Lidan Wang | Chaotic Cryptography | Best Researcher Award

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Prof. Lidan Wang | Chaotic Cryptography | Best Researcher Award

Supervisor at Southwest University, China

Summary:

Prof. Lidan Wang is a distinguished professor and doctoral supervisor in the College of Artificial Intelligence at Southwest University in Chongqing, China. She earned her B.E. degree in Automatic Control from Nanjing University of Science and Technology in 1999 and her Ph.D. in Computer Software and Theory from Chongqing University in 2008. Furthering her academic journey, she completed post-doctoral research at Chongqing University in 2012. Prof. Wang’s research focuses on artificial intelligence, particularly in the areas of artificial neural networks, neural morphological systems, memristor devices and systems, chaotic systems, and nonlinear circuit design. She has led over 20 significant research projects, including those funded by the National Key R&D Program and the National Natural Science Foundation of China.

 

Profile:

Education:

Prof. Lidan Wang earned her Bachelor of Science degree in Electrical Engineering from Nanjing University of Science and Technology, China, in 1996. She pursued her Master’s degree and Ph.D. in Electrical Engineering at Chongqing University, China, completing her Ph.D. in 2008. Additionally, Prof. Wang conducted post-doctoral research at Chongqing University from 2012 to 2014, further advancing her expertise in the field of artificial intelligence and neural networks.

Professional Experience:

Prof. Lidan Wang began her academic career as an Associate Professor at Southwest University, Chongqing, China, serving from 2008 to 2012. She was promoted to Professor in 2013, a position she continues to hold. In addition to her role at Southwest University, Prof. Wang has gained international experience through various visiting professorships, including at Imperial College London, Nanyang Technological University, Texas A&M University at Qatar, and the University of Tasmania. Her leadership extends beyond teaching and research, as she currently serves as the deputy director of the Chongqing Key Laboratory of Brain-like Computing and Intelligent Control, Secretary General of the Chongqing Artificial Intelligence Society, and Director of the Chongqing Young Science and Technology Leaders Association.

Research Interests:

Prof. Lidan Wang’s research interests lie primarily in the realm of artificial intelligence, with a strong focus on artificial neural networks and neural morphological systems. Her work explores memristor devices and systems, chaotic systems, and nonlinear circuit design. Prof. Wang is particularly engaged in advancing the understanding and application of these technologies, aiming to develop innovative solutions and systems that integrate these complex components. Her research contributes significantly to the fields of artificial intelligence and neural network technologies.

Skills:

Prof. Lidan Wang possesses advanced skills in artificial intelligence, encompassing artificial neural networks and neural morphological systems. She is proficient in the design and implementation of memristor devices and systems, as well as in the analysis and development of chaotic systems and nonlinear circuits. Her expertise extends to leading and managing research projects, having successfully undertaken numerous high-profile projects including National Key R&D Program subprojects and various funding initiatives. Additionally, Prof. Wang has a strong background in patent development and academic publishing, contributing to her distinguished reputation in the scientific community.

Conclution:

Given her exceptional research contributions, extensive publication record, numerous awards, and significant leadership roles, Prof. Lidan Wang is a highly deserving candidate for the Best Researcher Award. Her work not only advances the field of artificial intelligence but also inspires and influences the global research community.

Publication Tob Noted:

Memristor-based cellular nonlinear/neural network: design, analysis, and applications

  • Authors: S. Duan, X. Hu, Z. Dong, L. Wang, P. Mazumder
  • Journal: IEEE Transactions on Neural Networks and Learning Systems
  • Volume: 26, Issue 6
  • Pages: 1202-1213
  • Year: 2014
  • Citations: 297

Electronic nose feature extraction methods: A review

  • Authors: J. Yan, X. Guo, S. Duan, P. Jia, L. Wang, C. Peng, S. Zhang
  • Journal: Sensors
  • Volume: 15, Issue 11
  • Pages: 27804-27831
  • Year: 2015
  • Citations: 296

Exponential stability of complex-valued memristive recurrent neural networks

  • Authors: H. Wang, S. Duan, T. Huang, L. Wang, C. Li
  • Journal: IEEE Transactions on Neural Networks and Learning Systems
  • Volume: 28, Issue 3
  • Pages: 766-771
  • Year: 2016
  • Citations: 159

A novel memristive Hopfield neural network with application in associative memory

  • Authors: J. Yang, L. Wang, Y. Wang, T. Guo
  • Journal: Neurocomputing
  • Volume: 227
  • Pages: 142-148
  • Year: 2017
  • Citations: 158

Memristor model and its application for chaos generation

  • Authors: L. Wang, E. Drakakis, S. Duan, P. He, X. Liao
  • Journal: International Journal of Bifurcation and Chaos
  • Volume: 22, Issue 08
  • Article Number: 1250205
  • Year: 2012
  • Citations: 147

Volatile and nonvolatile memristive devices for neuromorphic computing

  • Authors: G. Zhou, Z. Wang, B. Sun, F. Zhou, L. Sun, H. Zhao, X. Hu, X. Peng, J. Yan, …
  • Journal: Advanced Electronic Materials
  • Volume: 8, Issue 7
  • Article Number: 2101127
  • Year: 2022
  • Citations: 129

Resistive switching memory integrated with amorphous carbon-based nanogenerators for self-powered device

  • Authors: G. Zhou, Z. Ren, L. Wang, J. Wu, B. Sun, A. Zhou, G. Zhang, S. Zheng, S. Duan, …
  • Journal: Nano Energy
  • Volume: 63
  • Article Number: 103793
  • Year: 2019
  • Citations: 126

Artificial and wearable albumen protein memristor arrays with integrated memory logic gate functionality

  • Authors: G. Zhou, Z. Ren, L. Wang, B. Sun, S. Duan, Q. Song
  • Journal: Materials Horizons
  • Volume: 6, Issue 9
  • Pages: 1877-1882
  • Year: 2019
  • Citations: 123

Capacitive effect: An original of the resistive switching memory

  • Authors: G. Zhou, Z. Ren, B. Sun, J. Wu, Z. Zou, S. Zheng, L. Wang, S. Duan, Q. Song
  • Journal: Nano Energy
  • Volume: 68
  • Article Number: 104386
  • Year: 2020
  • Citations: 118

 

Samiulla Itoo | Cryptographic Techniques | Best Researcher Award

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Dr. Samiulla Itoo | Cryptographic Techniques | Best Researcher Award

Research Scholar at Jamia Millia Islamia, India

Summary:

Dr. Samiulla Itoo is an accomplished mathematician specializing in applied mathematics and cryptographic techniques. He earned his Ph.D. in Applied Mathematics from Jamia Millia Islamia, New Delhi, where his research focused on the design and analysis of authentication protocols using cryptographic techniques. Dr. Itoo also holds an M.Phil. in Mathematics from Dr. Bhimrao Ambedkar University, Agra, where he was a Gold Medallist, and a Master of Science in Mathematics from Jamia Millia Islamia. His academic journey began with a Bachelor of Science in Mathematics, Physics, Geography, and English from the University of Kashmir. Dr. Itoo has made significant contributions to the field through his research on secure and privacy-preserving authentication protocols for various applications, including smart agriculture, industrial sensor networks, and medical data sharing. His work has been published in prominent journals such as IEEE Access and Vehicular Communications. In addition to his research, Dr. Itoo has been recognized with the UGC Non-Net Fellowship from the Ministry of Electronics and Information Technology, Government of India. His expertise includes cryptographic techniques, authentication protocols, and their applications in sectors like smart grids, internet of things, and digital twin communication.

Profile:

Education:

Dr. Samiulla Itoo has a robust educational background in mathematics, beginning with a Bachelor of Science in Mathematics, Physics, Geography, and English from the University of Kashmir. He pursued his Master’s in Mathematics at Jamia Millia Islamia, New Delhi, from 2013 to 2016. Dr. Itoo further advanced his studies by earning an M.Phil. in Mathematics from Dr. Bhimrao Ambedkar University, Agra, from 2016 to 2019, where he was honored as a Gold Medallist. He completed his academic journey with a Ph.D. in Applied Mathematics from Jamia Millia Islamia, New Delhi, from 2019 to 2023, focusing on the design and analysis of authentication protocols using cryptographic techniques.

Professional Experience:

Dr. Samiulla Itoo has amassed a wealth of professional experience in the field of applied mathematics and cryptographic techniques. Since June 2019, he has been actively involved in designing and analyzing authentication protocols at Jamia Millia Islamia, New Delhi. His work focuses on developing secure authentication methods for various sectors including the medical field, smart grids, the Internet of Electric Things, digital twin communication, and smart homes. He is guided by Dr. Musheer Ahmad, a Professor in the Department of Applied Sciences and Humanities at Jamia Millia Islamia. Prior to this, from July 2017 to July 2019, Dr. Itoo conducted research on fuzzy mathematics and its applications at Dr. Bhimrao Ambedkar University, Agra, under the supervision of Dr. Sanjeev Kumar. His efforts have consistently contributed to advancing the security and efficiency of authentication protocols in critical technological domains.

Research Interests:

Dr. Samiulla Itoo’s research interests encompass a wide range of topics in applied mathematics and cryptography. His primary focus lies in the design and analysis of authentication protocols using cryptographic techniques. He is particularly interested in developing secure and efficient authentication methods for applications in various sectors such as the medical field, smart grids, Internet of Electric Things, digital twin communication, and smart homes. His research extends to the areas of fuzzy mathematics and its applications, where he has made significant contributions. Dr. Itoo is dedicated to enhancing the security and reliability of systems through innovative cryptographic solutions, addressing the challenges posed by emerging technologies and complex network environments.

Skills:

Dr. Samiulla Itoo possesses a diverse skill set that spans programming, mathematical analysis, and cryptographic techniques. His skills include proficiency in programming languages such as Python, C, C++, and Advanced JAVA, which are essential for developing and implementing cryptographic algorithms and mathematical models. Dr. Itoo is adept at using LaTeX for document preparation, crucial for academic publications and technical reports. His expertise also extends to the design and analysis of authentication protocols using cryptographic techniques, demonstrating his strong theoretical and practical understanding of cybersecurity principles. Moreover, Dr. Itoo has hands-on experience in fuzzy mathematics, contributing to his ability to tackle complex problems in applied mathematics and cryptography effectively.

Fellowships & Awards:

2019–2022: UGC Non-Net Fellowship of Ministry of Electronics and Information Technology (MeitY), Government of India, as a PhD research scholar in Jamia Millia Islamia.

Academic Achievements & Recognitions:

2019: Gold Medallist in M.Phil. Mathematics, Department of Mathematics, Dr. Bhimrao Ambedkar University, Agra.

Publications:

Hongwei Zhu | Cryptographic Implementations | Best Researcher Award

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Dr. Hongwei Zhu | Cryptographic Implementations | Best Researcher Award

Assistant Research Fellow of Tsinghua Shenzhen International Graduate School, Tsinghua University, China

Summary:

Dr. Hongwei Zhu is a postdoctoral fellow at Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China. He received his B.Sc. degree in Mathematics from Anqing Normal University in 2016, followed by an M.Sc. and Ph.D. in Mathematics from Anhui University in 2019 and 2023, respectively. His research interests lie in cryptography and coding theory. Dr. Zhu was funded by the China Scholarship Council (CSC) project to train with Professor Sihem Mesnager at the University de Paris VIII, France, from November 2021 to December 2022. He has actively participated in over 15 academic conferences, delivering a conference report at the 7th International Symposium on Coding and Cryptography in May 2023. Throughout his academic career, Dr. Zhu has received national scholarships and academic awards, contributing significantly to his field through numerous publications.

Profile:

Education:

Dr. Hongwei Zhu received his B.Sc. degree in Mathematics from Anqing Normal University, Anqing, China, in 2016. He then pursued his M.Sc. degree in Mathematics at Anhui University, Hefei, China, which he completed in 2019. Continuing his academic journey at Anhui University, he earned his Ph.D. degree in Mathematics in 2023. During his Ph.D. studies, Dr. Zhu was awarded funding from the China Scholarship Council (CSC) project, which facilitated his training with Professor Sihem Mesnager at the University de Paris VIII in France from November 2021 to December 2022, enriching his research with valuable international experience.

Professional Experience:

Dr. Hongwei Zhu is currently a postdoctoral fellow at Tsinghua Shenzhen International Graduate School, Tsinghua University, in Shenzhen, China. His academic journey began with a B.Sc. degree in Mathematics from Anqing Normal University in 2016, followed by an M.Sc. and Ph.D. in Mathematics from Anhui University, completed in 2019 and 2023, respectively. From November 2021 to December 2022, Dr. Zhu was funded by the China Scholarship Council (CSC) project and trained under Professor Sihem Mesnager at the University de Paris VIII, France, where he gained valuable international academic experience. His work primarily focuses on cryptography and coding theory. Over the past five years, he has actively engaged in the academic community, participating in over 15 conferences and delivering a notable conference report at the 7th International Symposium on Coding and Cryptography in May 2023. Dr. Zhu’s dedication to research and excellence has been recognized through various national scholarships and academic awards.

Research Interests:

Dr. Hongwei Zhu’s research interests lie in the fields of cryptography and coding theory. He focuses on various aspects of linear codes, cyclic codes, and their derivatives, including the weight spectrum, basic parameters, and asymptotic behavior. Dr. Zhu has made significant contributions to solving public problems related to the specific parameters of anti-primitive BCH codes, as well as studying the weight spectral cardinality of general linear codes under the Hamming metric. His work also involves analyzing the asymptotic goodness of derivative codes of several types of cyclic codes and investigating the weight problems of b-symbol pairs in irreducible cyclic codes and Kasami codes. Additionally, Dr. Zhu has systematically explored the parameters of cyclic codes derived from low differentially uniform functions, leading to important advancements in the field and earning him recognition for his research excellence.

Skills:

Dr. Hongwei Zhu possesses a diverse set of skills that complement his research in cryptography and coding theory. He is proficient in mathematical modeling and analysis, which are essential for his work on linear codes, cyclic codes, and their derivatives. Dr. Zhu has strong analytical skills, enabling him to solve complex problems related to the weight spectrum, basic parameters, and asymptotic behavior of codes. He is also experienced in the use of symmetric polynomials and attribute-based encryption for secure data exchange. Dr. Zhu is adept at conducting in-depth research and has a proven track record of publishing in high-impact journals and presenting at international conferences. His collaborative skills have allowed him to work effectively with researchers from various institutions, including his joint training with Professor Sihem Mesnager at the University de Paris VIII. Additionally, Dr. Zhu’s ability to integrate theoretical knowledge with practical applications makes him a valuable asset in the field of cryptography and coding theory.

Awards & Honors:

Dr. Hongwei Zhu has received several awards and honors in recognition of his outstanding contributions to the field of cryptography and coding theory. He was awarded national scholarships for graduate students, as well as academic scholarships for PhD students, highlighting his academic excellence. Dr. Zhu received funding from the China Scholarship Council (CSC) project from November 2021 to December 2022, which enabled him to gain valuable international experience by training with Professor Sihem Mesnager at the University de Paris VIII. He has actively participated in over 15 academic conferences, both domestically and internationally, and delivered a notable conference report at the 7th International Symposium on Coding and Cryptography in Xinxiang, Henan, in May 2023. His significant contributions to the study of cyclic codes from low differentially uniform functions led to his nomination for the “Best Researcher Award”. These recognitions attest to Dr. Zhu’s dedication, expertise, and impact in his field.

Publications:

Indu Radhakrishnan | Cryptography | Best Researcher Award

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Ms. Indu Radhakrishnan | Cryptography | Best Researcher Award

Research scholar at PES University, India

Summary:

Ms. Indu Radhakrishnan is a dedicated educator and researcher currently serving as a Research Scholar pursuing M.Tech by Research in the Department of Computer Science and Engineering at PES University. With over 13 years of teaching experience, she has contributed significantly to the field of computer science education. Her research focuses on Cryptography, particularly in IoT security. Ms. Radhakrishnan has held various academic roles, including Assistant Professor at PES University and Coordinator & Assistant Professor at Surana College Peenya Campus. She holds a Master of Computer Applications from VTU – PESSE and a Bachelor of Science from Bangalore University.

Profile:

Education:

Ms. Indu Radhakrishnan holds a Master of Computer Applications (MCA) degree from VTU – PESSE, which she completed in 2010. Prior to her postgraduate studies, she earned a Bachelor of Science (BSc) degree from Bangalore University in 2007.

Professional Experience:

Ms. Indu Radhakrishnan brings over 13 years of teaching experience in computer science and engineering. Her current role as a Research Scholar at PES University involves conducting advanced research in Cryptography, focusing on IoT security. Previously, she served as an Assistant Professor at PES University, where she played a pivotal role in guiding student projects and organizing academic events. Prior to that, Ms. Radhakrishnan served as Coordinator & Assistant Professor at Surana College Peenya Campus, overseeing curriculum development and administrative responsibilities. Her expertise spans programming, networks, web designing, and she has actively contributed to workshops and faculty development programs in the field.

Research Interests:

Ms. Indu Radhakrishnan’s research interests span the domains of computer science and engineering, with a particular focus on Cryptography and IoT security. Her work delves into advanced cryptographic techniques aimed at enhancing security measures in Internet of Things (IoT) environments. She explores topics such as secure communication protocols, data encryption methods, and cryptographic key management systems to address the evolving challenges of cybersecurity in interconnected IoT ecosystems. Her research aims to contribute to the development of robust and resilient security solutions for emerging technologies and applications.

Publications:

Efficiency and Security Evaluation of Lightweight Cryptographic Algorithms for Resource-Constrained IoT Devices

  • Authors: I. Radhakrishnan, S. Jadon, P.B. Honnavalli
  • Journal: Sensors
  • Year: 2024
  • Volume and Issue: 24(12)
  • Pages: 4008