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

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

 

Marjaana Siivola – Virtual Reality Analytics – Best Researcher Award

Mrs. Marjaana Siivola - Virtual Reality Analytics - Best Researcher Award 

Aalto University - Finland

Author Profile

Early Academic Pursuits

Mrs. Marjaana Siivola's academic journey began with a strong focus on technology and its application in various domains. She obtained her Master of Science in technology with a specialization in utilizing technology to support the independent living of the elderly and disabled. This foundational education laid the groundwork for her future research and professional endeavors.

Her academic pursuits continued as she pursued a Licentiate of Technology degree, where her focus shifted towards exploring the usability of mixed reality applications. This period marked her transition into interdisciplinary research, blending technology with fields such as human-computer interaction and user-centered design. Siivola's early academic pursuits reflect a commitment to leveraging technology for social good and enhancing user experiences across different contexts.

Professional Endeavors

Mrs. Siivola's professional journey is characterized by a diverse range of roles spanning research, education, and entrepreneurship. Following her academic achievements, she delved into the realm of usability as a specialist at Finndesign Oy and later continued her research pursuits at the University of Technology. Her work during this period contributed to understanding user requirements and interface solutions for various applications, including temperature control systems and mixed reality training tools.

In 2012, Siivola founded Doules, where she assumed the roles of doula, childbirth educator, and researcher. This entrepreneurial venture allowed her to merge her expertise in technology with her passion for supporting expectant parents during childbirth. Her multidisciplinary approach to childbirth education, incorporating elements of virtual reality and digital platforms, reflects her innovative thinking and commitment to enhancing the childbirth experience.

Siivola's professional journey also includes academic pursuits as a PhD student at Aalto University, focusing on online childbirth education. This role showcases her dedication to advancing knowledge in her field and exploring innovative methods to improve access to quality education and support for expectant parents.

Contributions and Research Focus

Mrs. Siivola's research focus centers on leveraging technology to enhance childbirth education and support services. Her pioneering work in virtual reality childbirth education has garnered attention for its potential to revolutionize traditional childbirth preparation methods. Through her publications, Siivola has explored the advantages of virtual reality in childbirth education, the role of 360° videos, and the integration of flipped learning approaches. Her research contributes to bridging the gap between technological innovation and maternal healthcare, with a focus on improving outcomes and experiences for expectant parents and healthcare professionals alike.

Furthermore, Siivola's contributions extend beyond academia through her advocacy for collaboration between midwives and doulas, as evidenced by her publications and presentations. By fostering synergy between these two essential roles in maternal care, Siivola aims to create a supportive ecosystem that prioritizes the holistic well-being of expectant families.

Accolades and Recognition

Throughout her career, Siivola has received recognition for her contributions to the field of childbirth education and support. Her presentations at international conferences and publications in esteemed journals underscore her status as a thought leader in the intersection of technology and maternal healthcare. Additionally, her involvement in professional organizations such as Suomen doulat ry and DONA International highlights her commitment to advancing doula care standards and promoting interdisciplinary collaboration within the maternal health community.

Impact and Influence

Mrs. Siivola's work has had a significant impact on both academic research and practical applications in maternal healthcare. By pioneering the integration of virtual reality into childbirth education, she has opened up new possibilities for enhancing the accessibility and effectiveness of prenatal preparation. Her emphasis on user-centered design principles ensures that technological innovations are tailored to meet the needs and preferences of diverse user groups, ultimately improving the childbirth experience for expectant parents worldwide.

Legacy and Future Contributions

As a trailblazer in the field of virtual reality childbirth education, Marjaana Siivola's legacy is characterized by innovation, collaboration, and a steadfast commitment to improving maternal healthcare outcomes. Her interdisciplinary approach and pioneering research pave the way for future advancements in digital education and support services for expectant families. Moving forward, Siivola's work will continue to shape the landscape of childbirth education, inspiring new generations of researchers and practitioners to embrace technology as a tool for positive change in maternal health.

Notable Publication

 

Snehashis Majhi – Computer Vision – Best Researcher Award

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