Md. Kamrul Islam | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Md. Kamrul Islam | Engineering | Best Researcher Award

Assoc. Prof. Dr. Md. Kamrul Islam, King Faisal University, Saudi Arabia 

Dr. Md. Kamrul Islam, an Australian national, currently serves as an Associate Professor at King Faisal University, KSA. With over two decades of experience in civil and transportation engineering, he holds a PhD from the University of New South Wales, Australia, and advanced degrees from the University of Tokyo and DUET, Bangladesh. Dr. Islam’s research focuses on stochastic modeling, asphalt performance, and public transport systems. He has successfully led more than 50 research projects funded by Deanship of Scientific Research and collaborated with premier institutions like University of Illinois and Texas A&M. His excellence has been recognized with prestigious awards such as the Furuichi Kimitake Prize and Institute Gold Medal. Dr. Islam is also a proactive academic mentor, guiding numerous undergraduate projects and contributing to international academic collaborations. His technical, analytical, and conceptual skills have made a significant impact on the field of engineering.

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Summary of Suitability for the Research for Best Researcher Award – Md. Kamrul Islam

Dr. Md. Kamrul Islam, affiliated with King Faisal University, Saudi Arabia, and an Australian citizen, presents a promising profile for the Research for Best Researcher Award. As a faculty member at a reputed institution in the Gulf region, he is likely engaged in cutting-edge research and academic collaboration, contributing significantly to his field. His dual academic and cultural experience, having connections in both Australia and the Middle East, potentially strengthens his international outreach and research dissemination impact.

Given the rigorous environment of King Faisal University, which emphasizes innovation and scholarly contributions, Dr. Islam’s ongoing involvement likely includes authoring peer-reviewed articles, mentoring postgraduate researchers, and participating in international conferences. If his work spans applied or interdisciplinary domains, it would further align with the award’s emphasis on impactful and forward-looking research contributions.

🎓 Education 

Dr. Md. Kamrul Islam’s academic journey showcases his deep-rooted expertise in transportation and civil engineering. He earned his PhD in Transportation Engineering from the University of New South Wales, Australia, in 2014. His doctoral thesis focused on stochastic modeling of public transit performance, leading to several high-impact journal publications. Prior to this, he obtained his Master’s in Engineering with a major in Transportation Planning from the University of Tokyo, Japan, in 2006. His master’s research on urban systems and consumption behavior across East Japan equipped him with advanced simulation and data analysis skills. Dr. Islam began his academic pursuit with a B.Sc. in Civil Engineering from DUET, Bangladesh, in 2002, where he graduated with top honors and was later accredited by Engineers Australia as meeting professional engineer standards. His educational background has laid the foundation for his exceptional contributions to engineering research and teaching.

💼 Professional Experience

Dr. Md. Kamrul Islam has extensive academic and industry experience. He is currently an Associate Professor (since September 2024) and was formerly an Assistant Professor (2015–2024) at the Department of Civil and Environmental Engineering, King Faisal University (KFU), KSA. At KFU, he spearheaded multi-institutional research collaborations and managed projects under the Saudi Aramco Chair on Asphalt Pavement. Before joining KFU, he held faculty positions at DUET, Bangladesh, from 2003 to 2015, progressing from Lecturer to Assistant Professor. His international experience includes roles as a Casual Graduate Academic at UNSW, Australia, and as a Civil Engineer at Pacific Consultant International in Japan, where he contributed to deep-sea port planning. Earlier, he worked as a Project Implementation Officer for the Ministry of Food and Disaster Management, Bangladesh. Throughout his career, he has balanced rigorous academic teaching, research leadership, and field-level infrastructure planning with exceptional professionalism.

🏅 Awards and Recognition

Dr. Md. Kamrul Islam’s outstanding academic and research contributions have earned him multiple prestigious accolades. In 2006, he received the Furuichi Kimitake Prize from the University of Tokyo for excellence in engineering graduation, recognizing his innovative thesis and academic merit. Earlier, in 2002, he was honored with the Institute Gold Medal by the Board of Governors of DUET, Bangladesh, for securing top marks in his undergraduate studies. His research success is further exemplified by securing and completing over 50 research projects sponsored by the Deanship of Scientific Research (DSR) at King Faisal University. These achievements are a testament to his commitment to advancing engineering through research, innovation, and academic collaboration. Additionally, his role in fostering international research networks and mentoring undergraduate students highlights his dedication to academic excellence and leadership in civil and transportation engineering.

🌍 Research Skill On Engineering

Dr. Md. Kamrul Islam exhibits a dynamic portfolio of advanced research skills. He specializes in transportation engineering, stochastic modeling, and asphalt material performance. His PhD research demonstrated his ability to analyze complex transit systems using computational techniques and large-scale algorithms in MATLAB. At KFU, he led multidisciplinary projects addressing sulfur-extended asphalt, pavement benchmarking, and life-cycle assessments. Dr. Islam has developed significant expertise in analytical modeling, data simulation, and numerical approximation, often applied to real-world transport networks. His work involves integrating academic theory with field-based applications, allowing for policy-relevant insights and innovations in civil infrastructure. He has also mastered collaborative research management, coordinating with leading institutions in the USA and Japan. With strong technical acumen, conceptual clarity, and problem-solving approaches, he continues to contribute to academic advancement and sustainable engineering solutions.

📖  Publication Top Notes

  • Title: A review of the evolution of technologies to use sulphur as a pavement construction material
    Authors: N. Sakib, A. Bhasin, M.K. Islam, K. Khan, M.I. Khan
    Journal: International Journal of Pavement Engineering, 22(3), 392-403
    Citations: 40
    Year: 2021

  • Title: Towards sustainable road safety in Saudi Arabia: Exploring traffic accident causes associated with driving behavior using a Bayesian belief network
    Authors: M.M. Rahman, M.K. Islam, A. Al-Shayeb, M. Arifuzzaman
    Journal: Sustainability, 14(10), 6315
    Citations: 33
    Year: 2022

  • Title: Climate change in Bangladesh: Temperature and rainfall climatology of Bangladesh for 1949–2013 and its implication on rice yield
    Authors: E. Alam, A.E.E. Hridoy, S.M.S.H. Tusher, A.R.M.T. Islam, M.K. Islam
    Journal: PLOS ONE, 18(10), e0292668
    Citations: 29
    Year: 2023

  • Title: Predicting road crash severity using classifier models and crash hotspots
    Authors: M.K. Islam, I. Reza, U. Gazder, R. Akter, M. Arifuzzaman, M.M. Rahman
    Journal: Applied Sciences, 12(22), 11354
    Citations: 28
    Year: 2022

  • Title: Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh
    Authors: S.K. Sarkar, R.R. Rudra, A.R. Sohan, P.C. Das, K.M.M. Ekram, S. Talukdar, …
    Journal: Scientific Reports, 13(1), 17056
    Citations: 24
    Year: 2023

  • Title: A bulk queue model for the evaluation of impact of headway variations and passenger waiting behavior on public transit performance
    Authors: M.K. Islam, U. Vandebona, V.V. Dixit, A. Sharma
    Journal: IEEE Transactions on Intelligent Transportation Systems, 15(6), 2432-2442
    Citations: 23
    Year: 2014

  • Title: Reliability analysis of public transit systems using stochastic simulation
    Authors: M.K. Islam, U. Vandebona
    Journal: Not specified
    Citations: 21
    Year: 2010

  • Title: Greenhouse gas emissions in the industrial processes and product use sector of Saudi Arabia—An emerging challenge
    Authors: M.M. Rahman, M.S. Rahman, S.R. Chowdhury, A. Elhaj, S.A. Razzak, …
    Journal: Sustainability, 14(12), 7388
    Citations: 20
    Year: 2022

  • Title: A critical, temporal analysis of Saudi Arabia’s initiatives for greenhouse gas emissions reduction in the energy sector
    Authors: M.M. Rahman, M.A. Hasan, M. Shafiullah, M.S. Rahman, M. Arifuzzaman, …
    Journal: Sustainability, 14(19), 12651
    Citations: 19
    Year: 2022

  • Title: Flood hazard mapping using GIS-based statistical model in vulnerable riparian regions of sub-tropical environment
    Authors: A. Ghosh, U. Chatterjee, S.C. Pal, A.R.M. Towfiqul Islam, E. Alam, M.K. Islam
    Journal: Geocarto International, 38(1), 2285355
    Citations: 18
    Year: 2023

Shagufta Riaz | Engineering | Women Researcher Award

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Dr. Shagufta Riaz | Engineering | Women Researcher Award

Dr. Shagufta Riaz, National Textile University, Pakistan 

Dr. Shagufta Riaz is an Assistant Professor in the Department of Textile Engineering at National Textile University, Faisalabad, Pakistan. With a Ph.D. in Textile Engineering, she specializes in functional textiles, focusing on the use of nanomaterials for textile development. Dr. Riaz has authored several influential publications and has completed various high-impact research projects. She has worked as a researcher at the Wilson School of Textiles in the USA and is actively involved in advancing textile innovations. A member of prestigious international organizations like the Textile Institute and the Pakistan Engineering Council, Dr. Riaz is committed to sustainable textile solutions.

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Suitability of Dr. Shagufta Riaz for the Research for Women Researcher Award

Dr. Shagufta Riaz is a highly accomplished researcher in textile engineering, specializing in functional textiles and nanotechnology applications. Her extensive academic background, including a Ph.D. in Textile Engineering and international research experience at the Wilson School of Textiles, NCSU, USA, demonstrates her expertise in the field. She has significantly contributed to the advancement of sustainable textile innovations, textile finishing, and the development of nanomaterials for multifunctional textile applications. As an HEC Ph.D. Approved Supervisor and a Fellow of the Textile Institute, UK, she has played a crucial role in mentoring young researchers and advancing academic excellence in textile engineering.

Her research portfolio includes several high-impact projects funded at both national and international levels, focusing on crucial areas such as RF-shielding maternity garments, recycling of cellulosic waste for graphene quantum dots, and sustainable bio-processing in textile manufacturing. Additionally, her collaborations with industry highlight her ability to bridge the gap between academic research and practical industrial applications. Notable projects include the development of antibacterial medical gauze, pesticide-resistant clothing, and UV-shielding protective garments, which showcase her commitment to improving textile functionality for real-world challenges.

🎓 Education

Dr. Shagufta Riaz holds a Ph.D. in Textile Engineering from National Textile University, Faisalabad, Pakistan, where she also completed her M.Sc. in Textile Advanced Materials Engineering and B.Sc. in Textile Engineering with distinctions. She further honed her skills as a researcher at the Wilson School of Textiles, North Carolina State University, USA. This educational foundation, coupled with her hands-on research experience, forms the backbone of her expertise in nanotechnology, textile finishing, and sustainable textile innovations.

💼 Professional Experience

Dr. Shagufta Riaz is an Assistant Professor at National Textile University, Faisalabad. She has led and collaborated on multiple research projects, including those in partnership with international institutions and the textile industry. Her professional experience spans research in textile engineering, focusing on nanomaterials and sustainable solutions. Dr. Riaz has consulted on industry projects to optimize processes in textile production, such as designing protective garments and improving fabric properties. Her role as a Ph.D. supervisor and her recognition as a Fellow of the Textile Institute, UK, highlight her significant contribution to academia and industry.

🏅 Awards and Recognition

Dr. Shagufta Riaz’s academic excellence is evidenced by her recognition as a Fellow of the Textile Institute, UK, and a Lifetime Member of the Pakistan Engineering Council. She has received multiple accolades for her contributions to textile engineering, including a significant number of awards for her research in nanotechnology and textile innovations. Her work, recognized internationally, is reflected in numerous high-impact publications and the completion of major research and consultancy projects in collaboration with the textile industry.

🌍 Research Skills On Engineering

Dr. Riaz is an expert in nanotechnology applications in textile engineering, particularly for the development of multifunctional textiles. Her research focuses on the integration of nanomaterials to enhance textile properties such as antimicrobial, UV resistance, and electrical shielding. She has completed several research projects under government and industry funding, contributing valuable advancements in sustainable textiles, functional finishes, and eco-friendly processes. Dr. Riaz’s skills extend to guiding doctoral research and publishing in prestigious journals, marking her as a leading researcher in textile engineering.

📖 Publication Top Notes

  • Fabrication of robust multifaceted textiles by application of functionalized TiO₂ nanoparticles

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus
    • Citations: 95
    • Year: 2019

  • Functional finishing and coloration of textiles with nanomaterials

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Rehman, A. Javid, K. Iqbal, …
    • Citations: 77
    • Year: 2018

  • Modification of silica nanoparticles to develop highly durable superhydrophobic and antibacterial cotton fabrics

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain
    • Citations: 58
    • Year: 2019

  • Electrospun nanofiber-based viroblock/ZnO/PAN hybrid antiviral nanocomposite for personal protective applications

    • Authors: A. Salam, T. Hassan, T. Jabri, S. Riaz, A. Khan, K.M. Iqbal, S. Khan, M. Wasim, …
    • Citations: 41
    • Year: 2021

  • Cationization of TiO₂ nanoparticles to develop highly durable multifunctional cotton fabric

    • Authors: S. Riaz, M. Ashraf, H. Aziz, A. Younus, M. Umair, A. Salam, K. Iqbal, …
    • Citations: 31
    • Year: 2022

  • Layer by layer deposition of PEDOT, silver and copper to develop durable, flexible, and EMI shielding and antibacterial textiles

    • Authors: S. Riaz, S. Naz, A. Younus, A. Javid, S. Akram, A. Nosheen, M. Ashraf
    • Citations: 26
    • Year: 2022

  • Multifunctional formaldehyde-free finishing of cotton by using metal oxide nanoparticles and eco-friendly cross-linkers

    • Authors: N. Sarwar, M. Ashraf, M. Mohsin, A. Rehman, A. Younus, A. Javid, K. Iqbal, …
    • Citations: 24
    • Year: 2019

  • In situ development and application of natural coatings on non-absorbable sutures to reduce incision site infections

    • Authors: R. Masood, T. Hussain, M. Umar, Azeemullah, T. Areeb, S. Riaz
    • Citations: 21
    • Year: 2017

  • Selection and Optimization of Silane Coupling Agents to Develop Durable Functional Cotton Fabrics Using TiO₂ Nanoparticles

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus, M. Raza, A. Nosheen
    • Citations: 20
    • Year: 2021

  • Simultaneous fixation of wrinkle-free finish and reactive dye on cotton using response surface methodology

    • Authors: S. Abid, T. Hussain, A. Nazir, Z.A. Raza, A. Siddique, A. Azeem, S. Riaz
    • Citations: 16
    • Year: 2018

Yakshansh Kumar | Engineering | Best Researcher Award

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Mr. Yakshansh Kumar | Engineering | Best Researcher Award

Mr. Yakshansh Kumar, Delhi Technological University, India

Yakshansh Kumar is a highly motivated researcher and academician in the field of Civil Engineering, with a specialization in Pavement-Soil Dynamics. Currently pursuing his PhD at Delhi Technological University, he focuses on dynamic response analysis of pavement-soil systems using piezo sensors. He has actively contributed to several publications and international conferences, establishing himself as a promising expert in geotechnical engineering. Passionate about advancing knowledge and fostering innovation, Yakshansh is also involved in mentoring students and advancing research projects. His dedication and commitment are evident in his academic achievements and research pursuits.

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Summary of Suitability for the “Research for Best Researcher Award”

Yakshansh Kumar is a promising and dedicated researcher with a strong academic foundation and a demonstrated commitment to advancing the field of civil and geotechnical engineering, particularly in pavement-soil dynamics. Currently pursuing a Ph.D. at Delhi Technological University, his research focus on dynamic response analysis of pavement-soil systems using piezo sensors exemplifies his innovative approach to solving complex engineering challenges. His research is not only theoretically robust but also applied, with funding from the university’s IRD and the use of experimental testing and finite element analysis in his investigations.

Kumar’s publication record is impressive, with multiple articles in high-impact journals such as International Journal of Non-Linear Mechanics (SCIE, Q1) and Journal of Vibration Engineering and Technologies (SCIE, Q2). He has contributed to the scientific community with key insights on dynamic load vibrations, piezo-dynamics, and the role of machine learning in geotechnical analysis. His research has garnered attention on both national and international platforms, demonstrated by his active participation in numerous conferences, where he has won awards for best technical papers.

🎓  Education

Yakshansh Kumar holds a PhD in Civil Engineering from Delhi Technological University (DTU), where he is conducting research on the dynamic analysis of pavement-soil systems. He earned his Master’s degree in Geotechnical Engineering from DTU, achieving a CGPA of 7.49. He completed his Bachelor’s degree in Civil Engineering at Hindu College of Engineering (affiliated with DCRUSTM) with a CGPA of 6.37. Throughout his academic career, Yakshansh has demonstrated a strong foundation in engineering principles, with a specific interest in soil dynamics and pavement systems. His rigorous research work has led to multiple scholarly contributions in well-regarded journals and international conferences.

💼 Professional Experience

Yakshansh Kumar has an extensive academic and research background. He is currently working on his PhD project, funded by the IRD-DTU, which focuses on pavement-soil dynamics using piezo sensors for experimental testing and finite element analysis. As part of his professional journey, Yakshansh has contributed to several research papers, conferences, and has collaborated with experts in geotechnical engineering. He has also participated as a reviewer in esteemed journals such as Transportation Infrastructure Geotechnology. In addition to his research, he has attended workshops and seminars, including a national seminar on Science Day and faculty development programs, showcasing his dedication to continuous learning. His involvement in teaching and research continues to shape his career path.

🏅  Awards and Recognition

Yakshansh Kumar has been recognized for his outstanding contributions to research and academic excellence. He was awarded the Best Technical Paper Award for his work on “Velocity Induced Post Elastic Response of Pavements” presented at the Sustainable Infrastructure: Innovations, Opportunities, and Challenges (SIIOC 2024). In addition, his paper on “Post Elastic Response of Pavement Subjected to Moving Load” received the Best Paper Award at the International Online Conference on Energy Science (ICES 2021). His work has been published in high-impact journals such as the International Journal of Non-Linear Mechanics and Journal of Vibration Engineering and Technologies. He has also been recognized as a reviewer for journals and international conferences, reflecting his academic credibility and recognition in the field of geotechnical engineering.

🌍 Research Skills On Engineering

Yakshansh Kumar possesses strong research skills, particularly in the areas of pavement-soil dynamics, finite element analysis, and piezo-dynamics of geomaterials. His expertise lies in dynamic response analysis using experimental testing and numerical modeling. His ongoing PhD project focuses on piezo sensors and their application to pavement systems, supported by funding from IRD-DTU. Yakshansh has demonstrated his proficiency in using advanced software for computational modeling and simulations, as well as conducting real-world experimental tests. His research contributes to understanding the behavior of pavements under dynamic loads, which is vital for improving infrastructure performance. His skills are complemented by his ability to collaborate with peers, present research at conferences, and publish in well-regarded journals.

📖 Publication Top Notes

  • Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2023). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
    • Year: 2023

  • Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
    • Year: 2024

  • Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads. Journal of Vibration Engineering & Technologies, 12(3), 3543-3562.
    • Year: 2024

  • Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials. Journal of Vibration Engineering & Technologies, 1-20.
    • Year: 2024

  • Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load

    • Authors: A Boban, P Pateriya, Y Kumar, K Gaur, A Trivedi
    • Citation: Boban, A., Pateriya, P., Kumar, Y., Gaur, K., & Trivedi, A. (2024). Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load. AI in Civil Engineering, 3(1), 2.
    • Year: 2024

  • Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials

    • Authors: P Kumar, Y Kumar, A Trivedi
    • Citation: Kumar, P., Kumar, Y., & Trivedi, A. (2023). Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials. International Conference on Interdisciplinary Approaches in Civil Engineering.
    • Year: 2023

  • Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load

    • Authors: A Boban, Y Kumar, A Trivedi
    • Citation: Boban, A., Kumar, Y., & Trivedi, A. (2023). Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load. International Conference on Sustainable Infrastructure: Innovation.
    • Year: 2023

  • Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials

    • Authors: Y Kumar, A Trivedi, SK Shukla
    • Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials. Available at SSRN 5002829.
    • Year: 2024

AWAIS KHAN | Engineering | Best Researcher Award

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Assist. Prof. Dr. AWAIS KHAN | Engineering | Best Researcher Award

👤 Assist. Prof. Dr. AWAIS KHAN, Beijing Institute of Technology Zhuhai Campus, China

Dr. Awais Khan is an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, specializing in advanced control systems, renewable energy technologies, and interval observers. With a PhD in Control Theory and Control Engineering from South China University of Technology, Dr. Khan has made significant contributions to mechatronics and control engineering during his tenure as a Postdoctoral Research Fellow at Shenzhen University. His research is recognized for its innovative approach, particularly in the application of control systems in energy-efficient technologies. A prolific researcher and published author, Dr. Khan has been actively involved in securing research funding and publishing in top-tier journals. His passion for both teaching and research allows him to foster a dynamic learning environment for students while contributing to the advancement of technology in engineering and energy sectors.

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🌟 Summary of Suitability for the Research for Best Researcher Award

Awais Khan’s impressive academic background and research trajectory make him highly suitable for the Research for Best Researcher Award. He currently serves as an Assistant Professor at the Beijing Institute of Technology, where he leads cutting-edge research in advanced control systems, renewable energy technologies, and interval observers. His teaching excellence, combined with his groundbreaking research contributions, aligns well with the award’s criteria, which honors those making significant academic and technological advancements.

Awais Khan’s postdoctoral experience at Shenzhen University further solidifies his research prowess, particularly in mechatronics and control engineering. His work has been recognized in reputable journals, with a consistent record of impactful publications in high-impact platforms such as IEEE Transactions and the Journal of the Franklin Institute. He has demonstrated leadership in securing research funding and fostering interdisciplinary collaboration.

🎓   Education 

Dr. Awais Khan holds a PhD in Control Theory and Control Engineering from the South China University of Technology (2016–2020), where his research focused on interval observers and their applications to control theory. Prior to that, he earned a Master’s degree in Electrical Engineering from the University of Engineering and Technology (UET) Lahore (2014–2016). Dr. Khan’s academic journey began with a Bachelor of Science in Electronics Engineering from UET Peshawar (2009–2013), which laid the foundation for his expertise in engineering and control systems. Throughout his academic career, he has received several scholarships, including the prestigious Chinese Government Scholarship for his PhD studies. His educational background is complemented by his active participation in various research projects, workshops, and technical conferences, enabling him to stay at the forefront of advancements in control systems, renewable energy technologies, and energy-efficient engineering solutions.

💼   Professional Experience 

Since 2022, Dr. Awais Khan has been an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, where he teaches a range of courses, including C/C++, Probability & Statistical Analysis, Circuits & Electronics, and Physics. His role involves both delivering high-quality lectures and conducting groundbreaking research in advanced control systems, renewable energy, and interval observers. Prior to this, Dr. Khan was a Postdoctoral Research Fellow at Shenzhen University (2020–2022), where he worked on mechatronics and control engineering, developing innovative technologies in interdisciplinary research collaborations. His work on interval observers for nonlinear systems garnered attention, leading to publications in reputable journals. Dr. Khan has also contributed to National Natural Science Foundation of China projects, enhancing the understanding of control systems in uncertain environments. His teaching and research experience are central to his contributions to the field, shaping future engineers and advancing the integration of energy-efficient technologies.

🏅 Awards and Recognition 

Dr. Awais Khan has been recognized for his outstanding contributions to control systems and engineering through several prestigious awards and honors. Notably, he received the Best Presentation Award at the EECR in 2018, reflecting his excellence in research communication. His doctoral research, supported by the Chinese Government Scholarship, marked a milestone in the development of interval observers for linear and nonlinear systems. In addition, Dr. Khan serves as an editor for Technological Innovations & Energy and has been an active member of professional organizations, such as the IEEE and the International Association of Engineers, since 2024. His scholarly work has been widely recognized, with numerous publications in leading journals and conferences. He continues to secure research grants, supporting the advancement of innovative technologies in control systems and energy efficiency. Dr. Khan’s contributions to both academia and the engineering community have made him a respected figure in the field.

🌍  Research Skills On Engineering

Dr. Awais Khan possesses a deep proficiency in advanced control systems, renewable energy technologies, and interval observers. His research expertise spans control theory, nonlinear systems, and energy-efficient technologies, focusing on their applications in both academia and industry. With a strong background in mechatronics and control engineering, he has developed innovative solutions for system stability and energy optimization. Dr. Khan is skilled in designing interval observers for dynamic systems, particularly in uncertain environments, and has published extensively on the subject. His work also explores adaptive control strategies for robotics and power systems, leveraging cutting-edge technologies such as SiC and GaN. Dr. Khan is proficient in several programming languages, including Matlab, Simulink, Python, and C/C++, enabling him to implement complex models and simulations for his research. His skills in interdisciplinary collaboration and securing funding for research projects further highlight his versatility and commitment to advancing technological solutions in engineering.

 📖 Publication Top Notes

  • A survey of interval observers design methods and implementation for uncertain systems
    A Khan, W Xie, Z Bo, LW Liu
    Journal of the Franklin Institute, 358(6), 3077-3126, 2021
    Citation: 52
  • Design and Applications of Interval Observers for Uncertain Dynamical Systems
    A Khan, W Xie, Z Langwen, LW Liu
    IET Circuits, Devices & Systems, 14(6), 721-740, 2020
    Citation: 48
  • Path Planning for Wheeled Mobile Robot in Partially Known Uneven Terrain
    B Zhang, G Li, Q Zheng, X Bai, Y Ding, A Khan
    Sensors, 22(14), 5217, 2022
    Citation: 41
  • Finite‐time nonsingular terminal sliding mode control of converter‐driven DC motor system subject to unmatched disturbances
    A Rauf, M Zafran, A Khan, AR Tariq
    International Transactions on Electrical Energy Systems, 31(11), e13070, 2021
    Citation: 26
  • Interval state estimation for linear time-varying (LTV) discrete-time systems subject to component faults and uncertainties
    A Khan, W Xie, L Zhang, Ihsanullah
    Archives of Control Sciences, 29(2), 289-305, 2019
    Citation: 22
  • Set-Membership Interval State Estimator Design Using Observability Matrix for Discrete-Time Switched Linear Systems
    A Khan, LW Liu, W Xie
    IEEE Sensors Journal, 20(11), 6121-6129, 2020
    Citation: 20
  • Interval State Estimator Design for Linear Parameter Varying (LPV) Systems
    A Khan, X Bai, Z Bo, P Yan
    IEEE Transactions on Circuits and Systems II: Express Briefs, 68(8), 2865-2869, 2021
    Citation: 19
  • Finite‐time functional interval observer for linear systems with uncertainties
    L Liu, W Xie, A Khan, L Zhang
    IET Control Theory & Applications, 14(18), 2868-2878, 2020
    Citation: 14
  • Fault detection and diagnosis for a class of linear time-varying (LTV) discrete-time uncertain systems using interval observers
    Z Yi, W Xie, A Khan, B Xu
    2020 39th Chinese Control Conference (CCC), 4124-4128, 2020
    Citation: 14
  • Interval State Estimator Design Using the Observability Matrix for Multiple Input Multiple Output Linear Time-Varying Discrete-Time Systems
    A Khan, W Xie
    IEEE Access, 7, 167566-167576, 2019
    Citation: 13