What is he best known for?
The fields of study he is best known for:
- Operating system
- Software
- Microsoft Windows
His main research concerns Distributed computing, Cloud computing, Operating system, Mobile computing and Embedded system.
The concepts of his Distributed computing study are interwoven with issues in Web service, Resource allocation, Service, Ubiquitous computing and Testbed.
His Cloud computing study combines topics in areas such as Open source and Data science.
His Data science study deals with Software deployment intersecting with Process management, Workstation, Implementation and Process migration.
His work deals with themes such as Computer security and Mobile agent, which intersect with Mobile computing.
As a part of the same scientific study, Dejan Milojicic usually deals with the The Internet, concentrating on Information technology and frequently concerns with Dependency, Class, Knowledge management, Resource and New product development.
His most cited work include:
- Peer-to-Peer Computing (769 citations)
- Process migration (541 citations)
- Adaptive offloading for pervasive computing (260 citations)
What are the main themes of his work throughout his whole career to date?
Dejan Milojicic mainly investigates Distributed computing, Operating system, Cloud computing, World Wide Web and Software engineering.
His research integrates issues of Scalability, PlanetLab, Service, Shared memory and Scheduling in his study of Distributed computing.
His studies in Memory management, Virtual memory, Microkernel, Virtual address space and Software are all subfields of Operating system research.
His biological study spans a wide range of topics, including Supercomputer and Data science.
Dejan Milojicic does research in World Wide Web, focusing on The Internet specifically.
His Software engineering research integrates issues from Web service and Interoperability.
He most often published in these fields:
- Distributed computing (19.93%)
- Operating system (14.39%)
- Cloud computing (13.28%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer hardware (7.38%)
- Artificial intelligence (2.95%)
- Computer architecture (2.58%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Computer hardware, Artificial intelligence, Computer architecture, Efficient energy use and Operating system.
His Artificial intelligence research incorporates elements of Computer security, Machine learning and Supercomputer.
His Operating system study integrates concerns from other disciplines, such as SIMPLE and Scope.
His Implementation study combines topics from a wide range of disciplines, such as Process, Overhead and Software deployment.
Dejan Milojicic combines subjects such as Correctness and Engineering management with his study of Software deployment.
His Address space study incorporates themes from Distributed computing, Programming paradigm and Memory management.
Between 2018 and 2021, his most popular works were:
- PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference (97 citations)
- A Survey of DevOps Concepts and Challenges (41 citations)
- Analysis and Modeling of Collaborative Execution Strategies for Heterogeneous CPU-FPGA Architectures (13 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Microsoft Windows
- Software
Efficient energy use, Artificial intelligence, Machine learning, Compiler and Embedded system are his primary areas of study.
His Efficient energy use research includes themes of Field-programmable gate array, Computer architecture, Central processing unit and Multiplication.
His work carried out in the field of Artificial intelligence brings together such families of science as Computer architecture simulator, Register allocation, Instruction set and Microarchitecture.
His studies deal with areas such as Computer security, Key, Memristor and Scale as well as Machine learning.
He interconnects Artificial neural network, CMOS, Convolutional neural network and Resistive random-access memory in the investigation of issues within Compiler.
His Embedded system research focuses on Latency and how it connects with Scalability, Memory pool, Byte and Live migration.
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