Dr. Saurabh Arora

Assistant Professor (Contractual -II)

Specialization

Computer Vision and Image Processing

Email

saurabh.arora@thapar.edu

Specialization

Computer Vision and Image Processing

Email

saurabh.arora@thapar.edu

 

Education
1.    PhD in Computer Science and Engineering from Indian Institute of Technology (BHU), Varanasi.
o    Title – Design and Development of Some Methods and Models for Dental Image Segmentation using Deep Learning Approaches
2.    M.E in Computer Science and Engineering from Thapar University, Patiala.
3.    B. Tech. in Computer Science and Engineering from Uttarakhand Technical University, Dehradun. 

Trainings
1.    Certifications in various Workshops/FDPs. 

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (January 2024 - present)
2.    Assistant Professor, Computer Science and Engineering Department, GL Bajaj Institute of Technology, Greater Noida, India (July 2016 – December 2017)
3.    Assistant Professor, Computer Science and Engineering Department, Maya Institute of Technology and Management, Dehradun, India (February 2015 – July 2016)


Journal publications
1.    Saurabh Arora, Santosh Kumar Tripathy, Ruchir Gupta and Rajeev Srivastava, “Exploiting Multimodal CNN architecture for Automated Teeth Segmentation on Dental Panoramic X-ray images”, Journal of Engineering in Medicine. (Impact Factor- 1.8, SCIE Indexed).
2.    Saurabh Arora, Ruchir Gupta and Rajeev Srivastava, “Enhancing teeth segmentation using multifusion deep neural net in panoramic x-rays”, Journal of X-Ray Science and Technology. (Impact Factor-3, SCIE Indexed).

Conference publications
1.    Saurabh Arora, Subodh Srivastava, Ruchir Gupta and Rajeev Srivastava, “Analysis and Review of Current Deep Learning Techniques for Dental image Segmentation with a novel deep neural network”, 8th International Conference on Computing in Engineering & Technology (ICCET 2023), NIT Patna.
2.    Saurabh Arora, Inderveer Channa, “A Survey of Clustering Techniques for Big Data Analysis”, 5th International Conference – Confluence 2014 on Cloud Security and Big Data, IEEE.
 

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