# Deepam Goyal

> researcher

**Wikidata**: [Q89071418](https://www.wikidata.org/wiki/Q89071418)  
**Source**: https://4ort.xyz/entity/deepam-goyal

## Summary
Deepam Goyal is an Indian researcher and assistant professor specializing in mechanical engineering, artificial intelligence, and machine learning. He is known for his work in technical diagnosis, vibration analysis, and manufacturing technology, contributing to advancements in reliability and production automation. Goyal serves as an assistant professor at Chitkara University, Punjab, where he integrates AI with mechanical engineering solutions.

## Biography
- **Born**: [Date and place not available]  
- **Nationality**: [Not specified]  
- **Education**:  
  - Doctor of Philosophy (PhD), National Institute of Technical Teachers Training and Research (2015–2019)  
  - Master of Engineering, National Institute of Technical Teachers Training and Research (2013–2015)  
- **Known for**: Research in mechanical engineering, AI-driven diagnostics, and manufacturing innovation.  
- **Employer(s)**: Chitkara University, Punjab (assistant professor).  
- **Field(s)**: Mechanical engineering, artificial intelligence, reliability, vibration analysis, production automation.  

## Contributions  
Deepam Goyal’s research focuses on applying machine learning and AI to mechanical systems, emphasizing reliability, vibration analysis, and manufacturing optimization. While specific publications or patents are not detailed in the source material, his academic roles and research interests highlight contributions to integrating AI with industrial processes. As an assistant professor, he likely contributes to education and research in mechanical engineering and AI, fostering advancements in technical diagnosis and production automation. His work bridges traditional mechanical engineering with modern AI methodologies, addressing challenges in manufacturing and system reliability.

## FAQs  
### Q: What is Deepam Goyal’s primary field of research?  
A: Goyal specializes in mechanical engineering, with a focus on artificial intelligence, machine learning, and their applications in manufacturing, vibration analysis, and reliability engineering.  

### Q: Where does Deepam Goyal work?  
A: He is employed as an assistant professor at Chitkara University, Punjab.  

### Q: What academic credentials does Deepam Goyal hold?  
A: He holds a PhD and a Master of Engineering degree from the National Institute of Technical Teachers Training and Research.  

## Why They Matter  
Deepam Goyal’s work is significant for advancing the intersection of artificial intelligence and mechanical engineering, particularly in manufacturing and diagnostics. His research in vibration analysis and reliability helps optimize industrial systems, reducing downtime and improving efficiency. As an educator, he contributes to workforce development in emerging technologies like AI-driven manufacturing. His focus on practical applications of machine learning ensures that theoretical advancements translate into tangible industrial improvements, influencing both academic research and practical engineering solutions.

## Notable For  
- Assistant professor at Chitkara University, Punjab, combining AI and mechanical engineering.  
- Expertise in reliability, technical diagnosis, and vibration analysis using machine learning.  
- Researcher in manufacturing technology and production automation, enhancing industrial processes.  

## Body  
### Academic Career  
Goyal earned his PhD (2015–2019) and Master of Engineering (2013–2015) from the National Institute of Technical Teachers Training and Research. He currently serves as an assistant professor at Chitkara University, Punjab, where he teaches and conducts research.  

### Research Focus  
His work spans:  
- **Artificial Intelligence/Machine Learning**: Developing models for technical diagnosis and manufacturing optimization.  
- **Mechanical Engineering**: Focus on vibration analysis, reliability, and production automation.  
- **Manufacturing Technology**: Improving industrial processes through AI integration.  

### Professional Affiliations  
- **Employer**: Chitkara University, Punjab (role: assistant professor).  
- **Identifiers**: ORCID ID, ResearcherID (I-7674-2016), Scopus Author ID (56542926000).  
- **Languages**: English (spoken/written).  

### Fields of Work  
Goyal’s research addresses:  
- Reliability engineering.  
- Vibration-based diagnostics.  
- AI applications in manufacturing.  
- Production automation systems.

## References

1. Czech National Authority Database
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7761-6925/education/1908610)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7761-6925/education/1908606)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7761-6925/employment/10965738)
5. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-7761-6925/external-identifiers/516350)
6. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-7761-6925/external-identifiers/493074)