Mr Mani Bakhshi Sasi | Food supply Chain | Best Researcher Award |

Mr. Mani Bakhshi Sasi | Food supply Chain | Best Researcher Award.

 University of New South Wales, Australia

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR 

 👨‍🎓 Bio Summary:

Mani Bakhshi Sasi is a dedicated postdoctoral researcher at Charles Sturt University, affiliated with the University of New South Wales. With a robust academic background in industrial engineering and computer science, Mani is a prolific researcher and educator, contributing significantly to the fields of supply chain management, machine learning, and cybersecurity.

🎓 Education:

Mani completed his Bachelor’s and Master’s degrees in industrial engineering, followed by a Ph.D. in computer science. His academic journey has been marked by excellence, notably achieving a top 10% ranking among high-quality students during his Master’s program, recognized for both GPA and thesis examination.

🔍 Research Focus:

Mani’s research interests span across supply chain management, disruption mitigation, machine learning, uncertainty, data analytics, and cybersecurity. His work includes significant projects like blood distribution during natural disasters, multi-objective food supply chains under uncertainty, threat hunting, botnet detection, and ransomware.

🏆 Honors & Awards:

During his Master’s, Mani received an award for being among the top 10% of students based on GPA and thesis quality. Additionally, his role as a reviewer for esteemed journals like “Expert Systems with Applications” underscores his recognition in the academic community.

Professional Experience: 💼

With about 7 years of teaching experience, Mani has covered topics such as industrial engineering, operations research, big data, and programming. His expertise is also applied in consultancy and industry projects, enhancing practical applications of his research.

📚 Top Noted Publications :

Title: An improved ant colony optimization for the multi-trip Capacitated Arc Routing Problem
Authors: EB Tirkolaee, M Alinaghian, AAR Hosseinabadi, MB Sasi, AK Sangaiah
Journal: Computers & Electrical Engineering
Citation Index: 131
Year: 2019

Title: A robust multi-trip vehicle routing problem of perishable products with intermediate depots and time windows
Authors: EB Tirkolaee, A Goli, M Bakhsi, I Mahdavi
Journal: Numerical Algebra, Control & Optimization
Citation Index: 71
Year: 2017

Title: Solving a robust capacitated arc routing problem using a hybrid simulated annealing algorithm: a waste collection application
Authors: E Babaee Tirkolaee, M Alinaghian, M Bakhshi Sasi, MM Seyyed Esfahani
Journal: Journal of Industrial Engineering and Management Studies
Citation Index: 53
Year: 2016

Title: A Review on Main Challenges of Disaster Relief Supply Chain to Reduce Casualties in Case of Natural Disasters
Authors: A Goli, M Bakhshi
Journal: Journal of Applied Research on Industrial Engineering
Citation Index: 14
Year: 2017

Title: An Efficient Biography-Based Optimization Algorithm to Solve the Location Routing Problem With Intermediate Depots for Multiple Perishable Products
Authors: AKS Erfan Babaee Tirkolaee, Alireza Goli, Mani Bakhshi
Journal: Deep Learning and Parallel Computing Environment for Bioengineering Systems
Citation Index: 4
Year: 2019

Author Metrics 📊 : 

Mani’s research impact is reflected in his citation index of 273, showcasing the influence and reach of his work within the academic community.

📅 Research Timeline:

Mani’s research journey is marked by significant projects, from healthcare management in disaster scenarios during his Master’s to developing mechanisms for food security during his Ph.D. Currently, he is focused on cybersecurity, particularly in botnet detection, aiming to enhance threat detection accuracy and adaptability.

Dr Zhenqiang Wang | Civil Engineering | Best Researcher Award |

Dr. Zhenqiang Wang | Civil Engineering | Best Researcher Award.

Oregon State University,United States

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Dr. Zhenqiang Wang is a Postdoctoral Scholar at Oregon State University in the College of Earth, Ocean, and Atmospheric Sciences. With a strong background in civil engineering and a specialization in disaster risk and resilience, he is dedicated to advancing the understanding and mitigation of natural hazards through innovative research and application of advanced computational simulations and AI.

🎓 Education:

Dr. Wang earned his Ph.D. in Civil Engineering from Colorado State University in 2021. His dissertation focused on simulation-based tsunami evacuation risk assessment and risk-informed mitigation, under the supervision of Dr. Gaofeng Jia. He also holds an M.S. in Structural (Bridge) Engineering from Beijing Jiaotong University, where he worked on the construction monitoring and simulation of a 64 m span simply supported bridge on the Wenzhou–Fuzhou railway. His academic journey began with a B.S. in Civil Engineering from Hebei University.

🔍 Research Focus:

Dr. Wang’s research interests encompass disaster risk and resilience, climate change adaptation, the infrastructure-people-environment nexus, applied AI, advanced computational simulations, and reliability-based design. His work aims to develop frameworks that integrate modeling, field, and laboratory research to inform infrastructure design and improve community resilience under natural hazards.

🏆 Honors & Awards:

Dr. Wang has been recognized with several awards, including the Kenneth G. Medearis Scholarship from Colorado State University and the First Prize in the “2015 Excellent Design of Construction Project in Hunan Province.” He has also received multiple scholarships for outstanding academic performance during his undergraduate and graduate studies.

Professional Experience: 💼

Dr. Wang has extensive experience in both academia and industry. He currently serves as a Postdoctoral Scholar at Oregon State University and previously held a postdoctoral fellowship at Colorado State University. His industry experience includes roles as a structural engineer at CCCC Highway Consultants CO., Ltd., and the Transport Planning and Research Institute, Ministry of Transport, Beijing.

 📚 Top Noted Publications :

A Novel Agent-Based Model for Tsunami Evacuation Simulation and Risk Assessment
Authors: Z. Wang, G. Jia
Journal: Natural Hazards
Citation Index: 43
Year of Publication: 2021

Efficient Sample-Based Approach for Effective Seismic Risk Mitigation of Transportation Networks
Authors: Z. Wang, G. Jia
Journal: Sustainable and Resilient Infrastructure
Citation Index: 17
Year of Publication: 2020

Augmented Sample-Based Approach for Efficient Evaluation of Risk Sensitivity with Respect to Epistemic Uncertainty in Distribution Parameters
Authors: Z. Wang, G. Jia
Journal: Reliability Engineering & System Safety
Citation Index: 15
Year of Publication: 2020

Simulation-Based and Risk-Informed Assessment of the Effectiveness of Tsunami Evacuation Routes Using Agent-Based Modeling: A Case Study of Seaside, Oregon
Authors: Z. Wang, G. Jia
Journal: International Journal of Disaster Risk Science
Citation Index: 10
Year of Publication: 2022

Extended Sample-Based Approach for Efficient Sensitivity Analysis of Group of Random Variables
Authors: Z. Wang, G. Jia
Journal: Reliability Engineering & System Safety
Citation Index: 9
Year of Publication: 2023

Author Metrics 📊 : 

Dr. Wang’s research contributions have been widely recognized, with publications in high-impact journals. His work has been cited by peers in the field, demonstrating the significance and influence of his research on disaster risk and resilience.

📅 Research Timeline:

2022-Present: Postdoctoral Scholar at Oregon State University, focusing on coastal resilience and climate change adaptation.

2021-2022: Postdoctoral Fellow at Colorado State University, working on community resilience under natural hazards.

2017-2021: Graduate Research Assistant at Colorado State University, developing risk assessment frameworks for infrastructure systems.

2016-2017: Graduate Teaching Assistant at the University of Akron, contributing to courses in civil engineering.