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

Ms. Preeti Shakya, Malaviya National Institute of Technology Jaipur, India

Preeti Shakya is a dedicated researcher in nanotechnology, currently affiliated with the Materials Research Centre at Malaviya National Institute of Technology (MNIT) Jaipur. She specializes in nanoscale materials and device design, with a particular focus on gas sensor development using MEMS technology and advanced 2D materials. Her research expertise spans synthesis and characterization of nanomaterials such as graphene oxide (GO), reduced graphene oxide (rGO), MoS₂, MoSe₂, WSe₂, and CNT-based composites. Proficient in advanced characterization techniques including FTIR, UV-Vis spectroscopy, BET surface area measurement, FE-SEM, HR-TEM, and XPS, she actively contributes to the development of next-generation sensing devices. Preeti holds a B.Tech in Electronics and Communication Engineering from Rajasthan Technical University, an M.Tech in Nanotechnology from University College of Engineering, RTU Kota, and is pursuing a Ph.D. at MNIT Jaipur. Her research interests extend to gas sensors, supercapacitors, batteries, nanofabrication, and the development of novel intelligent material systems. Passionate about advancing gas sensor technology, she is committed to creating innovative solutions that have a lasting impact on the field.

Professional Profile:

Summary of Suitability for Best Researcher Award

Preeti Shakya demonstrates a strong background in nanotechnology, particularly in the development of gas sensors using MEMS technology and advanced nanomaterials. Her expertise in synthesis, fabrication, and characterization of nanoscale materials, along with her proficiency in advanced research software and instrumentation, makes her a strong contender for the Best Researcher Award.

📚 Education

🎓 Doctor of Philosophy (Ph.D.) – Materials Research Centre, Malaviya National Institute of Technology Jaipur (CGPA: 8.1)

🎓 M.Tech (Nanotechnology) – University College of Engineering, RTU Kota (79%)

🎓 B.Tech (Electronics and Communication Engineering) – Rajasthan Technical University (75.75%)

🏫 All India Senior Secondary School Examination (2011) – R.B.S.E (72.92%)

🏫 All India Secondary School Examination (2009) – C.B.S.E (61.61%)

💼 Work Experience

🔬 Nanotechnology Researcher – Specializing in:

Gas sensor development using MEMS technology

Synthesis of nanomaterials (GO, rGO, MoS₂, MoSe₂, WSe₂, CNT, rGO-CNT composites)

Electronic devices (Gas Sensors, Supercapacitors, Batteries)

Advanced characterization techniques (FTIR, UV-Vis, FE-SEM, HR-TEM, XPS, Raman spectroscopy)

Nanofabrication & research instrumentation development

Publication Top Notes:

Charge storage kinetics of interconnected MnO2 nano-needles/reduced graphene oxide composite for high energy density quasi-solid-state sodium ion asymmetric supercapacitor

Unraveling the Pseudocapacitive Charge Storage Mechanism of NiCo2O4 Nanoflakes for Advanced Quasi Solid-State Hybrid Supercapacitor