Basim abed | Cybersecurity | Best Researcher Award

Mr. Basim abed | Cybersecurity | Best Researcher Award

Mr. Basim abed, Tabriz University, Iran

Mr. Basim Najim Al-Din Abed is an experienced academic professional in Computer Science with a specialization in Data Security and Cybersecurity. Currently pursuing a Ph.D. in Cybersecurity at Tabriz University, Iran (expected 2025), he holds an M.Sc. in Computer Science from Yarmouk University, Jordan, and dual bachelorโ€™s degrees in Mathematics and Computer Science. With over 10 years of teaching and research experience, Mr. Abed has authored 19 peer-reviewed publications in international journals and conferences, focusing on encryption techniques, cybersecurity models, and deepfake detection. His research interests include cyber threats, cryptography, network security, blockchain, and privacy protection. He is proficient in Python, Java, C++, and tools such as Wireshark, Kali Linux, and Metasploit, with expertise in RSA, AES, and SHA-256 algorithms. Mr. Abedโ€™s work demonstrates a strong commitment to advancing cybersecurity research through innovative mathematical and technical solutions to emerging digital threats.

Publication Profile

Orcid

๐ŸŽ“ Educational Background

Mr. Basim Najim Al-Din Abed possesses a strong and diverse academic foundation in the fields of computer science and mathematics. He is currently pursuing a Ph.D. in Cybersecurity at Tabriz University in Iran, with an expected graduation year of 2025. This advanced academic endeavor builds upon his Master of Science in Computer Science, with a specialization in Data Security, which he earned from Yarmouk University in Irbid, Jordan, in 2015. His multidisciplinary expertise is further supported by two bachelor’s degrees: one in Mathematics Science, completed in 2008, and another in Computer Science, earned in 1996. This comprehensive educational progression showcases Mr. Abedโ€™s deep commitment to advancing his knowledge in both theoretical and applied sciences. His academic journey, spanning over two decades, has provided a solid foundation for his research in cybersecurity, encryption, and data protection, enabling him to contribute meaningfully to both academic and practical domains in the digital security landscape.

๐Ÿ” Research Interests

Mr. Basim Najim Al-Din Abed has developed a focused and forward-looking research portfolio in the dynamic field of cybersecurity. His primary research interests include cybersecurity and the analysis of emerging cyber threats, where he explores strategies to safeguard digital infrastructure. He is particularly invested in data privacy and encryption techniques, aiming to enhance the confidentiality and integrity of sensitive information. Mr. Abed also delves into network security and intrusion detection systems, working on advanced methods to detect and prevent unauthorized access. His work in cryptography and secure communication contributes to building robust protocols against digital attacks. Additionally, he investigates the integration of blockchain technology to strengthen cybersecurity frameworks and supports innovations in decentralized systems. Recently, he has expanded his focus to the detection and prevention of deepfakes, addressing one of the most pressing challenges in modern digital forensics and media security.

Publication Top Notes

  • Encrypting Text Messages via Iris Recognition and Gaze Tracking Technology, 2025, Mesopotamian Journal of CyberSecurity, DOI: [10.58496/MJCS/2025/007],

  • Lossless Encoding Method Based on a Mathematical Model and Mapping Pixel Technique for Healthcare Applications, 2024, Iraqi Journal of Science, DOI: [10.24996/ijs.2024.65.12.32], Cited by: Scopus – 1 citation

  • A Deep Fake Detection System Using Diffusion Model Based on Graph Based Image Segmentation, 2023, Frontiers in Artificial Intelligence and Applications, DOI: [10.3233/FAIA230776], Cited by: Scopus – 3 citations

  • A New Mathematical Model to Improve Encryption Process Using Taylor Expansion, 2020, IEEE IT-ELA Conference, DOI: [10.1109/IT-ELA50150.2020.9253084], Cited by: Scopus – 5 citations

  • A Novel Approach by Using a New Algorithm: Wolf Algorithm as a New Technique in Cryptography, 2020, Webology, DOI: [10.14704/WEB/V17I2/WEB17069], Cited by: Scopus – 2 citations

  • Using Cardano’s Method for Solving Cubic Equation in the Cryptosystem to Protect Data Security Against Cyber Attack, 2020, AiCIS Conference, DOI: [10.1109/AiCIS51645.2020.00030], Cited by: Scopus – 4 citations

  • McLaurin Series as a New Technique to Improve Encryption Process, 2019, Journal of Physics: Conference Series, DOI: [10.1088/1742-6596/1294/4/042008], Cited by: Scopus – 6 citations

  • Mapping Private Keys into One Public Key Using Binary Matrices and Masonic Cipher: Caesar Cipher as a Case Study, 2016, Security and Communication Networks, DOI: [10.1002/sec.1431], Cited by: Scopus – 12 citations

Conclusion

Mr. Basim Najim Al-Din Abed is a strong and deserving candidate for the Research for Best Researcher Award, particularly in the domain of Cybersecurity and Data Protection. His innovative research, technical expertise, and consistent academic contribution make him well-suited for recognition at this level. With further emphasis on international visibility, research leadership, and recognition, Mr. Abed’s profile can evolve from commendable to exceptional.

Jamshed AliShaikh | Cybersecurity | Best Researcher Award

Dr. Jamshed AliShaikh | Cybersecurity | Best Researcher Award

Dr. Jamshed AliShaikh at Chongqing University, China

Jamshed Ali ย is a Ph.D. candidate in Computer Science & Technology at Chongqing University, China ๐Ÿ‡จ๐Ÿ‡ณ, with over 7 years of research experience and 4+ years of industry and academic roles. His work bridges AI ๐Ÿค–, cybersecurity ๐Ÿ”, and healthcare technologies ๐Ÿฅ. He has contributed to high-impact projects funded by Chinese research councils and has published multiple Q1-ranked journal articles ๐Ÿ“š. Jamshed is known for his collaborative spirit, technical versatility, and commitment to using AI for societal benefit ๐ŸŒ. He is fluent in programming and simulation tools and is a recognized young researcher from Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ.

Publication Profile

Google Scholar

Academic Background

Jamshed Ali earned his Ph.D. in Computer Science & Technology (2020โ€“2025) from Chongqing University, focusing on intelligent intrusion detection for IoMT healthcare networks ๐Ÿ›ก๏ธ๐Ÿฅ. He completed his MS in Electrical Engineering (2018โ€“2020) at the same university, working on AI-based optimization in smart grids โšก using fuzzy logic and control systems. He holds a BS in Electronics (2010โ€“2014) from the University of Sindh, Pakistan, where he explored smart robotics ๐Ÿค– for disaster response. His academic path reflects a strong foundation in electronics, AI, and system-level problem-solving ๐Ÿ’ก across interdisciplinary domains.

Professional Background

Jamshed Ali has over 4 years and 5 months of professional experience ๐Ÿง ๐Ÿ’ป, including work as a Lecturer and IT In-Charge ๐Ÿ‘จโ€๐Ÿซ at HIMAS-CON (3+ years), where he taught computer science and led IT operations. He worked as a PHP Developer ๐Ÿ’ป at Geeks of Kolachi, managing web development projects. During his internship at Chongqing Kaixinderui, he gained practical experience in engineering teamwork and cultural integration ๐Ÿค๐Ÿ‡จ๐Ÿ‡ณ. Alongside his academic research, these roles reflect a hands-on approach to both technical development and educational leadership in IT and cybersecurity domains ๐Ÿ”๐Ÿง‘โ€๐Ÿซ.

Awards and Honors

Jamshed Ali received a fully funded ๐ŸŽ“ Chinese Government Scholarship for both his MS and Ph.D. studies in 2018 and 2020 ๐Ÿ‡จ๐Ÿ‡ณ. He was named the “Outstanding Student of the Year” ๐Ÿฅ‡ in 2020 at Chongqing University for academic excellence and leadership. He also won “Best Speaker” ๐ŸŽค at the China-Pakistan Culture and Technology Conference, where he presented on AI’s transformative role across healthcare, education, and manufacturing ๐Ÿš€. These accolades reflect his academic impact, communication skills, and international recognition ๐ŸŒ in the field of intelligent systems and research innovation ๐Ÿงช.

Research Focus

Jamshed’s research centers on cybersecurity in IoMT and Industrial IoT ๐ŸŒ, with a focus on machine learning and deep learning ๐Ÿ” for intrusion detection, especially detecting zero-day attacks ๐Ÿšจ. He explores federated learning, edge/cloud computing โ˜๏ธ, secure communication protocols, and medical image processing ๐Ÿ–ผ๏ธ to enhance healthcare data security ๐Ÿ›ก๏ธ. His work contributes to intelligent, privacy-preserving healthcare systems, backed by publications in high-impact journals ๐Ÿ“˜. Jamshed combines theory and application, building intelligent systems that respond to real-world threats while pushing the boundaries of AI in digital health and critical infrastructure ๐Ÿ’ก๐Ÿง .

Publication Top Notes

๐Ÿ”‹ Voltage Stability Index using new single-port equivalent based on component peculiarity and sensitivity persistence
Year: 2021 | ๐Ÿ“– Cited by: 11

๐ŸŒก๏ธ Temperature field simulation and ampacity optimization of 500kV HVDC submarine transmission cable
Year: 2021 | ๐Ÿ“– Cited by: 10

๐Ÿ›ฐ๏ธ A UAV-Assisted Stackelberg Game Model for Securing IoMT Healthcare Networks
Year: 2023 | ๐Ÿ“– Cited by: 9

๐ŸŒž A Reliable Approach to Protect and Control of Wind Solar Hybrid DC Microgrids
ย Year: 2019 | ๐Ÿ“– Cited by: 9

Conclusion

Based on his outstanding academic record, impactful research in cybersecurity and IoMT, high-quality publications in Q1 journals, and significant involvement in both funded research projects and technical roles, Jamshed Ali stands out as a highly deserving candidate for the Best Researcher Award. His work on intelligent intrusion detection systems using AI and deep learning contributes to a critical and emerging field, particularly in healthcare network security. Coupled with his strong technical proficiency, 7 years of research experience, multiple honorsโ€”including CSC scholarships and recognition as an outstanding student and speakerโ€”Jamshed Ali exemplifies excellence in early-career research and innovation.