Miss Salma Sultana Tunny
Ms. Salma Sultana Tunny
Postgraduate Student
Department of Chemical and Biological Engineering
Salma began her Ph.D. studies in February 2023. She is focusing on creating nanosensors that can monitor infectious diseases in real-time. Salma is passionate about biomedical imaging systems and is currently exploring how photoacoustic imaging systems can be used for medical purposes. Her past experience with spectroscopy and hyperspectral imaging systems, particularly in regards to biological products, has further strengthened her expertise in this area. In her spare time, she enjoys traveling, gardening, and volunteering.
Qualifications
- B.Sc. in Agricultural Engineering, Bangladesh Agricultural University, Bangladesh, 2019
- M.Sc. in Agricultural Machinery Engineering, Chungnam National University, South Korea, 2022
- Tunny, S. S., Bell, T. D., Salimova, E., Plaxco, K. W., Hagemeyer, C. E., & Corrie, S. R. (2026). Characterization of Fluorophore-Quencher Pairs for Distance-Dependent Molecular Sensing in Photoacoustic Imaging. Chemical & Biomedical Imaging. https://pubs.acs.org/doi/full/10.1021/cbmi.5c00178
- Rahman, M. A., Tunny, S. S., Kayes, A. S. M., Cheng, P., Huq, A., Rana, M. S., … & Tusher, A. S. (2025). Approximation-based energy-efficient cyber-secured image classification framework. Signal Processing: Image Communication, 133, 117261. https://doi.org/10.1016/j.image.2025.117261
- Rahman M.A., Tunny, S.S., Bhuiyan, H., Islam, M.R.: A case study on integrating energy‐efficient technologies for display devices. Electronics Letters. 2024 Aug;60(15): e13304. https://doi.org/10.1049/ell2.13304
- Gabriel T. Huynh, Salma S. Tunny, Jessica E. Frith, Laurence Meagher, and Simon R. Corrie. Organosilica Nanosensors for Monitoring Spatiotemporal Changes in Oxygen Levels in Bacterial Cultures. ACS Sensors. https://pubs.acs.org/doi/abs/10.1021/acssensors.3c02747
- Rahman, M.A., Huq, A., Tunny, S.S., Anik, M.H., Pervin, M.T., Islam, M.R.: A feasibility analysis of image approximation with image quality assessments. IET Image Process. 18, 897–913 (2024). https://doi.org/10.1049/ipr2.12993
- Tunny, S.S.; Kurniawan, H.; Amanah, H.Z.; Baek, I; Kim, M,-S; Chan, D.; Faqeer-zada, M.A.; Wakholi, C.; Cho, B.-K. Hyperspectral imaging techniques for detection of foreign materials from fresh-cut vegetables, Postharvest Biology and Technology, Volume 201, 2023, 112373, https://doi.org/10.1016/j.postharvbio.2023.112373
- Tunny, S.S.; Amanah, H.Z.; Faqeer-zada, M.A.; Wakholi, C.; Kim, M.S.; Baek, I.; Cho, B.-K. Multispectral Wavebands Selection for the Detection of Potential Foreign Materials in Fresh-Cut Vegetables. Sensors 2022, 22, 1775. https://doi.org/10.3390/s22051775
- Amanah, H.Z.; Tunny, S.S.; Masithoh, R.E.; Choung, M.-G.; Kim, K.-H; Kim, M,-S; Baek, I; Lee, W.-H.; Cho, B.-K. Nondestructive Prediction of Isoflavones and Oligosaccharides in Intact Soybean Seed Using Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) Spectroscopic Techniques. Foods 2022, 11, 232. https://doi.org/10.3390/foods11020232
- Amanah, H.Z.; Wakholi, C.; Perez, M.; Faqeerzada, M.A.; Tunny, S.S.; Masithoh, R.E.; Choung, M.-G.; Kim, K.-H.; Lee, W.-H.; Cho, B.-K. Near-Infrared Hyperspectral Imaging (NIR-HSI) for Nondestructive Prediction of Anthocyanins Content in Black Rice Seeds. Appl. Sci. 2021, 11, 4841. https://doi.org/10.3390/app11114841
- Tunny, S.S., Rabbani, M., & Basir, M. (2019). Design and Fabrication of Windchill for Low Cost Vegetable Preservation. Progressive Agriculture, 30(2), 209-218. DOI: https://doi.org/10.3329/pa.v30i2.42516
Teaching Commitments
- ENG1012 - Engineering Design
Last modified: 12/03/2026