Taif Alawsi
@uotechnology.edu.iq
Laser and Optoelectronics Engineering
University of Technology
His work experience is in the fields of Communication and Telecommunication Systems, Medical Instrumentation, and Laboratory Equipment. His publications include 21 Research articles, 2 Review articles, 4 Editorials, 3 Preprints and a Book. He had numerous scientific activities such as workshops, presentations, online classes, conferences, and webinars. He is actively a certified reviewer for Web of Science and Scopus indexed journals with 177 prepublication reviews for 34 Journals. He is a member of several global academic societies including IEEE, IEEE Photonics Society, American Chemical Society (ACS), Optical Society of America (OSA), Italian Society of Optics and Photonics (SIOF), and Iraqi Engineering Union. He received the Google Certified Educator: Level 1. He is currently the managing editor of the Iraqi Journal of Embryos and Infertility Researches (IJEIR) and an editorial member in the American Journal of Science, Engineering and Technology (AJSET)
EDUCATION
He received the B.Sc. degree and the M.Sc. degree in Laser and Optoelectronics Engineering from Al Nahrain University, Baghdad, Iraq, in 2013, and 2017, respectively. He received his Ph.D. in Laser / Electronic and Communication Engineering from the University of Baghdad, Baghdad, Iraq, in 2021. From 2019-2021 he was a Ph.D. Researcher at La Sapienza University of Rome, Department of Information Engineering, Electronics and Telecommunications, Rome, Italy.
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary, Engineering, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering
FUTURE PROJECTS
Design of Smartphone Sensors for immunosorbent assay
Due to the emerging outlook of using smartphone sensors in multidisciplinary research environment, the immunosorbent assay is now being categorized in sensing areas of smartphone sensors.
Applications Invited
COLLABORATORS
Machine Learning with Bio-Imaging
Bio-Imaging techniques with good machine learning platform is the focus of this research.
Applications Invited
COLLABORATORS
Simulation of sensors in food safety applications
Using commercial software for analyzing and simulating the optical sensors for food safety applications.
Applications Invited
COLLABORATORS
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Raed Obaid Saleh, Sulieman Ibraheem Shelash Al-Hawary, Ahmad Hammoud, Ahmed Hjazi, Sumaya Ayad Abdulrazzaq, Pranchal Rajput, Taif Alawsi, Mohammed Jawad Alnajar, and Ahmed Alawadi
Springer Science and Business Media LLC
Sulieman Ibraheem Shelash Al-Hawary, Ebraheem Abdu Musad Saleh, Raed H. Althomali, Hanin E Yeslam, Sana Shahab, M. Abdulfadhil Gatea, Taif Alawsi, and Ibrokhim Sapaev
Elsevier BV
Dewi Indah Noviana Pratiwi, Sharif Alhajlah, Ahmed Alawadi, Ahmed Hjazi, Taif Alawsi, Sami G. Almalki, Ali Alsalamy, and Abhinav Kumar
Elsevier BV
Manal Abdulwahid Abbood, Ebraheem Abdu Musad Saleh, Abhinav Kumar, Paul Rodrigues, Shavan Askar, Taif Alawsi, Ahmed Alawadi, and Ali Alsalamy
Elsevier BV
Hijran Sanaan Jabbar, Sulieman Ibraheem Shelash Al-Hawary, Salema K. Hadrawi, Taif Alawsi, Furqan M. Abdulelah, Usama S. Altimari, Saja Hameed Kareem, Ahmed Hussien Radie Alawady, Ali Hashiem Alsaalamy, and Yasser Fakri Mustafa
OAIMDD - EcoZone Publishing House
Mostafa Jalalnezhad, Mukesh Kumar Sharma, Sofiene Mansouri, Sellappan Velmurugan, Shavan Askar, Taif Alawsi, Ahmed Alawadi, and Ali Hashim Abbas
SAGE Publications
The weak spots have been examined, a solution has been suggested, the solution has been applied, and a comparison between the simulation and experimental test results has been given in this work. In order to do this, a nonlinear model predictive controller and a linear quadratic regulator controller have been utilized to control a four-wheel mobile robot during modeling and implementation. But the combination of these classic and modern controllers with machine learning can greatly help to make these controllers work more accurately; As a result, in order to increase the accuracy of the performance of these controllers, by training neural networks of multilayer perceptrons, the controllers have been made intelligent. Controllers with cost function have coefficients as weighting to the matrix of system state variables and control input, which are greatly affected by changing these two weighting matrices of problem solving and optimization. For this reason, it is necessary to extract these two matrices for each separate path in order to improve the performance of the controller by trial and error. But by applying the proposed network which is trained with a new algorithm, not only the performance accuracy has increased, but the network extracts these two matrices without the need to spend human energy. Additionally, by training additional neural networks to optimally extract the benefit of the forecast horizon, fewer calculations and faster solution times have been achieved, helping to reduce the current time delays, particularly in the implementation of the nonlinear controller on the robot in the experimental mode. In the hardware section, the solution time has been shortened by looking at and utilizing operators like the U2D2 interface and the pixy camera, which are quicker than the standard procedure. The information indicates that the proposed intelligence technology reacts 40%–50% quicker than the NMPC standard procedure. The suggested algorithm has also minimized the path tracking error since it extracts the optimal gain at each stage. Moreover, a hardware mode solving speed comparison between the recommended and conventional methods is given. In this domain, a 33% increase in solving speed has been noted.
Faouzi Didi, Ebraheem Abdu Musad Saleh, Abhinav Kumar, Ahmed Alawadi, Ali Alsaalamy, Taif Alawsi, Reza Alayi, Hasan Hosseinzadeh, and Reza Morovati
AIP Publishing
This study aims to optimize the economic thermodynamics of a flat plate solar collector and investigate transient heat transfer. This study focuses on modeling and optimization under unfavorable radiation conditions. The method employed here is optimization using a multi-objective genetic algorithm with the assistance of MATLAB software. The key components include objective functions, constraints, and design variables, which are the collector efficiency and the annual total price. The results indicate that increasing the length of the collector has a negative impact on the thermodynamic efficiency and increases the total annual price. Conversely, increasing the width of the collector initially improves the thermodynamic efficiency but then decreases it while also increasing the total annual price. Furthermore, increasing the number of pipes leads to a decrease in the total annual price and an initial increase followed by a decrease in the thermodynamic efficiency. The research was conducted over four different days.
Yongzheng Yang, Ghadeer Sabah Bustani, Taif Alawsi, Farag M.A. Altalbawy, Ali Kamil Kareem, Jitendra Gupta, Ping Zhu, Ahmed Hjazi, Ahmed Hussien Alawadi, and Yasser Fakri Mustafa
Elsevier BV
B S Abdullaeva, T Alawsi, A Alawadi, and A Alsalamy
IOP Publishing
Abstract The optomechanically induced grating (OMIG) in a nanocavity using a bilayer graphene system as the intracavity medium has been proposed. We investigate the effects of different parameters on the Fraunhofer diffraction pattern of the incident probe light. Here, one mirror of the nanocavity is considered coherently driven by the standing wave coupling and probe fields, whereas the second mirror has mechanical oscillation due to the radiation pressure. We consider interaction of bilayer graphene with the optomechanical cavity and show that OMIG can be obtained corresponding to output probe field frequency. Moreover, we find that under specific parametric conditions, most of the probe energy can transfer to the higher orders of the diffraction and only a small portion remains in the zero order.
Sherzod Shukhratovich Abdullaev, Younus Fahad Breesam, Asaad A.H. AlZubaidi, Abhishek Kumar Tripathi, A.K. Kareem, Sergey Vladimirovich Kuznetsov, Taif Alawsi, and Rahman S. Zabibah
Elsevier BV
N. Assoudi, A. Chaabani, Mohammed Rasheed, I. Walha, E. Dhahri, Taif Alawsi, Dikra Bouras, R. Barille, and M. Smari
Springer Science and Business Media LLC
Sulieman Ibraheem Shelash Al-Hawary, Azhar Kamel, Sherzod Shukhratovich Abdullaev, A.K. Kareem, Khalid A. Alkhuzai, Rosario Mireya Romero-Parra, Alireza Hossein Amini, Taif Alawsi, Munther Abosaooda, and Mohsen Dejaverdi
Elsevier BV
Yasir Qasim Almajidi, Raed H. Althomali, Marwah Suliman Maashi, Irfan Ahmad, Ebraheem Abdu Musad Saleh, A.K. Kareem, Rosario Mireya Romero-Parra, Taif Alawsi, and Khulood Saadoon Salim
Elsevier BV
AISHA KAMAL MAHMOUD, M. ABDULFADHIL GATEA, TAIF ALAWSI, A. K. KAREEM, M. HEYDARI VINI, and S. DANESHMAND
World Scientific Pub Co Pte Ltd
In recent years, bimetallic strips have been progressively used in manufacturing to make collective purposes. Amongst cladding approaches, the rolling process is one of the most popular processes in making bimetallic strips. In this study, a new analytical model based on the slab method has been proposed to predict the bond strength of two layer strips. Results show that the bond strength of strips increases with increasing total rolling thickness reduction of the samples. Also, the finite element simulation and an experimental study were run to approve the results obtained from the new analytical model for producing AA1060/AA7075 bimetallic strips. Moreover, the planned analytical model is appropriate for modeling the roll bonding process of the two-layer strips and it is proficient to extend our information in engineering and production of bimetal strips. The bonding strength of bilayer samples enhanced by increasing the reduction in thickness ratio. The peeled surface of samples has been investigated using scanning electron microscopy (SEM).
Karthikeyan Sathasivam, Ilhan Garip, Ahmed Majed Althahabi, Sami Mohammed, Ali Ihsan Alanssari, Yaqeen S. Mezaal, Jameel Mohammed Ameen Sulaiman, and Taif Alawsi
Informa UK Limited
Saade Abdalkareem Jasim, Akram H. Shather, Taif Alawsi, Andrés Alexis Ramírez-Coronel, Ahmed B. Mahdi, Mukhiddin Normatov, Maria Jade Catalan Opulencia, and Farid Kamali
Elsevier BV
Usama S. Altimari, Rosario Mireya Romero Parra, Ngakan Ketut Acwin, Ali Majdi, Mustafa M. Kadhim, Taif Alawsi, Wanich Suksatan, and Fatemeh Ahmadi Peyghan
Elsevier BV
N. Assoudi, A. Chaabani, Mohammed Rasheed, I. Walha, E. Dhahri, Taif Alawsi, Dikra Bouras, and R. Barille
Springer Science and Business Media LLC
Ngakan Ketut Acwin Dwijendra, Untung Rahardja, Narukullapati Bharath Kumar, Indrajit Patra, Musaddak Maher Abdul Zahra, Yulia Finogenova, John William Grimaldo Guerrero, Samar Emad Izzat, and Taif Alawsi
MDPI AG
Population growth and urbanization cause developing-country cities to create energy-intensive buildings. Building energy efficiency can be improved through active and passive solar design to reduce energy consumption, increase equipment efficiency, and utilize renewable energy, converting renewable energy into thermal energy or electricity. In this study, passive architecture was evaluated for both urban block and building energy usage. When reliable information and analysis of signs and parameters impacting energy consumption are available, designers and architects can evaluate and passively design a building with higher precision and an accurate picture of its energy consumption in the early stages of the design process. This article compares the location of Baku’s building mass to six climate-related scenarios. Three methodologies are used to determine how much solar energy the models utilize and the difference between annual heating and cooling energy consumption. The structure’s rotation has little effect on the energy utilized in most forms. Only east-west linear designs employ 6 to 4 kWh/m2 of area and are common. Most important is the building’s increased energy consumption, which can take several forms. The building’s westward rotation may be its most important feature. Any westward revolution requires more energy. Building collections together offers many benefits, including the attention designers and investors provide to all places. Having an integrated collection and a sense of community affects inhabitants’ later connections. Dictionary and encyclopedia entries include typology discoveries. These findings will inform future research and investigations. An architect must know a variety of qualities and organizations to define and segregate the environment because architecture relies heavily on the environment. This research involves analyzing the current situation to gain knowledge for future estimations. The present will determine the future.
Iskandar Muda, Ngakan Ketut Acwin Dwijendra, Taif Al Awsi, Bashar S. Bashar, and Mohammed Sabeeh Majeed
Walter de Gruyter GmbH
Abstract In this article, optimal energy consumption in the smart houses is studied considering techno-economic indices and demand side management (DSM) in electrical grids. The optimal energy consumption is implemented based on optimal scheduling of the household appliances than energy price and capacity of demand flexibility in DSM. The proposed approach is considered as two-stage optimization. Using first stage, energy consumption is modified by optimal shifting of the appliances subject to DSM and energy price. Thus, modified energy consumption is taken into accounted in second stage optimization to maximizing the consumers comfort and minimizing operation cost, simultaneously. The optimization process is done in the MATLAB software, in which objectives in second stage are optimized via lp-metric method. Finally, the performance of the proposed modelling is validated as case studies using numerical simulation.
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GRANT DETAILS
MAECI Grants- Study in Italy
Ministero degli Affari Esteri e della Cooperazione Internazionale (Rome, Lazio)
2019-01 to 2020-09|Grant
GRANT_NUMBER: 1559605969