Dr Shariful Alam

Research

Biography

Dr. S. Alam takes a position of a postdoctoral researcher at Electronics and Data Acquisition and Processing group. Before coming to Poland, he was involved as a faculty member at Khulna University of Engineering and Technology (KUET) in Bangladesh.

Dr. S. Alam obtained his Bachelor’s degree (2003) in Electrical and Electronic Engineering from Chittagong University of Engineering & Technology. Later, he completed the Master of Science in Telecommunication Engineering (2010) from University of Trento, Italy where he obtained academic merit scholarship (Premio di Studio di Merito) for outstanding academic performance. His doctoral dissertation “Opportunistic Spectrum Access in Wideband Cognitive Radios Via Compressive Sensing” was conducted in consultation with Prof. Carlo S. Regazzoni at University of Genoa (Italy) and examines the efficient usages of digital signal processing schemes for Cognitive Radio Networks.

In the course of his doctoral program, Dr. S. Alam was involved as a part-time researcher for the two European commission projects known as Cognitive Radio for Dynamic Spectrum Management (CORASMA) and European Secure Software defined Radio (ESSOR). He worked for the testing of the architecture and development platform of electronic radio systems used for military purposes and preparing reports to deliver to other counterparts/institutions involved with the project.

Main scientific interests:

Dr S. Alam is passionate about quality education as well as research. He is good at Matlab and Python programming for advanced signal processing. He has knowledge on adaptive noise cancelling (ANC) and noise isolating mechanisms and implemented those models through Simulink. Dr. S. Alam’s interests include acoustic signal processing, data acquisition and processing from sensors and actuators, acoustic sensors, compressive sensing, Wireless Sensor Networks and Internet of Things (IoTs) and spectrum sensing for wideband cognitive radios.

The projects he is currently involved in include the development of seismic data analysis tools, a mobile seismic and environmental sensor, infrasound monitoring for gravitational wave observatories, and investigation of fiber networks as seismic sensors.

Degrees and titles