Mrs. Shraddha Verma

  • Designation: Assistant Professor
  • Employee ID: 805270
  • Qualification: Ph.D Pursuing
  • Email ID :  This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Detailed Profile
About Faculty: .Mrs. Shraddha Verma is working as an Assistant Professor in the Department of Information technology, SGSITS Indore.
Education and Qualification:

S.No.

Degree

Specialization

Year

University/Board

CGPA/Percentage

1

Ph.D Pursuing

CSE

Dec 2020-Present

DAVV

-

2

MTech

IT

2017

DAVV

8.96 CGPA

Work Experience:

S.No.

Designation

Organization

Duration

1

Assistant Professor

SGSITS

October 2024-Present

2

Assistant Professor

International Institute Of Professional Studies(DAVV).

2021.(Visiting Faculty)

3

Assistant Professor

St. Paul Institute Of Professional Studies

January 2020-October 2020.(Full Time)

4

Assistant Professor

GSIMR

August 2019- December 2019

(Visiting)

5

Assistant Professor

Pioneer Institute Of Professional Studies

August 2017 -August 2019 (Full Time)

Research Details:

S.NO

Paper Title

Journal/Book/Conference

Publisher

Year of Publication

Link/Reference

1.

Analyzing Supervised Learning Models for Predicting Student Dropout and Success in Higher Education

(Book Chapter)UK Workshop on Computational Intelligence.

234-248

Springer

2023

https://doi.org/10.1007/978-3-031-47508-5_19

2.

Analyzing and Comparing Clustering Algorithms for Student Academic Data

(Book Chapter)UK Workshop on Computational Intelligence.

640-651

Springer

2023

https://doi.org/10.1007/978-3-031-47508-5_49

3.

Text Processor for IPC Prediction

Recent Innovations in Computing, Springer, Singapore

Springer, Singapore

2022

https://doi.org/10.1007/978-981-16-8248-3_9

4.

Performance Pattern Mining for Higher Education Students in Blended Learning Using Clustering Algorithms

The International Conference on Computing, Communication, Cybersecurity & AI, (2024)

Springer Nature Switzerland

2024

https://doi.org/10.1007/978-3-031-74443-3_22

5

Higher Education Students Performance and Feature Analysis Using Classification Models based on blended learning data

The International Conference on Computing, Communication, Cybersecurity & AI, (2024)

Springer Nature Switzerland

2024

https://doi.org/10.1007/978-3-031-74443-3_47

6

Experimental Demonstration for learning analytics and data mining on e-assessment.

The International Conference on Computing, Communication, Cybersecurity & AI, (2024)

Springer Nature Switzerland

2024

https://doi.org/10.1007/978-3-031-74443-3_42

Publications: