Assoc. Prof. Dr. Wenjun Yan | Nanosensors Awards | Best Researcher Award

Assoc. Prof. Dr. Wenjun Yan | Nanosensors Awards | Best Researcher Award

Assoc. Prof. Dr. Wenjun Yan , Hangzhou Dianzi University , China

Dr. Wenjun Yan is currently serving as an Associate Professor at Hangzhou Dianzi University. She completed her Ph.D. in Microelectronics and Solid-State Electronics at Tianjin University in 2017. Following her doctoral studies, Dr. Yan embarked on her academic career at Hangzhou Dianzi University, where she has contributed significantly to the field of semiconductor gas sensors. Her research interests extend to the development of artificial intelligent olfactory sensor systems and their practical applications. Prior to her current role, she enriched her expertise as a postdoctoral fellow at Zhejiang University, further enhancing her contributions to sensor technology and its innovative applications.

Professional Profile:

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šŸŽ“Education:

Dr. Wenjun Yan completed her Ph.D. in Microelectronics and Solid-State Electronics at Tianjin University in 2017. Following her doctoral studies, she joined Hangzhou Dianzi University as an Associate Professor, where she has made substantial contributions to the field of semiconductor gas sensors. Her research is particularly focused on advancing artificial intelligent olfactory sensor systems and exploring their practical applications.

šŸ†Awards And Honors:

Prior to her current position, Dr. Yan gained valuable experience as a postdoctoral fellow at Zhejiang University, where she further honed her expertise in sensor technology. Her innovative work has garnered recognition in the form of awards and acknowledgments within the academic and scientific community.

Publication Top Notes:

  • Title: Artificial olfactory sensor based on single metal atom oxide for intelligent nanoelectronics
    • Journal: Applied Surface Science
  • Title: Thermal Modulation of Resistance Gas Sensor Facilitates Recognition of Fragrance Odors
    • Journal: Chemosensors
  • Title: High performance H2 sensors based on NiO-SnO2 nanosheets in temperature-pulsed operation mode
    • Journal: Smart Materials and Structures
  • Title: Low Concentration CO Gas Sensor Based on Pulsed-Heating and Wafer-Level Fabricated MEMS Hotplate
    • Journal: IEEE Electron Device Letters
  • Title: Highly Selective MEMS Gas Sensor to Detect H2 and NH3 With Tunable Discrimination
    • Journal: IEEE Sensors Journal

 

 

 

Dr. Ana FernƔndez | Nanosensors Awards | Women Researcher Award

Dr. Ana FernƔndez | Nanosensors Awards | Women Researcher Award

Dr. Ana FernƔndez ,Polytechnic University of Valencia, Spain

Dr. Ana FernĆ”ndez Blanco is an accomplished biotechnologist and research scientist with over seven years of experience specializing in pathogen detection, microbial biotechnology, and product development. She holds a PhD in Biotechnology, Food and Environmental Microbiology from the Polytechnic University of Valencia, a Master’s in Molecular and Cellular Biology from the University of Zaragoza, and a Biology degree with a specialization in Microbiology from the University of Valencia. Currently serving as a Senior Researcher at LUMENSIA SENSORS, Dr. Blanco leads R&D projects in biotechnological detection systems, including the development and validation of innovative pathogen detection methods using biosensors and microfluidic systems. Her research has contributed significantly to the field, with notable publications on photonic biosensors and molecular biology techniques. Dr. Blanco is proficient in English and Spanish and has extensive training in R&D management and ISO, GMP, and FDA compliance standards.

Professional Profile:

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Publication Top Notes:

Specific and Simultaneous Detection of E. coli O157:H7 and Shiga-like Toxins Using a Label-Free Photonic Immunosensor – Photonics, 2024-04-16, DOI: 10.3390/photonics11040374

A Photonic Label-Free Biosensor to Detect Salmonella spp. in Fresh Vegetables and Meat – Applied Sciences, 2023-12-08, DOI: 10.3390/app132413103

Development of Photonic Multi-Sensing Systems Based on Molecular Gates Biorecognition and Plasmonic Sensors: The PHOTONGATE Project – Sensors, 2023-10, DOI: 10.3390/s23208548

Development of Photonic Multi-Sensing Systems Based on Molecular Gates Biorecognition and Plasmonic Sensors: The PHOTONGATE Project – 2023-10-23 (No DOI provided, link unavailable)

Development of Optical Label-Free Biosensor Method in Detection of Listeria monocytogenes from Food – Sensors, 2023-06, DOI: 10.3390/s23125570