Mr. Shuaikang Chang | thermal | Best Researcher Award

Posted on by sciencefather

Mr. Shuaikang Chang | thermal | Best Researcher Award

Mr. Shuaikang Chang, CHONGQING UNIVERSITY, China

Shuaikang Chang is a dedicated Ph.D. candidate at Chongqing University, China, specializing in Safety Science and Engineering. His research focuses on the transformative potential of ultra-high-pressure abrasive waterjet machining, particularly its application for thermosensitive and hard-to-machine materials. With a strong foundation in Safety Engineering from his undergraduate studies, Chang has contributed significantly to the field through his pioneering research on the thermal deformation mechanisms in abrasive waterjet machining. He has actively participated in national and special technology innovation grants, where his work addresses advanced engineering solutions for challenging machining processes. Chang’s research collaborations with fellow experts have yielded insights into the thermal effects, cycling mechanisms, and microstructural transformations associated with machining titanium alloys, enhancing their applicability across industries.

Professional Profile

orcid

Summary of Suitability for the Research for Best Researcher Award

Shuaikang Chang’s focused research, early contributions through publication, and engagement in high-impact projects position him as a competitive candidate for the Research for Best Researcher Award. His work aligns with the award’s objective to honor outstanding research contributions and innovation, making him a strong contender for this recognition.

🎓 Education

Shuaikang Chang is currently pursuing his Ph.D. in Safety Science & Engineering through an integrated Master’s and Ph.D. program at Chongqing University. He completed his Bachelor of Engineering (BEng) in Safety Engineering at the same institution, where he developed a solid grounding in engineering principles and safety protocols. During his postgraduate studies, Chang has been associated with the School of Resources and Safety Engineering, Chongqing University. His academic journey reflects a progressive focus on machining technologies and material safety, driven by an interdisciplinary approach. Chang’s coursework and practical experience have centered on the innovative application of waterjet machining, supported by his participation in specialized research projects and high-impact studies that push the boundaries of conventional engineering. He has skillfully leveraged academic resources to deepen his expertise, aligning with his aspiration to create safer and more effective industrial solutions.

💼  Experience 

Shuaikang Chang has been an active postgraduate researcher at the School of Resources and Safety Engineering, Chongqing University, since 2021. His experience primarily revolves around developing advanced abrasive waterjet machining techniques tailored for complex materials. Chang’s research evaluates ultra-high-pressure abrasive waterjets for thermosensitive and hard-to-machine materials, focusing on thermal cycling mechanisms and deformation behaviors. His expertise also extends to cryogenic techniques, investigating the effects of liquid nitrogen-assisted waterjet machining on material properties. Throughout his studies, he has contributed to multiple high-profile research grants, including a National Natural Science Foundation of China project that examined rock fracturing mechanisms using flash boiling liquid carbon dioxide jets. Chang’s insights have informed safer, more efficient machining processes, as evidenced by his publications in respected journals. His work reflects both technical rigor and a commitment to advancing machining technology for industrial applications.

🏅  Awards and Honors

Shuaikang Chang has received recognition for his contributions to engineering and safety science. His achievements include awards related to his pioneering research on abrasive waterjet machining, where he has advanced the understanding of thermal effects and deformation mechanisms on complex materials. Through his involvement in significant research grants from the National Natural Science Foundation of China and the Special Key Project for Technological Innovation in Chongqing, Chang has demonstrated excellence in both academic and applied research settings. His work has been acknowledged for its impact on the field of high-pressure waterjet technology, earning him the esteem of his peers and supervisors. Chang continues to receive commendations for his studies on material properties and safety protocols in machining processes, solidifying his reputation as a leading researcher within his field.

🌍  Research Focus 

Shuaikang Chang’s research focuses on the development and application of ultra-high-pressure abrasive waterjet machining for materials that are traditionally difficult to process. His work investigates the thermal deformation and material property changes induced by high-pressure jet technology, with a particular emphasis on thermosensitive alloys like Ti-6Al-4V. Chang’s research explores how varying jet pressures and the introduction of liquid nitrogen affect the microstructure and macro-properties of materials, aiming to extend the applicability of this machining technology. His studies on the deformation mechanisms and thermal cycling behaviors have the potential to influence several industries by improving safety, efficiency, and material integrity in manufacturing processes. Chang’s research is backed by notable grants, including projects under the National Natural Science Foundation of China, allowing him to push the boundaries of abrasive machining for broader, innovative applications.

📖 Publications Top Notes

Title: Thermal effects and deformation mechanisms in abrasive waterjet machining: insights from Ti-6Al-4V alloy for broader applications

 

Ms. BAMULI SWAPNA | computer science | Women Researcher Award

Posted on by sciencefather

Ms. BAMULI SWAPNA | computer science | Women Researcher Award

Ms. BAMULI SWAPNA, VAAGDEVI DEGREE AND PG COLLEGE, India

Pursuing a Ph.D. at SR University, Warangal, since 2023, [Name] has established herself as a dedicated scholar and educator in Computer Science and Engineering. She holds an M.Tech from CVSR Engineering College (2011) and an M.Sc in Computer Science from Kakatiya University (2008). Her academic journey began with a B.Sc from Chaitanya Degree and P.G College (2006) and includes intermediate studies at S.V.S Junior College for Girls. Throughout her career, she has been actively involved in research and teaching, focusing on innovative approaches in machine learning and wireless sensor networks. Recognized for her contributions to academia, she has earned several awards and accolades, including the Best Women Faculty Award and the Dr. Sarvepalli Radhakrishnan Best Teacher & Researcher Award in Computer Science (2024). [Name] continues to inspire students and colleagues alike, making significant strides in her field.

Professional Profile

Google scholar

Summary of Suitability for the Research for Women Researcher Award

The candidate’s comprehensive background in research, teaching, and professional development aligns strongly with the Research for Women Researcher Award. Her dedication to advancing her knowledge and supporting the academic community makes her a strong candidate for this recognition. Her achievements and continuous efforts in research and professional development showcase her suitability, and she stands as an inspiring figure in the realm of computer science research for women.

🎓  Education 

[Name] has an impressive educational background in Computer Science and Engineering. She is currently pursuing her Ph.D. at SR University, Warangal (2023). She completed her M.Tech in Computer Science and Engineering in 2011 from CVSR Engineering College, affiliated with JNTU University in Hyderabad. Prior to that, she earned her M.Sc in Computer Science from Kakatiya University in 2008. Her undergraduate education includes a B.Sc degree obtained in 2006 from Chaitanya Degree and P.G College, also affiliated with Kakatiya University. She completed her Intermediate studies in 2003 at S.V.S Junior College for Girls, Warangal. Her foundational education began at St. Ann’s High School in Karimnagar, where she completed her Secondary School Certificate in 2001. This comprehensive educational background has equipped [Name] with a strong theoretical and practical foundation in computer science, enabling her to contribute meaningfully to research and academia.

💼 Experience 

[Name] has a wealth of experience in academia, with a focus on teaching and research in Computer Science and Engineering. Currently pursuing her Ph.D., she has worked as a faculty member and researcher, contributing significantly to the field. Her research interests include machine learning, wireless sensor networks, and optimization techniques. [Name] has also been involved in organizing various workshops and conferences, such as the Refresher Course on Database Security and workshops on research methodology, demonstrating her commitment to education and professional development. In addition to her teaching responsibilities, she has participated in numerous online courses, enhancing her expertise in data structures, machine learning, and wireless communications. Her active engagement in academia and research has not only contributed to her professional growth but has also inspired her students and peers. With her diverse experience, [Name] is well-equipped to tackle complex challenges in her field and drive innovation.

🏅   Awards and Honors 

[Name] has received several prestigious awards and honors throughout her academic career, reflecting her dedication and excellence in the field of Computer Science and Engineering. She was awarded the Best Women Faculty Award by Novel Research Academy, recognizing her exceptional contributions to education. In 2024, she received the Dr. Sarvepalli Radhakrishnan Best Teacher & Researcher Award in Computer Science, underscoring her impact as an educator and researcher. Additionally, she has been recognized as an Editorial Reviewer member in the International Journal of Innovative Research in Technology, showcasing her expertise and commitment to advancing research in her field. Her accolades serve as a testament to her hard work, dedication, and passion for teaching and research. [Name] continues to inspire her students and colleagues, fostering an environment of innovation and academic excellence within the educational community.

🌍   Research Focus 

[Name]’s research focus centers on the intersection of machine learning and wireless sensor networks, with an emphasis on optimizing data transmission and improving network security. She is particularly interested in leveraging machine learning techniques to enhance the performance of sensor nodes and develop efficient intrusion detection systems. Her work addresses critical challenges in agriculture and infrastructure, contributing to the broader goal of integrating renewable energy solutions into these sectors. [Name] has published several research papers in reputable journals, exploring topics such as sentiment analysis, packet transmission, and security in wireless networks. Through her innovative research, she aims to develop practical applications that can significantly impact real-world challenges, particularly in renewable energy integration. As she continues her Ph.D. studies, [Name] seeks to further her contributions to the field and inspire future generations of researchers in Computer Science and Engineering.

📖 Publication Top Notes

  • Title: A Reliable and Energy-Efficient Routing Transport Protocol for Distributed Wireless Sensor Networks
  • Title: Scalable Network Architectures for Distributed Wireless Sensor Networks
  • Title: Improving Security In Wireless Sensor Networks Through Machine Learning–Based Intrusion Detection System
  • Title: Integrating Machine Learning with Wireless Sensor Networks in Agriculture
  • Title: Improving Performance of Cost-Effective Sensor Nodes With Machine Learning Field Calibration Method

Dr. Douglas Evans | Surgery | Best Researcher Award

Posted on by sciencefather

Dr. Douglas Evans | Surgery | Best Researcher Award

Dr. Douglas Evans, Medical College of Wisconsin, United States

Dr. Douglas B. Evans is a distinguished leader in surgical oncology and currently serves as Chair of the Department of Surgery at the Medical College of Wisconsin. His medical expertise focuses on pancreatic cancer and complex surgical oncology, where he has made significant contributions through his leadership and research. He is highly respected for his extensive work at prestigious institutions, including the University of Texas MD Anderson Cancer Center, where he previously held a tenured professorship. Dr. Evans’ commitment to advancing cancer research and improving patient care has earned him recognition nationally and internationally. He has served on multiple national advisory boards and contributed to various scientific committees. Dr. Evans’ work continues to impact the fields of surgery and oncology, enhancing the understanding and treatment of pancreatic cancer.

Professional Profile

scopus

google scholar

Summary of Suitability for the Research for Best Researcher Award

Dr. Douglas B. Evans, with his extensive background in surgical oncology and a distinguished career, is highly suited for the Research for Best Researcher Award. His leadership as Chair of the Department of Surgery at the Medical College of Wisconsin since 2009 demonstrates his commitment to advancing surgical practices and medical education. His impressive list of academic and clinical roles, including his tenure as a professor at the University of Texas M. D. Anderson Cancer Center, highlights his sustained contributions to the field of cancer research, particularly in pancreatic and thyroid cancers.

🎓 Education 

Dr. Douglas B. Evans received his foundational education at Oliver Ames High School in North Easton, Massachusetts. He then attended Bates College in Lewiston, Maine, where he earned his Bachelor of Science degree. His medical journey continued at Boston University School of Medicine, where he obtained his M.D. Following this, Dr. Evans pursued postgraduate training in surgery at Dartmouth-Hitchcock Medical Center, where he completed both his internship and residency in general surgery. His specialization in surgical oncology was honed during his fellowship at the University of Texas MD Anderson Cancer Center. This extensive academic background provided him with the expertise required to become a leading figure in the surgical treatment of pancreatic and gastrointestinal cancers. His licensures include multiple states such as Texas and Wisconsin, and he is board-certified by the American Board of Surgery, with recertifications reflecting his continued commitment to excellence in surgical practice.

💼  Experience 

Dr. Douglas B. Evans has an extensive career in surgical oncology, marked by significant leadership roles. He began as an Instructor in Surgery at Dartmouth Medical School and progressed to Teaching Associate at the University of Texas MD Anderson Cancer Center. At MD Anderson, Dr. Evans ascended from Assistant Professor to full Professor of Surgery, eventually securing the Hamill Foundation Distinguished Professorship in honor of Dr. Richard G. Martin, Sr. Since 2009, he has been the Chair of the Department of Surgery at the Medical College of Wisconsin, where he also holds the Ausman Family Foundation Chair. Dr. Evans’ career highlights include serving as Surgeon-in-Chief at Froedtert Hospital and contributing to numerous advisory boards and national committees. His experience and influence in academic surgery, particularly in pancreatic cancer research and treatment, have established him as a key figure in the surgical oncology field.

🏅 Awards and Honors 

Dr. Douglas B. Evans has received numerous awards and honors throughout his distinguished career in surgical oncology. Early recognition came with the Resident’s Publication Award in 1985, followed by the prestigious Thomas P. Almy Award in 1987. His dedication to teaching was acknowledged by multiple Outstanding Teacher Awards, notably in 1995 and 2003 at the University of Texas MD Anderson Cancer Center. In 1999, he was awarded the American College of Surgeons Traveling Fellowship. More recently, Dr. Evans was honored with the Andrew L. Warshaw Master Educator Award in 2014 from the Society for Surgery of the Alimentary Tract, as well as the Wisconsin Way Award in Medicine in 2018. In 2021, he was appointed to the Douglas B. Evans Chair for Surgical Research, a testament to his contributions to both clinical practice and academic surgery. In 2023, he received the Benjamin E. Mays Medal from Bates College, their highest alumni honor.

🌍 Research Focus

Dr. Douglas B. Evans’ research primarily focuses on the surgical treatment of pancreatic cancer and complex gastrointestinal cancers. His work has significantly advanced the understanding of pancreatic tumor biology and the development of surgical techniques to improve patient outcomes. He is particularly interested in translational research that bridges basic science discoveries and clinical applications. Dr. Evans has contributed to groundbreaking studies on the molecular mechanisms driving pancreatic cancer, enhancing the accuracy of surgical interventions and postoperative care. His research has been pivotal in the development of multi-disciplinary treatment approaches that combine surgery with chemotherapy and radiation therapy for pancreatic and other gastrointestinal cancers. As a renowned leader in his field, Dr. Evans has published extensively in high-impact medical journals, and his research efforts continue to shape the landscape of surgical oncology and improve the prognosis for cancer patients worldwide.

📖 Publication Top Notes

  • One hundred years after “carcinoid”: epidemiology of and prognostic factors for neuroendocrine tumors in 35,825 cases in the United States
    • Citation: 5547
  • Management of Thyroid Nodules Detected at US: Society of Radiologists in Ultrasound Consensus Conference Statement
    • Citation: 1921
  • Medullary thyroid cancer: management guidelines of the American Thyroid Association
    • Citation: 1712
  • Cancer-associated stromal fibroblasts promote pancreatic tumor progression
    • Citation: 1310
  • Borderline resectable pancreatic cancer: definitions, management, and role of preoperative therapy
    • Citation: 1012

Dr. Yahye Hassan | public health | Best Researcher Award

Posted on by sciencefather

Dr. Yahye Hassan | public health | Best Researcher Award

Dr. Yahye Hassan, University of Hargeisa, Somalia

Yahye Hassan Muse is a dedicated health professional with significant experience in the fields of nutrition and public health. Based in Maroodi-jeex, Somaliland, Yahye has spent years providing technical support to field teams, with a focus on water, sanitation, hygiene, and nutrition. He has worked for various organizations including Save The Children, Somaliland Red Crescent Society (SRCS), and the Ministry of Health and Development (MOHD). His expertise in community health outreach, nutrition field supervision, and mobile clinic operations has contributed to the improvement of nutrition programs in drought-affected areas. Yahye is well-versed in engaging rural communities through hygiene promotion, food security initiatives, and nutrition counseling. He holds a BSc in Nutrition and Food Science and has received numerous training certifications in community development and health communication.

Professional Profile

orcid

Summary of Suitability for the Research for Best Researcher Award

Yahye Hassan Muse’s application primarily highlights his extensive work in nutrition and health communication, with hands-on experience in mobilizing communities, managing nutrition programs, and promoting public health in challenging environments. His practical work experience, particularly in implementing nutrition programs, training teams, and delivering life-saving interventions such as malnutrition treatment, aligns well with impactful fieldwork. However, there is no direct evidence of academic research output or publications, which are key criteria for the “Research for Best Researcher Award.”

🎓   Education 

Yahye Hassan Muse earned his Bachelor of Science (BSc) degree in Nutrition and Food Science, laying the foundation for his expertise in nutrition, health, and community outreach. His academic background equipped him with comprehensive knowledge of nutrition practices, public health challenges, and ways to improve community well-being. Throughout his educational journey, Yahye also participated in numerous training programs focused on areas such as community development, Integrated Management of Acute Malnutrition (IMAM), and Infant and Young Child Feeding (IYCF) methods. These certifications have enhanced his ability to provide hands-on field support and guidance in health-related programs. His education has been crucial in enabling him to excel in various nutrition-based projects, ensuring better community health outcomes in the rural regions of Somaliland.

💼  Experience 

Yahye Hassan Muse has a wealth of experience working in nutrition and public health roles. Since 2018, he has served as a Nutrition Community Mobilization Officer with the Ministry of Health and Development (MOHD) in Somaliland, where he leads community outreach programs and provides training on hygiene, sanitation, and nutrition practices. From 2017 to 2018, he worked with Save The Children as an EPI Nutrition Officer during a drought intervention project, focusing on nutritional assessment, monitoring health facilities, and managing supplementary feeding programs. Prior to that, he held the position of Health Promoter at the Somaliland Red Crescent Society (SRCS) from 2016 to 2017. His duties included organizing hygiene promotion initiatives and conducting health education sessions in drought-affected regions. Yahye’s extensive field experience, combined with his expertise in nutrition, has made him a valuable asset in enhancing community health and wellness in Somaliland.

🏅 Awards and Honors 

Throughout his career, Yahye Hassan Muse has received recognition for his impactful work in the health and nutrition sectors. His consistent dedication to improving community health in drought-stricken areas of Somaliland has earned him accolades from organizations such as Save The Children and the Somaliland Red Crescent Society (SRCS). In particular, his leadership in conducting hygiene promotion, nutrition counseling, and the distribution of therapeutic foods has been praised for helping to combat malnutrition and improve food security in vulnerable populations. Yahye has also been honored by the Ministry of Health and Development (MOHD) for his vital contributions to community mobilization and for ensuring the effective implementation of public health programs across Maroodi-jeex. His ability to manage nutrition projects and deliver tangible outcomes has cemented his reputation as a skilled and dedicated health professional.

🌍   Research Focus 

Yahye Hassan Muse’s research focus centers on community-based nutrition interventions, especially in rural and drought-affected regions. His work explores the impact of hygiene practices, sanitation, and food security on public health, with a particular emphasis on improving nutrition among women and children. Yahye is dedicated to finding sustainable solutions to combat malnutrition through the implementation of Integrated Management of Acute Malnutrition (IMAM) programs and the promotion of Infant and Young Child Feeding (IYCF) practices. He has also researched the role of therapeutic and supplementary feeding in mitigating the effects of food scarcity in vulnerable communities. Yahye is committed to utilizing evidence-based approaches to address health disparities, enhance community engagement, and ensure that essential nutrition services reach those in need.

📖 Publication Top Notes

Analyzing Unimproved Drinking Water Sources and Their Determinants Using Supervised Machine Learning: Evidence from the Somaliland Demographic Health Survey 2020

Assoc. Prof. Dr. Abdisalam Hassan Muse | Decision Sciences | Best Researcher Award

Posted on by sciencefather

Assoc. Prof. Dr. Abdisalam Hassan Muse | Decision Sciences | Best Researcher Award

Assoc. Prof. Dr Abdisalam Hassan Muse, Amoud University, Somalia

Dr. Abdisalam Hassan Muse is a dedicated statistician and academician from Somalia, with a solid track record in teaching and research. With a PhD in Statistics from the Pan African University (PAUSTI), Kenya, he specializes in data science, mathematics, and statistics. His expertise spans across curriculum development, machine learning, and quantitative methods. As the current Director of the Research and Innovation Centre at Amoud University, Dr. Muse is at the forefront of fostering research and innovation, collaborating with industry partners, and promoting data-driven solutions. His prior roles include Assistant Professor and Dean of the School of Postgraduate Studies and Research at Amoud University. Passionate about academic development and professional growth, Dr. Muse is actively involved in student mentorship, knowledge sharing, and leading research initiatives that benefit both his community and the broader academic world.

Professional Profile

scopus

orcid

google scholar

Summary of Suitability for the Research for Best Researcher Award

Abdisalam Hassan Muse demonstrates a strong candidacy for the Research for Best Researcher Award. His academic background spans various disciplines, with a PhD in Statistics from the prestigious Pan African University, as well as multiple master’s degrees and a solid foundation in both Islamic studies and the sciences. His extensive teaching and research experience, particularly in statistics, data science, and mathematics, coupled with his proficiency in a wide array of statistical software, positions him as an authority in his field. His leadership roles, including as Director of the Research and Innovation Centre at Amoud University, reflect his capability in driving forward research initiatives, securing funding, and fostering a research-oriented academic environment.

🎓  Education 

Dr. Abdisalam Hassan Muse’s educational journey reflects a strong foundation in both Islamic studies and STEM fields. He earned his PhD in Statistics from the Pan African University (PAUSTI) in Nairobi, Kenya, with a focus on advanced statistical methodologies. Prior to that, he pursued an MSc in Climate Change and Environmental Sustainability from Amoud University, Somalia, and an MSc in Mathematics and Statistics. His undergraduate studies include a BA in Islamic Studies from Beder International University and a BSc in Mathematics and Physics from Amoud University. Additionally, Dr. Muse holds diplomas in Islamic Studies and Education for Mathematics and Physics, which complement his broad academic expertise. His education underscores a commitment to both scientific rigor and cultural awareness, providing a unique interdisciplinary perspective in his research and teaching. His diverse academic background positions him as a leader in statistical research and environmental sustainability.

💼  Experience 

Dr. Abdisalam Hassan Muse’s professional experience spans over a decade, with leadership roles in academia and research. Currently, he serves as the Director of the Research and Innovation Centre at Amoud University, where he leads research projects, fosters collaboration with industry partners, and promotes innovation across disciplines. Previously, he held the role of Assistant Professor at the School of Postgraduate Studies and Research at the same institution, where he taught statistics, mathematics, and data science, while mentoring students and leading seminars. Dr. Muse has also served as the Dean of the School of Postgraduate Studies and Research, overseeing strategic academic development and institutional growth. His earlier roles include Lecturer at Amoud University and Adal Medical University, where he was involved in teaching a wide array of subjects including biostatistics, physics, and mathematics. His dedication to education and research has been instrumental in shaping future scholars and advancing scientific knowledge.

🏅 Awards and Honors 

Dr. Abdisalam Hassan Muse has been recognized for his contributions to academia and research. His academic achievements include a PhD Scholarship at the Pan African University (PAUSTI), awarded for his outstanding performance and research potential in statistics. Throughout his career, he has received numerous accolades for his work in fostering innovation and education at Amoud University, where he led several successful research initiatives. Dr. Muse was also honored as a National GCSE Exam Marker by the Ministry of Science and Higher Education in Somaliland, highlighting his contributions to the educational sector at a national level. Additionally, his leadership as Dean of the School of Postgraduate Studies and Research earned him recognition for enhancing postgraduate education and research infrastructure. His continued commitment to advancing knowledge through teaching, research, and academic leadership has solidified his reputation as an influential figure in the field of statistics and data science.

🌍  Research Focus 

Dr. Abdisalam Hassan Muse’s research focus spans across various domains of statistics, data science, and environmental sustainability. His work in statistics involves developing and applying advanced methodologies in data analysis, machine learning, and quantitative methods to address complex problems. He is particularly interested in utilizing statistical tools to understand environmental changes, specifically in relation to climate change and sustainability. Dr. Muse’s interdisciplinary approach incorporates both statistical theory and practical applications, ensuring that his research has a real-world impact. His work has contributed to significant advancements in understanding the role of data in environmental policy-making, public health, and educational development. As a researcher, Dr. Muse also focuses on the integration of technology in education, exploring how digital tools can enhance learning outcomes in mathematics and statistics. His commitment to research is evident in his numerous publications and leadership roles in promoting academic innovation.

📖 Publication Top Notes

  • Title: Modelling the COVID‐19 Mortality Rate with a New Versatile Modification of the Log‐Logistic Distribution
  • Citation: 48
  • Title: On the log-logistic distribution and its generalizations: a survey
  • Citation: 35
  • Title: The Arctan‐X Family of Distributions: Properties, Simulation, and Applications to Actuarial Sciences
  • Citation: 32
  • Title: An extended cosine generalized family of distributions for reliability modeling: Characteristics and applications with simulation study
  • Citation: 31
  • Title: Bayesian and Classical Inference for the Generalized Log‐Logistic Distribution with Applications to Survival Data
  • Citation: 31

Dr. Inam Illahi | Software Engineering | Best Researcher Award

Posted on by sciencefather

Dr. Inam Illahi | Software Engineering | Best Researcher Award

Dr. Inam Illahi, Emerson University Mutlan, Pakistan

Inam Illahi is an accomplished Assistant Professor at Emerson University Multan, Pakistan. With a rich academic background and over a decade of teaching experience, he has made significant contributions to the field of computer science. Inam holds a PhD in Computer Science and Technology from the Beijing Institute of Technology, where he focused on Assistant Technologies for Crowdsourcing Software Development. His research encompasses machine learning, deep learning, and software development, yielding several publications in prestigious journals. In addition to his academic pursuits, Inam has worked in various educational institutions, enhancing the quality of education and fostering student engagement. His dedication to research and teaching reflects a passion for advancing knowledge and technology, making him a respected figure in his field. Inam’s commitment to improving educational practices and research outcomes highlights his role as a leader in academia.

Professioanl Profile

Google scholar

Summary of Suitability for the Research for Best Researcher Award

Inam Illahi is a highly qualified candidate for the Research for Best Researcher Award, showcasing a solid academic and professional background in computer science, particularly in the field of software development and machine learning. His extensive teaching experience at various reputable universities, including his current role as an Assistant Professor at Emerson University Multan, highlights his commitment to academia and his ability to contribute significantly to the educational sector.

🎓  Education

Inam Illahi’s educational journey is marked by notable achievements and a commitment to excellence. He earned his PhD in Computer Science and Technology from the Beijing Institute of Technology, China, between 2016 and 2022. His research during this time focused on Assistant Technologies for Crowdsourcing Software Development, resulting in impactful publications. Prior to his PhD, Inam completed his Master’s in Software Engineering and Management from Chalmers University of Technology, Sweden, in 2010, where he gained insights into software development practices. He also holds a Master of Computer Science from the University of Sargodha, Pakistan, which he completed in 2007. His educational foundation is complemented by a Bachelor of Arts in Computer Science and Economics from the same institution. Inam’s diverse academic experiences, along with his international exposure in Sweden and Denmark, have equipped him with a global perspective and a strong skill set in technology and education.

💼   Experience 

Inam Illahi possesses extensive experience in academia, contributing to various educational institutions over the past decade. Since March 2024, he has been serving as an Assistant Professor at Emerson University Multan, where he is involved in teaching and research activities. Before that, he held a Tenure Track Assistant Professor position at the University of Education, Lahore, Multan Campus, from August 2023 to March 2024. His earlier roles include Assistant Professor at the Institute of Southern Punjab and Lecturer positions at National Textile University, Faisalabad, and Riphah International University. Inam has also served as an Academic Coordinator at COMSATS Institute of Technology, where he played a crucial role in teaching and administration. His experience as a Deputy Director at the Quality Enhancement Cell at The University of Faisalabad further underscores his leadership abilities. Inam’s diverse roles highlight his commitment to enhancing the educational landscape through effective teaching and administrative practices.

🏅  Awards and Honors 

Inam Illahi’s commitment to excellence in research and education has earned him several accolades throughout his career. Notably, his innovative work in crowdsourcing software development and machine learning has resulted in multiple publications in reputable journals, receiving recognition from his peers. His research on the “Dr. Wheat” web-based expert system for diagnosing diseases in Pakistani wheat was presented at the International Conference of Information Security and Internet Engineering in London in 2008, showcasing his contributions to agricultural technology. In addition to research-related recognition, Inam has been actively involved in various academic committees and organizations, where his leadership skills have been acknowledged. His role as Deputy Director at The Quality Enhancement Cell highlighted his commitment to improving educational quality, further solidifying his reputation in academia. Inam’s dedication to research and education continues to inspire students and colleagues alike, contributing to his growing list of honors and achievements.

🌍  Research Focus

Inam Illahi’s research focuses primarily on the intersection of software development and artificial intelligence, with a particular emphasis on crowdsourcing and machine learning. His PhD thesis explored Assistant Technologies for Crowdsourcing Software Development, where he analyzed motivating and inhibiting factors for developers and success prediction in competitive crowdsourcing projects. His innovative contributions include the application of machine learning techniques for resolution prediction, enhancing the success rates of software development initiatives. Inam has published several influential papers in leading journals, examining various aspects of software project management and quality assurance. Notable works include studies on bug report prioritization using convolutional neural networks and severity prediction models. Through his research, Inam aims to bridge the gap between theory and practice in software development, providing valuable insights and tools for industry practitioners. His commitment to advancing knowledge in this rapidly evolving field makes him a key player in the research community.

📖 Publications Top Notes

  • Title: Deep neural network-based severity prediction of bug reports
    Cited by: 94
  • Title: CNN-based automatic prioritization of bug reports
    Cited by: 85
  • Title: Dr. Wheat: a Web-based expert system for diagnosis of diseases and pests in Pakistani wheat
    Cited by: 79
  • Title: Serum tumor necrosis factor-alpha as a competent biomarker for evaluation of disease activity in early rheumatoid arthritis
    Cited by: 19
  • Title: An empirical study on competitive crowdsource software development: motivating and inhibiting factors
    Cited by: 13

Prof. Yankuo Qiao | Finance | Best Researcher Award

Posted on by sciencefather

Prof. Yankuo Qiao | Finance | Best Researcher Award

Prof. Yankuo Qiao, The George B. Delaplaine Jr. School of Business, Hood College, United States

Yankuo Qiao is an Assistant Professor of Finance at Hood College’s George B. Delaplaine Jr. School of Business, where he began in August 2022. Prior to this, he held the position of Visiting Assistant Professor of Finance at Oakland University. His academic journey is marked by a strong focus on finance, having completed a Ph.D. in Management from Rutgers Business School, specializing in Finance and Economics. His research interests span corporate finance, governance, behavioral finance, and corporate social responsibility, among others. Dr. Qiao’s work has been presented at numerous prestigious conferences globally, such as the American Finance Association and the Western Economic Association. With a passion for teaching and mentoring, he imparts knowledge across various finance and management disciplines. His academic achievements and contributions continue to shape the next generation of business leaders while advancing research in finance.

Professional Profile

scopus

orcid

google scholar

Summary of Suitability for the Research for Best Researcher Award

Dr. Yankuo Qiao is a highly qualified candidate for the Research for Best Researcher Award. With a Ph.D. in Management from Rutgers Business School, Dr. Qiao has made notable contributions in finance and economics, particularly in corporate finance, governance, and corporate social responsibility. His academic journey is marked by a Dean’s Dissertation Fellowship, which reflects his scholarly excellence.

🎓  Education 

Yankuo Qiao holds a Ph.D. in Management with a focus on Finance and Economics from Rutgers Business School, completed in May 2021. His dissertation, “Three Essays in Corporate Management and Firm Policy,” reflects his deep expertise in corporate finance, with a committee chaired by renowned professors Ivan Brick, Darius Palia, and others. His academic journey began with a B.Sc. in Economics from the School of Business, Shandong University in May 2014. He later pursued an M.Sc. in Quantitative Finance from Rutgers Business School, graduating in May 2016, further enhancing his skills in financial analysis, corporate governance, and investment strategies. His education, combined with his research, has given him a solid foundation for his teaching and professional career, particularly in areas such as corporate governance, behavioral finance, and international business.

💼  Experience

Dr. Yankuo Qiao is currently serving as an Assistant Professor of Finance at Hood College, where he has been since August 2022. He previously held the role of Visiting Assistant Professor of Finance at Oakland University from August 2021 to July 2022. During his academic tenure, he has taught various finance and business-related courses, including Managerial Finance, Corporate Finance, and International Business, at both undergraduate and graduate levels. His expertise extends beyond teaching, as he is also actively involved in academic research and publishing, with a particular focus on corporate governance, corporate social responsibility, and behavioral finance. His teaching experience spans esteemed institutions like Rutgers Business School, where he served as a primary instructor for advanced finance courses. Dr. Qiao’s experience also includes organizing workshops, contributing to curriculum development, and mentoring students in research methodologies.

🏅  Awards and Honors

Throughout his academic career, Dr. Yankuo Qiao has garnered several accolades that reflect his dedication to excellence. Notably, he was awarded the prestigious Dean’s Dissertation Fellowship for Academic Excellence at Rutgers Business School during his Ph.D. studies. His dissertation work, recognized for its insightful contributions to corporate finance and firm policy, earned him further acclaim in his field. Additionally, Dr. Qiao’s research has been featured in top-tier conferences, such as the American Finance Association (AFA) Annual Meeting and the Financial Management Association Annual Meeting. His paper presentations have been well-received at notable venues like the Western Economic Association International, where his innovative research on corporate governance and behavioral finance continues to influence academia. He has also been invited to numerous seminars and conferences worldwide, showcasing his expertise and dedication to advancing financial research.

🌍 Research Focus 

Dr. Yankuo Qiao’s research primarily revolves around corporate finance, governance, and social responsibility, with a keen interest in understanding how corporate decision-making affects firm performance. He explores the dynamics of corporate governance, particularly in how internal and external mechanisms influence a CEO’s investment cycle and decision-making. His research also delves into behavioral finance, examining the psychological factors that affect financial decisions, and corporate social responsibility, exploring its impact on firm value and sustainability. Additionally, Dr. Qiao applies machine learning techniques to financial analysis, investigating the implications of textual data in finance and accounting. His current projects include studies on hate crimes’ impact on analyst behaviors, CEO career experiences in China, and the nexus of top management teams’ structures with stock liquidity and valuation. His forward-looking research is presented at global conferences, contributing significantly to the fields of finance and governance.

 📖 Publuaction Top Notes

  • The Application in the Portfolio of China’s A-share Market with Fama-French Five-Factor Model and the Robust Median Covariance Matrix
    • Citation: 9
  • Impact of Internal Governance on a CEO’s Investment Cycle
    • Citation: 6
  • The impact of external business environment on corporate social responsibility: Theoretical implications and empirical evidence
    • Citation: 3
  • CEO turnover, stakeholder management, and dynamics between corporate social responsibility and firm performance
    • Citation: 2
  • Attunement theory, CEO’s cyclical influence on corporate social responsibility and firm value
    • Citation: 2

Mr. Daniel Morariu | Resilience | Best Researcher Award

Posted on by sciencefather

Mr. Daniel Morariu | Resilience | Best Researcher Award

Mr. Daniel Morariu, Lucian Blaga University of Sibiu, Romania

Morariu Ionel Daniel is an esteemed associate professor at “Lucian Blaga” University of Sibiu, Romania, with expertise in computer science, automatic systems, data mining, and machine learning. Born on September 17, 1974, in Sighisoara, he has dedicated over two decades to education and research. He holds a Bachelor’s and Master’s degree in Computer Science from “Lucian Blaga” University and completed his PhD in Computer Science with a focus on “Automatic Knowledge Extraction from Unstructured Data” in 2007. Daniel has been a consistent contributor to advanced research, particularly in data mining, neural networks, and natural language processing. With a robust portfolio of software engineering and academic experience, his career includes impactful projects in automation systems, energy control solutions, and numerous published research papers. His dedication to knowledge dissemination and technological advancements has earned him respect in both academic and industrial circles.

Professional Profile

google scholar

Summary of Suitability for the Award

Dr. Morariu Ionel Daniel stands out as a highly qualified candidate for the Research for Best Researcher Award, particularly due to his extensive academic background, research experience, and contributions in the field of Computer Science. His educational path, including a PhD focused on automatic knowledge extraction from unstructured data, demonstrates his depth in data mining and machine learning, areas that are essential in today’s technological landscape. Furthermore, his PhD was supported by SIEMENS Corporate Technology, highlighting the practical relevance of his work.

 🎓  Education 

Daniel Morariu completed his secondary education at “Mircea Eliade” Theoretic High School, Sighisoara, between 1989-1993. He pursued higher education at “Lucian Blaga” University of Sibiu’s Engineering Faculty, earning a Bachelor’s degree in Computer Science and Automatic Systems in 1998. His academic journey continued with a Master’s degree in Computer Science in 1999, specializing in “Parallel and Distribute Processing Systems” from the same university. His thirst for knowledge culminated in a PhD in Computer Science, awarded in April 2007. His PhD research focused on “Contributions to Automatic Knowledge Extraction from Unstructured Data,” under the supervision of Professor Lucian N. Vințan. Supported by SIEMENS Corporate Technology from Munich, his doctoral research provided significant insights into data mining and natural language processing. This strong educational foundation has positioned him as a distinguished academic in the field of computer science.

💼     Experience 

Daniel Morariu has held a variety of academic positions throughout his career. He began as a teaching assistant at “Lucian Blaga” University in 1998, contributing to courses such as Microprocessors and Object-Oriented Programming. From 2003 to 2007, he served as a lecturer, teaching advanced courses in Neural Networks and Data Mining. In 2007, he became an associate professor, focusing on courses like Data Mining, Machine Learning, and Interfaces and Communication Protocols. Outside academia, Morariu gained valuable industry experience. He worked with SC Consultens Informationstechnik SRL, a German software company, as a software engineer from 2001 to 2002. He also worked as an engineer at SC IRMES SA Sibiu from 1998 to 2000, developing software for monitoring generators and controlling gas supply in thermoelectric power stations. His career reflects a strong blend of academic expertise and practical industry experience, especially in computer science and automation systems.

🏅  Awards and Honors

Throughout his career, Daniel Morariu has been recognized for his contributions to computer science and engineering. His PhD research, supported by SIEMENS Corporate Technology from Munich, was a notable achievement, reflecting both scientific and financial backing from a prestigious institution. Over the years, his dedication to teaching and research has earned him accolades within the academic community at “Lucian Blaga” University, including recognition for his innovative approach to data mining and machine learning education. His work in automation systems, particularly in the energy sector, has also been praised for its practical applications, further solidifying his status as a leading figure in the intersection of academia and industry. Though specific awards are not listed, his consistent professional growth and contributions speak to a career filled with academic accomplishments and recognition.

 🌍  Research Focus

Daniel Morariu’s research primarily revolves around data mining, machine learning, and natural language processing. His academic focus is on extracting meaningful knowledge from unstructured data using advanced techniques such as Support Vector Machines (SVM) and neural networks. His PhD dissertation on “Contributions to Automatic Knowledge Extraction from Unstructured Data” set the foundation for his continuing research into text document processing and computational linguistics. Additionally, he explores the applications of these technologies in real-world problems, particularly in automation systems and energy sector monitoring. His work on computational linguistics helps bridge the gap between machine learning models and language understanding, while his research in data mining enhances predictive models across industries. Morariu’s blend of theoretical research and practical applications has made him a valuable contributor to advancements in these fields, influencing both academic research and industrial applications.

📖 Publication Top Notes

  • Feature selection methods for an improved SVM classifier
    • Cited by: 31
  • Meta-Classification using SVM Classifiers for Text Documents
    • Cited by: 27
  • The WEKA Multilayer Perceptron Classifier
    • Cited by: 22
  • Text Mining Methods Based on Support Vector Machine
    • Cited by: 22
  • Evolutionary Feature Selection for Text Documents Using the SVM
    • Cited by: 22

Dr. Phuong Nguyen-Thanh | Engineering | Best Researcher Award

Posted on by sciencefather

Dr. Phuong Nguyen-Thanh | Engineering | Best Researcher Award

Dr. Phuong Nguyen-Thanh, National Kaohsiung University of Science and Technology, Taiwan

Phuong Nguyen Thanh is a dedicated Postdoctoral Researcher at the Energy Technology Research Center (ETRIC) in the Department of Electrical Engineering at the National Kaohsiung University of Science and Technology. Born on April 14, 1988, in Vietnam, he has developed a strong academic and professional background in electrical engineering and energy systems. His core skills encompass independent research, teaching various subjects in English, and programming in multiple languages, including JavaScript and MATLAB. With a passion for renewable energy integration, Phuong aims to contribute significantly to advancements in power systems. He is fluent in Vietnamese and English and has basic proficiency in Chinese. His professional journey reflects a commitment to fostering knowledge and innovation in the field of electrical engineering.

Professional Profile

Orcid

Summary of Suitability for the Research for Best Researcher Award

Phuong Nguyen Thanh’s expertise in Electrical Engineering and Energy Technology positions him as a highly suitable candidate for the Research for Best Researcher Award. His background as a Postdoc Researcher at the Energy Technology Research Center (ETRIC), combined with his significant teaching experience at Nha Trang University, demonstrates a strong blend of academic knowledge and practical research ability. His PhD from National Kaohsiung University of Science and Technology further emphasizes his dedication to advancing energy systems, a critical area in modern research.

 🎓 Education 

Phuong Nguyen Thanh earned his Doctor of Philosophy in Electrical Engineering from the National Kaohsiung University of Science and Technology in 2022, where he focused on integrating artificial intelligence and deep learning algorithms in power systems. Before that, he completed his Master’s degree in Electronic and Computer Engineering at RMIT Vietnam in November 2014, a branch of the renowned Royal Melbourne Institute of Technology in Australia. His academic foundation includes a Bachelor’s degree in Electrical Engineering from the University of Vietnam Technology, where he specialized in Energy Systems, graduating in December 2010. Phuong’s strong educational background equips him with the theoretical knowledge and practical skills essential for addressing complex challenges in energy technology, paving the way for his impactful research in renewable energy and smart systems.

 💼 Experience

Phuong Nguyen Thanh has a rich professional experience in academia and research. He is currently a Postdoctoral Researcher at the Energy Technology Research Center (ETRIC), National Kaohsiung University of Science and Technology, where he applies AI and deep learning algorithms to enhance power systems since September 2022. Prior to this role, he served as a full-time lecturer at Nha Trang University, Vietnam, from 2010 to January 2019, where he taught courses on Power Systems, Power Dispatching Strategies, and Programming on Microcontrollers. His teaching methods emphasized practical applications and hands-on learning, fostering a deep understanding of electrical engineering among his students. Phuong has demonstrated his commitment to education and research by developing various applications for smartphones on Android and iOS platforms, as well as engaging in independent research projects that focus on renewable energy solutions and smart grid technologies.

🏅 Awards and Honors 

Phuong Nguyen Thanh has received several accolades for his contributions to the field of electrical engineering and renewable energy. His academic excellence was recognized with a scholarship for his Ph.D. studies at the National Kaohsiung University of Science and Technology, underscoring his commitment to advancing knowledge in energy technology. During his Master’s program at RMIT Vietnam, he was awarded a merit scholarship for outstanding performance in his coursework. Phuong has also been acknowledged for his innovative research projects, which have been presented at various national and international conferences. His dedication to teaching has earned him positive evaluations from students and faculty alike, reflecting his effective communication skills and passion for educating the next generation of engineers. Phuong’s continued pursuit of research excellence is expected to yield further recognition as he contributes to significant advancements in renewable energy integration and smart systems.

 🌍 Research Focus 

Phuong Nguyen Thanh’s research focus lies in the integration of renewable energy technologies and the application of artificial intelligence (AI) in power systems. His recent work involves exploring deep learning algorithms to enhance the efficiency and reliability of energy distribution networks. Phuong is particularly interested in developing smart grid solutions that can adapt to dynamic energy demands while optimizing the use of renewable sources such as solar and wind power. He aims to create innovative algorithms for energy management systems that can facilitate the seamless integration of distributed energy resources. Additionally, Phuong’s research investigates the implementation of microcontroller programming in energy systems to improve automation and control. Through his work at the Energy Technology Research Center (ETRIC), he seeks to address the challenges of renewable energy integration and contribute to the development of sustainable energy solutions for the future.

 📖 Publication Top Notes

  • Hourly load prediction based feature selection scheme and hybrid CNN-LSTM method for building’s smart solar microgrid
  • A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach
  • Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm
  • Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0
  • Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm

Dr. Soheila Kookalani | Construction | Best Researcher Award

Posted on by sciencefather

Dr. Soheila Kookalani | Construction | Best Researcher Award

Dr. Soheila Kookalani, Cambridge University, United Kingdom

Soheila Kookalani is a distinguished Research Associate at the University of Cambridge, specializing in Civil and Structural Engineering. She has a profound expertise in steel reuse, the circular economy, life-cycle assessment, and the integration of digital twin technologies in construction. Her research focuses on leveraging artificial intelligence and machine learning to optimize structural designs, promoting sustainability in construction. Soheila holds a Ph.D. in Civil and Structural Engineering from Shanghai Jiao Tong University, where she pioneered research on GFRP elastic gridshells. With a commitment to environmental responsibility, she continuously explores innovative ways to integrate sustainable practices into building designs, aiming to revolutionize construction methodologies. She has numerous publications in leading journals, demonstrating her contribution to both academia and the industry. Her work emphasizes sustainable engineering practices that align with modern technological advancements, particularly in the realm of structural optimization and reuse strategies.

Professional Profile

google scholar

Summary of Suitability for the Research for Best Researcher Award

Soheila Kookalani’s innovative approach to structural engineering, coupled with her strong commitment to sustainability and integration of advanced technologies, positions her as a highly suitable candidate for the Research for Best Researcher Award. Her work has significant implications for the future of sustainable construction, making her a valuable asset to both academia and industry.

🎓 Education 

Soheila Kookalani pursued her academic journey with a solid foundation in architectural and civil engineering. She earned her Bachelor of Science in Architectural Engineering from Azad University in Iran, where her thesis explored hybrid architecture in cinematic arts. She then advanced her studies with a Master of Science in Civil and Structural Engineering from Hohai University, China, focusing on the seismic performance of hybrid structures in high-rise buildings. Her academic journey culminated with a Ph.D. from Shanghai Jiao Tong University, China, where she focused on the structural optimization of GFRP elastic gridshells using machine learning techniques. Her doctoral research contributed to advancing knowledge in structural design and building sustainability. Throughout her studies, Soheila has consistently integrated innovative technologies, such as artificial intelligence and machine learning, into her research, making her an authority in the field of structural design and optimization for sustainable construction.

💼 Experience 

Soheila Kookalani has accumulated extensive experience in civil and structural engineering, with a primary focus on sustainable design practices. She currently serves as a Research Associate at the University of Cambridge, where she is engaged in a groundbreaking project on the reuse of structural steel in construction. Her experience spans across diverse areas, including the circular economy, life-cycle assessment, building information modeling (BIM), and digital twin technology. From 2018 to 2022, she conducted research on GFRP elastic gridshells as part of her Ph.D. at Shanghai Jiao Tong University. Prior to this, Soheila gained practical experience working on seismic performance evaluation of hybrid structures during her Master’s at Hohai University. Her expertise also extends to the application of artificial intelligence in optimizing structural designs, demonstrating her capacity to bridge the gap between theoretical research and practical application in sustainable construction.

🏅Awards and Honors 

Throughout her academic and professional career, Soheila Kookalani has been recognized for her outstanding contributions to civil and structural engineering. She has received several prestigious awards and honors, including recognition from leading engineering conferences and academic institutions. Her work on the integration of AI and machine learning in structural design has garnered international attention, earning her accolades for innovation in sustainable construction. Soheila has also been honored for her research on GFRP elastic gridshells, receiving commendations for excellence in structural optimization and sustainable design. Her role as a published author in top-tier engineering journals has further solidified her reputation as a leading researcher in the field. Additionally, Soheila’s contributions to the reuse of structural steel and her involvement in cutting-edge projects at the University of Cambridge have earned her numerous industry awards, highlighting her commitment to environmental responsibility and sustainable engineering practices.

🌍 Research Focus 

Soheila Kookalani’s research is centered on the intersection of civil engineering, sustainability, and advanced technology. Her primary focus is on steel reuse, promoting a circular economy in construction through the reuse of structural components. She is also deeply involved in life-cycle assessments, aiming to reduce the environmental impact of construction projects. Her research integrates building information modeling (BIM) and digital twin technology to enhance the design, monitoring, and optimization of construction projects. Soheila is particularly interested in applying artificial intelligence (AI) and machine learning to optimize structural designs, especially in the context of GFRP elastic gridshells. Her work on generative AI in structural engineering seeks to streamline design processes and improve sustainability. By combining these advanced technologies, her research contributes to developing more efficient, eco-friendly building practices that align with global sustainability goals.

📖 Publication Top Notes

  • BIM-based augmented reality for facility maintenance management
    • Cited by: 24
  • Structural analysis of GFRP elastic gridshell structures by particle swarm optimization and least square support vector machine algorithms
    • Cited by: 18
  • Shape optimization of GFRP elastic gridshells by the weighted Lagrange ε-twin support vector machine and multi-objective particle swarm optimization algorithm considering …
    • Cited by: 14
  • An analytic approach to predict the shape and internal forces of barrel vault elastic gridshells during lifting construction
    • Cited by: 14
  • Effect of Fluid Viscous Damper parameters on the seismic performance
    • Cited by: 14