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