Razia Sulthana Abdul Kareem – building customised new deep learning algorithms – Best Researcher Award 

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Dr Razia Sulthana Abdul Kareem - building customised new deep learning algorithms - Best Researcher Award 

University of Greenwich - United Kingdom 

Author Profile

Early Academic Pursuits

Dr. Razia Sulthana Abdul Kareem embarked on her academic journey with a Bachelor of Technology in Information Technology, where she showcased exemplary prowess by earning the title of GOLD MEDALIST. She further fortified her academic credentials with a Master of Engineering in Computer Science and Engineering, once again securing the prestigious GOLD MEDALIST accolade. Her pursuit of knowledge didn't stop there; she pursued an MBA in Systems, underscoring her interdisciplinary approach to technology. Driven by a passion for research, she culminated her academic endeavors with a Doctorate in Computer Science and Engineering.

Professional Endeavors

Dr. Razia's professional trajectory spans over 11 years, primarily devoted to imparting knowledge as a Senior Lecturer in Computer Science. She has a knack for delivering interdisciplinary courses tailored for undergraduate and postgraduate students. Her academic stints extend across geographies, including India, Dubai, and the UK, reflecting her global academic footprint.

Contributions and Research Focus

Specializing in Machine Learning and Deep Learning algorithms, Dr. Razia's research endeavors resonate with contemporary challenges. She has ardently delved into the realms of Computational Intelligence, Artificial Intelligence, and Neural Computing. A significant pivot in her research journey involves aligning her work with the United Nations' Sustainable Development Goals, particularly targeting poverty alleviation through agricultural innovation. Collaborative projects with the Natural Resources Institute at the University of Greenwich underscore her commitment to real-world impact, focusing on agricultural challenges like weed identification and fungal infection detection.

Accolades and Recognition

Dr. Razia's academic and research prowess has garnered her several accolades, including the "Best Teacher Award" for pivotal courses like Data Structure and Algorithms, Machine Learning, and Data Analytics. Her initiative in launching the Machine Learning course at Birla Institute of Technology, Dubai, stands testament to her pedagogical innovations, earning her the "Best Faculty Award." Additionally, she has been recognized as the "Best Student Counselor" in both India and Dubai, emphasizing her holistic contribution to academia.

Impact and Influence

With an H-index of 7 and a cumulative impact factor of approximately 24 over the last three years, Dr. Razia's scholarly contributions resonate globally. Her research publications in renowned indices like SCI, SCIE, Scopus, and Web of Science underscore her scholarly impact. Furthermore, her collaborations, totaling 10 joint publications and projects, reflect her expansive academic network and influence.

Legacy and Future Contributions

Dr. Razia Sulthana Abdul Kareem's legacy is characterized by a relentless pursuit of academic excellence, interdisciplinary research, and impactful contributions to society. Her future endeavors are poised to expand upon her existing research frameworks, leveraging AI and machine learning to address pressing environmental and societal challenges. As she continues to mentor the next generation of scholars and innovators, her legacy will undoubtedly transcend academic boundaries, leaving an indelible mark on the realms of Computer Science and Artificial Intelligence.

Notable Publication 

Chengjie Sun – Natural Lanauage processing – Best Researcher Award 

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Assoc Prof Dr Chengjie Sun - Natural Lanauage processing - Best Researcher Award 

Harbin Institute of Technology - China

Author Profile:

Early Academic Pursuits

Assoc Prof Dr Chengjie Sun began his academic journey at Yantai University, where he pursued a Bachelor's degree in Computer Science and Technology from 1998 to 2002. Subsequently, he continued his education at Harbin Institute of Technology, achieving a Master's degree in Computer Science and Technology from 2002 to 2004. Later, he furthered his academic pursuits at the same institute, obtaining his Doctorate in Computer Application Technology from 2004 to 2008.

Professional Endeavors

After completing his doctoral studies, Assoc Prof Dr Chengjie Sun embarked on an illustrious professional journey. He joined the Harbin Institute of Technology's School of Computer Science and Technology as a Lecturer from January 2009 to December 2014. In 2013, he expanded his academic horizons by serving as a Visiting Scholar at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL). Since January 2015, he has held the position of Associate Professor at the Harbin Institute of Technology.

Additionally, Assoc Prof Dr Chengjie Sun enriched his professional experience by collaborating with renowned institutions and organizations. He served as a Visiting Scholar at Microsoft Research Asia's Natural Language Computing Group from September 2011 to July 2012.

Contributions and Research Focus

Assoc Prof Dr Chengjie Sun's research interests primarily revolve around natural language processing technologies and their applications, recommender systems, and machine learning. His scholarly contributions encompass a wide range of topics, including offensive message identification, explainable dialogue systems, fake news detection, response generation, user modeling, and named entity recognition, among others. Through his extensive peer-reviewed publications in reputable journals and conferences, Chengjie Sun has significantly advanced the field of computer science and technology.

Accolades and Recognition

Assoc Prof Dr Chengjie Sun's exemplary contributions to academia have earned him prestigious accolades and recognition. In 2011, he received the First Prize of the Heilongjiang Science and Technology Award for his work on Sentence Level Pinyin Input Method in a Network Environment. His research endeavors and innovative approaches have consistently garnered acknowledgment from peers and experts in the field.

Impact and Influence

Assoc Prof Dr Chengjie Sun's research and teaching endeavors have had a profound impact on the academic community and industry alike. His publications in leading journals and conferences have contributed to the advancement of natural language processing, machine learning, and recommender systems. Furthermore, his collaborative efforts with esteemed institutions and professional memberships have facilitated knowledge exchange and interdisciplinary collaborations, fostering innovation and growth in the field.

Legacy and Future Contributions

As an Associate Professor at the Harbin Institute of Technology, Chengjie Sun continues to inspire and mentor future generations of computer scientists and researchers. His dedication to advancing knowledge and fostering excellence in research and teaching serves as a testament to his commitment to the academic community. Moving forward, Chengjie Sun's ongoing research endeavors and contributions are poised to shape the future of natural language processing technologies, recommender systems, and machine learning, leaving a lasting legacy in the field.

Citations

Notable Publication 

 

 

Pushpa-Medical Image Processing, Biomedical Engineering-Best Researcher Award

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Author Profile

Google Scholar

Early Academic Pursuits

Mrs. Pushpa B embarked on her academic journey with a Bachelor's in Electronics and Instrumentation from St. Peter’s Engineering College, affiliated with Anna University, in 2007. Her dedication to the field was evident as she secured a commendable 73%. Building upon this foundation, she pursued an M.Tech in Electronics and Control from SRM University, Chennai, where she achieved a CGPA of 6.99 in 2010. The continuous academic excellence led her to undertake an MBA in Health Service Management from Anna University in 2023. Currently, she is on the verge of completing her Ph.D. in Medical Image Processing & Artificial Intelligence from Annamalai University, with her thesis submitted.

Professional Endeavors

With an illustrious academic background, Mrs. Pushpa B transitioned into academia, where she has made significant contributions. She held the position of Assistant Professor in various esteemed institutions such as B.S. Abdur Rahman Crescent Institute of Science and Technology and Velammal Institute of Technology. During her tenure, she shouldered numerous responsibilities, including curriculum development, university department audit coordination, and acting as a placement coordinator.

Contributions and Research Focus

Mrs. Pushpa B's expertise spans across diverse fields, including Analog Electronic Circuits, Digital Signal Processing, Machine Learning, and more. Her research primarily revolves around Medical Image Processing, Artificial Intelligence, and Bio-medical Instrumentation. Notably, she has undertaken projects like "Detection of Startle Type Epilepsy using Machine Learning Technique" at Global Medical Hospital, Chennai. Her research is widely recognized, with numerous international and national publications and conference presentations to her credit.

Accolades and Recognition

Mrs. Pushpa B's contributions to the academic and research communities have garnered her several accolades. She has published patents, notably one on "Intelligent estimation of liver fat and its stages by using DICOM." Furthermore, her publications in renowned journals like Technology and Health Care and Measurement Sensors, among others, testify to her expertise and recognition in her field.

Impact and Influence

Mrs. Pushpa B's influence extends beyond her academic and research endeavors. She has organized workshops, training programs, and conferences that have facilitated knowledge dissemination and skill enhancement for students, faculty, and industry professionals alike. Her expertise as a reviewer for esteemed platforms like Taylor & FrancisOnline, Elsevier, and IEEE Xplore further amplifies her impact in the scholarly community.

Legacy and Future Contributions

As a dedicated academician and researcher, Mrs. Pushpa B's legacy is marked by her commitment to advancing knowledge in her specialized domains. Her future contributions are anticipated to further bridge the gap between technology and healthcare, particularly in leveraging AI and machine learning techniques for enhanced medical diagnostics and treatments. With her relentless pursuit of excellence, she is poised to inspire future generations of researchers and academicians in the realms of Medical Image Processing and Artificial Intelligence.

In conclusion, Mrs. Pushpa B's academic pursuits, professional endeavors, and contributions to the field of Medical Image Processing and Artificial Intelligence stand as a testament to her passion, expertise, and commitment. Her multifaceted accomplishments underscore her potential to drive significant advancements and make lasting contributions to academia and healthcare.

NOTABLE PUBLICATION