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Wiley携手上海理工大学,与您分享光学人工智能系统等领域前沿研究!

Wiley威立 2023-11-28

PAIS 2023

II Photonics & Advanced Intelligent Systems Webinar


由上海理工大学、光子芯片研究院和Wiley旗下Advanced Intelligent Systems期刊联合组织的PAIS 2023工作坊将于12月1日线上举行!


本次会议主题包括但不限于:光学人工智能系统、神经形态光子学、人工智能光子设备与加速器、量子光学系统、拓扑光子学、先进光学材料、超材料、逆向设计、自旋电子学、先进成像、人工智能辅助生物成像、深度光学、智能传感、超分辨率。


会议将完全免费,欢迎踊跃报名参与!



会议时间


2023年12月1日 14: 00- 20:20

(北京时间)


参与方式


扫码免费线上参会



会议日程




部分嘉宾简介



Hongsheng Chen

ZhejiangUniversity

Dr. Hongsheng Chen is a Chang Jiang Scholar Distinguished Professor in the Electromagnetics Academy at Zhejiang University in Hangzhou, Zhejiang, China. He received the B.S. degree in 2000, and Ph.D. degree in 2005, from Zhejiang University, both in electrical engineering. In 2005, Chen became an Assistant Professor at Zhejiang University; In 2007 an Associate Professor; and in 2011 a Full Professor. In 2014, he was honored with the distinguished "Chang Jiang Scholar" professorship by the Chinese Ministry of Education. He was a Visiting Scientist (2006-2008), and a Visiting Professor (2013-2014) with the Research Laboratory of Electronics at Massachusetts Institute of Technology, USA. He is a Fellow of IEEE. Currently he is the Dean of the College of Information Science and Electronic Engineering, Zhejiang University.

 

His current research interests are in the areas of metamaterials, invisibility cloaking, transformation optics, and theoretical and numerical methods of electromagnetics. He is the coauthor of more than 300 international refereed journal papers. His works have been highlighted by many scientific magazines and public media, including Nature, Scientific American, MIT Technology Review, The Guardian, Physorg, and so on. He serves as a regular reviewer of many international journals on electromagnetics, physics, optics, and electrical engineering. He serves on the Topical Editor of Journal of Optics, the Deputy Editor in Chief of Progress in Electromagnetics Research, the Editorial Board of the Nature's Scientific Reports,  Nanomaterials, and Journal of Electromagnetic Waves and Applications.


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报告题目:TBD



Hong Wei

Institute of Physics, CAS

Prof. Hong Wei is working at Institute of Physics, Chinese Academy of Sciences as the nanophotonics group leader. She received her Ph.D. in condensed matter physics from Chinese Academy of Sciences in 2009. Her research interests focus on plasmonics and nanophotonics. She is a recipient of the Chinese Young Female Scientist Award. She was a topical editor of Journal of the Optical Society of America B from 2017 to 2023. She is a member of the editorial board of Journal of Optics, Advanced Photonics Research, and Advanced Physics Research.

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报告题目:

Strong couplingbetween plasmonic nanostructures and monolayer semiconductors



Tianxiao Nie

Beihang University

Dr.Tianxiao Nie currently is a full professor in Beihang University. Since 2020,he serves as the vice dean of School of Integrated Circuit Science andEngineering. His research activities include ferromagnetic semiconductor, 2Dferromagnet, and spintronic terahertz. So far, he has published more than 80SCI journal papers in related directions, such as Nature Communications,Advanced Materials, ACS Nano, etc. He has also contributed to several bookchapters, as well as more than 40 national invention patents, participated inthe compilation of textbooks for the 14th Five-Year Plan of the NationalPublishing Industry. He served as IOP China editorial advisory board member,local chair of the IEEE/ACM NANOARCH conference, guest editor of Acta PhysicaSinica, etc.

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报告题目:

Spintronic terahertz emission and manipulation based on magnetic heterostructure and integrated device



Xi Chen

IPC, USST

Professor Xi Chen obtained a bachelor's and a Ph.D. degree from Nankai University. He was a senior research fellow at RMIT University and joined University of Shanghai for Science and Technology as a Professor in 2019. His research focuses on the research fields of AI photonics, artificial synapses, and laser fabrication technologies. He has published more than 50 SCI papers in top-level international journals, including first/corresponding-author papers in Advanced Materials, Nano Letters, Light: Science & Applications, PhotoniX, Laser & Photonics Reviews, and Angewandte Chemie International Edition.

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报告题目:

2D materials for artificial intelligence photonic devices



Jianqi Hu 

Sorbonne University

Jianqi Hu receivedthe B.E. degree from University of Electronic Science and Technology of Chinain 2016, and the Ph.D. degree in photonics from École Polytechnique Fédérale deLausanne (EPFL), Switzerland, in 2021. After completing the Ph.D., he continuedhis research as  postdoc at EPFL from 2021 to 2022. Currently, he is SNFpostdoc fellow in Laboratoire Kastler Brossel, Ecole Normale Supérieure,France. His research interests include integrated nonlinear photonics,frequency combs, structured light, and optical computing. He has publishedas (co-)first authors in Nature Photonics, Nature Communications and ScienceAdvances among other journals, and has been invited speakers at ECOC, ACP, andCIOP conferences.

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报告题目:Optical computingwith nonlinear disordered media



Fei Xia 

École Normale Supérieure

Fei Xia is a postdoctoral researcher at École Normale Supérieure (ENS) and the French National Centre for Scientific Research (CNRS) in Paris, France. Her research focuses on computational optics for machine learning and microscopy. She received her Ph.D. in 2021 from Cornell University, where she studied innovative optical microscopy and adaptive optics for deep tissue imaging. Fei was recently awarded the Optica Foundation Challenge Award, the Women in Optics Scholarship by SPIE, and the Mong NeuroTech Fellowship from Cornell University.


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报告题目:Unveiling Deep Tissue Structure and Function with In Vivo Optical Imaging and Computational Microscopy



Hong Xie

IPC, USST

Dr.Hong Xie is an associate professor at the School of Optical-Electrical andComputer Engineering and a PI of Centre for Artifical-IntelligenceNanophotonics, University of Shanghai for Science and Technology. Xie receivedher B.S. in Biology from Wuhan University in 2001. She received her Ph.D. inNeuroscience from SIBS, Chinese Academy of Sciences in 2006. From 2007, shedeveloped in vivo two-photon imaging in mouse brain and studied mitochondrialand oxidative stress involved in Alzheimer’s disease as a postdoctoral fellowunder the supervision of Profs. Bacskai and Hyman. Xie first worked in TsinghuaUniversity and then Zhangjiang National Lab. Xie focused on neuralrepresentations of memory in rodents and studied the process of memory codingusing two-photon microscopy. In 2021, Xie joined the University of Shanghai forScience and Technology. 

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报告题目:

High-throughput in vivo imaging reveals memory engrams in mouse neocortex 



Wenqi He,

ShenzhenUniversity

Dr. HE works at the College of Physics and Optoelectronic Engineering ofShenzhen University, China. He received his BS in optoelectronic informationengineering from South China Normal University in 2007, an MS in physicalelectronics from Shenzhen University in 2010, and a Ph.D. in opticalengineering from Shenzhen University in 2012. Dr. He’s research interestsinclude computational optical imaging and machine vision. He has authored 40+papers in peer-reviewed professional journals.

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报告题目:

Imaging through scattering via deep learning: from enlarging the FOV to customizing the FOV



Qi Hu

University of Oxford

Dr Qi Hu read for a degree in Engineering Science at St. Hilda’s College, Oxford, from 2013-7. Her doctoral work in adaptive optics for corrections of phase and polarisation state aberrations in microscopes was done in the Department of Engineering Science at the University of Oxford from 2017-21, during which time she was also a member of St. Hilda’s College. She was awarded the EPSRC IAA Doctoral Impact Scheme grant in 2021. She was elected to a Schmidt AI in Science fellow and an associate research fellow at Reuben College in 2023. Her work focuses on integrating AI techniques into optical hardware control to develop next-generation imaging systems.


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报告题目:

A physics embedded machine learning approach for sensorless adaptive microscopy



Giuseppe Vicidomini

Italian Institute of Technology

Dr. Giuseppe Vicidomini received his PhD in 2007 from the Laboratory ofAdvance Microscopy and Spectroscopy (LAMBS), University of Genoa, Italy, on theissue of image processing and analysis for fluorescence microscopy. He workedas a postdoctoral scholar in the Department of NanoBiophotonics at the MaxPlanck Institute for Biophysical Chemistry (MPI) in Germany from 2008 to 2011,developing new ways for STED microscopy using fluorescent proteins and livecells. He has been employed at the Italian Institute of Technology (IIT) in theDepartment of NanoPhysics since 2011. In 2016, he was appointed principalinvestigator (Tenure Track, Stage II) in the research field of MolecularMicroscopy and Spectroscopy. Additionally, he teaches adjunctly at the Universityof Genoa. He began creating innovative single-photon avalanche diode arrays forfluorescence microscopy while working on STED microscopy. He is a scientificadvisor and co-founder of the spinoff firm, Genoa Instruments.

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报告题目:TBD



Hongwei Chen

Tsinghua University

Hongwei Chen received the B.E. and Ph.D. (with the highest honor) degrees in Department of Electronic Engineering, Tsinghua University, in 2001 and 2006, respectively. He is currently a Full Professor of the Department of Electronic Engineering, Tsinghua University. His current research interests include opto-electronic signal processing, photonic intelligence, silicon photonics and microwave photonics. Hongwei Chen has won the gold prize of national invention exhibition in 2017, the first prize of technological invention of Optical Engineering Society in 2019. His scientific achievements have been reported by media including MIT Technology Review, SPIE newsroom, EurekAlerk, China Science Daily, ScienceNet, etc. He is a reviewer for top-rank Nature/IEEE/OSA/SPIE journals and was invited to serve as a technical committee member in high-level international conferences including OFC/CLEO/Photonics West/MWP.


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报告题目:Optical pre-sensor computing for imaging and sensing



Cheng Wang

ShanghaiTech University

Dr. Cheng WANG is Associate Professor  (tenured, Principle Investigator)  at School of Information Science and Technology, ShanghaiTech University. He received the Ph.D. degree from Institut National des Sciences Appliquées de Rennes, France in 2015. Then, he became a Senior Research Assistant at City University of Hong Kong. He joined ShanghaiTech University in April, 2016. He was a visiting researcher at Télécom ParisTech, France, Technische Universität Berlin, Germany, and  Politecnico di Torino, Italy. He has been a committe member in SPIE Photonics West (2020-now),  in International Symposium on Physics and Applications of Laser Dynamics (2018), and a symposium co-chair in IEEE Optoelectronics Global Conference (2021).

 

Dr. Wang's research interests include semiconductor lasers (interband cascade lasers, quantum cascade lasers, and quantum dot lasers), AI optical computing chips, optical communication, laser lidar, etc. Up to August, 2023, he has published 50+ journal publications and 70+ conference publications. The publications have received 1200+ citations, and the H-index score is 21.


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报告题目:TBD



Francesco Da Ros 

Technical University of Denmark

Francesco Da Ros isan associate professor in the Machine Learning in Photonic Systems (MLiPS) atDTU Electro. He received his Ph.D. in 2015 from the Technical University ofDenmark (DTU) including a research stay at the FraunhoferHeinrich-Hertz-Institute. Between 2015 and 2018, he worked within the Centerfor Silicon Photonics for Optical Communications at DTU and joined the MLiPSgroup in 2019. Dr. Da Ros has co-authored 200+ papers in the fields of opticalcommunication and signal processing, and he is currently leading a Villum YoungInvestigator project on optical implementations of machine learning techniques(OPTIC-AI). He is an OPTICA Ambassador and Senior Member, an IEEE SeniorMember, and is serving in several technical program committees including CLEO(Program Chair 2022, General Chair 2024), ECOC, PSC and SPIE Europe.

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报告题目:TBD



Jiaqi Gu

Universityof Arizona State University

Jiaqi Gu havereceived the Best Paper Award at ASP-DAC 2020, the Best Paper Finalist at DAC2020, the Best Poster Award at NSF Workshop on Machine Learning Hardware(2020), and the Best Paper Award at IEEE TCAD 2021. I have won the ACM/SIGDAStudent Research Competition First Place (2020), the ACM Student ResearchCompetition Grand Finals First Place (2021), the Robert S. Hilbert MemorialOptical Design Competition 2022, and Margarida Jacome Dissertation Prize at UTAustin ECE (2023).

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报告题目:Next-GenerationPhotonic Computing Systems with Cross-Layer Co-Design and Intelligent DesignAutomation



Bhavin J. Shastri

Queen's University

Bhavin J. Shastri is an Assistant Professor of Engineering Physics at Queen's University, Canada, and a Faculty Affiliate at the Vector Institute for Artificial Intelligence, Canada. He earned the Honours B.Eng. (with distinction), M.Eng., and Ph.D. degrees in electrical engineering (photonics) from McGill University, Canada, in 2005, 2007, and 2012, respectively. He was an NSERC and Banting Postdoctoral Fellow (2012-2016) and an Associate Research Scholar (2016-2018) at Princeton University. With research interests in silicon photonics, photonic integrated circuits, neuromorphic computing, and machine learning, he has published more than 70 journal articles and 100 conference proceedings, 7 book chapters, and given over 65 invited talks and lectures including 5 keynotes and 3 tutorials. He is a co-author of the book, Neuromorphic Photonics (Taylor & Francis, CRC Press, 2017), a term he helped coin.

 

Dr. Shastri is the recipient of the 2022 SPIE Early Career Achievement Award and the 2020 IUPAP Young Scientist Prize in Optics "for his pioneering contributions to neuromorphic photonics" from the ICO. He is a Senior Member of Optica (formerly OSA) and IEEE, a recipient of the 2014 Banting Postdoctoral Fellowship from the Government of Canada, the 2012 D. W. Ambridge Prize for the top graduating Ph.D. student at McGill, an IEEE Photonics Society 2011 Graduate Student Fellowship, a 2011 NSERC Postdoctoral Fellowship, a 2011 SPIE Scholarship in Optics and Photonics, a 2008 NSERC Alexander Graham Bell Canada Graduate Scholarship, including the Best Student Paper Awards at the 2014 IEEE Photonics Conference, 2010 IEEE Midwest Symposium on Circuits and Systems, the 2004 IEEE Computer Society Lance Stafford Larson Outstanding Student Award, and the 2003 IEEE Canada Life Member Award.


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报告题目:Silicon photonics forartificial intelligence and neuromorphic computing



关于期刊


Advanced Intelligent Systems(AISY)是Wiley旗下智能系统领域开放获取旗舰刊。期刊收录关于具有刺激或指令响应智能的人造装置系统的研究,包括机器人、自动化、人工智能、机器学习、人机交互、智能传感和程序化自组装等前沿应用。


根据科睿维安最新报告数据(Clarivate 2022)显示,Advanced Intelligent Systems最新期刊影响因子7.4,期刊JCI指标为1.05,在计算机科学和人工智能领域皆位于Q1区。




我们认为影响因子并不是衡量一本期刊成功与否的唯一标准,我们正在改进衡量和提升 Wiley 期刊影响力和作者科研成果影响力的方式。在未来,我们将采用更广泛的基于期刊和基于文章的评价指标,以提供更丰富的形式来展示期刊表现。 


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