Kamal Hajari

About

Ph.D. in Artificial Intelligence (AI) with over 12+ years of experience leveraging cutting-edge technologies.
Research focuses on applying deep learning techniques for computer vision tasks, particularly in pedestrian detection
and video analysis. Possesses deep expertise in the HCL Commerce framework and various programming languages.
Proven track record of building robust web applications and microservices across diverse domains. Possesses deep
expertise in the HCL Commerce framework and various programming languages (Java, jQuery, JavaScript, etc.). Proven
track record of building robust web applications and microservices in business, web, and client-server environments
using Java EE, EJB, JSP, Spring Boot, and other frameworks. Adept at working with diverse databases (DB2, MySQL,
Oracle SQL, MongoDB) across various domains including manufacturing, medical, and education. Thrives in fast-paced
environments with excellent analytical and troubleshooting skills.

Employment

Employment history is unavailable.

Education

• Rashtrasant Tukadoji Maharaj Nagpur University Ph.D.
  2017 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Deep learning approach to pedestrian detection and path prediction
  International Journal of Computational Vision and Robotics 2024 DOI: 10.1504/IJCVR.2024.141815
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• Novel person detection and suspicious activity recognition using enhanced YOLOv5 and motion feature map
  ARTIFICIAL INTELLIGENCE REVIEW 2024 DOI: 10.1007/S10462-023-10630-0
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• A Novel gray wolf optimization-based key frame extraction method for video classification using ConvLSTM
  Neural Computing and Applications 2024 DOI: 10.1007/s00521-024-10266-3
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• Deep Learning Approach for Pedestrian Detection, Tracking, and Suspicious Activity Recognition in Academic Environment
  Smart Innovation Systems and Technologies 2023 DOI: 10.1007/978-981-19-4162-7_4
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• Novel Pedestrian Detection and Suspicious Activity Recognition Using Enhanced YOLOv5 and Motion Feature Map
  Research Square 2023 DOI: 10.21203/rs.3.rs-2750031/v1
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• Motion Pattern Based Anomalous Pedestrian Activity Detection
  International Journal of Image Graphics and Signal Processing 2022 DOI: 10.5815/ijigsp.2022.06.02
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• Novel approach for pedestrian unusual activity detection in academic environment
  Iaes International Journal of Artificial Intelligence 2022 DOI: 10.11591/ijai.v11.i4.pp1517-1524
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• Real-Time Deep Learning Approach for Pedestrian Detection and Suspicious Activity Recognition
  Procedia Computer Science 2022 DOI: 10.1016/j.procs.2023.01.219
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• Robust Pedestrian Detection and Path Prediction using Improved YOLOv5
  Electronic Letters on Computer Vision and Image Analysis 2022 DOI: 10.5565/REV/ELCVIA.1538
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• Robust pedestrian detection using scale and illumination invariant Mask R-CNN
  INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING 2022 DOI: 10.1504/IJCSE.2022.127190
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