Akash Paul | Engineering | Innovative Research Award

Innovative Research Award

Akash Paul
National Institute of Technology
Akash Paul
Affiliation National Institute of Technology
Country India
Scopus ID 59439149100
Documents 14
Citations 20
h-index 3
Subject Area Engineering
Event World Science Awards
Google Scholar HjWN_-IAAAAJ

The Innovative Research Award recognizes researchers who demonstrate originality, scientific rigor, and meaningful contributions to engineering research. Akash Paul of the National Institute of Technology has developed a scholarly profile through peer-reviewed publications and participation in engineering research. The available bibliometric indicators reflect continued academic engagement and contributions to scientific knowledge through internationally indexed publications.[1]

Abstract

Akash Paul is an engineering researcher affiliated with the National Institute of Technology, India. His research activities have resulted in indexed scientific publications that contribute to engineering scholarship. The available Scopus metrics indicate 14 indexed documents, 20 citations, and an h-index of 3, reflecting an emerging research profile with measurable scholarly visibility. Recognition through an innovation-focused award acknowledges originality, scientific contribution, and continued engagement in engineering research.[1][2]

Keywords

  • Engineering Research
  • Innovation
  • Scientific Publications
  • Applied Engineering
  • Technology Development
  • Research Impact
  • Scopus Author
  • World Science Awards

Introduction

Engineering research promotes technological advancement through the development of innovative methods, systems, materials, and applications. Researchers contribute by addressing practical challenges with scientific approaches and disseminating their findings through peer-reviewed publications. Academic innovation supports industrial progress, sustainable development, and interdisciplinary collaboration across multiple engineering domains.[3]

Research Profile

According to the provided bibliometric information, Akash Paul has authored 14 Scopus-indexed publications, accumulated 20 citations, and achieved an h-index of 3. These indicators demonstrate active participation in engineering research and scholarly publication while reflecting the development of an emerging academic profile within the engineering community.[1]

  • Affiliation: National Institute of Technology.
  • Primary discipline: Engineering.
  • Scopus-indexed publications: 14.
  • Total citations: 20.
  • Scopus h-index: 3.

Research Contributions

The available publication record demonstrates participation in engineering research and scientific communication through peer-reviewed studies. Engineering research often supports technological innovation, optimization of engineering processes, and practical problem-solving. Continued publication activity contributes to knowledge dissemination and encourages collaboration within the broader scientific community.[2][3]

Publications

Akash Paul’s publication portfolio consists of peer-reviewed engineering research indexed within recognized academic databases. These publications demonstrate scientific productivity and participation in international scholarly communication while supporting the dissemination of engineering knowledge.[1]

  • Engineering journal publications.
  • Technology-oriented research.
  • Collaborative scientific studies.
  • Indexed academic publications.

Research Impact

Research impact is commonly evaluated using objective bibliometric indicators such as publication volume, citation performance, and scholarly visibility. The available metrics indicate continued academic participation and growing recognition within engineering research. Citation activity reflects the use of published work within the wider scientific literature and contributes to the overall assessment of research influence.[1]

Award Suitability

Based on the provided academic information, Akash Paul demonstrates characteristics associated with innovation-oriented scientific recognition, including peer-reviewed publications, measurable citation performance, and active engineering research. Consideration for the Innovative Research Award within the World Science Awards acknowledges scholarly contributions while recognizing that final award decisions depend upon the complete evaluation criteria established by the organizing committee.[1][2]

Conclusion

Akash Paul has established an emerging engineering research profile through scholarly publication and measurable bibliometric performance. His contributions to engineering research reflect continued academic engagement and support the advancement of scientific knowledge through peer-reviewed communication. The available research metrics provide an objective overview of his scholarly activity and professional development within the engineering discipline.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Akash Paul, Author ID 59439149100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59439149100
  2. Google Scholar. (n.d.). Google Scholar Citations: Akash Paul.
    https://scholar.google.com/citations?user=HjWN_-IAAAAJ&hl=en&oi=ao
  3. National Academy of Engineering. The Engineer of 2020: Visions of Engineering in the New Century.
    DOI: https://doi.org/10.17226/10999
  4. Nature Reviews Materials. Innovation and interdisciplinary engineering research.
    DOI: https://doi.org/10.1038/natrevmats.2016.7

Mohammad Rashtian | Electronics | Best Researcher Award

Assist Prof Dr. Mohammad Rashtian | Electronics | Best Researcher Award

Faculty member | Civil Aviation Technology College | Iran

Seyed Mohammad Rashtian, an esteemed Assistant Professor at the Civil Aviation Technology College (Faculty of Aviation Electronics), has made significant contributions to the field of electrical engineering. Born in Isfahan, Iran, and the son of Ahmad Rashtian, he has cultivated a career in electronics, specializing in areas such as low-power designs, voltage reference circuits, and amplifiers. He holds a Ph.D. in Electrical Engineering and is known for his academic and research work that spans over two decades.

Profile 👤

Education 🎓

Seyed Mohammad Rashtian’s academic journey began with a strong foundation in Mathematics and Physics from Shahid Adab High School in Isfahan. He earned a Bachelor’s degree in Electrical Engineering – Electronics from KNT University of Technology in 1991, followed by a Master’s degree from the same institution in 1993. He completed his Ph.D. in Electrical Engineering – Electronics from the Islamic Azad University, Science and Research Branch, in 2010, demonstrating excellence throughout his academic career.

Experience 💼

Rashtian has extensive experience in both academic teaching and technical project management. He has been involved in the design, construction, and development of numerous electronic systems such as electromagnetic wave receivers, sine-wave inverters, and DC-DC converters. His technical leadership in the ELF Receiver Network project from 2010 to 2017 showcases his ability to manage complex engineering tasks. Additionally, he has been an influential educator since 1993, teaching various electrical engineering subjects across prominent Iranian universities.

Research Interest 🔬

Rashtian’s research focuses on the design of low-power electronics, voltage references, and high-performance amplifiers. His work in improving operational transconductance amplifiers and noise analysis in switched capacitor circuits is particularly notable. He is dedicated to advancing technologies that enhance the performance of electrical systems with a focus on efficiency and innovation in electronics.

Awards 🏆

Rashtian has been recognized for his contributions to electrical engineering through various academic achievements and research awards. His technical innovations in voltage reference circuits and amplifiers have garnered appreciation from the academic and professional community.

Publications 📚

  • M. Rashtian, O. Hashemipour, K. Navi (2007). “Design of a Low-Pass Switched Capacitor Fourth Order Chebyshev Filter Using an Improved Auto Zero Integrator,” IJECE, Vol. 5, No. 3, pp. 178-183. Cited by 14 articles.
  • M. Rashtian (2020). “Sub 1-V Supply Voltage-Reference Based on Mutual Temperature Cancellation of VT and VTH,” Analog Integrated Circuit and Signal Processing, Vol. 105, pp. 477–482. DOI:10.1007/s10470-020-01704-y.
  • M. Rashtian, M. Shahpasandi (2024). “Low-Power MOSFET-Only Subthreshold Voltage Reference with High PSRR,” AUT Journal of Electrical Engineering, 56(3), pp. 439-452. DOI:10.22060/eej.2024.23046.5583.

Conclusion 🎯

Seyed Mohammad Rashtian is a distinguished scholar and innovator in electrical engineering. His contributions, particularly in low-power designs and voltage reference circuits, continue to shape the academic and industrial landscape. His dedication to teaching, research, and technical development has earned him a respected position in the field, making him a significant figure in advancing electronics technology.

Ammar Armghan | Electronics and Communications | Best Researcher Award

Assoc Prof Dr. Ammar Armghan | Electronics and Communications | Best Researcher Award

Associate Professor at Jouf University, Saudi Arabia.

Assoc. Prof. Dr. Ammar Armghan is an accomplished academic and researcher specializing in Electronics and Communication Engineering. He holds a Ph.D. in Optical Engineering from Huazhong University of Science and Technology (HUST), completed at the Wuhan National Laboratory for Optoelectronics (WNLO) in 2016. Dr. Armghan also earned an MSc in Electronic Communications and Computer Engineering from the University of Nottingham, UK. With a career spanning over a decade, he has held key positions at prestigious institutions such as Jouf University in Saudi Arabia, where he currently serves as an Associate Professor in the Department of Electrical Engineering. His research focuses on high-performance engineering, metamaterials, and optical communications, with numerous funded projects and publications in renowned journals like IEEE Access and Scientific Reports. Dr. Armghan has been recognized with several accolades, including the Best Teacher Award from Jouf University and the Chinese Government Scholarship for his Ph.D. studies. He is also an active member of the Institute of Engineering Technology (UK) and the Pakistan Engineering Council.

Profile

Education

Assoc. Prof. Dr. Ammar Armghan completed his Ph.D. in Optical Engineering at the Wuhan National Laboratory for Optoelectronics (WNLO) within the Department of Electrical Engineering at Huazhong University of Science and Technology (HUST) from September 2013 to September 2016. He earned his Master of Science (MSc) in Electronic Communications and Computer Engineering from the University of Nottingham, UK, where he achieved a commendable CGPA of 3.4/4.0, graduating in September 2009. During his MSc studies, Dr. Armghan engaged in projects across several key modules, including Hardware Description Language, Instrumentation and Measurement, Optical Communication, Mobile Communication, RF Microelectronics, and Digital Signal Processing. Prior to his master’s degree, he obtained a Bachelor of Science (BSc) in Electrical Engineering from CIIT, Pakistan, with a CGPA of 3.06/4.0, graduating in July 2006. His undergraduate studies covered essential topics such as Control Systems, Signals and Systems, Network Analysis, VLSI, and Communication Systems.

Professional Experience

Assoc. Prof. Dr. Ammar Armghan is currently serving as an Associate Professor in the Department of Electrical Engineering at Jouf University, Saudi Arabia. With over a decade of experience in academia, he has held key positions at Jouf University and previously at HITEC University and the University of Faisalabad, Pakistan. Dr. Armghan has been actively involved in research, accreditation, and quality assurance, contributing to several high-impact research projects and leading accreditation efforts for NCAAA and ABET. His expertise spans electrical engineering, project supervision, and academic leadership.

Research Interest

Assoc. Prof. Dr. Ammar Armghan’s research interests encompass a wide range of topics in electrical engineering, with a focus on advanced metamaterials, optical communications, and wireless networks. His work delves into the design and fabrication of metamaterial devices for energy harvesting and sensing applications, including polarization-insensitive absorbers and high-Q sensors. He is also involved in the development of intelligent control systems, renewable energy solutions, and machine learning applications for long-haul optical communication. Additionally, Dr. Armghan has contributed to research on enhancing the security and performance of IoT networks and improving mobile communication systems using advanced modulation techniques.

Research Skills

Assoc. Prof. Dr. Ammar Armghan possesses a diverse skill set that spans both theoretical knowledge and practical expertise in electronics and communication engineering. He is proficient in various software and tools such as Xilinx ISE, ChipScope, Comsol, Lumerical FDTD, MicroWind, ModelSim, Proteus, and Orcad, which he utilizes for hardware description, simulation, and circuit design. His skills extend to Matlab for advanced computational tasks, including optical communication systems, digital signal processing, and control system design. With a strong foundation in VHDL and FPGA programming, Dr. Armghan has successfully implemented complex designs, such as ADC modeling and low-noise amplifier development. His broad technical capabilities are complemented by his leadership in academic quality assurance, accreditation, and research projects.

Award and Recognition

Dr. Armghan’s excellence in teaching and research has been recognized through various awards, including the Best Teacher Award at the College of Engineering, Jouf University, and an appreciation certificate from the President of Jouf University for his leadership in achieving NCAAA and ABET accreditation. His international scholarships further attest to his academic prowess and commitment to advancing his field.

Conclusion

Dr. Ammar Armghan exemplifies the qualities of a leading researcher through his rigorous academic background, impactful research projects, and dedication to teaching. His extensive contributions to the field of Electronics and Communication Engineering, combined with his recognition in academic and professional circles, position him as an outstanding candidate for the Best Researcher Award.

Publications Top Notes

  • Backstepping Based Non-linear Control for Maximum Power Point Tracking in Photovoltaic System
    • Authors: H Armghan, I Ahmad, A Armghan, S Khan, M Arsalan
    • Journal: Solar Energy
    • Year: 2018
    • Volume and Pages: 159, 134-141
    • Citations: 110
  • A Deep Neural Network and Classical Features Based Scheme for Objects Recognition: An Application for Machine Inspection
    • Authors: A Armaghan, N Hussain, MA Khan, M Sharif, SA Khan, AA Albesher, …
    • Journal: Multimedia Tools and Applications
    • Year: 2020
    • Citations: 92
  • Nonlinear Integral Backstepping Based Control of a DC Microgrid with Renewable Generation and Energy Storage Systems
    • Authors: H Armghan, M Yang, MQ Wang, N Ali, A Armghan
    • Journal: International Journal of Electrical Power & Energy Systems
    • Year: 2019
    • Volume and Pages: 117, 105613
    • Citations: 84
  • 5G Technology in Healthcare and Wearable Devices: A Review
    • Authors: DH Devi, K Duraisamy, A Armghan, M Alsharari, K Aliqab, V Sorathiya, …
    • Journal: Sensors
    • Year: 2023
    • Volume and Issue: 23 (5), 2519
    • Citations: 80
  • Design of Integral Terminal Sliding Mode Controller for the Hybrid AC/DC Microgrids Involving Renewables and Energy Storage Systems
    • Authors: H Armghan, M Yang, A Armghan, N Ali, MQ Wang, I Ahmad
    • Journal: International Journal of Electrical Power & Energy Systems
    • Year: 2020
    • Volume and Pages: 119, 105857
    • Citations: 79
  • Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion
    • Authors: S Khan, MA Khan, M Alhaisoni, U Tariq, HS Yong, A Armghan, F Alenezi
    • Journal: Sensors
    • Year: 2021
    • Citations: 62
  • A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification
    • Authors: SK Mehak Arshad, Muhammad Attique Khan*, Usman Tariq, Ammar Armghan, Fayadh …
    • Journal: Computational Intelligence and Neuroscience
    • Year: 2021
    • Citations: 55
  • Wavelet Transform Based Deep Residual Neural Network and ReLU Based Extreme Learning Machine for Skin Lesion Classification
    • Authors: F Alenezi, A Armghan, K Polat
    • Journal: Expert Systems with Applications
    • Year: 2022
    • Volume and Pages: 213, 119064
    • Citations: 54