MUHAMMAD ZEESHAN BAIG
Adjunct Faculty
LinkedIn ProfileEducation
- PhD in Computing, Macquarie University, Sydney, Australia (January 2019)
- Master of Engineering in Robotics and Intelligent Machine Engineering, School of Mechanical and Manufacturing Engineering, National University of Science and Technology (NUST), Islamabad, Pakistan (May 2015)
- Bachelor of Science in Electronics Engineering, Mohammad Ali Jinnah University, Islamabad Campus, Pakistan (August 2011)
SUBJECTS TAUGHT/STUDENT PROJECT MENTOR
- Introduction to business information system
- Human-computer interaction
- Programming technologies
- Microprocessors
- Digital systems
- Programmable logic controllers
- Introduction to computing
- Computer programming
- Object orient programming
- Digital image processing
- Machine learning
- Digital signal processing
- ASIC design and FPGA
- Signals and systems
- Calculus and analytic geometry
- Applied differential equations
- Digital logic design
- Applied physics
- Electromagnetic theory
- Linear algebra using MATLAB
EXPERIENCE
Casual Academic, Macquarie University and University of Western Sydney, Australia (February 2018 – Present)
- Conducted tutorials for undergraduate students
Research Scholar, Northumbria University, Newcastle, United Kingdom (November 2015 – July 2016)
- Contributed to a research project that was focused on the development of an intelligent system to analyse Motor Imagery EEG signals
- Focused on the analysis and development of feature selection algorithms based on Machine Learning techniques
- Role in setting up experiments contributed towards the development of new evolutionary computing techniques for the classification of EEG signals
Lecturer, Mohammad Ali Jinnah University, Islamabad Campus, Pakistan (August 2011 – November 2015)
- Taught undergraduate courses
- Demonstrate and conduct laboratory experiments
- Supervise undergraduate student’s projects
- Laboratory’s In-charge
- Maintenance of laboratories and inventory check
- Counsellor of Undergraduate students
- Course curriculum creation according to the outcome-based learning system
Research Interests
- Digital Signal Processing
- Machine learning
- Data Science
- Computer Vision
Journal Publications
- Baig, Muhammad Zeeshan, Nauman Aslam, Hubert PH Shum, and Li Zhang. "Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG." Expert Systems with Applications 90 (2017): 184-195.
- Baig, Muhammad Zeeshan, Nauman Aslam, and Hubert PH Shum. "Filtering techniques for channel selection in motor imagery EEG applications: a survey." Artificial intelligence review (2019): 1-26.
- Baig, Muhammad Zeeshan, and Manolya Kavakli. "Connectivity analysis using functional brain networks to evaluate cognitive activity during 3d modelling." Brain sciences 9, no. 2 (2019): 24.
- Baig, Muhammad Zeeshan, and Manolya Kavakli. "A Survey on Psycho-Physiological Analysis & Measurement Methods in Multimodal Systems." Multimodal Technologies and Interaction 3, no. 2 (2019): 37.
Conference Publications
- Baig, Muhammad Zeeshan, Ehtasham Javed, Yasar Ayaz, Waseem Afzal, Syed Omer Gillani, Muhammad Naveed, and Mohsin Jamil. "Classification of left/right hand movement from EEG signal by intelligent algorithms." In 2014 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE), pp. 163-168. IEEE, 2014.
- Alibay, Farzana, Manolya Kavakli, Jean-Rémy Chardonnet, and Muhammad Zeeshan Baig. "The usability of speech and/or gestures in multi-modal interface systems." In Proceedings of the 9th International Conference on Computer and Automation Engineering, pp. 73-77. ACM, 2017.
- Baig, Muhammad Zeeshan, Yasir Mehmood, and Yasar Ayaz. "A BCI system classification technique using median filtering and wavelet transform." In Dynamics in Logistics, pp. 355-364. Springer, Cham, 2016.
- Baig, Muhammad Zeeshan, and Manolya Kavakli. "Analyzing Novice and Expert User’s Cognitive Load in using a Multi-Modal Interface System." In 2018 26th International Conference on Systems Engineering (ICSEng), pp. 1-7. IEEE, 2018.
- Baig, Muhammad Zeeshan, and Manolya Kavakli. "EEG signal analysis in 3D modelling to identify correlations between task completion in design user’s cognitive activities." In 25th International Conference on Neural Information Processing, ICONIP 2018, pp. 340-352. Springer, 2018.
- Baig, Muhammad Zeeshan, and Manolya Kavakli. "Qualitative analysis of a multimodal interface system using speech/gesture." In 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 2811-2816. IEEE, 2018.
- Baig, Muhammad Zeeshan, and Manolya Kavakli. "Expertise Classification using Functional Brain Networks and Normalized Transfer Entropy of EEG in Design Applications." In Proceedings of the 2019 11th International Conference on Computer and Automation Engineering, pp. 41-46. ACM, 2019.
Editorial and Reviewer Activities
- Editorial Reviewer IEEE International Conference on Emerging Technologies (ICET 2012)
- Member Editorial Committee and Member Publication Committee and Organizers of the IEEE International Conference on Emerging Technologies (ICET 2013)
- Member Editorial Committee and Member Publication Committee of World Engineers Congress (WEC 2013)
- Conducted 3-day workshop on Introduction to MATLAB at Riphah International University, Islamabad, under the Department of Basic Sciences
- Conducted 3-day workshop on Modelling, Simulation and Implementation of Digital Design using FPGA under the umbrella of Pakistan Engineering Council (PEC) at Mohammad Ali Jinnah University, Islamabad
- Conducted 3-day hands-on workshop on DSP using Texas Instrument DSKc6713 DSP kit under the umbrella of Pakistan Engineering Council (PEC) at Mohammad Ali Jinnah University, Islamabad
Awards & Recognition
- Won National Award for Young HR Manager
- Best HR Manager from Indira Group
Memberships
- Life Member of National HRD Network
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