Assoc. Prof Dr. Hua Shang | Decision-making and Problem-solving |Best Researcher Award |

Assoc. Prof Dr. Hua Shang | Decision-making and Problem-solving |Best Researcher Award |

Dalian University of Technology, China

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Early Academic Pursuits 🎓

Hua Shang’s academic journey began with a Bachelor of Science degree in Civil Engineering from Dalian University of Technology (DUT) in 1998. Her keen interest in bridging engineering and management led her to pursue a Ph.D. in Technological Economics and Management at DUT, where she completed her doctoral studies in 2007. Her dissertation, titled Measurement and Evaluation of the Ecological Efficiency of Industrial Park, reflects her early commitment to addressing sustainability challenges in industrial ecosystems. During her doctoral research, she developed expertise in evaluating ecological efficiency—a theme that has remained central to her career.

Hua’s thirst for global academic exposure took her to the University of Leipzig, Germany, as a visiting scholar in 2005-2006. There, she delved into infrastructure and resource management, gaining valuable insights into international best practices. Later, as a visiting scholar at Yale University’s School of Forestry and Management in 2013-2014, she further honed her understanding of sustainability frameworks and ecological innovation.

Professional Endeavors and Leadership 📋

Dr. Shang began her career as a Lecturer at Fushun University’s Department of Civil Engineering from 1998 to 2002. This role allowed her to merge her engineering expertise with teaching, inspiring the next generation of professionals. Her transition into management sciences occurred in 2007 when she joined DUT’s School of Economics and Management as a Lecturer. Her exceptional contributions earned her promotion to Associate Professor in 2012.

Beyond her teaching responsibilities, Dr. Shang has taken on key leadership roles. Since 2011, she has served as the Assistant Director of the International Ecological Security Institute at DUT, where she works to foster interdisciplinary research and international collaboration. Additionally, her tenure as a staff member at the Office of the State Council Academic Degrees Committee (2007-2008) demonstrates her influence in shaping academic policies at the national level.

Contributions and Research Focus 🌱

Dr. Shang’s research primarily revolves around ecological efficiency, management science, and performance optimization for high-tech enterprises. Her postdoctoral research, titled Optimization of High-Tech Enterprise Performance Management Systems, addressed the challenges of balancing economic growth with environmental sustainability in high-tech industries.

Her work is characterized by its interdisciplinary approach, combining insights from management, engineering, and environmental science. Dr. Shang has contributed to several groundbreaking projects that explore the intersection of industrial ecology and sustainable development. As a member of prestigious organizations such as the International Institute of Chinese Management Research and the International Eco-Industrial Society, she continues to contribute to the global discourse on sustainable management practices.

Accolades and Recognition 🏆

Dr. Shang’s academic excellence and professional contributions have garnered her widespread recognition. As a reviewer for the National Natural Science Foundation since 2009, she has played a pivotal role in shaping research funding priorities in China. Her international experience and academic rigor have made her a sought-after scholar in the field of ecological management.

She has also been recognized for her teaching excellence and her ability to mentor doctoral students, helping them navigate complex interdisciplinary research areas. Her work has earned her the respect of peers, both in China and internationally.

Impact and Influence 🌏

Through her extensive research on ecological efficiency, Dr. Shang has provided actionable frameworks for improving the sustainability of industrial parks and enterprises. Her findings have influenced both academic research and practical implementation in industries seeking to balance profitability with environmental stewardship.

Her leadership at the International Ecological Security Institute has amplified her impact, fostering collaborations that address pressing ecological challenges at both local and global levels. Dr. Shang’s role as a visiting scholar at prestigious institutions like Yale and Leipzig further underscores her commitment to exchanging knowledge and fostering international cooperation.

Legacy and Future Contributions 🌟

As an Associate Professor and doctoral supervisor, Dr. Shang is shaping the future of ecological and economic management through her students and research initiatives. Her ability to integrate theory with practice ensures that her legacy will be one of tangible impact.

Looking forward, Dr. Shang aims to continue her work on optimizing ecological efficiency in emerging economies, particularly in the context of high-tech industries. Her vision includes developing innovative management frameworks that address global sustainability challenges, fostering a balance between economic growth and environmental preservation.

Through her relentless dedication, Hua Shang is leaving an indelible mark on the fields of ecological management and sustainability. Her contributions serve as a beacon for those striving to create a more sustainable future. 🌿

📝Notable Publications

High-power terahertz generation using large-area plasmonic photoconductive emitters

Authors: NT Yardimci, SH Yang, CW Berry, M Jarrahi
Journal: IEEE Transactions on Terahertz Science and Technology
Year: 2015

Electronically-controlled beam-steering through vanadium dioxide metasurfaces

Authors: MRM Hashemi, SH Yang, T Wang, N Sepúlveda, M Jarrahi
Journal: Scientific Reports
Year: 2016

7.5% optical-to-terahertz conversion efficiency offered by photoconductive emitters with three-dimensional plasmonic contact electrodes

Authors: SH Yang, MR Hashemi, CW Berry, M Jarrahi
Journal: IEEE Transactions on Terahertz Science and Technology
Year: 2014

Switchable scattering meta-surfaces for broadband terahertz modulation

Authors: M Unlu, MR Hashemi, CW Berry, S Li, SH Yang, M Jarrahi
Journal: Scientific Reports
Year: 2014

Globally stable microresonator Turing pattern formation for coherent high-power THz radiation on-chip

Authors: SW Huang, J Yang, SH Yang, M Yu, DL Kwong, T Zelevinsky, M Jarrahi, …
Journal: Physical Review X
Year: 2017

Dr. Inam Ullah Khan | Decision-making and Problem-solving |Excellence in Research

Dr. Inam Ullah Khan | Decision-making and Problem-solving |Excellence in Research

Southern Methodist University, United States

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Early Academic Pursuits 🎓

Dr. Inam Ullah Khan’s journey in academia began with a strong foundation in Electrical and Computer Engineering, culminating in a Ph.D. in this field. His early academic endeavors were marked by a passion for machine learning, intelligent systems, and energy optimization. During his graduate studies, he gained deep insights into the integration of advanced computational techniques with practical, real-world challenges, especially in renewable energy systems. His early research focused on optimization algorithms for energy management, exploring the potential of AI and machine learning in transforming energy systems into smarter, more efficient entities.

This phase of Dr. Khan’s academic journey set the stage for his later career, as he developed a keen interest in how technology can enhance the efficiency of various sectors, including transportation, logistics, and aviation. His academic work was characterized by the use of innovative approaches such as data-driven analysis, statistical modeling, and predictive analytics. These techniques helped him make important contributions to the development of systems that use big data for optimization and forecasting, a theme that would continue to shape his career.

Professional Endeavors 🔬

Dr. Khan’s professional journey is a testament to his ability to merge cutting-edge research with real-world applications. After completing his Ph.D., he transitioned to the role of Assistant Professor at the Lyle School of Engineering, Southern Methodist University (SMU), where he continues to shape the next generation of engineers. His teaching and research are centered around machine learning, intelligent systems, and renewable energy, with a focus on integrating these disciplines to create solutions for complex engineering problems. Dr. Khan is not only responsible for the academic development of his students but is also deeply involved in mentoring graduate students, advising on research projects, and helping them develop their own academic paths.

His involvement in high-impact projects, including the Transportation Electrification Project and 6G Networks Optimization, underscores his commitment to addressing global challenges in sectors like energy, cybersecurity, and telecommunications. By integrating his technical expertise with industry partnerships, Dr. Khan has proven his ability to lead large-scale, interdisciplinary research initiatives that span diverse fields.

Contributions and Research Focus 🔍

Dr. Khan’s contributions to machine learning, energy optimization, and intelligent systems have been significant and transformative. His research focuses on harnessing the power of data analytics and AI to solve real-world problems. In the Transportation Electrification Project, for instance, he develops predictive models that analyze large datasets to optimize transportation and logistics networks. These efforts are critical in the push for more sustainable energy solutions in the transportation sector.

In addition, Dr. Khan has worked on 5G/6G systems, optimizing network efficiency and security. His research on the integration of multimodal data from IoT sensors, edge devices, and cloud systems has led to novel insights in improving the performance and quality of service (QoS) in modern communication networks.

Through his work, Dr. Khan aims to bridge the gap between AI and real-world applications, making complex systems more efficient and secure, while also addressing pressing global challenges like climate change and cybersecurity.

Accolades and Recognition 🏆

Throughout his career, Dr. Khan has earned multiple accolades for his contributions to research and teaching. He has authored numerous peer-reviewed articles in prestigious journals, earning recognition from both academia and industry. His work has been presented at high-profile international conferences, where it has garnered attention from global experts in machine learning, AI, and renewable energy.

Dr. Khan’s expertise has also led to several research grants and external funding for his projects, particularly those that intersect with energy optimization and transportation electrification. His ability to secure funding is a testament to his innovative approach and the real-world impact of his work. Furthermore, he is regularly invited to contribute to academic and industry committees, further enhancing his reputation as a thought leader in his field.

Impact and Influence 🌍

Dr. Khan’s work has had a lasting impact on the fields of machine learning, energy systems, and telecommunications. His research on data-driven optimization for renewable energy has contributed significantly to the development of more efficient and sustainable energy solutions. By integrating AI with real-time data, Dr. Khan has helped shape the future of intelligent systems that support the transition to green energy.

His collaborations with industry partners, including the Dallas Chamber of Commerce, have helped to apply research insights to marginalized communities, demonstrating the social relevance of his work. Through his mentorship and teaching, Dr. Khan has influenced a new generation of engineers and researchers, encouraging them to pursue innovative solutions to global challenges.

Legacy and Future Contributions 🔮

Dr. Khan’s legacy is already being shaped by his contributions to machine learning, renewable energy, and telecommunications. His work is helping to transform industries, making them more efficient, secure, and sustainable. Looking ahead, Dr. Khan plans to continue his research in AI-driven energy optimization and expand his focus on smart cities, transportation electrification, and sustainable development. He is committed to furthering the integration of AI in real-world applications, particularly in renewable energy systems and cybersecurity, ensuring that technology continues to benefit society at large.

Through his ongoing efforts in education, research, and community engagement, Dr. Khan is poised to leave an enduring mark on both academia and industry. His future work promises to continue pushing the boundaries of engineering innovation, tackling global challenges, and making the world a smarter, safer, and more sustainable place.

📝Notable Publications

Heuristic algorithm based optimal power flow model incorporating stochastic renewable energy sources

Authors: IU Khan, N Javaid, KAA Gamage, CJ Taylor, S Baig, X Ma

Journal: IEEE Access

Year: 2020

A Stacked Machine and Deep Learning-Based Approach for Analysing Electricity Theft in Smart Grids

Authors: IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma

Journal: IEEE Transactions on Smart Grid

Year: 2022

Robust Data Driven Analysis for Electricity Theft Attack-Resilient Power Grid

Authors: IU Khan, N Javaid, CJ Taylor, X Ma

Journal: IEEE Transactions on Power Systems

Year: 2023

Optimal power flow with uncertain renewable energy sources using flower pollination algorithm

Authors: M Abdullah, N Javaid, IU Khan, ZA Khan, A Chand, N Ahmad

Journal: Advanced Information Networking and Applications: Proceedings of the 33rd …

Year: 2020

Big Data Analytics based Short Term Load Forecasting Model for Residential Buildings in Smart Grids

Authors: IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma

Journal: IEEE INFOCOM 2020 – IEEE Conference on Computer Communications Workshops

Year: 2020