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:

Reza Fotohi | Privacy-Preserving | Best Researcher Award

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Dr. Reza Fotohi | Privacy-Preserving | Best Researcher Award

University Professor at Shahid Beheshti University, Iran

Summary:

Dr. Reza Fotohi is a Ph.D. candidate in Computer Software Engineering at Shahid Beheshti University (SBU) in Tehran, Iran. His research specializes in privacy-preserving data collection and analysis, privacy-preserving machine learning, and federated learning. Reza has made significant contributions to his field, with multiple publications in high-ranking journals and over 1196 citations, resulting in an h-index of 24 and an i10-index of 29. Reza’s academic journey includes an M.Sc. in Computer Software Engineering from the Islamic Azad University of Shabestar and a B.Sc. from the University of Applied Science and Technology in East Azerbaijan, Iran. His work has been recognized with numerous awards, including being named among the top 2% of researchers worldwide by Stanford University and receiving fellowships and outstanding student awards throughout his academic career. Currently, Reza is researching data privacy in intelligent enterprises, continuing to advance the frontiers of privacy-preserving technologies.

Profile:

Education:

Reza Fotohi is pursuing his Ph.D. in Computer Software Engineering at Shahid Beheshti University (SBU) in Tehran Province, Iran, from September 2019 to September 2023. He has achieved a GPA of 19.0/20, with coursework including Advanced Software Engineering, Self-adapting and Self-organize Systems, Advanced Network Security, and Ultra Large Scale Systems. His thesis, supervised by Dr. Fereidoon Shams Aliee and advised by Dr. Bahar Farahani, focuses on “A Lightweight Model for Privacy-Preserving of Data in Intelligent Enterprises.” Reza obtained his M.Sc. in Computer Software Engineering from the Islamic Azad University of Shabestar (IAU) in East Azerbaijan Province, Iran, between September 2012 and February 2014. He graduated with a GPA of 18.49/20, completing coursework such as Advanced Topics in Software Engineering, Advanced Operating System, Advanced Computer Networks, and Distributed Systems. His thesis, titled “DAWA: Defending against Wormhole Attack in MANETs by Using Fuzzy Logic and Artificial Immune System,” was supervised by Dr. Shahram Jamalie and advised by Dr. Morteza Analouei. He earned his B.Sc. in Computer Software Engineering from the University of Applied Science and Technology (UAST) in East Azerbaijan Province, Iran, from September 2007 to February 2010. Reza’s GPA was 17.37/20, and his coursework included Algorithm Design, Internet Engineering, Computer Simulation, and Network Installation and Configuration. His research project on Service Oriented Architecture (SOA) was supervised by Dr. Hadi Mikaeili and advised by Dr. Kambiz Fakhr.

Professional Experience:

Dr. Reza Fotohi is a dedicated researcher and academic in the field of Computer Software Engineering. During his Ph.D. at Shahid Beheshti University (SBU), he has served as a Teaching Assistant for the Ultra Large Scale Systems course in the winters of 2021 and 2022. Additionally, he worked as a Research Assistant in the winter of 2022, where he focused on privacy-preserving data collection and analysis, and privacy-preserving machine learning. His thesis, titled “A Lightweight Model for Privacy-Preserving of Data in Intelligent Enterprises,” is supervised by Dr. Fereidoon Shams Aliee and advised by Dr. Bahar Farahani. Throughout his academic career, Reza has published numerous papers in high-ranking journals, earning over 1196 citations with an h-index of 24 and an i10-index of 29. His research contributions have earned him recognition among the top 2% of researchers worldwide by Stanford University. He has also received several awards and fellowships, highlighting his excellence in research and academia.

Research Interests:

Dr. Reza Fotohi’s research interests lie at the intersection of privacy and data science, with a focus on privacy-preserving data collection and analysis, privacy-preserving machine learning, and federated learning. He is particularly interested in developing and implementing techniques that protect sensitive information in intelligent enterprises, ensuring data privacy while maintaining the utility and effectiveness of data-driven applications. His current research explores lightweight models for privacy-preserving data management, aiming to advance the field by creating more secure and efficient systems for handling private data in various applications.

Honors & Awards:

Dr. Reza Fotohi has been recognized among the top 2% of researchers worldwide by Stanford University for the academic year 2020-2021. He was awarded a Ph.D. fellowship by the Faculty of Computer Science and Engineering at Shahid Beheshti University for the year 2018-2019. Additionally, he ranked 17th in the Nationwide Ph.D. University Entrance Exam out of over 2367 participants in 2018-2019. He has been selected to use the student facilities of the National Elite Foundation in 2020-2021. Throughout his academic career, Reza has consistently been ranked as an outstanding student during his Ph.D. (2019-2023), M.Sc. (2012-2014), and B.Sc. (2007-2010) studies. He has also received outstanding researcher and thesis awards during his M.Sc. years from 2012 to 2014.

Publication:

 

Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

  • Authors: K Mabodi, M Yusefi, S Zandiyan, L Irankhah, R Fotohi
  • Journal: The Journal of Supercomputing
  • Publisher: Springer
  • Volume: 76(9)
  • Pages: 1-26
  • Year: 2020
  • Citations: 106

SoS-RPL: Securing Internet of Things Against Sinkhole Attack Using RPL Protocol-Based Node Rating and Ranking Mechanism

  • Authors: R Fotohi, M Zaminkar
  • Journal: Wireless Personal Communications
  • Publisher: Springer
  • Volume: 114(2)
  • Pages: 1287-1312
  • Year: 2020
  • Citations: 90*

Securing wireless sensor networks against denial-of-sleep attacks using RSA cryptography algorithm and interlock protocol

  • Authors: R Fotohi, S Firoozi Bari, M Yusefi
  • Journal: International Journal of Communication Systems
  • Publisher: Wiley
  • Volume: 33(4)
  • Article: e4234
  • Year: 2020
  • Citations: 90

DAWA: Defending against wormhole attack in MANETs by using fuzzy logic and artificial immune system

  • Authors: S Jamali, R Fotohi
  • Journal: The Journal of Supercomputing
  • Publisher: Springer
  • Volume: 73(12)
  • Pages: 5173-5196
  • Year: 2017
  • Citations: 89

An agent-based self-protective method to secure communication between UAVs in unmanned aerial vehicle networks

  • Authors: R Fotohi, E Nazemi, FS Aliee
  • Journal: Vehicular Communications
  • Publisher: Elsevier
  • Volume: 26
  • Article: 100267
  • Year: 2020
  • Citations: 88