Hussain A. Younis | Computer Science | Best Researcher Award

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Mr. Hussain A. Younis | Computer Science | Best Researcher Award

College of Education at University of Basrah, Iraq

Hussain A. Younis is a dedicated researcher specializing in Artificial Intelligence, Security, Digital Image Processing, and Robotics. With a strong academic background from India and Malaysia and an affiliation with the University of Basrah, he has published impactful research in high-ranking journals and IEEE conferences. His work demonstrates interdisciplinary expertise, particularly in AI applications, human-robot interaction, and digital security. As an active IEEE member and potential reviewer, he is engaged in professional research communities. While his contributions are commendable, completing his Ph.D., increasing Q1/Q2 journal publications, securing research grants, and enhancing international collaborations would further strengthen his research profile. His growing citation impact and involvement in digital transformation research make him a strong candidate for the Best Researcher Award. With continued contributions in leadership, industry collaborations, and high-impact research, Hussain A. Younis is well-positioned to make significant advancements in the field of computer science and engineering.

Professional ProfileĀ 

Education

Hussain A. Younis has a strong academic background in computer science, with a Masterā€™s degree earned in 2012 from India and ongoing Ph.D. studies since 2019 in Malaysia. His educational journey reflects a commitment to advanced research in Artificial Intelligence, Security, Digital Image Processing, and Robotics. His affiliation with the University of Basrah further strengthens his academic and research foundation, allowing him to contribute significantly to the field. Throughout his studies, he has focused on interdisciplinary research, exploring innovative solutions in AI-driven security systems, pattern recognition, and human-robot interaction. His academic pursuits have been complemented by active participation in professional organizations like IEEE, where he is a member and a prospective reviewer. While his research credentials are impressive, completing his Ph.D. will further solidify his expertise and credibility. His educational background positions him as a promising researcher with the potential to make impactful contributions to the scientific community.

Professional Experience

Hussain A. Younis has extensive professional experience in research and academia, with a focus on Artificial Intelligence, Security, Digital Image Processing, and Robotics. He is affiliated with the University of Basrah, where he contributes to both teaching and research in computer science. His work spans various interdisciplinary areas, including AI-driven security systems, pattern recognition, and human-robot interaction. As an IEEE member, he actively participates in academic conferences and serves as a prospective reviewer, further demonstrating his engagement in the global research community. His publications in high-impact journals and IEEE conferences highlight his contributions to advancing technology, particularly in robotics education, cybersecurity, and digital transformation. While his professional experience is commendable, taking on leadership roles in research projects, securing grants, and fostering international collaborations would further enhance his impact. His commitment to innovation and academic excellence makes him a valuable contributor to the scientific and technological landscape.

Research Interest

Hussain A. Younis’s research interests lie at the intersection of Artificial Intelligence, Security, Digital Image Processing, Pattern Recognition, and Robotics. His work explores innovative AI-driven solutions for enhancing security, improving human-robot interaction, and advancing digital transformation. He is particularly interested in speech recognition models, robotics in education, and secure cryptographic systems, contributing to cutting-edge developments in these fields. His research also addresses challenges in cybersecurity, focusing on encryption techniques and stream cipher systems to enhance data protection. Additionally, he investigates distinguishable patterns in image processing, applying AI techniques to optimize pattern recognition for various applications. Through his active participation in IEEE conferences and high-impact journal publications, he continuously contributes to technological advancements. His interdisciplinary approach and commitment to innovation position him as a promising researcher in AI and security, with the potential to make significant contributions to both academic research and real-world applications.

Award and Honor

Hussain A. Younis has been recognized for his contributions to research in Artificial Intelligence, Security, Digital Image Processing, and Robotics through various academic achievements and honors. His publications in high-impact journals and IEEE conferences reflect his dedication to advancing knowledge in these fields. As an active IEEE member, he has gained recognition within the global research community and has been invited to serve as a reviewer for IEEE conferences in Iraq. His work on robotics in education, cybersecurity, and encryption systems has earned significant attention, highlighting his expertise in interdisciplinary research. While his achievements are commendable, securing prestigious research grants, international fellowships, and industry collaborations would further enhance his profile. His commitment to innovation and scientific excellence makes him a strong contender for research awards, and with continued contributions, he is poised to receive greater recognition for his impact on the technological and academic landscape.

Research Skill

Hussain A. Younis possesses strong research skills in Artificial Intelligence, Security, Digital Image Processing, Pattern Recognition, and Robotics. His expertise lies in developing AI-driven solutions for security, speech recognition, and human-robot interaction, showcasing his ability to integrate multiple disciplines. He is proficient in data analysis, algorithm development, cryptographic security, and digital transformation technologies, enabling him to conduct high-quality research with practical applications. His experience in publishing in high-impact journals and IEEE conferences reflects his ability to conduct rigorous academic research and communicate findings effectively. As an active IEEE member and prospective reviewer, he demonstrates critical analysis and evaluation skills essential for scholarly contributions. Additionally, his research involves problem-solving, programming, and system design, particularly in robotics education and cybersecurity. To further enhance his research impact, focusing on international collaborations, advanced machine learning techniques, and securing research grants would strengthen his expertise and academic contributions.

Conclusion

Hussain A. Younis demonstrates strong research potential with impactful publications in AI, Robotics, and Security. His IEEE membership, interdisciplinary research, and international exposure make him a strong candidate for the Best Researcher Award. However, completing the Ph.D., increasing high-impact publications, and engaging in leadership roles would significantly enhance his eligibility for this prestigious award.

Publications Top Noted

  1. Hussain A. Younis, TAE Eisa, M Nasser, TM Sahib, AA Noor, OM Alyasiri, … (2024)

    • A systematic review and meta-analysis of artificial intelligence tools in medicine and healthcare: applications, considerations, limitations, motivation and challenges
    • Citations: 114

  2. Hussain A. Younis, NIR Ruhaiyem, W Ghaban, NA Gazem, M Nasser (2023)

    • A systematic literature review on the applications of robots and natural language processing in education
    • Citations: 48

  3. IM Hayder, TA Al-Amiedy, W Ghaban, F Saeed, M Nasser, GA Al-Ali, HA Younis, … (2023)

    • An intelligent early flood forecasting and prediction leveraging machine and deep learning algorithms with advanced alert system
    • Citations: 40

  4. OM Alyasiri, K Selvaraj, Hussain A. Younis, TM Sahib, MF Almasoodi, IM Hayder (2024)

    • A survey on the potential of artificial intelligence tools in tourism information services
    • Citations: 38

  5. S Salisu, NIR Ruhaiyem, TAE Eisa, M Nasser, F Saeed, HA Younis (2023)

    • Motion capture technologies for ergonomics: A systematic literature review
    • Citations: 25

  6. IM Hayder, GANA Ali, Hussain A. Younis (2023)

    • Predicting reaction based on customer’s transaction using machine learning approaches
    • Citations: 20

  7. Hussain A. Younis, ASA Mohamed, R Jamaludin, MNA Wahab (2021)

    • Survey of robotics in education, taxonomy, applications, and platforms during COVID-19
    • Citations: 20

  8. OM Alyasiri, AM Salman, S Salisu (2024)

    • ChatGPT revisited: Using ChatGPT-4 for finding references and editing language in medical scientific articles
    • Citations: 18

  9. Hussain A. Younis, OM Alyasiri, Muthmainnah, TM Sahib, IM Hayder, S Salisu, … (2023)

    • ChatGPT Evaluation: Can It Replace Grammarly and Quillbot Tools
    • Citations: 16

  10. MA Hussain, Hussain A. Younis, Iznan H. Hasbullah, Ghofran Kh. Shraida, Hameed A … (2023)

  • An Efficient Color-Image Encryption Method Using DNA Sequence and Chaos Cipher
  • Citations: 14
  1. Hussain A. Younis, ASA Mohamed, MN Ab Wahab, R Jamaludin, S Salisu (2021)
  • A new speech recognition model in a human-robot interaction scenario using NAO robot: Proposal and preliminary model
  • Citations: 11
  1. Hussain A. Younis, TY Abdalla, AY Abdalla (2009)
  • Vector quantization techniques for partial encryption of wavelet-based compressed digital images
  • Citations: 11

Rui Zhang | Code intelligence | Best Researcher Award

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šŸŒŸMrs. Rui Zhang, Code intelligence, Best Researcher AwardšŸ†

Rui Zhang at University of Chinese Academy of Sciences, China

Zhang Rui is a PhD candidate specializing in Computer Software and Theory at the Computer Network Information Center, Chinese Academy of Sciences. With a background in Information Management and Information Systems, Zhang’s research focuses on Natural Language Processing, Automatic Text Summarization, Code Intelligence, Code Comment Generation, and Automatic Program Repair. Zhang possesses extensive experience in machine learning and deep learning theory, Python programming language, and frameworks like Pytorch. They have contributed to various projects, including the development of the “Yuanke + Digital Management System” and keyword similarity libraries. Zhang’s innovative spirit and dedication to knowledge make them a valuable asset to the field.

Author Metrics

Scopus Profile

Zhang Rui has demonstrated notable author metrics, evidenced by their publication record, conference presentations, and contributions to the field of computer science. With publications in prestigious journals such as Expert Systems with Applications and Int. J. Intell. Syst., Zhang’s work showcases their expertise in areas like code comment generation, text summarization, and grammatical correctness improvement. Additionally, abstracts of their research have been accepted by esteemed conferences like the IEEE International Conference on Big Data.Zhang Rui, affiliated with the University of Chinese Academy of Sciences in Beijing, China. They have 6 documents indexed, but no citations yet.

Education

Zhang Rui holds a Ph.D. candidacy in Computer Software and Theory from the Computer Network Information Center, Chinese Academy of Sciences (CNIC). They completed their undergraduate studies in Information Management and Information Systems at Xi’an University of Architecture and Technology. Zhang’s academic journey has equipped them with a strong foundation in computer science and positioned them as a promising researcher in their field.

Research Focus

Zhang Rui’s research primarily revolves around Natural Language Processing (NLP) and its applications in various domains. Their focus areas include Automatic Text Summarization, Code Intelligence, Code Comment Generation, and Automatic Program Repair. By leveraging machine learning and deep learning techniques, Zhang aims to develop innovative solutions to complex problems in software development and information processing.

Professional Journey

Zhang Rui’s professional journey is marked by a series of impactful projects, internships, and academic achievements. From contributing to the development of mapping applications at Shaanxi Provincial Bureau of Surveying, Mapping and Geographic Information to undertaking data management and analysis tasks at Shaanxi Provincial Resource Science and Technology Coordination Center, Zhang has honed their skills and expertise in diverse areas of computer science.

Honors & Awards

Throughout their academic and professional career, Zhang Rui has received numerous honors and awards, recognizing their outstanding achievements and contributions. These include prizes in postgraduate year-end assessments, doctoral scholarships, and awards in mathematical modeling competitions. Zhang’s dedication to excellence and innovation has been consistently acknowledged by their peers and academic institutions.

Publications Noted & Contributions

Zhang Rui’s publications have made significant contributions to the field of computer science, particularly in the areas of code comment generation, text summarization, and data storage security management. Their research papers have been published in prestigious journals and presented at renowned conferences, demonstrating their expertise and impact on advancing knowledge in their research domains.

“KFCC: A differentiation-aware and keyword-guided fine-grain code comment generation model”

  • Authors: Zhang, R., Qiao, Z., Zhang, C., Yu, J.
  • Published in Expert Systems with Applications in 2024
  • Introduces KFCC, a model for generating fine-grained code comments that is differentiation-aware and keyword-guided. The model aims to enhance the quality and relevance of generated comments in software development.

“MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities”

  • Authors: Li, Y., Lu, T., Zheng, H.-T., Yuan, J., Zhang, R.
  • Presented at the AAAI Conference on Artificial Intelligence in 2024
  • Describes the MESED dataset, which focuses on multi-modal entity set expansion with fine-grained semantic classes and hard negative entities. This dataset contributes to research in entity set expansion and multimodal learning.

“Large Language Models for Mathematical Reasoning: Progresses and Challenges”

  • Authors: Ahn, J., Verma, R., Lou, R., Zhang, R., Yin, W.
  • Presented at the EACL 2024 – 18th Conference of the European Chapter of the Association for Computational Linguistics
  • Discusses the progress and challenges in using large language models for mathematical reasoning, highlighting advancements and areas for improvement in this field.

“AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection”

  • Authors: Wang, K., Wu, X., Zhou, P., Yang, L., Li, Y.
  • Published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing in 2024
  • Presents AFE-Net, a network designed for infrared small target detection, which utilizes attention-guided feature enhancement to improve detection accuracy in remote sensing applications.

“SentMask: A Sentence-Aware Mask Attention-Guided Two-Stage Text Summarization Component”

  • Authors: Zhang, R., Zhang, N., Yu, J.
  • Published in the International Journal of Intelligent Systems in 2023
  • Introduces SentMask, a component for two-stage text summarization that incorporates sentence-aware mask attention guidance. The model aims to improve the efficiency and effectiveness of text summarization tasks.

“AuxPOS: Improving Grammatical Correctness with Big Data Based Text Summarization”

  • Authors: Zhang, R., Yu, J., Zhou, Y.
  • Presented at the 2022 IEEE International Conference on Big Data
  • Discusses AuxPOS, a method for improving grammatical correctness in text summarization using big data-based approaches. The paper explores techniques to enhance the quality of automatically generated summaries.

Research Timeline

Zhang Rui’s research timeline illustrates their progression and contributions in the field of computer science. Starting from their undergraduate studies at Xi’an University of Architecture and Technology to their current pursuit of a Ph.D. in Computer Software and Theory at CNIC, Zhang’s journey reflects a consistent dedication to academic excellence and research innovation.

Collaborations and Projects

Zhang Rui has actively collaborated on various projects, both academic and industrial, showcasing their ability to work in diverse teams and environments. From developing digital management systems to implementing data traceability systems based on blockchain technology, Zhang’s collaborative efforts have resulted in impactful solutions addressing real-world challenges in software development and information management.