This project was conducted at the NanoBioElectronics Lab, Rutgers University, under the supervision of Professor Mehdi Javanmard. I chose to pursue this work to improve sensitivity and reliability in nanostructured biosensors for cancer biomarker detection.
Design potential nanowell structures.
Fabricate nanowell-based biosensors using cleanroom techniques.
Evaluate biosensor performance for biomarker detection.
The optimized nanowell configurations demonstrated improved impedance sensitivity compared to conventional structures. The work provided important design guidelines for nanostructure-enabled biosensors and was published in Biosensors (2024).
Conducted at NanoBioElectronics Lab, Rutgers University, this study focused on understanding how fabrication parameters influence biosensor performance.
Compare metal deposition methods (evaporation vs. sputtering).
Test oxide layer modifications in biosensor fabrication.
Statistically evaluate device performance across variations.
The study showed that both metal deposition and oxide choice significantly influence sensitivity and reproducibility. These insights serve as a roadmap for robust biosensor fabrication protocols.
This project aimed to address the urgent clinical need for rapid sepsis diagnostics. Conducted at Rutgers University, it involved collaboration with clinical partners for patient sample collection.
Collect human serum samples from sepsis patients.
Detect IL-6 biomarkers using nanowell biosensors.
Validate results against ELISA testing.
The biosensor demonstrated strong agreement with ELISA assays, highlighting its potential as a rapid, label-free diagnostic tool for early sepsis detection.
This study explored the role of biosensors in monitoring inflammatory biomarkers in wound healing, using animal models at Rutgers University.
Measure IL-6 and TNF-α levels in wound fluid at multiple time points.
Validate sensor results against ELISA.
The biosensor enabled real-time tracking of inflammation dynamics, offering insights into wound healing progression. This approach could help improve treatment monitoring in spinal cord injury patients.
This project was part of a larger clinical effort at the University of Tehran to improve intraoperative thyroid cancer diagnostics.
Collect thyroid nodule impedance data.
Perform statistical scoring and analysis.
The scoring system demonstrated feasibility in distinguishing malignant from benign nodules. Results were published in Diagnostics (2022).
This was my undergraduate thesis at the University of Tehran, supervised by Prof. Mohammad Abdolahad. It earned the Best B.Sc. Thesis Award in ECE.
Design and fabricate needle and patch electrodes.
Operate the TDP impedance device during surgeries.
Collect and analyze lymph node samples.
The system successfully distinguished healthy from cancerous lymph nodes intraoperatively, supporting clinical decision-making. Published in Surgery Today (2025).
Conducted at the University of Tehran, this project investigated impedance monitoring as a non-invasive method during EChT treatments for breast cancer patients.
Develop two-needle impedance sensors.
Collect blood samples during/after therapy.
Compare results across patient groups.
Findings confirmed measurable impedance changes linked to therapy response, offering a potential real-time monitoring tool. Published in International Journal of Cancer Management (2024).
This summer internship project at the University of Tehran focused on developing impedance-based diagnostic methods for breast cancer patients.
Design and fabricate two-needle electrode sensors.
Conduct case studies on patients with different breast cancer grades.
The system successfully differentiated blood impedance signatures across cancer stages, demonstrating the feasibility of non-invasive diagnostics.
This project at the University of Tehran investigated biosensing approaches to anticipate local recurrence risk in breast cancer patients.
Fabricate three-electrode platinum sensors.
Collect and analyze seroma fluid samples.
The biosensor showed measurable electrochemical signatures associated with recurrence risk, highlighting potential for post-surgical monitoring.
Conducted at the University of Tehran, this project focused on reproductive health monitoring in chemotherapy-exposed animal models.
Fabricate and functionalize glassy carbon electrodes (GCE).
Measure ROS levels via cyclic voltammetry.
The system successfully quantified ROS variations in sperm samples, providing a platform for evaluating chemotherapy-induced fertility effects.