Swathi – ARTIFICIAL INTELLIGENCE – Best Researcher Award

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Swathi - ARTIFICIAL INTELLIGENCE - Best Researcher Award

PANIMALAR ENGINEERING COLLEGE - India

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Swathi.S stands as a dedicated and motivated individual, poised to leverage her educational background and skills to impart knowledge. With a focus on both modern and traditional teaching approaches, she is committed to fostering skill development in learners.

PROFESSIONAL ENDEAVORS:

Her academic journey includes a Ph.D. in Computer Science and Engineering from Anna University, where her provisional confirmation showcases a commitment to advancing knowledge. With a master's degree from P.A College of Engineering and Technology and a bachelor's degree from Dr.N.G.P Institute of Technology, Swathi.S has built a strong academic foundation.

CONTRIBUTIONS AND RESEARCH FOCUS:

Swathi.S has ventured into the realm of academia with roles ranging from Lecturer to Assistant Professor in various esteemed institutions. Her current position as an Assistant Professor in Artificial Intelligence and Data Science at Panimalar Engineering College reflects her evolving research focus and dedication to staying at the forefront of technological advancements.

IMPACT AND INFLUENCE:

Attending a plethora of Faculty Development Programs (FDP) and workshops, Swathi.S ensures she stays abreast of the latest trends. Her active participation in conferences and seminars, both national and international, underscores her commitment to academic growth and networking.

ACADEMIC CITES:

While specific details about academic citations are not provided, Swathi.S's continuous engagement in FDPs and attendance at conferences indicate a proactive approach to staying connected with the academic community. This involvement likely contributes to her academic citations indirectly.

LEGACY AND FUTURE CONTRIBUTIONS:

Swathi.S's journey has been marked by a series of FDPs, workshops, and conferences, laying the groundwork for a legacy of continuous learning and knowledge dissemination. Her current position in the field of Artificial Intelligence positions her for impactful future contributions.

ARTIFICIAL INTELLIGENCE FOCUS:

Swathi.S has demonstrated a keen interest in Artificial Intelligence, evident from her current role and the repeated participation in FDPs related to AI. Her future contributions are likely to make significant strides in the field of Artificial Intelligence.

NOTABLE PUBLICATION

Recurrent Neural Network for Human Action Recognition using Star Skeletonization.  2019 (3)

Deep Learning: A Detailed Analysis Of Various Image Augmentation Techniques.  2023 (2)

Temperature Monitoring Mechanism for Covid-19 Using WSN.  2022 (1)

Know Them: Convolutional Neural Networks For Facial Emotion Recognition.  2022

Katarzyna Nowomiejska – convolutional network – Best Researcher Award

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Prof. Katarzyna Nowomiejska - convolutional network - Best Researcher Award

Medical University of Lublin - Poland

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Born on April 30, 1975, in Lublin, Prof. Katarzyna Nowomiejska's academic journey commenced with distinction. She earned her Diploma from the Medical University of Lublin (1994-2000), actively engaging in scientific activities at the student association at the Department of Ophthalmology and Department of Biology and Parasitology of the Medical Academy in Lublin.

PROFESSIONAL ENDEAVORS:

Prof. Nowomiejska's professional trajectory began with postgraduate training (2000-2001) at the 1st Medical University Hospital in Lublin, followed by residency training in ophthalmology (2002-2008) at the Department of Ophthalmology in Lublin, culminating in a successful state exam in 2008. Her roles as an assistant (2008-2014) and later as an assistant professor (2015-2020) at the Department of General Ophthalmology signify her dedicated service. Since 2020, she holds the prestigious position of a full professor at the Chair and Department of General and Pediatric Ophthalmology of the Medical University in Lublin.

MAIN RESEARCH FIELDS OF INTEREST:

Prof. Nowomiejska's research is multifaceted, spanning surgical techniques in eye trauma reconstruction, advancements in vitreoretinal surgery, and a focus on rare eye diseases, particularly retinal dystrophies.

LATEST PUBLICATIONS:

Recent publications showcase Prof. Nowomiejska's continued contributions. Noteworthy works include an in-depth evaluation of the Farnsworth Dichotomous D-15 Panel Test for distinguishing between Best vitelliform macular dystrophy and autosomal recessive bestrophinopathy. Her research on peripapillary microvascular changes after retinal detachment repair and genotype-phenotype findings in bestrophinopathies reflects her commitment to advancing ophthalmic knowledge convolutional network.

IMPACT AND INFLUENCE:

Prof. Nowomiejska's impact is evident in her leadership roles, her extensive academic portfolio, and her participation in shaping position statements, such as the ERN-EYE statement on the need for widely available genomic testing in rare eye diseases.

ACADEMIC CITES convolutional network:

The depth of Prof. Nowomiejska's research is reflected in numerous citations, with her work on rod function evaluation and the use of optical coherence tomography angiography being particularly noteworthy convolutional network.

LEGACY AND FUTURE CONTRIBUTIONS:

As a full professor, Prof. Nowomiejska's legacy is firmly established. Her future contributions are poised to further advance surgical techniques, enhance our understanding of retinal diseases, and contribute to the global dialogue in ophthalmology.

NOTABLE PUBLICATION

Efficacy and Safety of Subthreshold Micropulse Yellow Laser for Persistent Diabetic Macular Edema After Vitrectomy.  2022 (6)