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Shahrzad Towfighian

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Associate Professor

Binghamton University

United States

Research Interests

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About

Shahrzad Towfighian is an Associate Professor at Binghamton University in the United States. Her research primarily focuses on energy harvesting technologies, including triboelectric and piezoelectric devices, particularly in the context of total knee replacements. Recent publications highlight her work on load monitoring, energy optimization, and self-powered sensing technologies.

Recent Grants

Grant: Open

Self-Powered Load Sensors for Total Knee Replacement Health Monitoring

Open Date: 2022-06-01

Close Date: 2027-05-31

Grant: Close

MEMS High Voltage Triboelectric Levitation: A Generactuator

Open Date: 2019-06-01

Close Date: 2022-05-31

Grant: Close

An implantable self-powered load sensor for total knee replacement health monitoring

Open Date: 2017-09-01

Close Date: 2019-08-31

Grant: Close

A New Approach to Capacitive Sensing: Repulsive Sensors

Open Date: 2016-09-01

Close Date: 2019-08-31

Articles (16)

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2025

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2021

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2021

Collaborators (3)

Emre Salman

Stony Brook University

UNITED STATES

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Mahmood Chahari

Binghamton University

UNITED STATES

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Benyamin Davaji

Assistant Professor

Northeastern University

UNITED STATES

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Shahrzad Towfighian

Research Interests

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About

Recent Grants

Articles (16)

Performance of piezoelectric and triboelectric transducers under gait loading for energy harvesting and load monitoring in total knee replacements

3D printed CNT/TPU triboelectric nanogenerator for load monitoring of total knee replacement

Power Optimization of TENGs via Load Capacitance Sizing

Hybrid triboelectric-piezoelectric nanogenerator for long-term load monitoring in total knee replacements

High Signal‐to‐Noise Ratio Event‐Driven MEMS Motion Sensing

Toward Self-Powered Load Imbalance Detection for Instrumented Knee Implants Using Quadrant Triboelectric Energy Harvesters

Self-powered triboelectric MEMS accelerometer

Event-driven MEMS vibration sensor: Integration of triboelectric nanogenerator and low-frequency switch

Micro-triboelectric generator for zero-power shock detection

Employing Boundary Element Approach With Genetic Algorithm to Increase Travel Range of Repulsive Actuators

Open-loop control of electrostatic levitation actuators to enhance the travel-range of optical switches

Dynamic behavior of T-beam resonator with repulsive actuation

Characterization of a Packaged Triboelectric Harvester Under Simulated Gait Loading for Total Knee Replacement

Self-Powered Load Sensing Circuitry for Total Knee Replacement

A MEMS Pressure Sensor Using Electrostatic Levitation

Autonomous shock sensing using bi-stable triboelectric generators and MEMS electrostatic levitation actuators

Collaborators (3)

Emre Salman

Mahmood Chahari

Benyamin Davaji

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