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My research lab at ASU is called Advent Lab. A full website for the lab is coming soon. In the meantime, please see the research focus, themes and available positions below.Â
Research Focus
Research Focus
Developing computer systems that can efficiently process modern workloads (e.g. Machine Learning), with a special focus on reconfigurable systems
Research Themes
Research Themes
Theme #1: FPGA architecture, Novel fabrics beyond traditional FPGAs, 3D FPGAs, Chiplet-based FPGAs, CGRA architectures, Improving the programmability of reconfigurable substrates
Theme #2: Energy-efficient hardware for machine learning (ML), Domain-specific acceleration of emerging workloads, Hardware-Software Co-Design, Sustainable acceleration, Multi-FPGA systems
Theme #3: Non-traditional computing, Data-centric computing, Processing in/near/using memory, Processing on the fly (in network)
Theme #4: ML applications like using ML to accelerate EDA/CAD, developing ML systems for IoT/edge/cloud (e.g. healthcare, smart cities), etc.
Openings
Openings
I am looking for dedicated and motivated students who intend to pursue a Ph.D. degree at ASU.
Required Qualifications
Bachelor's degree in computer engineering or related fields
Basic knowledge of computer architecture, digital design and FPGAs
Hands-on experience with hardware description languages (e.g. VHDL, Verilog) and programming languages (e.g. C, Python)
Good verbal and written communication skills
Preferred Qualifications
Master's degree in computer engineering or related fields
Basic knowledge of Machine Learning or Deep Learning hardware and/or software
Experience with FPGA architecture, hardware acceleration, computer performance analysis
Some publication(s) in peer-reviewed conferences/journals
If you are interested, please contact me at aman.kbm@asu.edu with the materials mentioned below:
Application Materials
Curriculum Vitae (CV) or Resume
Copy of Bachelor's and/or Master's transcript
A short statement (1-2 paragraphs) of your research interests and/or background
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