About

Simrat Anne Kaur Kang is an Assistant Professor in Asian American Studies at the University of Illinois. Her research focuses on themes such as political ecology, violence, feminist and collaborative methodologies, and environmental entanglements within Asian American contexts. Kang's scholarly work explores complex forms of reckoning and the intersections of arts and humanities with ecological and social justice issues. She has contributed to the academic discourse through various peer-reviewed articles, chapters, and editorial work, including editing a special issue on Environmental Entanglements in Asian America for the Journal of Asian American Studies. Kang's research also engages with topics of refugee resilience, mutual aid, abolition, and transnational feminisms, reflecting a commitment to antiracist and decolonizing feminist praxis. Her interdisciplinary approach integrates cultural, environmental, and political dimensions to address pressing social issues affecting Asian American communities.

Research topics

• Computer Science
• Artificial Intelligence
• Metallurgy
• Chemistry
• Inorganic chemistry
• Organic chemistry
• Materials science
• Nanotechnology
• Physical chemistry
• Botany
• Biology
• Real-time computing
• Engineering
• Simulation
• Biochemistry
• Chemical engineering

Selected publications

• Genotypic diversity and growth responses to temperature and salinity variations of Coolia malayensis (Gonyaulacales, Dinophyceae) in Chinese coastal waters

  Harmful Algae · 2025-08-15

  articleOpen access

  • Morphological analysis alone cannot differentiate C. malayensis genotypes. • LSU phylogenetic analysis identifies three distinct C. malayensis genotypes in Chinese waters. • MALDI-TOF mass spectrometry effectively differentiates genotypes at the proteomic level. • Genotype 1 is adapted to temperate conditions, while Genotype 2 thrives in warmer, saline environments. Coolia malayensis is a benthic dinoflagellate widely distributed in tropical to subtropical coastal waters, with some strains exhibiting cytotoxicity, indicating potential ecological and toxicological roles. This study investigated the genetic diversity and adaptability of C. malayensis strains across diverse environmental conditions in Chinese coastal waters. Three distinct genotypes, Genotype 1 (strain DF553), Genotype 2 (DF630), and Genotype 3 comprising strains DF307, DF316, and DF364, were confirmed by the large subunit (LSU) ribosomal DNA phylogenetic analysis, with a protein profiling by the matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry providing supporting evidence for the phenotypic differentiations. The results of growth experiments conducted under varying temperature (15°C to 30°C) and salinity (15 to 35) conditions demonstrated genotype-specific environmental preferences: strain DF553 exhibited an optimal growth at 25°C and 30 salinity, strain DF630 at 30°C and 30, while strains DF307, DF316, and DF364 displayed a wider range of adaptive capacities. These results emphasized the ecological flexibility and adaptive potential of C. malayensis , indicating its ability to thrive in diverse marine environments. The study underscores the importance of genotypic variation in predicting species responses to environmental fluctuations, offering valuable insights for marine ecosystem management and mitigation of harmful algal blooms.

  PublisherDOI

• Corrigendum to “An investigation of heat transfer of system-on-chip using finite element analysis and optimized graph convolution networks” [Case Stud. Therm. Eng. 75 (2025) 107142]

  Case Studies in Thermal Engineering · 2025-11-26

  articleOpen access
  PublisherDOI

• An investigation of heat transfer of system-on-chip using finite element analysis and optimized graph convolution networks

  Case Studies in Thermal Engineering · 2025-09-27 · 1 citations

  articleOpen access

  This study investigates the heat transfer of a system-on-chip (SoC) using finite element (FE) analysis and a graph convolution network (GCN). The computed temperature data are compared and validated using experimental infrared (IR) data. The predicted data successfully capture the heat transfer at interfaces between various components and locations of heat sources within SoC architectures. Parametric studies of the FE simulation are performed to generate a GCN training database. A hyperparameter optimization is implemented to design an accelerated GCN with high predictive performance. In addition, a residual-connected model architecture is incorporated to further increase the accuracy of the model. A comparison among the experimental, computed, and predicted data is performed across the SoC, which indicates that the applied GCN model is very robust and captures the thermal behavior adequately.

  PublisherDOI

• The rectangle condition does not detect the strong irreducibility

  ArXiv.org · 2025-09-15

  preprintOpen access

  The rectangle condition for a genus $g$ Heegaard splitting of a 3-manifold, defined by Casson and Gordon, provides a sufficient criterion for the Heegaard splitting to be strongly irreducible. However it is unknown whether there exists a strongly irreducible Heegaard splitting which does not satisfy the rectangle condition. In this paper we provide a counterexample of a genus 2 Heegaard splitting of a 3-manifold which is strongly irreducible but fails to satisfy the rectangle condition. The way of constructing such an example is to take a double branched cover of a 3-bridge decomposition of a knot in $S^3$ which is strongly irreducible but does not meet the rectangle condition. This implies that the rectangle condition does not detect the strong irreducibility. As our next goal, we expect that this result provides the weaker version of the rectangle condition which detects the strong irreducibility.

  PublisherOA PDFDOI

• An Investigation of Heat Transfer of System-on-Chip Using Finite Element Analysis and Optimized Graph Convolution Networks

  SSRN Electronic Journal · 2025-01-01

  preprintOpen access
  PublisherDOI

• Design Optimization to Secure Multiple Arcing Time Interruption Performance of Self-Blast Gas Circuit Breakers

  The Transactions of The Korean Institute of Electrical Engineers · 2024-06-18

  article

  Recently, the focus has been on the development of self-blast gas circuit breakers with low operating force and compact design. The self-blast gas circuit breaker uses the high-temperature energy from the arc to nozzle ablation and increase the pressure in the heating chamber. In order to predict the interruption performance of a developed product, heat gas flow analysis is essential and must be accompanied by judgment criteria according to test type. In this paper, based on short line fault (SLF) test data of a 170kV 50kA 60Hz self-blast gas circuit breaker, the interrption performance index for each arcing time is derived and the critical point is secured. The index is calculated based on the pressure rise and heat gas emissions that are important for interrpution performance, and a design plan that satisfies interrpution performance at all arcing times is presented step by step. Depending on the process, a design that can satisfy interrpution performance at all arcing times is derived. Reliability is secured by comparing the analysis results and blocking performance indices of the proposed candidates and the reference model and verifying them through testing.

  PublisherDOI

• The Discovery and Characterization of a Novel Microalgal Strain, Picochlorum sp. KCTC AG61293, with Potential for α-Linolenic Acid Production

  Journal of Marine Science and Engineering · 2024-01-30 · 6 citations

  articleOpen access1st author

  Microalgae are highly valued for their rapid biomass production and metabolite synthesis, as well as their abundance of beneficial compounds. They have a variety of applications, including serving as the primary ingredient in biofuels, functional foods, and cosmetics. The genus Picochlorum, which was established to represent the unique characteristics of “Nannochloris-like” algae, exhibits rapid growth and a high salt tolerance. The morphology, molecular phylogeny, and fatty acid composition of an unspecified Picochlorum strain KCTC AG61293 found in Korean coastal waters were investigated. The strain exhibited a unique cell morphology and reproduction type compared to other Picochlorum species, as determined using light microscopy, fluorescence microscopy, and field emission scanning electron microscopy (FE-SEM). The vegetative cells were elongated and cylindrical in shape, underwent binary fission, and possessed a parietal chloroplast. A molecular phylogenetic analysis using nuclear small subunit ribosomal RNA sequences showed that Picochlorum sp. (KCTC AG61293) belongs to the Picochlorum clade and is closely related to the genus Nannochloris. Compared to other reference species, Picochlorum sp. (KCTC AG61293) had higher levels of saturated fatty acids (SFAs) and alpha-linolenic acid (ALA). The increased levels of SFAs and ALA suggest that Picochlorum sp. (KCTC AG61293) may be a promising candidate for biofuel production and other industrial uses.

  PublisherOA PDFDOI

• Backpropagating Errors Through Memristive Spiking Neural Networks

  2023-05-21 · 5 citations

  article

  We present a fully memristive spiking neural network (MSNN) consisting of novel memristive neurons trained using the backpropagation through time (BPTT) learning rule. Gradient descent is applied directly to the memristive integrate-and-fire (MIF) neuron designed using analog SPICE circuit models, which generates distinct depolarization, hyperpolarization, and repolarization voltage waveforms. Synaptic weights are trained by BPTT using the membrane potential of the MIF neuron model and can be processed on memristive crossbars. The natural spiking dynamics of the MIF neuron model are fully differentiable, eliminating the need for gradient approximations that are prevalent in the spiking neural network literature. Despite the added complexity of training directly on SPICE circuit models, we achieve 97.58% accuracy on the MNIST test set and 75.26% on the Fashion-MNIST test set, which is considerably high among all fully MSNNs with small-scale neural networks.

  PublisherDOI

• A new omega-3 rich euglenoid Eutreptiella sp. from the Korean coastal waters

  Algal Research · 2023 · 12 citations

  1st authorCorresponding
  • Biology
  • Botany
  • Biochemistry
  PublisherDOI

• 3-Bridgeness under adding crossings to alternating 3-bridge knots in a 3-bridge representation

  Journal of Knot Theory and Its Ramifications · 2023-10-15

  articleSenior authorCorresponding

  In [B. Kwon and S. Kang, Rectangle conditions and families of 3-bridge prime knots, Topol. Appl. 291 (2021) 107453], using the set [Formula: see text] of all essential alternating rational 3-tangles for positive integer [Formula: see text], the authors showed that all knot diagrams in the numerator closure set [Formula: see text] and the denominator closure set [Formula: see text] with [Formula: see text] are 3-bridge prime knot diagrams. In this paper, for [Formula: see text] we construct a set [Formula: see text] of additions of alternating rational tangles in [Formula: see text]. The set [Formula: see text] generalizes [Formula: see text] and contains it as a subset for some [Formula: see text]. We show that any closure set [Formula: see text] on [Formula: see text] so that the resulting diagrams are reduced and alternating knot diagrams represent alternating 3-bridge prime knot diagrams. Since a tangle diagram in [Formula: see text] is constructed inductively from a tangle diagram in [Formula: see text] by adding only one crossing positively, the result of this paper supports the conjecture that 3-bridge property is preserved under one-crossing alternating addition positively to alternating 3-bridge knots in 3-bridge representations.

  PublisherDOI

Frequent coauthors

• Yusuf Leblebici

  Sabancı Üniversitesi

  24 shared

• Yongmo Kim

  Hanyang University

  17 shared

• J.J. Morikuni

  University of Illinois Urbana-Champaign

  14 shared

• K. W. Kim

  Daegu Gyeongbuk Institute of Science and Technology

  13 shared

• Chin-Chi Teng

  Cadence Design Systems (United States)

  11 shared

• C.H. Diaz

  Taiwan Semiconductor Manufacturing Company (United States)

  11 shared

• Sachin S. Sapatnekar

  11 shared

• Seong‐Ook Jung

  Yonsei University

  10 shared

Awards & honors

• Doctoral Dissertation Fellowship, Graduate School, Universit…
• Global Food Security Fellowship, Interdisciplinary Center fo…
• Excellence in Teaching Faculty Award recipient, Bard Early C…
• Multicultural Research Award recipient, Institute for Divers…
• Graduate Research Partnership Fellow, Dept. of Gender, Women…