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Avatharam Ganivada
Asst. Professor
EB-201, New Building
School of Computer and Information Sciences
University of Hyderabad, Central University P.O.
Hyderabad - 500 046, India

Phone: +91-40-23134105
E-Mail: avatharg@uohyd.ac.in


About Me






Projects

Research Publications





Int'l Journals

  • M. F. Dar, and A. Ganivada*, "Deep Learning and Genetic Algorithm-based Ensemble Model for Feature Selection and Classification of Breast Ultrasound Images", Image and Vision Computing, vol.146, pp. 105018, 2024 (IF:4.7, elsevier)
  • M. F. Dar, and A. Ganivada, "Adaptive Ensemble Loss and Multi-Scale Attention in Breast Ultrasound Segmentation with UMA-Net", Accepted with minor chnages in Medical & Biological Engineering & Computing (IF:2.6, Springer).
  • S. Yara and A. Ganivada*, "A Modified Inter-Frame Difference Method for Detection of Moving Objects in Videos", Accepted in International Journal of Information Technology (Springer).
  • A. Ganivada and S. Yara, "A Novel Deep Convolutional Encoder-Decoder Network: Application to Moving Object Detection in Videos", Neural Computing and Applications, vol. 35, no. 39, pp. 22027-22041, 2023 (IF:6.0, Springer)
  • M. F. Dar, and A. Ganivada*, "EfficientU-Net: A Novel Deep Learning Method for Breast Tumor Segmentation and Classification in Ultrasound Images", Neural Processing Letters, vol. 55, pp. 10439-10462, 2023 (IF:3.1, Springer).
  • A. Ganivada, S. Ramanna, "Self-organizing map with granular competitive learning: Application to microarray clustering", Intell. Decis. Technology, vol. 16(3), pp. 505-521, 2022 (IF:1.2, IOS Press).
  • S. Ahmad, R. Pal, A. Ganivada, "Rank level fusion of multimodal biometrics using genetic algorithm", Multim. Tools and Applications, vol. 81, no. 28, pp. 40931-40958, 2022 (IF:3.6, Springer).
  • S. S. Ray, A. Ganivada and S. K. Pal, "A Granular Self-Organizing Map for Clustering and Gene Selection in Microarray data", IEEE Trans. Neural Networks and Learning Systems , vol. 27, no. 9, pp. 1890--1906, 2016 (IF:11.45, IEEE).
  • A. Ganivada, S. S. Ray and S. K. Pal, "Fuzzy Rough Sets, New Granular Neural Networks for Unsupervised Feature Selection", Neural Networks, vol. 48, pp. 91--108, 2013 (IF:5.75, elsevier).
  • A. Ganivada, S. S. Ray and S. K. Pal, "Fuzzy Rough Granular Self-Organizing Map and Fuzzy Rough Entropy", Theoretical Computer Science, vol. 466, pp. 37--63, 2012 (IF:1.2, elsevier).
  • A. Ganivada, S. Dutta, and S. K. Pal, "Fuzzy Rough Granular Neural Networks, Fuzzy granules and Classification", Theoretical Computer Science, vol. 412, pp.5834--5853, 2011 (IF:1.2, elsevier).
  • A. Ganivada and S. K. Pal, "A Novel Fuzzy Rough Granular Neural Network for Classification", International Journal in Computational Intelligence Systems, vol. 4, no. 5, pp.1042--1051, 2011 (IP:1.3, Atlantis press).
  • Int'l Conferences

  • A. Ganivada, A. Negi and A. Prasad, "Facial Expression Recognition Using Ensemble Learning Approach", in Proceedings of Int'l Conference on Advanced Communications and Machine Intelligence, MICA, vol 405, Springer, 2024.
  • S. Ahmad, R. Pal, A.Ganivada, "Identifying a Person in Mask: Fusion of Masked Face and Iris", in Proceddings of 7th Int'l conf. on Soft Computing: Theories and Applications, PReMI, LNCS, Springer,2023.
  • A. Ganivada, S. Mukhtar, "Type-II Fuzzy Kernel-Based Multi-layer Extreme Learning Machine", in Proceddings of 7th Int'l conf. on Soft Computing: Theories and Applications, LNNS, vol. 627, pp. 601-609, 2023.
  • S. Yara, A. Ganivada, "Detection of Moving Objects and Enhancement Using Motion Features in Various Video Sequences", in Innovations in Computer Science and Engineering, LNNS, vol. 385, 2022.
  • S. Ahmad, R. Pal, A.Ganivada, "Matching Score-Based Biometric Quality Estimation for Score and Rank Level Fusion for Person Identification", in Proceddings of ICVGIP, 1-56, 2022.
  • A.Ganivada, "Fuzzy Methodologies for Forecasting Usage and Wet-Bulb Data Variables", IEEE International Conference on Intelligent Systems, Smart and Green Technologies, pp. 6–10, 2021.
  • S. Ahmad, R. Pal, A. Ganivada, "Score Level Fusion of Multimodal Biometrics Using Genetic Algorithm", IEEE Congress on Evolutionary Computation, pp. 2242–2250, 2021.
  • A. Ganivada, "Generalized Fuzzy Rough Sets Based on New Fuzzy Similarity Relation", in Proceddings of 7th Int'l Conf. of SoCPaR, 1-9, 2019.
  • Students





    Research Guidance

    Ph.D. Thesis Supervision
    • Yara Srinivas, ongoing
    • Mohsin F. Dar, ongoing
    • Cosupervisor for Shadab Ahamad, IDRBT & HCU, thesis submitted
    • Cosupervisor for Manasa, IDRBT & HCU, ongoing
    M.Tech. Dissertation Supervision
    • Avinas Paidi, completed in 2019
    • Venkatesh Chalumuri, completed in 2019
    • Rachana Uniyal, completed in 2020
    • Ashutosh Rane, completed in 2020
    • Abilash Dash, completed in 2020
    • Sushmitha Lakma, completed in 2021
    • Krishna Shah, completed in 2021
    • Ankit Prasad, completed in 2021
    • V. Anvesh Raju, completed in 2022
    • Ponagani Satish Kumar, (2023)
    • Tawab Shinwari, (2023)

    Teaching




    • Computer Based Numerical Methods and Statistics (CBNSM), and IT course for CIS students, July.,- Dec., 2018.
    • Neural Networks, Jan.,- May., 2019.
    • Computer Based Numerical Methods and Statistics (CBNSM),July.,- Dec., 2019.
    • Neural Networks and Object Oriented Analysis and Design, Theory and Lab, Jan.,- May., 2020.
    • Computer Graphics (shared with Dr. Anupama) and Pattern Recognition, July.,- Dec., 2020.
    • IT101 course for CIS students, Jan.,- May., 2021.
    • Image Processing, and IT101 course, July.,- Dec., 2021.
    • Data And File Structures, Theory and Lab, Jan.,- May., 2022.
    • Image Processing, July.,- Dec., 2022.
    • Data And File Structures, Theory and Lab, Jan.,- May., 2023.
    • Data Structres and Programming, Lab, Aug.,-Dec., 2023.
    • IT162, Theory and Lab, CIS Jan.,-May., 2024.