Mrs. Parami ama Shakya | Structural Materials Awards | Best Researcher Award

Posted on 07/01/2025 by ScienceFather

Mrs. Parami ama Shakya | Structural Materials Awards | Best Researcher Award

Mrs. Parami ama Shakya, University of Kelaniya, Sri Lanka

Merigngnage Dona Parami Ama Shakya, is a dedicated physicist currently pursuing an M. Phil in Physics at the University of Kelaniya, where she previously earned her B.Sc. Honours in Physics, graduating with a Second Upper Class GPA of 3.57. Parami has gained valuable experience as a Temporary Demonstrator and Temporary Research Assistant at the same university, and she is now a physicist in the Sri Lanka Scientific Service. Her research interests focus on dye-sensitized solar cells, with multiple publications showcasing her work on copper thin-film photoanodes and natural dye co-sensitization. Parami’s strong analytical skills and innovative approach to problem-solving are complemented by her proficiency in project management and IT literacy. She is actively engaged in the academic community, sharing her findings through conferences and publications, including contributions to renowned journals and international conferences. Outside her research, she is known for her creativity and ability to navigate complex challenges in her field. Parami is passionate about advancing renewable energy technologies and contributing to sustainable scientific practices.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Merigngnage Dona Parami Ama Shakya demonstrates exceptional qualifications for the Best Researcher Award through her impressive educational background, relevant research experience, and significant contributions to the field of Physics.

🎓 Education

M. Phil in Physics
University of Kelaniya
B.Sc. Honours in Physics (2017-2021)
University of Kelaniya
Course Description: Physics, Pure Mathematics, Electronics
Class: Second Upper Class | GPA: 3.57
G.C.E. Advanced Level Examination (2016)
Physical Science Stream
G.C.E. Ordinary Level Examination (2012)

💼 Work Experience

Physicist (December 2024 – Present)
Sri Lanka Scientific Service
Temporary Research Assistant (December 2022 – October 2024)
Department of Physics and Electronics, University of Kelaniya
Temporary Demonstrator (August 2022 – December 2022)
Department of Physics and Electronics, University of Kelaniya

🏆 Achievements & Publications

Published Works:
- “A Study on Cu Thin-Film Electroplated TiO2 Photoanodes for Applications in Natural Dye-Sensitized Solar Cells” – Crystals (29th December 2024) 🌟
- “Co-sensitization Performance of Dye Sensitized Solar Cell Based on Combination of Natural Dyes Extracted from Grapes and Green Tea” – International Conference on Applied and Pure Science (11th October 2024) 🍇
- “Temperature Effect on Wettability Properties of Electrodeposited n-Type Cuprous Oxide” – International Conference on Applied and Pure Science (11th October 2024) 🌡️
- “Improvement of dye sensitized solar cell performance using different particle sizes of double layered TiO2 photoanodes” – 20th International Postgraduate Research Conference (29th November 2024) 🔋

Publication Top Notes:

A Study on Cu Thin-Film Electroplated TiO<sub>2</sub> Photoanodes for Applications in Natural Dye-Sensitized Solar Cells

Mr. Krishnavamshi Gandur | Swarm Intellgence Awards | Best Researcher Award

Posted on 17/12/202417/12/2024 by ScienceFather

Mr. Krishnavamshi Gandur | Swarm Intellgence Awards | Best Researcher Award

Mr. Krishnavamshi Gandur, Woxsen University, India

Krishnavamshi Ganduri is a dedicated PhD candidate in Mechatronics at Woxsen University, Hyderabad, India, where he explores the fusion of mechanical, electrical, and computer engineering to devise innovative solutions for real-world challenges. With a strong foundation in robotics and automation, he aims to contribute to advancements in artificial intelligence. As a Teaching Assistant, he has led classes and supervised labs, focusing on software like AutoCAD, SolidWorks, and 3D printing, while also guiding student robotics projects. His academic journey includes a B.Tech in Mechanical Engineering and an M.Tech in Thermal Engineering, complemented by professional experience as a Design Engineer. Krishnavamshi has received accolades for his innovative projects, including a 1st place award for designing a paper cutting machine using the Geneva mechanism. He is proficient in multiple programming languages and CAD software, with several patents to his name, showcasing his commitment to pushing the boundaries of technology and education. 🌟👨‍🎓🔧

Professional Profile:

ORCID

Suitability for Best Researcher Award

Krishnavamshi Ganduri is a highly suitable candidate for the Best Researcher Award based on his exceptional academic background, technical skills, professional achievements, and innovative research contributions. Below is a summary of the key factors that underscore his eligibility.

🎓 Education

📚 Ph.D. in Robotics, Woxsen University (2021–2025)
Thesis: Swarm Robotics using PSO and Rendezvous Algorithms
📚 M.Tech. in Thermal Engineering, CMR Technical Campus (2018–2021)
Thesis: CFD Analysis of Diesel-Methanol IC Engine
📚 B.Tech. in Mechanical Engineering, Adams Engineering College (2015–2018)
📚 Diploma in Mechanical Engineering, Govt. Polytechnic (2012–2015)

🧑‍🏫 Experience

🏫 Teaching Assistant (2023–2025), Woxsen University: Led labs and classes on AutoCAD, Fusion 360, SolidWorks, and Robotics.
🏫 Teaching Assistant (2021–2022), Mahindra University: Conducted classes on AutoCAD, SolidWorks, and Engineering Drawing.
⚙️ Design Engineer (2020–2021), Lyonstone Technologies: Expertise in ANSYS, SolidWorks, and Catia, conducting advanced simulations and performance analysis.

🏆 Achievements

🏅 1st Place: Innovation of Geneva Mechanism Paper Cutter, PROJECT-EXPO (2017).
🏅 1st Place: Scored 100/100 in Engineering Drawing, Diploma (2013).
📜 Certified CAD/CAE Engineer, MSME Govt. of India.

🛠️ Key Projects

🤖 WOXBOTS: Swarm robotics platform for collision avoidance.
🚜 Agriculture Drone: AI-powered drone for crop health monitoring.
🛒 Warehouse Automation: Pick-and-Place Robot for enhanced efficiency.
🔥 Firefighting Drone: Equipped with human detection and suppression systems.
🛠️ 3D-Printed V8 Engine: Simulated and printed prototype using SOLIDWORKS and ANSYS.

📜 Patents

🛡️ Multi-Agent Co-ordination System with Swarm Behavior (2024)
♻️ Eco-Forge: Sustainable 3D Filament Extruder.
🤖 AI-Based Robotic Pick-and-Place System for Warehouses.
📦 Automatic Segregation of E-Commerce Products with 7DOF Arm.
🏟️ Real-Time 3D Projection System for Live Matches.

🎯 Professional Development

🧠 AI & ROS for Robotics (IIIT Kancheepuram, 2023)
🌐 IoT & Digital Twins (IIIT Sricity, 2024)
🖨️ 3D Printing & Design (IIIT Basara, 2023).

Publication Top Notes:

Swarm Intelligence in Action: Particle Swarm Optimization and Rendezvous Algorithms for Swarm Robotics

EcoSprout: Machine Learning-Powered Smart Sprinkler System

CFD analysis of diesel-methanol blend in 4-stroke variable compression ratio internal combustion engine

Mr. Yu Lu | Data Collection Awards | Best Researcher Award

Posted on 25/11/2024 by ScienceFather

Mr. Yu Lu | Data Collection Awards | Best Researcher Award

Mr. Yu Lu, Beijing Forestry University, China

Yu Lu is currently pursuing a Master’s degree in Electronic Information at the School of Information Science and Technology, Beijing Forestry University, P.R. China. His research interests span a variety of topics, including the application of wireless rechargeable sensor networks, ad hoc and sensor networks, as well as algorithm design and analysis. Yu’s work focuses on improving the efficiency and functionality of these networks, with a particular emphasis on optimizing energy management and data collection processes. His academic journey is marked by a keen interest in advancing the technologies that underpin modern communication systems and wireless networks.

Professional Profile:

SCOPUS

Suitability for the Best Researcher Award: Yu Lu

Yu Lu is currently pursuing a Master’s degree in Electronic Information at the School of Information Science and Technology, Beijing Forestry University, China. His research focuses on wireless rechargeable sensor networks, ad hoc and sensor networks, and the design and analysis of algorithms, all of which are highly relevant to contemporary advancements in the field of information science and technology.

Education:

Master’s Degree in Electronic Information
- Institution: School of Information Science and Technology, Beijing Forestry University, P.R. China
- Current Status: Pursuing his Master’s degree, with a focus on electronic information and related technologies. His research interests span wireless rechargeable sensor networks, ad hoc and sensor networks, and algorithm design and analysis.

Work Experience:

Yu Lu is currently a graduate student at the School of Information Science and Technology at Beijing Forestry University. While specific work experience details are not provided, his involvement in cutting-edge research on wireless rechargeable sensor networks, optimization algorithms for data collection in sensor networks, and applications in UAV and MUV technologies suggests a strong focus on both academic research and potential collaborations with industry or research institutes. His work aligns with advancements in sensor network optimization, UAV technology, and algorithm design.