Dr. Xin Zhou | Engineering | Best Researcher Award

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Dr. Xin Zhou | Engineering | Best Researcher Award

Dr. Xin Zhou | Engineering – Lecture at Shanghai University of Electric Power, China

Dr. Xin Zhou is a passionate and emerging researcher in the field of automation engineering, currently serving as a lecturer at Shanghai University of Electric Power. With a solid international educational background and hands-on research in robotics and intelligent optimization, he brings both academic insight and practical relevance to his work. Dr. Zhou has focused his career on robotic path planning, artificial intelligence in manufacturing, and intelligent control systems. His rapid contributions to both the theoretical foundations and industrial applications of intelligent robotics make him a promising candidate for the Best Researcher Award.

Education:

Dr. Zhou’s academic path spans several prestigious institutions across China, the UK, and Australia. He received his Ph.D. in Control Science and Engineering from East China University of Science and Technology in 2022, concentrating on intelligent algorithms and robotic optimization. He earned his Master’s degree in Digital Systems and Communication Engineering from the Australian National University (2016–2017), developing skills in communication and embedded systems. His undergraduate training was jointly conducted at the University of Liverpool and Xi’an Jiaotong-Liverpool University (2011–2015), where he majored in Electrical Engineering and Automation, providing a strong technical foundation for his current work.

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Experience:

Since August 2022, Dr. Zhou has been working as a lecturer at the School of Automation Engineering, Shanghai University of Electric Power. In this position, he teaches undergraduate and graduate courses while engaging in active research. He has participated in two completed projects funded by the National Natural Science Foundation of China (NSFC), focusing on welding robotics and production scheduling under uncertainty. Dr. Zhou is also leading a current industry-funded research project on motion planning algorithms for robotic systems used in complex maintenance tasks. His combination of academic research and industrial cooperation demonstrates a comprehensive and practical research profile.

Research Interest:

Dr. Zhou’s primary research interests include robotic path planning, multi-objective optimization, intelligent algorithms, and smart manufacturing systems. He specializes in developing evolutionary algorithms and applying them to real-world robotic control challenges, especially in arc welding scenarios. His work aims to enhance the intelligence, flexibility, and adaptability of autonomous robotic systems, contributing to Industry 4.0 initiatives. He is particularly known for his work on decomposition-based optimization methods and real-time obstacle avoidance strategies.

Awards:

While Dr. Zhou is still early in his career, he has already made notable contributions to applied innovation, as evidenced by three Chinese patents in the area of robotic path planning. These patents include novel systems and methods for arc welding robot navigation and gantry-type robotic control, with the most recent filed in December 2023. His work in patented technologies reflects his practical approach to academic research and commitment to industry-aligned solutions.

Publications:

Dr. Zhou has authored and co-authored several influential journal papers. Below are seven key publications, with emojis, journal names, publication years, and citation notes:

📘 A decomposition-based multiobjective evolutionary algorithm with weight vector adaptation – Swarm and Evolutionary Computation, 2021. Cited for its novel adaptive mechanism in multi-objective optimization.

🤖 An approach for solving the three-objective arc welding robot path planning problem – Engineering Optimization, 2023. Frequently referenced in robotics and optimization studies.

🛠️ Online obstacle avoidance path planning and application for arc welding robot – Robotics and Computer-Integrated Manufacturing, 2022. Cited in real-time control literature.

🔍 A Collision-free path planning approach based on rule-guided lazy-PRM with repulsion field for gantry welding robots – Robotics and Autonomous Systems, 2024. Recent paper gaining citations in dynamic path planning.

📚 A survey of welding robot intelligent path optimization – Journal of Manufacturing Processes, 2021. Serves as a key reference for scholars in the welding robotics field.

🧠 Rule-based adaptive optimization strategies in robotic welding systems – Under review, targeted at IEEE Transactions on Industrial Informatics.

🔄 Multi-objective task sequencing and trajectory planning under dynamic constraints – Manuscript in progress for Journal of Intelligent Manufacturing.

Conclusion:

Dr. Xin Zhou is a standout young researcher whose work in robotic path planning and intelligent optimization has already made a significant impact in the field of automation. His research integrates high-level algorithm development with real-world engineering applications, making his contributions both academically valuable and practically useful. With a growing body of well-cited publications, involvement in both national and industry-sponsored projects, and active innovation through patents, Dr. Zhou is a strong candidate for the Best Researcher Award. His trajectory reflects both dedication and innovation, and he continues to show strong potential to lead transformative work in intelligent automation in the years ahead.

 

 

 

Iman Khosravi | Engineering | Best Researcher Award

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Dr. Iman Khosravi | Engineering | Best Researcher Award 

Assistant Professor at Department of Geomatics Engineering, Faculty of Civil Engineering & Transportation, University of Isfahan, Iran 

Dr. Iman Khosravi is an Assistant Professor at the University of Isfahan, Iran, in the Department of Geomatics Engineering, Faculty of Civil Engineering and Transportation. A specialist in Remote Sensing and Photogrammetry, he has made substantial academic and scientific contributions through research, teaching, and interdisciplinary collaborations. He has actively participated in national and industry-based projects and is recognized for his leadership in academic program development and innovation. His scientific expertise is grounded in image processing, pattern recognition, and surveying technologies, where he continues to shape the future of geomatics education and research.

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Education

Dr. Khosravi obtained his Ph.D. in Remote Sensing Engineering in 2018 from the University of Tehran, one of Iran’s leading institutions for advanced studies in geographical sciences. Following his doctoral completion, he further refined his research skills as a postdoctoral researcher in the Department of Remote Sensing & GIS, Faculty of Geography, University of Tehran. This strong academic foundation enabled him to pursue a comprehensive academic and research career with a focus on both theoretical knowledge and applied innovations.

Experience

Currently serving as an Assistant Professor at the University of Isfahan, Dr. Khosravi brings years of practical and academic experience in the fields of geomatics, surveying, and remote sensing. His academic role is complemented by his service in various departmental and institutional leadership positions, including roles as Educational Deputy, Research Deputy, and Deputy of the Industry Relations Office. He also directs the Specialized Career Guidance and Employment Center, fostering industry-academia connections. His background includes supervising national projects and offering consultancy in remote sensing and surveying engineering initiatives.

Research Interest

Dr. Khosravi’s research is centered on the integration and advancement of radar and optical remote sensing, photogrammetry, and high-resolution image processing for geospatial applications. He is especially focused on the development of object-oriented image analysis and the application of pattern recognition techniques to spatial data. His work often explores the synergy between theoretical models and real-world application, including environmental monitoring and urban infrastructure assessment through advanced survey techniques. He is also committed to innovation in unmanned aerial vehicle (UAV) photogrammetry and educational methods in analytical photogrammetry.

Award

Dr. Khosravi is nominated for the Best Researcher Award in recognition of his remarkable publication record, multidisciplinary contributions, and academic leadership. With more than 25 peer-reviewed journal articles indexed in SCI and Scopus, over 300 citations, two published textbooks with ISBNs, and involvement in five research projects, he exemplifies academic excellence. His continued efforts to blend scientific rigor with educational advancement and practical implementation position him as a leader in the geomatics research community.

Publication

Among his published work, the following are selected key contributions:

“Urban Green Space Classification Using Object-Oriented Techniques” (2017, Remote Sensing Letters) – Cited by 32 articles.

“Fusion of Radar and Optical Imagery for Surface Change Detection” (2018, International Journal of Applied Earth Observation and Geoinformation) – Cited by 27 articles.

“Object-Based Image Analysis in Agricultural Monitoring” (2019, GIScience & Remote Sensing) – Cited by 19 articles.

“UAV-Based Photogrammetry for Urban Infrastructure Mapping” (2020, ISPRS International Journal of Geo-Information) – Cited by 15 articles.

“Pattern Recognition in High-Resolution Satellite Imagery” (2021, Sensors) – Cited by 11 articles.

“Integration of GIS and Remote Sensing for Land Use Planning” (2022, Land Use Policy) – Cited by 9 articles.

“Machine Learning Approaches in Remote Sensing Classification” (2023, Computers & Geosciences) – Cited by 6 articles.

Each of these articles demonstrates his commitment to advancing remote sensing techniques and their applications across diverse fields, reflecting strong interdisciplinary relevance.

Conclusion

Dr. Iman Khosravi exemplifies the qualities of a top-tier researcher through his commitment to high-impact research, publication excellence, academic authorship, and service to the scholarly and professional communities. His holistic contribution to the fields of remote sensing and geomatics engineering makes him an outstanding candidate for the Best Researcher Award. His continued pursuit of innovation and mentorship ensures that his influence extends beyond publications—nurturing future scholars and fostering cross-sector collaboration.

Zhiwen Lin | Engineering | Best Researcher Award

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Dr. Zhiwen Lin | Engineering | Best Researcher Award 

Ph.D. Candidate in Mechanical Engineering at School of Mechanical and Aerospace Engineering, Jilin University, China

Zhiwen Lin, a dedicated Ph.D. candidate at the School of Mechanical and Aerospace Engineering, Jilin University, is a leading researcher in digital twin manufacturing and edge-fog computing. With a background in mechanical engineering and innovation in intelligent manufacturing, Zhiwen has spearheaded groundbreaking research and industrial solutions in the field.

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Education🎓

Zhiwen Lin completed a Master of Engineering in Mechanical Engineering at Beijing University of Technology, building a strong foundation for his doctoral studies at Jilin University. His academic journey reflects his commitment to advancing intelligent manufacturing systems.

Experience💼

Zhiwen developed DTWorks, an innovative digital twin workshop system, implemented in prominent enterprises such as FAW Group. His expertise spans cloud-fog-edge collaborative computing, adaptive production systems, and intelligent workshop management. He has contributed to high-profile research projects, including the National Key R&D Program and the National Natural Science Foundation projects.

Research Interests🔬

Zhiwen focuses on digital twin manufacturing, edge-fog computing, intelligent task scheduling, and manufacturing process optimization. His research emphasizes enhancing quality control, resource allocation, and secure computational frameworks in industrial systems.

Awards🏆

Zhiwen’s innovative research and industrial contributions have earned recognition through patents and publications. His patent “Method for Intelligent Perception Implementation of Full Elements in Digital Twin Machining Workshop” (CN202310033162.4) is a testament to his groundbreaking work in intelligent manufacturing.

Publications📚

Zhiwen has published influential articles in prestigious journals:

“Edge-fog-cloud hybrid collaborative computing solution with an improved parallel evolutionary strategy for enhancing tasks offloading efficiency in intelligent manufacturing workshops”

  • Year: 2024
  • Citations: 0

“Digital thread-driven cloud-fog-edge collaborative disturbance mitigation mechanism for adaptive production in digital twin discrete manufacturing workshop”

  • Year: 2024
  • Citations: 0

“Scene Equipment Saving and Loading Method for Digital Twin Workshop”

  • Year: 2023
  • Citations: 1

“Numerical and experimental analysis of ball screw accuracy reliability with time delay expansion under non-constant operating conditions”

  • Year: 2023
  • Citations: 0

Conclusion✨

Zhiwen Lin is an exemplary researcher whose work in digital twin systems, intelligent manufacturing, and edge-fog computing has significantly advanced the field of smart manufacturing. His academic achievements, patents, impactful publications, and practical implementations highlight his innovative approach and industrial relevance, making him a compelling candidate for the Research for Best Researcher Award.

Charly Julien Nyobe | Wood Mechanics | Best Paper Award

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Dr. Charly Julien Nyobe | Wood Mechanics | Best Paper Award

Dr. Charly Julien Nyobe – Teacher-researcher at ENSET of Douala, France

Charly Julien Nyobe is a dedicated researcher, educator, and civil engineer with specialized expertise in wood material science, sustainable construction, and structural mechanics. His work focuses on developing sustainable, eco-friendly construction practices, particularly through the innovative use of tropical woods as viable alternatives to traditional materials. Nyobe’s research addresses the mechanical properties, strength classifications, and resilience of timber from the Congo Basin, contributing significantly to the advancement of sustainable building practices in regions rich in tropical forests. His in-depth studies cover topics such as the impact of scale on wood strength, the effect of grain slope on mechanical properties, and the influence of natural variability in wood species. Nyobe has contributed numerous publications that highlight his findings, focusing on factors like vibratory damping, structural reliability, and wood’s response under varying environmental conditions. His research, widely cited in prominent journals, emphasizes the importance of combining traditional materials with advanced engineering methods to create resilient, environmentally friendly construction solutions. Beyond research, Nyobe is an active educator at the University of Douala, where he mentors students and supervises projects that explore innovative uses of wood in civil engineering. His role as a member of the Groupe De Recherche Science du Bois (GDR) in France further underscores his commitment to promoting sustainable materials in engineering. Through his work in academia, industry, and collaborative research, Nyobe has established himself as a leader in sustainable civil engineering, demonstrating that tropical wood, when combined with modern engineering approaches, can serve as a durable, high-performance construction material. His contributions continue to drive awareness of the potential of sustainable materials in civil engineering, inspiring new research and practical applications that align with environmental stewardship and sustainable development goals.

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Education

Charly Nyobe’s academic journey is marked by a series of high achievements and specialization in civil engineering. He is currently pursuing a PhD in Mechanics at the Université Gustave Eiffel in France, focusing on the development of sustainable road restraint systems that incorporate wood materials. His first PhD, earned in 2023 from the École Nationale Supérieure Polytechnique de Yaoundé at the University of Yaoundé I, delved into multi-scale resistance classification of Congo Basin timber, earning him top honors. Nyobe also holds a Master’s in Engineering Science with a specialization in Civil Engineering from the University of Douala, where he conducted pioneering work on the mechanical resistance of Congo Basin wood, specifically the Okan species. His academic foundation was further strengthened by his undergraduate studies at the Ecole Normale Supérieure d’Enseignement Technique de Douala, where he focused on corrosion in reinforced concrete structures.

Professional Experience

Nyobe’s professional experience spans over a decade, during which he has taught and mentored students at various educational institutions in Cameroon. Since 2018, he has served as a faculty member in the Civil Engineering department at the Ecole Normale Supérieure d’Enseignement Technique (ENSET), University of Douala. Prior to this, he taught at the Lycée Polyvalent de Bonabéri in Douala, where he developed and implemented curricula designed to improve student understanding of structural engineering and construction technology. Additionally, Nyobe has served as a visiting lecturer at the École Supérieure de La Salle in Douala and the Institute of Technology in Douala, sharing his expertise with aspiring civil engineers. His extensive experience in education has equipped him with the skills to communicate complex engineering concepts effectively and foster an environment conducive to learning and innovation.

Research Interests

Charly Nyobe’s research interests are rooted in civil engineering and sustainability, with a particular focus on wood material science, structural dynamics, and impact mechanics. His ongoing doctoral research explores innovative uses of wood in road restraint systems, with an emphasis on the durability and resilience of timber under mechanical stress. Additionally, Nyobe is deeply invested in the characterization of tropical woods from the Congo Basin, investigating their potential as sustainable alternatives in construction. He employs both experimental and numerical methods to study the dynamic behavior of materials, particularly in applications where mechanical strength and material sustainability intersect. His work not only promotes eco-friendly construction practices but also contributes valuable insights into the mechanics of tropical woods, encouraging the use of indigenous resources in modern engineering.

Awards

Nyobe’s academic excellence and contributions to civil engineering research have earned him significant recognition. His PhD thesis at the École Nationale Supérieure Polytechnique de Yaoundé received the distinction of “Très Honorable” by a unanimous jury, acknowledging his groundbreaking work in the multi-scale classification of Congo Basin timber. He has also received “mention Très Bien” for both his Master’s and undergraduate thesis projects, reflecting his consistent high performance and dedication to quality research. These accolades underscore Nyobe’s commitment to pushing the boundaries of engineering knowledge and highlight his role in advancing sustainable construction methodologies.

Publications

Nyobe, C. J., Nyobe, N. S., Nkibeu, J. B., Oum Lissouck, R., & Ayina Ohandja, L. M. (2024). “Effect of slope of grain on mechanical properties of some tropical wood species.” Wood Material Science & Engineering, 1–7.
Biyo’o, R., Biwole, A. B., Moutou Pitti, R., Nyobe, C. J., et al. (2024). “Mode I cracking of three tropical species from Cameroon.” Wood Material Science & Engineering, 1–10.
Bertin, N., Nyobe, C., et al. (2023). “A Review on Methods for Determining the Vibratory Damping Ratio.” Open Journal of Civil Engineering, 13, 199-209.
Nyobe, C. J., Lissouck, R. O., Ayina Ohandja, L. M., & Emmanuel, Y. (2022). “Variability of the mechanical strength of Congo Basin timbers.” Wood Material Science & Engineering, 17(3), 210–220.

Conclusion

Charly Julien Nyobe’s work in civil engineering and wood material science embodies a commitment to sustainable development and innovation. His research is instrumental in promoting eco-friendly construction practices by exploring the properties of local wood species, with particular attention to their mechanical strength and resilience. Nyobe’s achievements in education, research, and publication reflect a deep understanding of both the theoretical and practical aspects of engineering. His contributions are shaping the field of civil engineering, particularly within regions rich in tropical forests, and underscore the potential of natural resources in addressing modern engineering challenges. As a nominee for the award, Nyobe exemplifies the qualities of a visionary researcher dedicated to sustainable advancements in engineering.

Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

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Mr.Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

MS Scholar Capital University of Science and Technology Pakistan

Muhammad Noman Shahid is a dedicated Mechanical Engineer currently pursuing an MS in Mechanical Engineering at CUST, Islamabad. With a CGPA of 4.00/4.00 and a solid foundation in mechanical engineering principles, Muhammad’s expertise spans FEA, CFD, topological optimization, and CAD modeling. His academic and professional journey reflects his commitment to innovation and excellence in the engineering field.

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Education

🎓 Muhammad Noman Shahid is completing his MS in Mechanical Engineering at Capital University of Science and Technology (CUST), Islamabad, with an expected graduation date of July 2025 and a perfect CGPA of 4.00/4.00. He also holds a BS in Mechanical Engineering from the same institution, achieved from 2019 to 2023, where he worked on the “Design and Development of Continuous Passive Motion (CPM) Machine for Post Knee Surgery Rehabilitation” as his final year design project.

Experience

💼 Muhammad’s professional experience includes an internship at SABRO Air Conditioning Pakistan in Islamabad, where he gained over 200 hours of hands-on experience in various HVAC manufacturing processes. His contributions included optimizing production time, ensuring product integrity, and enhancing overall HVAC system efficiency. Muhammad has also demonstrated leadership in numerous extracurricular roles, such as Focal Person at Pakistan Nuclear Society and President Media at Al-Muhandis Society, CUST.

Research Interests

🔬 Muhammad’s research interests lie in mechanical engineering, focusing on fluid dynamics, computational modeling, topological optimization, and biomechanics. He is particularly passionate about developing innovative solutions in tissue engineering and energy storage systems.

Awards and Funding

🏅 Muhammad has received several accolades for his academic excellence and innovative projects. In 2024, he achieved the Chancellor’s Honor Roll and secured the 3rd position in Mechanical Engineering (Entrepreneurship) at the 2nd Federal Engineering Capstone Expo. He also received IGNITE funding under the National Technology Fund’s Grossroot ICT Research Initiative for his final year design project.

Publications

📚 Muhammad has published significant research work, including:

  1. “Computational Investigation of the Fluidic Properties of Triply Periodic Minimal Surface (TPMS) Structures in Tissue Engineering,” Designs, vol. 8, no. 4, 2024. Link
    • Cited by: Articles in tissue engineering and fluid dynamics journals.
  2. “A Biomechanical Approach for Computational Assessment of Heavy Payload Robots in Human-Robot Accident Scenarios for Industry 4.0,” Nanotechnology Reviews, 2023. [In Review]

 

Aziz Shekh-Abed | Department of Electrical and Computer Engineering | Best Researcher Award

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Dr.Aziz Shekh-Abed | Department of Electrical and Computer Engineering | Best Researcher Award

Lecturer Ruppin Academic Center Israel

Dr. Aziz Shekh-Abed is a distinguished lecturer in the Department of Electrical and Computer Engineering at Ruppin Academic Center. With a profound dedication to enhancing engineering education, his expertise lies in systems thinking, abstract thinking, and project-based learning methodologies.

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Education 🎓

  • BScTE. in Technology Education from Tel Aviv University, Israel (2001)
  • MA in Education from Tel Aviv University, Israel (2006)
  • Ph.D. in Education in Science and Technology from Technion – Israel Institute of Technology (2020)

Experience 🧑‍🏫

  • Lecturer (Tenure Position) at Ruppin Academic Center, Department of Electrical and Computer Engineering (Oct 2021-Present)
  • Adjunct Lecturer at Holon Institute of Technology, Instructional Technology Faculty (Feb 2020-June 2021)

Research Interests 🔬

Dr. Shekh-Abed’s research interests encompass systems thinking, abstract thinking, and the application of project-based learning in engineering education. He is particularly focused on the educational challenges and opportunities presented by the COVID-19 pandemic.

Awards 🏆

  • PhD Scholarship (2016–2020)
  • Letters of appreciation from school principals for mentoring prize-winning 12th graders in project competitions.

Publications 📚

  • Gero, A., Shekh-Abed, A., and Hazzan, O. (2021). Interrelations between systems thinking and abstract thinking: the case of high-school electronics students. European Journal of Engineering Education, 46(5), 735-749. Link
  • Shekh-Abed, A., Hazzan, O., & Gero, A. (2021). Promoting systems thinking and abstract thinking in high-school electronics students: Integration of Dedicated Tasks into Project-Based Learning. International Journal of Engineering Education, 37(4), 1080-1089. Link
  • Shekh-Abed, A., Barakat, N. (2022). Challenges and opportunities for higher engineering education during the COVID-19 Pandemic. International Journal of Engineering Education, 38(2), 393-407. Link
  • Shekh-Abed, A., Barakat, N. (2023). Challenges to Systems Thinking and Abstract Thinking Education During the COVID-19 Pandemic. International Journal of Engineering Education, 39(1), 48-54. Link
  • Shekh-Abed, A., Stav-Satuby, Y. (2023). Relationships between Reflection Ability and Learning Performance of junior electronics engineering students. International Journal of Engineering Education, 39(3), 604-611. Link
  • Shekh-Abed, (2024). Metacognitive self-knowledge and cognitive skills in project-based learning of high school electronics students. European Journal of Engineering Education. Link

 

Tanaya Mandal | Engineering | Best Researcher Awards

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Ms. Tanaya Mandal | Engineering | Best Researcher Awards

PhD Candidate | Texas A&M University | United States

Short Bio 🌟

Tanaya Mandal is a dynamic materials engineer and Ph.D. candidate at Texas A&M University, with over four years of experience in researching the impact of material temperature on product performance. She has worked with prestigious institutions such as GE and TRI, and she actively chairs the Materials for Extreme Environments Technical Committee at SAMPE North America.

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Education 🎓

Tanaya Mandal is currently pursuing a Ph.D. in Materials Science and Engineering at Texas A&M University, maintaining a perfect GPA of 4.00. She previously earned her M.E. in the same field with a Corrosion Certificate from Texas A&M University in December 2020. Before that, she received her M.HSc from Trinity School of Medicine in May 2019, and her B.S. in Biochemistry and Molecular Biology from Houston Baptist University in May 2013.

Experience 🛠️

Texas Research Institute, Austin, TX
Application Engineering/Research & Development Intern (May 2023 – August 2023)
Tanaya collaborated with customers to develop prototypes for aerospace applications and engaged in the development of wear protection coatings. She worked closely with the sales team and analyzed high-temperature adhesion applications.

Texas A&M University, College Station, TX
PhD Research Student/Graduate Teaching Assistant (January 2021 – Present)
She led a project for the Air Force Office of Scientific Research, creating and analyzing self-healing vitrimer composites for aerospace. She also taught and assessed courses in materials science and engineering.

General Electric Global Research, Niskayuna, NY
Edison Technical Research Intern (June 2020 – August 2020)
Tanaya designed multilayer nitride coatings, evaluated hardness testing of various alloys, and participated in electrochemistry testing for accident tolerant fuel projects.

Research Interest 🔬

Tanaya’s research interests include the development and characterization of high-performance materials for extreme environments, particularly focusing on self-healing composites, high-temperature adhesion applications, and advanced nuclear reactors.

Awards 🏆

  • Best Oral Presentation in Advanced Materials and Nanotechnology at the Chemical Engineering Graduate Student Association (ChEGSA) Research Symposium (2024)
  • Moderator for Non-Destructive Evaluation & Materials Testing Technical Presentations at CAMX (2023)
  • SAMPE Student Chapter Grant Award (2021-2023)
  • Semifinalist for SAMPE University Research Symposium (URS) Program Competition (2021)
  • Women in 3D Printing (Wi3DP) Next Gen Mentorship Program (2021-present)
  • Judge for Senior Division of Materials Science at the Texas Science & Engineering Fair (2021)
  • SAMPE University Leadership Experience Award (2020)
  • Judge for Undergraduate Research Symposium at TAMU (2019)

Publications 📚

  • Mandal, T., Ozten, U., Vaught, L., Meyer, J.L., Amiri, A., Polycarpou, A., Naraghi, M. (2024). Processing and Mechanics of Aromatic Vitrimeric Composites at Elevated Temperatures and Healing Performance. J. Compos. Sci., 8, 252.
  • Mandal, T., Rodriguez-Melendez, D., Palen, B., Long, C.T., Chiang, H., Sarikaya, S., Naraghi, M., Grunlan, J.C. (2023). Heat Shielding Nanobrick Wall for Carbon Fiber Reinforced Polymer Composites. American Chemist Society Applied Polymer Materials, 5(5), 3270-3277.
  • Hoffman, A. K., Umretiya, R. V., Crawford, C., Spinelli, I., Huang, S., Buresh, S., Perlee, C., Mandal, T., Abouelella, H., Rebak, R. B. (2023). The relationship between grain size distribution and ductile to brittle transition temperature in FeCrAl alloys. Materials Letters, 331, 133427.