Yizheng Zhao

Yizheng Zhao (赵一铮)

Associate Professor, PhD Supervisor
Knowledge Representation & Reasoning Group (KRistal)
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University

Address: Room A505, Siu Yat-Fu Building, Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing, China
Email: zhaoyz [at] nju [dot] edu [dot] cn

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Short Bio

I obtained my Ph.D. degree in Computer Science from The University of Manchester under the esteemed supervision and guidance of Prof. Renate A. Schmidt, within the same research group where I garnered my initial postdoc work experience. Subsequently, I joined the Department of Computer Science at The University of Oxford as a postdoc researcher, delving into the intricacies of Automata Theory and Database Theory. Since May 2019, I have held the position of Associate Professor in the School of Artificial Intelligence at Nanjing University, contributing actively to AI teaching and research.


Info for Prospective Research Students

Students who are interested in pursuing a research degree, whether at the master's or doctoral level, in the fields of logics, knowledge representation, automated reasoning, ontologies, ontology-based knowledge systems, and other topics within my area of expertise are encouraged to engage in a discussion with me regarding potential projects. The core of a research degree is the successful completion of a research project that makes an original contribution to knowledge in a particular area of study. Although guided and advised by an expert, a research student assumes full responsibility for his/her work, and is expected to adeptly plan and manage a research project and to deliver on time a thesis of appropriate standard. An important aspect of a research degree is the opportunity for training, not only in specialist research techniques but also in transferable skills relevant to employability and personal development. Research students are fueled by naturally inquisitive minds and should possess a fervent passion for problem-solving and advancing human knowledge.

Before deciding to join KRistal, you might want to take note of the following information:

Please be honest with yourself and diligently consider personal interests when arriving at decisions. Prudent and responsible decision-making is crucial, as is steadfast commitment to the chosen path. Should your predilections favor inventive thinking and non-conformist actions, we cordially invite you to become a member of KRistal. While KRistal's primary emphasis has traditionally been on the pursuit of fundamental research, our interests have recently begun to gravitate also toward applied research. More specifically, we are broadening our scope by devoting significant efforts to the practical implementation of theoretical insights in matters of commercial or societal import. Our efforts involve exploring and employing KR-based and logic-based methodologies in knowledge-intensive fields and applications, such as those found in medicine and biology. By engaging in these real-world applications, we aim to provide an effective means of validating our theoretical findings and discovering new avenues for further research. Through the continuous refinement of our understanding in practical contexts, we aspire to contribute meaningfully to the advancement of human knowledge and the enhancement of societal well-being.


Teaching

At overseas universities:

At Nanjing University:



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