扎法
职称:中级
所在院系:计算机工程系
研究方向:My research interests include Heterogeneous Graphs Embedding, Recommender Systems, Question Answering, Deep Neural Networks, NLP, LLMs, Information Retrieval, Knowledge Graphs, and Web Mining. Currently, we are working on a Question-answering Project using KG, LLM, and RAG.
电话:
邮箱:zafar_ali@seu.edu.cn
职务:162
个人简介
研究方向
Recommendation Models, Deep Learning, Large Language Models, Question Answering, NLP, Graph Embedding


教育经历

1.Ph.D. in Computer Science and Technology (2017 – 2021)
 Southeast University, Nanjing, China 

2.M.S. in Computer Science (2013 –2017)
 University of Peshawar, Khyber Pakhtunkhwa, Pakistan 

3.B.S. in Computer Science (2009 – 2013)
 University of Peshawar, Khyber Pakhtunkhwa, Pakistan 


工作经历

I worked as a visiting lecturer of Computer Science at University of Peshawar (2017).

I worked as a software developer at Webtoniq Solutions in Islamabad Pakistan (2013-2014).


科研项目
论文著作
  • Paper recommendation based on heterogeneous network embedding (PR-HNE) — Knowledge-Based Systems — Q1 rank

  • Global citation recommendation employing generative adversarial network (GAN) — Expert Systems with Applications — Q1 rank

  • Citation recommendation employing heterogeneous bibliographic network embedding — Neural Computing and Applications — Q1 rank

  • SPR-SMN: Scientific paper recommendation employing SPECTER with memory network — Scientometrics — Q1 rank

  • Deep learning for medication recommendation: a systematic survey— Expert Systems with Applications — Q1 rank

  • GLAMOR: Graph-based LAnguage MOdel embedding for citation recommendation — Proceedings of the 18th ACM Conference on Recommender Systems (RecSys) — CORE A

  • Leverage Diagnosis Intensity in Medication Recommendations— Proceedings of the International Conference on Intelligent Computing—CCF-C (equal contributor)

  • Talk2Doc: A Patient Q&A system using Retrieval-Augmented Generation with Weighted Knowledge Graphs and LLMs Proceedings of the International Conference on Intelligent Computing—CCF-C (CA)



专利
获奖情况

I was awarded a National Natural Science Foundation of China (NSFC) grant of RMB 200,000 as Principal Investigator (PI). The project focuses on developing a personalized citation recommendation system using deep learning and heterogeneous network embeddings, highlighting my ability to lead funded research at the intersection of neural networks, knowledge graphs, and information retrieval.

  • 联系方式
  • 通信地址:南京市江宁区东南大学路2号东南大学九龙湖校区计算机学院
  • 邮政编码:211189
  • ​办公地点:东南大学九龙湖校区计算机楼
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