Munawar Hussain
Brig. Munawar Hussain (Retd) has varied experience in technical instructional and administrative fields. He is an established expert in the fields of Mechanical, Computer and Software Engineering. He has maintained an excellent academic record throughout his career. He is an alumnus of Michigan State University. USA. He also graduated from National Defence University, Islamabad. He has a deep understanding of interplay of the various elements of national power. He has established himself as an efficient manager and administrator in NESCOM and is capable of undertaking mega projects and leading them to success. In Pakistan Army, he had served on many important projects like Tank Simulators, performance upgradation of various types of ammunition and spectroscopy. He contributed significantly as Director General. Centre for Net-centric Warfare Technologies (CENTech) while supervising critically important projects. He keeps close liaison with Original Equipment Manufacturer and other users which facilitated in smooth accessibility and deployment of the critical technology. The indigenously development of C4I2 System under his supervision have saved enormous foreign exchange. His entire career is embedded with extraordinary hard work, knowledge of the latest trends and advanced technologies particularly in the field of command and control systems. He also contributed to automation projects of strategic forces. At present, Brig (Retd) Munawar is heading a technical team which has been assigned the task to indigenously develop Operating System.
In recognition of his outstanding performance in the field of Engineering (Computer Science), the President of the Islamic Republic of Pakistan has been pleased to confer on Brig. (Retd) Munawar Hussain, the award of "Sitara-i-lmtiaz".
It is a form of ubiquitous computing which uses sensors to perceive its environment and react accordingly. A common use of the sensors is to construct a world model which allows location-aware or context-aware applications to be constructed. Some example applications of the system include:
At present, there is no widely agreed upon definition for cognitive computing in either academia or industry.
They may learn as information changes and as goals and requirements evolve. They may resolve ambiguity and tolerate unpredictability. They may be engineered to feed on dynamic data in real time, or near real time.
They may interact easily with users so that those users can define their needs comfortably. They may also interact with other processors, devices, and Cloud services, as well as with people
They may aid in defining a problem by asking questions or finding additional source input if a problem statement is ambiguous or incomplete. They may "remember" previous interactions in a process and return information that is suitable for the specific application at that point in time.
They may understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulations, user’s profile, process, task and goal. They may draw on multiple sources of information, including both structured and unstructured digital information, as well as sensory inputs (visual, gestural, auditory, or sensor-provided).