Prof. Guodong Pang, Rice University, United States
✨ Prof. Guodong Pang is a distinguished academic in the realm of Computational Applied Mathematics and Operations Research, currently serving as a Professor at Rice University since January 2022. His journey in academia showcases a trajectory of excellence, with previous roles including Professor from July 2020 to December 2021, Associate Professor from July 2016 to June 2020, and Assistant Professor (Harold and Inge Marcus Career Professorship) from August 2010 to June 2016. Prof. Pang earned his Ph.D. in Operations Research in May 2010, guided by the expertise of Prof. Ward Whitt, from the Department of Industrial Engineering and Operations Research at Columbia University. With a career marked by scholarly achievements, Prof. Pang is a dedicated educator and researcher contributing to the advancements in his field. 🎓📊
🎓Education :
🌟 Prof. Guodong Pang is a distinguished scholar with a strong academic foundation. He earned his Ph.D. in Operations Research in May 2010 from the Department of Industrial Engineering and Operations Research at Columbia University, under the mentorship of Prof. Ward Whitt. This academic journey reflects his dedication to the field of Operations Research. Additionally, Prof. Pang holds an M.S. in Mathematics, obtained in 2006 from the Department of Mathematics at Virginia Tech’s Grado Department of Industrial and Systems Engineering. His educational achievements underline a profound commitment to mathematical sciences and operations research, shaping his path as a notable academic in these fields. 🎓🔍📊
🌐 Professional Profiles :
Scopus
Google Scholar
🏆 Awards :
🧠 Research Interests 🔬🌐 :
Prof. Guodong Pang is a trailblazer in the realm of applied mathematics, with a diverse array of research interests that span the vast landscape of probability and stochastic processes. His intellectual pursuits include Applied Probability, Stochastic Processes and Analysis, Stochastic Control, and Asymptotic Methods, all underscored by a keen interest in numerical methods and simulation. Prof. Pang’s expertise extends to complex systems, including Stochastic Networks, Queueing Systems, and Operations Management, with a special focus on service systems such as those in healthcare, customer contact centers, and cloud-based services. His contributions also reach into the realms of Financial Engineering, Econometrics, Risk and Decision Analysis, and Epidemiology, showcasing a multidimensional approach to solving real-world challenges. 🧠🔬🌐
📚 Publication Impact and Citations :
Scopus Metrics:
- 📝 Publications: 73 documents indexed in Scopus.
- 📊 Citations: A total of 577 citations for his publications, reflecting the widespread impact and recognition of Prof. Guodong Pang’s research within the academic community.
Google Scholar Metrics:
- All Time:
- Citations: 1376 📖
- h-index: 18 📊
- i10-index: 38 🔍
- Since 2018:
- Citations: 795 📖
- h-index: 15 📊
- i10-index: 29 🔍
👨🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬
Publications ( Top Note ) :
1. Martingale proofs of many-server heavy-traffic limits for Markovian queues
(Published in Management Science, 2007) – Cited by 294.
2. Two-parameter heavy-traffic limits for infinite-server queues
(Published in Queueing Systems, 2010) – Cited by 116.
3. Heavy-traffic limits for many-server queues with service interruptions
(Published in Queueing Systems, 2009) – Cited by 51.
4. The impact of dependent service times on large-scale service systems
(Published in Manufacturing & Service Operations Management, 2012) – Cited by 50.
5. Service interruptions in large-scale service systems
(Published in Management Science, 2009) – Cited by 46.
6. Two-parameter heavy-traffic limits for infinite-server queues with dependent service times
(Published in Queueing Systems, 2013) – Cited by 45.
7. Infinite-server queues with batch arrivals and dependent service times
(Published in Probability in the Engineering and Informational Sciences, 2012) – Cited by 42.
8. A logarithmic safety staffing rule for contact centers with call blending
(Published in Management Science, 2015) – Cited by 38.
9. Ergodicity of a Lévy-driven SDE arising from multiclass many-server queues
(Published in Stochastic Processes and their Applications, 2019) – Cited by 35.
10. Functional limit theorems for non-Markovian epidemic models
(Published in The Annals of Applied Probability, 2022) – Cited by 32.