Jaydevsinh Zala | Engineering | Best Researcher Award

Best Researcher Award

Jaydevsinh Zala
Parul University, India

Jaydevsinh Zala
Affiliation Parul University
Country India
Documents 2
Subject Area Engineering
Event International Popular Scientist Awards
ORCID 0009-0009-9225-7789

Jaydevsinh Zala is an engineering researcher affiliated with Parul University in India. The research record supplied for this academic recognition profile comprises two documented works addressing applied engineering and technology-oriented problems, including an artificial-intelligence-based smart-city hygiene enforcement system and an electronics prototyping workstation. The available record indicates an interdisciplinary interest in artificial intelligence, computer vision, facial recognition, electronics, and practical technology development. [1] [2]

Abstract

This academic recognition profile examines the research activities of Jaydevsinh Zala in the field of Engineering. The supplied record contains two works. The first, AI-Integrated Spitting Detection System for Smart City Hygiene Enforcement Using YOLOv11 and Facial Recognition, describes an artificial intelligence-oriented approach to smart-city hygiene enforcement using computer vision and facial recognition technologies. The work is identified as unpublished and dated 2 August 2026, with a DOI registered through ResearchGate. [1] The second work, AI Integrated Electronics Prototyping Workstation, is identified as a journal article dated 20 April 2025 and is attributed to Jaydevsinh Zala. [2]

Keywords

Jaydevsinh Zala; Engineering; Artificial Intelligence; Computer Vision; YOLOv11; Facial Recognition; Smart City Technology; Hygiene Enforcement; Electronics Prototyping; Research Innovation.

Introduction

Engineering research increasingly combines computational intelligence with physical and digital systems to address practical problems. Artificial intelligence and computer vision can support automated interpretation of visual information, while electronics prototyping environments can facilitate the development and testing of technology systems. Zala’s available research record reflects these two complementary areas, with one work focused on AI-enabled smart-city hygiene enforcement and another concerned with an integrated electronics prototyping workstation. [1] [2]

Research Profile

Jaydevsinh Zala is affiliated with Parul University and works within the broad subject area of Engineering. The supplied publication record contains two documents. One research work applies YOLOv11 and facial recognition to a proposed smart-city hygiene enforcement application, while the other concerns an AI-integrated electronics prototyping workstation. [1] [2]

Research Contributions

The documented works indicate contributions in two principal areas:

  • Application of artificial intelligence and computer vision to a proposed smart-city hygiene enforcement scenario, incorporating YOLOv11 and facial recognition technologies. [1]
  • Development-oriented work concerning an AI-integrated electronics prototyping workstation, reflecting an interest in engineering experimentation and technology prototyping. [2]

Publications

The first work identifies a specific DOI and combines machine-learning-based object detection with facial recognition for a smart-city application. [1] The second listed work addresses electronics prototyping through an AI-integrated workstation concept. [2]

Research Impact

The available information does not provide verified citation counts, h-index data, downloads, or independent measures of research influence. Therefore, quantitative scholarly impact cannot be established from the supplied record alone. The documented topics nevertheless address practical engineering applications, particularly the use of artificial intelligence and computer vision in smart-city environments and the integration of AI into electronics prototyping. [1] [2]

Award Suitability

The documented research topics are relevant to an engineering-focused academic recognition profile because they involve applied artificial intelligence, computer vision, smart-city technology, and electronics prototyping. The first work addresses an application involving automated detection and recognition, while the second focuses on an engineering workstation for electronics prototyping. [1] [2]

Conclusion

Jaydevsinh Zala’s supplied research record represents an engineering-oriented portfolio involving artificial intelligence, computer vision, smart-city applications, and electronics prototyping. Two documented works form the basis of this profile, including a 2026 work on YOLOv11 and facial recognition for smart-city hygiene enforcement and a 2025 work on an AI-integrated electronics prototyping workstation. [1] [2] Further bibliometric and independent research evidence would be required for a more comprehensive assessment of scholarly impact.

References

  1. Zala, J. (2026). AI-Integrated Spitting Detection System for Smart City Hygiene Enforcement Using YOLOv11 and Facial Recognition. Unpublished journal article.
    https://doi.org/10.13140/RG.2.2.32954.35528
  2. Zala, J. (2025). AI Integrated Electronics Prototyping Workstation. Journal article. Research record supplied for academic recognition profile.
  3. ORCID. (n.d.). ORCID record for Jaydevsinh Zala.
    https://orcid.org/0009-0009-9225-7789
  4. International Popular Scientist Awards. (n.d.). Award Website.
    https://popularscientist.com/

H M Arifur Rahman | Engineering | Best Researcher Award

Mr. H M Arifur Rahman | Engineering | Best Researcher Award

Graduate Research Assistant University Of Nebraska-Lincoln United States

H.M. Arifur Rahman is a dedicated researcher specializing in advanced antenna design for modern communication systems. With a strong academic and professional background, he is currently pursuing his Ph.D. in Electrical and Computer Engineering at the University of Nebraska-Lincoln, USA. His contributions span innovative designs in wireless technologies and body-centric communication systems, earning recognition through impactful publications and research initiatives.

Profile

Google Scholar

Education 🎓

  • Doctor of Philosophy (Ph.D.) (Ongoing) – Electrical and Computer Engineering, University of Nebraska-Lincoln (2024–Present).
  • Master of Science (M.S.) – Electrical and Electronic Engineering, North South University, Bangladesh (2018). Thesis: Design and Analysis of a Compact Band Notch UWB Antenna for Body Area Network.
  • Bachelor of Science (B.S.) – Electrical and Electronic Engineering, American International University-Bangladesh (2016). Project: Design and Implementation of a Wall Climbing Robot.

Experience 🏢

  • Graduate Research Assistant (2024–Present), University of Nebraska-Lincoln. Focus: Advanced antenna and multiplexer designs.
  • Research Assistant (2021–2024), North South University. Projects on mmWave and THz antennas for healthcare and 5G communications.
  • Lab Officer (Part-Time) (2023–2024), North South University.
  • Physics & Mathematics Teacher (2019–2021), Radium School and College.
  • Technical Support Engineer (2017–2018), Banglalion Communications Ltd.

Research Interests 🔬

H.M. Arifur Rahman’s research interests include:

  • Miniaturized antenna design for UWB, 5G, mmWave, and THz frequencies.
  • MIMO and array structures for radar systems and wireless power transfer.
  • Body-Centric Wireless Communication (BCWC) and Wireless Body Area Networks (WBAN).
  • Internet of Things (IoT) and robotics applications.

Awards & Recognitions 🏆

  • Nominee for various innovation awards for his pioneering research on antenna systems.
  • Consistently recognized for excellence in academic and research endeavors.

Publications Top Notes: 📚

Novel Compact Design and Investigation of a Super Wideband Millimeter Wave Antenna for Body‐Centric Communications

Design and study of a miniaturized millimeter wave array antenna for wireless body area network

Dual‐Band Self‐Complementary 5G Antenna for Wireless Body Area Network

Design and Analysis of a 5G Wideband Antenna for Wireless Body‐Centric Network

Design and analysis of a compact band notch UWB antenna for body area network

Conformal Design of a 60 GHz Textile Based Self-Complementary Antenna for Wireless Body Area Network

A UWB Antenna for Wireless Body Area Network and its Characteristics Analysis