Dr. Theoma Otobo | Team Building and Team Management | Best Researcher Award

Dr. Theoma Otobo | Team Building and Team Management | Best Researcher Award

UFPR, Brazil

Profile 

Orcid

Early Academic Pursuits 🎓

Theoma Muriel Sanches Otobo’s academic journey began with a solid foundation in Telecommunications Engineering at the Instituto de Estudos Superiores da Amazônia (IESAM), where she graduated in 2008. Her undergraduate thesis, Line Code involving Optical Fiber, underscored her early interest in the technical aspects of signal transmission and optical communication. This passion for telecommunications engineering set the stage for a career deeply rooted in innovation and problem-solving.

Continuing her educational pursuits, Theoma earned her Master’s degree in Electrical Engineering from the Federal University of Paraná (UFPR) in 2014. Her thesis, Performance Evaluation of Point-to-Multipoint Transmission Systems through Case Study Analysis, delved into the intricacies of transmission systems, addressing noise, legislation, and system reliability—key areas vital to telecommunications infrastructure. This work showcased her analytical skills and commitment to improving telecommunication technologies.

Her academic journey culminated in a Ph.D. in Electrical Engineering with an emphasis on Telecommunications at UFPR in 2020. Her dissertation, SINMCEL – New Graphic Visualization Methodology Applied to a Multipot Transmission System, introduced novel visualization methods for complex transmission systems, further establishing her expertise in the field. During this time, she was a CAPES scholarship recipient, reflecting her academic excellence and dedication.

Professional Endeavors 💼

Theoma’s professional career has been a seamless extension of her academic achievements. With a strong background in Electrical Engineering and Telecommunications, she has worked across multiple sectors, including the Center for Business-School Integration (CIEE) and various esteemed institutions. Her technical-proficient coursework and experience enabled her to master fiber optic maintenance, satellite communication, wireless network planning, and cooperative communications, making her a versatile expert in telecommunications.

Her practical knowledge is complemented by her participation in specialized training programs such as Safety in Electricity Installations (NR-10) and Wi-Fi Networks with ExtremeIQ, highlighting her commitment to staying current with emerging technologies and safety standards.

Contributions and Research Focus 📡

Theoma’s contributions to telecommunications engineering are vast and impactful. Her research primarily focuses on critical areas such as:

  • Transmission Systems: Exploring efficient mechanisms for data transfer.
  • Noise Analysis: Identifying and mitigating interference in communication channels.
  • Legislation Compliance: Ensuring adherence to regulatory standards in telecommunications.
  • Reliability: Enhancing the dependability of communication systems.

Her Ph.D. work introduced innovative methodologies for visualizing transmission system performance, providing stakeholders with tools to improve operational efficiency and decision-making. This research has implications for improving network reliability and optimizing resources in multi-point transmission systems.

Accolades and Recognition 🏅

Throughout her career, Theoma has been recognized for her academic and professional excellence. Notably, she was awarded a CAPES scholarship during her doctoral studies, a testament to her intellectual rigor and potential. Her work has been cited in multiple bibliographic formats, indicating its relevance and influence in the field of telecommunications engineering.

She has also contributed to conferences such as the Brazilian Telecommunications Symposium (SBRT), further solidifying her reputation as a thought leader in the domain.

Impact and Influence 🌐

Theoma’s contributions have had a lasting impact on both academia and the telecommunications industry. Her research addresses pressing challenges in transmission systems, offering innovative solutions that enhance network reliability and efficiency. By focusing on practical applications and theoretical advancements, she has bridged the gap between academia and industry.

Her dedication to teaching and mentorship ensures the transfer of knowledge to the next generation of engineers, fostering a culture of innovation and excellence.

Legacy and Future Contributions 🌟

Looking ahead, Theoma is poised to make even greater contributions to telecommunications engineering. Her ongoing post-doctoral research at UFPR continues to explore the frontiers of electrical engineering, ensuring that she remains at the forefront of technological advancements. With her expertise and passion, she is likely to influence policy, drive innovation, and inspire future engineers.

Her legacy is one of perseverance, excellence, and an unwavering commitment to improving telecommunications systems. Theoma’s work not only enhances technological infrastructure but also lays the groundwork for a connected and efficient future.

📝Notable Publications

An Innovative Graphical Viewer Analysis Applied in a Multipoint Transmission System

Authors: Theoma Muriel Sanches Otobo, Horacio Tertuliano Filho
Journal: IEEE Access
Year: 2019

Dr. Haiyan Jiang | Team Building and Team Management | Best Researcher Award

Dr. Haiyan jiang ,Team Building and Team Management, Best Researcher Award

Department of Intelligent Equipment, Shandong University of Science & Technology, Tai-an, China

Profile 

Scopus 

Orcid 

📚Early Academic Pursuits 

Haiyan Jiang’s journey in the fields of intelligent detection technology, robot technology, and pattern recognition began with a strong foundation in academics. She pursued rigorous studies, acquiring a deep understanding of cutting-edge theories and technologies. Her early academic career was marked by a commitment to mastering the principles of experiment design, data collection, and analysis. This academic rigor laid the groundwork for her subsequent research and teaching endeavors.

🛠️Professional Endeavors 

As an educator and researcher, Haiyan Jiang has significantly contributed to both national and provincial scientific research projects. She has been involved in various educational and teaching research initiatives, demonstrating a strong dedication to advancing knowledge in her field. Her professional journey is characterized by leadership in editing and compiling textbooks and monographs, which serve as valuable resources for students and fellow researchers alike.

Haiyan Jiang has a wealth of experience in applying innovative thinking to solve complex problems. Her ability to design experiments and draw meaningful conclusions has been a cornerstone of her teaching and research. She has published numerous papers in high-impact journals, highlighting her expertise and contributions to the scientific community.

🔍Contributions and Research Focus 

Haiyan Jiang’s research has primarily focused on intelligent detection technology, robot technology, and pattern recognition. Her work has involved the development and application of advanced algorithms and models to solve practical problems in these areas. Some of her notable research publications include:

  1. Coal-gangue recognition via multi-branch convolutional neural network based on MFCC in noisy environment – Published in Scientific Reports, 2023, this paper explores the use of multi-branch convolutional neural networks for coal-gangue recognition in noisy environments.
  2. Adaptive multiswarm particle swarm optimization for tuning parameter optimization of three-element dynamic vibration absorber – This study, published in Mechanical Sciences, focuses on optimizing parameters using adaptive multiswarm particle swarm optimization.
  3. State Diagnosis of Elevator Control Transformer over Vibration Signal Based on MEA-BP Neural Network – Published in Shock and Vibration, 2021, this research addresses state diagnosis using MEA-BP neural networks.
  4. Rule-based expert system to assess caving output ratio in top coal caving – Featured in PLOS ONE, 2020, this paper presents a rule-based expert system for assessing caving output ratios.
  5. Feature selection based on FDA and F-score for multi-class classification – Published in Expert Systems with Applications, 2017, this study focuses on feature selection techniques for multi-class classification.
  6. An automatic decision approach to coal–rock recognition in top coal caving based on MF-Score – This research, published in Pattern Analysis & Applications, 2017, proposes an automatic decision approach for coal-rock recognition.

🏆Accolades and Recognition 

Haiyan Jiang’s dedication and achievements have not gone unnoticed. Her work has been recognized with various awards, including a notable mention for the “Best Researcher Award” for her article on the extreme obstacle-crossing performance and multi-objective optimization of tracked mobile robots. This recognition is a testament to her relentless efforts and contributions to her field.

🌍Impact and Influence 

Throughout her career, Haiyan Jiang has made a significant impact on the scientific community and the field of intelligent detection technology. Her research has advanced the understanding and application of complex algorithms and models, providing solutions to real-world problems. Her publications have been widely cited, influencing further research and development in related areas.

🌟Legacy and Future Contributions 

Looking forward, Haiyan Jiang aims to continue her in-depth exploration in robot motion control and path planning. Her future research will likely contribute to the development of more sophisticated and efficient robotic systems. She is committed to pushing the boundaries of knowledge and technology in her field, ensuring her legacy as a pioneer in intelligent detection and robotics.

Haiyan Jiang’s career is a testament to her passion for research, her innovative approach to problem-solving, and her dedication to advancing knowledge. Her contributions have left a lasting mark on her field, and her future endeavors promise to further elevate her influence and impact.

Publications 

Coal-gangue recognition via multi-branch convolutional neural network based on MFCC in noisy environment

    • Authors: Haiyan Jiang, Dashuai Zong, Qingjun Song, ZhiJiang Liu, Jing Tian
    • Journal: Scientific Reports
    • Year: 2023

Semantic Segmentation of In-Vehicle Point Cloud With Improved RangeNet++ Loss Function

    • Authors: Jia Zhang, Haiyan Jiang, Huizhi Shao, Xiaofeng Wang, Dashuai Zong
    • Journal: IEEE Access
    • Year: 2023

Longitudinal Vibration Characteristics of Deep Sea Mining Pipe Based on ABAQUS | 基于 ABAQUS 的深海采矿扬矿管纵向振动性能

    • Authors: Qinghui Song, Linjing Xiao, Haiyan Jiang, Xun Liu, Fan Yan
    • Journal: Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University
    • Year: 2022

Adaptive multiswarm particle swarm optimization for tuning the parameter optimization of a three-element dynamic vibration absorber

    • Authors: Qinghui Song, Linjing Xiao, Qingjun Song, Haiyan Jiang, Xun Liu
    • Journal: Mechanical Sciences
    • Year: 2022

Dynamic behavior of lifting pipe with equivalent model under mining vessel heave motion

    • Authors: Qinghui Song, Haiyan Jiang, Qingjun Song, Linjing Xiao, Fan Yan
    • Journal: Journal of Mechanical Science and Technology
    • Year: 2022

Dr. Michaela Cellina | Team Building and Team Management | Excellence in Research

Dr. Michaela Cellina | Team Building and Team Management | Excellence in Research

ASST FBF SACCO, Italy

🔗 Professional Profiles

🏥 Work Experience:

  • ASST Fatebenefratelli Sacco: Medical Director – Radiologist (March 2016 – Present)
    • Responsibilities include conducting ultrasound, CT, MRI, and conventional radiology examinations in both elective and emergency settings.
    • Head of MRI and involved in scientific activities and university relations since January 2020.
  • Previous Positions:
    • Centro Diagnostico Italiano, CDI (December 2023 – Present): Radiologist specializing in neuro and body examinations.
    • Casa di Cura La Madonnina, Milan (October 2020 – December 2023): Radiologist specializing in intra-hospital extramural services.
    • IRCCS Ospedale San Raffaele di Milano (March 2012 – February 2016): Medical Director – Radiologist.

🎓 Education and Training:

  • University Vita-Salute San Raffaele di Milano:
    • Specialization in Diagnostic Radiology (August 2011)
    • Medical and Surgical Degree with honors (July 2006)

📚 Other Qualifications:

  • National Scientific Qualification – ASN Professor II level (May 2021)
  • High professional qualification in Diagnostic Radiology, specializing in Magnetic Resonance.

💼 Organizational Skills:

  • Secretariat of the Presidency, SIRM National Congress 2024.
  • Organized dynamic RX activities in collaboration with Konika Minolta, involving various medical specialties.
  • Councilor of the Study Committee of Computerized Tomography SIRM, facilitating educational initiatives.
  • Appointed Chairman of the Tender Commission for a turnkey MRI scanner in February 2022.

🌐 Community Contributions:

  • Headed MRI, Scientific Activity, and University Relations at P.O. Fatebenefratelli, enhancing service standards.
  • Led the activation of advanced diagnostic services like DacrioMRN and LymphoMRI, establishing global recognition for lymphedema treatment.

🎓 Educational Activity:

  • Volunteer professor at UNIMI for courses in Radiodiagnostics and Pathogenesis & Diagnostics.
  • Actively contributes to medical education and training programs.

This biography outlines Dr. Michaela Iva Cellina’s distinguished career in diagnostic radiology, leadership roles, and educational contributions

📖Publication Top Noted

Paper Title : Favorable changes of CT findings in a patient with COVID-19 pneumonia after treatment with tocilizumab

  • Authors: Michaela Cellina, Marcello Orsi, Francesco Bombaci, Maurizio Sala, Pietro Marino, Giancarlo Oliva
  • Journal: Diagnostic and interventional imaging
  • Year: 2020
  • Citations: 135

Paper Title : pparent diffusion coefficient modifications in assessing gastro-oesophageal cancer response to neoadjuvant treatment: comparison with tumour regression grade at histology

  • Authors: Francesco De Cobelli, Francesco Giganti, Elena Orsenigo, Michaela Cellina, Antonio Esposito, Giulia Agostini, Luca Albarello, Elena Mazza, Alessandro Ambrosi, Carlo Socci, Carlo Staudacher, Alessandro Del Maschio
  • Journal: European radiology
  • Year: 2013
  • Citations: 129

Paper Title : AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

  • Authors: Paolo Soda, Natascha Claudia D’Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alí, Diego Sona, Sergio Papa
  • Journal: Medical image analysis
  • Year: 2015
  • Citations: 82

Paper Title : Volumetric assessment of sphenoid sinuses through segmentation on CT scan

  • Authors: Daniele Gibelli, Michaela Cellina, Stefano Gibelli, Antonio Giancarlo Oliva, Marina Codari, Giovanni Termine, Chiarella Sforza3
  • Journal: Surgical and Radiologic anatomy
  • Year: 2019
  • Citations: 16

Paper Title : Ultrasound imaging classifications of thyroid nodules for malignancy risk stratification and clinical management: state of the art

  • Authors: Chiara Floridi, Michaela Cellina, Giorgio Buccimazza, Antonio Arrichiello, Andrea Sacrini, Francesco Arrigoni, Giovanni Pompili, Antonio Barile, Gianpaolo Carrafiello
  • Journal: Gland surgery
  • Year: 2019
  • Citations: 50