Members
Dilip K. Prasad – Professor
- Sustainable AI
- Scalable AI
- Interpretable AI
- Generative AI
- Application of AI for life sciences.
Alexander Horsch – Professor
Suyog S. Jadhav – Doctoral Research Fellow
Abhinanda Ranjit Punnakkal – PhD fellow
Ayush Somani – PhD Fellow
A machine learning aficionado with strong technical, management and interpersonal skills who loves solving interesting problems, brainstorming and transforming complication into simplicity.
Iqra Qasim – Doctoral Research Fellow
Anne Håkansson – Professor
Professor Anne Håkansson research lies within Computer science with the focus on Artificial Intelligence, and reasoning strategies, for different application areas, among others e-business, environmental impact assessment, and context. Especially, Håkansson has conducted research within Knowledge-based systems and Knowledge Base modelling, Reasoning, Graphic Representation, Visualisation, Visual Programming, Declarative Programming, Multi-agent systems, and Meta-agents.
Currently Professor Håkansson conducts research within Cyber-Physcial Systems, Reasoning and Negotiation in Computer Systems, Sustainability and Artificial Intelligence for combining senses. This includes Event-driven algorithm for searching in network, Smart cities and Smart sociteies Ontologies, and Contexts.
Volatile Multiple Smart Systems, VoLM2s (for stationary and mobile systems, e.g. CPS, IoT):
- Next generation of smart systems – multiple connected systems that are only connected in some situations or for some purposes.
- Volatile – the situation decides the incorporated systems – data and information exchange is lost when systems are out of the communication sphere.
- Smart everywhere: Collaborations between different systems, everywhere; Co-operations to perform complex tasks
- Complex and situation-dependent data
- Generalize in heterogeneous environments
The systems are a part of the Volatile Distributed Multi Smart Network.
Aaron Vaughn Celeste – Senior Software Engineer
Rohit Agarwal – PhD fellow
Samir Malakar – Postdoctoral Fellow
My research interest includes
- Document and Medical Image Processing
- Pattern Recognition
- Artificial Intelligence (AI)
- Sustainable AI
- NanoAI
- Optimization (Meta-heuristic)
Himanshu Buckchash – Postdoctoral research fellow
Yigit Can Dundar – PhD fellow
Nirwan Banerjee – Doctoral Research Fellow
Marc Weitz – Doctoral Research Fellow
In his PhD Marc does research on new methods to process and model (raw) accelerometer data. These small sensors are often used to objectively meassure physical activity, sleep and other lifestyle factors in general in cohort and public health studies or as a control meassurement in experimental studies. Marc's research focuses on advancing our understanding of the collected data.