Dr. Tarun Agrawal

Biography

Dr. Tarun Agrawal has done the Ph.D. at Department of Computer Science & Engineering from National Institute of Technology Hamirpur, HP, India. He did his B. Tech and M. Tech from the Zakir Hussain College of Engineering & Technology, Aligarh Muslim University, in 2014 and 2016, respectively. His research interests are Computer Vision, Medical Imaging, Machine and Deep Learning. He has published several SCIE/Scopus journal and International Conference papers in medical image analysis field.

Educational Qualifications

• Ph.D.  (Computer Science & Engineering) from NIT Hamirpur in 2023.
• M. Tech (Computer Science & Engineering) from Aligarh Muslim University in 2016.
• B. Tech (Computer Science & Engineering) from Aligarh Muslim University in 2014.

Work Experience

Teaching Experience: 

• Presently working as an Assistant Professor (Senior Grade) in the DoCSE & IT at Jaypee Institute of Information Technology (JIIT), Sector 62, Noida, U.P. from July 2023 to till date.
• Worked as an Assistant Professorin the School of Computer Science Engineering and Technology at Bennett University, Greater Noida from July 2022 to July 2023.
• Worked as Assistant Professor in the School of Computer Science Engineering at Galgotias University from July 2017 to July 2019.
• Worked as Assistant Professor in the DoCSE at SRMSCET, Bareilly from July 2016 to May 2017.

Interest Area 

Medical Image Analysis, Computer Vision, Deep Learning

Publications

Google Scholar Link:  https://scholar.google.co.in/citations?user=etbX3FsAAAAJ&hl=en

Journals

• Tarun Agrawal, and Prakash Choudhary. "FocusCovid: Automated COVID-19 detection using deep learning with chest X-ray images." Evolving Systems (2022): 1-15. (IF = 3.2)
• Tarun Agrawal, and Vijay Kumar. "A Systematic Review on Bat Algorithm: Theoretical Foundation, Variants, and Applications." Archives of Computational Methods in Engineering (2021): 1-30. (IF = 9.7)
• Tarun Agrawal, and Prakash Choudhary. "Segmentation and classification on chest radiography: a systematic survey." The Visual Computer (2022): 1-39. (IF = 3.5)
• Tarun Agrawal, and Prakash Choudhary. “EfficientUNet: Modified Encoder-Decoder architecture for the Lung Segmentation in Chest X-ray Images.” Expert Systems (2022): 1-19. (IF = 3.3)
• Tarun Agrawal, and Prakash Choudhary. “ALCNN: Attention based lightweight convolutional neural network for pneumothorax detection in chest x-rays” Biomedical Signal Processing and Control (2023): 1746-8094 (IF = 5.1)
• Tarun Agrawal, and Prakash Choudhary. "ReSE‐Net: Enhanced UNet architecture for lung segmentation in chest radiography images." Computational Intelligence (2023). (IF = 2.8)
• Tarun Agrawal, and Prakash Choudhary. “Covid-SegNet: Encoder-decoder based architecture for covid-19 lesion segmentation in chest X-ray”. Multimedia System (2023). (IF = 3.9)
• Prashant, Kunwar, Prakash Choudhary, Tarun Agrawal, and Evam Kaushik. "OWAE-Net: Covid-19 detection from ECG images using Deep Learning and Optimized Weighted Average Ensemble Technique." Intelligent Systems with Applications (2022): 200154.(Cite Score = 4.6)
• Tarun Agrawal, Prakash Choudhary, Achyut Shankar, Prabhishek Singh, and Manoj Diwakar. "MultiFeNet: Multi‐scale feature scaling in deep neural network for the brain tumour classification in MRI images." International Journal of Imaging Systems and Technology (2024). (IF = 3.3)
• Tarun Agrawal, Prakash Choudhary, Vijay Kumar, Prabhishek Singh, Manoj Diwakar and Sandeep Kumar. "A comparative study of brain tumor classification on unbalanced dataset using deep neural networks." Biomedical Signal Processing and Control 94 (2024): 106256. (IF = 5.1)

Conferences

• Tarun Agrawal, and Mohammad Abdul Qadeer. "Tracing Path with Arduino Uno using GPS and GPRS/GSM" 2018 International Conference on Computing, Power and Communication Technologies (GUCON). IEEE, 2018.  (Scopus Indexed)
• Tarun Agrawal, and Prakash Choudhary. “Automated COVID-19 detection using Deep Convolutional Neural Network and Chest X-ray Images” 2021 International Conference on Computational Performance Evaluation (ComPE). IEEE,2021.  (Scopus Indexed)
• Jyoti Gupta, Tarun Agrawal, Prabhishek Singh, and Manoj Diwakar. “Optical biosensor for early diagnosis of cancer” 2023 International Conference on Computer, Electronics & Electrical Engineering and their applications (IC2E3). IEEE, 2023. (Accepted,Scopus Indexed)

Academic Activities

• Finance Chair in organizing conference committee at International Conference on Computing, Power and Communication Technologies (GUCON), IEEE, 2018 (Scopus Index)
• Invited Speaker at five days’ student development program from 13-18 October 2022, Chitkara University, Punjab.
• Session chair at International Conference on Communication, security and Artificial Intelligence ICCSA, IEEE, 2022. (Scopus Index)
• Topic Coordinator at Special Issue (Artificial Intelligence-Assisted Medical Imaging Solutions for Integrating Pathology and Radiology Automated Systems) of Frontier in Medicine (IF-5.058)

Reviewer

• Evolving Systems, Springer (SCI, IF = 3.2)         
• Expert Systems, Wiley (SCI, IF= 3.3)
• Scientific Reports, Nature (SCI, IF= 4.6)        
• BMC Medical Imaging, Springer (SCI, IF= 2.7)
• Applied Intelligence, Springer (SCI, IF= 5.3)      
• Journal of Electronic Imaging, SPIE (SCI, IF=1.1)
• Multimedia Systems, Springer (SCI, IF=3.9)     
• Applied Soft Computing, Springer (SCI, IF=8.7)
• Signal, Image and Video Processing, Springer (SCI, IF=2.3)  
• Artificial Intelligence Review, Springer (SCI, IF= 12)