Shahzad Ahmed | Sensors | Research Excellence Award

Published on by Metallurgical Engineering

Research Excellence Award

Shahzad Ahmed
Indian Institute of Technology Jodhpur, India

Shahzad Ahmed
Affiliation Indian Institute of Technology Jodhpur
Country India
Scopus ID 57349086600
Documents 42
Citations 1,112
h-index 20
Subject Area Sensors
Event Metallurgical Engineering Awards
ORCID 0000-0002-5121-4506

Shahzad Ahmed is an Indian materials scientist whose research primarily focuses on nanostructured materials, electrochemical sensing technologies, two-dimensional materials, conducting polymers, and hybrid biosensor platforms. His scholarly work spans food quality assessment, biomedical sensing, energy storage materials, optoelectronic devices, and advanced functional nanomaterials. With extensive publications, international collaborations, patent activity, and interdisciplinary research experience, he has established a significant academic profile in materials engineering and sensor science.[1]

Abstract

Shahzad Ahmed’s research integrates nanotechnology, electrochemistry, semiconductor engineering, and advanced functional materials to develop innovative sensing platforms for healthcare, environmental monitoring, and food quality evaluation. His work encompasses borophene, graphene, MoS₂, MXenes, conducting polymers, molecularly imprinted polymers, porous silicon, and hybrid nanocomposites. Through collaborations across India, Taiwan, China, and the United States, he has contributed extensively to the advancement of electrochemical biosensors and nanostructured materials.[2]

Keywords

Nanotechnology, Electrochemical Sensors, Biosensors, Borophene, Graphene, Two-Dimensional Materials, Conducting Polymers, Molecularly Imprinted Polymers, Food Quality Monitoring, Health Diagnostics, Materials Engineering, Nanostructured Materials.

Introduction

Shahzad Ahmed completed his doctoral research at the Indian Institute of Technology Jodhpur under the Prime Minister’s Research Fellowship (PMRF). His academic journey includes research appointments at National Yang Ming Chiao Tung University, Taiwan, and The State University of New York at Buffalo, USA. His interdisciplinary expertise combines materials engineering, electrochemistry, nanofabrication, thin-film technologies, biosensor development, and advanced characterization techniques.[3]

Research Profile

His research interests include electrochemical sensing, nanomaterial synthesis, biosensor fabrication, photodetectors, conducting polymers, carbon quantum dots, graphene, borophene, MoS₂, MXenes, porous silicon, and advanced semiconductor materials. He possesses hands-on expertise in photolithography, CVD, PVD, SEM, Raman spectroscopy, FTIR, UV-Visible spectroscopy, electrochemical impedance spectroscopy, cyclic voltammetry, and thin-film fabrication.

Research Contributions

  • Development of borophene-based electrochemical sensing platforms.
  • Electronic tongue technologies for food quality monitoring.
  • Hybrid conducting polymer sensor architectures.
  • Nanocomposite materials for UV photodetection.
  • Molecularly imprinted polymer biosensors.
  • Nanostructured materials for supercapacitors and energy storage.
  • Advanced materials for photocatalysis and hydrogen evolution research.
  • Patent contribution involving borophene tube technologies.

Publications

Shahzad Ahmed has authored more than 40 indexed research publications across internationally recognized journals including Biosensors and Bioelectronics, Advanced Science, Small, Langmuir, Coordination Chemistry Reviews, Analyst, ACS Applied Polymer Materials, ACS Applied Nano Materials, Journal of Materials Science, Analysis & Sensing, and numerous conference proceedings and book chapters. His publications span electrochemical sensing, nanomaterials, energy storage, photocatalysis, and optoelectronic devices.[4]

Research Impact

His research profile includes over one thousand citations, an h-index of 20, international collaborations, invited presentations, reviewer service for more than twenty scientific journals, one U.S. provisional patent, PMRF fellowship recognition, and sustained contributions to materials science and sensor engineering. These indicators demonstrate consistent scholarly productivity and broad engagement with the international research community.[5]

Award Suitability

Shahzad Ahmed demonstrates a research profile aligned with the objectives of the Research Excellence Award through sustained publication output, interdisciplinary collaboration, innovative sensor development, patent activity, mentoring experience, international research exposure, and measurable scientific impact. His contributions toward nanostructured materials, electrochemical sensing, biosensor engineering, and advanced materials research represent significant developments within contemporary materials engineering.

Conclusion

Shahzad Ahmed reflects extensive engagement in advanced materials engineering, electrochemical sensor development, nanotechnology, and interdisciplinary scientific research. His achievements across publications, research collaborations, technology development, teaching, and scholarly service collectively illustrate a strong and evolving contribution to the international materials science community.

References

  1. Elsevier. (n.d.). Scopus Auth or Details: Shahzad Ahmed, Author ID 57349086600.
    https://www.scopus.com/authid/detail.uri?authorId=57349086600
  2. Shahzad Ahmed., et al. (2018). Direct CVD growth of graphene on technologically important dielectric and semiconducting substrates.
    https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/advs.201800050
  3. Shahzad Ahmed., et al. (2023). Nanostructured material‐based optical and electrochemical detection of amoxicillin antibiotic.
    https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/bio.4408
  4. Shahzad Ahmed., et al. (2022). Self-healable and anti-freezing ion conducting hydrogel-based artificial bioelectronic tongue sensing toward astringent and bitter tastes.
    https://doi.org/10.1016/j.bios.2021.113811
  5. Shahzad Ahmed., et al. (2022). Iron oxide nanoparticle-based ferro-nanofluids for advanced technological applications.
    https://www.mdpi.com/1420-3049/27/22/7931

Tai Firen | Flexible Sensor | Breakthrough Research Award

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Mr. Tai Firen | Flexible Sensor | Breakthrough Research Award

Shenzhen Institutes of Advanced Technology | China

Mr. Tai Firen is a strong candidate for the Breakthrough Research Award due to his innovative research in flexible electronics, bio-integrated microsystems, and advanced health monitoring technologies. His work addresses critical challenges in reliability, sensing, and imaging at the interface of materials science, micro/nanoengineering, and biomedical applications. He has made significant interdisciplinary contributions with high translational value, advancing next-generation electronic systems for healthcare and smart technologies. His research output includes 64 Scopus-indexed publications, achieving 1,397 citations and an h-index of 21, reflecting substantial global impact and scholarly recognition.

Citation Metrics

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Citations
1397

Documents
64

h-index
21

Featured Publications

Yue Zhang | Remote Sensing Technology | Research Excellence Award

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Dr. Yue Zhang | Remote Sensing Technology | Research Excellence Award

Postdoctoral Fellow at Regional Centre for Space Science and Technology Education in Asia and the Pacific(China) | China

Dr. Yue Zhang is a rapidly emerging researcher whose work spans machine learning, remote sensing, hydrological forecasting, and environmental monitoring systems, producing a research portfolio with 168 citations, an h-index of 7, and 6 i10-index publications that reflect consistent and meaningful scientific impact. His research focuses on developing advanced hybrid deep-learning architectures-including LSTM, GRU, ConvLSTM, CNN-LSTM, STA-GRU, and physics-informed transformer networks-to improve the reliability and interpretability of streamflow, flood, water-level, and dissolved-oxygen forecasting, using multistation real-time datasets and temporal–spatial data linkages for enhanced predictive accuracy. He has significantly contributed to remote sensing applications by integrating GNSS-R signals, spatiotemporal attention models, and soft physical constraints to advance marine foreign-object monitoring, wind-speed retrieval, and seawater-intrusion early-warning systems. His work further includes innovations in GIS-enabled environmental intelligence platforms, real-time disturbance-response modelling, and image-level early-warning mechanisms for complex marine scenarios. His publication record spans reputable journals such as Water, Intelligence and Robotics, and Remote Sensing, covering topics including intelligent flood forecasting, lake water-quality management, deep-learning approaches for environmental and agricultural monitoring, and hybrid modelling methods for large-scale hydrological systems. Through interdisciplinary collaboration, contributions to international research initiatives, and development of system-integrated monitoring frameworks, Yue Zhang continuously advances the state of the art in environmental data science, demonstrating clear leadership potential and strong alignment with the goals of high-impact research recognition.

Profile : Google Scholar

Featured Publications

Deng, Y., Zhang, Y., Pan, D., Yang, S. X., & Gharabaghi, B. (2024). Review of recent advances in remote sensing and machine learning methods for lake water quality management. Remote Sensing, 16(22), 4196. Cited by: 53

Zhang, Y., Zhou, Z., Van Griensven Thé, J., Yang, S. X., & Gharabaghi, B. (2023). Flood forecasting using hybrid LSTM and GRU models with lag time preprocessing. Water, 15(22), 3982. Cited by: 36

Zhang, Y., Gu, Z., Van Griensven Thé, J., Yang, S. X., & Gharabaghi, B. (2022). The discharge forecasting of multiple monitoring stations for Humber River by hybrid LSTM models. Water, 14(11), 1794. Cited by: 36

Zhou, Z., Zhang, Y., Gu, Z., & Yang, S. X. (2023). Deep learning approaches for object recognition in plant diseases: A review. Intelligence and Robotics, 3(4), 514–537. Cited by: 12

Zhang, Y., Pan, D., Van Griensven Thé, J., Yang, S. X., & Gharabaghi, B. (2023). Intelligent flood forecasting and warning: A survey. Intelligence and Robotics, 3(2), 190–212. Cited by: 12

 

Tangoh Fon | Sensing | Best Researcher Award

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Tangoh Fon | Sensing | Best Researcher Award

Kyungpook National University | South Korea

Mr. Tangoh Fon is a master’s student at Kyungpook National University in the Department of Convergence and Fusion System Engineering, specializing in energy system modeling, nanomaterial synthesis, and applications in environmental monitoring. His research focuses on volatile organic compound (VOC) gas sensing using zinc oxide (ZnO) nanorods, aiming to advance early pollution detection and smart transport emission monitoring. He possesses strong quantitative skills in clean energy modeling, data analysis, and climate variability assessment, with proficiency in software such as HOMER Pro, OriginPro, Python, Excel, Power BI, and QGIS. Anthony has co-authored multiple peer-reviewed publications in international journals, including “The Future of Clean Energy: Agricultural Residues as a Bioethanol Source” in Renewable Energy, “Extreme Precipitation & ENSO in Kathmandu Valley” in Water, and “ZnO Nanorods/Graphene/CNT Nanocomposite Gas Sensors for Enhanced VOC Gas Response and Selectivity” in Materials Science & Engineering B, where he served as the first author. He is an affiliate member of leading environmental science organizations and actively participates in open-access data-sharing platforms and sustainability initiatives. Fluent in English and professionally proficient in French, he combines technical expertise with policy-relevant analytical skills to contribute to energy and environmental research. As of now, his Scopus profile reflects 2 publications, 4 citations, and an h-index of 1, highlighting his emerging impact in renewable energy, environmental sensing, and nanomaterials research, positioning him as a promising contributor to global climate and energy solutions.

Profile: Scopus | ORCID | Google Scholar

Feautured Publications

Same, N. N., Yakub, A. O., Chaulagain, D., Tangoh, A. F., Nsafon, B. E. K., …. (2024). The future of clean energy: Agricultural residues as a bioethanol source and its ecological impacts in Africa. Renewable Energy, 237, 121612.

Tangoh, A. F., Park, J., Same, N. N., Yakub, A. O., Chaulagain, D., Roh, J. W., Suh, D., … (2026). ZnO nanorods/Graphene/CNT nanocomposite gas sensors for enhanced VOC gas response and selectivity: Selective analysis of formaldehyde and ethanol. Materials Science and Engineering: B, 323, 118783.