Dr. Tripti  Swarnkar

Department Master In Computer Application
Designation Professor
Educational Qualification MCA, MTech(CS), PhD IITKgp
E-Mail tswarnkar.mca@nitrr.ac.in
Contact Number 9437130794
Areas of Interest

Machine Learning, Deep Learning, Medical Omics Data and Image Data Analysis

Publications

BOOKS 

 

  • T. Swarnkar S. Patnaik, P. Mitra, S. Misra and M. Mishra Ambient Intelligence in Health Care; Smart Innovation, Systems and Technologies, Springer NatureISSN:2190-3018E-ISSN:2190-3026
  • T. Swarnkar and P. Mitra Unsupervised Learning for Gene Selection and Enrichment LAP LAMBERT Academic Publishing (2016-03-17 ) ISBN-13: 978-3-659-86038-6; ISBN-10:3659860387
  •  D. Mishra and T. Swarnkar, “Automata Theory, Language and Computation” Published by SUN India Publication, New Delhi, 2008

 

BOOK CHAPTERS

 
  • Nayak, Debasish Swapnesh Kumar, Subhashree Mohapatra, David Al-Dabass, and Tripti Swarnkar. "Deep learning approaches for high dimension cancer microarray data feature prediction: A review." Computational Intelligence in Cancer Diagnosis (2023): 13-41.
  • Mohapatra, Subhashree, Tripti Swarnkar, Manohar Mishra, David Al-Dabass, and Raffaele Mascella. "Deep learning in gastroenterology: a brief review." Handbook of computational intelligence in biomedical engineering and healthcare (2021): 121-149.
  • Mohapatra, Subhashree, Tripti Swarnkar, and Jayashankar Das. "Deep convolutional neural network in medical image processing." In Handbook of deep learning in biomedical engineering, pp. 25-60. Academic Press, 2021.
  • Saraf, Vasundhara, Lipsita Senapati, and Tripti Swarnkar. "Application and Progress of Drone Technology in the COVID-19 Pandemic: A Comprehensive Review." Computational Modeling and Data Analysis in COVID-19 Research (2021): 47-66.
  • Mahapatra, Saswati, Jayashankar Das, David Correa Martins-Jr, and Tripti Swarnkar. "Deep Learning Techniques for miRNA Sequence Analysis." Advanced AI Techniques and Applications in Bioinformatics (2021): 139-152.
  • Mahapatra, S., and T. Swarnkar. "Gene Selection Using Integrative Analysis of Multilevel Omics Data: A Systematic Review." Data Analytics in Bioinformatics: A Machine Learning Perspective (2021): 145-171.
  • Jhalia, Vrs, and Tripti Swarnkar. "A critical review on the application of artificial neural network in bioinformatics." Data Analytics in Bioinformatics: A Machine Learning Perspective (2021): 51-76.
  • Sucharita, Swati, Barnali Sahu, and Tripti Swarnkar. "A Comprehensive Study on the Application of Grey Wolf Optimization for Microarray Data." Data Analytics in Bioinformatics: A Machine Learning Perspective (2021): 211-248.
  • Mohanty, Namrata P., Sweta Shree Dash, and Tripti Swarnkar. "Analysis of Efficiencies Between EEG and MRI: A Survey." The Role of the Internet of Things (IoT) in Biomedical Engineering: Present Scenario and Challenges (2022): 69.
  • Nayak, Debasish Swapnesh Kumar, Saswati Mahapatra, and Tripti Swarnkar. "Gene Selection and Enrichment for Microarray Data—A Comparative Network Based Approach." Progress in Advanced Computing and Intelligent Engineering. Springer, Singapore, 2018. 417-427.
   

CONFERENCES                            

 

 

  • Swain, Rashmi Ranjan, Debasish Swapnesh Kumar Nayak, and Tripti Swarnkar. "A Comparative Analysis of Machine Learning Models for Colon Cancer Classification." In 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT), pp. 1-5. IEEE, 2023.
  • Nayak, Debasish Swapnesh Kumar, Abhilash Pati, Amrutanshu Panigrahi, Santanu Sahoo, and Tripti Swarnkar. "ReCuRandom: A hybrid machine learning model for significant gene identification." In AIP Conference Proceedings, vol. 2819, no. 1. AIP Publishing, 2023.
  • Mohanty, Subhra, Debasish Swapnesh Kumar Nayak, and Tripti Swarnkar. "A neural network framework for predicting Adenocarcinoma cancer using high-throughput gene expression data." In AIP Conference Proceedings, vol. 2819, no. 1. AIP Publishing, 2023.
  • Kumari, Binita, and Tripti Swarnkar. "Forecasting Daily Stock Movement Using a Hybrid Normalization Based Intersection Feature Selection and ANN." Procedia Computer Science 218 (2023): 1424-1433.
  • Nayak, Debasish Swapnesh Kumar, Sweta Padma Routray, Swayamprabha Sahooo, Santanu Kumar Sahoo, and Tripti Swarnkar. "A Comparative Study using Next Generation Sequencing Data and Machine Learning Approach for Crohn's Disease (CD) Identification." In 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS), pp. 17-21. IEEE, 2022.
  • Sahoo, Swayamprabha, Sweta Padma Routray, Debasish Swapnesh Kumar Nayak, and Tripti Swarnkar. "An Enhanced Web-based Tools for Multiple Sequence Alignment: A Comparative Approach." In 2022 3rd International Conference on Computing, Analytics and Networks (ICAN), pp. 1-5. IEEE, 2022.
  • Mahapatra, S., Prasath, R. and Swarnkar, T., 2022. Integrative Analysis of miRNA-mRNA Expression Data to Identify miRNA-Targets for Oral Cancer. In International Conference on Mining Intelligence and Knowledge Exploration (pp. 24-32). Springer, Cham.
  • Kumari, Binita, and Tripti Swarnkar. "A Comparative Analysis of Data Standardization Methods on Stock Movement." In Intelligent and Cloud Computing: Proceedings of ICICC 2021, pp. 401-417. Singapore: Springer Nature Singapore, 2022.
  • Pratik, S., Nayak, D.S.K., Prasath, R. and Swarnkar, T., 2022. Prediction of Smoking Addiction Among Youths Using Elastic Net and KNN: A Machine Learning Approach. In International Conference on Mining Intelligence and Knowledge Exploration (pp. 199-209). Springer, Cham.
  • Panigrahi, Santisudha, Bhabani Shankar Nanda, and Tripti Swarnkar. "Comparative Analysis of Machine Learning Algorithms for Histopathological Images of Oral Cancer." In Advances in Distributed Computing and Machine Learning, pp. 318-327. Springer, Singapore, 2022.
  • Hammadah, Nour Haj, Nilima R. Das, Mamata Nayak, and Tripti Swarnkar. "A Comparative Study of Deep Learning Algorithms for Identification of COVID-19 Disease Using Chest X-Ray Images." In Innovation in Electrical Power Engineering, Communication, and Computing Technology, pp. 165-172. Springer, Singapore, 2022.
  • Mohanty, Subhra, Saswati Mahapatra, and Tripti Swarnkar. "Deep Learning Techniques for pre-miRNA prediction: Current Challenges and Future Directions." In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), pp. 1-4. IEEE, 2021.
  • Sucharita, Swati, Barnali Sahu, and Tripti Swarnkar. "An Empirical Analysis of PCA-SVM Model for Cancer Microarray Data Classification." In Advances in Intelligent Computing and Communication, pp. 495-504. Springer, Singapore, 2021.
  • Mohapatra, Subhashree, and Tripti Swarnkar. "Comparative Study of Different Orange Data Mining Tool-Based AI Techniques in Image Classification." In Advances in Intelligent Computing and Communication, pp. 611-620. Springer, Singapore, 2021.
  • Nayak, Janmenjoy, Kanithi Vakula, Paidi Dinesh, Bighnaraj Naik, Subhashree Mohapatra, Tripti Swarnkar, and Manohar Mishra. "Intelligent computing in IoT-enabled smart cities: a systematic review." Green Technology for Smart City and Society (2021): 1-21.
  • Mohanty, Namrata P., Sweta Shree Dash, Sandeep Sobhan, and Tripti Swarnkar. "Prediction of Depression Using EEG: A Comparative Study." In Progress in Advanced Computing and Intelligent Engineering, pp. 3-11. Springer, Singapore, 2021.
  • Panigrahi, Santisudha, Anuja Nanda, and Tripti Swarnkar. "A Review on Transfer Learning." In Intelligent and Cloud Computing, pp. 781-789. Springer, Singapore, 2021.
  • Tripathy, Sushreeta, and Tripti Swarnkar. "Application of big data problem-solving framework in healthcare sector—Recent Advancement." In Intelligent and Cloud Computing, pp. 819-826. Springer, Singapore, 2021.
  • Mohapatra, Subhashree, and Tripti Swarnkar. "Artificial intelligence for smart healthcare management: Brief study." In Intelligent and cloud computing, pp. 365-373. Springer, Singapore, 2021.
  • Mohapatra, Subhashree, Namita Bajpai, Tripti Swarnkar, and Manohar Mishra. "Raw Data Redundancy Elimination on Cloud Database." In Computational Intelligence in Pattern Recognition, pp. 395-405. Springer, Singapore, 2020.
  • Pradhan, Tanaya Priyadarshini, N. K. Debata, and Tripti Swarnkar. "Understanding Antibiotic Resistance Using Different Machine Learning Approaches." In Advanced Computing and Intelligent Engineering, pp. 63-73. Springer, Singapore, 2020.
  • Kumari, Binita, and Tripti Swarnkar. "Importance of data standardization methods on stock indices prediction accuracy." In Advanced computing and intelligent engineering, pp. 309-318. Springer, Singapore, 2020.
  • Mohapatra, Saumendra Kumar, Tripti Swarnkar, and Mihir Narayan Mohanty. "Design of Random Forest Algorithm Based Model for Tachycardia Detection." In Advanced Computing and Intelligent Engineering, pp. 191-199. Springer, Singapore, 2020.
  • Tripathy, Sushreeta, and Tripti Swarnkar. "A comparative analysis on filtering techniques used in preprocessing of mammogram image." In Advanced Computing and Intelligent Engineering, pp. 455-464. Springer, Singapore, 2020.
  • Mohapatra, Srikanta Kumar, Sushanta Kumar Kamilla, Tripti Swarnkar, and Gyana Ranjan Patra. "Forecasting World Petroleum Fuel Crisis by Nonlinear Autoregressive Network." In New Paradigm in Decision Science and Management, pp. 67-76. Springer, Singapore, 2020.
  • Namrata Mohanty, Sweta Dash and Tripti Swarnkar, "Prediction of Depression using EEG: A Comparative Study", 2019 4th International Conference on Advance Computing and Intelligent Engineering.
  • Kharya, Shweta, Sunita Soni, and Tripti Swarnkar. "Weighted Bayesian Association Rule Mining Algorithm to Construct Bayesian Belief Network." 2019 International Conference on Applied Machine Learning (ICAML). IEEE, 2019. 
  • Panigrahi, Santisudha, and Tripti Swarnkar. "Automated Classification of Oral Cancer Histopathology images using Convolutional Neural Network." 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019.
  • Panigrahi, Santisudha, Juber Rahmen, Swagatika Panda, and Tripti Swarnkar. "Fractal Geometry for Early Detection and Histopathological Analysis of Oral Cancer." In International Conference on Mining Intelligence and Knowledge Exploration, pp. 177-185. Springer, Cham, 2019.
  • Mohanty, Itishree, P. A. Pattanaik, and Tripti Swarnkar. "Automatic Detection of Malaria Parasites Using Unsupervised Techniques." International Conference on ISMAC in Computational Vision and Bio-Engineering. Springer, Cham, 2018.
  • Pattanaik, Priyadarshini Adyasha, Tripti Swarnkar, and Debdoot Sheet. "Object detection technique for malaria parasite in thin blood smear images." In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2120-2123. IEEE, 2017.
  • Mohapatra, Srikanta Kumar, Tripti Swarnkar, Sushanta Kumar Kamilla, and Susanta Kumar Mohapatra. "Forecasting Hydrogen Fuel Requirement for Highly Populated Countries Using NARnet." In International Conference on Next Generation Computing Technologies, pp. 349-362. Springer, Singapore, 2017.
  • Panda, Subhalaxmi, Priyadarshini Adyasha Pattanaik, and Tripti Swarnkar. "A Higher Education Predictive Model Using Data Mining Techniques." DIAS/EDUDM@ ISEC. 2017.
  • Swarnkar, T., Simoes, S.N., Martins, D.C., Anurak, A., Brentani, H., Hashimoto, R.F. and Mitra, P., 2014, November. Multiview clustering on ppi network for gene selection and enrichment from microarray data. In Bioinformatics and Bioengineering (BIBE), 2014 IEEE International Conference on (pp. 15-22). IEEE.
  • Swarnkar, T. and Mitra, P., 2012, October. Graph based unsupervised feature selection for microarray data. In Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on (pp. 750-751). IEEE.
  • Saswati, Mahapatra, and Swarnkar Tripti. "An Enhancement to BioPPISVMExtractor Using Multidimensional Support Vector Machine." In International Conference on Advances in Communication, Network, and Computing, pp. 658-662. Springer, Berlin, Heidelberg, 2011.
  • Dash, Archana, Tripti Swarnkar, and Mamata Nayak. "Advanced Bioinformatics Approach in Machine Learning for Analyzing Genome Wide Expression Profiles and Proteomic Data Sets." In International Conference on Advances in Communication, Network, and Computing, pp. 305-307. Springer, Berlin, Heidelberg, 2011.
  • Tripathy, Ardhendu, Kaberi Das, and Tripti Swarnakar. "Dimensionality Reduction of Data Warehouse Using Wavelet Transformation: An Enhanced Approach for Business Process." In International Conference on Advances in Communication, Network, and Computing, pp. 523-525. Springer, Berlin, Heidelberg, 2011.
  • S. Patnaik, T. Swarnkar, “Microarray Analysis Using Statistical Approach”, International Conference on Computer Technology (ICCT-2010), 3rd -5th Dec 2010 Organized by C.V. Raman College of Engg. , International Journal of Computer and Communication Technology, IPM Pvt. Ltd., Interscience Campus, Vol-2 Issue 2,3,4,  2010, 223-227
  • P. Mohapatra, T. Swarnkar, “Graph Theoretic Techniques for Clustering and Biclustering gene expression data” , International Conference on Computer Technology (ICCT-2010),3rd -5th Dec 2010 Organized by C.V. Raman College of Engg., International Journal of Computer and Communication Technology, IPM Pvt. Ltd., Interscience Campus, Vol-2 Issue 2,3,4,  2010, 228-236
  • R. Priyadarshini, T. Swarnkar,  N. Dash, R. Mishra “Selection of Ideal Transfer Function to Classify Different Datasets Using Artificial Neural Network”, International Conference in Computer Communication Technology and Applications [ACCTA -2010 ],3rd -5th  August 2010 International Journal of Computer and Communication Technology, IPM Pvt. Ltd., Interscience Campus, Vol-1 Issue 2,3,4 2010, 49-54. ISSN(ONLINE):2231-0371 ISSN(PRINT):0975-7449
  • SahooB.,SahuS.K.SwarnkarT.,“Prediction of Sub-cellular localization of  Scramblasé Protein Family,” International Conferencein  Computer Communication Technology and Applications [ACCTA2010] 3rd-5th Aug 2010 Organized by C.V.Raman College of Engg. International Journal of Computer and Communication                 Technology, IPM Pvt.Ltd., Interscience Campus,Vol-1 Issue 2, 3, 4 2010,79-87. ISSN(ONLINE):2231-0371 ISSN(PRINT):0975-7449
  • B. Sahoo, T. Swarnkar, and S. Padhy, “Implementation of Parallel Edit Distance Algorithm for Protein Sequences Using Reconfigurable Accelerator,” in Proceedings of the International Conference on Advances in Computing, Communication and Control, ser. ICAC3 ’09. New York, USA: ACM, 2009, pp. 26–29.
  • M. Puthal, T. Swarnkar “Advanced-Radix Sort – A Technique for Optimization of radix Sort. ”  IEEE Advanced Computing Conference ( IACC’09)  on 6th & 7th Mar-2009, Thapar University, IEEE Delhi Section and IEEE Computer Society Chapter (IEEE Delhi Section), 125th Anniversary Celebrations of IEEE.
  • U. Sahu, T. Swarnkar, “Microarray Technology: A survey”, A National Conference BITCON 2008, from 7-8 Nov 2008 organized by Bhilai Insitute of Technology.
   

 

  

 

    

 

JOURNALS

 

  • Routray, Sweta Padma, Swayamprabha Sahoo, Debasish Swapnesh Kumar Nayak, Sejal Shah, and Tripti Swarnkar. "Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis." SN Computer Science 5, no. 1 (2024): 147.
  • Colistin the last resort drug in 21st century antibiotics to combat Multidrug resistance superbugs, Sahoo, S., Mohanty, J.N., Routray, S.P., Shah, S., Swarnkar, T., Journal of Experimental Biology and Agricultural Sciences, 2023, 11(6), pp. 919–929
  • Sucharita, Swati, Barnali Sahu, and Tripti Swarnkar. "An Elevated Cancer Detection Methodology Using a Hybrid Transfer Learning Approach for Classifying Microarray Cancer Data." International Journal of Intelligent Systems and Applications in Engineering 11, no. 11s (2023): 336-351.
  • Sucharita, Swati, Barnali Sahu, Tripti Swarnkar, and Saroj K. Meher. "Classification of cancer microarray data using a two-step feature selection framework with moth-flame optimization and extreme learning machine." Multimedia Tools and Applications (2023): 1-28.
  • Mohapatra, Subhashree, Girish Kumar Pati, Manohar Mishra, and Tripti Swarnkar. "Gastrointestinal abnormality detection and classification using empirical wavelet transform and deep convolutional neural network from endoscopic images." Ain Shams Engineering Journal 14, no. 4 (2023): 101942.
  • Panigrahi, Santisudha, Bhabani Sankar Nanda, Ruchi Bhuyan, Kundan Kumar, Susmita Ghosh, and Tripti Swarnkar. "Classifying histopathological images of oral squamous cell carcinoma using deep transfer learning." Heliyon 9, no. 3 (2023).
  • Kharya, Shweta, Sunita Soni, and Tripti Swarnkar. "Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules." International Journal of Information Technology 15, no. 2 (2023): 1117-1125.
  • Kumari, Binita, Srikanta Patnaik, and Tripti Swarnkar. "Feature selection for stock price prediction: a critical review." International Journal of Intelligent Enterprise 10, no. 1 (2023): 48-72.
  • Sahu, Barnali, Siddharth Saurabh, and Tripti Swarnakar. "Covid-19 Patient's CT Images classification: StackAlexNet-19 A Deep Learning Approach." International Journal of Computing and Digital Systems 12, no. 1 (2022): 1453-1464.
  • Mohapatra, S., Pati, G.K., Mishra, M. and Swarnkar, T., 2022. UPolySeg: A U-Net-Based Polyp Segmentation Network Using Colonoscopy Images. Gastroenterology Insights, 13(3), pp.264-274.
  • Kharya, S., Soni, S. and Swarnkar, T., 2022. Generation of synthetic datasets using weighted bayesian association rules in clinical world. International Journal of Information Technology, 14(6), pp.3245-3251.
  • Panigrahi, S., Das, J. and Swarnkar, T., 2020. Capsule network based analysis of histopathological images of oral squamous cell carcinoma. Journal of King Saud University-Computer and Information Sciences.
  • Kharya, S., Onyema, E.M., Zafar, A., Wajid, M.A., Afriyie, R.K., Swarnkar, T. and Soni, S., 2022. Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets. Computational Intelligence and Neuroscience, 2022.
  • Rahman, Juber, Swagatika Panda, Santisudha Panigrahi, Neeta Mohanty, Tripti Swarnkar, and Umashankar Mishra. "Perspective of nuclear fractal dimension in diagnosis and prognosis of oral squamous cell carcinoma." Journal of Oral and Maxillofacial Pathology: JOMFP 26, no. 1 (2022): 127.
  • Panigrahi, Santisudha, Ruchi Bhuyan, Kundan Kumar, Janmenjoy Nayak, and Tripti Swarnkar. "Multistage classification of oral histopathological images using improved residual network." Mathematical Biosciences and Engineering 19, no. 2 (2022): 1909-1925.(IF-2.08)
  • Mahapatra, S., R. Bhuyan, J. Das, and T. Swarnkar. "Integrated multiplex network based approach for hub gene identification in oral cancer." Heliyon 7, no. 7 (2021): e07418.(IF-2.85)
  • Mohapatra, Subhashree, Janmenjoy Nayak, Manohar Mishra, Girish Kumar Pati, Bignaraj Naik, and Tripti Swarnkar. "Wavelet transform and deep convolutional neural network-based smart healthcare system for gastrointestinal disease detection." Interdisciplinary Sciences: Computational Life Sciences 13, no. 2 (2021): 212-228.(IF-2.233)
  • Kumari, Binita, and Tripti Swarnkar. "Stock movement prediction using hybrid normalization technique and artificial neural network." International Journal of Advanced Technology and Engineering Exploration 8, no. 83 (2021): 1336.
  • Pattanaik, Priyadarshini Adyasha, Tripti Swarnkar, and Debabala Swain. "Deep filter bridge for malaria identification and classification in microscopic blood smear images." International Journal of Advanced Intelligence Paradigms 20, no. 1-2 (2021): 126-137.
  • Nayak, Subrat Kumar, Pravat Kumar Rout, Alok Kumar Jagadev, and Tripti Swarnkar. "Elitism based multi-objective differential evolution for feature selection: A filter approach with an efficient redundancy measure." Journal of King Saud University-Computer and Information Sciences 32, no. 2 (2020): 174-187.(IF-13.473)
  • Tripathy, Sushreeta, and Tripti Swarnkar. "Performance observation of mammograms using an improved dynamic window based adaptive median filter." Journal of Discrete Mathematical Sciences and Cryptography 23, no. 1 (2020): 167-175.(IF-0.767) 
  • Panigrahi, Santisudha, and Tripti Swarnkar. "Machine learning techniques used for the histopathological image analysis of oral cancer-a review." The Open Bioinformatics Journal 13, no. 1 (2020).(IF-0.917) 
  • Panigrahi, Santisudha, Jayshankar Das, and Tripti Swarnkar. "Capsule network based analysis of histopathological images of oral squamous cell carcinoma." Journal of King Saud University-Computer and Information Sciences (2020).(IF-13.473)
  • Tripathy, Sushreeta, and Tripti Swarnkar. "Unified preprocessing and enhancement technique for mammogram images." Procedia Computer Science 167 (2020): 285-292.
  • Tripathy, Sushreeta, and S. Tripti. "Imaging and machine learning techniques used for early identification of cancer in breast mammogram." Int. J. Recent Technol. Eng 8, no. 3 (2019): 7376-7383.
  • Pattanaik, Priyadarshini Adyasha, and Tripti Swarnkar. "Vision-based malaria parasite image analysis: a systematic review." International Journal of Bioinformatics Research and Applications 15, no. 1 (2019): 1-32.
  • S. Mahapatra, B. Mandal, T. Swarnkar , "Biological networks integration based on dense module identification for gene prioritization from microarray data" Gene Reports 12  (2018), 276-288.
  • Pattanaik, P. A., and Tripti Swarnkar. "Comparative Analysis of Morphological Techniques for Malaria Detection." International Journal of Healthcare Information Systems and Informatics (IJHISI) 13.4 (2018): 49-65.
  • Nayak, Subrat Kumar, et al. "Elitism based multi-objective differential evolution for feature selection: A filter approach with an efficient redundancy measure." Journal of King Saud University-Computer and Information Sciences (2017).(IF-13.473)
  • Bijeta Mandal, Saswati Mahapatra, Tripti Swarnkar "Comparative Study of Computational Tools for Hub Gene Selection from Genetic Network using Microarray Data". Polibits 55: 73-79 (2017)
  • Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev & Tripti Swarnkar (2018): Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique, Connection Science, 2018 Jun:1-26(IF-1.971)
    • Patnaik A.P, Swarnkar T., "An Efficient Experimental Comparative Analysis of Morphological Methods for Malaria Detection", International Journal of Health Information Systems and Informatics (IJHISI), IGI Global Publishers.
    • Swarnkar T, Simões SN, Anura A, Brentani H, Chatterjee J, Hashimoto RF, Martins DC, Mitra P. Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data. Network Modeling Analysis in Health Informatics and Bioinformatics. 2015 Dec 1; 4(1):33.(IF-1.195)
    • Swarnkar, T. and Mitra, P., 2015. Graph-based unsupervised feature selection and multiview clustering for microarray data. Journal of Biosciences, 40(4), pp.755-767.(IF-1.826)
    • S. Rout, T. Swarnkar, S. Mahapatra, D. Senapati, “Protein Local Structure Prediction through Improved Clustering Support Vector Machines (ICSVM)”, in International Journal of Advanced Research in Computer Science, Vol 2(6), Nov-Dec 2011,255-258, ISSN No. 0976-5697.
    • S. Mahapatra, T. Swarnkar, “A Domain-Based Frequency Count Approach for Protein-Protein Interaction Prediction using Support Vector Machine”, in International Journal of Computer Science and Information Technologies, Vol. 2 (4) , 2011, 1400-1402,ISSN 0975-9646
    • A. Tripathy, K. Das, T. Swarnkar,” Pervasive SAS Techniques for Designing a Data Warehouse for an Integrated Enterprise: An Approach towards Business Process”  in the journal IJCSIT (International Journal of Computer Science & Information Technology) ,Vol. 2 (2) , 2011, 853-861, ISSN-0975-9646
    • A. Sahu, T. Swarnkar, K. Das,” Estimation Methods for Microarray Data with Missing Values:A Review”  in the journal IJCSIT (International Journal of Computer Science & Information Technology) (Vol. 2 (2), 2011, 614-620) ISSN-0975-9646
    • A. Dash, M. Nayak, T. Swarnkar, K. Das,” Accomplishments & Key Challenges in Post Genome Era of Bioinformatics: An Advancement”, in the journal IJCSIT (International Journal of Computer Science & Information Technology)Vol. 2 (2) , 2011, 812-816, ISSN-0975-9646
    • S.Sahoo, Tripti Swarnkar, “A Theoretical Approach for Augmenting Association Rule Mining to Predict Protein-Protein Interaction” IJCSIT (International Journal of Computer Science & Information Technology) Vol.2 (2), 2011, 776-779, ISSN-0975-9646.
    • Bineeta Rath, Tripti Swarnkar,” Subset Selection in Large Dimensionality Microarray using Wrapper Method: A Review” IJCSIT  (International Journal of Computer Science & Information Technology) Vol.2(2), 2011, 792-798, ISSN-0975-9646.
    • T. Swarnkar, Sk. Mujaffor, and R. Bandyopadhaya “Sequence Alignment and Phylogenetic Tree Construction of Malarial Parasites”, International Conference in Computer Communication Technology and Applications [ACCTA-2010] 3rd-5thAugust 2010 Organized by C.V.Raman College of Engg., International Journal of Computer and Communication Technology, IPM Pvt.Ltd., Interscience Campus, Vol-1 Issue2,3,4 2010, 72-78. ISSN(ONLINE):2231-0371 ISSN(PRINT):0975-7449
    • T.Swarnkar, C.Das “ Multiclass classification Problem for Cancer data: using a clustering k-NN SVM(CKSVM)“,International Journal of Recent Trends in Engineering, Vol2, No.2, November 2009 as LETTERS

 

Other Info.

PERSONAL STATEMENT

 

My research is focused on understanding the implicit information from various biological omic data and leveraging machine learning algorithms for gene selection. Currently, my research interest includes Machine Learning, Deep Learning, Data Mining, Computational Biology and Medical Image Analysis.

I consider bioinformatics to be an interface between Statistics, Computer Science, and Biology. The combination of these many different fields is what makes the field so exciting. A good bioinformaticist is the glue that can hold a Multidisciplinary team together.  Although people have learned a lot from these approaches and will undoubtedly continue to do so, making the most significant contributions requires a different thought process than those associated with classical biology, statistics, mathematics, or computer science. My aspiration is to work at the interface of these different fields or Multidisciplinary Environment, or at least be able to converse effectively with others that hail from these backgrounds.

 

EMPLOYMENT

  • Lecturer, Bhilai Institute of Technology, Bhilai (C.G.), India, 1998-1999
  • Lecturer, Dept. Computer Science & Engineering, Institute of Technical Education & Research Bhubaneswar Odisha, 1999-2005
  • Assistant Professor, Dept. of Information & Technology, Institute of Technical Education & Research, Siksha ‘O’ Anusandhan Deemed to be University (SOADU) Bhubaneswar Odisha, 2005-2008
  • Assistant Professor, Dept. of Computer Application, Institute of Technical Education & Research,  Siksha ‘O’ Anusandhan Deemed to be University (SOADU) Bhubaneswar Odisha, 2008-2010
  • Associate Professor, Dept. Computer Application, Institute of Technical Education & Research, Siksha ‘O’ Anusandhan Deemed to be University (SOADU) Bhubaneswar Odisha, 2010-15th Jan 2018
  • Professor and Head, Dept. Computer Application, Institute of Technical Education & Research, Siksha ‘O’ Anusandhan Deemed to be University (SOADU) Bhubaneswar Odisha,  January 2018- April 2022
  • Professor and Head, Center of Biomedical Engineering Research & Application, Institute of Technical Education & Research, Siksha ‘O’ Anusandhan Deemed to be University (SOADU)  Bhubaneswar Odisha, April 2022- 26th Feb 2024
  • Professor Department of Computer Applications, National Institute of Technology (NITRR) Raipur, CG since 29th Feb 2024

 

PROFESSIONAL MEMBERSHIPS

  • Life Member of Orissa Information Technology Society (OITS).Mem.No:L05/250
  • Senior Member of IEEE, IEEE GRSS, IEEE EMBS, WIE AG Mem.No:80761725
  • Life Member IET, Mem.No.: 1100570625

FUNDING & ACADEMIC AWARDS

 

  • Best Chapter Award for 2023 to IEEE WIE Bbsr Chapter during my tenure as WIE Chair
  • Travel Grant by Department of Biotechnology (DBT) India and IIT Kharagpur for: Presenting paper in BIBE 2014: The 14th IEEE International Conference on BioInformatics and BioEngineering from Nov 10-12 2014 Boca Raton, USA. 
  • Academic visit to University of Maryland USA, Institute for Genomics and Multiscale Biology Department of Genetics and Genomic Sciences Mount Sinai School of Medicine, New York City USA and Department of Statistics University of Warwick Coventry UK.
  • The Editorial Advisory Board of the IGI Global Book, titled "Managing Resources for Futuristic Wireless Networks"
  • Reviewer for a book titled “Basics in Bioinformatics and Computational Genomics” 

 

 

 

SPONSERD PROJECT

 

  • Principle Investigator of Project on "Validation of Artificial Intelligence (AI) based models in screening and diagnosis of diseases in routine clinical practices", sponsored by Intel India 

 

 

REVIEWER

 

Conferences

 

  • International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2016-2019)
  • Mining Intelligence and Knowledge Exploration (MIKE 2014 -2018).
  • IEEE  TechSym 2014
  • IEEE ANTS 2017: 11th IEEE International Conference on Advanced Networks and Telecommunications Systems
  • IEEE ICAML-2019: International Conference on Applied Machine Learning
  • IEEE INDISCON-2022

 

Journals

 

  • IEEE Transactions on Cybernetics
  • IEEE Journal of Biomedical and Health Informatics
  • IEEE Access
  • Advances in Science, Technology and Engineering Systems Journal.(ASTESJ)
  • Interdisciplinary Sciences - Computational Life Sciences (INSC) 
  • Springer Journal of the Institution of Engineers (India).
  • Elsevier Journal of Computer Methods and Programs in Biomedicine
  • Elsevier Briefings in Bioinformatics.
  • Elsevier SoftwareX
  • Elsevier Computational Biology and Chemistry
  • Elsevier Computer Methods and Programs in Biomedicine
  • Elsevier Engineering Applications of Artificial Intelligence
  • Taylor and Francis International Journal of Computer Mathematics: Computer Systems Theory
  • Inderscience International Journal of Computational Science and Engineering (IJCSE).
  • Inderscience International Journal of Communication Networks and Distributed Systems (IJCNDS)
  • Inderscience International Journal of Bio-Inspired Computation
  • BMC Bioinformatics
  • Springer SN Computer Science Journal
  • Wiley WIRES Data Mining And Knowledge Discovery

 

INVITED TALKS

 

  • Rama Devi Women University, BBSR 2016
  • Bhilai Institute of Technology (BIT) Chattisgarh 2016
  • Women in Engineering session of International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2016)
  • Women Techmakers is Google's global program 2017
  • Research Trends in Social Media Analytics” under TEQIP – II 2017 at Panjab University – UIET department Chandigarh.
  • Sai International School Bhubaneswar SaiTEDx
  • Invited Talk WIE Mini Conference IEEE ANTS 2017: 11th IEEE International Conference on Advanced Networks and Telecommunications Systems
  • Bootcamp on Machine Learning, organized by students of ITER, 2019.
  • Two-week Hands-On Faculty Development Program on "Data Science & Big Data Analytics” organized by G.Pulla Reddy Engineering College, Kurnool, Andhra Pradesh26th August – 7th September 2019
  •  National seminar on Impact of Computer Science and Information Technology on Modern Society  held on 18-19 January 2020, at Government E.R.Rao PG Science College, BIlaspur(CG)
  • Two-week Hands-On Faculty Development Program on " Research Trends In Image Processing With Machine Learning And Deep Learning” organized by ECE Department G.Pulla Reddy Engineering College, Kurnool, Andhra Pradesh 21st – 25th July 2020
  • Two-week Hands-On Faculty Development Program on "Artificial Intelligence & Deep learning” organized by CSE Department G.Pulla Reddy Engineering College, Kurnool, Andhra Pradesh 23rd– 27th July 2020
  • One-week Hands-On AICTE sponsored ATAL Faculty Development Program on "Introduction to Artificial Intelligence” organized by CSE Department of G.Pulla Reddy Engineering College, Kurnool, Andhra Pradesh1st Feb – 5th Feb 2021
  • One-week online Faculty Development Programme (FDP) on ‘Network Science: Theory, Challenges and Applications’ under the ATAL AICTE FDP programme from 23rd- 27th August 2021 organized by Amity University Rajasthan, Jaipur, India
  • One-week Hands-On AICTE sponsored ATAL Faculty Development Program on "Deep Learning & Neural Network” organized by CSE Department of RIT Roorkee, Dehradun, Uttarakhand8th– 13th Nov 2021
  • One-week Hands-On AICTE sponsored ATAL Faculty Development Program on "Deep Learning for Natural Language Processing” organized by IT Department of BIT Autonomous College, Durg, Chattisgarh15th – 19th Nov. 2021
  • DST sponsored 5 days FDP on Artificial intelligence and Big data in Biology, Healthcare and Cancer research. from 25th-29th  July, 2022, hosted by Marwadi University Rajkot Gujrat
  • Invited as a panellist in Entrepreneurship Track i.e., Ideathon &Pitchfest of IEEE RMC-2022 (Returning Mothers Conference) held at Kalinga Institute of Industrial Technology, Odisha from4-5th November 2022
  • Keynote  speaker in ICACIE-2022 Organized by DRIEMS (Autonomous) Engineering College, Cuttack during 23-24 December,2022
  • IEEE Student Branch MNNIT Allahabad as a guest speaker at International Women's day on March 09th, 2023 in online mode.
  • IEEE WIE JSSATEN (Jagadguru Sri Shivarathreeshwara Academy of Technical Education, Noida) as a panellist in a panel discussion on the topic "Passion into action: Work-Life Management of Women ", at International Women's day on March 10th, 2023 in online mode.
  • Invited Speaker in International Conference on Biological Applications of Nanoparticles (ICON-BIO 2023)” on April 19th, 2023, organised by Mag Genome technologies Pvt. Ltd. In association with Anna University, Chennai in hybrid mode
  • Invited speaker by IEEE Computer Society Student Branch Chapter, Indian Institute of Technology (IIT) Kharagpur to deliver a webinar on GENE SELECTION & HUB GENE IDENTIFICATION USING MULTI OMICS DATA AND MACHINE LEARNING on 22nd April 2023
  • Invited talk on 28th April 2023on the event  AI4S: Academic and Industrial Popular lecture series organized by the Department of Computer Science and Application of Atal Bihari Vajpayee University (A State public University), Bilaspur (C.G.), India
  • Invited speaker on International Conference on Advancement in Science, Management, Technology, Social Sciences & Humanities-2023 (ICASMTSSH-23)from 29th-30th April, 2023 organized by Sant Gahira Guru Vishwavidyalaya, Ambikapur, C.G., Indiain  Association with American Institute of Management & Technology (AIMT) USA and University of Maryland Eastern Shore, USA.
  • Invited speaker and panellist at IEEE R10 HTC-2023 held from 16th -18th Oct 2023 hosted by Marwadi University, Rajkot India.
  • Interactive session with 1st year MBBS students of IMS SUM hospital SOADU on Artificial Intelligence & Medical Informatics  Nov 2023.
  • Invited speaker to a AICTE sponsored Workshop on “HUMAN-AI Collaboration: The way forward to Generative AI” on 11th Dec 2023 organised by C. V. Raman Global University, Bhubaneswar, Odisha.
  • Invited speaker to a seminar on “Exploring Research Areas Using Machine Learning” organised by Ajay Bijay Institute of Technology (ABIT), Cuttak Odisha on 6th Feb 2024.

 

 

WORKSHOP/ CONFERENCE ORGANIZED

 

  • International IEEE Conference on Ambient Intelligence in Health Care (ICAIHC 2022),17th-18th Nov 2023 Program Chair
  • Core Committee member and Track Chair for Ideathon & Pitchfest Track of IEEE Returning Mother Conference (RMC-2023) hosted by The Northcap University Gurugram, Haryana from 26th -27th Oct 2023.
  • Track Chair for Advances in Molecular Medicine at IEEE R-10 HTC-2023 held from 16th -18th Oct 2023 hosted by Marwadi University, Rajkot India.
  • Two days hands on Workshop on Remote Sensing and their Applications 2nd -3rd June 2023 in collaboration with IEEE GRSS Kolkata Chapter
  • International Springer Conference on Ambient Intelligence in Health Care (ICAIHC 2022) 15th-16th April 2022  Program Chair
  • IEEE International Symposium on Biomedical Imaging(IEEE ISBI-2022) 28th-31st March 2022 WII Chair
  • International Springer Conference on Advanced Computing and Intelligent Engineering (ICACIE 2018) 22nd-24th Dec 2019 Program Chair
  • International Conference on Applied Machine Learning (ICAML 2019) 27th-28th Sep 2019 Program Chair
  • International Springer Conference on Advanced Computing and Intelligent Engineering (ICACIE 2018) 22nd-24th Dec 2018 Organizing Chair
  • Core Committee member and chair Academic Committee on behalf of SOADU as host Organisation for Technical Sessions in National Children's Science Congress (NCSC) 26th-31st Dec 2018.
  • IEEE ANTS 2018 16th-19th Dec 2018: 12th IEEE International Conference on Advanced Networks and Telecommunications Systems Tutorial Chair
  • Two days Induction workshop on HPC for Deep Learning  from 23rd -24th of August 2018.
  • WIE Mini Conference IEEE ANTS 2017: 11th IEEE International Conference on Advanced Networks and Telecommunications Systems WiE Co-Chair
  • Five days Deep learning & Visual Computing Winter School (19-23rd Dec 2017)
  • One day Workshop on Bioinformatics- Remote Control of gene Activity (9th Nov 2017)
  • Five days Deep learning & Visual Computing Winter school  (DLVC 2017)(19-23rd Dec 2017)
  • National workshop on deep Learning & it’s Application (NWDLA 2016)
  • Sun Solaris Administration part-I 2009
  • System Administration for Solaris 10 OS Part I 2009
  • National Conference on Computational Biology (NCCB –2009)
  • Machine Learning Techniques and its applications 2008
  • UML Design using Visual Paradigm a software   Engineering tool 2008
  • Matlab Induction program 2008
  • Algorithm for Bio-Informatics (NWAB –2008)
  • National workshop on Algorithm analysis and Design (NWAD 2005)

 

TEACHING

 

  • Initiated design of many Elective courses in the Computer Science Department: Datamining, Algorithm for Bioinformatics, Machine learning, Data Science, Deep Learning
  • Under Graduate Courses:  BTech, BCA 
  • Post Graduate Courses:  MCA and MTech
  • Doctoral Courses : PhD
  • Visiting Faculty: Department of Computer Science & Engineering, Bhilai Institute of Technology, Bhilai (CG)
  • Guided:
    • Under graduate: More than 40 groups
    • Post graduate: More than 60 (MCA & MTech)
    • PhD Scholars:6 (completed)  5 (Cont…)

 

ADMINISTRATION

 

  • HOD, Department of CA, ITER, SOADU for three tenure from 2002 to 2004; 2009-2011 and Jan 2018- April 2022.
  • Head Multidisciplinary Research Centre of Biomedical Engineering & Applications at SOADU from April 2022- Feb 2024.
  • Chairman Board of studies for CA Dept. ITER SOA University.
  • Member of Disciplinary Committee of ITER  SOADU(2009-2021).
  • Member of Regulation Committee of SOA, University.
  • Member of Academic Council of SOA, University.
  • Member of Core Anti Ragging Committee of ITER SOADU.
  • Member of PhD Review committee of CSE Department of ITER, SOADU.
  • Professor-in-Charge, Examination, ITER SOADU from October 2007 to October 2008.
  • Convener/ Principal organizer for many workshops and Winter School.
  • Principal organizer for many Invited talks.
  • Course coordinator for BTech 8th Sem Data Mining course at ITER SOADU.
  • Faculty advisor for CSIT sec-D 2015 batch ITER, SOADU.
  • Organizing committee member for International Conferences.
  • Member of selection board for PhD in Computer Science at ITER SOADU from 2015-2023
  • Technical Program Committee (TPC) Member for many International Conferences
  • Organizing chair for WIE Track of ANTS-2017.
  • Organizing Chair for Women in Imaging (WII) for IEEE ISBI-2022
  • Established collaboration with IIT Kharagpur and Intel India for MIRIAD project named AI for Screening Radiology
  • IEEE Bhubaneswar Subsection Founder WIE Chair (2022-23)
  • IEEE GRSS Kolkata Chapter EC member
  • Established a Multidisciplinary Research Lab Computational Intelligence Applied Multidisciplinary Research Lab   (CIAMR Lab) at ITER SOADU with an access to high performance computing systems.

 

PERSONAL DETAILS

 

Gender: Female

Date of Birth: 24th November 1973

Marital Status: Married

Linguistic Ability: Hindi, English & Odiya

Nationality: Indian

Personal Strength: Leadership skills, Self-confidence, Sincere, Optimism and Hard working