Ann Kurian | Biomaterials | Best Researcher Award

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Ms. Ann Kurian | Biomaterials | Best Researcher Award

Ann Anu Kurian is a biomedical researcher with over seven years of experience specializing in cellular biology and RNA-based gene delivery. She holds an MS in Biomedical Science from Morehouse School of Medicine and a BTech in Biotechnology from Lovely Professional University. Currently an Associate Researcher II and Lab Manager at the Icahn School of Medicine at Mount Sinai, her work focuses on cardiac and skeletal muscle regeneration using modified mRNA technologies. She has contributed to multiple peer-reviewed publications and has been recognized with several academic honors, including a Presidential Scholarship and research presentation awards.

Ms.Ann Kurian , Icahn school of medicine, United States.

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πŸŽ“ Education

Ann Anu Kurian holds a Master of Science in Biomedical Science from Morehouse School of Medicine in Atlanta, Georgia, completed between August 2015 and May 2017. She also earned a Bachelor of Technology in Biotechnology from Lovely Professional University in India, where she studied from August 2009 to May 2013.

🌟 Experience

With over seven years of research experience, Ann currently serves as an Associate Researcher II and Research Lab Manager at the Icahn School of Medicine at Mount Sinai in New York. Since November 2023, she has been working in the Gregorio Laboratory, conducting research focused on understanding the components and molecular mechanisms that regulate actin architecture in cardiac and skeletal muscle during both normal development and disease. Prior to this, she held a similar role in the Zangi Laboratory from August 2017 to November 2023, where she led projects utilizing modified mRNA to improve cardiac outcomes post-injury and managed various aspects of laboratory operations. Her professional journey began in India at VWR International from January 2014 to August 2015, where she supported chemical projects, maintained product data in SAP, and enhanced product descriptions.

πŸ… Awards and Honors

Ann has been recognized for her academic and research achievements, receiving a Presidential Scholarship from Morehouse School of Medicine in 2017. The same year, she earned a travel award to attend the Georgia Academy of Science annual meeting. She also presented her research at several prestigious conferences, including the Ninth AACR Conference on The Science of Cancer Health Disparities, the Curtis L. Parker Student Research Symposium, and the Georgia Academy of Science annual meeting.

πŸ“–Skill

Ann is skilled in a wide range of technical and laboratory techniques. Her expertise includes molecular biology methods such as PCR, gel electrophoresis, cloning, RNA and DNA extraction, modified mRNA production, and LNP characterization. She is proficient in cell culture techniques, cardiomyocyte isolation, tissue sectioning, histological staining, and confocal microscopy. Her experience also includes data analysis, IVIS imaging, and statistical evaluation. She has strong capabilities in animal handling and laboratory management, including procurement, equipment maintenance, and regulatory compliance.

πŸ”¬ Research Focus

Ann’s research centers on cellular biology and RNA-based gene delivery systems, particularly in the context of cardiac and skeletal muscle biology. Her work has explored the use of modified mRNA technologies to induce gene expression for therapeutic regeneration following cardiac injury. Her contributions to the field are reflected in numerous peer-reviewed publications, addressing areas such as cardiomyocyte proliferation, ischemic injury, cardiac regeneration, and mRNA optimization.

πŸ“˜ Publications

Pkm2 regulates cardiomyocyte cell cycle and promotes cardiac regeneration
Authors: A Magadum, N Singh, AA Kurian, I Munir, T Mehmood, K Brown, …
Year: 2020
Journal: Circulation (Volume 141, Issue 15, Pages 1249–1265)

Altering sphingolipid metabolism attenuates cell death and inflammatory response after myocardial infarction
Authors: Y Hadas, AS Vincek, E Youssef, MM Ε»ak, E Chepurko, N Sultana, …
Year: 2020
Journal: Circulation (Volume 141, Issue 11, Pages 916–930)

Ablation of a single N-glycosylation site in human FSTL 1 induces cardiomyocyte proliferation and cardiac regeneration
Authors: A Magadum, N Singh, AA Kurian, MTK Sharkar, E Chepurko, L Zangi
Year: 2018
Journal: Molecular Therapy – Nucleic Acids (Volume 13, Pages 133–143)

Optimization of 5β€² untranslated region of modified mRNA for use in cardiac or hepatic ischemic injury
Authors: N Sultana, Y Hadas, MTK Sharkar, K Kaur, A Magadum, AA Kurian, …
Year: 2020
Journal: Molecular Therapy Methods & Clinical Development (Volume 17, Pages 622–633)

Direct reprogramming induces vascular regeneration post muscle ischemic injury
Authors: K Kaur, Y Hadas, AA Kurian, MM Ε»ak, J Yoo, A Mahmood, H Girard, …
Year: (Year not provided)
Journal: Molecular Therapy (Volume 29, Issue 10, Pages 3042–3058)

Assist. Prof. Dr Chuan-De Liu | Materials in Aerospace Applications | Best Researcher Award

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Assist. Prof. Dr Chuan-De Liu | Materials in Aerospace Applications | Best Researcher Award

Assist. Prof. Dr. Chuan-De Liu is a Lecturer at the School of Future Technology, Nanjing University of Information Science and Technology πŸ›οΈ. He holds a Ph.D. in Electrical Engineering from Southeast University (2022) and was a CSC Visiting Scholar at ENSTA-IP Paris, France (2020) 🌍. His research focuses on robotic dexterous manipulation, AI-augmented visual servoing, and autonomous unmanned systems 🚁. He has published high-impact articles in IEEE-CYBER, Complex & Intelligent Systems, and Industrial Robot πŸ“š. His expertise in robotics, AI-driven control, and industrial automation makes him a leading innovator in intelligent robotic systems πŸ†βœ¨.

Assist. Prof. Dr Chuan-De Liu, School of Future Technology, China

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EducationπŸŽ“πŸ“š

Assist. Prof. Dr. Chuan-De Liu earned his Ph.D. in Electrical Engineering from Southeast University in March 2022 πŸŽ“, where he specialized in robotic planning, control, and AI-driven automation πŸ€–. In September 2020, he was a CSC Visiting Scholar in Robotics at ENSTA-IP Paris, France 🌍, gaining international experience in robotic dexterous manipulation and autonomous systems πŸš€. He previously completed his Master’s degree (MEng) in Electrical Engineering at Southeast University in December 2016 ⚑. His strong academic background in robotics, AI, and intelligent control systems provides the foundation for his cutting-edge research in automation and robotics πŸ”¬βœ¨.

Honors and AwardsπŸ†

Assist. Prof. Dr. Chuan-De Liu has received multiple prestigious awards for his contributions to robotics and engineering πŸ€–. In 2023, he was honored as the NUIST Excellent Supervisor for Undergraduate Thesis πŸ›οΈ. He was awarded the China Scholarship Council (CSC) Scholarship (2019) for his research in robotics at ENSTA-IP Paris, France 🌍. His Bionic-Robot research earned him a Finalist position for the Best Student Paper Award at IEEE-CYBER 2019 πŸ“œ. Additionally, he won Jiangsu Province’s Outstanding Master’s Thesis Award (2018) πŸ… and secured the NaRi-Relays Scholarship (2016) for excellence in electrical engineering ⚑.

Research FocusπŸ€–

Assist. Prof. Dr. Chuan-De Liu’s research focuses on robotics, AI-driven automation, and intelligent control systems πŸš€. His expertise includes robotic dexterous manipulation, autonomous UAV systems, and motion planning for industrial robots πŸ€–. He develops advanced control techniques for floating wind turbines, bionic-robot movement planning, and high-precision sensing systems ⚑. His work in disturbance observer-based sliding mode control, satellite-borne calibration, and robotic vision processing enhances autonomous system performance 🌍. With a strong foundation in robotic safety, real-time motion planning, and intelligent inspection platforms, his research contributes significantly to next-generation automation and AI-driven robotics πŸ†βœ¨.

PublicationsπŸ“š

Reconfigurable High-Precision AC Voltage Detector for Aerospace Applications
πŸ–ŠοΈ Authors: L. Jiang, L. Zhu, C. Liu, Q. Hou
πŸ“– Journal: Measurement (2025)

An Adaptive Dual-Docking Force Control of Ship-Borne Manipulators for UAV-Assisted Perching
πŸ–ŠοΈ Authors: C. Liu, S. Fang, J. Li, B. Gao
πŸ“– Journal: IEEE-CYBER (2024)

High-Precision and Wide-Range Temperature Measurement and Control System of Satellite-Borne Calibration Blackbody
πŸ–ŠοΈ Authors: L. Jiang, C. Liu, L. Zhu, Z. Zhang, Q. Hou
πŸ“– Journal: Measurement (2024)

A Self-Constructed CNN Classifier for Keyhole Detection and Location
πŸ–ŠοΈ Authors: J. Ye, B. Gao, H. Chen, W. Xu, L. Zhong, C. Liu
πŸ“– Journal: IEEE Sustainable Power and Energy Conference (iSPEC) (2020)

Towards a Balancing Safety Against Performance Approach in Human–Robot Co-Manipulation for Door-Closing Emergencies
πŸ–ŠοΈ Authors: C. Liu, C. Yu, B. Gao, S.A. Ali Shah, A. Tapus
πŸ“– Journal: Complex & Intelligent Systems (2022)

Self-Protective Motion Planning for Mobile Manipulators in a Dynamic Door-Closing Workspace
πŸ–ŠοΈ Authors: C. Liu, B. Gao, C. Yu, A. Tapus
πŸ“– Journal: Industrial Robot (2021)

Movement Planning and Control of an Overhead Power Transmission Line Inspection Bionic-Robot
πŸ–ŠοΈ Authors: C. Liu, J. He, B. Gao
πŸ“– Journal: IEEE-CYBER (2019)

These publications highlight Dr. Liu’s expertise in robotics, AI-driven control, intelligent automation, and precision engineering πŸ€–πŸš€.

Mr Sicheng Wang | Smart Materials | Best Researcher Award

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Mr Sicheng Wang | Smart Materials | Best Researcher Award

Mr Sicheng Wang, Beijing University of Posts and Telecommunications, China

Mr. Sicheng Wang, a graduate in Information and Computing Science from Beijing University of Posts and Telecommunications, excels in applying artificial intelligence and machine learning to energy systems. He has authored three notable papers, including one published in the SCI-indexed journal Computers and Electrical Engineering, focusing on spatio-temporal PV prediction. Recognized with multiple national awards, such as the Second Prize in Mathematical Modeling and the Bronze Award in Innovation Competitions, Mr. Wang showcases exceptional research and problem-solving skills. His work in energy management and smart grids highlights his vision for sustainable technology solutions. πŸ†βš‘πŸ“š

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Academic Excellence πŸŽ“πŸ“Š

Mr. Sicheng Wang holds a degree in Information and Computing Science from Beijing University of Posts and Telecommunications, demonstrating a solid foundation in computational methods and data-driven research. His academic journey is distinguished by multiple prestigious awards, including the Second Prize in the National Undergraduate Mathematical Modeling Contest and the Bronze Award in the China International College Students’ Innovation Competition. These achievements reflect his exceptional analytical thinking, problem-solving abilities, and commitment to academic excellence. His dedication to applying advanced computational techniques makes him a standout in his field. πŸ…πŸ”¬βœ¨

Awards and Competitions πŸ†πŸ“š

Mr. Sicheng Wang has earned multiple prestigious awards in national and provincial competitions, highlighting his excellence in innovation and problem-solving. In September 2023, he secured the Second Prize in the National Undergraduate Mathematical Modeling Contest. He later achieved the Bronze Award in the China International College Students’ Innovation Competition in September 2024. Additionally, he won the Third Prize in the National Undergraduate Computer Design Contest (June 2024) and the First Prize in the Beijing Division of the Innovation Competition (July 2024). His accolades also include a Second Prize in the National Undergraduate Mathematics Contest (October 2023). πŸ…πŸ”’βœ¨

Academic Engagement πŸŽ“πŸ’Ό

He has been actively engaged in advanced studies and research in Information and Computing Science, focusing on innovative applications of artificial intelligence and machine learning. His academic involvement includes participation in high-impact research projects and national competitions, showcasing his dedication to both theoretical and practical advancements in technology. His ongoing commitment to research and learning reflects his drive for excellence in the field of computing. πŸ§ πŸ”¬πŸ“Š

Research Focusβš‘πŸ”¬

Mr. Sicheng Wang’s research focuses on the application of artificial intelligence and machine learning in energy systems and smart grids. He has authored several high-impact papers, including a study on spatio-temporal PV prediction using a convolutional-based hybrid network, published in Computers and Electrical Engineering (SCI Q3, IF 4.0). His other notable works include an AI diagnostic model presented at AUTEEE 2023 and a multi-task learning framework for medium-term load forecasting accepted at APPEEC 2024. His research addresses critical challenges in energy prediction and management, contributing to sustainable technological advancements. πŸ§ πŸ“Šβš‘