Mr. Rahul Kumar Singh

Assistant Professor

Assistant Professor

Department of Computer Science & Engineering
School of Engineering and Technology
Noida International University, Greater Noida, Uttar Pradesh

Email: rahul.singh1@niu.edu.in

Experience (9+ Years)

Introduction

Assistant Professor in Engineering with a focus on research in emerging technologies including AI, IoT, and cloud computing. Actively involved in guiding student projects, publishing high-impact papers, and contributing to academic excellence.

Academic Qualifications

  • Ph.D. (Pursuing) – Computer Science & Engineering, Netaji Subhas University of Technology (NSUT), Delhi (2024)
  • M.Tech. (CSE) – Maharishi Dayanand University, Rohtak (2016)
  • MBA (Marketing) – Symbiosis University, Pune (2018)
  • B.Tech. (CSE) – Maharishi Dayanand University, Rohtak (2014)
  • Senior Secondary (Class 12) – CBSE, Army School, Danapur Cantt (2009)
  • Secondary (Class 10) – CBSE, Army School, Danapur Cantt (2007)

Professional Experience

Assistant Professor, Noida International University, Greater Noida (April 2025 – Present)
• Delivered Two days Hands-on Workshop on Natural Language Processing

Assistant Professor, K.R. Mangalam University, Gurugram (Feb 2024 – April 2025)
• Coordinator: Course Packet Development
• Member: NAAC Criterion 2, University Discipline Committee, Anti-Ragging Squad
• Delivered Workshops:
1. Summer Internship on Machine Learning
2. Faculty Workshop on AI Tools for Research

Assistant Professor, Sandip University, Nashik (Apr 2022 – Feb 2024)
• Project & Seminar Coordinator, Dept. of CTIS
• NAAC Criterion-2 Member, DQAC

Assistant Professor, Chandigarh University (Jan 2020 – Mar 2022)
• Member: NIRF, NBA, ABET Accreditation
• Blackboard LMS Trainer

Assistant Professor, Satya College of Engineering & Technology (Aug 2017 – Jan 2020)
Research Analyst, PineTree Solutions, Gurugram (Aug 2016 – July 2017)

Research Interests

  • Ontology Engineering
  • Information Retrieval
  • Machine Learning & Deep Learning
  • Federated and Explainable AI

Publications

SCI/Scopus Indexed Journals

  1. Hybrid encryption and Riesz-based biometric authentication, Journal of Modern Optics, 2025
  2. Vehicle Number Plate Recognition in Hazy Environment, The Journal of Supercomputing, 2025 (Published)
  3. Task offloading in Fog-Cloud using M/G/G/K+2 model, High Technology Letters, 2024
  4. AI in DevOps for anomaly detection and predictive maintenance, IJCESEN, 2024 (Published)
  5. Improving transparency in fraud detection using explainable AI, SN Computer Science, 2025 (Published)

IEEE Conference Papers

  • Voice Assistants with Emotional Intelligence, IEEE SMART 2024
  • Lossless Steganography Implementation, IEEE ICAEECI 2023
  • Botrytis Cinerea Detection via ML, IEEE EASCT 2023
  • Sales Support Automation and SCM, AIP Conference Proceedings, 2023

Patents (30 Total | 3 UK Granted)

UK Patents Granted

  • AI-Based Hybrid Vehicle Charging Station (2024)
  • Smart Health Monitoring Band (2025)
  • Autonomous Wheelchair Navigation (2025)

Indian Patent Granted

  • Garbage Collection Vehicle System (2024)

Other Key Patents Published

  • Adaptive DL for Pattern Recognition
  • NeuralNetGuard for Industrial IoT
  • Lung Cancer Detection System
  • Lossless Steganography Framework

Workshops & Certifications

  • Coordinated: Data Analytics Workshop, Ducat Noida
  • Organized: Workshop on Generative AI (2023)
  • Attended FDPs/STCs from IIT Guwahati, Roorkee, Kanpur, NITTTR, and CSIR-CSIO

Workshops Attended

  • QIP Workshop on “Computer Vision- the Artificial Intelligence for an Eye”, IIT Indore (Feb 2022)
  • SERB National Workshop on “Human Robot Interaction for Bipedal Locomotion”, MANIT Bhopal (Mar 2022)
  • National Workshop on “Computational Intelligence and Blockchain Technology”, NIT Raipur (Oct 2021)
  • AICTE Course on “Communication Technologies”, NITTTR Chandigarh (May 2024)
  • Online STC on “AI, ML and DL”, NIT Warangal (May–June 2023)

Faculty Development Programs

  • FDP on “Cybersecurity and AL/ML”, IIT Guwahati (Jan 2025)
  • FDP on “Applications in ML”, IIT Roorkee (May 2024)
  • FDP on “Machine Learning”, IIT Kanpur (Apr 2021)

Courses and Certifications

  • NPTEL: “Natural Language Processing”, IIT Kharagpur (Jan–Apr 2025)
  • NPTEL: “Machine Learning and Deep Learning”, IIT Guwahati (Jul–Oct 2024)
  • Google: “Fundamentals of Digital Marketing” (Apr 2020)
  • NPTEL: “Introduction to Artificial Intelligence” (Apr 2020)
  • Coursera: “Getting Started with AWS Machine Learning” (Apr 2020)
  • British Council: “Skills Course – Impact Intermediate 1” (May 2014)

Professional Memberships

  • IEEE
  • IAENG
  • SDIWC
  • IFERP
  • Internet Society

Reviewer Roles

  • Reviewer – 5th IEEE International Conference on Intelligent Control, Computing and Communications
  • Reviewer – Journal of Recent Innovations in Computer Science and Technology (JRICST)

Skills & Tools

Languages: Python, R, SQL, PHP, C/C++, LaTeX
Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
Tools: MATLAB, MongoDB, VS Code, IntelliJ, Linux/Windows

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