Hao Chen | Materials Science | Best Researcher Award

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Prof. Hao Chen | Materials Science | Best Researcher Award

Associate professor from Shanghai Jiao Tong University, China

Professor Hao Chen is a distinguished faculty member in the Department of Computer Science at the University of California, Davis. Renowned for his contributions to computer security and software verification, he has been instrumental in developing practical security verification systems. His work seamlessly integrates theoretical insights with real-world applications, addressing critical challenges in the field. Notably, he developed MOPS, a tool designed to detect security vulnerabilities in C programs. His research has garnered support from esteemed organizations, including the National Science Foundation, Air Force Office of Scientific Research, U.S. Army Research Laboratory, Intel, and Microsoft. Professor Chen’s accolades include the NSF CAREER Award and the UC Davis College of Engineering Outstanding Faculty Award. He is also recognized as an IEEE Fellow and an ACM Distinguished Member. Through his teaching, research, and mentorship, Professor Chen continues to shape the future of computer science.

Professional Profile

Education

Professor Hao Chen earned his Ph.D. in Computer Science from the University of California, Berkeley, in 2004. During his doctoral studies, he was mentored by Professor David Wagner, a prominent figure in computer security. His dissertation focused on identifying and mitigating security vulnerabilities in software systems, laying the groundwork for his future research endeavors. This rigorous academic training equipped him with a deep understanding of both theoretical and practical aspects of computer security, enabling him to make significant contributions to the field.

Professional Experience

Since completing his Ph.D., Professor Chen has been a vital part of the UC Davis faculty. He began his tenure as an Assistant Professor in July 2004, progressed to Associate Professor in July 2010, and achieved the rank of Professor in July 2016. Throughout his academic career, he has been dedicated to advancing research in computer security and software verification. Beyond his teaching responsibilities, Professor Chen has actively contributed to the academic community by serving on editorial boards and program committees for various prestigious conferences and journals.

Research Interests

Professor Chen’s research interests are centered around computer security and software verification. He focuses on developing methodologies to ensure that software systems are free from vulnerabilities that could be exploited maliciously. His work often involves applying machine learning techniques to enhance security measures and improve software reliability. By combining theoretical frameworks with practical applications, Professor Chen aims to create tools and systems that can proactively identify and mitigate potential security threats in software.

Research Skills

In his research, Professor Chen employs a diverse set of skills, including static and dynamic program analysis, formal verification methods, and machine learning algorithms. He is adept at developing tools that can automatically detect security flaws in software, thereby reducing the risk of exploitation. His expertise extends to analyzing large codebases, understanding complex software behaviors, and designing systems that can adapt to evolving security challenges. Through his interdisciplinary approach, Professor Chen effectively bridges the gap between theoretical research and practical implementation in the realm of computer security.

Awards and Honors

Professor Hao Chen’s contributions to computer science have been recognized through numerous awards and honors. He received the National Science Foundation CAREER Award in 2007, acknowledging his potential as a leading researcher in his field. In 2010, he was honored with the UC Davis College of Engineering Outstanding Faculty Award for his exceptional teaching and research achievements. His professional excellence is further highlighted by his designation as an IEEE Fellow and an ACM Distinguished Member, reflecting his significant impact on the computing community.

Conclusion

Professor Hao Chen stands out as a leading expert in computer security and software verification. His academic journey, marked by rigorous education and progressive professional roles, underscores his commitment to advancing the field. Through his innovative research, he has developed tools and methodologies that enhance software security, directly addressing real-world challenges. His accolades, including prestigious awards and fellowships, attest to his influence and contributions to computer science. As an educator, researcher, and mentor, Professor Chen continues to inspire and shape the next generation of computer scientists, reinforcing the critical importance of security in the digital age.

Publications Top Notes

  1. In situ molecular compensation in wide-bandgap perovskites for efficient all-perovskite tandem solar cells
    Journal: Energy & Environmental Science
    Year: 2025
    DOI: 10.1039/D5EE01369K
    Contributors: Fu, Sheng; Sun, Nannan; Hu, Shuaifeng; Chen, Hao; Jiang, Xinxin; Li, Yunfei; Zhu, Xiaotian; Guo, Xuemin; Zhang, Wenxiao; Li, Xiaodong et al.

  2. Homogenizing SAM deposition via seeding -OH groups for scalable fabrication of perovskite solar cells
    Journal: Energy & Environmental Science
    Year: 2025
    DOI: 10.1039/D5EE00350D
    Contributors: Fu, Sheng; Sun, Nannan; Chen, Hao; Li, You; Li, Yunfei; Zhu, Xiaotian; Feng, Bo; Guo, Xueming; Yao, Canglang; Zhang, Wenxiao et al.

  3. All‐Inorganic Tin‐Containing Perovskite Solar Cells: An Emerging Eco‐Friendly Photovoltaic Technology
    Journal: Advanced Materials
    Year: 2025
    DOI: 10.1002/adma.202505543
    Contributors: Xiang Zhang; Dan Zhang; Zaiwei Wang; Yixin Zhao; Hao Chen

  4. On-demand formation of Lewis bases for efficient and stable perovskite solar cells
    Journal: Nature Nanotechnology
    Year: 2025
    DOI: 10.1038/s41565-025-01900-9
    Contributors: Sheng Fu; Nannan Sun; Hao Chen; Cheng Liu; Xiaoming Wang; You Li; Abasi Abudulimu; Yuanze Xu; Shipathi Ramakrishnan; Chongwen Li et al.

  5. 3D Digital Holography Investigations of Giant Photostriction Effect in MAPbBr₃ Perovskite Single Crystals
    Journal: Advanced Functional Materials
    Year: 2024
    DOI: 10.1002/ADFM.202404995
    Contributors: Liu, Dong; Wu, Jialin; Lu, Ying-Bo; Zhao, Yiyang; Jiang, Xianyuan; Wang, Kai-Li; Wang, Hao; Dong, Liang; Cong, Wei-Yan; Chen, Hao et al.

  6. Diamine chelates for increased stability in mixed Sn-Pb and all-perovskite tandem solar cells
    Journal: Nature Energy
    Year: 2024
    DOI: 10.1038/S41560-024-01613-8
    Contributors: Li, Chongwen; Chen, Lei; Jiang, Fangyuan; Song, Zhaoning; Wang, Xiaoming; Balvanz, Adam; Ugur, Esma; Liu, Yuan; Liu, Cheng; Maxwell, Aidan et al.

  7. Perovskite Single Crystals by Vacuum Evaporation Crystallization
    Journal: Advanced Science
    Year: 2024
    DOI: 10.1002/ADVS.202400150
    Contributors: Liu, Dong; Jiang, Xianyuan; Wang, Hao; Chen, Hao; Lu, Ying-Bo; Dong, Siyu; Ning, Zhijun; Wang, Yong; Wu, Zhongchen; Ling, Zongcheng

  8. Surface heterojunction based on n-type low-dimensional perovskite film for highly efficient perovskite tandem solar cells
    Journal: National Science Review
    Year: 2024
    DOI: 10.1093/NSR/NWAE055
    Contributors: Jiang, Xianyuan; Zhou, Qilin; Lu, Yue; Liang, Hao; Li, Wenzhuo; Wei, Qi; Pan, Mengling; Wen, Xin; Wang, Xingzhi; Zhou, Wei et al.

  9. Ultralow detection limit and high sensitivity X-ray detector of high-quality MAPbBr₃ perovskite single crystals
    Journal: Journal of Materials Chemistry A
    Year: 2024
    DOI: 10.1039/D4TA00492B
    Contributors: Liu, Dong; Sun, Xue; Jiang, Li; Jiang, Xianyuan; Chen, Hao; Cui, Fucai; Zhang, Guodong; Wang, Yong; Lu, Ying-Bo; Wu, Zhongchen et al.

 

 

Meysam Jalali | Materials Science | Excellence in Research

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Assist Prof Dr. Meysam Jalali | Materials Science | Excellence in Research

Assistant Professor at Shahrood University of technology, Iran

Assist. Prof. Dr. Meysam Jalali is a distinguished academic and professional in the field of Civil and Structural Engineering, currently serving as an Assistant Professor at Shahrood University of Technology (SUT). With a Ph.D. in Civil/Structural Engineering from Shahrood University of Technology and an MSc in Civil/Earthquake Engineering from the University of Tehran, Dr. Jalali has developed significant expertise in construction materials, seismic behavior of structures, and advanced cementitious composites. He is also the Head of the Construction Material Lab at SUT, where he leads innovative research in experimental investigations and numerical modeling. Dr. Jalali’s work has earned him recognition in both academic and professional circles, particularly for his contributions to the development of novel fibers for reinforcing ultra-high-performance concrete and other cement-based materials. His research interests include the application of soft computing methods in civil engineering, net-zero construction, and 3D concrete printing. Dr. Jalali has published extensively in high-impact journals and has been involved in several high-profile research projects and consulting roles in Iran’s infrastructure development.

Profile

Education

Assist. Prof. Dr. Meysam Jalali holds a Ph.D. in Civil/Structural Engineering from Shahrood University of Technology, where he developed advanced expertise in structural analysis and design. He also earned a Master of Science (MSc) in Civil/Earthquake Engineering from the University of Tehran, focusing on the seismic behavior of structures, which has significantly influenced his research and professional work. Dr. Jalali completed his Bachelor of Science (BSc) in Civil Engineering at Shahrood University of Technology, laying the foundation for his extensive academic and professional career in civil and structural engineering.

Professional Experience

Assist. Prof. Dr. Meysam Jalali has a wealth of professional experience in the field of Civil and Structural Engineering, with a particular focus on construction materials and seismic behavior. He has been an Assistant Professor at Shahrood University of Technology (SUT) since 2010, where he also serves as the Head of the Construction Material Lab. In addition to his academic roles, Dr. Jalali is a Professional Engineer registered with the Tehran Engineering Organization and has extensive consulting experience. He has worked as a consultant engineer for Iran Water & Power Resources Development Company (IWPCO) and Tehran Engineering and Technical Consultant Organization (TETCO) for Underground Structures. Dr. Jalali has also held key positions in major infrastructure projects, including serving as Project Manager for the Hakim Twin Tunnels of Tehran and as the Head Engineer for the East-West Lot of Tehran Metro Line 7. His professional expertise extends to the design of structures, where he has contributed to various projects, bringing innovative solutions and technical acumen to the field.

Research Interest

Assist. Prof. Dr. Meysam Jalali’s research interests are centered around the experimental investigation of construction materials and structural engineering. His work focuses on cement-based materials, including Engineered Cementitious Composites (ECC), High-Performance Concrete (HPC), Fiber-Reinforced Concrete (FRC), and Slurry Infiltrated Fiber Concrete (SIFCON). Dr. Jalali is particularly interested in the development of innovative fiber types for reinforcing cementitious composites and the application of additive manufacturing techniques, such as 3D concrete printing, in construction. His research also encompasses the application of soft computing methods in civil engineering, multi-scale testing, and numerical modeling. He is dedicated to advancing net-zero construction practices and has been involved in pioneering projects related to the mechanical behavior of construction materials, the prediction of composite material performance using machine learning, and the development of new testing apparatus for fibrous composites. Dr. Jalali’s work contributes significantly to the innovation and sustainability of construction materials and methods.

Research Skills

Assist. Prof. Dr. Meysam Jalali is highly skilled in a broad range of research areas within civil and structural engineering. His expertise includes experimental investigations of construction materials, particularly cement-based composites such as ECC, HPC, FRC, and SIFCON. He has demonstrated significant proficiency in developing innovative fiber types for reinforcing these composites and is adept at conducting multi-scale testing to evaluate material performance. Dr. Jalali’s research extends to advanced numerical modeling, where he utilizes sophisticated computational techniques to predict and analyze structural behaviors. Additionally, he is well-versed in applying soft computing methods, including artificial neural networks (ANN), genetic programming (GEP), adaptive neuro-fuzzy inference systems (ANFIS), and group method of data handling (GMDH), to model and forecast the performance of construction materials. His innovative approach is further highlighted by his work in additive manufacturing, specifically 3D concrete printing, and his development of patented testing apparatus and methodologies for fibrous composites. Dr. Jalali’s research skills are complemented by his strong project management capabilities and his success in securing research funding from various academic and industry sources.

Conclusion

Given their extensive academic background, innovative research contributions, professional experience in large-scale engineering projects, and leadership in both education and research, this individual is a highly deserving candidate for the “Excellence in Research” award. Their work not only advances the field of civil and structural engineering but also addresses critical challenges in construction materials and sustainability.

Publications Top Notes

  • Shear strengthening of RC beams using innovative manually made NSM FRP bars
    • Journal: Construction and Building Materials
    • Year: 2012
    • Cited by: 81
    • Volume: 36, Pages: 990-1000
  • Experimental and analytical investigations on seismic behavior of ductile steel knee braced frames
    • Journal: Steel and Composite Structures
    • Year: 2014
    • Cited by: 38
    • Volume: 16(1), Pages: 1-21
  • Machine learning prediction of fiber pull-out and bond-slip in fiber-reinforced cementitious composites
    • Journal: Journal of Building Engineering
    • Year: 2023
    • Cited by: 14
    • Volume: 63, Article ID: 105474
  • Tunnel Rehabilitation in Fault Zone Using Sequential Joints Method – Case Study: Karaj Water Conveyance Tunnel
    • Journal: International Journal of Mining and Geo-Engineering
    • Year: 2018
    • Cited by: 14
    • Volume: 52(1), Pages: 87-94
  • Flexural characteristics of fibre reinforced concrete with an optimised spirally deformed steel fibre
    • Journal: International Journal of Engineering, Transactions C: Aspects
    • Year: 2021
    • Cited by: 7
    • Volume: 34(6), Pages: 1390-1397
  • Experimental investigation on the performance of engineered spiral fiber: Fiber pull-out and direct tension tests
    • Journal: Construction and Building Materials
    • Year: 2022
    • Cited by: 2
    • Volume: 347, Article ID: 128569
  • Effect of seawater on micro-nano air bubbles concrete for repair of coastal structures
    • Journal: Journal of Rehabilitation in Civil Engineering
    • Year: 2020
    • Cited by: 2
    • Volume: 8(3), Pages: 34-42
  • Numerical investigation of mechanized shield tunnels cross-cut
    • Journal: Journal of Analytical and Numerical Methods in Mining Engineering
    • Year: 2018
    • Cited by: 1
    • Volume: 8(16), Pages: 29-43
  • Numerical investigation on shear strengthening of RC beams using near surface mounted (NSM) FRP
    • Conference: 6th National Congress on Civil Engineering
    • Year: 2011
    • Cited by: 1
  • Pull-out behavior of twin-twisted steel fibers from various strength cement-based matrices
    • Journal: Construction and Building Materials
    • Year: 2024 (upcoming publication)
    • Article ID: 137855

 

Advanced Materials Engineering Award

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Introduction Advanced Materials Engineering Award

Step into the future of innovation with the Advanced Materials Engineering Award. This distinguished honor recognizes pioneers and visionaries in the field of materials engineering, celebrating groundbreaking contributions that redefine possibilities and drive technological advancements.

About the Award:

The Advanced Materials Engineering Award welcomes individuals and teams dedicated to pushing the boundaries of materials science. With no age restrictions, eligibility is extended to those showcasing exceptional leadership and innovation in the development and application of advanced materials.

Qualifications and Publications:

Candidates should demonstrate a proven track record of advancing materials engineering through academic achievements, hands-on experience, or a combination of both. While there are no strict age limits, qualifications may include relevant degrees, certifications, and a portfolio showcasing impactful contributions.

Evaluation Criteria:

The evaluation process focuses on the significance, originality, and potential impact of the nominee's work in materials engineering. Judges will assess how the advanced materials contribute to technological progress and their potential applications in various industries.

Submission Guidelines:

Applicants are encouraged to submit a comprehensive biography, an abstract detailing their materials engineering initiatives, and supporting files that provide a tangible view of the practical applications and outcomes of their work. Submissions must adhere to provided guidelines for fair and thorough evaluation.

Recognition and Community Impact:

The Advanced Materials Engineering Award not only celebrates individual accomplishments but also recognizes the broader impact on the materials engineering community and industries. Winners serve as inspirations, driving the evolution of materials science and engineering.

Biography, Abstract, and Supporting Files:

Craft a compelling biography that narrates your journey in advancing materials engineering. The abstract should concisely convey the goals and impact of your work, while supporting files offer a comprehensive view of the practical applications and outcomes of your materials engineering initiatives.

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