Yadunath Pathak
Also known as: Assistant Professor, Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal
Maulana Azad National Institute of Technology, Visvesvaraya National Institute of Technology, Atal Bihari Vajpayee Indian Institute of Information Technology and Management
About
I, Dr. Yadunath Pathak is currently working as an Assistant Professor in the Computer Science & Engineering Department at MANIT- Bhopal. Formerly, I was an Assistant Professor in VNIT, Nagpur, Maharashtra(24-06-2022 to 22-01-2024) and Indian Institute of Information Technology (IIIT) Bhopal(10/07/2019 to 23-06-2022). I am a Senior member of IEEE and SIGHT Chair of IEEE MP Section . I received my PhD and M.Tech degrees from Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (ABV-IIITM). My research interests are: Image Processing, Medical Imaging and Machine Learning, Deep learning, Human Gait Analysis and IoT. I credit 30 research publications in reputed journals, conferences and international book chapters.
Employment
-
Maulana Azad National Institute of Technology Assistant Professor2024 - Present
-
Visvesvaraya National Institute of Technology Assistant Professor2022 - 2024
-
Indian Institute of Information Technology (IIIT) Assistant Professor2019 - 2022
Education
-
Atal Bihari Vajpayee Indian Institute of Information Technology and Management PhD
-
Atal Bihari Vajpayee Indian Institute of Information Technology and Management Master of Technology
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Inverse Kinematic Solution Using Neural Networks for Multimodal Inputs and Optimization in Constrained Workspace Save
- Bunch graph based dimensionality reduction using auto-encoder for character recognition Save
- Deep Bidirectional Classification Model for COVID-19 Disease Infected Patients Save
- A Novel Machine Learning Model to Predict the Staying Time of International Migrants Save
- Artificial Immune Systems-Based Classification Model for Code-Mixed Social Media Data Save
- Deep Transfer Learning Based Classification Model for COVID-19 Disease Save
- An efficient low-dose CT reconstruction technique using partial derivatives based guided image filter Save
- CT Image Reconstruction using Fourth-order PDE based AD Regularization Save
- Computed tomography reconstruction on distributed storage using hybrid regularization approach Save
- Content-based image retrieval based on supervised learning and statistical-based moments Save