Wassan, J.T., Wang, H. and Zheng, H., 2023.T. Developing a new Phylogeny-driven Random Forest Model for Functional Metagenomics, IEEE Transactions on Nano Bioscience 

Ghuriani,V., Wassan,J.T., et al. 2023, April. An Integrative Approach Towards Recommending Farming Solutions for Sustainable Agriculture.Journal of Experimental Biology and Agricultural Sciences 

Wassan, J.T., Wang, H. and Zheng, H., 2023.The Recent Advance in the Phylogenetic Analysis to Study Rumen Microbiome . Current Bioinformatics (Under Press)

Wassan, J.T., Wang, H. and Zheng, H., 2022, December. A New Phylogeny-Driven Random Forest-Based Classification Approach for Functional Metagenomics. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 32-37). IEEE. 

Wassan, J.T., Zheng, H. and Wang, H., 2021. Role of Deep Learning in Predicting Aging-Related Diseases: A Scoping Review. Cells, 10(11), p.2924.

Krause, T., Wassan, J.T., Mc Kevitt, P., Wang, H., Zheng, H. and Hemmje, M., 2021. Analyzing large microbiome datasets using machine learning and big data. BioMedInformatics, 1(3), pp.138-165. 

Wassan, J.T., Ghuriani,V.,2021.Analyzing the Effect of Environmental and Demographic Factors on COVID-19 Spread in India Using Statistical Methods: A Case Study.Applied Ecology and Environmental Sciences.9(2),pp.177-185. 

Wassan, J.T., Wang, H., Browne, F., and Zheng, H., 2019. Phy-PMRFI: Phylogeny-aware Prediction of Metagenomic Functions using Random Forest Feature Importance. IEEE transactions on Nano bioscience. 

Wassan, J.T., Wang, H., Browne, F., and Zheng, H., 2019. A comprehensive study on predicting the functional role of metagenomes using machine learning methods. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 16(3), pp.751-763. 

Wassan, J.T., Zheng, H., Wang, H, Browne, F., Walsh, Manning, Roehe, R., Dewhurst, R., 2019, November. A Phylogenyaware feature ranking for classification of Cattle Rumen Microbiome. In DAM Workshop, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (in press) IEEE. 

Wassan, J.T., Wang, H., Browne, F., and Zheng, H., 2018, December. PAAM-ML: A novel Phylogeny and Abundance aware Machine Learning Modelling Approach for Microbiome Classification. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 44-49). IEEE. 

Wassan, J.T., Zheng, H., Browne, F., Bowen, J., Walsh, P., Roehe, R., Dewhurst, R., Palu, C., Kelly, B. and Wang, H., 2018, December. An Integrative Framework for Functional Analysis of Cattle Rumen Microbiomes. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1854-1860). IEEE. 

Wassan, J.T., Wang, H., Browne, F., Wash, P., Kelly, B., Palu, C., Konstantinidou, N., Roehe, R., Dewhurst, R. and Zheng, H., 2017, August. An integrative approach for the functional analysis of metagenomic studies. In International Conference on Intelligent Computing (pp. 421-427). Springer, Cham. 

Wassan, J.T., Wang, H., Browne, F., and Zheng, H., 2017, August. Microbial abundance analysis and phylogenetic adoption in functional metagenomics. In 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (pp. 1-8). IEEE. 

Manning, T., Wassan, J.T., Palu, C., Wang, H., Browne, F., Zheng, H., Kelly, B., and Walsh, P., 2018, December. PhylogenyAware Deep 1-Dimensional Convolutional Neural Network for the Classification of Metagenomes. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1826-1831). IEEE. 

Walsh P, Palu C, Kelly B, Lawor B, Wassan J.T., Zheng H, Wang H. A metagenomics analysis of rumen microbiome. In2017, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2017 Nov 13 (pp. 2077-2082). IEEE. 

Zheng, H., Wassan, J.T., Moisescu, M.A., Stoicu-Tivadar, L., Miranda, J., Crisan-Vida, M., Sacala, I.S., Badnjevic, A., Chorbev, I. and Jakimovski, B., 2018, December. Multiscale Computing in Systems Medicine: A Brief Reflection. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2190-2195). IEEE. 

Wang H, Wassan, J.T., and Zheng, H., 2018. Measurements of Accuracy in Biostatistics. In Encyclopaedia of Bioinformatics and Computational Biology (pp. 685-690). Elsevier. 

Also, worked towards the areas related to Big Data Analytics and Recommender Systems in early career goals. I have an exposure to MongoDB, Hadoop systems handling Big Data Streams.  

Wassan, Jyotsna Talreja. "Big Data paradigm for healthcare sector." Big data: Concepts, methodologies, tools, and applications. IGI Global, 2016. 570-587 

Wassan, Jyotsna Talreja. "Discovering big data modeling for the educational world." Procedia-Social and Behavioural Sciences176 (2015): 642-649.

Wassan, Jyotsna Talreja. "Modelling stack framework for accessing electronic health records with big data needs." International Journal of Computer Applications 106.1 (2014): 37-45.  

Wassan, Jyotsna Talreja. "Exploratory Implementation of Stream Clustering Algorithm using MongoDB." International Journal of Computer Applications 121.10 (2015).  

Wassan, Jyotsna Talreja. "Emergence of NoSQL Platforms for Big Data Needs." Encyclopaedia of Business Analytics and Optimization. IGI Global, 2014. 787-798. 

Talreja, Jyotsna, et al. "Using Web Mining to Generate Recommendations: A Website Recommender." IICAI. 2009.  

Bedi, Punam, Harmeet Kaur, Bhavna Gupta, Jyotsna Talreja, and Mansi Sood. "A Website Recommender System Based on an Analysis of the User's Access Log." Journal of Intelligent Systems 18, no. 4 (2009): 333-352.

OTHER CONTRIBUTIONS

Resource person and Co-Convenor for National Faculty development program on “Digital Pedagogy to Enhance Teaching and Learning Experience”, December 2020.

Convened various academic events @ Maitreyi College, University of Delhi, INDIA.

Contributed chapter on Multimedia in Central Board of Secondary Education book on IT Tools Level- 3 for Class XI, Delhi, INDIA  

Author of Book titled “Practicing Programming Fundamentals using C++ Constructs'' published with Pustak Mahal, 2015. 

(ISBN: 9788122315677)

Contributed e-Lessons and e- Quizzes for ILLL, University of Delhi, INDIA. on Discrete Structures: Asymptotic Notations and Trees.

Created E-content on Using various Google Applications