Roya Maboudian (Advisor)

Research Advised by Professor Roya Maboudian

Maboudian Group:  List of Projects | List of Researchers

BPNX1003: Copolymer-Template Fabrication of Metal Oxides with Tailored Porosity toward High-performance Gas Sensors

YoungJun Kim
HyoJun Min
Tzu-Chiao Wei
Yaprak Ozbakir
Carlo Carraro
2025

Metal oxide semiconductors (MOX) such as SnO2 are widely used in chemiresistive gas sensors due to their high chemical and thermal stability, low cost, and tunable chemical and electronic properties. The introduction of porosity to the MOX structure enhances their gas-sensing properties by increasing the surface area available for interactions with gas molecules. This higher surface area enhances the sensor's sensitivity by providing more active sites for gas adsorption. Also, a faster response/recovery time can be obtained as gas molecules can more quickly interact with a...

BPNX1002: Atomically Dispersed Metals on Graphene Oxide for High-Performance Electrochemical Biosensors

Yaprak Ozbakir
HyoJun Min
2025

Atomically dispersed metal catalysts have garnered considerable attention due to their unique properties and superior catalytic activity. The isolation of metal atoms on the matrix offers enhanced catalytic performance even with a small content of noble metal loading. This class of materials provides exciting opportunities to improve the performance of chemical and biochemical sensors. In this work, we have selected Pd as the catalysts because of its high catalytic activity and graphene oxide as the matrix because of its high electrical conductivity and unique electrochemical properties....

BPNX1001: Enhancing the Humidity Resistance of Chemiresistive Gas Sensors through Surface Functionalization

Tzu Chiao Wei
Yaprak Ozbakir
HyoJun Min
2025

Chemiresistive gas sensors based on semiconductor metal oxides, such as tin dioxide, help to identify and monitor toxic gases and pollution, and play a vital role in industrial and environmental applications. However, the interfering effect of ambient humidity is a major challenge in their reliable operation, as water molecules on the oxide surface can affect the sensitivity and other characteristics of the sensor. To address this challenge, we are modifying the sensor surface by applying thin hydrophobic layers, such as hexamethyldisilazane (HMDS), to achieve ultrahydrophobicity,...

BPN994: Atomically Dispersed Supported Metal Catalysts for Robust Chemiresistive Gas Sensors

Yaprak Ozbakir
2025

Long-term stability of chemiresistive gas sensors is essential for their use in industrial and residential safety and air-quality monitoring systems. Incorporation of noble metals into the gas sensors has been proved to be an effective strategy to enhance their sensitivity and selectivity. However, noble metal particles are prone to poisoning, resulting in catalyst deactivation. Atomically dispersed supported metal catalysts constitute a new class of materials that contains isolated individual atoms or synergistically coupled few-atom ensembles dispersed on, and/or coordinated with...

HyoJun Min

Graduate Student Researcher
Chemical and Biomolecular Engineering
Professor Roya Maboudian (Advisor)
Visiting Scholar 2024

Jiawei Wang

Visiting Scholar Researcher
Chemical and Biomolecular Engineering
Professor Roya Maboudian (Advisor)
Visiting Scholar 2024

Liam McDonough

Undergraduate Researcher
Chemical and Biomolecular Engineering
Professor Roya Maboudian (Advisor)
B.S. 2025 (Anticipated)

BPN978: Hot Car Studies: Preventing Child Vehicular Heatstroke

Anthony Hon
2024

Young children trapped in a car without adult supervision may suffer life-threatening complications such as hyperthermia and heat stroke from extreme temperatures—which may rise to 130 °F in some cases. Our research aims to ascertain child presence within two to three minutes of unsupervised activity by probing increases in the levels of carbon dioxide emitted during human exhalation. Non-dispersive infrared (NDIR) sensors are employed to measure car carbon dioxide concentrations every two seconds. Specific numerical metrics are then derived from the data, and the presence of a child can...

YoungJun Kim

Graduate Student Researcher
Chemical and Biomolecular Engineering
Professor Roya Maboudian (Advisor)
Ph.D. 2025 (Anticipated)

visiting scholar in Chemical and Biomolecular Engineering department, University of California, Berkeley, USA.

PhD candidate in Chemical and Biomolecular Enginnering department, Yonsei University, Seoul, Korea

BS degree was obtained in Chemical and Biomolecular Engineering department, Yonsei University, Seoul, Korea