Umair Jalil Malik – Application of ML in Civil Engineering – Young Scientist Award 

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Mr. Umair Jalil Malik - Application of ML in Civil Engineering - Young Scientist Award 

National University of Sciences & Technology - Pakistan

Author Profile

Early Academic Pursuits

Mr. Umair Jalil Malik embarked on his academic journey with a Bachelor of Science in Civil Engineering from the prestigious National University of Science and Technology (NUST), Islamabad, Pakistan. During his undergraduate years from September 2019 to June 2023, he demonstrated exceptional aptitude in structural engineering, majoring in Structural Engineering, and maintained an outstanding CGPA of 3.81/4.00. His academic pursuits were characterized by a keen interest in innovative and sustainable concrete technology, evidenced by his thesis titled "Evaluation of Effective Stiffness of High-performance Fiber reinforced cement composites (HPFRCC)/Engineered Cementitious Composite at the Material Level, cross-section Level, and Structural Level."

Professional Endeavors

Mr. Umair's professional journey reflects a commitment to excellence and a passion for research and development in civil engineering. He engaged in various roles, including his current position as a Laboratory Engineer at NUST, Pakistan, where he delivers lectures, advises students, and manages lab operations. His tenure as a Junior Engineer at INN Consulting Engineers and a Research Assistant under the supervision of Dr. Rao Arsalan Khushnood showcased his versatility and capacity for in-depth research, data analysis, and project documentation.

Contributions and Research Focus

Mr. Umair's research interests span a wide array of topics crucial to advancing civil engineering practices. Notably, his research articles and publications demonstrate a focus on cutting-edge areas such as High-performance Fiber reinforced cement composites (HPFRCC)/Engineered Cementitious Composite (ECC), Engineering Geopolymer Composite (EGC), innovative and sustainable concrete technology including 3D Printed Concrete, Micro-Mechanical Modeling, and applications of Machine Learning in civil engineering. His contributions to journals and ongoing research projects underscore his dedication to advancing knowledge and technology in these critical domains.

Accolades and Recognition

Mr. Umair's academic and professional achievements have been recognized through various honors and awards. He secured the 5th position in the National Competition on Design of long-span buildings organized by NED UET Karachi, Pakistan, showcasing his prowess in structural design and seismic evaluation. Additionally, his consistent academic performance earned him multiple merit-based scholarships at NUST. Furthermore, he received research funding for his Final Year Project from Prime Engineering & Testing Consultants, further validating the significance of his work in the industry.

Impact and Influence

Mr. Umair's contributions extend beyond academic and professional realms, as evidenced by his active involvement in volunteer experiences and leadership roles within various societies and organizations. His commitment to social responsibility, evident through initiatives such as providing education to street children and organizing donation drives, highlights his holistic approach to making a positive impact on society.

Legacy and Future Contributions

Looking ahead, Umair is poised to continue making significant contributions to the field of civil engineering. His diverse skill set, encompassing technical expertise, research acumen, and leadership abilities, positions him as a catalyst for innovation and progress in the industry. Through ongoing research endeavors, collaborative projects, and mentorship roles, Umair is set to leave a lasting legacy in advancing sustainable infrastructure development, seismic resilience, and cutting-edge construction technologies, thereby shaping the future landscape of civil engineering both locally and globally.

Notable Publication

 

Raquel Cantero Téllez – Modelos predictivos – Women Researcher Award 

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Prof Dr. Raquel Cantero Téllez - Modelos predictivos - Women Researcher Award 

Universidad de Málaga - Spain

Author Profile

Early Academic Pursuits

Prof Dr. Raquel Cantero Téllez embarked on her academic journey by attaining a Diploma in Physiotherapy in 1998, followed by a Diploma in Occupational Therapy in 2010. This foundation paved the way for her dual career path in clinical practice and academia. Her pursuit of knowledge led her to specialize in hand injuries, a field she has consistently dedicated herself to throughout her career.

Professional Endeavors

Prof Dr. Raquel's professional trajectory is characterized by a seamless blend of clinical work, academic pursuits, and leadership roles. She began her international journey in 2000 with a scholarship at the Centro Studi Mano in Milan, where she delved into different clinical environments. Following this, she transitioned into a role that combined clinical practice with teaching and research at the University degli Studi di Milano.

Returning to Spain in 2004, she established the first Hand Therapy Unit in the country and founded the Spanish Association of Hand Therapists, showcasing her commitment to advancing the field domestically. Moreover, her educational initiatives, such as launching specialized programs in Hand Therapy, filled critical gaps in Spain's healthcare education landscape.

Contributions and Research Focus On Modelos predictivos

Prof Dr. Raquel's research focus centers on hand rehabilitation, evident in her extensive publication record and leadership in numerous projects. Her work explores diverse facets of hand injuries, ranging from proprioception to functional recovery post-injury. Notably, she has led pivotal studies, such as investigating the impact of high-intensity laser therapy on thumb osteoarthritis.

Furthermore, her collaborations on international projects, such as those with the IBIMA HandResearchTeam, highlight her global impact in advancing hand therapy practices and knowledge dissemination.

Accolades and Recognition

Prof Dr. Raquel's contributions have earned her international recognition, evident in her invitations as a keynote speaker and committee member at prestigious congresses. Her research publications have garnered significant citations, underscoring their relevance and impact within the scientific community.

Impact and Influence

Prof Dr. Raquel's influence extends beyond academia through her active engagement in social media platforms and the creation of dedicated online communities for hand therapists. By leveraging these platforms, she facilitates the exchange of knowledge and fosters collaboration among professionals globally, thereby amplifying her impact.

Legacy and Future Contributions

Prof Dr. Raquel's legacy lies in her sustained dedication to advancing hand therapy practices, her significant research contributions, and her role as a mentor to future generations of therapists. Looking ahead, she aims to further enhance her research endeavors, expand her educational initiatives, and establish specialized research lines to address emerging challenges in hand rehabilitation. Her commitment to improving patient outcomes and advancing the field ensures a lasting legacy of excellence and innovation in hand therapy.

Citations

  • Citations   457
  • h-index       12
  • i10-index    15

Notable Publication

 

Amirhosein Bodaghi – Predictive Analysis – Best Researcher Award

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Dr. Amirhosein Bodaghi - Predictive Analysis - Best Researcher Award

University of Ulster, Belfast UK

Author Profiles

Dr. Amirhosein Bodaghi

Early Academic Pursuits

Dr. Amirhosein Bodaghi obtained his Ph.D. in Information Technology Engineering from the University of Tehran, where he focused on modeling rumor spreading on online social networks. His doctoral research, enriched by a visiting period at the Federal University of Rio de Janeiro, explored how human behavior and dissenting opinions influence the dynamics of digital communication. This phase laid the groundwork for his enduring interest in computational social science and the intersection of technology, networks, and human behavior.

Professional Endeavors

Dr. Bodaghi currently works in a research and teaching role at Ulster University, Belfast, UK, contributing to data-driven innovations in predictive analytics and social computing.
He previously completed postdoctoral fellowships at the City University of Hong Kong—ranked among the world’s top 70 universities—and at the Federal University of Rio de Janeiro, Brazil’s leading research institution.

Earlier in his career, he served as an official delegate of the Asia-Pacific Telecommunity (APT) at the International Telecommunication Union (ITU), where he contributed to global ICT initiatives in cybersecurity, e-accessibility, and e-commerce. His professional trajectory reflects a unique blend of academic rigor and international collaboration.

Contributions and Research Focus on Predictive Analysis

Dr. Bodaghi’s research lies at the intersection of big data analysis, complex networks, and computational social science. His studies investigate the mechanisms of information diffusion, fake news propagation, and semantic dynamics on large-scale social networks such as Twitter and Instagram.

Recent works include pioneering methods for financial anomaly prediction and election forecasting through the semantic analysis of news flows. His publications have appeared in top-tier journals, including Computer Communications, Expert Systems with Applications, Decision Analytics Journal, Journal of Computational Social Science, and Social Network Analysis and Mining.

Accolades and Recognition

With an h-index of 8, Dr. Bodaghi has authored and co-authored papers in highly ranked Q1 and Q2 journals and presented at international conferences such as UCAmI 2024 (Belfast) and Computer Networks, Big Data and IoT 2022 (India).
He holds the title of Associate Fellow of the Higher Education Academy (AFHEA) in the United Kingdom and has secured research funding for FinTech projects in the Hong Kong Science Park.

Impact and Influence

Dr. Bodaghi’s interdisciplinary work bridges data science, artificial intelligence, and social behavior modeling. His insights into online information dynamics contribute to combating misinformation, enhancing financial forecasting systems, and improving algorithmic transparency. His research offers valuable guidance for policymakers, technology companies, and academic communities navigating the challenges of the digital information era.

Legacy and Future Contributions

Continuing his research at Ulster University, Dr. Bodaghi aims to expand predictive modeling frameworks that integrate semantic networks and AI-driven decision systems. His work remains instrumental in advancing computational methods that decode the complexity of social interactions in digital spaces.

Citations

Citations: 300

h-index: 8

i10-index: 8

Notable Publications

Financial Anomaly Prediction by Using Semantic Space of News Flow on Twitter, Decision Analytics Journal, 2024.

A Big Data Analysis of the Adoption of Quoting Encouragement Policy in Twitter during the 2020 U.S. Presidential Election, Journal of Computational Social Science, 2024.

The Theater of Fake News Spreading: Who Plays Which Role? A Study on Real Graphs of Spreading on Twitter, Expert Systems with Applications, 2022.

The Characteristics of Rumor Spreaders on Twitter: A Quantitative Analysis on Real Data, Computer Communications, 2020.

A Longitudinal Analysis on Instagram Characteristics of Olympic Champions, Social Network Analysis and Mining, 2022.

The Rumor Categorizer: An Open-Source Software for Analyzing Rumor Posts on Twitter, Software Impacts, 2022.

Zheyi Chen | Machine Learning Applications | Best Researcher Award

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Zheyi Chen | Best Researcher Award - Biography

Prof Dr Zheyi Chen : Machine Learning Applications

Professional profile:

Early Academic Pursuits:

Prof Dr. Zheyi Chen embarked on his academic journey with a Bachelor's degree in Computer Science and Technology from Shanxi University, China, where he laid the foundation for his future endeavors. He continued his education with a Master's degree in Computer Science and Technology from Tsinghua University, China, under the guidance of Prof. Yongwei Wu.

For his doctoral studies, Prof. Chen pursued a Ph.D. in Computer Science at the University of Exeter, U.K., from September 2017 to October 2021. During this period, he worked under the supervision of Prof. Geyong Min and Dr. Jia Hu, contributing to the field of computer science and further honing his research skills.

Professional Endeavors:

Following his academic pursuits, Prof Dr. Zheyi Chen transitioned into the role of an Associate Professor and Ph.D. Supervisor at the College of Computer and Data Science, Fuzhou University, China, from December 2021 to January 2023. Subsequently, he assumed the position of a Professor and Ph.D. Supervisor in the same department from February 2023 onwards, signifying a progression in his academic career.

Contributions and Research Focus:

Prof Dr. Chen's research interests encompass Cloud/Edge Computing, Resource Optimization, Deep Learning, and Deep Reinforcement Learning. His notable contributions include leading research projects such as "Research on Efficient and Adaptive Resource Optimization in Cloud-Edge Environments" and "Research and Application of Key Technologies for Resource Optimization and Data Processing in Cloud-Edge Collaborative Environment."

He has significantly advanced the understanding of resource allocation in mobile edge computing and the development of key technologies for big data intelligence. His expertise extends to the exploration and practice of training postgraduate students aligned with the "Digital Fujian" strategy.

Accolades and Recognition:

Prof Dr. Zheyi Chen's contributions to the field have been acknowledged through prestigious awards, including the "World’s Top 2% Scientists" in 2023, the "First Prize of Fujian Science and Technology Progress" in 2021, and multiple "First Prizes for Outstanding Papers" at the Annual Academic Conference of Fujian Computer Society in 2021 and 2023.

Impact and Influence:

As an active member of IEEE, ACM, and CCF, Prof. Chen has played a pivotal role in the academic community. His involvement in conference organization, as seen in his roles as Web and System Management Chair for IEEE SustainCom-2020 and IEEE SmartCity-2018, highlights his commitment to fostering scholarly exchange.

He has also served as a reviewer for reputable journals and conferences, including IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, and IEEE/CAA Journal of Automatica Sinica, contributing to the rigorous evaluation and dissemination of research in his field.

Legacy and Future Contributions:

Prof Dr. Zheyi Chen's legacy is marked by his leadership in influential research projects, academic recognition, and service to the community. His commitment to advancing knowledge in Cloud/Edge Computing and related fields positions him as a key figure in shaping the future of computer science. As he continues to lead research projects, mentor students, and contribute to scholarly activities, Prof. Chen is poised to leave a lasting impact on the field and inspire future generations of researchers.

Notable Publications:

Citations:

A total of  921 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      921
  • h-index         13
  • i10-index      15

Zhi Liu | Best Researcher Award | Machine Learning Applications

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 Zhi Liu | Best Researcher Award  Winner 2023  🏆

Dr Zhi Liu : Machine Learning Applications

🏆 Congratulations to Dr. Zhi Liu!

 International Research Data Analysis Excellence Awards Best Researcher Award Winner Recognizing Dr. Liu's outstanding contributions in Machine Learning Applications. Your dedication to research excellence has set a benchmark for the global scientific community. Well-deserved honor!

Professional profile:

Early Academic Pursuits

Liu Z started his academic journey with a focus on computer software and theory at Northeast Normal University, where he pursued a master's degree in Computer Software and Theory from September 2014 to January 2017. During this period, his research interests included recommendation systems, artificial intelligence, machine learning, and natural language processing.

Professional Endeavors

Subsequently, he advanced his academic pursuits by obtaining a Ph.D. in Mechanical Manufacturing and Automation from the University of the Chinese Academy of Sciences (2017-2022). His doctoral research concentrated on artificial intelligence, machine teaching, knowledge graphs, natural language processing (NLP), natural language understanding (NLU), machine reading comprehension (MRC), and knowledge modeling.

Research Focus

The core of Liu Z's doctoral research was the development of machine teaching methods for human-machine collaboration. His dissertation focused on leveraging natural language processing (NLP) techniques in the medical domain to explore how AI models could be taught through interactive human-machine methods. The goal was to enhance learning efficiency by incorporating existing knowledge systems and incorporating correction mechanisms into the learning process.

Contributions and Research Output

Liu Z has made significant contributions to the field, as evidenced by his research outcomes and publications. Notably, he co-authored a paper titled "AttentiveHerb: A Novel Method for Traditional Medicine Prescription Generation" and secured a patent for a method analyzing symptom-drug relationships using new artificial intelligence technology.

His work extended to Chinese traditional medicine, with a paper on "TCMNER and PubMed: A Novel Chinese Character-Level-Based Model and a Dataset for TCM Named Entity Recognition." In addition, Liu Z contributed to the field of event extraction with a paper on structural dependency self-attention-based hierarchical event models.

Recognition and Impact

Liu Z's contributions have not gone unnoticed, as he received funding from the 71st batch of the China Postdoctoral Science Foundation. His work in the medical domain, specifically on the generation of traditional herbal medicine prescriptions, was acknowledged in a transfer learning model published in the journal "Artificial Intelligence in Medicine."

Future Contributions and Legacy

Transitioning to a postdoctoral role at Zhejiang Lab, Liu Z continued his research in natural language processing, understanding, and knowledge graphs. His accomplishments include the development of large models tailored to specific vertical domains, such as finance and traditional Chinese medicine. His work in numerical reasoning and a transfer learning-based dual-augmentation strategy for rare disease syndrome differentiation in traditional Chinese medicine showcases his commitment to advancing the field.

Liu Z's legacy extends beyond academic achievements, with patents, conference papers, and impactful research contributing to the broader landscape of artificial intelligence, natural language processing, and medical applications. His efforts are likely to leave a lasting mark on the integration of AI into medical practices and knowledge systems.

Notable publication :

International Research Data Analysis Excellence Awards | Award Winners 2023

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PRASHANT KUMAR | Best Researcher Award Winner 2023  🏆

PRASHANT KUMAR : Applications of AI and ML in Power Quality

Congratulations to Prashant Kumar for achieving the Best Researcher Award in the field of Power Quality! Prashant Kumar's outstanding work on the Applications of AI and ML in Power Quality has earned him the prestigious Winner title at the International Research Data Analysis Excellence Awards. This recognition highlights his significant contributions to advancing research and innovation in the intersection of artificial intelligence, machine learning, and power quality. Well done on this remarkable achievement!

Professional profile:

Early Academic Pursuits:

Dr. Prashant Kumar embarked on his academic journey with a Bachelor's in Electrical Engineering from West Bengal University of Technology in 2009. This foundation laid the groundwork for his subsequent academic and professional endeavors.

Educational Attainment:

Building on his undergraduate degree, Dr. Kumar completed his Master's in Electrical Engineering from SRM University, Chennai, in 2013. He pursued further academic excellence by earning a Ph.D. from SVNIT, Surat, in 2023.

Professional Endeavors:

Dr. Prashant Kumar's professional journey includes roles as an Electrical Design Consultant at Voltplug Electric, Surat, and various academic positions such as Assistant Professor and Head of Department at institutions like Symbiosis Skill and Professional University and Zeal College of Engineering and Research in Pune.

Contributions and Research Focus:

His research interests lie in the performance analysis of Hybrid energy systems and village electrification using AI/ML. Dr. Kumar has an impressive record of published papers, both internationally and nationally, with citations in reputable journals. His work showcases a dedication to advancing knowledge in the field of electrical engineering, particularly in the application of artificial intelligence and machine learning.

Accolades and Recognition:

Dr. Prashant Kumar has been recognized for his academic contributions with memberships in prestigious organizations such as the Indian Society for Technical Education and the Solar Energy Society of India. His active participation in international associations and conferences further underscores his recognition in the global academic community.

Impact and Influence:

With an H-index of 7 and I-index of 5, Dr. Kumar's research has left a notable impact, evident in the citations of his publications in esteemed journals. His work in AI/ML applications for village electrification is poised to influence sustainable energy solutions.

Legacy and Future Contributions:

As the Head of the Department and with a track record of guiding M.Tech and B.Tech students, Dr. Prashant Kumar is contributing significantly to shaping the next generation of engineers. His administrative skills and involvement in accreditation activities highlight a commitment to academic excellence. Dr. Kumar's continued research and mentorship are likely to leave a lasting legacy in the field of electrical engineering.

Notable Publications:

Design and Implementation of Smart Home Control using LabVIEW

Optimal design configuration using HOMER

Optimal design configuration using HOMER

Analysis of Hybrid Systems: Software Tools

Enhancement of power quality by an application of FACTS devices

Application of fact devices for voltage stability in a power system