Mr. Yixiang Zhang | Cybersecurity | Best Researcher Award

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Yixiang Zhang | Cybersecurity | Best Researcher Award

Yixiang Zhang, Huazhong University of Science and Technology, China

Zhang Yixiang 🎓 is a passionate researcher in cybersecurity, backend systems, and large language models (LLMs). A CPC member 🇨🇳 and top-ranking postgraduate student at Huazhong University of Science and Technology 🏫, he combines academic excellence with strong practical experience. He has led innovative R&D efforts in open-source algorithm evaluation, security assessments, and intelligent penetration testing 🤖. Zhang is skilled in Python, C++, LangChain, and vLLM, and has earned top national honors 🏆 for his contributions. With a curious mindset, strong adaptability, and a solid foundation in machine learning and security, he aims to solve complex challenges in cyberspace security 🔐.

Professional profile :

Orcid

Suitability for Best Researcher Award :

Zhang Yixiang exemplifies the qualities of a top-tier early-career researcher in the fields of cybersecurity,backend systems, and large language models (LLMs). As a top-ranking postgraduate student at Huazhong University of Science and Technology and a member of the Communist Party of China (CPC), he has demonstrated both academic excellence and a commitment to national scientific advancement. His profile reflects a strong blend of theoretical knowledge, technical innovation, and real-world impact, which are key attributes sought in a Best Researcher Award recipient.

Education & Experience :

🎓 Education:

  • 🏫 Huazhong University of Science and Technology (2023–2026)
    Master’s in Cyberspace Security | Top 25% | Advisor: Prof. Fu Cai
    🏅 First-Class Scholarship | 🏆 “Challenge Cup” National Winner

  • 🏫 Zhengzhou University (2019–2023)
    Bachelor’s in Information Security | Top 5%
    🏅 National Endeavor Scholarship | 🏅 First-Class Scholarship
    👨‍🎓 Outstanding Student & Youth League Cadre

💼 Experience:

  • 🧠 Open Source Algorithm Evaluation Engineer, Wuhan Jinyinhu Lab (2024–2025)
    🛠️ Platform Design | 📊 Document Optimization | 🧭 Strategic Planning

  • 💻 Backend Engineer, Institute of Software, Chinese Academy of Sciences (2024–2025)
    📐 Security Evaluation | 📄 Readability Modeling | 🧪 Standard Development

Professional Development :

Zhang Yixiang continues to evolve professionally through hands-on R&D projects in cybersecurity, backend infrastructure, and open-source intelligence 🧠. He has contributed to national-level platforms and collaborated with leading institutions like the Chinese Academy of Sciences 🏢. Proficient in LLM development frameworks like LangChain and vLLM, he actively refines models for risk detection, software component analysis, and AI-driven security auditing 🔍. His commitment to practical innovation is matched by academic rigor, with one patent filed and a top-tier journal paper under review 📄. Zhang thrives in fast-paced environments, always seeking to bridge cutting-edge tech with real-world security applications 🌐.

Research Focus :

Zhang Yixiang’s research centers around cyberspace security, LLM applications, and AI-driven algorithm optimization 🔐🤖. His projects include developing penetration testing frameworks, secure open-source evaluation platforms, and advanced detection algorithms for binary code analysis 🧬. He combines multi-agent systems and retrieval-augmented generation (RAG) architectures to improve automation and decision-making in security systems 🤝. His approach integrates deep learning methods, such as LSTM and PSO-optimized random forests, with practical applications like DDoS detection and open-source risk analysis 📊. Zhang’s interdisciplinary research bridges backend engineering, AI model fine-tuning, and cybersecurity intelligence to tackle complex, real-world digital threats 🚨.

Awards & Honors :

  • 🥇 First Prize, National “Challenge Cup” Innovation Competition (2024)

  • 🥇 First Prize, Challenge Cup – Special Project Division (2024)

  • 🥇 First Prize, 15th Provincial Computer Design Competition (2022)

  • 🥈 Second Prize, ICM/MCM U.S. Mathematical Modeling Competition (2021)

  • 🥉 Third Prize, APMCM Asia-Pacific Modeling Contest (2020)

  • 🏅 First-Class Academic Scholarship (2023, 2022)

  • 🏅 National Endeavor Scholarship (Zhengzhou University)

  • 🏅 Excellent Student Leader & Youth League Cadre

Publication Top Notes : 

Title: BinCoFer: Three-stage purification for effective C/C++ binary third-party library detection

Journal of Systems and Software, May 2025
DOI: 10.1016/j.jss.2025.112480
ISSN: 0164-1212

Citation (APA Style):
Zou, Y., Z., Y., Zhao, G., Wu, Y., Shen, S., & Fu, C. (2025). BinCoFer: Three-stage purification for effective C/C++ binary third-party library detection. Journal of Systems and Software, 112480. https://doi.org/10.1016/j.jss.2025.112480

Conclusion :

Zhang Yixiang stands out as a forward-looking, innovative researcher whose work aligns closely with the mission of the Best Researcher Award—to recognize exceptional contributions that advance scientific understanding and practical impact. His achievements in cybersecurity and LLM integration, combined with national recognition and hands-on leadership in cutting-edge projects, make him a compelling nominee. His trajectory suggests continued excellence and influential contributions to the field, justifying his selection for this prestigious honor.

Ms. Ujunwa Madububa Mbachu | Cybersecurity | Best Researcher Award

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Ms. Ujunwa Madububa Mbachu | Cybersecurity | Best Researcher Award

Ms. Ujunwa Madububa Mbachu, University of Southern Mississippi, United States

Ms. Ujunwa Madububa Mbachu is a Ph.D. candidate in Computer Science (Cybersecurity) at the University of Southern Mississippi, USA. She is a Visiting Instructor at the School of Computing Sciences and Computer Engineering and a Research Associate at the SPEN Lab, focusing on security and privacy in emerging networks. With extensive experience in teaching, research, and industry leadership, she is the President of the Cyberwatch Foundation, promoting inclusivity in cybersecurity education. Her expertise spans cybersecurity, machine learning, cloud computing, and privacy protection. She has received prestigious awards, including the Dissertation Completion Grant and Hall of Fame Induction at her university.

🌍 Professional Profile:

Google Scholar

🏆 Suitability for Best Researcher Award 

Ms. Mbachu is an exceptional candidate for the Best Researcher Award due to her groundbreaking contributions in cybersecurity, privacy, and emerging network security. Her Ph.D. research on Secure and Privacy-Aware Traffic Management Services in Autonomous Vehicles addresses critical global challenges in data protection and smart transportation. She has authored impactful research, led cybersecurity initiatives, and mentored students in computing sciences. As a leader in the Cyberwatch Foundation, she actively bridges academic research and real-world applications. Her dedication to advancing cybersecurity knowledge and fostering technological inclusivity makes her a highly deserving nominee for this prestigious recognition.

🎓 Education 

Ms. Mbachu is currently pursuing a Ph.D. in Computer Science (Cybersecurity) at the University of Southern Mississippi (2021–2025), with a dissertation on Secure and Privacy-Aware Traffic Management Services in Autonomous Vehicles, under the supervision of Dr. Ahmed Sherif. She earned an M.Sc. in Information Technology from the National Open University (NOUN), Nigeria (2017), focusing on the socioeconomic implications of national security and privacy systems. Her academic foundation includes a strong background in computer science, cybersecurity, and privacy research, preparing her for innovative contributions in data security, artificial intelligence, and cloud computing.

👩‍💻 Professional Experience

Ms. Mbachu is a Visiting Instructor at the University of Southern Mississippi, teaching computer science and IT courses across various modalities. She has also served as a Graduate Teaching Assistant, mentoring students and supporting research in cybersecurity. As a Research Associate at the SPEN Lab, she actively investigates security and privacy challenges in emerging networks. In the industry, she is the President of Cyberwatch Foundation, driving cybersecurity education initiatives. Her roles in academia and leadership demonstrate her commitment to advancing cybersecurity knowledge and empowering future researchers in the field.

🏅 Awards & Honors

Ms. Mbachu has received numerous accolades, including the 2025 Graduate School Dissertation Completion Grant and Hall of Fame Induction at the University of Southern Mississippi. She was also awarded the 2025 Student Travel Grant for her outstanding contributions to research. In 2021, she was honored with the College of Arts & Science Student Travel Award for her impactful academic work. These recognitions highlight her excellence in cybersecurity research, academic performance, and leadership in technology education. Her commitment to innovation and mentorship in cybersecurity has earned her prestigious acknowledgments from both academic and professional institutions.

🔬 Research Focus 

Ms. Mbachu’s research spans cybersecurity, privacy protection, machine learning, deep learning, and cloud computing. Her work focuses on securing emerging networks, with particular interest in privacy-aware traffic management in autonomous vehicles. She explores how artificial intelligence and cryptographic models enhance data security in smart infrastructures. Her studies also address cloud security, cyber-attack prevention, and AI-driven risk assessments. Through her leadership at the Cyberwatch Foundation, she advocates for inclusive cybersecurity education. Her multidisciplinary research contributes to both theoretical advancements and real-world cybersecurity applications, ensuring safer digital ecosystems in emerging technologies.

📖 Publication Top Notes 

  1. Machine Learning Techniques to Predict Mental Health Diagnoses: A Systematic Literature Review
    • Year: 2024
    • Citations: 7
  2. Predictive Machine Learning Approaches for Mental Health Diagnoses in College Students
    • Year: 2024
  3. A Review of Machine Learning Techniques to Predict Mental Health Diagnoses
    • Year: 2024
  1. Secure and Privacy-Preserving Aggregation Scheme for Traffic Management Systems
    • Year: 2023
    • Citations: 2
  2. Hardware-Acceleration Based Privacy-Aware Authentication Scheme for Internet of Vehicles
    • Year: 2024
  3. Privacy-Aware and Hardware Acceleration-Based Aggregation Scheme for Smart Grid Networks
    • Year: 2023

 

 

Dr. Ling Li | Information Security | Best Researcher Award

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Dr. Ling Li | Information Security | Best Researcher Award

Dr. Ling Li, University of Electronic Science and Technology of China, China

Dr. Ling Li is an accomplished researcher at the University of Electronic Science and Technology of China, specializing in cyberspace security and advanced AI techniques. With a Ph.D. in Cyberspace Security and a strong academic foundation, Dr. Li has made significant contributions to the fields of cloud-edge computing, federated learning, and 6G network security. Her research has garnered attention for its innovative approaches to privacy protection, data cleaning, and multi-task scheduling in heterogeneous edge networks. She has published extensively in top-tier journals and conferences and holds multiple patents in the field. Dr. Li’s work continues to shape the future of secure, intelligent network systems, and she is recognized for her leadership in advancing next-generation technologies. 🚀

Professional Profile:

Orcid

Suitability for the Award

Dr. Ling Li is highly suitable for the Best Researcher Award due to her pioneering contributions to cybersecurity, federated learning, and network security. Her innovative work on improving model accuracy and privacy in non-IID environments, as well as her advancements in 6G network security, position her as a leader in these cutting-edge fields. With several high-impact publications, multiple patents, and leadership roles in national projects, Dr. Li has demonstrated excellence in both research and practical applications. Her continuous efforts to push the boundaries of secure and intelligent network systems make her an ideal candidate for this prestigious award. 🏅

Education

🎓 Dr. Ling Li holds a Ph.D. in Cyberspace Security from the University of Electronic Science and Technology of China, where she specialized in cybersecurity and intelligent network systems. Before pursuing her Ph.D., she earned her Master’s degree from Southwest Jiaotong University, laying the groundwork for her research in network security and artificial intelligence. Her academic journey has been focused on blending theoretical knowledge with practical applications, particularly in the areas of privacy protection and federated learning. Dr. Li’s education has provided a strong foundation for her innovative contributions to the rapidly evolving field of cybersecurity and intelligent systems. 📘

Experience

Dr. Li has extensive academic and research experience, currently serving as a key researcher at the University of Electronic Science and Technology of China. She leads cutting-edge projects on cloud-edge computing, federated learning, and 6G network security. Her expertise has made her a pivotal figure in the development of innovative approaches for enhancing privacy protection in non-IID environments. Dr. Li has also been involved in key national projects, including a Central Universities Foundation initiative and a National Natural Science Foundation project, where she serves as a lead researcher. Her experience spans across cybersecurity, AI, and data analytics, making her a leading expert in these domains. 🌐

Awards and Honors

🏆 Dr. Ling Li’s exceptional research has earned her several honors, including recognition for her groundbreaking work in federated learning and network security. She has published multiple SCI/EI-indexed papers in prestigious journals such as MDPI Sensors and Frontiers of Computer Science, and presented at major conferences like IJCNN and ISNCC. Additionally, Dr. Li holds three Chinese invention patents, underscoring her innovation in the field. Her leadership in national and university-level projects has positioned her as a trailblazer in her field, contributing significantly to the advancement of cybersecurity and intelligent network systems. 🎖️

Research Focus

🔍 Dr. Li’s research focus lies at the intersection of cybersecurity, artificial intelligence, and intelligent network systems. She has pioneered new methods in cloud-edge-end federated learning to improve model accuracy and privacy protection, particularly in non-IID environments. Her work extends to the development of statistical relational learning techniques for automatic data cleaning and repair. Furthermore, Dr. Li is at the forefront of 6G network security research, with a focus on privacy protection and multi-task scheduling optimization in heterogeneous edge networks. Her contributions have significant implications for the future of secure, intelligent networks. 🌟

Publication Top Note:

Title: Cloud–Edge–End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments
Year: 2024

 

 

 

Mr. Stephen Afrifa | Botnet Awards | Best Researcher Award-3213

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Mr. Stephen Afrifa | Botnet Awards | Best Researcher Award

Mr. Stephen Afrifa, Tianjin University, China

Mr. Stephen Afrifa is a dedicated lecturer in the Department of Information Technology and Decision Sciences at the University of Energy and Natural Resources (UENR), with a strong background in IT project management, data science, AI, and machine learning. He holds a Master of Science in Engineering from Tianjin University, China, where his research focused on using machine learning models to assess climate change impacts. With expertise in a wide range of programming languages and statistical tools, Stephen has developed software solutions and led research initiatives in both academic and professional settings. His leadership in AMANPENE Foundation and UENR reflects his commitment to using technology for societal good, particularly in climate modeling and poverty alleviation.

Professional Profile:

Google Scholar

Orcid

Scopus

Suitability for the Award:

Mr. Stephen Afrifa is a suitable candidate for the Best Researcher Award due to his strong academic background, impactful research publications, interdisciplinary collaborations, and leadership in addressing significant societal challenges through technology and AI. His dedication to teaching, research, and community service further bolsters his eligibility, making him a distinguished candidate deserving of this award.

Educational Background

Stephen holds a Master of Science in Engineering (Information and Communication Engineering) from Tianjin University, where he focused on machine learning models related to climate change. His foundational education includes a WASSCE Certificate from Kumasi High School.

Professional Overview

Mr. Stephen Afrifa is a proactive and versatile individual with a strong commitment to enhancing user experiences through technology. He excels in both quantitative and qualitative projects and thrives in international, multicultural environments.

Work Experience

Currently a Lecturer in the Department of Information Technology and Decision Sciences at the University of Energy and Natural Resources (UENR), Stephen supervises and guides students at various academic levels. He also serves as a part-time Software Application Developer at CY Technologies, leading software development and research projects.

Skills and Expertise

Well-versed in programming languages and statistical tools like Python, R, C/C++, and more, Stephen has a robust background in IT project management, network security, and data science. His research interests include IoT, cybersecurity, and cloud computing, emphasizing sustainable practices.

Honors and Leadership

Recognized as the Best Graduating Student in Computer Science at UENR and a recipient of the Absa Tertiary Scholarship, Stephen also holds leadership roles, including being an Academic Board Member at Eterno Press and a Lead Research Facilitator at UENR.

Publication Top Notes:

  • Title: Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis
    • Year: 2022
    • Cited by: 44
  • Title: Detection of Anemia Using Conjunctiva Images: A Smartphone Application Approach
    • Year: 2023
    • Cited by: 23
  • Title: Ensemble Machine Learning Techniques for Accurate and Efficient Detection of Botnet Attacks in Connected Computers
    • Year: 2023
    • Cited by: 20
  • Title: Cyberbullying Detection on Twitter Using Natural Language Processing and Machine Learning Techniques
    • Year: 2022
    • Cited by: 16
  • Title: VAR, ARIMAX and ARIMA Models for Nowcasting Unemployment Rate in Ghana Using Google Trends
    • Year: 2023
    • Cited by: 15

 

 

Dr. Negalign Wake Hundera | Network Security and Cryptography | Best Researcher Award

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Dr. Negalign Wake Hundera | Network Security and Cryptography | Best Researcher Award

Dr. Negalign Wake Hundera, Zhejiang Normal University, China

Dr. Negalign Wake Hundera is an accomplished academician and researcher with expertise in network security, cryptography, and cloud computing. Holding a Ph.D. in Software Engineering from the University of Electronic Science and Technology of China, and prior degrees from esteemed institutions in both China and Ethiopia, he has a strong foundation in academia. Currently serving as a Postdoctoral Research Fellow at Zhejiang Normal University, his contributions extend beyond research to mentoring students and securing funding for projects. With a passion for exploring the intersection of technology and real-world applications, he seeks to leverage his skills in innovative environments. Outside academia, he enjoys reading, cooking, and sports like football and table tennis. 🌐🔒🖥️

Professional Profile:

Google Scholar

Orcid

🎓 Education:

Negalign holds a Ph.D. in Software Engineering from the University of Electronic Science and Technology of China, along with an M.Sc. in Computer Science and Technology from the same institution. He earned his Bachelor’s degree in Information Technology from Jimma University, Ethiopia. His research interests span various areas including network security, public key cryptography, IoT, cloud computing, and deep learning.

💼 Employment History:

Currently serving as a Postdoctoral Research Fellow at Zhejiang Normal University, Negalign has been actively engaged in research and academic activities. Prior to this, he worked as an Assistance Professor for Computer Science at Wolkite University, Ethiopia, and as a Lecturer for Computer Science Department at the same university. He also served as an Information Communication and Network Infrastructure Team Leader at Wolkite University.

🔧 Skills:

Negalign possesses expertise in academic writing, teaching, programming languages such as Python, C, and Java, network administration and designing, LANs/WANs, and Internet/Intranet management. He is proficient in troubleshooting network connectivity issues and is well-versed in various protocols and security measures.

📚 Publications:

Negalign has numerous publications in esteemed journals and conferences, covering topics like network security, cloud computing, IoT, and cryptography. His research contributions have been recognized in various academic circles.

🏆 Awards & Certifications:

He has received several academic achievement certificates and awards from the University of Electronic Science and Technology of China. Additionally, he holds certifications in Cisco instruction, maintenance and networking training, and SPSS.

Publication Top Notes:

  1. Title: Permission-based separation of duty in dynamic role-based access control model
    • Journal: Symmetry
    • Year: 2019
    • Citations: 24
  2. Title: A Secure and Efficient Identity-Based Proxy Signcryption in Cloud Data Sharing
    • Journal: KSII Transactions on Internet and Information Systems (TIIS)
    • Year: 2020
    • Citations: 18
  3. Title: A hybrid cnn-lstm model for virtual machine workload forecasting in cloud data center
    • Conference: 2021 18th International Computer Conference on Wavelet Active Media
    • Year: 2021
    • Citations: 11
  4. Title: The Internet of vehicles and smart cities
    • Journal: Annals of Telecommunications
    • Year: 2021
    • Citations: 10
  5. Title: DNACDS: Cloud IoE big data security and accessing scheme based on DNA cryptography
    • Journal: Frontiers of Computer Science
    • Year: 2024

 

 

 

 

 

Mr. Shoumik Saha | Network Security and Privacy | Best Researcher Award

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Mr. Shoumik Saha | Network Security and Privacy | Best Researcher Award

Mr. Shoumik Saha, University of Maryland, United States

🎓 Mr. Shoumik Saha is a Ph.D. candidate in Computer Science and Engineering at the University of Maryland, boasting an impressive academic journey marked by a stellar CGPA of 3.74/4.0. Under the guidance of Dr. Soheil Feizi, he commenced his doctoral studies in August 2022 after earning a BSc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) with a CGPA of 3.66/4.0. Shoumik’s educational prowess began at Notre Dame College, where he achieved a perfect GPA of 5.00/5.00 for his Higher Secondary Certificate. 🌐 Currently a dedicated Graduate Research Assistant at the University of Maryland, he showcases a diverse background with roles at the Maryland Cybersecurity Center, lecturing at United International University, and contributing to research at BUET. 🏫 Mr. Saha stands as a beacon of academic excellence, honored with accolades like the ‘Dean’s Fellowship’ and recognition from the ICT division of the Bangladesh government’s ‘Innovation Fund.’ His portfolio spans impactful projects, including web development, software engineering, and hardware innovation, reflecting his versatile and dynamic approach to academia. 🔍🔧💻

🎓 Education :

Mr. Shoumik Saha is currently pursuing his Ph.D. in Computer Science and Engineering at the University of Maryland, demonstrating an impressive academic journey. With a stellar CGPA of 3.74/4.0, he commenced his doctoral studies in August 2022 under the guidance of Dr. Soheil Feizi. Prior to this, Shoumik earned his BSc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) in February 2021, showcasing academic excellence with a CGPA of 3.66/4.0 and an advanced GPA of 3.79/4.0. During his undergraduate years, Dr. Atif Hasan Rahman supervised his thesis work. Shoumik’s educational journey began at Notre Dame College, where he achieved a perfect GPA of 5.00/5.00 for his Higher Secondary Certificate from July 2013 to June 2015. 🎓💻🌟

🌐 Professional Profiles :

Google Scholar

👨‍🏫 Experience :

Mr. Shoumik Saha is a dedicated Graduate Research Assistant at the University of Maryland, currently pursuing his academic journey in the Department of Computer Science under the guidance of Dr. Soheil Feizi. His commitment to research extends back to his tenure at the Maryland Cybersecurity Center, where he served as a Full-Time Graduate Research Assistant under the supervision of Dr. Tudor Dumitras from August 2022 to December 2023. Prior to his ventures in the United States, Mr. Saha contributed as a Lecturer at the Department of Computer Science and Engineering at United International University, showcasing his passion for education. Additionally, he gained valuable experience as a Part-Time Research Assistant at the Data Science and Engineering Research Lab of Bangladesh University of Engineering and Technology (BUET). Mr. Shoumik Saha’s diverse roles and engagements reflect his multifaceted journey in academia, blending research, teaching, and practical applications in the realm of computer science. 🌐🎓🔍

🏆 Achievements :

Mr. Shoumik Saha stands as a beacon of academic excellence, adorned with a plethora of well-deserved accolades. His journey at the University of Maryland has been marked by the prestigious ‘Dean’s Fellowship,’ a testament to his exceptional contributions to the realm of academia and research. Notably, his innovative research pursuits were recognized and supported by the ‘Innovation Fund’ from the ICT division of the Bangladesh government, showcasing his impactful presence in the technological landscape.

During his tenure at Bangladesh University of Engineering and Technology (BUET), Mr. Saha consistently demonstrated scholarly brilliance, earning ‘Merit Stipends’ in an impressive five out of seven terms. His commitment to excellence was further underscored by the ‘Dean’s Award’ in his junior year, celebrating his extraordinary academic achievements.

Even in his early academic journey, Mr. Shoumik Saha’s talents were acknowledged with the ‘Talent-Pool Scholarship’ during high school, foreshadowing the remarkable trajectory of success he continues to follow. These accolades, each symbolizing a chapter of his dedication and proficiency, paint a vivid picture of Mr. Saha’s journey, marked by academic brilliance and a passion for innovation. 🏅🎓🔍

🔍 Selected Academic Projects:

Mr. Shoumik Saha has showcased his diverse skill set through a range of selected academic projects, each demonstrating proficiency in various tools and technologies. Notable among them is his Website Development project for a Flight and Hotel Room Reservation System, skillfully crafted using Django and SQLite. In the realm of sports, he has contributed to Software Development for Football Club Management, employing Java, JavaFX, and Oracle Database. Pushing the boundaries of innovation, Mr. Saha has also delved into the realm of hardware with a Micro-controller Project focused on Real-time Detection of Car Theft, featuring Arduino, GPS, GSM module, Sonar, and LDR sensor. 🌐✈️⚽🔧🚗 His portfolio showcases a well-rounded proficiency in both web development and hardware projects, reflecting a versatile and dynamic approach to academic endeavors.

🧠Research Interests 🔬🌐 :

Mr. Shoumik Saha’s research interests encapsulate the cutting-edge domains of Computer Security, Machine Learning, Malware, Adversarial Robustness, Network Security, and Privacy, with a specialized focus on Malware Detection. 🖥️🔒🤖 His passion for understanding and fortifying digital landscapes underscores a commitment to staying at the forefront of cybersecurity challenges, making him a dedicated explorer in the realms of technology and safeguarding digital ecosystems.

Publications Top Notes  :

1.  Adversarial Robustness of Learning-based Static Malware Classifiers

Publication: arXiv:2303.13372

Year: 2023

Journal: arXiv preprint

Cited By: 2

2.  MAlign: Explainable static raw-byte based malware family classification using sequence alignment

Publication: Computers & Security, 103714

Year: 2024

3.  MALIGN: Adversarially Robust Malware Family Detection using Sequence Alignment

Publication: arXiv:2111.14185

Year: 2023

Journal: arXiv preprint

4.  Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal

Publication: arXiv:2308.02433

Year: 2023

Journal: arXiv preprint

 

 

 

 

 

Mr. Emmanuel Song Shombot | Network Security and Privacy | Best Researcher Award

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Mr. Emmanuel Song Shombot | Network Security and Privacy | Best Researcher Award

Mr. Emmanuel Song Shombot, IMT Mines Ales, France

🌟  Mr. Emmanuel Song Shombot, a distinguished scholar currently pursuing a Ph.D. at IMT Mines Ales in France, specializes in predicting and evaluating cyberattack databases using AI tools in healthcare. With an MSc. in Information Security and Digital Forensics from the University of East London, where he graduated with Distinction in 2017, and a First Class BSc. in Software Engineering in 2012, Shombot boasts a rich educational background. As a Lecturer II in Computer Science at Federal University Lafia, Nigeria, since 2020, he imparts knowledge in diverse areas, earning recognition as the “Best Staff of the Year” in 2019/2020. Shombot’s academic journey is adorned with prestigious awards like the 2021 Petroleum Technology Development Fund (PTDF) and the 2015 Tertiary Education Trust Fund (TETFUND). His multifaceted skill set includes proficiency in digital forensics tools, data manipulation with Pandas and Python, and expertise in Microsoft Excel. Shombot’s dedication to education, recognized achievements, and technical prowess position him as a dynamic force in the fields of technology and cybersecurity 🎓🔒🏆.

🎓 Education :

Mr. Emmanuel Song Shombot is a distinguished scholar currently pursuing his Ph.D. at IMT Mines Ales in France, focusing on the prediction and evaluation of cyberattack databases using AI tools in healthcare. His academic journey includes an impressive MSc. in Information Security and Digital Forensics from the University of East London, where he graduated with Distinction in 2017. Driven by a passion for software engineering, he earned his First Class BSc. in Software Engineering from the same institution in 2012. With a wealth of knowledge and expertise in the field, Dr. Shombot is poised to make significant contributions to the intersection of artificial intelligence and cybersecurity, safeguarding the digital landscape with his skills 🎓🔒.

🌐 Professional Profiles :

Google Scholar

👨‍🏫 Work Experience :

Emmanuel Song Shombot brings a wealth of knowledge and dedication to his role as a Lecturer II in Computer Science at Federal University Lafia, Nigeria, since 2020. As an educator, he imparts his expertise to both postgraduate and undergraduate students, covering a diverse range of courses such as Software Engineering, Database Design and Management, Introduction to Computer Science, Systems Analysis and Design, IT Project Management, Legal and Ethical Issues in Computing, Computer Security, Human-Computer Interaction, Operating Systems, and Web Application Development. His commitment goes beyond the classroom, as he meticulously prepares lectures, conducts exams, leads practical classes, and guides final year projects. Notably, Shombot’s outstanding contributions were recognized when he was awarded the prestigious title of “Best Staff of the Year,” a testament to the positive impact he has had on the academic journey of his students 🎓👨‍🏫🏆

🏆 Awards and Funding :

Mr. Emmanuel Song Shombot has garnered significant recognition and support through prestigious awards and funding in his academic journey. In 2021, he earned the esteemed Petroleum Technology Development Fund (PTDF), a testament to his commitment to excellence and contribution to the field. Additionally, his dedication to education was acknowledged in 2015 with the Tertiary Education Trust Fund (TETFUND). These accolades and financial support underscore Shombot’s outstanding achievements and his impactful role in advancing knowledge and research within his academic pursuits 🏆💰

🏅 Recognition Certificates :

Mr. Emmanuel Song Shombot’s journey is adorned with well-deserved recognition and certificates, affirming his commitment and excellence in various capacities. At the Federal University of Lafia, he earned the esteemed “Best Staff of the Year” award for the academic year 2019/2020, showcasing his impactful contributions to the institution. As a Student Ambassador at the University of East London in 2016/2017, Shombot not only excelled academically but also actively represented and promoted the university. Even during his National Youth Service Corps, he showcased his talents, earning a Certificate of Participation from the Band Club in 2013. These accolades and certificates illuminate Shombot’s multifaceted achievements and his dedication to excellence in every endeavor 🏅🎓🎉.

🔍 Research Technical Skills :

Mr. Emmanuel Song Shombot possesses a robust skill set in both research and technical domains, showcasing his versatility in the ever-evolving landscape of technology. Proficient in digital forensics, he demonstrates effectiveness with tools such as Forensic Tool Kit (FTK), utilizing it for precise digital evidence recovery and analysis. In the realm of data manipulation and visualization, Shombot showcases expertise in Pandas, Matplotlib, and Python, leveraging these powerful tools for insightful data interpretation. Furthermore, his proficiency extends to the use of Microsoft Excel for meticulous data entry and analysis. Shombot’s diverse skill set, ranging from forensic analysis to programming and data visualization, positions him as a dynamic and resourceful professional in the field 🛠️🔍📊.

🧠Research Interests 🔬🌐 :

Mr. Emmanuel Song Shombot is a multifaceted researcher with a broad spectrum of interests spanning Software Engineering, Information Security, Digital Forensics, Cybersecurity, Machine Learning, Network Security, and Privacy. His diverse expertise reflects a comprehensive understanding of the intricate intersections within the realm of technology and security. With a passion for unraveling the complexities of software systems and a commitment to fortifying digital landscapes, Shombot’s research pursuits encompass cutting-edge areas such as machine learning and cybersecurity. His inquisitive mind and dedication to advancing knowledge in these domains make him a dynamic figure in the ever-evolving field of technology 🌐🛡️🤖.

Publications Top Notes  :

1.  An Application for Predicting Phishing Attacks: A case of Implementing a Support Vector Machine Learning Model

Journal: Cyber Security and Applications

Published Year: 2024

Cited By: 100036

2.  Prediction and evaluation of cyberattack databases with AI tools in healthcare sector

Journal: Séminaire IMT «Data Analytics & Artificial Intelligence»

Published Year: 2023

3.  State-of-the-art Analysis of Cyberattack Trends in the Healthcare Sector

Journal: TIEMS 2023-The International Emergency Management Society Hybrid Annual

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4.  Cyber Security in Healthcare: Utilizing Artificial Intelligence and Database Technology to Enhance Understanding of Cyberattacks

Journal: Colloque IMT 2023:«Sécurité et Résilience»

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