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Marius Iulian, Mihailescu
SPIRU HARET University
Bucharest, Romania
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Marius Iulian Mihailescu completed his PhD at the University of Bucharest, where he studied security techniques for guaranteeing the confidentiality and integrity of biometrics data stored in databases. Today he is an associate lecturer at Spiru Haret University, a software project manager at Institute for Computers, and chief executive officer (CEO) and founder of Dapyx Solution. His work mainly focuses on applied/theoretical cryptography and information security.

Marius’s research interests extend to such areas as biometrics, the Internet of Things (IoT), blockchain, cloud/edge/fog computing, cloud computing, big data, artificial intelligence (AI), machine learning, and deep learning, with applications in the cybersecurity field. His research goals include understanding the real requirements of complex systems and their applications in different domains, and providing real and practical solutions for guaranteeing the confidentiality, integrity, and availability (CIA) of the processes.

With more than ten years of experience in software development, engineering, and security vulnerabilities, combined with more than eight years teaching in academia, Marius was able to identify gaps in the market task force and design unique and practical courses for academia that will help students connect with organizational missions. He works to take students out of their comfort zones and instead embrace cybersecurity, information security, digital forensics, and incident response as an ever-changing field. The goal, always, is to help students learn new technologies and embrace every opportunity for learning new things, even when they think a task is time-consuming or challenging.

Marius has authored/co-authored more than 60 papers in conference proceedings and journals, as well as seven books on applied cryptography, programming in Haskell, and web technologies. He started reviewing for CR in 2022.

Date Reviewed  
- 7 of 7 reviews

  Big data and public policy: course, content, and outcome
Moody R., Bekkers V., Palgrave Macmillan, New York, NY, 2023. 207 pp.  Type: Book (3031160304)

Big data and public policy: course, content, and outcome, by Rebecca Moody and Victor Bekkers, is an excellent book for those who are involved in policy-making processes and looking to learn how big data and public policy are strengthened t...

May 25 2023  
   Lane compression: a lightweight lossless compression method for machine learning on embedded systems
Ko Y., Chadwick A., Bates D., Mullins R. ACM Transactions on Embedded Computing Systems 20(2): 1-26, 2021.  Type: Article

Yonsun Ko’s paper presents an innovative approach to compressing machine learning models for use on embedded systems. The paper proposes lane compression, a new compression method that is specifically designed to be lightweight and lossless,...

May 17 2023  
  H-Container: enabling heterogeneous-ISA container migration in edge computing
Xing T., Barbalace A., Olivier P., Karaoui M., Wang W., Ravindran B. ACM Transactions on Computer Systems 39(1-4): 1-36, 2021.  Type: Article

Xing et al. describe a novel approach to dealing with the difficulties posed by container migration in edge computing settings with heterogeneous instruction set architectures (ISAs). By putting forth a mechanism that permits effective and seamles...

May 10 2023  
  AI-based computer vision using deep learning in 6G wireless networks
Kamruzzaman M., Alruwaili O. Computers and Electrical Engineering 102(1): 1-14, 2022.  Type: Article

The development of sixth-generation (6G) wireless networks is expected to revolutionize the way we use the Internet and handle data. This new network will offer faster speeds, better security, and more reliable connections. Along with these advanc...

Mar 22 2023  
   Model-driven DevOps: increasing agility and security in your physical network through DevOps
King J., Carter S., Pearson Education, Boston, MA, 2023. 192 pp.  Type: Book (0137644671), Reviews: (1 of 2)

As software development continues to evolve with the aim of faster development cycles, organizations are increasingly turning to model-driven DevOps. Model-driven DevOps enables developers to create and manage applications faster and more efficien...

Mar 16 2023  
  A framework for understanding sources of harm throughout the machine learning life cycle
Suresh H., Guttag J.  EAAMO 2021 New York, NY, Oct 5-9, 2021) 1-9, 2021.  Type: Proceedings

The most recent studies show how machine learning has increasingly started to affect people and society in a positive way, pointing out the main advantages and disadvantages for different areas of activities. Anticipation and prevention in this fi...

Jan 5 2023  
  Cyber-physical systems: a model-based approach
Taha W., Taha A., Thunberg J., Springer International Publishing, Cham, Switzerland, 2021. 187 pp.  Type: Book (978-3-030360-73-3)

Cyber-physical systems: a model-based approach is for anyone interested in becoming a cyber-physical system designer or innovator of, for example, machines, manufactured products, processes, or the combination of such things. Th...

Aug 4 2022  
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