Junsong Yang | Genetics and Gnomics | Research Excellence Award

Published on by Genetics and Genomics

Prof. Junsong Yang | Genetics and Gnomics | Research Excellence Award

Bengbu Medical University | China

Prof. Junsong Yang, Ph.D., is a Professor at Bengbu Medical University (BBMU), Bengbu, Anhui, China, with nearly two decades of academic and professional service at the institution. He earned his bachelor’s degree in Chemical Process Engineering from East China University of Science and Technology, followed by a Master of Science in Chemistry from the University of Science and Technology of China. He completed his doctoral degree in Chemistry at Anhui University. Over the past eighteen years at BBMU, Professor Yang has been actively engaged in teaching and research, with a strong focus on food quality and safety, contributing to the advancement of applied chemical sciences and public health-oriented education.

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Patrick Van Dijck | Host Genetics | Research Excellence Award

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Prof. Patrick Van Dijck | Host Genetics | Research Excellence Award

KU Leuven | Belgium

Prof. Patrick Van Dijck is a distinguished Professor at the Laboratory of Molecular Cell Biology, Institute of Botany and Microbiology, KU Leuven, Belgium, where he is internationally recognized for his pioneering research in infectious diseases and host genetics. His work has made significant contributions to understanding human fungal pathogens, particularly the molecular and cellular mechanisms that govern host–pathogen interactions and fungal virulence. Through innovative experimental approaches and interdisciplinary collaboration, Prof. Van Dijck has advanced the field of molecular microbiology and improved insights relevant to the prevention and treatment of fungal infections. In recognition of his outstanding scientific achievements, global impact, and sustained excellence in research, he has been honored with the prestigious Research Excellence Award.

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Amir Sohail | Population Genetics | Research Excellence Award

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Dr. Amir Sohail | Population Genetics | Research Excellence Award

Xishuangbanna Tropical Botanical Garden (XTBG) | China

Dr. Amir Sohail, son of Guldar Shah, is a Pakistani plant geneticist specializing in Crop Genetics and Breeding, currently serving as a Postdoctoral Researcher (Type A) in the Germplasm Preservation and Genetic Improvement of Tropical Rice Group at Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences (CAS), China. He earned his Ph.D. in Crop Genetics and Breeding  from the Chinese Academy of Agricultural Sciences, China National Rice Research Institute, following an M.Sc. and B.Sc. in Plant Breeding and Genetics from The University of Agriculture, Peshawar, Pakistan. His research focuses on gene mapping, QTL analysis, molecular and mutation breeding, genome editing, and functional genomics in rice, with extensive expertise in CRISPR/Cas9, RNA-Seq, and advanced molecular assays. Dr. Sohail has conducted significant postdoctoral and doctoral research on rice flowering regulation, male sterility, heading date QTLs, and plant architecture, alongside earlier work on maize, mungbean, wheat, and chickpea improvement. He has authored 50+ peer-reviewed publications in leading international journals with a cumulative SCI impact factor of 77 and serves as a reviewer for journals including Journal of Integrative Plant Biology, Frontiers in Plant Science, and Acta Physiologiae Plantarum. His academic excellence is recognized through prestigious awards such as the Caiyun Postdoctoral Project, CNRRI Student’s S&T Innovation Award, Beijing Government Scholarship, and GSCAAS Scholarship. Proficient in a wide range of bioinformatics and statistical tools, he is fluent in English, Urdu, Chinese, and Persian, and actively contributes to global collaborative research in rice genetics and sustainable crop improvement.

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Changcai Teng | Molecular genetics | Research Excellence Award

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Prof. Dr. Changcai Teng | Molecular genetics | Research Excellence Award

Academy of Agriculture and Forestry, Qinghai university | China

Prof. Dr. Changcai Teng, born on 27 May 1982, is a Chinese crop genetics and breeding specialist currently serving as a Faba Bean Breeder at the Qinghai Academy of Agriculture and Forestry Science and Qinghai University’s Academy of Agriculture and Forestry. He holds a PhD (2018) and MSc (2009) in crop genetics and breeding, as well as a postgraduate qualification in forestry science (2004), all from Qinghai University in Xining, China. With professional experience spanning roles at the Agricultural Technology Promotion Center in Gonghe County and the Sino-Canada joint venture Jason Group Corporation Luyuan Ecology Co., Ltd, his research has focused on the genetics and breeding of Spring Brassica napus, potato, and faba bean. Proficient in Chinese and English, he is based in Xining, Qinghai Province.

Profiles: Scopus 

Featured Publications

"Genome-wide identification of the MADS-box gene family and their role in the formation of faba bean (Vicia faba L.) growth habits", Prof. Dr. Changcai Teng., 2025

Nasrin Samadyar | Cancer Genetics | Research Excellence Award

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Dr. Nasrin Samadyar | Cancer Genetics | Research Excellence Award

Kermanshah University of Technology, Kermanshah | Iran

Dr. Nasrin Samadyar, born on 17 June 1989 in Karaj, Alborz Province, Iran, is an Iranian applied mathematician specializing in numerical analysis, stochastic differential equations, and meshfree computational methods. She earned her BSc in Applied Mathematics from Kharazmi University, followed by an MSc from Amirkabir University of Technology and a PhD in Applied Mathematics (Numerical Analysis) from Malayer University, where her doctoral research focused on meshfree radial basis function methods for solving stochastic integral equations. She later completed a postdoctoral fellowship in Mathematics at Alzahra University, concentrating on numerical solutions of stochastic differential and partial differential equations. A dedicated educator, she has taught courses such as Numerical Analysis, Linear Optimization, Calculus, and Numerical Linear Algebra. Samadyar has authored numerous high-impact journal publications spanning stochastic integral equations, fractional models, operational matrix methods, wavelet techniques, and meshless approaches, contributing significantly to computational mathematics. She also serves as a reviewer for leading international journals, including the International Journal of Biomathematics, Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, and Soft Computing. A member of Iran's National Elites Foundation, she has supervised graduate research on numerical and stochastic equation-solving techniques and participated in advanced mathematical projects, including implicit meshless methods for fractional stochastic Tricomi-type equations. Proficient in MATLAB, MAPLE, MATHEMATICA, LaTeX, and C++, Samadyar continues to advance research in applied and stochastic mathematics through rigorous analysis, innovative numerical schemes, and interdisciplinary applications.

Profiles: Scopus | Google Scholar

Featured Publications

"A new scheme for solving nonlinear Stratonovich Volterra integral equations via Bernoulli’s approximation, Appl", F. Mirzaee, N. Samadyar, S.F. Hosseini., 2025

"Euler polynomial solutions of nonlinear stochastic Ito-Volterra integral equations, J. Comput. Appl",F. Mirzaee, N. Samadyar, S.F. Hosseini., 2025

"Application of orthonormal Bernstein polynomials to construct a efficient scheme for solving fractional stochastic integro-differential equation, Optik Int. J. Light Electron Opt", F. Mirzaee, N. Samadyar., 2025

"Numerical solution of nonlinear stochastic Ito-Volterra integral equations driven by fractional Brownian motion, Math. Meth. Appl",F. Mirzaee, N. Samadyar., 2025

Yong Chi Chua | Epigenetics | Best Researcher Award

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Mr. Yong Chi Chua | Epigenetics | Best Researcher Award

University of Technology | Malaysia 

Author Profile

Scopus

🌟 Chua Yong Chi: AI Software Engineer Extraordinaire 🌟

🎓 Education

🎓 Master of Computer Science

University of Technology Malaysia
CGPA: 3.95 / 4.0, UTM National Postgraduate Fund (NPF) Scholarship
October 2021 - April 2023 | Skudai, Johor, Malaysia

🎓 Bachelor of Computer Science (Computer System)

University of Putra Malaysia
CGPA: 3.677 / 4.0, Second Upper Class Honour
October 2017 - September 2021 | Serdang, Selangor, Malaysia

💼 Professional Experience

🤖 AI Software Engineer

Redfin Technology
July 2023 - Present | Kuala Lumpur, Malaysia

  • Lead and coordinate an AI team to ensure timely completion of tasks.
  • Communicate effectively with project managers to gather requirements and align team efforts.
  • Utilize advanced knowledge in the RASA framework for AI chatbot development.
  • Implement NLP techniques including featurization, tokenization, data labeling, entity recognition, and intent classification.
  • Apply machine learning skills in feature engineering, classification, performance evaluation, and data modeling.
  • Conduct data analysis to extract and analyze conversation data, optimizing model performance.
  • Utilize TensorBoard to monitor model training.
  • Develop and deploy AI models using microservices architecture.
  • Implement web development using Vue.js, Spring Boot, and MySQL.
  • Create REST APIs to interact with databases for data validation and insertion.
  • Develop Docker containers for model training to handle OS dependency issues.
  • Use SQL queries for data insertion and extraction.
  • Debug code to identify and resolve errors efficiently.

💻 Java Developer Intern

Cyber Village
March 2021 – August 2021 | Kuala Lumpur, Malaysia

  • Collaborated with a team to develop a Fintech project using HTML, CSS, JavaScript (AngularJS), and Java (Spring Framework).
  • Tested web applications for bugs, documented processes, and fixed issues.
  • Assisted in creating a prototype for a new Fintech project by reusing existing code.

🔬 Projects

  1. Q-learning Model for Selection of Genetic Markers Associated with Acne
  • Developed a reinforcement learning agent using the Q-learning model to select genetic markers associated with acne.
  • Conducted data preprocessing and data mining for acne gene expression datasets using R programming.
  • Developed a Q-learning agent using Python (NumPy, pandas) and designed Markovian domains (state, action, rewards, Q-value) for the gene expression datasets.
  • Evaluated the performance of selected genes with logistic regression classification and analyzed their relationship with acne through PubMed text data mining.
  1. A Microservices Based Framework for IoT System in Smart Home Environment
  • Developed an IoT environment system on Raspberry OS and Docker, including temperature and humidity monitoring, light intensity monitoring, and light automation.
  • Created independent and loosely coupled features using different API IDs for each sensor.
  • Developed a messaging protocol between sensor and server using MQTT (Eclipse Mosquitto), backend function and API using JavaScript (Node-RED), database storage using InfluxDB, and data visualization using Grafana.

📚 Publications

AI-driven Q-learning for Personalized Acne Genetics: Innovative Approaches and Potential Genetic Markers
Published in the Egyptian Informatics Journal
Read more

💡 Skills

  • Programming Languages: Python, Java, R, JavaScript (AngularJS, Vue.js)
  • Frameworks & Tools: RASA, Spring Boot, Docker, TensorBoard, Git, GitLab, Visual Studio Code, Eclipse
  • Databases: MySQL, InfluxDB
  • Technologies: Microservices architecture, REST API, SQL
  • Data Science: NLP, Machine Learning, Data Analysis, Feature Engineering

🏅 Activities

Event President
UPM 6th Modern Dance Performance - F6und, March 2020

  • Coordinated over 100 active members and involved over 1000 audiences.

Club President
UPM Extreme Dancer Club, October 2018 – October 2019

  • Led and communicated with a 25-member organization.

🌐 Additional Information

  • Languages: English, Chinese, Malay
  • Interests: Gym, Dancing, Travelling, Badminton

📚 Notable Publication

AI-Driven Q-Learning for Personalized Acne Genetics: Innovative Approaches and Potential Genetic Markers

Authors: Chua, Y.C., Nies, H.W., Kamsani, I.I., Nies, Y.H., Mohamad, M.S.
Journal: Egyptian Informatics Journal
Volume: 26
Pages: 100484
Year: 2024