padmajagrandhe

@suh.edu.in

Professor & CSE
sreenidhi university

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Multidisciplinary
17

Scopus Publications

82

Scholar Citations

4

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Bridging the Gap between AI Technology and Strategy for Business Goals
    Kande Archana, V. Kamakshi Prasad, S.K. Khaja Shareef, Gadiparthi Manjunath, Grandhe Padmaja
    AI in Business Management Bridging the Gap Between Technology and Strategy, 2025
    The fast growth of Artificial Intelligence (AI) creates substantial opportunities and problems for firms attempting to integrate technology with strategic goals. This chapter investigates the use of AI in business management, with an emphasis on closing the gap between technology advancements and effective business strategy. We look at how sophisticated AI technologies such as Machine Learning (ML), Natural Language Processing (NLP), Robotic Process Automation (RPA), and predictive analytics can help businesses streamline operations, make better decisions, and gain a competitive advantage. The chapter uses real-world case studies to highlight how firms can use AI to optimize resource management, improve customer experience, and boost operational efficiency. Furthermore, we address the important need to link AI activities with overall company strategy, ensuring that AI solutions are both technically solid and strategically impactful. Data privacy, organizational change management, and ethical AI implementation are all thoroughly covered, giving firms concrete insights. Finally, the chapter presents a framework for firms to connect AI technology with business objectives, allowing them to fully realize AI’s promise for long-term growth and innovation. This chapter explores how aligning artificial intelligence with strategic business objectives can drive innovation, efficiency, and competitive advantage. It offers practical frameworks for integrating AI into core decision-making processes across industries.
  • Revolutionizing healthcare with cloud computing: Opportunities, challenges, and innovations for secure patient-centered systems
    Ravikumar Ch, Burri Naresh, Isha Batra, Arun Malik, Padmaja Grandhe
    Analyzing Mobile Apps Using Smart Assessment Methodology, 2025
    Cloud computing is revolutionizing healthcare by improving service quality, efficiency, and affordability, while also addressing the evolving challenges in patient care. With the rapid digital transformation in healthcare, cloud-based systems offer new opportunities for data storage, patient monitoring, and healthcare management. However, as more sensitive medical data moves to the cloud, security concerns regarding data privacy and third-party remote storage become critical issues. This research examines the potential of healthcare cloud computing, highlighting its benefits and challenges, including security and legal considerations. The paper introduces TDBNN, a deep learning-based system designed to enhance the security of cloud-stored healthcare data, ensuring better protection of patient privacy. This work provides insights into the future of cloud-based healthcare systems and their implications for patient-centered care.
  • ADAPT: an AI-Driven approach for arrhythmia detection in diabetic patients
    G. Mokesh Rayalu, K. S. R. Radhika, D. Anitha Kumari, Vamsi Krishna Reddy Botta, G. Padmaja, Mohammed Ali Hussain
    International Journal of System Assurance Engineering and Management, 2024
  • An Extensive Study on Unattended Object Detection in Video Surveillance
    Padmaja Grandhe, Ponnuri Bhavani Dhanush, Muskaan Mohammad, Atmakuri Nikhita Alekhya Adhi Lakshmi, Chakka Venkata Sai Rohit Kumar
    Lecture Notes in Networks and Systems, 2023
  • Improving The Hiding Capacity of Image Steganography with Stego-Analysis
    Padmaja Grandhe, A.Mallikarjuna Reddy, Kavyasri Chillapalli, Kavya Koppera, Manasa Thambabathula, L P Reddy Surasani
    2023 IEEE International Conference on Integrated Circuits and Communication Systems Icicacs 2023, 2023
    Communicating online without fearing third-party interventions is becoming a challenge in the modern world. Especially the sectors like the military, and government organizations or private companies sharing sensitive information. They invest a lot of effort and cost into obtaining the advancement of safe communication techniques. Image processing encryption techniques using various algorithms promote security over communication channels and using different analysis methods make the tool stand out in providing security to the information. In today's world, there are various steganographic mechanisms that convert the secret message into stego medium and send it across various communication channels. Using algorithms like Blind Hide promotes the security of the message along with using multiple analysis methods that will further improve the tool in giving out information of encoded accuracy, size of stego of the secret message. The aim is to generate a tool that will give out a benchmark value of how precisely the message is stored in the cover file. Using Stego and bulk analysis the information about the presence of the stego medium in the message can be known to the user. All these analysis methods make the tool more enhanced and secure.
  • Enhanced Tal Hassner and Gil Levi approach for prediction of age and gender with mask and mask less
    Advancement of Deep Learning and Its Applications in Object Detection and Recognition, 2022
  • An extensive study on object detection and recognition using deep learning techniques
    Advancement of Deep Learning and Its Applications in Object Detection and Recognition, 2022
  • Adaptive Convolution Neural Networks for Facial Emotion Recognition
    P. V. S. Lakshmi, Haritha Akkineni, Ande Hanika, Padmaja Grandhe
    Communications in Computer and Information Science, 2022
  • An Efficient Cross-Layered Approach Quality-Aware Energy-Efficient Routing Protocol for QoS in MANET
    S. Jayaprada, B. Srikanth, Chokka Anuradha, K. Kranthi Kumar, Syed Khasim, Padmaja Grandhe
    Lecture Notes on Data Engineering and Communications Technologies, 2022
  • A novel method for content based 3D medical image retrieval system using dual tree M-band wavelets transform and multiclass support vector machine
    Padmaja Grandhe
    Journal of Advanced Research in Dynamical and Control Systems, 2020
  • Extensive data set analysis & prediction using R
    Padmaja Grandhe, Vishnu Priya Damarla, Shaziya Mohammad
    Journal of Physics Conference Series, 2019
  • Automatic brain tumor detection using fast fuzzy C-means algorithm
    Srikanth Busa, Navya Sree Vangala, Padmaja Grandhe, V. Balaji
    Lecture Notes in Networks and Systems, 2019
  • Adaptive ROI search for 3D visualization of MRI medical images
    Padmaja Grandhe, Sreenivasa Reddy Edara, Vasumathi Devara
    2017 International Conference on Energy Communication Data Analytics and Soft Computing Icecds 2017, 2018
  • An extensive study of visual search models on medical databases
    Padmaja Grandhe, Sreenivasa Reddy Edara, Vasumathi Devara
    Lecture Notes in Networks and Systems, 2018
  • Adaptive analysis & reconstruction of 3D DICOM images using enhancement based SBIR algorithm over MRI
    Biomedical Research India, 2018
  • Performance preview on image super resolution using wavelets transform based on samples
    Vicharapu Balaji, Ch. Anuradha, P. S. R. Chandra Murty, Grandhe Padmaja
    Lecture Notes on Data Engineering and Communications Technologies, 2018
  • An adaptive cluster based image search and retrieve for interactive roi to MRI image filtering, segmentation, and registration
    Journal of Theoretical and Applied Information Technology, 2016

RECENT SCHOLAR PUBLICATIONS

  • Revolutionizing Healthcare With Cloud Computing: Opportunities, Challenges, and Innovations for Secure Patient-Centered Systems
    R Ch, B Naresh, I Batra, A Malik, P Grandhe
    Analyzing Mobile Apps Using Smart Assessment Methodology, 95-112 , 2026
    2026
    Citations: 4
  • Bridging the Gap between AI Technology and Strategy for Business Goals
    K Archana, VK Prasad, SKK Shareef, G Manjunath, G Padmaja
    AI in Business Management, 47-72 , 2025
    2025
    Citations: 1
  • Leaf Disease Identification on Infrared Images based on ConvNext v2 model
    P Kativarapu, GM Padmaja
    2025 6th International Conference for Emerging Technology (INCET), 1-6 , 2025
    2025
  • Robust Vehicle Number Plate Text Recognition and Data Analysis Using Tesseract Ocr
    G Padmaja, S Pesaru, DN Reddy, DA Kumari, SP Maram
    ITM Web of Conferences 74, 01009 , 2025
    2025
  • ADAPT: an AI-Driven approach for arrhythmia detection in diabetic patients
    G Mokesh Rayalu, KSR Radhika, D Anitha Kumari, VKR Botta, ...
    International Journal of System Assurance Engineering and Management, 1-17 , 2024
    2024
    Citations: 1
  • Enhanced Tal Hassner and Gil Levi Approach for Prediction of Age and Gender with Mask and Mask less
    S Busa, J Somala, ST Sri, P Grandhe
    Advancement of Deep Learning and its Applications in Object Detection and … , 2023
    2023
  • An Extensive Study on Object Detection and Recognition using Deep Learning Techniques
    P Grandhe, B Swathi, KSR Radhika, S Busa, DO Aviansh
    Advancement of Deep Learning and its Applications in Object Detection and … , 2023
    2023
  • Improving The Hiding Capacity of Image Steganography with Stego-Analysis
    P Grandhe, AM Reddy, K Chillapalli, K Koppera, M Thambabathula, ...
    2023 IEEE International Conference on Integrated Circuits and Communication … , 2023
    2023
    Citations: 2
  • An extensive study on unattended object detection in video surveillance
    P Grandhe, PB Dhanush, M Mohammad, ANAA Lakshmi, CVSR Kumar
    International Conference on Intelligent Sustainable Systems, 183-193 , 2023
    2023
    Citations: 1
  • An Efficient Cross-Layered Approach Quality-Aware Energy-Efficient Routing Protocol for QoS in MANET
    S Jayaprada, B Srikanth, C Anuradha, K Kranthi Kumar, S Khasim, ...
    Mobile Computing and Sustainable Informatics: Proceedings of ICMCSI 2022 … , 2022
    2022
    Citations: 3
  • Adaptive convolution neural networks for facial emotion recognition
    PVS Lakshmi, H Akkineni, A Hanika, P Grandhe
    International Conference on Artificial Intelligence and Data Science, 135-143 , 2021
    2021
    Citations: 2
  • Healthcare Chatbot
    G Padmaja, MS Begum, A Chandrika, BB Sree, G Meghana
    purakal 31 (20), 190-196 , 2020
    2020
    Citations: 3
  • An Automated Tool for Emotion Recognization Based on Reviews
    grandhe Padmaja, VSV Lakshmi, Z Sasank, S Ayesha, U Sriteja.
    Alochana Chakra 9 (4), 4228-4233 , 2020
    2020
  • A Novel Method for Content based3D Medical Image Retrieval System Using Dual Tree M-Band Wavelets Transform and Multiclass Support Vector Machine
    P Grandhe, DES Reddy, DD Vasumathi
    Journal of Advanced Research in Dynamical and Control Systems 12 (3), 279-286 , 2020
    2020
    Citations: 11
  • Extensive data set analysis & prediction using R
    P Grandhe, VP Damarla, S Mohammad
    Journal of Physics: Conference Series 1228 (1), 012048 , 2019
    2019
    Citations: 2
  • Character recognition in images using PYTESSARACT
    G Padmaja, P Parmeswari, V VenkatSivaramireddy, UNST Sujitha, ...
    Universal Review Journal 3 (3), 309-312 , 2019
    2019
  • Attendance Monitoring system face recognition
    P grandhe, GNV Ahalya, KL Sowjanya, BJDVS Kumar, K Sahithya
    international journal of research and analytical reviews 6 (1), 91-93 , 2019
    2019
  • Enhancing the Women Commute Patterns with IoT Enabled Transit
    DA Haritha, DPVS Lakshmi, G Padmaja
    INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING 6 … , 2018
    2018
  • Automatic brain tumor detection using fast fuzzy C-means algorithm
    S Busa, NS Vangala, P Grandhe, V Balaji
    Innovations in Computer Science and Engineering: Proceedings of the Fifth … , 2018
    2018
    Citations: 14
  • Adaptive analysis & reconstruction of 3D DICOM images using enhancement based SBIR algorithm over MRI
    P Grandhe, SR Edara, V Devara
    Biomedical Research 29 (4), 644-653 , 2018
    2018
    Citations: 13

MOST CITED SCHOLAR PUBLICATIONS

  • Automatic brain tumor detection using fast fuzzy C-means algorithm
    S Busa, NS Vangala, P Grandhe, V Balaji
    Innovations in Computer Science and Engineering: Proceedings of the Fifth … , 2018
    2018
    Citations: 14
  • Secured bank authentication using image processing and visual cryptography
    B Srikanth, G Padmaja, S Khasim, PVS Lakshmi, A Haritha
    International Journal of Computer Science and Information Technologies 5 (2 … , 2014
    2014
    Citations: 14
  • Adaptive analysis & reconstruction of 3D DICOM images using enhancement based SBIR algorithm over MRI
    P Grandhe, SR Edara, V Devara
    Biomedical Research 29 (4), 644-653 , 2018
    2018
    Citations: 13
  • A Novel Method for Content based3D Medical Image Retrieval System Using Dual Tree M-Band Wavelets Transform and Multiclass Support Vector Machine
    P Grandhe, DES Reddy, DD Vasumathi
    Journal of Advanced Research in Dynamical and Control Systems 12 (3), 279-286 , 2020
    2020
    Citations: 11
  • Revolutionizing Healthcare With Cloud Computing: Opportunities, Challenges, and Innovations for Secure Patient-Centered Systems
    R Ch, B Naresh, I Batra, A Malik, P Grandhe
    Analyzing Mobile Apps Using Smart Assessment Methodology, 95-112 , 2026
    2026
    Citations: 4
  • Adaptive roi search for 3d visualization of MRI medical images
    P Grandhe, SR Edara, V Devara
    2017 International Conference on Energy, Communication, Data Analytics and … , 2017
    2017
    Citations: 4
  • An Efficient Cross-Layered Approach Quality-Aware Energy-Efficient Routing Protocol for QoS in MANET
    S Jayaprada, B Srikanth, C Anuradha, K Kranthi Kumar, S Khasim, ...
    Mobile Computing and Sustainable Informatics: Proceedings of ICMCSI 2022 … , 2022
    2022
    Citations: 3
  • Healthcare Chatbot
    G Padmaja, MS Begum, A Chandrika, BB Sree, G Meghana
    purakal 31 (20), 190-196 , 2020
    2020
    Citations: 3
  • An automatic diagnostic system for CT brain image classification
    B Srikanth, G Padmaja, M Hima Bindu
    Int J Eng Res Technol (IJERT) 1 , 2012
    2012
    Citations: 3
  • Improving The Hiding Capacity of Image Steganography with Stego-Analysis
    P Grandhe, AM Reddy, K Chillapalli, K Koppera, M Thambabathula, ...
    2023 IEEE International Conference on Integrated Circuits and Communication … , 2023
    2023
    Citations: 2
  • Adaptive convolution neural networks for facial emotion recognition
    PVS Lakshmi, H Akkineni, A Hanika, P Grandhe
    International Conference on Artificial Intelligence and Data Science, 135-143 , 2021
    2021
    Citations: 2
  • Extensive data set analysis & prediction using R
    P Grandhe, VP Damarla, S Mohammad
    Journal of Physics: Conference Series 1228 (1), 012048 , 2019
    2019
    Citations: 2
  • An Extensive Study of Visual Search Models on Medical Databases
    P Grandhe, SR Edara, V Devara
    Innovations in Electronics and Communication Engineering, 219-228 , 2018
    2018
    Citations: 2
  • AN ADAPTIVE CLUSTER BASED IMAGE SEARCH AND RETRIEVE FOR INTERACTIVE ROI TO MRI IMAGE FILTERING, SEGMENTATION, AND REGISTRATION.
    P Grandhe, ES Reddy, D Vasumathi
    Journal of Theoretical & Applied Information Technology 94 (1) , 2016
    2016
    Citations: 2
  • Bridging the Gap between AI Technology and Strategy for Business Goals
    K Archana, VK Prasad, SKK Shareef, G Manjunath, G Padmaja
    AI in Business Management, 47-72 , 2025
    2025
    Citations: 1
  • ADAPT: an AI-Driven approach for arrhythmia detection in diabetic patients
    G Mokesh Rayalu, KSR Radhika, D Anitha Kumari, VKR Botta, ...
    International Journal of System Assurance Engineering and Management, 1-17 , 2024
    2024
    Citations: 1
  • An extensive study on unattended object detection in video surveillance
    P Grandhe, PB Dhanush, M Mohammad, ANAA Lakshmi, CVSR Kumar
    International Conference on Intelligent Sustainable Systems, 183-193 , 2023
    2023
    Citations: 1
  • Leaf Disease Identification on Infrared Images based on ConvNext v2 model
    P Kativarapu, GM Padmaja
    2025 6th International Conference for Emerging Technology (INCET), 1-6 , 2025
    2025
  • Robust Vehicle Number Plate Text Recognition and Data Analysis Using Tesseract Ocr
    G Padmaja, S Pesaru, DN Reddy, DA Kumari, SP Maram
    ITM Web of Conferences 74, 01009 , 2025
    2025
  • Enhanced Tal Hassner and Gil Levi Approach for Prediction of Age and Gender with Mask and Mask less
    S Busa, J Somala, ST Sri, P Grandhe
    Advancement of Deep Learning and its Applications in Object Detection and … , 2023
    2023