AI in Digital Forensics
Revolutionizing Digital Investigations with AI: Enhancing Accuracy, Speed, and Efficiency
About This Course
This workshop will delve into how AI is transforming digital forensics by improving the efficiency, accuracy, and speed of evidence collection and analysis. It will cover AI-powered tools like image classifiers, natural language processing (NLP), and automated evidence collection systems. Case studies and practical applications will demonstrate AI’s integration into cyber forensics and digital investigations.
Aim
To explore the role of AI in revolutionizing digital forensics, enhancing the analysis, collection, and interpretation of evidence for criminal investigations.
Workshop Objectives
- Understand the intersection of AI, defect engineering, and 2D nanomaterials
- Learn how machine learning can optimize material properties for nanoelectronics
- Explore the applications of AI in quantum computing and next-gen electronic devices
Workshop Structure
Day 1: Introduction to AI in Digital Forensics
- Overview of Digital Forensics & AI: Understand AI’s role in modernizing forensics, including key concepts and real-world applications.
- AI-Powered Forensic Tools: Explore tools like Magnet AXIOM for automated evidence collection, image analysis, and document processing.
- AI-Powered Forensic Tools: AI and ML enhance digital forensic investigations
- Hands-On Session: Introduction to using AI tools for image categorization and document analysis.
Day 2: Advanced AI Techniques and Applications
- AI Techniques for Evidence Analysis: Learn about NLP for text analysis, deep learning for image forensics, and AI in network forensics.
- Automating Forensic Workflows: Discuss AI’s role in automating tasks to reduce human error and speed up investigations.
- Hands-On Session: Use advanced AI features like anomaly detection and chat log analysis.
- Hands-On Session: Role of AI & ML in cyber-forensic evidence acquisition and analysis
Day 3: Legal, Ethical, and Practical Considerations
- Legal and Ethical Issues: Examine the legal implications, chain of custody, and ethical concerns in using AI for forensic investigations.
- Case Studies: AI flags fraud, traces malware, verifies identities—toward predictive, explainable forensics.
- Hands-On Session: Chain-of-custody, XAI, privacy/bias, human review; mitigate drift, adversarial attacks, Daubert/Frye.
Who Should Enrol?
- Materials scientists and engineers
- AI/ML engineers interested in material design
- Researchers in nanoelectronics and quantum computing
- Postgraduate students in nanotechnology and material science
Important Dates
Registration Ends
11/14/2025
IST 7:00 PM
Workshop Dates
11/14/2025 – 11/16/2025
IST 8:00 PM
Workshop Outcomes
- Deep understanding of defect engineering in 2D nanomaterials
- Expertise in using AI for material optimization
- Insight into AI’s impact on quantum electronics and computing
- Practical skills in applying AI techniques to nanoelectronics
Fee Structure
Student Fee
₹1499 | $55
Ph.D. Scholar / Researcher Fee
₹2499 | $65
Academician / Faculty Fee
₹3499 | $80
Industry Professional Fee
₹4499 | $90
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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