Seven New Grand challenges for Computer Science

by Thiyagarajan Maruthavanan (Rajan)

From since when I was very young I was always very fascinated with electronics, gadgets.Radio was one device which was all the more fascinating to me. When I made the decision to do engineering my orient was to do a electronic engineering from a premier college in the country. Later I joined for Computer science program as either I had an option for this or to go for Electrical Engineering. At college while in the CS programe I was always oriented more towards electronics subjects and still no doubt I still relish those. But if I ask myself now again to make a choice between computers/electronics engineering. I find computer science much more fascinating than electronics, especially core subjects like Theory of Computation, Operating systems, Algorithms. I am not a master in these subjects but still they are really fascinating.
The list of favourite non core CS subject is just endless – Image Processing, Multimedia, Pattern Recognition, Data Mining.
There is so much in the area of Computer Science that is to be discovered/solved.

Roland Piquepaille’s mentions about an article called Seven New Grand Challenges for Computer Science

In Vivo In Silico (IVIS): This project is focused on modeling real-life events in silicon to experiment with virtual organisms.

Science for Global Ubiquitous Computing: In 20 years, computers will be everywhere and globally interconnected. Researchers think that this worldwide network will be seen as a single Global Universal Computer (GUC). The goal is to define the theories behind this future GUC.

Memories for Life: The amount of data that we collect, pictures, films, e-mails, is growing at a growing rate every day. This project wants to find ways to securely store and search all of these data.

Scalable Ubiquitous Computing Systems: This is an approach to solve future problems coming from growing computing complexity created by increasingly networked computers and Internet’s proliferation, leading to the integration of organic models.

Architecture of Brain and Mind: This project wants to know how our brains are working. But even the proponents of this plan are not sure it can be done in 15 years.

Dependable Systems Evolution: With computer viruses and worms causing increasingly severe threats to everybody, this project wants to build “dependable, secure and trustworthy computer systems.”

Journeys in Non-Classical Computing: This is an attempt to build complex computer systems by using nature and biology as sources of inspiration