| 2023/11 | png | Chinthak | Murali | astronomy | 2 | 2023 | | Studies various astrophysical processes and signals such as gravitational waves, fast radio bursts and pulsar signals using the tools of Machine Learning and AI. | | | chinthak-murali-a54463255 | | | | |
| 2023/11 | jpg | Shuangqi | Li | systems engineering | 2 | 2023 | | Explores AI-enabled development of high-performance electrochemical energy storage systems for transportation electrification and decarbonization. | | | | 1QoN1ugAAAAJ | | | |
| 2023/11 | jpg | Yu | Zhou | integrative plant science | 1 | 2022 | | Investigates the response of terrestrial ecosystems to climate change across both time and space, as well as quantifying and predicting their role in the global carbon budget using process-based modeling, machine/deep learning, and data from field measurements and satellite imagery. | https://sites.google.com/view/yu-zhou | | | LUfxjnEAAAAJ | 0000-0002-5544-8342 | | Yu-Zhou-3 |
| 2023/11 | png | Chia-Hao | Lee | applied and engineering physics | 2 | 2023 | | Explores the fusion of AI with electron microscopy to achieve sub-angstrom resolution characterization of quantum and energy materials. | | | | Pv9sqLoAAAAJ | | | |
| 2023/11 | jpg | Feng | Tao | ecology and evolutionary biology | 2 | 2023 | | Studies process-informed AI and explores enhanced rock weathering to promote soil inorganic carbon as a scalable carbon dioxide removal method. | https://phxtao.github.io/ | | | | | | |
| 2023/11 | jpg | Ling-Wei | Kong | computational biology | 2 | 2023 | | Applies machine learning to the complex nonlinear dynamics in ecology and climate systems, and explores machine-learning-assisted modeling in animal behavior and neuropsychological processes. | https://sites.google.com/view/ling-wei-kong/home | | | | | | |
| 2023/11 | jpg | Imanol | Miqueleiz | natural resources and the environment | 2 | 2023 | | Studies global freshwater conservation patterns and threat patterns to optimize conservation measures, as well as historical and spatial patterns of freshwater diversity. | https://imiqueleiz.weebly.com/ | | | | | | |
| 2023/11 | jpg | Krishnanand | Mallayya | physics | 2 | 2023 | | Harnesses AI to bridge the gap between theory, experiments, and numerical simulations, in the areas of condensed matter physics, quantum materials, and quantum dynamics. | | | | T0SMs4IAAAAJ | | | |
| 2023/11 | jpg | Xin | Wang | chemistry | 1 | 2022 | | Studies physics-informed deep learning and computer vision for soft materials, inorganic crystals and small molecule design. | | | xin-wang-464aa4216 | NwEhwkcAAAAJ | | | |
| 2023/11 | jpeg | Bu | Zhao | civil and environmental engineering | 2 | 2023 | | Uses data-driven environmental system analysis to analyze and mitigate the environmental impacts of human activities in the context of climate change and carbon neutrality goals. | | | | kEr2qckAAAAJ | | | |
| 2023/11 | jpg | Vikram | Thapar | chemical and biomolecular engineering | 1 | 2022 | 2023 | Develops efficient methodologies using computer simulations to identify specific chemical compounds that can self-assemble into desirable, geometrically complex nanostructures. | | | | _pk1DmQAAAAJ | | | |
| 2023/11 | jpg | Eliot | Miller | ornithology | 1 | 2022 | | Explores the feasibility of using automated acoustic identifications to inform species distribution models. | https://eliotmiller.weebly.com/ | https://www.birds.cornell.edu/home/staff/eliot-miller/ | | | | | |
| 2023/11 | jpg | Zhongmou | Chao | chemical and biomolecular engineering | 2 | 2023 | | Uses synthetic biology, bioelectronics, and machine learning to make the next generation of AI sensors. | | | zhongmou-chao-8887517b | | | | |
| 2023/11 | jpeg | Sebastian | Heilpern | public and ecosystem health | 2 | 2023 | | Focuses on understanding the causes and consequences of biodiversity change on ecosystem functions and services, with a particular emphasis on aquatic biodiversity, energy and food systems. | https://sebheilpern.weebly.com/ | | | | | | |
| 2023/11 | jpg | Benjamin | Decardi-Nelson | systems engineering | 1 | 2022 | | Develops novel computational tools to improve the analysis, design and operation of complex systems and processes, with sustainability as the overarching goal. | https://decardinb.github.io | | decardinb | bM29EVMAAAAJ | | | |
| 2023/11 | png | Roy | Moyal | psychology | 2 | 2023 | | Studies sensory systems (olfaction and vision), neuromorphic computing, and spiking neural network algorithms. | | | roy-moyal | | | | |
| 2023/11 | jpg | Fan | Wu | applied and engineering physics | 2 | 2023 | | Focuses on comprehending and harnessing the inherent complexity within nonlinear multimode configurations and quantum systems. | | | | Fuwe_nEAAAAJ | | | |
| 2023/11 | jpg | Xin | Sun | chemical and biomolecular engineering | 2 | 2023 | | Uses AI to promote the sustainability of energy-climate-material sustainability, with a focus on the energy storage technology. | | | | n-fRvd8AAAAJ | | | |
| 2023/11 | jpg | Ralitsa | Todorova | neurobiology and behavior | 1 | 2022 | | Deploys machine learning methods to study mental imagery in mice, and decodes neuronal activity to uncover the neural coding underlying cognitive processes. | | | | zELQA00AAAAJ | | | |
| 2023/11 | jpg | Tianyu | Wang | applied and engineering physics | 1 | 2022 | 2023 | Studies how physical systems perform computing, especially for AI. | https://tyw-lab.github.io | | | lqIvJCgAAAAJ | | | |
| 2023/11 | jpg | Alexandros | Polyzois | chemistry | 1 | 2022 | 2023 | Studies complex microbial communities through untargeted metabolomics, and develops computational mass spectrometry approaches. | | | alexandros-polyzois | | | | |
| 2023/11 | jpg | Felipe | Pacheco | ecology and evolutionary biology | 1 | 2022 | | Harnesses AI to address sustainability challenges in the Water-Food-Energy Nexus. | https://felipespacheco.wixsite.com/fspacheco | | | 4hg4_SUAAAAJ | 0000-0003-2143-5225 | D-1712-2014 | Felipe-Pacheco-8 |
| 2023/11 | jpg | Itay | Griniasty | physics | 1 | 2022 | | Studies how programmable materials can be designed into microscopic machines, and how information geometry uncovers hidden relations and the generalizability of climate simulations of extreme precipitation. | | | | a3Uhp58AAAAJ | | | |
| 2024/11 | jpg | Akshay | Ajagekar | systems engineering | 3 | 2024 | | Uses quantum computing-enhanced generative deep learning for chemical and biomolecular design in areas of drug discovery and synthetic biology. | https://www.akshayajagekar.com | | akshayajagekar | JCRfLuIAAAAJ | | | |
| 2024/11 | jpeg | Guangyao | Chen | chemical and biomolecular engineering | 3 | 2024 | | Uses AI technology to determine the best manufacturing conditions for nanoparticle materials and accelerate the discovery of materials. | https://icgy96.github.io/ | | guangyao-chen-976335145 | ZauoVgYAAAAJ | | | |
| 2024/11 | jpg | Hyung-Sub | Kim | integrative plant science | 3 | 2024 | | Leverages AI to project carbon storage potential of the global forests in a changing world. | | | | | | | Hyung-Sub-Kim |
| 2024/11 | jpg | Jason | Kim | physics | 3 | 2024 | | Develops generative AI for interpretable dimensionality reduction with gene sequencing technology to better model cancer development, and with calcium imaging technology to model spatial representation in the hippocampus. | | | jason-kim-20412b78 | nLpyoNIAAAAJ | | | |
| 2024/11 | jpg | Kwanghwi | Je | chemistry and chemical biology | 3 | 2024 | | Combines nano imaging, machine learning, and simulations to understand the structure of nanoparticles. | | | kwanghwi-je-9b1456208 | Tc4_fHQAAAAJ | 0000-0002-5017-6034 | | |
| 2024/11 | jpg | Myungjoon | Kim | applied and engineering physics | 3 | 2024 | | Explores nonlinear multimode optical systems and develops photonic devices with enhanced or novel functionality, leveraging physics-informed machine learning. | https://myungjoon.github.io/ | | | dEDl6yQAAAAJ | | | |
| 2024/11 | jpg | Weiwei | Chen | neurobiology and behavior | 3 | 2024 | | Analyzes how the brain learns from past experiences, with the goal to develop an AI model to understand how mental predictive coding and replay interact to support fast adaptation in the brain. | | | | 4FS6Oz8AAAAJ | | | |
| 2024/11 | jpg | Xueyu | Tian | systems engineering | 3 | 2024 | | Harnesses AI to determine the viability of perovskite solar cells (PSCs) — a high-efficiency, lightweight, and flexible solar cell — for use in agrivoltaics, which is the dual use of land for solar energy and farming. | | | xueyu-tian | GF_hcQMAAAAJ | | | |
| 2024/11 | jpg | Yasir | Latif | earth and atmospheric sciences | 3 | 2024 | | Develops a “climate emulator” to improve hydroclimatic projections using AI and output from state-of-the-art high-resolution climate models for uncertainty reduction in hydro-climatic predictions. | https://www.cs.cas.cz/staff/latif/cs | | | Bc61XbYAAAAJ | | | Yasir-Latif-6 |
| 2024/11 | jpg | Yue | Zhuo | chemical and biomolecular engineering | 3 | 2024 | | Develops AI-powered “multimodal plant agents” for examining plant genotypes, phenotypes, pathology, and processes to combat agricultural and economical challenges due to climate change. | | | | Zzau7DwAAAAJ | | | |
| 2024/11 | jpg | Zherong | Wu | integrative plant science | 3 | 2024 | | Develops deep-learning frameworks to reduce huge uncertainties of global terrestrial carbon flux — and in turn, produce more reliable climate projections to support policymaking. | https://sites.google.com/view/zherongwu | | zherong-wu-646226275 | bjYPyj0AAAAJ | | | |
| 2024/11 | jpg | Zhilong | Wang | systems engineering | 3 | 2024 | | Leverages AI and first-principles calculations to develop high-performance energy and electronic materials. | | | | UOZ_oIEAAAAJ | 0000-0002-1910-3654 | | Zhilong-Wang-10 |
