Assist. Prof. Dr. Ghulam Farid - Reinforcement Learning in Robotics - Best Researcher Award

Harbin Engineering University - China

Author Profile

Summary

Dr. Ghulam Farid is a robotics and control systems expert with a Ph.D. from Harbin Engineering University, China, specializing in aerial robotics. With six years of teaching and research experience at COMSATS University Islamabad and current postdoctoral work at HEU, he focuses on reinforcement learning-based motion planning and control. He has published over 30 research papers and contributes significantly to integrating artificial intelligence with robotics, particularly through the use of power electronics. His work bridges theory and real-world application, enhancing the development of intelligent, energy-efficient robotic systems.

Early academic pursuits

Ghulam Farid began his academic journey with a deep interest in automation and intelligent systems. His passion led him to pursue a Ph.D. in Control Science and Engineering from the College of Automation at Harbin Engineering University (HEU), China, which he successfully completed in 2018. During his doctoral studies, he focused on Reinforcement Learning in Robotics control and motion planning in aerial robotics, laying a strong foundation in system modeling, optimization, and power electronics, which later influenced his research trajectory.

Professional endeavors

Following the completion of his doctorate, Ghulam Farid served as an assistant professor at COMSATS University Islamabad, Pakistan, for six years. During this time, he was actively involved in teaching, mentoring students, and initiating research projects. His career later progressed with his return to HEU, where he is currently contributing Reinforcement Learning in Robotics as a postdoctoral fellow in the College of Intelligent Systems Science and Engineering. His current academic environment further supports his development in robotics and embedded systems enhanced by power electronics techniques.

Contributions and research focus

Dr. Farid’s research centers on robotics, particularly in reinforcement learning-based motion planning and control systems. His work involves integrating artificial intelligence algorithms with practical robotic applications, including autonomous navigation, dynamic environment adaptation, and efficient energy management systems. His contributions also extend to the design of intelligent controllers for unmanned systems, with an emphasis on system stability and Reinforcement Learning in Robotics performance improvements using modern control strategies and power electronics integration.

Impact and influence

With over 30 published papers in reputed international journals and conferences, Ghulam Farid has significantly impacted the robotics and control engineering community. His findings contribute to advancing smart robotic systems capable of self-learning and adaptation. He has been a sought-after collaborator in interdisciplinary projects, Reinforcement Learning in Robotics combining control systems, AI, and electrical engineering concepts, further emphasizing his influence in academia and applied research.

Academic cites

Dr. Farid’s scholarly output has gained increasing recognition, with citations reflecting the relevance and applicability of his work in various domains such as aerial robotics, autonomous systems, and intelligent control. His integration of reinforcement learning in robotic systems and his ability to link theoretical frameworks to practical applications are Reinforcement Learning in Robotics often referenced by researchers developing intelligent automation solutions.

Legacy and future contributions

As a dedicated researcher and educator, Ghulam Farid is positioned to leave a lasting legacy in the field of robotics and intelligent control systems. His ongoing projects aim to enhance robotic autonomy, develop smart collaborative machines, and improve energy-efficient designs using advanced power electronics solutions. In the future, he plans to lead Reinforcement Learning in Robotics large-scale interdisciplinary research initiatives and continue mentoring emerging scholars in the field of automation and control engineering.

Notable Publications

Title: Nonlinear and Adaptive Intelligent Control Techniques for Quadrotor UAV – A Survey
Authors: H. Mo, G. Farid
Journal: Asian Journal of Control
Year: 2019
Title: Modified A-Star (A) Approach to Plan the Motion of a Quadrotor UAV in Three-Dimensional Obstacle-Cluttered Environment*
Authors: G. Farid, S. Cocuzza, T. Younas, A. A. Razzaqi, W. A. Wattoo, F. Cannella, H. Mo
Journal: Applied Sciences
Year: 2022
Title: A Review on Linear and Nonlinear Control Techniques for Position and Attitude Control of a Quadrotor
Authors: G. Farid, M. Hongwei, S. M. Ali, Q. Liwei
Journal: Control and Intelligent Systems
Year: 2017
Title: A Review on Optimal Placement of Sensors for Cooperative Localization of AUVs
Authors: X. Bo, A. A. Razzaqi, G. Farid
Journal: Journal of Sensors
Year: 2019
Title: Optimal Geometric Configuration of Sensors for Received Signal Strength-Based Cooperative Localization of Submerged AUVs
Authors: X. Bo, A. A. Razzaqi, X. Wang, G. Farid
Journal: Ocean Engineering
Year: 2020

Conclusion

Dr. Farid’s journey reflects a strong commitment to advancing the fields of robotics and intelligent control systems. His contributions are shaping the next generation of autonomous machines, with a clear focus on innovation, energy efficiency, and real-time learning. Through continued research, international collaboration, and the integration of cutting-edge technologies like power electronics, he is well-positioned to leave a lasting academic and technological legacy in robotics and automation.

Summary

Dr. Seulki Lee, an associate professor at Kwangwoon university, is a leading academic in the field of construction engineering with a strong focus on digital transformation. her expertise spans digital knowledge representation, smart technology acceptance, off-site construction evaluation, and robotics simulation. with a comprehensive academic background from kwangwoon university and significant research experience at seoul national university, she has developed advanced methodologies integrating ontology, bim, digital twins, and power electronics. recognized by multiple prestigious awards, she continues to shape the future of construction technology through research, education, and mentorship.

Early academic pursuits

Dr. Seulki Lee’s academic journey began at Kwangwoon university, where she completed her bachelor’s degree in architectural engineering (2004–2008). her passion for construction and digital systems led her to pursue a master’s (2008–2010) and subsequently a ph.d. in construction management (2010–2014) from the same institution. Cognitive Robotics Systems her early research focused on integrating digital technologies with architectural processes—a foundation that continues to shape her work in domains such as building information modeling (bim), ontology, and power electronics in construction automation systems.

Professional endeavors

After earning her doctoral degree, Dr. lee served as a senior researcher at the institute of construction and environmental engineering, seoul national university (2014–2021). during this period, she deepened her expertise in simulation, prefabrication, and construction knowledge management. in march 2021, she returned to her alma mater, kwangwoon university, as an associate professor in the department of architectural engineering. her dual roles in research and academia have allowed her to mentor students, lead funded projects, and collaborate on national and international research initiatives, especially those integrating digital twins and robotics with power electronics.

Contributions and research focus

Digitalization of construction knowledge: She works on developing ontology-based frameworks for representing and automating reasoning over construction data using rdf, sparql, and large language models (llms). Smart technology acceptance and education: Her research explores how professionals adopt digital tools, focusing on the technology acceptance model (tam) and the development of Cognitive Robotics Systems effective safety-oriented training methods. Off-site construction and dfx evaluation: She has introduced structured evaluation systems for design for manufacturing and assembly (dfma) and quality control of prefabricated components. Construction robotics and simulation: She is a pioneer in integrating robot-friendly environments, bim, and digital twins to simulate and evaluate robotic task efficiency—especially in synergy with power electronics used in autonomous systems.

Impact and influence

Dr. Lee’s contributions have been recognized through numerous prestigious awards. these include the president’s commendation from the korean society of civil engineers (ksce) in 2025, the jeong won-seok special award in 2024, Cognitive Robotics Systems and multiple outstanding paper awards from kicem and aik. in addition, her student supervision excellence awards (2021–2024) highlight her role as a mentor and educator shaping the next generation of engineers.

Academic cites

Her work is frequently cited in areas of ontology-based construction knowledge, smart construction technologies, and construction robotics. she has contributed to numerous peer-reviewed publications and conference papers, often at the intersection of bim, simulation, and digital literacy. her academic visibility has made her a recognized authority in Cognitive Robotics Systems integrating semantic web technologies and ai reasoning into architectural and civil engineering workflows.

Legacy and future contributions

As a thought leader in the digitization of construction systems, dr. lee continues to influence policy, research, and education in smart construction. her future work aims to further automate decision-making processes through advanced reasoning engines and enhance human-robot collaboration for safer and more efficient work environments. with a Cognitive Robotics Systems commitment to standardization, sustainability, and educational reform, she is poised to leave a lasting legacy in both academia and industry.

Notable Publications

Title: Automated Inference of Context-Specific Hazards in Construction Using BIM and Ontology
Authors: [Author names not provided]
Journal: Automation in Construction
Year: 2025

Title: A Practical Image Augmentation Method for Construction Safety Using Object Range Expansion Synthesis
Authors: [Author names not provided]
Journal: Buildings
Year: 2025

Conclusion

Dr. Seulki Lee’s contributions reflect a deep commitment to modernizing construction practices through digital innovation and interdisciplinary integration. her impactful research in automation, smart education, and robotics-enabled environments—supported by technologies such as power electronics—positions her as a visionary leader in engineering. as construction rapidly evolves, her work will remain pivotal in fostering safer, smarter, and more efficient industry practices while inspiring future scholars and practitioners.