Amitkumar V. Jha

About

Dr. Amitkumar V. Jha has completed his Bachelor in Engineering in 2012 from University of Pune, India and Master of Technology in 2015 from IIT Guwahati, India. He joined for the PhD in Kalinga Institute of Industrial Technology (KIIT) deemed to be university, India in 2019 and completed PhD in 2022. He joined KIIT deemed to be university in 2015 as an Assistant Professor in the School of Electronics Engineering. He has authored more than 40 papers in international conferences, and journals. To his credits, there are two best paper award in IEEE international conferences held in Japan, Romania. His research interest includes computations, communication networks, and smart grids.

In addition to research, he also has 7 years of teaching experiences in KIIT deemed to be university from 2015 to present. He had taught core engineering courses such as Data Communication and Networking, Computer Networks, Analog Electronics, Introduction to Communication Engineering, Wireless Sensor Networks, etc.

Employment

• KIIT University Associate Professor
  2025 - Present

Education

• Kalinga Institute of Industrial Technology PhD
  2019 - 2022

Projects & Funding

Projects & funding information is unavailable.

Publications (88)

• Advanced control strategy with SPV integrated shunt active power filter for power quality improvement
  Energy Exploration & Exploitation 2026 DOI: 10.1177/01445987251409536
  +Save
• Towards Explainable and Robust Cervical Cancer Screening Using Domain-Specific Transfer Learning Algorithm
  Algorithms 2026 DOI: 10.3390/a19070584
  +Save
• Unveiling the research trajectory and key barriers in seaweed commercialization using bibliometric and fuzzy ISM-MICMAC methods (2000-2025)
  Frontiers in Marine Science 2026 DOI: 10.3389/fmars.2026.1754632
  +Save
• Hybrid Renewable Energy System Incorporated With Shunt Active Power Filter With Improved Control Technique for Power Quality Mitigation
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3707888
  +Save
• A real-time industrial safety automation using YOLO architectures leveraging diverse chromatic domains
  Scientific Reports 2026 DOI: 10.1038/s41598-026-37869-1
  +Save
• A Machine Learning Approach for Hidden Terminal Avoidance and Throughput Enhancement in IEEE 802.11ah-based Internet of Vehicle Networks
  Research Square 2026 DOI: 10.21203/rs.3.rs-9086619/v1
  +Save
• HARVEST: A Locality‐Enhanced Vision Transformer for Efficient Multi‐Level Grocery Classification
  Engineering Reports 2026 DOI: 10.1002/eng2.70534
  +Save
• Privacy-Preserving Synthetic Histopathological Single-to-Multimodal Data Generation from Brain MRI Using Transfer Learning
  Algorithms 2026 DOI: 10.3390/a19020112
  +Save
• YOLO-HARVEST: A hybrid ViT architecture with locality-enhanced attention for automated wildlife species classification
  Ecological Informatics 2026 DOI: 10.1016/j.ecoinf.2026.103605
  +Save
• Deep learning-assisted multiband terahertz metamaterial absorber based biosensor for efficient brain cancer detection
  Physica Scripta 2026 DOI: 10.1088/1402-4896/ae51cf
  +Save