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Urooj Akram
  • Urooj Akram

  • Lecturer
    PhD Computer Science (Continue), MS (Information Technology), UTHM, Malaysia

About

Urooj Akram received her MS Degree from Faculty of Computer Science and Information Technology, UTHM, Malaysia, in 2018. She earned her BS (Computer Science) degree from The Islamia University of Bahawalpur, Punjab, Pakistan, in 2013. Her field of interests are related to Machine Learning and Information Security. She have one year experience as Lecturer, Department of Information Technology, KFUEIT, Rahim Yar Khan, She is the member in Examination Committee, Department of Artificial Intelligence, The Islamia University of Bahawalpur. Her research work is published in well reputed high-impact Journals.

Phone:062-9255489
Email:urooj.akram@iub.edu.pk
Secondary Email:uroojakram.cs@gmail.com
Address:Room # 1.48, Faculty of Computing, Old Engineering Building, B.J. Campus, IUB

Research Interests

Artificial Intelligence, Information Security

Awards and Honors

  1. GPPS Postgraduate Research Grant, Ministry of Education, Malaysia
  2. Letter of Appreciation from Multicultural Youth Service, Universal Peace Federation, Malaysia

Publications

https://www.researchgate.net/profile/Urooj-Akram/research

 

  1. Urooj Akram, Recommending Domain Specific Keywords for Twitter, Proceeding of International Conference of Soft Computing and Data Mining, in Springer: Advances in Intelligent Systems and Computing (AISC), pp. 253–263, Jan 2020.
  2. Urooj Akram, Automatic Patents Classification using Supervised Machine Learning, Proceeding of International Conference of Soft Computing and Data Mining, in Springer: Advances in Intelligent Systems and Computing (AISC), pp. 274–282, Jan 2020.
  3. Urooj Akram, Noor Aida Hussaini, Muhammad Faheem Mushtaq,“An Improved Pi-Sigma Neural Network with Error Feedback for Physical Time Series Prediction”, International Journal of Advanced Trends in Computer Science and Engineering, Volume 8, No.1.3, 2019, ISSN (Print): 2278-3091.
  4. Urooj Akram, “A comprehensive review on text classification using deep learning”, International Journal of Advanced Trends in Computer Science and Engineering, Volume 8, No.1.3, 2019, ISSN (Print): 2278-3091.
  5. Urooj Akram, Comparative analysis of TF-IDF and Loglikelihood method for keywords extratction of twitter data, Accepted in Mehran University Research Journal of Engineering and Technology, May 2020, ISSN: 2413-7219.
  6. Urooj Akram, Compromising Remote Site HTTPS Traffic Using Open Source Tools, IEEE 23rd International Multitopic Conference (INMIC), 2020.
  7. Urooj Akram, “Defense Mechanism of Unmanned Aerial Vehicle’s against Cyber Threads: A Review”, Accepted to IEEE 23rd International Multitopic Conference (INMIC), 2020.
  8. Urooj Akram, “Key Schedule Algorithm using 3-Dimensional Hybrid Cube for Block cipher, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 10, Issue 8, Sept. 2019, ISSN (Print): 2158-107X, ISSN (Online):  2156-5570.
  9. Urooj Akram, “A Comprehensive Survey on Pi-Sigma Neural Network for Time Series Prediction” Journal of Telecommunication, Electronic and Computer Engineering. Vol. 9, No. 3–3, pp. 57–62.
  10. Urooj Akram, Neural Network Techniques for Time Series Prediction: A Review” International Journal on Informatics Visualization (JOIV), Vol. 3, Issue 3, 2019, ISSN (Print): 2549-9610, ISSN (Online): 2549-9904.
  11. Urooj Akram, “Cloud Computing Environment and Security Challenges: A Review”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 8, Issue 10, PP. 183-195, Oct. 2017, ISSN (Print): 2158-107X, ISSN (Online): 2156-5570.
  12. Urooj Akram, “An Innovative Cognitive Architecture for Humanoid Robot”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 8, Issue 8, PP. 60-67, Aug. 2017, ISSN (Print): 2158-107X, ISSN (Online): 2156-5570.
  13. Urooj Akram, “A Cognitive Architecture for Self-Learning in Humanoid Robots”, International Journal of Computer Science and Network Security, Vol. 17, Issue 5, PP. 26-36, May 2017, ISSN: 1738-7906.

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