Paraskumar Patel – Data Analytics and Engineering – Global Data Innovation Recognition Award 

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Mr. Paraskumar Patel - Data Analytics and Engineering - Global Data Innovation Recognition Award 

Fractal.ai - United States

Author Profile

Early Academic Pursuits

Mr. Paraskumar Patel embarked on his academic journey with a Bachelor of Technology in Chemical Engineering from Dharmsinh Desai University, India. This foundational education provided him with a strong background in engineering principles and analytical thinking. Subsequently, he pursued a Master of Chemical Engineering from Carnegie Mellon University, USA, further honing his expertise in the field.

Building upon his engineering background, Patel expanded his academic horizons with a Master of Science in Information Technology from the University of the Cumberlands, USA. This interdisciplinary education equipped him with the necessary skills to bridge the gap between technology and engineering, laying the groundwork for his future endeavors in data engineering and analytics.

Professional Endeavors

Mr. Paraskumar Patel's professional journey is marked by a series of impactful roles in prominent organizations. As a Software Engineer at CCS Global Tech, he demonstrated leadership and technical prowess by spearheading projects for Advantasure, a healthcare company. Patel's contributions led to a 15% improvement in team performance, underscoring his ability to drive results and foster collaboration.

Transitioning to Fractal.ai as a Senior Data Engineer, Patel continued to excel, leveraging his expertise to deliver innovative data solutions for clients across various industries. His work with clients such as USAA, Suncor, Humana, Microsoft, and PepsiCo showcased his versatility and adaptability in addressing diverse business challenges.

Contributions and Research Focus

Mr. Patel's contributions extend beyond his professional endeavors, with a notable presence in academia. As an accomplished author, he has published several papers in respected journals, focusing on advanced data visualization, data engineering challenges, and privacy-preserving techniques in analytics. His research not only demonstrates thought leadership but also contributes to the advancement of knowledge in the field of data science and engineering.

Accolades and Recognition

Throughout his career, Paraskumar Patel has garnered recognition for his contributions and achievements. His impactful work has been acknowledged by both peers and industry experts, cementing his reputation as a leader in the field of data engineering. Whether it's leading teams to success, delivering high-impact solutions for clients, or advancing research in academia, Patel's accomplishments have not gone unnoticed.

Impact and Influence

Mr. Paraskumar Patel's work has had a profound impact on the organizations he has been a part of, driving operational efficiencies, enhancing data accessibility, and fostering data-centric cultures. Through his leadership and technical expertise, he has empowered teams to deliver innovative solutions that drive business success and enable data-driven decision-making.

Legacy and Future Contributions

As Paraskumar Patel continues to make strides in his career, his legacy is one of excellence and innovation in the field of data engineering. His commitment to continuous learning, problem-solving, and collaboration sets a precedent for future generations of data professionals. Moving forward, he aims to further expand his contributions to academia and industry, shaping the future of data science and engineering through his research, leadership, and advocacy for ethical and responsible data practices.

Notable Publication

 

Marcelo Ang – Machine Learning and AI Applications – Best Researcher Award 

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Prof Dr. Marcelo Ang - Machine Learning and AI Applications - Best Researcher Award 

National University of Singapore - Singapore

Author Profile

Early Academic Pursuits

Prof Dr. Marcelo H. Ang Jr.'s academic journey is marked by impressive scholarly achievements beginning with his education in the Philippines at De La Salle University, where he earned dual Cum Laude honors in Mechanical Engineering and Industrial Management Engineering in 1981. His pursuit of higher education led him to the University of Hawaii at Manoa, where he obtained an M.S. in Mechanical Engineering with a focus on the application of robotics in agriculture, specifically sugarcane propagation. He furthered his studies at the University of Rochester, earning both an M.S. and a Ph.D. in Electrical Engineering, with research focused on robotic manipulators—a foundational area that would define much of his future work.

Professional Endeavors and Contributions

Prof Dr. Marcelo H. Ang Jr. has had a distinguished career at the National University of Singapore (NUS), where he has held multiple leadership roles, including Director of the Advanced Robotics Center and Professor in the Department of Mechanical Engineering. His career began as an assistant professor at the University of Rochester before returning to Asia to shape Singapore's engineering and robotics landscape. Over the years, Ang has been instrumental in developing several academic programs at NUS, enhancing the university’s educational offerings significantly in the areas of robotics, mechatronics, and technology management.

Research Focus

Prof Dr. Ang's research interests are broad yet focused on critical areas of robotics and intelligent systems that include mobile robotic manipulation in unstructured environments, compliant motion and force control, self-driving vehicles, and distributed autonomous robotics systems. His work often employs advanced computational methods like deep learning, genetic algorithms, and fuzzy reasoning. These research endeavors aim not only to advance the theoretical aspects of robotics but also to find practical applications that enhance industrial productivity and everyday life.

Accolades and Recognition

Throughout his career, Ang has received numerous accolades that recognize his contributions to both academia and industry. These include the prestigious Capek Award for his contributions to the development and practical application of robotics and the Andrew P. Sage Best Transactions Paper Award from the IEEE Transactions on Systems, Man, and Cybernetics. His achievements are a testament to his leadership in the field and his commitment to advancing robotics technology and education globally.

Impact and Influence

Prof Dr. Ang's influence extends beyond academia into professional and societal contributions in the field of robotics. He has served as President of the International Steering Committee of the World Robot Olympiad, demonstrating his commitment to promoting robotics education worldwide. His work has not only shaped research and development strategies at NUS but has also influenced national and international robotics policies and initiatives.

Legacy and Future Contributions

Looking forward, Ang continues to shape the future of robotics with his involvement in developing new academic programs like the BEng in Intelligent Machines and an MSc in Robotics. His ongoing research and educational initiatives are likely to inspire the next generation of engineers and roboticists. Ang's legacy is that of a pioneer in robotics education and research, having laid down a robust framework for future exploration and innovation in the field. His continued efforts in advancing robotics technology promise further contributions that aim to solve real-world problems through innovative solutions.

Marcelo H. Ang Jr.’s career embodies a lifelong dedication to education, innovation, and the practical application of robotics technology in society. His contributions have not only been recognized through various awards but have also had a tangible impact on the engineering and robotics communities globally. As he continues to drive forward in his field, his work is set to inspire and shape future developments in robotics and automation.

Citations

A total of 131 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    11471
  • h-index        51
  • i10-index     82

Notable Publication

 

Snehashis Majhi – Computer Vision – Best Researcher Award

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Mr. Snehashis Majhi - Computer Vision - Best Researcher Award 

Institut National de Recherche en Informatique et en Automatique - France

Author Profile

Early Academic Pursuits

Mr. Snehashis Majhi embarked on his academic journey with a Bachelor of Technology in Computer Science and Engineering from the National Institute of Science and Technology, Berhampur, India. During this time, he delved into the realm of computer vision with his thesis titled "Design and Development of CBIR system using Classification Confidence," under the guidance of Dr. Jatindra Kumar Dash. This early exposure laid the foundation for his future endeavors in research and development.

Professional Endeavors

Mr. Majhi's professional journey commenced with an internship at INRIA, Sophia Antipolis Cedex BP 93, France, where he contributed to the development of a deep learning pipeline for human activity detection in smart home scenarios. This experience provided him with practical insights into real-world applications of deep learning technologies.

Following his internship, Majhi ventured into the field of glaucoma detection during his tenure as a Research Fellow at MNIT Jaipur, India. Here, he developed a deep convolutional neural network for detecting glaucoma diseases in fundus images, showcasing his versatility in applying deep learning techniques to healthcare domains.

Currently serving as a Research Scholar at INRIA Sophia Antipolis, France, Majhi's primary focus lies in developing human-scene centric video abnormality detection methods for smart-city surveillance systems. His research involves collaboration with Toyota Motor Europe and Woven Planet, demonstrating his ability to work on interdisciplinary projects with industry partners.

Contributions and Research Focus

Mr. Majhi's research contributions span various aspects of computer vision and deep learning. Noteworthy among his works is the development of the Human-Scene Network (HSN) and the Outlier-Embedded Cross Temporal Scale Transformer (OE-CTST) for video anomaly detection. These innovations address critical challenges in surveillance systems, showcasing Majhi's expertise in designing novel architectures and algorithms for complex tasks.

His research endeavors also encompass weakly-supervised learning techniques and optimization methods tailored for anomaly detection, underscoring his commitment to advancing the state-of-the-art in video analysis.

Accolades and Recognition

Mr. Majhi's contributions have been recognized through publications in reputable conferences and journals, including IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and International Conference on Neural Information Processing (ICONIP). His papers have received commendable rankings, reflecting the significance and impact of his research in the scientific community.

Impact and Influence

Through his research and academic pursuits, Mr. Majhi has made significant contributions to the fields of computer vision and machine learning. His innovative approaches to video anomaly detection have the potential to enhance surveillance systems' effectiveness, thereby contributing to the advancement of public safety and security measures.

Legacy and Future Contributions

Mr. Majhi's legacy lies in his pioneering work in video anomaly detection and deep learning applications. His research serves as a stepping stone for future advancements in smart-city surveillance, healthcare diagnostics, and beyond. As he continues his academic and professional journey, Majhi is poised to make further contributions to the field, driving innovation and addressing societal challenges through cutting-edge technologies.

Citations

  • Citations   97
  • h-index       5
  • i10-index   4

Notable Publication

 

Mahmood ul Hassan | Best Researcher Award | Machine Learning Applications

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Mahmood ul Hassan - Najran University - Machine Learning Applications🏆

Assist Prof Dr Mahmood ul Hassan : Machine Learning Applications

Professional profile

Early Academic Pursuits

Dr. Mahmood ul Hassan embarked on his academic journey with a solid foundation in computer science. He pursued his Bachelor's in Computer Science (BS) from Hazara University, Pakistan, where he showcased exceptional dedication by securing a CGPA of 3.63/4.00. Following this, he further honed his skills by completing his Master's in Computer Science (MS) from COMSATS University, Abbottabad, Pakistan, achieving an impressive CGPA of 3.5/4.00. His passion for study research and advanced led him to pursue a Ph.D. in Computer Science from IIC University of Technology in Phnom Penh, Kingdom of Cambodia, where he secured a notable CGPA of 3.78/4.00.

Professional Endeavors

With over 13 years of teaching experience, Dr. Mahmood ul Hassan has carved a niche for himself in academia. His roles span from being a PhD Supervisor at IIC University of Technology in Cambodia to holding significant positions as an Assistant Professor at various institutions, including Najran University and University College of Alwajh - Tabuk University. He has also taken on leadership roles as the Head of Department at Al Jouf University in Saudi Arabia. Throughout his career, Dr. Hassan has exhibited excellence in academic planning, research governance, and quality management.

Contributions and Research Focus

Dr. Mahmood ul Hassan's research contributions are both prolific and impactful. He has authored numerous papers published in renowned journals like IEEE Access, Sensors, and Computer Systems Science and Engineering. His research primarily focuses on cutting-edge areas such as wireless sensor networks, artificial intelligence, image processing, and mobile cloud computing. His work on topics like connectivity restoration in wireless sensor networks and object recognition techniques using genetic algorithms and machine learning stands testament to his expertise and dedication to advancing the field.

Accolades and Recognition

Dr. Hassan's contributions to the field have not gone unnoticed. His publications have appeared in high-impact factor journals, garnering recognition from the academic community. Notably, his research papers have been cited by peers, and his expertise in areas like connectivity restoration techniques and object recognition has been acknowledged globally. Furthermore, his projects, such as the "Artificial Neural Network-Based Intelligent Secure Routing Protocol in Vehicular Ad Hoc Networks," have received funding and support, highlighting the importance and potential impact of his work.

Impact and Influence

Dr. Mahmood ul Hassan's work has had a significant impact on the academic and research community. His research findings have contributed to advancing knowledge in critical areas of computer science, leading to improvements in wireless sensor networks, artificial intelligence applications, and image processing techniques. His teaching and mentorship roles have also shaped the next generation of computer scientists, fostering innovation, critical thinking, and excellence.

Legacy and Future Contributions

As a seasoned academician and researcher, Dr. Hassan's legacy is characterized by a relentless pursuit of knowledge, innovation, and excellence. His contributions to the field of computer science, particularly in areas like wireless sensor networks and artificial intelligence, will continue to inspire future generations. Moving forward, Dr. Mahmood ul Hassan aims to delve deeper into emerging technologies, mentor aspiring researchers, and collaborate on interdisciplinary projects that solve real-world challenges. His vision for the future is rooted in innovation, collaboration, and making meaningful contributions to the ever-evolving landscape of computer science.

Notable Publication

Sheraz Aslam | Best Researcher Award | Machine Learning Applications

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 Sheraz Aslam - Cyprus University of Technology - Machine Learning Applications🏆

Dr Sheraz Aslam : Machine Learning Applications

Professional profile:

Early Academic Pursuits

Dr. Sheraz Aslam began his academic journey by obtaining a BS in Commerce and IT from Punjab University Lahore, Pakistan, from 2010 to 2013. Following this, he pursued an MSc in Computer Science from Bahaudin Zakirya University, Multan, Pakistan, between 2013 and 2015. Furthering his educational qualifications, he completed a Diploma in Education (B.ed) from Government College University, Faisalabad, Pakistan, in 2015-2016. His pursuit of excellence led him to achieve an M.Sc. in Computer Science from COMSATS University, Islamabad, Pakistan, between 2016 and 2018. Ultimately, he capped off his academic achievements with a Ph.D. in Computer Engineering and Informatics from Cyprus University of Technology (CUT) between 2019 and 2022.

Professional Endeavors

Dr. Aslam's professional journey has been marked by significant contributions in the realm of computer science and engineering. He has held multiple roles in esteemed institutions and research laboratories. He started as a Lecturer at the Computer Science Department of Jinah Muslim College, Islamabad, Pakistan, between 2015 and 2016. Later, he served as a Research Associate at COMSATS University Islamabad and collaborated with Dr. Nadeem Javaid. His international exposure expanded when he joined the Information Technology University (ITU) in Lahore, Pakistan, as a Research Associate in 2018. Since then, he has been associated with the Cyprus University of Technology (CUT) in various capacities, including as a Teaching Assistant, Research Associate, Post-doc Researcher, and currently as a Lecturer.

Contributions and Research Focus

Dr. Aslam's research focus predominantly revolves around the optimization of seaside operations in smart ports, computational intelligence approaches, and advanced data processing systems. His significant contributions include several publications in reputable journals, such as articles on energy reports, deep learning algorithms, and marine science and engineering. He has been at the forefront of projects like aerOS, MARI-Sense, and STEAM, showcasing his expertise in designing and implementing innovative solutions for port management, maritime cognitive decision support systems, and IoT edge-cloud continuum.

Accolades and Recognition

Being a member of IEEE and holding a Ph.D. demonstrates Dr. Aslam's recognition in the academic and professional community. His contributions have been acknowledged through various grants and projects funded by European bodies and national institutions. His involvement in projects like aerOS, MARI-Sense, and STEAM further underscores his recognition as a leading expert in his field.

Impact and Influence

Dr. Aslam's work has made a significant impact on the fields of computer engineering, informatics, and maritime operations. His research publications, project leadership, and academic contributions have contributed to advancements in smart port technologies, IoT edge-cloud continuum, and maritime cognitive decision support systems. His collaborative endeavors with international research teams and institutions have further expanded his influence and the reach of his work globally.

Legacy and Future Contributions

Dr. Aslam's legacy is characterized by his relentless pursuit of excellence in research, teaching, and project leadership. His focus on optimizing seaside operations in smart ports and advancing computational intelligence approaches sets the stage for future innovations in maritime technologies. As he continues to contribute to academic research, mentorship, and project leadership, Dr. Aslam is poised to leave a lasting legacy in the fields of computer engineering, informatics, and maritime operations. His future contributions are eagerly anticipated, given his track record of excellence and commitment to advancing knowledge and technology in his areas of expertise.

Notable Publication

Citations:

A total of 1947 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :1947
  • h-index         :22
  • Documents  :36