Ms. Navneet Gandhi | Gas Sensor Awards | Best Researcher Award

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Ms. Navneet Gandhi | Gas Sensor Awards | Best Researcher Award 

Ms. Navneet Gandhi, IIITDM jabalpur, India

Navneet Gandhi is an aspiring semiconductor researcher currently pursuing a Ph.D. at IIITDM Jabalpur, India, with a strong focus on advanced nanoelectronic devices and sensor technologies. Her doctoral research centers on the simulation, fabrication, and machine learning-aided optimization of junctionless FET-based sensors, emphasizing negative capacitance and strain silicon approaches. With a Master’s degree in Embedded Systems and VLSI Design from SVITS Indore and a Bachelor’s degree in Electronics and Telecommunication Engineering from LNCT Indore, Navneet has built a solid academic foundation. Her research interests span simulation and modeling of NC-FET-based biosensors and gas sensors, the use of AI techniques in semiconductor device analysis, and the exploration of next-generation device architectures such as nanosheets, forksheets, and FerroFETs. Additionally, she is engaged in the fabrication of nanomaterial-based sensors. Navneet combines strong theoretical expertise with hands-on experience, aiming to contribute significantly to the advancement of sensor technology and nanoelectronics.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability: Navneet Gandhi – Best Researcher Award

Navneet Gandhi is a highly promising researcher in the field of semiconductor devices, nanosensors, and machine learning-assisted modeling. With a solid academic background and deep-rooted research expertise, she is making significant contributions to the advancement of next-generation sensor technologies.

📚 Education Background

  • 🎓 Ph.D. (Pursuing) | 2021 – 2024
    Institute: IIITDM Jabalpur, India
    Thesis: Simulation, Fabrication, and Machine Learning-Aided Optimization of Advanced Junctionless FET-Based Sensors With Negative Capacitance and Strain Silicon Approach

  • 🎓 Master of Engineering (M.E.) | 2011 – 2014
    Specialization: Embedded System and VLSI Design
    Institute: SVITS, Indore, India
    Percentage: 79.6%
    Thesis: Design of Voice Morphing System Using FFT

  • 🎓 Bachelor of Engineering (B.E.) | 2006 – 2010
    Specialization: Electronics and Telecommunication Engineering
    Institute: L.N.C.T, Indore, India
    Percentage: 79.78%

  • 🏫 Intermediate (12th) | 2005 – 2006
    Board: Govt. G. H. S. School, Khirkiya (M.P)
    Percentage: 88%
    Subjects: Physics, Chemistry, Mathematics, English, Hindi

  • 🏫 High School (10th) | 2003 – 2004
    Board: Govt. G. H. S. School, Khirkiya (M.P), India

🏆 Achievements, Awards & Honors

✨ Academic Excellence:

  • Consistently performed with distinction in both undergraduate and postgraduate studies (Above 79% in B.E. and M.E.) 🎖️

  • 88% in Intermediate with strong fundamentals in science and mathematics 📐🔬

🌟 Research Contributions (Ph.D. Focus):

  • Advanced research in simulation and fabrication of Negative Capacitance FET-based sensors

  • Integration of Machine Learning and Deep Learning in semiconductor device analysis 🤖📊

  • Exploration of emerging technologies including NC-FETs, Nanosheets, Forksheet, and FerroFETs

🔬 Interdisciplinary Skills:

  • Simulation ⚙️

  • Nanomaterials fabrication 🧪

  • Sensor modeling 📉

  • AI-based device optimization 🧠

Publication Top Notes:

Self-heating and interface traps assisted noise behavior analysis of JL-FinFET H2 gas sensor

Proof of concept: comparative study of machine learning models for optimization and performance evaluation of DM RSD JLNC-FinFET biosensor

Revealing the Reliability Performance of a Dielectric-Modulated Negative Capacitance Junctionless FinFET Biosensor

Junctionless negative capacitance FinFET-based dielectric modulated biosensor with strain silicon integration at different FE thickness

A proof of concept for reliability aware analysis of junctionless negative capacitance FinFET-based hydrogen sensor

Unveiling the Self-Heating and Process Variation Reliability of a Junctionless FinFET-Based Hydrogen Gas Sensor

Demonstration of a Junctionless Negative Capacitance FinFET-based Hydrogen Gas Sensor: A Reliability Perspective

Self-Heating and Interface Traps Assisted Early Aging Revelation and Reliability Analysis of Negative Capacitance FinFET

Prof. Junhao Li | Sensors Design | Best Innovation Award

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Prof. Junhao Li | Sensors Design | Best Innovation Award

Prof. Junhao Li, Xi’an Jiaotong University, China

Junhao Li is a Full Professor at Xi’an Jiaotong University, where he is actively engaged in teaching and research in the field of electrical engineering. His research primarily focuses on two key areas: fault diagnosis of power equipment, including power transformers and gas-insulated switchgear (GIS), and on-site testing for power equipment, particularly impulse testing for GIS and transformers. His work on partial discharge (PD) research explores PD characteristics under various voltage waveforms, employing optical, UHF, and acoustic measurement techniques along with PD pattern recognition. Additionally, his studies on impulse testing address waveform adjustments, distortion effects, equipment protection methods, and insulation breakdown mechanisms in SF₆ gas and oil-paper insulation.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Innovation Award conclusion

Junhao Li is a highly accomplished researcher in the field of electrical engineering, particularly in power equipment fault diagnosis, partial discharge (PD) measurement, and onsite testing for power equipment. His contributions to PD detection techniques, integration of optical and UHF methods, and advancements in impulse testing are innovative and impactful.

Education 🎓:

  • Specific details about Professor Li’s educational background are not provided in the available information.

Work Experience 🏫:

  • Full Professor at Xi’an Jiaotong University: Engaged in teaching and research in electrical engineering, focusing on fault diagnosis of power equipment and on-site testing for power equipment.

Achievements and Honors 🏆:

  • Research Contributions: Specializes in partial discharge research, examining characteristics under various voltage waveforms, and developing measurement and pattern recognition methods.
  • On-Site Testing Innovations: Focuses on on-site impulse testing for GIS and power transformers, including waveform adjustment methods and equipment protection strategies.
  • Professional Recognitions:
    • Fellow of the Institution of Engineering and Technology (IET)
    • Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)
    • Editorial Board Member of the Chinese journal “High Voltage Apparatus”
    • Member of the CIGRE D1 China Committee
    • Member of CIGRE Working Groups D1.66 and B3.50
    • Member of IEC TC 17 / SC 17C AHG41
    • Executive Member of the IEEE PES Smart Grid and New Technology Committee (China)
    • Associate Editor of IEEE Transactions on Dielectrics and Electrical Insulation

Professor Li has published numerous papers in IEEE Transactions focusing on transformers and liquid insulation. He is committed to enhancing the relationship between international electrical insulation publications and China, aiming to expand their influence and contribute to their success.

Publication Top Notes:

Review on partial discharge measurement technology of electrical equipment

CITED:182

Digital detection, grouping and classification of partial discharge signals at DC voltage

CITED:144

A novel GIS partial discharge detection sensor with integrated optical and UHF methods

CITED:143

Partial discharge characteristics over differently aged oil/pressboard interfaces

CITED:85

A novel PD detection technique for use in GIS based on a combination of UHF and optical sensors

CITED:79

Investigation of a comprehensive identification method used in acoustic detection system for GIS

CITED:77

 

 

 

 

 

Dr. Yue Wang | Sensor development Award | Best Researcher Award

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Dr. Yue Wang | Sensor development Award | Best Researcher Award 

Dr. Yue Wang, University of Science and Technology Liaoning, China

Dr. Yue Wang is an Associate Professor at the School of Chemical Engineering at the University of Science and Technology Liaoning in China. He earned his Bachelor’s degree from the University of Science and Technology Anshan and both his Master’s and Doctorate degrees from the University of Science and Technology Liaoning and Saitama Institute of Technology, Japan, respectively. Since joining the University of Science and Technology Liaoning in 2006, Dr. Wang has focused his research on sensors and biosensors, biofuel cells, supercapacitors, energy harvesting, and artificial muscles. His work has resulted in over 60 published scientific papers, garnering approximately 600 citations, reflecting his significant contributions to the field. Dr. Wang has secured multiple research grants from various institutions, including the Education Department of Liaoning Province and the Natural Science Foundation of Liaoning Province, to advance his projects on conductive sensors, pesticide sensors, electrochemical biosensors, and wearable smart sensing technologies. Additionally, he completed a visiting scholarship at the University of Texas at Dallas in 2019-2020, further enhancing his academic and research expertise.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Yue Wang

Yue Wang is an exemplary candidate for the Best Researcher Award, primarily due to his substantial academic qualifications, extensive research contributions, and impactful work in the field of Material Science, specifically within sensor and biosensor technologies.

Education

  • Bachelor’s Degree in Material Science
    University of Science and Technology Anshan, China
    September 1998 – July 2002
  • Master’s Degree in Material Science
    University of Science and Technology Liaoning, China
    September 2003 – March 2006
  • Ph.D. in Material Science
    Saitama Institute of Technology, Japan
    April 2008 – March 2011

Work Experience

  • Associate Professor
    University of Science and Technology Liaoning, China
    April 2006 – Present
  • Visiting Scholar
    University of Texas at Dallas
    April 2019 – March 2020

Publication top Notes:

A carbon black–doped chalcopyrite–based electrochemical sensor for determination of hydrogen peroxide

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Crab gill–derived nanorod-like carbons as bifunctional electrochemical sensors for detection of hydrogen peroxide and glucose

Cellulose-derived hierarchical porous carbon based electrochemical sensor for simultaneous detection of catechol and hydroquinone

A triphenylamine based fluorescent probe for Zn2+ detection and its applicability in live cell imaging

1,8-naphthalimide-triphenylamine-based red-emitting fluorescence probes for the detection of hydrazine in real water samples and applications in bioimaging in vivo