Ms. Harshita Bhargava

Designation: 

Sr. Assistant Professor

Address: 

Dept. Of Computer Science And IT,
The IIS University.
 

Office Phone Number: 
0141-2400160-61
Email: 
harshita.bhargava@iisuniv.ac.in
Educational Qualifications: 
DegreeInstitutionyear
Ph.D.IIS (deemed to be University), JaipurPursuing
NET UGCNovember 2017
MCAUniversity of Rajasthan ,jaipur2009
BCAJai Narayan Vyas University,Jodhpur2005

 

Career Profile: 
DesignationDurationOrganization
Sr.Assistant Professor2018-current IIS(deemed to be University), Jaipur
Asst. ProfessorAugust- 2010 -2018IIS(deemed to be University), Jaipur
FacultySeptember-MayNIIT jaipur, Rajasthan

 

Administrative Assignments: 
  • Social media management
  • Website updation
Areas of Interest / Specialization: 

Machine learning ,Recommender Systems
Computer Programming, Data Structures and algorithms,Databases,  SQL, silverlight, Microsoft sharepoint ,.NET
 

Subjects Taught: 

At Post graduate level
Software Engineering,  Computer Programming Languages C#, Databases,  SQL, ASP.NET, Object Oriented Programming ,UML

At Undergraduate level
Software Engineering, Object-Oriented Programming , Data Structures, Fundamentals of Computer Network, Computer Architecture, Operating System, Computer Fundamentals, Digital  Electronics, Programming languages (FORTRAN,Python,R,Pascal, COBOL, C, C++,Java),System Analysis
 

Publications Profile: 

Publications

Paper Title

Name of the Journal

Indexing

Impact Factor

Status

An Empirical Study to Analyse The Effect of Bagging and Feature Subspacing on The Performance of A Custom Ensemble Algorithm for Predicting Drug Protein Interactions.

Indian Journal of Science and Technology. 17(10): 911-916. https://doi.org/10.17485/IJST/v17i10.3202

 

Web of Science

1.0

Published

Chemogenomic Approaches for Revealing Drug Target Interactions in Drug Discovery.

Current Genomics. 2021 Dec 30;22(5):328-338. doi: 10.2174/1389202922666210920125800. PMID: 35283667; PMCID: PMC8844939.

 

Scopus

 

Web of Science

 

2.6

Published

AutoRNSRF-DTI:A Recommendation Model for Predicting Drug Protein Interactions using reliable negative samples

Current Computer-Aided Drug Design

Scopus

1.7

Submitted (for publication)

Exploiting the Recommender Algorithms for Bioinformatics and Medicine: Applications and Challenges.Presented in 21st International conference on bioinformatics InCoB 2022 organised by King abdullah university of science and technology on 21-23 novemeber 2022--Paper Presented
XCKDFoodRec:An Explainable AI based Food Recommender model for Chronic Kidney Disease PatientsPresented in International Conference on “Impacts of Environment, Food and Nutrition on Human Health”.(ISLS 2022) organised by international society for life sciences.--Paper presented
A Recommendation Perspective for Modeling Drug Target Interaction Predictions using Network Based ApproachesPresented in FICR-TEAS 2020 organised by IIS(deemed to be university), JaipurSpringer-Paper presented

 

 

Book Chapters:

 
1.Bhushan, M. et al. (2023). Challenges in Eventing Horizontal Gene Transfer. In: Mani, I., Singh, V., Alzahrani, K.J., Chu, DT. (eds) Microbial Genomic Islands in Adaptation and Pathogenicity. Springer, Singapore. https://doi.org/10.1007/978-981-19-9342-8_16
2.Bhargava, H., Gupta, S., Vyas, G., Sharma, A., Chatterjee, S. (2023). Recommendation Systems for Cancer Prognosis, Treatment and Wellness. In: Rai, B.K., Kumar, G., Balyan, V. (eds) AI and Blockchain in Healthcare. Advanced Technologies and Societal Change. Springer, Singapore. https://doi.org/10.1007/978-981-99-0377-1_10
3.Bhargava H., Sharma A., Valadi J.K. (2021) Machine Learning for Bioinformatics. In: Suravajhala P.N. (eds) Your Passport to a Career in Bioinformatics. Springer, Singapore. https://doi.org/10.1007/978-981-15-9544-8_11
4.Prasad A. et al. (2021) Next Generation Sequencing. In: Singh V., Kumar A. (eds) Advances in Bioinformatics. Springer, Singapore. https://doi.org/10.1007/978-981-33-6191-1_14

 

 

 

Awards and Distinctions: 
Cleared UGC NET Exam November 2017 in Computer Science

 

Information Updated on: 
Friday, May 31, 2024