Artificial Intelligence and Software Technologies

Artificial Intelligence (AI) is a technological game changer and has important implications, not to impact the technology itself, but also the related technologies such as aerial drones, electronic warfare, command & control, autonomous system, and the development of swarm robotics.

Deep learning, Optimization of Deep Networks

Time Series Analysis, Recurrent Neural Networks

Active-, Bayesian-Learning, Causal Inference, Gaussian Processes

Data Science, Big Data

Classification, Regression, Unsupervised Learning

Reinforcement Learning and Inverse Reinforcement Learning

Combinatorial Optimization

AI based ASIC Design and Verification

Graphical Models, Vibrational Inference

Deep Auto-encoders, Adversarial Networks, Generative Models

Multitask and Transfer Learning

Brain Computer Interface, Cognitive Science

AI Safety, Fairness and Accountability, Privacy

Natural Language Processing

Multi-Agent Learning, Swarm Intelligence

Natural Language Processing

AI / ML on Embedded System

Quantum Machine Learning & Tiny ML

Brain intelligence Understanding (Neuro-cognition)

Software Technologies

• Requirements Engineering and Risk Assessment
• Algorithms Design and Evaluation
• Software Testing, Verification and Reliability
• Model Driven Development/Model Driven Architecture
• DevOps, Agile Development, Agent Oriented Software Engineering
• Design Patterns, Architecture and Frameworks
• Formal Methods and Verification
• Software Quality Assurance and Process Improvement
• Internet of Things (IoT) and Embedded Systems
• Software Economics, Measurements and Quality Metrics
• Automatic Functional and Non-functional Testing