Amine Bechar | Artificiel Intelligence | Research Excellence Award

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Abdul Haseeb | Engineering | Best Researcher Award

Mr. Abdul Haseeb | Engineering | Best Researcher Award

Mr. Abdul Haseeb | University of Engineering and Technology | Pakistan

Mr.  Abdul Haseeb is a passionate and dedicated mechanical engineering student at the University of Engineering and Technology, Mardan. He strives to combine theoretical knowledge with practical skills to design innovative mechanical systems. Being fluent in English, Urdu, and Pushto, and with basic proficiency in Russian, Abdul excels in collaborating across diverse environments. His commitment to continuous learning, teamwork, and hands-on engineering makes him a promising young talent in the field. Whether solving complex mechanical problems or experimenting with equipment, Abdul approaches every challenge with enthusiasm and a strong drive for excellence.

Profile

Orcid

Education

Mr. Abdul is currently pursuing a degree in Mechanical Engineering at the University of Engineering and Technology, Mardan, where he has developed expertise in CAD design and engineering principles. Prior to this, he completed his FSc at Government Post Graduate College, Mardan, where he strengthened his leadership skills as a class representative. His academic foundation began at Army Public School and College, where he actively participated in debates, science fairs, and community-building activities. These experiences have shaped his analytical thinking, problem-solving abilities, and passion for mechanical innovation.

Experience

Although in the early stages of his professional journey, Abdul has built a strong technical foundation through academic projects and personal initiatives. His experience includes working with CAD tools such as SolidWorks and AutoCAD, performing engineering analysis in areas like statics, dynamics, and thermodynamics, and applying programming skills in C language. His growing expertise in simulations and research equips him to handle academic and industry-related challenges effectively. Through consistent learning and practice, Abdul continues to strengthen his practical knowledge and technical confidence, preparing for future engineering opportunities.

Research Interest

Mr. Abdul’s research interests are centered on mechanical systems design, CAD modeling and simulation, and the creation of sustainable and efficient mechanical solutions. He is intrigued by integrating engineering design with computational tools and programming to solve real-world challenges. His curiosity extends to automation and robotics, where he aims to explore advanced simulation and optimization techniques. Abdul aspires to contribute to innovative research that bridges traditional mechanical engineering principles with modern digital advancements, driving progress in the field.

Awards

Mr. Abdul has been recognized for his academic excellence, leadership, and extracurricular engagement throughout his education. At the university, his performance in CAD earned high distinction. In college, he served as a class representative, demonstrating leadership and organizational skills. During his school years, he actively participated in debates, speeches, and science exhibitions, gaining recognition for his innovative thinking and teamwork. These achievements reflect his adaptability, determination, and commitment to continuous personal and academic growth.

Publication 

Title: Drone Frame Optimization via Simulation and 3D Printing
Authors: Faris Kateb, Abdul Haseeb, Syed Misbah-Un-Noor, Bandar M. Alghamdi, Fazal Qudus Khan, Bilal Khan, Abdul Baseer, Masood Iqbal Marwat, Sadeeq Jan
Journal: Computers – MDPI

Conclusion

Mr. Abdul Haseeb represents the qualities of a dedicated learner and emerging mechanical engineer. With a strong academic foundation, practical technical skills, and a vision for innovative solutions, he is well-prepared to make meaningful contributions to the field. His adaptability, collaborative approach, and passion for continuous growth position him as a future leader in mechanical engineering. As he progresses in his academic and professional journey, Abdul remains committed to using his skills to create impactful engineering solutions that benefit both industry and society.

Prof. Dr. Javier Ruiz-del-Solar | Robotics | Best Researcher Award

Prof. Dr. Javier Ruiz-del-Solar | Robotics | Best Researcher Award

Universidad de Chile, Chile.

Javier Ruiz-del-Solar S. is a Chilean Full Professor at the Department of Electrical Engineering, Universidad de Chile, and Director of the Advanced Mining Technology Center. With a deep passion for robotics, AI, and mining tech, he has made remarkable contributions to academia and industry, mentoring the next generation of engineers and researchers.

Profile

Scopus
Orcid

🎓 Education

Prof. Dr. Javier Ruiz-del-Solar is a distinguished academic with a strong foundation in electrical and electronic engineering. He earned his Doctor-Engineer degree from the Technical University of Berlin, Germany in 1997. Prior to that, he obtained his M.Sc. in Electrical Engineering in 1992 and his undergraduate degree in Electrical Engineering in 1991 from the Universidad Técnica Federico Santa María, Chile. His academic trajectory reflects a solid commitment to excellence in engineering and research.

🧑‍🔬 Experience

Prof. Dr. Javier Ruiz-del-Solar has held numerous prominent academic and editorial positions throughout his career. He serves as a Full Professor at the Universidad de Chile, where he also directs the Advanced Mining Technology Center. His editorial contributions include being an Associate Editor for the IEEE Transactions on Cognitive and Developmental Systems (2017–2023) and a current Advisory Board Member of the Journal of Field Robotics (2022–2024). He also served as an Associate Editor for the Journal of Intelligent and Robotic Systems (2008–2017). In addition, Prof. Ruiz-del-Solar has been the Chairman of the IEEE Latin American Robotics Council since 2003, contributing significantly to the development of robotics research and collaboration across the region.

🔍 Research Interests

His work lies at the intersection of:

🤖 Robotics & Autonomous Systems

🧠 Artificial Intelligence & Deep Learning

⛏️ Mining Technology and Automation

🏆 Awards & Honors

🏅 Member, Chilean Academy of Engineering (since 2009)

🥇 Best Paper Award, RoboCup Symposium (2004, 2015, 2017)

🚀 RoboCup @Home Innovation Award (2007, 2008)

🎤 IEEE Distinguished Lecturer (2008–2009)

👨‍🏫 Best Teacher Award, Universidad de Chile (2007)

📚 Selected Publications

🛠️ Autonomous & Collaborative Mining Systems

1. The Road to the Mine of the Future: Autonomous Collaborative Mining

Journal: Mining (April 2025)
DOI: 10.3390/mining5020025
Key Themes:

Vision of fully autonomous, cooperative mining systems.

Integrates robotic systems, multi-agent collaboration, and intelligent decision-making.

Emphasis on safety, productivity, and sustainability in future mining operations..


🤖 Reinforcement Learning in Mining

2. Autonomous Loading of Ore Piles with Load-Haul-Dump Machines Using DRL

Journal: Expert Systems with Applications (March 2025)
DOI: 10.1016/j.eswa.2024.125770
Highlights:

Application of deep reinforcement learning to optimize ore loading in underground mining.

Demonstrates efficiency gains and reduced human intervention.

3. Control of Heap Leach Piles Using Deep Reinforcement Learning

Journal: Minerals Engineering (July 2024)
DOI: 10.1016/j.mineng.2024.108707
Highlights:

Uses DRL to optimize irrigation and aeration in heap leaching.

Potential for smarter, real-time process control in hydrometallurgy.


🍒 AI and Robotics Beyond Mining

4. Cherry CO Dataset: Detection, Segmentation, and Maturity Recognition

Journal: IEEE Robotics and Automation Letters (June 2024)
DOI: 10.1109/LRA.2024.3393214
Focus:

High-quality dataset for precision agriculture using computer vision.

Supports cherry detection and ripeness classification.