SOET KRMU Faculty Mr. Ashwani Kumar

Faculty

Our Faculty enable students with the wealth of information that is available today and help them develop skills that will equip them for life

Mr. Ashwani Kumar

Assistant Professor -Engineering & Technology

Interest Area(s)

Since 2013, I have been teaching graduate and post- graduate level computer science students at K. R. Mangalam University.

Courses taught at graduate level:-

My areas of research are Artificial Intelligence (AI) and Machine Learning (ML). I have been working on implementing various Artificial Intelligence (AI) and Machine Learning (ML) algorithms and models from last couple of years. For example, Sketch-to-Image Translation with Conditional Adversarial Networks, Semantic Image Segmentation, VQA:Visual Question Answering using Recurrent Neural Network, Twitter sentiment analysis are few of the Artificial Intelligence (AI) and Machine Learning (ML) based projects that I have worked on during this year.

  • Artificial Intelligence
  • Neural Networks
  • Analysis and Design of Algorithms
  • Introduction to programming
  • Data Structures
  • Object Oriented programming using C++
  • Data Mining
  • Artificial Intelligence
  • Compiler Design
  • M.Tech(Computer Science and Engineering).
  • UGC(NET)- Computer Science, 2012.
  • Masters of Computer Applications.
  • B.Sc.(Hons.)-Mathematics, University of Delhi.
  • 2013-Till Date: Assistant Professor, School of Engineering and Technology, K. R. Mangalam University.
  • 2010-2012: Benefits Operations Administrator, AON Hewitt, Noida/Gurgoan.
  • Ashwani Kumar, Deepika Goyal, “Performance Evaluation Of Naïve Bayes And Maximum Entropy Model Through Opinion Mining”, in International Journal of Engineering, Science and Mathematics, Vol. 7, Issue 4, June 2018.
  • Harjinder Singh, Ashwani Kumar, “Analysis Of Whatsapp Log File For Information Retrieval”, in International Journal of Engineering, Science and Mathematics, Vol. 7, Issue 4, May 2018.
  • Ashwani Kumar, Dr. Laxmi Ahuja, Dr. Umang Singh, “ Soft computing approaches for Intrusion Detection”, in Far East Journal of Electronics and Communication, Vol. 2, Issue 1, June 2016.