Pushpajit Khaire

Designation: 

Assistant Professor
Contact Details
Academic Background

BE- Nagpur University
MTech- Nagpur University
PhD- VNIT, Nagpur
PostDoc- University of Bristol, United Kingdom (World QS Rank -55, 2023)

Areas of Interest
  • Computer Vision and Deep Learning
  • Machine Learning
  • Image Processing
  • Data Structures
  • Artificial Intelligence (AI in Healthcare Applications)
  • Algorithms
  • Video surveillance for anomaly detection
Achievements

Awards and Distinctions

1. DAAD AInet Fellow, Germany, 2023-24 
2. DST-SERB Fellowship, India, 2016-19
3. MHRD Fellowship, India, 2010-12  
Significant Publications

1. Pushpajit Khaire, Praveen Kumar and Javed Imran, “Combining CNN streams of RGB-D and skeletal data for human activity recognition”, Pattern Recognition Letters 115, Elsevier, 2018, SCI indexed, IF-4.757
2. Pushpajit Khaire, Praveen Kumar, “2022 Deep learning and RGB-D based human action, human– human and human–object interaction recognition: A survey”, Journal of Visual Communication and Image Representation, Elsevier, Issue: July 2022, Vol. No.:86 Pages:103531,-1-25, SCIE, IF- 2.887
3. Pushpajit Khaire and Praveen Kumar, “RGB+ D and deep learning-based real-time detection of suspicious event in Bank-ATMs”, Journal of Real-Time Image Processing, July-2021, SCIE, IF-2.358
4. Pushpajit Khaire, Praveen Kumar, “A semi- supervised deep learning based video anomaly Detection framework using RGB-D for surveillance of real-world critical environments, Forensic Science International: Digital Investigation, Elsevier, Issue: March 2022, Vol. No.:40 Pages:301346-1-11, SCIE, IF-1.805

Reviewer of Referred Journals

1. IEEE Transactions on Multimedia (SCIE)
2. Artificial Intelligence Review (SCIE)
3. IEEE Sensors (SCIE)
4. International Journal of Image and Graphics (Scopus)
5. Journal of Computational Methods in Sciences and Engineering (Scopus)

 

Contact us

Dr. P. Sam Johnson, Professor and Head
Department of MACS, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.

  • Hot line: +91-0824-2474048

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