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.

Mr. Sangwon Lee | cybersecurity | Best Researcher Award

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Sangwon Lee | cybersecurity | Best Researcher Award

Sangwon Lee, Hoseo University, South Korea

Sangwon Lee is a passionate researcher in the field of cybersecurity 🔐 and artificial intelligence 🤖. She received her Bachelor’s degree in Computer Engineering from Hoseo University, South Korea 🇰🇷, in 2025. Currently, she is pursuing her Master’s in Information Security 🧠 at the same institution. Her research interests focus on AI security, physical security, and hardware-based security threats like clock glitch fault attacks ⏱️⚡. Sangwon is dedicated to advancing secure AI systems by identifying vulnerabilities and developing countermeasures. She is keen on blending academic insights with practical hardware testing to address real-world cybersecurity challenges.

Professional profile :

Orcid

Suitability for Best Researcher Award :

Sangwon Lee demonstrates exceptional promise as a young researcher by combining academic rigor with hands-on practical experimentation. Her deep focus on AI security and hardware-based threats, such as clock glitch fault attacks, highlights her commitment to tackling real-world vulnerabilities in next-generation computing systems. Her research embodies the spirit of innovation, curiosity, and relevance that aligns with the goals of the Best Researcher Award.

Education & Experience :

  • 📘 B.E. in Computer Engineering, Hoseo University, Republic of Korea (2025)

  • 🎓 M.S. in Information Security (ongoing), Hoseo University

  • 🔍 Researcher in AI & Hardware Security, focusing on fault injection and physical attack resistance

Professional Development :

Sangwon Lee is actively engaged in advanced studies in information security at Hoseo University 🏫. She continuously enhances her skills in cybersecurity 🧩 through hands-on research involving deep neural networks and fault attacks. As part of her academic journey, she explores real-world attack models such as clock glitching and implements robust countermeasures 🛡️. She regularly collaborates with fellow researchers and participates in seminars and workshops to stay updated on the latest developments in AI and hardware security 🔬. Her commitment to learning and innovation positions her as a promising figure in the cybersecurity and AI safety landscape 🌐.

Research Focus Area :

Sangwon Lee’s research is centered around the intersection of AI security 🤖 and hardware security 🛠️. Her primary focus involves studying vulnerabilities in deep neural networks exposed to physical fault injection techniques such as clock glitch attacks ⏱️⚡. She investigates how adversaries can exploit hardware-level weaknesses to manipulate AI system behavior and explores effective countermeasures. Her work aims to ensure robustness and trustworthiness in AI applications by integrating secure design principles and fault-resistant architectures 🔐. This cross-disciplinary approach connects machine learning with embedded system security, contributing significantly to the future of secure intelligent technologies 🔄🔍.

Awards and Honors :

  • 🎖️ Selected for Graduate Research Program in Information Security at Hoseo University

  • 🥇 Recognized for excellence in undergraduate thesis on AI & Security Integration

  • 📜 Commended for contribution to AI fault attack simulations in academic symposiums

Publication Top Notes : 

The publication you’re referring to is titled “Clock Glitch-based Fault Injection Attack on Deep Neural Network”, authored by Hyoju Kang, Seongwoo Hong, Youngju Lee, and Jeacheol Ha from Hoseo University. It was published in 2024 in the Journal of the Korea Institute of Information Security & Cryptology, Volume 34, Issue 5, pages 855–863. The paper investigates the impact of clock glitch-induced fault injections on deep neural networks (DNNs), particularly focusing on the forward propagation process and the softmax activation function. Using the MNIST dataset, the study demonstrates that injecting faults via clock glitches can lead to deterministic misclassifications, depending on system parameters. This research highlights the vulnerability of DNNs to hardware-level fault injections and underscores the need for robust countermeasures.

Citation:

Kang, H., Hong, S., Lee, Y., & Ha, J. (2024). Clock Glitch-based Fault Injection Attack on Deep Neural Network. Journal of the Korea Institute of Information Security & Cryptology, 34(5), 855–863. https://doi.org/10.13089/JKIISC.2024.34.5.855

Conclusion:

Sangwon Lee stands out as a proactive and visionary researcher whose work addresses the pressing security challenges in AI-driven technologies. Her commitment to building resilient, secure systems through both academic inquiry and practical experimentation makes her a highly deserving nominee for the Best Researcher Award.

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. Chinenye Azuka | Technology | Best Researcher Award

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Dr. Chinenye Azuka | Technology | Best Researcher Award

Dr. Chinenye Azuka, University of Nigeria Nsukka, Nigeria 

Dr. Chinenye Azuka is a dedicated researcher and academic specializing in food science and technology. She earned her Ph.D. from the University of Nigeria, focusing on functional food development from germinated brown rice and pigeon pea for diabetes management. Currently serving as Lecturer I at the University of Nigeria, Nsukka, she has extensive experience in teaching and mentoring students in food safety, food engineering, and cereal technology. Her research revolves around processing and product development of functional foods, with expertise in enzymatic activity, polyphenol extraction, and food processing techniques. Dr. Azuka is also skilled in hands-on instrumentation, experimental design, and academic writing. She has received several prestigious awards, including the Tertiary Education Trust Fund (TETFund) award for research excellence. With a strong passion for innovation in food science, she continues to make significant contributions to academia and the industry through her research, publications, and teaching excellence.

Professional Profile:

Orcid
Google Scholar

🏆 Suitability for Best Researcher Award 

Dr. Chinenye Azuka is an outstanding candidate for the Best Researcher Award due to her exceptional contributions to food science research, particularly in functional food development. Her Ph.D. research on germinated brown rice and pigeon pea extrudates for diabetes intervention demonstrates a strong commitment to addressing global health challenges through food technology. With extensive experience in designing and conducting experiments, enzyme activity evaluation, and food processing techniques, she has pioneered innovative methodologies in her field. Dr. Azuka’s expertise in UHPLC/HPLC instrumentation, response surface methodology, and solid-phase extraction further underscores her technical prowess. Additionally, her teaching and mentoring roles have shaped numerous students in the field of food science. Her research excellence has been recognized through prestigious awards like the TETFund Research Excellence Award. With her strong academic record, impactful research, and commitment to scientific advancement, Dr. Azuka is highly deserving of this award.

🎓 Education 

Dr. Chinenye Azuka holds a Ph.D. in Food Science and Technology from the University of Nigeria, where she conducted pioneering research on developing functional foods for diabetes management using germinated brown rice and pigeon pea. Her research focused on malting, formulation, polyphenol extraction, enzyme inhibition, and physicochemical analysis of extrudates. She was supervised by renowned scholars, including Prof. G. I. Okafor, Dr. Christine Bosch, and Dr. Lisa Marshall. Prior to her doctoral studies, she earned a Bachelor’s degree in Food Science, demonstrating excellence in food processing techniques and food safety. Her strong academic background has equipped her with expertise in food engineering, product development, and analytical techniques. Through her education, she has developed a profound understanding of food technology, functional food innovation, and dietary interventions for metabolic diseases, making her a significant contributor to the field of food science and technology.

📚 Experience

Dr. Chinenye Azuka is a seasoned academic and researcher with extensive experience in food science and technology. Currently, she serves as Lecturer I at the University of Nigeria, Nsukka, where she teaches undergraduate and postgraduate courses in food safety, cereal technology, food engineering, and processing techniques. She has also supervised numerous students in their research projects and dissertation presentations. Prior to her current role, she worked as Lecturer II, where she played a crucial role in curriculum development, student mentoring, and research supervision. Additionally, she has administrative experience as a Faculty ICT Representative and Treasurer for the Local Committee of the Nigerian Institute of Food Science and Technology. Her expertise in hands-on laboratory research, experimental design, and food processing techniques has made her an influential figure in academia. Dr. Azuka’s dedication to teaching, research, and administration highlights her excellence in both academic and scientific leadership.

🏅 Awards and Honors 

Dr. Chinenye Azuka’s remarkable research contributions have been recognized through multiple awards and honors. She received the prestigious Tertiary Education Trust Fund (TETFund) Nigeria Award in 2022 for research excellence and staff development, highlighting her outstanding work in food science. In 2008, she was honored with the Tantalizers Undergraduate Excellence Award, recognizing her academic brilliance and innovative research approach. Additionally, she has earned professional certifications, including Quality Management for Operational Excellence (2023) and UK Foundations in Teaching (2023), further demonstrating her commitment to academic and professional development. Her leadership roles, including serving as Treasurer of the Local Committee of the Nigerian Institute of Food Science and Technology (UNN Chapter), underscore her contributions to the academic community. These awards and recognitions affirm her dedication, expertise, and impactful research in food science, making her a leading figure in functional food technology and nutritional science.

🔬 Research Focus

Dr. Chinenye Azuka’s research primarily focuses on functional food development and processing for disease prevention and management. Her work explores nutritional interventions for metabolic diseases, particularly diabetes, through innovative food processing techniques. She specializes in extrusion technology, enzyme inhibition studies, polyphenol extraction, and food formulation using response surface methodology. Her research also involves physicochemical characterization of food products, ensuring optimal nutritional benefits. She has conducted extensive studies on germinated brown rice and pigeon pea-based extrudates, evaluating their alpha-glucosidase and amylase enzyme inhibition properties for diabetes management. Additionally, she applies advanced analytical techniques, including UHPLC/HPLC, scanning electron microscopy, and textural analysis, to assess food quality and functionality. Dr. Azuka’s groundbreaking work bridges the gap between food technology and healthcare, contributing to nutritional science, food safety, and functional food innovations. Her research continues to impact food industry advancements and global health initiatives.

Publication Top Notes:

  • Title: Micronutrients, antinutrients composition and sensory properties of extruded snacks made from sorghum and charamenya flour blends
    • Cited by: 14
    • Year: 2020
  • Title: Physical properties of parboiled milled local rice varieties marketed in South-East Nigeria
    • Cited by: 8
    • Year: 2021
  • Title: Cooking and functional properties of parboiled milled local rice marketed in the south-east zone of Nigeria
    • Cited by: 3
    • Year: 2020
  • Title: Evaluation of the chemical composition and sensory quality of parboiled local and imported milled rice varieties marketed in south-east zone of Nigeria
    • Cited by: 2
    • Year: 2019
  • Title: Evaluation of wheat-pigeon pea flour blends for noodle production in Nigeria
    • Cited by: 1
    • Year: 2022

 

Jinyan Wang | Information Security | Best Researcher Award

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Jinyan Wang | Information Security | Best Researcher Award

Dr. Jinyan Wang, Guangxi Normal University, China.

🎓 Dr. Jinyan Wang is a renowned professor at the School of Computer Science and Engineering, Guangxi Normal University, China. With expertise in machine learning and information security, her research addresses critical challenges in data analysis and digital protection. 🔍 She has authored over 50 impactful publications in prestigious international journals and conferences, contributing significantly to the advancement of computer science. 📚 Dr. Wang’s academic journey includes advanced degrees in computer science and a visiting scholar position at East China Normal University. 🌏 As an educator and researcher, she is dedicated to fostering innovation and mentoring future technology leaders. 💻✨

Publication Profile

Googlescholar

Education & Experience:

  • 🎓 B.Sc. in Computer Science and Information Technology, Northeast Normal University (2005).
  • 🎓 M.Sc. in Computer Science and Information Technology, Northeast Normal University (2008).
  • 🎓 Ph.D. in Computer Science and Information Technology, Northeast Normal University (2011).
  • 🏫 Professor, School of Computer Science and Engineering, Guangxi Normal University, China (Current).
  • 🌏 Visiting Scholar, East China Normal University, China (2019).

 

Suitability for the Award

Professor Jinyan Wang is a highly qualified and accomplished researcher, making her an excellent candidate for the Best Researcher Award. With a solid academic background, including a Ph.D. in Computer Science and Information Technology, she has significantly contributed to the fields of machine learning and information security. Her extensive research output, with over 50 publications in prestigious international journals and conferences, demonstrates her expertise and impact. Her experience as a visiting scholar further enhances her global research perspective. Professor Wang’s dedication to advancing knowledge in her fields of interest positions her as a leading figure in academic research.

Professional Development

🌟 Dr. Jinyan Wang has established herself as a leading figure in computer science, specializing in machine learning and information security. With over 50 research publications in renowned international journals and conferences, she has significantly advanced these fields. 📈 Her academic journey includes earning three degrees from Northeast Normal University and gaining international exposure as a visiting scholar at East China Normal University. Beyond her research, Dr. Wang is dedicated to mentoring the next generation of computer scientists, contributing to both education and innovation in technology. 🎓💻

Research Focus

🔍 Dr. Jinyan Wang’s research centers on machine learning and information security, two critical and evolving areas in computer science. Her work in machine learning explores advanced algorithms to enhance data analysis, predictive modeling, and AI applications. 🤖 Simultaneously, her contributions to information security aim to safeguard digital systems and protect sensitive data from cyber threats. 🔐 With over 50 publications in leading journals and conferences, Dr. Wang is at the forefront of innovative solutions, combining theoretical insights with practical applications to address real-world challenges. 🌐📊

Awards and Honors

  • 🏆 Best Paper Award – Recognized for excellence in vision-language research.
  • 🥇 Graduate Fellowship – National Tsing Hua University, Taiwan.
  • 🥉 Outstanding Thesis Award – Shaanxi Normal University, China.
  • 🎖️ Research Excellence Recognition – vivo AI Lab, 2019.
  • 🌟 Academic Merit Scholarship – Southwest Minzu University, China.

Publication Highlights

  1. A perturb biogeography based optimization with mutation for global numerical optimization – Cited by 106 (2011) 📊
  2. Two privacy-preserving approaches for publishing transactional data streams – Cited by 36 (2018) 🔐
  3. Fuzzy multiset finite automata and their languages – Cited by 34 (2013) 🔄
  4. Real-time reversible data hiding with shifting block histogram of pixel differences in encrypted image – Cited by 31 (2019) 🖼️
  5. Two privacy-preserving approaches for data publishing with identity reservation – Cited by 24 (2019) 🛡️
  6. Soft polygroups – Cited by 22 (2011) 📐
  7. Two approximate algorithms for model counting – Cited by 21 (2017) 🔢

Ms. Kritika | Cybersecurity Awards | Best Researcher Award

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Ms. Kritika | Cybersecurity Awards | Best Researcher Award

Ms. Kritika, India

🎓 Ms. Kritika, a dynamic Computer Science postgraduate 🖥️, holds both a Master’s and Bachelor’s degree from GGSIP University in New Delhi, India 🇮🇳. As an Independent Researcher based in Delhi, her expertise in cybersecurity is evident through her extensive contributions, including peer-reviewed articles and book chapters 📚. Kritika’s research interests span interdisciplinary cybersecurity domains, code smell detection in software 🧾, and vulnerability analysis and mitigation strategies 🛡️. Her ambition and dedication drive her to uncover new insights and best practices in the ever-evolving landscape of cybersecurity.

🌐 Professional Profile:

Orcid

🎓 Educational Background

  • Master of Technology in Computer Science and Engineering (2022) – GGSIP University, New Delhi, India
  • Bachelor of Technology in Information Technology (2019) – GGSIP University, New Delhi, India

🏢 Professional Experience

  • Independent Researcher – Delhi, India

📝 Research Interests

  • Interdisciplinary cybersecurity domains
  • Code smell detection in software
  • Vulnerability analysis and mitigation strategies

Publication Top Notes:

1.  Cyber Security and its cognitive ramifications on E-Governance
2.  Correlating propensity between code smell and vulnerability in java applications
3.  A Deep Dive into Code Smell and Vulnerability Using Machine Learning and Deep Learning Techniques
4.  A review on harmonizing psychological factors into cyber space
5.  Corollary of digital forensics in e governance

 

 

 

 

 

Prof Dr. Jiliang Zhang | Hardware Security | Best Researcher Award

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Prof Dr. Jiliang Zhang | Hardware Security | Best Researcher Award

Prof Dr. Jiliang Zhang, Hunan University, China

Prof. Dr. Jiliang Zhang, an eminent figure in computer science and technology, currently affiliated with Hunan University, China. 🎓 His academic journey includes a Ph.D. in Computer Science and Technology from Hunan University, where he received accolades for his dissertation on “Security and Trust for FPGA-based Systems.” 🏅 Prof. Zhang’s research interests span hardware security, including areas like Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs), as well as new computing architectures such as in-memory computing and brain-inspired computing. 🔬 With a rich professional experience, including positions as a research scholar at the University of Maryland and visiting researcher at Tsinghua University, Prof. Zhang brings a wealth of knowledge and expertise to his role as a professor at Hunan University.

Professional Profile:

Scopus

Educational Background 🎓

  • Ph.D. in Computer Science and Technology – Hunan University, China (2015)
    Dissertation: “Security and Trust for FPGA-based Systems” (Outstanding Doctoral Dissertation)
  • B.E. in Chemical Engineering and Technology – Shandong University of Science and Technology, China (2009)

Honors and Awards 🏅

  • World’s Top 2% Scientists – Stanford University, 2020-2023 (Ranked 36th in 2023 and 16th in 2022 in computer hardware and architecture)
  • CCF Distinguished Lecturer – 2022, 2023
  • Second Natural Science Award – Hunan Province, 2022

Research Interests 🔬

  • Hardware Security: Physical Unclonable Functions (PUFs), True Random Number Generators (TRNGs), Hardware Obfuscation, IP Protection, FPGA Security, Hardware Trojan Detection, Cryptographic Accelerators, CPU Security, and Applications in Secure Systems.
  • New Computing Architectures: In-memory Computing and Brain-inspired Computing.

Professional Experience 🏫

  • Professor – Hunan University (Dec 2020 – Present)
  • Associate Professor – Hunan University (May 2017 – Dec 2020)
  • Associate Professor – Northeastern University (May 2015 – Apr 2017)
  • Research Scholar – University of Maryland, College Park (Sept 2013 – Sept 2014)
  • Visiting Researcher – Tsinghua University, Beijing (Aug 2012 – Sept 2012; Sept 2010 – Jun 2011)

Google Scholar Metrics 📊

  • Citations: 3025
  • H-index: 29

Publication Top Notes:

  1. Design and Application of Programmable Analog Circuit for Solving Lyapunov Matrix Equation Based on Memristors
    • Journal: IEEE Transactions on Industrial Electronics
    • Year: 2024
  1. Design of Artificial Neurons of Memristive Neuromorphic Networks Based on Biological Neural Dynamics and Structures
    • Journal: IEEE Transactions on Circuits and Systems I: Regular Papers
    • Year: 2024
  2. FTOP: An Efficient Flow Table Overflow Preventing System for Switches in SDN
    • Journal: IEEE Transactions on Network Science and Engineering
    • Year: 2024
  3. Quantization Backdoors to Deep Learning Commercial Frameworks
    • Journal: IEEE Transactions on Dependable and Secure Computing
    • Year: 2024
  4. Timing Side-channel Attacks and Countermeasures in CPU Microarchitectures
    • Journal: ACM Computing Surveys
    • Year: 2024

 

 

 

 

 

Dr. Casimer DeCusatis | Quantum DDoS Defense | Best Researcher Award

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Dr. Casimer DeCusatis | Quantum DDoS Defense | Best Researcher Award

Dr. Casimer DeCusatis, Marist College, United States

Dr. Casimer DeCusatis 🎓 holds a Ph.D. and M.S. in Electrical, Computer, & Systems Engineering from Rensselaer Polytechnic Institute and a B.S. magna cum laude in Engineering Science & Mechanics from Pennsylvania State University. 💼 He serves as the Associate Professor and Director of Cybersecurity Education at Marist College, with a distinguished career including roles as CTO, Systems Networking Strategic Alliances at IBM Corporation, Adjunct Associate Professor at New York City College of Technology, CUNY, and Adjunct Professor at State University of New York, New Paltz. 🔧 Dr. DeCusatis boasts over 200 Refereed Technical Publications and 7 Books, and holds the esteemed title of IBM Master Inventor with 250 Issued Patents. He is the Founder and Director of Hudson Valley FIRST Lego League, showcasing his commitment to STEM education. 🏆 His contributions have earned him Fellowships with IEEE, Optika, and SPIE, along with prestigious awards such as the IEEE Region 1 Award for Outstanding Contributions to Cybersecurity Education and the IEEE Kiyo Tomiyasu Award. Recipient of the Sigma Xi Walston Chubb Award for Innovation, Dr. DeCusatis is also recognized as a National Academy of Engineering / NSF – Frontiers of Engineering selected engineer.

Professional Profile:

Google Scholar

🎓 Education:

  • Ph.D. and M.S. in Electrical, Computer, & Systems Engineering from Rensselaer Polytechnic Institute
  • B.S. magna cum laude in Engineering Science & Mechanics from Pennsylvania State University

💼 Professional Employment History:

  • Associate Professor and Director of Cybersecurity Education at Marist College
  • CTO, Systems Networking Strategic Alliances at IBM Corporation
  • Adjunct Associate Professor at New York City College of Technology, CUNY
  • Adjunct Professor at State University of New York, New Paltz

🔧 Professional Accomplishments:

  • Over 200 Refereed Technical Publications and 7 Books
  • IBM Master Inventor with 250 Issued Patents
  • Founder and Director of Hudson Valley FIRST Lego League
  • Recipient of numerous awards including IEEE Region 1 Award for Outstanding Contributions to Cybersecurity Education and IEEE Kiyo Tomiyasu Award

🏆 Honors, Awards, & Recognition:

  • Fellow of IEEE, Optika, and SPIE
  • Recipient of Sigma Xi Walston Chubb Award for Innovation and IEEE Kiyo Tomiyasu Award
  • National Academy of Engineering / NSF – Frontiers of Engineering selected engineer

Publication Top Notes:

  1. Title: Handbook of optics, volume I: geometrical and physical optics, polarized light, components and instruments (set)
    • Citations: 936
    • Year: 2009
  2. Title: Handbook of optics, Volume II: Design, fabrication and testing, sources and detectors, radiometry and photometry
    • Citations: 335
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