Krzysztof Skrzypkowski | Mining Engineering | Best Researcher Award

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Assoc. Prof. Dr. Krzysztof Skrzypkowski | Mining Engineering | Best Researcher Award

Professor at AGH University of Krakow Faculty of Civil Engineering and Resource Management Department of Mining Engineering and Occupational Safety, Poland

Dr. hab. Krzysztof Skrzypkowski is a distinguished professor at AGH University of Science and Technology 🏫, specializing in mining engineering and geomechanics ⛏️. With a Ph.D. in Mining and Engineering Geology 🎓 and a D.Sc. in Environmental Engineering 🌍, his research focuses on rock bolt support systems and underground excavation safety 🛠️. He has led numerous international collaborations 🌐, contributed to over 100 publications 📚, and holds several patents for mining innovations 🔬. Recognized among the world’s top 2% scientists 🌟, Dr. Skrzypkowski continues to advance mining safety and engineering practices globally 🌎.

Professional Profile:

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🎓 Education & Experience 

  • 🎓 M.Sc. Eng. in Mining Engineering, AGH University of Science and Technology, 2007

  • 🎓 Ph.D. in Mining and Engineering Geology, AGH University, 2014

  • 🎓 D.Sc. Eng. in Environmental Engineering, Mining and Energy, AGH University, 2021

  • 💻 Postgraduate Studies in Software Engineering, AGH University, 2018

  • 🧑‍🏫 Assistant, Department of Underground Mining, AGH University (2007–2014)

  • 👨‍🏫 Assistant Professor, Department of Underground Mining, AGH University (2014–2021)

  • 👨‍🔬 Professor, Department of Mining Engineering and Occupational Safety, AGH University (2021–present)

📈 Professional Development 

Dr. Skrzypkowski has actively engaged in professional development through international research internships 🌍, including at VSB – Technical University of Ostrava 🇨🇿 and the Central Mining Institute in Katowice 🇵🇱. He has supervised and mentored students from various countries, fostering global academic collaborations 🤝. As head of the Bolting Laboratory 🔩 at AGH University, he has led innovative research projects, resulting in patented technologies for mining safety 🛡️. His involvement in editorial boards of esteemed journals 📖 and extensive peer-review contributions underscore his commitment to advancing the field of mining engineering and geomechanics 🏗️.

🔬 Research Focus 

Dr. Skrzypkowski’s research centers on underground mining safety and support systems ⛏️. He specializes in the design and optimization of rock bolt supports 🔩, investigating their performance under static and dynamic loads 📊. His work integrates laboratory experiments 🧪, numerical modeling 💻, and field studies to enhance the stability of underground excavations 🏗️. He has contributed to the development of photonic monitoring systems for rock mass behavior 📡, aiming to improve real-time safety assessments in mines 🛡️. His interdisciplinary approach bridges engineering principles with practical mining applications, advancing the field of geomechanics globally 🌐.

🏆 Awards & Honors 

  • 🥇 AGH Rector’s Award, Individual 1st Degree for Scientific Achievements (2021, 2022, 2023, 2024)

  • 🥈 AGH Rector’s Award, Individual 2nd Degree for Scientific Achievements (2020)

  • 🥉 AGH Rector’s Award, 3rd Degree Team Award for Organizational Achievements (2016, 2019, 2020, 2023)

  • 🎓 AGH UST Rector’s Award, 3rd Degree Team Award for Teaching Achievements (2016)

  • 🌟 Recognized among the World’s Top 2% Scientists by Stanford University (2022, 2023)

Publication Top Notes

1. Influence of Silicate Modulus and Eggshell Powder on Lightweight Geopolymer Foam Concrete

  • DOI: 10.3390/ma18092088

  • Published: 2025-05-02 in Materials

  • Focus: Investigates how varying the silicate modulus and incorporating eggshell powder affects expansion behavior, mechanical strength, and thermal conductivity in lightweight geopolymer foam concrete.

2. Examination of Stress Corrosion Cracking of Rock Bolts

  • DOI: 10.3390/ma18061275

  • Published: 2025-03-13 in Materials

  • Focus: Analyzes how stress corrosion cracking occurs in rock bolts when exposed to simulated underground environments, impacting long-term underground support systems.

3. Mechanical Behaviour of Rock Samples with Burst Liability

  • DOI: 10.3390/app15052760

  • Published: 2025-03 in Applied Sciences

  • Focus: Explores how different pre-cycling stress thresholds influence the mechanical responses of rock samples prone to burst failure.

4. Liquidation of Shallow-Lying Post-Mining Excavations

  • DOI: 10.3390/app15031023

  • Published: 2025-01-21 in Applied Sciences

  • Focus: Studies the techniques for safely stabilizing and closing shallow post-mining excavations.

5. Strata Control by Roof Blasting in Mechanized Depillaring Panels

  • DOI: 10.3390/app15031403

  • Published: 2025-01 in Applied Sciences

  • Focus: Examines roof blasting as a strata control method in bord and pillar mining during depillaring under mechanized conditions.

6. Preprint: Strata Control by Roof Blasting

7. Stability of Engineered Slopes Using DIPS and FLACSlope

  • DOI: 10.3390/app14219838

  • Published: 2024-10 in Applied Sciences

  • Focus: Evaluates the impact of rock strata orientation and water presence on slope stability using DIPS and FLACSlope software (case study: Tubatse and Fetakgomo).

8. Design Parameters Affecting Rill Swell in Block Caving

  • DOI: 10.3390/app14188545

  • Published: 2024-09 in Applied Sciences

  • Focus: Discusses how design variables influence rill swell events in block caving, affecting ore recovery efficiency and safety.

9. Enhanced Numerical Method for Rebar Anchorage

  • DOI: 10.3390/ma17163987

  • Published: 2024-08-11 in Materials

  • Focus: Proposes a refined computational model to analyze the anchoring behavior of rebars, enhancing structural safety in concrete engineering.

10. Effects of Coating on Cable Bolt Stress Corrosion

  • DOI: 10.3390/ma17143563

  • Published: 2024-07 in Materials

  • Focus: Investigates how different protective coatings affect stress corrosion in cable bolts in deep mining environments.

Conclusion

Dr. hab. Krzysztof Skrzypkowski exemplifies the highest standards of academic research excellence. His comprehensive and cross-disciplinary impact — spanning fundamental research, patentable innovation, industry application, global collaboration, and dedicated teaching — makes him an exceptionally deserving candidate for a Best Researcher Award. His work not only advances scientific understanding but also improves the safety and efficiency of real-world mining operations.

Mehri Aghdamigargari | Mining Engineering | Best Researcher Award

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Mrs. Mehri Aghdamigargari | Mining Engineering | Best Researcher Award

Mrs. Mehri Aghdamigargari, University of Arizona, United States

mehri aghdamigargari is currently a Ph.D. student in Mining Engineering at the University of Arizona, Tucson, United States, where she focuses on sustainable mine production planning. Her research is centered on multi-objective approaches that maximize net present value (NPV) while minimizing social impacts, such as blasting vibrations. She has a strong academic background in industrial engineering and mathematics, with advanced expertise in optimization, statistical modeling, and data analysis.

PROFILE

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Educational Details

Ph.D. in Mining Engineering
University of Arizona, Tucson, United States
GPA: 3.66/4
Thesis: “Sustainable Mine Production Planning: A Multi-Objective Approach for Maximizing NPV and Minimizing Social Impacts of Blasting Vibration”
Relevant Courses: Surface Mine Planning & Design, Optimization Methods, Data Analysis, Engineering Statistics
Dates: August 2023 – Present

Master of Science in Industrial Engineering – Economic and Social Systems
Bu-Ali Sina University, Hamedan, Iran
GPA: 17.05/20
Thesis: “Comparison Between the Performance of IMOLP and DNN Methods by Simulating Decision Maker’s Behavior and Proposing a Compound Method” (Grade: 19/20)
Dates: September 2007 – September 2010

Bachelor of Science in Industrial Engineering
Payame Noor University, Tabriz, Iran
GPA: 16.32/20
Final Project: “Using Simulation to Model Six Sigma Indices in Complex Processes with Variable Throughput Probability” (Grade: 20/20)
Dates: September 2015 – September 2017

Bachelor of Science in Mathematics – Teaching
Shahid Rajaee Teacher Training University, Tehran, Iran
GPA: 16.05/20
Dates: September 2002 – June 2006

 

Professional Experience

mehri aghdamigargari has a diverse professional background spanning research, teaching, and academic leadership. From January 2020 to August 2023, she served as a Research Assistant at Nazarbayev University in Nur-Sultan, Kazakhstan. In this role, she spearheaded various optimization projects aimed at enhancing industrial efficiency and reducing waste. Her work involved detailed data analysis and root cause investigation, which she skillfully communicated through comprehensive reports, presentations, and scientific publications—contributing to innovation in industrial systems and process reliability.

Prior to her research role, mehri spent over a decade teaching mathematics and statistics at the high school level in Tabriz, Iran, from September 2006 to January 2020. Her dedication to education helped students build strong foundations in quantitative subjects, preparing them for advanced studies and careers in STEM fields.

Additionally, from September 2011 to September 2016, mehri held a position as a Master & Lecturer at Payame Noor University in Jolfa, Iran, where she taught courses in statistics, operations research, and computer programming within the industrial engineering department. Her role not only involved teaching but also mentoring students in applied engineering practices, further honing her ability to convey complex concepts effectively. Through these experiences, mehri has developed a versatile skill set that integrates academic research, teaching, and industry applications, making her a valuable contributor to both educational and professional fields.

 Research Interests

mehri aghdamigargari’s research interests encompass a range of advanced analytical techniques and methodologies, including operations research, optimization, statistical and computational modeling, and data analysis with a focus on machine learning. Her work in operations research allows her to apply mathematical and analytical methods to make better decisions and solve complex problems in industries such as mining and manufacturing. Her expertise in optimization involves developing and implementing methods to improve efficiency and productivity, often balancing multiple objectives to maximize benefits while minimizing costs or environmental impacts.

In the field of statistical and computational modeling, mehri uses quantitative models to represent real-world processes, providing valuable insights into system behavior and enabling predictive analytics. Additionally, her skills in data analysis and machine learning allow her to process and analyze large datasets to uncover patterns and relationships, driving data-driven decision-making. Her combined expertise across these areas positions her at the forefront of research aimed at improving industrial systems through rigorous, data-informed approaches.

Awards, and Honors

Metallurgical Inputs to Integrated Planning Short Course – April 2024

Mine Engineering Inputs to Integrated Planning Short Course – October 2023

Data Analysis with Python – July 2024

Modeling and Optimization with Python – April 2024

Deep Learning Course – January 2023

Python Comprehensive Course – January 2022

Becoming a Student Assistant: Teaching and Mentoring – November 2022

Leadership Role: Head of Mathematics Department Student Science Group, Shahid Rajaee Teacher Training University (Sep 2004 – Jun 2006)

Editorial Membership: Mathematics Scientific Magazine Editorial Team (Sep 2004 – Jun 2006)

National Mathematics Olympics: Second Rank, City-Level – April 2000

Top Notable Publications

A hybrid mathematical modelling approach for energy generation from hazardous waste during the COVID-19 pandemic

Authors: J. Valizadeh, M. Aghdamigargari, A. Jamali, U. Aickelin, S. Mohammadi, et al.

Journal: Journal of Cleaner Production

Year: 2021

Volume: 315

Article Number: 128157

DOI: 10.1016/j.jclepro.2021.128157

Sustainability in Long-term Surface Mine Planning: A Systematic Review of Operations Research Applications

Authors: M. Aghdamigargari, S. Avane, A. Anani, S. O. Adewuyi

Journal: Sustainability

Year: 2024

Volume: 16(22)

Article Number: 9769

DOI: 10.3390/su16229769

Predicting the cumulative variation of 3-D mechanical assemblies using an ‘Idea Algebra’ framework

Authors: M. Aghdamigargari, C. Spitas

Journal: Journal of Engineering Design

Year: 2022

Volume: 33(6)

Pages: 441-460

DOI: 10.1080/09544828.2022.2070057

Two new hybrid algorithms for solving multi-objective linear programming problems

Authors: M. Aghdamigargari, A. Kheirkhah

Conference: 4th International Conference on Operation Research

Year: 2011

A hybrid algorithm using interior-point methods and neural networks for solving multi-objective linear programming problems

Authors: M. Aghdamigargari, A. Kheirkhah

Conference: International Conference on Operation Research

Year: 2010

Conclusion

In conclusion, Mrs. Mehri Aghdamigargari is a highly qualified candidate for the Best Researcher Award. Her exceptional academic background, diverse professional experience, and active engagement in research and technological advancements in the fields of industrial optimization and sustainability make her a standout candidate. Additionally, her technical expertise and teaching experience further highlight her contributions to the field of engineering. Therefore, she is highly deserving of this recognition for her ongoing commitment to excellence in research.