Maryam Saeed

Islamabad, Paksitan

"Brain is the most sophisticated processor in the universe." - Dr John Donoghue

Working where the creative lines of neuroscience and digital signal processing intersect. My graduate research revolves around pattern recognition and machine learning for Neural Spike Sorting. Experienced in ASIC, FPGA and VLSI design. Currently focused on unsupervised learning (with human neural data) for the applications of neuroprosthetics.

Publication: "Hardware Architecture for On-Chip Unsupervised Online Neural Spike Sorting" 6th International IEEE EMBS Conference on Neural Engineering, 2013, San Diego, USA

(an implantable, autonomous, real-time, computationally inexpensive and on-chip Brain Machine Interface.)

Graduate Researcher at AMSG Lab, SEECS, NUST, Islamabad

Signal Processing Major at SEECS, NUST (MSc - Electrical Engineering)

Teaching Assistant with the SEECS Electrical Engineering Department

IEEE Member and Women In Engineering Member.

Former General Sectretary for the IEEE WIE Pakistan Women in Egineering Forum.

Former Chairperson IEEE WIE NUCES-Lahore Chapter.

  • Work
    • Analog Mixed Signal Group, SEECS, NUST, Islamabad
  • Education
    • School of Electrical Engineering and Computer Science, NUST, Islamabad
    • National University of Computer and Emerging Sciences, FAST-NU, Lahore