Admission Open Against Cancellation/Lapsed/Vacant Seats
Apply Now
Medical | Dental
Apply Now
Ph.D. Applications Open- Jan 2025
Apply Now
Fee Payment (EMI)
Gunjan Aggarwal

Gunjan Aggarwal

Assistant Professor , Computer Science & Engineering (CSE)

gunjan.aggarwal@sharda.ac.in

About

Ms. Gunjan Aggarwal is a dedicated and accomplished academic professional with over 16 years of experience in teaching and research in the domain of Computer Science and Engineering. She is currently serving as an Assistant Professor at Sharda University, Greater Noida, a position she has held since August 2016. She is currently pursuing a Ph.D. from Sharda University and has completed her M.Tech in Computer Science and Engineering from M.M. University. She earned her B.Tech from Kurukshetra University.

Her teaching portfolio is diverse and robust, covering a wide array of core and advanced subjects such as Microprocessor & Interfacing, Operating Systems, Web Technologies, Android Development, Cloud Computing, and Advanced Java. Ms. Gunjan Aggarwal is known not only for her academic rigor but also for her hands-on approach to learning, consistently organizing workshops, expert talks, and student-industry interaction activities.

A passionate researcher, she has published extensively in reputed journals and international conferences. Her research interests span deep learning, machine learning, computer vision, IoT, and healthcare informatics. She has contributed to the academic community with more than 20 published papers and numerous conference presentations, showcasing her engagement with cutting-edge technologies and innovative solutions.

In the area of innovation, Ms. Gunjan Aggarwal has filed and been granted several patents, including systems for money handling, face recognition, gesture-based home automation, and intelligent greenhouse monitoring using deep learning. These innovations highlight her commitment to solving real-world problems through technology.Her commitment to continuous professional development is reflected in her extensive participation in Faculty Development Programs, AICTE-recognized short-term courses, and workshops conducted by esteemed organizations such as IITs, IBM, NASSCOM, and MeitY. Notable areas of upskilling include Machine Learning, Deep Learning,  IoT and Prompt Engineering.

Her academic journey is a blend of perseverance, innovation, and excellence, making her a valuable asset to the academic and research community.

Experience
  • 16 Years
Qualification
  • Ph.D. in Computer Science Engineering (submitted).
  • M.Tech in Computer Science Engineering.
  • B.Tech in Computer Science Engineering
Award & Recognition

  • Qualified Haryana Teacher Eligibility Test for Post Graduate Teacher Level-3 in computer science on July 25 2016.
  • NPTEL online certification in collaboration with Swayam on Python for Data Science in Feb 2024 where I secured a position in the top 5%

Research

Patents Grants: 02

Patent published :07

Publications: 20

Book Chapter: 04

  • Published Paper on “An Ascent of Big data on Cloud: A Study” in International Journal of Computer Applications, Volume 182, No(16),2018.
  • Published paper on “A NEW APPROACH OF PERSONALIZED RECOMMENDER SYSTEM” in International Journal of Research in Engineering, IT and Social Sciences (IJREISS), ISSN-2250- 0588 (Online), Volume-7, Issue-8, August 2017, page 19-25; Impact Factor (SJIF) – 2016: 6.452.
  • Published paper on “Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season” in Global Journal of Computer Science and Technology (GJCST) Volume 17 Issue 3 Version 1.0-year 2017, ISSN 0975-4172.
  • Published paper on “A Novel Resource Scheduling Algorithm for Computational Grid” in International Journal of Applied Information Systems (IJAIS) on August 2012
  • Published paper on “performance optimization of CGSR for Mobile Adhoc networks “International journal of Advanced Research in Computer Science and software Engineering (IJARCSSE) vol 6(4) on April 2016.
  • Published paper on Digital Library in “International Journal of Creative Research Thoughts” on June 2020.
  • Published paper on “Being Human: An AI Based Android Application for Improving, Easing and Enhancing Our Lifestyle" in 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)in July 2022.

Certifications

  • NPTEL online certification in collaboration with Swayam and IIT Kharagpur on Cloud Computing in April 2019.
  • Master Trainer for Digital Marketing Manager Qualification Pack (MES/Q0706) - v2.0 National Skill Qualification Framework Level – 6 Date of Issue: 21/04/2023
  • NPTEL online certification in collaboration with Swayam on Python for Data Science in Feb 2024.

Area of Interest

  • Cloud computing
  • Deep learning
  • Machine learning
  • Mobile Application Development
  • IoT and Smart Systems