Md Amir Khusru Akhtar

@umu.ac.in

Associate Professor, Faculty of Computing and Information Technology
Usha Martin University, Ranchi, Jharkhand

Md Amir Khusru Akhtar


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Dr. Mohammad Amir Khusru Akhtar is an Associate Professor in the Faculty of Computing and Information Technology, Usha Martin University, Ranchi, Jharkhand, India. His research interest includes mobile ad-hoc network, natural language processing, deep learning and feature engineering. He is the author of over 20 peer-reviewed publications. He received his Ph.D from the Department of Computer Science & Engineering at Birla Institute of Technology, Mesra, Ranchi, India in 2015. He received his M. Tech degree from the Department of Computer Science & Engineering at Birla Institute of Technology, Mesra, Ranchi, India in 2009.

RESEARCH INTERESTS

Wireless Sensor Network, IOT, MANET
26

Scopus Publications

504

Scholar Citations

12

Scholar h-index

17

Scholar i10-index

Scopus Publications

  • Conscious artificial intelligence: Exploring machine awareness
    Integration of Artificial Intelligence and Machine Learning Methods for Smart Internet of Things Systems and Its Applications, 2024
  • Impact of Internet of Things Applications in Smart Villages
    Ceur Workshop Proceedings, 2024
  • Comparative Analysis of RNN Strategies for Image Caption Generation: Evaluating Accuracy and Efficiency Across Feature Extraction Models
    Priyanka Kaushik, Savani Dharti Pravinkumar, V. Narasiman, Md. Amir Khusru Akhtar, Divya Maheshwari, M. Manjubhashini
    Proceedings IEEE 2024 1st International Conference on Advances in Computing Communication and Networking Icac2n 2024, 2024
    Researchers in the Artificial Intelligence department have long held a strong interest in image caption generation. This area proves invaluable across fields such as robotic vision and business, where training computers to accurately describe images or environments is essential. Over the years, achieving this task has posed a significant challenge within artificial intelligence.Focusing on various RNN strategies and analyzing their influence on phrase production, this study introduces multiple deep neural network models designed for generating image captions. Additionally, the study includes the creation of captions for sample photos and compares several feature extraction and encoder models to determine which achieves the highest accuracy in caption generation.
  • Sensor Fusion in Autonomous Vehicle Decision-Making
    Priyanka Kaushik, S. Mahalakshmi, Rajesh Kumar Upadhyay, Md. Amir Khusru Akhtar, B. S. Gopika, Swapnila Roy
    2024 4th International Conference on Advancement in Electronics and Communication Engineering Aece 2024, 2024
    The core component of Advanced Driver Assistance Systems (ADAS) is the perception module, which has been a primary focus for enhancing robustness and quality against various environmental conditions like changing lighting and weather. Recent studies have highlighted sensor fusion, particularly between cameras and LiDAR. This research delves into a less explored domain, focusing on early fusion between camera modules and LiDAR sensors. Employing a deep learning architecture, we aim to integrate minimally processed radar signals and corresponding camera frames to mitigate inaccuracies in the perception module. Our evaluation, conducted using real- world data, demonstrates that combining radar and camera signals can reduce model errors by up to 15% in tasks related to object detection.
  • Unifying optimization forces: Harnessing the fine-structure constant in an electromagnetic-gravity optimization framework
    Md. Amir Khusru Akhtar, Mohit Kumar, Sahil Verma, Korhan Cengiz, Pawan Kumar Verma, Ruba Abu Khurma, Moutaz Alazab
    Journal of Intelligent Systems, 2024
    The electromagnetic-gravity optimization (EMGO) framework is a novel optimization technique that integrates the fine-structure constant and leverages electromagnetism and gravity principles to achieve efficient and robust optimization solutions. Through comprehensive performance evaluation and comparative analyses against state-of-the-art optimization techniques, EMGO demonstrates superior convergence speed and solution quality. Its unique balance between exploration and exploitation, enabled by the interplay of electromagnetic and gravity forces, makes it a powerful tool for finding optimal or near-optimal solutions in complex problem landscapes. The research contributes by introducing EMGO as a promising optimization approach with diverse applications in engineering, decision support systems, machine learning, data mining, and financial optimization. EMGO’s potential to revolutionize optimization methodologies, handle real-world problems effectively, and balance global exploration and local exploitation establishes its significance. Future research opportunities include exploring adaptive mechanisms, hybrid approaches, handling high-dimensional problems, and integrating machine learning techniques to enhance its capabilities further. EMGO gives a novel approach to optimization, and its efficacy, advantages, and potential for extensive adoption open new paths for advancing optimization in many scientific, engineering, and real-world domains.
  • FNN for Diabetic Prediction Using Oppositional Whale Optimization Algorithm
    Rajesh Chatterjee, Mohammad Amir Khusru Akhtar, Dinesh Kumar Pradhan, Falguni Chakraborty, Mohit Kumar, Sahil Verma, Ruba Abu Khurma, Maribel García-Arenas
    IEEE Access, 2024
    The medical field is witnessing rapid adoption of artificial intelligence (AI) and machine learning (ML), revolutionizing disease diagnosis and treatment management. Researchers explore how AI and ML can optimize medical decision-making, promising to transform healthcare. Feed Forward Neural Networks (FNN) are widely used to create predictive disease models, cross-validated by medical experts. However, complex medical data like diabetes leads to multi-modal search spaces prone to local minima, affecting optimal solutions. In this study, we focus on optimizing a diabetes dataset from the Pima Indian community, evaluating decision-making performance in diabetes management. Employing multimodal datasets, we compare various optimization algorithms, including the Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO). The test results encompass essential metrics like best-fit value, mean, median, and standard deviation to assess the impact of different optimization techniques. The findings highlight the superiority of the Oppositional Whale Optimization Algorithm (OWOA) over other methods employed in our research setup. This study demonstrates the immense potential of AI and metaheuristic algorithms to revolutionize medical diagnosis and treatment approaches, paving the way for future advancements in the healthcare landscape. Results reveal the superiority of OWOA over other methods. AI and metaheuristics show tremendous potential in transforming medical diagnosis and treatment, driving future healthcare advancements.
  • Break Down Resumes into Sections to Extract Data and Perform Text Analysis using Python
    Arvind Kumar Sinha, Md. Amir Khusru Akhtar, Mohit Kumar
    International Journal on Recent and Innovation Trends in Computing and Communication, 2023
    The objective of AI-based resume screening is to automate the screening process, and text, keyword, and named entity recognition extraction are critical. This paper discusses segmenting resumes in order to extract data and perform text analysis. The raw CV file has been imported, and the resume data cleaned to remove extra spaces, punctuation and stop words. To extract names from resumes, regular expressions are used. We have also used the spaCy library which is considered the most accurate natural language processing library. It includes already-trained models for entity recognition, parsing, and tagging. The experimental method is used with resume data sourced from Kaggle, and external Source (MTIS).
  • Design of Internet of Things System Based Smart City Model on Raspberry Pi
    Ajay Kumar, Md. Amir Khusru Akhtar, Abhishek Pandey
    IETE Journal of Research, 2023
    This research work focuses on the Internet of Things (IoT) idea utilizing an intelligent (or smart or innovative) city model with the support of Raspberry Pi. Using Raspberry Pi, this model examined the strategy and execution of a smart city established on the Internet of Things. This study attempts to create an urban IoT system utilizing Raspberry Pi to help smart cities solve domestic difficulties. The Internet of Things idea assists in analyzing the functions used to define the functions of the Raspberry Pi. The IoT is critical to creating a smart city concept in a developing nation like India. The various low-cost operations help analyze Raspberry Pi functionalities in the smart city model. A better Smart city development strategy has been presented when comparing the existing system, Raspberry Pi-based techniques.
  • Smart City Vehicle Accident Monitoring and Detection System Using (MEMS, GSM, GPS) Raspberry Pi 4
    Ajay Kumar, Mohammad Amir Khusru Akhtar, Abhishek Pandey, Ravi Prakash Srivastava
    IETE Journal of Research, 2023
    This study is focused on the concept of the Internet of Things (IoT)-based smart city model on Raspberry Pi. It assesses the design and implementation of a smart city based on the Internet of Things using Raspberry Pi. The main aim is to develop an urban IoT system that will aid in the realization of a smart city while also resolving domestic issues using Raspberry Pi. Raspberry Pi is an essential component of the smart city model's implemented system. The concept of the IoT helps analyze the functions used to define the functions of Raspberry Pi. By considering the developing country such as India, IoT plays an essential role in building a smart city model. In this work, the different low-cost operations have been analyzed based on the functions of Raspberry Pi for the smart city model.
  • An Analysis of Web Security Measures for Protecting Wireless Networks from Malicious Attack
    N. V. Balaji, Senthamilselvan K, Dharmesh Dhabliya, Dinesh Mishra, Manish Saxena, Md. Amir Khusru Akhtar
    2023 3rd International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2023, 2023
    This technical abstract is an analysis of internet security features for shielding Wi-Fi networks from malicious assaults. The main objective of this evaluation is to perceive the best security features for defensive a wireless community, and to determine which of the net protection alternatives are the best and within your means. The evaluation makes use of each quantitative and qualitative studies methods to degree different factors which includes cost, inconvenience, implementation complexity, and safety warranty. After an extensive assessment of the present net protection alternatives, its miles concluded that a combination of encryption, authentication, firewalls, access control lists, and antivirus/anti-malware software is the maximum efficient approach for preserving a wireless community secure from malicious assaults. Furthermore, the most excellent security features depend upon the size, complexity, and price range of the corporation, and ought to be tailor-made to fulfill the precise needs of the employer.
  • Classification and Identification of Objects in Images Using CNN
    Rajesh Kumar Chatterjee, Md. Amir Khusru Akhtar, Dinesh K. Pradhan
    Communications in Computer and Information Science, 2022
  • Enhancing cooperation in MANET using neighborhood compressive sensing model
    Mohammad Amir Khusru Akhtar, Gadadhar Sahoo
    Egyptian Informatics Journal, 2021
  • A Review of Wireless Charging in WSN
    Supriya Gupta, Md. Amir Khusru Akhtar
    Lecture Notes in Electrical Engineering, 2021
  • Resume Screening Using Natural Language Processing and Machine Learning: A Systematic Review
    Arvind Kumar Sinha, Md. Amir Khusru Akhtar, Ashwani Kumar
    Advances in Intelligent Systems and Computing, 2021
  • A modified GA-based load balanced clustering algorithm for WSN: MGALBC
    Mohit Kumar, Dinesh Kumar, Md Amir Khusru Akhtar
    International Journal of Embedded and Real Time Communication Systems, 2021
  • Botnet Dynamics and Measures for India
    Md. Amir Khusru Akhtar, Mohit Kumar, Ashwani Kumar
    Lecture Notes in Electrical Engineering, 2021
  • A NSGA-II based energy efficient routing algorithm for wireless sensor networks
    Journal of Information Science and Engineering, 2020
  • Mathematical model for sink mobility (MMSM) in wireless sensor networks to improve network lifetime
    Mohit Kumar, Dinesh Kumar, Md. Amir Khusru Akhtar
    Communications in Computer and Information Science, 2019
  • Automata for santali language processing
    Md. Amir Khusru Akhtar, Mohit Kumar, Gadadhar Sahoo
    2017 International Conference on Advances in Computing Communications and Informatics Icacci 2017, 2017
  • Digital corpus of santali language
    Amir Khusru Akhtar, Gadadhar Sahoo, Mohit Kumar
    2017 International Conference on Advances in Computing Communications and Informatics Icacci 2017, 2017
  • Reduction in resource consumption to enhance cooperation in MANET using compressive sensing
    Md. Amir Khusru Akhtar, G. Sahoo
    Smart Innovation Systems and Technologies, 2016
  • Enhancing cooperation in MANET using the Backbone Group model (An application of Maximum Coverage Problem)
    Md. Amir Khusru Akhtar, G. Sahoo
    Procedia Computer Science, 2015
  • Possibility and necessity measures to enhance reliability and cooperation in MANETS
    Indian Journal of Science and Technology, 2014
  • A novel methodology for securing ad hoc network by friendly group model
    Md. Amir Khusru Akhtar, G. Sahoo
    Lecture Notes in Electrical Engineering, 2013
  • Behavior based high performance protocol for MANET
    Indian Journal of Science and Technology, 2013
  • Characterization and modeling of uncertainty intended for a secured MANET
    International Journal of Engineering and Technology, 2013

RECENT SCHOLAR PUBLICATIONS

  • A Preliminary Framework for Closure Complexity in Algebraic Extension
    MAK Akhtar
    Available at SSRN 6734724 , 2026
    2026
  • A Log-Fractal Spectral Reformulation of the Prime Error Term and a Cancellation Criterion Equivalent to the Riemann Hypothesis
    MAK Akhtar
    Available at SSRN 6695378 , 2026
    2026
  • Evolution Is Not Impossible-A Mathematical and Biological Demonstration
    MAK Akhtar
    Available at SSRN 6476519 , 2026
    2026
  • Adaptive Fusion Optimization (AFO): A Hyper-Adaptive Metaheuristic with Learning-Driven Control for Global Minimization
    M Prasad, MAK Akhtar
    SAP Gamification and Augmented Reality 4, 276-276 , 2026
    2026
  • Comprehensive Evaluation & Improvement of HEMO Routing for Green Smart-City Transport
    A Prakash, MAK Akhtar
    SAP Gamification and Augmented Reality 3, 266-266 , 2025
    2025
  • Eco-Friendly Vehicle Routing: Extending the Solomon Dataset for CO2, Energy, Noise, and Distance in Smart Cities
    A Prakash, MAK Akhtar
    Proceedings of the International Conference on Recent Advances in Artificial … , 2025
    2025
  • Advancements and Challenges in Multi-Objective Metaheuristic Optimization for Complex Systems
    R Kumari, MAK Akhtar
    Proceedings of the International Conference on Recent Advances in Artificial … , 2025
    2025
  • A Review of Hybrid Optimization Approaches for Eco-Friendly Vehicle Routing in Smart Cities
    A Prakash, MAK Akhtar
    Proceedings of the International Conference on Recent Advances in Artificial … , 2025
    2025
  • Ethical implications of open AI and collaborative development in society 5.0
    S Akhtar, MAK Akhtar, M Kumar
    Open AI and Computational Intelligence for Society 5.0, 249-264 , 2025
    2025
    Citations: 2
  • WITHDRAWN: Frequency Constrained Optimal Power Flow Incorporating UPFC Controller Using Driving Training-Based Optimization
    A Roy, S Dutta, A Bhattacharya, S Biswas, MAK Akhtar, M Kumar, ...
    2024
    Citations: 1
  • Unifying optimization forces: Harnessing the fine-structure constant in an electromagnetic-gravity optimization framework
    MAK Akhtar, M Kumar, S Verma, K Cengiz, PK Verma, RA Khurma, ...
    Journal of Intelligent Systems 33 (1), 20230306 , 2024
    2024
  • Comparative Analysis of RNN Strategies for Image Caption Generation: Evaluating Accuracy and Efficiency Across Feature Extraction Models
    P Kaushik, SD Pravinkumar, V Narasiman, MAK Akhtar, D Maheshwari, ...
    2024 1st International Conference on Advances in Computing, Communication … , 2024
    2024
  • WITHDRAWN: Implementation of UPFC and Renewable Energy Resources using Chaotic African Vulture Optimization Algorithm to Study the sustainablity of power system under …
    B Mondal, S Biswas, A Bhattacharya, S Dutta, RK Chatterjee, MAK Akhtar, ...
    2024
  • Sensor Fusion in Autonomous Vehicle Decision-Making
    P Kaushik, S Mahalakshmi, RK Upadhyay, MAK Akhtar, BS Gopika, S Roy
    2024 4th International Conference on Advancement in Electronics … , 2024
    2024
  • Transparency and accountability in explainable AI: Best practices
    MAK Akhtar, M Kumar, A Nayyar
    Towards ethical and socially responsible explainable ai: Challenges and … , 2024
    2024
    Citations: 41
  • Ensuring Fairness and Non-discrimination in Explainable AI
    MAK Akhtar, M Kumar, A Nayyar
    Towards Ethical and Socially Responsible Explainable AI: Challenges and … , 2024
    2024
    Citations: 9
  • Privacy and security considerations in explainable AI
    MAK Akhtar, M Kumar, A Nayyar
    Towards ethical and socially responsible explainable AI: Challenges and … , 2024
    2024
    Citations: 18
  • The role of human-centered design in developing explainable AI
    MAK Akhtar, M Kumar, A Nayyar
    Towards Ethical and Socially Responsible Explainable AI: Challenges and … , 2024
    2024
    Citations: 12
  • Conclusion and Future Directions for Ethical and Socially Responsible Explainable AI
    MAK Akhtar, M Kumar, A Nayyar
    Towards Ethical and Socially Responsible Explainable AI: Challenges and … , 2024
    2024
  • Socially responsible applications of explainable AI
    MAK Akhtar, M Kumar, A Nayyar
    Towards Ethical and Socially Responsible Explainable AI: Challenges and … , 2024
    2024
    Citations: 47

MOST CITED SCHOLAR PUBLICATIONS

  • Resume Screening Using Natural Language Processing and Machine Learning: A Systematic Review
    AK Sinha, MAK Akhtar, A Kumar
    Machine Learning and Information Processing: Proceedings of ICMLIP 2020, 207 , 2021
    2021.0
    Citations: 63
  • Socially responsible applications of explainable AI
    MAK Akhtar, M Kumar, A Nayyar
    Towards Ethical and Socially Responsible Explainable AI: Challenges and … , 2024
    2024.0
    Citations: 47
  • Transparency and accountability in explainable AI: Best practices
    MAK Akhtar, M Kumar, A Nayyar
    Towards ethical and socially responsible explainable ai: Challenges and … , 2024
    2024.0
    Citations: 41
  • A Modified GA-Based Load Balanced Clustering Algorithm for WSN: MGALBC
    M Kumar, D Kumar, MAK Akhtar
    International Journal of Embedded and Real-Time Communication Systems … , 2021
    2021.0
    Citations: 30
  • Mathematical Model for the Detection of Selfish Nodes in MANETs
    MAK Akhtar, G Sahoo
    International Journal of Computer Science and Informatics (IJCSI) ISSN … , 0
    Citations: 28
  • Classification of selfish and regular nodes based on reputation values in MANET using adaptive decision boundary
    AK Akhtar, G Sahoo
    Communications and Network 5 (3), 185 , 2013
    2013.0
    Citations: 22
  • FNN for diabetic prediction using oppositional whale optimization algorithm
    R Chatterjee, MAK Akhtar, DK Pradhan, F Chakraborty, M Kumar, ...
    IEEE Access 12, 20396-20408 , 2024
    2024.0
    Citations: 20
  • Towards Ethical and Socially Responsible Explainable AI
    MAK Akhtar, M Kumar
    Springer , 2024
    2024.0
    Citations: 20
  • Privacy and security considerations in explainable AI
    MAK Akhtar, M Kumar, A Nayyar
    Towards ethical and socially responsible explainable AI: Challenges and … , 2024
    2024.0
    Citations: 18
  • Smart city vehicle accident monitoring and detection system using (MEMS, GSM, GPS) Raspberry Pi 4
    A Kumar, MAK Akhtar, A Pandey, RP Srivastava
    IETE Journal of Research 69 (11), 8121-8129 , 2023
    2023.0
    Citations: 16
  • Design of internet of things system based smart city model on Raspberry Pi
    A Kumar, MAK Akhtar, A Pandey
    IETE Journal of Research 69 (12), 8781-8788 , 2023
    2023.0
    Citations: 13
  • The role of human-centered design in developing explainable AI
    MAK Akhtar, M Kumar, A Nayyar
    Towards Ethical and Socially Responsible Explainable AI: Challenges and … , 2024
    2024.0
    Citations: 12
  • Enhancing cooperation in MANET using neighborhood compressive sensing model
    MAK Akhtar, G Sahoo
    Egyptian Informatics Journal 22 (3), 373-387 , 2021
    2021.0
    Citations: 12
  • A NSGA-II Based Energy Efficient Routing Algorithm for Wireless Sensor Networks.
    M Kumar, S Mittal, MAK Akhtar
    J. Inf. Sci. Eng. 36 (4), 777-794 , 2020
    2020.0
    Citations: 12
  • Mathematical model for sink mobility (MMSM) in wireless sensor networks to improve network lifetime
    M Kumar, D Kumar, MAK Akhtar
    International Conference on Communication, Networks and Computing, 133-141 , 2018
    2018.0
    Citations: 12
  • A novel methodology for securing ad hoc network by friendly group model
    MAK Akhtar, G Sahoo
    Computer Networks & Communications (NetCom) 131, 23-35 , 2013
    2013.0
    Citations: 12
  • Automated resume parsing and job domain prediction using machine learning
    AK Sinha, MAK Akhtar, M Kumar
    Indian Journal of Science and Technology 16 (26), 1967-1974 , 2023
    2023.0
    Citations: 11
  • Ensuring Fairness and Non-discrimination in Explainable AI
    MAK Akhtar, M Kumar, A Nayyar
    Towards Ethical and Socially Responsible Explainable AI: Challenges and … , 2024
    2024.0
    Citations: 9
  • Enhancing cooperation in MANET using the Backbone Group model (An application of Maximum Coverage Problem)
    MAK Akhtar, G Sahoo
    Procedia Computer Science 46, 1022-1031 , 2015
    2015.0
    Citations: 7
  • Energy efficient clustering and routing algorithm for WSN
    M Kumar, S Mittal, AK Akhtar
    Recent Advances in Computer Science and Communications (Formerly: Recent … , 2021
    2021.0
    Citations: 6