Amber Hayat | Biometrics Security | Women Researcher Award

Posted on by ScienceFather

Mrs. Amber Hayat | Biometrics Security | Women Researcher Award

PhD student of IIT Delhi, India

Mrs. Amber Hayat appears to be a strong candidate for the Research for Women Researcher Award based on her extensive contributions and achievements in the fields of biometrics, security, machine learning, deep learning, and the Internet of Things (IoT). Here are some key points that highlight her suitability:

Profile:

Research Contributions

Diverse Research Topics:

Amber’s work encompasses a variety of topics within the realm of information technology, specifically focusing on biometrics and security. Her research on template protection in biometrics is particularly noteworthy and relevant to current security challenges.

Awards and Fellowships:

She has received several accolades, such as the IEEE Travel Grant and the TEQIP II Fellowship for her M.Tech studies, demonstrating recognition from the academic community for her work and potential.

Professional Experience

Academic Positions:

Amber has held multiple academic positions, including as an Assistant Professor at various institutions. Her experience at the University of Petroleum & Energy Studies (UPES) and her roles in curriculum development, project mentorship, and organizing academic events showcase her dedication to teaching and research.

Project Involvement:

She has led and participated in several impactful projects, such as fingerprint template protection, online signature template protection, and real-time monitoring of water bodies using IoT. These projects reflect her ability to apply research to practical and socially relevant problems.

Teaching and Mentorship

Teaching Assistantships:

Amber has served as a teaching assistant at IIT Delhi, contributing to courses on biometrics security, cryptography, algorithms, and data structures, indicating her engagement in educating the next generation of researchers and engineers.

Mentorship:

Her mentorship roles, including guiding undergraduate projects and leading teams in hackathons, highlight her commitment to nurturing young talent and fostering innovation.

Additional Contributions

Organizing Committees and Talks:

Amber has been actively involved in organizing conferences and workshops, such as the IEEE International Conference on Next Generation Computing Technologies. She has also delivered expert talks on topics like IoT and fog computing, further establishing her as a knowledgeable and influential figure in her field.

Memberships and Community Involvement:

As an IEEE and ACM member, she stays connected with the broader research community, contributing to the advancement of her fields of interest.

Conclusion

Mrs. Amber Hayat’s extensive research contributions, professional experience, teaching and mentorship roles, and active involvement in academic and professional communities make her a highly suitable candidate for the Research for Women Researcher Award. Her work not only advances scientific knowledge but also addresses real-world problems, benefiting both academia and society.

Publication Tob Noted:

Intelligent System for Skin Disease Prediction Using Machine Learning

  • Authors: AA Elngar, R Kumar, A Hayat, P Churi
  • Journal: Journal of Physics: Conference Series
  • Volume: 1998, Issue: 1
  • Article: 012037
  • Year: 2021
  • Citations: 29

Green-IoT (G-IoT) Architectures and Their Applications in the Smart City

  • Authors: M Goel, A Hayat, A Husain, S Dalal
  • Book Chapter: Green Internet of Things for Smart Cities
  • Pages: 47-59
  • Year: 2021
  • Citations: 17

FinTem: A Secure and Non-invertible Technique for Fingerprint Template Protection

  • Authors: A Hayat, SS Ali, AK Bhateja, N Werghi
  • Journal: Computers & Security
  • Volume: 142
  • Article: 103876

 

Binglun Li | Critical Infrastructure | Best Researcher Award

Posted on by ScienceFather

Mr. Binglun Li | Critical Infrastructure | Best Researcher Award

None at Central South University, China.

Summary:

Binglun Li is a Master’s student in Electronic Information at Central South University, with a strong academic record and a GPA placing him in the top 20% of his class. His research focuses on discrete memristive neural networks (DMNN), exploring their modeling, synchronization, and applications in various network types. Binglun has led several innovative projects, including developing chaotic systems for image encryption and designing intelligent vehicle algorithms. His technical expertise spans STM32, FPGA, and programming languages like C++ and Python. Binglun’s achievements are recognized through multiple awards, including the School Level Scholarship and prizes in electronic design and intelligent car competitions. His work reflects a deep commitment to advancing technology and understanding complex systems.

Profile:

Education:

Binglun Li is currently pursuing a Master of Science in Electronic Information at Central South University, with an expected graduation date in May 2025. He has achieved a commendable GPA of 89.63/100, placing him in the top 20% of his cohort. Prior to this, Binglun completed his Bachelor of Science in Electronic Information Science and Technology at the same institution, graduating in July 2022 with a GPA of 87.94/100, ranking in the top 25% of his class. Throughout his academic journey, Binglun has demonstrated a strong commitment to his studies, consistently achieving high academic standards. His educational background has equipped him with a robust foundation in electronic information and science technology, preparing him for advanced research and professional challenges in his field.

Professional Experience:

Binglun Li has amassed a diverse array of professional experiences throughout his academic career. As the leader of multiple projects, including the Innovation Project of Graduate of Central South University, he has spearheaded research on anti-degradation of discrete chaotic systems and their application in image encryption. Binglun also led teams in competitions, such as the Central South University Graduate Electronic Design Competition, where he designed a chaos image encryption system based on FPGA, and the National College Student Intelligent Car Competition South China Race, focusing on omnidirectional marching algorithms. His role as a participant in projects funded by the Natural Science Foundation of China involved designing discrete memristors and locating hidden attractors in fractional-order chaotic systems. Binglun’s hands-on experience with hardware implementation and algorithm design, combined with his leadership in competitive settings, underscores his practical expertise and innovative approach in the field of electronic information.

Research Interests:

Binglun Li’s research interests center around the dynamic and innovative fields of discrete memristive neural networks (DMNN) and their wide-ranging applications. He is particularly focused on the modeling and synchronization principles of discrete memristive neuron coupling systems. His work delves into the modeling and collective dynamic behaviors of DMNNs, including synchronization control in both regular and complex networks, as well as single-layer and multilayer networks. Additionally, Binglun is keenly interested in brain dynamics, aiming to analyze activity patterns and network connections of the brain in various contexts. His research extends to brain-machine interfaces, where he seeks to uncover neural mechanisms underlying cognitive processes and the control of external devices. Binglun’s multifaceted interests reflect his commitment to advancing the understanding and application of complex neural and chaotic systems.

Skills:

Binglun Li possesses a robust skill set that spans various domains in electronic information and technology. He is proficient in operating systems such as Windows and macOS. His expertise with hardware devices includes STM32, MCS51, DSP, and FPGA, demonstrating his hands-on experience in hardware implementation. In terms of programming, Binglun is skilled in C, C++, Python, and Verilog, allowing him to tackle complex coding challenges and develop efficient algorithms. Additionally, he is adept at using LaTeX and Office for writing and documentation purposes. This diverse skill set equips Binglun with the technical prowess and versatility needed to excel in his research and professional endeavors.

Awards and Honors:

Binglun Li has received several notable awards and honors throughout his academic career. He was recognized with the School Level Scholarship, Second Prize, in October 2023, and the Enterprise Scholarship, Third Prize, in September 2023. Binglun was also honored as Outstanding Student Cadres in September 2023 and Outstanding Communist Party Member in June 2023. His achievements in competitions include a Second Prize at the Central South University Graduate Electronic Design Competition in August 2022, a Third Prize at the National Intelligent Car Competition South China Race in August 2021, and a Second Prize at the Hunan Electronic Design Competition in June 2021. These accolades reflect his exceptional performance and contributions in both academic and competitive settings.

Publication Top Noted:

  1. The hyperbolic sine chaotification model and its applications”
    • Authors: Li, B., Sun, K., Wang, H., Liu, W.
    • Journal: Physica Scripta
    • Year: 2024
    • Volume: 99
    • Issue: 7
    • Article Number: 075274
  2. “Dynamics of multicavity hyperchaotic maps with rotational control operation and its applications”
    • Authors: Zhu, W., Sun, K., Li, B., Wang, H.
    • Journal: Physica Scripta
    • Year: 2024
    • Volume: 99
    • Issue: 6
    • Article Number: 065205
  3. “An internal perturbation method to counteract the dynamical degradation of digital chaotic maps and its application”
    • Authors: Li, B., Sun, K., Wang, H., Liu, W.
    • Journal: Nonlinear Dynamics
    • Year: 2024
    • Volume: 112
    • Issue: 11
    • Pages: 9603–9615
  4. “A delay-disturbance method to counteract the dynamical degradation of digital chaotic systems and its application”
    • Authors: Li, B., Sun, K., Wang, H., Liu, W.
    • Journal: Chaos, Solitons & Fractals
    • Year: 2024
    • Volume: 182
    • Article Number: 114843
  5. “The Modular Modulation Chaotification Map and its Hardware Implementation”
    • Authors: Liu, W., Sun, K., Wang, H., Li, B.
    • Journal: IEEE Transactions on Instrumentation and Measurement
    • Year: 2024
    • Volume: 73
    • Pages: 1–9
    • Article Number: 2002109
  6. “Delayed Feedback Chaotification Model and Its Hardware Implementation”
    • Authors: Liu, W., Sun, K., Wang, H., Li, B.
    • Journal: IEEE Transactions on Industrial Electronics
    • Year: 2024
    • Volume: 71
    • Issue: 10
    • Pages: 13002–13011

 

Samiulla Itoo | Cryptographic Techniques | Best Researcher Award

Posted on by ScienceFather

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: