Dr. Charudatta Gurudas Korde
Lecturer • Researcher • Cyber Security • Digital Forensics • AI • FPGA • VLSI
📧 charudatta.korde@nfsu.ac.in
📍 India
🎓 Ph.D. Scholar, NIT Goa
🏫 NFSU Dharwad Campus
Profile
Academic professional with expertise in Cyber Security,
Digital Forensics, Artificial Intelligence, FPGA-based
Computing, VLSI Design, and Generative AI. Experienced in
teaching undergraduate and postgraduate courses, mentoring
student projects, conducting interdisciplinary research,
and developing AI-driven solutions for forensic and security
applications.
Core Skills
Cyber Security
Digital Forensics
Artificial Intelligence
Machine Learning
Deep Learning
GANs
FPGA
VLSI
Verilog
Python
PyTorch
Linux
Blockchain
Digital Signal Processing
Research Writing
Research Areas
- Cyber Security & Digital Forensics
- Artificial Intelligence
- Generative Adversarial Networks
- Explainable AI
- FPGA Acceleration
- Reconfigurable Computing
- Edge AI Systems
- Blockchain Applications
Highlights
8+
Years Research
2+
Years Teaching
3
Q1 Journals
6+
Conferences
Important Links
-
GitHub
github.com/charudatta10 -
Portfolio
charudatta10.github.io/portfolio -
Knowledge Wiki
charudatta10.github.io/wiki-notes -
Email
charudatta.korde@nfsu.ac.in -
Google Scholar
Add Scholar Profile Link -
ORCID
Add ORCID Link -
LinkedIn
Add LinkedIn Profile Link -
Research Interests
Cyber Security • Digital Forensics • AI • FPGA • VLSI • GANs
Professional Experience
Lecturer, Department of Cyber Security & Digital Forensics
National Forensic Sciences University (NFSU), Dharwad
- Teaching undergraduate and postgraduate courses.
- Guiding student projects and dissertations.
- Research in AI-driven cybersecurity and forensic systems.
- Curriculum development and academic administration.
Visiting Faculty
Goa Polytechnic College
Education
Ph.D. in VLSI & Reconfigurable Computing
National Institute of Technology (NIT) Goa
Thesis Submitted
M.Tech. in Microelectronics
2015 – 2017 | 80%
B.E. in Electrical & Electronics Engineering
2011 – 2015 | 76%
Research Contributions
- Hybrid Evolutionary Optimization GAN (HEO-GAN)
- Evolutionary Wavelet GAN (EWGAN)
- MFDFA-GAN for image generation quality enhancement
- 2D-MFDFA based GAN architectures
- FPGA implementation of AI models using AMD Xilinx platforms
- Hardware-aware optimization of deep learning models
Publications & Mentoring
- 3 Q1 Journal Publications
- 6+ International Conference Publications
- 1 Journal Article Under Communication
- Guided 5 Master's Students
- Reviewer and Academic Contributor
Technical Stack
- Python, PyTorch, NumPy, Pandas
- FPGA, Verilog HDL, Vivado
- Linux, Git, Docker
- Machine Learning & Deep Learning
- Blockchain & Distributed Systems
- Data Analysis & Visualization
