Talib AbdZaid Al-Sharify

@ruc.edu.iq

Computer Communication Engineering Department
ALRAFIDAIN UNIVERSITY COLLEGE

Talib AbdZaid Al-Sharify


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https://researchid.co/talib1955
Associated Prof. Dr. Talib Abidzaid Al-Sharify

BsC, MSc, PhD Physics.

Associated Professor, Al-Rafidain university, Iraq, Baghdad, Iraq.
PhD MSc in Physics Birmingham University, UK
MSc in Physics Baghdad University, Iraq
BSc in Physics Al-Mustansiriyah University, Iraq

Address: (Iraq) Aladamiaha, Mahlal 316, street 9, house No. 4, Baghdad, Iraq.
Telephone : (Iraq) 009647705364141
Email:
Official email:
Personal Emails: zainab_talib2009@
website:

EDUCATION

1989: Birmingham University, UK- Doctorate of Philosophy (PhD) in Theoretical Physics
1986: Birmingham University, UK- - –MSc in Physics, Technology of Nuclear Reactors
1980: Baghdad University, Iraq- - –MSc in Physics, Nuclear Physics
1977: Mustansiriyah University, Iraq- - –BSc in Physics

RESEARCH INTERESTS

physics, IOT, computer engineering, telecommunication, nuclear physics, medical physics, nuclear engineering, engineering sciences, sustainability, image processing, mathematics

FUTURE PROJECTS

Theoretical physics of Nanofluids and its Fluid flow applications


Applications Invited
35

Scopus Publications

529

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

Scopus Publications

  • Evaluating electrocoagulation and fluid flow dynamics in the treatment of food manufacturing wastewater compared to conventional methods
    Zinah A. Alshrefy, Zainab T. Al-Sharify, Talib A. Al-Sharify, Ali A. Abdulabbas, Ali M. Abdullah, Helen Onyeaka
    Desalination and Water Treatment, 2025
    Industrial wastewater, particularly from food manufacturing, contains high levels of organic matter, suspended solids, and heavy metals, posing environmental and public health challenges. Conventional methods, such as coagulation-flocculation and biological treatment, often have limitations, including high sludge production and inefficiencies in removing complex pollutants. This study aims to evaluate the efficiency of electrocoagulation (EC) in treating food manufacturing wastewater compared to conventional treatment (CT) methods. A laboratory-scale batch reactor with aluminum and iron electrodes was used for electrocoagulation, while CT included coagulation-flocculation and biological treatment. Physicochemical, heavy metal and microbiological parameters were analysed before and after treatment. The results demonstrated that EC achieved higher removal efficiencies for key pollutants: 99.9% for COD, 99.9% for BOD, 97.7% for TSS, 96.9% for turbidity, and over 99% for heavy metals such as cadmium, lead, and nickel. EC also exhibited superior microbial removal, achieving 100% eliminating total coliforms, fecal coliforms, and Salmonella . In contrast, CT failed to meet regulatory limits for several parameters. The findings highlight that EC is a promising wastewater treatment alternative due to its high removal efficiency, lower sludge production, and reduced chemical use. This study underscores the need for further optimisation and large-scale implementation of EC to improve industrial wastewater management. • Electrocoagulation removed >99% of COD, BOD, TSS, turbidity, and heavy metals from food wastewater. • EC achieved complete microbial removal, outperforming conventional coagulation–flocculation methods. • Integration of fluid flow dynamics improved pollutant separation and reactor performance in EC systems. • EC offers a scalable, low-sludge, and chemical-saving alternative for industrial wastewater treatment.
  • Employing the Beam forming Technique to Enhance the Medical Ambulance Performance, IoMT
    Mushtaq Al-Sharify, Talib A. Al-Sharify, Noor T. Al-Sharify, Zainab T. Al-Sharify, Ashwaq T. Al-Sharify, Mustafa Akeel Kareem, Aymen Mohammed Khodayer Al-Dlaimi
    Tikrit Journal of Engineering Sciences, 2025
    The radio frequency signal is important for improving the connection among patients, hospitals, and healthcare ambulances. Emergency specialists significantly monitored global healthcare in real-life conditions during the previous century, depending on telecommunications. 5G mobile telecommunication networks have increased smart navigation with 3D dimensions' position for drones, unmanned aerial vehicles, and ambulance vehicles. Ambulances equipped with the Internet of Medical Things (IoMT) enabled smart antennas are the subject of this research. The article's objective is to improve the performance of medical ambulances in real-time and safe health zones by employing the beamforming technique of 5G with advanced MIMO technologies and using vehicles for everything (V2X). Critical components like patient care, delay, and road traffic are analyzed and considered for various smart connections between ambulances and patients to hospitals. The results will help reduce the time delay in transferring data to healthcare systems, which profoundly impacts transferring patient care data faster, enabling healthcare providers to access medical information about the patient. Simulations are used to confirm theoretical results.
  • Optimizing Beverage Production: The Role of Fluid Dynamics in Microbial Fermentation
    Zainab T. Al-Sharify, Helen Onyeaka, Noor T. Al-Sharify, Talib A. AL-Sharify, Noor M. Al-Dabooni, Zinah Amer Idrees Alshrefy, Phemelo Tamasiga, Adenike A. Akinsemolu
    Journal of Food Processing and Preservation, 2025
    Microbial fermentation is one of the fundamental aspects of beverage production which is intricately intertwined with fluid dynamics governing nutrient distributions, microbial activity, and the efficiency of the entire system. This review is aimed at exploring the dynamics between fluid flow and microbial fermentation processes, thereby speculating how flow patterns, temperature regulation, and bioreactor designs together influence fermentation processes. It further pointed out new ways by which computational fluid dynamics (CFD), automation, and real‐time monitoring bring radical changes in the optimization of fermentation efficiency, improvement of quality products, and sustainability. Key advancements in reactor design and fluid control are critically assessed and provide scalable solutions toward lowering energy consumption and improving consistency levels in production. This study connects different disciplines, such as microbiology and engineering, while also emphasizing the importance of precision fermentation aided by AI‐driven fluid management in tackling challenges within industries, ranging from high implementation costs to multidisciplinary expertise. It provides a roadmap that links beverage production and environmental quality standards for scalability and sustainability for the industry, by integrating innovative biotechnological and engineering approaches. The findings of this study would deepen the understanding of fluid–microbial interactions and form a basis for future research on optimizing varied fermentation processes in beverage applications.
  • Blockchain-Enabled Supply Chain Transparency: Enhancing Trust and Traceability in Global Trade
    Noor Abdalkarem Mohammedali, Sajjad M Al-Hakeem, Fatima Abu Siryeh, Ahmed Majeed Hussein, Ibrahim Ali Kurdi, Mahdi Nooruldeen Muhamad, Taif. S. Hasan, Talib Abidzaid Al-Sharify, Wassan Adnan Hashim
    3rd International Conference on Business Analytics for Technology and Security Icbats 2025, 2025
    The usage of blockchain technology contributes to ensuring transparency, security, and confidence in addition to transparency. The purpose of this study is to compare a standard supply chain to a blockchain-enhanced model in terms of transparency. This research underlines that implementing distributed ledger technology can reduce fraud and delays and improve traceability through a performance evaluation based on cost-effectiveness, trust enhancement, and operational streamlining. To evaluate the practical use of blockchain in real-world applications, this study incorporates expert interviews and case studies from diverse commercial sectors. The studies revealed that blockchain boosts supply chain visibility to a major degree, automates contract execution through smart contracts, and fosters trust in stakeholders. Nonetheless, concerns like scaling issues, regulatory uncertainties, and integration hurdles still exist. A comparison of supply chains based on traditional indicates a distinct efficiency in data integrity and real-time monitoring. Moreover, opinions of manufacturers, logistics service providers, regulators, and consumers underline the necessity for unified policy and industry-wide cooperation. Strategies and laws must be established to solve the economic and technological constraints. This report contributes to the knowledge on blockchain-assisted supply chains and gives realworld recommendations for boosting adoption for governments and industry players. Future studies should look into a mixture of blockchain models and AI for improvement.
  • AI-Enhanced Models for Investment Risk Prediction in Financial Markets
    Yasameen AL-Quraishi, Majid M. Manhosh, Hussein A. A. Al-Khamees, Faez Hlail Srayyih, Muhannad Khamis Abed, Talib Abidzaid Al-Sharify, Mashael Taha Hamad, Rafad Imad Kadhim, Wassan Adnan Hashim
    3rd International Conference on Business Analytics for Technology and Security Icbats 2025, 2025
    This research investigates the effectiveness of a CNN-LSTM hybrid model for forex investment risk prediction, demonstrating superior accuracy and robustness compared to traditional models. The proposed model achieves an F1-score of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{0. 9 4}$</tex>, outperforming standalone LSTM (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{0. 8 8}$</tex>) and statistical approaches like ARIMA (0.67) and GARCH (0.72). Incorporating the Directional Change Framework enhances trend alignment, reaching 94.5% for GBP/USD and 96.2% for EUR/USD, compared to 81.3 % and 84.7 % without it. The model significantly reduces forecasting errors, achieving MSE <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&lt;0.0008$</tex>, RMSE <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&lt;0.025$</tex>, and MAPE <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&lt;1.8 \%$</tex>, ensuring stable predictive performance. The Sharpe Ratio (>1.7) further validates its effectiveness in risk-adjusted forex forecasting. Short-term predictions (1-hour and 4-hour) dominate usage (72.4 %), while long-term forecasting (30 -day, 90-day) remains limited <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(3.2 \%)$</tex>. With a 57.6 % adoption rate, CNN-LSTM outperforms Transformer-based methods (22.3 %) and GRU (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 0. 4 \%}$</tex>) in AI-driven forex modeling. Although its predictive effectiveness, computational requirements are still a constraint since Transformer-based models consume 10x more processing. These results underscore the promise of deep learning models in forex investment risk forecasting, maximizing financial decision-making through enhanced accuracy and real-time responsiveness.
  • Improving the Accuracy of Rss-Based Signal Localization in Wireless Indoor Positioning Systems Using Adaptive Filtering Methods
    Duaa A. Majeed, Ahmed Abd AL-Kadem Hadi, Mohammed Fadhil Ibrahim, Alaa K. Shwayaa, Jinan Mukaram Ahmed, Enas Jasim Hadi, NoorUlhuda S. Ahmed, Hussein Alrammahi, Talib A. Al-Sharify
    3rd International Conference on Business Analytics for Technology and Security Icbats 2025, 2025
    Accurate indoor location tracking is becoming increasingly important for various applications such as navigation, asset management, and smart environments, especially when traditional GPS solutions fall short. Among the different methods for indoor positioning, RSS-based approaches are widely used due to their cost-effectiveness and ease of implementation over existing wireless networks. However, these methods are often hindered by environmental interference, leading to lower accuracy. This study explores the use of adaptive filtering to enhance the performance of multipath interference in indoor positioning systems that rely on RSS for signal positioning. The proposed hybrid filtering framework combines Kalman and particle filters with fractional-order derivatives to handle non-linear and dynamic signal variations. Additionally, a machine learning-based error correction module is incorporated to continuously improve the system's performance by dynamically adjusting filter parameters. Extensive simulations and real-world tests were conducted in multi-room indoor environments of varying complexity. The results demonstrated significant improvements in localization accuracy, reducing the average error to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1. 2}$</tex> meters, a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{5 7 \%}$</tex> reduction compared to traditional RSS-based systems. The system was optimized for quick responses, with an average inference time of 50 milliseconds per instance, making it suitable for real-time applications. These findings confirm the robustness and scalability of the proposed framework, which offers a solid foundation for future indoor positioning systems in domains like the Internet of Things, smart cities, and healthcare.
  • Developing Deep Learning Algorithms for Adaptive Control in Prosthetics
    Zaman Mahdi Abbas Alabbas, Basim Ghalib Mejbel, Adel A. Abbas, Sazan Kamal Sulaiman, Ahmed Dheyaa Radhi, Saadaldeen Rashid Ahmed, Abdulghafor Mohammed Hashim, Talib Abidzaid Al-Sharify, Lal Hussain
    Lecture Notes in Electrical Engineering, 2025
  • Deep Learning in Medical Imaging for Early Disease Detection
    Saadaldeen Rashid Ahmed, Talib Abidzaid Al-Sharify, Taif S. Hasan, Rawshan Nuree Othman, Bourair Al-Attar, Noor Haydar Shaker, Abdulghafor Mohammed Hashim, Abu Saleh Musa Miah, Lal Hussain
    Lecture Notes in Electrical Engineering, 2025
  • High Gain Tapered Slot Antenna Based on Offset Radiation Characteristic for 5G Wireless Applications
    Adham R. Azeez, Talib A. Al-Sharify, Osama Abdullah, Zainab Salam, Hayder H. Al-khaylani, T. A. Oleiwi
    2024 4th International Conference on Artificial Intelligence and Signal Processing Aisp 2024, 2024
    this article introduced a high gain tapered slot antenna with offset radiation characteristic. The proposed designed has an overall size of 58*64*1 mm3 mounted on a material type of FR-4. The gain can be enhanced by etching out rectangular slots with different length from the outer-edges that modifies the current behavior. Furthermore, a quarter elliptical of dielectric lens technique is employed for more gain enhancement. The dielectric lens is used to enhance the antenna gain and achieve more oblique radiating. The proposed structure is found to function in the wideband region≥1.9 GHz with S11<-10dB. Moreover, in the range of frequencies 1.9-12 GHz, the VSWR fluctuation with respect to frequency is observed to be less than 2. With a gain improvement of 3 dB at frequency of 10 GHz, the gain is increased across the whole desired frequency range. An offset phase shift of around 30 degrees from the endfire direction is provided by the suggested TSA. For many applications were reducing the aperture block and coupling between antennas is necessary for MIMO antenna design, this offset shift is crucial.
  • Miniaturized Metamaterial Antenna for 5.7 GHz Services
    Bashar S. Bashar, Talib A. Al-Sharify, Z.A. Rhazali, Halina Misran, Marwa M. Ismail, T. A. Oleiwi
    2024 4th International Conference on Artificial Intelligence and Signal Processing Aisp 2024, 2024
    This paper provides multiband antenna-based Metamaterial for gains improvement. Here, the developed antenna constitutes patches such that the first is square-shaped and printed on a Taconic FR-30 substrate. In addition, for exciting the first patch, the process used conduction, whereas the other was capacitively coupled to the source as the impedance of either should be matched accordingly. Furthermore, the second patch constitutes a metasurface layer designed and placed on it as a superstrate, which increases the antenna gain towards the CRLH. The results show a maximum gain of 14.5 dBi at 5.7 GHz with maximum dimensions of 200× 200mm2. Moreover, this antenna operates at additional frequency bands (1.1 GHz, 1.3 GHz, 1.7 GHz, 3 GHz, 3.1GHz, 3.4 GHz, 4.7 GHz, 4.9 GHz, 5.7 GHz and 5.9 GHz), with a minimum reflection coefficient of −18.2db, −11.75db, 11.52db, −20.3db −17.47dB, −14.27dB, −11.3dB, −13.9dB −10.16dB and, −14.69dB respectively. The proposed antenna is designed and analyzed using the CST MWS simulator.
  • Generative Adversarial Networks to Design Metamaterials Based Nano-Photonics Devices
    Hayder H. Al-Khaylani, Talib A. Al-Sharify, Mohammed F. Abbas, Humam Hussein, Raghad Al-Shabandar, T. A. Oleiwi
    2024 4th International Conference on Artificial Intelligence and Signal Processing Aisp 2024, 2024
  • Machine Learning Models for Optimizing Supply Chain Management
    Sanabel Alkubaisi, Ali Fenjan, Talib Abidzaid Al-Sharify, Salsal Sadiq, Hussein Basim Furaijl, Saadaldeen Rashid Ahmed
    Ismsit 2024 8th International Symposium on Multidisciplinary Studies and Innovative Technologies Proceedings, 2024
  • The Role of Artificial Intelligence in Enhancing English Language Communication and Operational Efficiency in Logistics and Transportation Systems
    Lana Dlawar Miran, Wameedh Abduladheem, Ahmed Fouad Abdullah, Talib A. Al-Sharify, NoorUlhuda S. Ahmed, Saadaldeen Rashid Ahmed, Mohammed AlAqad, Sameer Algburi
    Ismsit 2024 8th International Symposium on Multidisciplinary Studies and Innovative Technologies Proceedings, 2024
  • Multimodal Deep Learning for Video Classification
    Rafad Imad Kadhim, Firas Al-Mukhtar, Ari Taha Guron, Alaa K. Shwayaa, Talib A. Al-Sharify, Bourair Al-Attar, Saadaldeen Rashid Ahmed, Sameer Algburi, Wassan Adnan Hashim
    8th International Symposium on Innovative Approaches in Smart Technologies Isas 2024 Proceedings, 2024
  • IOMT application designed for patients health monitoring
    Mushtaq Talib Al-Sharify, Ruslan Smolianinov, Talib A. Al-Sharify
    Aip Conference Proceedings, 2023
  • Digital architecture and designing architecture space and ITS effect on future life strategy
    Noor A. M. Aalhashem, Kameelal A. Al-Kaissi, Talib A. Al-Sharify, Zainab T. Al-Sharify, Rwayda Kh. S. Al-Hamd, Teba Tariq Khaled
    Aip Conference Proceedings, 2023
  • The future of an intelligent and responsive architecture design after the COVID 19 epidemic
    Noor A. M. Aalhashem, Kameelal A. Al-Kaissi, Teba Tariq Khaled, Talib A. Al-Sharify, Zainab T. Al-Sharify, Zainab Abdulrazak Naser, Rwayda Kh.S. Al-Hamd
    Aip Conference Proceedings, 2023
  • Flow of nanofluids and its theoretical physics
    Talib A. Al-Sharify, Zainab T. Al-Sharify, Noor T. Al-Sharify, Mushtaq T. Al-Sharify, Noor A. M. Aalhashem, Soumya Ghosh, Helen Onyeaka, Shabnam Ahmadi
    Aip Conference Proceedings, 2023
  • Using GIS model to investigate sustainable irrigation techniques from wastewater
    Zainab T. Al-Sharify, Zinah A. Alshrefy, Sarah D. Al-Jarjees, Harith Al-Moameri, Talib A. Al-Sharify, Soumya Ghosh, Helen Onyeaka, Teba Tariq Khaled
    Aip Conference Proceedings, 2023
  • Advanced biomedical engineering technology in designing economic low-cost prototype infant incubator using Arduino
    Noor T. Al-Sharify, Ban M. Alameri, Murtadha Muhammad, Nawar Banwan Hassan, Zainab T. Al-Sharify, Talib A. Al-Sharify, Soumya Ghosh, Israa S. Al-Azzawi
    Aip Conference Proceedings, 2023
  • Multilevel features fusion of intelligent techniques for brain imaging analysis
    Talib A. Al Al-Sharify, , , , , Mohammed Hussein .., Aqeel Hussen, Zaid Saad Madhi
    Fusion Practice and Applications, 2023
  • Fusion system for blockchain asset securitization risk control using adaptive deep learning-based framework
    Raed .., , , , , , Omar Saad Ahmed, Talib A. Al Al-Sharify, Wasfi Hameed, Riyam K. Marjan
    Fusion Practice and Applications, 2023
  • On the Propagation through Annular Core Optical Fiber under DB Boundary Conditions
    Muhammad Saqlain, Lway Faisal Abdulrazak, Muhammad Kashif, Talib A. Al-Sharify, Laith S. Ismail, Muhammad Abuzar Baqir
    Progress in Electromagnetics Research Letters, 2023
  • Physical Properties of Test Signals to Enhance Telecommunication Paths
    B. S. Bashar, A. I. Al-Anssari, M. M. Ismail, T. A. Al-Sharify, M. T. Al-Sharify, V. V. Pyliavskyi
    Aip Conference Proceedings, 2022
  • Environmental Impact of Using Geothermal Clean Energy (Heating and Cooling Systems) in Economic Sustainable Modern Buildings Architecture Design in Iraq: A Review
    Noor A. M. Aalhashem, Zainab Abdulrazak Naser, Talib A. Al-Sharify, Zainab T. Al-Sharify, Mustaq T. Al-sharify, Rwayda Kh.S. Al-Hamd, Helen Onyeaka
    Aip Conference Proceedings, 2022
  • Validating Sustainable Water Resources And Fluid Flow By Studying Phosphorus Concentration Of Tigris River Water In Baghdad
    Zainab T. Al-Sharify, Hyman Jafar Meerza Al Jaaf, Zainab Abdul Razak Naser, Zinah Amer Idrees Alshrefy, Noor T. Al-Sharify, Talib A. Al-Sharify, Soumya Ghosh, Helen Onyeaka, Taghi Miri
    Aip Conference Proceedings, 2022
  • Polymer Resin Modelling for Chemical and Biomedical Purposes
    Noor Al-Sharify, Hussein Hussein, Sura Ahmed, Talib Al-Sharify, Zainab AL-sharify, Helen Onyeaka, Zainab Naser, Taghi Miri, Soumya Ghosh
    Egyptian Journal of Chemistry, 2022
  • IoT and E-learning with the Impact of COVID 19 Pandemic Lockdown on the Undergraduate University Student Blood Pressure Levels
    Ceur Workshop Proceedings, 2022
  • Real-time cloth simulation on virtual human character using enhanced position based dynamic framework technique
    Itimad Ali, Mazin Mohammed, Talib Al-Sharify, Hoshang Kolivand
    Baghdad Science Journal, 2020
  • A critical review on medical imaging techniques (CT and PET scans) in the medical field
    Zainab T. Al-Sharify, Talib A. Al-Sharify, Noor T. Al-Sharify, Husam Yahya naser
    Iop Conference Series Materials Science and Engineering, 2020
  • Investigative study on theinteraction and applications of plasma activated water(PAW)
    Zainab T. Al-Sharify, Talib A. Al-Sharify, baker W. al-Obaidy, Ameer M. al-Azawi
    Iop Conference Series Materials Science and Engineering, 2020
  • Theoretical physics to improve radio frequency in 5 generation
    Talib Al-Sharify, Ali Ihsan Alanssari, Mushtaq Talib Al-Sharify, Itimad Raheem Ali
    Iop Conference Series Materials Science and Engineering, 2020
  • A technical overview and comparison between PET and M RI scanning
    Noor T. Al-Sharify, Zainab T. Al-Sharify, T. Al-sharify, M. T. Al-Sharify, Ashwaq T. Al-Sharify
    Systematic Reviews in Pharmacy, 2020
  • Removal of analgesic paracetamol from wastewater using dried olive stone
    International Journal of Mechanical Engineering and Technology, 2018
  • Possibility of utilizing from lemon peel as a sorbent in removing of contaminant such as copper ions from simulated aqueous solution
    International Journal of Civil Engineering and Technology, 2018

RECENT SCHOLAR PUBLICATIONS

  • Evaluating electrocoagulation and fluid flow dynamics in the treatment of food manufacturing wastewater compared to conventional methods
    ZA Alshrefy, ZT Al-Sharify, TA Al-Sharify, AA Abdulabbas, AM Abdullah, ...
    Desalination and Water Treatment 324, 101523 , 2025
    2025
    Citations: 1
  • Deep Learning in Medical Imaging for Early
    SR Ahmed, TA Al-Sharify, TS Hasan⁴
    Proceedings of the 4th International Conference on Frontiers of Electronics … , 2025
    2025
  • AI-Enhanced Models for Investment Risk Prediction in Financial Markets
    ALQ Yasameen, MM Manhosh, HAA Al-Khamees, FH Srayyih, MK Abed, ...
    2025 3rd International Conference on Business Analytics for Technology and … , 2025
    2025
    Citations: 2
  • Improving the Accuracy of Rss-Based Signal Localization in Wireless Indoor Positioning Systems Using Adaptive Filtering Methods
    DA Majeed, AAALK Hadi, MF Ibrahim, AK Shwayaa, JM Ahmed, EJ Hadi, ...
    2025 3rd International Conference on Business Analytics for Technology and … , 2025
    2025
  • Blockchain-Enabled Supply Chain Transparency: Enhancing Trust and Traceability in Global Trade
    NA Mohammedali, SM Al-Hakeem, FA Siryeh, AM Hussein, IA Kurdi, ...
    2025 3rd International Conference on Business Analytics for Technology and … , 2025
    2025
    Citations: 1
  • Employing the beamforming technique to enhance the medical ambulance performance, iomt
    M Al-Sharify, TA Al-Sharify, NT Al-Sharify, ZT Al-Sharify, AT Al-Sharify, ...
    Tikrit Journal of Engineering Sciences 32 (1), 1-9 , 2025
    2025
    Citations: 1
  • Optimizing Beverage Production: The Role of Fluid Dynamics in Microbial Fermentation
    ZT Al-Sharify, H Onyeaka, NT Al-Sharify, TA AL-Sharify, NM Al-Dabooni, ...
    Journal of Food Processing and Preservation 2025 (1), 8811731 , 2025
    2025
    Citations: 1
  • Multimodal Deep Learning for Video Classification
    RI Kadhim, F Al-Mukhtar, AT Guron, AK Shwayaa, TA Al-Sharify, B Al-Attar, ...
    2024 8th International Symposium on Innovative Approaches in Smart … , 2024
    2024
    Citations: 13
  • The Role of Artificial Intelligence in Enhancing English Language Communication and Operational Efficiency in Logistics and Transportation Systems
    LD Miran, W Abduladheem, AF Abdullah, TA Al-Sharify, NUS Ahmed, ...
    2024 8th International Symposium on Multidisciplinary Studies and Innovative … , 2024
    2024
    Citations: 22
  • Machine learning models for optimizing supply chain management
    S Alkubaisi, A Fenjan, TA Al-Sharify, S Sadiq, HB Furaijl, SR Ahmed
    2024 8th International Symposium on Multidisciplinary Studies and Innovative … , 2024
    2024
    Citations: 19
  • High Gain Tapered Slot Antenna Based on Offset Radiation Characteristic for 5G Wireless Applications
    AR Azeez, TA Al-Sharify, O Abdullah, Z Salam, HH Al-khaylani, TA Oleiwi
    2024 4th International Conference on Artificial Intelligence and Signal … , 2024
    2024
    Citations: 5
  • Miniaturized metamaterial antenna for 5.7 GHz services
    BS Bashar, TA Al-Sharify, ZA Rhazali, H Misran, MM Ismail, TA Oleiwi
    2024 4th International Conference on Artificial Intelligence and Signal … , 2024
    2024
    Citations: 4
  • Generative adversarial networks to design metamaterials based nano-photonics devices
    HH Al-Khaylani, TA Al-Sharify, MF Abbas, H Hussein, R Al-Shabandar, ...
    2024 4th International Conference on Artificial Intelligence and Signal … , 2024
    2024
    Citations: 6
  • Deep Learning in Medical Imaging for Early Disease Detection
    SR Ahmed, TA Al-Sharify, TS Hasan, RN Othman, B Al-Attar, NH Shaker, ...
    International Conference on Frontiers of Electronics, Information and … , 2024
    2024
    Citations: 1
  • Developing Deep Learning Algorithms for Adaptive Control in Prosthetics
    ZMA Alabbas, BG Mejbel, AA Abbas, SK Sulaiman, AD Radhi, SR Ahmed, ...
    International Conference on Frontiers of Electronics, Information and … , 2024
    2024
  • Advanced biomedical engineering technology in designing economic low-cost prototype infant incubator using Arduino
    NT Al-Sharify, BM Alameri, M Muhammad, NB Hassan, ZT Al-Sharify, ...
    2ND INTERNATIONAL CONFERENCE ON ENGINEERING AND ADVANCED TECHNOLOGY:(ICEAT … , 2023
    2023
    Citations: 3
  • The future of an intelligent and responsive architecture design after the COVID 19 epidemic
    NAM Aalhashem, KA Al-Kaissi, TT Khaled, TA Al-Sharify, ZT Al-Sharify, ...
    2ND INTERNATIONAL CONFERENCE ON ENGINEERING AND ADVANCED TECHNOLOGY:(ICEAT … , 2023
    2023
    Citations: 3
  • Flow of nanofluids and its theoretical physics
    TA Al-Sharify, ZT Al-Sharify, NT Al-Sharify, MT Al-Sharify, ...
    2ND INTERNATIONAL CONFERENCE ON ENGINEERING AND ADVANCED TECHNOLOGY:(ICEAT … , 2023
    2023
  • Digital architecture and designing architecture space and ITS effect on future life strategy
    NAM Aalhashem, KA Al-Kaissi, TA Al-Sharify, ZT Al-Sharify, RKS Al-Hamd, ...
    2ND INTERNATIONAL CONFERENCE ON ENGINEERING AND ADVANCED TECHNOLOGY:(ICEAT … , 2023
    2023
    Citations: 4
  • Using GIS model to investigate sustainable irrigation techniques from wastewater
    ZT Al-Sharify, ZA Alshrefy, SD Al-Jarjees, H Al-Moameri, TA Al-Sharify, ...
    AIP Conference Proceedings 2787 (1), 090030 , 2023
    2023
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • A critical review on medical imaging techniques (CT and PET scans) in the medical field
    ZT Al-Sharify, TA Al-Sharify, NT Al-Sharify, H Yahya naser
    IOP Conference Series: Materials Science and Engineering 870 (1), 012043 , 2020
    2020.0
    Citations: 110
  • Investigative study on the interaction and applications of plasma activated water (PAW)
    ZT Al-Sharify, TA Al-Sharify, W al-Obaidy, AM al-Azawi
    IOP conference series: materials science and engineering 870 (1), 012042 , 2020
    2020.0
    Citations: 75
  • Removal of Analgesic Paracetamol From Wastewater Using Dried Olive Stone
    FFMA Zainab T Al-Sharify, Lahieb Faisal M A, Talib A Al-Sharify, Noor T Al ...
    International Journal of Mechanical Engineering and Technology 9 (13), 293–299 , 2018
    2018.0
    Citations: 56
  • Possibility of Utilizing from Lemon Peel as a Sorbent in Removing of Contaminant Such as Copper Ions from Simulated Aqueous Solution
    ZTAS Talib A. Al-Sharify Maryam Q. Al-Qaisi, Lahieb Faisal M.A.
    International Journal of Civil Engineering and Technology (IJCIET 9 (11 … , 2018
    2018.0
    Citations: 48
  • A Technical Overview and Comparison between PET and MRI Scanning.
    NT AL-SHARIFY, ZT AL-SHARIFY, TA AL-SHARIFY, MT AL-SHARIFY, ...
    Systematic Reviews in Pharmacy 11 (1) , 2020
    2020.0
    Citations: 37
  • Real-time cloth simulation on virtual human character using enhanced position based dynamic framework technique
    M Abed Mohammed, T A Al-Sharify, H Kolivand
    Baghdad Science Journal 17 (4), 10 , 2020
    2020.0
    Citations: 27
  • The Role of Artificial Intelligence in Enhancing English Language Communication and Operational Efficiency in Logistics and Transportation Systems
    LD Miran, W Abduladheem, AF Abdullah, TA Al-Sharify, NUS Ahmed, ...
    2024 8th International Symposium on Multidisciplinary Studies and Innovative … , 2024
    2024.0
    Citations: 22
  • Theoretical physics to improve radio frequency in 5 generation
    T Al-Sharify, AI Alanssari, MT Al-Sharify, I Raheem Ali
    IOP Conference Series: Materials Science and Engineering 870 (1), 012021 , 2020
    2020.0
    Citations: 22
  • Machine learning models for optimizing supply chain management
    S Alkubaisi, A Fenjan, TA Al-Sharify, S Sadiq, HB Furaijl, SR Ahmed
    2024 8th International Symposium on Multidisciplinary Studies and Innovative … , 2024
    2024.0
    Citations: 19
  • Multimodal Deep Learning for Video Classification
    RI Kadhim, F Al-Mukhtar, AT Guron, AK Shwayaa, TA Al-Sharify, B Al-Attar, ...
    2024 8th International Symposium on Innovative Approaches in Smart … , 2024
    2024.0
    Citations: 13
  • Environmental impact of using geothermal clean energy (heating and cooling systems) in economic sustainable modern buildings architecture design in Iraq: A review
    NAM Aalhashem, ZA Naser, TA Al-Sharify, ZT Al-Sharify, MT Al-Sharify, ...
    AIP Conference Proceedings 2660 (1), 020119 , 2022
    2022.0
    Citations: 12
  • Polymer Resin Modelling for Chemical and Biomedical Purposes
    NT Al-Sharify, HA Hussein, SM Ahmed, TA Al-Sharify, ZT Al-Sharify, ...
    Egyptian Journal of Chemistry 65 (10), 523-529 , 2022
    2022.0
    Citations: 12
  • IoT and E-learning with the impact of COVID 19 pandemic lockdown on the undergraduate university student blood pressure levels
    TA Al-Sharify, ZA Alshrefy, HA Hussein, ZT Al-Sharify, H Onyeaka, ...
    CEUR Workshop Proceedings 3149, 73-86 , 2022
    2022.0
    Citations: 10
  • & Algburi, S.(2024, November). The Role of Artificial Intelligence in Enhancing English Language Communication and Operational Efficiency in Logistics and Transportation Systems
    LD Miran, W Abduladheem, AF Abdullah, TA Al-Sharify, NS Ahmed, ...
    2024 8th International Symposium on Multidisciplinary Studies and Innovative … , 0
    Citations: 9
  • Generative adversarial networks to design metamaterials based nano-photonics devices
    HH Al-Khaylani, TA Al-Sharify, MF Abbas, H Hussein, R Al-Shabandar, ...
    2024 4th International Conference on Artificial Intelligence and Signal … , 2024
    2024.0
    Citations: 6
  • High Gain Tapered Slot Antenna Based on Offset Radiation Characteristic for 5G Wireless Applications
    AR Azeez, TA Al-Sharify, O Abdullah, Z Salam, HH Al-khaylani, TA Oleiwi
    2024 4th International Conference on Artificial Intelligence and Signal … , 2024
    2024.0
    Citations: 5
  • Using GIS model to investigate sustainable irrigation techniques from wastewater
    ZT Al-Sharify, ZA Alshrefy, SD Al-Jarjees, H Al-Moameri, TA Al-Sharify, ...
    AIP Conference Proceedings 2787 (1), 090030 , 2023
    2023.0
    Citations: 5
  • IOMT application designed for patients health monitoring
    MT Al-Sharify, R Smolianinov, TA Al-Sharify
    2ND INTERNATIONAL CONFERENCE ON ENGINEERING AND ADVANCED TECHNOLOGY:(ICEAT … , 2023
    2023.0
    Citations: 5
  • Miniaturized metamaterial antenna for 5.7 GHz services
    BS Bashar, TA Al-Sharify, ZA Rhazali, H Misran, MM Ismail, TA Oleiwi
    2024 4th International Conference on Artificial Intelligence and Signal … , 2024
    2024.0
    Citations: 4
  • Digital architecture and designing architecture space and ITS effect on future life strategy
    NAM Aalhashem, KA Al-Kaissi, TA Al-Sharify, ZT Al-Sharify, RKS Al-Hamd, ...
    2ND INTERNATIONAL CONFERENCE ON ENGINEERING AND ADVANCED TECHNOLOGY:(ICEAT … , 2023
    2023.0
    Citations: 4

Publications

More than 100 papers published, List Of Some Publications

Published in Scopus and Clarivate indexed journals
1. Bashar, B. S., Al-Anssari, A. I., Ismail, M. M., Al-Sharify, T. A., Al-Sharify, M. T., & Pyliavskyi, V. V. (2022, November). Physical properties of test signals to enhance telecommunication paths. In AIP Conference Proceedings (Vol. 2660, No. 1, p. 020011). AIP Publishing
2. Al-Sharify, T.A., Alshrefy, Z.A., Hussein, H.A., Al-Sharify, Z.T., Onyeaka, H., Al-Sharify, M.T., Ghosh, S. (2022). IoT and E-learning with the Impact of COVID 19 Pandemic Lockdown on the Undergraduate University Student Blood Pressure Levels. CEUR Workshop Proceedings, 3149, pp. 73-86.
3. Al-Sharify, Z. T., Jaaf, H. J. M. A., Naser, Z. A. R., Alshrefy, Z. A. I., Al-Sharify, N. T., Al-Sharify, T. A., ... & Miri, T. (2022, November). Validating sustainable water resources and fluid flow by studying phosphorus concentration of Tigris River water in Baghdad. In AIP Conference Proceedings (Vol. 2660, No. 1, p. 020127). AIP Publishing LLC.
4. Aalhashem, N. A., Naser, Z. A., Al-Sharify, T. A., Al-Sharify, Z. T., Al-sharify, M. T., Al-Hamd, R. K. S., & Onyeaka, H. (2022, November). Environmental impact of using geothermal clean energy (heating and cooling systems) in economic sustainable modern buildings architecture design in Iraq: A review. In AIP Conference Proceedings (Vol. 266