COMPUTER SCIENCE AND ENGINEERING

Mr. C. Rajeev

Mr. C. Rajeev

Assistant Professorr
rajeev.c@bvrithyderabad.edu.in

AICTE ID: 1-3574314826
JNTUH ID: 7403-150602-170224
Ratified Status: Ratified

Ph.D.: Ph.D (Thesis submitted), VIT-AP University, Andhra Pradesh, 2025
M.Tech.: Software Engineering, Sree Vidyanikethan Engineering College(Autonomus), Tirupathi, affiliated to JNTUA University, Anantapur in Andhra Pradesh, 2014
B.Tech.:  Computer Science and Engineering, Vaagdevi Institute of Technology and Science, Proddatur, Andhra radesh, affiliated to JNTUA University, Anantapur, 2012

Teaching Experience: 7 Years
Research Experience: 3 Years
Industry Experience: Nil

Scopus ID: 57211942015
WoS ID: NXY-2043-2025
Google Scholar ID:  njjWMSMAAAAJ&hl=en
Vidwan ID: 179602
ORCID ID: 0000-0002-9942-6452

Machine Learning, Deep Learning in Healthcare

Dr. C.V. Raman Research Award, School of Computer Science and Engineering, VIT-AP University in the year 2024 and 2025.

  1. Natarajan and C. Rajeev,(2025)” Prediction of heart failure disease using classification algorithms along with performance parameters,” in Data Science in the Medical Field, S. Kadry and S. Mahajan, Eds. Academic Press, 2025, ch. 14, pp. 213-226. doi: https://doi.org/10.1016/B978-0-443-24028-7.00015-5. (Elsevier).
  2. Rajeev, C., Natarajan, K. (2024). Predictive Models for Non-communicable Diseases: Exploring the Roles of Machine Learning, Deep Learning, Generative AI, and Optimization. In: Bhattacharya, P., Liu, H., Dutta, P.K., Rodrigues, J.J.P.C., Sethi, G. (eds) Revolutionizing Healthcare 5.0: The Power of Generative AI . Studies in Systems, Decision and Control, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-031-75771-6\_23.Feb, 025.(Springer).
  3. Rajeev, C., and Karthika Natarajan.(2023) “Data augmentation in classifying chest radiograph images (CXR) using DCGAN-CNN.” GANs for Data Augmentation in Healthcare. Cham: Springer International Publishing, 2023. 91-110. https://doi.org/10.1007/978-3-031-43205-7\_6. (Springer).
  1. Rajeev, C., and Karthika Natarajan. “Coronary artery disease classification using ConvMixer based classifier from CT angiography images.” PeerJ Computer Science 11 (2025): e2771. (SCIE).
  2. C. Rajeev and Karthika Natarajan (2024). Analysis and Visualize the Predictive Model Performance: Manual Vs Automated Machine Learning (AutoML) Algorithms for Heart Failure Prediction. International Journal of Experimental Research and Review, 44, 31-44. DOI:https://doi.org/10.52756/ijerr.2024.v45spl.003. (Scopus).
  3. Rajeev, C., and Karthika Natarajan. “A Comparative Study Of Autogluon And H2O For Early Prediction Of Coronary Artery Disease Using Automated Machine Learning And XAI.” African Journal of Biomedical Research, 30 Oct. 2024, https://doi.org/10.53555/AJBR.v27i3S.3297. (Scopus).
  4. C. Rajeev and Karthika Natarajan “A Data-Driven Strategy for Coronary Artery Disease Prediction: AI,Class Balancing, and Explainable Models” communicated to International Journal of Applied Management Science. (Scopus-Under Review).
  5. C. Rajeev and Karthika Natarajan “Automatic Segmentation Of ALCAPA From 3D Image Dataset Using HPRUNET: High-Pitched Residual U-Network.” communicated to Computer Vision and Image Understanding.(SCI-Under Review).
  6. C. Rajeev and Karthika Natarajan “Segmentation and Interpretation of ALCAPA in 3D CTA Using X-HPRUNET and Explainable AI.” communicated to Journal of remote sensing.(ESCI-Under Review).
  7. Rajeev, C., and Kumar Swamy, K. (2019). “Deep learning security systems”. International Journal of Engineering and Advanced Technology , 8(6S3), 1823–1826. https://doi.org/10.35940/ijeat.F1347.0986S319. (Scopus).
  8. Rajeev, C., and Kumar Swamy, K. (2019). “Detect wormhole attack and application of wireless sensor network”. International Journal of Engineering and Advanced Technology , 8(6S3), 2160–2163. https://doi.org/10.35940/ijeat.F1417.0986S319. (Scopus).
  9. P. Shirisha and C. Rajeev (2018). “Improving Query Efficiency: Top-k Dominating Queries Over the Multi-Dimensional Data”.International Journal of Pure and Applied Mathematics, 118(14), 57–61.ISSN: 1311-8080.
  10. A.Damodar, C.Rajeev, M.Srinivas Reddy.(2019). “Privacy Preserving in Data Mining with No Data Loss with a Combinational Scheme”. International Journal of Recent Technology and Engineering (IJRTE),ISSN: 2277-3878, Volume-8 Issue-4S3, December 2019.
  11. K. Kumar Swamy, Dr.S.P.Anandaraj, A.Radha Rani, C.Rajeev (2018). “A survey on security and privacy requirements and the solution approaches in IOT”.International Journal of Engineering & Technology, Volume-8 Issue-7, 1518-1522.
  12. Rajeev, C., and Damodar, A. (2019). “Big Data and Deep Learning: Using Python Keras to Predict Patient Diabetes and Employee’s Wages Per Hour”. International Journal of Engineering and Advanced Technology, 9(1S6), 175–178. https://doi.org/10.35940/ijeat.A1035.1291S619. (Scopus)
  13. Reddy, L. V., and Rajeev, C. (2014). A Review on Dynamically Changing the Quality of Service Requirements for SOA based Applications in Cloud. Global Journal of Computer Science and Technology , 14(1-B), 17
  1. Karthika Natarajan and Rajeev, C “Automated prediction of Heart disease using AutoML-H20 across diverse datasets” International Conference on Next Generation Information System Engineering (NGISE) (IEEE Conference), held on 28th-29th March, 2025, organized by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, India. (Inpress).
  2. Karthika Natarajan and Rajeev, Enhancing coronary artery disease detection with class balancing techniques and Explainable AI integration: a machine learning approach” communicated to “International Conference on Innovative Discoveries and Emerging Advancements in Applied Sciences” (iDEAAS-2024) held  on  April 18-20, 2024, organized by MAHSA University, Selangor, Malaysia.
  3. C. Rajeev and Karthika Natarajan -“Exploring Machine Learning, Deep Learning and Optimization Approaches for Predicting the Non-Communicable Diseases (NCDs): A Comprehensive Review”, International Conference on Knowledge Engineering and Artificial Intelligence (ICKEAI-2024) held on Feb-16th  to 17th, 2024 organized by  St. Peter’s Engineering College, Hyderabad.
  4. C. Rajeev and Karthika Natarajan  “Performance Assessment of Supervised Machine Learning Techniques for Classifying the Chronic Diabetes Diseases”. 5th International Food, Agriculture and Veterinary Sciences Congress  held online on March 17-19, 2023 / Kars, Türkiye  organized by Kafka’s University and IKSAD Institute, ISBN: 978-625-367-003-0, Conference p.no:147-155. (only proceedings).
  5. C. Rajeev and L. Venkateswara Reddy, “Changing the QoS Requirements for Service Based Applications in Cloud using Decentralized Self-Adaptation Mechanism” was presented in the 2nd International Conference on Innovations in Computer Science & Engineering (ICICSE-2014) organized by Guru Nanak Institutions Technical Campus, Hyderabad.
  1. Patent published under the Indian Patent Office (IPO) with the title “Assessment of Coronary Artery Disease (CAD) through the integration of classification algorithms, ensemble methods, and ANN with emphasis on class balancing techniques.” The patent, assigned to VIT-AP University, was authored by Rajeev and Karthika Natarajan and published on 09/02/2024 under Application No. 202441004668 A.
  2. Patent published under the Indian Patent Office (IPO) with the title “Automatic Segmentation of ALCAPA from 3D Image Dataset Using Residual U-Network.” The patent, assigned to VIT-AP University, was authored by Rajeev and Karthika Natarajan and published on 09/02/2024 under Patent No. 202441004670 A.
  3. Patent published under the Indian Patent Office (IPO) with the title “A vehicle with smart biometric device.” The patent, assigned to Malla Reddy Engineering College for Women, was authored by C. Rajeev and some other authors and published on  01/06/2018 under Patent No. 201841019142 A.

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FDPs

  1. Participated in the National Faculty Development Program (FDP) on “Enhancing Research & Innovation Funding”, organized by the Innovation Incubation and Entrepreneurship Cell (IIEC), VIT-AP University, Amaravati, held from 7th to 11th April.
  2. 4th One-Week International Workshop on “Technical Writing using LATEX”(Online), organized by the School of Electronics Engineering (SENSE) and technically co-sponsored by VIT-AP IEEE SB and MTT SBC, at VIT-AP University, Amaravati, India, from 30th March to 5th April 2024.
  3. Attended the Online Professional Development Programme on “Cultivating AI and Machine Learning Expertise”, organized by the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Bachupally Campus, Hyderabad, from 5th to 9th August 2024.
  4. Participated in the five-day online FDP on “Explore Innovative Trends in Machine Learning and Deep Learning”, organized by the Department of CSE – Artificial Intelligence & Machine Learning, Lakireddy BaliReddy College of Engineering (A), Mylavaram, Andhra Pradesh, from 10th to 14th June 2024.
  5. Participated in the six-day workshop on “Mathematical Foundations for AI and Machine Learning Applications”, organized by the School of Advanced Sciences (SAS), VIT-AP University, India, from 16th to 21st September 2024.
  6. Participated in the IP Awareness/Training Program organized under the Intellectual Property Office, India, held on 26th April 2023.
  7. Participated in the Guest Lecture on “Agile Methodologies”, organized by the School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, held on 24th February 2023.
  8. Participated in the Industry Guest Lecture on “Classification of Machine Learning Algorithms: Overview and Application”, organized by the School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, held on 9th December 2022.
  9. Participated in a 5-day online workshop on “Skill Development for Academic Research”, organized by the Academic Research Office, VIT-AP University, Amaravati, held from 27th to 31st December 2022.
  10. Participated in the AICTE-recognized online FDP on “Computer Programming using Python”, organized by the Department of Computer Science and Engineering, NITTTR Chandigarh, from 21st to 25th February 2022.
  11. Participated in a six-day online FDP on “Machine Learning with R Programming”,organized by the Department of Computer Science & Engineering, QIS College of Engineering & Technology, Ongole, in association with Tech5 Technologies, from 11th to 16th May 2020.
  12. Participated in a five-day online FDP on “Advanced Python Programming using Django”, organized by the Department of Computer Science & Engineering, Malineni Lakshmaiah Women’s Engineering College, Guntur, in association with Datapoint Solutions, Hyderabad, from 21st to 25th May 2020.
  13. Participated in the international level one-week FDP on “Advanced Data Science and its Applications”, organized by the Department of CSE & IT, BVRIT Hyderabad College of Engineering for Women, from 22nd to 26th June 2020.
  14. Participated in a one-week refresher course on “Problem Solving Through Programming Languages”, organized by Malla Reddy Engineering College for Women, from 24th to 29th June 2019.
  15. Attended a three-day national workshop on “Cloud Computing in Academics and Research” at JNTUA College of Engineering, Pulivendula in 2013.

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