Dr. Mohsin Masood – Data Scientist – Best Researcher Award 

Published on by Innovator Awards

Dr. Mohsin Masood - Data Scientist - Best Researcher Award 

Imperial College London - United Kingdom

Author Profile 

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Mohsin Masood began his academic journey with a strong foundation in computer science, securing a merit-based msc funding grant from the university of east london (2011–2012). his early academic achievements laid the groundwork for advanced training in health data science, culminating in a phd in statistical modelling from the university of strathclyde, funded by a competitive grant (2014–2017). his scholarly curiosity extended internationally through the erasmus exchange research grant at vsb-technical university of ostrava (2015–2018), where he deepened his expertise in predictive modelling and bioinformatics. during this phase, his interest in power electronics and algorithmic optimization in medical diagnostics emerged as an interdisciplinary focus.

💼 Professional endeavors

With over a decade of experience, mohsin has held impactful roles across academia and research institutions. as an assistant professor in computer science at abasyn university (2018–2022), he designed and taught advanced courses in ai, ml, and data science, incorporating real-world applications in epidemiology and digital health. later, as a senior research fellow at the university of leeds (2022–2023), he led data engineering for a large-scale 2.9 million patient cohort, employing advanced machine learning and nlp tools to analyze multimorbidity and Data Scientist cardiovascular risks. currently, he serves as a research associate at imperial college london (2023–present), where he leads predictive modelling projects on population health, integrating datasets like uk biobank, sail databank, and triphic. he also fosters collaborations with institutions such as sheffield university and a* university of singapore.

🧠 Contributions and research focus

Mohsin’s core research focus lies in multimorbidity, disease progression modelling, and epidemiological risk assessment, particularly within cardiovascular and pulmonary health Data Scientist domains. he applies deep learning, survival analysis, and multistate modelling to interpret complex patient trajectories and disease clustering. his work with electronic health records (ehrs) like hospital episode statistics (hes) reflects a commitment to improving precision medicine. integrating technologies from power electronics into patient monitoring systems has been a unique dimension of his research, promoting real-time diagnostics and health alerts. he has also contributed to educational leadership by mentoring bsc and msc students in ai-based health science projects.

🌍 Impact and influence

Mohsin’s influence extends beyond academia through his involvement in cross-institutional research, digital outreach, and public health strategy. at imperial’s national heart and lung institute (nhli), he manages social media communications to boost public engagement with medical data science. his high-impact publications have contributed to the growing intersection of Data Scientist computational modelling and health outcomes, often cited in cardiovascular and cancer research communities. he is recognized for bridging the gap between statistical modelling and power electronics, showing how smart analytics can optimize hardware for healthcare delivery.

📚 Academic cites

His academic influence is reflected in high citation counts across journals focusing on biostatistics, machine learning in medicine, and epidemiology. notable contributions include projects funded by imperial nhli’s pilot project award (2023–2024) and royan pharmaceutical’s breast cancer research grant (2020–2021). his statistical toolkits and predictive algorithms are widely referenced in studies involving survival analysis, deep learning applications in ehrs, and risk prediction modelling.

🧬 Legacy and future contributions

Mohsin’s legacy lies in fostering a data-driven healthcare ecosystem where interdisciplinary tools empower clinicians and researchers alike. he aims to develop scalable, explainable ai systems for public health, enabling real-time decision-making in hospitals and remote settings. leveraging power electronics, he envisions the integration of wearable technologies with ai for early disease detection and patient monitoring. his commitment to mentoring the next generation of health data scientists ensures a lasting academic and societal impact.

Notable Publications 

  • Title: Emotion classification and crowd source sensing; a lexicon based approach
    Authors: R. Kamal, M.A. Shah, C. Maple, M. Masood, A. Wahid, A. Mehmood
    Journal: IEEE Access

  • Title: An improved particle swarm algorithm for multi-objectives based optimization in MPLS/GMPLS networks
    Authors: M. Masood, M.M. Fouad, R. Kamal, I. Glesk, I.U. Khan
    Journal: IEEE Access

  • Title: Energy efficient software defined networking algorithm for wireless sensor networks
    Authors: M. Masood, M.M. Fouad, S. Seyedzadeh, I. Glesk
    Journal: Transportation Research Procedia

  • Title: Proposing bat inspired heuristic algorithm for the optimization of GMPLS networks
    Authors: M. Masood, M.M. Fouad, I. Glesk
    Journal: 2017 25th Telecommunication Forum (TELFOR)

  • Title: Analysis of artificial intelligence-based metaheuristic algorithm for MPLS network optimization
    Authors: M. Masood, M.M. Fouad, I. Glesk
    Journal: 2018 20th International Conference on Transparent Optical Networks (ICTON)

Prof. Xinxiao Li –  Big Data Technologies – Best Researcher Award 

Published on by Innovator Awards

Prof. Xinxiao Li -  Big Data Technologies - Best Researcher Award 

Shonan Institute of Technology - Japan

Author Profile 

SCOPUS 

ORCID 

🎓 Early academic pursuits

Prof. Xinxiao Li’s academic journey began with a strong foundation in biomedical engineering and medical devices at chongqing university, where he earned his b.eng. his passion for technology and innovation led him to pursue an m.eng. in electronic physics at xi'an jiaotong university, further refining his expertise in control systems and computational methodologies. he continued his academic pursuit with a ph.d. in control science and engineering at xi'an jiaotong university, focusing on advanced control theories and digital systems. his rigorous education laid the groundwork for his remarkable contributions to software engineering and digital innovation.

🚀 Professional endeavors

with a distinguished career spanning both academia and industry, prof. li has held pivotal roles at prestigious institutions and global corporations. he began his professional journey as an assistant professor at xi'an jiaotong university, where he quickly advanced to associate professor, contributing to cutting-edge research in control systems. transitioning to japan, he served as a visiting researcher at keio university, where he expanded his expertise in software and information systems. his industrial career flourished at sony emcs corporation, followed by a long tenure at toshiba corporation, where he held key positions such as principal researcher, senior specialist, chief researcher, and expert at the digital innovation center. his work at toshiba played a crucial role in advancing digital transformation, software engineering, and human-in-the-loop systems.

🤖 Contributions and research focus

prof. Li’s research is at the forefront of software engineering, information visualization, and human-computer interaction. he has significantly contributed to the development of user-friendly Big Data Technologies interfaces, augmented reality applications, and intelligent image processing techniques. his work integrates human-in-the-loop systems, ensuring seamless interaction between technology and users. his innovative approach has driven advancements in digital solutions for industrial applications, medical systems, and consumer technology. his interdisciplinary expertise bridges the gap between engineering, artificial intelligence, and user experience, making his research highly impactful across multiple domains.

🏆 Accolades and recognition

throughout his career, prof. li has been recognized for his pioneering work in digital innovation. his research contributions have been published in prestigious journals and presented at Big Data Technologies international conferences, solidifying his reputation as a thought leader in software engineering. his tenure at toshiba corporation saw him lead multiple groundbreaking projects, earning him industry-wide recognition for his expertise in digital transformation and user interface design. his academic contributions at xi'an jiaotong university and keio university have also garnered respect, influencing new generations of researchers and engineers.

👨‍💻 Impact and influence

Prof. Li’s influence extends beyond academia and corporate research labs; his work has had a lasting impact on the technological landscape. his advancements in information visualization and image processing have been integrated into various industrial applications, improving operational efficiency and user experience. his leadership in software development and augmented Big Data Technologies reality has paved the way for innovative applications in both enterprise and consumer markets. through his collaborations with leading institutions and corporations, he has played a key role in shaping the future of digital systems and interactive technologies.

🌍 Legacy and future contributions

As a visionary in software engineering and digital systems, prof. li’s legacy is defined by his commitment to technological advancement and knowledge dissemination. his work has set new standards in user interface design, human-in-the-loop systems, and software engineering methodologies. looking ahead, he continues to explore emerging technologies, driving innovations in artificial intelligence, augmented reality, and interactive digital environments. his mentorship of students and researchers ensures that his impact will continue to shape the future of software engineering, fostering a new era of intelligent and user-centric digital solutions.

Notable Publication 

  • Title: Integrated visualization with controllable deep linking for distributed datasets
    Author(s): Li, X.; Kuroda, A.
    Journal: ACM International Conference Proceeding Series

  • Title: International Conference on Visual Computing (ICVC 99)
    Author(s): Xinxiao Li
    Journal: International Conference on Visual Computing

  • Title: Polyspector™: An interactive visualization platform optimized for visual analysis of big data
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.
    Journal: UIST 2016 Adjunct - Proceedings of the 29th Annual Symposium on User Interface Software and Technology

  • Title: Advanced aggregate computation for large data visualization
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.; Nakajima, N.
    Journal: IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings

  • Title: Distributed aggregate computation between server and client for interactive visualization
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.; Nakajima, N.
    Journal: IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings