HR job title
- Assistant Professor
- Contact Info
- Websites
Ceylan Koydemir, Hatice Assistant Professor
Positions
- Assistant Professor, Biomedical Engineering, College of Engineering
- Overview
- Publications
- Teaching
- Background
- Contact
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Overview
Publications
selected publications
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academic article
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Istif, E., Mirzajani, H., Da, . ., Mirlou, F., Ozuaciksoz, E. Y., Cakr, C., ... Beker, L.
(2023).
Miniaturized wireless sensor enables real-time monitoring of food spoilage. Nature Food.
4(5), 427-436.
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Li, Y., Liu, T., Koydemir, H. C., Wang, H., ORiordan, K., Bai, B., ... Ozcan, A.
(2022).
Deep Learning-Enabled Detection and Classification of Bacterial Colonies Using a Thin-Film Transistor (TFT) Image Sensor. ACS Photonics.
9(7), 2455-2466.
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Abbasiasl, T., Mirlou, F., Istif, E., Ceylan Koydemir, H., & Beker, L.
(2022).
A wearable paper-integrated microfluidic device for sequential analysis of sweat based on capillary action. 1(4), 775-786.
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Koutnik, V. S., Borthakur, A., Leonard, J., Alkidim, S., Koydemir, H. C., Tseng, D., ... Mohanty, S. K.
(2022).
Mobility of polypropylene microplastics in stormwater biofilters under freeze-thaw cycles. 3, 100048-100048.
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Xu, W., & Ceylan Koydemir, H.
(2022).
Non-invasive biomedical sensors for early detection and monitoring of bacterial biofilm growth at the point of care. Lab on a Chip: miniaturisation for chemistry, physics, biology, materials science and bioengineering.
22(24), 4758-4773.
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Leonard, J., Koydemir, H. C., Koutnik, V. S., Tseng, D., Ozcan, A., & Mohanty, S. K.
(2022).
Smartphone-enabled rapid quantification of microplastics. 3, 100052-100052.
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Isil, C., de Haan, K., Gorocs, Z., Koydemir, H. C., Peterman, S., Baum, D., ... Ozcan, A.
(2021).
Phenotypic Analysis of Microalgae Populations Using Label-Free Imaging Flow Cytometry and Deep Learning. ACS Photonics.
8(4), 1232-1242.
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Koydemir, H. C., & Ozcan, A.
(2021).
Smartphone-based sensors and imaging devices for global health. Advanced Optical Technologies.
10(2), 87-88.
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Wang, H., Ceylan Koydemir, H., Qiu, Y., Bai, B., Zhang, Y., Jin, Y., ... Ozcan, A.
(2020).
Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning. 9(1), 118.
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Grcs, Z., Baum, D., Song, F., de Haan, K., Ceylan Koydemir, H., Qiu, Y., ... Ozcan, A.
(2020).
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer. Lab on a Chip: miniaturisation for chemistry, physics, biology, materials science and bioengineering.
20(23), 4404-4412.
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Ceylan Koydemir, H., & Ray, A.
(2020).
Mobile Diagnostic Devices for Digital Transformation in Personalized Healthcare. Diagnostics.
10(12), 1008-1008.
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Ghaderinezhad, F., Ceylan Koydemir, H., Tseng, D., Karinca, D., Liang, K., Ozcan, A., & Tasoglu, S.
(2020).
Sensing of electrolytes in urine using a miniaturized paper-based device. Scientific Reports.
10(1), 13620.
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de Haan, K., Ceylan Koydemir, H., Rivenson, Y., Tseng, D., Van Dyne, E., Bakic, L., ... Ozcan, A.
(2020).
Automated screening of sickle cells using a smartphone-based microscope and deep learning. npj Digital Medicine.
3(1), 76.
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Koydemir, H. C., Coulibaly, J. T., Tseng, D., Bogoch, I. I., & Ozcan, A.
(2019).
Design and validation of a wide-field mobile phone microscope for the diagnosis of schistosomiasis. 30, 128-129.
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Tok, S., de Haan, K., Tseng, D., Usanmaz, C. F., Ceylan Koydemir, H., & Ozcan, A.
(2019).
Early detection of E. coli and total coliform using an automated, colorimetric and fluorometric fiber optics-based device. Lab on a Chip: miniaturisation for chemistry, physics, biology, materials science and bioengineering.
19(17), 2925-2935.
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Snow, J. W., Ceylan Koydemir, H., Karinca, D. K., Liang, K., Tseng, D., & Ozcan, A.
(2019).
Rapid imaging, detection, and quantification of Nosema ceranae spores in honey bees using mobile phone-based fluorescence microscopy. Lab on a Chip: miniaturisation for chemistry, physics, biology, materials science and bioengineering.
19(5), 789-797.
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Ceylan Koydemir, H., Rajpal, S., Gumustekin, E., Karinca, D., Liang, K., Grcs, Z., Tseng, D., & Ozcan, A.
(2019).
Smartphone-based turbidity reader. Scientific Reports.
9(1), 19901.
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Ghonge, T., Ceylan Koydemir, H., Valera, E., Berger, J., Garcia, C., Nawar, N., ... Bashir, R.
(2019).
Smartphone-imaged microfluidic biochip for measuring CD64 expression from whole blood. The Analyst.
144(13), 3925-3935.
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Zhang, Y., Ouyang, M., Ray, A., Liu, T., Kong, J., Bai, B., ... Ozcan, A.
(2019).
Computational cytometer based on magnetically modulated coherent imaging and deep learning. 8(1), 91.
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Rivenson, Y., Koydemir, H. C., Wang, H., Wei, Z., Ren, Z., Gunaydin, H., ... Ozcan, A.
(2018).
Deep Learning Enhanced Mobile-Phone Microscopy. ACS Photonics.
5(6), 2354-2364.
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Mller, V., Sousa, J. M., Ceylan Koydemir, H., Veli, M., Tseng, D., Cerqueira, L., ... Westerlund, F.
(2018).
Identification of pathogenic bacteria in complex samples using a smartphone based fluorescence microscope. RSC Advances: an international journal to further the chemical sciences.
8(64), 36493-36502.
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Wu, Y., Calis, A., Luo, Y. i., Chen, C., Lutton, M., Rivenson, Y., ... Ozcan, A.
(2018).
Label-Free Bioaerosol Sensing Using Mobile Microscopy and Deep Learning. ACS Photonics.
5(11), 4617-4627.
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Ceylan Koydemir, H., & Ozcan, A.
(2018).
Smartphones Democratize Advanced Biomedical Instruments and Foster Innovation. Clinical Pharmacology and Therapeutics.
104(1), 38-41.
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Koydemir, H. C., & Ozcan, A.
(2018).
Wearable and Implantable Sensors for Biomedical Applications. Annual Review of Analytical Chemistry.
11(1), 127-146.
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Grcs, Z., Tamamitsu, M., Bianco, V., Wolf, P., Roy, S., Shindo, K., ... Ozcan, A.
(2018).
A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples. 7(1), 66.
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Zhang, Y., Ceylan Koydemir, H., Shimogawa, M. M., Yalcin, S., Guziak, A., Liu, T., ... Ozcan, A.
(2018).
Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning. Light: Science and Applications.
7(1), 108.
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Koydemir, H. C., Feng, S., Liang, K., Nadkarni, R., Benien, P., & Ozcan, A.
(2017).
Comparison of supervised machine learning algorithms for waterborne pathogen detection using mobile phone fluorescence microscopy. Nanophotonics.
6(4), 731-741.
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Bogoch, I. I., Koydemir, H. C., Tseng, D., Ephraim, R., Duah, E., Tee, J., Andrews, J. R., & Ozcan, A.
(2017).
Evaluation of a Mobile Phone-Based Microscope for Screening of Schistosoma haematobium Infection in Rural Ghana. AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE.
96(6), 1468-1471.
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Koydemir, H. C., & Ozcan, A.
(2017).
Mobile phones create new opportunities for microbiology research and clinical applications. Future Microbiology.
12(8), 641-644.
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Grcs, Z., Rivenson, Y., Ceylan Koydemir, H., Tseng, D., Troy, T. L., Demas, V., & Ozcan, A.
(2016).
Quantitative Fluorescence Sensing Through Highly Autofluorescent, Scattering, and Absorbing Media Using Mobile Microscopy. ACS Nano.
10(9), 8989-8999.
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Cortazar, B., Koydemir, H. C., Tseng, D., Feng, S., & Ozcan, A.
(2015).
Quantification of plant chlorophyll content using Google Glass. Lab on a Chip: miniaturisation for chemistry, physics, biology, materials science and bioengineering.
15(7), 1708-1716.
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Koydemir, H. C., Gorocs, Z., Tseng, D., Cortazar, B., Feng, S., Chan, R., ... Ozcan, A.
(2015).
Rapid imaging, detection and quantification of Giardia lamblia cysts using mobile-phone based fluorescent microscopy and machine learning. Lab on a Chip: miniaturisation for chemistry, physics, biology, materials science and bioengineering.
15(5), 1284-1293.
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Koydemir, H. C., Kulah, H., Alp, A., Uner, A. H., Hascelik, G., & Ozgen, C.
(2014).
A Fully Microfabricated Electrochemical Sensor and its Implementation for Detection of Methicillin Resistance in Staphylococcus aureus. IEEE Sensors Journal.
14(6), 1844-1851.
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Koydemir, H. C., Kulah, H., & Ozgen, C.
(2014).
Solvent Compatibility of Parylene C Film Layer. IEEE Journal of Microelectromechanical Systems.
23(2), 298-307.
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Ceylan Koydemir, H., Klah, H., zgen, C., Alp, A., & Haselik, G.
(2011).
MEMS biosensors for detection of methicillin resistant Staphylococcus aureus. Biosensors and Bioelectronics.
29(1), 1-12.
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Koutnik, V. S., Leonard, J., Glasman, J. B., Brar, J., Koydemir, H. C., Novoselov, A., ... Mohanty, S. K.
Microplastics retained in stormwater control measures: Where do they come from and where do they go?. Water Research.
210, 118008-118008.
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Istif, E., Mirzajani, H., Da, . ., Mirlou, F., Ozuaciksoz, E. Y., Cakr, C., ... Beker, L.
(2023).
Miniaturized wireless sensor enables real-time monitoring of food spoilage. Nature Food.
4(5), 427-436.
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chapter
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Ceylan Koydemir, H., Klah, H., & zgen, C.
(2013).
Thin Film Biosensors. Nazarpour, S. (Eds.),
Thin Films and Coatings in Biology.
(pp. 265-300).
Springer Nature.
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Ceylan Koydemir, H., Klah, H., & zgen, C.
(2013).
Thin Film Biosensors. Nazarpour, S. (Eds.),
Thin Films and Coatings in Biology.
(pp. 265-300).
Springer Nature.
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conference paper
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Li, Y., Liu, T., Koydemir, H. C., Wang, H., O'Riordan, K., Bai, B., ... Ozcan, A.
(2023).
Rapid detection and classification of bacterial colonies using a thin film transistor (TFT) image sensor and deep learning (Conference Presentation). 16.
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Li, Y., Liu, T., Koydemir, H. C., Zhang, Y., Yang, E., Wang, H., ... Ozcan, A.
(2023).
Stain-free, rapid, and quantitative viral plaque assay using deep learning and time-lapse holographic imaging (Conference Presentation). 20.
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Li, Y., Liu, T., Koydemir, H. C., Wang, H., ORiordan, K., Bai, B., ... Ozcan, A.
(2022).
Early detection and classification of bacterial colonies using a Thin-Film-Transistor (TFT)-based image sensor and deep learning. fw6e.2.
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Grcs, Z. S., Baum, D., Song, F., De Haan, K., Ceylan Koydemir, H., Qiu, Y., ... Ozcan, A.
(2021).
Label-free detection of Giardia lamblia cysts in water samples using a field-portable imaging flow cytometer and deep learning. 14.
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Wang, H., Koydemir, H. C., Qiu, Y., Bai, B., Zhang, Y., Jin, Y., ... Ozcan, A.
(2021).
Deep Learning-enabled Coherent Imaging Achieves Early Detection and Classification of Bacteria in Water Samples. atu4l.5.
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Grcs, Z., Baum, D., Song, F., de Haan, K., Koydemir, H. C., Qiu, Y., ... Ozcan, A.
(2021).
Deep Learning-enabled Holographic Imaging Flow-Cytometry for Label-Free Detection of Giardia Lamblia in Water Samples. df4c.1.
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Liu, T., Zhang, Y., Ouyang, M., Ray, A., Kong, J., Bai, B., ... Ozcan, A.
(2021).
Deep learning-based computational cytometer using magnetically-modulated coherent imaging. 16.
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Wang, H., Koydemir, H. C., Qiu, Y., Bai, B., Zhang, Y., Jin, Y., ... Ozcan, A.
(2021).
Early identification of live bacteria in water samples using time-lapse holographic imaging and deep learning. 64.
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Isil, C., De Haan, K., Koydemir, H. C., Grcs, Z., Baum, D., Song, F., ... Ozcan, A.
(2021).
Label-free analysis of micro-algae populations using a high-throughput holographic imaging flow cytometer and deep learning. 12.
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Il, . ., de Haan, K., Grcs, Z., Koydemir, H. C., Peterman, S., Baum, D., ... Ozcan, A.
(2021).
Label-free imaging flow cytometry for phenotypic analysis of microalgae populations using deep learning. fm3d.4.
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De Haan, K., Ceylan Koydemir, H., Rivenson, Y., Tseng, D., Van Dyne, E., Bakic, L., ... Ozcan, A.
(2021).
Screening of sickle cell disease using a smartphone-based microscope and deep-learning. 9.
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Rivenson, Y., Koydemir, H. C., Wang, H., Wei, Z., Ren, Z., Gunaydin, H., ... Ozcan, A.
(2018).
Deep learning improves mobile-phone microscopy (Conference Presentation). 25.
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Grcs, Z. S., Rivenson, Y., Ceylan Koydemir, H., Tseng, D., Troy, T. L., Demas, V., & Ozcan, A.
(2018).
Compact imaging system for quantitative fluorescence sensing through autofluorescent, scattering and absorbing media (Conference Presentation). 23.
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Wang, H., Rivenson, Y., Koydemir, H. C., Wei, Z., Ren, Z., Gunaydin, H., ... Ozcan, A.
(2018).
Deep Learning Enhances Mobile Microscopy. cth1b.2.
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Koydemir, H. C., Feng, S., Liang, K., Nadkarni, R., Tseng, D., Benien, P., & Ozcan, A.
(2017).
A survey of supervised machine learning models for mobile-phone based pathogen identification and classification. Proceedings of SPIE.
100550a-100550a-5.
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Koydemir, H. C., Feng, S., Liang, K., Nadkarni, R., Benien, P., & Ozcan, A.
(2017).
Automated Detection and Enumeration of Waterborne Pathogens Using Mobile Phone Microscopy and Machine Learning. Optics InfoBase Conference Papers.
sm2c.3.
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Gorocs, Z., Rivenson, Y., Koydemir, H. C., Tseng, D., Troy, T. L., Demas, V., & Ozcan, A.
(2017).
Mobile Microscope for Quantitative Fluorescence Sensing Through Highly Autofluorescent and Scattering Media. Optics InfoBase Conference Papers.
atu4a.5.
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Koydemir, H. C., Goracs, Z., Tseng, D., Cortazar, B., Feng, S. W., Chan, R., ... Ozcan, A.
(2016).
IRapid and sensitive detection of waterborne pathogens using machine learning on a smartphone based fluorescence microscope (Conference Presentation). Proceedings of SPIE.
96990g-96990g-1.
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Koydemir, H. C., Bogoch, I. I., Tseng, D., Ephraim, R., Duah, E., Tee, J., Andrews, J. R., & Ozcan, A.
(2016).
Field-testing of a cost-effective mobile-phone based microscope for screening of Schistosoma haematobium infection (Conference Presentation). Proceedings of SPIE.
96990j-96990j-1.
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Koydemir, H. C., Gorocs, Z., McLeod, E., Tseng, D., & Ozcan, A.
(2015).
Field portable mobile phone based fluorescence microscopy for detection of Giardia lamblia cysts in water samples. Proceedings of SPIE.
93140s-93140s-8.
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Cortazar, B., Ceylan-Koydemir, H., Tseng, D., Feng, S., & Ozcan, A.
(2015).
Field quantification of plant chlorophyll content using Google Glass. Proceedings of SPIE.
931405-931405-7.
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Bahrieh, G., Koydemir, H. C., Erdem, M., Ozgur, E., Gunduz, U., & Kulah, H.
(2013).
Dielectric Characterization of Imatinib Resistant K562 Leukemia Cells through Electrorotation with 3-D Electrodes. Proceedings of IEEE Sensors.
1026-1029.
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Bahrieh, G., Koydemir, H. C., Erdem, M., zgr, E., Gndz, U., & Klah, H.
(2013).
Dielectric Characterization of Imatinib Resistant K562 Leukemia Cells through Electrorotation with 3-D Electrodes. 1-4.
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Koydemir, H. C., Kulah, H., Ozgen, C., & Tosun, I.
(2012).
Effects of Solvents on Dissolution of Photoresist in Parylene Microchannels. 372-375.
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Li, Y., Liu, T., Koydemir, H. C., Wang, H., O'Riordan, K., Bai, B., ... Ozcan, A.
(2023).
Rapid detection and classification of bacterial colonies using a thin film transistor (TFT) image sensor and deep learning (Conference Presentation). 16.
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institutional repository document
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Shah, V., Yang, X., Arnheim, A., Udani, S., Tseng, D., Luo, Y. i., ... Di Carlo, D.
(2023).
Amphiphilic particle-stabilized nanoliter droplet reactors with a multi-modal portable reader for distributive biomarker quantification
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Li, Y., Liu, T., Koydemir, H. C., Wang, H., O'Riordan, K., Bai, B., ... Ozcan, A.
(2022).
Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor
-
Liu, T., Li, Y., Koydemir, H. C., Zhang, Y., Yang, E., Wang, H., ... Ozcan, A.
(2022).
Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography
-
Rivenson, Y., Koydemir, H. C., Wang, H., Wei, Z., Ren, Z., Gunaydin, H., ... Ozcan, A.
(2017).
Deep learning enhanced mobile-phone microscopy
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Shah, V., Yang, X., Arnheim, A., Udani, S., Tseng, D., Luo, Y. i., ... Di Carlo, D.
(2023).
Amphiphilic particle-stabilized nanoliter droplet reactors with a multi-modal portable reader for distributive biomarker quantification
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patent
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Ozcan, A., Rivenson, Y., Wang, H., Ceylan Koydemir, H., & Qiu, Y.
(2021).
Systems and methods for the early detection and classification of live microorganisms using time-lapse coherent imaging and deep learning
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Ozcan, A., de Haan, K., Ceylan Koydemir, H., Tok, S., & Tseng, D.
(2021).
Early detection of e. coli and total coliform using an automated, colorimetric and fluorometric fiber optics-based device
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Ozcan, A., Zhang, Y., & Ceylan Koydemir, H.
(2020).
Device and method for motility-based label-free detection of motile objects in a fluid sample
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Ozcan, A., Cortazar, B., Ceylan Koydemir, H., Tseng, D., & Feng, S.
(2019).
Method and device for quantification of plant chlorophyll content
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Kulah, H., Ceylan Koydemir, H., & Ozgen, C.
(2013).
Micro electrochemical sensor
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Ozcan, A., Rivenson, Y., Wang, H., Ceylan Koydemir, H., & Qiu, Y.
(2021).
Systems and methods for the early detection and classification of live microorganisms using time-lapse coherent imaging and deep learning
Teaching
teaching activities
- BMEN291 Hnr-research Instructor
- BMEN341 Biotransport Instructor
- BMEN452 Mass & Ener Trans Biosys Instructor
- BMEN491 Hnr-research Instructor
- BMEN685 Directed Studies Instructor
- BMEN691 Research Instructor
Background
education and training
- Ph.D. in Chemical Engineering, Middle East Technical University - (Ankara, Ankara, Turkey) 2013
- M.Sc. in Chemical Engineering, Middle East Technical University - (Ankara, Ankara, Turkey) 2007
- B.Sc. in Environmental Engineering, Minor in Food Engineering, Middle East Technical University - (Ankara, Ankara, Turkey) 2004
Contact
first name
- Hatice
has last name
- Ceylan Koydemir
Other
In the News
- AI-based cytometer detects rare cells in blood using magnetic modulation and deep learning News Release
- Deep learning enables early detection and classification of live bacteria using holography News Release
- Mobile-phone microscope detects the 'silent killer' of honey bees News Release
- UCLA researchers develop prototype to more efficiently detect rare cells in blood News Release
- UCLA researchers develop smartphone-based microscope to detect lethal bee parasites News Release
- hckoydemir@tamu.edu