• Faculty

    • Faculty Profile

    Dr Rahul Kumar

    Computer Science and Engineering
    Assistant Professor
    Ph D 2021 Indian Institute of Technology Roorkee
    M Tech 2015 Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab
    B Tech 2012 Muzaffarpur Institute of Technology, Muzaffarpur, Bihar

     

    May 2022 to Till Date Assistant Professor Rajiv Gandhi Institute of Petroleum Technology, Jais, Amethi
    • Medical image analysis
    • Decision support systems
    • Machine/Deep learning
    • CAD algorithms for microfluidic biochips

    Journal Publications

    1. Robin Singh Bhadoria, Naman Bhoj, Manoj Kumar Srivastav, Rahul Kumar, Balasubramanian Raman, “A Machine Learning Framework for Security and Privacy Issues in Building Trust for Social Networking”, Cluster Computing (Springer), 2022 (Status: Accepted, SCIE, IF: 2.303, Quartile: Q2/Q3).
    2. Rahul Kumar, Ridhi Arora, Vipul Bansal, Vinodh J Sahayasheela, Himanshu Buckchash, Javed Imran, Narayanan Narayanan, Ganesh N Pandian, and Bal- asubramanian Raman, “Classification of COVID-19 from Chest X-ray Images Using Deep Features and Correlation Coefficient”, Multimedia Tools and Appli- cations (Springer), Vol. 81, pp. 27631–27655, 2022 (Status: Published, SCIE, IF: 2.577, Quartile: Q2).
    3. M. Tanveer, A. H. Rashid, Rahul Kumar, and Balasubramanian Raman, “Parkin- son’s disease diagnosis using neural networks: survey and comprehensive evalua- tion”, in Information Processing & Management (Elsevier), Vol. 59, No. 3, 2022 (Status: Published, SCI, IF: 7.466, Quartile: Q1)
    4. Ankur Gupta, Rahul Kumar, Harkirat Singh Arora and Balasubramanian Ra- man, “C-CADZ: Computational Intelligence System for Coronary Artery Disease Detection Using Z-Alizadeh Sani Dataset”, Applied Intelligence (Springer), Vol. 52,  pp.  2436–2464,  2022  (Status:  Published,  SCI,  IF:  5.019,  Quartile: Q2).
    5. Rahul Kumar, Ankur Gupta, Harkirat Singh Arora and Balasubramanian Ra- man, “CBSN: Comparative Measures of Normalization Techniques for Brain Tu- mor Segmentation Using SRCNet”, Multimedia Tools and Applications (Springer), Vol.  81, pp. 13203–13235, 2022 (Status:  Published, SCIE, IF: 2.577, Quar- tile: Q2).
    6. Ridhi Arora, Vipul Bansal, Himanshu Buckchash, Rahul Kumar, Vinodh J Sahayasheela, Narayanan Narayanan, Ganesh N Pandian, and Balasubrama- nian Raman, “AI-based Diagnosis of COVID19 Patients using X-ray Scans with Stochastic Ensemble of CNNs”, Physical and Engineering Sciences in Medicine (Springer), vol. 44, pp.1257–1271, 2021 (Status: Published, SCIE, IF: 7.099, Quartile: Q1).
    7. Rahul Kumar, Ankur Gupta, Harkirat Singh Arora and Balasubramanian Ra- man, “IBRDM: An Intelligent Framework for Brain Tumor Classification Using Radiomics- and DWT Based Fusion of MRI Sequences”, ACM Transactions on Internet Technology, Vol. 22, No. 1, Article No.: 9, pp 1-30, 2021 (Status: Published, SCIE, IF: 3.989, Quartile: Q1).
    8. Rahul Kumar, Ankur Gupta, Harkirat Singh Arora, Ganesh Namasivayam Pandian and Balasubramanian Raman, “CGHF: A Computational Decision Sup- port System for Glioma Classification Using Hybrid Radiomics- and Stationary Wavelet-Based Features”, IEEE Access, vol. 8, pp. 79440-79458, 2020 (Status: Published, SCIE, IF: 3.476, Quartile: Q2).
    9. Ankur Gupta, Rahul Kumar, Harkirat Singh Arora and Balasubramanian Ra- man, “MIFH: A Machine Intelligence Framework for Heart Disease Diagnosis”, IEEE Access, vol. 8, pp. 14659-14674, 2020 (Status: Published, SCIE, IF: 3.476, Quartile: Q2).

    Conference Publications

    1. Rahul Kumar, Ankur Gupta, Harkirat Singh Arora and Balasubramanian Ra- man, “GRGE: Detection of Gliomas Using Radiomics, GA Features and Ex- tremely Randomized Trees,” in the 35th International Conference on Information Networking (ICOIN 2021 ), 2021, pp. 379-384. (H5-index: 24)
    2. Ankur Gupta, Harkirat Singh Arora, Rahul Kumar and Balasubramanian Ra- man, “DMHZ : A Decision Support System based on Machine Computational Design for Heart Disease Diagnosis Using Z-Alizadeh Sani Dataset,”in the 35th International Conference on Information Networking (ICOIN 2021 ), 2021, pp. 818-823. (H5-index: 24).
    • Registration grant from Microsoft Research to present my research paper at the 35th International Conference on Information Networking (ICOIN), Jeju Island, Korea & Virtual Conference, January 13-16, 2021.
    • Visvesvaraya PhD scholarship provided by Ministry of Electronics and Informa- tion Technology (MeitY), Government of INDIA, (March 2017- Sept 2021).
    • Embedded and VLSI Design Conference student travel fellowship award, 2018.
    • Qualified UGC-NET in July 2018.
    • MHRD-GATE Scholarship for Master of Technology, (2013- 2015).
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