I am a Ph.D. candidate with Future Industries Institute, University of South Australia. I am also a member of Laser Physics and Photonics Devices Laboratory, UniSA STEM. My current research focuses on next generation photonic sensors applied in healthcare settings enabled by machine/deep learning. My research interests also include- reactive power optimization, renewable rich power grids, solar and wind energy, embedded systems, and image & signal processing.
I received B.Sc. degree in electrical engineering from the University of Engineering and Technology, Taxila, Pakistan. I was awarded fully funded 'Prime Minister's Scholarship' for the duration of my bachelors degree. I received the M.Sc. degree in renewable energy... Read more
About me
I am a Ph.D. candidate with Future Industries Institute, University of South Australia. I am also a member of Laser Physics and Photonics Devices Laboratory, UniSA STEM. My current research focuses on next generation photonic sensors applied in healthcare settings enabled by machine/deep learning. My research interests also include- reactive power optimization, renewable rich power grids, solar and wind energy, embedded systems, and image & signal processing.
I received B.Sc. degree in electrical engineering from the University of Engineering and Technology, Taxila, Pakistan. I was awarded fully funded 'Prime Minister's Scholarship' for the duration of my bachelors degree. I received the M.Sc. degree in renewable energy technology from the Institute of Energy, University of Dhaka, Bangladesh. Currenty, I am a recepient of Australian Governmnet's 'Research Training Program' scholarship. I am a graduate student member of the IEEE and member of the IEEE Power and Energy Society, Australia and New Zealand Optical Society (ANZOS) and IEEE Photonics Society.
About me
About me
PhD in Energy and Advanced Manufacturing (In Progress) The University of South Australia
Master of Science in Renewable Energy Technology University of Dhaka
Bachelor of Science in Electrical Engineering University of Engineering and Technology Taxila
Currently, I am working on a next generation photonic sensor system enabled with machine learning/deep learning and multimode fibre. The core idea is to develop a smart hospital or aged care bed which can monitor patient's physiological parameters non-intrusively and remotely.
Research
Research outputs for the last seven years are shown below. Some long-standing staff members may have older outputs included. To see earlier years visit ORCID
Open access indicates that an output is open access.
| Year | Output |
|---|---|
| 2017 |
35
29
|
| Year | Output |
|---|---|
| 2017 |
35
29
|
01. M. N. I. Sarkar, L. G. Meegahapola and M. Datta, "Optimal Reactive Power Dispatch Considering Reactive Power Support from Renewable Energy Generators," 2019 IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia, 2019, pp. 667-672. DOI: https://doi.org/10.1109/ICIT.2019.8755132
02. M. N. I. Sarkar, H. R. Ghosh, “Performance Enhancement of an a-Si: H/μc-Si: H Heterojunction pin Solar Cell by Tuning the Device Parameters.” Dhaka University Journal of Science 69.2 (2021): 88-95. DOI: https://doi.org/10.3329/dujs.v69i2.56488
03. M. N. I. Sarkar, L. G. Meegahapola, and M. Datta, “Reactive power management in renewable rich power grids: A review of grid-codes, renewable generators, support devices, control strategies and optimization algorithms”, IEEE Access, 6, pp.41458-41489, 2018, DOI: https://doi.org/10.1109/ACCESS.2018.2838563
04. M. N. I. Sarkar, H. R. Ghosh, “Techno-Economic Analysis and Challenges of Solar Powered Pumps Dissemination in Bangladesh”, Sustainable Energy Technologies and Assessments, vol. 20, p. 33-46, 2017. DOI: http://dx.doi.org/10.1016/j.seta.2017.02.013
05. M. N. I. Sarkar, A. I. Sifat, S. M. S. Reza, M. S. Sadique, “A review of optimum parameter values of a passive solar still and a design for southern Bangladesh”, Renewables: Wind, Water, and Solar, vol. 4, no. 1, 2017. DOI: http://dx.doi.org/10.1186/s40807-017-0038-8
06. M. N. I. Sarkar, H. R. Ghosh, “Efficiency Improvement of Amorphous Silicon Single Junction Solar Cell by Design Optimization”, 1st IEEEE International Conference on Electrical, Computer and Communication Engineering (ECCE 2017), 9-11 February 2017, Cox's Bazar, Bangladesh. DOI: https://doi.org/10.1109/ECACE.2017.7912989
07. M. N. I. Sarkar, “Estimation of solar radiation from cloud cover data of Bangladesh”, Renewables: Wind, Water, and Solar, vol. 3, no. 11, 2016. DOI: http://dx.doi.org/10.1186/s40807-016-0031-7
08. M. N. I. Sarkar, A. I. Sifat, “Global solar radiation estimation from commonly available meteorological data for Bangladesh”, Renewables: Wind, Water, and Solar, vol. 3, no. 6, 2016. DOI: http://dx.doi.org/10.1186/s40807-016-0027-3
09. M. N. I. Sarkar, “Effect of Various Model Parameters on Solar Cell Simulation: A SPICE Analysis”, Renewables: Wind, Water, and Solar, vol. 3, no. 15, 2016. DOI: http://dx.doi.org/10.1186/s40807-016-0035-3
10. M. N. I. Sarkar, S. Hossain, A.I Sifat, “Estimation of solar radiation from Temperature data of Bangladesh”, 5th IEEE International Conference on Informatics, Electronics, and Vision (ICIEV) 2016, 13- 14 May 2016, Dhaka, Bangladesh. DOI: http://dx.doi.org/10.1109/ICIEV.2016.7759996
11. A. I. Sifat, M. N. I. Sarkar, M. M. Uddin, P. K. Biswas, N. A. Aadit, “Microcontroller Based 3-phase Sequence Indicator”, 5th IEEE International Conference on Informatics, Electronics, and Vision (ICIEV), 13- 14 May 2016, Dhaka, Bangladesh. DOI: http://dx.doi.org/10.1109/ICIEV.2016.7759972
12. M. N. I. Sarkar, A. I. Sifat, N. Rahim, and S. M. S. Reza, “Replacing diesel irrigation pumps with solar photovoltaic pumps for sustainable irrigation in Bangladesh: A Feasibility study with HOMER”, 2nd IEEE International Conference on Electrical Information and Communication Technology (EICT) 2015, Khulna, Bangladesh. DOI: http://dx.doi.org/10.1109/EICT.2015.7392004
13. S. M. S. Reza, M. N. I. Sarkar, “Design and Performance Analysis of a Directly Coupled Solar Photovoltaic Irrigation Pump System at Gaibandha, Bangladesh”, 3rd IEEE International Conference on Green Energy & Technology (ICGET) 2015, Dhaka, Bangladesh. DOI: http://dx.doi.org/10.1109/ICGET.2015.7315116
Research
Currently, I am working on a next generation photonic sensor system enabled with machine learning/deep learning and multimode fibre. The core idea is to develop a smart hospital or aged care bed which can monitor patient's physiological parameters non-intrusively and remotely.
External engagement & recognition
| Organisation | Country |
|---|---|
| University of Dhaka | BANGLADESH |
Teaching & student supervision
