CHILUKALA MAHENDER REDDY

@aurora.edu.in

Associate Professor, Computer Science and Engineering
Aurora Higher Education and Research Academy Deemed to be University

CHILUKALA MAHENDER REDDY


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https://researchid.co/mahender700

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering
14

Scopus Publications

164

Scholar Citations

5

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • A Hybrid Machine Learning Model for Risk Stratification and Functional Outcome Prediction in Stroke Survivors
    R. Sunder, Bura Vijay Kumar, B. Kamala, Chilukala Mahender Reddy, S. Bathrinath
    Machine Learning in Healthcare Data Driven Decisions Predictive Modelling Personalized Medicine, 2026
  • Histopathology Image-Based Breast Cancer Classification Using Transfer Learning Techniques
    Priyanka Kaushik, Chilukala Mahender Reddy, Sundaram Arun, Saurabh Pratap Singh Rathore, Nishu Gautam, Aryan Mekde
    2025 5th International Conference on Advancement in Electronics and Communication Engineering Aece 2025, 2025
    Breast cancer stays one of the most common health demanding situations global, and early and correct detection is crucial for improving patient consequences and survival costs. current advancements in deep mastering (DL) have proven substantial capability, especially in the analysis of clinical pix, specifically in histopathological photograph category. This have a look at evaluates the effectiveness of transfer getting to know- primarily based deep learning fashions, consisting of Incep- tionNet, ResNet, and EfficientNet, for classifying breast most cancers from histopathology images. The ICIAR2018-project BACH dataset, which includes publicly to be had breast cancer histology images, is used to educate and examine those models, providing a standardized benchmark for overall performance assessment. The accuracy of each version is analyzed to deter- mine its suitability for scientific decision assist structures. The experimental results imply that EfficientNet plays best some of the 3 architectures, reaching an accuracy of $\mathbf{8 9. 2 \%}$, which surpasses both InceptionNet and ResNet. those findings show the ability of EfficientNet as a dependable model for breast cancer histopathology picture category, contributing to improved diagnostic aid in medical practice.
  • Elevating Travel: A Complete Analysis of Airport Automation and Its Effect on Passenger Experience
    N. S. R. Phanindra Kumar, Chilukala Mahender Reddy, Pinnamaraju Veeresh Kumar, P. K. Gupta, Rachit Arora, Rohit Patel
    2025 5th International Conference on Advancement in Electronics and Communication Engineering Aece 2025, 2025
    Digitization and automation of airports represent the necessary element in the context of the challenges the travel industry is currently experiencing. The travel business is incredibly adaptable despite the recent disappointments as evident in the current digital revolution. This is driven by the fact that the reduced waiting time and improved identity verification processes will lead to the overall experience of the traveler being significantly enhanced. This research specifically centers on how the systems controlling the identity of travelers should be coordinated, and it is in this regard that the government border agencies, the airlines, and the airports must work in harmony. To achieve a truly frictionless passenger experience, it is necessary to integrate a number of touchpoints, including check-in, and boarding. The aims of this automation investment include the maximization of the allocation of resources, the overall experience of the customers, and quicker passengers flow.
  • An Intelligent Hybrid Intrusion Detection and Prevention System for Threat Mitigation in High Bandwidth 5G/6G Network
    Kalyani Mavale, Anup Ingle, Ketki P. Kshirsagar, Chilukala Mahender Reddy, Pranoti D Honawadajkar, Vijay M. Marathe
    Proceedings of 3rd International Conference on Sustainable Computing and Data Communication Systems Icscds 2025, 2025
    Fifth Generation (5G) and the impending Sixth Generation (6G) wireless communications revolutionize modern wireless communication with their record-breaking data speeds, low latency, and wide-ranging device connections. Standard Intrusion Detection and Prevention Systems are ineffective in toxic security situations, which are brought on by current developments. In addition to anomaly-detection and signature-matching systems, this presents a new IDS and IPS system that leverages deep learning artificial intelligence to maximize high-speed network protection. The suggested approach is built on Software-Defined Networking, which enables dynamic security policy enforcement and quick threat responses. According to evaluation criteria of processing speed and detection accuracy with low false positive occurrence rates, the integrated solution performs optimally for securing next-generation mobile networks.
  • Diverse Geographical Regions Based Biodiversity Conservation by LiDAR Image with Deep Learning Model
    Gireesh Babu C. N., Chilukala Mahender Reddy, Mungara Kiran Kumar, Komatigunta Nagaraju, G. Uma Maheswari, Ajmeera Kiran
    Remote Sensing in Earth Systems Sciences, 2024
  • Advancements in Environmental Data Analysis for Climate-Resilient Agriculture Using Remote Sensing and Deep Learning
    Khyati R. Nirmal, Chilukala Mahender Reddy, Jose P., Rajesh Tulasi, G. Uma Maheswari, I. Sapthami
    Remote Sensing in Earth Systems Sciences, 2024
  • Binary Image Classification on Fashion-MNIST Using TensorFlow-Quantum and CIRQ
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • BOA: Optimizing Energy Usage in Cloud-Fog Environment Using Meta-Heuristic Scheduling Algorithm
    Gunda Aishwarya, G. Soma Sekhar, M Shiva Prasad, Rakesh Kumar Donthi, Chilukala Mahender Reddy, Santhosh Kumar Medishetti
    Proceedings IEEE 5th International Conference on Communication Computing and Industry 6 0 2024 C2i6 2024, 2024
    Optimizing energy consumption in Cloud-Fog Computing (CFC) environments is essential for enhancing efficiency and sustainability. In this paper we propose a Meta-Heuristic (MH) scheduling algorithm based on the Butterfly Optimization Algorithm (BOA) to effectively manage resource allocation and Task Scheduling (TS) between CFC. The proposed approach aims to minimize energy consumption, while improving throughput and optimizing resource utilization. Through simulation results, the BOA-based algorithm demonstrates a reduction in energy consumption by 15.6%, an increase in throughput by 18.4%, and an enhancement in resource utilization by 20.8%, compared to existing scheduling algorithms. These improvements make the BOA a promising solution for energy-efficient and performance-enhancing task scheduling in cloud-fog environments, contributing to more sustainable and responsive systems for processing large-scale, distributed workloads.
  • Personalized Walking Speed Prediction: Cloud-Enabled Long Short-Term Memory Networks for Health Monitoring
    Chilukala Mahender Reddy, P. Sudha Juliet, Bathini Ravinder, M. D. Ashfaqul Hasan, N. Ramesh, S. Sujatha
    2024 2nd International Conference on Computer Communication and Control Ic4 2024, 2024
    Cloud-Enabled Long Short-Term Memory (LSTM) Networks for individualized walking speed prediction in health monitoring applications are discussed in the research paper. Walking speed is important for mobility and health assessment. Traditional approaches for forecasting walking speed are frequently generic. It uses Cloud-Enabled LSTM Networks to record individual walking patterns and change predictions using real-time data. The proposed approach uses cloud computing to train and update LSTM models. This allows the model to learn and improve over time, keeping it relevant and accurate for each user. Personalization takes into consideration age, fitness, and health to predict walking speed more accurately. Extensive tests on different datasets show that the proposed strategy outperforms current approaches in accuracy and flexibility. The cloud-enabled system integrates with wearable devices, making it suitable for real-world health monitoring. It provides an effective and scalable strategy for predicting walking pace, an important parameter in measuring and maintaining individual well-being, to develop customized health monitoring systems.
  • Cloud-Based Road Safety for Real-Time Vehicle Rash Driving Alerts with Random Forest Algorithm
    Presitha Aarthi M, Chilukala Mahender Reddy, A. Anbarasi, N. Mohankumar, Ishwarya M.V, S. Murugan
    2024 3rd International Conference for Innovation in Technology Inocon 2024, 2024
    The cloud-based road safety technology introduced in this research improves real-time vehicle behavior monitoring and warns for rash driving. It uses cloud computing to gather and interpret data from onboard car sensors and other traffic monitoring equipment. Powerful machine learning technology the Random Forest (RF) algorithm analyses this data intelligently. The RF algorithm is trained on a varied array of driving metrics to detect rash driving tendencies. Real-time data streams may be processed efficiently and scalable on the cloud, enabling speedy decision-making for rash driving detection. A network sends alerts to authorities and nearby vehicles. The system is adaptable to different road conditions, resistant to sensor data noise, and able to enhance rash driving detection accuracy via model updates. Cloud architecture makes the system available worldwide. With its focus on real-time notifications utilizing the RF algorithm, this cloud-based road safety system may reduce the hazards of reckless driving and avoid accidents.
  • IDLOA: Prioritized Task Scheduling for Optimizing Resource Utilization in Cloud-Fog Environment
    Santhosh Kumar Medishetti, Chilukala Mahender Reddy, T Sasi Vardhan, Rakesh Kumar Donthi, Ganesh Reddy Karri, Kata Vijay Kumar
    Proceedings 2024 13th IEEE International Conference on Communication Systems and Network Technologies Csnt 2024, 2024
  • A Report on Translating Sign Language to English Language
    Mahender Reddy Chilukala, Vishwa Vadalia
    Proceedings of the International Conference on Electronics and Renewable Systems Icears 2022, 2022
  • Translating Sign Language to English Text in Real time using Deep Learning Models
    Mahender Reddy Chilukala, Vishwa Vadalia
    Proceedings of the International Conference on Electronics and Renewable Systems Icears 2022, 2022
  • Emerging paradigm of edge computing in the context of IoT
    BETHALA SHIRISHA, DEGALA DIVYA PRIYA, MAHALAKSHMI ., MAHENDER REDDY CHILUKALA, BETHALA PRAVALLIKA
    International Journal of Engineering and Technology Uae, 2018

RECENT SCHOLAR PUBLICATIONS

  • A Hybrid Machine Learning Model for Risk Stratification and Functional Outcome Prediction in Stroke Survivors
    CM Reddy, S Bathrinath
    Machine Learning in Healthcare: Data-Driven Decisions, Predictive Modelling … , 2025
    2025.0
  • Histopathology Image-Based Breast Cancer Classification Using Transfer Learning Techniques
    P Kaushik, CM Reddy, S Arun, SPS Rathore, N Gautam, A Mekde
    2025 5th International Conference on Advancement in Electronics … , 2025
    2025.0
  • Elevating Travel: A Complete Analysis of Airport Automation and Its Effect on Passenger Experience
    NSRP Kumar, CM Reddy, PV Kumar, PK Gupta, R Arora, R Patel
    2025 5th International Conference on Advancement in Electronics … , 2025
    2025.0
  • An Intelligent Hybrid Intrusion Detection and Prevention System for Threat Mitigation in High Bandwidth 5G/6G Network
    K Mavale, A Ingle, KP Kshirsagar, CM Reddy, PD Honawadajkar, ...
    2025 3rd International Conference on Sustainable Computing and Data … , 2025
    2025.0
    Citations: 4
  • Federated Deep Reinforcement Learning For Privacy-Preserving Sentiment-Driven Stock Market Forecasting
    International Journal of Environmental Sciences 11 , 2025
    2025.0
  • Deep Learning-Based Stock Price Forecasting for Business Management: A Hybrid Approach Using LSTM and Sentiment Analysis
    EKSPLORIUM-BULETIN PUSAT TEKNOLOGI BAHAN GALIAN NUKLIR 46 , 2025
    2025.0
  • BOA: optimizing energy usage in cloud-fog environment using meta-heuristic scheduling algorithm
    G Aishwarya, GS Sekhar, MS Prasad, RK Donthi, CM Reddy, ...
    2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024
    2024.0
    Citations: 58
  • Diverse Geographical Regions Based Biodiversity Conservation by LiDAR Image with Deep Learning Model
    G Babu CN, CM Reddy, MK Kumar, K Nagaraju, GU Maheswari, A Kiran
    Remote Sensing in Earth Systems Sciences 7 (4), 738-749 , 2024
    2024.0
    Citations: 1
  • Advancements in Environmental Data Analysis for Climate-Resilient Agriculture Using Remote Sensing and Deep Learning
    KR Nirmal, CM Reddy, J P, R Tulasi, GU Maheswari, I Sapthami
    Remote Sensing in Earth Systems Sciences 7 (4), 670-680 , 2024
    2024.0
    Citations: 1
  • IDLOA: Prioritized Task Scheduling for Optimizing Resource Utilization in Cloud-Fog Environment
    SK Medishetti, CM Reddy, TS Vardhan, RK Donthi, GR Karri, KV Kumar
    2024 IEEE 13th International Conference on Communication Systems and Network … , 2024
    2024.0
  • Personalized Walking Speed Prediction: Cloud-Enabled Long Short-Term Memory Networks for Health Monitoring
    PS Juliet, B Ravinder, MDA Hasan, N Ramesh, S Sujatha
    2nd International Conference on Computer, Communication and Control (IC4) , 2024
    2024.0
    Citations: 6
  • Cloud-Based Road Safety for Real-Time Vehicle Rash Driving Alerts with Random Forest Algorithm
    CM Reddy, A Anbarasi, N Mohankumar, I MV, S Murugan
    2024 3rd International Conference for Innovation in Technology (INOCON), 1-6 , 2024
    2024.0
    Citations: 79
  • Binary Image Classification on Fashion-MNIST Using TensorFlow-Quantum and CIRQ
    P Kandukuri, DNVS Kumar, VS Srinivas, CM Reddy, KK Singamaneni
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024.0
    Citations: 2
  • A Report on Translating Sign Language to English Language
    MR Chilukala, V Vadalia
    2022 International Conference on Electronics and Renewable Systems (ICEARS … , 2022
    2022.0
    Citations: 6
  • Translating Sign Language to English Text in Real time using Deep Learning Models
    MR Chilukala, V Vadalia
    2022 International Conference on Electronics and Renewable Systems (ICEARS … , 2022
    2022.0
    Citations: 7
  • Emerging Paradigm of Edge Computing in the Context of Iot
    B Shirisha, DD Priya, MRC Mahalakshmi, B Pravallika
    International Journal of Engineering & Technology 7 (3.3), 122-125 , 2018
    2018.0
  • CATMULL-CLARK SUBDIVISION SURFACES EXACT EVALUATION AT ARBITRARY PARAMETER VALUES
    DPK Chilukala Mahender Reddy
    ijcrt 9 (december 2021) , 0
  • POLAR STRUCTURES EXTENDING CATMULL-CLARK SUBDIVISION AND PCCM
    DPK Chilukala Mahender Reddy
    ijcrt 9 (3 March 2021) , 0
  • RAPID ASSESSMENT OF THE SURFACES OF CATMULL-CLARK SUBDIVISIONS
    CMR Dr. Pankaj Kawadkar, Dr. B Sankara Babu
    Mukt Shabd Journal 12 (april-2023) , 0
  • SECURE BYOD ENVIRONMENTS ON REMOTE MOBILE SCREEN (RMS)
    B Manogna, BR Reddy, DS Priya, CHM Reddy

MOST CITED SCHOLAR PUBLICATIONS

  • Cloud-Based Road Safety for Real-Time Vehicle Rash Driving Alerts with Random Forest Algorithm
    CM Reddy, A Anbarasi, N Mohankumar, I MV, S Murugan
    2024 3rd International Conference for Innovation in Technology (INOCON), 1-6 , 2024
    2024.0
    Citations: 79
  • BOA: optimizing energy usage in cloud-fog environment using meta-heuristic scheduling algorithm
    G Aishwarya, GS Sekhar, MS Prasad, RK Donthi, CM Reddy, ...
    2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024
    2024.0
    Citations: 58
  • Translating Sign Language to English Text in Real time using Deep Learning Models
    MR Chilukala, V Vadalia
    2022 International Conference on Electronics and Renewable Systems (ICEARS … , 2022
    2022.0
    Citations: 7
  • Personalized Walking Speed Prediction: Cloud-Enabled Long Short-Term Memory Networks for Health Monitoring
    PS Juliet, B Ravinder, MDA Hasan, N Ramesh, S Sujatha
    2nd International Conference on Computer, Communication and Control (IC4) , 2024
    2024.0
    Citations: 6
  • A Report on Translating Sign Language to English Language
    MR Chilukala, V Vadalia
    2022 International Conference on Electronics and Renewable Systems (ICEARS … , 2022
    2022.0
    Citations: 6
  • An Intelligent Hybrid Intrusion Detection and Prevention System for Threat Mitigation in High Bandwidth 5G/6G Network
    K Mavale, A Ingle, KP Kshirsagar, CM Reddy, PD Honawadajkar, ...
    2025 3rd International Conference on Sustainable Computing and Data … , 2025
    2025.0
    Citations: 4
  • Binary Image Classification on Fashion-MNIST Using TensorFlow-Quantum and CIRQ
    P Kandukuri, DNVS Kumar, VS Srinivas, CM Reddy, KK Singamaneni
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024.0
    Citations: 2
  • Diverse Geographical Regions Based Biodiversity Conservation by LiDAR Image with Deep Learning Model
    G Babu CN, CM Reddy, MK Kumar, K Nagaraju, GU Maheswari, A Kiran
    Remote Sensing in Earth Systems Sciences 7 (4), 738-749 , 2024
    2024.0
    Citations: 1
  • Advancements in Environmental Data Analysis for Climate-Resilient Agriculture Using Remote Sensing and Deep Learning
    KR Nirmal, CM Reddy, J P, R Tulasi, GU Maheswari, I Sapthami
    Remote Sensing in Earth Systems Sciences 7 (4), 670-680 , 2024
    2024.0
    Citations: 1
  • A Hybrid Machine Learning Model for Risk Stratification and Functional Outcome Prediction in Stroke Survivors
    CM Reddy, S Bathrinath
    Machine Learning in Healthcare: Data-Driven Decisions, Predictive Modelling … , 2025
    2025.0
  • Histopathology Image-Based Breast Cancer Classification Using Transfer Learning Techniques
    P Kaushik, CM Reddy, S Arun, SPS Rathore, N Gautam, A Mekde
    2025 5th International Conference on Advancement in Electronics … , 2025
    2025.0
  • Elevating Travel: A Complete Analysis of Airport Automation and Its Effect on Passenger Experience
    NSRP Kumar, CM Reddy, PV Kumar, PK Gupta, R Arora, R Patel
    2025 5th International Conference on Advancement in Electronics … , 2025
    2025.0
  • Federated Deep Reinforcement Learning For Privacy-Preserving Sentiment-Driven Stock Market Forecasting
    International Journal of Environmental Sciences 11 , 2025
    2025.0
  • Deep Learning-Based Stock Price Forecasting for Business Management: A Hybrid Approach Using LSTM and Sentiment Analysis
    EKSPLORIUM-BULETIN PUSAT TEKNOLOGI BAHAN GALIAN NUKLIR 46 , 2025
    2025.0
  • IDLOA: Prioritized Task Scheduling for Optimizing Resource Utilization in Cloud-Fog Environment
    SK Medishetti, CM Reddy, TS Vardhan, RK Donthi, GR Karri, KV Kumar
    2024 IEEE 13th International Conference on Communication Systems and Network … , 2024
    2024.0
  • Emerging Paradigm of Edge Computing in the Context of Iot
    B Shirisha, DD Priya, MRC Mahalakshmi, B Pravallika
    International Journal of Engineering & Technology 7 (3.3), 122-125 , 2018
    2018.0
  • CATMULL-CLARK SUBDIVISION SURFACES EXACT EVALUATION AT ARBITRARY PARAMETER VALUES
    DPK Chilukala Mahender Reddy
    ijcrt 9 (december 2021) , 0
  • POLAR STRUCTURES EXTENDING CATMULL-CLARK SUBDIVISION AND PCCM
    DPK Chilukala Mahender Reddy
    ijcrt 9 (3 March 2021) , 0
  • RAPID ASSESSMENT OF THE SURFACES OF CATMULL-CLARK SUBDIVISIONS
    CMR Dr. Pankaj Kawadkar, Dr. B Sankara Babu
    Mukt Shabd Journal 12 (april-2023) , 0
  • SECURE BYOD ENVIRONMENTS ON REMOTE MOBILE SCREEN (RMS)
    B Manogna, BR Reddy, DS Priya, CHM Reddy