Abeer abdelhalim | Big Data Analytics | Best Researcher Award

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Prof. Abeer abdelhalim | Big Data Analytics | Best Researcher Award

Prof. Abeer abdelhalim | Big Data Analytics – king faisal university | Saudi Arabia

Abeer M. M. Abdelhalim is a Full Professor of Accounting at King Faisal University, KSA, specializing in managerial accounting with over 30 years of academic and professional experience. He has contributed significantly to the field with numerous publications in peer-reviewed journals and has secured prestigious research grants. Prof. Abdelhalim is highly skilled in project management, scientific research, and organizing academic events. He has worked in various academic and leadership roles across multiple institutions, and his research focuses on management accounting, cost accounting, and financial disclosure. A dedicated educator, he fosters a stimulating learning environment for students and has led various training programs in accounting. His passion for continuous self-learning and development keeps him at the forefront of modern educational practices and technologies.

Profile

Orcid 

Education

Prof. Abeer M. M. Abdelhalim earned his Bachelor’s in Accounting in 1995 from the Faculty of Commerce, Suez Canal University, Egypt. He then completed his Master’s in Cost & Managerial Accounting in 2000, followed by a Ph.D. in Managerial Accounting in 2006 from the same institution. His academic background laid the foundation for his distinguished career in both teaching and research. Prof. Abdelhalim’s education has empowered him to contribute significantly to the field of accounting, particularly in managerial and cost accounting, through various publications and applied research. His educational journey continues to inspire his teaching and consultancy work today.

Professional Experience

Prof. Abdelhalim has held several key positions throughout his career. Currently, he is a Full Professor of Accounting at King Faisal University, KSA, where he has also served as an Associate Professor and Assistant Professor. Prior to this, he worked at Imam University and Suez Canal University, where he taught various accounting and financial subjects. He has designed and implemented numerous accounting systems and led educational development projects. Additionally, Prof. Abdelhalim has extensive experience in training and consultancy, having conducted numerous workshops and courses in financial and managerial accounting. His leadership roles include heading committees in strategic planning, accreditation, and student affairs.

Awards and Recognition

Prof. Abeer M. M. Abdelhalim has earned several prestigious awards throughout his career. Notably, he won the First Place in Economic Studies from Prince Rashid bin Humid for Culture and Sciences in 2018. He also received the Distinguished Publication Award from the Scholarly Council at King Faisal University in 2023 for his significant contributions to research. His work in academia and research has been widely recognized, making him a leading figure in his field. His dedication to excellence in teaching and research continues to earn him accolades and recognition from both academic institutions and professional organizations.

Research Skills

Prof. Abdelhalim possesses advanced skills in scientific research, particularly in the fields of managerial and cost accounting. He has authored numerous articles in high-impact journals and has a strong track record of securing research grants. His research interests include financial reporting, digital transformation in accounting, big data analytics, and corporate sustainability. Prof. Abdelhalim is highly skilled in conducting applied research that addresses practical challenges in the accounting profession, particularly in relation to modern technologies such as blockchain and artificial intelligence. He is also experienced in leading research teams and contributing to global academic conferences.

Publications

From the Internet of Things to the Internet of Ideas: The Role of Artificial Intelligence
👤 Abeer Abdelhalim | 📖 Springer International Publishing | 🌍 2023 | DOI: 10.1007/978-3-031-17746-0 | ISBN: 9783031177453, 9783031177460 | ISSN: 2367-3370, 2367-3389 🌟🎓

The Moderating Role of Digital Environmental Management Accounting in the Relationship between Eco-Efficiency and Corporate Sustainability
👤 Abeer Abdelhalim | 📖 Sustainability | 🌍 2023 | April 23 | 🌟🎓💼

The Influence of Audit Committee Chair Characteristics on Financial Reporting Quality
👤 Abeer Abdelhalim, Abdalwali Lutfi, Saleh Zaid Alkilani, Mohamed Saad, Malek Hamed Alshirah, Ahmad Farhan Alshirah, Mahmaod Alrawad, Malak Akif Al-Khasawneh, Nahla Ibrahim | 📖 Journal of Risk and Financial Management | 🌍 2022 | November 29 | DOI: 10.3390/jrfm15120563 🌟🎓💼

The Relationship between Risk Disclosure and Firm Performance: Empirical Evidence from Saudi Arabia
👤 Abeer Abdelhalim | 📖 The Journal of Asian Finance, Economics and Business | 🌍 2021 | June 30 | DOI: 10.13106/JAFEB.2021.VOL8.NO6.0255 🌟🎓💼

Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

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Prof. Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

College of Water Conservancy and Civil Engineering, Shandong Agricultural University | China

Publication Profile

Scopus

PROF. QIANG YUE – A LEADER IN BIG DATA ANALYTICS AND WATER CONSERVANCY RESEARCH 🌐💧

INTRODUCTION 🌟

Prof. Qiang Yue is a prominent academic and researcher at the College of Water Conservancy and Civil Engineering, Shandong Agricultural University, China. Specializing in Big Data Analytics, Prof. Yue has contributed significantly to the field of water conservancy and civil engineering, focusing on the integration of data science and engineering for sustainable solutions. His interdisciplinary approach is helping shape the future of water management systems and infrastructure development.

EARLY ACADEMIC PURSUITS 🎓

Prof. Yue’s academic journey began with a strong foundation in civil engineering and water conservancy. After completing his undergraduate degree, he pursued advanced studies in related fields, obtaining a Master’s and PhD with a focus on big data analytics and its applications in civil engineering and water resources management. His rigorous academic training set the stage for his future contributions to both engineering and data science.

PROFESSIONAL ENDEAVORS 💼

As a faculty member at Shandong Agricultural University, Prof. Yue has played a key role in developing research programs and teaching in the fields of water conservancy and civil engineering. His work bridges the gap between traditional engineering methods and modern data analytics, incorporating advanced technologies like machine learning and AI in the optimization of water resources and infrastructure planning. Prof. Yue has also collaborated with national and international research institutions, contributing to various large-scale projects focused on water management and sustainable civil engineering practices.

CONTRIBUTIONS AND RESEARCH FOCUS ON Big Data Analytics 🔬

Prof. Yue’s research interests lie at the intersection of Big Data Analytics and civil engineering, particularly in the optimization of water conservancy systems. His work focuses on the application of machine learning algorithms, predictive analytics, and real-time data collection to improve the efficiency of water resource management, flood control, and infrastructure development. Additionally, his research aims to enhance the sustainability of civil engineering projects through data-driven decision-making, making significant strides toward smart cities and sustainable environmental practices.

IMPACT AND INFLUENCE 🌍

Prof. Yue’s research has had a profound impact on both the academic community and the industry. His innovative use of Big Data Analytics in water conservancy and civil engineering has transformed how data is used in real-time decision-making, helping optimize water resource management on a large scale. His work influences policy decisions, infrastructure development projects, and sustainability strategies, improving water conservation efforts in China and beyond. Prof. Yue has also mentored a generation of engineers and researchers, sharing his knowledge and experience to cultivate future leaders in the field.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Prof. Yue has authored numerous papers in high-impact journals, with a focus on Big Data Analytics and its applications in water management and civil engineering. His publications cover topics such as predictive modeling, real-time water quality monitoring, and optimization of water distribution systems using machine learning. His research is widely cited in the academic community, reflecting the significance of his work in the integration of Big Data with engineering practices.

HONORS & AWARDS 🏆

Prof. Yue’s exceptional contributions to Big Data Analytics and water conservancy have earned him various honors and awards, including:

  • Best Paper Award, International Conference on Water Management and Engineering (2022)
  • Outstanding Researcher Award, Shandong Agricultural University (2021)
  • Excellence in Teaching Award, College of Water Conservancy and Civil Engineering (2020)
  • Innovation in Data Science Award (2019)

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Prof. Yue’s work is paving the way for the next generation of engineers who will rely on data analytics to create sustainable and efficient infrastructure solutions. His future contributions promise to further the development of smart cities, improve water resource management, and enhance the overall resilience of urban environments to climate change. As he continues to innovate and mentor young engineers, his legacy will endure, shaping the future of civil engineering and environmental sustainability.

FINAL NOTE 📌

Prof. Qiang Yue’s career has been defined by his commitment to applying cutting-edge technology to real-world problems in water conservancy and civil engineering. His research is reshaping how engineers and policymakers approach water management and sustainability. His ability to blend Big Data Analytics with traditional engineering disciplines is a testament to his vision for the future of infrastructure and environmental protection.

 TOP NOTES PUBLICATIONS 📚

Dynamic health prediction of plain reservoirs based on deep learning algorithms
    • Authors: Z., Zhu; Zhaohui, H.; Wu, Hao; Z., Zhang, Zhicheng; R., Wang, Rui; Q., Yue, Qiang
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2025
Recognition and quantification of apparent damage to concrete structure based on computer vision
    • Authors: J., Liu, Jiageng; H., Sun, Hongyu; Q., Yue, Qiang; Y., Jia, Yanyan; S., Wang, Shaojie
    • Journal: Measurement: Journal of the International Measurement Confederation
    • Year: 2025

Omar Haddad | Artificial Intelligence | Best Researcher Award

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Dr. Omar Haddad l Artificial Intelligence | Best Researcher Award

MARS Research Lab, Tunisia

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Dr. Omar Haddad began his academic journey with a solid foundation in mathematics, earning his Bachelor in Mathematics from Mixed High School, Tataouine North, Tunisia, in 2008. Building on this, he pursued a Fundamental License in Computer Science at the Faculty of Sciences of Monastir, University of Monastir, Tunisia, graduating with honors in 2012. He further honed his skills in advanced topics through a Research Master in Computer Science specializing in Modeling of Automated Reasoning Systems (Artificial Intelligence) at the same institution, completing his thesis on E-Learning, NLP, Map, and Ontology in 2016. This laid the groundwork for his doctoral studies in Big Data Analytics for Forecasting Based on Deep Learning, which he completed with highest honors at the Faculty of Economics and Management of Sfax, University of Sfax, Tunisia, in 2023.

💼 Professional Endeavors

Currently, Dr. Haddad is an Assistant Contractual at the University of Sousse, Tunisia, where he contributes to the academic and technological growth of the institution. He is a dedicated member of the MARS Research Laboratory at the University of Sousse, where he collaborates on cutting-edge projects in Artificial Intelligence and Big Data Analytics. His professional expertise extends to teaching across various levels, including preparatory, license, engineer, and master levels, with over 2,000 hours of teaching experience in state and private institutions.

📚 Contributions and Research Focus

Dr. Haddad’s research spans several transformative domains, including:

  • Artificial Intelligence (AI) and its application in solving complex problems.
  • Machine Learning (ML) and Deep Learning (DL) for advanced predictive modeling.
  • Generative AI and Large Language Models (LLMs) for innovation in Natural Language Processing (NLP).
  • Big Data Analytics for informed decision-making and forecasting.
  • Computer Vision for visual data interpretation and insights.

He has published three significant contributions in Q1 and Q2 journals and participated in Class C conferences, highlighting his commitment to impactful and high-quality research.

🌟 Impact and Influence

As a peer reviewer for prestigious journals like The Journal of Supercomputing, Journal of Electronic Imaging, SN Computer Science, and Knowledge-Based Systems, Dr. Haddad ensures the integrity and quality of academic contributions in his field. His work has influenced a diverse range of domains, from computer science education to applied AI, establishing him as a thought leader in his areas of expertise.

🛠️ Technical Skills

Dr. Haddad possesses a robust set of technical skills, including:

  • Proficiency in Deep Learning frameworks and Big Data tools.
  • Expertise in programming languages such as Python and C.
  • Knowledge of Database Engineering and algorithms.
  • Application of Natural Language Processing (NLP) in academic and industrial projects.

👨‍🏫 Teaching Experience

Dr. Haddad has an extensive teaching portfolio, covering a wide range of topics:

  • Database Engineering, Algorithms, and Programming, taught across license and engineer levels.
  • Advanced topics such as Big Data Frameworks, Foundations of AI, and Object-Oriented Programming.
  • Specialized courses on Information and Communication Technologies in Teaching and Learning.

His dedication to education is evident in his ability to adapt teaching strategies to different academic levels and institutional needs.

🏛️ Legacy and Future Contributions

Dr. Haddad’s legacy lies in his ability to bridge academia and industry through innovative research and teaching. As he continues to expand his expertise in Generative AI and LLMs, his future contributions will likely shape the next generation of intelligent systems and predictive analytics. His goal is to inspire students and researchers to harness the transformative potential of AI and Big Data to address global challenges.

🌐 Vision for the Future

Dr. Omar Haddad envisions a future where AI and Big Data technologies are seamlessly integrated into various sectors to enhance decision-making, foster innovation, and empower global communities. By combining his teaching, research, and technical skills, he aims to leave a lasting impact on the academic and technological landscape.

📖 Top Noted Publications
Toward a Prediction Approach Based on Deep Learning in Big Data Analytics
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Neural Computing and Applications
    • Year: 2022
A Survey on Distributed Frameworks for Machine Learning Based Big Data Analysis
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Proceedings of the 21st International Conference on New Trends in Intelligent Software Systems
    • Year: 2022
An Intelligent Sentiment Prediction Approach in Social Networks Based on Batch and Streaming Big Data Analytics Using Deep Learning
    • Authors: O. Haddad, F. Fkih, M.N. Omri
    • Journal: Social Network Analysis and Mining
    • Year: 2024
Big Textual Data Analytics Using Transformer-Based Deep Learning for Decision Making
    • Authors: O. Haddad, M.N. Omri
    • Journal: Proceedings of the 16th International Conference on Computational Collective Intelligence
    • Year: 2024

Vinod Kumar | Big Data Analytics | Best Researcher Award

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Assoc Prof Dr. Vinod Kumar | Big Data Analytics | Best Researcher Award

FLAME University, India

Author Profile

Google Scholar

🌱 Early Academic Pursuits

Assoc Prof Dr. Vinod Kumar began his academic journey with a strong foundation in Mechanical Engineering, earning a Bachelor’s degree from Haryana College of Technology & Management, Kaithal. He then transitioned into the realm of business, acquiring a Master of Business Administration (MBA) in Marketing from Chandigarh Business School. His intellectual pursuit culminated in a Ph.D. in Marketing from the prestigious Indian Institute of Technology (IIT) Roorkee. His doctoral thesis, titled “Assessing the Influence of Stakeholders on Sustainability Marketing Strategy,” focused on how various stakeholders shape the strategies for sustainable marketing.

💼 Professional Endeavors

Dr. Kumar’s professional trajectory spans over a decade in academia, with positions at renowned institutions. His current role as an Associate Professor at FLAME University in Pune, Maharashtra, marks the latest phase in a distinguished career. Prior to this, he held faculty positions at MICA, Ahmedabad, Symbiosis Institute of Business Management, and the Indian Institute of Information Technology, Lucknow, among others. Additionally, Dr. Kumar’s experience in industry as a Sales Executive and Water Treatment Specialist adds practical insight to his academic teaching. This mix of academia and industry experience enriches his approach to teaching and research.

📚 Contributions and Research Focus

Dr. Kumar’s research primarily focuses on Brand Management, Digital Marketing, Green Marketing, Digital Business Strategy, and Social Media Marketing. His interdisciplinary approach integrates traditional marketing principles with the evolving digital landscape. Notable research projects include studying the relationship between stakeholders and sustainability strategies, and he has contributed significantly to the literature on stakeholder identification in marketing. Dr. Kumar has published papers in high-impact journals such as Management Research Review and has been honored with the Emerald Literati Network Award for Excellence in 2017 for his outstanding research.

🌍 Impact and Influence

Through his academic and professional roles, Dr. Kumar has made a substantial impact in shaping the marketing landscape. His research has not only contributed to the academic body of knowledge but has also influenced industry practices. The recognition of his work through awards like the Best Paper Award at AMRIT-2020 and Emerald Literati Network Awards for Excellence reflects his significant influence in the marketing and digital business strategy domains. Additionally, his consulting project on Digital Marketing Strategies and Tools for God’s Grace Distributions showcases his practical expertise and ability to drive business transformation.

📑 Academic Cites and Recognition

Dr. Kumar’s research has garnered widespread recognition and citation in leading academic forums. His work on Sustainability Marketing and Stakeholder Analysis is widely referenced in marketing and sustainability studies. His recognition by various academic bodies, including the FIIB Business Review as a reviewer and the AIM-AMA Sheth Foundation Travel Grant, further solidifies his standing as an authority in his field.

💻 Technical Skills

Dr. Kumar possesses advanced proficiency in digital marketing tools, UI/UX Design, Social Media Marketing, and Data Analytics. His expertise in Digital Business Strategy enables him to leverage digital platforms effectively for both academic purposes and real-world business solutions. This technical expertise is integrated into his teaching, providing students with a modern, practical learning experience that blends theory with the latest industry practices.

🎓 Teaching Experience

Dr. Kumar has held teaching positions across multiple prestigious institutions, where he has designed and taught courses on Marketing Management, Digital Marketing, Brand Management, and Sales and Distribution Management. His role as the Founding Head of the Department at IIIT Lucknow enabled him to create a dynamic curriculum and research environment for future leaders in business management. His approach to teaching combines innovative strategies, a deep understanding of digital platforms, and a focus on practical application, which has been appreciated by students and colleagues alike.

🌟 Legacy and Future Contributions

As a respected academic, Dr. Kumar has not only imparted knowledge but has also shaped the future of marketing education. His research continues to evolve, with ongoing supervision of Ph.D. students, such as Ms. Isha Sharma and Mr. Vibhav Singh. Dr. Kumar’s legacy is built upon his commitment to enhancing the relevance of marketing education in the digital age and his contribution to sustainability marketing. His future contributions are likely to have a significant impact on both academic literature and industry practices in digital business strategy, making him a thought leader to watch in the coming years.

📖 Top Noted Publications 

Evolution of Sustainability as Marketing Strategy: Beginning of New Era
    • Authors: V Kumar, Z Rahman, AA Kazmi, P Goyal
    • Journal: Procedia-Social and Behavioral Sciences
    • Year: 2012
Sustainability Marketing Strategy: An Analysis of Recent Literature
    • Authors: V Kumar, Z Rahman, AA Kazmi
    • Journal: Global Business Review
    • Year: 2013
Examining Consumer-Brand Relationships on Social Media Platforms
    • Authors: NK Jain, S Kamboj, V Kumar, Z Rahman
    • Journal: Marketing Intelligence and Planning
    • Year: 2018
Stakeholder Identification and Classification: A Sustainability Marketing Perspective
    • Authors: V Kumar, Z Rahman, AA Kazmi
    • Journal: Management Research Review
    • Year: 2016
Why Export Competitiveness Differs Within Indian Textile Industry? Determinants and Empirical Evidence
    • Authors: R Dhiman, V Kumar, S Rana
    • Journal: Review of International Business and Strategy
    • Year: 2020
Investigating the Impact of Online Service Convenience on Customer Engagement, Attitude and Intention to Use Food Delivery Apps
    • Authors: V Vandana, S Kumar, V Kumar, P Goyal
    • Journal: International Journal on Food System Dynamics
    • Year: 2023

Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

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Dr. Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

The Ohio State University, United States

Author Profiles

Orcid

Google Scholar

Research Gate

Early Academic Pursuits 🎓

Dr. Rituraj Upadhyay began his academic journey with a strong foundation in medical education at the prestigious All India Institute of Medical Sciences (AIIMS), New Delhi. There, he completed his Bachelor of Medicine and Surgery (MBBS) in 2014, followed by an MD in Radiation Oncology (2017). His early medical training was marked by a deep interest in radiotherapy and oncology, leading him to pursue a Diplomate of National Board (DNB) certification in Radiation Oncology. His academic endeavors during this time reflected a commitment to advancing medical knowledge and improving patient care through radiation oncology.

Professional Endeavors 🌍

Dr. Upadhyay’s professional career has been driven by a passion for advancing radiation oncology, particularly through his work in clinical and academic settings. His residency at The Ohio State University Wexner Medical Center (2021–2025) is a notable highlight in his professional journey, demonstrating his commitment to mastering the latest technologies and treatments in radiation oncology. Dr. Upadhyay’s time at renowned institutions like MD Anderson Cancer Center and Rutgers Cancer Institute of New Jersey has further solidified his standing as an emerging leader in the field. His pursuit of innovation and excellence is evident from his involvement in advanced radiation oncology fellowships and international research collaborations.

Contributions and Research Focus 🔬

Dr. Upadhyay’s research is at the forefront of radiation oncology, with a focus on improving treatment outcomes and minimizing side effects. He has contributed significantly to clinical trials and funded research, such as the “PRIMe-STAR trial” on progressive/recurrent intracranial meningiomas and the “AVATAR” system aimed at reducing anesthesia needs in pediatric radiotherapy. His research on stereotactic radiosurgery for brain metastases and radiation therapy for conditions like penile cancer and renal stereotactic ablative therapy underscores his diverse interests in cancer treatment. His studies have potential global impact, as reflected in his leadership role in multinational research endeavors.

Impact and Influence 🌟

Dr. Upadhyay’s influence extends beyond his research. As an educator and mentor, he actively shapes the next generation of radiation oncologists. His roles in mentoring medical students, residents, and fellows at institutions like The Ohio State University and Massachusetts General Hospital highlight his dedication to guiding aspiring professionals. He also plays a key role in enhancing the field through his involvement in various professional organizations such as the American Society for Radiation Oncology (ASTRO) and the Radiosurgery Society (RSS). His work as a guideline reviewer and committee member for several radiation oncology societies reflects his broad influence on the development of standards and best practices in the field.

Academic Cites 📚

Dr. Upadhyay’s research and academic work are well-regarded, with his contributions earning recognition through numerous awards and honors. Notable accolades include the American College of Radiation Oncology (ACRO) Best Abstract Award and the American Radium Society (ARS) Early Career Oncologist Award, which are testaments to his influential research on topics like stereotactic radiosurgery and palliative radiation therapy. These accolades further cement his reputation in the academic community, demonstrating the high regard in which his peers hold his research.

Technical Skills 💻

Dr. Upadhyay has developed a comprehensive set of technical skills that position him at the cutting edge of radiation oncology. His expertise spans advanced radiation therapy techniques such as stereotactic radiosurgery (SRS), stereotactic body radiotherapy (SBRT), proton therapy, and image-guided brachytherapy. In addition, he is well-versed in cutting-edge technologies, including the use of artificial intelligence and machine learning in radiation oncology for treatment planning and quality assurance. His technical acumen is further demonstrated by his involvement in developing new approaches to enhance clinical outcomes for complex cancer cases.

Teaching Experience 📖

Dr. Upadhyay has dedicated substantial time to teaching and mentorship, sharing his expertise with medical students, residents, and fellow researchers. He has served as a moderator for educational webinars and a mentor for various research initiatives. His roles as a panelist and speaker at international conferences, such as the ASTRO Annual Meeting and the Ohio State University Cardio-Oncology Symposium, reflect his commitment to advancing education within the field of oncology. Through these initiatives, he has played a key role in shaping the future of radiation oncology education.

Legacy and Future Contributions 🔮

Dr. Upadhyay’s legacy in radiation oncology is already being established through his groundbreaking research and mentorship. His involvement in international clinical trials, such as the AVATAR system and the PRIMe-STAR trial, is likely to make a long-lasting impact on the clinical management of cancer patients globally. Looking forward, Dr. Upadhyay plans to continue advancing his research, particularly in the areas of stereotactic radiosurgery and precision medicine. His work promises to significantly shape the future of radiation oncology, particularly in improving treatment efficacy, minimizing side effects, and enhancing patient care across diverse populations.

 

Top Noted Publications 📖

Additive Value of Magnetic Resonance Simulation Before Chemoradiation in Evaluating Treatment Response and Pseudoprogression in High-Grade Gliomas

Authors: Divya Yadav, Rituraj Upadhyay, Vinodh A. Kumar, Melissa M. Chen, Jason M. Johnson, Holly Langshaw, Brandon J. Curl, Maguy Farhat, Wasif Talpur, Thomas H. Beckham et al.

Journal: Practical Radiation Oncology

Year: 2024

Risk-Stratified Radiotherapy in Pediatric Cancer

Authors: Rituraj Upadhyay, Arnold C. Paulino

Journal: Cancers

Year: 2024

Disease Control and Toxicity Outcomes after Stereotactic Ablative Radiation Therapy for Recurrent and/or Metastatic Cancers in Young-Adult and Pediatric Patients

Authors: Rituraj Upadhyay, Brett Klamer, Jennifer Matsui, Vikram B. Chakravarthy, Thomas Scharschmidt, Nicholas Yeager, Bhuvana A. Setty, Timothy P. Cripe, Ryan D. Roberts, Jennifer H. Aldrink et al.

Journal: Cancers

Year: 2024

Quantifying the Risk and Dosimetric Variables of Symptomatic Brainstem Injury after Proton Beam Radiation in Pediatric Brain Tumors

Authors: Rituraj Upadhyay, Kaiping Liao, David R Grosshans, Susan L McGovern, Mary Frances McAleer, Wafik Zaky, Murali M Chintagumpala, Anita Mahajan, Debra Nana Yeboa, Arnold C Paulino

Journal: Neuro-Oncology

Year: 2022

Patterns of Failure after Radiation Therapy in Primary Spinal High-Grade Gliomas: A Single Institutional Analysis

Authors: Rituraj Upadhyay, Swapnil Khose, Halyna Pokhylevych, Arnold C Paulino, Mary Frances McAleer, Amol Ghia, Jing Li, Debra Nana Yeboa, Monica Loghin, Rebecca Harrison et al.

Journal: Neuro-Oncology Advances

Year: 2022

Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

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Mr. Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

Mr. Mohammad Reza Ahangari at ministry of education, Iran

👨‍🎓 Profile

🧠 Early Academic Pursuits

Dr. Mohammad Reza Ahangari’s journey into the realm of mathematics began with his undergraduate studies at Isfahan University of Technology, where he pursued a Bachelor of Applied Mathematics from 2003 to 2008. This foundational education provided him with a solid grounding in mathematical theories and applications. Following his undergraduate studies, Dr. Ahangari continued his academic journey at Azad University in Mashhad, Razavi Khorasan, earning a Master of Applied Mathematics between 2009 and 2012. His master’s program allowed him to delve deeper into complex mathematical concepts and research methodologies. His quest for knowledge did not end there; he embarked on a PhD in Applied Mathematics at Payam-e-Noor University, which he pursued from 2016 to 2024. His doctoral research focused on advanced mathematical models and optimization techniques, further cementing his expertise in the field.

💼 Professional Endeavors

Since September 2009, Dr. Ahangari has been a dedicated Mathematics Teacher with the Ministry of Education in Mashhad, Razavi Khorasan, Iran. Over the past 15 years, he has demonstrated a profound commitment to fostering a positive learning environment. His teaching approach is characterized by innovative lesson plans that cater to diverse learning styles, ensuring that all students have the opportunity to excel. Dr. Ahangari has consistently utilized various teaching methodologies and educational technologies to enhance student engagement and understanding of complex mathematical concepts. His ability to create engaging and effective learning experiences has made him a respected figure in the educational community.

🔬 Contributions and Research Focus

Dr. Ahangari’s research has made significant contributions to the field of applied mathematics. His work includes the development and application of advanced mathematical models and optimization techniques. Notably, he co-authored the paper “A Generalized Optimization-Based Generative Adversarial Network,” published in Expert Systems with Applications in 2024. This research explores innovative approaches to optimization in generative adversarial networks, demonstrating Dr. Ahangari’s expertise in integrating mathematics with cutting-edge technology. Additionally, his work on fuzzy-based structural similarity indices in meteorology, as detailed in his paper “Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology,” showcases his ability to apply mathematical theories to real-world problems. His research contributions reflect a deep understanding of both theoretical and practical aspects of mathematics.

🏆 Accolades and Recognition

Dr. Ahangari’s dedication to mathematics education and research has been recognized through various accolades. He earned his Mathematics Teacher Certification in 2024, a testament to his expertise and commitment to the field. In 2023, he participated in professional development programs focused on advancing mathematics education, further highlighting his commitment to staying at the forefront of educational practices. His research contributions have also been acknowledged through publications in esteemed journals and presentations at significant seminars, such as the 6th Seminar on Control & Optimization in Birjand, Iran.

🌟 Impact and Influence

Dr. Ahangari’s impact on mathematics education extends beyond his teaching role. His innovative curriculum development and creation of interactive learning modules have significantly enhanced the educational experience for his students. His commitment to nurturing critical thinking and problem-solving skills in students has prepared them for future academic and professional challenges. By integrating advanced mathematical concepts with practical applications, Dr. Ahangari has influenced both his students and the broader educational community.

🌱 Legacy and Future Contributions

Looking forward, Dr. Ahangari aims to continue his contributions to both mathematics education and research. His ongoing projects include the development of a comprehensive math curriculum guide and the creation of interactive math learning modules. These initiatives reflect his dedication to enhancing educational resources and methodologies. As he continues to advance his research and educational practices, Dr. Ahangari is poised to leave a lasting legacy in the field of mathematics. His work not only advances mathematical knowledge but also inspires future generations of students and educators.

📖 Publications

Manganese doped La0.8Ba0.2FeO3 perovskite oxide as an efficient electrode material for supercapacitor

    • Authors: Asadi, F., Ahangari, M., Mostafaei, J., Asghari, E., Niaei, A.
    • Journal: Journal of Alloys and Compounds
    • Year: 2024

A generalized optimization-based generative adversarial network

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A., Datta, A.
    • Journal: Expert Systems with Applications
    • Year: 2024

Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A.
    • Journal: Mathematics
    • Year: 2024

Effect of Pd doping on the structural properties and supercapacitor performance of La0.8Sr0.2Cu0.7Mn0.3O3 and La0.8Sr0.2Cu0.4Mn0.6O3 as electrode materials

    • Authors: Ahangari, M., Mostafaei, J., Zakerifar, H., Asghari, E., Niaei, A.
    • Journal: Electrochimica Acta
    • Year: 2023

Machine learning-based life cycle optimization for the carbon dioxide methanation process: Achieving environmental and productivity efficiency

    • Authors: Sayyah, A., Ahangari, M., Mostafaei, J., Nabavi, S.R., Niaei, A.
    • Journal: Journal of Cleaner Production
    • Year: 2023

Investigation of structural and electrochemical properties of SrFexCo1-xO3-δ perovskite oxides as a supercapacitor electrode material

    • Authors: Ahangari, M., Mostafaei, J., Sayyah, A., Delibas, N., Niaei, A.
    • Journal: Journal of Energy Storage
    • Year: 2023

Application of SrFeO3 perovskite as electrode material for supercapacitor and investigation of Co-doping effect on the B-site

    • Authors: Ahangari, M., Mahmoodi, E., Delibaş, N., Asghari, E., Niaei, A.
    • Journal: Turkish Journal of Chemistry
    • Year: 2022

Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

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Dr. Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Doctorate at Infosys/Aspen University, Arizona, United States

Dr. Madan Mohan Tito Ayyalasomayajula is a distinguished professional with a remarkable career in computer science and technology. His extensive background includes significant roles as a Senior Technology Architect, Research Scholar, and Industry Expert. Dr. Tito’s contributions span across academia, industry, and technology innovation, showcasing a profound impact on various domains such as artificial intelligence, machine learning, and system architecture.

Profiles

Scopus Profile
Orcid Profile

🌳Academic Background 

Dr. Ayyalasomayajula is a seasoned technology architect and research scholar with over 20 years of experience in system architecture, cloud technologies, big data, and AI/ML. He holds a Doctor of Science in Computer Science from Aspen University and has contributed extensively to both academia and industry through his work in various roles, including as a Senior Technology Architect at Infosys Ltd., and previously as an Enterprise Architect at Walgreens and Toyota Motors North America.

🎓 Education

Dr. Madan Mohan Tito Ayyalasomayajula holds a Doctor of Science in Computer Science from Aspen University, Phoenix, Arizona (Aug 2019 – May 2024). He completed his Master of Technology in Computer Science & Engineering at Osmania University (2003 – 2005) and his Master of Computer Applications from Osmania University (1998 – 2001). His undergraduate degree, a Bachelor of Science, is from Andhra University (1994 – 1997).

🏅 Memberships

He is a Senior Member of IEEE and IEEE Computer Society, and a member of MIET (The Institute of Engineering & Technology), AET (International Academy of Engineering & Technology), and IACSIT (International Association of Computer Science and Information Technology). Additionally, he is affiliated with IASA Global (International Association for Software Architects), IAENG (International Association of Engineers), and serves as an Editorial Member for ESP Journal of Engineering & Technology Advancements. His memberships extend to IOASD (International Organization for Academic and Scientific Development) and IET – AI TN Committee as a Research Officer, and he is also a Technical Advisory Board Member at Aspen University, Arizona, USA.

💡 Profile

Dr. Tito is a Doctor of Science in Computer Science and a Senior Technology Architect with over 20 years of experience. He is a Research Scholar, Author, and Peer Reviewer, with expertise in building and implementing machine learning models, leveraging natural language processing and computer vision techniques, and applying predictive analytics using AI and ML technologies. His experience spans Architecture, System Analysis, Development, and Project Planning, with notable skills in Azure & AWS cloud technologies, Big Data, IoT, and Advanced Databases.

📰 Media Articles

He has written media articles on topics including the power of machine learning in production, the role of AI in managing big data, and the future of manufacturing with Explainable AI. His other articles discuss AI’s potential in diagnostics and address the skepticism surrounding AI advancements.

🏆 Awards

Dr. Tito has been recognized with the Aegis Graham Bell Award for his work on Revenue Plus and Incremental Revenue Through Incremental Sales (IRIS) products at Mahindra Comviva.

🛠️ Patents

He holds patents for various innovative technologies, including predictive maintenance systems, smart healthcare devices using AI, and early prediction algorithms for kidney diseases.

💼 Work Experience

He has held significant positions at Infosys Ltd. as a Senior Technology Architect, Walgreens / OmTek as an Enterprise Architect, Toyota Motors North America as an Enterprise Cloud Solutions Architect, and Mahindra Comviva as a Principal Architect. His roles have involved delivering digital services, architectural design, system optimization, and leading R&D initiatives across multiple domains.

🎤 Presentations and Exhibitions

Dr. Tito has been a guest speaker and keynote presenter at various conferences and workshops, including GIET University, SR University, and international AI conferences. He has also participated in podcasts and interviews, sharing his expertise on AI and technology.

🏅 Judging

He has served as a judge at numerous science and technology events, including the Ohio State Science Day, Regeneron ISEF, and Technovation for Girls. Additionally, he contributes as a peer reviewer for various scholarly journals and conferences.

🧑‍🏫 Mentorships

Dr. Tito is actively involved in mentoring through platforms such as Mentoring Club, ADPList, and the Global Mentoring Initiative.

📖 Publication

Explainable Artificial Intelligence (XAI) for Emotion Detection
    • Authors: Ayyalasomayajula, M.M.T.; Ayyalasomayajula, S.; Pandey, J.K.
    • Journal/Book: Book chapter in DOI: 10.4018/979-8-3693-4143-8.ch010
    • Year: 2024
Exploring Strategies for Privacy-Preserving Machine Learning in Distributed Environments
    • Authors: Dodda, S.; Kumar, A.; Kamuni, N.; Ayyalasomayajula, M.M.T.
    • Journal/Conference: 3rd International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024)
    • Year: 2024
Implementing Convolutional Neural Networks for Automated Disease Diagnosis in Telemedicine
    • Authors: Ayyalasomayajula, M.M.T.; Tiwari, A.; Arora, R.K.; Khan, S.
    • Journal/Conference: 3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE 2024)
    • Year: 2024
Optimizing Photometric Light Curve Analysis: Evaluating Scipy’s Minimize Function for Eclipse Mapping of Cataclysmic Variables
    • Author: Dr. Madan Mohan Tito Ayyalasomayajula
    • Journal: Journal of Electrical Systems
    • Year: 2024
Reddit Social Media Text Analysis for Depression Prediction: Using Logistic Regression with Enhanced Term Frequency-Inverse Document Frequency Features
    • Authors: Madan Mohan Tito Ayyalasomayajula; Akshay Agarwal; Shahnawaz Khan
    • Journal: International Journal of Electrical and Computer Engineering (IJECE)
    • Year: 2024

Eric Holland | Big Data Analytics | Best Researcher Award

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Prof Dr. Eric Holland, Big Data Analytics, Best Researcher Award

Prof Dr. Eric Holland at Fred Hutch Cancer Center, United States

Professional Profile

Scopus Profile
Google Scholar Profile

🌟 Summary

Eric Charles Holland is a distinguished researcher and academician specializing in neuro-oncology, currently serving as a Professor in the Human Biology Division at the Fred Hutchinson Cancer Research Center in Seattle, WA. With extensive experience spanning clinical practice and translational research, he has made significant contributions to understanding and treating brain tumors.

🎓 Education

Eric Charles Holland pursued an academic journey marked by excellence and dedication to biomedical sciences. He earned his Bachelor of Science degree in Chemistry from Miami University in Oxford, OH, from 1977 to 1981, setting a solid foundation in the fundamentals of chemical sciences. Continuing his academic pursuits, Holland completed his PhD in Biochemistry & Molecular Biology at the University of Chicago from 1981 to 1985, where he engaged deeply in the molecular mechanisms underlying biological processes. Following his PhD, he further expanded his expertise by obtaining an MD in Medicine from Stanford University between 1985 and 1990, thereby integrating clinical insights with his strong research background.

💼 Professional Experience

Eric Charles Holland is a distinguished figure in neuro-oncology with a robust professional trajectory spanning prestigious institutions and significant leadership roles. He currently holds the position of Professor in the Human Biology Division at the Fred Hutchinson Cancer Research Center in Seattle, WA, a role he has held since 2013. Previously, he served as the Director of the Nancy and Buster Alvord Brain Tumor Center at the University of Washington, Seattle, WA, from 2013 to 2019. Prior to that, he was an Attending Surgeon at Memorial Hospital for Cancer and Allied Diseases in New York, NY, from 2006 to 2013, where he also held an Associate Professorship at Cornell University from 2000 to 2006. His career is distinguished by his contributions to advancing neurosurgical techniques and his leadership in multidisciplinary research initiatives aimed at improving treatments for brain tumors.

🔬 Research Interests

Eric Charles Holland is renowned for his pioneering research in neuro-oncology, focusing particularly on gliomas, the most common type of brain tumor. His research spans from basic molecular biology to translational studies aimed at developing innovative therapies. Holland is deeply engaged in understanding the genetic and molecular mechanisms that drive glioma formation and progression, utilizing advanced techniques such as transgenic models to simulate human disease conditions. His work also delves into the complex interactions within the tumor microenvironment and their impact on treatment outcomes. Holland’s interdisciplinary approach integrates molecular biology, genetics, and clinical research, aiming to accelerate the translation of scientific discoveries into effective therapies for patients with brain tumors.

📖 Publication Top Noted

Paper Title: CSF-1R inhibition alters macrophage polarization and blocks glioma progression
    • Authors: Stephanie M Pyonteck, Leila Akkari, Alberto J Schuhmacher, Robert L Bowman, Lisa Sevenich, Daniela F Quail, Oakley C Olson, Marsha L Quick, Jason T Huse, Virginia Teijeiro, Manu Setty, Christina S Leslie, Yoko Oei, Alicia Pedraza, Jianan Zhang, Cameron W Brennan, James C Sutton, Eric C Holland, Dylan Daniel, Johanna A Joyce
    • Journal: Nature medicine
    • Year: 2013
Paper Title: A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticle
    • Authors: Moritz F Kircher, Adam De La Zerda, Jesse V Jokerst, Cristina L Zavaleta, Paul J Kempen, Erik Mittra, Ken Pitter, Ruimin Huang, Carl Campos, Frezghi Habte, Robert Sinclair, Cameron W Brennan, Ingo K Mellinghoff, Eric C Holland, Sanjiv S Gambhir
    • Journal: Lecture Notes in Networks and Systems
    • Year: 2012
    •  citations: 1157
Paper Title: Genomic Analysis of Non-NF2 Meningiomas Reveals Mutations in TRAF7, KLF4, AKT1, and SMO
    • Authors: Victoria E Clark, E Zeynep Erson-Omay, Akdes Serin, Jun Yin, Justin Cotney, Koray Özduman, Timuçin Avşar, Jie Li, Phillip B Murray, Octavian Henegariu, Saliha Yilmaz, Jennifer Moliterno Günel, Geneive Carrión-Grant, Baran Yılmaz, Conor Grady, Bahattin Tanrıkulu, Mehmet Bakırcıoğlu, Hande Kaymakçalan, Ahmet Okay Caglayan, Leman Sencar, Emre Ceyhun, A Fatih Atik, Yaşar Bayri, Hanwen Bai, Luis E Kolb, Ryan M Hebert, S Bulent Omay, Ketu Mishra-Gorur, Murim Choi, John D Overton, Eric C Holland, Shrikant Mane, Matthew W State, Kaya Bilgüvar, Joachim M Baehring, Philip H Gutin, Joseph M Piepmeier, Alexander Vortmeyer, Cameron W Brennan, M Necmettin Pamir, Türker Kılıç, Richard P Lifton, James P Noonan, Katsuhito Yasuno, Murat Günel
    • Journal: Science
    • Year: 2013
    •  citations: 856
Paper Title: The PTEN-regulating microRNA miR-26a is amplified in high-grade glioma and facilitates gliomagenesis in vivo
    • Authors:Jason T Huse, Cameron Brennan, Dolores Hambardzumyan, Boyoung Wee, John Pena, Sara H Rouhanifard, Cherin Sohn-Lee, Carlos Le Sage, Reuven Agami, Thomas Tuschl, Eric C Holland
    • Journal: Proceedings of the National Academy of Sciences
    • Year: 2009
    •  citations: 664
Paper Title: Intratumoral heterogeneity of receptor tyrosine kinases EGFR and PDGFRA amplification in glioblastoma defines subpopulations with distinct growth factor response
  • Authors: Nicholas J Szerlip, Alicia Pedraza, Debyani Chakravarty, Mohammad Azim, Jeremy McGuire, Yuqiang Fang, Tatsuya Ozawa, Eric C Holland, Jason T Huse, Suresh Jhanwar, Margaret A Leversha, Tom Mikkelsen, Cameron W Brennan
  • Journal: Proceedings of the National Academy of Sciences
  • Year: 2012
  •  citations: 611

Serena Nik-Zainal | Big Data Analytics | Best Researcher Award

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Prof. Serena Nik-Zainal, Big Data Analytics, Best Researcher Award

Professor at University of Cambridge, United Kingdom

Professional Profile

Google Scholar Profile
Orcid Profile

🎓 Education 

  • University of Cambridge
    • B.A. (hons) – First, Physiology, 1998
    • M.B., B.Chir., Medicine/Surgery, 2000
  • Royal College of Physicians
    • M.R.C.P., Medicine, 2003
  • Wellcome Trust Sanger Institute
    • Ph.D., Cancer Genomics, 2012
  • Royal College of Physicians Specialist Register
    • Certification, Clinical Genetics, 2013

🌟 Personal Statement 

After earning a first-class degree in preclinical science and a medical degree from the University of Cambridge, sponsored by Petroliam Nasional Berhad Malaysia (PETRONAS) and as a Fellow of the Cambridge Commonwealth Trust, I specialized in Clinical Genetics. I have been an Honorary Consultant in Clinical Genetics at Cambridge University Hospitals NHS Foundation Trust since February 2013. My Ph.D. at the Wellcome Sanger Institute in 2012 focused on using next-generation sequencing (NGS) technology to explore cancer, leading to significant advancements in understanding tumor biology and mutational signatures. My current research integrates computational and experimental approaches to advance cancer genomics, developing machine-learning-based clinical algorithms and participating in large-scale projects like the UK 100,000 Genomes Project.

🏢 Positions and Honors 

Positions and Employment

  • Medical Student, University of Cambridge (1995-2000)
  • Pre-registration House Officer, East Anglian Deanery (2001-2002)
  • Senior House Officer, Medicine, East Anglian Deanery (2002-2004)
  • Specialist Registrar in Clinical Genetics, East Anglian Deanery (2004-2009)
  • Wellcome Clinical Research Training Fellow, Wellcome Sanger Institute (2009-2012)
  • Specialist Registrar in Clinical Genetics, East Anglian Deanery (2012-2013)
  • Wellcome Intermediate Clinical Research Training Fellow, Wellcome Sanger Institute (2013-2017)
  • Career Development Fellow, Wellcome Sanger Institute (2014-2017)
  • CRUK Advanced Clinician Scientist, University of Cambridge (2017-2021)
  • NIHR Research Professor of Genomic Medicine and Bioinformatics, University of Cambridge (2021-present)

Professional Memberships and Other Experience

  • Member, British Society of Genetic Medicine (2013-present)
  • EACR Ambassador (2015-present)
  • Member, Various Scientific Advisory Boards and Committees (2017-present)
  • Honorary NHS Consultant in Clinical Genetics, Cambridge University Hospital (2013-present)

Honors

  • Fellow of the Academy of Medical Sciences UK (2023)
  • Foulkes Foundation Medal UK (2021)
  • Sir Francis Crick Medal and Lecture from the Royal Society UK (2021)
  • Highly-Cited Researcher’s List Clarivate (2020)
  • EMBO Elected Fellow (2020)
  • Dr Josef Steiner Cancer Research Award (2019)
  • CRUK Pioneer Award (2016)
  • William Bate Hardy Prize (2014)
  • CRUK Future Leaders Prize (2014)
  • Wellcome-Beit Prize (2013)
  • AACR Scholar-in-training Award (2013)
  • EACR Susan G. Komen Prize (2012)
  • Robin Winter Prize (2012)

📚 Research Support 

Ongoing Research Support

  • NHSE Driver Project (Jan 2023-Mar 2024)
  • Breast Cancer Research Foundation (Oct 2022-ongoing)
  • CRUK/NIH Grand Challenge eDyNAmic (Jun 2022-May 2027)
  • UKRI DARE Sprint Exemplar (Jan 2022-Oct 2022)
  • NIHR Research Professorship (Dec 2021-Nov 2026)
  • Basser Gray Foundation Award (Dec 2020-Nov 2024)
  • Josef Steiner Award (Jun 2019-May 2023)

Completed Research Support

  • CRUK Early Detection Project Award (Jun 2019-May 2023)
  • CRUK Grand Challenge Award (May 2017-Apr 2024)
  • CRUK Advanced Clinician Scientist Award (Feb 2017-Oct 2022)
  • CRUK Pioneer Award (Oct 2016-Nov 2020)
  • Wellcome Trust Strategic Award (Sept 2013-July 2019)
  • Wellcome-Beit Prize (May 2013-May 2018)
  • Wellcome Intermediate Clinical Research Fellowship (Feb 2013-Jan 2017)

Beyond science, I have shared insights on women in STEM and my journey as a physician-scientist through essays in renowned journals.

📖 Publication Top Noted:

Paper Title: The patterns and dynamics of genomic instability in metastatic pancreatic cancer
  • Authors: Peter J Campbell, Shinichi Yachida, Laura J Mudie, Philip J Stephens, Erin D Pleasance, Lucy A Stebbings, Laura A Morsberger, Calli Latimer, Stuart McLaren, Meng-Lay Lin, David J McBride, Ignacio Varela, Serena A Nik-Zainal, Catherine Leroy, Mingming Jia, Andrew Menzies, Adam P Butler, Jon W Teague, Constance A Griffin, John Burton, Harold Swerdlow, Michael A Quail, Michael R Stratton, Christine Iacobuzio-Donahue, P Andrew Futreal
  • Journal: Nature
  • Year:  2010
  • citations: 1560
Paper Title: Pan-cancer analysis of whole genomes
  • Authors: Dendy Adanta, Imam Syofii, Dewi Puspita Sari, Apri Wiyono
  • Journal: Nature
  • Year:  2020
  •  citations: 1736
Paper Title: Mutational signatures associated with tobacco smoking in human cancer
  • Authors:Ludmil B Alexandrov, Young Seok Ju, Kerstin Haase, Peter Van Loo, Iñigo Martincorena, Serena Nik-Zainal, Yasushi Totoki, Akihiro Fujimoto, Hidewaki Nakagawa, Tatsuhiro Shibata, Peter J Campbell, Paolo Vineis, David H Phillips, Michael R Stratton
  • Journal: Science
  • Year:  2016
  •  citations: 1034
Paper Title: Clock-like mutational processes in human somatic cells
  • Authors: Ludmil B Alexandrov, Philip H Jones, David C Wedge, Julian E Sale, Peter J Campbell, Serena Nik-Zainal, Michael R Stratton
  • Journal: Nature genetics
  • Year:  2015
  •  citations: 990
Paper Title: Heterogeneity of genomic evolution and mutational profiles in multiple myeloma
  • Authors: Niccolo Bolli, Hervé Avet-Loiseau, David C Wedge, Peter Van Loo, Ludmil B Alexandrov, Inigo Martincorena, Kevin J Dawson, Francesco Iorio, Serena Nik-Zainal, Graham R Bignell, Jonathan W Hinton, Yilong Li, Jose MC Tubio, Stuart McLaren, Sarah O’Meara, Adam P Butler, Jon W Teague, Laura Mudie, Elizabeth Anderson, Naim Rashid, Yu-Tzu Tai, Masood A Shammas, Adam S Sperling, Mariateresa Fulciniti, Paul G Richardson, Giovanni Parmigiani, Florence Magrangeas, Stephane Minvielle, Philippe Moreau, Michel Attal, Thierry Facon, P Andrew Futreal, Kenneth C Anderson, Peter J Campbell, Nikhil C Munshi
  • Journal: Nature communications
  • Year: 2014
  •  citations: 963

Nadia Dominici – Big Data Analytics – Best Researcher Award 

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Dr. Nadia Dominici - Big Data Analytics - Best Researcher Award 

Vrije universitiet Amsterdam - Netherlands

Author Profile

Early Academic Pursuits

Dr. Nadia Dominici's academic journey reflects a profound commitment to understanding the intricacies of human movement sciences. Beginning with her undergraduate studies in Physics at the University of Rome "La Sapienza," her fascination with the mechanics of motion laid the foundation for her future endeavors. This background equipped her with a solid understanding of fundamental principles, which she later applied to her doctoral studies in Neuroscience at the University of Rome "Tor Vergata." Here, she delved into the neurophysiology of locomotor development in children, a pivotal area that would shape her career trajectory.

Professional Endeavors

Dominici's professional journey is marked by a series of strategic moves, each contributing to her expertise in human movement sciences. Her postdoctoral fellowships at esteemed institutions such as the Swiss Federal Institute of Technology Lausanne (EPFL) and the University of Zurich allowed her to collaborate with leading experts in the field, including Professors G. Courtine and F. Lacquaniti. These experiences broadened her perspective and honed her skills, preparing her for roles as a Senior Research Fellow and Assistant Professor at the Vrije Universiteit Amsterdam.

Contributions and Research Focus

Dominici's research focus is centered on unraveling the complexities of human locomotion, particularly in developmental stages. Her seminal work has contributed significantly to understanding the neural mechanisms underlying walking, from toddlers' first steps to the rehabilitation of individuals with neurological disorders. Her interdisciplinary approach, combining neuroscience, biomechanics, and physiology, has yielded groundbreaking insights into motor control and rehabilitation strategies.

Accolades and Recognition

Dominici's contributions to the field have been recognized through numerous awards and honors. Notably, she received the Suzanne Klein-Vogelbach Prize for the Research of Human Movement and the IgNobel Prize in Physics for her groundbreaking discoveries. These accolades underscore the significance of her research and its impact on both scientific and public discourse.

Impact and Influence

Dominici's work has had a profound impact on the field of human movement sciences, shaping our understanding of locomotor development and rehabilitation. Her innovative approaches have inspired researchers worldwide, fostering collaborations and driving advancements in neurorehabilitation. Through her mentorship and academic supervision, she continues to cultivate the next generation of scientists, ensuring a legacy of excellence and innovation.

Legacy and Future Contributions

As a Visiting Professor at New York University and an Associate Professor at Vrije Universiteit Amsterdam, Dominici remains at the forefront of research in human movement sciences. Her ongoing projects, including involvement in prestigious grants and supervisory roles, attest to her enduring commitment to advancing knowledge in the field. With a legacy built on curiosity, collaboration, and excellence, Dominici's future contributions are poised to further revolutionize our understanding of human locomotion and its implications for health and rehabilitation.

Notable Publication