G Amjad Khan

@gprec.ac.in

Associate Professor and Department of Electronics and Communication Engineering
G Pulla Reddy Engineering College

G Amjad Khan


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https://researchid.co/amjadkhan

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Artificial Intelligence
8

Scopus Publications

33

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Impact of Machine Learning-based Cybersecurity Intrusion Detection Systems on Organizational Data Protection
    G. Amjad Khan, Tegalapalli Anwesha, R. Kalaivani, Sowmya Gali, Pasuluri Bindu Swetha, N Ramadevi
    Proceedings of 6th International Conference on Expert Clouds and Applications Icoeca 2026, 2026
    The accelerated growth of networked systems has brought about an exposure to sophisticated cyber threats, which mandate intelligent and explainable mechanisms to detect them. This research introduces a real time cyber threat detection and analysis platform based on deep neural networks and explainable artificial intelligence techniques. The system uses a multilayer neural network model using structured network traffic features and has a strict correspondence between training and inference preprocessing to ensure prediction consistency. A scalable batch-based inference pipeline is implemented for efficient handling of large traffic volumes while probabilistic threat scoring enables risk-aware decision making. To aid transparency, SHAP-based explain is integrated to recognize influential features giving to attack predictions in assistance of analyst trust and forensic investigation. The platform further includes user authentication, permanent results logging, and automated alerting via email and SMS for enabling timely response. Experimental deployment shows that it achieves its objective of classifying the malicious and normal traffic patterns and giving interpretable explains about how models functioning, and it can be deployed into real-world security monitoring scenario.
  • Dynamic Spectrum Allocation via Quantum-Driven Learning for Cognitive Radio Systems
    G. Amjad Khan, Rajganesh A, P. Thenmozhi, V. Anitha Lakshmi, R. Krishnamoorthy, R. Thiagarajan
    Proceedings of the 5th International Conference on Sentiment Analysis and Deep Learning Icsadl 2026, 2026
    The sharp increase in the number of wireless devices has increased the need of dynamic and smart spectrum management within Cognitive Radio Networks (CRNs). The traditional methods of static allocation are not efficient towards responding to real-time spectrum scarcity and dynamic channel environment. In this paper, a new Quantum-Driven Reinforcement Learning (QRL) paradigm is proposed as an efficient and safe method of allocating dynamically the spectrum in CRNs. The suggested model uses the principles of quantum amplitude encoding and Grover-inspired quantum search to allow the Secondary Users (SUs) to acquire the knowledge of spectrum availability at a higher rate of convergence and reduced collision risk with the Primary Users (PUs). The CRN simulation environment has real world limitations, that are multipath fading, user mobility and adversarial interference. The suggested QRL model was tested in comparison with the classical Q-learning, Deep Q-Networks (DQN), and Support Vector Machine (SVM) classifiers. Findings indicate that the QRL model attains 95.0 % efficiency in spectrum utilization, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{0. 7 \%} \text{PU}$</tex> interference and a faster convergence rate (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{3 0 \%}$</tex>) than DQN. In addition, the QRL architecture has less inference latency and scales to multiple SU agents, and it is also computationally efficient. These advancements confirm the possibilities of quantum-enhanced learning to real-time spectrum decision-making of next-generation 6 G and IoTdriven wireless networks. The paper draws a conclusion that quantum-based decision agents will be capable of offering adaptive, energy efficient and interference aware spectrum allocation even in highly dynamic settings. Further development of this project will be to execute quantum circuit optimization and to test the model on quantum processors hardware to determine the viability of real-world implementation in distributed spectrum systems.
  • Integrated Deep Learning Methodology for Early Glaucoma Detection and Diagnosis using Retinal Fundus Images
    G. Amjad Khan, N. Deepthi, Fahimuddin Shaik, Pandurangaraju B., Shaik Karimullah, Peddapullaiahgari Hariobulesu
    2024 International Conference on Advances in Computing Research on Science Engineering and Technology Acroset 2024, 2024
    This study proposes a thorough methodology for diagnosing glaucoma in retinal fundus pictures using modern image processing and deep learning techniques. The photos are resized using Nearest Neighbor Interpolation before being converted to grayscale, noise reduced with a Kalman Filter, and contrast enhanced with Dualistic Sub-Image Histogram Equalization. Scale-Invariant Feature Transform (SIFT) is used to extract features, which are then processed by VGS Net, a deep learning network developed exclusively for glaucoma diagnosis. The methodology has been confirmed by extensive performance analysis, with an accuracy of 99.06%, precision of 99.19%, recall of 98.13%, and an F1 score of 97.65%. These findings show that the proposed technique is both effective and reliable, making it a promising tool for detecting early glaucoma in clinical settings.
  • A 2.4GHz LNA Design for 802.11 WLAN Applications
    D Sharath Babu, M Madhusudhan Reddy, G Ramesh, Dv Srihari Babu, S M Shamsheer Daula, G Amjad Khan
    2021 5th Conference on Information and Communication Technology Cict 2021, 2021
    Over the last decade, the front-end design in the RF transceiver has become a major role and is greatly enhancing the data rate of the transceiver. RF design is augmenting due to the fast-growing wireless communications markets. For a motivated potential design required data rate, low latency, gain, stability, and linearity considerations must converge. Being different wings of technology, the RF design, and its implementation is a difficult task even though such long research on RF and Microwave theory. CMOS technology has made unique considerable progress since its development in the mid-sixties. Over ten years after the fact, during the seventies, the first industrial products were made available in the market. Today, CMOS technology is a widely accepted standard for innovation and the versatile market of computerized ICs. The essential ambition of RF communication is to transmit and receive information through analog RF front ends. LNAs are found in an environment to amplify weak signals which are operating in numerous operational frequencies such as Bluetooth devices, cordless telephones, some radio equipment, and wireless keyboards. In this paper, with associated trade-offs in RF design, a systematic method for designing an LNA block with accurate MOS transistor sizing and computation of precise passive components is presented.
  • Speech Enhancement Through an Extended Sub-band Adaptive Filter for Nonstationary Noise Environments
    G. Amjad Khan, K. E. Sreenivasa Murthy
    Learning and Analytics in Intelligent Systems, 2020
  • Full reference-image quality assessment with global and local image regions for visual quality perception and optimization
    Syed Shanawaz, M. Tech, Sagheer Gul, Z Wang, A Bovik, et al.
    International Journal of Innovative Technology and Exploring Engineering, 2019
    Quality Assessment (IQA) by using mathematical methods is offering favorable results in calculating visual quality of distorted images. These methods are developed by examining effective features that are compatible with characteristics of Human Visual System (HVS). But many of those methods are difficult to apply for optimization problems. This paper presents DCT based metric with easy implementation and having mathematical properties like differentiability, convexity and valid distance metricability to overcome the optimization problems. By using this method we are able to calculate the quality of image as a whole as well as the quality of local image regions.
  • Adaptive block memory management for spatial and temporal locality in flash based storage systems
    International Journal of Recent Technology and Engineering, 2019
  • A comparative analysis of QRS detection algorithm for ECG recordings in telehealth monitoring systems
    Journal of Advanced Research in Dynamical and Control Systems, 2017

RECENT SCHOLAR PUBLICATIONS

  • An Evaluation Approach towards Dynamic Memory Balancing in IoT Applications Through Machine Learning Algorithms
    S Daula, GA Khan, G Ramesh, MM Reddy
    Science and Technology: Developments and Applications Vol. 4, 149-158 , 2025
    2025
  • SMART ROBOT USING MACHINE LEARNING FOR HEALTHMONITORING WITH SENSOR
    DGAKDSMSDDGRDMMRDRSBDSSBDPAKSLLP Kumar
    2024
  • A WIDESPREAD REVIEW ON ADVANCEMENTS AND CHALLENGES OF INTERNET OF THINGS IN THE ROBOTIC INDUSTRY
    DGAK Dr S M Shamsheer Daula
    INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND CYBER-PHYSICAL E N GINEERING … , 2024
    2024
  • A review on AI based Scaffold Architecture Network in Embedded System
    DGAK Dr S M Shamsheer Daula
    Harnesing AI for Healthier Future and Sustainability Well being , 2024
    2024
  • Classification of iris Data Set using Supervised machine Learning Algorithm
    DSMSD Dr G Amjad Khan
    Harnesing AI for Healthier Future and Sustainability Well being , 2024
    2024
  • Integrated Deep Learning Methodology for Early Glaucoma Detection and Diagnosis using Retinal Fundus Images
    SK Dr G Amjad Khan,N. Deepthi,Fahimuddin Shaik,Pandurangaraju B.
    IEEE Xplore , 2024
    2024
  • Cognitive Radio System Supremacy Channel Configuration
    DGA B. Naga Rajesh
    Power System Technology 48 (3), 347-356 , 2024
    2024
  • Artificial Intelligence Based Medical Image Processing for Diabetic Retinopathy Detection
    Dr G Amjad Khan,Dr. Shaik Saheb Basha,Dr. Pinjari Abdul Khayum
    Journal of Propulsion Technology 44 (No. 3), 1417-1417 , 2023
    2023
  • Empirical Analysis of Artificial limb for Trans Radial Amputation People with the support of advanced machine learning strategies.
    GA Khan, SM Daula, G Ramesh, SM Reddy
    International Journal of Early Childhood Special Education 14 (5) , 2022
    2022
  • SELF LEARNING KIT FOR INCORPORATING MIND EDUCATION OFCHILDREN USING MACHINE LEARNING
    DPCDMKSKPDSDTSDGAKSMMMDRM DESHMUKH
    2022
  • A 2.4 GHz LNA design for 802.11 WLAN applications
    DS Babu, MM Reddy, G Ramesh, DS Babu, SMS Daula, GA Khan
    2021 5th Conference on Information and Communication Technology (CICT), 1-5 , 2021
    2021
    Citations: 3
  • AN IOT ENABLED FOOT OPERATED TWO WHEELER STEERING MECHANISM FOR HANDICAPPED PERSONS
    PR Kshirsagar, FXE Deepak, JTJ Prakash, W Ritha, N Sammeta, ...
    AU Patent : 2,020,102,133 , 2021
    2021
  • Enhanced Classifier Model for ECG Signal Analysis
    PAKSMD G.Amjad Khan , Shaik Saheb Basha
    Design Engineering, 15308-15317 , 2021
    2021
  • An IoT Enabled Foot Operated Two wheeler Steering Mechanism for Handicapped Persons
    DGAK Dr S M Shamsheer Daula
    2020
  • Speech Enhancement through an Extended Sub band Adaptive Filter for Non Stationary Noise Environments
    KESM G Amjad Khan
    LAIS, 77-88 , 2020
    2020
  • Efficient Key Data List for Enhancing Symmetric Read – Write Page Access
    HAAGAK S. M. Shamsheer Daula, G. Ramesh
    TEST Engineering Journal 82 (February), 11276 - 11279 , 2020
    2020
  • Objective Evaluation Measures for Speech Enhancement for Non Stationary Noise Environments
    GPK G. Amjad Khan , M. Devendra, S. M. Shamsheer Daula
    TEST Engineering Journal 82 (January), 11283 - 11288 , 2020
    2020
  • Full Reference-Image Quality Assessment with Global and Local Image Regions for Visual Quality Perception and Optimization
    GAK Syed Shanawaz
    International Conferences on Advanced Signal Processing ,Power Embedded,Soft … , 2019
    2019
  • Adaptive Block Memory Management for Spatial and
    Dr S M Shamsheer Daula,G. Amjad Khan, K E Sreenivasa Murthy
    International Conferences on Advanced Signal Processing ,Power Embedded,Soft … , 2019
    2019
  • A Comparative Analysis of Subjective and Objective Quality Measures for Noisy Speech Enhancement
    KESM G Amjad Khan
    International Conferences on Advanced Signal Processing ,Power Embedded,Soft … , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • A throughput analysis on page replacement algorithms in cache memory management
    SS Daula, KS Murthy, GA Khan
    system 1 (12) , 2012
    2012
    Citations: 18
  • Affine projection algorithm applied to adaptive noise cancellation
    J Satyanarayana, GA Khan
    International Journal on Electronics & Communication Technology 7109, 196-199 , 2012
    2012
    Citations: 6
  • A Survey on Performance Improvement of Embedded systems designed using ARM family processors
    SM ShamsheerDaula, DKES Murthy, GA Khan
    International Journal of Engineering Research and Applications (IJERA) ISSN … , 2012
    2012
    Citations: 4
  • A 2.4 GHz LNA design for 802.11 WLAN applications
    DS Babu, MM Reddy, G Ramesh, DS Babu, SMS Daula, GA Khan
    2021 5th Conference on Information and Communication Technology (CICT), 1-5 , 2021
    2021
    Citations: 3
  • Regularized NLMS adaptive algorithm for noise cancellation in speech signals
    GA Khan, K Murthy
    IOSR Journal of Electronics and Communication Engineering 11 (4), 41-45 , 2016
    2016
    Citations: 1
  • Adaptive Noise Cancellation in Speech Signals by Using Affine Projection Algorithm
    J Satyanarayana, GA Khan
    International Journal of Engineering Research and Applications (IJERA) 2 (2 … , 2012
    2012
    Citations: 1
  • An Evaluation Approach towards Dynamic Memory Balancing in IoT Applications Through Machine Learning Algorithms
    S Daula, GA Khan, G Ramesh, MM Reddy
    Science and Technology: Developments and Applications Vol. 4, 149-158 , 2025
    2025
  • SMART ROBOT USING MACHINE LEARNING FOR HEALTHMONITORING WITH SENSOR
    DGAKDSMSDDGRDMMRDRSBDSSBDPAKSLLP Kumar
    2024
  • A WIDESPREAD REVIEW ON ADVANCEMENTS AND CHALLENGES OF INTERNET OF THINGS IN THE ROBOTIC INDUSTRY
    DGAK Dr S M Shamsheer Daula
    INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND CYBER-PHYSICAL E N GINEERING … , 2024
    2024
  • A review on AI based Scaffold Architecture Network in Embedded System
    DGAK Dr S M Shamsheer Daula
    Harnesing AI for Healthier Future and Sustainability Well being , 2024
    2024
  • Classification of iris Data Set using Supervised machine Learning Algorithm
    DSMSD Dr G Amjad Khan
    Harnesing AI for Healthier Future and Sustainability Well being , 2024
    2024
  • Integrated Deep Learning Methodology for Early Glaucoma Detection and Diagnosis using Retinal Fundus Images
    SK Dr G Amjad Khan,N. Deepthi,Fahimuddin Shaik,Pandurangaraju B.
    IEEE Xplore , 2024
    2024
  • Cognitive Radio System Supremacy Channel Configuration
    DGA B. Naga Rajesh
    Power System Technology 48 (3), 347-356 , 2024
    2024
  • Artificial Intelligence Based Medical Image Processing for Diabetic Retinopathy Detection
    Dr G Amjad Khan,Dr. Shaik Saheb Basha,Dr. Pinjari Abdul Khayum
    Journal of Propulsion Technology 44 (No. 3), 1417-1417 , 2023
    2023
  • Empirical Analysis of Artificial limb for Trans Radial Amputation People with the support of advanced machine learning strategies.
    GA Khan, SM Daula, G Ramesh, SM Reddy
    International Journal of Early Childhood Special Education 14 (5) , 2022
    2022
  • SELF LEARNING KIT FOR INCORPORATING MIND EDUCATION OFCHILDREN USING MACHINE LEARNING
    DPCDMKSKPDSDTSDGAKSMMMDRM DESHMUKH
    2022
  • AN IOT ENABLED FOOT OPERATED TWO WHEELER STEERING MECHANISM FOR HANDICAPPED PERSONS
    PR Kshirsagar, FXE Deepak, JTJ Prakash, W Ritha, N Sammeta, ...
    AU Patent : 2,020,102,133 , 2021
    2021
  • Enhanced Classifier Model for ECG Signal Analysis
    PAKSMD G.Amjad Khan , Shaik Saheb Basha
    Design Engineering, 15308-15317 , 2021
    2021
  • An IoT Enabled Foot Operated Two wheeler Steering Mechanism for Handicapped Persons
    DGAK Dr S M Shamsheer Daula
    2020
  • Speech Enhancement through an Extended Sub band Adaptive Filter for Non Stationary Noise Environments
    KESM G Amjad Khan
    LAIS, 77-88 , 2020
    2020