Post Doctorate, Computational Biology Lab, National Institutes of Health, USA, March 2024-July 2024.

Ph.D. in Computer Science from the University of Ulster, Northern Ireland, United Kingdom(Bestowed with Outstanding Thesis Award)

Marie Curie RISE Fellow under the European Horizon Commission 2020.

M.Sc. Computer Science, University of Delhi, India.

B.Sc. Computer Science, Indraprastha College for Women, University of Delhi, India.

• Assistant Professor , 2010-Till Present , Maitreyi College, University of Delhi
• Assistant Professor , 2009-2010 , Acharya Narendra Dev College, University of Delhi
• Software Engineer , 2008-2009 , ST Microelectronics
• Doctoral Researcher , 2016-2019 , Ulster University, United Kingdom

UG level: 

• Data Mining
• Various Programming Languages such as Python, R programming, etc.
• Information Security and Cyber Laws
• Operating Systems
• Database Management Systems
• Computer Networks and HTML

PG level: 

• Data Mining,
• Operating Systems,
• Programming Using Python

• Teacher In- Charge, Department of Computer Science, Maitreyi College, University of Delhi- 2023-March 2024; 2020-2021;2015-2016
• Admissions Convenor - 2020-2021, 2021-2022
• Member - Faculty of Mathematical Science, University of Delhi - Teacher’s category for the term since May 2023.
• Member of the New Website Design Committee 2023
• Member of various committees such as Time Table, Computerization Committee, Indian Dance, Indian Music, E-Content Creation, and Umbrella Committee for varied activities (Departmental Representation for IQAC/ISO/Academic Co-Curriculum)
• Actively involved in the organization of college fest, placement activities and, Short-term courses (2011-12,2012-13)
• Member of the Advisors of Student Union for the academic year 2013-14 and 2016
• Several times appointed as External and Internal Examiner for conducting practical examinations.
• Paper evaluator and paper setter for various computer science subjects.
• Technical Program Committee (TPC) of the 10th ICBRA 2023 , 2024 (www.icbra.org)
• Program Committee member-IEEE-BIBM Conference since 2021
• Reviewer of Book Proposal titled “Phylogenomics”, Elsevier | Research Reference Content, Russia
• Syllabus Development of DSE paper on Web Design and Development for B.Sc. Multidisciplinary Courses
• Reviewer of research submitted to Nature Methods
• Convenor for International Lectures on - " AI for Gait RehabRehabilitation", Digital Health and Network-based approaches for Integrative Biological Analysis
• Convenor for National-level FDP on DIgital Pedagogy in collocollaboration Guru Angad Dev TLC, Khalsa College

Integrative Data Analysis in Biological Sciences

I completed my doctoral research in the area of integrative computational analysis for Meta-genomics at the Ulster University, Northern Ireland, United Kingdom on a Research Fund Horizon 2020 scholarship granted by the Ulster University. I rounded off my academic journey further by getting funding from the Marie Curie fellowship under the Research and Innovation Staff Exchange (RISE) Scheme for the Meta-plat project, which focused on analyzing microbial genomes for improving the nutritive value and cattle productivity in European boundaries under European Horizon Commission 2020. I actively participated in joint research, secondment, and innovation activities between the member organizations of the project in the U.K. and Ireland. I also participated in research development activities at Ulster University, United Kingdom. 

Also, I mentored a Summer Internship Projects conducted by the Center for Research, Maitreyi College - 

• Emerging Technologies and Creator Economy: A New Linkage for Creative and Sustainable Growth, 2023
• An Integrative ApproachTowards Recommending Farming Solutions for Sustainable Agriculture, 2022
• Exploring Data Science to Study Viral Pandemic of COVID 19 in 2020 (EDSSVC - 2020)” , 2020

• Co-authored and 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)
• J. Talreja Wassan and V. Ghuriani, ‘Recent Trends in Deep Learning for Conversational AI’, Artificial Intelligence. IntechOpen, Nov. 03, 2023. doi: 10.5772/intechopen.113250. (Chapter Published in reputed Book)
• Wassan, J.T., and Zheng, H., Wang H, 2018. Machine Learning in Bioinformatics. In Encyclopaedia of Bioinformatics and Computational Biology. Elsevier. 
• 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. 
• Wassan, Jyotsna Talreja. "Emergence of NoSQL Platforms for Big Data Needs." Encyclopaedia of Business Analytics and Optimization. IGI Global, 2014. 787-798. 

Wassan, J.T., Wang, H. and Zheng, H., 2024.The Recent Advance in the Phylogenetic Analysis to Study Rumen Microbiome. Current Bioinformatics 

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., 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, 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). 

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.

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., 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. 

Delivered Lecture on " Big Data Analytics in Sports Management", Birmingham City University, United Kingdom, March 2021

Delivered lectures on varied topics in the following events-

• 30 hours Certificate Course on “Introduction to Python Programming” organized by the Department of Computer Science, Maitreyi College, University of Delhi, from 5 August - 23 September 2023.
• Certificate Course on “ICT TOOLS AND APPLICATIONS” organized by the Department of Computer Science, Maitreyi College, University of Delhi, from 3-15 October, 2022.
• Faculty Training Programme “Google Applications” from 16 July - 14 August,  2021 for the faculty of Maitreyi College
• FDP on “Digital Pedagogy to Enhance teaching and learning experience” 15 - 21 December, 2020 organized by Maitreyi College in association with GAD-TLC.
• TechnoUpdate 1.1- Online workshop on Google Drive & Sheets held on 11-12 May, 2020 for the Non-Teaching Staff of Maitreyi College.
• Academic and cultural exchange workshops held at Maitreyi College from 27 - 29 August, 2014 as a part of the Study India Programme organized under the UK-India Education and Research Initiative (UKIERI).

• ICT Trainings, NIH, USA, 2024
• GAISA Awards, Panel Discussion, AICRA, January 2024
• Bridge 2023 - Delhi (A High Impact Industry-Institute Interaction Event of India) , ICT Academy, October 2023
• NEP 2020 Orientation & Sensitization Programme, UGC-Mission Malaviya Teacher Training Centre, National Institute of Educational Planning and Administration, November 2023
• Faculty Development Program on Academic Research Writing, Teaching Learning Centre, Ramanujan College, University of Delhi, Nov2023, Teaching Learning CentreRamanujan College, University of Delhi under the aegis ofMINISTRY OF EDUCATIONPANDIT MADAN MOHAN MALVIYA NATIONAL MISSION ON TEACHERS AND TEACHING
• WORKSHOP ON ARTIFICIAL INTELLIGENCE and HigHigh-Performancemputing July 2022, National Institute of Technology Mizoram and Indian Institute of Technology Kharagpur
• Workshop on “e-Filing of Income Tax” on 28 July 2023, organized by the Department of Computer Science in collaboration with Department of Commerce and Department of Economics, Maitreyi College, University of Delhi, India Under the aegis of IQAC, Maitreyi College and W20 (Women 20) for India's G20 Presidency- Empowering Women in Financial Literacy.
• Webinar on “Artificial Intelligence and it's Application” by Mr. Chaitanyam Potnuru on 29 June,2023 organized by Department of Computer Science, Maitreyi College.
• Online session on Cybersecurity organised by the Department of Computer Science in collaboration with CERT-In on 6 July, 2022 as part of the “Cyber Jaagrookta (Awareness) Diwas”.
• Two Week Refresher Course in “COMPUTER SCIENCE”Teaching Learning Centre, Ramanujan College University of Delhi , May 2022, under the Pandit Madan Mohan Malaviya National Mission on Teachers and Teaching (PMMMNMTT) of Ministry of Education
• Workshop on NEP-2020 Implementation Plan: Strategic Action Plan and Goals Centre for Professional Development in Higher Education (CPDHE) July 2022, UGC-Human Resource Development Centre, University of Delhi
• National Conclave on “National Educational Policy 2020 - A New Vision for India’s Higher Education System” on 7 August, 2021 organized by IQAC and Department of Chemistry, Maitreyi College.
• WORKSHOP ON ACCELERATED DATA SCIENCE, IIT Khadagpur, 2021
• Online-One Week Faculty Development Programme on Data Analysis And Visualization,Teaching Learning Centre, Ramanujan College University of Delhi , July 2021, under the Pandit Madan Mohan Malaviya National Mission on Teachers and Teaching (PMMMNMTT) of Ministry of Education
• National Webinar on the Use of Modern Optimization Techniques to Solve real-world problems by Prof. Kusum Deep, Maitreyi College, Aug 2021.
• One Day Online National Webinar entitled “Implementation of Academic Bank of Credits”GAD-TLC July 2021,Guru Angad Dev Teaching Learning Centre, SGTB Khalsa College, University of Delhi under the Pandit Madan Mohan Malaviya National Mission on Teachers and Teaching (PMMMNMTT) of Ministry of Education

Outstanding PhD Thesis  Award, Ulster University, United Kingdom, June 2022

Young Scientist Award, ESDA, October 2021

Global Eminent Academician Award, European Council, May 2023