Top30名校背景提升规划课程由集思未来开发，由Top30院校教授、博士、学长学姐进行开展，梳理科研对于升学的重要性和必要性，帮助学生了解冲击Top30名校的秘诀，以及解决绩点低、无大牛推荐信、无论文发表的问题，挖掘科研兴趣，便于学生申请深造择校阶段，对科研有更深刻的理解和认知，提前进行科研规划，降低试错成本，形成良性长久的升学发展路线。
L1：无任何学科经验的高中生
L2：对学科基础知识有了解的高中生；跨专业大学生
L3：对行业有相当研究，优秀的高中生；本专业大学生
L4：优秀的大学生；研究生
通信工程专题：高容错性信道编码技术、云计算在信号存储与传输系统中的应用【大学组】
Lara 导师现任加州大学洛杉矶分校(UCLA)电子与计算机工程系和数学系的终身正教授。她在加州大学伯克利分校(University of California, Berkeley)获得电气工程和计算机科学学士学位(荣誉学位)、硕士学位和博士学位，以及统计学硕士学位。她因在加州大学伯克利分校电气工程和计算机科学系最杰出的博士研究而获得2007年David J. Sakrison纪念奖。在加入加州大学洛杉矶分校之前，她是麻省理工学院信息与决策系统实验室的博士后研究员。导师曾获IBM教师奖(2014年)、诺斯罗普·格鲁曼卓越教学奖(2013年)、英特尔早期职业教师奖(2013年)、加州大学教师发展奖(2013年)、大川研究基金(2013年)、NSF职业奖(2012年)和赫尔曼奖学金(2011年)。与她的研究小组和合作者一起，她获得了许多最佳论文奖。她的研究兴趣涵盖编码和信息理论、图形模型、统计方法和算法，以及新兴的数据存储和计算系统的应用。她目前担任IEEE信息理论汇刊的副编辑，以及IEEE信息理论协会的秘书。Lara教授是IEEE信息理论学会2021-2022杰出讲师，并曾担任多家专门从事数据通信和存储的公司的顾问。 Lara is a Full Professor with the Electrical and Computer Engineering Department and Mathematics Department (courtesy) at the University of California, Los Angeles (UCLA). She holds a B.S. (with honors), M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences, as well as an M.A. degree in Statistics, all from the University of California, Berkeley. She received the 2007 David J. Sakrison Memorial Prize for the most outstanding doctoral research in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. Prior to joining UCLA, she was a postdoctoral researcher with the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology. She received IBM Faculty Award (2014), Northrop Grumman Excellence in Teaching Award (2013), Intel Early Career Faculty Award (2013), University of California Faculty Development Award (2013), Okawa Research Grant (2013), NSF CAREER Award (2012), and Hellman Fellowship Award (2011). With her research group and collaborators, she received numerous best paper awards. Her research interests span coding and information theory, graphical models, statistical methods, and algorithms, with applications to emerging systems for data storage and computing. She currently serves as an Associate Editor for IEEE Transactions on Information Theory and as the Secretary of the IEEE Information Theory Society. Prof. Lara is 2021-2022 Distinguished Lecturer of the IEEE Information Theory Society. Prof. Lara has served as a consultant for a number of companies specializing in data communications and storage.
体育管理专题：粉丝行为及经济动机对体育产业的影响研究
Gina joined New York University as Assistant Clinical Professor of Sport Management in August 2020. She brings eight years of University teaching experience to NYU, after serving as an Adjunct Professor at Columbia University's MS of Sport Management program, of which she is also an alumna. Gina received her BA of Communications from Wake Forest University. Gina last served as Head of Communications for the XFL's New York Guardians, where she was the primary architect of the communications strategy, leading both business and football communications programs. Prior to joining the ranks of professional football, Gina held leadership roles in the NBA, with both the Brooklyn Nets and Golden State Warriors organizations. She led both venue and team strategic communications for two of Brooklyn Sports & Entertainment (BSE) properties: Nassau Veterans Memorial Coliseum and the Long Island Nets from 2017-19. In that role, she spearheaded communications for Nassau Coliseum’s franchises, including concerts, boxing, college basketball and family shows, while additionally supporting Barclays Center, the Brooklyn Nets and the New York Islanders. Before her role with the Brooklyn Nets organization, Gina spent three years with the Golden State Warriors as Director of Public and Community Relations. During that time with the Warriors, Gina assisted with media operations for two Playoff and NBA Finals runs as well as led media operations and strategic communications for two NBA G League Showcases as the host team. She has also appeared on national and regional network television as a courtside reporter for G League basketball games where she earned the sideline spot on broadcasts for ESPN, NBA TV, YES Network, and MSG Network from 2015-2019. Gina于2020年8月加入纽约大学，担任体育管理课程的教授。她在加入纽约大学前，拥有8年的教学经验，她曾担任哥伦比亚大学体育管理硕士项目的教授，她也是该项目的校友。Gina导师的本科毕业于维克森林大学的传播学专业。 Gina曾担任XFL纽约卫报的传播总监，提供有建设性的传播策略并领导商业和足球项目的传播推广。在加入职业足球行列之前，Gina曾在NBA担任领导职务，包括布鲁克林篮网队和金州勇士队。2017-19年，她领导了布鲁克林体育与娱乐(BSE)的两个资产:Nassau Veterans Memorial 体育管和Long Island Nets的场地和团队战略沟通。在这个职位上，她带头为Nassau Veterans Memorial 体育馆的特许经营进行宣传，包括音乐会、拳击、大学篮球和家庭表演，同时还支持巴克莱中心(Barclays Center)、布鲁克林篮网队(Brooklyn Nets)和纽约岛民队(New York Islanders)。 Gina还曾在金州勇士队担任了三年的公共和社区关系总监。在勇士队的那段时间，Gina协助了两场季后赛和NBA总决赛的媒体运作，并作为主队领导了两场NBA发展联盟的媒体运作和战略沟通。2015-2019年，她还出现在国家和地区网络电视上，作为发展联盟篮球比赛的场边记者，她在ESPN、NBA电视、YES网络和MSG网络的广播中获得了副线位置。
计算机算法专题：基于去中心化、分布式及云计算的人工智能算法优化【大学组】
Lara 导师现任加州大学洛杉矶分校(UCLA)电子与计算机工程系和数学系的终身正教授。她在加州大学伯克利分校(University of California, Berkeley)获得电气工程和计算机科学学士学位(荣誉学位)、硕士学位和博士学位，以及统计学硕士学位。她因在加州大学伯克利分校电气工程和计算机科学系最杰出的博士研究而获得2007年David J. Sakrison纪念奖。在加入加州大学洛杉矶分校之前，她是麻省理工学院信息与决策系统实验室的博士后研究员。导师曾获IBM教师奖(2014年)、诺斯罗普·格鲁曼卓越教学奖(2013年)、英特尔早期职业教师奖(2013年)、加州大学教师发展奖(2013年)、大川研究基金(2013年)、NSF职业奖(2012年)和赫尔曼奖学金(2011年)。与她的研究小组和合作者一起，她获得了许多最佳论文奖。她的研究兴趣涵盖编码和信息理论、图形模型、统计方法和算法，以及新兴的数据存储和计算系统的应用。她目前担任IEEE信息理论汇刊的副编辑，以及IEEE信息理论协会的秘书。Lara教授是IEEE信息理论学会2021-2022杰出讲师，并曾担任多家专门从事数据通信和存储的公司的顾问。 Lara is a Full Professor with the Electrical and Computer Engineering Department and Mathematics Department (courtesy) at the University of California, Los Angeles (UCLA). She holds a B.S. (with honors), M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences, as well as an M.A. degree in Statistics, all from the University of California, Berkeley. She received the 2007 David J. Sakrison Memorial Prize for the most outstanding doctoral research in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. Prior to joining UCLA, she was a postdoctoral researcher with the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology. She received IBM Faculty Award (2014), Northrop Grumman Excellence in Teaching Award (2013), Intel Early Career Faculty Award (2013), University of California Faculty Development Award (2013), Okawa Research Grant (2013), NSF CAREER Award (2012), and Hellman Fellowship Award (2011). With her research group and collaborators, she received numerous best paper awards. Her research interests span coding and information theory, graphical models, statistical methods, and algorithms, with applications to emerging systems for data storage and computing. She currently serves as an Associate Editor for IEEE Transactions on Information Theory and as the Secretary of the IEEE Information Theory Society. Prof. Lara is 2021-2022 Distinguished Lecturer of the IEEE Information Theory Society. Prof. Lara has served as a consultant for a number of companies specializing in data communications and storage.
