Davide Guido – Biostatistics/Bioinformatics – Best Researcher Award

Davide Guido - Biostatistics/Bioinformatics - Best Researcher Award

National Institute of Gastroenterology - Italy

AUTHOR PROFILE

SCOPUS

DR. DAVIDE GUIDO 🎓

Dr. Davide Guido is an esteemed researcher and expert in the field of Experimental Studies, focusing on various study designs such as randomized clinical trials, cross-over trials, and adaptive designs. His contributions to the scientific community include determining relative sample sizes for different research methodologies, enabling more effective and reliable outcomes in clinical research. His work is vital for understanding complex interventions and ensuring that studies yield meaningful results.

OBSERVATIONAL STUDIES 📊

In the realm of Observational Studies, Dr. Guido conducts comprehensive analyses of cross-sectional, case-control, and cohort designs. His expertise extends to propensity score matching and sample size determination, which are critical for reducing bias and improving the validity of observational research findings. His dedication to these methodologies enhances our understanding of health trends and outcomes in various populations.

REGRESSION ANALYSIS 📈

Dr. Guido's work in Regression Analysis encompasses a wide array of techniques, including generalized linear models and time series regression. He employs sophisticated methods such as quantile regression and spline regression to uncover relationships in complex datasets. His findings contribute significantly to the fields of epidemiology and public health, providing insights that inform policy and practice.

PREDICTIVE ANALYSIS 🔍

Through his expertise in Predictive Analysis, Dr. Guido utilizes supervised and unsupervised methods, including random forests and penalized regression modeling. His work in classification and clustering enables researchers to make informed predictions based on data patterns. By integrating these techniques, he enhances the ability to forecast outcomes in health-related research and beyond.

BAYESIAN ANALYSIS 🔮

Dr. Guido applies Bayesian Analysis to tackle challenges in statistical modeling, particularly in spatial-temporal contexts. His innovative approaches facilitate understanding complex phenomena, allowing for more accurate predictions and inferences. This area of research plays a pivotal role in enhancing the robustness of scientific conclusions drawn from data.

SPATIAL STATISTICS 🗺️

In Spatial Statistics, Dr. Guido explores geostatistical modeling and geographically weighted regression. His investigations into lattice data modeling contribute to the understanding of spatial patterns and relationships within data. This research is essential for addressing public health concerns and environmental challenges that exhibit spatial characteristics.

COLLABORATIVE RESEARCH 🤝

Dr. Guido has actively collaborated on several influential studies, including investigations into the effects of dietary interventions in children with refractory epilepsy and the impact of COVID-19 on oncological care. His contributions to these studies reflect his commitment to advancing medical knowledge and improving patient outcomes. By working with multidisciplinary teams, he helps bridge gaps in research and practice, promoting innovative solutions in healthcare.

NOTABLE PUBLICATION

Title: Glycemic Index and Amylose Content of 25 Japonica Rice Italian Cultivar
Authors: M. Rondanelli, F. Haxhari, C. Gasparri, S. Feccia, S. Perna
Year: 2023
Journal: Starch/Staerke, 75(9-10), 2300031
Cited by: 1

Title: The Glycemic Index of Indica and Japonica Subspecies Parboiled Rice Grown in Italy and the Effect on Glycemic Index of Different Parboiling Processes
Authors: M. Rondanelli, R.A. Ferrario, G.C. Barrile, A. Tartara, S. Perna
Year: 2023
Journal: Journal of Medicinal Food, 26(6), pp. 422–427
Cited by: 0

Title: Discovering the Physio-Pathological Mechanisms of Interaction between Bone Mineral Density, Muscle Mass, and Visceral Adipose Tissue in Female Older Adults through Structural Equation Modeling
Authors: S. Perna, C. Gasparri, S. Allehdan, T.A. Alalwan, M. Rondanelli
Year: 2023
Journal: Journal of Clinical Medicine, 12(6), 2269
Cited by: 3

Title: Endosperm structure and Glycemic Index of Japonica Italian rice varieties
Authors: F. Haxhari, F. Savorani, M. Rondanelli, S. Perna, R. Magnaghi
Year: 2023
Journal: Frontiers in Plant Science, 14, 1303771
Cited by: 0

Title: Time-Trends in Air Pollution Impact on Health in Italy, 1990–2019: An Analysis From the Global Burden of Disease Study 2019
Authors: S. Conti, C. Fornari, P. Ferrara, L. Monasta, L.G. Mantovani
Year: 2023
Journal: International Journal of Public Health, 68, 1605959
Cited by: 5

Rihab Mâaloul Abid – Computer science – Best Researcher Award

Rihab Mâaloul Abid - Computer science - Best Researcher Award

isima - Tunisia

AUTHOR PROFILE

SCOPUS

🔬 CURRENT POSITION

Rihab Mâaloul Abid is a prominent member of the LT2S (Laboratoire des Technologies des Systèmes Smart) at the Centre de Recherche en Numérique de Sfax, Technopôle. She also serves as a Maître Assistant at the Institut Supérieur d'Informatique et de Multimédia de Mahdia (ISIMa), where she contributes to both teaching and research in the field of computer science and multimedia.

🎓 ACADEMIC BACKGROUND

Dr. Mâaloul Abid earned her Doctorate in Engineering of Computer Systems in April 2018 from ENIS, Université de Sfax, Tunisia. Her doctoral research focused on energy-aware routing in carrier-grade Ethernet networks, under the supervision of Prof. Lamia Chaari Fourati at LT2S. She also holds a Master’s degree in Computer Science and Multimedia from the Institut Supérieur d'Informatique et de Multimédia de Sfax, where she conducted in-depth analysis of scheduling mechanisms for WiMAX networks, receiving a "Très bien" distinction.

💻 RESEARCH INTERESTS

Dr. Mâaloul Abid's research is primarily focused on innovative networking technologies and energy efficiency in communication systems. Her work on energy-aware routing and scheduling mechanisms for networks, including WiMAX, reflects her dedication to advancing the efficiency and sustainability of digital infrastructures. Her academic journey began with a Bachelor’s degree in Computer Science and Multimedia, where her project on automatic brain tissue segmentation for tumor detection laid the groundwork for her future research endeavors.

📚 TEACHING AND PEDAGOGICAL ACTIVITIES

As an educator, Dr. Mâaloul Abid has been actively involved in teaching a variety of courses at ISIMS. During the 2021-2022 academic year, she taught courses on network services, operational research, and programming workshops to students pursuing degrees in computer science. Her commitment to education extends beyond traditional lectures, as she is deeply involved in developing practical skills in her students, ensuring they are well-prepared for careers in technology and multimedia.

🌍 CONTRIBUTION TO NETWORK SERVICES

Throughout her career, Dr. Mâaloul Abid has made significant contributions to the study and development of network services. Her expertise in foundational and advanced network topics has been shared with her students, helping to shape the next generation of computer scientists. Her work in this area is recognized for its practical applications and relevance to the evolving needs of digital communication systems.

🔧 INNOVATION IN COMPUTER SCIENCE

Innovation is at the heart of Dr. Mâaloul Abid’s research. Her focus on energy-aware technologies and system optimization highlights her commitment to creating more efficient and sustainable computing environments. Her ongoing research in smart systems and her role in the LT2S laboratory position her as a key player in the field of computer science innovation.

🏅 ACADEMIC EXCELLENCE

Throughout her academic career, Dr. Mâaloul Abid has consistently demonstrated excellence, receiving honors and distinctions for her work. From her undergraduate studies to her doctoral research, her dedication to her field has been evident, earning her respect and recognition within the academic community.

Aminul Hoque – Computers in Biology – Best Researcher Award

Aminul Hoque - Computers in Biology - Best Researcher Award

University of Rajshahi - Bangladesh

CURRENT RESEARCH

Md. Aminul Hoque is a distinguished academic with a robust research portfolio spanning several domains. His current research interests encompass Bioinformatics, Medical Informatics, Telemedicine, Systems Biology, and Metabolomics. He delves into Biochemical Engineering and Bioprocess, focusing on Multivariate Analysis, Inferential Statistics, and Machine Learning. His expertise extends to Biostatistics, Bayesian Network Analysis, and Gene Clustering, with a special emphasis on Statistics related to Genetic Data Analysis, Gene Expression Data Analysis, Robust Regression Analysis, Time Series Analysis, and Forecasting. His work also includes Outlier Detection and Dynamic Simulation, contributing significantly to these fields.

EMPLOYMENT RECORDS

Md. Aminul Hoque has an impressive academic career, currently serving as a Professor in the Department of Statistics at the University of Rajshahi, Bangladesh, since August 2011. His previous roles include Adjunct Professor at Pundra University of Science and Technology, JSPS Post Doctoral Research Fellow at Niigata University Medical & Dental Hospital, and Visiting Professor at Tokyo University of Science. His postdoctoral research experience includes a tenure at the Institute of Biological Sciences, University of Malaya. His career began at the University of Rajshahi, where he progressed from Lecturer to Associate Professor.

PROFESSIONAL EXPERIENCE

With over 27 years of teaching and research experience, Md. Aminul Hoque has profoundly impacted undergraduate and graduate education in Statistics and Bioinformatics. His extensive professional background is highlighted by his roles in various prestigious institutions and his contributions to advancing the fields of bioinformatics and statistical sciences.

LANGUAGE SKILLS

Md. Aminul Hoque is proficient in Bangla, his mother tongue, and English, which he speaks, reads, writes, and understands excellently. He has average proficiency in Japanese and basic knowledge of Bahasa, showcasing his ability to engage in diverse academic and professional environments.

MEMBERSHIPS

He is an active member of several professional societies, including the Editorial Board of the Journal of Integrative Computational Biosciences and the International Society for Computational Biology. His leadership roles include serving as Vice President of the Bangladesh Bioinformatics and Computational Biology Association and the Bioinformatics Research Group in Rajshahi University. He is also a Joint Secretary of the Bangladesh Statistical Association and holds life memberships in various statistical and alumni associations.

FUNDS OBTAINED

Md. Aminul Hoque has successfully secured various research grants, including the Ministry of Science and Technology grant for studying the impact of Telemedicine in Bangladesh, and multiple grants from Rajshahi University and international scholarships. His notable funding includes the JSPS Post Doc Research Fellowship, University of Malaya Post Doctoral Research Fellowship, and several scholarships and grants from Japan, demonstrating his ability to attract and manage research resources.

ACHIEVEMENTS

His career is marked by significant achievements, including prestigious fellowships and scholarships from leading institutions. His research contributions and academic roles reflect his dedication to advancing knowledge in bioinformatics, medical informatics, and statistical sciences, reinforcing his reputation as a leading figure in his field.

NOTABLE PUBLICATIONS

scHD4E: Novel Ensemble Learning-Based Differential Expression Analysis Method for Single-Cell RNA-Sequencing Data.

Authors: Biswas, B., Kumar, N., Sugimoto, M., Hoque, M.A.
Year: 2024
Journal: Computers in Biology and Medicine


Socioeconomic Inequality and Urban-Rural Disparity of Antenatal Care Visits in Bangladesh: A Trend and Decomposition Analysis.

Authors: Biswas, B., Kumar, N., Rahaman, M.M., Das, S., Hoque, M.A.
Year: 2024
Journal: PLoS ONE


Title: Securing Vehicle-to-Drone (V2D) Communications: Challenges and Solutions.

Authors: Islam, S.M.R., Hoque, M.A., Hossain, M.
Year: 2024
Book Title: Wireless Networks


Title: Weighted Scaling Approach for Metabolomics Data Analysis.

Authors: Biswas, B., Kumar, N., Hoque, M.A., Alam, M.A.
Year: 2023
Journal: Japanese Journal of Statistics and Data Science


Title: Someone to Watch Over You: Using Bluetooth Beacons for Alerting Distracted Pedestrians.

Authors: Hasan, R., Hoque, M.A., Karim, Y., Schwebel, D.C.
Year: 2022
Journal: IEEE Internet of Things Journal