).
  10. Kolli Yashwanth, and  Badal Soni, “Encoder-Decoder Architectures based Video Summarization using Key-Shot Selection Model (2023)”, Published in  Springer Multimedia Tools and Applications (SCI) (Online).
  11. Souvik Chowdhury, Doli Phukan, and  Badal Soni, “Incorporation of Question Segregation Procedure in Visual Question Answering Models (2023)”, Accepted for publication in  International Journal of Computing Science and Mathematics Inderscience.
  12. Eduri Raja, Badal Soni, Samir Kumar Borgohain, “Fake news detection in Dravidian languages using transfer learning with adaptive finetuning”, Elsevier, Engineering Applications of Artificial Intelligence, Volume 126, Part A, November 2023, 106877, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2023.106877 (SCI)(Online)(SCI).
  13. Ravi T. Gedela, Ujwala Baruah, and Badal Soni, “Identifying sarcasm using heterogeneous word embeddings: a hybrid and ensemble perspective”, Springer, Soft Computing (2023), https://doi.org/10.1007/s00500-023-08368-6 (SCI)(Online).
  14. Ravi T. Gedela, Ujwala Baruah,  and Badal Soni, “Deep Contextualised Text Representation and Learning for Sarcasm Detection”, Springer, Arabian Journal for Science and Engineering (2023), https://doi.org/10.1007/s13369-023-08170-4 (SCI)(Online).
  15. Anji Reddy, V., Badal Soni, “Pectoral muscle removal using entropy fuzzy clustering and RCM-CNN based mammography classification”, Springer, International Journal of Information Technology, 15, 2663–2675 (2023). https://doi.org/10.1007/s41870-023-01308-5. (Online).
  16. Nurul Amin Choudhury and  Badal Soni, “An Adaptive Batch Size based-CNN-LSTM Framework for Human Activity Recognition in Uncontrolled Environment”, Published in IEEE Transactions on Industrial Informatics, 2023, doi: 10.1109/TII.2022.3229522. (SCI) (Online).
  17. Souvik Chowdhury and Badal Soni, “QSFVQA: A Time Efficient, Scalable and Optimized VQA Framework” Accepted in Springer, Arabian Journal for Science and Engineering, 2023, https://doi.org/10.1007/s13369-023-07661-8. (SCI)(Online). 
  18. Badal Soni, D. Thakuria, N. Nath, N. Das, and B. Boro, “RikoNet: A Novel Anime Recommendation Engine”, Accepted in Springer, Multimedia Tools and Applications, 2023. (SCI)(Online)(SCI).
  19. Arpita Ghosh, Badal Soni, Ujwala Baruah, “Brain Hemorrhage Classification from CT Scan Images using Fine-tuned Transfer Learning Deep Features” Published in International Journal of Business Intelligence and Data Mining, Inderscience, 2022, DOI: 10.1504/IJBIDM.2022.10046012. (Scopus+ESCI)(Online).
  20. Candy Lalrempuii, Badal Soni, and Partha Pakray, “An Improved English-to-Mizo Neural Machine Translation” Published in ACM, Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 20, issue-4, Article 61 (May 2021), 21 pages. DOI:https://doi.org/10.1145/3445974 (SCI)(Online).
  21. Ananya Bhattacharjee, R Murugan, Badal Soni, Tripti Goel, “Ada-gridrf: A fast and automated adaptive boost based grid search optimized random forest ensemble model for lung cancer detection”, Published in Springer,  Physical and Engineering  Sciences in Medicine, Vol. 45, PP. 981–994, (2022). https://doi.org/10.1007/s13246-022-01150-2 (SCI) (Online)(SCI)
  22. Badal Soni, S. Roy, and S. Warsi, “Particle Swarm Optimization in Bioinformatics, Image Processing, and Computational Linguistics” Published in International Journal of Swarm Intelligence Research (IJSIR), IGI Global, Vol. 12, issue 4, Note 2, 2021. DOI: 10.4018/IJSIR.2021100102 (Scopus+ESCI)(Online).
  23. Badal Soni, Angana Borah, Pidugu Naga Lakshmi Sowgandhi, Pramod Sarma, Ermyas Fekadu Shiferaw, “KTRICT A KAZE Feature Extraction: Tree and Random Projection Indexing-Based CBIR Technique” Published in International Journal of Multimedia Data Engineering and Management (IJMDEM), Vol. 11, issue-2, pp. 49-65, 2020 (Scopus+ESCI)(Online). 
  24. Anji Reddy Vaka, Badal Soni, Sudheer Reddy K. “Breast cancer detection by leveraging Machine Learning” Published in Elsevier, Information & Communications Technology Express, 2020 https://doi.org/10.1016/j.icte.2020.04.009.  (Scopus+ESCI).
  25. Badal Soni, Anji Reddy. V, Naresh Babu Muppalaneni, Candy Lalrempuii, “Image Forgery Detection using AKAZE Keypoint Feature Extraction and Trie Matching” Published in  International Journal of Innovative Technology and Exploring Engineering,  ISSN: 2278–3075 (Online) Volume-9 Issue-1, November 2019 (Scopus+ESCI)(Online).
  26. Badal Soni, Pradip K. Das, D. Meitei Thounaojam, “Geometric transformation invariant block-based copy-move forgery detection using fast and efficient hybrid local features”, Published in  Elsevier, Journal of Information Security and Applications, 2019, DOI: https://doi.org/10.1016/j.jisa.2019.01.007, Vol. 45, pp. 44-51 (SCI)(Online).
  27. Badal Soni, Pradip K. Das, D. Meitei Thounaojam, “Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm”, Published in IET Journal of Image Processing, 2018, DOI:  10.1049/iet-ipr.2018.5576 , Print ISSN 1751-9659, Online ISSN 1751-9667 (SCI)(Online).
  28. Badal Soni, Angshuman Bora, Arpita Ghosh, and Anji Reddy, “RFSVM: A Novel Classification Technique for Breast Cancer Diagnosis”,  Published in ‘International Journal of Innovative Technology and Exploring Engineering (IJITEE)’, ISSN: 2278–3075 (Online), Volume-8 Issue-12, October  2019, Page No. 3295-330 (Scopus+ESCI)(Online).
  29. Nilesh Dilipkumar Gharde, D. Meitei Thounaojam, Badal Soni, Saroj Kr. Biswas, “Robust perceptual image hashing using fuzzy color histogram”, Published in Multimedia Tools and Applications, Springer, Jun 2018, https://doi.org/10.1007/s11042-018-6115-1, Vol.  77, issue 23,  pp 30815–30840 (SCI)(Online).
  30. Badal Soni, Pradip K. Das, and D.  Meitei Thounaojam, “Dual System for Copy-move Forgery Detection using Block-based LBP-HF and FWHT Features,” Engineering Letters, vol. 26, no.1, pp. 171-180, 2018(ESCI + Scopus) (Online).
  31. Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam, “CMFD: A detailed review of block based and key feature based techniques in image copy-move forgery detection”, Published in IET Journal of Image Processing, 2017, DOI: 10.1049/iet-ipr.2017.0441, ISSN:1751-9667, Vol.12, issue:2, pp.167-178 (SCI)(Online).
  32.  Badal Soni, Saswati Debnath, Pradip k. Das, “Text-dependent speaker verification using classical LBG, adaptive LBG and FCM vector quantization”, Published in International Journal of Speech Technology Springer, 2016, DOI:10.1007/s10772-016-9346-4, ISSN 1381-2416, Vol.19, issue:3, pp.525-536 (ESCI + Scopus)(Online).
  33.  Rajib Kumar Jha, Badal Soni, Kiyoharu Aizawa, “Logo Extraction from Audio Signals by Utilization of Internal Noise”, Published in IETE Journal of research,  vol.59, issue: 3, pp.270-279, DOI:10.4103/0377-2063.116092 (SCI)(Taylor & Francis Online).
  34.  K Sonavane, Badal Soni, Umakanta Majhi, “Survey on Automatic Number Plate Recognition (ANR)”, Published in International Journal of Computer Applications, 2015. 


Book Chapters Published
  1. Arpita Ghosh and Badal Soni (2021)”An Automatic Tumor Identification Process to Classify MRI Brain Images”, In: Verma G.K., Soni B., Bourennane S., Ramos A.C.B. (eds) Data Science. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-1681-5_20, 2021(Online).
  2. Badal Soni, Ujwala Baruah, “Enhanced Image Dehazing Procedure using CLAHE and Guided Filter”, In Applied Intelligent Decision Making in Machine Learning, ISBN 9780367503369, CRC Press, November 18, 2020.
  3. Soni B., Mathur P., Bora A. (2021), “In-Depth Analysis, Applications and Future Issues of Artificial Neural Network”. In: Hassanien AE., Taha M.H.N., Khalifa N.E.M. (eds) Enabling AI Applications in Data Science. Studies in Computational Intelligence, vol 911. Springer, Cham. https://doi.org/10.1007/978-3-030-52067-0_7 (Online).
  4. Soni B., Suganya Devi K., Bora A. (2021), “An Automatic Classification of Genetic Mutations by Exploring Different Classifiers”. In: Hassanien AE., Taha M.H.N., Khalifa N.E.M. (eds) Enabling AI Applications in Data Science. Studies in Computational Intelligence, vol 911. Springer, Cham. https://doi.org/10.1007/978-3-030-52067-0_5 (Online).
  5. Anji Reddy .V and Badal Soni (2020), “Breast Cancer Identification and Diagnosis Techniques,”  In Machine Learning for Intelligent Decision Science Algorithms for Intelligent Systems, DOI: 10.1007/978-981-15-3689-2, Springer, Singapore (Online).
  6. Badal Soni , Das P.K., Thounaojam D.M., Biswas D. (2020),  “Copy–Move Attack Detection from Digital Images: An Image Forensic Approach,”  Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 766. Springer, Singapore (Online)
  7. Badal Soni, Pradip K. Das, D. Meitei Thounaojam (2018), “An Efficient Block Phase Correlation Approach for CMFD System,” In: Pattnaik P., Rautaray S., Das H., Nayak J. (eds) Progress in Computing, Analytics and Networking, Advances in Intelligent Systems and Computing, vol 710, Springer, Singapore (Online).
  8. Rajib Kumar Jha, Badal Soni, Rajlaxmi Chouhan, Kiyoharu Aizawa, “Improved Watermark Extraction from Audio Signals by Scaling of Internal Noise in DCT Domain,” Published in Advances in Computer Science, Engineering & Applications, Advances in Intelligent and Soft Computing, Springer-Verlag, 2012, vol. 166, pp. 235-243, DOI: 10.1007/978-3-642-30157-5_24 (Online).

Conferences Published
  1. Candy Lalrempuii and Badal Soni, “Investigation of Data Augmentation Techniques for Assamese-English Language Pair Machine Translation”, Published in IEEE 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Bangkok, Thailand, 2023, pp. 1-6, doi: 10.1109/iSAI-NLP60301.2023.10354679, (Best Paper Award) (Online). 
  2. Rashmi Pathak, Badal Soni, Naresh Babu Muppalaneni, “Role of Blockchain in Health Care: A Comprehensive Study”, Accepted in Springer 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2022 (Online).
  3. Rashmi Pathak, Badal Soni, Naresh Babu Muppalaneni, “Multi-Criteria Decision-Making Methods in Healthcare Using Blockchain”, Accepted in Springer 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2023), Germany (Online).
  4. Eduri Raja, Badal Soni, and Samir Kumar Borgohain, “nlpt malayalm@DravidianLangTech : Fake News Detection in Malayalam using Optimized XLM-RoBERTa Model”, Published in Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pp.186-191, 2023, (Online).
  5. Souvik Chowdhury, and Badal Soni, “Visual Question Answering Optimized Framework using Mixed Precision Training”, Published in IEEE International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference, During 21-22 April 2023, Bangalore, India. (Online) 
  6. Candy Lalrempuii and Badal Soni, “Low Resource Indic Languages Translation using Multilingual Approaches”, Published in Springer 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices and Networks (CHSN 2022), scheduled, during, December 28-29, 2022.(Online)
  7. Eduri Raja, Badal Soni, and Samir Kumar Borgohain”Fake News Detection in Dravidian Languages using Transformer Models”, Accepted in Springer 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices and Networks (CHSN 2022), scheduled, during, December 28-29, 2022.(Online)
  8. Bitanuka Deb, Nurul Amin Choudhury and Badal Soni, “Effect of Shallow Learning Techniques for Breast Cancer Detection using Statistical Feature Set”, Published in  Springer, 2nd International Conference on Emerging Electronics and Automation, 2022, by NIT Silchar during December 16-18, 2022.
  9. Nurul Amin Choudhury and Badal Soni, “An Efficient CNN-LSTM Approach for Smartphone Sensor-Based Human Activity Recognition System,” 2022 IEEE, 5th International Conference on Computational Intelligence and Networks (CINE), Bhubaneswar, India, 2022, pp. 01-06, doi: 10.1109/CINE56307.2022.10037495 (Online).
  10. Nurul Amin Choudhury and Badal Soni, “Effect of Shallow and Ensemble Learning Models for Human Activity Recognition in Uncontrolled Environment”, Accepted in IEEE 19th India Council International Conference (INDICON-2022), scheduled, during Nov 24-26, 2022 at Cochin, Kerala (Online).
  11. Arpita Ghosh, Badal Soni, and Ujwala Baruah, “Brain Hemorrhage Classification using Leaky ReLU based Transfer Learning Approach”, Accepted in Springer International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) to be held on September 23-25, 2022 at BITS Goa Campus.
  12. Anji Reddy Vaka, Badal Soni, and R Murugan, “Effective Breast Cancer Classification Using SDNN Based E-Health Care Services Framework”, Published in IEEE 10th International Conference on Emerging Trends in Engineering & Technology Signal and Information Processing (ICETET SIP-22) to be held during April 29-30, 2022 at G H Raisoni College of Engineering, Nagpur, India (Online)
  13. Souvik Chowdhury and Badal Soni, “eaVQA: An Experimental Analysis on Visual Question Answering Models”, Published in 18th International Conference on Natural Language Processing (ICON-2021) organized by NLPAI, Center for Natural Language Processing(CNLP) and Department of Computer Science and Engineering, NIT Silchar, India (Online).
  14. Souvik Chowdhury and Badal Soni, “VQA: A Comparative Analysis of Visual Question Answer Modelling Approaches”, Accepted in International Conference on Emerging Electronics & Automation (E2A) 2021, NIT Silchar, India.
  15. Arpita Ghosh, Badal Soni, Ujwala Baruah, and R. Murugan, “Classification of Brain Hemorrhage using Fine Tuned Transfer Learning”,  Published in Springer 3rd International Conference on Machine Intelligence and Signal Processing (MISP-2021) organized by NIT Arunachal Pradesh, India, during 23-25 September 2021 (Online).
  16. Eduri Raja and Badal Soni, “Stand-Alone Bidirectional Encoder Representations from Transformers based Fake News Detection Model”, Published in Springer International Conference on Computational Intelligence & Sustainable Technologies, Jointly organized by NIT Sikkim and NIT Silchar, India, during 28-30 October 2021(Online).
  17. S. Mishra, A. Dwivedi, Badal Soni, “Foggy Image Enhancement Using Improved Histogram Equalization and Guided Filter”, In International Conference on Smart and Intelligent Systems (SIS 2021), VRSEC, Andhra Pradesh, during 25-26 February 2021 (Online)
  18. Prachi Mathur and Badal Soni, “Exploring Color Models for Enhancement of Underwater Image” In Data Driven Approach towards Disruptive Technologies, Springer Singapore, ISBN 978-981-15-9873-9,  https://doi.org/10.1007/978-981-15-9873-9_26, 2021 (Online).
  19. Badal Soni and Prachi Mathur “An Improved Image Dehazing Technique using CLAHE and Guided Filter”,  Published by IEEE 7th International Conference on Signal Processing & Integrated Networks, (SPIN) February 27-28, 2020 (Online).
  20. Ayush Kumar and Badal Soni (2020), “A ConvNet Based Procedure for Image Copy-Move Forgery Detection”. In: Bhattacharjee A., Borgohain S., Soni B., Verma G., Gao XZ. (eds) Machine Learning; Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1240. Springer, Singapore (Online)
  21. Candy Lalrempuii and Badal Soni (2020) Attention-Based English to Mizo Neural Machine Translation. In: Bhattacharjee A., Borgohain S., Soni B., Verma G., Gao XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1241. Springer, Singapore (Online).
  22. Rajib Kumar Jha, Badal Soni,   Sumit Kumar,  Vivek S Verma, “Radon Transform and Dynamic Stochastic Resonance based Technique for Line Detection from Noisy Image”, Published in 25th International Conference on Noise and Fluctuations (ICNF 2019), held in Neuchâtel (Switzerland), from June 18 to June 21, 2019.
  23. Barman R., Biswas S.K., Sarkar S., Purkayastha B., Soni B. (2020) Image Processing Using Case-Based Reasoning: A Survey. In: Mallick P.K., Meher P., Majumder A., Das S.K. (eds) Electronic Systems and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 686. Springer, Singapore (Online).
  24. Debalina Biswas and Badal Soni, “Image Dehazing using Contrast Limited Adaptive Histogram Equalization and Guided Filter”, Accepted in IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN’19)  held on 30-31 March 2019 at Vellore Institute of Technology, Vellore, India.
  25. Prachi Mathur and Badal Soni, “Hybrid Underwater Image  Enhancement Technique: A Comparative Study using  Different Color Models”, Accepted in IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN’19) to be held on 30-31 March 2019 at Vellore Institute of Technology, Vellore, India.
  26. Debalina Biswas and Badal Soni, “Foggy Image Enhancement using Modified Adaptive Histogram Equalization and Guided Filter”, Accepted in Springer, International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, to be held on 3-4 March 2019, NIT Kurukshetra, India.
  27. Rajib Jha, Badal Soni, and Sumit Kumar, “A Combined LoG and Dynamic Stochastic Resonance Based Technique for Edge Detection from Noisy Images”, Accepted in IEEE  International Conference on Recent Advances in Computational Systems organized by the IEEE Kerala Section, to be held during December 6-8, 2018.
  28. Prachi Mathur, Kanasani Monica and Badal Soni, “Improved Fusion-based Technique for Underwater Image Enhancement”, Published in IEEE, 4th International Conference on Computing Communication and Automation (ICCCA), to be held on 14-15 December 2018, Noida, India (Online).
  29. Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam and Debalina Biswas, “Copy-Move Attack Detection from Digital Images: An Image Forensic Approach”, Accepted in Springer, 6th International Conference of Advanced Computing, Networking and Informatics, to be held on 4-6th June 2018, Assam, India.
  30. Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam, “multiCMFD: fast and efficient system for multiple copy-move forgeries detection in image”, Published in ACM, International Conference on Image and Graphics Processing (ICIGP 2018), Hong Kong, February 24-26, 2018 (Online).
  31. Badal Soni, Debalina Biswas, “Image Forensic using Block-based Copy-move Forgery Detection”, Published in IEEE, Fifth International Conference on Signal Processing & Integrated Networks, SPIN 2018, Delhi, India(Online).
  32. Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam, “Improved Block-based Technique using SURF and FAST Keypoints Matching for Copy-Move Attack Detection”, Published in IEEE, Fifth International Conference on Signal Processing & Integrated Networks, SPIN 2018, Delhi, India (Online).
  33. Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam, “An Efficient Block Phase Correlation Approach for CMFD System”, Accepted in International Conference on Computing, Analytics and Networking (ICCAN 2017), To be published in Springer, 15-16 Dec 2017, KIIT University, Bhubaneswar, Odisha, India (Online).
  34. Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam, “Copy-Move Tampering Detection based on Local Binary Pattern Histogram Fourier Feature”, Accepted in International Conference on Computer and Communication Technology, (ICCCT-2017), Published in ACM digital library (ISBN: 978-1-4503-5324-3),  24-26 Nov 2017, MNNIT Allahabad, India (Online).
  35. Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam, “Blur Invariant Block based Copy-Move Forgery Detection Technique using FWHT Features”, International Conference on Watermarking and Image Processing (ICWIP-2017), Published in ACM Digital Library, ISBN: 978-1-4503-5307-6, 6-8 Sept 2017, Paris, France (Online).
  36. Kiran Sonavane, Badal Soni, “Optimization of multiple sequence alignment (MSA) using invariant code extraction and static thread scheduling”, Published in IEEE International Conference for Convergence in Technology (I2CT), 2017, DOI: 10.1109/I2CT.2017.8226313, Mumbai, India (Online).
  37. Saswati Debnath, Badal Soni, Pradip Kr. Das, “Text-constrained Speaker Verification using Fuzzy C Means Vector Quantization”, IEEE International Conference on Communication and Signal Processing (ICCSP-2015), pp.1511 – 1515, ISBN: 978-1-4799-8080-2, 2-4 April 2015 (Online).
  38. Saswati Debnath, Badal Soni, Ujwala Baruah, “Text-Dependent Speaker Verification System: A Review” IEEE Sponsored 9th International Conference on Intelligent Systems and Control (ISCO), 9th and 10th Jan.2015, pp.1 – 7, DOI:10.1109/ISCO.2015.7282386 (Online).
  39. Onkar Krishna, Rajib Jha, Anil Tiwari, Badal Soni “Noise-Induced Segmentation of Noisy Color Image” 19th IEEE National Conference on Communications (NCC-2013), pp. 1-5, held at Indian Institute of Technology Delhi on February 15-17, 2013 (Online).

Professional Membership
  1. Senior MemberIEEE
  2. IEEE Young Professionals
  3. Professional Member, ACM
  4. Professional Member, IAENG
  5.  Professional Member, International Association of Computer Science and Information Technology
    (IACSIT)

 Conference Organized

  1. Organizing Secretary, 5th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND-2023) from 21 to 22 December  2023 at NIT Hamirpur, India
  2. Conference Chair, International Conference on Artificial Intelligence, Computing, IoT and Data Analytics (AICTA-2023) from 18 to 20 December 2023 at Punjab Engineering College Chandigarh, India.
  3. Publication Chair, 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND-2021) from 11 to 12 December  2021 at NIT Raipur, India.
  4. Finance Chair, 18th International Conference on Natural Language Processing (ICON-2021) from  16 to19 December 2021 at NIT Silchar, Assam, India.
  5. Organizing Chair, 2nd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND-2020) from 30 to 31 July 2020 at NIT Silchar, Assam, India.
  6. Financial and Hospitality Chair, 6th International Conference on Advanced Computing, Networking, and Informatics (ICACNI-18), from 04 to 06 June 2018, NIT Silchar.
  7. Organized Special  Session,  International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, from 3 to 4 March 2019, NIT Kurukshetra, India.

 Conference Session Chair

  1. Session Chair,  Emerging Electronics and Automation (E2A) 2023. Organized by Dept. of E&I, NIT Silchar during December 15-17, 2023.
  2. Session Chair, in 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices and Networks (CHSN 2022) Organized by JNTU Kakinada, during December 28-29, 2022.
  3. Session Chair, Emerging Electronics and Automation (E2A) 2022, Organized by Dept. of E&I, NIT Silchar during December 16-18, 2022.
  4. Session Chair, in Springer International Conference on Artificial Intelligence, Security and Communication (AISC-2022) organized by LENDI Institute of Engineering and Technology (Autonomous), Vizianagaram, India in collaboration with IIT Kota and California State University San Bernardino during 25th – 26th November 2022. 
  5. Session Chair, “SCES2020” Organized by Motilal Nehru National Institute of Technology Allahabad during July 10-12 2020.
  6. Session Chair, 2nd International Conference on Computer Vision, High-Performance Computing, Smart Devices and Networks (CHSN-2021), Organized by JNTU Kakinada, 20-21 August 2021.
  7. Session Coordinator, “2nd International Conference on Machine Learning, Image Processing, Network Security and Data sciences (MIND-2020) during 30- 31 July 2020 at NIT Silchar, Assam, India”
  8. Session Chair, “IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN’19)” during  30-31 March 2019 at Vellore Institute of Technology, Vellore, India.

VIRITIKA Organized

  • Event Coordinator,  Training and Skill Internship (VRITIKA) on Image Tampering Detection For Forensics Applications,  funded by the Department of Science & Technology, Science and Engineering Research Board (DST-SERB ) under Accelerate Vigyan Scheme, organized at NIT Silchar, India,  during 25th July -3rd September 2023.

Karyashala Organized 

  • Co-ordinator, One Week High-End Workshop (Karyashala) on “Hands-on Training on Computational Intelligence for Health Informatics and Wearable Device Data Analysis”, funded by  Department of Science & Technology, Science and Engineering Research Board (DST-SERB ) under Accelerate Vigyan Scheme, organized at NIT Silchar, India,  during 24th-30th July 2023.


Workshop Organized

  • Co-ordinator,  One Week Workshop on “Advances in Image Processing and Soft Computing Techniques”,  funded by TEQIP-II, organized at NIT Silchar, India, from 20 to 24 February 2017.
  • Co-ordinator,  One Week Workshop on “Application of Machine Learning” funded by TEQIP-II, organized at NIT Silchar, India, from 20th to 24th March 2017.  

Bootcamp Organized

  • Co-ordinator,  One Week Bootcamp on “Drone Skill Development & Entrepreneurship Training Program” under the aegis of MeitY, Govt. of India from the 3rd October 2023 to 7th October 2023.
  • Co-ordinator,  One Week Bootcamp on “Drone Skill Development & Entrepreneurship Training Program” under the aegis of MeitY, Govt. of India from the 10th October 2023 to 14th October 2023.  
  • Convenor,   One Week Bootcamp on “Drone Skill Development & Entrepreneurship Training Program” under the aegis of MeitY, Govt. of India from the 5th February 2024 to 9th February 2024.
  • Convenor,   One Week Bootcamp on “Drone Skill Development & Entrepreneurship Training Program” under the aegis of MeitY, Govt. of India from the 10th February 2024 to 14th February 2024.