Minkyung Lee | Analytics and Reporting | Best Researcher Award

Ms Minkyung Lee Myongi Hospital, South Korea

Dedicated to advancing medical knowledge, she pursued a Doctor of Philosophy at the Catholic University of Korea from 2018 to 2022, following her master’s degree. With a focus on internal medicine, she completed a fellowship in Endocrinology and Metabolism at Sungkyunkwan University’s Kangbuk Samsung Hospital from 2013 to 2015. Transitioning into academia, she assumed the role of Assistant Professor at Myongji Hospital, Hanyang University College of Medicine, starting in 2015. Throughout her career, she has remained committed to internal medicine, specializing in endocrinology and metabolism, engaging in research and scholarly pursuits to enhance patient care and medical practices.

Education:

From 2002 to 2008, she pursued her graduation at Catholic Kwandong University College of Medicine. Following this, between 2015 and 2018, she undertook her Master of Medical Science degree at the Catholic University of Korea, specializing in the Department of Medicine. During this period, she delved deeper into her medical studies, honing her skills and knowledge in the field. Building upon her master’s degree, she continued her academic journey from 2018 to 2022, pursuing a Doctor of Philosophy at the Catholic University of Korea within the Department of Medicine. Throughout her doctoral studies, she engaged in rigorous research and scholarly endeavors, contributing to the advancement of medical knowledge and practices. Her dedication and commitment to academic and professional excellence are evident in her educational trajectory, spanning from undergraduate to postgraduate studies. With each milestone, she has demonstrated a profound commitment to her field, equipped with a wealth of knowledge and expertise to make meaningful contributions to the medical community.

🌐 Profile Links:

Scopus

Experience:

From 2009 to 2013, she completed her residency at the Department of Internal Medicine in Myongji Hospital. Following her residency, she pursued a fellowship from 2013 to 2015 at the Department of Internal Medicine, specifically focusing on the Division of Endocrinology and Metabolism at Sungkyunkwan University’s Kangbuk Samsung Hospital. Building upon her fellowship training, she transitioned into an academic role, assuming the position of Assistant Professor in the Division of Endocrinology and Metabolism within the Department of Internal Medicine at Myongji Hospital, Hanyang University College of Medicine starting in 2015. Throughout her career trajectory, she has dedicated herself to the field of internal medicine with a specialization in endocrinology and metabolism. Her residency and fellowship experiences have equipped her with the necessary skills and knowledge to provide comprehensive care to patients while her current role as an Assistant Professor allows her to impart her expertise to medical students and residents. She continues to contribute to the advancement of medical knowledge and patient care within her institution, demonstrating a commitment to excellence in academic medicine.

Honors and Awards:

She achieved significant recognition for her research endeavors, including being honored with the 1st Young Excellent Abstract Award of JAS 2023, a testament to the quality and impact of her scholarly contributions. Her dedication and innovation in the field were further acknowledged through funding support from the NRF (National Research Foundation of Korea), evident in grants numbered 2022R1F1A061069 and 2021R1A2C2013890. These grants not only validated the merit of her research proposals but also provided vital resources to advance her investigations and make meaningful contributions to the scientific community. In addition to these prestigious accolades, she was also bestowed with the 2021 Myongji Hospital Excellent Study Award, underscoring her commitment to excellence in healthcare research. Through her diligent efforts and exemplary achievements, she has demonstrated exceptional promise and leadership in her respective field. Her receipt of these awards and funding underscores her outstanding capabilities as a researcher and her potential to further advance knowledge and innovation in her chosen area of study.

Publications:

Cumulative exposure to hypertriglyceridemia and risk of type 2 diabetes in young adults Published By : 2024
Cumulative exposure to metabolic syndrome in a national population-based cohort of young adults and sex-specific risk for type 2 diabetes Cited By : 1, Published By : 2023
Type 2 Diabetes and Its Association With Psychiatric Disorders in Young Adults in South Korea Published By : 2023
Effect of low-dose tadalafil once daily on glycemic control in patients with type 2 diabetes and erectile dysfunction: a randomized, double-blind, placebo-controlled pilot study Cited By : 5, Published By : 2022
Factors Associated with Body Weight Gain among Korean Adults during the COVID-19 Pandemic Cited By : 8, Published By : 2022
Sodium–Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Score–Matched Cohort Study. Diabetes Care 2021; 44:2419–2426 Published By : 2021
Changes in metabolic syndrome status affect the incidence of end-stage renal disease in the general population: a nationwide cohort study Cited By : 8, Published By : 2021
Sodium–Glucose Cotransporter 2 Inhibitors and Risk of Retinal Vein Occlusion Among Patients With Type 2 Diabetes: A Propensity Score–Matched Cohort Study Cited By : 10, Published By : 2021
Thyroid hormone profile and its prognostic impact on the coronavirus disease 2019 in korean patients Cited By : 16, Published By : 2021
Weight change and microvascular outcomes in patients with new-onset diabetes: A nationwide cohort study Cited By : 8, Published By : 2021

Surya Teja Chavali – Leading Researcher in Computer Vision

Congratulations, Mr Surya Teja Chavali, on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Mr Surya Teja Chavali, a distinguished academic and researcher in the field of renewable energy, Academician/Research Scholar Amrita Vishwa Vidyapeetham India. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Computer Vision into Social Media and Digital Marketing applications.

🎓 Education:

Amrita Vishwa Vidyapeetham Bengaluru, India
- B. Tech | Computer Science (Artificial Intelligence)
- GPA: 8.01
- July 2019 – Present
Sri Chaitanya Jr. College Hyderabad, India
- Intermediate / +2 | Mathematics, Physics, Chemistry
- GPA: 92.5%
- April 2017 – May 2019
Delhi Public School Hyderabad, India
- High School (Matriculation)
- GPA: 9.6
- June 2016 – May 2017

👨‍💼 Experience:

GE Digital | Digital Technology Intern
- Location: Hyderabad
- January 2023 – Present
  - Responsible for Dockerizing and cluster management for Enterprise level applications.
  - Developed Computer Vision based solutions for easy integrations of add-on features in the product, enhancing the product experience and reducing manual labor time.
Siemens | Research Software Intern
- Location: Bengaluru
- April 2022 – June 2022
  - Worked on creating a Q/A application by extracting Tabular, Image, and Textual data from product webpages and PDFs using tools such as ‘Tabula,’ ‘Pdfminer,’ ‘Fitz,’ and ‘Camelot’ in Python.
  - Deployed extracted data onto the Elastic Search cloud using Python.
Samsung R & D Institute | Research Intern
- Location: Bengaluru
- Sept 2021 – April 2022
  - Used Scikit – Learn Package in Python to develop a classification model using Decision Tree Classifier to identify Hand Gestures based on raw sensor data.
  - Designed the entire Android app backend in Android Studio, reducing recognition latency from 7 seconds to <1 second by creating and loading the ML model on the fly.

📚 Publications:

Smart Facial Emotion Recognition With Gender and Age Factor Estimation (ICMLDE 2022)
A Study on Named Entity Recognition with Different Word Embeddings on GMB Dataset using Deep Learning Pipelines (13th ICCCNT 2022)
Modelling a Reinforcement Learning Agent For Mountain Car Problem Using Q – Learning With Tabular Discretization (MYSURUCON 2022)
Comparative Study of Image Encryption and Image Steganography using Cryptographic Algorithms and Image Evaluation Metrics (ISIC 2022)
Grammar Detection for Sentiment Analysis through Improved Viterbi Algorithm (ACCAI 2022)

💻 Skills:

General: Software Engineering, Machine Learning, App Development
Programming Languages: Java, Python, MATLAB
Tools / Frameworks: Docker, Kubernetes, Spring Boot, Android Studio, OpenCV, TensorFlow

🚀 Projects:

Fatigue Monitoring in Continuous Speech for Air Traffic Control Stations
- Collected an authentic dataset- Chinese ATC speech samples from IEEE dataport.
- Worked on OpenSMILE Interspeech feature set (MFCCs, Statistical, Energy, Kurtosis).
- Implemented Data Pre-processing and Data Augmentation techniques.
- Created various ML and DL classifiers in Python, achieving an overall best accuracy of 99.47% with a 1D-CNN model.
Real-Time Rock-Paper-Scissor Game Playable Robot using Reinforcement Learning
- Developed a Q-Learning Agent in Python for accurate detection of the user’s move pattern against the robot.
- 3D printed a human-like palm, controlled finger movements using Servo Motors connected to Arduino.
- Developed a DL Model to recognize the user’s move through live video and fed it to the agent.

🌐 Profile Links: