Shahab Naghdi | Gas Sensors | Best Researcher Award

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Dr. Shahab Naghdi | Gas Sensors | Best Researcher Award

Dr. Shahab Naghdi | Gas Sensors | Postdoc researcher at Tarbiat Modares University | Iran

Dr. Shahab Naghdi is a postdoctoral researcher at Tarbiat Modares University with a specialized focus on seafood processing, bio-waste refinery, and intelligent packaging. With a solid academic foundation, Dr. Shahab Naghdi earned his Ph.D. in Seafood Processing from Tarbiat Modares University, where his doctoral research explored the extraction and application of sulfated polysaccharides and protein hydrolysates from marine by-products. His research journey has been marked by a strong emphasis on sustainable technologies and marine biotechnology, placing him at the forefront of efforts to utilize underexploited aquatic resources through eco-friendly techniques. Professionally, Dr. Shahab Naghdi has collaborated extensively with international scholars from countries including Sweden, Spain, and Indonesia, and has co-authored numerous high-impact research papers. reflecting his growing influence in the fields of food bioprocessing and marine-derived biomaterials. Dr. Shahab Naghdi’s h-index of 9 and i10-index of 8 highlight the scientific depth and consistency of his research outputs. His areas of interest include bioactive compound extraction, intelligent color-changing nanosensors, fish protein hydrolysates, and the development of biopolymer-based films for food preservation. Dr. Shahab Naghdi is skilled in ultrasonic-assisted extraction, enzymatic hydrolysis, pH-sensing technology, and analytical techniques used in evaluating antioxidant and antimicrobial properties. He has successfully applied these techniques to create sustainable solutions for food packaging and marine waste utilization, contributing both scientific innovation and environmental benefit.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications:

  1. A starch-based pH-sensing and ammonia detector film containing betacyanin of paperflower for application in intelligent packaging of fish (2021) – 137 Citations

  2. Ultrasonic-assisted enzymatic extraction of sulfated polysaccharide from Skipjack tuna by-products (2023) – 24 Citations

  3. Parallel extraction of sulfated polysaccharides and protein hydrolysate from skipjack tuna head and their bioactive and functional properties (2023) – 21 Citations

  4. Fish Protein Hydrolysate from Sulfated Polysaccharides Extraction Residue of Tuna Processing By‐Products with Bioactive and Functional Properties (2023) – 19 Citations

 

 

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. Fang-Hsing Wang | Gas Sensor | Best Researcher Award

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Prof. Fang-Hsing Wang | Gas Sensor | Best Researcher Award 

Prof. Fang-Hsing Wang, National Chung Hsing University, Taiwan

Dr. Fang-Hsing Wang is a distinguished scholar in the field of optoelectronics and electrical engineering, currently serving as the Director of the Graduate Institute of Optoelectronics at National Chung Hsing University. He has been a Professor in the Department of Electrical Engineering and Graduate Institute of Optoelectronics at the same institution since February 2017, following a successful tenure as an Associate Professor and Assistant Professor. Dr. Wang earned his Ph.D. in Electronic Engineering from National Chiao Tung University in 1997. His research focuses on photodetectors, nanosensors, transparent conducting films, TFT-LCD process technology, and circuit design. With 115 published papers to his name, Dr. Wang has made significant contributions to his field. His research excellence has been recognized with notable awards, including the TACT International Conference Poster Paper Award in 2011 and the National Chung Hsing University Engineering Journal Best Paper Award in 2015. As an IEEE member, Dr. Wang continues to advance the boundaries of optoelectronics and related technologies.

Professional Profile:

SCOPUS

 

Suitability for Best Researcher Award

This individual exhibits a high level of expertise and achievement in their field, with an impressive record of publications and awards. Their ongoing contributions to research, particularly in areas like nanosensors and photodetectors, along with their leadership roles, make them a strong candidate for the Best Researcher Award.

Education:

  • Ph.D. in Electronic Engineering
    National Chiao Tung University, Taiwan, 1997

Work Experience:

  • Director, Graduate Institute of Optoelectronics
    National Chung Hsing University, Aug. 2023 – Present
  • Professor, Department of Electrical Engineering & Graduate Institute of Optoelectronics
    National Chung Hsing University, Feb. 2017 – Present
  • Associate Professor, Department of Electrical Engineering & Graduate Institute of Optoelectronics
    National Chung Hsing University, Aug. 2011 – Jan. 2017
  • Assistant Professor, Department of Electrical Engineering
    National Chung Hsing University, Aug. 2003 – July 2011

Publication top Notes:

Using a protrusion sapphire substrate to synthesize ZnO nanoflower arrays and application of Cu decorated ZnO nanoflower arrays as a H2 and CO gas sensor

Fabrications of the Flexible Non-Enzymatic Glucose Sensors Using Au-CuO-rGO and Au-CuO-rGO-MWCNTs Nanocomposites as Carriers

Synthesis of ZnO Nanoflower Arrays on a Protrusion Sapphire Substrate and Application of Al-Decorated ZnO Nanoflower Matrix in Gas Sensors

Synthesis of ZnO Nanoflower Arrays on Patterned Cavity Substrate and Their Application in Methylene Blue Degradation

Nd dopant effect on structural properties of BiFeO3 thin films and application in a negative capacitance transistor