Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

Dr. Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

Dr. Fatemeh Shah-Mohammadi at University of Utah, United States

 Professional Profiles👨‍🎓

 Early Academic Pursuits 🎓

Dr. Fatemeh Shah-Mohammadi completed her Master of Science in Electrical and Communication Engineering at Birjand University of Technology, where she laid the groundwork for her expertise in engineering and technology. She then pursued her PhD at Rochester Institute of Technology, specializing in Machine Learning. Her dissertation focused on “Machine Learning-enabled Resource Allocation in Underlay Cognitive Radio Networks,” demonstrating her commitment to applying advanced technologies in innovative ways.

Professional Endeavors 💼

Dr. Shah-Mohammadi currently serves as a Research Assistant Professor of Biomedical Informatics at the University of Utah, where she applies her skills in health informatics and clinical data science. Her professional journey includes significant roles as a Biostatistician II/NLP Engineer at Mount Sinai Health System and a postdoctoral fellow at the Icahn School of Medicine. These experiences have equipped her with a robust foundation in data analysis and machine learning applications across diverse domains.

Contributions and Research Focus 🔍

Dr. Shah-Mohammadi’s research primarily centers on the intersection of health informatics and machine learning. She has developed machine learning models that leverage cross-domain datasets to improve clinical outcomes. Notable projects include NLP-assisted pipelines for clinical note analysis and differential diagnosis, highlighting her dedication to enhancing healthcare delivery through technology.

Impact and Influence 🌍

Dr. Shah-Mohammadi’s work has significant implications for health informatics, particularly in the use of natural language processing (NLP) for clinical applications. Her publications in respected journals, such as the IEEE Open Journal of the Communications Society and Studies in Health Technology and Informatics, showcase her contributions to advancing knowledge in this field. Her research efforts aim to reduce diagnostic uncertainty and improve patient care outcomes, underscoring her influence in biomedical informatics.

Academic Cites 📚

Dr. Shah-Mohammadi’s scholarly output includes multiple peer-reviewed articles that have garnered citations and recognition within the academic community. Her ORCID and Google Scholar profiles further highlight her impact, showcasing a growing body of work that contributes to the fields of health informatics and machine learning.

Technical Skills 🛠️

Dr. Shah-Mohammadi is proficient in various technical areas, including:

  • Machine Learning and Data Science
  • Natural Language Processing
  • Statistical Analysis
  • Software Development for Biomedical Applications Her expertise enables her to build and implement sophisticated models that address real-world clinical challenges.

Teaching Experience 👩‍🏫

As an instructor at the University of Utah, Dr. Shah-Mohammadi teaches courses like “Generative AI in Healthcare” and “Intro to Programming.” Her teaching philosophy emphasizes the integration of cutting-edge technology with foundational principles, preparing students for future challenges in biomedical informatics.

Grants and Funding 💰

Dr. Shah-Mohammadi has actively sought and secured funding for her research initiatives. As the Principal Investigator for a project on automated live meta-analysis of clinical outcomes using generative AI, she demonstrates leadership in advancing research in health informatics. Her involvement as a co-investigator in various projects further highlights her collaborative spirit and dedication to impactful research.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Shah-Mohammadi aims to continue her work at the forefront of health informatics, leveraging machine learning and NLP to drive innovations in clinical practice. Her commitment to research, teaching, and community engagement positions her as a leading figure in the field, poised to make lasting contributions to both academia and healthcare.

📖 Top Noted Publications 

 Addressing Semantic Variability in Clinical Outcome Reporting Using Large Language Models

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: BioMedInformatics
Year: 2024

 Extraction of Substance Use Information From Clinical Notes: Generative Pretrained Transformer–Based Investigation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: JMIR Medical Informatics
Year: 2024

Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Diagnostics
Year: 2024

Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access

Authors: Fatemeh Shah-Mohammadi, Hatem Hussein Enaami, Andres Kwasinski
Journal: IEEE Open Journal of the Communications Society
Year: 2021

 NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Studies in Health Technology and Informatics
Year: 2024

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program

Authors: W Cui, Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Healthcare Transformation with Informatics and Artificial Intelligence
Year: 2023

Mohamed Bendahan | Communication et réseaux | Best Researcher Award

Mr. Mohamed Bendahan | Communication et réseaux | Best Researcher Award

Mr. Mohamed Bendahan at Université Mohammed V de Rabat, Morocco

👨‍🎓  Profiles

Early Academic Pursuits 🎓

The academic journey began with a Bachelor’s degree in French Language and Literature, followed by a DEA in Information and Communication Sciences. A Doctorate from Lyon 2 was completed, leading to an habilitation to supervise research obtained in 2013, which reinforced academic credibility in the field.

Professional Endeavors 💼

Currently a Professor of Higher Education at Mohammed V University in Rabat, the individual holds several key positions, including Director of the ALESCO Chair on “Territorial Communication and Social Dynamics” and the doctoral school “Information and Communication Sciences.” As an expert evaluator and member of various scientific committees, they actively contribute to research development in their domain.

Contributions and Research Focus 🔍

Research focuses on the evolution of communication in Morocco, media usage, and communication within public governance. International projects, such as those related to the mediation of civic and religious initiatives and crisis communication during the COVID-19 pandemic, demonstrate a commitment to regional and global engagement.

Impact and Influence 🌍

Involvement in international scientific networks and membership in associations such as SFSIC and AMSIC amplify the impact of their work. Responsibility for various research projects highlights a dedication to fostering dialogue between researchers and practitioners.

Academic Cites 📚

Publications include books, chapters, and articles in indexed and peer-reviewed journals. Contributions to conferences and coordination of journal issues enhance academic visibility. Academic evaluations further demonstrate recognition in the field.

Technical Skills 🛠️

Technical expertise encompasses research methodology, public and territorial communication, and digital communication strategies. Experience in supervising projects and theses showcases the ability to guide students through their academic journeys.

Teaching Experience 👩‍🏫

Since 2005, teaching various Bachelor’s and Master’s programs in communication has facilitated the transfer of knowledge on communication theories, audiovisual communication, and communication strategy. Involvement in internship supervision enhances students’ practical learning.

Legacy and Future Contributions 🔮

With a continued commitment to teaching and research, the professor aims to influence future generations of communicators. Ongoing projects focused on sustainable development and responsible communication indicate a promising future and a desire to leave a positive legacy in the field.

 

📖 Top Noted Publications

The Contribution of Religion to Protest Mobilization on Digital Social Networks
    • Authors: Khalid Ait Hadi; Mohamed Bendahan; Saad Chemaou
    • Journal: Religions
    • Year: 2024
Médiatisation, (nouveaux) militantismes et numérisation
    • Authors: Tudor, M.-A.; Bendahan, M.
    • Journal: ESSACHESS – Journal for Communication Studies
    • Year: 2022
Social Entrepreneurship in Morocco: From Activism to Development Expertise
    • Authors: Chemaou, S.; Bendahan, M.; Bratosin, S.
    • Journal: ESSACHESS – Journal for Communication Studies
    • Year: 2022
The Arabic-speaking press in England through the prism of the Gulf policies
    • Authors: Nader, A.; Bendahan, M.
    • Journal: Revue des Mondes Musulmans et de la Mediterranee
    • Year: 2022
Television channels in the face of the covid-19 pandemic: Case of public television channels in Morocco
    • Authors: Kabbadj, M.; Bendahan, M.
    • Journal: ESSACHESS – Journal for Communication Studies
    • Year: 2021
Religious media in the Maghreb: What are the boundaries between the public and private spheres?
    • Authors: Bendahan, M.; Akhiate, Y.
    • Journal: Religions
    • Year: 2020
Communications and Mobility: The Migrant, the Mobile Phone, and the Container Box
    • Authors: Bendahan, Mohamed
    • Journal: HESPERIS-TAMUDA
    • Year: 2018

 

Mitesh Mangaonkar – Innovation in Data Analysis – International Data Breakthrough Achievement Award 

Mr. Mitesh Mangaonkar - Innovation in Data Analysis - International Data Breakthrough Achievement Award 

Airbnb - United States

Author Profile

Early Academic Pursuits

Mr. Mitesh M. Mangaonkar embarked on his academic journey with a strong foundation in technology and information systems. He earned his Bachelor of Engineering in Information Technology from the University of Mumbai in May 2012, graduating with an impressive GPA of 3.8. His undergraduate studies provided him with a robust understanding of computer science fundamentals, software engineering principles, and data management techniques. This academic foundation was instrumental in shaping his analytical skills and problem-solving capabilities.

Continuing his pursuit of higher education, Mitesh enrolled in the Master of Science program in Management Information Systems at Texas Tech University. Graduating in May 2014 with a GPA of 3.7, he honed his expertise in data management, business intelligence, and system analysis. His graduate studies equipped him with advanced knowledge in managing and interpreting large datasets, preparing him for a career in data engineering and analytics.

Professional Endeavors

Mr. Mitesh's professional career began at Amazon Web Services (AWS) in Seattle, WA, where he served as a Data Engineer from January 2015 to January 2018. During this tenure, he developed SQL queries for customer engagement analysis, collaborated on scalable data processing algorithms, and managed extensive data migrations. His work contributed significantly to enhancing customer experience and operational efficiencies.

In January 2018, Mitesh transitioned to WeWork in San Francisco, CA, as a Senior Data Engineer. Here, he designed next-generation data tools and frameworks, managed AWS applications, and led data discovery sessions with business teams. His role involved building RESTful APIs and orchestrating data workflows, which were pivotal in supporting WeWork’s global operations.

March 2019 saw Mitesh return to AWS, this time in Austin, TX, as a Lead Data Architect. Over the next two years, he designed and deployed enterprise-class applications, implemented automation processes, and collaborated with AWS teams to enhance customer and partner experiences. Notably, he developed a data migration framework that significantly reduced costs for a top-tier retail customer.

In January 2021, Mitesh joined Airbnb in Austin, TX, as a Tech Lead and Data Engineer. His responsibilities included developing large-scale data processing systems, building real-time data pipelines for fraud detection, and contributing to shared data engineering tools and standards. His efforts led to substantial fraud prevention and operational improvements at Airbnb.

Contributions and Research Focus

Throughout his career, Mitesh has focused on developing and optimizing data infrastructure, enhancing data processing systems, and implementing robust data analytics solutions. His research interests lie in big data frameworks, machine learning, and real-time data processing. At Airbnb, he designed and automated high-performance data processing systems, which played a crucial role in driving business growth and improving product experiences.

His contributions to the field include building real-time data pipelines that empowered Airbnb’s fraud detection mechanisms, preventing significant financial losses. At AWS, he was instrumental in creating a data migration framework that reduced data warehousing costs, showcasing his ability to deliver impactful solutions in data engineering.

Accolades and Recognition

Mr. Mitesh’s work has been recognized for its impact and excellence. His contributions to fraud detection at Airbnb led to the prevention of $1.2 million in fraud incidents within six months of implementing real-time pipelines. His innovative solutions in data migration at AWS earned him accolades for significantly reducing operational costs for major clients.

Impact and Influence

Mr. Mitesh’s influence extends beyond his immediate work environment. At AWS, he collaborated with sales, pre-sales, and support teams to educate partners and customers on using AWS services effectively. His efforts in conveying customer feedback to AWS engineering teams helped shape technology roadmaps, ensuring that AWS services met the evolving needs of its users.

At Airbnb, Mitesh evangelized high-quality software engineering practices, enhancing the productivity and output quality of data engineers across the company. His leadership in data infrastructure projects has set a benchmark for efficiency and effectiveness in data engineering practices.

Legacy and Future Contributions

Mr. Mitesh M. Mangaonkar’s legacy is marked by his commitment to advancing data engineering and analytics. His contributions have not only improved operational efficiencies and reduced costs but also enhanced the overall user experience for major technology companies. Looking ahead, Mitesh aims to continue driving innovation in data processing systems, leveraging emerging technologies in machine learning and big data frameworks to solve complex business challenges.

His future contributions are expected to focus on scaling data infrastructure, developing advanced analytics solutions, and mentoring the next generation of data engineers. By staying at the forefront of technological advancements, Mitesh is poised to make lasting impacts in the field of data engineering and beyond.

Notable Publication

 

Huan Rong | Best Researcher Award | Data Analysis Innovation

Huan Rong - Nanjing University of Information Science and Technology - Data Analysis Innovation🏆

Prof Huan Rong : Data Analysis Innovation

Professional profile:

Early Academic Pursuits:

Prof. Huan Rong embarked on his academic journey at Nanjing University of Information Science and Technology (NUIST), China. He earned his Bachelor's, Master's, and Ph.D. degrees in Computer Science from NUIST between 2009 and 2020. His academic progression demonstrated his commitment to computer science, setting the foundation for his subsequent research endeavors.

Professional Endeavors:

Following his educational journey, Prof. Huan Rong entered the professional realm by joining TrendMicro, CN as a Software Developer from 2016 to 2017. His practical experience outside academia enriched his skill set and provided a different perspective on software development and its applications.

Prof. Huan Rong then transitioned back to NUIST, initially as a Lecturer from 2020 to 2023 and subsequently as an Associate Professor from 2023 onwards. These roles marked his dedication to academia, where he delved deeper into research, mentorship, and shaping future professionals in the field of artificial intelligence.

Contributions and Research Focus:

His  contributions primarily revolve around a broad spectrum of research areas, including brain-inspired computation, data mining, deep learning, natural language processing, information security, and more. His work has been published in esteemed journals such as IEEE TKDE, ACM TKDD, and Neurocomputing, among others. His research projects, funded by notable organizations like the National Natural Science Foundation of China and the Natural Science Foundation of Jiangsu Province, emphasize the significance and impact of his work.

Accolades and Recognition:

His dedication to research and innovation has earned him various accolades and recognitions. Notably, he received the Jiangsu Province Higher Education Science and Technology Research Achievement Award for his work on social network data privacy protection and public opinion supervision in 2021. Furthermore, he was granted the title of Vice President of Science and Technology in Jiangsu Province in 2022, underscoring his influential role in the academic and technological landscape.

Impact and Influence:

With a plethora of publications and active involvement in committees like the Emotional Computing Committee of the Chinese Information Processing Society of China, Rong has made a significant impact on the academic community. His research and contributions have not only advanced the field but also influenced fellow researchers and professionals, evident from his roles as a journal reviewer for several prestigious publications.

Legacy and Future Contributions:

As Prof. Huan Rong continues his academic and research journey, his legacy is shaped by his dedication to advancing the field of artificial intelligence and its applications. His focus on brain-inspired computation, data mining, and other pivotal areas signifies his commitment to addressing contemporary challenges and pushing boundaries. Moving forward, Rong's future contributions are anticipated to further enrich the field, inspire upcoming researchers, and foster innovation in artificial intelligence and related domains.

Notable Publication: