“I like the students' positive attitude toward accepting new ideas and concepts
to solve regular problems.”
- Dr. Haider on what excites him most about being a part of the APSU community.
Ph. D. in Electrical Engineering from University of North Dakota
M.S. in Electrical Engineering from South Dakota State University
B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering
& Technology (BUET), Bangladesh
Dr. Haider joined the Department of Engineering Technology team at Austin Peay State
University (APSU) as an Assistant Professor in Fall 2021. Prior to joining APSU, Dr.
Haider has taught more than ten undergraduate courses in the areas of electrical and
electronic technology, embedded systems, and digital circuits at the School of Engineering
and Technology, Central Michigan University (CMU) from 2018 to 2021. In addition,
he has advised several senior design projects at CMU. He is an active member of Institute
of Electrical and Electronics Engineers (IEEE). Dr. Haider also serves as a reviewer
for several conferences and journals, including IEEE WF-IoT, IEEE EIT, IEEE Signal
Processing Letters, Journal of Signal Processing Systems, and Remote Sensing of Environment.
His research interests lie in the broad fields of Biomedical Signal processing and
Brain–computer interface (BCI), including Image processing, Artificial Intelligence,
Machine Learning, and Internet of Things (IoT). Dr. Haider is an author of various
publications including multiple journal/conference articles and book chapters.
PEER-REVIEWED JOURNAL ARTICLES
R Ali, Haider A, Haider W, Deen K M, Hamad K. Incorporation of Machine Learning in
Additive Manufacturing: a review. International Journal of Machine Tools and Manufacture
Haider A, Tavakolian K, Fazel-Rezai R. Performance Evaluation of Heartbeat Classification
Methods Based on Morphological Descriptors. J Med Device.9(2):20913, 2015. IF: 0.412
Munia TTK, Haider A, Schneider C, Romanick Mark, Fazel-Rezai R. A Novel EEG Based
Spectral Analysis of Persistent Brain Function Alteration in Athletes with Concussion
History. Scientific Reports (Nature Research). 7(1):17221; 2017. IF: 4.61
Haider A, Fazel-Rezai R. Heart Signal Abnormality Detection Using Artificial Neural
Networks. J Med Device. 8(2):20915, 2014. IF: 0.412
PEER-REVIEWED CONFERENCE PAPERS
Haider A. A Brief Review of Signal Processing for EEG-based BCI: Approaches and Opportunities.
In: IEEE International Conference on Electro Information Technology (EIT), pp. 389-394,2021.
R Ali, Haider A, Haider W. A Consolidated Approach towards Application of Machine
Learning Principles in Additive Manufacturing. In: IEEE International Conference on
Electro Information Technology (EIT), pp. 1-6,2021.
Haider A, Tan S. Improvement of LiDAR data classification algorithm using the machine
learning technique. In Polarization Science and Remote Sensing IX (Vol. 11132, p.
1113215), International Society for Optics and Photonics, 2019.
Haider A, Cosatto B, Alam M, Tavakolian K, Fazel-Rezai R. A New Region-based BCI Speller
Design using Steady State Visual Evoked Potentials. In: Brain Computer Interface
Meeting. Pacific Gove, CA.; p. 1, 2016.
Munia TTK, Haider A, Fazel-Rezai R. Evidences of Brain Functional Deficits Following
Sport-Related Mild Traumatic Brain Injury. In: 2017 39th Annual International Conference
of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South
Korea, pp. 3212-3215, 2017.
Guragain B, Haider A, Fazel-Rezai R. A New Region-based SSVEP BCI Speller. In: Brain
Computer Interface Meeting. Pacific Grove, CA.; p. 176-177, 2018.
Haider A, Alhashim M, Tavakolian K, Fazel-Rezai R. Computer-assisted image processing
technique for tracking wound progress. In: 2016 IEEE International Conference on Electro
Information Technology (EIT). p. 750–4, 2016.
Alamdari N, Haider A, Arefin R, Verma AK, Tavakolian K, Fazel-Rezai R. A review of
methods and applications of brain computer interface systems. In: 2016 IEEE International
Conference on Electro Information Technology (EIT). p. 345–50, 2016.
Tan S, Haider A. A comparative study of polarimetric and non-polarimetric LiDAR in
deciduous-coniferous tree classification. In: International Geoscience and Remote
Sensing Symposium (IGARSS). p. 1178–81, 2010.
Haider A, Tan S, Stoker J. Classify Tree Species Using Polarimetric Lidar Data and
Neural Networks: A Case Study. In: International Conference on Electrical and Computer
Systems (ICECS), Ontario, Canada. Ottawa, Ontario.: International ASET Inc.; 2012.
Haider A, Haque SMA, Chowdhury MA. Speech-to-speech Translation from English to Bangla.
In: International Conference on Computer and Information Technology (ICCIT). Gazipur,
Bangladesh.; p. 4, 2005.
Haider A, Fazel-Rezai R. Issues and Challenges in Designing P300 and SSVEP Paradigms.
In: Brain-Computer Interfaces Handbook: Technological and Theoretical Advances. Boca
Raton: CRC Press; p. 501-523, 2018.
Haider A, Fazel-Rezai R. Application of P300 Event-Related Potential in Brain-Computer
Interface. In: Event-Related Potentials and Evoked Potentials. Rijeka, Croatia: InTech;
p. 19-38, 2017.
Guragain B, Haider A, Fazel-Rezai R. Hybrid Brain-Computer Interface Systems: Approaches,
Features, and Trends. In Evolving BCI Therapy-Engaging Brain State Dynamics. IntechOpen;
p. 113-139, 2018.