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Hanan Hussain

Ms Hanan Hussain

Ms Hanan Hussain

Lecturer, Faculty of Mathematics and Data Science

Telephone: +971 4 6050143

Email: hanan.hussain@eau.ac.ae

Hanan Hussain is a Lecturer at the Faculty of Mathematics & Data Science, Emirates Aviation University (EAU), with a PhD in deep learning from BITS Pilani, Dubai Campus, awaiting her final viva. Her thesis, titled "Efficient and Secured Computer-Vision-based Deep Learning Models for Resource-Constrained Environments," reflects her expertise in optimizing AI for low-resource settings. Before BITS, she was a researcher at the Artificial Intelligence Research Center (AIRC) at Ajman University, focusing on tackling challenges in medical imaging, network security, and financial markets using AI/ML methods. Hanan's work has gained recognition across the MENA region, recently showcased at the 4th Forum for Women in Research (WIRF,2023). She is also an academic editor for PLOS One (Q1) Journal and has authored vital research papers in high-impact journals such as ACM Transaction, IEEE Access, and Springer Nature AI Review. Hanan has presented at top-tier conferences like ACM SenSys '22 and contributed as a research volunteer at the University of Massachusetts, USA.

  • PhD, Computer Science (Artificial intelligence)- Awaiting defense, BITS Pilani, Dubai Campus, UAE, 2024
  • Master of Technology (M.Tech), Computer Science and Engineering, Kerala Technological University, India, 2017
  • Bachelor of Technology (B. .Tech), Computer Science and Engineering, Universi of Calicut, India, 2015
  • Introduction to IT
  • Machine Learning
  • Database Management System
  • Data Mining
  • Machine Learning & Deep Learning
  • Optimization Algorithms
  • Sustainable AI
  • Statistical analysis

Journal Published:

  1. Hussain, P. S. Tamizharasan and P. K. Yadav, "LCRM: Layer-Wise Complexity Reduction Method for CNN Model Optimization," in IEEE Access, vol. 11, pp. 66838-66857, 2023, doi: 10.1109/ACCESS.2023.3290620. Link here
  2. Hussain, O. Hujran, and Nitha, K. P. (2022). "Mitosis detection from histological images using handcrafted features and artificial neural network". International Journal of Computer Aided Engineering and Technology, 16(2), 240-256. Link here
  3. Hussain, P. S. Tamizharasan and Rahul,C.S. "Design possibilities and challenges of DNN models: a review on the perspective of end devices". SpringerNature, Artificial Intelligence Review,5109–5167(2022).Link 
  4. k Durrani, G. Naymat M. Ayoubi,M. Kamal, H. Hussain, Gamified flipped classroom versus traditional classroom learning: Which approach is more efficient in business education?,The International Journal of Management Education, 2022.Link here
  5. Al-Naymat, H. Hussain, M. Al-Kasassbeh and N. Al-Dmour, "Accurate detection of network anomalies within SNMP-MIB data set using deep learning", (2021) Journal: IEL- International Journal of Computer Applications in Technology. Link here
  6. Mohamed, Ahmed, IE, R. Mehdi, H. Hussain, "Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model". Wiley, Intell Sys Acc Fin Mgmt. 2021; 28: 52– 71. Link here
  7. A. Zitar, N. Al-Dmour, M. Nachouki, H. Hussain, and F. Alzboun, "Hashing Generation Using Recurrent Neural Networks for Text Documents," ICIC Express Letters, Part B: Applications, vol. 12, no. 3, pp. 231–241, Mar. 2021.
  8. Abu zitar and H.Hussain , "A mirroring neural network approach for encryption/Decryption of data", (2020), ICIC Express Letters. Link here

Conference Published:

  1. Hussain and T. P. S, "Analysis of Energy-Efficient LCRM Optimization Algorithm in Computer Vision-based CNNs," 2024 IEEE 8th Energy Conference (ENERGYCON), Doha, Qatar, 2024, pp. 1-6, doi: 10.1109/ENERGYCON58629.2024.10488814.
  2. Hussain and P. Tamizharasan, "Comparative Analysis Overview of CNN-Driven In-Loop Filtering Approaches in H.266/VVC," 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), Manama, Bahrain, 2024, pp. 1015-1019, doi: 10.1109/ICETSIS61505.2024.10459582.
  3. Hussain and P. S. Tamizharasan, "The Impact of Cascaded Optimizations in CNN Models and End-Device Deployment", (2022) Conference: The 20th ACM Conference on Embedded Networked Sensor Systems ( ACM SenSys 2022), BOS, USA. Link here
  4. A. Zitar, M. Nachouki, H. Hussain and F. Alzboun, "Recurrent Neural Networks for Signature Generation," 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), hengdu, China, 2020, pp. 1093-1097, doi: 10.1109/CISP-BMEI51763.2020.9263638. Link here
  5. Hussain, Barriers and Drivers of using social media in e-governance: A global case study, (2020) Conference: IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Ajman University, Ajman, UAE. Link here
  6. Hussain, O. Hujran and K. P. Nitha, "Survey on Mitosis Detection for Aggressive Breast Cancer from Histological Images," 2019 5th International Conference on Information Management (ICIM), Cambridge, UK, 2019, pp. 232-236, doi: 10.1109/INFOMAN.2019.8714696.