Farzad Pashmforoush | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Farzad Pashmforoush | Engineering | Best Researcher Award

Assoc. Prof. Dr. Farzad Pashmforoush, University of Maragheh, Iran

Farzad Pashmforoush is a distinguished Associate Professor at the University of Maragheh, specializing in Mechanical Engineering. Born on July 31, 1987, he has dedicated his career to advancing research in composite materials, artificial intelligence, finite element methods, and non-destructive testing. His academic journey began at the University of Tabriz, where he ranked first in his Bachelor’s program. He continued his education at Amirkabir University of Technology, earning both his Master’s and PhD with exceptional grades. Dr. Pashmforoush’s contributions to the field are reflected in his extensive research on damage identification in composite structures, optimization techniques, and material characterization. With numerous high-impact publications, citations, and an h-index of 9, his work has influenced academia and industry alike. His passion for innovation and excellence has earned him significant recognition, making him a leading figure in mechanical engineering research.

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Suitability for the Research for Best Researcher Award – Farzad Pashmforoush

Dr. Farzad Pashmforoush is a distinguished researcher and academic with a strong background in mechanical engineering, particularly in areas such as composite materials, finite element method (FEM), artificial intelligence, fracture mechanics, and non-destructive testing (NDT). His academic journey reflects excellence at every level, securing top ranks during his Bachelor’s and Master’s degrees, followed by a high distinction PhD from Amirkabir University of Technology. His doctoral work on the numerical-experimental study of magnetic abrasive finishing of optical glass showcases innovative problem-solving abilities and a commitment to advancing material science and manufacturing techniques.

His research contributions are extensive and impactful, as evidenced by 26 high-quality journal publications in esteemed journals, over 400 citations, and an h-index of 9 on Google Scholar. His works span damage characterization in composite materials, deep learning for autonomous damage recognition, optimization techniques, and multiphysics simulations, demonstrating a multidisciplinary approach to mechanical engineering. Additionally, his application of artificial intelligence in non-destructive evaluation and advanced material testing methods showcases his ability to integrate cutting-edge technology into engineering research.

🎓 Education

Farzad Pashmforoush’s academic journey began at the University of Tabriz, where he completed his Bachelor of Science in Mechanical Engineering in 2009, ranking first with a grade of 18.86. He continued his education at Amirkabir University of Technology, earning a Master of Science in 2011, with a thesis on damage modes in composite materials, also achieving first rank. He further advanced his studies, obtaining a Ph.D. in Mechanical Engineering from the same university in 2015. His doctoral thesis focused on numerical-experimental studies of magnetic abrasive finishing of optical glass. Throughout his academic career, Farzad maintained an outstanding academic performance, receiving top grades and contributing to innovative research. His advanced training and in-depth knowledge of mechanical engineering have set the foundation for a successful academic and research career.

💼 Professional Experience

Farzad Pashmforoush has had a distinguished academic career, with extensive experience as an Associate Professor in Mechanical Engineering at the University of Maragheh. He has taught and mentored students in advanced topics such as composite materials, non-destructive testing, and fracture mechanics. His research focuses on finite element methods, artificial intelligence applications in engineering, and composite material behavior. Farzad has also collaborated with international institutions on projects involving acoustic emission techniques for damage detection in composites and the optimization of manufacturing processes. His expertise in experimental mechanics, data analysis, and numerical modeling has resulted in numerous high-impact publications. As an educator and researcher, he is dedicated to advancing engineering technology while fostering the next generation of engineers through innovative teaching and research initiatives.

🏅 Awards and Recognition

Farzad Pashmforoush has received numerous accolades throughout his career for his outstanding contributions to mechanical engineering. He was recognized as a top graduate in both his undergraduate and graduate studies, receiving the first-rank distinction at both the University of Tabriz and Amirkabir University of Technology. His research on composite materials, non-destructive testing, and fracture mechanics has earned him high citation counts and recognition from peers in the academic community. Additionally, Farzad has been acknowledged for his role in advancing mechanical engineering research and education, earning grants and research funding for innovative projects. His excellence in teaching and research, along with his impactful publications, continues to shape the future of engineering education and practice.

🌍 Research Skills On Engineering

Farzad Pashmforoush possesses a broad range of research skills, making him a leading expert in his field. His proficiency in finite element methods (FEM) allows him to model and analyze complex engineering problems, particularly in the areas of composite materials and structural analysis. Farzad’s research integrates artificial intelligence techniques, such as deep learning, to enhance the evaluation and optimization of engineering processes. His extensive use of non-destructive testing (NDT) methods, particularly acoustic emission, enables him to study material behavior and detect damage in real-time. In addition, his expertise in fracture mechanics and damage detection provides valuable insights into the durability and performance of materials. Farzad’s approach combines theoretical analysis with experimental validation, ensuring the practical application of his research in industry. His innovative use of advanced technologies and methodologies has garnered widespread recognition in the engineering community.

📖 Publication Top Notes 

  • “Autonomous damage recognition in visual inspection of laminated composite structures using deep learning”

    • Authors: S. Fotouhi, F. Pashmforoush, M. Bodaghi, M. Fotouhi
    • Journal: Composite Structures
    • Citation: 87
    • Year: 2021

  • “Characterization of composite materials damage under quasi-static three-point bending test using wavelet and fuzzy C-means clustering”

    • Authors: M. Fotouhi, H. Heidary, M. Ahmadi, F. Pashmforoush
    • Journal: Journal of Composite Materials
    • Citation: 86
    • Year: 2012

  • “Damage classification of sandwich composites using acoustic emission technique and k-means genetic algorithm”

    • Authors: F. Pashmforoush, R. Khamedi, M. Fotouhi, M. Hajikhani, M. Ahmadi
    • Journal: Journal of Nondestructive Evaluation
    • Citation: 83
    • Year: 2014

  • “Acoustic emission-based damage classification of glass/polyester composites using harmony search k-means algorithm”

    • Authors: F. Pashmforoush, M. Fotouhi, M. Ahmadi
    • Journal: Journal of Reinforced Plastics and Composites
    • Citation: 72
    • Year: 2012

  • “Damage characterization of glass/epoxy composite under three-point bending test using acoustic emission technique”

    • Authors: F. Pashmforoush, M. Fotouhi, M. Ahmadi
    • Journal: Journal of Materials Engineering and Performance
    • Citation: 66
    • Year: 2012

  • “Influence of water-based copper nanofluid on wheel loading and surface roughness during grinding of Inconel 738 superalloy”

    • Authors: F. Pashmforoush, R. D. Bagherinia
    • Journal: Journal of Cleaner Production
    • Citation: 64
    • Year: 2018

  • “Monitoring the initiation and growth of delamination in composite materials using acoustic emission under quasi-static three-point bending test”

    • Authors: M. Fotouhi, F. Pashmforoush, M. Ahmadi, A. Refahi Oskouei
    • Journal: Journal of Reinforced Plastics and Composites
    • Citation: 64
    • Year: 2011

  • “Statistical analysis on free vibration behavior of functionally graded nanocomposite plates reinforced by graphene platelets”

    • Authors: F. Pashmforoush
    • Journal: Composite Structures
    • Citation: 48
    • Year: 2019

  • “Nano-finishing of BK7 optical glass using magnetic abrasive finishing process”

    • Authors: F. Pashmforoush, A. Rahimi
    • Journal: Applied Optics
    • Citation: 42
    • Year: 2015

  • “Interfacial characteristics and thermo-mechanical properties of calcium carbonate/polystyrene nanocomposite”

    • Authors: F. Pashmforoush, S. Ajori, H. R. Azimi
    • Journal: Materials Chemistry and Physics
    • Citation: 27
    • Year: 2020

 

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

Jose Antonio Mendiola | Chemical Engineering | Best Paper Award

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Dr. Jose Antonio Mendiola | Chemical Engineering | Best Paper Award

 👤  Dr. Jose Antonio Mendiola, CIAL-CSIC, Spain

José Antonio Mendiola León is a renowned researcher specializing in food science and technology, focusing on green extraction processes and environmental sustainability. He is currently part of the Instituto de Investigación en Ciencias de la Alimentación at the Consejo Superior de Investigaciones Científicas (CSIC) in Madrid. With expertise in bioactivity analysis and sustainable food ingredients, Mendiola has contributed extensively to the development of eco-friendly biorefineries and bioprospecting methods for functional ingredients derived from natural sources. His work in the field of foodomics involves the development of innovative analytical techniques and the study of antioxidant and antimicrobial properties. José Antonio’s leadership in projects concerning food safety and environmental impact has made him a prominent figure in food technology research.

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 🌟  Dr. Jose Antonio Mendiola Summary of Suitability for the Research for Best Paper Award

Dr. José Antonio Mendiola León presents an exceptional profile as a candidate for the Research for Best Paper Award, given his strong academic background, significant research contributions, and impactful scientific output. His expertise spans multiple domains, including sustainable extraction processes, advanced analytical techniques for food products, and environmental impact assessments, which align with modern scientific challenges and priorities.

🎓 Education 

José Antonio Mendiola León completed his education at the Universidad Autónoma de Madrid, where he earned a Bachelor’s degree in Chemistry (1997-2000) and a Master’s degree in Food Science and Technology (2002). His passion for food science led him to pursue doctoral studies, culminating in a PhD in Food Science and Technology (2008), awarded with honors. His doctoral thesis focused on innovative extraction methods for food ingredients, earning him the prestigious Premio Extraordinario de Doctorado for the 2007/2008 academic year. Throughout his academic journey, Mendiola was heavily involved in cutting-edge research in the field, publishing significant contributions to the understanding of food biochemistry and sustainable practices in food production.

💼  Professional Experience

José Antonio Mendiola León began his professional career as a pre-doctoral researcher at the Instituto de Fermentaciones Industriales (CSIC) in 2003, working on projects related to the extraction of bioactive compounds from food sources. After completing his PhD in 2008, he continued his research at CSIC, contributing to several European Union and national projects. He was involved in research concerning the sustainable extraction of food ingredients from microalgae and other natural sources. Mendiola’s expertise also extends to the application of advanced analytical techniques for food safety, including HPLC-DAD-MS/MS and GC-MS. His dedication to environmental sustainability in the food industry led him to investigate cleaner and more efficient methods for food processing. His role as a Senior Technician at CSIC has been pivotal in advancing foodomics and creating new possibilities for environmentally friendly food technology.

🏅Awards and Recognition 

José Antonio Mendiola León has been recognized for his contributions to food science and sustainable technology with numerous accolades and honors. His doctoral thesis was awarded the Premio Extraordinario de Doctorado by the Universidad Autónoma de Madrid in 2008, underscoring the significance of his research. Mendiola’s pioneering work in green extraction methods for food ingredients has been recognized through multiple research project grants, including funding from the Ministerio de Educación y Ciencia and the Comunidad de Madrid. His participation in high-impact international collaborations has earned him a reputation as a leader in food science research. Mendiola is frequently invited to speak at academic and industry events, and his work is widely published in top-tier scientific journals. His exceptional contribution to advancing the sustainability of food production systems continues to be acknowledged globally.

🌍 Research Skills On Chemical Engineering 

José Antonio Mendiola León possesses advanced research skills in food science, particularly in the areas of green extraction processes, food biochemistry, and environmental sustainability. He is an expert in the development of efficient and eco-friendly extraction techniques using sub- and supercritical fluids, a key area in sustainable food production. His work is also characterized by proficiency in various advanced analytical techniques, such as HPLC-DAD-MS/MS, HPLC-DAD-ELSD, and GC-MS, for the characterization of food ingredients and the evaluation of their bioactive properties. Mendiola’s interdisciplinary approach combines food chemistry with environmental science, making him highly skilled in assessing the ecological impact of food processing methods. He has developed and applied innovative methods for analyzing and quantifying antioxidants and other functional compounds in food, contributing to improved food safety and quality control processes. His expertise also extends to the assessment of the sustainability of analytical and production processes through Life Cycle Assessment (LCA).

📖 Publication Tob Notes

Supercritical fluid extraction: Recent advances and applications
  • Authors: M Herrero, JA Mendiola, A Cifuentes, E Ibáñez
    Journal: Journal of Chromatography A 1217 (16), 2495-2511
    Cited by: 941
    Year: 2010
 Advanced analysis of nutraceuticals
  • Authors: J Bernal, JA Mendiola, E Ibáñez, A Cifuentes
    Journal: Journal of Pharmaceutical and Biomedical Analysis 55 (4), 758-774
    Cited by: 436
    Year: 2011
 Compressed fluids for the extraction of bioactive compounds
  • Authors: M Herrero, M Castro-Puyana, JA Mendiola, E Ibáñez
    Journal: TrAC Trends in Analytical Chemistry 43, 67-83
    Cited by: 410
    Year: 2013
Extraction and characterization of bioactive compounds with health benefits from marine resources: macro and micro algae, cyanobacteria, and invertebrates
  • Authors: E Ibáñez, M Herrero, JA Mendiola, M Castro-Puyana
    Book: Marine Bioactive Compounds: Sources, Characterization, and Applications, 55-98
    Cited by: 401
    Year: 2011
Use of compressed fluids for sample preparation: Food applications
  • Authors: JA Mendiola, M Herrero, A Cifuentes, E Ibáñez
    Journal: Journal of Chromatography A 1152 (1-2), 234-246
    Cited by: 359
    Year: 2007
Screening of functional compounds in supercritical fluid extracts from Spirulina platensis
  • Authors: JA Mendiola, L Jaime, S Santoyo, G Reglero, A Cifuentes, E Ibáñez, …
    Journal: Food Chemistry 102 (4), 1357-1367
    Cited by: 261
    Year: 2007
Pressurized liquid extraction
  • Authors: G Alvarez-Rivera, M Bueno, D Ballesteros-Vivas, JA Mendiola, E Ibáñez
    Book: Liquid-Phase Extraction, 375-398
    Cited by: 201
    Year: 2020
Sequential determination of fat- and water-soluble vitamins in green leafy vegetables during storage
  • Authors: J Santos, JA Mendiola, MBPP Oliveira, E Ibáñez, M Herrero
    Journal: Journal of Chromatography A 1261, 179-188
    Cited by: 201
    Year: 2012