Constantine Sideris
Associate Professor of Electrical Engineering
Bio
Constantine Sideris is an Associate Professor of Electrical Engineering at Stanford University. Previously, he was an Assistant Professor at the University of Southern California from 2018 to 2025 and an Associate Professor from 2025 to 2026. He received the B.S., M.S., and Ph.D. degrees with honors from the California Institute of Technology in 2010, 2011, and 2017 respectively. He was a visiting scholar at UC Berkeley’s Wireless Research Center from 2013 to 2014. He was a postdoctoral fellow in the departments of Electrical Engineering and Computing and Mathematical Sciences at Caltech from January 2017 to August 2018.
He was the recipient of an ONR YIP award in 2023, an NSF CAREER award in 2021, an AFOSR YIP award in 2020, an AFOSR DURIP award in 2021, the Caltech Leadership Award in 2017, and an NSF graduate research fellowship in 2010. His research is highly interdisciplinary and bridges the fields of bioengineering, medicine, applied mathematics and computation with electrical engineering and physics.
His research interests include analog/RF integrated circuits, photonic integrated circuits, and computational electromagnetics for biomedical and biosensing applications and wireless communications. His current interests in biomedical devices include portable Point-of-Care in-vitro biosensors, wearable devices for real-time monitoring and analysis of biological signals, ingestible “smart” pills, and implantable devices. His current interests in computational electromagnetics include developing fast algorithms for simulating RF and nanophotonic devices and coupling them with efficient optimization algorithms to achieve the automated design of new, high-performance electromagnetic devices.
Program Affiliations
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Stanford SystemX Alliance
2025-26 Courses
- Computational Electromagnetics
EE 292L (Win) - Design Projects in VLSI Systems I
EE 272 (Win) - Design Projects in VLSI Systems II
EE 372 (Spr) -
Independent Studies (2)
- Directed Studies in Applied Physics
APPPHYS 290 (Spr, Sum) - Special Studies and Reports in Electrical Engineering
EE 391 (Spr)
- Directed Studies in Applied Physics
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Leen Abdul Razzak, Heather Chang -
Postdoctoral Faculty Sponsor
Bernd Hofmann
All Publications
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Fast 3D Nanophotonic Inverse Design Using Volume Integral Equations
ACS PHOTONICS
2026
View details for DOI 10.1021/acsphotonics.5c02232
View details for Web of Science ID 001742514800001
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Rapid Full-Wave Training-Data Synthesis for Deep-Learning Surrogates
IEEE MICROWAVE AND WIRELESS TECHNOLOGY LETTERS
2026
View details for DOI 10.1109/LMWT.2026.3674347
View details for Web of Science ID 001732793100001
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Advanced Electromagnetics Methods for Practical Engineering Applications
IEEE ANTENNAS AND PROPAGATION MAGAZINE
2026; 68 (2): 8-9
View details for DOI 10.1109/MAP.2026.3669643
View details for Web of Science ID 001736194100011
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Near real-time full-wave inverse design of electromagnetic devices.
Nature communications
2026
Abstract
Inverse design enables automating the discovery and optimization of devices achieving performance significantly exceeding that of traditional human-engineered designs. However, existing methodologies to inverse-design electromagnetic devices require computationally expensive and time-consuming full-wave electromagnetic simulation at each iteration or generation of large datasets for training neural-network surrogate models. This work introduces the Precomputed Numerical Green Function method, an approach for ultrafast electromagnetic inverse design. The static components of the design are incorporated into a numerical Green function obtained from a single fully-parallelized precomputation step, reducing the cost of evaluating candidate designs during optimization to only being proportional to the size of the region under modification. A low-rank matrix update technique is introduced that further decreases the cost of the method to milliseconds per iteration without any approximations or compromises in accuracy. This method is shown to have linear time complexity, reducing the total runtime for an inverse design by several orders of magnitude compared to using conventional electromagnetics solvers. The design examples considered demonstrate speedups of up to 16,000x, shortening the design process from multiple days to weeks down to minutes. The approach enables practical and ultrafast design of complex structures that are prohibitively time-consuming for prior inverse design methods.
View details for DOI 10.1038/s41467-026-69477-y
View details for PubMedID 41690914
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A High-Order Fast Boundary Element Method as a Benchmarking Computational Framework for RCS Analysis of PEC Targets
Open Journal of Antennas and Propagation
2026
View details for DOI 10.1109/OJAP.2026.3681846
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A Negative Impedance Converter Design to Enhance Capacitive Conduction Through a Neurostimulator Electrode Interface.
IEEE transactions on bio-medical engineering
2026; 73 (1): 322-332
Abstract
With the growing interest in electric field-induced neuromodulation for clinical applications, optimizing circuitry and stimulation parameters is crucial for effective therapy. Studies have shown successful neuroregeneration, neuroprotection, and neuronal activation in vitro when electric fields exceed a certain threshold. However, clinical translation remains challenging, as stimulation amplitudes are often constrained by patient tolerance. Strategies that enhance charge delivery per phase within safety limits can improve the efficacy of these techniques.This paper presents a method to reduce the electrode-tissue interface time constant by incorporating a negative resistance circuit to lower the series resistance and an RC circuit to reduce the equivalent capacitance in a Thevenin model of the interface. By targeting the capacitive conduction phase with higher amplitudes, a voltage-controlled stimulator can deliver greater charge while remaining within tolerance limits. The proposed circuit models are validated in vivo by assessing the stimulation tolerance of rats at the optic nerve.The proposed circuits connected in series with a two-electrode stimulator effectively reduced the time constant of the current waveform, shifting the magnitude response toward higher frequencies in Bode analysis. In vivo experiments confirmed that animals tolerated, on average, 20% greater charge injection within the first 200 $\mu$s of a rectangular pulse-the interval where capacitive charge transfer dominates over faradaic processes.Enhancing voltage-controlled neurostimulators with external circuits is a promising approach to overcoming amplitude limitations in clinical neurostimulation. As electrotherapy requires a minimum electric field amplitude for efficacy, increasing patient tolerance can improve treatment success rates.
View details for DOI 10.1109/TBME.2025.3581537
View details for PubMedID 40536864
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A Sub-Gram Individual Plant Stress Sensor Tag for Smart Farming
International Solid State Circuits Conference
2026
View details for DOI 10.1109/ISSCC49663.2026.11409026
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Concurrent On-Chip Dual-Mode Substrate-Integrated Waveguide for Sub-THz Applications
IEEE MICROWAVE AND WIRELESS TECHNOLOGY LETTERS
2025; 35 (12): 1945-1948
View details for DOI 10.1109/LMWT.2025.3606525
View details for Web of Science ID 001575931600001
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High order-accurate solution of scattering integral equations with unbounded solutions at corners
JOURNAL OF COMPUTATIONAL PHYSICS
2025; 539
View details for DOI 10.1016/j.jcp.2025.114213
View details for Web of Science ID 001539372000001
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Accelerated Boundary Integral Solution of 3-D Maxwell's Equations Using the Interpolated Factored Green Function Method
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
2025; 73 (6): 3814-3826
View details for DOI 10.1109/TAP.2025.3540288
View details for Web of Science ID 001504138700035
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Exploring the Feasibility of Bidirectional Spinal Cord Machine Interface Through Sensing and Stimulation of Axonal Bundles.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
2025; 33: 2004-2012
Abstract
Spinal cord injury (SCI) patients experience long-term deficits in motor and sensory functions. While brain-machine interface (BMI) has shown great promise for restoring neurological functions after SCI, spinal cord-machine interface (SCMI) offers unique advantages, such as more defined somatotopy and the compact organization of neural elements in the spinal cord. In the current study, we aim to demonstrate the feasibility of sensing and evoking compound action potentials (CAPs) via electrode implantation in spinal cord axonal bundles, an essential prerequisite for advancing SCMI development. To do so, we designed microelectrode arrays (MEA) optimized for recording and stimulation in the spinal cord. For sensory mapping, the MEAs were inserted into the lumbar dorsal column (i.e., the fasciculus gracilis) to determine somatotopic representations corresponding to tactile stimulation across lower body regions and assess proprioceptive signals with varying hip positions. For stimulations, at the L3 level, we delivered electrical pulses both rostrally, along ascending afferent tracts (dorsal column), and caudally, down descending corticospinal tract. We successfully captured axonal CAPs from the dorsal columns with high spatial precision that corresponded to known dermatomal somatotopy. Proprioceptive changes produced by abduction at the hip resulted in modulation of discharge frequency in the dorsal column axons. We demonstrated that stimulation pulses emitted by a caudally placed electrode could be propagated up the ascending fibers and be intercepted by a rostrally placed electrode array along the same axonal tracts. We also confirmed that electrical pulses can be directed down descending corticospinal tracts resulting in specific activations of lower limb muscles. These findings set a critical groundwork for developing closed-loop, bidirectional SCMI systems capable of sensing and modulating spinal cord activity.
View details for DOI 10.1109/TNSRE.2025.3570324
View details for PubMedID 40372852
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Drift-Compensated Magnetic Biosensors Using Concurrent Dual-Frequency Oscillators
IEEE JOURNAL OF SOLID-STATE CIRCUITS
2025; 60 (9): 3164-3173
View details for DOI 10.1109/JSSC.2025.3544256
View details for Web of Science ID 001470453200001
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Frequency-Division Multiplexed Magnetic Induction Based Wireless Wearable Sensor Network for Real-Time Motion Tracking
Symposium on VLSI Technology and Circuits
2025
View details for DOI 10.23919/VLSITechnologyandCir65189.2025.11074912
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Optimal Preconditioners for Hybrid Direct-Iterative H-Matrix Solvers in Boundary Element Methods
IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES
2025; 10: 187-197
View details for DOI 10.1109/JMMCT.2025.3547827
View details for Web of Science ID 001453268500001
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Mitigating Edge Singularities in Point-Based Discretization of Integral Equations: A Study on Mixed-Order Discretization (p-Refinement) Coupled with Local h-Refinement
International Applied Computational Electromagnetics Society Symposium
2025
View details for DOI 10.23919/ACES66556.2025.11052542
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A High-Order Accurate Combined Field Integral Equation Solver for Scattering Problems in Domains with Corners
International Applied Computational Electromagnetics Society Symposium
2025
View details for DOI 10.23919/ACES66556.2025.11052494
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Accelerated Chebyshev-Based Nyström Scheme for Boundary Integral Equation for Electromagnetic Scattering Using Interpolated Factored Green Function
International Applied Computational Electromagnetics Society Symposium
2025
View details for DOI 10.23919/ACES66556.2025.11052567
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Heterogeneous Tolerance Strategies in H-LU Decomposition for Integral Equations
IEEE CNC-USNC-URSI North American Radio Science Meeting
2025
View details for DOI 10.23919/CNC-USNC-URSI64444.2025.11420068
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Fast Inverse Design Using the Precomputed Numerical Green Function Method
International Conference on Electromagnetics in Advanced Applications
2025
View details for DOI 10.1109/ICEAA65662.2025.11306110
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Nyström Discretization of an Integral Equation Based Electromagnetic Scattering Formulation for Composite Structures
International Conference on Electromagnetics in Advanced Applications
2025
View details for DOI 10.1109/ICEAA65662.2025.11306092
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A 3.5×3.5mm2 1.47mW/ch 16-Channel MSS-CMOS Heterogeneous Multi-Modal-Gas-Sensor Chip Stack
International Solid State Circuits Conference
2025
View details for DOI 10.1109/ISSCC49661.2025.10904647
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Concurrent Mode-Division Multiplexed Half-Mode Substrate-Integrated Waveguide Link With Three Independent Data Channels
IEEE JOURNAL OF MICROWAVES
2025; 5 (1): 150-159
View details for DOI 10.1109/JMW.2024.3506285
View details for Web of Science ID 001377386500001
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Design and Implementation of Integrated Dual-Mode Pulse and Continuous-Wave Electron Paramagnetic Resonance Spectrometers.
IEEE transactions on biomedical circuits and systems
2024; 18 (6): 1209-1219
Abstract
Electron paramagnetic resonance (EPR) is a powerful spectroscopic technique that allows direct detection and characterization of radicals containing unpaired electron(s). The development of portable, low-power EPR sensing modalities has the potential to significantly expand the utility of EPR in a broad range of fields, ranging from basic science to practical applications such as point-of-care diagnostics. The two major methodologies of EPR are continuous-wave (CW) EPR, where the frequency or field is swept with a constant excitation, and pulse EPR, where short pulses induce a transient signal. In this work, we present the first realization of a fully integrated pulse EPR spectrometer on-chip. The spectrometer utilizes a subharmonic direct-conversion architecture that enables an on-chip oscillator to be used as a dual-mode EPR sensing cell, capable of both CW and pulse-mode operation. An on-chip reference oscillator is used to injection-lock the sensor to form pulses and also to downconvert the pulse EPR signal. A proof-of-concept spectrometer IC with two independent sensing cells is presented, which achieves a pulse sensitivity of spins (1000 averages) and a CW sensitivity of spins/ and can be powered and controlled via a computer USB interface. The sensing cells consume as little as 2.1mW (CW mode), and the system is tunable over a wide frequency range of 12.8-14.9GHz (CW/pulse). Single-pulse free induction decay (FID), two-pulse inversion recovery, two-pulse Hahn echo, three-pulse stimulated echo, and CW experiments demonstrate the viability of the spectrometer for use in portable EPR sensing.
View details for DOI 10.1109/TBCAS.2024.3465210
View details for PubMedID 39302784
View details for PubMedCentralID PMC11875947
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A High-Order Nystrom-Based Scheme Explicitly Enforcing Surface Density Continuity for the Electric Field Integral Equation
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
2024; 23 (9): 2633-2637
View details for DOI 10.1109/LAWP.2024.3402749
View details for Web of Science ID 001310499400025
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Ultralow Power In-Sensor Neuronal Computing with Oscillatory Retinal Neurons for Frequency-Multiplexed, Parallel Machine Vision.
ACS nano
2024
Abstract
In-sensor and near-sensor computing architectures enable multiply accumulate operations to be carried out directly at the point of sensing. In-sensor architectures offer dramatic power and speed improvements over traditional von Neumann architectures by eliminating multiple analog-to-digital conversions, data storage, and data movement operations. Current in-sensor processing approaches rely on tunable sensors or additional weighting elements to perform linear functions such as multiply accumulate operations as the sensor acquires data. This work implements in-sensor computing with an oscillatory retinal neuron device that converts incident optical signals into voltage oscillations. A computing scheme is introduced based on the frequency shift of coupled oscillators that enables parallel, frequency multiplexed, nonlinear operations on the inputs. An experimentally implemented 3 × 3 focal plane array of coupled neurons shows that functions approximating edge detection, thresholding, and segmentation occur in parallel. An example of inference on handwritten digits from the MNIST database is also experimentally demonstrated with a 3 × 3 array of coupled neurons feeding into a single hidden layer neural network, approximating a liquid-state machine. Finally, the equivalent energy consumption to carry out image processing operations, including peripherals such as the Fourier transform circuits, is projected to be <20 fJ/OP, possibly reaching as low as 15 aJ/OP.
View details for DOI 10.1021/acsnano.4c09055
View details for PubMedID 39140995
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End-to-end design of ingestible electronics
NATURE ELECTRONICS
2024; 7 (2): 102-118
View details for DOI 10.1038/s41928-024-01122-2
View details for Web of Science ID 001159774000003
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Concurrent Dual-Mode Directional Coupler for Mode-Division Multiplexed Multidrop Substrate-Integrated Waveguide-Based Links
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
2024; 72 (8): 4734-4743
View details for DOI 10.1109/TMTT.2024.3355891
View details for Web of Science ID 001168608700002
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A 12 V Compliant Multichannel Dual Mode Neural Stimulator With 0.004% Charge Mismatch and a 4 x <i>V<sub>DD</sub></i> Tolerant On-Chip Discharge Switch in Low-Voltage CMOS
IEEE SOLID-STATE CIRCUITS LETTERS
2024; 7: 283-286
View details for DOI 10.1109/LSSC.2024.3467341
View details for Web of Science ID 001329035100001
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The 2023 IEEE Microwave Theory and Technology Society International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization [Conference Report]
IEEE MICROWAVE MAGAZINE
2024; 25 (1): 82-84
View details for DOI 10.1109/MMM.2023.3321550
View details for Web of Science ID 001122261400004
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A Portable 14GHz Dual-Mode Pulse and Continuous-Wave Electron Paramagnetic Resonance Spectrometer Using a Subharmonic Direct Conversion Receiver
International Solid State Circuits Conference
2024
View details for DOI 10.1109/ISSCC49657.2024.10454384
- GPU Acceleration Using CUDA for Computational Electromagnetics International Applied Computational Electromagnetics Society Symposium 2024
- Inverse Design of Nanophotonic and Radio-Frequency Devices using Fast Maxwell Solvers International Applied Computational Electromagnetics Society Symposium 2024
- Parallel Fast Iterative H-Matrix-Accelerated Locally Corrected Nyström Method with an Unreliable H-matrix Based Preconditioner International Applied Computational Electromagnetics Society Symposium 2024
- Algorithmic Acceleration of the Chebyshev-based Boundary Integral Equation Method for 3D Maxwell Problems using the Interpolated Factored Green Function International Applied Computational Electromagnetics Society Symposium 2024
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Parallel Fast Direct Error-Controlled Scattering Solutions via an H-Matrix-Accelerated Locally Corrected Nystrom Method for the Combined Field Integral Equation
IEEE. 2024: 462-465
View details for DOI 10.1109/IMS40175.2024.10600362
View details for Web of Science ID 001286345600114
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Dual-Channel Half-Mode Substrate-Integrated Waveguide Link Utilizing Mode Division Multiplexing
IEEE. 2024: 632-635
View details for DOI 10.1109/IMS40175.2024.10600190
View details for Web of Science ID 001286345600156
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On Convergence of Iterative Matrix Solver Preconditioned with H-Matrix in Locally Corrected Nyström Discretization of CFIE
2024
View details for DOI 10.23919/INC-USNC-URSI61303.2024.10632219
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Improving Stimulation Tolerance for Implantable Neurostimulators Through Enhanced Capacitive Conduction
INC-USNC-URSI Radio Science Meeting
2024
View details for DOI 10.23919/INC-USNC-URSI61303.2024.10632503
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Data-efficient and Ultra-fast Surrogate Models for Simulating Nanophotonic Power-splitters
International Symposium on Antennas and Propagation
2024
View details for DOI 10.1109/AP-S/INC-USNC-URSI52054.2024.10686685
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Parallel Fast Iterative H-Matrix Locally Corrected Nyström Discretization of Integral Equations with an Inaccurate H-matrix Preconditioner
International Conference on Electromagnetics in Advanced Applications
2024
View details for DOI 10.1109/ICEAA61917.2024.10701730
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A High-Order-Accurate 3D Surface Integral Equation Solver for Uniaxial Anisotropic Media
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
2023; 71 (5): 4262-4271
View details for DOI 10.1109/TAP.2023.3246084
View details for Web of Science ID 000982572700048
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A Boundary Integral Method for 3-D Nonuniform Dielectric Waveguide Problems via the Windowed Green Function
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
2023; 71 (4): 3758-3763
View details for DOI 10.1109/TAP.2023.3241009
View details for Web of Science ID 000974513900086
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Design and Implementation of a Low Power Wireless Frequency-Division Multiplexed Magnetic 3D Localization Scheme With Sub-mm Precision for Capsule Endoscopy Applications
IEEE SOLID-STATE CIRCUITS LETTERS
2023; 6: 37-40
View details for DOI 10.1109/LSSC.2023.3238351
View details for Web of Science ID 000935651300003
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p-Adaptive Quadrature for the Chebyshev-based Boundary Integral Equation Method
International Applied Computational Electromagnetics Society Symposium
2023
View details for DOI 10.23919/ACES57841.2023.10114725
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Ultra-fast Simulation and Inverse Design of Metallic Antennas
International Microwave Symposium
2023
View details for DOI 10.1109/IMS37964.2023.10187915
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Concurrent Multi-Mode Excitation for Mode Division Multiplexing over Substrate Integrated Waveguides
International Microwave Symposium
2023
View details for DOI 10.1109/IMS37964.2023.10188009
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Concurrent Dual Polarization Dielectric Waveguide Interconnect using Inverse Designed Dual-Mode Surface Antenna Launcher
International Symposium on Antennas and Propagation
2023
View details for DOI 10.1109/USNC-URSI52151.2023.10238245
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Nanophotonic Simulation and Inverse Design using Fast High-order Chebyshev-based Nystrom Methods
IEEE. 2023: 287
View details for DOI 10.1109/ICEAA57318.2023.10297746
View details for Web of Science ID 001098971100103
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Fast Inverse Design of 3D Nanophotonic Devices Using Boundary Integral Methods
ACS PHOTONICS
2023; 10 (4): 824-835
View details for DOI 10.1021/acsphotonics.2c01072
View details for Web of Science ID 000877159600001
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Foundry-fabricated grating coupler demultiplexer inverse-designed via fast integral methods
COMMUNICATIONS PHYSICS
2022; 5 (1)
View details for DOI 10.1038/s42005-022-00839-w
View details for Web of Science ID 000772421100001
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A Drift-Compensated Magnetic Spectrometer for Point-of-Care Wash-Free Immunoassays using a Concurrent Dual-Frequency Oscillator
IEEE. 2022: 173-176
View details for DOI 10.1109/ESSCIRC55480.2022.9911522
View details for Web of Science ID 000886608500039
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H-Matrix Accelerated Direct Matrix Solver using Chebyshev-based Nystrom Boundary Integral Equation Method
IEEE. 2022: 16-19
View details for DOI 10.1109/IMS37962.2022.9865659
View details for Web of Science ID 000862782300005
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Wireless Frequency-Division Multiplexed 3D Magnetic Localization for Low Power Sub-mm Precision Capsule Endoscopy
Custom Integrated Circuits Conference
2022
View details for DOI 10.1109/CICC53496.2022.9772802
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A Chebyshev-Based High-Order-Accurate Integral Equation Solver for Maxwell's Equations
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
2021; 69 (9): 5790-5800
View details for DOI 10.1109/TAP.2021.3061145
View details for Web of Science ID 000692232500059
- High-order Chebyshev-based Nyström Methods for Electromagnetics International Applied Computational Electromagnetics Society Symposium 2021
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Planewave Density Interpolation Methods for the EFIE on Simple and Composite Surfaces
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
2021; 69 (1): 317-331
View details for DOI 10.1109/TAP.2020.3008616
View details for Web of Science ID 000627394500030
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High-Order Accurate Integral Equation Based Mode Solver for Layered Nanophotonic Waveguides
IEEE. 2021: 128-131
View details for DOI 10.1109/IMS19712.2021.9574857
View details for Web of Science ID 000852934400034
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Nonlinear nanophotonic devices in the ultraviolet to visible wavelength range
WILEY. 2020: 3781-3804
View details for DOI 10.1515/nanoph-2020-0231
View details for Web of Science ID 000568281600005
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Monolithic High-Mobility InAs on Oxide Grown at Low Temperature
ACS APPLIED ELECTRONIC MATERIALS
2020; 2 (7): 1997-2002
View details for DOI 10.1021/acsaelm.0c00285
View details for Web of Science ID 000557756300023
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High mobility large area single crystal III-V thin film templates directly grown on amorphous SiO<sub>2</sub> on silicon
APPLIED PHYSICS LETTERS
2020; 117 (4)
View details for DOI 10.1063/5.0006954
View details for Web of Science ID 000556919200003
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A Fully Integrated, Dual Channel, Flip Chip Packaged 113 GHz Transceiver in 28nm CMOS supporting an 80 Gb/s Wireless Link
Custom Integrated Circuits Conference
2020
View details for DOI 10.1109/CICC48029.2020.9075890
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Ultrafast Simulation and Optimization of Nanophotonic Devices with Integral Equation Methods
ACS PHOTONICS
2019; 6 (12): 3233-3240
View details for DOI 10.1021/acsphotonics.9b01137
View details for Web of Science ID 000503918700024
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Design and Implementation of Reference-Free Drift-Cancelling CMOS Magnetic Sensors for Biosensing Applications
IEEE JOURNAL OF SOLID-STATE CIRCUITS
2018; 53 (11): 3065-3075
View details for DOI 10.1109/JSSC.2018.2865480
View details for Web of Science ID 000449108400006
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A 0.3ppm Dual-Resonance Transformer-Based Drift-Cancelling Reference-Free Magnetic Sensor for Biosensing Applications
IEEE. 2018: 190-+
View details for Web of Science ID 000459205600075
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Binary particle swarm optimized 2 × 2 power splitters in a standard foundry silicon photonic platform.
Optics letters
2016; 41 (16): 3868-71
Abstract
Compact power splitters designed ab initio using binary particle swarm optimization in a 2D mesh for a standard foundry silicon photonic platform are studied. Designs with a 4.8 μm×4.8 μm footprint composed of 200 nm×200 nm and 100 nm×100 nm cells are demonstrated. Despite not respecting design rules, the design with the smaller cells had lower insertion losses and broader bandwidth and showed consistent behavior across the wafer. Deviations between design and experiments point to the need for further investigations of the minimum feature dimensions.
View details for DOI 10.1364/OL.41.003868
View details for PubMedID 27519110
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Automated Design of a 3D Printed Waveguide Surface Coupler
IEEE. 2015: 318-319
View details for Web of Science ID 000371401400156
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Design and implementation of an integrated magnetic spectrometer for multiplexed biosensing.
IEEE transactions on biomedical circuits and systems
2013; 7 (6): 773-84
Abstract
Magnetic spectroscopy allows for characterization of the magnetic susceptibility of magnetic beads across a broad frequency range. This enables differentiation and quantification of multiple beads of varying types concurrently present in the active volume of a sensor's surface. A magnetic spectrometer can be used for multi-probe tagging and identification akin to multi-color fluorescent bio-sensing. We propose a new sensing methodology to perform magnetic spectroscopy and analyze various important design parameters such as SNR and gain uniformity. We present a proof-of-concept design of a fully integrated CMOS magnetic spectrometer that can detect, quantify, and characterize magnetic materials in the 1.1 GHz to 3.3 GHz frequency range, where we demonstrate magnetic multiplexing capability using a mixture of two different kinds of magnetic beads. The sensor consumes less than 2 mW of DC power within the whole frequency range, requires no external biasing magnetic fields, is implemented in a standard CMOS process, and can be powered and operated completely from a USB interface. The magnetic spectrometer not only increases the throughput and multiplexing of biosensing experiments for a given sensor area, but also can enable additional applications, such as magnetic flow cytometry and signal-collocation assays of multiple probes.
View details for DOI 10.1109/TBCAS.2013.2297514
View details for PubMedID 24473542
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An Integrated Magnetic Spectrometer for Multiplexed Biosensing
IEEE. 2013: 300-U1168
View details for Web of Science ID 000366612300126
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A CMOS Broadband Power Amplifier With a Transformer-Based High-Order Output Matching Network
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2010: 2709-2722
View details for DOI 10.1109/JSSC.2010.2077171
View details for Web of Science ID 000285052300019
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A frequency-shift based CMOS magnetic biosensor with spatially uniform sensor transducer gain
Custom Integrated Circuits Conference
2010
View details for DOI 10.1109/CICC.2010.5617603
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An Ultrasensitive CMOS Magnetic Biosensor Array with Correlated Double Counting Noise Suppression
IEEE. 2010: 616-619
View details for Web of Science ID 000288196500156
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Effects of Charcoal Matter and Effective Microorganism on Compost Maturity of Green Waste
edited by Zhang, Y.
LONDON SCIENCE PUBLISHING LTD. 2010: 44-48
View details for DOI 10.1109/ISSCC.2010.5434059
View details for Web of Science ID 000290883200010
https://orcid.org/0000-0002-3042-4889