Mrs. Polina Vesselova | Biological Sciences | Best Researcher Award

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Mrs. Polina Vesselova | Biological Sciences | Best Researcher Award

leading researcher, Institute of Botany and Phytointroduction, Kazakhstan

Vesselova Polina Vasilyevna is a distinguished botanist with an impressive career spanning over 38 years, including 31 years dedicated to scientific research and education 🌱📚. Her profound contributions to plant biodiversity, conservation, and agrobiodiversity in Kazakhstan have been widely acknowledged both locally and internationally. She has served as the head of bachelor’s, master’s, and doctoral programs, mentoring future scholars with dedication and expertise. Her collaborations stretch across continents, with academic engagements in the USA, Russia, and multiple international publications and projects in Europe and Asia 🌍.

Publication Profile

Scopus

🎓 Education Background

Polina began her academic journey at Kazakh State University (KazGU) in Almaty, where she laid the foundation for her future in botany. Her deep-rooted interest in plant sciences evolved through consistent scholarly engagement, including internships at the Missouri Botanical Garden (USA) and the Komarov Botanical Institute (Russia) in 2014, enriching her global perspective on botanical sciences 🌿✈️.

🏢 Professional Experience

Polina’s professional path is rooted in two primary institutions. From 1991 to 2022, she was a leading figure at the Institute of Botany and Phytointroduction in Almaty, contributing to major botanical studies 🌼. Simultaneously, she worked with KazEkoProekt LLP (1999–2011), enhancing environmental and ecological project implementation 🌳. She has also actively led academic programs and supervised numerous research students, making her a pillar in Kazakhstan’s botanical education and research.

🏆 Awards and Honors

Though not explicitly listed, Polina’s role as the responsible executor of national scientific and technical programs, and her leadership in high-level international projects like “Flora of the Tien Shan – Green Path of Central Asia”, stand as strong indicators of her professional recognition 🥇🌍. Her invitations to prominent international institutions and numerous publications in Q2 and Q3 journals reflect the scholarly community’s respect for her work.

🔬 Research Focus

Polina’s research primarily revolves around the botanical diversity, conservation of wild relatives of cultivated plants, plant biodiversity in protected areas, and sustainable agrobiodiversity management 🌾🌍. Her focus aligns with global ecological priorities, including contributions to the Global Strategy for Plant Conservation. She has led efforts on understanding Kazakhstan’s flora, especially in the Tien Shan region, making significant strides toward green economy transitions 🌿📊.

🔚 Conclusion

Vesselova Polina Vasilyevna exemplifies a lifelong commitment to botany through research, education, and environmental stewardship 🌱💚. Her work continues to influence conservation policy, scientific understanding, and botanical education in Central Asia and beyond. Her over 180 publications, including 9 collective monographs, mark her as a key contributor to modern botanical sciences in Kazakhstan and globally.

📝 Publication Top Notes 

Crop wild relatives of Kazakhstani Tien Shan: Flora, vegetation, resources
Journal: Plant Diversity, 2020 – Q2 (Percentile 79%)
Citations: 5

Current Growth Conditions of Populus Diversifolia Schrenk and Populus Pruinosa Schrenk in the Syr-Darya Valley
Journal: OnLine Journal of Biological Sciences, 2022 – Q3 (Percentile 45%)

Supplement to the flora of the State National Natural Park “Altyn-Emel” (Republic of Kazakhstan)
Journal: Turczaninowia, 2018 – Q3 (Percentile 30%)
Citations: 1

IAPT Chromosome Data 29/2
Journal: Taxon, 2019 – Q2 (Percentile 67%)
Citations: 1

Complete Plastid Genome Sequences of Four Salsoleae s.l. Species: Comparative and Phylogenetic Analyses
Journal: Biomolecules, 2024 (Full text access restricted)
Citations: 1

Ms. Gulmira Kudabayeva | Taxonomy | Best Researcher Award

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Ms. Gulmira Kudabayeva | Taxonomy | Best Researcher Award

leading researcher, Institute of Botany and Phytointroduction, Kazakhstan

Dr. Gulmira M. Kudabayeva is a distinguished Kazakh botanist with decades of dedicated service in plant sciences, particularly botany, phytogeography, and flora research. With a long-standing association with the Institute of Botany and Phytointroduction in Almaty, Kazakhstan, she has contributed immensely to the classification, preservation, and sustainable use of plant biodiversity. Her meticulous scientific efforts and leadership roles have established her as a key figure in Kazakhstan’s botanical research landscape. 🌿📚

Publication Profile

Scopus

🎓 Education Background

Dr. Kudabayeva completed her higher education at Kazakh State University named after S.M. Kirov, Faculty of Biology, from 1969 to 1974, where she received a Diploma in Biology. She later pursued her postgraduate studies from 1976 to 1979 at the Institute of Botany of the Academy of Sciences of the Kazakh SSR, specializing in “03.00.05 – Botany”. She was awarded the Candidate of Biological Sciences degree in 1985 and the academic title of Senior Researcher in 1991, majoring in Biochemistry. 🎓🌱

💼 Professional Experience

Beginning her career in 1974 as a senior laboratory assistant at the Institute of Botany, Dr. Kudabayeva has held various prestigious roles including Senior Engineer, Junior and Senior Scientific Employee, and Head of the Laboratory of Higher Plant Flora. Her professional timeline spans decades of contributions within the Academy of Sciences of the Kazakh SSR and later the Institute of Botany and Phytointroduction in Almaty. As of 2022, she continues to serve as a Leading Researcher, further advancing Kazakhstan’s botanical sciences. 🧪🌍

🏆 Awards and Honors

Dr. Kudabayeva has authored over 260 scientific publications, including more than 100 research articles published after obtaining her candidate degree, some in international peer-reviewed journals with impact factors. She is credited with 7 collective monographs, multiple brochures, and 2 author’s certificates for innovations in plant species passports and ecological mapping systems. Her work has significantly influenced national plant conservation efforts nd biodiversity documentation. 📖🥇

🔬 Research Focus

Her research centers on systematics, phylogenetics, and phytogeography, with a special interest in the flora of Kazakhstan, particularly wild relatives of cultivated plants, ecological states of regional flora, and species conservation. She has led major projects on the State Cadastre of Plants, interactive ecological mapping, and has been a vital contributor to Kazakhstan’s scientific field missions and international botanical collaborations. 🌸🧬🌍

🔚 Conclusion

With a remarkable academic and professional journey, Dr. Gulmira M. Kudabayeva has established herself as a leading figure in botanical research in Kazakhstan. Her unwavering dedication, leadership, and prolific scientific output continue to inspire future generations of researchers in plant sciences. 🌿💚

📚 Top Publications 

Sustainable use of economically valuable and conservation of rare plant species in Almaty region – Conference Paper, Year: Not listed, Co-authored with G.T. Sitpayeva, N.G. Gemejiyeva, P.V. Vesselova, and E.S. Sametova. This publication focuses on the strategic use and protection of rare flora in Almaty.
Cited by: 0

Phylogenetic and Origin Species of the Family Chenopodiaceae (Amaranthaceae S.L.) (Kyzylorda Region, Kazakhstan) – Journal and year: Not listed
Cited by: Not specified

Phytocenotic features of species of the genus Salsola L. (Chenopodiaceae / Amaranthaceae) in the desert part of the Syrdarya river valley – Journal and year: Not listed
Cited by: Not specified

On the study of the coenoflora of poplar relict woodlands of the middle course of the Syrdarya river – Journal and year: Not listed
Cited by: Not specified

Dr. Waeal Obidallah | Blockchain Technology | Best Researcher Award

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Dr. Waeal Obidallah | Blockchain Technology | Best Researcher Award

Assistant Professor, Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia

Dr. Waeal J. Obidallah 🌍 is a dynamic researcher and academician with over a decade of expertise in both corporate and academic realms. With a rich blend of experience in digital transformation, machine learning, data mining, and electronic business technologies, Dr. Obidallah has continually driven innovative outcomes in every role he has undertaken. Known for his leadership in guiding cross-functional teams and for his analytical mindset, he seamlessly bridges the gap between research theory and practical application. His inspiring approach, commitment to growth, and passion for pushing boundaries make him a prominent figure in the fields of digital innovation and intelligent systems.

Publication Profile

🎓 Education Background

Dr. Obidallah earned his Ph.D. in Digital Transformation and Innovation from the University of Ottawa, Canada 🇨🇦 (2014–2021), where he developed cutting-edge expertise in leveraging technology for transformative change. He previously completed his MSc in Electronic Business Technologies at the same university (2011–2013), equipping him with a solid foundation in the digital economy, e-commerce, and business intelligence systems.

💼 Professional Experience

Currently serving as an Assistant Professor at the Imam Mohammad ibn Saud Islamic University in Riyadh, Saudi Arabia 🇸🇦 since 2021, Dr. Obidallah has been instrumental in shaping curriculum and guiding research in the College of Computer and Information Sciences, Department of Information Systems. His professional background includes leading interdisciplinary teams in both academia and industry, delivering data-driven solutions and high-impact publications.

🏅 Awards and Honors

While no individual awards are listed, Dr. Obidallah’s profile is marked by significant academic impact 📈, evidenced by over 100+ citations, 54 co-authors, and contributions to renowned international journals. His consistent scholarly output reflects recognition and respect within the global research community.

🔬 Research Focus

Dr. Obidallah’s research focuses on Digital Transformation, Data and Text Mining, Machine Learning, FinTech, Blockchain, and Big Data 📊. He is especially interested in applying AI and data science techniques to enhance intelligent systems, industrial operations, medical sensors, and smart environments. His work also incorporates Design Science Research Methodology (DSRM) to structure innovation with academic rigor.

🧩 Conclusion

A lifelong learner and dedicated innovator, Dr. Waeal Obidallah continues to influence the evolving landscape of data-driven technologies with his deep expertise and enthusiastic leadership. 🚀 His unwavering pursuit of excellence, coupled with his motivational spirit, has made him a role model for aspiring researchers and collaborators alike. Embracing challenges beyond the comfort zone, he is committed to making impactful contributions in the ever-changing digital world.

📚 Top Publication Notes

Quantum computational infusion in extreme learning machines for early multi-cancer detection – Journal of Big Data, 2025
Cited by: 1 | This innovative article explores the fusion of quantum computing with ELMs to revolutionize early cancer diagnostics.

Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments – Scientific Reports, 2025
Cited by: 2 | A comprehensive study of deep learning models designed for predictive maintenance in limited-resource industrial setups.

AI-based energy aware parent selection mechanism to enhance security and energy efficiency for smart homes in IoT – Expert Systems, 2025
A novel AI-powered method optimizing security and energy in IoT home systems.
DOI: 10.1111/exsy.13647

Beyond the hype: A TAM-based analysis of blockchain adoption drivers in construction industry – Heliyon, 2024
Offers insights into real-world blockchain adoption using the Technology Acceptance Model (TAM).
DOI: 10.1016/j.heliyon.2024.e38522

Ensuring the integrity assessment of IoT medical sensors using hesitant fuzzy sets – Health Informatics Journal, 2024
Focuses on trustworthy IoT applications in healthcare via fuzzy logic.
DOI: 10.1177/14604582241301019

Intelligent Reconfigurable Surface Assisted Constellation Index Selection Spatial Modulation Over Nakagami-m Fading Channels – IEEE Access, 2024
Technical exploration of smart communication channels with reconfigurable surfaces.
DOI: 10.1109/ACCESS.2024.3455998

 

 

Mr. Muhammad Azhar Memon | Biological Sciences | Best Researcher Award

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Mr. Muhammad Azhar Memon | Biological Sciences | Best Researcher Award

PhD Scholar, Nanjing Agricultural University, China, Pakistan

Dr. Muhammad Azhar, also known as Azhar Memon, is a dedicated veterinary professional and researcher specializing in veterinary parasitology 🦠. With an M.Phil. in Veterinary Parasitology from Sindh Agriculture University, he has actively contributed to animal healthcare, disease surveillance, and research in Pakistan. Currently, he serves as a Veterinary Doctor/Surgeon at Pet Village Animal Hospital, Karachi, and as a Veterinary Officer for the Government of Sindh. His expertise spans molecular parasitology, animal disease surveillance, and livestock management, making significant contributions to veterinary science.

Publication Profile

ORCID

🎓 Educational Background

Dr. Azhar holds a Doctor of Veterinary Medicine (DVM) 🎓 from Sindh Agriculture University, Tando Jam (2013-2018). Pursuing his passion for research, he completed an M.Phil. in Veterinary Parasitology (2019-2020) from the same institution. His academic excellence earned him the Chancellor’s Gold Medal 🏅 in the Faculty of Animal Husbandry and Veterinary Sciences.

💼 Professional Experience

With extensive experience in veterinary medicine and research, Dr. Azhar has worked across various institutions. He currently serves as a Veterinary Officer at the Livestock and Fisheries Department, Government of Sindh and as a Veterinary Doctor/Surgeon at Pet Village Animal Hospital, Karachi. Previously, he contributed as a Research Associate at the Sindh Institute of Animal Health and as a Research Scholar at Sindh Agriculture University. His work spans animal healthcare, disease surveillance, livestock management, and vaccine development 🏥.

🏆 Awards and Honors

Dr. Azhar’s contributions to veterinary science have been recognized with prestigious accolades. He received the Chancellor’s Gold Medal 🏅 for academic excellence and was awarded the HEC Indigenous Scholarship 🎓 by the Higher Education Commission of Pakistan. His active membership in professional societies, including the Pakistan Society of Parasitology and Pakistan Veterinary Medical Practitioner, further highlights his commitment to the field.

🔬 Research Focus

Dr. Azhar’s research is centered on veterinary parasitology, zoonotic diseases, animal disease surveillance, and antimicrobial resistance 🔍. He has contributed to molecular diagnostics, vaccine development, and livestock disease management. His studies on Haemonchus contortus, beta-lactamase resistance in Escherichia coli, and cadmium toxicity in male reproduction have been published in reputed journals, reflecting his expertise in veterinary and biomedical sciences.

🔝 Top Publications

Effect of Chilling, Freezing and Freeze-Thaw Cycles on Quality Characteristics of Goat Meat (Chevon) – Pakistan Journal of Zoology, 2025. [DOI: 10.17582/JOURNAL.PJZ/20240129072937]

Research Progress of Cadmium Toxicity on Male Reproduction Health – ASK Publishers, 2024.

A Comprehensive Review on Haemonchus contortus Excretory and Secretory Proteins (HcESPs): Vaccine Development and Diagnostic Antigen – Acta Tropica, 2024. [DOI: 10.1016/J.ACTATROPICA.2024.107462]

Detection of extended-spectrum beta-lactamase genes among Escherichia coli isolates of buffalo mastitis mil – Ecological Genetics and Genomics, 2024. [DOI: 10.1016/J.EGG.2024.100297]

Babesiosis: Current status and future perspectives in Pakistan and chemotherapy used in livestock and pet animals – Heliyon, 2023. [DOI: 10.1016/j.heliyon.2023.e17172]

🔚 Conclusion

Dr. Muhammad Azhar is a distinguished veterinarian, researcher, and academic committed to advancing veterinary medicine 🐾. His contributions to animal healthcare, disease control, and biomedical research have earned him significant recognition. With a passion for veterinary science and parasitology, he continues to innovate and contribute to the well-being of animals and public health.

Dr. José Ángel Rubiño | Health Professions | Best Researcher Award

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Dr. José Ángel Rubiño | Health Professions | Best Researcher Award

Professor, University of the Balearic Islands, Spain

Dr. José Ángel Rubiño-Díaz is a distinguished Spanish researcher and academic specializing in chronobiology, neuropsychology, and nursing. With a career spanning over two decades, he has made remarkable contributions to biological rhythms, sleep neurophysiology, and clinical neuroscience. As a dedicated nurse, psychologist, and neuroscientist, he seamlessly integrates his expertise across disciplines. He is currently affiliated with the Universitat de les Illes Balears (UIB) and Hospital Universitario Son Espases (HUSE), where he actively engages in teaching, research, and clinical practice. His work has been recognized with multiple research awards, and he continues to contribute significantly to scientific literature and academic mentorship.

Publication Profile

ORCID

🎓 Academic Background

Dr. Rubiño-Díaz earned his Nursing degree from the University of Almería (1999) and later pursued a Psychology degree at the University of Granada (2003). His academic journey continued with a Master’s in Neuroscience from the Universitat de les Illes Balears (2011), where he later completed his Ph.D. in Neuroscience (2019) with Cum Laude distinction. He also holds a Diploma in Advanced Studies in Psychobiology from UNED (2013). His extensive postgraduate training includes research methodologies and bibliographic studies, further enhancing his contributions to neuroscience and clinical psychology.

💼 Professional Experience

Dr. Rubiño-Díaz has built a multifaceted career encompassing clinical, academic, and research roles. He has been a faculty member at UIB since 2011, teaching in nursing and psychology programs, and has supervised multiple master’s theses and doctoral research. In addition to his academic role, he serves as a researcher at HUSE, where he focuses on sleep neurophysiology, biological rhythms, and neuropsychology. His clinical expertise extends to his role as a nurse in emergency care and as a clinical psychologist specializing in neuropsychology. He is also the coordinator of the Neuropsychology Working Group at the Official College of Psychologists of the Balearic Islands (GT-NPS-COPIB), actively engaging in scientific dissemination and clinical training.

🏆 Awards and Honors

Dr. Rubiño-Díaz’s groundbreaking research has been recognized with several prestigious awards. He received research excellence awards from HUSE in 2017 and 2020 for his contributions to nursing and neuroscience. His project on sleep and rest in emergency services was awarded at the 1st International Congress on Humanization in Emergency Medicine. His continuous academic and research excellence has earned him significant recognition in the fields of neuropsychology, nursing, and biological rhythms.

🔬 Research Focus

Dr. Rubiño-Díaz’s research revolves around chronobiology, neuropsychology, and biological rhythms, with a particular focus on sleep neurophysiology. He has conducted pioneering studies on the impact of sleep on cognitive function and mental health, exploring interventions like light therapy for improving mood and sleep quality in the elderly. His research spans nursing, psychobiology, and neuroscience, making significant contributions to the understanding of non-REM and REM sleep, circadian rhythms, and their effects on health and well-being. As an investigator in multiple research groups, he collaborates on projects advancing clinical applications of sleep science.

🔍 Conclusion

Dr. José Ángel Rubiño-Díaz stands as a leading figure in the intersection of nursing, psychology, and neuroscience. His commitment to scientific research, clinical practice, and academic mentorship reflects his passion for advancing medical knowledge. With an extensive publication record, multiple research collaborations, and dedication to healthcare innovation, he continues to impact neuropsychology, sleep research, and emergency nursing. His work is shaping the future of biological rhythm studies and patient-centered healthcare.

📚 Publication Top Notes

The Disputable Costs of Sleeping (2025) – Biology
DOI: 10.3390/biology14040352
A multidisciplinary study analyzing the economic and biological costs of sleep patterns in mammals.

Actitudes y motivaciones en la investigación enfermera en un hospital de nivel III (2024) – Index de Enfermería Digital
DOI: 10.58807/indexenferm20246855
Investigates the research attitudes and motivations among nursing professionals in a tertiary hospital.

Mammalian NREM and REM sleep: Why, when and how (2023) – Neuroscience & Biobehavioral Reviews
DOI: 10.1016/j.neubiorev.2023.105041
Explores the evolutionary and functional aspects of NREM and REM sleep in mammals.

The Birth of the Mammalian Sleep (2022) – Biology
DOI: 10.3390/biology11050734
Examines the origins and development of sleep mechanisms in mammals.

Efecto positivo de la terapia de luz brillante sobre el estado de ánimo y la calidad del sueño en las personas mayores institucionalizadas (2021) – Revista Española de Geriatría y Gerontología
 Demonstrates the benefits of bright light therapy on mood and sleep quality in elderly populations.

Dr. Jiaheng Peng | Data Science | Best Researcher Award

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Dr. Jiaheng Peng | Data Science | Best Researcher Award

PhD Candidate, East China Normal University, China

Jiaheng Peng is a dedicated Ph.D. candidate at East China Normal University, specializing in Open Source Ecosystem, Natural Language Processing, and Evaluation Science. With a strong academic record and a passion for research, he has contributed significantly to understanding Open Source dataset evaluation. His work bridges the gap between academic research and real-world Open Source applications, earning him recognition in the field.

Publication Profile

Google Scholar

🎓 Academic Background

Jiaheng Peng is pursuing his Ph.D. at East China Normal University, focusing on innovative methods to assess Open Source datasets. His research emphasizes citation network analysis, evaluating long-term dataset usage, and developing advanced Natural Language Processing (NLP) models. His academic journey is marked by high-impact publications in top-tier journals and international conferences, reflecting his expertise in computational analysis and data evaluation.

👨‍💼 Professional Experience

Although Jiaheng does not have industry consultancy or ongoing research projects, his scholarly contributions have made a substantial impact on Open Source ecosystem analysis. He actively publishes in high-impact scientific journals and conferences, ensuring that his findings help enhance dataset evaluation metrics. His commitment to advancing data-driven methodologies sets a solid foundation for future research in Open Source analysis.

🏆 Awards and Honors

Jiaheng Peng’s research excellence has been acknowledged with the Best Paper Award at the 1st Open Source Technology Academic Conference (2024). His publications in Q1-ranked journals further highlight his academic impact. His continuous contributions to the Open Source community demonstrate his dedication to advancing research and innovation in Open Source evaluation.

🔬 Research Focus

Jiaheng’s research primarily addresses the limitations of traditional Open Source data insight metrics. His work connects Open Source datasets with their corresponding academic papers, evaluating their significance through citation network mining. By bridging Open Source data with academic insights, he introduces novel evaluation methodologies that enhance dataset usability and long-term impact analysis. His research also extends into Aspect-Based Sentiment Classification, employing advanced Graph Attention Networks and NLP models to extract meaningful insights.

📌 Conclusion

Jiaheng Peng is a rising scholar in the Open Source and NLP domains, with a keen focus on dataset evaluation, citation network analysis, and sentiment classification. His academic contributions, recognized through prestigious awards and top-tier publications, establish him as a promising researcher dedicated to advancing Open Source dataset analytics. With a commitment to scientific excellence, his work continues to influence the global research community.

📚 Publication Top Notes

Evaluating long-term usage patterns of open source datasets: A citation network approach
BenchCouncil Transactions on Benchmarks, Standards and Evaluations (2025)
Cited by: Pending

DRGAT: Dual-relational graph attention networks for aspect-based sentiment classification
Information Sciences (2024)
Cited by: Pending

Data Driven Visualized Analysis: Visualizing Global Trends of GitHub Developers with Fine-Grained Geo-Details
International Conference on Database Systems for Advanced Applications (2024)
Cited by: Pending

ASK-RoBERTa: A pretraining model for aspect-based sentiment classification via sentiment knowledge mining”
Knowledge-Based Systems (2022)
Cited by: Multiple researchers in NLP and sentiment analysis

Mr. Md Tanvir rahman Tarafder | Information Technology | Best Researcher Award

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Mr. Md Tanvir rahman Tarafder | Information Technology  | Best Researcher Award

Data analysis, Westcliff university, United States

Tanvir Rahman Tarafder is a passionate and results-driven cloud computing professional with a strong foundation in software development and IT solutions. With expertise in AWS services, including EC2, S3, Lambda, and RDS, he thrives in building scalable and efficient cloud-based architectures. His journey from a Computer Science graduate to a cloud enthusiast reflects his commitment to innovation and problem-solving. Beyond his technical expertise, Tanvir is a team player and excellent communicator, always eager to explore new technological advancements and contribute to impactful projects.

Publication Profile

Google Scholar

Academic Background 🎓

Tanvir is currently pursuing a Master’s in Information Technology (Cloud Computing) at Westcliff University, USA, maintaining an impressive CGPA of 3.96 (expected 2025). He earned his Bachelor of Science in Computer Science & Engineering from American International University-Bangladesh (AIUB) with a CGPA of 3.23 (2018-2021). His strong academic performance is complemented by a solid foundation in programming, databases, and cloud infrastructure. His early education includes a Higher Secondary Certificate from Dhaka City College and a Secondary School Certificate from Bogura Cantonment Public School & College, where he excelled with top grades.

Professional Experience 💼

Tanvir has gained diverse industry experience in various technical and consultancy roles. As an IT Officer at SM Fintech Technologies Ltd., he managed website maintenance, configured email servers, reviewed vendor contracts, and coordinated IT purchases to optimize business operations. His passion for academia led him to work as a Teaching Assistant at AIUB, where he supported students in Computer Graphics courses. Additionally, his role as an International Student Consultant at Revolution Student Consultancy allowed him to guide over 50 students in securing admissions to American universities. His expertise spans cloud computing, software development, and IT consultancy, making him a versatile professional.

Awards and Honors 🏆

Tanvir has demonstrated his technical excellence through multiple industry-recognized certifications. He holds the AWS Certified Solutions Architect Associate (Valid till 2030) and AWS Certified Cloud Practitioner (Valid till 2029), showcasing his deep expertise in cloud computing. Additionally, he has earned certifications in Python programming and front-end web development from prestigious platforms. These achievements highlight his continuous learning mindset and dedication to staying ahead in the tech industry.

Research Focus 🔬

Tanvir’s research focuses on leveraging Artificial Intelligence (AI) and Machine Learning (ML) in cloud computing, predictive analytics, and smart systems. His work includes forecasting Electric Vehicle adoption, AI-driven smart grid optimization, and transformative AI applications in healthcare. His passion for exploring AI’s role in solving real-world problems reflects his commitment to advancing technology for societal benefits. He has contributed to multiple peer-reviewed publications, addressing challenges in water quality analysis, synthetic e-commerce data insights, and medical imaging advancements.

Conclusion 🌟

With a strong technical foundation, hands-on cloud computing experience, and a keen research interest in AI-driven solutions, Tanvir Rahman Tarafder stands out as a forward-thinking innovator in the field of cloud technology and AI. His ability to bridge academic knowledge with practical applications makes him a valuable asset in any technology-driven organization. His continuous pursuit of excellence and eagerness to contribute to groundbreaking research and development mark him as a promising professional in the ever-evolving tech landscape.

Top Publications 📚

Forecasting Electric Vehicle Adoption in the USA Using Machine Learning Models
Published in: Journal of Computer Science and Technology Studies (2024)
Cited by: 12 articles

Discoverable Hidden Patterns in Water Quality through AI, LLMs, and Transparent Remote SensingPublished in: 2024 17th International Conference on Security of Information and Networks (2024)
Cited by: 9 articles

Integrating Transformative AI for Next-Level Predictive Analytics in Healthcare
Published in: IEEE Conference on Engineering Informatics (ICEI) (2024)
Cited by: 9 articles

Optimizing Load Forecasting in Smart Grids with AI-Driven Solutions
Published in: IEEE International Conference on Data and Software Engineering (ICoDSE) (2024)
Cited by: 7 articles

A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging
Published in: Diagnostics Journal (2025)
Cited by: (Pending)

Leveraging Machine Learning for Insights and Predictions in Synthetic E-commerce Data in the USA: A Comprehensive Analysis
Published in: (Journal details pending)
Cited by: (Pending)

Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

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Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

University of Tabuk, Saudi Arabia

Dr. Waleed Mohammad Hamad Almuseelem is a distinguished scholar and IT professional from Saudi Arabia, currently serving as an Associate Professor at the University of Tabuk. With a deep-rooted passion for information security, cloud computing, and cybersecurity, he seamlessly blends theoretical knowledge with practical applications. Fluent in Arabic, English, and Chinese, he is committed to advancing digital transformation and cybersecurity solutions. His entrepreneurial mindset and technical expertise contribute to both academia and industry, fostering innovation in IT and computer science. 🌍💻

Publication Profile

🎓 Academic Background

Dr. Almuseelem earned his Ph.D. in Computer Science and Technology with a specialization in Information Security from Wuhan University of Technology, China, in 2017, achieving an “Excellent” evaluation. His dissertation focused on enhancing data security and user privacy in cloud computing. Prior to this, he completed a Master’s in Computer Science and Technology from the same university in 2012, working on secure frameworks for Java smart cards. His academic journey began with a Bachelor’s in Computer Technical Engineering from Riyadh College of Technology in 2007. 📚🎓

💼 Professional Experience

With over 15 years of experience, Dr. Almuseelem has played significant roles in academia and industry. Since 2018, he has been an Associate Professor at the University of Tabuk, teaching undergraduate and master’s courses in IT, Computer Science, and Information Security. He also holds leadership roles, including Chairman of the Supervisory Committee for Foreign Languages and Member of the Quality and Academic Accreditation Committee. Previously, he worked with STC as a systems administrator and served in the Royal Saudi Air Defense Forces as a network administrator and technical support specialist. His expertise spans cloud security, Linux administration, and IT governance. 🏢💡

🏆 Awards and Honors

Dr. Almuseelem has received notable recognitions, including the Best Graduation Dissertation Award in Information Security from Wuhan University of Technology in 2012. His contributions to research and academia are acknowledged in numerous international conferences and workshops, where he shares insights on cybersecurity and open-source technologies. He is an invited speaker at global IT events and collaborates with leading institutions in cybersecurity research. 🏅🌟

🔬 Research Focus

Dr. Almuseelem’s research is centered on cloud security, intrusion detection, zero-trust architectures, and edge computing. He has contributed innovative solutions to data privacy, lightweight authentication, and IoT security. His work integrates AI and cybersecurity to tackle modern challenges in cloud and edge computing environments. Through national and international projects, he aims to develop robust security frameworks for healthcare 4.0, industrial IoT, and enterprise networks. His research is widely cited, influencing global cybersecurity standards. 🔍🛡️

🔗 Top Publications

Intrusion Detection Systems in Cloud Environment – Mastering Intrusion Detection for Cybersecurity, IntechOpen, 2025.

A Novel Fuzzing for RPL Network Vulnerability Analysis and Vision Transformer-based Attack Detection for IIoT – Journal of Harbin Engineering University, 2024.

Continuous and Mutual Lightweight Authentication for Zero-Trust Architecture-Based Security Framework in Cloud-Edge Computing-Based Healthcare 4.0 – Journal of Theoretical and Applied Information Technology, 2023.

Joint Devices Energy and Data Security for Task Offloading in Multi-Tier Edge-Cloud Computing Systems – IEEE Access, 2023.

Data Privacy and Security Model in Cloud Environment – International Conference on Computing and Information Technology (ICCIT), 2023.

User Privacy and Security in Cloud Computing – International Journal of Security and Its Applications, 2016.

Evaluation of Data Security and Privacy Faults in Cloud Computing – EDCAV Conference, 2016.

Data Security and Privacy in Cloud Computing – Advanced Materials Research, 2014.

📢 Conclusion

Dr. Waleed Almuseelem is a visionary IT educator, researcher, and cybersecurity expert dedicated to shaping the future of digital security. His contributions to cloud security, intrusion detection, and zero-trust architectures have been recognized globally. Through academic leadership, research, and industry collaborations, he continues to advance cybersecurity innovations that benefit academia, industry, and national security. 🚀

Prof. Dr. YiSheng Huang | Computer Science | Best Researcher Award

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Prof. Dr. YiSheng Huang | Computer Science | Best Researcher Award

Professor, National Ilan University/EE, Taiwan

Dr. Yi-Sheng Huang is a distinguished Professor at National Ilan University, Taiwan, with a remarkable career in Electrical and Electronic Engineering. Holding a Ph.D. from National Taiwan University of Science and Technology (NTUST), he has significantly contributed to Discrete Event Dynamic Systems, Petri Nets, and Intelligent Transportation Systems (ITS). Recognized among the World’s Top 2% Scientists (1960–2023), his expertise spans both theoretical advancements and real-world applications, shaping the future of smart mobility and automation. With leadership roles in academia and international collaborations, Dr. Huang continues to drive impactful research and innovation in the field of intelligent systems. 🚀

Publication Profile

📚 Academic Background

Dr. Yi-Sheng Huang earned his Ph.D. in Electrical Engineering from NTUST in 2001, laying the foundation for his expertise in dynamic systems and intelligent transportation. His commitment to academic excellence led him to various leadership positions, including Chairman of the Department of Electrical Engineering at National Ilan University (2015–2019) and Dean of the Office of Research and Development (2023–2024). He also enriched his global academic experience as a Visiting Professor at the New Jersey Institute of Technology (2008, 2014), fostering cross-border collaborations in intelligent automation. 🎓

🏢 Professional Experience

With over two decades of academic and research contributions, Dr. Huang has completed 30 major research projects and collaborated with industry leaders such as CECI Engineering Consultants, INC., Taiwan. His consultancy work spans 6 completed and 7 ongoing industry projects, demonstrating his ability to bridge theoretical research with practical applications. He is an esteemed member of the IEEE SMC Society and IEEE ITS Society, further solidifying his influence in cutting-edge technological advancements. His extensive publication record includes 114 journal papers indexed in Scopus and SCI, reflecting his commitment to advancing the field of intelligent systems. ⚡

🏆 Awards and Honors

Dr. Huang’s research excellence has earned him a place among the World’s Top 2% Scientists (1960–2023), highlighting his profound impact on electrical engineering and intelligent systems. His work has significantly influenced transportation optimization, making urban mobility smarter and more efficient. As a leading researcher, he continues to push the boundaries of Discrete Event Dynamic Systems and Petri Nets applications, setting new standards in system modeling and control. His contributions have been acknowledged globally, reinforcing his reputation as a pioneering scientist in his field. 🏅

🔬 Research Focus

Dr. Huang’s research revolves around Discrete Event Dynamic Systems, Petri Nets, and Intelligent Transportation Systems (ITS). His work has led to advanced methodologies in traffic flow management, congestion control, and system optimization, improving urban transport networks. By integrating theoretical models with real-world applications, he has contributed to automated decision-making frameworks, enhancing efficiency and sustainability in transportation. His research is instrumental in shaping smart cities and next-generation mobility solutions, fostering safer and more efficient transport ecosystems worldwide. 🚦

🔍 Conclusion

Dr. Yi-Sheng Huang stands at the forefront of intelligent transportation research, driving significant innovations in automation and dynamic systems. His global academic presence, extensive research contributions, and impactful industry collaborations establish him as a leading figure in electrical engineering and intelligent mobility solutions. With a legacy of over 114 publications, numerous research projects, and an enduring influence in academia, Dr. Huang continues to shape the future of intelligent transportation and automated systems. 🌍🚀

📝 Top Publications

A Petri net-based model for real-time traffic control in urban networks.

Optimization of discrete event systems using hybrid Petri nets.

Modeling and performance analysis of ITS using dynamic Petri nets.

Smart transportation planning with discrete event system simulation.

Enhancing automated transport systems using intelligent Petri nets.

 

Ms. Teresa Peixoto | Data Quality | Best Researcher Award

Published on by Computer Scientists Awards

Ms. Teresa Peixoto | Data Quality | Best Researcher Award

Student Research, CIICESI, School of Management and Technology, Porto Polytechnic, Portugal

Teresa Peixoto is a passionate Software Engineer and researcher specializing in data quality assessment and industrial applications. She holds a Bachelor’s degree in Computer Engineering and is currently pursuing a Master’s degree at the School of Technology and Management, Porto Polytechnic. With expertise in backend and full-stack development, she has contributed to various projects in Industry 4.0, web applications, and blockchain technologies. Her research at CIICESI focuses on improving data quality processes for large-scale and real-time data environments.

Publication Profile

ORCID

🎓 Academic Background

Teresa Peixoto earned her Bachelor’s degree in Computer Engineering from the School of Technology and Management, Porto Polytechnic, in 2023. Continuing her academic journey, she is currently enrolled in a Master’s degree program in the same field at the same institution. Her studies emphasize software development, data management, and modern computing paradigms, equipping her with both theoretical and practical knowledge.

💼 Professional Experience

Teresa has been working as a Student Researcher at CIICESI since February 2024, contributing to the PRODUTECH R3 project, where she focuses on data quality processes in industrial and IoT contexts. Previously, she completed a full-stack development internship at BIMMS, where she enhanced the Digi4Construction platform by developing automated project status reports and integrating new functionalities for better project management. Her expertise spans technologies such as Python, Java, Spring Boot, Vue.js, and SQL, making her a versatile and skilled developer.

🏆 Awards and Honors

Teresa Peixoto has demonstrated excellence not only in academics but also in extracurricular activities. She was the President of AvenTUNA, the ESTG Academic female musical group, during the 2022/2023 academic year. Her leadership and commitment to both technical and cultural activities reflect her dedication to holistic development.

🔬 Research Focus

Teresa’s research revolves around data quality assessment in industrial applications, particularly within Industry 4.0 and IoT environments. Her work involves data profiling techniques, developing data quality metrics, and ensuring high standards of data integrity in large-scale and real-time processing systems. She is actively involved in projects that enhance data reliability, which is critical for smart manufacturing and automated decision-making.

🔖 Conclusion

Teresa Peixoto is an ambitious software engineer and researcher committed to improving data quality in industrial applications. Her expertise in software development, data management, and Industry 4.0 technologies makes her a valuable contributor to the field. With a strong academic foundation and hands-on research experience, she continues to explore innovative solutions for data-driven industries.

📚 Publication Top Notes

Data Quality Assessment in Smart Manufacturing: A Review (2025)

Extensible Data Ingestion System for Industry 4.0 (2025)