ASHUTOSH PANDEY

About

Ashutosh Pandey is a passionate researcher and academician in the field of Computer Applications and Engineering. Currently pursuing a Ph.D. in Computer Applications from Invertis University, Bareilly, he has consistently demonstrated a commitment to academic excellence and innovation.
He completed his M.Tech in Computer Science & Engineering from Shri Krishna University, Chhatarpur (Madhya Pradesh) in 2020, where he deepened his knowledge of advanced computing technologies. Prior to this, he earned his Master of Computer Application (MCA) degree from United Institute of Management, Prayagraj, establishing a strong foundation in software development, data structures, and system design.
With a solid academic trajectory and ongoing research involvement, Ashutosh Pandey continues to contribute to the evolving landscape of intelligent systems, data science, and AI-driven applications.

Employment

• United Institute of Management Faculty
  2021 - Present

Education

• Shri Krishna University M.TECH
  2018 - 2020
• UNITED INSTITUTE OF MANAGEMENT MASTER OF COMPUTER APPLICATION
  2011 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• YOLOv8- Driven Object Detection Framework for Real-Time Vehicles and Pedestrian Monitoring in Adverse Conditions
  International Journal of Computer Information Systems and Industrial Management Applications 2026 DOI: 10.70917/ijcisim-2026-3011
  +Save
• Enhancing tuberculosis diagnosis with YOLOv5 for real-time x-ray image detection
  AIP Conference Proceedings 2026 DOI: 10.1063/5.0322788
  +Save
• Artificial Intelligence in Mining
  2026 DOI: 10.4018/979-8-3373-5946-5.ch007
  +Save
• Graph Mining
  Springer Nature Switzerland 2025 DOI: 10.1007/978-3-031-93802-3
  +Save
• Cyber Security for Smart Factories Using Qualitative and Quantitative Research
  2025 DOI: 10.4018/979-8-3373-0583-7.ch008
  +Save
• Cyber Security for Smart Factories Using Qualitative and Quantitative Research
  Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses 2025 DOI: 10.4018/979-8-3373-0583-7.ch008
  +Save
• Integrating Emotion Recognition, Vehicle Detection & Predictive Safety: A Comprehensive Survey for Intelligent Transportation Systems
  International Conference on Innovations in Intelligent Systems Advancements in Computing Communication and Cybersecurity Isac3 2025 2025 DOI: 10.1109/ISAC364032.2025.11156882
  +Save
• REINVENTING ARTISTIC IDENTITY IN THE AGE OF ALGORITHMS
  Shodhkosh Journal of Visual and Performing Arts 2025 DOI: 10.29121/shodhkosh.v6.i2s.2025.6737
  +Save
• Application of Convolutional Neural Networks for Early Detection and Classification of Alzheimer's disease from MRI Images
  Journal of Electrical Systems 2024 DOI: 10.52783/jes.1346
  +Save