Dr. Sayed Abulhasan Quadri
Professor and Researcher
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Academic Career Length
15Years (2012-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 April 2014 in Journal of Cleaner Production
Journal Article
MHMeor Othman Hamzah
Meor Othman HamzahMKMuhammad Rafiq Kakar
Muhammad Rafiq KakarSayed Abulhasan Quadri
Jan Valentin19 January 2012 in International Journal of Image and Data Fusion
Journal Article
OSOthman Sidek
Othman Sidek
Sayed Abulhasan QuadriImplementation of a data fusion system is a complex task. Several of the most critical issues related to the implementation are requirements analysis, sensor selection, architecture selection, algorithm selection, software implementation and testing and evaluation. A number of data fusion frameworks have been developed to serve the purpose. This article reviews the literature on data fusion models, as well as aspects of systems engineering related to multisensory fusion. A novel generic framework is proposed to link data fusion system engineering with algorithm engineering paradigm. A new term called ‘impact factor’ is introduced to designate data fusion performance research findings.
1 February 2013 in Journal of Experimental Nanoscience
Journal Article
OSOthman Sidek
Othman Sidek
Sayed Abulhasan QuadriSKShahid Kabir
Shahid Kabir
MAMuhammad Hassan Bin Afzal
Muhammad Hassan Bin AfzalCarbon nanotubes (CNTs) are allotropes of carbon with a cylindrical nanostructure. Over the years, new discoveries have led to new applications, often taking advantage of their unique electrical properties, extraordinary strength and efficiency in heat conduction. Since industrialisation, human activities have resulted in steadily increasing concentrations of the greenhouse gases. Excess amount of carbon dioxide (CO2) in living environment is toxic and unsuitable for human consumption. Thus, a need exists for accurate, inexpensive, long-term monitoring of environmental contaminants using sensors that can be operated on site. Over the past decade, many wireless sensor network (WSN)-based monitoring applications have been proposed. This article reviews the developments of sensing elements to monitor CO2 in the environment. The cylindrical carbon molecules have novel properties that make them potentially useful in many applications in nanotechnology, electronics, optics and other fields of materials science, as well as potential sensing element in wireless sensor technology. They exhibit extraordinary strength and unique electrical properties, and are efficient thermal conductors. The unique properties of CNT makes it a potential sensing element in the WSN technology.
24 May 2013 in Neural Computing and Applications
Journal Article
Sayed Abulhasan QuadriOSOthman Sidek
Othman Sidek
19 June 2025
Book
SASayed Abdulhayan
Sayed AbdulhayanSayed Abulhasan QuadriIn an era where sustainability is paramount, technology emerges as a critical driver for transformative change across industries. This book explores cutting-edge technological innovations that support sustainable development and align with global goals. Beginning with fuzzy systems in industrial engineering, we delve into intelligent approaches that optimize complex processes. The following chapters examine broader technological innovations fostering sustainability, green strategies in evolving supply chains and e-commerce aligned with SDG 9, and advanced technologies such as IoT, AI, and blockchain revolutionizing sustainable farming practices. This comprehensive compilation aims to inspire researchers, practitioners, and policymakers to harness innovative technologies for building resilient, eco-friendly systems that meet present needs without compromising the future.
1 January 2013 in Applied Mechanics and Materials
Journal Article
Sayed Abulhasan QuadriOSOthman Sidek
Othman Sidek
Multi-sensor data fusion provides significant advantages over single source data to achieve an improved accuracy and better precision. Decentralized data fusion approach is one in which features are extracted and processed individually and finally fused to obtain global estimates. The paper presents decentralized data fusion algorithm using factor analysis model. Factor analysis is a statistical method used to study the effect and interdependence of various factors within a system. The proposed algorithm fuses accelerometer and gyroscope data in an inertial measurement unit (IMU). Simulations are carried out on Matlab platform to illustrate the algorithm.
About Me
Passionate towards Research and Teaching. Having more than 24 years of experience.
Sayed Abulhasan Quadri, Graduated Engineering from BLDE, Karnataka University Dharwad, Dharwad. Completed MTech in CSE from VTU, Belagavi. He pursued PhD from University Sians Malaysia (USM), which is a Govt Apex University. • He worked 1 year as Embedded Engineer in Hyderabad. • He has 20 plus years of teaching experience. • He has 6 years of Research Experience; he has worked as Research officer in CEDEC Research Centre Malaysia. • He is a member of several Professional bodies and Technical associations. • He is reviewer of several journals and was IEEE Chair for three consecutive years (2012-2015). • He is recipient of Sanggar Sanjung Award 2014, (Award as appreciation for publishing Research-Paper in Highly reputed Journal, for the paper “Quantification of biofilm on flooring surface using image classification technique”, in the Journal ‘Neural Computing and Applications’. • Recently he received “Inspiring Teacher Award” at Annual Day Celebration 2023 of SECAB IET. • He was listed as VIP in Marquis Data Base of Who’s Who in the World, in the year 2015. He has successfully guided two Phd students under VTU Belagavi• He has guided 15 PG students and several UG students. • His research interest are Data Fusion, AI, Neural Networks. • He has published 60 Research Papers, out of which 22 papers are SCOPUS Indexed.
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