Sooyoun Lee l Data Analysis Software | Women Researcher Award

Published on by Research Data Analysis

Dr. Sooyoun Lee l Data Analysis Software | Women Researcher Award

National Institute of Health | South Korea

Dr. Sooyoun Lee is a Research Assistant Professor at Ajou University’s Bio-AI Center, specializing in bioinformatics, biomedical science, and computational biology. She holds a PhD in Bioinformatics from Seoul National University and an M.S. in Biomedical Science from Ajou University. Her research focuses on multi-omics data analysis, cancer genomics, precision medicine, and AI-driven drug repositioning. Dr. Lee has extensive experience in bioinformatics tool development, transcriptome analysis, and proteogenomics, with numerous high-impact publications and patents. Her work bridges computational methods and medical applications, advancing personalized healthcare solutions and integrative approaches in biomedical research.

View Scopus Profile

Featured Publications

Maria Adam | Spectrum localization | Research Excellence Award

Published on by Research Data Analysis

Dr. Maria Adam | Spectrum localization | Research Excellence Award

 University of Thessaly | Greece

Dr. Maria Adam is a Professor in the Department of Computer Science and Biomedical Informatics at the University of Thessaly, Greece, with extensive expertise in spectral analysis, numerical ranges, numerical linear algebra, and matrix theory with applications to systems theory, algorithms, graphs, statistics, and biostatistics. She earned her PhD in Mathematics from the National Technical University of Athens, following a BSc in Mathematics from the University of Athens. Dr. Maria Adam has a distinguished academic career spanning professorial roles, international teaching appointments, and participation in major national and industrial research projects. She is an active journal reviewer, editorial board member, and conference organizer, contributing significantly to mathematical sciences research and education.

Citation Metrics (Scopus)

400
300
200
100
0

Citations
171

Documents
48

h-index
7

Citations

Documents

h-index


View Scopus Profile

Featured Publications


Curves and Spectrum Localization of Real Matrices

– Linear Algebra and Its Applications, Vol. 733, 2026

Selection of the Fastest Solution of the Complex Riccati Equation

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

I/O SNR and Noise Covariances Norm Ratio Relation in Kalman Filter

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

Published on by Research Data Analysis

Prof. Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

SUNY Upstate Medical University | United States

Prof. Bardia Rodd is an Associate Professor at SUNY Upstate Medical University and Associate Director of AI Innovation at the AI for Health Equity, Analytics, and Diagnostics (AHEAD) Center. He completed dual PhDs in Electrical & Computer Engineering from Université Laval and in Computer Science from the University of Malaya, alongside a postdoctoral fellowship at the University of Pennsylvania Perelman School of Medicine, focusing on precision medicine, artificial intelligence, and image-guided systems. His academic career spans faculty positions at SUNY Upstate, the University of Maryland, and Laval University, with extensive experience in biocomputational engineering, machine learning, medical image analysis, and data-driven healthcare solutions. He has led numerous grants, including initiatives in AI in education, biomedical research, and curriculum development. Prof. Rodd has supervised multiple graduate and postgraduate students and contributed to open educational resources, advancing accessible teaching in machine learning and bioengineering. He is an active member of professional societies including IEEE, SPIE, and the Association of Pathology Informatics, serving on multiple technical committees and leadership roles. His research interests include AI-driven biomedical imaging, predictive modeling, and health equity applications. Prof. Rodd has authored a textbook on machine learning for data analysis and continues to integrate research, teaching, and innovation to advance computational medicine and AI education.

Profile : Scopus

Featured Publications

Siezen, H., Awasthi, N., Rad, M. S., Ma, L., & Rodd, B. (2025). “Low-rank distribution embedding of dynamic thermographic data for breast cancer detection.” Journal of Thermal Biology, 104303.

Usamentiaga, R., Fidanza, A., Yousefi, B., Iacutone, G., Logroscino, G., & Sfarra, S. (2025). “Advancing knee injury prevention and anomaly detection in rugby players through automated processing of infrared thermography: A novel biothermodynamics approach.” Thermal Science and Engineering Progress, 103782.

Rad, M. S., Huang, J. V., Hosseini, M. M., Choudhary, R., Siezen, H., Akabari, R., et al. (2025). “Deep learning for digital pathology: A critical overview of methodological framework.” Journal of Pathology Informatics, 100514.

Yousefi, B., Khansari, M., Trask, R., Tallon, P., Carino, C., Afrasiyabi, A., Kundra, V., Ma, L., Ren, L., Farahani, K., & Hershman, M. (2025). “Measuring subtle HD data representation and multimodal imaging phenotype embedding for precision medicine.” IEEE Transactions on Instrumentation and Measurement, TIM-24-01821.

Cao, Y., Sutera, P., Mendes, W. S., Yousefi, B., Hrinivich, T., Deek, M., et al. (2024). “Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics.” Radiotherapy and Oncology, 199, 110443.

Lining Huang | Bioinformatics | Research Excellence Award

Published on by Research Data Analysis

Mr. Lining Huang | Bioinformatics | Research Excellence Award

The Second Hospital of Hebei Medical University | China

Dr. Huang is a distinguished researcher and attending physician specializing in perioperative neuroscience, with a Ph.D. in anesthesiology from Hebei Medical University. His career has centered on elucidating the molecular pathways through which blood–brain barrier dysfunction contributes to neurocognitive decline in aging surgical populations. Integrating molecular biology, neuroimaging, immunology, and microbiome science, he has established a multidisciplinary research program that advances understanding of the vascular–immune mechanisms driving perioperative neurocognitive disorders. From anesthesia-induced neurotoxicity in early studies to complex “vascular-immune–microbiome” interactions in recent work, his contributions span preclinical models, translational investigations, and clinical cohort studies. He has served as principal investigator on more than ten major funded projects, including multiple National Natural Science Foundation of China grants, and has earned notable distinctions such as the Hebei Province Science and Technology Progress Award and several first-prize Hebei Medical Science Awards. His commitment to academic scholarship includes translating Miller’s Anesthesia, editing national textbooks, and co-authoring expert consensus guidelines that shape anesthesiology education and practice nationwide. With a portfolio of influential publications and six national patents in airway-management innovations, Dr. Huang continues to advance therapeutic development and scientific knowledge in surgical brain protection and perioperative cognitive health.

Profile : Scopus

Featured Publications

SPP1-mediated crosstalk between macrophages and fibroblasts promotes benign airway stenosis. (2025). Archives of Biochemistry and Biophysics.

Association between preoperative blood–brain barrier permeability and postoperative delirium in older patients undergoing cardiac surgery: a pilot study. (2025). Aging Clinical and Experimental Research.

Central neuropeptides as key modulators of astrocyte function in neurodegenerative and neuropsychiatric disorders. (2025).

Neonatal sevoflurane exposure disrupted fatty acids metabolism, leading to hypomyelination and neurological impairments. (2025). Biomedicine and Pharmacotherapy.

Samaneh Saeedinia | Engineering | Best Researcher Award

Published on by Research Data Analysis

Prof.Dr. Samaneh Saeedinia | Engineering | Best Researcher Award

Iran University of Science and Technology | Iran

Dr. Samaneh Alsadat Saeedinia is an accomplished researcher and engineer specializing in Control Electrical Engineering, Computational Neuroscience, Robotics, and Artificial Intelligence. She earned her Ph.D. from Iran University of Science and Technology (IUST), where her thesis focused on designing and stabilizing intelligent decision-making systems to support the treatment of adult focal epilepsy, receiving an excellent grade. She also holds a Master’s degree in Control Electrical Engineering from IUST and a Bachelor’s degree from Imam Khomeini International University. Dr. Saeedinia has extensive experience in signal processing, machine learning, spiking neural networks, EEG and MRI data analysis, and adaptive control systems. She has contributed to numerous high-impact publications in IEEE Transactions, Scientific Reports, and other international journals. Her research interests include computational modeling, intelligent control, data fusion, robotics path planning, and neuroinformatics. Beyond academia, she has led industrial projects in electrical power systems, automation, and instrumentation. She has received multiple awards, including the Khwarizmi International Award and top ranks in academic performance. Dr. Saeedinia is also an experienced educator and mentor, guiding students in advanced control systems, neural networks, and data analysis. Her work bridges engineering, neuroscience, and artificial intelligence, aiming to develop innovative solutions for healthcare and robotic applications.

Profile : Google Scholar

Featured Publications

Saeedinia, S.A., Jahed-Motlagh, M.R., Tafakhori, A., & Kasabov, N.K. (2024). “Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir-SNN, and NeuCube methods in a pilot study comparing epilepsy and migraine” in Scientific Reports, 14(1), 10667.

Mohaghegh, M., Saeedinia, S.A., & Roozbehi, Z. (2023). “Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles” in Frontiers in Robotics and AI, 10, 1226028.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2024). “Dynamic-structured reservoir spiking neural network in sound localization” in IEEE Access, 12, 24596–24608.

Saeedinia, S.A., & Tale Masouleh, M. (2022). “The synergy of the multi-modal MPC and Q-learning approach for the navigation of a three-wheeled omnidirectional robot based on the dynamic model with obstacle collision” in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2025). “Enhanced Multiple Sound Event Detection and Classification Using Physical Signal Properties in Recurrent Spiking Neural Networks” in IEEE Access.

Hongyan Jin | Bioinformatics | Young Researcher Award

Published on by Research Data Analysis

Ms. Hongyan Jin | Bioinformatics | Young Researcher Award

Tarim University | China

Ms. Hongyan Jin dedicated and accomplished biologist with a strong foundation in plant molecular biology, bioinformatics, and physiological research. Holds a Master’s degree in Biology from Tarim University, with a cumulative GPA of 87.64, earning recognition as an Outstanding Graduate and recipient of multiple university-level scholarships. Academic training includes advanced courses in plant physiology, molecular and cell biology, biochemistry, bioinformatics, and biostatistics. Experienced in genome-wide identification and analysis of gene families, particularly the SnRK2 gene family in Populus euphratica, and proficient in total RNA extraction and qRT-PCR techniques. Research focuses on plant responses to abiotic stresses, integrating computational and experimental approaches to explore stress-responsive gene functions. Published research in the International Journal of Molecular Sciences, highlighting expertise in genome-wide bioinformatics analysis and molecular plant biology. Fluent in English (CET-6) and holds a Mandarin proficiency certificate, demonstrating strong communication skills. Recognized for academic excellence, diligence, and integrity, with a proactive and detail-oriented approach to research and professional responsibilities. Committed to continuous learning and tackling scientific challenges with rigor and persistence. Possesses a clear understanding of professional knowledge, strong integrative abilities, and a collaborative mindset, making significant contributions to plant biology and stress response research.

Profile : Scopus

Featured Publications

(2025). The identification and characterization of the PeGRF gene family in Populus euphratica Oliv. heteromorphic leaves provide a theoretical basis for the functional study of PeGRF9. International Journal of Molecular Sciences.

(2025). Genome-Wide Identification of the SnRK2 Gene Family and Its Response to Abiotic Stress in Populus euphratica

(2024).Comparative Genomics Analysis of the Populus Epidermal Pattern Factor (EPF) Family Revealed Their Regulatory Effects in Populus euphratica Stomatal Development

Wan Siti Nur Atirah Wan Mohd Azemin | Optimization Techniques | Best Researcher Award

Published on by Research Data Analysis

Dr. Wan Siti Nur Atirah Wan Mohd Azemin | Optimization Techniques | Best Researcher Award

Universiti Sains | Malaysia

Dr. Wan Siti Nur Atirah Wan Mohd Azemin is a Senior Lecturer with a PhD in Animal Cell Biotechnology from Universiti Sultan Zainal Abidin (UniSZA), an MSc in Bioscience, and a BSc in Industrial Biology from Universiti Teknologi Malaysia (UTM). Her research expertise spans cancer biology, green nanotechnology, and bioinformatics, with a focus on therapeutic peptides, antimicrobial mechanisms, and computational protein analyses. Dr. Azemin’s current work emphasizes the green synthesis of silver nanoparticles using Pandanus amaryllifolius extracts for antimicrobial textile applications, with dual potential against pathogenic microbes and breast cancer cells. Her previous studies on HepTH1-5 peptides, marine-derived antimicrobial compounds, and computational biology have established a strong foundation in cytotoxicity, antimicrobial activity, and protein interaction networks. She has published extensively in high-impact journals and presented at international conferences. Recognized for her contributions, she has received multiple awards, including gold and silver medals in international innovation competitions, and holds a copyright for her innovative nanoparticle-based antimicrobial PPE research. Beyond research, she actively engages in educational and alumni initiatives, promoting science and innovation. Dr. Azemin’s work reflects a commitment to sustainable, translational solutions in biomedical and nanotechnology applications, bridging fundamental research with practical healthcare and environmental impact.

Profiles : Scopus | Orcid

Featured Publications

Hassan, H.; Norizham, I. M.; Mohd, M. H.; Mohamad Zin, N.; Bustami, Y.; Azemin, W.‑A.; Dual‑Spectrum Antimicrobial Nylon for Healthcare: Pandanus amaryllifolius Silver Nanoparticles Combat ESKAPK Pathogens and Fungal Infections. Fibers and Polymers. 2025‑10‑24.

Azemin, W.‑A.; Ab Rashid, S.; Philip, N.; Ali, A. M.; Shamsir, M. S.; Fish‑derived hepcidins in cancer treatment: a scoping review. Beni‑Suef University Journal of Basic and Applied Sciences. 2025‑01‑28.

Mendu, C.; Ab Rashid, S.; Azemin, W.‑A.; Philip, N.; Current antibiotics for leptospirosis: Are still effective? Heliyon. 2025‑01‑15. (Conceptualization)

Salikin, N. H.; Keong, L. C.; Azemin, W.‑A.; Philip, N.; Yusuf, N.; Daud, S. A.; Ab Rashid, S.; Combating multidrug‑resistant (MDR) Staphylococcus aureus infection using terpene and its derivative. World Journal of Microbiology and Biotechnology. 2024.

Razali, S. A.; Ishak, N. F.; Azemin, W.‑A.; Low, C.‑F.; Shamsir, M. S.; Riding the wave of innovation: immunoinformatics in fish disease control. PeerJ. 2023.

Julius Mulindwa | Genomic Data Analytics | Best Researcher Award

Published on by Research Data Analysis

Dr. Julius Mulindwa | Genomic Data Analytics | Best Researcher Award

Makerere University | Uganda

Dr. Julius Mulindwa is a distinguished molecular biologist and senior lecturer at Makerere University, Uganda, with extensive expertise in biochemistry, molecular biology, and bioinformatics. His career spans research, teaching, and mentoring, contributing significantly to advancements in vaccine research, neglected tropical diseases, and microbiome studies. With a strong background in human and animal genetics, he has pioneered initiatives in molecular diagnostics, vaccine development, and genetic determinants of infectious diseases. Dr. Mulindwa has been instrumental in capacity building for bioinformatics and molecular biology in Africa, guiding multiple postgraduate research projects and leading innovative programs to combat infectious diseases and improve public health outcomes.

Professional Profile

ORCID

Education

Dr. Mulindwa holds a Ph.D. in Molecular Biology and a Master’s degree in Cell Biology from Heidelberg University, Germany, and an MSc in Molecular Biology and a BSc in Biochemistry and Chemistry from Makerere University, Uganda. His academic journey laid a solid foundation for his expertise in functional genomics, transcriptomics, and recombinant protein expression, equipping him with a multidisciplinary skill set to bridge molecular research and applied biomedical sciences.

Experience

With over a decade of professional experience, Dr. Mulindwa has served as a Senior Lecturer, Lecturer, and Assistant Lecturer at Makerere University, where he teaches biochemistry, molecular biology, bioinformatics, and parasitology across multiple colleges, including Natural Sciences, Veterinary Medicine, and Health Sciences. He has designed and supervised laboratory experiments, developed curricula, and mentored numerous undergraduate, MSc, and Ph.D. students. As a researcher, he has led and contributed to several national and international projects focusing on infectious diseases, genetic determinants of trypanosomiasis, vaccine development for COVID-19, and microbiome research in endemic regions. His work also extends to training and facilitating bioinformatics programs across East Africa.

Research Interests

Dr. Mulindwa’s research focuses on molecular and cellular mechanisms underlying neglected tropical diseases, host-pathogen interactions, and genetic resistance to infectious diseases. He has conducted extensive studies on trypanosomiasis, schistosomiasis, and other parasitic infections, employing techniques such as genome-wide association studies, transcriptomics, and microbiome analysis. Additionally, his research explores the role of gut microbiome in nutritional and disease status, the development of subunit vaccines, and the use of recombinant protein expression in both prokaryotic and eukaryotic systems. His expertise bridges laboratory research and translational science, contributing to improved diagnostics, therapeutic targets, and preventive strategies.

Awards and Recognitions

Throughout his career, Dr. Mulindwa has received numerous prestigious awards and fellowships recognizing his contributions to science and research. These include the Microbiome Travel Award from the Sanger Institute (Bill & Melinda Gates Foundation), Developing Country Award by the American Society of Human Genetics (ASHG), multiple post-doctoral fellowships under TrypanoGEN and TrypanoGEN+ (Wellcome Trust-H3Africa), ASTMH annual meeting travel award, and competitive fellowships from the German Research Foundation (DFG) and HBIGS, Germany. These honors reflect his sustained impact in advancing molecular parasitology, bioinformatics, and public health research.

Publications

Nambala, P., Satoskar, A.R., Noyes, H., Namulondo, J., Nyangiri, O., Alibu, V.P., Nerima, B., MacLeod, A., Matovu, E., Musaya, J., et al. (2024). Transcriptome profiles of Trypanosoma brucei rhodesiense in Malawi reveal focus specific gene expression profiles associated with pathology. PLOS Neglected Tropical Diseases.

Nambala, P., Noyes, H., Namulondo, J., Nyangiri, O., Matovu, E., Alibu, V.P., Nerima, B., MacLeod, A., Musaya, J., Mulindwa, J., et al. (2023). Transcriptome profiles of T.b. rhodesiense in Malawi reveal focus specific gene expression profiles associated with pathology. Preprint.

Mulindwa, J., Webster, J.P., Namulondo, J., Kitibwa, A., Nassuuna, J., Nyangiri, O.A., Kimuda, M.P., Boobo, A., Nerima, B., Busingye, F., et al. (2022). High prevalence of Schistosoma mansoni infection and stunting among school age children in communities along the Albert-Nile, Northern Uganda: A cross-sectional study. PLOS Neglected Tropical Diseases.

Nyangiri, O.A., Edwige, S.A., Koffi, M., Mewamba, E., Simo, G., Namulondo, J., Mulindwa, J., Nassuuna, J., Elliott, A., Karume, K., et al. (2021). Candidate gene family-based and case-control studies of susceptibility to high Schistosoma mansoni worm burden in African children: a protocol [version 2; peer review: 2 approved]. AAS Open Research.

Namulondo, J., Mulindwa, J., Nyangiri, O.A., Egesa, M., Noyes, H., Matovu, E., TrypanoGEN+ research group of the H3Africa consortium. (2021). Gene expression changes in mammalian hosts during schistosomiasis: a review [version 1; peer review: awaiting peer review]. AAS Open Research.

Conclusion

Dr. Julius Mulindwa is a leading scientist dedicated to bridging molecular research and applied biomedical solutions for neglected tropical diseases and emerging health challenges. His academic leadership, innovative research, and mentorship have strengthened molecular biology and bioinformatics capacity in Uganda and across Africa. By integrating advanced genomics, bioinformatics, and functional studies, his work continues to contribute to global scientific advancements in infectious disease control, vaccine development, and genetic epidemiology.

Alisa Becin | Data Science | Best Researcher Award

Published on by Research Data Analysis

Mrs. Alisa Becin | Data Science | Best Researcher Award

Faculty of Sciences, University of Novi Sad | Serbia

Mrs. Alisa P. Bećin is a committed Research Assistant at the University of Novi Sad, Faculty of Sciences in Serbia. With an academic foundation in molecular biology and a specialized focus on molecular physiology, she is actively engaged in advanced biomedical research, particularly in the area of male reproductive endocrinology. Her work bridges the domains of chronobiology, mitochondrial dynamics, and circadian rhythm regulation, contributing to the understanding of male fertility and reproductive health at the molecular and cellular levels. Alisa’s dedication to experimental rigor and interdisciplinary integration has made her a rising researcher in the European scientific community. She is affiliated with multiple scientific laboratories including the Laboratory for Reproductive Endocrinology and Signaling (LaRES) and the Laboratory for Chronobiology and Aging (ChronAge), where she contributes to both academic research and student mentoring.

Professional Profile

SCOPUS

ORCID

Education

Alisa holds a Bachelor’s and Master’s degree in Biology, specializing in Molecular Biology from the Faculty of Sciences, University of Novi Sad. Her consistent academic progression laid the groundwork for her ongoing doctoral studies, where she is investigating the circadian regulation of mitochondrial function in Leydig cells and spermatozoa. Her PhD research is embedded within a broader molecular physiology program, focused on decoding the influence of biological clocks on cellular energetics and reproductive functions.

Experience

Since 2019, Alisa has been a vital part of the scientific research team at the Faculty of Sciences, initially as a Junior Researcher and subsequently as a Research Assistant. In her role, she actively participates in laboratory-based investigations, coordinates experimental protocols, and supervises student activities. Her teaching involvement spans several critical subjects in physiology and endocrinology, including Chronobiology, Neuroendocrinology, Animal Physiology, and Endocrinology. Alisa’s dual role in research and academia reflects her commitment to both advancing scientific knowledge and nurturing future scholars. Through collaborations with senior researchers and project leaders, she contributes to experimental design, data analysis, and scholarly publications in high-impact journals.

Research Interest

Alisa’s research interests are deeply rooted in the exploration of circadian biology, particularly how internal biological clocks govern male reproductive physiology. Her work investigates molecular clocks within the testes, mitochondrial dynamics in Leydig cells, and their role in steroidogenesis and spermatogenesis. She is especially focused on the interplay between the central clock (suprachiasmatic nucleus) and peripheral clocks, exploring how lifestyle-induced desynchronization affects fertility outcomes. By examining hormonal signaling pathways and mitochondrial bioenergetics, her studies seek to inform chronotherapeutic interventions and address the rising concern of idiopathic infertility in young adult populations. Her scientific approach integrates endocrinology, cell signaling, and chronobiology, establishing her as a multidisciplinary researcher with translational potential.

Research and Publications

Alisa has contributed significantly to peer-reviewed scientific literature, with several publications in indexed journals such as Journal of Comparative Physiology B, BioFactors, European Journal of Cell Biology, Life, and Frontiers in Endocrinology. Her recent works include groundbreaking insights into how constant light and circadian desynchrony disrupt the endocrine and mitochondrial functions of Leydig cells and spermatozoa. These studies advance the understanding of environmental impacts on reproductive health and are influential in the fields of reproductive biology and endocrinology. Her citation index reflects a growing recognition of her work, with 31 citations and an h-index of 3, as recorded in Scopus.

Research Projects

Alisa has been actively involved in both national and provincial research projects. Notably, she is part of an ongoing project funded by the Provincial Secretariat for Higher Education and Scientific Research, which investigates how lifestyle factors influence male fertility. She also contributed to a long-term project supported by the Serbian Ministry of Science, focusing on molecular mechanisms and signal transduction pathways in Leydig cells under homeostatic stress. Her role in these projects includes experimental planning, molecular assays, and interdisciplinary collaboration with endocrinologists and molecular biologists.

Awards and Memberships

Her professional excellence is further recognized through her membership in respected scientific bodies such as the Biochemical Society of Serbia, the Serbian Society for Molecular Biology (MolBioS), and the Society for Research on Biological Rhythms (SRBR). These affiliations underscore her active engagement with the international scientific community and her contribution to ongoing dialogues in reproductive and chronobiological research. She has completed professional certifications, including one in R Programming for Data Analytics in Bioinformatics, reflecting her capability in data-driven biological research and bioinformatics.

Publications

Adaptation under constant light or dark: a challenge to the pineal

Authors: Alisa P. Bećin, Milica Trkulja, Aleksandra Bradasevic, Ivana Jokanovic, Dijana Z. Travicic, Marija L. J. Medar, Silvana A. Andric, Tatjana S. Kostic
Journal: Journal of Comparative Physiology B
Year: 2025

REVERBA couples the circadian clock to Leydig cell steroidogenesis

Authors: Aleksandar Z. Baburski, Alisa P. Bećin, Dijana Z. Travicic, Marija L. J. Medar, Silvana A. Andric, Tatjana S. Kostic
Journal: BioFactors
Year: 2024

Circadian desynchrony disturbs the function of rat spermatozoa

Authors: Dijana Z. Travicic, Maja V. Pavlovic, Marija L. J. Medar, Alisa Bećin, Mia Cetnik, Dusan Lalosevic, Silvana A. Andric, Tatjana S. Kostic
Journal: European Journal of Cell Biology
Year: 2023

Dependence of Leydig cell’s mitochondrial physiology on luteinizing hormone signaling

Authors: Marija L. J. Medar, Danilo Z. Marinkovic, Zorana Kojic, Alisa P. Bećin, Ivana M. Starovlah, Tatjana Kravic-Stevovic, Silvana A. Andric, Tatjana S. Kostic
Journal: Life
Year: 2021

Growing up under constant light: a challenge to the endocrine function of the Leydig cells

Authors: Danilo Z. Marinkovic, Marija L. J. Medar, Alisa P. Bećin, Silvana A. Andric, Tatjana S. Kostic
Journal: Frontiers in Endocrinology
Year: 2021

Khaled Elsayed – Innovation in Data Analysis – Best Researcher Award 

Published on by Research Data Analysis

Mr. Khaled Elsayed - Innovation in Data Analysis - Best Researcher Award 

Universiti Kebangsaan Malaysia - Malaysia

Author Profile

Early Academic Pursuits

Mr. Khaled Elsayed's journey in civil engineering began with a strong academic foundation. Graduating with a Bachelor of Engineering (BEng) in Civil Engineering from Sohar University, his academic pursuits laid the groundwork for his future professional endeavors. During his undergraduate years, Elsayed demonstrated a keen interest in structural analysis, laying the groundwork for his later specialization in this field. His academic achievements during this period reflect his dedication to mastering the fundamentals of civil engineering, providing him with a solid framework for his future research and professional contributions.

Professional Endeavors

Following his undergraduate studies, Elsayed embarked on a path of professional development, gaining practical experience in the field of civil engineering. His tenure as an Associate Design Engineer at Al-Fajer Engineering Consultants in Al-Suwayq, Oman, provided him with invaluable experience in designing and analyzing structural components for various civil engineering projects. During this time, he honed his skills in project management and client collaboration, achieving a remarkable 95% client satisfaction rate through meticulous attention to detail and adherence to project requirements.

Subsequently, Elsayed transitioned to a role as a Construction Engineer at Axes International Trade & Contract in Al-Suwayq, Oman, where he further refined his project management expertise. Managing multiple construction projects with unwavering commitment to quality and efficiency, he successfully led cross-functional teams and implemented innovative methodologies that resulted in significant cost reductions and productivity improvements.

Contributions and Research Focus

Mr. Elsayed's passion for advancing construction methods and optimizing performance led him to pursue higher education, culminating in a Master of Engineering (MEng) and a Doctor of Philosophy (PhD) in Civil Engineering from The National University of Malaysia. During his graduate studies, he focused his research on the development of Prefabricated Prefinished Volumetric Construction (PPVC) modular steel constructions. His contributions in this area include the development of innovative inter-module connections, which not only improved construction efficiency by 30% but also resulted in a substantial reduction in costs. Furthermore, his research endeavors have been recognized through the publication of four high-impact papers in reputable journals, underscoring his commitment to advancing knowledge in his field.

Accolades and Recognition

Throughout his career, Elsayed's contributions have been met with recognition and accolades. His adept project management skills and dedication to excellence have earned him a reputation for delivering projects with 100% adherence to specifications and quality standards, garnering a commendable 95% client satisfaction rate. Moreover, his innovative solutions and research findings have been acknowledged through various awards and honors, highlighting his significant contributions to the field of civil engineering.

Impact and Influence

Mr. Elsayed's impact extends beyond individual projects and research endeavors, influencing the broader landscape of civil engineering through his commitment to excellence and innovation. By implementing efficient construction methodologies and pioneering advancements in PPVC modular steel constructions, he has set a precedent for sustainable and cost-effective construction practices. His research findings have not only contributed to academic discourse but also have practical implications for the construction industry, driving advancements in structural analysis and construction technology.

Legacy and Future Contributions

As Khaled Elsayed continues to make strides in the field of civil engineering, his legacy is characterized by a commitment to excellence, innovation, and continuous learning. With a solid foundation in both academia and industry, he is poised to further his contributions through ongoing research, collaborative endeavors, and mentorship of future generations of civil engineers. By leveraging his expertise in structural analysis, modular construction, and machine learning, he seeks to address pressing challenges in the field and drive engineering advancements that will shape the future of construction.

Notable Publication