Dr Rashmi Siddalingappa

Teaching

At YSJ, as the module director for the BSc (Hons) Computer Science programme, I predominantly teach across all years of the undergraduate course, as well as the master's programme. I teach on specialist modules focused on programming, problem-solving, Artificial Intelligence, Machine Learning and database systems. Some of the modules include:

• Problem Solving Techniques through Programming (LDC6001M)
• Artificial Intelligence, Fintech, Generative Technologies (LDC6003M)
• Database Systems and Security (LDS7002M)

At the postgraduate level, I currently supervise dissertation projects and provide research guidance to students, supporting their development in computational thinking and applied research skills.

Over the years, I have supervised undergraduate and postgraduate dissertations, guided independent research projects, and mentored students in developing practical, analytical, and research skills. I have also developed innovative teaching methods to engage students, including laboratory sessions, seminars, workshops, guest lectures, and project-based learning activities.

I am actively involved in evaluating student performance through assignments, examinations, and project assessments, providing constructive feedback to support their academic and professional growth. In addition, I participate in curriculum design, departmental activities, quality assurance processes, and student-focused initiatives to ensure a high standard of teaching and learning.

My teaching philosophy emphasizes hands-on learning, critical thinking, and real-world application, aiming to prepare students for successful careers in technology and research-driven fields while fostering a collaborative and inclusive learning environment.

Research and professional activities

Research

My research primarily focuses on the applications of Artificial Intelligence and Machine Learning in biomedical and space weather domains, bridging computational methods with real-world scientific challenges. I have authored 30 journal papers, 25 conference papers, and 3 book chapters, reflecting my contributions to both theoretical and applied research.

During my postdoctoral tenure, I developed and implemented novel machine-learning algorithms for space weather modeling under major NASA and NSF-funded projects, analyzing complex data sets and creating predictive models for phenomena such as ring current dynamics and radiation exposure. In parallel, I have conducted research in precision medicine under NPDF award, designing algorithms to analyze biomedical data and uncover insights relevant to cancer treatment and personalized healthcare.

I actively mentor and supervise graduate and doctoral students, guiding them through experimental design, data analysis, and the publication process. My work also involves grant writing, collaboration with interdisciplinary teams, and presenting research findings at international conferences and seminars. I am committed to advancing both fundamental and applied research while fostering a collaborative environment that encourages innovation, critical thinking, and impactful scholarship.

Professional activities

I am a member of IEEE and AGU. I serve on the reviewer panels of several major Scopus-indexed and SCI journals, contributing to the peer-review process and ensuring the quality of published research.

Publications

Peer-reviewed journal articles

Gornale S S, Kamat P C, Hiremath P S, Rashmi Siddalingappa (September 22, 2025) A Hybrid Ensemble of Denoising Autoencoders and Deep Learning Models for Fetal Image Analysis. Cureus J Comput Sci 2 : es44389-025-09506-x. doi:https://doi.org/10.7759/s44389-025-09506-x

Deepa S, Sheetal, Alli A, Rashmi Siddalingappa, "Enhancing Image Classification Performance through Hybrid Self-Supervised Learning Strategies," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 7, pp. 90-101, 2025. Crossref,https://doi.org/10.14445/23488549/IJECE-V12I7P108

Homayon Aryan, Jacob Bortnik,  Kent Tobiska, Piyush Mehta, Rashmi Siddalingappa, Benjamin Hogan, “Cross Correlation Between Plasmaspheric Hiss Waves and Enhanced Radiation Levels at Aviation Altitudes”, Volume23, Issue2 February 2025, e2024SW004184, https://doi.org/10.1029/2024SW004184 (SCI, Scopus, WoS, IF: 3.9, H index:58, Q1)

P, Shivanand S. Gornale, Rashmi Siddalingappa, Satish Kumar, A Knowledge Based Grade Prediction System using Machine Learning for Higher Education Institutions, Nanotechnology Perceptions, Published Nov 4, 2024. DOI : https://doi.org/10.62441/nano-ntp.vi.3001 , Vol.20, S14 (2024)

Alfredo Cruz, Rashmi Siddalingappa, Piyush M Mehta, Steven K. Morley, et al, "Reduced‐order probabilistic emulation of physics‐based ring current models: Application to RAM‐SCB particle flux." Space Weather 22, no. 6 (2024): e2023SW003706. (SCI, Scopus, WoS, IF: 3.9, H index:58, Q1)

Maurya, V.K., Sanjeevi, M., Rahul, C.N., Mohan, A., Ramachandran, D., Siddalingappa, R., Rauniyar, R. and Kanagaraj, S., 2024. Finding identical sequence repeats in multiple protein sequences: An algorithm. Journal of Biosciences, 49(1), p.41. (SCI, Scopus, WoS, IF: 2.9, H index:85, Q1)

Gornale, S., Kamat, P., Siddalingappa, R., & Kumar, S. (2024). Deep Learning Techniques for a Comprehensive Analysis of Fetal Biometric Parameters Across Trimesters. Transactions on Engineering and Computing Sciences, 12(3), 18–45. https://doi.org/10.14738/tecs.123.16985

Aryan, H., Bortnik, J., Tobiska, W. K., Mehta, P., & Siddalingappa, R.(2023). Enhanced radiation levels at aviation altitudes and their relationship to plasma waves in the inner magnetosphere. Space Weather, 21, e2023SW003477. https://doi.org/10.1029/2023SW003477 (SCI, Scopus, WoS, IF: 3.9, H index:58, Q1)

Rashmi Siddalingappa and Sekar Kanagaraj, “A Novel ML Approach for Computing Missing Sift, Provean, and Mutassessor Scores in Tp53 Mutation Pathogenicity Prediction” International Journal of Advanced Computer Science and Applications (IJACSA), 14(6), 2023. http://dx.doi.org/10.14569/IJACSA.2023.01406111 (SCI, Scopus, IF: 1.12, H index:23, Q3)

Prakash, P., Gornale , S. S., ShyamaSundar, M. S., & Siddalingappa , R. (2023). “The Role of the National Assessment and Accreditation Council in Ensuring Quality Education in the Indian Education System: An Analysis of Its Accreditation Standards and Grading Practices”, British Journal of Multidisciplinary and Advanced Studies, 4(6), 1–18. https://doi.org/10.37745/bjmas.2022.0341

Kumar, S., Gornale, S. S., Siddalingappa, R., & Mane, A. (2022). Gender Classification Based on Online Signature Features using Machine Learning Techniques. International Journal of Intelligent Systems and Applications in Engineering, 10(2), 260–268. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2020 (SCI, Scopus, Elsevier, IF:0.74, H index:2)

Gornale, S., Kumar, S., Siddalingappa, R., & Hiremath, P. S. (2022). Survey on Handwritten Signature Biometric Data Analysis for Assessment of Neurological Disorder using Machine Learning Techniques. Transactions on Engineering and Computing Sciences, 10(2), 27–60. https://doi.org/10.14738/tmlai.102.12210

Siddalingappa R and Kanagaraj S. K-nearest-neighbor algorithm to predict the survival time and classification of various stages of oral cancer: a machine learning approach F1000Research2022, 11:70 https://doi.org/10.12688/f1000research.75469.2 (SCI, Scopus, IF: 3.2, H index:88, Q1)

Publications continued

Peer-reviewed journal articles

Siddalingappa, R.; Sekar, K. Bi-Directional Long Short-Term Memory Using Recurrent Neural Network for Biological Entity Recognition. IAES International Journal of Artificial Intelligence (IJ-AI) 2022, 11, 89. DOI: http://doi.org/10.11591/ijai.v11.i1.pp89-101 (Scopus, H Index: 16, Q2)

Siddalingappa, R., & Kanagaraj, S. (2021). Anomaly Detection on Medical Images using Autoencoder and Convolutional Neural Network. International Journal of Advanced Computer Science and Applications, 12(7), 148–156. https://doi.org/10.14569/IJACSA.2021.0120717 (SCI, Scopus, IF: 1.12, H index:23, Q3)

Rashmi S, Hanumanthappa M, Era of Big Data - All about Big Data and its Impact on the Current Business, International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.191-192, November-2018, Available: http://www.jetir.org/papers/JETIR1811630.pdf.

S, Rashmi., & M, H. (2017). Determining the Degree of Knowledge Processing in Semantics through Probabilistic Measures. International Journal of Information Technology and Computer Science, 9(7), 35–41. https://doi.org/10.5815/ijitcs.2017.07.04

Rashmi, S., & Hanumanthappa, M. (2017). Qualitative and quantitative study of syntactic structure: a grammar checker using part of speech tags. International Journal of Information Technology (Singapore), 9(2), 159–166. https://doi.org/10.1007/s41870-017-0016-9 (SCI, Scopus, IF: 2.5,H index:23, Q2)

S, Rashmi., & M, H. (2017). Common-Sense Word Semantics using Dictionary Based Approach – An Early Model for Semantic Knowledge Processing. International Journal of Information Engineering and Electronic Business, 9(1), 20–27. https://doi.org/10.5815/ijieeb.2017.01.03

S, Rashmi., & M, H. (2016). Modified Random Walk Algorithm to Improve the Efficiency of Word Sense Disambiguation (WSD). International Journal of Engineering And Computer Science. https://doi.org/10.18535/ijecs/v5i3.09

Rashmi, S., & Hanumanthappa, M, Jyothi N M (2015) “Dimensionality Reduction for Text Pre-processing in Text Mining Using NLTK,” International Journal of Applied Engineering Research ISSN 0973-4562 Volume 10, November 24 (2015) pp 43975-43982 https://www.ripublication.com/Volume/ijaerv10n24.htm (Scopus, H index: 48)

Rashmi, S., & Hanumanthappa, M , M V Reddy, “Language Identification: Contrivance Learning Process using Web-Based Disquisition,” Published at the International Journal of Advanced Research in Computer Science and Software Engineering Research (IJARCSSE), Volume 5, Issue 7, July 2015 ISSN: 2277 128X. Available online at ijarcsse.com (H index: 5)

Rashmi, S., & Hanumanthappa, M “A Performance Evaluation Of F-Measure for Syntactic Structure of A Language Using HFSE Algorithm & Hashing Technique,” published in Vijnanabharathi, A Frontier in Journal of Science, Vol 1, No 1, March 2016, ISSN No: 0971 – 6882, Sl No 8, Pages 40 – 48

Rashmi S, Dr. M Hanumanthappa, Regina L “Password,” CSI Communication Volume No. 39, Issue 4, July 2015, ISSN 0970-647X

Regina L Suganthi, M Hanumanthappa, Rashmi S “Protection of Software as Intellectual Property,” CSI Communications Volume No.38 Issue No.8 ISSN 0970-647X November issue 2014

M Hanumanthappa, Rashmi S, Jyothi N M, “Impact of Phonetics in Natural Language Processing: A Literature Survey,” Published in the International Journal of Innovative Science, Engineering & Technology (IJISET), Vol. 1 Issue 3, May 2014. ISSN 2348 – 7968. Available online at www.ijiset.com

M Hanumanthappa, Rashmi S, Jyothi N M “Phonetic Transcription- A Framework for Phonetic Representation of Sound Structures,” Published in the International Journal of Engineering and Science (IJES), Online ISSN: 2278-4721, Print ISSN: 2319-6483, vol. 4, issue 7(July 2014), Page 06-11. Available online at www.ijes.com

Mallamma V. Reddy, Hanumanthappa M., Jyothi N.M, Rashmi S , “Phonetic Dictionary for Natural Language Processing - Kannada,” Published in the International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622, Vol. 4, Issue 7(Version 3), July 2014, pp.01-04. Available online at ijera.com, UGC Listed

Rashmi S, Dr. M Hanumanthappa, Regina L Suganthi “Processing of Natural Languages Semantically – A Detailed Survey,” Published in the International Journal of Engineering Research and Technology (IJERT), ISSN: 2278 - 0181, Vol. 2 Issue 12, December- 2013. Available online at ijert.com

Book chapters

Database Management Systems, Farzana Fathima, Anand Tanvashi, Rashmi S., (http://www.himpub.com/BookDetail.aspx?BookId=3116&NB=&Book_TitleM=Database+Management+ System) Himalaya Publishing House, Pvt. Ltd, ISO 9001: 2015

Madhumathi Sanjeevi, Prajna N. Hebbar, Natarajan Aiswarya, S. Rashmi, Chandrashekar Narayanan Rahul, Ajitha Mohan, Jeyaraman Jeyakanthan, Kanagaraj Sekar, Chapter 25 - Methods and applications of machine learning in structure-based drug discovery, Editor(s): Timir Tripathi, Vikash Kumar Dubey, Advances in Protein Molecular and Structural Biology Methods, Academic Press, 2022, Pages 405-437, ISBN 9780323902649, https://doi.org/10.1016/B978-0-323-90264-9.00025-8. Elsevier, USA

Conferences

Peer-reviewed conference papers

AI-Driven Lead Scoring: Enhancing Real Estate Decisions with Predictive Analytics
Author(s): Maansi Tomer, Rashmi Siddalingappa and Jayapriya J, 2025 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), July 10 – 14^th 2025, Organized by IEEE Bangalore section at Sterling’s MAC Hotel, Bangalore.

Towards sustainable AI: Green Machine Learning Systems for Energy Efficient and Eco-friendly Model Development, Margaret Savitha, Rashmi Siddalingappa, Vinay M, Angeline A, SaaAI’25, 4^-5th July 2025, organized by Christ University, Bangalore

Comparative Analysis of Machine Learning Models and Interpolation Techniques for Seasonal Rainfall Prediction, Ryan Powell, Evangilin K, Suganthi J, Deepa S, Rashmi Siddalingappa, ICETI4T 2025, organized by SIES Graduate School of Technology, Nerul, Navi Mumbai, held on 6th & 7th June 2025.

Predicting Drug Response in Cancer Patients Using Genomic Data, Rashmi Siddalingappa, Vishnu E J, International Conference on Artificial Intelligence in Health Care (ICAIH 2025), Springer, Organized by St Aloysius (Deemed to be University), Mangalore, March 20-21, 2025

Causality Analysis of Solar Wind Drivers and Magnetospheric Events, Rashmi Siddalingappa, Sakshi Purswani, Prashanth R J, International Conference on Artificial Intelligence in Health Care (ICAIH 2025), Springer, Organized by St Aloysius (Deemed to be University), Mangalore, March 20-21, 2025

An Analysis of Ensemble-based Machine Learning Approaches to Predict IPL Cricket Scores, Causality Analysis of Solar Wind Drivers and Magnetospheric Events, Rashmi Siddalingappa, Reishika Ghosh, International Conference on Artificial Intelligence in Health Care (ICAIH 2025), Springer, Organized by St Aloysius (Deemed to be University), Mangalore, March 20-21, 2025

A Comparative Study of RAG and HyDE RAG Enhancing Retrieval and Generation Performance, Rashmi Siddalingappa, Naveen R, Subhdip Bag, Jayden D Souza, Prashanth R J, International Conference on Intelligent Systems for Sustainable Future - ISSF 2025, 12 & 13 March, 2025 organized by Department of Electronics and Communication Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru

Rashmi Siddalingappa¹, Piyush Mehta² Jacob Bortnik³, W Kent Tobiska⁴, and Homayon Aryan⁵, Analysis and Predictive Modeling of Radiation at Aviation Altitudes Using ARMAS Data, ^1,2West Virginia University, Morgantown, WV, United States, ^3,5University of California Los Angeles, Department of Atmospheric and Oceanic, Sciences, Los Angeles, United States, Space Environment Technologies, Pacific Palisades, United States, Dec 13-15, 2023/12, AGU23, https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1299169

Rashmi Siddalingappa¹, Snehalata V Huzurbazar², Piyush Mehta³, Daniel T Welling⁴, Cheng Sheng⁵, Yue Deng⁵, Thomas Steinberger⁶, Shane Cupp⁷, Earl S. Scime⁸, Charles Perry⁹, Christopher M Fowler⁸, John Stewart¹⁰, Robert F Arritt¹¹, Viggo Haraldson Hansteen¹²and Weichao Tu^13, Design of Experiments for a New Ion-Neutral Coupling Model of the Ionosphere-Thermosphere System, , (1)West Virginia University, Morgantown, WV, United States, (2)Statistics and Applied Mathematical Sciences Institute, Research Triangle Park, NC, United States, (3)University of Kansas, Overland Park, United States, (4)University of Texas at Arlington, Arlington, United States, (5)University of Texas Arlington, Arlington, United States, (6)West Virginia University, Plasma & Space Physics, Morgantown, United States, (7)West Virginia University, Morgantown, United States, (8)West Virginia University, Physics and Astronomy, Morgantown, WV, United States, (9)Electric Power Research Institute Palo Alto, Palo Alto, United States, (10)West Virginia University, Physics Education Research, Morgantown, United States, (11)Electric Power Research Institute Palo Alto, Palo Alto, TN, United States, (12)Inst Theoretical Astrophysics, Oslo, Norway, (13)Los Alamos National Laboratory, Los Alamos, United States  2023/12, AGU23, San Francisco, CA, https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1299222

Rashmi Siddalingappa1, Daniel T Welling2, Piyush Mehta1 and Roxanne M Katus3, Machine-Learning based Time Series Predictions of Solar Wind Parameters and Extreme Space Weather Events, (1)West Virginia University, Morgantown, WV, United States, (2)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (3)Eastern Michigan University, Ypsilanti, United States, 2023/12, AGU23, San Francisco, CA, https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1320694

Conferences continued

Peer-reviewed conference papers

Daniel T Welling1, Rashmi Siddalingappa2, Roxanne M Katus3, Peter W Schuck4, Piyush Mehta2 and Craig J Rodger5, Simulating extreme ground magnetic disturbance scenarios using realistic, self-consistent solar wind drivers, (1)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (2)West Virginia University, Morgantown, WV, United States, (3)Eastern Michigan University, Ypsilanti, United States, (4)NASA GSFC, Silver Spring, United States, (5)University of Otago, Physics, Dunedin, New Zealand, 2023/12, AGU23, San Francisco, CA, https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1318276

Jacob Bortnik1, Grant Berland2, Qianli Ma3, Homayon Aryan4, W Kent Tobiska5, Robert Marshall6, Piyush Mehta7, Rashmi Siddalingappa7, Understanding aviation altitude radiation events due to wave-driven energetic electron precipitation,  (1)University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, (2)University of Colorado at Boulder, Aerospace Engineering Sciences, Boulder, CO, United States, (3)University of California Los Angeles, Los Angeles, United States, (4)University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, United States, (5)Space Environment Technologies, Pacific Palisades, United States, (6)University of Colorado at Boulder, Colorado Center for Astrodynamics Research, Boulder, United States, (7)West Virginia University, Morgantown, WV, United States 2023/12, AGU23, San Francisco, CA https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1241014

Homayon Aryan, Jacob Bortnik, W Kent Tobiska, Piyush Mehta, Rashmi Siddalingappa, Relationship between dose rate and plasmaspheric hiss wave power, 2023/12, AGU23, San Francisco, CA, https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1260783

Juan Martínez-Sykora1, Viggo Haraldson Hansteen2, Earl S. Scime3, Shane Cupp4, Piyush Mehta5, Thomas Steinberger6, John Stewart7, Rashmi Siddalingappa8, Cheng Sheng9, Charles Perry10, Weichao Tu11 and Yue Deng9, Numerical multi-fluid and multi-species simulations of ion-neutral coupling Laboratory experiments, (1)Bay Area Environmental Research Institute Moffett Field, Moffett Field, CA, United States, (2)Lockheed Martin Solar and Astrophysics Laboratory, Palo Alto, United States, (3)West Virginia University, Physics and Astronomy, Morgantown, WV, United States, (4)West Virginia University, Morgantown, United States, (5)University of Kansas, Overland Park, United States, (6)West Virginia University, Plasma & Space Physics, Morgantown, United States, (7)West Virginia University, Physics Education Research, Morgantown, United States, (8)West Virginia University, Morgantown, WV, United States, (9)University of Texas Arlington, Arlington, United States, (10)Electric Power Research Institute Palo Alto, Palo Alto, United States, (11)Los Alamos National Laboratory, Los Alamos, United States, 2023/12, AGU23, San Francisco, CA, https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1383947

Daniel T Welling1, Rashmi Siddalingappa2, Roxanne M Katus3, Peter W Schuck4, Piyush Mehta2 and Craig J Rodger5 (1) Advancing Extreme Event Scenario Simulations Using Realistic, Self-Consistent Solar Wind Drivers, University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (2)West Virginia University, Morgantown, WV, United States, (3)Eastern Michigan University, Ypsilanti, United States, (4)NASA GSFC, Silver Spring, United States, (5)University of Otago, Physics, Dunedin, New Zealand, Thursday, February 1, 2024, 104th AMS Annual Meeting, AMS, https://ams.confex.com/ams/104ANNUAL/meetingapp.cgi/Paper/436355

Kumar, S., Gornale, S. S., & Siddalingappa, R. (2023). Gender Classification from Behavioural Biometric Data using Convolutional Neural Network (pp. 646–659). Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022), 2023,10.2991/978-94-6463-196-8_49, Advances in Intelligent Systems Research, 10 August 2023 https://doi.org/10.2991/978-94-6463-196-8_49

Kumar, S. Gornale, A. Patil and R. Siddalingappa, "Offline Handwritten Signature Analysis for Age Classification using Deep Features," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-6, doi: 10.1109/INCET57972.2023.10170459

Rashmi, S., Hanumanthappa, M., & Gopala, B. (2018). Training Based Noise Removal Technique for a Speech-to-Text Representation Model. In Journal of Physics: Conference Series (Vol. 1142). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1142/1/012019

Rashmi, S., Hanumanthappa, M., & Kavitha, V. (2018). An Invasion to Human - Computer Interaction: Stages of Speech Recognition Process using Speech Processing Techniques. In ICSNS 2018 - Proceedings of IEEE International Conference on Soft-Computing and Network Security. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICSNS.2018.8573654

Rashmi, S., Hanumanthappa, M. (2016). “Part of Speech Tagging – A Corpus Based Approach”. In: Unal, A., Nayak, M., Mishra, D.K., Singh, D., Joshi, A. (eds) Smart Trends in Information Technology and Computer Communications. SmartCom 2016. Communications in Computer and Information Science, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-3433-6_11

Rashmi, S., Hanumanthappa, M., & Jyothi, N. M. (2016). Text-to-Speech translation using Support Vector Machine, an approach to find a potential path for human-computer speech synthesizer. In Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016 (pp. 1311–1315). https://doi.org/10.1109/WiSPNET.2016.7566349

Rashmi, S., Hanumanthappa, M., & Reddy, M. V. (2018). Hidden Markov Model for speech recognition system—a pilot study and a Naive approach for speech-to-text model. In Advances in Intelligent Systems and Computing (Vol. 664, pp. 77–90). Springer Verlag. https://doi.org/10.1007/978-981-10-6626-9_9

Hanumanthappa, M., Rashmi, S., & Reddy, M. V. (2015). Metrics for evaluating phonetics machine translation in Natural Language Processing through modified Edit Distance algorithm-A naïve approach. In 2015 International Conference on Computer Communication and Informatics, ICCCI 2015. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICCCI.2015.7218113

Hanumanthappa, M., B R Prakash, Rashmi, S “Summarization of Online Document Repositories,” presented in the 3rd International Conference on Software Engineering (NCSE’14) at M S Ramaiah College, Bangalore on Feb 20th and 21st 2014 and Published in International Journal of Engineering Research and Technology Vol. 1 (02), 2012, ISSN 2278 – 0181