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Faculty Profile
Dr Rahul Kumar
Computer Science and Engineering
Assistant Professor
Telephone
:
+91 05352704645
Email
:
rahul.kumar@rgipt.ac.in
Education
Experience
Research Interest
Publications
Academic Services/Awards
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
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).
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).
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)
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).
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).
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).
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).
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)
.
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
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
35
th International Conference on Information
Networking
(
ICOIN 2021
), 2021, pp. 379-384.
(H5-index: 24)
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
35
th
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).
General Information
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