ENCODE Intelligent Hardware Design Thrust

Thrust Lead

Mahantesh Halappanavar

Mahantesh Halappanavar

Chief Data Scientist, Data Sciences & Machine Intelligence Group
Mahantesh Halappanavar is a chief data scientist at PNNL, where he serves as the group lead of the Data Science and Machine Intelligence group.

The goal of the Intelligent Hardware Design Thrust is to drastically reduce hardware design time and effort by developing scalable co-optimization methodologies and open-source tools to automate the end-to-end design of energy-efficient hardware systems. Our integrated end-to-end approach will reduce complexity, time, and cost barriers to hardware design, making innovative hardware solutions an achievable reality, and not only to bridge the existing design gaps but also to address the increased complexities brought by chiplets and 3D heterogeneous integration. 

Key Personnel (PNNL)

Antonino Tumeo

Antonino Tumeo

Chief Computer Scientist
Dr. Antonino Tumeo is a Chief Computer Scientist within the Advanced Computing, Mathematics, and Data Division at PNNL.
Marco Minutoli

Marco Minutoli

Data Scientist
Marco Minutoli is a research scientist in the Data Science and Machine Intelligence group at PNNL. His research focuses on the design of parallel graph algorithms for combinatorial scientific computing and hardware/software co-design.
Headshot of Ankur Limaye

Ankur Limaye

Computer Scientist
Ankur Limaye is a computer scientist in PNNL's NextGen Architecture Design group. His research interests include computer architecture, hardware-software co-design, reconfigurable computing, RTL design, and workload characterization.
Vito Giovanni Castellana

Vito Giovanni Castellana

Senior Computer Scientist
Vito Giovanni Castellana is a senior computer scientist with PNNL's Future Computing Technologies group. His research interests include design automation and high-level synthesis, parallel programming, and big data and graph analytics.
Headshot of Nicolas Bohm Agostini

Nicolas Bohm Agostini

Computer Scientist
Nicolas Bohm Agostini is a computer scientist at PNNL. With a strong focus on computer architecture and high-performance computing, Agostini has gained extensive expertise in accelerating machine learning and linear algebra applications.
Ted Fujimoto

Ted Fujimoto

Research Scientist
Ted Fujimoto is a data scientist with the Scalable Analytics team in the Data Sciences and Machine Intelligence group. Fujimoto has a master’s degree in computer and information technology from the University of Pennsylvania.
S M Ferdous

S M Ferdous

Data Scientist
Ferdous is a data scientist in the Data Science and Machine Intelligence group at PNNL. Ferdous’s research interest is in combinatorial scientific computing, where he develops efficient combinatorial algorithms for practical applications.
Portrait photo of Rounak Meyur

Rounak Meyur

Data Scientist
Rounak Meyur is a data scientist with the Data Science and Machine Intelligence group at PNNL. His research interests lie at the intersection of optimization, control, and learning applied to complex networked systems.
Erdal Mutlu

Erdal Mutlu

Computer Scientist
Erdal Mutlu is a computer scientist at PNNL. His research focuses on solving programmability and correctness challenges in high-performance computing (HPC) software, developed for modern architectures.
Natalie Isenberg

Natalie Isenberg

Data Scientist
Natalie Isenberg completed her PhD in chemical engineering at Carnegie Mellon University. Prior to joining PNNL, Isenberg was the inaugural Amalie Emmy Noether Postdoctoral Fellow in Applied Mathematics at Brookhaven National Laboratory.
Nathan Tallent

Nathan Tallent

Chief Computer Scientist
Nathan Tallent is a computer scientist and team leader for the Continuum Computing team in the Future Computing Technologies Group within the Advanced Computing, Mathematics, and Data Division at PNNL.
James Kotary

James Kotary

Post Doctorate RA C
James is a Postdoctoral Associate with the Data Science and Machine Intelligence (DSMI) group at PNNL. His PNNL career began in 2023, as a summer intern, before receiving his PhD at the University of Virginia in 2024.
Siddhartha Shankar Das

Siddhartha Shankar Das

Post Doctoral Research Assistant C
Siddhartha Shankar Das is a postdoctoral researcher at Pacific Northwest National Laboratory. His research interests broadly span across the domains of graph-based machine learning, natural language processing, and cybersecurity.

Key Personnel (Collaborators)

  • Vidya Chhabria, Arizona State University
  • Michael Kinsey, Arizona State University
  • Peter Gadfort, Zero ASIC
  • Andreas Olofsson, Zero ASIC