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以“武”会友

2016 XIN 论坛之

XIN中心武林大会圆满落幕

如果说一般路演剑拔弩张的凝重更像是华山论剑,那么此次XIN中心项目评审更像以武会友的武林大会,重在切磋,德高望重的前辈指点,起的是拨云见月之效。

9月21日,2016XIN论坛·XIN中心项目评审在清华大学举行。来自清华大学、特拉维夫大学的13个项目团队,带来了他们在科技研发及市场化方面的最新进展。这些项目涵盖医疗、纳米科技、智能软硬件、材料等领域,体现了十足的技术前瞻性。

今年的XIN论坛分北京、深圳两地进行,北京会场以XIN中心项目评审的形式进行,专注打磨项目。为此,XIN中心邀请到遨问创投合伙人华一嘉女士、启新博医疗技术有限公司董事长赵磊博士、清华大学经济与管理学院副教授朱恒源博士、华夏幸福产业发展集团行业研究院院长朱江先生、以色列连续创业者Eran Fine作为评审嘉宾,为这13个项目“把脉”。

评审嘉宾切中要害的提问与点评,以及项目之间的坦诚交流,让各团队均觉受益匪浅。“超润滑硬盘”项目团队的张首沫就表示朱恒源副教授及Eran Fine关于行业动态和项目瞄准市场的建议让他受到很大启发。

此次评审结束之后,XIN中心将筛选合适的优秀项目奔赴深圳,参加2016中以医疗及生命科学创新投资大会,为项目提供与各方资本对接的机会,也为接下来的市场化、产业化创造条件。而这一北京、深圳合作的筛选、输送过程,也开启了XIN中心南北战略合作新格局。

清华大学技术转移研究院院长金勤献、清华大学XIN中心总经理姜漪

Project List:

Teng Li, Hongyu Zhao, and Prof. Guoqiang Chen(THU): Seawater based biotechnology for low-cost production of bioplastics.

Dr. Shahar Zirkin (TAU): 5-hydroxymethylcytosine as an epigenetic biomarkers for cancer diagnostics and prognosis.

Qin Xin (THU): Wearable health monitoring device.

Dr. Gil Shalev (TAU): Nitric Oxide sensor for asthma patients

Dr. Nan Su and Prof. Xinhui Xing (THU): Recombinant heparinase, chondroitinase and their application.

Prof. Danny Segal (TAU) and Prof. Yanmei Li (THU):Novel small molecules for inhibiting the nano-assembly of a-synuclein amyloids in Parkinson’s disease.

Dr. Ksawery Kalinowski (TAU): Real-time nano-profilometry and nondestructive tests during lithography/fabrication.

Shoumo Zhang, Prof. Quanshui Zheng(THU), and Michael Urbakh(TAU): Superlubricity hard disk drive.

Prof. Amir Boag Gil and Prof. Jacob Scheuer (TAU): Flat and ultrathin optical components using dielectric metasurfaces.

Mr. Yunchuang Dai, Dr. Ziyan Jiang, and Prof. Yi Jiang (THU): Decentralized intelligent building platform.

Dr. Hao Zhou and Prof. Borong Lin (THU): Indoor environment monitoring and big data. Song Yao and Prof, Yu Wang (THU): Smart camera with real-time CNN.

Dr. Song Zhang, Prof. Hui Zhang, and Kaiwen Hu(THU): Material design and functional porcelain production from Jingdezhen porcelain based on micro-environment control and revised data-driven process-map optimization method.

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