# Handing Wang

> researcher

**Wikidata**: [Q85886697](https://www.wikidata.org/wiki/Q85886697)  
**Source**: https://4ort.xyz/entity/handing-wang

## Summary  
Handing Wang is a Chinese‑language researcher and professor specializing in artificial intelligence, evolutionary algorithms, and combinatorial optimization. She currently holds a professorship at Xidian University and previously served as a research fellow at the University of Surrey.

## Biography  
- **Born:** –  
- **Nationality:** –  
- **Education:** Doctor of Engineering, Xidian University (studies 2010‑08‑26 – 2015‑07‑01)  
- **Known for:** Advancing evolutionary‑algorithm methods for optimization and data‑mining problems  
- **Employer(s):**  
  - Professor, Xidian University (from 2018‑09‑01)  
  - Research Fellow, University of Surrey (2015‑07‑01 – 2018‑06‑30)  
- **Field(s):** Artificial intelligence; optimization methods; combinatorial optimization; evolutionary algorithms; data mining  

## Contributions  
Handing Wang’s research portfolio centers on the design and analysis of evolutionary algorithms that address hard combinatorial‑optimization and data‑mining challenges. While at the University of Surrey, she contributed to several peer‑reviewed studies that demonstrated how adaptive evolutionary strategies can improve solution quality for large‑scale optimization tasks. Since joining Xidian University as a professor in 2018, she has led a research group that produces algorithms integrating machine‑learning techniques with classic optimization frameworks, resulting in multiple conference papers and journal articles that are indexed in DBLP (author ID 125/6067), Scopus (ID 55539503700), and Dimensions (ID 014304545413.60). Her work is frequently cited for introducing novel mutation operators and hybrid meta‑heuristics that enhance convergence speed and robustness in real‑world applications such as scheduling, network design, and pattern discovery.

## FAQs  
### Q: What are Handing Wang’s main research areas?  
A: She focuses on artificial intelligence, especially evolutionary algorithms, combinatorial optimization, and data‑mining techniques.  

### Q: Where does Handing Wang work currently?  
A: Since September 2018 she has been a professor at Xidian University in China.  

### Q: Has Handing Wang held positions outside China?  
A: Yes, she was a research fellow at the University of Surrey in the United Kingdom from July 2015 to June 2018.  

## Why They Matter  
Handing Wang’s contributions have helped bridge the gap between theoretical evolutionary computation and practical optimization problems. By introducing adaptive mechanisms and hybrid approaches, her research has improved the efficiency of algorithms used in scheduling, network planning, and large‑scale data analysis. These advances enable faster, more reliable solutions in industries ranging from logistics to telecommunications, influencing both academic curricula and applied research groups worldwide. Her mentorship of graduate students at Xidian University also cultivates the next generation of AI and optimization experts.

## Notable For  
- Professor of Computer Science at Xidian University (since 2018).  
- Former research fellow at the University of Surrey (2015‑2018).  
- Recognized author in major scholarly databases: DBLP (125/6067), Scopus (55539503700), Dimensions (014304545413.60).  
- Specialized expertise in evolutionary algorithms applied to combinatorial optimization and data mining.  
- Published multiple peer‑reviewed papers that are widely cited in AI and optimization literature.  

## Body  

### Early Education  
- Enrolled at Xidian University on 2010‑08‑26.  
- Completed a Doctor of Engineering degree on 2015‑07‑01, focusing on algorithmic research.  

### Academic Positions  

#### University of Surrey (Research Fellow)  
- Tenure: 2015‑07‑01 – 2018‑06‑30.  
- Conducted collaborative projects on AI‑driven optimization methods with UK‑based research teams.  

#### Xidian University (Professor)  
- Appointed on 2018‑09‑01.  
- Leads a laboratory dedicated to evolutionary computation, data mining, and large‑scale optimization.  

### Research Focus  
- **Evolutionary Algorithms:** Development of novel mutation and crossover operators.  
- **Combinatorial Optimization:** Application of meta‑heuristics to NP‑hard problems such as vehicle routing and timetabling.  
- **Data Mining:** Integration of AI models to extract patterns from high‑dimensional datasets.  

### Publications and Impact  
- Authored numerous conference and journal articles indexed in DBLP, Scopus, and Dimensions.  
- Works are cited for improving convergence rates and solution robustness in real‑world optimization scenarios.  

### Professional Identifiers  
- **DBLP author ID:** 125/6067  
- **Scopus author ID:** 55539503700  
- **Dimensions author ID:** 014304545413.60  
- **VIAF ID:** 2776172729667406290007  

## Schema Markup  
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  "description": "Researcher and professor specializing in AI, evolutionary algorithms, and combinatorial optimization."
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## References

1. Czech National Authority Database
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-4805-3780/education/3964281)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-4805-3780/employment/6360380)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-4805-3780/employment/3964293)
5. Virtual International Authority File
6. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-4805-3780/external-identifiers/1077742)