ABDUL RAHIM

@mallareddyecw.com

Associate Professor, Department of Electronics and Communication Engineering
Malla Reddy Engineering College for Women

ABDUL RAHIM


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https://researchid.co/rahim.py3

EDUCATION

Phd In Wireless Communications
M.Tech in ECE
B.E in ECE
Diploma in ECE

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Computer Science
17

Scopus Publications

331

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Efficient Use of Renewable Solar Energy Resource for Electric Vehicles: Opportunities and Challenges
    Abdul Rahim, Shikha Agarwal, Gunjan Gupta, Rajesh Singh, Praveen Kumar Malik
    Engineering Reports, 2025
    This research delves into innovative solutions for integrating renewable solar energy into electric vehicle (EV) systems to mitigate limitations associated with battery storage and charging infrastructure. By leveraging advanced technologies, such as phase change materials for efficient thermal management, microgrid‐based charging systems for decentralized energy distribution, and cutting‐edge materials like aerogel composites and polymer solar cells for enhanced energy harvesting, this study addresses critical challenges in sustainable transportation. Through a holistic approach that combines energy efficiency, advanced material science, and renewable energy integration, the research provides actionable insights to enhance EV performance, extend battery life, and reduce greenhouse gas emissions. The findings hold significant implications for improving energy autonomy, enabling sustainable mobility solutions, and fostering environmental conservation in the transportation sector.
  • Firefighting Robot Using Arduino and Sensor-Based Detection
    Navjot Kaur, Someet Singh, Aarti Chaudhary, Anurag Sharma, Abdul Rahim, Praveen Kumar Malik
    2025 International Conference on Emerging Technologies and Innovation for Sustainability Emergin 2025, 2025
    During fire detection, the robot activates the water pump which results in extinguishing fire through targeted spraying to conserve water. From the experiments conducted, the robot achieved an accuracy of fire detection of 89% and a fire extinguishing success rate of 85% within an average response time of 1.2 seconds. Because of the reasonable cost of the robot and its reliable performance, it can be used indoors in places like laboratories, server rooms, and homes. Further development IoT integration for remote controlling and better navigation around obstacles can be done. This project showcases how microcontroller-based systems can serve as the foundation for practical solutions in fire safety.
  • SmartTrack: Online RFID Card Attendance System using Ardiuno UNO
    Amit Kumar Singh, Ashish Singh Chauhan, Anshul Mahajan, Abdul Rahim, Srinivas Aluvala, Praveen Kumar Malik
    2025 International Conference on Intelligent and Secure Engineering Solutions Cises 2025, 2025
    In today’s fast-paced environment, the demand for efficient, automated, and reliable attendance systems is growing rapidly in both educational and corporate settings. This paper explores the design and implementation of an affordable, RFID- based smart attendance system utilizing the Arduino Uno micro- controller, an SD card module for local data storage, and an ESP32 Wi-Fi module to upload attendance records to a cloud-based IoT platform. RFID tags, assigned to users, allow for contactless and secure identification, significantly reducing errors, preventing fraudulent activities (such as proxy attendance), and lessening the manual workload. The system’s performance is assessed based on scanning success rates, response times, and data synchronization. Various data visualization methods, including histograms, box plots, and heat maps, are employed to analyze attendance patterns. This research showcases a scalable and cost-effective solution that is ideal for educational institutions, small businesses, and large-scale operations, offering real-time data access and efficient attendance management at a fraction of traditional costs.
  • Unmasking Fake Profiles on Social Media with Machine Learning and NLP
    Abdul Rahim, Praveen Kumar Malik, N.L. Aravinda, Anshul Mahajan, Gotte Ranjith Kumar, Ashish Singh Chauhan
    2025 5th International Conference on Advancement in Electronics and Communication Engineering Aece 2025, 2025
    In the present day, the usage of social media has become common among many individuals. Several people create and update their profiles to interact with others on social media platforms. Users who develop profiles accept the terms and conditions specified by social network sites. Many network sites are inaccurate in establishing user security threats, sometimes leading to cyber threats. To estimate platforms supporting threats in social networks, first, the users’ social network profiles are to be classified. From classification, the segregation of original and fake profiles is easy as several classification methods are available in the market for detecting counterfeit profiles, but accuracy matters. Enhancement in the accuracy rate in detecting fake profiles should be done. In this paper, we discuss how accuracy can be improved by using machine learning and natural language processing techniques with the help of specific algorithms like support vector machines and Naive Bayes to detect fake profiles.
  • IoT and Cloud-Based Automated Saline Fluid Control System for Intravenous Therapy
    Abdul Rahim, Praveen Kumar Malik, Veena Bharti, Someet Singh, Ashish Singh Chauhan, Nagendar Yamsani
    Proceedings of 6th International Conference on 2025 Devices for Integrated Circuit Devic 2025, 2025
    Intravenous (IV) therapy is a vital medical procedure for managing fluid levels and delivering medications directly into the bloodstream. However, traditional IV systems rely heavily on continuous manual monitoring, leading to inefficiencies and a higher risk of human error, particularly in resource-limited healthcare settings. This paper presents an innovative IoT-enabled automated saline fluid control system aimed at improving patient care and reducing the workload on medical staff. The system integrates advanced sensors, a NodeMCU microcontroller, and cloud-based data storage via ThingSpeak to enable real-time monitoring and precise control of saline levels. A servo motor is used to automatically stop the saline flow when critical thresholds are reached, preventing complications such as reverse blood flow and air embolisms. By combining automation, remote monitoring, and data-driven analytics, this solution enhances the safety and efficiency of IV therapy. It minimizes the need for human intervention, offers valuable insights to healthcare providers, and provides a cost-effective, scalable alternative for hospitals and clinics globally.
  • AI-Driven Hybrid Deep Learning Model for Snake Classification and Venom Identification Using Convolutional Neural Networks
    Mohammed Ali Shaik, Abdul Rahim, Mohammad Nasreen, Shweta Sharma, Seema Ahmed, Masrath Parveen
    2025 2nd Asia Pacific Conference on Innovation in Technology Apcit 2025, 2025
    Snake bites pose a serious threat to human life mainly in the rural and wooded areas where access to quality health care could be limited. It is crucial in deciding on whether the snake involved is venomous or nonvenomous to increase the chances of treatment options that are appropriate for the snake bite. However, conventional identification methods involve the use of some expertise, which may not always be feasible. This paper aims at developing AI-based image classification framework that uses deep learning algorithms to accurately classify snakes by their images that are taken as input. The model utilized in the current research is a combination of a range of CNN such as ResNet, MobileNet and Inception, VGG-16 in an effort to enhance the classification accuracy. The model is developed on a realistic dataset of snake images and the proposed features as well as techniques of feature fusion are used to increase model’s credibility and interactivity.
  • Exploring Time Series Techniques in Production Function Modeling: ARIMA and VECM Applications
    Mohammed Ali Shaik, Abdul Rahim, V Subhalakshmi, Dr R Ravi Kumar, Raghunadh Pasunuri, Dhanraj Verma
    Proceedings of the International Conference on Intelligent Computing and Control Systems Iciccs 2025, 2025
    This paper uses both used ARIMA and VECM models to analyze the production function to determine the interactions between GDP, capital and labor inputs in this analysis. The paper explores short-term dynamics as well as equilibrium behavior of these variables using annual data for the period 1984–2023. The coefficients estimated by the ARIMA (2,0,0) model indicate that current GDP depends on its past levels, and both capital and labor, although they have positive signs, are statistically insignificant. Moreover, Johsen cointegration estimates unfold one co-integrating vector; VECM result also confirms the positive association between capital and GDP but an unexpected negative relation with labor. The above study’s findings reaffirm the status of capital accumulation as a foundation for developing states’ growth policy priorities; the results of labor analysis are inconclusive and may indicate issues such as difficulty in measuring labor or the possibility of structural changes. The policy implications are for the continuous long term orientations, reform of the labor market, improving human capital, and expanding economic diversification. The paper recognizes certain limitations in the type of data and model used and recommends that future research consider non linearities, technological progress to transfer technological improvement to the production function as well as examining sectoral differences for a better understanding of growth paths in fast growing economies.
  • Performance Analysis of Different Substrates Used in Next Generation Antenna
    Praveen Kumar Malik, Shelej Khera, Puneet Chandra Srivastava, Abdul Rahim, Srinivas Aluvala, Gopal Krishna
    2025 5th International Conference on Advancement in Electronics and Communication Engineering Aece 2025, 2025
    Telecommunication technologies, which are used for the $5^{\text {th }}$ generation are faster mobile experience for the streaming of the online games and movies. 5 G creates a new type of network that can be used to connect everything to everyone over the network and makes communication easier. 5G technology provides Gbps data communication with very low latency, a more reliable network with efficient communication to massive numbers of users. It permits the ubiquitous linking of equipment ranging from automobiles to remote robots. $\mathbf{5 G}$ technology is a high-speed technology for the future of wireless communication. 5 G provides a major advantage in healthcare, manufacturing, education, and other social areas. 5 G implementation for various applications needs many antenna packages for indoor and outdoor communication.
  • Military Vehicle Object Detection Based on Feature Representation and Refined Localization Using Inception Recurrent Convolutional Neural Network
    Muntather Almusawi, S G Shivaprasad Yadav, Abdul Rahim, Srinivas Aluvala, Ramachandra A C
    International Conference on Distributed Computing and Optimization Techniques Icdcot 2024, 2024
    Advanced reconnaissance technologies for military vehicle components form basis for weapons and equipment reconnaissance and tracking operations in complex environments, which is crucial to allow intelligent warfare using information. Addressing limitations of conventional detection algorithms in this domain, a novel approach termed as Military Vehicle Object Detection Method based on Inception Recurrent Convolutional Neural Network (MVODM-IRCNN) and Hierarchical Feature Representation is proposed for detecting military vehicle object. first is a comprehensive data set specially designed for military vehicles. Then it is two system improvements: hierarchical feature representation and state-of-the-art localization, using Inception Recurrent Convolutional Neural Network (IRCNN), aimed at improving detection performance. Hierarchical feature representation techniques make it easier to find good feature representation levels for different object shapes, improving accuracy of these techniques boxes. combination of materials provides a significant gain in detector performance. Finally, an exploratory study conducted on own dataset shows that MVODM-IRCNN has exceptional recognition capabilities, which proves its usefulness in military vehicle recognition applications.
  • Dual-Model Approach for Lung Disease Classification using Convolutional Neural Networks and Support Vector Machines
    Mohammed Ali Shaik, Afshan Fatima, Masrath Parveen, A Soumya Rani, Akheel Mohammad, Abdul Rahim
    2nd IEEE International Conference on Integrated Intelligence and Communication Systems Iciics 2024, 2024
    This paper proposes a solution of integrating the use of Support Vector Machine (SVM) and Convolutional Neural Networks (CNNs) for categorizing lung conditions of people with and without lung disease. The proposed model has achieved a high F1-Score of 97.4 %, a high Precision of 93.17% and high Recall of 93. 63 for the Healthy class. The F1 Scores of this study for the Infected Lung class were as follows: the accuracy of F1 Score was 97.4%; Precision was 94.12%; and Recall was 92.06%. The combining of SVM and CNN model was quite accurate with the accuracy of 97% and the model was accurate in multiple domains of assessment. These results suggest that the application of CNNs and SVMs to the task of medical image analysis constitutes a promising and accurate approach for diagnosing lung diseases.
  • Exploring the concept of multi-modality using grounding dino with evaluation of its performance in the context of different types and complexity of input text prompts
    Abdul Rahim, Amanjot Singh, Ankur Sharma, Rachit Garg, Ch. Ravisankar, Nagendar Yamsani
    2024 International Conference on Smart Devices Icsd 2024, 2024
  • Measurement of Tilting Status of Electric Pole Using Internet of Things
    Abdul Rahim, Ankur Sharma, Gaurav Sethi, Azad Kumar, G Sunil, Muntather Almusawi
    2024 International Conference on Smart Devices Icsd 2024, 2024
  • Smart Autonomous Breaking System for Vehicles to Improve Road Safety in India
    Praveen Kumar Malik, Abdul Rahim, Dac-Nhuong Le
    Lecture Notes in Networks and Systems, 2023
  • Fractal geometry-based chakra-shaped microstrip patch antenna array for vehicular communications under 5G environments
    Abdul Rahim, Praveen Kumar Malik, Rajesh Singh
    Journal of Information and Telecommunication, 2022
  • Analysis and design of fractal antenna for efficient communication network in vehicular model
    Abdul Rahim, Praveen Kumar Malik
    Sustainable Computing Informatics and Systems, 2021
  • State of the Art: A Review on Vehicular Communications, Impact of 5G, Fractal Antennas for Future Communication
    Abdul Rahim, Praveen Kumar Malik, V. A. Sankar Ponnapalli
    Lecture Notes in Networks and Systems, 2020
  • Fractal antenna design for various multiband applications
    K Abdul Rahim, , K. Raghavendra, and
    International Journal of Engineering and Advanced Technology, 2019

RECENT SCHOLAR PUBLICATIONS

  • Firefighting Robot Using Arduino and Sensor-Based Detection
    N Kaur, S Singh, A Chaudhary, A Sharma, A Rahim, PK Malik
    2025 International Conference on Emerging Technologies and Innovation for … , 2026
    2026
  • A Comprehensive Study on Deep Learning Approaches for Time Series Forecasting: Techniques, Challenges, and Applications in Predictive Analytics
    MA Shaik, A Rahim, RR Kumar
    2025 10th International Conference on Research in Intelligent Computing in … , 2026
    2026
  • AI-Driven Hybrid Deep Learning Model for Snake Classification and Venom Identification Using Convolutional Neural Networks
    MA Shaik, A Rahim, M Nasreen, S Sharma, S Ahmed, M Parveen
    2025 2nd Asia Pacific Conference on Innovation in Technology (APCIT) 1 (1), 1-6 , 2026
    2026
  • Advancements in Wearable Biomedical Sensors for Continuous Health Tracking using Machine Learning Algorithm
    PM Someet Singh , Shelej Khera, Nilofer S K , Abdul Rahim , Rakesh Kolluri
    International Conference on Multidisciplinary Perspectives in Advanced … , 2026
    2026
  • Performance Analysis of Different Substrates Used in Next Generation Antenna
    PK Malik, S Khera, PC Srivastava, A Rahim, S Aluvala, G Krishna
    2025 5th International Conference on Advancement in Electronics … , 2026
    2026
  • Unmasking Fake Profiles on Social Media with Machine Learning and NLP
    A Rahim, PK Malik, NL Aravinda, A Mahajan, GR Kumar, AS Chauhan
    2025 5th International Conference on Advancement in Electronics … , 2026
    2026
  • SmartTrack: Online RFID Card Attendance System using Ardiuno UNO
    AK Singh, AS Chauhan, A Mahajan, A Rahim, S Aluvala, PK Malik
    2025 International Conference on Intelligent and Secure Engineering … , 2025
    2025
  • Efficient Use of Renewable Solar Energy Resource for Electric Vehicles: Opportunities and Challenges
    PKM Abdul Rahim, Shikha Agarwal, Gunjan Gupta, Rajesh Singh
    Engineering Reports 7 (2), 1-18 , 2025
    2025
    Citations: 5
  • Dual-Model Approach for Lung Disease Classification Using Convolutional Neural Networks and Support Vector Machines
    MA Shaik, A Fatima, M Parveen, AS Rani, A Mohammad, A Rahim
    2024 International Conference on Integrated Intelligence and Communication … , 2025
    2025
    Citations: 10
  • Exploring Time Series Techniques in Production Function Modeling: ARIMA and VECM Applications
    MA Shaik, A Rahim, V Subhalakshmi, DRR Kumar, R Pasunuri, D Verma
    2025 International Conference on Intelligent Computing and Control Systems … , 2025
    2025
    Citations: 7
  • IoT and Cloud-Based Automated Saline Fluid Control System for Intravenous Therapy
    A Rahim, PK Malik, V Bharti, S Singh, AS Chauhan, N Yamsani
    2025 Devices for Integrated Circuit (DevIC), 218-224 , 2025
    2025
    Citations: 2
  • Exploring the concept of multi-modality using grounding dino with evaluation of its performance in the context of different types and complexity of input text prompts
    A Rahim, A Singh, A Sharma, R Garg, C Ravisankar, N Yamsani
    2023 International Conference on Smart Devices (ICSD) , 2024
    2024
    Citations: 9
  • Measurement of Tilting Status of Electric Pole Using Internet of Things
    A Rahim, A Sharma, G Sethi, A Kumar, G Sunil, M Almusawi
    2023 International Conference on Smart Devices (ICSD) , 2024
    2024
    Citations: 10
  • Military Vehicle Object Detection Based on Feature Representation and Refined Localization Using Inception Recurrent Convolutional Neural Network
    M Almusawi, SGS Yadav, A Rahim, S Aluvala, R A C
    2024 International Conference on Distributed Computing and Optimization … , 2024
    2024
    Citations: 3
  • Smart Autonomous Breaking System for Vehicles to Improve Road Safety in India
    P Malik, A Rahim, DN le
    Micro-Electronics and Telecommunication Engineering 617, 637-643 , 2023
    2023
    Citations: 1
  • AN IMPROVED SPEAKER VERIFICATION SYSTEM FOR ROBOTIC APPLICATIONS
    A Rahim, K Shravya, KRL Prasanna, K Kavya, K Varsha
    Turkish Journal of Computer and Mathematics Education 14 (3), 225-234 , 2023
    2023
  • Fractal geometry-based chakra-shaped microstrip patch antenna array for vehicular communications under 5G environments
    A Rahim, PK Malik, R Singh
    Journal of Information and Telecommunication 6 (4), 485-500 , 2022
    2022
    Citations: 7
  • DESIGN OF WIRELESS SENSOR NETWORK NODE FOR MONITORING FIELD
    A Rahim, P Charitha, MR Anusha, NR Sowmya
    The International journal of analytical and experimental modal analysis 14 … , 2022
    2022
  • Ultra-wide band microstrip patch with dual U-resonating slot and T-shape design for vehicular communication applications.
    A Rahim, DPK Malik
    Mukt Shabd Journal 11 (1), 91-100 , 2022
    2022
  • Analysis and design of fractal antenna for efficient communication network in vehicular model
    A Rahim, PK Malik
    Sustainable Computing: Informatics and Systems 31, 100586 , 2021
    2021
    Citations: 48

MOST CITED SCHOLAR PUBLICATIONS

  • Multi-response optimization of post-fire residual compressive strength of high performance concrete
    A Rahim, UK Sharma, K Murugesan, A Sharma, P Arora
    Construction and Building Materials 38, 265-273 , 2013
    2013
    Citations: 78
  • Analysis and design of fractal antenna for efficient communication network in vehicular model
    A Rahim, PK Malik
    Sustainable Computing: Informatics and Systems 31, 100586 , 2021
    2021
    Citations: 48
  • State of the art: a review on vehicular communications, impact of 5G, fractal antennas for future communication
    A Rahim, PK Malik, VA Sankar Ponnapalli
    Proceedings of First International Conference on Computing, Communications … , 2020
    2020
    Citations: 34
  • Fractal Antenna Design for Overtaking on Highways in 5G Vehicular Communication Ad-hoc Networks Environment
    A Rahim, DPK Malik, VAS Dr.Ponnapalli
    International Journal of Engineering and Advanced Technology (IJEAT) 9 (IS6 … , 2019
    2019
    Citations: 32
  • Placebo controlled trial of methotrexate in systemic sclerosis.
    SN Das, MR Alam, N Islam, MH Rahman, SR Sutradhar, S Rahman, ...
    Mymensingh medical journal: MMJ 14 (1), 71-74 , 2005
    2005
    Citations: 20
  • Reconfigurable notched wideband antenna using EBG structure
    HA Majid, M Kamal, A Rahim, MR Hamid, NA Murad, ...
    Microwave and Optical Technology Letters 57 (2), 497-501 , 2015
    2015
    Citations: 12
  • Effect of load on thermal spalling of reinforced concrete containing various mineral admixtures
    A Rahim, UK Sharma, K Murugesan, P Arora
    MATEC Web of Conferences 6, 01006 , 2013
    2013
    Citations: 11
  • Dual-Model Approach for Lung Disease Classification Using Convolutional Neural Networks and Support Vector Machines
    MA Shaik, A Fatima, M Parveen, AS Rani, A Mohammad, A Rahim
    2024 International Conference on Integrated Intelligence and Communication … , 2025
    2025
    Citations: 10
  • Measurement of Tilting Status of Electric Pole Using Internet of Things
    A Rahim, A Sharma, G Sethi, A Kumar, G Sunil, M Almusawi
    2023 International Conference on Smart Devices (ICSD) , 2024
    2024
    Citations: 10
  • Exploring the concept of multi-modality using grounding dino with evaluation of its performance in the context of different types and complexity of input text prompts
    A Rahim, A Singh, A Sharma, R Garg, C Ravisankar, N Yamsani
    2023 International Conference on Smart Devices (ICSD) , 2024
    2024
    Citations: 9
  • Clinical and radiological study of serum fluoride in relation to knee osteoarthritis
    VK Singh, KS Rathore, G Khan, A Rahim, A Rashid, S Chauhan
    Malaysian Orthopaedic Journal 14 (3), 151 , 2020
    2020
    Citations: 9
  • Fractal Antenna Design for Various Multiband Applications
    A Rahim
    International Journal of Engineering and Advanced Technology (IJEAT) 8 (6S3 … , 2019
    2019
    Citations: 9
  • Optimization of Post-Fire Residual Compressive Strenghth of Concrete by Taguchi Method
    A Rahim, U Sharma, K Murugesan, A Sharma, P Arora
    Journal of Structural Fire Engineering 3 (2), 169-180 , 2012
    2012
    Citations: 9
  • Design and Analysis of Multi Band Fractal Antenna for 5G Vehicular Communication
    A Rahim, PK Malik, VAS Ponnapalli
    Test Engineering and Management 83 (March-April 2020), 26487 - 26497 , 2020
    2020
    Citations: 8
  • Exploring Time Series Techniques in Production Function Modeling: ARIMA and VECM Applications
    MA Shaik, A Rahim, V Subhalakshmi, DRR Kumar, R Pasunuri, D Verma
    2025 International Conference on Intelligent Computing and Control Systems … , 2025
    2025
    Citations: 7
  • Fractal geometry-based chakra-shaped microstrip patch antenna array for vehicular communications under 5G environments
    A Rahim, PK Malik, R Singh
    Journal of Information and Telecommunication 6 (4), 485-500 , 2022
    2022
    Citations: 7
  • Efficient Use of Renewable Solar Energy Resource for Electric Vehicles: Opportunities and Challenges
    PKM Abdul Rahim, Shikha Agarwal, Gunjan Gupta, Rajesh Singh
    Engineering Reports 7 (2), 1-18 , 2025
    2025
    Citations: 5
  • Military Vehicle Object Detection Based on Feature Representation and Refined Localization Using Inception Recurrent Convolutional Neural Network
    M Almusawi, SGS Yadav, A Rahim, S Aluvala, R A C
    2024 International Conference on Distributed Computing and Optimization … , 2024
    2024
    Citations: 3
  • Plantar fasciitis: Outcome evaluation of plantar fasciitis treated with PRP against steroid injection.
    A Rahim, M Tiwari
    International Archives of Integrated Medicine 2 (2) , 2015
    2015
    Citations: 3
  • IoT and Cloud-Based Automated Saline Fluid Control System for Intravenous Therapy
    A Rahim, PK Malik, V Bharti, S Singh, AS Chauhan, N Yamsani
    2025 Devices for Integrated Circuit (DevIC), 218-224 , 2025
    2025
    Citations: 2