Prof. Runu Banerjee Roy | Nanosensors Awards | Best Researcher Award

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Prof. Runu Banerjee Roy | Nanosensors Awards | Best Researcher Award

Prof. Runu Banerjee Roy | Nanosensors Awards | Best Researcher Award

Dr. Runu Banerjee Roy is a Professor in the Department of Instrumentation and Electronics Engineering at Jadavpur University, India, where she has been teaching since 2005. Her research focuses on electronic olfaction and taste sensing, sensor development, and artificial intelligence. With over 50 international journal papers, 40 conference papers, and 5 book chapters, Dr. Roy has made significant contributions to her field. She holds two granted patents and has completed several sponsored projects from SERB-DST, DSTBT, RUSA, and TEQIP. Recognized for her outstanding research, she received the InRes C V Raman Prize in 2023 and was awarded a DST young scientist project in 2010. Dr. Roy earned her B.Sc., BTech, and MTech from the University of Calcutta and her Ph.D. from Jadavpur University in 2015.

Professional Profile:

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šŸŽ“Education:

Dr. Runu Banerjee Roy completed her B.Sc. in Physics Honours from the University of Calcutta in 1996. She pursued her B.Tech. and M.Tech. degrees in Instrumentation Engineering, also at the University of Calcutta, graduating in 1999 and 2001, respectively. She earned her Ph.D. in Engineering from Jadavpur University in 2015.

šŸ¢Work Experience:

Dr. Runu Banerjee Roy has been serving as a Professor in the Department of Instrumentation and Electronics Engineering at Jadavpur University, Kolkata, India, since 2017. Prior to this role, she was an Assistant Professor in the same department from 2005 to 2017. Her academic career began as a Lecturer in the Department of Electronics and Instrumentation Engineering at the College of Engineering and Management, Kolaghat, India, where she taught from 2001 to 2005.

šŸ†Awards and Recognitions:

Dr. Runu Banerjee Roy was honored with the InRes C V Raman Prize in 2023 by the Institute of Researchers, India, recognizing her outstanding research and academic achievements. In 2010, she was awarded the DST Young Scientist Project. She also received sponsorship from RUSA for a trip to Japan, where she presented two papers at the ISOEN conference in 2019. Dr. Roy is currently serving as the Principal Investigator (PI) on projects funded by SERB-DST, India, and CSIR, India.

Publication Top Notes:

  • Title: Instrumental testing of tea by combining the responses of electronic nose and tongue
    Cited by: 162
  • Title: Black tea classification employing feature fusion of E-Nose and E-Tongue responses
    Cited by: 104
  • Title: A review on combined odor and taste sensor systems
    Cited by: 98
  • Title: Artificial flavor perception of black tea using fusion of electronic nose and tongue response: A Bayesian statistical approach
    Cited by: 70
  • Title: A simple nano cerium oxide modified graphite electrode for electrochemical detection of formaldehyde in mushroom
    Cited by: 34

 

 

Prof. yanlong tai | Nanosensors Awards | Best Researcher Award

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Prof. yanlong tai | Nanosensors Awards | Best Researcher Award

Prof. yanlong tai , shenzhen institute of Science and technology, China

Prof. Dr. Yanlong Tai is a distinguished researcher and professor at the Shenzhen Institutes of Advanced Technology (SIAT), CAS, China, where he leads the Smart-Sensing-Lab. He also serves as the head of the SIAT-Fudan University (Zhuhai) Joint Innovation Center and is a joint professor at the University of Science & Technology Shenzhen. He earned his PhD in Material Physics and Chemistry from Fudan University in 2012 and has held various research positions globally, including at OHM University in Germany, Masdar Institute in UAE, KAUST in Saudi Arabia, Fraunhofer ENAS in Germany, and UC Davis in the USA. His research focuses on the design and synthesis of smart materials and flexible perceptual devices for applications such as energy harvesting and interactive electronics. Prof. Tai has published extensively in high-impact journals and holds numerous patents. He has secured significant research funding from national and international bodies and is actively involved in academic and professional societies, contributing as a reviewer and editorial board member for several prestigious journals.

Professional Profile:

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šŸŽ“Education:

Prof. Dr. Yanlong Tai received his PhD in Material Physics and Chemistry from Fudan University, China, between 2009 and 2012. During his doctoral studies, he also spent time as a visiting student at OHM University in Germany in 2011, focusing on electronic materials. Prior to this, he completed his Bachelor’s and Master’s degrees in Polymer Materials at Anhui University, China, from 2001 to 2008.

šŸ‘Øā€šŸ«Professional Experience:

Prof. Dr. Yanlong Tai has been a Professor at the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), China, since 2019. Before this, he worked as a Research Scientist at the Masdar Institute in the United Arab Emirates from 2017 to 2019. He also held several postdoctoral research positions, including at the King Abdullah University of Science and Technology (KAUST)

Publication Top Notes:

  1. Study of surface modification of nano-SiO2 with macromolecular coupling agent (LMPB-g-MAH)
    Y Tai, J Qian, Y Zhang, J Huang
    Chemical Engineering Journal, 2008, cited by 145
  2. A highly sensitive, low-cost, wearable pressure sensor based on conductive hydrogel spheres
    Y Tai, M Mulle, IA Ventura, G Lubineau
    Nanoscale, 2015, cited by 143
  3. Fabrication of paper-based conductive patterns for flexible electronics by direct-writing
    YL Tai, ZG Yang
    Journal of Materials Chemistry, 2011, cited by 135
  4. Preparation, characterization and reaction mechanism of a novel silver-organic conductive ink
    Y Chang, DY Wang, YL Tai, ZG Yang
    Journal of Materials Chemistry, 2012, cited by 90
  5. Double-Twisted Conductive Smart Threads Comprising a Homogeneously and a Gradient-Coated Thread for Multidimensional Flexible Pressure-Sensing Devices
    Y Tai, G Lubineau
    Advanced Functional Materials, 2016, cited by 74

 

 

Dr. Ana FernƔndez | Nanosensors Awards | Women Researcher Award

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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:

Orcid

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