Assoc. Prof. Dr. Muharrem Tuncay GenรงoฤŸlu | Cybersecurity | Best Researcher Award

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Assoc. Prof. Dr. Muharrem Tuncay GenรงoฤŸlu | Cybersecurity | Best Researcher Award

Assoc. Prof. Dr. Muharrem Tuncay GenรงoฤŸlu | Fฤฑrat University | Turkey

๐Ÿ“Œ Assoc. Prof. Dr. Muharrem Tuncay GenรงoฤŸlu is a distinguished researcher in Applied Mathematics, Cryptology, and Cybersecurity. He holds dual PhDsโ€”one in Applied Mathematics from Fฤฑrat University (Tรผrkiye) and another in Cryptology from Vector Sciences Academy (Azerbaijan). With expertise in cybersecurity, cryptographic systems, and artificial intelligence, he has worked with institutions like Fฤฑrat University, National Defense University, and Ahmet Yesevi University. His research spans random number generation, blockchain, and quantum computing, and he has published extensively in international journals. A member of multiple prestigious associations, he is actively involved in COST projects and TรœBฤฐTAK-funded research.

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Assoc. Prof. Dr. Muharrem Tuncay GenรงoฤŸlu is a highly deserving candidate for the Best Researcher Award due to his groundbreaking contributions to Applied Mathematics, Cryptology, and Cybersecurity. His dual PhDs and extensive work with academic and defense institutions highlight his expertise and leadership in these critical fields.

Education & Experience

  • Ph.D. in Applied Mathematics โ€“ Fฤฑrat University (2013)
  • Ph.D. in Cryptology โ€“ Vector Sciences Academy, Azerbaijan
  • M.Sc. in Applied Mathematics โ€“ Fฤฑrat University (1995)
  • B.Sc. in Mathematics โ€“ Fฤฑrat University (1992)
  • B.Sc. in Mathematical Engineering โ€“ Istanbul Technical University (1997)
  • B.Sc. in Computer Engineering โ€“ Texas A&M University (2017)
  • International Relations (English, Ongoing) โ€“ Anadolu University
  • Senior Associate Professor โ€“ Fฤฑrat University (2015-Present)
  • Lecturer & Researcher โ€“ National Defense University (2017-Present)
  • Lecturer โ€“ Ahmet Yesevi University
  • Postdoctoral Researcher โ€“ Technical University of Berlin (2014)
  • Head of Department & Teacher โ€“ Private Sector (1988-2004)
  • Chairman of the Board โ€“ TEB EฤŸitim Hizmetleri (2004-2010)

Professional Development

๐Ÿ“š Dr. GenรงoฤŸlu has actively contributed to cybersecurity, cryptographic modeling, and artificial intelligence. He has received specialized training in ISO 27001 Information Security, Cyber-Terrorism, and Cyber Defense. As an academic advisor, he has guided over 50 masterโ€™s theses, including current research on cryptocurrency analysis using deep learning. He has led major TรœBฤฐTAK-funded projects and is a member of international research groups like COST Actions. His collaborations with global cybersecurity organizations showcase his dedication to strengthening data security and cryptographic resilience.

Research Focus

๐Ÿ”ฌ Dr. GenรงoฤŸlu’s research spans applied mathematics, cybersecurity, cryptology, and artificial intelligence. His TรœBฤฐTAK 1002 project explored random number generation through chemical reactions, a crucial innovation in cryptographic security ๐Ÿ”ข. His work in blockchain, quantum cryptography, and network security addresses threat modeling, privacy preservation, and cyber intelligence ๐Ÿ”. As a principal investigator in CHIST-ERA Distributed Systems, he contributes to privacy-enhancing cryptographic techniques. His contributions in COST Actions on mathematical modeling, quantum networks, and biological computation further cement his role as a leader in future-proof cryptographic systems.

Awards & Honors

๐Ÿ† Awards & Recognitions:

  • TรœBฤฐTAK 1002 Grant โ€“ Project on Random Number Generation using Chemical Reactions ๐Ÿ…
  • COST Action Leadership โ€“ Contributions to CA18232, CA21109, CA21169 ๐ŸŒ
  • Researcher in Distributed AI Lab โ€“ Technical University of Berlin (2014) ๐Ÿค–
  • ISO 27001 Information Security Certification โ€“ IRCA-IPC ๐Ÿ›ก๏ธ
  • Cybersecurity & Cyber-Terrorism Certifications โ€“ Various Institutions ๐Ÿ”“

Publication Top Notes:

  • ๐Ÿ”ฌ Use of quantum differential equations in sonic processes โ€“ Applied Mathematics and Nonlinear Sciences,ย  (Cited by: 62)
  • ๐Ÿ” Importance of Cryptography in Information Security โ€“ IOSR Journal of Computer Engineering (IOSR-JCE),ย  (Cited by: 43)
  • ๐Ÿง  Numerical simulations to the nonlinear model of interpersonal relationships with time fractional derivative โ€“ AIP Conference Proceedings,ย  (Cited by: 43)
  • ๐Ÿ”“ Cryptanalysis of a new method of cryptography using Laplace transform hyperbolic functions โ€“ Communications in Mathematics and Applications,ย  (Cited by: 24)
  • ๐Ÿ”ข Use of integral transform in cryptology โ€“ Science and Engineering Journal of Fฤฑrat University,ย  (Cited by: 18)
  • ๐Ÿซ Ortaokul รถฤŸrencilerinin bilgi gรผvenliฤŸi farkฤฑndalฤฑฤŸฤฑ โ€“ Savunma Bilimleri Dergisi,ย  (Cited by: 10)

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. ๐Ÿš€

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. ๐Ÿ…

Education

๐ŸŽ“ 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 Masterโ€™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. Liโ€™s education has provided a strong foundation for her innovative contributions to the rapidly evolving field of cybersecurity and intelligent systems. ๐Ÿ“˜

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. ๐ŸŒ

Awards and Honors

๐Ÿ† Dr. Ling Liโ€™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. ๐ŸŽ–๏ธ

Research Focus

๐Ÿ” Dr. Liโ€™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. ๐ŸŒŸ

Publication Top Note:

Title: Cloudโ€“Edgeโ€“End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments
Year: 2024

 

 

 

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.

๐ŸŽ“ย Dr. Jinyan Wang is a renowned professor at the School of Computer Science and Engineering, Guangxi Normal University, China. With expertise inย machine learningย andย information security, her research addresses critical challenges in data analysis and digital protection.ย ๐Ÿ”ย She has authored over 50 impactful publications in prestigious international journals and conferences, contributing significantly to the advancement of computer science.ย ๐Ÿ“šย Dr. Wangโ€™s academic journey includes advanced degrees in computer science and a visiting scholar position at East China Normal University.ย ๐ŸŒย As an educator and researcher, she is dedicated to fostering innovation and mentoring future technology leaders.ย ๐Ÿ’ปโœจ

Publication Profile

Googlescholar

Education & Experience:

  • ๐ŸŽ“ย B.Sc.ย in Computer Science and Information Technology, Northeast Normal University (2005).
  • ๐ŸŽ“ย M.Sc.ย in Computer Science and Information Technology, Northeast Normal University (2008).
  • ๐ŸŽ“ย Ph.D.ย in Computer Science and Information Technology, Northeast Normal University (2011).
  • ๐Ÿซย Professor, School of Computer Science and Engineering, Guangxi Normal University, China (Current).
  • ๐ŸŒย 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

๐ŸŒŸย Dr. Jinyan Wang has established herself as a leading figure in computer science, specializing inย machine learningย andย information security. With over 50 research publications in renowned international journals and conferences, she has significantly advanced these fields.ย ๐Ÿ“ˆย 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.ย ๐ŸŽ“๐Ÿ’ป

Research Focus

๐Ÿ”ย Dr. Jinyan Wang’s research centers onย machine learningย andย 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.ย ๐Ÿค–ย Simultaneously, her contributions to information security aim to safeguard digital systems and protect sensitive data from cyber threats.ย ๐Ÿ”ย 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.ย ๐ŸŒ๐Ÿ“Š

Awards and Honors

  • ๐Ÿ†ย Best Paper Awardย โ€“ Recognized for excellence in vision-language research.
  • ๐Ÿฅ‡ย Graduate Fellowshipย โ€“ National Tsing Hua University, Taiwan.
  • ๐Ÿฅ‰ย Outstanding Thesis Awardย โ€“ Shaanxi Normal University, China.
  • ๐ŸŽ–๏ธย Research Excellence Recognitionย โ€“ vivo AI Lab, 2019.
  • ๐ŸŒŸย Academic Merit Scholarshipย โ€“ Southwest Minzu University, China.

Publication Highlights

  1. A perturb biogeography based optimization with mutation for global numerical optimizationย – Cited by 106 (2011)ย ๐Ÿ“Š
  2. Two privacy-preserving approaches for publishing transactional data streamsย – Cited by 36 (2018)ย ๐Ÿ”
  3. Fuzzy multiset finite automata and their languagesย – Cited by 34 (2013)ย ๐Ÿ”„
  4. Real-time reversible data hiding with shifting block histogram of pixel differences in encrypted imageย – Cited by 31 (2019)ย ๐Ÿ–ผ๏ธ
  5. Two privacy-preserving approaches for data publishing with identity reservationย – Cited by 24 (2019)ย ๐Ÿ›ก๏ธ
  6. Soft polygroupsย – Cited by 22 (2011)ย ๐Ÿ“
  7. Two approximate algorithms for model countingย – Cited by 21 (2017)ย ๐Ÿ”ข

Ms. Qiping Wei | Security Analysis | Women Researcher Award

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Ms. Qiping Wei | Security Analysis | Women Researcher Award

Ms. Qiping Wei, University of Texas at Arlington, United States

Ms. Wei, a Ph.D. graduate in Computer Science with a focus on testing and security analysis of Solidity smart contracts, has demonstrated remarkable dedication to advancing blockchain technology. Her perseverance, highlighted by the extensive revision process of her first journal paper published in 2024, underscores her commitment to high-quality research. Leading innovative projects that integrate reinforcement learning and large language models to enhance Solidity smart contract security, Ms. Wei is at the forefront of blockchain technology and AI applications. Her impactful work and leadership in the field reflect her significant contributions and align with the values of the Research for Women Researcher Award.

Professional Profile:

Orcid
Google Scholar

Suitability for the Award

Ms. Qiping Wei is a highly suitable candidate for the Research for Women Researcher Award. Her specialization in the testing and security analysis of Solidity smart contracts is timely and critical, given the growing importance of blockchain technology. Her successful publication record, leadership in innovative research projects, and contributions to global technology make her a standout researcher in her field.

Academic Background and Achievements:

Ms. Wei has an impressive academic trajectory, having completed her Ph.D. in Computer Science with a specialization in testing and security analysis of Solidity smart contracts. Her educational journey, marked by persistence and dedication, reflects her commitment to advancing in a challenging field.

Her determination is evident from the multiple rounds of revision her first paper underwent before its eventual acceptance, highlighting her resilience and dedication to high-quality research. This perseverance culminated in the publication of her first journal paper in 2024, showcasing her contributions to the field.

Research Contributions:

Ms. Weiโ€™s research focuses on the critical area of blockchain technology, specifically the testing and security analysis of Solidity smart contracts. This work is increasingly important as blockchain systems become more integral to global networks.

She is leading two innovative projects that utilize reinforcement learning and large language models (LLMs) to improve the symbolic execution of Solidity smart contracts. These projects aim to enhance the security and reliability of blockchain systems, demonstrating her leadership in advancing technology at the intersection of AI and blockchain.

Impact and Innovation:

Her work has made a tangible impact, as evidenced by the significant interest in her publications. Her paper on the application of LLMs in engineering has garnered substantial attention, indicating the relevance and significance of her research.

By addressing security challenges in blockchain technology and exploring advanced AI techniques, Ms. Wei is pushing the boundaries of how these technologies can be applied to improve digital infrastructure. This aligns with the values of the Research for Women Researcher Award, which celebrates innovation and excellence in technology.

Professional Experience and Leadership:

Ms. Weiโ€™s involvement in part-time academic roles during her undergraduate years and her subsequent research efforts reflect her deep commitment to the field. Her leadership in managing research projects and contributing to advancements in blockchain security further underscores her suitability for this award.

Publication Top Note:

  • Title: Mining New Scientific Research Ideas from Quantum Computers and Quantum Communications
    • Year: 2019
    • Cited by: 6
  • Title: SmartExecutor: Coverage-Driven Symbolic Execution Guided by a Function Dependency Graph
    • Year: 2023
    • Cited by: 2
  • Title: MagicMirror: Towards High-Coverage Fuzzing of Smart Contracts
    • Year: 2023
  • Title: Sligpt: A Large Language Model-Based Approach for Data Dependency Analysis on Solidity Smart Contracts
    • Year: 2024
  • Title: SmartExecutor: Coverage-Driven Symbolic Execution Guided via State Prioritization and Function Selection
    • Year: 2024

 

 

Dr. Samah Alhazmi | Security Awards | Best Researcher Award

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Dr. Samah Alhazmi | Security Awards | Best Researcher Award

Dr. Samah Alhazmi, Saudi Electronic University, Saudi Arabia

Dr. Samah Alhazmi, an Associate Professor at Saudi Electronic University (SEU), holds a Ph.D. in Computer Science from the University of Manchester, UK, with a focus on AI, Machine Learning, and NLP. She also earned an M.Sc. in Advanced Computer Science from the same institution and a B.Sc. from King Abdul Aziz University, Jeddah. Dr. Alhazmi has served as Assistant Professor, Lecturer, and held leadership roles including Vice-Dean for Academic Affairs and Head of the Computer Science Department at SEU. Her expertise spans Data Collection and Analysis, Business and Policy Analysis, Project Management, and Curriculum Planning. She has received prestigious awards such as the IBM Blockchain Developer – Explorer Award and the Predictive Analytics Modeler – Explorer and Mastery Awards. Her notable publications include works on blockchain applications in education, Arabic SentiWordNet, and energy management in wireless sensor networks.

๐ŸŒย Professional Profile:

Google Scholar

Suitability for the Best Researcher Award

  1. Research Excellence: Dr. Alhazmiโ€™s research contributions in artificial intelligence, data mining, and sentiment analysis have made a significant impact in her field. Her work on blockchain applications and sentiment analysis is widely cited, demonstrating its influence and relevance.
  2. Leadership and Service: Dr. Alhazmi has held several leadership positions at SEU, including Vice-Dean for Academic Affairs and Head of the Computer Science Department. Her leadership has been pivotal in curriculum development, academic policy enhancement, and strategic planning.
  3. Awards and Recognition: The numerous awards she has received highlight her exceptional achievements and contributions to research and professional development. Her awards in blockchain development and predictive analytics reflect her proficiency in cutting-edge technologies.
  4. Teaching and Mentorship: Dr. Alhazmi has been actively involved in teaching and mentoring students, guiding their academic and professional growth. Her role in designing innovative curricula and supervising research projects underscores her commitment to education.
  5. Administrative and Strategic Contributions: Her involvement in committees related to scheduling, policy implementation, and accreditation demonstrates her effectiveness in academic administration and strategic planning.

๐ŸŽ“ Education:

Dr. Samah Alhazmi earned her Ph.D. in Computer Science from the University of Manchester, UK, focusing on AI, Machine Learning, and NLP. She also holds an M.Sc. in Advanced Computer Science from the same institution and a B.Sc. in Computer Science from King Abdul Aziz University, Jeddah.

๐Ÿ›๏ธ Professional Experience:

She is currently an Associate Professor at Saudi Electronic University (SEU), where she has also served as Assistant Professor and Lecturer. Dr. Alhazmi has held key roles including Vice-Dean for Academic Affairs, Head of the Computer Science Department, and various leadership positions within SEU.

๐Ÿ” Key Skills:

Her expertise includes Data Collection and Analysis, Business and Policy Analysis, Project Management, and Curriculum Planning. She is recognized for her leadership and research development skills.

๐Ÿ† Awards and Honors:

Dr. Alhazmi has received multiple awards, including the IBM Blockchain Developer – Explorer Award and Predictive Analytics Modeler – Explorer and Mastery Awards. She was also honored with distinction for her M.Sc. dissertation and has received several publication awards.

๐Ÿ“š Research Contributions:

Notable publications include “Blockchain-based Applications in Education” (Applied Sciences, 2019), “Arabic SentiWordNet in Relation to SentiWordNet 3.0” (Linguistic Research, 2013), and “Efficient Clustering Based Routing for Energy Management in Wireless Sensor Networks” (Electronics, 2022).

Publication Top Notes:

  • Title: Blockchain-Based Applications in Education: A Systematic Review
    • Year: 2019
    • Citations: 468
  • Title: Arabic SentiWordNet in Relation to SentiWordNet 3.0
    • Year: 2013
    • Citations: 23
  • Title: Efficient Clustering Based Routing for Energy Management in Wireless Sensor Network-Assisted Internet of Things
    • Year: 2022
    • Citations: 11
  • Title: Detection of Primary User Emulation Attack Using the Differential Evolution Algorithm in Cognitive Radio Networks
    • Year: 2022
    • Citations: 10
  • Title: Applsci-09-02400. Pdf
    • Year: 2019
    • Citations: 5

 

 

 

Prof. Muhammad Abuturab | cryptosystem Awards | Best Researcher Award

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Prof. Muhammad Abuturab | cryptosystem Awards | Best Researcher Award

Prof. Muhammad Abuturab , Maulana Azad National Urdu University , India

Professor Muhammad Rafiq Abuturab is currently a Professor at the Department of Physics, Maulana Azad National Urdu University, Hyderabad, India. With a specialization in optical information processing, optical signal processing, and digital holography, his research focuses on advanced cryptosystems and computational imaging techniques. He has an impressive academic career, having served in various capacities at institutions like the Muzaffarpur Institute of Technology and Maulana Azad College of Engineering and Technology. Prof. Abuturab has collaborated internationally with scholars like Prof. Ayman Alfalou from France and Prof. Zhengjun Liu from China. He has published extensively, with significant citations and a notable h-index, reflecting his impact in the field. His educational background includes a Ph.D. in Physics and a Post-Doctoral Fellowship at ISEN Brest, France. Prof. Abuturab is also proficient in teaching subjects such as optics, quantum mechanics, and electromagnetic theory.

Professional Profile:

Orcid

๐ŸŽ“Education:

Professor Muhammad Rafiq Abuturab holds a Ph.D. in Physics from M. U., India. He further advanced his expertise through a Post-Doctoral Fellowship at LABISENโ€“Yncrรฉa Ouest (Yncrรฉa-Ouest Research Laboratory), ISEN Brest, France.

๐ŸขWork Experience:

Professor Muhammad Rafiq Abuturab is currently a Professor at Maulana Azad National Urdu University in Hyderabad, India, a position he has held since November 1, 2023. Prior to this, he served as an Associate Professor at Muzaffarpur Institute of Technology in Muzaffarpur, India, from September 9, 2022, to October 31, 2023. Before his tenure there, he was an Assistant Professor at Maulana Azad College of Engineering and Technology in Patna, India, from January 1, 2010, to September 8, 2022. Additionally, he worked as a Senior Lecturer at the same institution from February 8, 2009, to December 31, 2009.

๐Ÿ†Awards:

Professor Muhammad Rafiq Abuturab has made significant contributions to his field through numerous publications, which have garnered significant citations and a notable h-index, reflecting his impactful research. He has also engaged in international collaborations with esteemed scholars such as Prof. Ayman Alfalou from France and Prof. Zhengjun Liu from China, further enhancing the reach and influence of his work.

Publication Top Notes:

  • Multiple color image fusion, compression, and encryption using compressive sensing, chaotic-biometric keys, and optical fractional Fourier transform
  • Securing multiple-single-channel color image using unequal spectrum decomposition and 2D-SLIM biometric keys
  • Coherent superposition based single-channel color image encryption using gamma distribution and biometric phase keys
    • Conference: Pattern Recognition and Tracking XXXII
    • Year: 2021
    • Date: 2021-04-12
    • DOI: 10.1117/12.2586814
    • Contributors: Muhammad Rafiq Abuturab
  • A superposition based multiple-image encryption using Fresnel-Domain high dimension chaotic phase encoding
    • Journal: Optics and Lasers in Engineering
    • Year: 2020
    • Contributors: Muhammad Rafiq Abuturab
  • Multiple information fusion and encryption using DWT and Yang-Gu mixture amplitude-phase retrieval algorithm in fractional Fourier domain
    • Conference: 4th International Conference on Soft Computing: Theories and Applications (SoCTA 2019), Proceedings of SoCTA, Advances in Intelligent Systems and Computing, Springer
    • Year: 2020
    • Contributors: Muhammad Rafiq Abuturab

 

 

Ms. Kritika | Cybersecurity Awards | Best Researcher Award

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Ms. Kritika | Cybersecurity Awards | Best Researcher Award

Ms. Kritika, India

๐ŸŽ“ Ms. Kritika, a dynamic Computer Science postgraduate ๐Ÿ–ฅ๏ธ, holds both a Master’s and Bachelor’s degree from GGSIP University in New Delhi, India ๐Ÿ‡ฎ๐Ÿ‡ณ. As an Independent Researcher based in Delhi, her expertise in cybersecurity is evident through her extensive contributions, including peer-reviewed articles and book chapters ๐Ÿ“š. Kritika’s research interests span interdisciplinary cybersecurity domains, code smell detection in software ๐Ÿงพ, and vulnerability analysis and mitigation strategies ๐Ÿ›ก๏ธ. Her ambition and dedication drive her to uncover new insights and best practices in the ever-evolving landscape of cybersecurity.

๐ŸŒ Professional Profile:

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๐ŸŽ“ 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

๐Ÿข Professional Experience

  • Independent Researcher – Delhi, India

๐Ÿ“ Research Interests

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

Publication Top Notes:

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

 

 

 

 

 

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. ๐ŸŒ๐Ÿ”’๐Ÿ–ฅ๏ธ

Professional Profile:

Google Scholar

Orcid

๐ŸŽ“ 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.

๐Ÿ’ผ 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.

๐Ÿ”ง 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.

๐Ÿ“š 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.

๐Ÿ† 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

 

 

 

 

 

Dr. Yongzhi Wang | Information Security | Best Researcher Award

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Dr. Yongzhi Wang | Information Security | Best Researcher Award

Dr. Yongzhi Wang, Texas A&M University-Corpus Christi,ย  United States

Dr. Yongzhi Wang is an Assistant Professor at Texas A&M University at Corpus Christi, bringing a wealth of experience from academia and industry. With prior roles at Park University in Missouri and Xidian University in China, as well as a stint as a Staff Software Engineer at IBM, he possesses a comprehensive understanding of both theoretical and practical aspects of computer science. Dr. Wang holds a Ph.D. in Computer Science from Florida International University, focusing on secure outsourced computing frameworks in cloud environments. His academic journey includes Master’s degrees from both Florida International University and Xidian University, along with a Bachelor’s degree from Xidian University. Recognized for his scholarly contributions, Dr. Wang has received accolades such as the Trending Article recognition from IEEE Transactions on Computers and the Distinguished Faculty Scholar Award from Park University. He was also honored with the Best Paper Award at the 2017 International Conference on Networking and Network Applications.

๐ŸŒ Professional Profile:

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๐ŸŽ“ Education:

Dr. Wang earned his Doctor of Philosophy in Computer Science from Florida International University, where his dissertation focused on Constructing Secure Outsourced Computing Frameworks in the Cloud Environment. He also holds Master’s degrees in Computer Science from Florida International University and Xidian University, as well as a Bachelor’s degree in Computer Science from Xidian University.

๐Ÿš€ Professional Experience:

Yongzhi Wang is currently serving as an Assistant Professor at Texas A&M University at Corpus Christi. Previously, he held positions as an Associate Professor and Assistant Professor at Park University in Missouri, and as an Assistant Professor at Xidian University in China. He also gained valuable industry experience as a Staff Software Engineer at IBM in China.

๐Ÿ… Awards:

Yongzhi Wang has received several prestigious awards, including the Trending Article recognition from IEEE Transactions on Computers and the Distinguished Faculty Scholar Award from Park University. He was also honored with the Best Paper Award at the 2017 International Conference on Networking and Network Applications.

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