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 ๐ŸŽ“

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 ๐Ÿ“Š

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 ๐Ÿ“ˆ

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 ๐Ÿ”

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 ๐Ÿ”ฎ

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 ๐Ÿ—บ๏ธ

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 ๐Ÿค

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. 422โ€“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, 1990โ€“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

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

Minakshi Boruah – Computational Biology – Best Researcher Award

Minakshi Boruah - Computational Biology - Best Researcher Award

DR. B R AMBEDKAR NATIONAL INSTITUTE OF TECHNOLOGY - INDIA

EARLY ACADEMIC PURSUITS

Minakshi Boruah's academic journey reflects a commitment to excellence, evident from her academic achievements since school. With accolades like standing II in AISSE and winning academic prizes during her undergraduate years, she demonstrated a passion for learning and excelling in her studies.

PROFESSIONAL ENDEAVORS

Transitioning into her professional career, Minakshi Boruah continued to excel, qualifying competitive exams like GATE and NET UGC in Computer Science and Applications. Her work experience at Wipro further honed her skills, where she undertook certifications in AWS cloud and actively participated in various training programs and workshops.

CONTRIBUTIONS AND RESEARCH FOCUS

Minakshi Boruah's dedication to pursuing higher research-based studies in Computer Science and Engineering is evident from her participation in numerous workshops, training programs, and conferences. Her research interests extend to Computational Biology, as seen in her paper presentations and attendance at events like the SERB-INAE workshop.

IMPACT AND INFLUENCE

Through her active involvement in academic and research activities, Minakshi Boruah has made a significant impact on her peers and colleagues. Her paper presentations at prestigious conferences and receipt of the Best Paper Award highlight her contributions to the field of Computational Biology.

ACADEMIC CITES

Minakshi Boruah's research contributions have been recognized through her paper presentations at IEEE conferences and the receipt of the Best Paper Award. These achievements underscore her growing influence in the academic community and her potential for future scholarly contributions.

LEGACY AND FUTURE CONTRIBUTIONS

As Minakshi Boruah continues her journey in academia and research, her legacy is shaped by her dedication to excellence, passion for learning, and commitment to making meaningful contributions to the field of Computational Biology. Her future endeavors hold promise for further advancements in research and innovation.

NOTABLE PUBLICATION

CaDenseNet: a novel deep learning approach using capsule network with attention for the identification of HIV-1 integration siteย  2023

Identification of DNA motif using likelihood and attention based pooling method in the GRU frameworkย  2022