Institute of Communications and Connected Systems


Dr Mohammad Ashraful Anam

Profile picture of Mohammad Ashraful Anam

Research Associate

E: uceeman@ucl.ac.uk
T: +44(0)20 7679 2000 (int. N/A)

Research group
Information and Communication Engineering

Error-tolerant computing | High-performance computing | Cloud computing | Error detection & correction | Approximate computing


Mohammad Ashraful Anam obtained his BSc degree in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh in 2003 and the MSc degree from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh in 2008. He joined the CISG (Communications and Information Systems Group) at the Department of Electronic and Electrical Engineering (EEEng) of the University College London (UCL) in 2010, where he completed his Ph.D. degree in 2014 in the field of throughput scaling of digital signal processing based on desired precision under the supervision of Dr. Yiannis Andreopoulos. He is currently working as a research associate in the same university.

In his research work, he is investigating novel ways for: (i) substantially accelerating computations (or reducing energy consumption) when pursuing approximate results; (ii) allowing for aggressive frequency or voltage scaling in hardware while ensuring that the obtained results are reliable.

Within the first part, he has derived for the first time a systematic approach to scale energy and processing cycles when computing approximate convolution realizations via state-of-the-art numerical libraries, such as Intel Integrated Performance Primitives (IPP). This approach has demonstrated up to 3-fold improvement in processing throughput against the current state-of-the-art and, for this reason, it was published in the IEEE Transactions on Multimedia as a full paper. This work also led to a 2012 summer internship at ARM (Cambridge).

Within the second part, he has recently invented a new approach for highly-reliable linear, sesquilinear and bijective (LSB) processing of integer data streams that is based on the novel concept of numerical entanglement. This work led to a patent application, sponsored by UCLBusiness, UCL's wholly-owned subsidiary responsible for commercializing inventions of UCL researchers.

Visit Mohammad's Google Scholar page