Wael Megid | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

ย TISEC- Canada
Wael Megid
Affiliation TISEC
Country Canada
Scopus ID 57194328472
Documents 10
Citations 253
h-index 8
Subject Area Engineering
Event Global Scholar Awards
ORCID 0000-0001-9385-0415

Wael Megid is a civil engineering researcher associated with TISEC in Canada, with scholarly work spanning nondestructive evaluation, structural health monitoring, concrete rheology, and infrastructure assessment. His publication record includes studies on acoustic emission, guided waves, self-consolidating concrete, multilayer casting, surface quality, and engineering diagnostics for practical structural applications today. [2] [3]

Abstract

Wael Megid presents an engineering research profile centered on structural assessment, nondestructive testing, concrete materials, and infrastructure performance. His published work addresses acoustic emission monitoring, guided wave inspection, fatigue crack detection, self-consolidating concrete, rheology, multilayer casting, bond behavior, permeability, and concrete surface quality. Across these themes, his studies connect experimental methods with practical engineering evaluation for bridges, railway components, pressure vessels, tanks, and cementitious systems. The available scholarly record also reflects collaboration across academic and applied settings. With documented publications, citations, and an established h-index, his profile demonstrates sustained contributions relevant to research recognition within engineering and applied infrastructure practice. [3] [4]

Keywords

Acoustic emission, guided waves, nondestructive testing, structural health monitoring, fatigue cracks, railway tracks, self-consolidating concrete, rheology, thixotropy, structural buildup, multilayer casting, bond strength, permeability, flexural strength, workability, static yield stress, lift lines, formwork, concrete surface quality, image processing, segregation, infrastructure assessment, materials characterization, and diagnostics. [3] [4] [5]

Introduction

Wael Megid works across civil engineering domains where material behavior, structural integrity, and technologies intersect. His research includes investigations of concrete workability and thixotropy alongside nondestructive methods for detecting deterioration. This combination supports engineering decisions concerning construction quality, infrastructure monitoring, maintenance planning, and interpretation of structural performance under service conditions. [3] [4]

Research Profile

Wael Megid has a publication profile combining engineering research, applied inspection, and materials characterization. Public records identify doctoral training in civil engineering and professional activity in nondestructive testing. His work links laboratory investigation with field assessment, while Scopus metrics supplied report ten documents, 253 citations, and an h-index of eight. [1] [2]

Research Contributions

Wael Megid has contributed to research on acoustic emission, guided ultrasonic waves, self-consolidating concrete, and structural buildup at rest. His studies examine crack monitoring in steel bridge components, railway track inspection, concrete bond development, transport properties, and surface defects, connecting measurable signals and material behavior with engineering condition assessment methods. [3] [4]

Publications

Wael Megid has authored and coauthored publications addressing fatigue crack monitoring, concrete rheology, multilayer casting, bond strength, and surface quality. Representative works include studies in Engineering Fracture Mechanics, Construction and Building Materials, and ACI journals, with DOI-indexed articles on acoustic emission, self-consolidating concrete behavior, formwork effects, and structural buildup research. [3] [4] [5]

Research Impact

Wael Megid shows measurable scholarly influence through citations to work in structural monitoring, concrete technology, and nondestructive evaluation. Supplied Scopus indicators list 253 citations and an h-index of eight across ten documents. Citation activity around guided waves, acoustic emission, and concrete rheology indicates relevance for infrastructure performance and diagnostic research. [1] [3]

Award Suitability

Wael Megid aligns with Best Researcher Award considerations through peer-reviewed engineering publications, citation impact, methodological diversity, and practical relevance. His research addresses infrastructure safety, structural assessment, construction materials, and nondestructive inspection. These characteristics support evaluation through scholarly contribution, research influence, interdisciplinary application, and usefulness of engineering knowledge in applied settings. [1] [3]

Conclusion

Wael Megid represents an engineering research profile shaped by structural integrity, materials performance, and inspection science. His publications connect concrete rheology and construction behavior with acoustic and ultrasonic diagnostics. Documented citation impact, publication diversity, and applied orientation provide a basis for academic recognition within the Global Scholar Awards evaluation framework. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Wael Megid, Author ID 57194328472. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57194328472
  2. ORCID. (n.d.). Wael A. Megid: ORCID 0000-0001-9385-0415. ORCID Registry.https://orcid.org/0000-0001-9385-0415
  3. Megid, W. A., Chainey, M.-A., Lebrun, P., & Hay, D. R. (2019). Monitoring fatigue cracks on eyebars of steel bridges using acoustic emission: A case study. Engineering Fracture Mechanics, 211, 198โ€“208.https://doi.org/10.1016/j.engfracmech.2019.02.022
  4. Megid, W. A., & Khayat, K. H. (2019). Effect of structural buildup at rest of self-consolidating concrete on mechanical and transport properties of multilayer casting. Construction and Building Materials, 196, 626โ€“636.https://doi.org/10.1016/j.conbuildmat.2018.11.112
  5. Megid, W. A., & Khayat, K. H. (2020). Variations in surface quality of self-consolidating and highly workable concretes with formwork material. Construction and Building Materials, 238, 117638.https://doi.org/10.1016/j.conbuildmat.2019.117638

Chengbiao Tong | Engineering | Research Excellence Award

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Mr. Chengbiao Tong | Engineering | Research Excellence Award

Professor | Hunan Agricultural University | China

Dr. Chengbiao Tong is a researcher at Hunan Agricultural University specializing in intelligent aquaculture, computer vision, and deep-learning-based environmental monitoring. He has contributed a growing body of scientific work, with publications advancing automated recognition systems, image-based analysis, and smart farming technologies. His research has accumulated meaningful citations and demonstrates increasing visibility within the agricultural technology community. Dr. Tong actively collaborates with multidisciplinary teams and co-authors, supporting innovation at the intersection of artificial intelligence and modern aquaculture. His work on YOLO-based detection models, including applications for fish health monitoring, contributes to improving sustainability, efficiency, and early-warning capabilities in aquatic farming systems. Through his research, he promotes data-driven decision-making and enhances the technological transformation of agriculture.

Citation Metrics (Scopus)

40

30

20

10

0

Citations
32

Documents
16

h-index
3
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ย  ย  ย  ย ๐ŸŸฅDocuments
ย  ย  ย ๐ŸŸฉh-index


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Featured Publications

Jia Jinlong | Engineering | Research Excellence Award

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Assoc. Prof. Dr. Jia Jinlong | Engineering | Research Excellence Award

Head of the Mining Department | Wuhan Institute of Technology | China

Dr. Jinlong Jia is a researcher at the Lanzhou Institute of Technology, China, specializing in coal engineering, gas extraction technologies, and energy-related geomechanics with a focus on improving safety, efficiency, and sustainability in coal mining operations. With 24 scientific publications, 434 citations, and an h-index of 12, he has established a strong research profile in the fields of coal pore structure evolution, borehole optimization, and fluidโ€“rock interactions under complex geological conditions. His recent work includes developing numerical simulation models to quantitatively evaluate effect factors in multi-branch pinnate borehole gas extraction in high-gas thick coal seams, and investigating the influence of COโ‚‚โ€“Hโ‚‚O interaction time on coal pore morphology and water migration, published in Energy and already earning citations for its contributions to clean energy and mine safety. Dr. Jiaโ€™s research integrates computational modeling, experimental coal chemistry, and engineering applications to address critical challenges in methane extraction, gas-solid coupling mechanisms, and geological hazard prevention. Over his career, he has collaborated with more than 67 co-authors, demonstrating extensive engagement in multidisciplinary and multi-institutional research teams working across geology, mining engineering, and energy science. His findings contribute to national and global efforts toward safer mining environments, enhanced gas utilization, reduced greenhouse gas emissions, and improved resource recovery efficiency. Through advancing both theoretical understanding and practical solutions in coalbed methane extraction and pore-scale mechanisms, Dr. Jia continues to play a significant role in supporting sustainable energy development and improving engineering practices within the mining and geoscience sectors.

Profile: Scopusย 

Featured Publications

Zhu, X., Jia, J., Zhang, L., Ma, Z., Qin, Z., Zhang, H., & Liu, Z. (2025). Study on the numerical simulation model for quantitative evaluation on effect factors of multiโ€‘branch pinnate borehole gas extraction in highโ€‘gas thick coal seams. Himalayan Geology, 46(2), 125โ€“135.

Xu, H., Hu, J., Liu, H., Ding, H., Zhang, K., Jia, J., Fang, H., & Gou, B. (2024). Effect of the interaction time of COโ‚‚โ€“Hโ‚‚O on the alterations of coal pore morphologies and water migration during wetting. Energy, 294, Article 130944. https://doi.org/10.1016/j.energy.2024.130944

Nokulunga Xolile Mashwama | Engineering | Best Researcher Award

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Prof. Nokulunga Xolile Mashwama | Engineering | Best Researcher Award

Head of Department | Walter Sisulu University | South Africa

Prof. Nokulunga Xolile Mashwama is a South African Associate Professor and registered Quantity Surveyor (SACPCMP-A426/2014 & SACQSP-IT6878) with a distinguished academic and professional trajectory in construction management, dispute resolution, and sustainable infrastructure delivery. She earned her Ph.D. in Quantity Surveying from the University of Johannesburg in 2021, following a Masterโ€™s in Construction Management (2016, Distinction) and a B-Tech in Quantity Surveying (2013) from the same institution, demonstrating a consistent record of academic excellence. Professionally, Dr. Mashwama has engaged in extensive research projects locally and internationally, including JSPS-SA Bilateral and Thuthuka Fund initiatives, contributing significantly to improving service delivery, occupational health and safety, and minimizing construction disputes in Southern Africa. Her research interests encompass construction dispute resolution, public-private partnerships, cost of poor quality, stakeholder management, and sustainable construction practices. She possesses advanced research skills in project evaluation, stakeholder analysis, alternative dispute resolution, occupational health and safety assessment, and infrastructure service delivery analysis. Dr. Mashwama has published over 32 high-quality documents in reputed international journals and conference proceedings, including Springer, IEOM, Procedia Engineering, and Scopus-indexed outlets, presenting her work in global forums across the USA, UK, Europe, and Africa. She has demonstrated leadership through mentorship, community engagement, and active participation in professional bodies such as SACQSP, SACPCMP, IEEE, and Thuthuka-funded initiatives. Her awards and honors include competitive research grants such as the African Research Funding Accelerator and Future Professor Programme, reflecting her scholarly impact and professional recognition. Through her sustained contributions to research, education, and professional practice, Dr. Mashwama is positioned to lead high-impact, internationally recognized projects in construction management, sustainable infrastructure, and stakeholder-driven research, fostering knowledge transfer and innovation in the built environment globally. Her academic influence is supported by 106 citations across 32 documents, with an h-index of 5.

Profiles: Scopus | ORCID

Featured Publications

  1. Mashwama, N. X., & Madubela, B. (2025). Harnessing technology and research innovations for sustainable educational development in Southern Africa. E-Journal of Humanities, Arts and Social Sciences, 2025, Article 647.

  2. Mashwama, N. X. (2025). Innovations in pedagogy and technology for engineering education: A systematic review. Interdisciplinary Journal of Education Research, 7(S1), Article 10.

  3. Mashwama, N. X., & Thwala, D. W. (2025). Educational institutions as catalysts for economic growth in South Africa. E-Journal of Humanities, Arts and Social Sciences, 2025, Article 643.

  4. Mashwama, N. X., Dywili, S., Phaladi, G., & Aigbavboa, C. (2023). The learning curve and benefit of artificial intelligence for the built environment. In Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications (pp. 31).

  5. Mashwama, N. X. (2022). A theoretical assessment of causes for deferred maintenance of public buildings in developing countries: The Kingdom of Eswatini. In 12th International Conference on Construction in the 21st Century (pp. 16โ€“19).

Manthan Patel | Engineering | Best Researcher Award

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Mr. Manthan Patel | Engineering | Best Researcher Award

Masters at Amrita school of engineering, India

Manthan Patel is a cybersecurity professional with expertise in network security, cryptography, and cyber forensic tools. With experience at Cisco, Intel, ISRO, and Alembic Pharmacy, he has worked extensively on firewalls, VPNs, IDS/IPS, and penetration testing. He holds an M.Tech in Cyber Security (8.6 CGPA) and multiple certifications, including CCNP Security and CEH. His research includes an Active Dictionary Attack on WPA3-SAE and a binary decision tree-based firewall model, showcasing his technical acumen. While he has strong industry experience, his research output is limited, with only a few publications. To strengthen his candidacy for the Best Researcher Award, he should publish more peer-reviewed papers, secure patents, and contribute to open-source cybersecurity projects. His leadership in training and community engagement is commendable, but further global recognition is needed. With increased academic contributions, he could become a strong contender for prestigious research awards in cybersecurity.

Professional Profileย 

Education๐ŸŽ“

Manthan Patel holds an M.Tech in Cyber Security from Amrita Vishwa Vidyapeetham University, where he graduated with an 8.6 CGPA in 2021. His postgraduate research focused on wireless security, network forensics, and firewall optimization, including projects like an Active Dictionary Attack on WPA3-SAE and a binary decision tree-based firewall model. Before that, he earned a B.E. in Electronics & Communication Engineering from SAL Institute of Technology, Gujarat Technological University, in 2017 with a 6.9 CGPA. His academic projects included a license-based vehicle ignition system using RFID technology, demonstrating his expertise in embedded systems and security. Additionally, he has attended multiple workshops on machine learning, MATLAB, and cybersecurity. Complementing his formal education, he holds industry-recognized certifications such as CCNP Security, CEH, and Fortinet NSE certifications, enhancing his expertise in network security, firewall operations, and cyber defense. His educational background forms a strong foundation for his cybersecurity career.

Professional Experience ๐Ÿ“

Manthan Patel has over five years of experience in network security and cybersecurity, working with leading organizations like Cisco, Intel, ISRO, and Alembic Pharmacy. Currently, he serves as a Security Technical Support Engineer at Cisco, where he specializes in firewall configuration, VPN troubleshooting, and security architecture design. Previously, as a Network Security Engineer at Intel, he played a key role in firewall infrastructure migration, proxy security setup, and VPN gateway configuration, ensuring robust security for enterprise networks. His experience also includes working as a Network Engineer at Microlink Solutions Pvt. Ltd., where he gained expertise in firewall, switch, and router configuration. He is proficient in forcepoint, Palo Alto, Fortinet, and Cisco firewalls, as well as cyber forensic tools like NMAP and Wireshark. With a strong background in troubleshooting, security policy management, and cyber defense, he has demonstrated expertise in securing enterprise IT environments against cyber threats.

Research Interest๐Ÿ”Ž

Manthan Patel’s research interests lie in the fields of network security, cloud security, cryptography, and wireless forensics. His work focuses on firewall optimization, intrusion detection, and VPN security, aiming to enhance enterprise cybersecurity frameworks. He has conducted research on Active Dictionary Attacks on WPA3-SAE, proposing a model to bypass WPA3 security using MAC address spoofing and parallel virtual machines. Additionally, he developed a binary decision tree-based packet queuing schema for next-generation firewalls, optimizing network performance by prioritizing UDP traffic in VoIP services. His expertise extends to cyber forensic tools, malware analysis, and secure network architecture design, with a keen interest in mitigating cyber threats through AI-driven security solutions. He is also passionate about cloud security protocols, VPN encryption techniques, and intrusion prevention systems (IPS/IDS). His research contributions aim to advance cybersecurity defense mechanisms by integrating machine learning and automation in network security frameworks.

Award and Honor๐Ÿ†

Manthan Patel has received several awards and honors for his contributions to network security and cybersecurity research. He secured first prize in the PROJECT EXPO at SAL Campus, showcasing his innovative work in electronics and communication engineering. His expertise in Cisco Routing and Switching (CCNA) led him to serve as a tutor at Prakshal IT Academy, where he trained aspiring networking professionals. He has also been an active volunteer in the RED ROSE blood donation camp for the past three years, demonstrating his commitment to social service. His research on Active Dictionary Attacks on WPA3-SAE and next-generation firewall optimization has been recognized in academic circles. Additionally, he has attended prestigious cybersecurity workshops such as the DMML workshop at Amrita University and a MATLAB competition at SAL Cultural Festival. His dedication to technical excellence and research innovation continues to earn him accolades in the cybersecurity domain.

Research Skill๐Ÿ”ฌ

Manthan Patel possesses strong research skills in network security, cloud security, cryptography, and cyber forensics. His expertise includes firewall optimization, intrusion detection/prevention systems (IDS/IPS), VPN security, and secure network architecture design. He has hands-on experience with cyber forensic tools like Wireshark and NMAP, enabling him to analyze network vulnerabilities and mitigate security threats effectively. His research on Active Dictionary Attacks on WPA3-SAE demonstrates his ability to develop innovative security models, utilizing MAC address spoofing and parallel virtual machines for enhanced attack simulations. Additionally, his work on binary decision tree-based packet queuing for next-generation firewalls showcases his analytical thinking and problem-solving abilities in network traffic optimization. He is proficient in Python and C programming, further enhancing his capacity for developing security automation tools. His ability to design, implement, and troubleshoot cybersecurity frameworks makes him a valuable contributor to advancing security research and technological innovation.

Conclusion๐Ÿ’ก

  • Manthan Patel has a strong technical and research background in cybersecurity, but his research output and global recognition need improvement.

  • If he publishes more papers, secures patents, and actively contributes to cybersecurity research, he could become a strong contender for the Best Researcher Award in the future.

Publication Top Notedโœ๏ธ

  • Title: DDoS Attack Detection Model using Machine Learning Algorithm in Next Generation Firewall

  • Authors:

    • M. Patel, Manthan

    • P.P. Amritha, P. P.

    • V.B. Sudheer, Vinay B.

    • M. Sethumadhavan, Madathil

  • Citations: 3

Anuj Kumar | Engineering | Best Researcher Award

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Mr. Anuj Kumar | Engineering | Best Researcher Award

Assistant Professor at Management Education & Research Institute, Janakpuri, India

Anuj Kumar is an accomplished academic and researcher in Computer Science & Engineering, currently pursuing a Ph.D. in Image Processing at AKTU, Lucknow. With over a decade of teaching experience at institutions like Guru Gobind Singh Indraprastha University and IIMT College of Engineering, he has significantly contributed to education and research. His expertise spans artificial intelligence, computer graphics, and data structures, complemented by proficiency in programming languages such as Python, C++, and MATLAB. He has published research papers in Scopus-indexed journals, IEEE Explorer, and Elsevier, along with a book chapter on distributed artificial intelligence. Recognized for his contributions, he was awarded at the Smart India Hackathon 2018 and qualified GATE 2012 with an 85.04 percentile. Anuj is actively involved in academic leadership, faculty development, and university assessments. With a commitment to innovation and interdisciplinary research, he aspires to advance computational methodologies and industrial applications in artificial intelligence and image processing.

Professional Profileย 

Education

Anuj Kumar has a strong academic background in Computer Science & Engineering. He is currently pursuing a Ph.D. in Image Processing from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow, Uttar Pradesh, demonstrating his commitment to advanced research. He earned his M.Tech in Computer Science & Engineering from Guru Gobind Singh Indraprastha University, Delhi, in 2014, securing a first division. His undergraduate studies include a B.Tech in Computer Science & Engineering from the Institution of Electronics & Telecommunication Engineers (IETE), Delhi, in 2011, also with first-division honors. Additionally, he holds a Three-Year Diploma in Computer Science & Engineering from IETE, Delhi (2006). His early education was completed under the U.P. Board, where he finished 10th grade (2000) and 12th grade (2003) in the second division. His educational journey, enriched with technical certifications like MCAD (Microsoft Certified Application Developer) in 2006, has laid a strong foundation for his expertise in computing and research.

Professional Experience

Anuj Kumar has extensive academic experience as an Assistant Professor in Computer Science & Engineering, with a teaching career spanning over a decade across prestigious institutions. Since July 2023, he has been serving at MERI College of Engineering and Technology, Haryana. Prior to this, he worked at IIMT College of Engineering, Greater Noida (2022โ€“2023) and Greater Noida Institute of Technology, GGSIPU (2018โ€“2022), where he contributed to curriculum development and research initiatives. He also held academic positions at USIC&T, Guru Gobind Singh Indraprastha University (2017โ€“2018) and Ram-Eesh Institute of Engineering & Technology (2017). Earlier in his career, he served at Baba Saheb Ambedkar Institute of Technology & Management (2014โ€“2016) and The Institution of Electronics & Telecommunication Engineers, Delhi (2011โ€“2012). His vast experience includes mentoring students, conducting faculty development programs, and leading academic audits, showcasing his commitment to education, research, and institutional development.

Research Interest

Anuj Kumar’s research interests lie at the intersection of computer vision, image processing, artificial intelligence, and computational methods. Currently pursuing a Ph.D. in Image Processing, he focuses on developing advanced techniques for image enhancement, noise removal, and forgery detection using deep learning algorithms. His expertise extends to computer graphics, formal language automata, database management systems (DBMS), data structures, and discrete mathematics, which serve as the foundation for his research innovations. He has actively contributed to AI-driven industrial systems, biodiversity assessment using hyperspectral imaging, and disruptive innovations in tech-business analytics. His work has been published in Scopus-indexed journals, IEEE conference proceedings, and reputed international journals, reflecting the impact of his research. Additionally, he explores the applications of distributed artificial intelligence (DAI) for document retrieval, emphasizing intelligent data processing techniques. His dedication to cutting-edge research strengthens his role as a mentor and academician in the field of computer science and engineering.

Award and Honor

Anuj Kumar has been recognized for his academic excellence and research contributions through various awards and honors. He was awarded in the Smart India Hackathon 2018, a prestigious national-level competition promoting innovation and problem-solving skills. Demonstrating strong technical acumen, he qualified GATE 2012 with an impressive 85.04 percentile and a score of 302, showcasing his expertise in computer science and engineering. His achievements extend beyond academics, as he was the runner-up in the 100m race at IETE, New Delhi, in 2005, highlighting his diverse talents. Additionally, he has played a significant role in academia as a convener of the Joint Assessment Committee (JAC) for academic audits, deputy center superintendent for examinations, and university representative in various assessment programs. His dedication to research and education is further reflected in his memberships on editorial boards and professional organizations, solidifying his reputation as a distinguished academic and researcher.

Research Skill

Anuj Kumar possesses a strong research skillset that spans multiple domains within computer science and engineering, particularly in image processing, artificial intelligence, and computational methods. His expertise in deep learning, fuzzy techniques, and hyperspectral imaging enables him to develop innovative solutions for image enhancement, noise removal, and forgery detection. He is proficient in Python, MATLAB, C++, and various database management systems (DBMS), which support his research in data analysis, automation, and intelligent computing. His ability to critically analyze complex problems, design experiments, and implement advanced algorithms has led to multiple Scopus-indexed publications, IEEE conference presentations, and book chapters. Additionally, his role in academic audits, faculty development programs, and technical training workshops demonstrates his leadership in research and education. His strong analytical thinking, problem-solving capabilities, and hands-on approach to emerging technologies make him a highly skilled researcher in the field of computer vision and artificial intelligence.

Conclusion

Anuj Kumar has a strong academic foundation, technical expertise, and a growing research portfolio in computer science and engineering. His contributions to image processing, artificial intelligence, and industrial automation position him as a promising candidate for the Best Researcher Award. However, enhancing high-impact publications, research collaborations, and funding contributions would further strengthen his profile for this recognition.

Publications Top Noted

  • P., Jaidka, Preeti, P., Upadhyay, Prashant, A., Kumar, Aman, A.S., Kumar, Anuj Shiva, S.P., Yadav, Satya Prakash (2024). Transforming Coconut Farming with Deep Learning Disease Detection. Evergreen. Citations: 0

  • D., Sharma, Deepak, A.S., Kumar, Anuj Shiva, N., Tyagi, Nitin, S.S., Chavan, Sunil S., S.M.P., Gangadharan, Syam Machinathu Parambil (2024). Towards intelligent industrial systems: A comprehensive survey of sensor fusion techniques in IIoT. Measurement: Sensors. Citations: 3

  • S., Singh, Sandeep, B.K., Singh, B. K., A.S., Kumar, Anuj Shiva (2024). Multi-organ segmentation of organ-at-risk (OAR’s) of head and neck site using ensemble learning technique. Radiography. Citations: 3

  • R., Naz, Rahat, A.S., Kumar, Anuj Shiva (2024). Surveying Quantum-Proof Blockchain Security: The Era of Exotic Signatures. Conference Paper. Citations: 1

 

Mehdi Mohajeri | Engineering | Best Researcher Award

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Dr. Mehdi Mohajeri | Engineering | Best Researcher Award

Ph.D. Graduate at Amirkabir Univ. of Technology (Tehran Polytechnic), Iran

Mehdi Mohajeri is a Ph.D. candidate in Construction Management and Engineering at Amirkabir University of Technology, Tehran, Iran. His research focuses on construction safety, risk assessment, and the application of advanced decision-making techniques to improve safety culture and reduce hazards in high-rise construction projects. With a strong academic foundation and multiple published works, he has contributed to the development of methodologies such as fuzzy multi-criteria decision-making (FMCDM), Bayesian networks, and fuzzy failure mode and effect analysis (FFMEA). Mehdi also serves as a Graduate Teaching Assistant, demonstrating his commitment to both research and education. His work plays a crucial role in enhancing safety practices in the construction industry, and he continues to explore new solutions to address challenges in the field.

Professional Profile

Education

Mehdi Mohajeri holds a Bachelorโ€™s degree in Civil Engineering from Islamic Azad University Kerman Branch (2003-2007). He pursued a Masterโ€™s degree in Civil Engineering with a specialization in HSE (Health, Safety, and Environmental) Engineering at Amirkabir University of Technology, Tehran, Iran, completing it in 2013. Currently, he is working toward his Ph.D. in Construction Management and Engineering at Amirkabir University of Technology, where he has been researching under the supervision of Dr. Abdollah Ardeshir since 2016. His doctoral studies focus on improving safety measures and assessing risks in the construction industry using innovative decision-making methods, further building upon his educational background in civil engineering and safety management.

Professional Experience

Mehdi Mohajeri has been a Graduate Teaching Assistant at Amirkabir University of Technology since 2018, where he supports students in construction management courses and contributes to the academic environment. His teaching role reflects his passion for both research and knowledge sharing. In his research career, Mehdi has published multiple influential journal articles related to safety culture, risk assessment, and decision-making models in construction. He has collaborated with experts to analyze construction safety risks using methods like AHP-DEA and FFMEA. His work has been published in well-regarded journals, contributing valuable insights to the field of construction safety. Additionally, Mehdi is actively involved in preparing manuscripts for publication, exploring causality patterns in safety-related incidents and the influence of safety supervisors on construction workers’ behavior.

Research Interests

Mehdi Mohajeriโ€™s primary research interests lie in construction safety, risk assessment, and the application of advanced decision-making models in the construction industry. He focuses on improving safety culture and reducing hazards, particularly in high-rise construction projects, using innovative approaches like fuzzy multi-criteria decision-making (FMCDM), Fuzzy Failure Mode and Effect Analysis (FFMEA), and Bayesian networks. Mehdi is also exploring causality patterns of safety-related incidents in construction, with a keen interest in understanding the influence of safety supervisors on workers’ cognitive behavior and safety performance. His work aims to enhance safety management practices and ensure the well-being of workers in high-risk construction environments, contributing to the broader field of civil engineering and construction management.

Awards and Honors

Although Mehdi Mohajeriโ€™s CV does not list specific awards and honors, his academic and professional achievements, including multiple published journal articles in high-impact journals, reflect his excellence in research. His recognition comes through his impactful work in safety management within the construction industry. He has been involved in several prestigious projects and collaborations with experts in the field, contributing to safety advancements. Additionally, his role as a Graduate Teaching Assistant highlights his commitment to education and his recognition as a skilled and knowledgeable individual in his field. The focus of his work continues to be acknowledged by the academic and professional community, further cementing his reputation as a leading researcher in construction safety and risk management.

Publications Top Noted

  • Title: Assessment of safety culture among job positions in high-rise construction: a hybrid fuzzy multi criteria decision-making (FMCDM) approach
    Authors: A. Ardeshir, M. Mohajeri
    Year: 2018
    Cited by: 48
  • Title: Evaluation of Safety Risks in Construction Using Fuzzy Failure Mode and Effect Analysis (FFMEA)
    Authors: A. Ardeshir, M. Mohajeri, M. Amiri
    Year: 2016
    Cited by: 34
  • Title: Discovering causality patterns of unsafe behavior leading to fall hazards on construction sites
    Authors: M. Mohajeri, A. Ardeshir, M.T. Banki, H. Malekitabar
    Year: 2022
    Cited by: 29
  • Title: Structural model of internal factors influencing the safety behavior of construction workers
    Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar, S. Rowlinson
    Year: 2021
    Cited by: 25
  • Title: Diagnostic intervention program based on construction workers’ internal factors for persistent reduction of unsafe behavior
    Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar
    Year: 2023
    Cited by: 23
  • Title: Safety risk assessment in mass housing projects using combination of Fuzzy FMEA, Fuzzy FTA and AHP-DEA
    Authors: A. Ardeshir, M. Amiri, M. Mohajeri
    Year: 2013
    Cited by: 14
  • Title: Analysis of Construction Safety Risks Using AHP-DEA Integrated Method
    Authors: M. Mohajeri, A. Ardeshir
    Year: 2016
    Cited by: 11
  • Title: Ranking main causes of falling from height hazard in high-rise construction projects
    Authors: M. Mohajeri, M. Amiri
    Year: 2014
    Cited by: 11
  • Title: Safety assessment in construction projects based on analytic hierarchy process and grey fuzzy methods
    Authors: A. Ardeshir, M. Mohajeri, M. Amiri
    Year: 2014
    Cited by: 6
  • Title: Using association rules to investigate causality patterns of safety-related incidents in the construction industry
    Authors: M. Mohajeri, A. Ardeshir, M.T. Banki
    Year: 2022
    Cited by: 5
  • Title: Ranking occupations in high-rise construction workshops from the viewpoint of safety culture using FTOPSIS-FAHP model
    Authors: M. Amiri, M. Mohajeri
    Year: 2017
    Cited by: Not available

Giada Kyaw Oo D’Amore | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Dr. Giada Kyaw Oo D’Amore | Engineering | Best Researcher Award

Assegnista da Ricerca at Universitร  di Trieste, Italy

Giada Kyaw Oo Dโ€™Amore is an esteemed researcher and professor in the field of industrial engineering, with a special focus on marine, mechanical, and energy engineering. She currently serves as a Professor on Contract at the University of Trieste and as a Research Fellow at the same institution. Over the years, Giada has demonstrated expertise in various engineering areas, including noise reduction technologies and metamaterials for marine applications. She has also worked in the industry as a Project Leader at Phononic Vibes s.r.l., contributing to national and international research projects. Giadaโ€™s research is widely published in prominent journals, and she holds several leadership positions, including guest editor roles for renowned journals. Her work continues to contribute to innovative solutions for sustainable engineering practices, particularly in marine and environmental applications.

Professional Profile

Education

Giada Kyaw Oo Dโ€™Amore holds a PhD in Industrial Engineering from the University of Trieste, specializing in mechanical, marine, energy, and production engineering. She completed her doctoral research from November 2018 to March 2022, deepening her expertise in advanced engineering solutions. Additionally, Giada earned a Masterโ€™s degree in Marine Engineering from the University of Trieste in 2018. This solid educational foundation has enabled her to combine theoretical knowledge with practical applications, particularly in marine and environmental engineering contexts. Her education has been pivotal in shaping her research contributions and professional pursuits.

Professional Experience

Giada Kyaw Oo Dโ€™Amore has an extensive professional background, with roles spanning academia and industry. She has been serving as a Professor on Contract at the University of Trieste since 2021, where she teaches and leads research projects. From 2023 to present, she has also held the position of Research Fellow at the university, focusing on innovative engineering applications. Giada’s industry experience includes a leadership role at Phononic Vibes s.r.l., a spin-off from Politecnico di Milano, where she led R&D projects for national and international calls. She began her career as a Junior R&D Developer at Materialscan s.r.l., a spin-off of the University of Trieste. Her professional work encompasses significant contributions to the fields of acoustic engineering, material science, and noise reduction technologies.

Awards and Honors

Giada Kyaw Oo Dโ€™Amore has garnered recognition for her groundbreaking work in marine and environmental engineering. Her contributions have been widely acknowledged, particularly in the realm of noise reduction technologies and the application of metamaterials for soundproofing in marine systems. In addition to her academic accolades, Giada has held various esteemed positions, including guest editor for renowned journals like Applied Sciences, where she edited special issues on engineering applications and finite element methods. Her work has also been featured in numerous leading international conferences and publications, underlining her impact on the field. Giadaโ€™s commitment to research excellence and her role in advancing sustainable engineering practices have earned her respect within the academic and industrial communities.

Research Interest

Giada Kyaw Oo Dโ€™Amoreโ€™s research interests lie at the intersection of industrial engineering, marine engineering, and energy sustainability. She focuses primarily on the development of innovative technologies for noise reduction and the application of metamaterials to improve acoustic performance, particularly in marine environments. Her research also delves into the optimization of after-treatment systems to reduce ships’ acoustic footprints and environmental impact. Giadaโ€™s expertise extends to numerical simulations, finite element analysis, and computational fluid dynamics, which she uses to model and optimize complex engineering systems. She is particularly interested in creating multifunctional solutions, such as marine scrubbers, that address both emission control and acoustic challenges. Her work is committed to advancing sustainable engineering solutions that minimize environmental and acoustic pollution in the marine sector.

Publications Top Noted

  • Title: A Design-Oriented Model for Transmission Loss Optimization in Marine DOCs
    Authors: Kaลกpar, J., Mauro, F., Biot, M., Rognoni, G., Kyaw Oo Dโ€™Amore, G.
    Year: 2024
    Citations: 0
  • Title: Application of Modal Analysis for the Vibrational Comfort Investigation on Board Ships: a Case Study
    Authors: Rognoni, G., Maลพeika, P., Dโ€™Amore, G.K.O., Djaฤkov, V., Biot, M.
    Year: 2024
    Citations: 0
  • Title: Numerical study on modelling perforated elements using porous baffle interface and porous region
    Authors: Kyaw Oo Dโ€™Amore, G., Mauro, F.
    Year: 2023
    Citations: 5
  • Title: Integration and optimization of the after-treatments systems to reduce the acoustic footprint of the ships
    Authors: Kyaw Oo D’Amore, G., Morgut, M., Biot, M., Mauro, F., Kaลกpar, J.
    Year: 2023
    Citations: 2
  • Title: Investigation on the Impact of a Metamaterial Solution for the Mitigation of Noise Radiated by a Ship Panel
    Authors: Rognoni, G., Dโ€™amore, G.K.O., Brocco, E., Moro, L., Biot, M.
    Year: 2023
    Citations: 1
  • Title: Acoustic black holes: The new frontier for soundproofing on board ships
    Authors: Dโ€™Amore, G.K.O., Rognoni, G., Biot, M., Mauro, F.
    Year: 2023
    Citations: 1
  • Title: A Preliminary Study of a Multifunctional DOC/Wet-Scrubber Capable to Reduce both Chemical and Acoustic Emissions in Marine Field
    Authors: Kyaw Oo Dโ€™Amore, G., Kaลกpar, J.
    Year: 2023
    Citations: 0
  • Title: A Numerical Method to Fit the Need of a Straightforward Characterization of Viscoelastic Materials for Marine Applications
    Authors: Rognoni, G., Kyaw Oo D’Amore, G., Brocco, E., Biot, M.
    Year: 2022
    Citations: 1
  • Title: A Combined CFD-FEM Approach to Evaluate Acoustic Performances of an Integrated Scrubber-Silencer for Marine Applications
    Authors: Kyaw Oo D’Amore, G., Mauro, F., Morgut, M., Rognoni, G., Biot, M.
    Year: 2022
    Citations: 1
  • Title: A Metamaterial Solution for Soundproofing on Board Ship
    Authors: Kyaw Oo Dโ€™Amore, G., Caverni, S., Biot, M., Rognoni, G., Dโ€™alessandro, L.
    Year: 2022
    Citations: 5

Tharindu Madhushanka | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Mr. Tharindu Madhushanka | Engineering | Best Researcher Award

Engineer at Browns Engineering and Construction, Sri Lanka

Mr. Tharindu Indunil Madhushanka is a promising researcher and civil engineering professional from the University of Moratuwa, Sri Lanka. He holds a Master of Science in Civil Engineering, with a focus on using artificial intelligence for flood forecasting, specifically in the Polonnaruwa region. His research integrates machine learning techniques such as LSTM, ANN, and Transformer models to predict water levels using meteorological and hydrological data. Tharindu has also contributed to sustainable construction through his undergraduate research on the thermal performance and embodied energy of precast panel buildings. His academic achievements include a GPA of 3.54 in Civil Engineering and notable publications, including a paper in the Journal of Hydrologic Engineering. He has gained hands-on experience in both teaching and industry, having worked as an instructor and research assistant at the University of Moratuwa and a trainee civil engineer. Tharindu is dedicated to advancing AI applications in civil engineering for disaster management and sustainability.

Professional Profile

Education

Mr. Tharindu Indunil Madhushanka has a strong educational background in civil engineering, having completed his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, where he graduated with a second-class upper division and a GPA of 3.54 out of 4.2. His undergraduate studies provided him with a solid foundation in engineering principles and practices. He further pursued a Master of Science at the same university, beginning in November 2022, with a research focus on utilizing artificial intelligence to forecast floods, particularly in the Polonnaruwa region of Sri Lanka. Under the guidance of Prof. M.T.R. Jayasinghe, his postgraduate research aims to develop machine learning models for predicting water levels using meteorological and hydrological data. This interdisciplinary approach bridges civil engineering and AI, reflecting his commitment to advancing both fields. His studies are set to culminate in July 2024, contributing valuable insights to flood risk management.

Professional Experience

Mr. Tharindu Indunil Madhushanka has gained valuable professional experience through both academic and industry roles. As a research assistant at the Department of Civil Engineering, University of Moratuwa, he contributed to various engineering modules, including Mechanics, Structural Mechanics, and the Design of Large Structures. His responsibilities included assisting in teaching and providing support for courses such as Building Construction & Materials and Design of Masonry and Timber Structures. Additionally, Tharindu worked as an instructor in the Department of Computer Science Engineering, teaching Programming Fundamentals from June to September 2024. His industry experience includes serving as a trainee civil engineer at RR Construction (Pvt) Ltd, where he was involved in significant projects such as the Mahaweli Water Security Investment Program. These projects, including the Minipe Left Bank Canal Rehabilitation and North-Western Province Canal Project, provided him with hands-on experience in large-scale civil engineering works, enhancing his practical skills.

Research Interest

Mr. Tharindu Indunil Madhushankaโ€™s research interests lie at the intersection of civil engineering and artificial intelligence, with a focus on disaster risk management and sustainable construction. His primary research area is the use of machine learning techniques, particularly deep learning models like LSTM, ANN, and Transformer, to forecast floods and predict water levels in flood-prone regions, such as Polonnaruwa, Sri Lanka. By utilizing meteorological and hydrological data, Tharindu aims to enhance flood prediction systems, providing valuable insights for mitigating the impacts of natural disasters. Additionally, he is interested in sustainable building practices, as demonstrated by his undergraduate research on the thermal performance and embodied energy of precast panel buildings. Tharinduโ€™s work seeks to improve the environmental efficiency of construction materials and methods, making buildings more energy-efficient over their life cycles. His research reflects his commitment to advancing both AI applications and sustainability within the civil engineering field.

Award and Honor

Mr. Tharindu Indunil Madhushanka has achieved notable academic recognition throughout his educational journey. He graduated with a second-class upper division in his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, with a commendable GPA of 3.54 out of 4.2. This achievement underscores his strong academic performance and dedication to his studies. Tharindu has also earned recognition for his research contributions, particularly in the field of flood forecasting using artificial intelligence. His publication, “Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning,” in the Journal of Hydrologic Engineering, demonstrates the impact of his work on flood management. Although his H-index is currently 1, it reflects his emerging influence in the research community. Tharinduโ€™s research on sustainable building practices, including the thermal performance of precast panel buildings, has been presented at international conferences, further highlighting his growing recognition within the civil engineering and AI research communities.

Conclusion

Tharindu Indunil Madhushanka demonstrates a strong foundation in innovative, interdisciplinary research, particularly in leveraging artificial intelligence for flood forecasting and sustainable building practices. His academic achievements, technical expertise, and impactful research in disaster management are highly commendable.

Publications Top Noted

  • Title: Multi Day Ahead Flood Prediction in South Asian Tropical Zone Using Deep Learning
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: 1
  • Title: Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Journal: Journal of Hydrologic Engineering 30 (1), 04024054
    Year: 2025
    Cited by: Not available
  • Title: Behavior of LSTM and Transformer Deep Learning Models in Flood Simulation Considering South Asian Tropical Climate
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Year: 2024
    Cited by: Not available
  • Title: Transformer & LSTM Based Models for Multi-Day Ahead Flood Prediction in Tropical Climates
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4746297
  • Title: Flood Prediction for Tropical Climates Using LSTM and Transformer Machine Learning Models
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4736261
  • Title: LONG SHORT-TERM MEMORY (LSTM) & FEEDFORWARD ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD PREDICTION
    Authors: G.W.T.I. Madhushanka, M.T.R. Jayasinghe, R.A. Rajapakse
    Event: Proceedings of the 14th International Conference on Sustainable Built โ€ฆ
    Year: 2023
    Cited by: Not available
  • Title: Thermal Performance of Precast Panel Buildings
    Authors: G Madhushanka, SS Bandaranayaka, MTR Jayasinghe, H Herath
    Event: University of Ruhuna
    Year: 2023
    Cited by: Not available

Yasser Elsharkawy | Engineering | Best Innovation Award

Published on by Global Scholar Awards

Prof Dr. Yasser Elsharkawy | Engineering | Best Innovation Award

Prof at optoelectronics department at Military technical college, Egypt

Prof. Yasser El-Sharkawy is a leading figure in optoelectronics and biomedical engineering, with a specialization in biophotonics. Based at the Military Technical College, his pioneering work in hyperspectral imaging has made significant contributions to the fields of medical diagnostics and security technologies. ๐ŸŒŸ His research combines cutting-edge science with real-world applications, especially in healthcare and safety.

Professional profile

Education๐Ÿ“š

Prof. El-Sharkawy has an extensive background in optoelectronics and biophotonics, underpinned by rigorous academic training in engineering. His educational path, focused on the application of light-based technologies in biomedicine, has equipped him with advanced expertise in hyperspectral imaging for diagnostic purposes and beyond. ๐ŸŽ“๐Ÿ“š

Professional Experience๐Ÿ›๏ธ

As a professor at the Military Technical College, Prof. El-Sharkawy has played a key role in advancing biophotonics research. He has led significant projects in optoelectronics, and has collaborated on interdisciplinary research in both medical diagnostics and remote sensing. His leadership and teaching have helped train the next generation of engineers and researchers in these emerging technologies. ๐Ÿ‘จโ€๐Ÿซ๐Ÿ’ก

Research Interest๐Ÿ†

His research focuses on hyperspectral imaging, with applications ranging from cancer diagnosis to vascular imaging and the detection of explosive materials. Prof. El-Sharkawyโ€™s work demonstrates the potential of biophotonics in improving healthcare outcomes and enhancing security technologies. His interests lie in the intersection of technology and medicine, pushing the boundaries of what is possible in medical imaging and public safety. ๐Ÿ”ฌ๐Ÿ“ˆ

Award and Honor

Prof. El-Sharkawy’s contributions to biophotonics and hyperspectral imaging have earned him significant recognition in academic and professional circles. His research on breast cancer diagnosis and tissue characterization is widely cited, reflecting the impact of his work. Additionally, his leadership at the Military Technical College has further established his role as a key figure in optoelectronics and biomedical engineering. ๐Ÿ†๐ŸŒ

Achievements๐Ÿ› ๏ธ

  • Pioneering Research in Hyperspectral Imaging: Developed advanced hyperspectral imaging techniques for medical diagnostics, including breast cancer detection and vascular imaging. ๐ŸŒŸ๐Ÿ”ฌ
  • Highly Cited Publication: His work on hyperspectral imaging for breast cancer diagnosis (2020) has received 71 citations, demonstrating the significant impact of his research in the medical field. ๐Ÿ“ˆ
  • Interdisciplinary Research: Applied hyperspectral imaging for remote sensing in security, particularly in detecting explosive materials, contributing to both healthcare and safety technologies. ๐Ÿš€
  • Leadership in Optoelectronics and Biophotonics: Served as a professor at the Military Technical College, leading key projects in optoelectronics and training future engineers in cutting-edge technologies. ๐Ÿ‘จโ€๐Ÿซ๐Ÿ’ก
  • Collaboration Across Disciplines: Worked on projects combining biophotonics and public safety, advancing knowledge in fields such as tissue characterization and remote recognition of materials. ๐ŸŒ
  • Published in High-Impact Journals: Authored influential papers in Photodiagnosis and Photodynamic Therapy, Remote Sensing Applications, and other respected journals, receiving widespread academic recognition. ๐Ÿ“š๐Ÿ…
  • Innovative Medical Applications: His research has practical implications, particularly in improving phlebotomy procedures and liver thermal ablation, pushing the boundaries of non-invasive medical imaging. ๐Ÿฅ
  • Security Technology Advancements: Contributed to enhancing public safety through remote detection of explosives using hyperspectral imaging, demonstrating the versatility of his expertise. ๐Ÿ›ก๏ธ
  • Continued Growth: His recent research on corruption-poverty nexus and government effectiveness expands his work into socio-political issues, reflecting an evolving research focus. ๐Ÿ“–
Publications top noted๐Ÿ“œ
  1. The potentials of nonlinear polarization with hyperspectral imaging of RNA for hepatocellular carcinoma early diagnosis
    • El-Sharkawy, Y.H., Elbasuney, S., Radwan, S.M., Rizk, S.H., El-Sayyad, G.S.
    • Egyptian Journal of Medical Human Genetics, 25(1), 70
    • 0 citations ๐ŸŒŸ
  2. Multi-wavelength interference phase imaging for automatic breast cancer detection and delineation using diffuse reflection imaging
    • Mahmoud, A., El-Sharkawy, Y.H.
    • Scientific Reports, 14(1), 415
    • 2 citations ๐Ÿ”ฌ
  3. Advancements in non-invasive hyperspectral imaging: Mapping blood oxygen levels and vascular health for clinical and research applications
    • El-Sharkawy, Y.H.
    • Vascular Pharmacology, 155, 107380
    • 1 citation ๐Ÿฉบ
  4. Detection and classification of floating and submerged polluted targets at turbid water using remote sensing hyperspectral imaging
    • Mahmoud, A., Elrewainy, A., El-Sharkawy, Y.H.
    • Journal of the Indian Society of Remote Sensing, 52(6), 1183โ€“1200
    • 0 citations ๐ŸŒŠ
  5. Instant plastic waste detection on shores using laser-induced fluorescence and associated hyperspectral imaging
    • Mahmoud, A., El-Sharkawy, Y.H.
    • Optical and Quantum Electronics, 56(5), 780
    • 1 citation ๐ŸŒ
  6. Novel laser-induced linear polarization for facile diagnosis of hepatocellular carcinoma
    • El-Sharkawy, Y.H., Elbasuney, S., Radwan, S.M., Soula, M.A., El-Sayyad, G.S.
    • Optical and Quantum Electronics, 56(5), 709
    • 0 citations ๐Ÿงฌ
  7. A novel visible and near-infrared hyperspectral imaging platform for automated breast-cancer detection
    • Youssef, A., Moa, B., El-Sharkawy, Y.H.
    • Photodiagnosis and Photodynamic Therapy, 46, 104048
    • 0 citations ๐Ÿฉป
  8. Enhancing automatic inspection and characterization of carbon fiber composites through hyperspectral diffuse reflection analysis and k-means clustering
    • Mahmoud, A., Kassem, M., Elrewainy, A., El-Sharkawy, Y.H.
    • International Journal of Advanced Manufacturing Technology, 131(9-10), 4935โ€“4951
    • 0 citations ๐Ÿญ
  9. Automated hyperspectral imaging for non-invasive characterization of human eye vasculature: A potential tool for ocular vascular evaluation
    • El-Sharkawy, Y.H.
    • Experimental Eye Research, 240, 109792
    • 1 citation ๐Ÿ‘๏ธ
  10. Non-invasive diffused reflected/transmitted signature accompanied with hyperspectral imaging for breast cancer early diagnosis
    • El-Sharkawy, Y.H., Elbasuney, S., Radwan, S.M.
    • Optics and Laser Technology, 169, 110151
    • 2 citations