Dr. rer. nat. Dino Ruić
Scientist / Software Engineer / Hardware Engineer at Google Deepmind
working to improve Google's AI hardware.
Resources
Experience
2024-
Scientist / Staff Software Engineer – Google Deepmind, Mountain View
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Improving Google hardware for AI
2020-2024
Tech Lead – Google X, Mountain View
-
Pathfinding and research of key technologies with a team of
scientists, engineers, and business strategists to create
Alphabet-scale businesses
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Implementation of prototypes in the domains of electronic design
automation and semiconductor manufacturing using high-performance
computing methods combined with a broad set of combinatorial and
continuous optimization techniques
-
Advising on engineering and scientific questions in domains such as
photonics; biochemistry; novel device physics; nanofabrication;
machine learning; hardware acceleration; physics-based
model-building, simulation, validation, and optimization
2018-2019
Project Lead for Nanopore Transistors – imec, Leuven
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Lead development of a novel biosensor device with a
multi-million euro budget
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Coordination with an integration team to process on the
full 300mm semiconductor pilot line at imec
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On-time delivery of relevant simulation results to guide
the design and process development
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Drawing of layouts for lithography masks, including BEOL
and microfluidic channels
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Conception and planning of experiments and setups for
real-time high-frequency low-noise measurements
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Introduction and leadership of weekly scientific meetings
to discuss and coordinate the progress of the department’s
efforts around nanoscale biosensors
2017-2019
Postdoc – imec, Leuven
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Developed the world’s first 3D numerical solver for
biosensors based on semiconductors and flowing
electrolytes
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Developed an experimentally verified model for the dwell
time of molecules trapped in biological nanopores
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Developed an experimentally verified model for the pH
sensitivity of nanoscale ISFETs
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Developed circuit level noise models for experimental
setups
2011-2017
Doctorate (summa cum laude) – RWTH Aachen University
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Developed the world’s first numerical solver based on the
Boltzmann transport equation that is capable of modeling the
noise of nanoscale transistors
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Developed RF and noise models on device and circuit level
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Gained expertise in software development, computer
science, and system administration
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Awarded the Borcher’s Badge of the RWTH Aachen University
for graduating with the highest distinction
2006-2011
Diploma in Physics – University of Bonn
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Specialization on theoretical high energy physics and
quantum field theory
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Gained working knowledge of a wide range of mathematical
fields to easily understand and construct complex physical
models
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Awarded scholarships by the Bonn-Cologne Graduate School
and the Bonn International Graduate School
Professional Community Service
Review of Scientific Journal Articles
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Transactions on Electron Devices, IEEE
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Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE
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Transactions on Reconfigurable Technology and Systems, ACM
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Solid State Electronics, Elsevier
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Analytical Chemistry, ACS Publications
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Applied Sciences, MDPI
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Photonics, MDPI
Review of Scientific Conference Submissions
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International Symposium on Field-Programmable Gate Arrays,
ACM/SIGDA
Patents
2023
WO2023158565A1:
Automated transistor-level placement for design of integrated circuits
2023
WO2023075923A1:
Machine learning based layout nudging for design rule compliance
2023
US20230214571A1:
Voxel-based electromagnetic-aware integrated circuit routing
Publications
2024
Chen-Hao Hsu, Xiaoqing Xu, Hao Chen, Dino Ruic, and David Z Pan,
"TransPlace: A Scalable Transistor-Level Placer for VLSI Beyond
Standard-Cell-Based Design,"
29th Asia and South Pacific Design Automation Conference
(ASP-DAC),
2024,
pp. 312–318
2022
K. Martens, D. Barge, L. Liu, S. Santermans, C. Stoquart, J. Delport,
K. Willems, D. Ruic, S. Marion, J. Gevers, B. D. Bois, A. Andrei, L.
Lagae, M. Veugelers, A. S. Verhulst, S. Severi, and P. Van Dorpe,
"The Nanopore-FET as a high-throughput barcode molecule reader for
single-molecule omics and read-out of DNA digital data storage,"
in 2022 International Electron Devices Meeting (IEDM),
2022,
pp. 17.4.1–17.4.4
2022
A. S. Verhulst, D. Ruić, K. Willems, P. Van Dorpe,
"Boosting the Sensitivity of the Nanopore Field-Effect Transistor to
Translocating Single Molecules,"
IEEE Sensors Journal,
vol. 22,
no. 6,
pp. 5732–5742,
2022, doi:10.1109/JSEN.2022.3149345
2020
K. Willems, D. Ruić, F. Lucas, U. Barman, N. Verellen, J. Hofkens, G.
Maglia, and P. van Dorpe,
"Accurate modeling of a biological nanopore with an extended continuum
framework,"
Nanoscale,
vol. 12,
no. 32,
pp. 16775–16795,
2020
2020
K. Willems, D. Ruić, A. Biesemans, N. S. Galenkamp, P. Van Dorpe, and
G. Maglia,
"Electrophoretic Trapping of a Single Protein Inside a Nanopore",
Biophysical Journal,
vol. 118,
no. 3,
pp. 305a,
2020
2019
K. Willems, D. Ruić, A. Biesemans, N. S. Galenkamp, P. Van Dorpe, and G. Maglia,
"Engineering and modeling the electrophoretic trapping of a single
protein inside a nanopore",
ACS Nano,
vol. 13,
no. 9,
pp. 9980–9992,
2019
2017
N. Maziar, D. Ruić, and C. Jungemann,
"Small-signal analysis of silicon nanowire transistors based on a
Poisson/Schrödinger/Boltzmann solver",
2017 International Conference on Simulation of Semiconductor
Processes and Devices (SISPAD),
pp. 65¨68,
2017
2017
Z. Kargar, D. Ruić, T. Linn, and C. Jungemann,
"Simulation of THz emission by plasma waves in GaAs devices based on
the Boltzmann transport equation",
2017 International Conference on Simulation of Semiconductor
Processes and Devices (SISPAD),
pp. 301–304,
2017,
2017
Z. Kargar, D. Ruić, T. Linn, and C. Jungemann,
"Simulation of THz emission based on plasma wave excitation",
2017 IEEE MTT-S International Conference on Numerical
Electromagnetic and Multiphysics Modeling and Optimization for RF,
Microwave, and Terahertz Applications (NEMO),
pp. 188–190,
2017
2017
Z. Kargar, D. Ruić, T. Linn, and C. Jungemann,
"Numerical simulation of plasma waves in a quasi-2D electron gas based on
the Boltzmann transport equation",
Journal of Computational Electronics,
pp. 1--10,
2017
2016
D. Ruić and C. Jungemann,
"Microscopic noise simulation of long- and short-channel nMOSFETs by a
deterministic approach",
Journal of Computational Electronics,
vol. 15,
no. 3,
pp. 809–819,
2016
2016
O. Dieball, Z. Kargar, D. Ruić, C. Jungemann,
"A self-consistent solution of the Poisson and Boltzmann equations for
electrons in graphene with a deterministic approach",
2017 International Conference on Simulation of Semiconductor
Processes and Devices (SISPAD),
pp. 205–208,
2016
2016
Z. Kargar, T. Linn, D. Ruić, and C. Jungemann,
"Investigation of transport modeling for plasma waves in THz",
IEEE Transactions on Electron Devices,
vol. 63,
no. 11,
pp 4402–4408,
2016
2015
D. Ruić and C. Jungemann,
"Small signal and microscopic noise simulation of an nMOSFET by a
self-consistent, semi-classical and deterministic approach",
2015 International Conference on Simulation of Semiconductor
Processes and Devices (SISPAD),
pp. 20–23,
2015
2015
D. Ruić and C. Jungemann,
"Numerical aspects of noise simulation in MOSFETs by a
Langevin-Boltzmann solver",
Journal of Computational Electronics,
vol. 14,
no. 1,
pp 21–36,
2015
2015
Z. Kargar, D. Ruić, and C. Jungemann, "A self-consistent solution of
the Poisson, Schrödinger and Boltzmann equations for GaAs devices
by a deterministic solver",
2015 International Conference on Simulation of Semiconductor
Processes and Devices (SISPAD),
pp 361–364,
2015
2013
D. Ruić and C. Jungemann,
"A self-consistent solution of the Poisson,
Schrödinger and Boltzmann equations by a full Newton-Raphson
approach for nanoscale semiconductor devices",
2013 International Conference on Simulation of Semiconductor
Processes and Devices (SISPAD),
pp 356–359,
2013
2011
D. Ruić, M. Mai, and U.-G. Meißner,
"η-Photoproduction in a gauge-invariant chiral unitary framework",
Physics Letters B,
vol. 704,
no. 5,
pp. 659–662,
2011
