Mr. Krishna Prakash R | Medical | Best Researcher Award

Assistant Professor at Sona College of Technology, India.

Mr. Krishna Prakash R is an emerging academician and researcher in the domain of Information and Communication Engineering, with over a decade of combined experience in academia and the software industry. Currently pursuing his Ph.D. at Anna University, he specializes in AI, machine learning, and data-driven technologies. He has actively contributed to curriculum innovation, technical skill development, and institutional quality assurance. His multidisciplinary experience and technical acumen support both theoretical research and practical implementation in computing education and systems.

Professional Profile

Google Scholar

🎓 Education 

• Ph.D. in Information and Communication Engineering (Pursuing, 2023–Present)
  Anna University, Chennai

• Master of Engineering in Computer Science and Engineering (2012–2014)
  Gnanamani College of Engineering, Namakkal (Affiliated to Anna University, Chennai)
  CGPA: 7.87/10

• Bachelor of Technology in Information Technology (2007–2011)
  Paavai Engineering College, Namakkal (Affiliated to Anna University, Chennai)
  CGPA: 7.71/10

• Diploma in Information Technology (2005–2008)
  The Salem Polytechnic College, Salem
  Percentage: 86.54%

💼 Experience 

Mr. Krishna Prakash R brings over 10 years of professional experience, including more than 7 years in academia and nearly 3 years in the IT industry. He is currently working as an Assistant Professor at Sona College of Technology since June 2022. Prior to this, he held assistant professor positions at Kongunadu College of Engineering and Technology and Annapoorana Engineering College, contributing to curriculum development, mentoring, and quality assurance initiatives.

In the industry domain, he worked as a Title Specialist at First American (India) Pvt. Ltd., where he handled Title Insurance documentation, Schedule B tasks, and process support for the Western U.S. region. He is well-versed in academic instruction, digital platforms, and institutional accreditation processes such as NBA.

🔬 Research Interests

• Artificial Intelligence

• Data Structures

• Computer Networks

• Machine Learning

• Deep Learning

• Software Quality Assurance

📊 Author Metrics :

• Book Published:
  Computer Networks (Charulatha Publications, ISBN: 978-93-90967-85-8), aligned with the 2020 regulation syllabus of Kongunadu College of Engineering and Technology.

• Certifications:

  • Python Foundation (Infosys Springboard)

  • Google UX Design Certificate

  • Google Data Analytics Professional Certificate

  • Oracle Certified Associate – Oracle Database 10g Administrator

  • C Programming – Directorate of Technical Education, Chennai

  • NITTT (8-module course certified by AICTE)

• Technical Skills:
  Proficient in C, C++, Python, HTML, CSS, WordPress, Joomla, Adobe Photoshop, and Windows OS environments. Experienced in PC hardware servicing and maintenance.

Top Noted Publications:

1. Comprehensive Investigation on Deep Learning Models: Applications, Advantages, and Challenges

Authors: R. Avacharmal, S. Pamulaparthyvenkata, D. K. Pandiya, R. K. Prakash, et al.
Conference: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Citations: 11
Year: 2024
Highlights:
This study explores diverse deep learning architectures, showcasing their practical applications across domains such as computer vision, NLP, and healthcare. It also outlines challenges like overfitting, computational cost, and data privacy issues, proposing future research directions.

2. Leveraging Network Vulnerability Detection Using Improved Import Vector Machine and Cuckoo Search-Based Grey Wolf Optimizer

Authors: P. Preethi, I. Vasudevan, S. Saravanan, R. K. Prakash, A. Devendhiran
Conference: 2023 1st International Conference on Optimization Techniques for Learning (ICOTL)
Citations: 7
Year: 2023
Highlights:
Presents a hybrid AI approach combining Import Vector Machine and Cuckoo Search–based Grey Wolf Optimizer to enhance the detection rate of network vulnerabilities, with improved performance metrics in intrusion detection systems.

3. Hardiness Sensing for Susceptibility Using American Fuzzy Lop

Authors: R. K. Prakash, I. Vasudevan, I. Indhuja, T. Thangarasan, C. Krishnan
Journal: ITM Web of Conferences, Volume 37, Article 01003
Citations: 3
Year: 2021
Highlights:
Utilizes the American Fuzzy Lop (AFL) fuzzing technique to assess software hardiness and discover susceptibility to exploits. The work contributes to software security testing by identifying logical weaknesses and behavioral anomalies.

4. Blockchain Technology for Protecting Ingenuity of Image

Authors: N. Sarmiladevi, R. M. Balajee, A. Indhuia
Conference: 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
Citations: 2
Year: 2023
Highlights:
Proposes a blockchain-integrated framework for image authenticity verification and copyright protection. This enhances traceability and transparency in digital content distribution.

5. Post Quantum Steganography for Cloud Privacy Preservation Using Multivariable Quadratic Polynomial

Authors: K. Anguraju, R. K. Prakash, V. Sowjanya, P. Ranjith, E. Murali, P. Ashok
Conference: 2022 International Conference on Computer, Power and Communications (ICCPC)
Citations: 2
Year: 2022
Highlights:
Introduces a novel steganographic method resistant to quantum attacks, embedding sensitive data using multivariable quadratic polynomials in cloud storage environments to preserve privacy post-quantum cryptographic era.

Conclusion:

Mr. Krishna Prakash R exhibits strong interdisciplinary potential that connects AI, cybersecurity, and data science with healthcare innovation. His scholarly work, particularly in deep learning and secure systems, reflects a forward-looking, scalable impact in the medical field—especially in areas like secure diagnostics, telehealth, and patient data management.

Despite not being a traditional medical researcher, his AI-enabled, security-driven computing research aligns closely with modern medical challenges, making him a strong and deserving candidate for the Best Researcher Award in Medical (Computational or AI-Driven Innovation).