Petros Barmpas | Statistical Analysis | Best Researcher Award

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Mr. Petros Barmpas | Statistical Analysis | Best Researcher AwardĀ 

Mr at University of The, Greece

Petros Barmpas is a dedicated researcher with a strong background in computer science and biomedical informatics. He has been advancing his academic journey at the University of Thessaly since 2020, following his graduation from the University of Patras with a degree in Computer Engineering and Informatics in 2019. His career is marked by an impressive series of publications and contributions to significant projects in the fields of machine learning, clustering methodologies, and the study of healthcare informatics. Petros is married and a proud father, balancing his professional and personal life with dedication and resilience. His contributions in AI and data analysis have cemented his reputation in both academic and practical applications of computational science.

Profile

Scopus

Education šŸŽ“

Petros Barmpas embarked on his academic career by completing high school in Kozani from 2010 to 2013. He then pursued his Bachelorā€™s degree in Computer Engineering and Informatics at the University of Patras, graduating in 2019. Currently, Petros is enrolled at the University of Thessaly, where he has been deepening his expertise in Computer Science and Biomedical Informatics since 2020. His educational path has equipped him with extensive knowledge and skills in computational algorithms, data analysis, and advanced informatics, supporting his impactful research and publications.

Experience šŸ§‘ā€šŸ«

Since the onset of his academic pursuits, Petros Barmpas has engaged in various research initiatives, focusing on the practical application of AI and machine learning. His participation in the ATHLOS project exemplifies his commitment to large-scale data analysis and unsupervised learning. Throughout his time at the University of Thessaly and during collaborations with peers, he has demonstrated exceptional expertise in hierarchical clustering, ensemble regressors, and hyperdimensional computing approaches. Petrosā€™ professional journey showcases a consistent dedication to solving complex computational problems and advancing methodologies in biomedical informatics.

Awards and Honors šŸ†

Petros Barmpas has earned recognition through numerous high-impact publications in prestigious conferences and journals. His co-authored works in IEEE Congresses and journals like the Springer Journal Health Information Science and Systems underscore his influential presence in the research community. The breadth of his collaborative work reflects the trust and respect he commands among fellow researchers, showcasing his commitment to advancing scientific understanding in AI applications and public health data analysis.

Research Focus šŸ”

Petros Barmpasā€™ research primarily explores innovative approaches to machine learning and data clustering. His interests lie in hyperdimensional computing, hierarchical clustering ensemble methods, and the development of predictive models for healthcare studies. He has applied these techniques to diverse areas, including opioid management during the pandemic and socio-demographic analysis in large-scale studies. Through collaborations and independent work, Petros has contributed to refining algorithms that enhance prediction power and adaptability, positioning his work at the intersection of AI and public health informatics.

ConclusionšŸ“

Petros Barmpas is a distinguished researcher with significant accomplishments in computer science and biomedical informatics. His extensive publication record, innovative contributions to data clustering and health informatics, and strong collaborative efforts underscore his suitability for the Best Researcher Award. Addressing areas such as publishing in higher-impact journals and increasing international engagement could further augment his candidacy. Overall, his academic achievements, commitment to interdisciplinary research, and consistent output make him a deserving nominee for recognition.

Publications šŸ“š

  1. Conference Paper: Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification
    Year: 2024
    Authors: Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: 2024 IEEE Congress on Evolutionary Computation, CEC 2024 – Proceedings

 

  1. Conference Paper: HCER: Hierarchical Clustering-Ensemble Regressor
    Year: 2024
    Authors: Barmpas, P., Anagnostou, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Communications in Computer and Information Science, 2141 CCIS, pp. 369ā€“378

 

  1. Article (Open access): The Development and Validation of the Pandemic Medication-Assisted Treatment Questionnaire for the Assessment of Pandemic Crises Impact on Medication Management and Administration for Patients with Opioid Use Disorders
    Year: 2023
    Authors: Leventelis, C., Katsouli, A., Stavropoulos, V., Veskoukis, A.S., Tsironi, M.
    Source: NAD Nordic Studies on Alcohol and Drugs, 40(1), pp. 76ā€“94

 

  1. Conference Paper: Neural Networks Voting for Projection Based Ensemble Classifiers
    Year: 2023
    Authors: Anagnostou, P., Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
    Source: Proceedings of the 2023 IEEE International Conference on Big Data, BigData 2023, pp. 4567ā€“4574

 

  1. Article (Open access): A Divisive Hierarchical Clustering Methodology for Enhancing the Ensemble Prediction Power in Large Scale Population Studies: The ATHLOS Project
    Year: 2022
    Authors: Barmpas, P., Tasoulis, S., Vrahatis, A.G., Plagianakos, V.P., Panagiotakos, D.
    Source: Health Information Science and Systems, 10(1), 6

Marƭa Morales SuƔrez-Varela | Epidemiology | Best Researcher Award

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Ā Prof Dr.MarĆ­a Morales SuĆ”rez-Varela| Power Systems | Best Researcher Award

Maria Manuela Morales Suarez-Varela is a distinguished Professor of Preventive Medicine and Public Health at the University of Valencia, specializing in epidemiology and public health. Born on October 26, 1958, she holds extensive academic and research credentials, including a Scopus Author ID (7007145328) and ORCID ID (0000-0003-0785-1492). Since October 29, 2011, she has been serving as a CatedrƔtico at the Faculty of Pharmacy, where she directs theses and conducts significant research. Her expertise spans preventive medicine, public health, and food science, contributing to numerous publications and advancements in her field.

Profile

Scopus

  • Optimal allocation of distributed generations using hybrid technique with fuzzy logic controller radial distribution system
    • Authors: RK Samala, MR Kotapuri
    • Journal: SN Applied Sciences
    • Volume: 2
    • Issue: 2
    • Article: 191
    • Year: 2020
    • Citations: 48

 

  • Optimal allocation of multiple photo-voltaic and/or wind-turbine based distributed generations in radial distribution system using hybrid technique with fuzzy logic controller
    • Authors: RK Samala, K Mercy Rosalina
    • Journal: Journal of Electrical Engineering & Technology
    • Volume: 16
    • Issue: 1
    • Pages: 101-113
    • Year: 2021
    • Citations: 15

 

  • Optimal DG sizing and siting in radial system using hybridization of GSA and Firefly algorithms
    • Author: RK Samala
    • Journal: Majlesi Journal of Energy Management
    • Volume: 7
    • Issue: 1
    • Year: 2018
    • Citations: 15

 

  • Distributed generation allocation in distribution system using particle swarm optimization based ant-lion optimization
    • Authors: RK Samala, MR Kotapuri
    • Journal: International Journal of Control and Automation
    • Volume: 13
    • Issue: 1
    • Pages: 414-426
    • Year: 2020
    • Citations: 9

 

  • Model Predictive Control for Modeling Human Gait Motions Assisted by Vicon Technology
    • Authors: VT Minh, M Tamre, V Musalimov, P Kovalenko, I Rubinshtein, RK Samala
    • Journal: Journal EuropĆ©en des SystĆØmes AutomatisĆ©s
    • Volume: 53
    • Issue: 5
    • Year: 2020
    • Citations: 6

 

  • Power loss reduction using distributed generation
    • Authors: R Samala, M Kotapuri
    • Journal: Modelling, Measurement and Control A
    • Volume: 91
    • Issue: 104
    • Year: 2018
    • Citations: 6

 

  • Distributed generation in distribution system for power quality enhancement
    • Authors: RK Samala, MR Kotapuri
    • Journal: International Journal of Engineering & Technology
    • Volume: 7
    • Issue: 4
    • Pages: 24
    • Year: 2018
    • Citations: 5

 

  • Multi distributed generation placement using ant-lion optimization
    • Authors: RK Samala, MR Kotapuri
    • Journal: European Journal of Electrical Engineering
    • Volume: 5
    • Issue: 6
    • Pages: 253-267
    • Year: 2017
    • Citations: 5

 

  • Load flow analysis of a 9-bus system using BFSLF algorithm
    • Authors: GK Babu, RK Samala
    • Journal: International Journal of Electronics and Communication Engineering (IJECE)
    • Volume: 4
    • Year: 2015
    • Citations: 5

 

  • Network and generator constrained economic dispatch using real and binary coded genetic algorithms
    • Authors: GK Babu, RK Samala
    • Journal: International Journal of Emerging Technologies and Advanced Engineering
    • Volume: 3
    • Pages: 1185-1192
    • Year: 2013
    • Citations: 4

Isabel Peraita-Costa | Epidemiology | Young Scientist Award

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Dr. Isabel Peraita-Costa | Epidemiology | Young Scientist Award

Dr. Isabel Peraita is a seasoned researcher and educator specializing in biomedical sciences, with a robust background in epidemiology, public health, and environmental toxicology. Currently, Dr. Peraita holds dual positions as a Profesor Asociado at Universidad CatĆ³lica de Valencia San Vicente MĆ”rtir and a Post-Doctoral Researcher at Consorcio Centro de InvestigaciĆ³n BiomĆ©dica en Red-EpidemiologĆ­a y Salud PĆŗblica (CIBERESP), demonstrating a commitment to both teaching and cutting-edge research.

Profile

Scholar

Current Professional Roles

Profesor Asociado, Universidad CatĆ³lica de Valencia San Vicente MĆ”rtir, Department of Ciencias BiomĆ©dicas, Facultad de Medicina y Ciencias de la Salud (Part-time, Permanent Contract, since January 2024). Post-Doctoral Researcher, CIBERESP, Facultad de Farmacia y Ciencias de la AlimentaciĆ³n, Universitat de ValĆØncia (Full-time, since September 2022)

Previous Professional Experience

Dr. Peraita’s professional journey includes significant roles such as:

  • Autonomous Worker at FundaciĆ³n PĆŗblica para la InvestigaciĆ³n de MĆ”laga en Biomedicina y Salud across multiple short-term projects (2017-2023)
  • Senior Researcher (Titulado Superior) at CIBERESP (2018-2022), focusing on pre-doctoral research
  • Non-Doctoral Researcher at Universitat de ValĆØncia (2017)

šŸŽ“Education

Dr. Peraita’s academic credentials are extensive:

Doctorate in Environmental Contamination, Toxicology, and Health, Universitat de ValĆØncia (2022). MĆ”ster in Epidemiology and Public Health, Universidad Internacional de Valencia (2023). MĆ”ster in Environmental Contamination, Toxicology, and Health, Universitat de ValĆØncia (2016). Bachelorā€™s Degree in Chemistry, Universidad Complutense de Madrid (2015)

šŸ”¬Research Contributions

Dr. Peraita has significantly contributed to various high-impact research projects funded through competitive public calls, including:

  • Identification of risk factors in colorectal cancer survivors (Instituto de InvestigaciĆ³n BiomĆ©dica de MĆ”laga, 2019-2021)
  • Multicentric study on adverse outcomes in colorectal cancer patients (Instituto de InvestigaciĆ³n BiomĆ©dica de MĆ”laga, 2014-2016)

She has also engaged in non-competitive R&D projects focusing on pediatric nutrition, neonatal health, and femoral implant evaluations, working under the leadership of prominent investigators such as Maria Morales Suarez-Varela and Maximino Redondo Bautista.

šŸ‘Øā€šŸ«Teaching Experience

Dr. Peraita is actively involved in teaching, currently instructing courses in Organic Chemistry as part of the Double Degree in Physical Activity and Sports Sciences – Human Nutrition and Dietetics at Universidad CatĆ³lica de Valencia San Vicente MĆ”rtir.

Scientific Production and Recognition

With an H-index of 8 on WOS and SCOPUS and 10 on Google Scholar (as of February 2024), Dr. Peraita’s research is widely recognized and cited within the scientific community, reflecting her substantial contributions to the field of biomedical sciences.

Publications Top Notes šŸ“

  • Intermittent fasting and the possible benefits in obesity, diabetes, and multiple sclerosis: a systematic review of randomized clinical trials
    • Authors: M. Morales-SuĆ”rez-Varela, E. Collado Sanchez, I. Peraita-Costa, …
    • Journal: Nutrients
    • Volume: 13
    • Issue: 9
    • Article Number: 3179
    • Year: 2021
    • Citations: 64
    • This systematic review explores the benefits of intermittent fasting on obesity, diabetes, and multiple sclerosis through randomized clinical trials.

 

  • Maternal physical activity during pregnancy and the effect on the mother and newborn: a systematic review
    • Authors: M. Morales-SuĆ”rez-Varela, E. Clemente-Bosch, I. Peraita-Costa, …
    • Journal: Journal of Physical Activity and Health
    • Volume: 18
    • Issue: 1
    • Pages: 130-147
    • Year: 2020
    • Citations: 47
    • This review examines the impact of maternal physical activity during pregnancy on both maternal and newborn health.

 

  • Systematic review of the association between particulate matter exposure and autism spectrum disorders
    • Authors: M. Morales-SuĆ”rez-Varela, I. Peraita-Costa, A. Llopis-Gonzalez
    • Journal: Environmental Research
    • Volume: 153
    • Pages: 150-160
    • Year: 2017
    • Citations: 42
    • This systematic review investigates the potential link between exposure to particulate matter and the development of autism spectrum disorders.

 

  • Randomized prospective study in patients with complex regional pain syndrome of the upper limb with high-frequency spinal cord stimulation (10-kHz) and low-frequency spinal cord stimulation
    • Authors: A. CanĆ³s-Verdecho, D. AbejĆ³n, R. Robledo, R. Izquierdo, A. Bermejo, …
    • Journal: Neuromodulation: Technology at the Neural Interface
    • Volume: 24
    • Issue: 3
    • Pages: 448-458
    • Year: 2021
    • Citations: 23
    • This study evaluates the effectiveness of high-frequency (10-kHz) versus low-frequency spinal cord stimulation in patients with complex regional pain syndrome of the upper limb.

 

  • Prevalencia de hipertensiĆ³n arterial y su asociaciĆ³n con antropometrĆ­a y dieta en niƱos (de seis a nueve aƱos): estudio ANIVA
    • Authors: M. Morales-SuĆ”rez-Varela, M. Mohino-Chocano, C. Soler, A. Llopis-Morales, …
    • Journal: NutriciĆ³n Hospitalaria
    • Volume: 36
    • Issue: 1
    • Pages: 133-141
    • Year: 2019
    • Citations: 19
    • This article studies the prevalence of hypertension and its association with anthropometric measures and diet in children aged six to nine years.

 

  • Vitamin D-related risk factors for maternal morbidity during pregnancy: a systematic review
    • Authors: M.M. SuĆ”rez-Varela, N. UƧar, I. Peraita-Costa, M.F. Huertas, J.M. Soriano, …
    • Journal: Nutrients
    • Volume: 14
    • Issue: 15
    • Year: 2022
    • Citations: 18
    • This review discusses how vitamin D levels influence maternal health and morbidity during pregnancy.

 

  • Endocrine disruptors and autism spectrum disorder in pregnancy: A review and evaluation of the quality of the epidemiological evidence
    • Authors: S. MarĆ­-Bauset, C. Donat-Vargas, A. LlĆ³pis-GonzĆ”lez, A. MarĆ­-Sanchis, …
    • Journal: Children
    • Volume: 5
    • Issue: 12
    • Article Number: 157
    • Year: 2018
    • Citations: 17
    • This review evaluates the epidemiological evidence linking endocrine disruptors during pregnancy to autism spectrum disorders in offspring.

 

  • How 25 (OH) D levels during pregnancy affect prevalence of autism in children: systematic review
    • Authors: N. UƧar, W.B. Grant, I. Peraita-Costa, M. Morales Suarez-Varela
    • Journal: Nutrients
    • Volume: 12
    • Issue: 8
    • Article Number: 2311
    • Year: 2020
    • Citations: 15
    • This review explores the relationship between maternal vitamin D levels during pregnancy and the prevalence of autism in children.

 

  • Risk of gestational diabetes due to maternal and partner smoking
    • Authors: M. Morales-SuĆ”rez-Varela, I. Peraita-Costa, A. Perales-MarĆ­n, …
    • Journal: International Journal of Environmental Research and Public Health
    • Volume: 19
    • Issue: 2
    • Article Number: 925
    • Year: 2022
    • Citations: 12
    • This study investigates the impact of maternal and partner smoking on the risk of gestational diabetes.

 

  • Actigraphic sleep and dietary macronutrient intake in children aged 6ā€“9 years old: A pilot study
    • Authors: S. Coronado Ferrer, I. Peraita-Costa, A. Llopis-Morales, Y. PicĆ³, J.M. Soriano, …
    • Journal: Nutrients
    • Volume: 11
    • Issue: 11
    • Article Number: 2568
    • Year: 2019
    • Citations: 11
    • This pilot study examines the relationship between sleep patterns and dietary macronutrient intake in children.