Ph.D. student at University of Virginia, United States
Shaghayegh Mirhosseini is an emerging researcher specializing in bioelectronics, cancer diagnostics, and microfluidics. She has extensive experience in the interdisciplinary field of bio-MEMS (microelectromechanical systems) and has made significant contributions to the study of cancer cells in microfluidic environments. With ongoing Ph.D. research in two prestigious universities, Mirhosseini’s work bridges the gap between biological science and electrical engineering, creating innovative solutions for cancer detection and treatment through advanced microfluidic technologies.
Profile
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Education
Shaghayegh is currently pursuing two Ph.D. degrees, one from the University of Virginia, where her focus is on cancer cells in microfluidic devices under the supervision of Prof. Nathan Swami, and another from the University of Tehran, where her research centers around separating Circulating Tumor Cells (CTCs) using deterministic lateral displacement (DLD) microfluidic systems. She holds a Master’s degree in Electrical Engineering with a focus on bioelectronics from the University of Tehran, where she worked on the simulation and fabrication of Erbium-doped waveguide amplifiers. Shaghayegh’s academic journey began with a Bachelor’s degree in Electrical Engineering from the University of Kashan, where she designed digital password locks using AVR microcontrollers.
Research Experience
Her diverse research experience spans multiple countries and institutions. At the University of Tehran, she was actively involved in the MEMS & NEMS Laboratory and the Urology Research Center. She further broadened her research scope as a visiting researcher at the University of Virginia and Mälardalen University in Sweden. Her work on bioelectronics, microfluidics, and cancer research has led to numerous publications in prestigious journals. Notably, her contributions to the separation and analysis of circulating tumor cells (CTCs) are innovative, offering potential for groundbreaking cancer diagnostics.
Research Interests
Shaghayegh’s research interests lie at the intersection of biology and electronics. She is particularly focused on cancer research, microfabrication, microfluidic device design, and MEMS technologies. Her expertise in microfluidics and bio-MEMS allows her to explore new diagnostic technologies, especially for cancer detection. She is also interested in machine learning and image processing, which she integrates into her research to develop more efficient and automated cancer cell detection systems. Additionally, Shaghayegh is passionate about drug delivery systems, colorimetric analysis, and the synthesis of gold nanoparticles, which play vital roles in her research projects.
Awards and Recognition
Although Shaghayegh Mirhosseini is still completing her doctoral studies, her innovative research contributions have already garnered significant recognition in the academic community. Her international collaborations and published works have earned her respect from her peers, leading to opportunities for collaboration with top researchers in the field of bioelectronics and cancer diagnostics. While specific awards are yet to be disclosed, her research publications and contributions to cancer diagnostics are paving the way for future accolades.
Publications
- Signal-Based Methods in Dielectrophoresis for Cell and Particle Separation
Published in 2022, cited by multiple articles. Read the full article.
- Microstructured Droplet-Based Porous Capacitive Pressure Sensor
Published in 2021, cited by multiple articles. Read the full article.
- Fabrication of an erbium–ytterbium-doped waveguide amplifier at communication wavelengths for integrated optics applications
Published in 2020, cited by multiple articles. Read the full article.
- A digital image colorimetry system based on smart devices for enzyme-linked immunosorbent assays
Published in 2020, cited by multiple articles. Read the full article.
- Effective boundary correction for deterministic lateral displacement microchannels to improve cell separation
Published in 2023, cited by multiple articles. Read the full article.
- Neural network-enabled multiparametric impedance signal templating for high throughput single-cell deformability cytometry
Published in 2023, cited by multiple articles. Read the full article.
Conclusion
Shaghayegh Mirhosseini presents a strong candidate for the Best Researcher Award due to her significant contributions in bioelectronics and cancer research. Her interdisciplinary expertise, combined with international research exposure, strong publication record, and technical mastery, makes her a highly deserving researcher. With ongoing improvements, including the completion of her Ph.D. studies and a stronger focus in a specialized niche, her potential to make transformative contributions to science is immense.