AWARI HARSHAVARDHAN

@vnrvjiet.ac.in

Senior Assistant Professor, Department of CSE (AIML & IoT)
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology

AWARI HARSHAVARDHAN


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https://researchid.co/harshavardhan_awari
Career Profile:
 A highly dedicated, professional, and accomplished Computer Science Lecturer and Researcher with extensive knowledge of teaching and research in Computer Science. To work for an organization that will bring the best of my talent and utilizes my research and teaching skills to the fullest helps me achieve my and the organization's desired goals.
Research Experience:
Total research experience is 12 Years. Did the research on a new framework for brain tumor detection and classification in MRI images. A computer-assisted tool to automate the detection of a tumor area in MRI brain image(s). The automated approach should have the capability of localizing and segmenting the tumor area followed by the classification process, even in the low contrast MRI brain im

EDUCATION

Diploma In CSE
B.Tech in CSE
M.Tech in CSE
Ph.D in CSE

RESEARCH INTERESTS

Image Processing, Machine Learning, and Deep Learning
50

Scopus Publications

1126

Scholar Citations

18

Scholar h-index

28

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Hybrid quantum–classical learning for MRI-based brain tumour diagnosis
    A Harshavardhan, VCS Rao, YM Reddy, SR Polamuri, B Jamalpur, ...
    Discover Computing 29 (1), 269 , 2026
    2026
  • Adaptive Dual-Channel Neural Network with Triangulation Topology Optimization for Kidney Cancer Diagnosis and Surgery Planning Using Clinical Metadata
    A Harshavardhan, RJ Shaikh, KV Nabilal, MG Jayanthi
    Sensing and Imaging 26 (1), 155 , 2025
    2025
  • NEUROEXPLAINAI: AN EXPLAINABLE AI AND STATISTICAL FRAMEWORK FOR BRAIN TUMOR DIAGNOSIS AND SEVERITY PREDICTION USING MULTIMODAL MRI WITH NEUROFUSIONNET
    VH PRASAD, DRT BHASKAR, S LEDALLA, MV RAO, ...
    Journal of Theoretical and Applied Information Technology 103 (17) , 2025
    2025
  • Bayesian Asymmetric Quantized Neural Networks for MRI/Mammography-Based Breast Cancer Identification in PTEN Hamartoma Syndrome
    A Harshavardhan, A Alam, RS Kumar, B Mallala
    Biomedical Materials & Devices, 1-22 , 2025
    2025
  • EEG-Based Alzheimer’s Disease Diagnosis Using Savitzky–Golay Denoising and Discrete Cosine Krawtchouk–Tchebichef Transform Optimized by Pied Kingfisher Algorithm
    A Harshavardhan, V Jeyakrishnan, KP Arunachalam, S Suneetha
    Biomedical Materials & Devices, 1-19 , 2025
    2025
    Citations: 3
  • Unveiling Hidden Messages in an Image Using Cryptography and Steganography
    A Harshavardhan, K Nihal, R Srinidhi, K Poojithasai, GB Prasad, ...
    International Conference on ICT for Sustainable Development, 225-234 , 2025
    2025
  • Multi-Camera Framework for Object Path Tracking and Analysis
    H Awari, S Adepu, D Yadav, RR Katta, SA Chandra
    2025
  • Hybrid deep learning framework for intrusion detection: Integrating cnn, lstm, and attention mechanisms to enhance cybersecurity
    LL Scientific
    Journal of Theoretical and Applied Information Technology 103 (1) , 2025
    2025
    Citations: 11
  • A GAN-based Framework for License Plate Recognition using YOLOv8 and EasyOCR
    P Harshavardhan, A. , Nikhita Kashyap, D. , Aravind, D. , Yashwanth, R ...
    16th International Conference on Advances in Computing, Control, and … , 2025
    2025
  • Web based Multilevel Authentication
    RN Harshavardhan A. Send mail to Harshavardhan A. Kumar, Bellamkonda Akshay ...
    16th International Conference on Advances in Computing, Control, and … , 2025
    2025
  • Crop Disease Detection by Deep Joint Segmentation and Hybrid Classification Model: A CAD‐Based Agriculture Development System
    R Bhukya, S Vuppu, A Harshvardhan, H Bukya, S Salendra
    Journal of Phytopathology 173 (1), e70003 , 2025
    2025
    Citations: 1
  • Deep Learning-Based Classification of Viral Dermatological Infections: Chickenpox, Measles, and Monkeypox
    G Shandilya, N Yamsani, S Gupta, A Harshavardhan
    2024 International Conference on Artificial Intelligence and Quantum … , 2024
    2024
    Citations: 2
  • Enhanced Bone Cancer Detection in MRI Scans via a Hybrid Quantum-Classical Convolutional Neural Network and War Strategy Optimization
    A Harshavardhan, S Sudalaikani, M Saravanakumar, S Saritha, PKV Rao
    2024 4th International Conference on Ubiquitous Computing and Intelligent … , 2024
    2024
    Citations: 2
  • Hybrid Deep Learning-Based Air Pollution Prediction and Index Classification Using an Optimization Algorithm.
    S Kutala, H Awari, S Velu, A Anthonisamy, NJ Bathula, S Inthiyaz
    AIMS Environmental Science 11 (4) , 2024
    2024
    Citations: 6
  • A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson’s Disease Classification
    K Sekaran, A Harshavardhan, N Sandhya, C Sudha, G Nagaraju, ...
    IEEE Access 12, 83140-83153 , 2024
    2024
    Citations: 5
  • Three‐dimensional dental image segmentation and classification using deep learning with tunicate swarm algorithm
    H Awari, N Subramani, A Janagaraj, G Balasubramaniapillai Thanammal, ...
    Expert Systems 41 (6), e13198 , 2024
    2024
    Citations: 26
  • Analysis and Classification of Heart Disease and COVID 19 Using Electrocardiogram and Deep Learning
    T Shilpa, BV Kumar, N Yamsani, A Harshavardhan
    2024 International Conference on Advances in Modern Age Technologies for … , 2024
    2024
    Citations: 1
  • Machine Learning Approaches of Lung Cancer Image Processing for Detecting and Identifying Various Stages of Analysis
    A Harshavardhan, DS Babu, KP Senthilkumar, LM Kaunan, S Sudalaikani, ...
    Journal of Electrical Systems 20 (2s), 768-776 , 2024
    2024
    Citations: 3
  • Optimal Routing in Wireless Sensor Networks for Advancing IoT Efficiency and Sustainability using Enhanced Ant Colony Algorithm with machine learning approaches
    A Harshavardhan, UT Kute, KV Devi, B Somasekhar, K Panimozhi, ...
    Journal of Electrical Systems 20 (2s), 922-930 , 2024
    2024
  • Cardio Inspect Using ECG Images
    T Shilpa, N Yamsani, RK Marrikukkala, P Kumaraswamy, ...
    International Conference on Innovations in Bio-Inspired Computing and … , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Cardiovascular disease prediction using deep learning techniques
    SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan, Shabana
    IOP conference series: materials science and engineering 981 (2), 022006 , 2020
    2020
    Citations: 141
  • An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM
    CPD Cyril, JR Beulah, N Subramani, P Mohan, A Harshavardhan, ...
    Concurrent Engineering 29 (4), 386-395 , 2021
    2021
    Citations: 118
  • Text categorization performance examination using machine learning algorithms
    BP Yadav, S Ghate, A Harshavardhan, G Jhansi, KS Kumar, E Sudarshan
    IOP Conference Series: Materials Science and Engineering 981 (2), 022044 , 2020
    2020
    Citations: 110
  • IoT based smart solar atmospheric water harvesting system
    E Sudarshan, SN Korra, KM Prof. Rajasekharaiah, S Venkatesulu, ...
    IOP Conference Series: Materials Science and Engineering 981 (4), 042004 , 2020
    2020
    Citations: 67
  • A review report on physical and mechanical properties of particle boards from organic waste
    L Muruganandam, J Ranjitha, A Harshavardhan
    International Journal of ChemTech Research 9 (1), 64-72 , 2016
    2016
    Citations: 51
  • LSGDM with Biogeography‐Based Optimization (BBO) Model for Healthcare Applications
    A Harshavardhan, P Boyapati, S Neelakandan, AA Abdul-Rasheed Akeji, ...
    Journal of Healthcare Engineering 2022 (1), 2170839 , 2022
    2022
    Citations: 46
  • Computer vision based fatigue detection using facial parameters
    A Balasundaram, S Ashokkumar, D Kothandaraman, SN kora, ...
    IOP conference series: materials science and engineering 981 (2), 022005 , 2020
    2020
    Citations: 36
  • Variation analysis of artificial intelligence machine learning and advantages of deep architectures
    SN Pasha, A Harshavardhan, D Ramesh, SS Md
    International Journal of Advanced Science and Technology 28 (17), 488-495 , 2019
    2019
    Citations: 33
  • Chaotic Salp Swarm Optimization‐Based Energy‐Aware VMP Technique for Cloud Data Centers
    S Parthiban, A Harshavardhan, S Neelakandan, V Prashanthi, ...
    Computational intelligence and neuroscience 2022 (1), 4343476 , 2022
    2022
    Citations: 31
  • Preparation and characteristic study of particle board from solid waste
    A Harshavardhan, L Muruganandam
    IOP conference series: Materials science and engineering 263 (3), 032005 , 2017
    2017
    Citations: 31
  • Multilayer stacked probabilistic belief network-based brain tumor segmentation and classification
    S Raghavendra, A Harshavardhan, S Neelakandan, R Partheepan, ...
    International Journal of Foundations of Computer Science 33 (06n07), 559-582 , 2022
    2022
    Citations: 30
  • An Improved Brain Tumor Segmentation Method from MRI Brain Images
    A Harshavardhan, D Sureshbabu, T Venugopal
    2017 2nd International Conference On Emerging Computation and Information … , 2017
    2017
    Citations: 27
  • Three‐dimensional dental image segmentation and classification using deep learning with tunicate swarm algorithm
    H Awari, N Subramani, A Janagaraj, G Balasubramaniapillai Thanammal, ...
    Expert Systems 41 (6), e13198 , 2024
    2024
    Citations: 26
  • Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram
    JC Sekhar, C Rajyalakshmi, S Nagaraj, S Sankar, R Saturi, ...
    Journal of King Saud University-Computer and Information Sciences 35 (10 … , 2023
    2023
    Citations: 24
  • A comprehensive study on traditional AI and ANN architecture
    M Sallauddin, D Ramesh, A Harshavardhan, SN Pasha, A Shabana
    International Journal of Advanced Science and Technology 28 (17), 479-487 , 2019
    2019
    Citations: 24
  • Analysis of feature extraction methods for the classification of brain tumor detection
    A Harshavardhan, S Babu, T Venugopal
    International Journal of Pure and Applied Mathematics 117 (7), 147-155 , 2017
    2017
    Citations: 24
  • Enhancements of artificial intelligence and machine learning
    D Ramesh, PM SSN, A Harshavardhan
    International Journal of Advanced Science and Technology 28 (17), 16-23 , 2019
    2019
    Citations: 22
  • IoT based disease prediction using mapreduce and LSQN 3 techniques
    R Gopi, S Veena, S Balasubramanian, D Ramya, P Ilanchezhian, ...
    Intell. Autom. Soft Comput 34, 1215-1230 , 2022
    2022
    Citations: 20
  • Techniques used for clustering data and integrating cluster analysis within mathematical programming
    A Harshavardhan, PS Nawaz, MD Sallauddin, D Ramesh
    journal of mechanics of continua and mathematical sciences 14 (6), 546-57 , 2019
    2019
    Citations: 17
  • 3D Surface Measurement through Easy-Snap Phase Shift Fringe Projection
    A Harshavardhan, T Venugopal, D Sureshbabu
    Progress in Advanced Computing and Intelligent Engineering, 179-186 , 2018
    2018
    Citations: 17