Nagamma Patil

Designation:

Assistant Professor (Grade I)

Date of Joining at NITK:

Tuesday, December 10, 2013

Contact Details

E-mail:

Email: nagammapatil [at] nitk [dot] edu [dot] in

Tel:

Phone: +91-824-2473559

Academic Background

Ph. D. (Computer Science & Engineering): Indian Institute of Technology Roorkee, India.
Master of Technology (Computer Science & Engineering): PDA College of Engineering, Gulbarga, VTU Belgaum.
Bachelor of Engineering (Electronics & Communication Engineering): PDA College of Engineering, Gulbarga, VTU Belgaum.

Research Interests

Data Mining
Soft Computing
Applying Data Mining Techniques to Biological Data
Big Data Analytics
Machine Learning

Research Supervision

Completed - 2

Ongoing - 3

Research Publications

International Journals (Only Scopus and SCI indexed)

Sunil, C.K., Jaidhar, C.D., Patil, N. Cardamom Plant Disease Detection Approach Using EfficientNetV2, (2022) IEEE Access, 10, pp. 789-804. DOI: 10.1109/ACCESS.2021.3138920
Jayasimha, A., Mudambi, R., Pavan, P., Lokaksha, B.M., Bankapur, S., Patil, N. An effective feature extraction with deep neural network architecture for protein-secondary-structure prediction, (2021) Network Modeling Analysis in Health Informatics and Bioinformatics, Springer, 10 (1), art. no. 58, DOI: 10.1007/s13721-021-00340-4
Bankapur, S., Patil, N. Enhanced protein structural class prediction using effective feature modeling and ensemble of classifiers, (2021) IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (6), pp. 2409-2419. DOI: 10.1109/TCBB.2020.2979430
Bankapur, S., Patil, N., An Enhanced Protein Fold Recognition for Low Similarity Datasets Using Convolutional and Skip-Gram Features with Deep Neural Network, (2021) IEEE Transactions on Nanobioscience, 20 (1), art. no. 9187655, pp. 42-49. DOI: 10.1109/TNB.2020.3022456
Vanahalli, M.K., Patil, N., Distributed load balancing frequent colossal closed itemset mining algorithm for high dimensional dataset, (2020) Journal of Parallel and Distributed Computing, Elsevier, 144, pp. 136-152. , DOI: 10.1016/j.jpdc.2020.05.017
Bankapur, S., Patil, N., ProgSIO-MSA: Progressive-based single iterative optimization framework for multiple sequence alignment using an effective scoring system, (2020) Journal of Bioinformatics and Computational Biology, 18 (2), art. no. 2050005, . DOI: 10.1142/S0219720020500055
Bankapur, S., Patil, N, An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-grams of Evolutionary Profiles using Deep Neural Network, (2020) IEEE/ACM Transactions on Computational Biology and Bioinformatics, . DOI: 10.1109/TCBB.2020.3037465
Vanahalli, M.K., Patil, N., An efficient colossal closed itemset mining algorithm for a dataset with high dimensionality, (2020) Journal of King Saud University - Computer and Information Sciences, Eksevier. DOI: 10.1016/j.jksuci.2020.04.008
Kaur, K., Patil, N., A fast and novel approach based on grouping and weighted mRMR for feature selection and classification of protein sequence data, (2020) International Journal of Data Mining and Bioinformatics, Inderscience, 23 (1), pp. 47-61. DOI: 10.1504/IJDMB.2020.105435
Kumar, P., Bankapur, S., Patil, N., An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features, (2020) Applied Soft Computing Journal, Elsevier, 86, art. no. 105926, DOI: 10.1016/j.asoc.2019.105926
Vanahalli, M.K., Patil, N., An efficient dynamic switching algorithm for mining colossal closed itemsets from high dimensional datasets, (2019) Data and Knowledge Engineering, Elsevier, 123, art. no. 101721, DOI: 10.1016/j.datak.2019.101721
Vanahalli, M.K., Patil, N. An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets, (2019) Information Sciences, Elsevier, 496, pp. 343-362., DOI: 10.1016/j.ins.2018.08.009
Gangavarapu, T., Patil, N., A novel filter–wrapper hybrid greedy ensemble approach optimized using the genetic algorithm to reduce the dimensionality of high-dimensional biomedical datasets, (2019) Applied Soft Computing Journal, Elsevier, 81, art. no. 105538, DOI: 10.1016/j.asoc.2019.105538
Narasimhan, M., Balasubramanian, B., Kumar, S.D., Patil, N., EGA-FMC: Enhanced genetic algorithm-based fuzzy k-modes clustering for categorical data, (2018), International Journal of Bio-Inspired Computation, Inderscience, 11 (4), pp. 219-228. DOI: 10.1504/IJBIC.2018.092801

Conference Publications (Only Scopus indexed, 2020 onwards)

Pavan, R., Nara, M., Gopinath, S., Patil, N., Bayesian optimization and gradient boosting to detect phishing websites, 2021 55th Annual Conference on Information Sciences and Systems, CISS 2021, art. no. 9400317, DOI: 10.1109/CISS50987.2021.9400317
Praveen, K., Patil, N., Srikanth, C.S., Vikas, J., M-CAD: Towards Multi-Categorical Auto Diagnosis of Varied Diseases using Deep Learning, (2021) Proceedings - 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science, IRI 2021, pp. 223-227. DOI: 10.1109/IRI51335.2021.00036
Saini, G., Patil, N., CNN-GRU: Transforming image into sentence using GRU and attention mechanism, (2021) 12th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2021, 2021-August, pp. 487-493.
Sunil, C.K., Jaidhar, C.D., Patil, N, Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection, 2020 IEEE 15th International Conference on Industrial and Information Systems, ICIIS 2020 - Proceedings, art. no. 9342729, pp. 460-465. DOI: 10.1109/ICIIS51140.2020.9342729
Devi, T.G., Patil, N., Analysis &evaluation of Image filtering Noise reduction technique for Microscopic Images, 2020 International Conference on Innovative Trends in Information Technology, ICITIIT 2020, art. no. 9071556, DOI: 10.1109/ICITIIT49094.2020.9071556
Vanahalli, M.K., Patil, N., Distributed mining of significant frequent colossal closed itemsets from long biological dataset, (2020) Advances in Intelligent Systems and Computing, 940, pp. 891-902. DOI: 10.1007/978-3-030-16657-1_83
Pasupulety, U., Adwaith, C.D., Hegde, S., Patil, N., Feature selection using fast ensemble learning for network intrusion detection, (2020) Advances in Intelligent Systems and Computing, 940, pp. 967-977. DOI: 10.1007/978-3-030-16657-1_90
Bankapur, S., Patil, N., Protein secondary structural class prediction using effective feature modeling and machine learning techniques, - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018, art. no. 8567451, pp. 18-21. DOI: 10.1109/BIBE.2018.00012

Sponsored Projects

Title: Effective Online Framework Solution for Protein Sequence Alignment and to Predict Protein Structure & its subcellular localization using Amino Acid Molecules

Funding agency: Vision Group on Science and Technology, Dept. of Science and Technology, Govt. of Karnataka

Duration of project: 2018-19

Amount: 5 lakhs

Awards & Honours

PReMI’17-Springer Student Award of Rs 5,000/ for the paper "Simple, Efficient and Effective Multiple Protein Sequence Alignment Model Using Dynamic Progressive Approach with Novel Look Back Ahead Scoring System", 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI-2017, Springer, 05-08 December 2017, ISI Kolkata, India
Best paper award for "Association Analysis of Significant Frequent Colossal Itemsets Mined from High Dimensional Datasets.",at 3rd IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics, December 9^th 2016, IEEE IIT-BHU.
Obtained MHRD, India fellowship during PhD at Indian Institute of Technology Roorkee [2008 -2012]

Significant projects

2017-1018

UG :

Random Forest Model and Applications:Image Super Resolution,Image Colorisation and Outlier Detecion (In collaboration with Prof. Suyash Awatel, IIT Bombay )

Disease Inference from Health Related Questions via Sparse Deep Learning

Iris Liveness Detecion and Recognition

Detection of Bikers without helmet and Recognition of License plate from Traffic Video

PG:

Onbox Analytics for data ONTAP using Recurrent Neural Network Detecion (In collaboration with Balaji Ramani Technical Director NetApp India Bangalore)

Optimal Resource Utilization using Dynamic Virtual Machine consolidation in Cloud data Center

Ph.D and Sponsored Projects

Colossal Itemset Based Association Rule Mining from High Dimensional Data

Computational Analysis of Protein Structure and its Subcellular Localization using Amino Acid Sequences (as part of VGST Project)

Data Mining applications in Healthcare Analytics

2016 - 2017

UG :

Protein Sequence Analysis using Hadoop Map Reduce Paradigm

Frequent Pattern Mining of Realtime Stream Data

Travel Recommendation using Geo Tagged Photos

AI Model for Non Factoid Question Answering

PG:

Parallel Framework for Hybrid Feature Selection and Classification of Gene Data

A Novel Approach For Classification Of Microarray Data Based on Clustering and Feature Selection Methods

Events Organised

5 Days Short-Term Program on “Data Mining Techniques and Cyber Security” 4th – 8th September 2018.
One day Workshop on Document Typesetting and Preparation using LaTeX, 31 Oct 2018.
TEQIP III Sponsored 5 Day Short-Term Program on “Applications of Data Mining and Deep Learning Techniques in Multidisciplinary Area” , 24th – 28th June 2019
TEQIP III Sponsored 5 Day Workshop on “Computer Networks and Data Mining”, 11th – 15th Feb 2019
TEQIP III Sponsored Five Day Short Term Training Program on Information Security and Machine Learning during 10th-14th February -2020 at RTU Kota under Twinning activity with GEC Jalwar
TEQIP III Sponsored 5 Day Short-Term Program on “Applications of Machine Learning and Deep Learning Techniques in Multidisciplinary Area” , 16th – 20th Nov 2020

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Nagamma Patil

Designation:

Date of Joining at NITK:

E-mail:

Tel:

Contact us

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Main Menu

Nagamma Patil

Designation:

Date of Joining at NITK:

E-mail:

Tel:

Contact us

Connect with us

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