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Student Achievement

In 2025,the Faculty of Information Engineering organized faculty and students to participate in 14 academic competitions at various levels.

Students won 351 provincial-level and above awards, including:

National Awards (49)

First Prize: 3

Second Prize: 12

Third Prize: 34

Provincial Awards (302)

First Prize: 52

Second Prize: 103

Third Prize: 147

Innovation and entrepreneurship achievements include:

1 municipal-level Undergraduate Innovation and Entrepreneurship Training Program approved

7 provincial-level projects recommended

40 university-level projects approved (37 general projects and 3 key projects)

In 2024 the Faculty achieved:

4 awards at or above the Third Prize level in top-tier competitions

9 Provincial First Prizes

12 Provincial Second Prizes

2 provincial Undergraduate Innovation and Entrepreneurship Training Projects

69 students obtained professional certifications

Students established 2 companies

Students published 5 academic papers

Participation in 15 research projects

9 software copyrights involving 63 student participants

Graduate Employment

Class of 2025: 1,200 graduates, year-end employment rate 94.67%, 99 postgraduate admissions

Class of 2024: 1,346 graduates, year-end employment rate 83.57%, 63 postgraduate admissions

Class of 2023: 1,151 graduates, year-end employment rate 88.26%, 20 postgraduate admissions

University–Industry Collaboration

In 2025, the Faculty carried out more than 120 university–industry collaborative projects, including:

1 municipal/departmental-level award for collaborative achievements

Publication of 3 co-authored textbooks with industry partners

Publication of 21 practical training manuals jointly developed with enterprises

1 Ministry of Education Industry–University Collaborative Education Project approved

4 jointly developed teaching resource databases or case libraries approved by the Office of Academic Affairs and the Office of University–Local Cooperation

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Other highlights

Henan Provincial Engineering Research Center

Henan Engineering Research Center for Typical Smart Factory Application Scenarios

The Henan Engineering Research Center for Typical Smart Factory Application Scenarios was officially approved for construction by the Henan Provincial Development and Reform Commission in May 2024.

The Center is led by Zhengzhou Shengda University in partnership with SINOMACH Industrial Internet Research Institute Co., Ltd..

1.Objectives

The Center aims to:

Promote the regional transformation and upgrading of intelligent manufacturing.

Enhance regional industrial competitiveness and sustainable development.

Accelerate the intelligent, high-end, and green transformation of manufacturing industries through advanced information technologies.

Support high-quality economic development in Henan Province.

Promote deep integration among industry, academia, research institutions, and end users.

Accelerate technology transfer and commercialization.

2.Research Focus

The Center concentrates on the analysis, design, development, and operation of typical smart factory scenarios.

By integrating university resources with regional manufacturing enterprises and research institutes and combining next-generation information technologies with advanced manufacturing technologies, the Center conducts research in:

Smart factory construction

Production process management

Data governance

Green manufacturing and environmental management

Key enabling technologies for intelligent manufacturing

The Center also supports technology innovation, technology transfer, resource sharing, industrial collaboration, and the cultivation of application-oriented professionals.

Henan Provincial Ninth Key Discipline

Computer Application Technology

1.Overview

Computer Application Technology was approved as a Henan Provincial Ninth Key Discipline in 2018.

Its development has been supported primarily by the undergraduate programs in:

Computer Science and Technology

Software Engineering

With continuous disciplinary development and laboratory investment, additional undergraduate programs were established:

Data Science and Big Data Technology (2018)

Intelligent Science and Technology (2019)

The discipline successfully passed the evaluation of the Henan Provincial Department of Education in July 2023.

2.Major Research Areas

Following the university's mission as a local, application-oriented institution and serving major regional development initiatives, the discipline has established three principal research directions.

(1) Intelligent Control

Research areas include:

Intelligent control algorithms

Intelligent robotics

Machine vision

Embedded systems

Machine learning

Expert control systems

Genetic algorithms

Neural network control

The objective is to improve the intelligence and performance of embedded and robotic systems.

(2) Big Data Technologies and Applications

Research focuses on:

Big data acquisition and preprocessing

Data analysis and mining

Mobile development

Software engineering

Cloud computing

The discipline aims to develop capabilities in:

Big data analytics

Data warehouse management

Big data platform deployment

Big data software development

Data visualization

(3) Digital Image Processing

Research covers:

Image signal processing

Digital image generation

Feature extraction and recognition

Image compression

Image reconstruction

Intelligent image applications

Applications include:

Motion detection and tracking

Image restoration

Image retrieval

Virtual reality

Autonomous driving

Robot navigation

UAV obstacle avoidance

Human–computer interaction

Data visualization

Henan Provincial New-Round Key Discipline

Software Engineering

The Software Engineering discipline was approved as a Henan Provincial New-Round Key Discipline by the Henan Provincial Department of Education in July 2023.

Based on the university's application-oriented educational philosophy, the discipline has established the following research directions.

(1) Intelligent Mobile Development Technologies

Supported by university key laboratories in cloud computing, big data, mobile intelligent terminals, and human–computer interaction, this research area focuses on mobile information processing.

Major topics include:

Cloud computing

Virtualization technologies

Distributed software development

BeiDou Navigation Satellite System applications

Middleware technologies

Mobile application development

(2) Intelligent Information Processing

Supported by key laboratories in cloud computing, big data, and artificial intelligence, this research area focuses on:

Machine perception and pattern recognition

Machine vision and information fusion

3D modeling for intelligent applications

Virtual simulation

Research topics include:

Computer vision

Machine learning

Data mining

Multimedia technologies

Image analysis

Informatics

Big data

(3) Cyberspace Security

Supported by the university's Cyberspace Security Laboratory, this research area covers:

Analysis and design of cybersecurity systems

Software and hardware development for cybersecurity products

Cybersecurity planning and management

The goal is to cultivate expertise in:

Information security technology development

Deployment and maintenance of secure information systems

Cryptography and confidential information system engineering

Design and implementation of cybersecurity solutions