Mr. Khobragade Pithamber
Designation Assistant Professor
Years of Experience 16
Department ECE
Email Id pithamberk@gmail.com
JNTUH Unique Id 1676-240220-114900
Areas of Specialization VLSI
UG Degree B.Tech - ECE
PG Degree M.Tech - ECE
Ph.D
Joining Date 19-02-2024
Nature of Association Regular

Mr. Khobragade Pithamber

Papers Published

  1. Pithamber, K. (2018). ECG de-noising by using wavelet filter for heartbeat noise signals. In Proceedings of the National Conference on Emerging Trends in Information and Communication Technology (NCET-ICT).
  2. Pithamber, K. (2023). Hardware implementation of virtual telepresence robot for medical services. In Proceedings of the International Conference on Intelligent Systems and Smart Applications.
  3. Pithamber, K. (2024). Innovations in image forensics: Designing a smart learning-based methodology for forgery detection over digital images. In Proceedings of the First International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT 2024).
  4. Aswini, P., Revathi, V., & Pithamber, K. (2024). A survey of machine learning and deep learning techniques for classifying dermatoscopic images for skin cancer prediction. In Proceedings of the 7th International Conference on Contemporary Computing and Informatics (IC3I).
  5. Srikanth, V., Aswini, P., Asha, V., Pithamber, K., Sobti, R., & Salman, Z. (2024). Development of an electric automation control model using artificial intelligence. In Proceedings of the International Conference on Contemporary Computing and Informatics (IC3I).
  6. Indumathi, N., Meera, J. P., Upadhyay, S., Pithamber, K., Kumar, M., & Gupta, J. S. (2024). Early heart failure recognition for infants using machine learning. In Proceedings of the International Conference on Smart Electronics and Communication.
  7. Kashyap, B., Aswini, P., Raj, V. H., Pithamber, K., Sobti, R., & Salman, Z. (2024). Integration of vision and language in multi-mode video converters (partially) aligns with the brain. In Proceedings of the Second International Conference on Computational and Characterization Techniques in Engineering & Sciences (IC3TES).
  8. Pithamber, K. (2025). Machine learning-enhanced accessibility framework in banking services for blind and visually impaired users. In Proceedings of the 5th International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT).

Subjects Taught

Electro magnetic Theory and Transmission Lines, Digital Image Processing, Signals and Systems, Micro Processor and Micro Controllers, Electronic Devices and Circuits and Linear Integrated Circuit Analysis

Books Published

Brochure