Ms. Manisha

Assistant Professor

Ms. Manisha
Qualification B.Tech, M.Tech ,M.Phil, UGC - NET Qualified & PhD Pursuing
Total Years of Work Experience 6+ Years
No of Recent Publications 09
No of Conferences, Seminars & Workshops 15
Awards (International/National) -

Ms Manisha serves as an Assistant Professor in the Department of Computer Science, Faculty of Engineering & Technology at SGT University, Gurugram. With over 6 years of teaching experience in Computer Science & Engineering, she is highly regarded in academia. Ms. Manisha has authored 9 research papers published in national and international journals and has supervised numerous students in their minor and major projects.

Ms. Manisha is pursuing Ph.D. from the University Institute of Engineering & Technology (UIET), Maharshi Dayanand University, Rohtak. Ms. Manisha is UGC NET qualified in Computer science. She has earned Master of Philosophy (M. Phil.) in Computer Science, Master of Technology (Computer Science Engineering) with distinction, Bachelor of Technology (Computer Science Engineering) with distinction. Previously, she held roles as Assistant Professor and Training and Placement Coordinator at Gurugram University, Gurugram, and as Assistant Professor and Examination Cell member at GGSIP University, New Delhi affiliated college.

Ms. Manisha's research interests primarily focus on Machine Learning & Artificial Intelligence, Educational Data Mining, and Learning Analytics.

In the classroom, Ms. Manisha fosters a dynamic learning environment that encourages critical thinking and academic exploration. She believes in the transformative power of education to inspire and empower students. Outside of academia, Ms. Manisha is actively engaged in community involvement such as admissions, curriculum design, examination & outreach activities, etc. exemplifying her holistic approach to education and societal contribution.

Teaching Interests

  • Artificial Intelligence
  • Neural Networks
  • Predictive Analytics
  • Compiler Design
  • Theory of Computation and Data Structures

Research Interests

  • Machine Learning
  • Data Analytics
  • Learning Analytics
  • Educational Data Mining

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