Naren Khatwani

Naren Khatwani

Ph.D Student and Researcher

New Jersey Institute of Technology

Biography

Hello! I'm Naren, a Data Science Ph.D. student at the New Jersey Institute of Technology (NJIT). My research lies in the field of Biomedical ontologies, with a keen interest in Ontology Encrichment and Concept Goodness. Alongside my research, I am an Adjunct Instructor teaching Database System Design and Management (CS 331).

Before diving deep into ontologies, I explored the domain of Parallel and High Performance Computing as a Graduate Researcher at NJIT. My professional journey also took me to Forbes during the summer of 2022. As a Technology Engineering Intern @ Forbes, I collaborated with the Platform & Product Engineering Team, significantly enhancing their Content Management System and initiating the development of the new Mobile Application for Forbes Daily Dozen newsletter.

Outside my academic comitments, I am a GitHub Campus Expert, where I strive to build diverse and inclusive communities to learn skills, collaborate on projects, and share experiences. Through this platform, I not only introduce students to promising research domains but also organize collaborative events in partnership with GitHub, Association of Computing Machinery (ACM) - NJIT chapter and and Graduate Women in Computing (GWiCS) focusing on open-source learning and innovation.

Interests
  • Biomedical Ontologies
  • Medical Informatics
  • Massive-Scale Analytics
  • Ontology Enrichment
Education
  • PhD in Data Science, Present

    New Jersey Institute of Technology

  • Masters in Computer Science, 2023

    New Jersey Institute of Technology

  • B.E. in Computer Engineering, 2021

    Vivekanand Education Society's Institute of Technology

Recent Experience

For complete work history refer to my curriculum vitae.

 
 
 
 
 
Adjunct Instructor
Sep 2024 – Present New Jersey
Taught CS 331 - Database System Design and Management, focusing on key concepts such as database design, SQL programming, normalization, and transaction management, providing both theoretical and practical knowledge. Developed comprehensive course materials and assessments, ensuring students gain a robust understanding of database systems and are well-prepared for real-world applications in the field.
 
 
 
 
 
Teaching Assistant
Sep 2023 – Aug 2024 New Jersey
Teaching Assistant for CS 632 - Advanced Database System Design, CS 331 - Database System Design and Management. Offering weekly consultations during dedicated office hours to address graduate student questions and provide clarifications. Additionally assessing and grading student assignments, exams, projects, and homework, ensuring timely and accurate feedback.
 
 
 
 
 
Graduate Researcher
Sep 2021 – Aug 2023 New Jersey
Research a software package (Arkouda) allowing users to interactively issue massive parallel computations on distributed data using functions and syntax that mimic NumPy (the underlying computational library used in most Python data science workflows). Another objective of my work was to test how a user can experience Arkouda, do a performance comparison study and craft tutorials for Data Analytics using Arkouda.
 
 
 
 
 
Technology Engineering Intern
Jun 2022 – Sep 2022 New Jersey
Worked with the Platform & Product Engineering Team to improve the in-house Content Management System Bertie. Additionally, I collaborated with cross-functional teams using Jira and delivered well-documented work. I was also a part of developing the new Mobile Application for Forbes Daily Dozen, replacing the existing technology to drive more traffic.
 
 
 
 
 
Network Operations Centre Intern
Jun 2022 – Sep 2022 Mumbai
Worked with the Network Operations Center (NOC) and improved the workflow of Building Management System (BMS) by visualizing the existing Chiller Plants’ data using Python.
 
 
 
 
 
Intern
Jun 2022 – Sep 2022 Mumbai
Performed Analysis of Meteorological Data to study the Influence of Global Warming on temperature and humidity. Carried out Market Basket Analysis incorporating Apriori algorithm by considering the important sale parameters. Carried out Market Basket Analysis incorporating Apriori algorithm by considering the important sale parameters.

Recent Publications

Quickly discover relevant content by filtering publications.
(2021). Food Aayush: Identification of Food and Oils Quality. In IEMAICLOUD, Springer.

PDF Cite

(2020). Attenuation of a Pandemic Disease Spread. In IRJET.

PDF

Honors & Awards

Reviewers Choice Paper Award
Reviewers Choice Award for the Paper titled “Food Aayush - Identification of Food and Oils Quality”.
See certificate
Best Technical Paper Award
The proposed idea was to predict the life of the required structure with the help of machine learning and artificial intelligence to overcome the risk of structural breakdown after construction.
See certificate

Recent & Upcoming Talks and Tutorials

Listed here are talks and tutorials at conferences, workshops, etc. that are not tied to a specific publication.

Interactive Large-Scale Data and Graph Analytics
A tutorial outlining how to use our graph algorithms for large-scale graph and data analytics.
Interactive Large-Scale Data and Graph Analytics

Extra Curricular Activities

For complete work history refer to my curriculum vitae.

 
 
 
 
 
Github Campus Expert
Sep 2021 – Present New Jersey
GitHub Campus Experts are student leaders that strive to build diverse and inclusive communities to learn skills collaborate on projects, and share their experiences. The community I have been working to develop is known as the NJIT HPC Initiative. Our main goal is to make students aware of High-Performance Computing as a viable research domain and remove its fear from the mind of students.