Nikola Shakev

Dr. Nikola Shakev

Faculty of Electronics and Automation, Technical University of Sofia, Sofia, Sofia-Grad, Bulgaria
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 July 2023 in Algorithms
Verified
Journal Article
Open access
PDF file
SSStela Stoykova
Stela Stoykova
Nikola ShakevNikola Shakev
Nikola Shakev
The aim of this paper is to present a systematic literature review of the existing research, published between 2006 and 2023, in the field of artificial intelligence for management information systems. Of the 3946 studies that were considered by the authors, 60 primary studies were selected for analysis. The analysis shows that most research is focused on the application of AI for intelligent process automation, with an increasing number of studies focusing on predictive analytics and natural language processing. With respect to the platforms used by AI researchers, the study finds that cloud-based solutions are preferred over on-premises ones. A new research trend of deploying AI applications at the edge of industrial networks and utilizing federated learning is also identified. The need to focus research efforts on developing guidelines and frameworks in terms of ethics, data privacy, and security for AI adoption in MIS is highlighted. Developing a unified digital business strategy and overcoming barriers to user–AI engagement are some of the identified challenges to obtaining business value from AI integration.

25 February 2012 in Evolving Systems
Verified
Journal Article
Closed access
PDF file
Sevil Ahmed-ShievaSevil Ahmed-Shieva
Sevil Ahmed-Shieva
Nikola ShakevNikola Shakev
Nikola Shakev
Andon Venelinov TopalovAndon Venelinov Topalov
Andon Venelinov Topalov
KSKostadin Shiev
Kostadin Shiev
OKOkyay Kaynak
Okyay Kaynak

16 August 2011 in Journal of Intelligent & Robotic Systems
Verified
Journal Article
Closed access
PDF file
Nikola ShakevNikola Shakev
Nikola Shakev
Andon Venelinov TopalovAndon Venelinov Topalov
Andon Venelinov Topalov
OKOkyay Kaynak
Okyay Kaynak
KSKostadin Borisov Shiev
Kostadin Borisov Shiev

1 January 2019 in IFAC-PapersOnLine
Verified
Journal Article
Closed access
SAS. Ahmed
S. Ahmed
VPV. Popov
V. Popov
ATA. Topalov
A. Topalov
Nikola ShakevNikola Shakev
Nikola Shakev

1 November 2018
Verified
Conference Paper
Closed access
VPVasil L. Popov
Vasil L. Popov
SASevil A. Ahmed
Sevil A. Ahmed
Nikola ShakevNikola Shakev
Nikola Shakev
ATAndon V. Topalov
Andon V. Topalov
The mobile robot following behavior is frequently considered as an important pre-requisite while developing autonomous service robots intended to co-exist with humans in a shared environment. It can also simplify the development of autonomous navigation and obstacle avoidance behavior as well as the robot ability to operate within multi-agent formations. In this investigation, an approach is proposed that allows a KUKA youBot omnidirectional mobile platform to detect and follow people carrying different objects, such as suitcases, in a shared indoor environment. Using a Kinect sensor, the mobile robot can recognize standing human with a suitcase and will begin to consider him as a potential dynamic target. The 2D lidar of the mobile platform can further detect when the above target starts to move and will begin to track it. Meanwhile, the robot will start following the human by controlling its own velocity while maintaining a pre-specified orientation and distance.

1 January 2018 in IFAC-PapersOnLine
Verified
Journal Article
Closed access
VPVasil L. Popov
Vasil L. Popov
SASevil A. Ahmed
Sevil A. Ahmed
ATAndon V. Topalov
Andon V. Topalov
Nikola ShakevNikola Shakev
Nikola Shakev