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Admission 2024-25
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Staff

Dr Hemalatha N
Dr Hemalatha N

Dean (IT Academics), Post Graduate Department of IT & Bioinformatics

Ph.D. (Information Technology), 2016, Kannur University; MCA, 2004 (Ranked 2nd in Kannur University), MBA (Information Systems), 2000, All India Management Association (AIMA, New Delhi), PGDCA, 1993, St Aloysius College, Mangalore

Research
  • Completed a Major research project named “Genomics, Proteomics and Computational approach for the detection of high efficient microbes in plastic degradation and production of biopolymers”, funded by St Aloysius College, Mangalore (2019-21)
  • Involved with CPCRI, Kasargod for a project in developing coconut maturity tool in deep learning (Project submitted to Coconut development board)
  • Involved with CPCRI, Kasargod for a project in developing deep learning tool for insect identification of white flies in coconut
  • Involved with Fr Muller’s Medical College, Mangalore for developing machine learning tool for the identification of HIE in children
Publications
  • N Hemalatha, Akhil Wilson and T Akhil, “Computational Prediction of Plastic Degrading Microbes Using Random Forest”, To be published in “A Springer book series Algorithms for Intelligent Systems”, Springer Nature Singapore Pte Ltd.
  • Hemalatha N, Akhil Wilson  and Raji Sukumar, “Computational Yield Prediction of Rice using KNN Regression”, To be published in “A Springer book series Algorithms for Intelligent Systems”, Springer Nature Singapore Pte Ltd.
  • Akhil Wilson, Hemalatha N and Raji Sukumar, “COMPUTATIONAL PREDICTION MODEL FOR PEPPER YIELD PREDICTION USING SUPPORT VECTOR REGRESSION” To be published in SCRS Book Series on Computing and Intelligent Systems (CIS)
  • Rose Mary C A, Raji Sukumar A and Hemalatha N, “Text Based Smart Answering System in Agriculture using RNN”, To be published in Computational Linguistics Journal, ACL Anthology
  •  Anna Rini, Hemalatha N and Raji Sukumar, “Decision Tree Classification of Digital Soil, Weather, Crop Mapping and Yield Prediction using Linear Regression with region influences”, agriRXIV, Preprints for Agriculture and Allied Sciences, DOI: https://agrirxiv.org/searchdetails/?pan=20210310499
  • Sukhetha P, Hemalatha N and Raji Sukumar, “Classification of Fruits and Vegetables using ResNet Model”, https://agrirxiv.org/search-details/?pan=20210317450
  • Akhil Wilson, Akhil Thankachan, N. Hemalatha1*, Lanwin Lobo, PlasPred: computational prediction tool for identifying plastic‑degrading microbes, BMC Bioinformatics, Vol 22(Suppl 16):591, pp 5, 2021
  • Hemalatha N, Melcy Philip, “A novel Bioinformatics analysis for SARS CoV-2 isolated by Public Health Laboratory, USA”, Research Journal of Biotechnology, Vol. 16(5), 2020 Scopus indexed, ISSN: 0973-6263 (SCI impact factor of 0.233)
  • Hemalatha N, M.K.Rajesh, N.K Narayanan and Anusha T A, “LTP Prediction based on Amino acids Compositions using Machine learning algorithms”, International Journal of Bioinformatics Research and Applications (Under review) Scopus indexed
  • Hemalatha N, Melcy Philip, Vrinda K and Avani S, “Bioinformatics Analysis for Biodegradation of Plastic using Microorganisms”, International Journal of Bioinformatics Research and Applications (Under review) Scopus indexed
  • Hemalatha N, Nausheeda B.S, Athul K.P, Navaneeth, Detection of Skin Cancer using Deep CNN, International Journal of Recent Technology and Engineering, Vol 8(5S), pp 22-24. 2020, Scopus indexed, ISSN no :2277-3878
  • Hemalatha N, Anusha T A, Asha Nair, Identification of Plant disease in leaves, using Deep Neural Networks, International Journal of Recent Technology and Engineering, Vol 8(5S), pp 18-21, 2020, Scopus indexed, ISSN no :2277-3878
  • Hemalatha N, Avani S and Karthika H, “Application of Artificial Neural Networks in Human diseases and Agriculture,” International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol 9(1), 2020, ISSN # 2319-1953
  • Hemalatha N and Melcy Philip, A Bioinformatics Approach for Biodegradation of Plastic using microorganisms”, Accelerating Biology SNiPs to SPINs Compendium, pp 123-124, 2020
  • Ashritha De Silva, Hemalatha N and Anusha T A, Computational Study and Analysis of PspA Protein with Drug Eugenol for Pneumoniae and its Cure, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Kavitha B, Hemalatha N and Jithin Mathew, Computational Modelling and Analysis of Receptor Protein with Herbal Ligand in Psoriasis, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Mallika K B, Hemalatha N and Anusha T A, Computational modelling and drug design for jaundice, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Manjusha G Y, Hemalatha N and Jithin Jose Mathew, In Silico Screening of Inhibitor Compound Ajoene against Hyaluronate lyase, causing Bacterial Pneumonia, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Melcy Philip and Hemalatha N, Biodegradation and Plastic Alternatives using Microorganisms, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Minol Mrinaline Braggs, Hemalatha N and Jithin Mathew, Computational Modelling and Analysis of Receptor Protein with Herbal Ligand in Psoriasis, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Oshin Theodore, Hemalatha N and Anusha T A, Computational Docking and Analysis of the Herbal Drug – Hecogenin and Target Protein -Renin in Hypertension-linked Proteinuria, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Pooja Shenoy U, Hemalatha N and Jithin Jose Mathew, Neutralization of Lipase with ligand Carpaine A Computational Model, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Prathiksha Chowta, Hemalatha N and Jithin Jose Mathew, Modelling of Urease Against Syringic Acid using Computational Methods, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Sachin Dsouza, Hemalatha N and Anusha T A, Computational Modelling of a Diabetes Drug by Docking PTP1B Protein with Nareline Alkaloid, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Shiny D, Hemalatha N and Anusha T A, A Computational Approach in DockingAdathoda Vasica to PKnG Domain of Mycobacterium Tuberculosis, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Shraddha Udaya Shetty, Hemalatha N and Jithin Jose Mathew, Docking analysis for the identification of drug targets against Salmonella enterica, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Vrinda K, Nanditha K M and Hemalatha N, Bioinformatics Analysis of Microorganism acting on Waste Deposit- A review, International Journal of Scientific Research in Computer Science Applications and Management Studies, Vol. 7(6), 2018, ISSN 2319 – 1953
  • Hemalatha N, Manasa, Kavyashree P, Anusha T.A and Rajesh M.K, Computational Prediction Tool for Leafy Cotyledon Proteins (Lec) in Oil Palms and Date Palms, IEEE Explore, pp 337-340, 2017
  • Das Vaishnav Krishnanadasan, Adithya A K and Hemalatha N, Computational Prediction Model for Stock Market, International Journal of Latest Trends in Engineering and Technology, pp 423-425, 2017, ISSN: 2278-621X.
  • Reshma Mary Martiz and Hemalatha N, Development of Computational Method for PSEN Model in Protein-Ligand Docking for Alzheimer’s Diseases, International Journal of Latest Trends in Engineering and Technology, pp 91-94, 2017, ISSN: 2278-621X.
  • Ashritha D’Silva, Mallika, Oshin Theodore, Hemalatha N, Protein Structure Prediction –A Study on Different Methods, International Journal of Latest Trends in Engineering and Technology, pp 79-81, 2017, ISSN: 2278-621X.
  • Jithin Jose Mathew, Hemalatha N, Neutralization of Botulinum Neurotoxin with chelating ligand EDTA: A Computational Model, International Journal of Latest Trends in Engineering and Technology, pp 67-70, 2017, ISSN: 2278-621X.
  • Kavitha B, Manjusha G Y, Sachin D’Souza and Hemalatha N, Preparation of Microarray for Disease Detection – A Survey on Different Methods, International Journal of Latest Trends in Engineering and Technology, pp 88-90, 2017, ISSN: 2278-621X.
  • Kavya Ramesh, Jithin Jose Mathew and Hemalatha N, A Machine Learning Approach for the Predictive Analysis of Sales in Grocery Store, International Journal of Latest Trends in Engineering and Technology, pp 95-98, 2017, ISSN: 2278-621X.
  • Minol Mrinaline Braggs, Shiny D’Souza and Hemalatha N, Next Generation Sequencing: A Survey, International Journal of Latest Trends in Engineering and Technology, pp 82-83, 2017, ISSN: 2278-621X.
  • Akshitha U, RachanaNayak and Hemalatha N, Protein Secondary Structure Prediction using Machine Learning Algorithm – A Survey, International Journal of Latest Trends in Engineering and Technology, pp 446-448, 2017, ISSN: 2278-621X.
  • Rohan Dsouza and Hemalatha N, Homology Modelling and Computation Model for Celiac Disease, International Journal of Latest Trends in Engineering and Technology, pp 75-78, 2017, ISSN: 2278-621X.
  • Shraddha Udaya Shetty, Pooja Shenoy U, Prathiksha Chowta and Hemalatha N, A Study on Different Methods Used for Drug Designing, International Journal of Latest Trends in Engineering and Technology, pp 84-87, 2017, ISSN: 2278-621X.
  • Supaksha M.A and Hemalatha N, Development of Computational Model for Ebola Virus using Pyrrolidinone Compound, International Journal of Latest Trends in Engineering and Technology, pp 71-74, 2017, ISSN: 2278-621X.
  • N Hemalatha and N.K Narayanan., “A Support Vector Machine approach for LTP using Amino Acid composition”, Lecture Notes in Electrical Engineering, Springer, Vol 396, 2016
  • V. Akhil, V. Amal, N. Hemalatha N and M. K. Rajesh, “A Machine Learning Approach for Prediction of Domains of DELLA Proteins, a Key Component of Gibberellic Acid Signaling in Plants”, Indian Journal of Science and Technology, vol 9(12), 2016, ISSN no 0974-6846
  • Jithin Mathew, Rohan D’souza and Hemalatha N, Big data in bioinformatics- a review on problems and solutions, International Journal of Latest Trends in Engineering and Technology, pp. 87-92, 2016, ISSN: 2278-621X
  • Reshma Martiz, Supaksha M A and Hemalatha N, Application of Big Data In Bioinformatics – A Survey, International Journal of Latest Trends in Engineering and Technology, pp 206-212, 2016, ISSN: 2278-621X
  • Eliza Denise Machado and Hemalatha N, Analysis of compounds in graviola (annona muricata) against cd20 antigen for non-hodgkins lymphoma, International Journal of Latest Trends in Engineering and Technology, pp. 213-215, 2016, ISSN: 2278-621X
  • Neenu Joseph and Hemalatha N, A survey on the implementation of fintech in different industries, International Journal of Latest Trends in Engineering and Technology, pp. 461-465, 2016, ISSN: 2278-621X
  • Adithya.AK, KavyaRamesh and Hemalatha N, Machine Learning in Image. Processing – A Survey, International Journal of Latest Trends in Engineering and Technology, pp. 425-428, 2016, ISSN: 2278-621X
  • Kavyashree, Manasa, Hemalatha N, Prediction of leafy cotyledon and wuschel protein using support vector machine, International Journal of Latest Trends in Engineering and Technology, pp 93-98, 2016, ISSN: 2278-621X
  • Anusha T.A, Ashraf K.M and Hemalatha N, A machine learning tool for serk protein using svm. International Journal of Latest Trends in Engineering and Technology, pp 99-105, 2016, ISSN: 2278-621X
  • Sandesh Shetty, Shaikh Obaid Ahmed and Hemalatha N, Pattern discovery for text mining using pattern taxonomy, International Journal of Latest Trends in Engineering and Technology, pp 422-425, 2016, ISSN: 2278-621X
  • Akhil, V.,Rahul C.U, Amal V, Hemalatha N and Rajesh M.K, “CnMAPKPred: A machine learning approach for predicting mitogen-activated protein kinase (MAPK) in coconut” Journal of Phytology, vol 6, 2015, ISSN: 2075-6240 , NAAS rating 4.03
  • M.S.Manjula K.E, Rachana S, Naganeeshwaran , N Hemalatha, ANitha Karun and M.K. Rajesh, “PRGPred: A Platform for prediction of domains of resistance gene analogue (RGA) in Arecaceae developed using machine learning algorithms,” Journal of Bioscience and Biotechnology, vol 4(3), 2015, ISSN No 1314-6246
  • Hemalatha N, Brendon V.F, Shihab M.M and Rajesh M.K, “Machine Learning Algorithm for Predicting Ethylene Responsive Transcription Factor in rice using an Ensemble Classifier,” Procedia Computer Science, vol 49, pp. 128-135, 2015
  • Shaunak K,Larisa P, Rizia F, Benson S and Hemalatha N, “A Comparative Analysis of Web Database and Local Database”, International Journal of Innovative Research in Computer and Communication Engineering, vol 3(7), pp. 62-66, 2015, ISSN no 2320-9798
  • Hemalatha N, Praveen, Rajesh M.K, Eliza D.M, “Computational Prediction of Magnesium Transporter Proteins in Rice (Oryza sativa)”, International Journal of Innovative Research in Computer and Communication Engineering, vol 3(7), pp. 281-287, 2015, ISSN no 2320-9798
  • Eliza M and Hemalatha N, “Identification of Therapeutic Drug for NonHodgkin’s Lymphoma Using Insilico Method”, International Journal of Innovative Research in Computer and Communication Engineering, vol 3(7), pp. 293-296, 2015, ISSN no 2320-9798
  • Abhirami T, Adithi P and Hemalatha N, “A Case Study of NGS Tools in Bioinformatics”, International Journal of Innovative Research in Computer and Communication Engineering, vol 3(7), pp.318-324, 2015, ISSN no 2320-9798
  • Preethi P, Divyalakshmi B, Naganeeswaran S, Hemalatha N and Rajesh M.K, “Construction of EST-SSR Marker Database In Coconut”, International Journal of Innovative Research in Computer and Communication Engineering,vol 3(7), pp.263-268, 2015, ISSN no 2320-9798
  • Rachana K.E, Amal Vasu, Gangaraj K.P, Sabana A.A, Hemalatha N and Rajesh M.K,” Computational Analysis of Action of Fatty Acids from Coconut and Monolaurin on Peptide Deformylase of Clostridium difficile”, International Journal of Innovative Research in Computer and Communication Engineering, vol 3(7), pp.269-274, 2015, ISSN no 2320-9798
  • Shafeeq Rahman, Amal Vasu, Gangaraj K.P, Hemalatha N and Rajesh M.K, “Structural Basis for Recognition of Gibberellin by its Receptor GID1 (GA-INSENSITIVE DWARF1) in Oil Palm”, International Journal of Innovative Research in Computer and Communication Engineering, vol 3(7), pp.257-262, 2015, ISSN no 2320-9798
  • Sinchana and Hemalatha N, “Protein Function Prediction Using Machine Learning Techniques”, International Journal of Innovative Research in Computer and Communication Engineering, vol 3(7), pp.325-328, 2015, ISSN no 2320-9798
  • Hemalatha N and Sinchana, “Protein function prediction using Support Vector Machine,” National seminar on Emerging Technologies in Computer science & Information Technology, 2015
  • Hemalatha N and Larisa Pereira, “A Comparative Analysis on the Soft Computing Approaches for Protein Structure Prediction,” Proceedings of National Joint Conference on Innovations in Engineering & Technology (NJCIET), 2015
  • Anil Paul, N. Hemalatha N and M.K. Rajesh, “LTTRPred: A tool for prediction of LysR-type transcriptional regulator of pyoluteorin pathway in plant growth promoting Pseudomonas spp.,” Journal of Plantation Crops, pp. 371-377, 2014. Scopus Indexed, ISSN No 2454-8480
  • Sreepriya P., Naganeeswaran S., Hemalatha N., Sreejisha P. and Rajesh M. K., “A Machine Learning Approach for Prediction of Gibberellic Acid Metabolic Enzymes in Monocotyledonous Plants, “Transactions on Machine Learning and Artificial Intelligence, vol 2(4), pp. 36-47, 2014, ISSN no 2054-7390
  • Hemalatha N, Rajesh M.K and Narayanan N.K, “A Machine learning approach for detecting MAP kinase in the genome of Oryza sativa L. ssp. Indica,” IEEE explore, DOI 0.1109/CIBCB.2014.6845513, 2014
  • Merin K.E, Rajesh M.K, Jamshinath T.P, Hemalatha N, Murali Gopal and George V.T, “SVM and HMM approaches for computational prediction of σ70 promoters in Pseudomonas spp. using characteristic fourmer motifs,” Indian Journal of Agricultural Sciences, vol. 84 (1), pp. 119-123, 2014, ISSN No 0019-5022
  • Philip Job N., Jamshinath T.P., Hemalatha N and Rajesh M.K, “A Machine Learning Approach for Discovery of Novel Non- Ribosomal Peptide Synthetases (NRPS) in genomes of Plant Growth Promoting Pseudomonas spp.,” International Journal of Innovative Research in Computer and Communication Engineering, vol 2, pp. 243-247, 2014, ISSN no 2320-9798
  • Shilpa S, Anil Paul, Naganeeswaran S, Hemalatha N and Rajesh M.K, “PhzPred – A Tool for Prediction of Phenazine Synthesizing Genes in Plant Growth Promoting Pseudomonas spp,” International Journal of Innovative Research in Computer and Communication Engineering, vol 2, pp. 231-237, 2014, ISSN no 2320-9798
  • Hemalatha N, Larisa and Pradeep, “Applications of Machine Learning – A Survey,” International Journal of Innovative Research in Computer and Communication Engineering, vol 2, pp. 238-242, 2014, ISSN no 2320-9798
  • Annapoorna Shetty, , Hemalatha N, Mohammed Moideen Shihab, Brendon Victor Fernandes, “Development of Prediction Tool for Drought Tolerant Protein in Rice Using Machine Learning Algorithm,” International Journal of Innovative Research in Computer and Communication Engineering, vol 2, pp. 371-377, 2014, ISSN no 2320-9798
  • Hemalatha N and Jeevan K.A, “Pattern Recognition in Image Processing – A Study,” International Journal of Innovative Research in Computer and Communication Engineering, vol 2, pp. 378-384, 2014, ISSN no 2320-9798
  • Hemalatha N, Siddhant Naik, and Jeason Rinton, “Protein Structure and Function Prediction Using Machine Learning Methods – A Review,” International Journal of Innovative Research in Computer and Communication Engineering, vol 2, pp. 385-389, 2014, ISSN no 2320-9798
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “Machine Learning Approaches for Prediction of Expansin Gene Family in Indica Rice,” Agricultural Research, Springer-Verlag, vol 2(4), pp 309-318, 2013, Scopus indexed ISSN No 2249-7218
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “Computational approach for the prediction of ERF and DREB proteins in indica rice using SVM,” ORYZA, An International Journal on Rice, vol. 49(4), pp. 239-245, 2013, ISSN No 2249-5266, NAAS score -.0.092
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “An integrative system for Prediction of NAC proteins in rice using different feature extraction methods,” International Journal on Soft Computing (IJSCC), Vol.4(1), pp 9-21,2013, ISSN No 2229-6735
  • Sreepriya P., Anil Paul, Jamshinath T.P., Hemalatha N., Manjula M.S. and Rajesh M.K, “GAPred: A high performance prediction tool for gibberellic acid metabolic enzymes using kernel-based machine learning algorithms and HMMs,” Presented at BIOSPECTRUM 2013, International Symposium on Computational Biology & Drug Design, Thiruvalla, India, 2013
  • Manjula M.S., Anil Paul, Rachana K.E., Naganeeswaran S., Hemalatha N., Sreepriya, “PalmRgene: an online platform for exploration, prediction and analysis of palm disease resistance genes,” Presented at BIOSPECTRUM 2013, International Symposium on Computational Biology & Drug Design, Thiruvalla, India, 2013.
  • N.Hemalatha, M.K. Rajesh, ” Design and implementation of computational tools for prediction of abiotic stress-responsive genes in the genome of indica rice using machine learning algorithms,” Proceedings of National seminar on “Application of Bioinformatics in Agriculture”, 2013
  • Renita, Shonal and Hemalatha.N, “A Review on Different Protein Feature Extraction Methods,”, Proceedings of National Conference on ADVANCED IT, ENGINEERING and MANAGEMENT (SACAIM), 2013
  • Anil Paul, N. Hemalatha, M.K. Rajesh,” Comparative genome analysis for annotation of pyoverdine gene cluster in fluorescens Pf0-1 Pseudomonas,” Proceedings of National Conference on ADVANCED IT, ENGINEERING and MANAGEMENT (SACAIM), 2013
Book Chapter
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “NACPred: computational prediction of nac proteins in rice implemented using SMO algorithm,” Book chapter in Advances in computing, communication and control (LNCS), Srija Unnikrishnan, Sunil Surve and Deepak Bhoir, Eds. Vol. 361, pp 266-275, Springer Berlin Heidelberg, 2013,ISBN no 978-3-642-36320-7, Publisher Springer, Berlin, Heidelberg
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “NACSVMPred: A machine learning Approach for prediction of nac Proteins in rice using support vector machines,” Book chapter in Computer Science & Information Technology (CS & IT) – Sundarapandian et al. (Eds): pp. 83–95, 2012, DOI: 10.5121/csit.2012.2508
  • Dr. Raji Sukumar A, Akhil Wilson, Dr. Hemalatha N, “Yield Prediction a Machine Learning Approach”, ISBN No 978-81-953609-2-5
  • Dr. Raji Sukumar, Anna Rini, Dr. Hemalatha N, Akhil Wilson “Digital Soil Mapping” ISBN No 978-81-953609-7-0
  • Dr. Raji Sukumar A, Lidia, Dr. Hemalatha N “Disease detection and Insect identification” ISBN No 978-81-953609-8-7
  • Dr. Raji Sukumar A, Sukhetha Purushotham, Dr. Hemalatha N “Study and Classification of Fruits and Vegetables” ISBN No 978-81-953609-9-4
Research Presentations
  • Hemalatha N, Akhil Wilson and Raji Sukumar, “Computational prediction model for pepper yield prediction using support vector regression”, 3rd International Conference on Data Science and Applications (ICDSA 2022). March 26-27
  • N Hemalatha, Akhil Wilson and T Akhil, “Computational Prediction of Plastic Degrading Microbes Using Random Forest”,2nd International Conference on Computer Vision and Robotics (CVR 2022), May 21-22
  • Akhil Wilson, Hemalatha N and Raji Sukumar, “Computational Yield Prediction of Rice using KNN Regression”, 2nd International Conference on Computer Vision and Robotics (CVR 2022), May 21-22
  • Akhil Wilson, Akhil Thankachan, N. Hemalatha1*, Lanwin Lobo, PlasPred: computational prediction tool for identifying plastic‑degrading microbes, BMC Bioinformatics, Vol 22(Suppl 16):591, pp 5 (Fifth International Conference “Bioinformatics: from Algorithms to Applications” (BiATA 2021))
  • Hemalatha N, Manasa, Kavyashree P, Anusha T.A and Rajesh M.K, Computational Prediction Tool for Leafy Cotyledon Proteins (Lec) in Oil Palms and Date Palms, IEEE Explore, pp 337-340, 2017 (2017 International Conference on Signal Processing and Communication (ICSPC), Coimbatore)
  • N Hemalatha and N.K Narayanan., “A Support Vector Machine approach for LTP using Amino Acid composition”, Lecture Notes in Electrical Engineering, Springer, Vol 396, 2016 (International conf on Signal, Networks, Computing and Systems, at JNU, New Delhi)
  • Hemalatha N, Brendon V.F, Shihab M.M and Rajesh M.K, “Machine Learning Algorithm for Predicting Ethylene Responsive Transcription Factor in rice using an Ensemble Classifier,” Procedia Computer Science, vol 49, pp. 128-135, 2015, (International conf on Advances in Computing, Communication and Control, Mumbai)
  • Hemalatha N, Rajesh M.K and Narayanan N.K, “A Machine learning approach for detecting MAP kinase in the genome of Oryza sativa L. ssp. Indica,” IEEE explore, DOI 0.1109/CIBCB.2014.6845513, 2014 (IEEE conference on Computaional Intelligence in Bioinformatics and Computational biology, Honululu)
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “An integrative system for Prediction of NAC proteins in rice using different feature extraction methods,” International Journal on Soft Computing (IJSCC), Vol.4(1), pp 9-21,2013
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “Identification and genome-wide analysis of novel tonolplast intrinsic protein (TIP) gene family in indica rice (O. sativa L.SUBSP. indica),” Proceedings of National seminar on innovative gene technologies for conservation and sustainable utilization of island biodiversity, pp 76, Andamans, 2012
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “Prediction of ERF and DREB Proteins Using Support Vector Machine,” Proceedings of National Conference on Advanced IT, Engineering and Management [SACAIM 2012], Mangalore, ISBN #- 978-93-5087-895-8, pp 113-117
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “Naïve Bayes Classifier for Classification of Expansin genes,” Proceedings of National seminar on Stochastic modeling (NSSM 2012), Kannur , Mar21-22, 2012
  • N.Hemalatha, M.K. Rajesh,. N. K. Narayanan, “Identification of putative erf and tip gene families in indica,” Proceedings of National conference on computing and communication, NCCC 2011, pp 20, Kottayam, India, 2011
    N Hemalatha & N K Narayanan, “Identification of Genes Related to Expansin Gene Family in Indica Rice using Bioinformatics tools”, “Proceedings of Kerala Science Congress, Peechi, pp 485- 486, Jan 28 – 31, 2010.
Other Significant Achievements
  • Resource person for a workshop on Big data analytics with Hadoop at Yenepoya degree college, 27th July 2022
  • Participated as Program Committee member and Reviewer in the 2022 IEEE World Conference on Applied Intelligence and Computing, June 17-19, 2022
  • Coordinated the online webinar/training on “Catching up with new IEEE Xplore features Awareness Session” at AIMIT 0n 25th Jan’22
  • Participated as  a Peer Reviewer of The 3rd International Conference on Machine Learning and Intelligent Systems (MLIS 2021), 8-11 November 2021
  • Resource person for Machine Learning workshop on 30/12/21 organized by ACM Kollam chapter in collaboration with ST. Thomas College of Engineering and Technology
  • Resource person for ATAL FDP on IoT framework development for Agriculture sector organised by LBS College of Engineering, Kerala, Sep 6-10, 2021
  • Received Certificate of Excellence in reviewing from Asian Journal of Research in Computer Science
  • Received Certificate of Excellence in reviewing from South Asian Journal of Social Studies and Economics
  • Participated as a Peer Reviewer of The 10th International Conference on Electronics, Communications and Networks (CECNet2020), July 2020
  • Participated as a Peer Reviewer for the 3rd International Conference on Machine Learning and Intelligent Systems (MLIS 2019), 19-22 November 2019
  • Participated as a Peer Reviewer for the 6th International Conference on Fuzzy Systems and Data Mining (FSDM 2020), July 2020
  • Presently conducting a 20 hrs online certification course on Foundations of Machine Learning, May 2020
  • Presently conducting a 20 hrs online certification course on Computers and Biological Sciences, June 2020
  • Planning to conduct a webinar on “Genetic modification in Eucalyptus – An industry perspective”, Dept. of Microbiology and Bioinformatics joint collaboration, June 2020
  • Guided Yanet Tejada from SUNY Cortland as part of study abroad & student exchange programme project namely “Development of a prediction tool for “Predicting malnutrition in children” in Python Programming language using Machine Learning”. March 2020
  • Talk to University Malaysia Sabah for doctors on “Genomics and Proteomics Analysis using Computational approach and Implementation of AI in healthcare, 2019
  • Conducted an online lecture through Skype ass part of UTAD Cross lecture series, “Bioinformatics Approach for Grape Processing” for Bioinformatics students at UTAD (2nd Oct, 2019)
  • Key note speaker at International Conference on Artificial Intelligence and Machine Learning (IAIM 2019 ), Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India, during 3rd to 5th April, 2019
  • Resource person for a National Workshop on Bioinformatics on 29th an‟2018 at Nehru Arts and Science College, Kanhangad, Kerala
  • Resource Person for a Workshop on Seminar on Bioinformatics organized by Department of Computer Science and Engineering, Sree Narayana Guru College of Engineering Technology, Kannur Kerala on 8th Sep‟2018
  • Coordinator for Workshop on NGS Data Analysis, Mar 2018 & 2019
  • Technical committee member of International Conference on Fuzzy Systems and data mining 2017
  • Resource person and Coordinator for FDP on Bioinformatics, Machine Learning Tools and Development, 11 to 13th Apr‟2016
  • Keynote address for National seminar on “Recent advances in Molecular Biology (RAMB-2016) 9 to 11th Mar, 2016
  • Resource Person for National Seminar on” Big data”, Kasargod Co-operative Arts and Science College, 8th Jan, 2016
  • Resource person for FDP on Research Methodology for Computer science and Bioinformatics, School of IT and Bioinformatics, 6 to 8th, Jan 2016
  • Keynote speaker at National seminar on recent trends in Biological science and research, Dept of Botany and Zoology, Kasargod Govt College, Kasaragod, 14-15 Dec, 2015
  • Keynote speaker at National seminar on Soft computing and Pattern recognition, Dept of Computer science, Kasargod Govt college, Kasragod, 4th Dec, 2015
  • Keynote speaker at National Workshop on Artificial Intelligence, Dept of Computer science, Kasargod Govt College, Kasragod, 30th Jan, 2015
  • Awarded Second prize for the best paper presentation at the National seminar on “Application of Bioinformatics in Agriculture”, 2014, CPCRI, Kasargod
  • Member of BOE of MCA dept at Kannur University and School of life sciences, Manipal
  • Member of BOE of UG and PG dept of Computer Science at Calicut University
  • Member of Question paper setter for NITTE
  • Reviewer for International journals: African journal of Biotechnology and Journal of Biophysics and Biotechnology