Reza Fotohi | Privacy-Preserving | Best Researcher Award

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

Ammar Almomani | Cryptography | Best Researcher Award

Prof. Ammar Almomani | Cryptography | Best Researcher Award

🌐 Prof. Ammar Almomani is a distinguished Internet Infrastructures Security and AI-based cybersecurity expert with a Ph.D. from Universiti Sains Malaysia, ranked #142 globally. Recognized in the Top 2% of Global Influential Researchers by Stanford University and Scopus, he holds an extensive record with 117+ articles, 8 patents, and ongoing contributions. With 20 years of teaching across 5 esteemed institutions, he covers diverse cybersecurity topics. Currently a Professor and Head of Research at Skyline University College, UAE, he manages AI and cybersecurity projects, securing grants and contracts. A UAE Golden Visa Holder, Prof. Almomani brings five years of management experience, focusing on enhancing educational institutes. His expertise spans IPv6 security, IoT, Blockchain, AI, and more, contributing significantly to academia and industry. Committed to advancing the field, he has played a vital role in accreditation efforts and program development, making a positive impact in the educational sector(Cryptography). πŸš€πŸ”πŸ’»

Profile:

Scopus

Orcid

Google Scholar

Education:

πŸŽ“ Prof. Ammar Almomani earned his Ph.D. in Computer Science/Advanced Internet Security from Universiti Sains Malaysia (USM) in 2013, specializing in Internet Infrastructures Security. His dissertation, “Dynamic Evolving Neural Fuzzy Framework for Phishing E-mail Detection,” showcased his expertise. Earlier, he achieved a Master of Science in Computer Information Systems from the Arab Academy for Banking and Financial Sciences (AABFS) in 2005. His academic journey began with a Bachelor of Science in Computer Science from Mutah University, Jordan, in 2003. πŸŒπŸ”’ Prof. Almomani’s educational background reflects his dedication to cutting-edge research in cybersecurity and internet security.(Cryptography)

Experience:

πŸ‘¨β€πŸ« Prof. Ammar Almomani, a seasoned academic and cybersecurity expert, currently serves as Professor and Head of the Research and Innovation Department at Skyline University College (SUC) in Sharjah, UAE, since 6-2-2022. Previously, he held key roles as Head of IT Department at Al-Balqa Applied University (BAU), Jordan, and Associate Professor at Al-Imam Muhammad Ibn Saud Islamic University in Saudi Arabia. With a rich academic history spanning Jordan and Saudi Arabia, he has contributed significantly, including a three-year tenure with the National Information Technology Centre (NITC). Additionally, Prof. Almomani continues his research journey as an Adjunct Researcher with Universiti Sains Malaysia’s National Advanced IPv6 Centre of Excellence (NAV6).(Cryptography) πŸŒπŸ‘¨β€πŸ’Ό

Award & Honors:

πŸ“˜ Prof. Ammar Almomani, a trailblazing academic, has garnered numerous accolades for his exceptional contributions. Notably, he played a pivotal role in the electoral process of Al-Balqa Applied University in Jordan, earning a Book of Thanks in 2019. His research prowess shone at the 8th IEEE International Conference on Control System, Computing, and Engineering (ICCSCE 2018) in Malaysia, where he secured the Best Paper Award from IEEE in 2018. Recognized as one of the best researchers at Al-Balqa Applied University, he received certificates in 2017. His impactful initiatives in psychosocial counseling and smart devices engineering have left a lasting mark, celebrated through Books of Thanks. (Cryptography)πŸ†πŸ“˜πŸŒ

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