Jeba Beula | Renewable Energy | Best Researcher Award

Posted on 21/06/202521/06/2025 by ScienceFather

Jeba Beula | Renewable Energy | Best Researcher Award

Dr. Jeba Beula, Rathinam College of Arts and Science, India.

Dr. R. Jeba Beula 👩‍🔬 is an Associate Professor of Physics at Rathinam College of Arts and Science, Coimbatore 🇮🇳. With a strong academic foundation and over 15 years of teaching experience 📚, she excels in both theoretical and practical physics instruction, especially in renewable energy and material sciences ☀️🔬. Her expertise includes solar cell technologies, thin film deposition, and multiferroics. She is actively involved in curriculum development, academic leadership, and quality assurance for accreditations like NAAC and NBA ✅. Passionate about student mentorship 🤝 and interdisciplinary collaboration, Dr. Beula continues to contribute meaningfully to education and applied research 🌱🔧.

Publication Profiles

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Scopus

Education & Experience

🎓 Education:

Ph.D. in Physics (Dye Sensitized Solar Cells), Karunya Institute of Technology and Sciences, Coimbatore – 🎖️ Highly Commended
M.Phil in Physics (Multiferroics), Manonmaniam Sundaranar University – 📅 Nov 2018 | 🏅 First Class
M.Sc in Physics, Sarah Tucker College, MS University – 📅 Nov 2008 | 🏅 First Class
B.Sc in Physics, Rani Anna Govt. College, MS University – 📅 Apr 2007 | 🏅 First Class

🧑‍🏫 Work Experience:

Assistant Professor, Karunya Institute of Technology and Sciences – 🗓️ Aug 2008 to Apr 2024
Associate Professor, Rathinam College of Arts and Science – 🗓️ May 2024 to Present
Total Experience – 🕒 15 Years 10 Months

Suitability for the Award

Dr. R. Jeba Beula, Associate Professor in the Department of Physics at Rathinam College of Arts and Science, Coimbatore, India, stands out as an outstanding candidate for the Best Researcher Award. With over 15 years of experience in academia and research, Dr. Beula has demonstrated consistent excellence in the fields of thin film physics, solar energy research, and dye-sensitized solar cells, significantly advancing materials science with both theoretical and applied contributions.

Professional Development

Dr. Jeba Beula is deeply committed to academic excellence and continuous professional growth 🎓🔬. She has conducted five hands-on workshops and one faculty development program 🛠️📚, and is trained in Outcome-Based Education and the Choice-Based Credit System 🧭. Actively engaged in curriculum development and modern teaching methodologies, she integrates technology to enrich classroom engagement 📱💡. Her contributions to NAAC and NBA accreditation processes reflect her expertise in academic quality assurance 🏛️✅. Her strong administrative and mentoring skills support both departmental goals and individual student growth, reflecting a passion for lifelong learning and institutional advancement 📘🌟.

Research Focus

Dr. Jeba Beula’s research focuses on renewable energy materials and thin film technology 🌞🧪. Her Ph.D. research on Dye Sensitized Solar Cells and expertise in thermoelectric materials underscore her commitment to sustainable energy solutions 🌱⚡. She works with various deposition techniques such as PVD, sputtering, spin coating, and spray coating for nanomaterial fabrication 🔬🔧. Her interdisciplinary interest spans materials physics, nano-electronics, and energy harvesting. Through mentoring and collaboration, she contributes to developing innovative materials for real-world energy challenges, while also expanding her research scope across forensic optics and environmental studies 🔍♻️.

Awards & Honors

🥇 Recognized for academic excellence and contribution to quality assurance in NAAC/NBA processes
🎖️ Highly Commended Ph.D. for outstanding research in solar cell technology
🛠️ Organized 5 workshops and 1 FDP to advance scientific skills and teaching practices
📚 Served as Department Library In-Charge, facilitating resource and knowledge management
👩‍🏫 Acknowledged for versatile teaching across interdisciplinary programs including physics, forensic science, and optometry

Publication Top Noted

☀️ Enhanced charge transfer and stability in heterojunction perovskite solar cells with optimized Se/CuSe multi-layer hole transport layer using physical vapor deposition technique, Journal of Physics and Chemistry of Solids, 2025 📅

🧪 Deposition and characterization of ZnO/CdSe/SnSe ternary thin film based photocatalyst for enhanced visible light-driven photodegradation of model pollutants, Journal of Sol-Gel Science and Technology, 2024 📅

☠️ Impact of Venomous Agent X (VX) adsorption on structural and electronic properties of BN nanosheet, nanotube and nanocage – A DFT-D3 study, Journal of Cluster Science, 2024 📅

💊 Theoretical insights on the interaction between p-synephrine and Metformin: A DFT, QTAIM and Drug-Likeness investigation, Computational and Theoretical Chemistry, 2024 📅

⚛️ Synergistic effects of Co-Mn co-doping on structural and optical properties of TiO₂ nanospheres: Dual functions for DSSC photoanodes and photocatalyst, Journal of Alloys and Compounds, 2024 📅

🔆 Structural and opto-electronic engineering with ZnS ETL via PVD technique for efficient and durable heterojunction perovskite solar cells, Optical Materials, 2024 📅

🔋 Bandgap engineering of CuO/TiO₂ nanocomposites and their synergistic effect on dye-sensitized solar cell performance, Optical Materials, 2024 📅

🧫 Adsorption behavior of VX nerve agent on X₁₂Y₁₂ nanocages: A density functional theory study, Structural Chemistry, 2023 📅

Tymon Nieduzak | Renewable Energy | Best Researcher Award

Posted on 24/02/202524/02/2025 by ScienceFather

Tymon Nieduzak | Renewable Energy | Best Researcher Award

Mr. Tymon Nieduzak, Columbia University , United States.

Tymon Nieduzak is a dedicated researcher and Ph.D. candidate in Engineering Mechanics at Columbia University 🎓. His expertise spans structural health monitoring, multifunctional composites, and machine learning sensor fusion 🤖. With a strong background in mechanical engineering, he has contributed to projects on EV battery enclosures, wind turbine monitoring, and plasma reactors 🌱. Tymon has collaborated with top institutions like Oak Ridge National Laboratory, MIT, and Harvard. His technical skills include MATLAB, Python, and data analytics 🖥️. Recognized with multiple awards 🏆, he continues to push boundaries in smart materials and sensor technology for next-generation engineering solutions.

Publication Profile

Scopus

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Education & Experience

Ph.D. in Engineering Mechanics, Columbia University (2023-Present) 🏛️
- Research in sensing, monitoring, and robotics technology 🤖
M.S. in Mechanical Engineering, UMASS Lowell (2022-2023) 🏫
- Specialized in structural dynamics & acoustic systems 🔊
B.S. in Mechanical Engineering, UMASS Lowell (2018-2021) 🛠️
- Focus on design theory, control systems, and solid mechanics ⚙️
Research & Work Experience
- Columbia University: Ph.D. research in sensor development & machine learning 🔬
- UMASS Lowell: Structural health monitoring for wind turbines & airships 🌬️
- MIT & Harvard: Plasma reactor projects for energy & biomedical applications ⚡

Suitability Summary

Mr. Tymon Nieduzak, a Ph.D. researcher in Engineering Mechanics at Columbia University, has demonstrated exceptional research capabilities, innovation, and leadership in the fields of sensing, monitoring, robotics, and multifunctional composite materials. His groundbreaking contributions to machine learning-driven sensor fusion, structural health monitoring (SHM), and plasma-based energy applications make him a highly deserving recipient of the Best Researcher Award. His research not only advances scientific knowledge but also has direct industry applications in renewable energy, aerospace, and electric vehicle (EV) battery technology.

Professional Development

Tymon Nieduzak has built a strong foundation in research and development through hands-on experience in sensor technology, machine learning, and structural monitoring 🏗️. His work involves real-world applications, including fireproof EV battery enclosures and AI-enhanced monitoring of wind turbines 🌍. His leadership in digital manufacturing and plasma reactor design has led to publications and collaborations with top research institutions 🏛️. With expertise in MATLAB, Python, and image processing, Tymon excels in data analytics and experimentation 📊. His dedication to innovation and interdisciplinary problem-solving makes him a valuable asset in advancing engineering mechanics and smart material applications 🚀.

Research Focus

Tymon Nieduzak specializes in smart sensing, machine learning-driven sensor fusion, and multifunctional composite materials 📡. His research aims to enhance structural health monitoring, particularly in renewable energy, aerospace, and electric vehicle applications ⚡. His contributions include developing AI-powered embedded sensors for fireproof EV battery enclosures, wind turbine monitoring using motion magnification, and novel plasma reactors for sustainable energy solutions 🌱. He integrates computational modeling, digital signal processing, and advanced manufacturing to solve engineering challenges 🏗️. By merging material science, robotics, and AI, Tymon is shaping the future of smart infrastructure and resilient engineering systems 🤖.

Awards & Honors

Dean’s Scholarship (UMASS Lowell) 🎓
Immersive Scholars Scholarship (UMASS Lowell) 📚
Pi Tau Sigma International Honor Society for Mechanical Engineers ⚙️
Tau Beta Pi Engineering Honor Society 🔧
John & Abigail Adams Scholarship 💡
Harold William Flood Scholarship 🏅
Dandaneau Family Endowed Scholarship 🎖️
Sigma Phi Omicron Fraternity 🏛️
Student Research and Community Engagement Symposium Winner (2022, 2023) 🏅
Dean’s Medal for Outstanding Academic Achievement in Mechanical Engineering (2022, 2023) 🏆
Craig Douglas Award 🏅
ASME Best Student Paper Award SMASIS 2024 📜

Publication Top Notes

“Heat transfer model for temperature-sensing polymer composite EV battery enclosure” – 2025

Vikram Singh | Renewable Energy | Best Researcher Award

Posted on 30/01/202530/01/2025 by ScienceFather

Vikram Singh | Renewable Energy | Best Researcher Award

Mr. Vikram Singh, National Institute of Technology, India.

Vikram Singh is a dedicated researcher and educator in electrical engineering, specializing in fault detection and reconfiguration in multilevel inverters for renewable energy systems . Currently pursuing a Ph.D. at NIT Raipur, he has extensive experience in power electronics, artificial intelligence applications, and renewable energy. With a strong background in hardware and software simulation, he has contributed to multiple international conferences and journals . Vikram has also worked as an Assistant Professor at Kalinga University and actively participates in academic workshops and training programs. His passion for innovation and academic excellence drives his research in power system resilience.

Publivation Profiles

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Education and Experience

Ph.D. (Pursuing) – NIT Raipur, Specialization: AI-Based Fault Detection in Multilevel Inverters (2021-Present)
M.Tech (Electrical Power & Energy Systems) – NIT Srinagar, 2016-2018
B.E. (Electrical Engineering) – SSGI Bhilai, 2011-2015
12th (HSC) – BMV Raipur, 2010-2011
10th (SSC) – BMV Raipur, 2008-2009

Work Experience:
Research Scholar – NIT Raipur (2021-Present)
Assistant Professor – Kalinga University, Raipur (Nov 2019 – Jan 2021)

Suitability summary for best researcher Award

Mr. Vikram Singh, a promising researcher and Ph.D. candidate in Electrical Engineering at the National Institute of Technology, Raipur, is awarded the Best Researcher Award for his exceptional contributions in the fields of power electronics, fault detection, and renewable energy systems. His pioneering work, particularly in the application of artificial intelligence techniques in multilevel inverters and renewable energy systems, has had a significant impact on the development of smarter and more resilient power systems. Vikram’s innovative approach and dedication to advancing energy solutions make him a standout researcher in his field.

Professional Development

Vikram Singh is deeply committed to continuous learning and professional growth in power electronics and renewable energy systems . He has successfully cleared GATE (2016, 2017, 2018) and completed a certified Python Data Analytics course . Actively involved in academic workshops and conferences, he participated in PhD Summer Schools at IIT Bhubaneswar and MANIT Bhopal . He has also contributed as an organizer for SERB-sponsored workshops. His expertise spans MATLAB, Simulink, PSIM, PLECS, FPGA, and dSPACE controllers, enhancing his analytical and simulation skills for cutting-edge research in AI-powered fault detection.

Research Focus

Vikram Singh’s research primarily focuses on power electronics, artificial intelligence, and renewable energy systems . His Ph.D. work revolves around AI-based fault detection and reconfiguration in multilevel inverters, crucial for enhancing the reliability and efficiency of standalone and grid-connected renewable energy systems. His expertise extends to machine learning algorithms, FPGA-based control systems, and hybrid inverter design. Vikram has published extensively in IEEE, Springer, and SCI-indexed journals, contributing to advancements in fault-tolerant power systems. His work aims to develop intelligent, resilient, and sustainable energy solutions for the future of renewable power generation.

Publication Top Noted

1️⃣ Switch fault identification scheme based on machine learning algorithms for PV-Fed three-phase neutral point clamped inverter ( e-Prime – Advances in Electrical Engineering, Electronics and Energy, 2024)

2️⃣ Open circuit fault diagnosis and fault classification in multi-level inverter using fuzzy inference system ( Serbian Journal of Electrical Engineering, 2023)

3️⃣ Combined Wavelet and ANN-Based Open-Switch Fault Detection and Classification in PV-Fed Multilevel Inverter ( Journal of The Institution of Engineers (India): Series B, 2023)

4️⃣ Open Switch Fault Diagnosis of Three-Phase Battery-Fed Capacitor Clamped Inverter using Machine-Learning Algorithm ( 1st International Conference on Circuits, Power and Intelligent Systems (CCPIS), 2023)

5️⃣ Open-Switch Fault Detection and Classification in Five-Level Neutral-Point-Clamped Inverter by Using Fuzzy Interface System ( IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), 2022)

6️⃣ Harmonic Reduction and Reactive Power Improvement using Shunt Active Power Filter and Thyristor-Controlled Reactor ( Second International Conference on Power, Control and Computing Technologies (ICPC2T), 2022)

7️⃣ Performance Evaluation of A Shunt Active Power Filter For Current Harmonic Elimination ( IEEE Region 10 Symposium (TENSYMP), 2021)