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.

Tayfun Sengul | Best Researcher Award | Data-informed Decision Making

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 Tayfun Sengul - Kutahya Dumlupinar University - Data-informed Decision Making🏆

Assist Prof Dr Tayfun Sengul : Data-informed Decision Making

Professional profile:

Early Academic Pursuits:

Tayfun Şengül began his academic journey at Dumlupınar University, Kutahya, where he completed his Bachelor of Science in Civil Engineering between 1995 and 2000. Following this, he pursued his Master of Science in Geotechnical Engineering from 2000 to 2003 at the same university, focusing on the geotechnical properties of clays contaminated by heavy metals and salts. His dedication to the field led him to Yildiz Technical University, Istanbul, where he earned his Ph.D. in Geotechnics from 2004 to 2010. His doctoral research was centered on the improvement of soft soils by utilizing prefabricated vertical drains.

Professional Endeavors:

Over the years, Tayfun has gathered significant professional experience both nationally and internationally. He has served as a Visiting Scholar at Syracuse University, New York, on multiple occasions between 2008 and 2015. Furthermore, he has held various roles at Dumlupınar University, Kutahya, including Assistant Professor and Research and Teaching Assistant. Additionally, he enriched his academic portfolio with roles at Yildiz Technical University and the University of Wisconsin-Madison, where he also engaged in research and teaching.

Contributions and Research Focus:

Tayfun Şengül's research primarily revolves around soil mechanics, foundation engineering, and experimental soil mechanics. His publications span a range of topics, including the effects of stabilization on highway clay soils, factors affecting efficiency in flocculation, and the investigation of liquefaction potential using Geographical Information Systems. Tayfun has been instrumental in various scientific research projects, such as the stabilization of clayey soils with waste marble powder and investigating the use of geotextile tubes for industrial waste storage.

Accolades and Recognition:

While Tayfun Şengül's detailed accolades aren't explicitly mentioned in the provided content, his extensive list of publications, research projects, and affiliations with prestigious institutions like Syracuse University and the University of Wisconsin-Madison speaks volumes about his recognition and contributions to the field of geotechnical engineering.

Impact and Influence:

Tayfun's contributions have significantly impacted the field of geotechnical engineering, particularly in soil mechanics, foundation engineering, and environmental geotechnics. His research has provided valuable insights into soil stabilization methods, dewatering behavior, and the use of innovative materials like fly ash and geotextile tubes. By disseminating his findings through conferences, journals, and academic collaborations, he has fostered knowledge exchange and advancements in geotechnical practices globally.

Legacy and Future Contributions:

As an established figure in geotechnical engineering, Tayfun Şengül's legacy is marked by his comprehensive research, academic endeavors, and professional engagements. His commitment to advancing soil mechanics and foundation engineering is evident through his extensive publications, projects, and lectures. Looking ahead, Tayfun is poised to continue his research, mentor future geotechnical engineers, and contribute further to sustainable and innovative solutions in the realm of soil mechanics and foundation engineering.

By synthesizing his early academic pursuits, professional endeavors, contributions and research focus, accolades and recognition, impact and influence, and legacy and future contributions, Tayfun Şengül emerges as a prominent figure in geotechnical engineering with a profound commitment to advancing the field through research, education, and innovation.

Notable Publication:

Investigating the effects of stabilization carried out using fly ash and polypropylene fiber on the properties of highway clay soils Construction and Building Materials, 2023, 400, 132590

Laboratory determination of smear and transition zones due to prefabricated vertical drain installation Marine Georesources and Geotechnology, 2017, 35(7), pp. 895–904

Effect of polymer and fiber usage on dewatering and compressibility behavior of fly ash slurries Marine Georesources and Geotechnology, 2017, 35(5), pp. 678–687

Dewatering performance of fiber-reinforced fly ash slurry Geotechnical Special Publication, 2014, (243 GSP), pp. 98–107

Determination of a wall performance in multi-layered soil conditions - A case study Geotechnical Special Publication, 2014, (242 GSP), pp. 954–964

Citations:

A total of 27 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :27
  • h-index         :6
  • Documents  :3

 

Ch Rajyalakshmi | Deep learning using medical image data | Best Researcher Award

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Mrs Ch Rajyalakshmi - B V Raju Institute of Technology - Deep learning using medical image data

Mrs Ch Rajyalakshmi : Deep learning using medical image data

Professional profile:

Early Academic Pursuits:

Mrs. Ch. Rajyalakshmi's academic journey commenced with a Bachelor's degree in Computer Science and Information Technology from NEC, Narsaraopeta, in 2004. This laid the foundation for her pursuit of a Master's degree in Computer Science and Engineering at AVIET, Narsipatnam, in 2011. Building on her academic prowess, she is currently pursuing a Ph.D. at JNTU Kakinada, with her thesis focusing on "HIGH SPECTRAL SATELLITE IMAGE SEGMENTATION WITH DEEP LEARNING UNET BASED TECHNIQUES FOR GENERATING FLOOD INUNDATION."

Professional Endeavors:

With a teaching experience spanning 18 years, Dr. Rajyalakshmi has played pivotal roles in various academic institutions. She has been an Associate Professor at BVRIT, Narsapur, since 2011, following roles as an Assistant Professor at CMRIT Engg College, Hyderabad, and a Lecturer at Narsaraopeta Engineering College, Narsaraopeta, earlier in her career.

Contributions and Teaching Experience:

Mrs. Rajyalakshmi's expertise in computer science is evident through the diverse range of courses she has taught. From Artificial Intelligence and Machine Learning to Database Design and Operating Systems, she has contributed significantly to the education of students. Her teaching extends to areas such as Computer Networks, Software Engineering, Multimedia and Design, and Human-Computer Interaction.

Research Focus and Publications:

Mrs. Rajyalakshmi's research interests primarily revolve around the application of Deep Learning architectures for spatial data, particularly in processing high spectral satellite images for water body identification. Her publications in renowned journals and conferences reflect the depth of her contributions to the field. Some notable publications include works on satellite image data extraction using classification techniques and the detection of active attacks in Mobile Ad Hoc Networks (MANETs).

Accolades and Recognition:

Mrs. Rajyalakshmi's academic achievements include being FET Qualified in 2011 and GATE Qualified in 2006. Her commitment to excellence is also evident in her completion of various NPTEL courses and Coursera certifications, covering topics such as Machine Learning, Database Management Systems, Deep Learning, and Artificial Intelligence.

Impact and Influence:

Through her research and teaching endeavors, Mrs. Rajyalakshmi has made a significant impact on the academic community. Her publications and patents attest to her dedication to advancing knowledge in computer science and related domains.

Legacy and Future Contributions:

As a seasoned educator and researcher, Mrs. Rajyalakshmi continues to shape the academic landscape. Her administrative responsibilities, including course coordination, involvement in accreditation processes, and leadership roles in various committees, showcase her commitment to the holistic development of educational institutions. With an ongoing Ph.D. pursuit and an impressive list of publications and patents, she is poised to leave a lasting legacy in the realms of computer science, education, and research. Her multifaceted contributions highlight a career marked by continuous growth, learning, and impactful contributions to academia.

Notable Publications:

Citations:

A total of  8 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations     8
  • h-index         2

Andrzej Ślebarski | Excellence in Research | Data Analysis Innovation

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Andrzej Ślebarski | Excellence in Research - Award Winner 2023

Prof Dr Andrzej Ślebarski : Data Analysis Innovation

Congratulations to Prof. Dr. Andrzej Ślebarski, a true trailblazer in the realm of Data Analysis Innovation! Your unwavering commitment to excellence in research has earned you the prestigious International Research Data Analysis Excellence Award. Your groundbreaking contributions and innovative approaches in data analysis have not only set a new standard but have also significantly advanced our understanding of complex datasets. Your dedication and achievements inspire us all. Here's to celebrating your well-deserved success and the impact you continue to make in the field. Cheers to a visionary leader and award winner!

Professional Profiles:

Early Academic Pursuits:

Andrzej Ślebarski began his academic journey at the University of Silesia in Katowice, where he obtained his Master's degree in Physics in 1973. Subsequently, he pursued his doctoral studies at the same university, earning his Ph.D. in 1978. His early research focused on structural and magnetic investigations of ternary Laves phases, particularly in the GdMn2-GdAl2 system.

Professional Endeavors:

Dr. Ślebarski's academic career has been extensive and impactful. He joined the Institute of Physics at the University of Silesia in 1973, starting as an Assistant and gradually progressing through various roles, including Adiunkt, Assistant Professor, Associate Professor, and finally reaching the position of Full Professor in 2003. His responsibilities included both teaching physics to students and conducting scientific research in experimental solid-state physics.

In 2021, he transitioned to become a Full Professor at the Institute of Low Temperatures and Structure Research, Polish Academy of Sciences, Wrocław, following his retirement from the University of Silesia in Katowice.

Contributions and Research Focus:

Dr. Ślebarski's research has primarily centered around solid-state physics, with a specific focus on the electronic structure of intermetallic compounds of rare earths. His experimental techniques involved X-ray spectroscopy, including XPS (X-ray photoelectron spectroscopy), XES (X-ray emission spectroscopy), BIS (Bremstrahlung isochromat spectroscopy), XANES, and others. His investigations delved into specific heat, electric and heat transport, and magnetic properties of metals and alloys containing rare earths, exploring phenomena such as fluctuant valency, Kondo effect, heavy fermion properties, and quantum phase transitions.

His interest extended to strongly correlated electron phenomena in d- and f-electron materials, encompassing superconductivity, magnetism, heavy fermion behavior, and non-Fermi liquid behavior. Notably, he focused on unconventional superconductivity arising from atomic disorder.

Accolades and Recognition:

Throughout his career, Dr. Andrzej Ślebarski has received prestigious awards, including the award of the Polish Academy of Sciences in 1990 and 1982, as well as the award of the Minister of Science and Education in 1983, 1979, and 2021. His contributions have been recognized both nationally and internationally.

Impact and Influence:

Dr. Ślebarski's international collaborations and numerous visits abroad have further enriched his research and contributed to the global scientific community. Noteworthy are his collaborations with institutions such as the University of Cologne, University of Osnabrueck, and University of California, San Diego, where he engaged in fruitful scientific exchanges and research programs.

Legacy and Future Contributions:

As a Vice President of the Committee of Physics of the Polish Academy of Sciences and a member of various scientific councils, Dr. Ślebarski continues to play a significant role in shaping the direction of physics research in Poland. His extensive experience, both in administration and academia, positions him as a valuable figure in the scientific community. The legacy of his research, mentorship, and leadership will likely continue to influence the field of solid-state physics for years to come.

Notable Publications:

Citations:

A total of  665  citations for his publications, demonstrating the impact and recognition of his research within the academic community.

Citations                665

h-index  19            16

i10-index                25

 

Dragana Rakasevic | Data Analysis | Women Researcher Award

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Dragana Rakasevic | Women Researcher  Award Winner 2023  🏆

Dr Dragana Rakasevic : Data Analysis

Congratulations to Dr. Dragana Rakasevic on winning the Women Researcher Award at the International Research Data Analysis Excellence Awards! Your exceptional contributions to the field shine brightly, and this recognition is well-deserved. Wishing you continued success in your impactful research journey!

Professional profile:

Early Academic Pursuits:

Dr. Dragana Rakasevic embarked on her academic journey by graduating from the Faculty of Dentistry at the University of Belgrade, Serbia, in 2011. Her commitment to continuous learning is evident in her high school education at "Gymnasium Ivo Lola Ribar" and her attendance at the High Music School "Petar Krancevic," both in Sremska Mitrovica.

Professional Endeavors:

With a specialization in Periodontology, Implantology, and Oral Medicine from the Faculty of Dental Medicine, University of Belgrade (2015-2018), Dr. Rakasevic has since been actively engaged in research, education, and clinical practice. Her roles include Research Associate at the Faculty of Dental Medicine, University of Belgrade, Serbia, and Visiting Researcher at the Faculty of Dentistry in Santiago de Compostela, Spain. She also served as a Research Assistant in a significant project on periodontal and periimplantitis mechanisms funded by the Ministry of Education, Science, and Technological Development, Government of the Republic of Serbia.

Contributions and Research Focus:

Dr. Rakasevic has made substantial contributions to her field, culminating in her defended Ph.D. thesis titled "Evaluation of Photodynamic Therapy in the Treatment of Peri-Implantitis" in September 2017. Her research primarily revolves around understanding and addressing contemporary systemic diseases related to periodontal and periimplantitis.

Accolades and Recognition:

Acknowledging her expertise, Dr. Rakasevic was awarded the prestigious ITI Scholarship, allowing her to further her research and specialization in Madrid and Santiago de Compostela, Spain, in 2022-2023.

Impact and Influence:

With a diverse skill set ranging from clinical expertise to research proficiency, Dr. Rakasevic's influence extends to her roles as a Consulting Doctor in private dental offices, contributing to patient care and education. Her active involvement in international research collaborations, such as the ITI Scholarship, showcases her commitment to advancing dentistry globally.

Legacy and Future Contributions:

Dr. Dragana Rakasevic's legacy is characterized by her dedication to improving dental care through research, education, and clinical practice. Her future contributions are likely to encompass continued advancements in periodontology, implantology, and oral medicine, further solidifying her position as a respected professional in the field.

Notable Publication:

Reliability of conventional shade guides in teeth color determination
Association of Functional Polymorphisms in Matrix Metalloproteinase-9 and Glutathione S-Transferase T1 Genes with Temporomandibular Disorders
Staining and aging-dependent changes in color of CAD-CAM materials
Comparison of the Accuracy of Optical Impression Systems in Three Different Clinical Situations
Technical complication of a zirconia multiple-unit FDP supported by titanium base abutments - case report on a bonding failure and treatment alternative