Priyanka Singh (Senior Member, IEEE; PhD CSE AI/ML, NIT Silchar))

About

Dr. Priyanka Singh is an accomplished academic and IEEE Senior Member with a PhD in Computer Science and Engineering (CSE) from NIT Silchar, specializing in malware detection, machine learning, and deep neural networks. With over nine years of teaching experience, she currently serves as an Assistant Professor at VIT-AP University, Andhra Pradesh. Dr. Singh has a strong research background, with multiple publications in international journals and conferences, contributing to advancements in malware detection and AI. Her academic journey includes an MTech from VTU University and a BE in CSE from Solapur University. She is also actively involved in organizing workshops and guiding students in advanced areas of computer science.

Employment

• NIT Silchar Guest Faculty
  2016 - 2017
• RSCOE Pedhambe Assistant Professor
  2014 - 2015

Education

• NIT Silchar PhD Scholar

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• A hybrid BOBE framework for scattering parameter prediction of wideband crescent slot microstrip antenna
  Array 2026 DOI: 10.1016/j.array.2026.100872
  +Save
• Alzheimer’s Disease Dementia Detection Using Transfer Learning Based Convolutional Neural Network Model
  International Journal Bioautomation 2025 DOI: 10.7546/ijba.2025.29.3.000950
  +Save
• Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks
  2025 Third International Conference on Microwave, Antenna and Communication (MAC) 2025 DOI: 10.1109/mac64480.2025.11139887
  +Save
• Optimized feature representation and selection for malware detection using portable executable headers and machine learning
  Journal of Computer Virology and Hacking Techniques 2025 DOI: 10.1007/s11416-025-00555-3
  +Save
• RFID Antenna Deployment Model and Anti-Collision Algorithms to Enhance Vehicle Toll System Efficiency
  Electronics 2025 DOI: 10.3390/electronics14071404
  +Save
• A machine learning-based approach for maximizing system profit in a power system by imbalance price curtailment
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2024.109874
  +Save
• Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3532634
  +Save
• Eternal-Thing 3.0: Mixed-Mode SoC for Energy Harvesting System Towards Sustainable IoT
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3583798
  +Save
• Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection
  International Journal of Intelligent Systems 2023 DOI: 10.1155/2023/9544481
  +Save
• Performance Enhancement of SVM-based ML Malware Detection Model Using Data Preprocessing
  2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET) 2022 DOI: 10.1109/icefeet51821.2022.9848192
  +Save