Keivan Narooei | Engineering | Editorial Board Member

Assoc. Prof. Dr. Keivan Narooei | Engineering | Editorial Board Member

K. N. Toosi University of Technology | Iran

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Early Academic Pursuits ✨

Assoc. Prof. Dr. Keivan Narooei's journey into the field of materials science and engineering began with a strong academic foundation. He earned his Bachelor of Science in Materials Science and Engineering from Isfahan University of Technology in 2002. With a keen interest in computational mechanics and finite element modeling, he pursued his Master of Science at the prestigious Sharif University of Technology, completing it in 2004. His academic dedication culminated in a Ph.D. in Finite Element Method (FEM) from the same institution in 2009. His doctoral studies equipped him with a profound understanding of mechanical behavior modeling, setting the stage for his future research contributions.

Professional Endeavors 🌟

Dr. Narooei has established himself as a leading academic and researcher in materials science. He currently serves as an Associate Professor at K. N. Toosi University of Technology, a renowned institution in Iran. Throughout his academic career, he has been instrumental in advancing research in computational modeling, hyperelasticity, and smart materials. His role as a mentor and educator has inspired numerous students to delve into the complexities of materials science and engineering.

Contributions and Research Focus 📚

Dr. Narooei's research encompasses various groundbreaking topics in mechanical behavior analysis and materials modeling. His primary areas of expertise include:

  • Plasticity: Investigating the deformation and mechanical behavior of materials under stress.
  • Shape Memory Polymers (SMPs): Exploring smart materials with the ability to recover their shape upon external stimulus.
  • Self-Healing Hydrogels: Developing bio-composite materials with self-repairing capabilities.
  • Hyperelasticity & Viscoelasticity: Studying advanced materials with unique mechanical responses for biomedical and industrial applications.

His work in these fields has led to numerous influential publications in high-impact journals, contributing significantly to advancements in materials science.

Accolades and Recognition 🏆

Dr. Narooei's research has gained widespread recognition in the academic community. His contributions to 4D printing, smart materials, and bio-composites have been cited extensively. Some of his most notable publications include:

  • "4D printing of shape memory polylactic acid beams: An experimental investigation into FDM additive manufacturing process parameters, mathematical modeling, and optimization" (Journal of Manufacturing Processes, 2023).
  • "A hyperelastic-damage model to study the anisotropic mechanical behavior of coral-hydrogel bio-composite" (Journal of the Mechanical Behavior of Biomedical Materials, 2022).
  • "Strain rate-dependent mechanical metamaterials" (Science Advances, 2020).

His work has received accolades from peers and institutions, recognizing his innovative approach to materials modeling and smart material applications.

Impact and Influence 💪

Dr. Narooei’s research has made a significant impact on the development of advanced materials with real-world applications. His studies on self-healing hydrogels and hyperelastic materials have influenced both biomedical engineering and industrial applications. His work in computational modeling has paved the way for more accurate simulations of material behaviors, essential for designing next-generation smart materials. Beyond research, Dr. Narooei has played a crucial role in mentoring young researchers, guiding them toward impactful scientific contributions. His teaching at K. N. Toosi University of Technology has nurtured a new generation of engineers and scientists specializing in material behavior and computational mechanics.

Legacy and Future Contributions 🔍

Looking ahead, Dr. Narooei continues to push the boundaries of materials science with innovative research in smart and bio-inspired materials. His work in 4D printing is expected to revolutionize manufacturing processes, while his studies on self-healing materials hold promise for medical applications, such as tissue engineering and prosthetics. As an influential figure in his field, Dr. Narooei’s legacy lies in his contributions to cutting-edge materials research and his dedication to fostering academic excellence. His future endeavors will undoubtedly shape the development of smarter, more resilient materials, leaving a lasting impact on both academia and industry.

 

Publications


  • 📄 A micromechanical model to predict the effective thermomechanical behavior of one-way shape memory polymers
    Journal: Mechanics of Materials
    Year: 2025-02
    Authors: M. Bakhtiari, K. Narooei


  • 📄 Investigation of multiplicative decompositions in the form of FeFv and FvFe to extend viscoelasticity laws from small to finite deformations
    Journal: Mechanics of Materials
    Year: 2022-04
    Authors: Marzieh Bahreman, Hossein Darijani, Keivan Narooei


  • 📄 A hyperelastic-damage model to study the anisotropic mechanical behavior of coral-hydrogel bio-composite
    Journal: Journal of the Mechanical Behavior of Biomedical Materials
    Year: 2022-02
    Authors: R. Eghbali, K. Narooei


  • 📄 Strain rate–dependent mechanical metamaterials
    Journal: Science Advances
    Year: 2020-06-17
    Authors: S. Janbaz, K. Narooei, T. van Manen, A. A. Zadpoor


  • 📄 A new hyper-viscoelastic model for investigating rate dependent mechanical behavior of dual cross link self-healing hydrogel
    Journal: International Journal of Mechanical Sciences
    Year: 2019-08
    Authors: A. Ghorbanoghli, K. Narooei


 

Fulvio Mastrogiovanni | Computer Science | Best Researcher Award

Prof. Dr. Fulvio Mastrogiovanni | Computer Science | Best Researcher Award

University of Genoa | Italy

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Early Academic Pursuits 🎓

Prof. Dr. Fulvio Mastrogiovanni embarked on his academic journey with a strong foundation in engineering and robotics. He earned his Laurea Degree in Computer Engineering from the University of Genoa, Italy, in 2003, demonstrating exceptional promise with a final grade of 108/100. His thirst for knowledge led him to pursue a PhD in Bioengineering, Materials Science, and Robotics at the same university, which he successfully completed in 2008. His doctoral research set the stage for a future dedicated to advancing artificial intelligence (AI) and robotics.

Professional Endeavors 🏛️

A distinguished academic, Prof. Mastrogiovanni has built an illustrious career spanning multiple prestigious institutions worldwide. Since 2018, he has served as an Associate Professor at the University of Genoa, Italy. His scholarly journey includes visiting professorships at esteemed institutions such as Shanghai Polytechnic University, Keio University, and the Japan Advanced Institute of Science and Technology. His contributions extend beyond academia, having played key roles in international robotics programs, including Erasmus Mundus and JEMARO. Additionally, he has been a driving force in the Digital Innovation Hub – Liguria, leveraging technology for societal advancements.

Contributions and Research Focus 🔬

Prof. Mastrogiovanni's research lies at the intersection of AI and robotics, emphasizing human-robot interaction and cognitive robotics. His work in "embodied Artificial Intelligence" seeks to integrate AI-driven cognitive architectures, perception models, and semantic data processing techniques to enhance robotic autonomy and intelligence. He has pioneered efforts in developing cognitive robotic systems that seamlessly interact with humans, revolutionizing the way robots perceive and respond to their environment. His research projects, such as ROBOSKIN and InDex, have significantly contributed to the evolution of robotic intelligence and machine cognition.

Accolades and Recognition 🏆

His excellence has been recognized through numerous prestigious awards. He was honored with the National Award by Associazione Nazionale Giovani Innovatori in 2021 and has received multiple Best Paper Awards at IEEE and international robotics conferences. His groundbreaking work has earned him invitations to deliver keynote talks at global AI and robotics symposiums, solidifying his reputation as a thought leader in the field.

Impact and Influence 🌍

With over 229 publications, including journal articles, conference papers, book chapters, and patents, Prof. Mastrogiovanni has made a profound impact on the scientific community. His research has amassed over 3,352 citations with an h-index of 32 on Google Scholar. His collaborations with international universities and research institutions have fostered global advancements in robotics, influencing both academic discourse and industrial applications.

Legacy and Future Contributions 🚀

As a mentor, Prof. Mastrogiovanni has supervised numerous PhD and MSc students, shaping the next generation of robotics and AI experts. His leadership roles in major research consortia and technology transfer initiatives underscore his commitment to bridging academic research with real-world applications. Moving forward, he aims to push the boundaries of AI-driven robotics, particularly in medical robotics, cognitive architectures, and autonomous systems. His visionary work continues to redefine human-robot interaction, making significant strides towards an AI-empowered future.

 

Publications


  • 📄 A Novel Method to Compute the Contact Surface Area Between an Organ and Cancer Tissue

    • Authors: Alessandra Bulanti, Alessandro Carfì, Paolo Traverso, Carlo Terrone, Fulvio Mastrogiovanni
    • Journal: Journal of Imaging
    • Year: 2025

  • 📄 A Systematic Review on Custom Data Gloves

    • Authors: Valerio Belcamino, Alessandro Carfì, Fulvio Mastrogiovanni
    • Journal: IEEE Transactions on Human-Machine Systems
    • Year: 2024

  • 📄 Enhancing Machine Learning Thermobarometry for Clinopyroxene-Bearing Magmas

    • Authors: Mónica Ágreda-López, Valerio Parodi, Alessandro Musu, Diego Perugini, Maurizio Petrelli
    • Journal: Computers and Geosciences
    • Year: 2024

  • 📄 Digital Workflow for Printability and Prefabrication Checking in Robotic Construction 3D Printing Based on Artificial Intelligence Planning

    • Authors: Erfan Shojaei Barjuei, Alessio Capitanelli, Riccardo Bertolucci, Fulvio Mastrogiovanni, Marco Maratea
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2024

  • 📄 A Hierarchical Sensorimotor Control Framework for Human-in-the-Loop Robotic Hands

    • Authors: Lucia Seminara, Strahinja Dosen, Fulvio Mastrogiovanni, Matteo Bianchi, Simon Watt, Philipp Beckerle, Thrishantha Nanayakkara, Knut Drewing, Alessandro Moscatelli, Roberta L. Klatzky, et al.
    • Journal: Science Robotics
    • Year: 2023

 

Ramesh Gupta Burela | Engineering | Best Researcher Award

Prof Dr. Ramesh Gupta Burela | Engineering | Best Researcher Award

National Institute of Technical Teachers' Training and Research | India

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Early Academic Pursuits 🎓

Dr. Ramesh Gupta Burela embarked on his academic journey with a strong foundation in Civil Engineering, earning a B.Tech from Nagarjuna University in 1998. He further specialized in the field by obtaining an M.Tech in Computer Aided Design of Structures (CADES) from Visveswaraiah Technological University in 2002. His pursuit of knowledge led him to the prestigious Indian Institute of Science (IISc), where he completed his Ph.D. in Aerospace Engineering in 2012. During his Ph.D., he also undertook an internship at Ecole Normale Supérieure (ENS) de Cachan, France, contributing to a CEFIPRA project.

Professional Endeavors 💼

Dr. Gupta's professional career spans over a decade, marked by significant roles in both academia and industry. He began as an Assistant Professor in Mechanical Engineering at Shiv Nadar University (SNU) in 2013 and advanced to Associate Professor by 2019. In 2024, he joined the Civil Engineering department at NITTTR-Bhopal as a Professor. His industry experience includes positions such as Assistant Manager at GKN CoE, Cyient Ltd., and Technical Lead at MSC Software, Symphony Ser. Pvt. Ltd. He has also served as a Guest Faculty at the University of Hyderabad.

Contributions and Research Focus 🔬

Dr. Gupta's research interests are diverse and innovative, encompassing Variational Asymptotic Method (VAM), AI & Machine Learning, nonlinear material models, multifunctional smart structures, and more. He has received numerous grants and project funding for his research, including projects on the development of new materials for sensor improvements, nonlinear multiphysics modeling, and optimization of steering knuckles via AI and Machine Learning.

Accolades and Recognition 🏆

Throughout his career, Dr. Gupta has been recognized for his contributions to science and engineering. His awards include the International Travel Grant from DST (SERB), India, and an International Fellowship from ENS de Cachan, France. He has also been honored with several scholarships and assistantships, reflecting his academic excellence and commitment to research.

Impact and Influence 🌟

Dr. Gupta has significantly impacted the academic and professional communities through his teaching, research, and leadership roles. He has guided numerous Ph.D. and M.Tech students, contributing to the development of future engineers and researchers. His involvement as a journal reviewer and panel member in various conferences and committees highlights his influence and dedication to advancing engineering knowledge.

Legacy and Future Contributions 🌍

Dr. Gupta's legacy is marked by his co-founding of three startups: SYmbosim, MultiFun, and URDHYUTH. These ventures focus on cutting-edge technologies such as multifunctional composites, smart structures, and urban air mobility. His ongoing work aims to bridge the gap between core technologies and emerging fields like AI, Machine Learning, IoT, and Augmented Reality. Dr. Gupta's vision includes establishing a Computer Aided Engineering (CAE) research center to develop smart functional products and structures, contributing to a more efficient and innovative engineering landscape.

 

Publications 📖

📄Non-linear buckling analysis of delaminated hat-stringer panels using variational asymptotic method
Authors: Kumar, A.P. , Méndez, J.P. , Burela, R.G. , Harursampath, D. , Ponnusami, S.A.
Journal: Composite Structures
Year: 2024

 

📄DETAILED DESIGN AND ANALYSIS FOR ADDITIVE MANUFACTURING OF TOPOLOGICALLY OPTIMIZED AND GENERATIVELY DESIGNED TI-6AL-4V HIP JOINT IMPLANT
Authors: Kishor, A. , Burela, R.G. , Gupta, A.
Journal: International Journal for Multiscale Computational Engineering
Year: 2024

 

📄Optical, Thermal, and Mechanical Properties of Scheelite Molybdate and Tungstate Materials Using Atomistic Simulations
Authors: Sistla, Y.S. , Burela, R.G. , Gupta, A. , Tabassum, N.
Journal: Lecture Notes in Mechanical Engineering
Year: 2024

 

📄Baseline Design of Propeller for an eVTOL Aircraft to Achieve Urban Air Mobility
Authors: Faraaz, M. , Faizan, A. , Badarinath, M. , Harursampath, D. , Gupta, R.B.
Journal: IEEE Aerospace Conference Proceedings
Year: 2023

 

📄Snap-through analysis of multistable laminate using the variational asymptotic method
Authors: Phanendra Kumar, A. , Khajamoinuddin, S.M. , Burela, R.G. , Mahesh, V. , Harursampath, D.
Journal: Mechanics Based Design of Structures and Machines
Year: 2023