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

Published on by Leadership and Management

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 academic journey is marked by a solid foundation in electrical and computer engineering, which led him to pursue a Ph.D. in Electrical and Computer Engineering. His profound interest in machine learning, intelligent systems, and energy optimization was shaped early in his academic career. During his undergraduate and graduate studies, Dr. Khan exhibited a keen interest in innovative solutions to complex technological challenges, which he later carried into his research endeavors. His academic excellence set the stage for his future endeavors, which involve both theoretical exploration and practical applications of advanced technological concepts.

Professional Endeavors 💼

Dr. Khan’s professional career reflects a commitment to advancing the field of electrical and computer engineering, particularly in the areas of machine learning, intelligent systems, and energy optimization. As an Assistant Professor at the Lyle School of Engineering at Southern Methodist University (SMU), he has become a driving force in the academic development of students and the enhancement of the institution’s research output. He designed and delivered a wide range of undergraduate and graduate courses, equipping students with the knowledge to excel in the rapidly evolving fields of artificial intelligence, data-driven modeling, and optimization.

Before joining SMU, Dr. Khan accumulated extensive teaching experience at COMSATS University Islamabad, where he worked as an Assistant Professor. He also held the position of teaching faculty at Lancaster University, UK (Overseas Campus). His teaching philosophy revolves around fostering student engagement with complex topics such as machine learning, control systems, and renewable energy solutions. Dr. Khan’s courses have earned him a reputation for clarity, enthusiasm, and dedication to student success.

Dr. Khan has also demonstrated significant expertise in securing external research funding and fostering collaboration with key stakeholders in the industry. Through his ongoing and previous roles, he has led several research projects, including those focused on transportation electrification, 5G/6G network optimization, and renewable energy systems. These collaborations have facilitated groundbreaking research and real-world impact, particularly in marginalized sectors.

Contributions and Research Focus 🔬

Dr. Khan’s research focus spans several vital and transformative areas, including machine learning, data science, artificial intelligence (AI), renewable energy systems, and optimization techniques. His early work in machine learning and energy optimization laid the groundwork for his more recent contributions, which involve developing predictive models and optimizing complex systems. One of Dr. Khan’s most significant contributions is his work in energy optimization, particularly in transportation electrification, where he has helped develop models that integrate machine learning, artificial intelligence, and statistical methods to optimize systems in logistics, aviation, and energy.

His research in transportation electrification, in collaboration with the Dallas Chamber of Commerce, integrates technical solutions such as energy optimization with business objectives such as digital marketing. Through this project, Dr. Khan is directly addressing real-world challenges and contributing to the development of sustainable transportation solutions. His research on 5G/6G network optimization, with a particular focus on network security and efficiency, continues to influence how next-generation telecommunications systems are designed and deployed.

Dr. Khan has also made significant strides in the realm of Explainable AI (XAI) and machine learning. He has worked on projects that aim to make AI more understandable and transparent, which is a crucial aspect of increasing the adoption of AI technologies across industries. Furthermore, his interdisciplinary research that merges AI with cybersecurity and privacy protection has been instrumental in addressing some of the most pressing concerns of the digital age.

Accolades and Recognition 🏆

Dr. Khan’s contributions to the academic and research fields have not gone unnoticed. He has received multiple accolades for his research, particularly in the areas of AI, machine learning, and energy systems. His work in optimizing 5G/6G networks has earned him recognition from both academic peers and industry experts. Additionally, his leadership in research projects and the publication of peer-reviewed articles in high-impact journals has solidified his reputation as a thought leader in his field.

His ability to secure external funding for his research projects has further highlighted his capacity for driving academic and practical advancements. Dr. Khan’s work continues to contribute to the development of intelligent systems that have a far-reaching impact on both local and global scales.

Impact and Influence 🌍

Dr. Khan’s impact extends far beyond the classroom and the research lab. His work in transportation electrification, renewable energy, and AI continues to influence academic and industry trends. His research projects are directly aligned with global priorities, such as sustainable energy and technological advancements, and have the potential to shape the future of various industries, including transportation, energy, and telecommunications.

His engagement with the Dallas Chamber of Commerce on projects that address both technical and business objectives, including the integration of AI and digital marketing, exemplifies his commitment to bridging the gap between research and real-world applications. This approach has fostered partnerships and collaborations that further enhance the practical outcomes of his research.

Moreover, Dr. Khan’s contributions to academic mentorship have left a lasting mark. By guiding students through research projects and encouraging interdisciplinary collaboration, he has cultivated the next generation of researchers who are equipped to tackle complex global challenges.

Legacy and Future Contributions 🌟

Dr. Khan’s legacy is one of innovation, mentorship, and commitment to advancing the fields of AI, machine learning, and energy optimization. His ability to blend research excellence with practical, real-world applications ensures that his work will continue to influence various sectors for years to come. Dr. Khan’s contributions to academia and research will undoubtedly leave an enduring impact on the development of intelligent systems and the future of energy and telecommunications industries.

Looking ahead, Dr. Khan’s focus on expanding his research to address more pressing global challenges, such as climate change, sustainable development, and the ethical implications of AI, will further cement his role as a leader in the field. As a dedicated researcher and educator, he will continue to foster innovation and inspire future generations of scientists and engineers.

📝Notable Publications

 Robust Resampling and Stacked Learning Models for Electricity Theft Detection in Smart Grid

Authors: A Ullah, IU Khan, MZ Younas, M Ahmad
Journal: Energy Reports
Year: 2025

 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

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

Optimal Demand Supply Energy Management in Smart Grid

Author: IU Khan
Journal: PhD Thesis
Year: 2022

Big Data Analytics for Electricity Theft Detection in Smart Grids

Authors: IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma
Journal: IEEE PES PowerTech
Year: 2021

 

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

Published on by Leadership and Management

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

Southern Methodist University, United States

Profile

Google Scholar

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

Dr. Eleftheria Sfakianaki | Decision-making and Problem-solving | Best Researcher Award

Published on by Leadership and Management

Dr. Eleftheria Sfakianaki | Decision-making and Problem-solving | Best Researcher Award

Hellenic Open University, Greece

Profile 

Orcid 

Early Academic Pursuits 📚

Eleftheria Sfakianaki’s academic journey began in Heraklion, Crete, where she was born and completed her early education. She graduated from the General Lyceum of Heraklion in 1987. Her pursuit of higher education took her across Europe, starting with a degree in French language studies at the University Blaise Pascal of Clermont Ferraud in France (1991-1992). She then moved to the University Francois Rabelais, France, where she earned a Maitrise in Social and Organizational Psychology (1993-1995). This foundation was further strengthened by a Bachelor of Psychology from the University of Athens, Greece (2003-2005).

Eleftheria’s academic journey culminated in 2019 with a Ph.D. in Social Psychology from Panteion University of Athens. Her dissertation explored critical social psychology themes, reflecting her deep commitment to understanding societal dynamics and their psychological underpinnings.

Professional Endeavors 🌍

Eleftheria’s professional career spans several domains, primarily focusing on education and social work. Since 2007, she has been actively involved in European programs for NGOs, particularly those aimed at the inclusion of vulnerable social groups in Athens and Heraklion. Her work in this area underscores her dedication to social justice and community support.

In addition to her NGO work, Eleftheria has been a practicing psychologist and consultant specializing in professional orientation, adolescent counseling, and parental counseling since 2007. Her practice has helped numerous individuals navigate their personal and professional challenges, demonstrating her commitment to mental health and well-being.

Teaching Experience 🎓

Eleftheria’s teaching career is marked by significant contributions to higher education in Greece. From October 2021 to July 2023, she served as a collaborative teaching staff member at the Hellenic Open University. Here, she taught online courses in “Open and Distance Education” for the postgraduate program “Training in Education” and “Adult Education.”

Her tenure as a scientific collaborator at the Higher Pedagogical Training School – ASPETE (October 2018 – July 2022) involved teaching courses on “Counseling Psychology and Orientation,” “Professional Development Theories of Decision Making,” and “Human Resource Management & Labor Market.” Her ability to teach both in-person and online showcases her adaptability and expertise in modern educational methodologies.

Contributions and Research Focus 📑

Eleftheria’s research has made significant contributions to the field of social psychology. Her comparative study (1994-1995) on social representations of young Europeans between Greece and France highlighted her early interest in cross-cultural psychology. In 2017, she further explored social representations with a study on the negotiation of central-core elements in young persons’ perceptions of university life in Greece.

Her research has been published in various reputable journals. For instance, her 2024 publication in Acta Psychologica explores conditionality and the negotiation of core elements in university social representations. Another notable publication in the International Scientific Educational Journal “educ@tional circle” (2023) examines counseling and vocational counseling in secondary education for socially vulnerable groups.

Accolades and Recognition 🏆

Eleftheria’s work has earned her recognition within academic and professional circles. Her contributions to social psychology and her impactful research have been acknowledged through various publications and collaborations. Her expertise in using psychometric tools for personnel evaluation and professional orientation further highlights her skill set and dedication to her field.

Impact and Influence 🌟

Eleftheria’s impact extends beyond her research and professional practice. Her work with NGOs and vulnerable social groups demonstrates her commitment to social change and community empowerment. Through her teaching, she has influenced the next generation of educators and psychologists, instilling in them the values of empathy, critical thinking, and social responsibility.

Her publications have added valuable insights to the field of social psychology, influencing how social representations and professional development theories are understood and applied in educational settings.

Legacy and Future Contributions 🌍

Eleftheria Sfakianaki’s legacy is one of dedication to social justice, education, and psychological well-being. Her extensive work with NGOs and her research in social psychology have left a lasting impact on the communities she serves and the academic field.

Looking to the future, Eleftheria’s ongoing research and professional endeavors promise to continue contributing to our understanding of social dynamics and the development of effective educational and counseling practices. Her commitment to social change and her innovative approach to teaching and research will undoubtedly inspire future scholars and practitioners in the field of social psychology.

Publications 

Conditionality and the negotiation of core elements in university social representations

Authors: Not specified
Journal: Acta Psychologica
Year: 2024

Κοινωνικές αναπαραστάσεις των εκπαιδευτικών δευτεροβάθμιας εκπαίδευσης νομού Χανίων για την συμβουλευτική διάσταση του ρόλου τους στο σύγχρονο πολυπολιτισμικό σχολείο

Authors: Eleftheria Sfakianaki
Journal: Επιθεώρηση Συμβουλευτικής – Προσανατολισμού
Year: 2024

Counseling and Vocational Counseling in Secondary Education for Socially Vulnerable Groups

Authors: Eleftheria Sfakianaki; Philipopoulou Agoritsa
Journal: International Scientific Educational Journal “educ@tional circle”
Year: 2023