Umaa Mahesswari G | Artificial Intellugence Engineering | Best Researcher Award

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Ms. Umaa Mahesswari G | Artificial Intellugence Engineering | Best Researcher Award

Research Scholar at College of Engineering Guindy, Anna University, India

G. Umaa Mahesswari is a highly motivated research scholar from Chennai, India, with a passion for innovation and technology. With a solid foundation in Computer Science, her academic journey spans from her B.E. at R.M.K College to a Ph.D. at Anna University, specializing in Big Data Analytics. Umaa has worked on significant projects like IoT-based air pollution detection and digital inscription readers for ancient Tamil stone inscriptions. A recipient of the prestigious Anna Research Fellowship, she is dedicated to leveraging technology for social good. Her technical expertise and passion for research make her a valuable asset in the R&D domain.

Profile

Education 📘🎓

Bachelor of Engineering (B.E.) in Computer Science from R.M.K College of Engineering and Technology, Chennai (2015-2019), with a CGPA of 8.65.Master of Engineering (M.E.) in Computer Science with a Specialization in Big Data Analytics from College of Engineering, Guindy, Anna University, Chennai (2019-2021), with a CGPA of 9.07.Ph.D. in Computer Science from College of Engineering, Guindy, Anna University (2023-present).Completed the Google Data Analytics Professional Specialization Course via Coursera (2021), enhancing her skills in data-driven problem-solving.

Experience 💼📊

Research Project Assistant at Tamil Virtual Academy (2022), working on the development of an inscription reader for ancient Tamil temple inscriptions, supervised by Dr. P. Uma Maheswari.Undergraduate project on IoT-based air pollution detection and analysis, focusing on real-time data collection and environmental monitoring.Postgraduate project on predictive analytics for plastic disposal by Walmart India, contributing to sustainable business solutions.Proficient in machine learning, data visualization, and SQL, with significant contributions to the field of Big Data Analytics.

Awards and Honors 🏆🎖

Academic Topper in the third year of her B.E. program, demonstrating her dedication to academic excellence.Nominee for Best Outgoing Student Award at the end of her undergraduate studies.Prize winner in several intra-college cultural competitions, showcasing her versatility beyond academics.Anna Research Fellowship Holder from 2023 to 2025, awarded in recognition of her research potential in Big Data Analytics.Published academic papers in esteemed venues like Springer ICTIS and Computer Society of India, highlighting her contributions to the academic community.

Research Focus 🔍💡

Umaa Mahesswari’s research focuses on leveraging Big Data Analytics, Machine Learning, and Deep Learning to solve pressing societal challenges. Her projects span diverse areas such as IoT-based environmental monitoring, predictive analytics for waste management, and digital solutions for heritage preservation (Tamil inscriptions). She aims to develop data-driven solutions that improve sustainability and drive innovation. Her ongoing Ph.D. research explores pattern recognition and data visualization techniques to extract meaningful insights from large datasets, with the goal of enhancing decision-making processes in both academic and practical settings.

Conclusion

G. Umaa Mahesswari is an exceptional candidate for the Best Scholar Award due to her innovative research, academic achievements, and technical expertise. By further broadening her research scope and international collaborations, she could elevate her already impressive profile and contribute even more profoundly to the global research community.

Publication Top Notes

SmartScanPCOS: A Feature-Driven Approach to Cutting-Edge Prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence

Journal: Heliyon
Published: October 2024
DOI: 10.1016/j.heliyon.2024.e39205
Contributors: G. Umaa Mahesswari; P Uma Maheswari

Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

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Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

PhD Candidate at Artificial Intelligence, Tecnalia Research Innovation, Spain

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Maria Arostegi 🎓 earned her mathematics degree (Number Theory) in 1995 from EHU-UPV (Basque Country University), completing her final year of studies at L’Università degli Studi di Milano in Milano, Italy 🇮🇹. In 1996, she completed the Course on Pedagogical Aptitude. Over the next two years, she received grants to work in the mechanics department of LABEIN, focusing on Virtual Reality. She then obtained another grant from the “Bizkaiko Foru Aldundia” to further her training on Virtual Reality tools at VRAC (Virtual Reality Applications Center, Ames-IA), where she worked with the Carolina Cruz-Neira research team. During this period, she focused on geometric modeling, software navigation, and photo-realistic treatment.

Experience:

From then until 2017, Maria worked on various projects related to 3D modeling tools, graphic interaction, computation, and simulation in different scenarios. She specialized in developing software predictive tools for rolling mills, continuous casting, and reheating furnaces. Specifically, she developed the heating module in 1D, 2D, and 3D, as well as software interfaces for these steel processes. This involved mathematical development of the three-dimensional equations of heat transfer in steel processes and the (2D and 3D) View factor related to the geometrical shapes in the reheating furnace process for calculating radiation heat transfer.

Other Activity:

In 2017, Maria shifted her focus to studying mathematical algorithms for data analytics, machine learning, and big data technologies (such as Hadoop, Spark, etc.), receiving training in “Big data, Business Intelligence, and Data Science” through an online Master’s degree issued by INESEM. Since then, she has participated in several AI projects using techniques such as Artificial Intelligence, Machine Learning, clustering schemes, dimensional reduction, unbalanced strategies, regressive schemes, linear, lasso, elastic-net, SVMs, CART, RF, and assembly methods (bagging and boosting).

Currently, Maria is working on her thesis titled “Explainable continual learning over data streams” as part of the PhD program at UPV/EHV in the field of Information and Communication Technologies in Mobile Networks, while also working part-time.

 

Ms. Mohaddeseh Koosha | Artificial Intelligence | Best Researcher Award

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Ms. Mohaddeseh Koosha : Leading Researcher in Artificial Intelligence

PhD Student at Artificial Intelligence, Amirkabir University of Technology, Iran

She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ms. Mohaddeseh Koosha is an expert in signal and image processing with a passion for extracting features from natural patterns. She enjoys applying evolutionary algorithms to solve regression and classification problems and has a keen interest in studying scientific papers for new ideas. Ms. Koosha holds a Master’s degree in Electronics from Sharif University of Technology and is currently completing her Ph.D. in Computer Engineering with a focus on Artificial Intelligence at Amirkabir University of Technology. While she initially worked in electrical engineering, specifically in microelectronics and VHDL, she transitioned her focus to Artificial Intelligence eight years ago. Ms. Koosha has published in high-impact journals such as Knowledge-Based Systems (Elsevier) and IET Image Processing, as well as in conference publications. She has served as a peer-reviewer for IET Image Processing and has collaborated with Professor Mohammad Mehdi Ebadzadeh on Genetic Programming within the field of Evolutionary Algorithms. Throughout her career, Ms. Koosha has successfully completed several engineering projects for various companies, showcasing her expertise and practical skills in the field.

Research, Innovations and Extension:

Ms. Mohaddeseh Koosha has completed 12 research projects and has ongoing research activities. She has a citation index of 12 in Scopus/Web of Science or PubMed/Indian Citation Index. Additionally, she has been involved in 8 consultancy and industry-sponsored projects. Ms. Koosha has published 2 books with ISBN (text, reference, chapters, and conference proceedings) and has a cumulative project cost of USD/INR 30,000. She has published patents and has 2 journals indexed in SCI and SCIE. She has also held editorial appointments in journals/conferences and has 2 publications in Scopus, Web of Science, and PubMed indexes. Furthermore, she has a notable H-index based on Scopus/Web of Science, has organized research conferences/workshops, and has been involved in collaborative activities and received numerous awards and recognition. Ms. Koosha is a member of professional bodies and has functional MoUs with other universities/industries/corporates.

Research & Development:

👩‍🔬 Ms. Mohaddeseh Koosha is currently focusing on using artificial intelligence in developing biometric research, particularly in extracting biometric features from face and eyes. She is also using probabilistic genetic programming to resolve regression problems, such as making predictions from data gathered from CT Scan devices and making pollution condition forecasts. Additionally, she is enthusiastic about gathering healthcare-relevant features and observing their influence on life expectancy.