• 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. 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 (ACM ToIT ), Vol. 22, No.  1,  Article No.:  9,  pp 1-30, 2021. DOI: https://doi.org/10.1145/3434775 (Status: Published, SCIE, IF: 3.135, Quartile: Q1).
    2. Rahul Kumar, Ankur Gupta, Harkirat Singh Arora and Balasubramanian Ra- man, “CBSN: Comparative Measures of Normalization Techniques for Brain Tumor Segmentation Using SRCNet”, Multimedia Tools and Applications, Vol. 81, pp. 13203–13235, 2022, Springer, DOI: https://doi.org/10.1007/s11042-021- 10565-0. (Status: Published, SCIE, IF: 2.757, Quartile: Q2).
    3. 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, DOI: https://doi.org/10.1109/ACCESS.2020.2989193. (Status: Published, SCIE, IF: 3.367, Quartile: Q2).
    4. Ankur Gupta, Rahul Kumar, Harkirat Singh Arora and Balasubramanian Ra- man, “C-CADZ: Computational Intelligence System for Coronary Artery Dis- ease Detection Using Z-Alizadeh Sani Dataset”, Applied Intelligence, Vol. 52,
    5. pp. 2436–2464, 2022, Springer, DOI: https://doi.org/10.1007/s10489-021-02467- 3.(Status: Published, SCI, IF: 5.086, Quartile: Q1).
    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, vol. 44, pp.1257–1271, 2021. DOI: https://doi.org/10.1007/s13246-021-01060-9 (Status: Published, SCIE, IF: 1.43, Quartile: Q4).
    7. 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, DOI: 10.1109/ACCESS.2019.2962755. (Status: Published, SCIE, IF: 3.367, 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. (Rank: B1, Source: Qualis).
    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. (Rank: B1, Source: Qualis).
    3. .
    • 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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