Ifat Al Baqee, PhD 

Dr. Ifat Al Baqee is serving as an Associate Professor in the department of Electrical and Electronic Engineering at University of Liberal Arts Bangladesh (ULAB). He obtained his Doctor of Philosophy (Ph.D.) in Computational Image Processing from Swinburne University of Technology, Australia at July 2016. He received his BSc. in Electrical and Electronics Engineering (EEE) from Military Institute of Science and Technology (MIST), Mirpur, Dhaka, February, 2009. From 2009 to 2012 he served as a Lecturer at the department of Electrical and Electronic Engineering, Stamford University Bangladesh. Since 2012 to 2016, he pursued his Doctoral degree and also had part time tutoring experience at Swinburne University of Technology, Australia in different capacities.

Dr. Baqee worked for several reputed private universities in Bangladesh as academic and researcher roles and he is more than 12 years of experiences in this sector. His research interests include image processing, audio processing and its application, wireless power transfer optimization, IoT based health system, and 3D modelling and automation and applications of AI in Health Monitoring and Image Processing. His research finding has been published in the leading journals and conferences in nationally and internationally.

Dr. Baqee has been thoroughly involved in OBE based teaching learning curriculum and accreditation process. He worked in undergraduate curriculum development committee for BSc in EEE program of Southeast University Bangladesh from Bangladesh Accreditation Council on 2021-22. He acquired administrative experiences from the role of Head of the EEE department at University of Information, Technology and Sciences during 2022-24. He also served as Additional Director, IQAC of Canadian University of Bangladesh as well as Head of the department of EEE at Canadian University of Bangladesh.

He is also currently involved in the editorial committee of several reputed international journals search as IACSIT, AJEIT and performed responsibilities of Co-Chair and Chair of IEEE conference sessions such as ICREST and ICCIT.

PhD, Swinburne University of Technology, Australia

BSc in EECE, MIST

Signal Processing, Image Optimization, IoT, Electronic Health Monitoring, AI in Healthcare and Smart Wearables.

Current Projects

1. AI for Vital Sign monitoring for smart wearables
2. Parallel MRI Image reconstruction using Convex Optimization
3. AI based health monitoring system for real time patient prioritization

Recent Conferences

Track chair (Modeling and Simulation) of 22nd International Conference on Computer and Information Technology (ICCIT), 18~20 December, 2019, Dhaka, Bangladesh.

Awards

PhD Scholarship: Swinburne University Post Graduate Research Awards (2012 - 2016)

1. Ifat Al Baqee, ‘A convex optimization approach to parallel magnetic resonance imaging reconstruction’, published in International Journal of Biomedical Engineering and Technology, 41(2), pp. 126-144.
   https://doi.org/10.1504/IJBET.2023.129192
2. Ifat-Al Baqee, ‘A Novel Approach of Obtaining Optimal Solution for E-SPIRIT’, published in Southeast University Journal of Electrical and Electronic Engineering (SEUJEEE), 2(1), pp. 21-28.
3. Ifat-Al Baqee, ‘A Convex Optimization based Approach to Reduce External Noise from pMRI Images’, published in Southeast University Journal of Electrical and Electronic Engineering (SEUJEEE), 1(2), pp. 13-18.
4. Ifat-Al Baqee, ‘A Relative Comparison between Noise Performances of Different pMRI Algorithms’, published in Southeast University Journal of Electrical and Electronic Engineering (SEUJEEE), 1(1), pp. 1-6.
5. Ifat-Al-Baqee, Mehedi Hasan Sumon, Kamol Kanto Das, Mohammad Umar Saad, Shakil Seeraji, ‘A Neural Network-Based Face Recognition Method by Illumination Normalization & Edge Detection’, published in International Journal of Applied Engineering Research (IJAER), 6(17), pp. 2069-2077.
   https://www.scopus.com/sourceid/21100217234

1. Muhammad Raisuddin Ahmed, Mohammed A Aseeri, Thirein MYO, M Shamim Kaiser, Ifat Al Baqee, Mohammad Hamiruce Marhaban, ‘Efficient Hybrid Anomaly Detection in Environmental Data’, published in 6th International Conference on Trends in Computational and Cognitive Engineering (TCCE 2024), ID: 2024060015, India, 2025.
2. Mohd. Hamim, Sumit Paul, Syed Iqramul Hoque, Md. Nafiur Rahman, Ifat-Al Baqee, ‘IoT Based Remote Health Monitoring System for Patients and Elderly People’, published in 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (IEEE Xplore), Bangladesh, 2019.
3. Cishen Zhang and Ifat-Al-Baqee, ‘Parallel magnetic resonance imaging reconstruction by convex optimization’, published in 2013 Third International Conference on Innovative Computing Technology (INTECH), UK, 2013.
4. Jiaxi He, Cishen Zhang and Ifat-Al-Baqee, ‘Image Dehazing Using Regularized Optimization’, published in Part I Proceedings of 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, 2014.
5. Ifat-Al-Baqee, Cishen Zhang and Xin GAO, ‘Optimal parallel MRI reconstruction over a convex solution space’, published in 2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), China, 2015.
6. Jiaxi He, Cishen Zhang, Ifat-Al-Baqee and Xin Gao, ‘A regularized optimization approach to fast image dehazing’, published in 2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), China, 2015.
7. Cishen Zhang, Ifat-Al-Baqee and Jingxin Zhang, ‘Parallel MRI Reconstruction by Direct Convex Optimization’, Presented in ISMRM 23rd Annual Meeting and Exhibition, Ontario, Canada, 2015.
8. Kai Zhu, Cishen Zhang, Jingxin Zhang, Ifat-Al Baqee, Sulaiman A. Al Hasani, ‘Convex Optimization for 3D Parallel MRI Reconstruction’, published in ICSPS 2016 Proceedings of the 8th International Conference on Signal Processing Systems, Auckland, New Zealand, 2016.

EEE 2313: Signal and Systems
EEE 4103: Control System I
EEE 3103: Digital Signal Processing
EEE 1301: Electronic Circuits 1