Dr. Jyoti Mahur

Assistant Professor

Department of Computer Science and Engineering (AIML)
Noida International University, Greater Noida, U.P.
Email: jyoti.mahur@niu.edu.in


Introduction

Ms. Jyoti Mahur is a passionate academician and researcher with over 6.5 years of teaching and project coordination experience in the domain of Artificial Intelligence and Machine Learning. Her expertise spans deep learning, computer vision, NLP, and IoT, and she has led multiple student-driven AI-based projects. She has also actively contributed to academic coordination, FDPs, and national conferences.


Academic Qualifications

  • Ph.D. – Jaypee Institute of Information Technology, Noida (2025)
  • M.Tech – Jaypee Institute of Information Technology, Noida (2020)
  • B.Tech – BBIET, Bulandshar (2016)

Professional Experience

  • Assistant Professor, Noida International University, Greater Noida (Oct 2024 – Present)
  • Assistant Professor, MIET, Gr. Noida (2021 – 2024)
  • Project Coordinator, Atal Innovation Center, New Delhi (2020 – 2021)
  • Project Associate, Project World, New Delhi (2016 – 2018)
  • Assistant Professor, MIET, Gr. Noida (2014 – 2016)

Academic & Technical Interests

  • Artificial Intelligence & Machine Learning
  • Cybersecurity & NLP
  • Data Analytics & Visualization
  • Deep Learning & IoT
  • Computer Vision & Big Data
  • Computer Networks

Technical Projects

  • AI-based Motion Sensing & Spying Robot (M.Tech): PIR + ATmega328 + Android App
  • Gesture-Controlled Robot (B.Tech)
  • Auto Dialer Home Security System (Mini-project)
  • Intruder Alarm using IR sensors (Diploma)

Software & EDA Tools

  • Python, OpenCV, YOLO, Keras, Google Colab, Jupyter
  • Synopsys (HSPICE, Custom Compiler), Design Vision
  • Cadence Virtuoso, OrCAD, PSPICE, MATLAB
  • Mentor Graphics Eldo

Research Publications

  • Image Recognition with ML – CRC Press (Taylor & Francis)
  • Motion Detection using Pyroelectric Sensors – JETIR
  • Low Power Telecom Design with VHDL – JETIR
  • Edge Detection of IR Image – OPTIK
  • Convolutional LSTM for Precipitation Nowcasting
  • Fashion-MNIST for ML Benchmarking
  • Wireless Communication via Zigbee – Int. Conference

Academic Engagements

  • NAAC Core Team Member
  • Course Coordinator – Artificial Intelligence
  • FDP Organizer – AIML
  • Head – Cyber Security Club
  • Head – Human Values Club
  • National Conference Organizer

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