背景提升在申请中作用？
以上数据为集思学院通过多年经验统计得出
背景提升活动帮你补足学习成绩外的50%
科研类活动对学术能力起到很好的辅助说明作用，并且可以同时体现领导力， 团队协作精神等其他素质，一直是招生官非常青睐的活动经历
“硬件”强只能入围，“软件”强才能“突围”
英美名校所青睐的申请人素质中，标准化考试成绩等“硬件”是亚洲学生的共同强项，而批判性思维等“软件”则是普遍短板，背景提升可以补足这些短板
独立研发科研项目，覆盖全部主流申请方向
特色科研课题已为1对1学员精心定制
英美名校导师，覆盖TOP30高校和数十所顶尖实验室
学术成果已由集思学员创造
学员口碑见证
小组科研
精心研发，备受好评经典科研项目。海内外优秀青年一起协作完成，一个项目即可锻炼展示学术科研能力，领导力，团队协作能力等综合素质
人工智能
计算传播学专题：基于大数据的社交网络“病毒式”传播行为模式研究【大学组】
Dr.S.Z. is an Associate Professor at the Department of Computer Science, UCL. He is affiliated with the Media Futures Research Group. He is a founding member of the Academic Centre of Excellence in Cyber Security Research (ACE-CSR) at UCL. He is also associated with UCL’s Center for Doctoral Training (CDT) for Cybersecurity. He teaches the postgraduate module COMP0123 on Complex Networks and the Web. He is the CS Department’s Tutor for Study Abroad Year (SAY) programme, the Industrial Placement programme and UG Academic Summer Internship. He received his PhD in Telecommunications at Queen Mary, University of London (QMUL) in 2004. He held a prestigious Royal Academy of Engineering (RAEng)/EPSRC Research Fellowship from 2007 to 2012. He is a Senior Member of IEEE. He is a member of the Editorial Board of the PLOS ONE and the Scientific Reports of the Nature Publishing Group. S.Z.导师现任伦敦大学学院（UCL）计算机科学终身教授，研究兴趣包括社交媒体网络、网络安全、网络科学、互联网路由与云计算，是英国网络安全研究卓越学术中心（ACE-CSR；英国政府支持的精英大数据与网络安全团队计划，旨在为未来网络安全专家提供工程、社会学、法律等全方位的网络安全教育）UCL创始成员之一，与UCL网络安全博士培训中心和AI基金会保有密切联系。AS.Z.导师是IEEE（世界顶级专业技术学会）高级会员、英国计算机协会（BCS）网络专家组委员会成员，曾获英国皇家工程院(RAEng)/EPSRC研究奖金。
金融
金融市场与投资研究【大学组】
Ludovic导师现任牛津大学赛德商学院金融经济学终身正教授，聚焦资产管理、PE投资研究，在牛津大学讲授MBA、MFE和高管MBA私募股权和资产管理课程。Ludovic导师的研究获得投资界和学术界极大关注，在国际著名期刊《金融杂志》、《金融研究评论》发表，在《哈佛商业评论》、《经济展望》等众多国际知名财经杂志见刊，同时被《经济学人》、《金融时报》争相报道。Ludovic导师具有丰富的行业经验，为挪威主权财富基金等企业提供咨询服务。
人工智能
菁英项目: 人工智能课题 深度学习核心技术：卷积神经网络算法及其在人工智能领域的应用研究【大学组】
哈佛大学（Harvard University）始建于1636年，是一所享誉世界的私立研究型大学，也是常春藤盟校成员。哈佛大学在学术界享有崇高的地位，并且在世界范围内具有广泛的社会影响力。哈佛大学孕育了8位美国总统，158位诺贝尔奖获得者（世界第一）和18位菲尔兹奖得主（世界第一），在2019/2020年U.S.News世界大学排名中位列第一，2018年QS世界大学计算机科学以及电子工程专业排名位列第六。
人工智能
人工智能与深度学习专题：卷积神经网络算法及其在人工智能领域的应用研究【大学组】
哈佛大学（Harvard University）始建于1636年，是一所享誉世界的私立研究型大学，也是常春藤盟校成员。哈佛大学在学术界享有崇高的地位，并且在世界范围内具有广泛的社会影响力。哈佛大学孕育了8位美国总统，158位诺贝尔奖获得者（世界第一）和18位菲尔兹奖得主（世界第一），在2019/2020年U.S.News世界大学排名中位列第一，2018年QS世界大学计算机科学以及电子工程专业排名位列第六。
人工智能
数据科学专题：基于网络、图等数据结构的社交媒体数据分析【大学组】
Dr.S.Z. is an Associate Professor at the Department of Computer Science, UCL. He is affiliated with the Media Futures Research Group. He is a founding member of the Academic Centre of Excellence in Cyber Security Research (ACE-CSR) at UCL. He is also associated with UCL’s Center for Doctoral Training (CDT) for Cybersecurity. He teaches the postgraduate module COMP0123 on Complex Networks and the Web. He is the CS Department’s Tutor for Study Abroad Year (SAY) programme, the Industrial Placement programme and UG Academic Summer Internship. He received his PhD in Telecommunications at Queen Mary, University of London (QMUL) in 2004. He held a prestigious Royal Academy of Engineering (RAEng)/EPSRC Research Fellowship from 2007 to 2012. He is a Senior Member of IEEE. He is a member of the Editorial Board of the PLOS ONE and the Scientific Reports of the Nature Publishing Group. S.Z.导师现任伦敦大学学院（UCL）计算机科学终身教授，研究兴趣包括社交媒体网络、网络安全、网络科学、互联网路由与云计算，是英国网络安全研究卓越学术中心（ACE-CSR；英国政府支持的精英大数据与网络安全团队计划，旨在为未来网络安全专家提供工程、社会学、法律等全方位的网络安全教育）UCL创始成员之一，与UCL网络安全博士培训中心和AI基金会保有密切联系。AS.Z.导师是IEEE（世界顶级专业技术学会）高级会员、英国计算机协会（BCS）网络专家组委员会成员，曾获英国皇家工程院(RAEng)/EPSRC研究奖金。
工程
物理与电子工程课题：特斯拉汽车电池组分析【高中组】
Colm is a professor of Nanoengineering science and deputy head of the engineering department at the University of Cambridge. He obtained his degree and PhD in Physics from Trinity College Dublin during which time he designed and constructed the first scanning near-field optical microscope (SNOM) in the country, and made significant advances in our understanding of the mechanisms behind image formation in such systems. He then spent a year in Konstanz, Germany working in collaboration with ZEISS on the construction of a commercial microscope system. Colm has secured funding from and collaborated with several leading companies as well as government funding agencies, to the tune of over £3 Million in the past few years. He lectures and teaches in electronics, electromagnetism, quantum mechanics and nanotechnology. He is on the editorial board of Ultramicroscopy and Imaging & Microscopy, and is a fellow of Girton College, Cambridge and the Institute of Physics. Colm导师是剑桥大学电子工程专业的终身正教授、工程学院副院长（Teaching），在校讲授电子学、电磁学、量子力学和纳米技术等课程。他同时是超微显微镜的编辑委员会成员，也是剑桥大学格顿学院和物理研究所的研究员。Colm导师在都柏林三一学院获得了物理学学位和博士学位，在博士期间，他设计并建造了英国国内第一个扫描近场光学显微镜(SNOM)。而后导师在2009-2010年期间担任了纳米科学中心主任时，发表了100多篇论文并发表100多次演讲，最终成功地编写并出版了一本关于纳米电子学的教科书。导师在过去的几年里总共获得了超过300万英镑的研发资金。
计算机科学
数据科学与机器学习在股票市场预测中的应用
Dr.Patrick is an Associate Professor in the Department of Statistics at the University of Oxford. Prior to joining the University of Oxford, he was a Lecturer in the Computer Science department at Yale University and a Postdoctoral Associate at the Yale Institute for Network Science. He has a Ph.D. in Operations Research and Financial Engineering from Princeton University, where he worked in Applied Probability. His current research interests lie at the intersection of Applied Probability, Statistics, and Computer Science. He is interested in the investigation of fundamental principles to perform scalable inference, learning, and optimization in high-dimensional models, and in the design and analysis of algorithms in Machine Learning, with applications to graphical models and Monte Carlo methods. Patrick导师现任牛津大学终身教授，曾任教于耶鲁大学计算机科学系，拥有普林斯顿大学博士学位，荣获牛津大学杰出教学奖。Patrick教授的研究研究兴趣集中在应用概率、统计学和计算机科学的交叉领域,聚焦于高维概率、统计和优化的基本原理，为机器学习和人工智能提供高计算效率、统计最优的算法。导师同时对图形建模以及蒙特卡洛模拟方法颇有研究。
工程
游戏设计专题：《头号玩家》交互体验 虚拟现实VR技术在沉浸式游戏场景搭建中的应用
Steve导师现任游戏设计专排Top4的加州大学洛杉矶分校终身正教授，导师的研究致力于前沿技术及数字媒体的交叉领域。 此前，导师曾在游戏设计专排Top1的南加州大学有过长达15年的教学及研究经验。导师著作等身，其代表作《视觉技术:数据和图像之间的战争》调查了从19世纪30年代到现在，计算和摄影图像制作的竞争机制的出现，重点关注与空间、数据可视化和监视相关的文化含义。导师同时是公共媒体档案和公平使用倡导网络Critical Commons的创始人/首席研究员。他与Tara McPherson共同编辑了跨学科电子期刊Vectors，并担任网络视觉文化联盟(开源电子出版平台Scalar的开发人员)的联合首席研究员。 Steve Anderson is a scholar-practitioner working at the intersection of media, history, technology and culture. His book Technologies of Vision: The War Between Data and Images (MIT, 2017) surveys the emergence of competing regimes of computational and photographic image making from the 1830s to the present, focusing on cultural implications related to space, data visualization and surveillance. In 2015, Anderson was awarded a Digital Innovation Fellowship by the American Council of Learned Societies to create Technologies of Cinema, incorporating video essays and textual analysis in an open access media archive. He is also the founder/principal investigator of the public media archive and fair use advocacy network Critical Commons. Before coming to UCLA TFT, Anderson taught for 15 years in the USC School of Cinematic Arts, where he was the founding director of the practice-based Ph.D. program in Media Arts + Practice and a faculty member in the divisions of Interactive Media & Games, Media Arts + Practice and Critical Studies.
工程
分析化学传感技术在分子检测中的应用研究
Prof. Joshua received his Ph.D. on the development of single-molecule detection within microfluidic systems at Imperial College London in 2003. He then performed postdoctoral research in nanobiotechnology at Cornell University within the School of Applied and Engineering Physics. In July 2006 he joined Imperial College London within the Department of Chemistry and Institute of Biomedical Engineering as a lecturer. Joshua is currently a Professor in the Department of Chemistry and 2011 he was awarded a prestigious ERC Starting Grant on “Nanoporous Membranes for High Throughput Rare Event Bioanalysis” and in 2016 he was awarded an ERC Consolidator Grant related to the development of selective single-molecule biosensors. Joshua导师现任帝国理工学院化学系生物传感与分析科学终身正教授、东京理工学院客座教授，是英国皇家化学学会会员，欧洲研究理事会（ERC）巩固者奖获得者（奖励杰出独立科研人员）、欧洲研究理事会（ERC）启动基金获得者（奖励职业生涯早期杰出学者）。Joshua导师现已发表百余篇学术论文，受邀参加近百次学术演讲。他带领学生创立“Edel group”，研究领域涵盖化学、化学生物学、物理学和医学，致力于研究和开发灵敏度高、轻量化的新型传感器。
工程
材料科学与工程综合研究：分子动力学、蒙特卡洛方法等理论的应用研究
Prof. Jaime's research interest focuses on understanding materials evolution under extreme conditions using multiscale computational modeling. Formulating theoretical models of materials behavior under a variety of far-from-equilibrium conditions, e.g. shock-loading, very fast deformation rates, high dose and dose rate irradiation, ultrafast heating, etc., requires a deep understanding of a wide range of physical processes. This multidisciplinary nature of multiscale materials modeling endows students working on these projects with a broad knowledge base across many scientific disciplines. Jaime 导师现任加州大学洛杉矶分校机械与航空航天工程、材料科学与工程终身正教授，研究生教育副主席，曾获美国能源部早期事业奖（Early Career Award；该奖项颁给有卓越贡献的职业生涯早期科研学者）。Jaime 导师的研究兴趣为融合材料的微结构演化和机械性能降解、合金塑性变形模拟、热力学模拟和功能材料相变，在国际知名期刊发表论文多篇。
计算机科学
计算机前端UI交互设计与网站开发：基于面向对象编程语言Java的网页制作研究
Prof.Victor’s main area of research interest is applied computational mathematics, computer algebra, experimental mathematics, and pen-based computing. Other interests include discrete mathematics, analysis of algorithms and machine learning. Prior to joining in the University of California, he was a Full professor of Carnegie Mellon University. Victor导师现任南加州大学计算机科学系正教授、USC 工程领事、教师绩效评估委员会成员，曾任美国国家科学研究所计算机通信分部项目首席研究员和卡耐基梅隆大学终身正教授。Victor教授荣获 Herbert Simon 计算机科学卓越教学奖，并独立开发高级编程实务 (Java) 课程。Victor教授在发表研究论文的同时还是《数学分析与应用杂志》、《积分变换和特殊函数》、《计算与应用数学杂志》等期刊同行审查委员会高级成员。
工程
游戏设计专题：《头号玩家》交互体验 虚拟现实VR技术在沉浸式游戏场景搭建中的应用
Steve导师现任游戏设计专排Top4的加州大学洛杉矶分校终身正教授，导师的研究致力于前沿技术及数字媒体的交叉领域。 此前，导师曾在游戏设计专排Top1的南加州大学有过长达15年的教学及研究经验。导师著作等身，其代表作《视觉技术:数据和图像之间的战争》调查了从19世纪30年代到现在，计算和摄影图像制作的竞争机制的出现，重点关注与空间、数据可视化和监视相关的文化含义。导师同时是公共媒体档案和公平使用倡导网络Critical Commons的创始人/首席研究员。他与Tara McPherson共同编辑了跨学科电子期刊Vectors，并担任网络视觉文化联盟(开源电子出版平台Scalar的开发人员)的联合首席研究员。 Steve Anderson is a scholar-practitioner working at the intersection of media, history, technology and culture. His book Technologies of Vision: The War Between Data and Images (MIT, 2017) surveys the emergence of competing regimes of computational and photographic image making from the 1830s to the present, focusing on cultural implications related to space, data visualization and surveillance. In 2015, Anderson was awarded a Digital Innovation Fellowship by the American Council of Learned Societies to create Technologies of Cinema, incorporating video essays and textual analysis in an open access media archive. He is also the founder/principal investigator of the public media archive and fair use advocacy network Critical Commons. Before coming to UCLA TFT, Anderson taught for 15 years in the USC School of Cinematic Arts, where he was the founding director of the practice-based Ph.D. program in Media Arts + Practice and a faculty member in the divisions of Interactive Media & Games, Media Arts + Practice and Critical Studies.
计算机科学
数据科学与机器学习在股票市场预测中的应用
Dr.Patrick is an Associate Professor in the Department of Statistics at the University of Oxford. Prior to joining the University of Oxford, he was a Lecturer in the Computer Science department at Yale University and a Postdoctoral Associate at the Yale Institute for Network Science. He has a Ph.D. in Operations Research and Financial Engineering from Princeton University, where he worked in Applied Probability. His current research interests lie at the intersection of Applied Probability, Statistics, and Computer Science. He is interested in the investigation of fundamental principles to perform scalable inference, learning, and optimization in high-dimensional models, and in the design and analysis of algorithms in Machine Learning, with applications to graphical models and Monte Carlo methods. Patrick导师现任牛津大学终身教授，曾任教于耶鲁大学计算机科学系，拥有普林斯顿大学博士学位，荣获牛津大学杰出教学奖。Patrick教授的研究研究兴趣集中在应用概率、统计学和计算机科学的交叉领域,聚焦于高维概率、统计和优化的基本原理，为机器学习和人工智能提供高计算效率、统计最优的算法。导师同时对图形建模以及蒙特卡洛模拟方法颇有研究。
工程
分析化学传感技术在分子检测中的应用研究
Prof. Joshua received his Ph.D. on the development of single-molecule detection within microfluidic systems at Imperial College London in 2003. He then performed postdoctoral research in nanobiotechnology at Cornell University within the School of Applied and Engineering Physics. In July 2006 he joined Imperial College London within the Department of Chemistry and Institute of Biomedical Engineering as a lecturer. Joshua is currently a Professor in the Department of Chemistry and 2011 he was awarded a prestigious ERC Starting Grant on “Nanoporous Membranes for High Throughput Rare Event Bioanalysis” and in 2016 he was awarded an ERC Consolidator Grant related to the development of selective single-molecule biosensors. Joshua导师现任帝国理工学院化学系生物传感与分析科学终身正教授、东京理工学院客座教授，是英国皇家化学学会会员，欧洲研究理事会（ERC）巩固者奖获得者（奖励杰出独立科研人员）、欧洲研究理事会（ERC）启动基金获得者（奖励职业生涯早期杰出学者）。Joshua导师现已发表百余篇学术论文，受邀参加近百次学术演讲。他带领学生创立“Edel group”，研究领域涵盖化学、化学生物学、物理学和医学，致力于研究和开发灵敏度高、轻量化的新型传感器。
计算机科学
数据科学与机器学习在股票市场预测中的应用
Dr.Patrick is an Associate Professor in the Department of Statistics at the University of Oxford. Prior to joining the University of Oxford, he was a Lecturer in the Computer Science department at Yale University and a Postdoctoral Associate at the Yale Institute for Network Science. He has a Ph.D. in Operations Research and Financial Engineering from Princeton University, where he worked in Applied Probability. His current research interests lie at the intersection of Applied Probability, Statistics, and Computer Science. He is interested in the investigation of fundamental principles to perform scalable inference, learning, and optimization in high-dimensional models, and in the design and analysis of algorithms in Machine Learning, with applications to graphical models and Monte Carlo methods. Patrick导师现任牛津大学终身教授，曾任教于耶鲁大学计算机科学系，拥有普林斯顿大学博士学位，荣获牛津大学杰出教学奖。Patrick教授的研究研究兴趣集中在应用概率、统计学和计算机科学的交叉领域,聚焦于高维概率、统计和优化的基本原理，为机器学习和人工智能提供高计算效率、统计最优的算法。导师同时对图形建模以及蒙特卡洛模拟方法颇有研究。
工程
机械工程材料模拟技术：极端条件下材料演变的多尺度计算建模及计算力学方法研究
Prof. Jaime's research interest focuses on understanding materials evolution under extreme conditions using multiscale computational modeling. Formulating theoretical models of materials behavior under a variety of far-from-equilibrium conditions, e.g. shock-loading, very fast deformation rates, high dose and dose rate irradiation, ultrafast heating, etc., requires a deep understanding of a wide range of physical processes. This multidisciplinary nature of multiscale materials modeling endows students working on these projects with a broad knowledge base across many scientific disciplines. Jaime 导师现任加州大学洛杉矶分校机械与航空航天工程、材料科学与工程终身正教授，研究生教育副主席，曾获美国能源部早期事业奖（Early Career Award；该奖项颁给有卓越贡献的职业生涯早期科研学者）。Jaime 导师的研究兴趣为融合材料的微结构演化和机械性能降解、合金塑性变形模拟、热力学模拟和功能材料相变，在国际知名期刊发表论文多篇。
自然科学
诺贝尔物理学奖课题：银河系中心致密天体及引力波分析探究
Dr. Adrian is a Research Group leader at the Max-Planck-Institute for Astrophysics (MPA). He obtained his PhD from Leiden University in 2016. In 2016, he moved to the Institute for Advanced Study in Princeton, NJ, to work as a postdoctoral fellow. From September 2019, he is heading a new Research Group at the MPA. His interests lie in the areas of high-energy astrophysics and astrophysical dynamics, with a focus on compact objects, stellar systems, supermassive black holes, and planetary systems, he has currently published more than 68 articles in top international academic journals. Adrian 导师是马克斯普朗克天体物理研究所 (MPA) 的研究组组长。 他于 2016 年获得了莱顿大学的博士学位后，移居普林斯顿高等研究院，担任博士后研究员。 从 2019 年 9 月起，他正式加入马克斯普朗克天体物理研究所，并独立领导一个研究小组。 他的兴趣在于高能天体物理学和天体物理动力学领域，重点关注致密物体、恒星系统、超大质量黑洞和行星系统，目前在国际顶级学术期刊发表文章超过68篇。
工程
生物与医学课题：生物传感在医学诊断与疾病筛查中的应用研究
Prof. Joshua received his Ph.D. on the development of single-molecule detection within microfluidic systems at Imperial College London in 2003. He then performed postdoctoral research in nanobiotechnology at Cornell University within the School of Applied and Engineering Physics. In July 2006 he joined Imperial College London within the Department of Chemistry and Institute of Biomedical Engineering as a lecturer. Joshua is currently a Professor in the Department of Chemistry and 2011 he was awarded a prestigious ERC Starting Grant on “Nanoporous Membranes for High Throughput Rare Event Bioanalysis” and in 2016 he was awarded an ERC Consolidator Grant related to the development of selective single-molecule biosensors. Joshua导师现任帝国理工学院化学系生物传感与分析科学终身正教授、东京理工学院客座教授，是英国皇家化学学会会员，欧洲研究理事会（ERC）巩固者奖获得者（奖励杰出独立科研人员）、欧洲研究理事会（ERC）启动基金获得者（奖励职业生涯早期杰出学者）。Joshua导师现已发表百余篇学术论文，受邀参加近百次学术演讲。他带领学生创立“Edel group”，研究领域涵盖化学、化学生物学、物理学和医学，致力于研究和开发灵敏度高、轻量化的新型传感器。
金融
金融建模课题：金融衍生品定价研究【大学组】
Jaksa works in the fields of mathematical finance, financial engineering, and financial economics. He received a PhD in Statistics from Columbia University in 1992. He was an Assistant and Associate Professor of Statistics at Columbia University until 1999. From 1999 to 2005 he was a Professor of Mathematics and Economics at the University of Southern California, where he was also the Associate Chair. He is currently Richard N. Merkin Professor of Mathematical Finance at the California Institute of Technology, the director of the Linde Institute of Economic and Management Sciences, and the vice-president of the Bachelier Finance Society. He received the American Statistical Association Scholastic Excellence Award (1992). He has been a co-editor of “Finance and Stochastics” and of “Mathematical Finance”, and has served on the editorial boards of several other journals. He has co-authored two books, “Introduction to the Economics and Mathematics of Financial Markets” and “Contract Theory in Continuous Time Models”, and more than fifty scientific articles. Jaksa导师在金融数学、金融工程和金融经济学领域工作。他于 1992 年获得哥伦比亚大学统计学博士学位，并于哥伦比亚大学担任统计学助理和副教授直到 1999 年。从 1999 年到 2005 年，他在南加州大学担任数学和经济学教授，并同时担任学院副主席。他目前是加州理工学院金融数学专业的讲席终身正教授、Linde经济与管理科学研究所所长，以及 Bachelier 金融学会的副主席。他获得了美国统计协会学术卓越奖（1992 年），且一直是“金融与随机”和“数学金融”的联合主编，并曾在其他几本期刊的编委任职。他联合其他作者共同创作了“金融市场经济学和数学导论”和“连续时间模型中的合同理论”两本书，并专业科研文章五十余篇。
自然科学
诺贝尔物理学奖课题：银河系中心致密天体及引力波分析探究
Dr. Adrian is a Research Group leader at the Max-Planck-Institute for Astrophysics (MPA). He obtained his PhD from Leiden University in 2016. In 2016, he moved to the Institute for Advanced Study in Princeton, NJ, to work as a postdoctoral fellow. From September 2019, he is heading a new Research Group at the MPA. His interests lie in the areas of high-energy astrophysics and astrophysical dynamics, with a focus on compact objects, stellar systems, supermassive black holes, and planetary systems, he has currently published more than 68 articles in top international academic journals. Adrian 导师是马克斯普朗克天体物理研究所 (MPA) 的研究组组长。 他于 2016 年获得了莱顿大学的博士学位后，移居普林斯顿高等研究院，担任博士后研究员。 从 2019 年 9 月起，他正式加入马克斯普朗克天体物理研究所，并独立领导一个研究小组。 他的兴趣在于高能天体物理学和天体物理动力学领域，重点关注致密物体、恒星系统、超大质量黑洞和行星系统，目前在国际顶级学术期刊发表文章超过68篇。
计算机科学
金融科技与信息安全：区块链、以太坊(ETH)与加密货币技术研究
Dr. Jean-Claude is a Clinical Associate Professor of Computer Science and the Associate Director of Graduate Studies for the CS Master's program in Information Systems at NYU Courant Institute. He held executive positions in large US-based corporations, and was a reviewer member on several industry standards committees. Dr. Jean-Claude's teaching and research interests include database systems and software engineering with an emphasis on large scale software architectures and business solutions. He has published articles in numerous refereed publications including the Proceedings of Third Int. Conf. on Cooperative Information Systems, Proceedings of the Sixth International Workshop on Persistent Object Systems, and the 16th International Conference on Software Engineering. Jean-Claude 导师现任纽约大学算机科学教授、信息系统研究生项目副主任。导师拥有30多年的垂直行业工作经验，以及超过25年的教学和培训经验。他曾在美国大型企业担任行政职务，并担任多个行业标准委员会的评审员。Jean-Claude导师在加州大学博尔德分校、丹佛大学、哥伦比亚大学、纽约大学SCPS和纽约大学考兰特研究所等多所知高校都有过教学经历。Jean-Claude导师的教学和研究兴趣包括数据库系统和软件工程，重点是大规模软件体系结构和业务解决方案。
金融
密集项目：金融商科核心课题：市场分析与企业战略决策
Karan is Professor of Operations, Technology and Innovation at Cornell-Tech and the Johnson College of Business at Cornell University. Karan’s research has focused on identifying and refining business models enabled by new technologies and enabling the digital transformation of companies and industries. Karan has collaborated with companies building new business models in the areas of urban living, smart transportation and e-commerce, helping them build rigorous research-based solutions. Karan’s and his research collaborators have been recognized with multiple best paper awards and his research contributions were recognized with prestigious Wickham Skinner Early Career Research Award. His research on new business models (at the time) was summarized in the best-selling book, “The Risk Driven Business Model”. He has also won over 20 teaching awards for his teaching on entrepreneurship and new business models and was featured in the Poets and Quant’s Best 40 under 40 business professors lists. In addition to his academic work, Karan was one of the founders of TerraPass Inc., which the New York Times identified as one of the most noteworthy ideas of 2005. Since then, TerraPass has helped businesses and individuals reduce over hundred million tons of carbon dioxide emissions. Prior to joining Cornell Tech, he has earned a doctorate at the Wharton School and a bachelor degree from Indian Institute of Technology, Delhi. Karan导师是康奈尔大学约翰逊商学院的讲席终身正教授。 Karan 的研究重点是识别和改进由新技术支持的商业模式，以及实现公司和行业的数字化转型。 Karan 与城市生活、智能交通和电子商务等领域需要建立新的商业模式的公司合作，帮助他们建立深度研究的解决方案。 Karan 和他的合作伙伴获得了多项最佳论文奖，他的研究贡献获得了著名的 Wickham Skinner 早期职业研究奖，并撰写了对于新商业模式研究的畅销书《风险驱动的商业模式》。他还因关于创业和新商业模式的教学赢得了 20 多个教学奖项，并入选 Poets 和 Quant 的 40 位 40 岁以下商业教授名单。 除了学术工作之外，Karan 还是 TerraPass Inc. 的创始人之一，该公司被《纽约时报》评为 2005 年最值得关注的商业模式之一。 从那时起，TerraPass 已帮助企业和个人减少了超过亿吨的碳二氧化碳排放量。在加入康奈尔理工学院及康奈尔大学之前，在沃顿商学院获得博士学位，并在德里印度理工学院获得学士学位。
工程
EE电子工程专题：智能手表与传感器设计【大学组】
Prof. Mercier received a Graduate Teaching Award in Electrical and Computer Engineering at UCSD in 2013, the Hellman Fellowship Award in 2014, the Beckman Young Investigator Award in 2015, the DARPA Young Faculty Award in 2015, the UC San Diego Academic Senate Distinguished Teaching Award in 2016, the Biocom Catalyst Award in 2017, the NSF CAREER Award in 2018, and the San Diego County Engineering Council Outstanding Engineer Award in 2020. He has served as an Associate Editor of the IEEE Transactions on Very Large Scale Integration (TVLSI) from 2015-2017. Since 2013, he has served as an Associated Editor of the IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), and is currently a member of the ISSCC International Technical Program Committee, the CICC Technical Program Committee, the VLSI Symposium Technical Program Committee, and an Associate Editor of the IEEE Solid-State Circuits Letters. Mercier导师现任加州大学圣迭戈分校（UCSD）电气与计算机工程终身教授、可穿戴传感器中心主任、节能微系统实验室主任、学术界和业界公认集成电路设计领域最高级别会议ISSCC技术项目委员会成员，曾荣获麻省理工学院（MIT）电气工程与计算机科学博士、硕士学位。Mercier导师目前担任IEEE TBioCAS、IEEE SSCL期刊副主编，在电子电路领域顶级期刊发表论文多篇。他的研究兴趣为节能微系统设计，重点关注RF电路设计、功率转换器、小型化系统传感器接口以及生物医学应用传感器接口。
人工智能
菁英项目: 人工智能课题 深度学习核心技术：卷积神经网络算法及其在人工智能领域的应用研究【大学组】
哈佛大学（Harvard University）始建于1636年，是一所享誉世界的私立研究型大学，也是常春藤盟校成员。哈佛大学在学术界享有崇高的地位，并且在世界范围内具有广泛的社会影响力。哈佛大学孕育了8位美国总统，158位诺贝尔奖获得者（世界第一）和18位菲尔兹奖得主（世界第一），在2019/2020年U.S.News世界大学排名中位列第一，2018年QS世界大学计算机科学以及电子工程专业排名位列第六。
经济学
国际金融与经济专题：以WTO世贸组织面临的挑战与出路为视角分析全球金融市场与经济制度
Prof. Vinod is Travers Family Senior Faculty Fellow and Professor in the Department of Political Science, Affiliated Professor in the Business and Public Policy group in the Haas School of Business, and Director of the Berkeley Asia Pacific Economic Cooperation Study Center (BASC) at the University of California at Berkeley. He also serves as Editor-in-Chief of the journal Business and Politics, and Co-Chair of the U.S. Consortium of APEC Study Centers. He is also an elected lifetime member of the Council on Foreign Relations and founding member of the U.S. Asia Pacific Council. He has been a consultant to the Mexican Government, the U.S. Department of Commerce, U.S. Defense Department, U.S. State Department, World Trade Organization, OECD, the Group of Thirty, FAO, IFAD, the International Labor Organization, ASEAN, and the World Bank. Vinod导师现任加州大学伯克利分校政治科学终身正教授及讲席高级研究员、加州大学伯克利分校哈斯商学院教授、伯克利亚太经合组织研究中心（BASC）主任、美国亚太经合组织研究中心联合主席、ESCI收录期刊Business and Politics总主编、全球咨询公司Frost & Sulllivan首席经济学家，是美国-亚太理事会（the U.S. Asia Pacific Council）创始成员之一，获美国外交关系协会（Council on Foreign Relations；美国政府高端智库）授予终身会员。Vinod导师在战略、贸易政策和国际磋商方面具有丰富的经验，为世界银行、国际粮农组织、世贸组织、美国商务部等国际组织与政府部门提供战略咨询。
金融
金融资本市场：期权、期货与衍生品研究
Professor Yang is a tenured associate professor at University College London (UCL). He has studied several important topics in finance, such as market microstructure, capital structure and security design, etc. As a well recognized scholar, Prof. Yang has published his research in top academic journals. He also regularly reviews papers for the top journals and gives talks at top universities and conferences around the world. Yang教授是伦敦大学学院（UCL）的终身教授。他在金融领域研究的主要主题有，市场微观结构，资本结构和证券设计等。作为著名学者，教授曾在顶级学术期刊上发表他的研究成果，并且会定期审阅顶级期刊的论文，在全球顶级大学和会议上发表演讲。
社会科学
密集项目：心理学专题：成瘾行为与自控力研究
John is Associate Professor of Psychology and the Deputy Director of the Neuroscience Undergraduate Program at University of Southern California. He received a Ph.D from the University of Pennsylvania. John studies the psychology and neuroscience of motivation and emotion. He has received more than $2 million in funding from the National Institute of Health, and has co-authored more than 90 scientific articles in journals including Science, and the Proceedings of National Academy of Sciences and has also written commentaries on science in popular press outlets including the New York Times. John是南加州大学心理学终身教授和神经科学本科项目部副主任。他在获得了宾夕法尼亚大学获得了博士学位。John教授主要研究领域为心理学和神经科学，其中包括人类行为的动机和情绪管理。他已经收到了由国家卫生研究所提供的超过200万美元的资金用于开展相关研究项目，并与其他心理学家合著发布了90多篇科学论文期刊在Science和National Academy of Sciences上。John教授也与主流媒体合作，在科研话题上发表关键社评，其中包括《纽约时报》。
工程
生物与医学课题：生物传感在医学诊断与疾病筛查中的应用研究
Prof. Joshua received his Ph.D. on the development of single-molecule detection within microfluidic systems at Imperial College London in 2003. He then performed postdoctoral research in nanobiotechnology at Cornell University within the School of Applied and Engineering Physics. In July 2006 he joined Imperial College London within the Department of Chemistry and Institute of Biomedical Engineering as a lecturer. Joshua is currently a Professor in the Department of Chemistry and 2011 he was awarded a prestigious ERC Starting Grant on “Nanoporous Membranes for High Throughput Rare Event Bioanalysis” and in 2016 he was awarded an ERC Consolidator Grant related to the development of selective single-molecule biosensors. Joshua导师现任帝国理工学院化学系生物传感与分析科学终身正教授、东京理工学院客座教授，是英国皇家化学学会会员，欧洲研究理事会（ERC）巩固者奖获得者（奖励杰出独立科研人员）、欧洲研究理事会（ERC）启动基金获得者（奖励职业生涯早期杰出学者）。Joshua导师现已发表百余篇学术论文，受邀参加近百次学术演讲。他带领学生创立“Edel group”，研究领域涵盖化学、化学生物学、物理学和医学，致力于研究和开发灵敏度高、轻量化的新型传感器。
工程
材料科学与工程核心课题：密度泛函理论DFT原理及应用【大学组】
Prof. Jaime's research interest focuses on understanding materials evolution under extreme conditions using multiscale computational modeling. Formulating theoretical models of materials behavior under a variety of far-from-equilibrium conditions, e.g. shock-loading, very fast deformation rates, high dose and dose rate irradiation, ultrafast heating, etc., requires a deep understanding of a wide range of physical processes. This multidisciplinary nature of multiscale materials modeling endows students working on these projects with a broad knowledge base across many scientific disciplines. Jaime 导师现任加州大学洛杉矶分校机械与航空航天工程、材料科学与工程终身正教授，曾获美国能源部早期事业奖（Early Career Award；该奖项颁给有卓越贡献的职业生涯早期科研学者）。Jaime 导师的研究兴趣为融合材料的微结构演化和机械性能降解、合金塑性变形模拟、热力学模拟和功能材料相变，在国际知名期刊发表论文多篇。
自然科学
数学及微积分延展专题: 复分析研究【高中组】
Prof. Alberto is a Senior Faculty Scientist in the Mathematics Group at LBNL. He also holds a full-time position in the Mathematics Department at UC Berkeley. Before joining LBNL in 1976, Grünbaum taught at the Courant Institute in NYU, was a research scientist at the IBM Research Center in Yorktown Heights, NY and then joined the Applied Mathematics Department at Caltech before moving to Berkeley in 1974. He has served as director of the Center for Pure and Applied Mathematics and then Chairman of the UC Berkeley Mathematics Department from 1989--1992. He has been published extensively in the area of imaging, and his recent research interests include the study of Quantum Walks and its applications to different areas of science and technology. Alberto导师是加州大学伯克利分校应用数学终身正教授，在加州大学伯克利分校讲授线性代数等课程，曾任加州大学伯克利分校数学系主任、曾任英国物理研究所出版刊物Inverse Problems主编，曾在纽约大学柯朗数学研究所（Courant Institute；全球Top1应用数学研究中心）、IBM全球研究中心、劳伦斯伯克利国家实验室（Lawrence Berkeley Lab；美国最杰出的国家实验室之一）进行教学或研究工作。Alberto导师的研究聚焦应用数学与数学分析，多次应邀至世界各地知名学府发表主旨演讲。
工程
材料科学与工程综合研究：分子动力学、蒙特卡洛方法等理论的应用研究【大学组】
Prof. Jaime's research interest focuses on understanding materials evolution under extreme conditions using multiscale computational modeling. Formulating theoretical models of materials behavior under a variety of far-from-equilibrium conditions, e.g. shock-loading, very fast deformation rates, high dose and dose rate irradiation, ultrafast heating, etc., requires a deep understanding of a wide range of physical processes. This multidisciplinary nature of multiscale materials modeling endows students working on these projects with a broad knowledge base across many scientific disciplines. Jaime 导师现任加州大学洛杉矶分校机械与航空航天工程、材料科学与工程终身正教授，曾获美国能源部早期事业奖（Early Career Award；该奖项颁给有卓越贡献的职业生涯早期科研学者）。Jaime 导师的研究兴趣为融合材料的微结构演化和机械性能降解、合金塑性变形模拟、热力学模拟和功能材料相变，在国际知名期刊发表论文多篇。
工程
生物与医学课题：生物传感在医学诊断与疾病筛查中的应用研究
Prof. Joshua received his Ph.D. on the development of single-molecule detection within microfluidic systems at Imperial College London in 2003. He then performed postdoctoral research in nanobiotechnology at Cornell University within the School of Applied and Engineering Physics. In July 2006 he joined Imperial College London within the Department of Chemistry and Institute of Biomedical Engineering as a lecturer. Joshua is currently a Professor in the Department of Chemistry and 2011 he was awarded a prestigious ERC Starting Grant on “Nanoporous Membranes for High Throughput Rare Event Bioanalysis” and in 2016 he was awarded an ERC Consolidator Grant related to the development of selective single-molecule biosensors. Joshua导师现任帝国理工学院化学系生物传感与分析科学终身正教授、东京理工学院客座教授，是英国皇家化学学会会员，欧洲研究理事会（ERC）巩固者奖获得者（奖励杰出独立科研人员）、欧洲研究理事会（ERC）启动基金获得者（奖励职业生涯早期杰出学者）。Joshua导师现已发表百余篇学术论文，受邀参加近百次学术演讲。他带领学生创立“Edel group”，研究领域涵盖化学、化学生物学、物理学和医学，致力于研究和开发灵敏度高、轻量化的新型传感器。
人工智能
菁英项目: 人工智能课题 深度学习核心技术：卷积神经网络算法及其在人工智能领域的应用研究【大学组】
哈佛大学（Harvard University）始建于1636年，是一所享誉世界的私立研究型大学，也是常春藤盟校成员。哈佛大学在学术界享有崇高的地位，并且在世界范围内具有广泛的社会影响力。哈佛大学孕育了8位美国总统，158位诺贝尔奖获得者（世界第一）和18位菲尔兹奖得主（世界第一），在2019/2020年U.S.News世界大学排名中位列第一，2018年QS世界大学计算机科学以及电子工程专业排名位列第六。
工程
分析化学传感技术在分子检测中的应用研究
Prof. Joshua received his Ph.D. on the development of single-molecule detection within microfluidic systems at Imperial College London in 2003. He then performed postdoctoral research in nanobiotechnology at Cornell University within the School of Applied and Engineering Physics. In July 2006 he joined Imperial College London within the Department of Chemistry and Institute of Biomedical Engineering as a lecturer. Joshua is currently a Professor in the Department of Chemistry and 2011 he was awarded a prestigious ERC Starting Grant on “Nanoporous Membranes for High Throughput Rare Event Bioanalysis” and in 2016 he was awarded an ERC Consolidator Grant related to the development of selective single-molecule biosensors. Joshua导师现任帝国理工学院化学系生物传感与分析科学终身正教授、东京理工学院客座教授，是英国皇家化学学会会员，欧洲研究理事会（ERC）巩固者奖获得者（奖励杰出独立科研人员）、欧洲研究理事会（ERC）启动基金获得者（奖励职业生涯早期杰出学者）。Joshua导师现已发表百余篇学术论文，受邀参加近百次学术演讲。他带领学生创立“Edel group”，研究领域涵盖化学、化学生物学、物理学和医学，致力于研究和开发灵敏度高、轻量化的新型传感器。
工程
材料科学与工程核心课题：密度泛函理论DFT原理及应用【大学组】
Prof. Jaime's research interest focuses on understanding materials evolution under extreme conditions using multiscale computational modeling. Formulating theoretical models of materials behavior under a variety of far-from-equilibrium conditions, e.g. shock-loading, very fast deformation rates, high dose and dose rate irradiation, ultrafast heating, etc., requires a deep understanding of a wide range of physical processes. This multidisciplinary nature of multiscale materials modeling endows students working on these projects with a broad knowledge base across many scientific disciplines. Jaime 导师现任加州大学洛杉矶分校机械与航空航天工程、材料科学与工程终身正教授，曾获美国能源部早期事业奖（Early Career Award；该奖项颁给有卓越贡献的职业生涯早期科研学者）。Jaime 导师的研究兴趣为融合材料的微结构演化和机械性能降解、合金塑性变形模拟、热力学模拟和功能材料相变，在国际知名期刊发表论文多篇。
自然科学
天体物理：模拟星系形成
Professor Mark won the Rudolf Kippenhahn Prize for his thesis work. He was an ITC postdoctoral fellow at the Harvard-Smithsonian Center for Astrophysics from 2009-2012, and a Hubble fellow from 2012-2013. In 2014, Dr. Mark joined the MIT physics faculty as Assistant Professor. In 2016 he won an Alfred P. Sloan Fellowship in Physics. Professor Mark was promoted to Associate Professor in 2018. Professor Mark is a theoretical astrophysicist whose research interests broadly cover structure and galaxy formation, dark matter physics, and large-scale hydrodynamical simulations. He makes extensive use of numerical simulations using state-of-the-art high-performance supercomputers around the world. Mark导师为理论天体物理学家，现任麻省理工学院（MIT）物理系终身教授，曾获素有“诺贝尔风向标”美誉的美国斯隆研究奖（Sloan Research Fellowship）、国际天文和天体物理界最具声望的博士后奖励Hubble Fellow，以及哈佛-史密松天体物理中心博士后研究奖金。导师的主要研究兴趣包括星系结构和形成、暗物质物理和大规模流体动力学模拟。他是迄今为止最详细的星系形成模拟之一揭示计划（Illustrate Program）的主要设计者。
金融
金融工程专题：期权定价核心模型研究与模型校准
Jaksa works in the fields of mathematical finance, financial engineering, and financial economics. He received a PhD in Statistics from Columbia University in 1992. He was an Assistant and Associate Professor of Statistics at Columbia University until 1999. From 1999 to 2005 he was a Professor of Mathematics and Economics at the University of Southern California, where he was also the Associate Chair. He is currently Richard N. Merkin Professor of Mathematical Finance at the California Institute of Technology, the director of the Linde Institute of Economic and Management Sciences, and the vice-president of the Bachelier Finance Society. He received the American Statistical Association Scholastic Excellence Award (1992). He has been a co-editor of “Finance and Stochastics” and of “Mathematical Finance”, and has served on the editorial boards of several other journals. He has co-authored two books, “Introduction to the Economics and Mathematics of Financial Markets” and “Contract Theory in Continuous Time Models”, and more than fifty scientific articles. Jaksa导师在金融数学、金融工程和金融经济学领域工作。他于 1992 年获得哥伦比亚大学统计学博士学位，并于哥伦比亚大学担任统计学助理和副教授直到 1999 年。从 1999 年到 2005 年，他在南加州大学担任数学和经济学教授，并同时担任学院副主席。他目前是加州理工学院金融数学专业的讲席终身正教授、Linde经济与管理科学研究所所长，以及 Bachelier 金融学会的副主席。他获得了美国统计协会学术卓越奖（1992 年），且一直是“金融与随机”和“数学金融”的联合主编，并曾在其他几本期刊的编委任职。他联合其他作者共同创作了“金融市场经济学和数学导论”和“连续时间模型中的合同理论”两本书，并专业科研文章五十余篇。
工程
生物与医学课题：生物传感在医学诊断与疾病筛查中的应用研究
Prof. Joshua received his Ph.D. on the development of single-molecule detection within microfluidic systems at Imperial College London in 2003. He then performed postdoctoral research in nanobiotechnology at Cornell University within the School of Applied and Engineering Physics. In July 2006 he joined Imperial College London within the Department of Chemistry and Institute of Biomedical Engineering as a lecturer. Joshua is currently a Professor in the Department of Chemistry and 2011 he was awarded a prestigious ERC Starting Grant on “Nanoporous Membranes for High Throughput Rare Event Bioanalysis” and in 2016 he was awarded an ERC Consolidator Grant related to the development of selective single-molecule biosensors. Joshua导师现任帝国理工学院化学系生物传感与分析科学终身正教授、东京理工学院客座教授，是英国皇家化学学会会员，欧洲研究理事会（ERC）巩固者奖获得者（奖励杰出独立科研人员）、欧洲研究理事会（ERC）启动基金获得者（奖励职业生涯早期杰出学者）。Joshua导师现已发表百余篇学术论文，受邀参加近百次学术演讲。他带领学生创立“Edel group”，研究领域涵盖化学、化学生物学、物理学和医学，致力于研究和开发灵敏度高、轻量化的新型传感器。
金融
金融数学专题：企业中股票及期权的数据分析与风险对冲研究
Jaksa works in the fields of mathematical finance, financial engineering, and financial economics. He received a PhD in Statistics from Columbia University in 1992. He was an Assistant and Associate Professor of Statistics at Columbia University until 1999. From 1999 to 2005 he was a Professor of Mathematics and Economics at the University of Southern California, where he was also the Associate Chair. He is currently Richard N. Merkin Professor of Mathematical Finance at the California Institute of Technology, the director of the Linde Institute of Economic and Management Sciences, and the vice-president of the Bachelier Finance Society. He received the American Statistical Association Scholastic Excellence Award (1992). He has been a co-editor of “Finance and Stochastics” and of “Mathematical Finance”, and has served on the editorial boards of several other journals. He has co-authored two books, “Introduction to the Economics and Mathematics of Financial Markets” and “Contract Theory in Continuous Time Models”, and more than fifty scientific articles. Jaksa导师在金融数学、金融工程和金融经济学领域工作。他于 1992 年获得哥伦比亚大学统计学博士学位，并于哥伦比亚大学担任统计学助理和副教授直到 1999 年。从 1999 年到 2005 年，他在南加州大学担任数学和经济学教授，并同时担任学院副主席。他目前是加州理工学院金融数学专业的讲席终身正教授、Linde经济与管理科学研究所所长，以及 Bachelier 金融学会的副主席。他获得了美国统计协会学术卓越奖（1992 年），且一直是“金融与随机”和“数学金融”的联合主编，并曾在其他几本期刊的编委任职。他联合其他作者共同创作了“金融市场经济学和数学导论”和“连续时间模型中的合同理论”两本书，并专业科研文章五十余篇。
工程
游戏设计专题：《头号玩家》交互体验 虚拟现实VR技术在沉浸式游戏场景搭建中的应用
Steve导师现任游戏设计专排Top4的加州大学洛杉矶分校终身正教授，导师的研究致力于前沿技术及数字媒体的交叉领域。 此前，导师曾在游戏设计专排Top1的南加州大学有过长达15年的教学及研究经验。导师著作等身，其代表作《视觉技术:数据和图像之间的战争》调查了从19世纪30年代到现在，计算和摄影图像制作的竞争机制的出现，重点关注与空间、数据可视化和监视相关的文化含义。导师同时是公共媒体档案和公平使用倡导网络Critical Commons的创始人/首席研究员。他与Tara McPherson共同编辑了跨学科电子期刊Vectors，并担任网络视觉文化联盟(开源电子出版平台Scalar的开发人员)的联合首席研究员。 Steve Anderson is a scholar-practitioner working at the intersection of media, history, technology and culture. His book Technologies of Vision: The War Between Data and Images (MIT, 2017) surveys the emergence of competing regimes of computational and photographic image making from the 1830s to the present, focusing on cultural implications related to space, data visualization and surveillance. In 2015, Anderson was awarded a Digital Innovation Fellowship by the American Council of Learned Societies to create Technologies of Cinema, incorporating video essays and textual analysis in an open access media archive. He is also the founder/principal investigator of the public media archive and fair use advocacy network Critical Commons. Before coming to UCLA TFT, Anderson taught for 15 years in the USC School of Cinematic Arts, where he was the founding director of the practice-based Ph.D. program in Media Arts + Practice and a faculty member in the divisions of Interactive Media & Games, Media Arts + Practice and Critical Studies.
在线科研1对1
个人独立定制课题，导师1对1专门指导，重点锻炼展示独立思考精神，批判性思维等能力模型
社会研究
从舶来品到实践:从某NGO看中国的网络治理
中国人民大学 公共管理学院 公共财政与公共政策研究所 副教授 美国北伊利诺依大学 博士 研究领域：公共预算、财政管理、公共政策、 地方政府 开设课程：财政管理研究、研究设计与数据分析、公共行政理论前沿 发表论文： 《民主算修正权：基于现状和可行性的分析》，（CSSCI） 《财政分权下的义务教育均衡发展之再探讨》，（CSSCI）
计算机科学
图像认证和语义篡改检测研究
武汉大学 计算机学院 教授 英国伦敦大学 博士 爱尔兰DCU大学 外聘博士生导师 研究方向： 计算机科学、图像和视频处理、软件工程、信息安全、人工智能等 讲授课程： 《随机信号分析》、《计算机网络》、《多媒体技术应用》、《数字图像处理》、《数字逻辑电路》、《C++程序设计》、《信息安全》、《信息系统导论》、《数据库系统》、《Linux操作系统》、《数字信号处理》、《信号与系统》、《通信原理》等 曾先后在名校从事教学和科研，以及华为从事科技开发近30年，先后主持完成科研项目20多项，开发高科技产品10多项。近10年发表包括在IEEE TIP内的国际学术期刊和会议论文60多篇，科技专著1本(Science Press)，授权发明专利8项。担任国际学术大会主席20+次，作大会报告30+次。曾担任2个国际学术期刊主编。
商业
品牌战略
导师在哥伦比亚大学任教，曾任美国平面设计协会（AIGA；全球规模最大、历史最为悠久的专业设计协会）全国委员会成员、深受全球年轻人喜爱的音乐电视传媒机构MTV Networks的V.P.品牌创意总监，以及美国知名有线电视频道Nickelodeon的创意总监。 导师在品牌、视觉设计、传播策略等交叉领域有着丰富的经验。她认为，创造积极变化的最有效方法是清晰地传达有影响力的想法。
艺术设计
艺术鉴赏分析
芝加哥大学 艺术史系 教授 Society of Fellows，Harper & Schmidt Fellow, 哈佛大学 美国文明史 博士 耶鲁大学 美国宗教史 硕士 导师的研究兴趣包括物质文化、视觉文化、肖像画、历史绘画、英美陶瓷、艺术与铸造、古物研究、早期摄影作品与雕塑，将于美国史密森国家肖像画廊（Smithsonian National Portrait Gallery）50周年纪念册上发表关于肖像与历史的学术文章。导师同时也研究17-19世纪的美国，特别是材料与视觉文化、宗教史、性别研究和心理学史，著有Protestant Relics: Capturing the Sacred Body in Early America, 1750-1877 ，该著作对美国及其他地区新教徒不断升级的物质崇拜进行的深入探究与分析。 导师曾获哈佛大学美国政治研究中心、沃伦美国历史中心、美国古文物学会和耶鲁大学研究奖学金，学术著作被Journal of Mormon History, Methodist History, Encyclopedia of Global Religion等宗教、历史领域顶级期刊收录。 导师在教学方面屡获殊荣，获得State of Illinois Teaching Certificate以及Harvard Teaching Certificate,导师主导设计的active-learning lesson design获得ABLConnect Teaching Innovator Prize.
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为什么要来集思学院做科研
集思服务流程
他们在集思的成长故事
