Mrs. Inajara Rutyna | Online Monitoring | Best Researcher Award

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Mrs. Inajara Rutyna | Online Monitoring | Best Researcher Award

Mrs. Inajara Rutyna | Online Monitoring | Warsaw University of Technology | Poland

Mrs. Inajara Rutyna is a distinguished researcher in the field of Artificial Intelligence and Renewable Energy Systems, currently pursuing her Ph.D. in Automation, Electronics, and Electrical Engineering at the Warsaw University of Technology, Poland. Her academic foundation is built on a Master’s degree in Numerical Methods in Engineering and a Bachelor’s degree in Industrial Mathematics from the Universidade Federal do Paraná, Brazil. Throughout her academic and professional journey, Mrs. Inajara Rutyna has consistently demonstrated exceptional proficiency in mathematical modeling, computational intelligence, and optimization methods. Her professional experience encompasses diverse roles, including AI Development Specialist at IDEAS NCBR Sp. z o.o., where she developed intelligent algorithms and Python-based models for renewable energy forecasting, and Mathematical Modeller and Data Scientist at the National Centre for Nuclear Research, Poland, contributing to mathematical frameworks for sustainable power systems. Additionally, her earlier engagements as a Game Economy Designer at Rage Quit Games and as a Project and Process Analyst at Segula do Brasil Engenharia e Tecnologia reflect her versatility in applying data-driven modeling to industrial, gaming, and energy contexts. Mrs. Rutyna’s research interests lie primarily in Artificial Intelligence applications for renewable energy forecasting, computational fluid dynamics, optimization algorithms, and machine learning-based energy modeling. Her technical skills include advanced programming in Python, MATLAB, and Fortran, as well as expertise in numerical analysis, data science, and algorithmic development. She has authored and co-authored multiple IEEE and Scopus-indexed publications focusing on energy efficiency prediction, evaluation metrics for wind power, and AI-based forecasting. She is an active member of professional bodies such as the IEEE, contributing to international research collaborations and scientific discussions on sustainable technology innovation.

Professional Profiles: ORCID

Featured Publications 

  1. Rutyna, I. (n.d.). Gated lag and feature selection for day-ahead wind power forecasting using on-site SCADA data. IEEE. (Citations: 42)

  2. Rutyna, I. (n.d.). Efficiency analysis of k-nearest neighbors machine learning method for 10-minutes ahead forecasts of electric energy production at an onshore wind farm. Elsevier. (Citations: 38)

  3. Rutyna, I. (n.d.). Evaluation metrics for wind power forecasts: A comprehensive review and statistical analysis of errors. IEEE Access. (Citations: 57)

  4. Rutyna, I. (n.d.). Polynomial interpolation with repeated Richardson extrapolation to reduce discretization error in CFD. Springer. (Citations: 31)

  5. Rutyna, I. (n.d.). Stochastic hybrid optimization methods for renewable energy forecasting and grid stability. IEEE Transactions on Sustainable Energy. (Citations: 29)

Dr. Michelangelo Mortello | Monitoring | Excellence in Research Award

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Dr. Michelangelo Mortello | Monitoring | Excellence in Research Award

Dr. Michelangelo Mortello | Monitoring | Italian Welding Institute | Italy

Dr. Michelangelo Mortello is a highly accomplished researcher and materials engineer at the Istituto Italiano della Saldatura (IIS) – Ente Morale, Genoa, Italy, whose work stands at the intersection of welding technology, materials science, and sensing innovation. With a strong academic foundation culminating in a Ph.D. in Materials Engineering, Dr. Mortello has developed profound expertise in laser-based manufacturing, hybrid welding systems, hydrogen embrittlement mitigation, and subsurface sensing applications for industrial metals. His education and continuous professional engagement have equipped him with exceptional research insight into advanced joining processes, metallurgy, and additive manufacturing. Throughout his career, Dr. Mortello has accumulated an extensive body of work, publishing more than 29 scientific papers with over 800 citations and an h-index of 16, reflecting the global influence of his research contributions. His professional experience spans collaborative roles in advanced laboratories and European research initiatives, where he has contributed to the development of real-time sensing frameworks for process monitoring, structural diagnostics, and non-destructive evaluation. At IIS, he has led and contributed to numerous research projects focused on laser–arc hybrid welding, hydrogen embrittlement studies, and the structural evaluation of pipelines for repurposing energy systems. Dr. Mortello’s research interests encompass a wide spectrum of interdisciplinary domains, including additive manufacturing, laser processing, smart sensing technologies, and the integration of artificial intelligence in material diagnostics. His scientific pursuits aim to enhance the reliability, sustainability, and precision of industrial materials through predictive modeling and sensor-enabled process control. Equipped with advanced research skills such as finite element modeling (FEM), computational simulation, microstructural characterization, and corrosion testing, he consistently contributes innovative solutions to address the challenges of modern manufacturing.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications 

  1. Mortello, M., & Casalino, G. (2021). Transfer mode effects on Ti6Al4V wall building in wire laser additive manufacturing. Manufacturing Letters. — Citations: 65

  2. Casalino, G., & Mortello, M. (2021). Laser-arc combined welding of AA5754 alloy. Materials Letters. — Citations: 58

  3. Contuzzi, N., Mortello, M., & Casalino, G. (2021). On the laser scarfing of epoxy resin matrix composite with copper reinforcement. Manufacturing Letters. — Citations: 47

  4. Casalino, G., Leo, P., Mortello, M., Perulli, P., & Varone, A. (2017). Effects of laser offset and hybrid welding on microstructure and IMC in Fe–Al dissimilar welding. Metals. — Citations: 83

  5. Casalino, G., Guglielmi, P., Lorusso, V. D., Mortello, M., Peyre, P., & Sorgente, D. (2017). Laser offset welding of AZ31B magnesium alloy to 316 stainless steel. Journal of Materials Processing Technology. — Citations: 112

Mr. Rashid Al-Shibli | Monitoring Awards | Best Researcher Award

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Mr. Rashid Al-Shibli | Monitoring Awards | Best Researcher Award

Mr. Rashid Al-Shibli, Sultan Qaboos University, Oman

Rashid Salim Al-Shibli is a dedicated and ambitious 5th-year medical student at Sultan Qaboos University in Muscat, Oman. With a strong commitment to enhancing health outcomes and quality of life, he is passionate about advancing his knowledge and expertise in neurology and neurosurgery, focusing on understanding and treating complex neurological disorders. Rashid’s academic excellence has been recognized through multiple Dean’s List distinctions, and he has contributed to the medical field with several research publications on topics such as multiple sclerosis relapses and pediatric neurology. His work earned him First Place in a poster presentation at the Third Neurology Conference in Salalah, Oman, in 2023.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Rashid Salim Al-Shibli

Rashid Salim Al-Shibli, a 5th-year clinical medical student at Sultan Qaboos University, is an exemplary candidate for the Best Researcher Award. His profile reflects a strong commitment to both academic excellence and cutting-edge medical research, particularly in neurosurgery and neurology. Rashid has consistently demonstrated high academic achievement, being on the Dean’s List for four consecutive years (2020-2023), and has been involved in significant publications and presentations within the medical field.

🎓 Education

  • Dean’s List 🎖️: 2020, 2021, 2022, 2023

🏆 Awards

  • First Place in Poster Presentation 🥇: Third Neurology Conference, Salalah, Oman, 2023

📄 Publications

  • ScienceDirect: Seasonal Variation of Multiple Sclerosis Relapses in Oman (18 Dec, 2023)
  • Current Medicinal Chemistry: Association of MiRNA and Bone Tumors: Future Therapeutic Inroads (30 Jan, 2024)
  • Journal of Pediatric Neurosciences: The “Weekend Effect” and “Off-Hours Effect” in Pediatric TBIL (07 May, 2024)

📜 Courses

  • Basic Life Support (2023)
  • Data Analysis (SPSS) (2022-2023)
  • COVID-19 Infection Control (2020)

🎙️ Attendance & Conferences

  • Presenter, Oman Medical Specialty Board Career Day 2024 🩺
  • Oral Presentation at Sultan Qaboos University Hospital Research Day 2024 🏥
  • Attendee, Pediatric Metabolic Bone Disease Symposium (2024)
  • Poster Presentation at Third Oman Neurology Conference (2023) 🧾
  • Attendee, Multiple Sclerosis Virtual Conference, Saudi Arabia (2022)
  • Attendee, IFMSA Event on Poverty Impact on Child Health (2020)

💼 Training & Internships

  • Marketing & E-Commerce Workshop 💻: College of Engineering, Sultan Qaboos University (2023)
  • Summer Internship 🏥: Al Hajir Health Centre, Muscat, Oman (2022)

🔧 Skills

  • Data Collection & Analysis 📊
  • Academic Writing ✍️
  • Critical Thinking and Problem-Solving 🧩
  • Effective Communication & Teamwork 🤝

Publication top Notes:

Seasonal Variations in Multiple Sclerosis Relapses in Oman: A Single Tertiary Centre Experience

Association of MiRNA and Bone Tumors: Future Therapeutic Inroads

Dr. Rebecca Robbins | Monitoring Awards | Best Researcher Award

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Dr. Rebecca Robbins | Monitoring Awards | Best Researcher Award

Dr. Rebecca Robbins, Harvard Medical School, Brigham and Women’s Hospital, United States

Dr. Rebecca Robbins is an esteemed Assistant Professor at Harvard Medical School and the T.H. Chan School of Public Health, with a notable focus on sleep, circadian disorders, and health communication. She earned her BS in Hotel Administration with a concentration in Business and Finance from Cornell University in 2009, followed by an MS and PhD in Health Communication and Health Marketing from the same institution. In 2022, she completed a second MSc in Medical Sciences from Harvard Medical School. Dr. Robbins has completed extensive postdoctoral training, including research in population health at NYU School of Medicine and sleep and respiratory neurobiology at Brigham and Women’s Hospital, Boston.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Rebecca Robbins is an excellent candidate for the Best Researcher Award at Harvard Medical School, given her remarkable career trajectory, expertise in sleep research, and significant contributions to public health.

Education:

  • 2009: BS in Hotel Administration, Business & Finance, Cornell University, Ithaca, NY
  • 2013: MS in Health Communication & Health Marketing, Cornell University
  • 2015: PhD in Health Communication & Health Marketing, Cornell University (advised by Drs. Jeff Niederdeppe, Brian Wansink, James Maas, and Sahara Byrne)
  • 2022: MSc in Medical Sciences (Clinical Investigation), Harvard Medical School, Boston, MA

Postdoctoral Training:

  • 05/2015 – 08/2019: Postdoctoral Fellow, Population Health & Health Disparities Research, NYU School of Medicine, New York, NY (mentored by Dr. Girardin Jean-Louis)
  • 08/2019 – 10/2020: Postdoctoral Research Fellow, Sleep, Circadian and Respiratory Neurobiology, Brigham and Women’s Hospital (BWH), Boston, MA & Harvard Medical School (HMS), Boston, MA (mentored by Dr. Charles Czeisler)

Faculty Academic Appointments:

  • 11/2020 – Present: Instructor of Medicine, Harvard Medical School
  • 03/2023 – Present: Assistant Professor of Medicine, Harvard Medical School
  • 01/2024 – Present: Assistant Professor at the T.H. Chan School of Public Health, Harvard University

Appointments at Hospitals:

  • 11/2020 – Present: Associate Scientist, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital (BWH)

Publication top Notes:

Estimating Community Disruption from Nighttime Gunshots in 6 U.S. Cities, 2015 to 2021

Exploring sleep difficulties, alcohol, illicit drugs, and suicidal ideation among adolescents with a history of depression

Author Response: Sleep Apnea and Incident Stroke in a National Cohort of Black and White Adults

Accuracy of Three Commercial Wearable Devices for Sleep Tracking in Healthy Adults

Pioneering a multi-phase framework to harmonize self-reported sleep data across cohorts