Mary Kay O'Connor Process Safety Center

Texas A&M Engineering Experiment Station

  • About
    • About the Center
    • History
    • Mission, Vision and Values
    • Consortium Membership
    • What Is Process Safety Engineering?
    • News
  • Education
    • Safety Engineering Certificate
    • Master Program
    • PhD Program
    • Process Safety Practice Certificate
    • Course Descriptions
    • Course Registration
  • Symposia
  • Research
    • Current Research Areas
    • Student Research Highlights
    • Published Articles by Dr. Faisal Khan
  • People
    • Personnel Directory
    • Alumni
    • Faculty Associates
    • Faculty Fellows and Former Visiting Scholars
    • Steering Committee
    • Technical Advisory Committee
  • Resources
    • Scholarships
    • Facilities and Equipment
    • Center Publications
  • Contact Us
    • Join our LISTSERV
    • Contact Info

Student Research Highlights

Research Highlights 2018-2019

  • Process Safety Implementation
  • Calorimetry
  • Adnormal Situation Management
  • Dust Explosions
  • Release Modeling
  • Release Modeling and Mitigation
  • Reactive Chemicals
  • Design Concepts
  • Reliability and Maintenance
  • Risk Assessment
  • Explosions
  • Learning from Incidents and Data
  • Resilience
  • Human Factors
  • Flammability
  • Consequence Analysis
Uncategorized Topics

PROCESS SAFETY IMPLEMENTATION

Safety analysis of novel green hydrogen production system

Ahmed H. Elkady
PhD

Safety and security of offshore wind-integrated green hydrogen production through water electrolysis

Safety and optimization of time-varying processes

Austin Johnes
PhD

Exploring how process systems engineering principles, primarily the concept of optimization, can be used in conjunction with techniques used to determine process safety in order to study dynamic systems. 

Designing Resilient Process Systems for Enhanced Cyber Security

Luyang Liu
PhD

Developing a resilient control system framework to combat cyber-attacks, focusing on three areas: resilient control, advanced detection, and effective recovery

Quantitative frameworks for process safety and sustainability analysis

Mitchell Huffman
PhD 

Time-dependent safety and sustainability analysis. 

Quantitative models for safety and integrity of hydrogen transportation through transmission pipelines

Naga Venkata Saidileep Korlapati
PhD

Application of data science tools and molecular modeling approaches for the safety of hydrogen transportation.

Integration of design, control, scheduling and safety

Sahithi Srijana Akundi
PhD

Multiparametric optimization

A robust battery management system

Sankhadeep Sarkar
PhD

Advanced diagnostic models to estimate the reliability of Lithium-ion batteries.

Real-Time Monitoring and Control of Hydrogen Production and Storage Systems

Yuanxing Liu
PhD

Optimizing hydrogen production and storage processes, identifying and mitigating potential risks, to provide a safe and efficient operation for hydrogen production and storage systems.

Utilizing the student-centric technique involving project (or problem)-based learning (PBL), combined with the aids of simulators like Aspen Plus or HYSYS, to design a simplified safety index

Yutian Qian
PhD

Integrating the technology aids into the Chemical Engineering curricula to promote the process safety concepts.

Back to top

CALORIMETRY

Back to top

ADNORMAL SITUATION MANAGEMENT

Back to top

DUST EXPLOSIONS

Back to top

RELEASE MODELING

Back to top

RELEASE MODELING AND MITIGATION

Back to top

REACTIVE CHEMICALS

Back to top

DESIGN CONCEPTS

Back to top

REALIABILITY AND MAINTENANCE

Back to top

RISK ASSESSMENT

Back to top

EXPLOSIONS

Back to top

LEARNING FROM INCIDENTS AND DATA

Back to top

RESILIENCE

Back to top

HUMAN FACTORS

Back to top

FLAMMABILITY

Back to top

CONSEQUENCE ANALYSIS

Back to top

UNCATEGORIZED TOPICS

Back to top
Mary Kay O’Connor Process Safety Center
Room 200, Jack E. Brown Building
Texas A&M University, 3122 TAMU
College Station, TX 77843-3122
E-mail: [email protected]
MKOPSC Facebook MKOPSC Twitter MKOPSC Linkedin
Texas A&M Engineering Experiment Station

Copyright © 2025 · Texas A&M Engineering Experiment Station · All Rights Reserved