Jebin Samuvel T | Engineering | Global Impact in Research Award

Published on by Popular Scientist

Mr. Jebin Samuvel T | Engineering | Global Impact in Research Award

Research Scholar Indian Institute of Technology Madras India

Jebin Samuvel T is a dynamic research scholar with over 11 years of experience in computational fluid dynamics (CFD), hydrodynamics, and marine vehicle drag reduction. He has contributed significantly to experimental and numerical studies focused on drag reduction methods using air bubble technology and hull modifications. With a strong academic foundation and hands-on industry-oriented research, he blends theoretical expertise with practical implementation. Currently pursuing a Ph.D. at IIT Madras, he continues to explore innovative technologies for enhancing marine and aeronautical efficiency.

Profile

Scopus

Google Scholar

Orcid

🎓 Education

Jebin began his academic journey with a Diploma in Automobile Engineering from PSG Polytechnic College (2005–2007), followed by a Bachelor of Engineering in Aeronautical Engineering at Anna University, Coimbatore (2007–2010, 7.6 CGPA). He then completed a Master’s in Aeronautical Engineering at Park College of Engineering and Technology (2010–2012, 7.9 CGPA). Presently, he is pursuing his Doctorate in Ocean Engineering at IIT Madras (2018–Present, 7.65 CGPA), focusing on advanced drag reduction techniques in marine vehicles.

💼 Experience

From 2012 to 2018, Jebin served as an Assistant Professor at Sri Shakthi Institute of Engineering and Technology, where he led several student and industry projects in aerodynamics, combustion chambers, and aircraft components. Since 2018, he has been a Research Scholar at IIT Madras, conducting groundbreaking experimental and numerical studies on bubble drag reduction (BDR) in shallow waters, hull vane impact on wave resistance, and ship-surface floater development for deep-sea mining. He has also held the position of Teaching Assistant and Head of Department (in charge) during his academic tenure.

🔬 Research Interests

Jebin’s research primarily focuses on:

  • 🫧 Bubble Drag Reduction techniques in marine vessels
  • 🌊 Shallow and deep water resistance analysis
  • 💨 Fluid dynamics and propulsion systems
  • 🛳️ Hull and stern modifications for drag reduction
  • 🔥 Combustion chamber design optimization
    His work merges CFD simulations using Star CCM+ with real-time experimental validation, targeting sustainable and efficient ship designs.

🏆 Awards & Achievements

  • 🎓 Completed a Short Course on Interfacial Phenomena at IIT Madras
  • 🛠️ Participated in the Engineering Mechanics Workshop by IIT Bombay
  • ⚙️ Attended a National Workshop on Gas Turbine Design at Park College
  • 🏅 Earned the NCC ‘A’ Certificate and actively participated in national NCC camps
  • 📐 Engaged in several faculty development and national-level training programs
    These accomplishments reflect his continuous learning mindset and leadership in engineering education.

📚 Publications Top Notes: 

Samuvel, J. T., Gokulakrishnan, M., Kumar, A., & Ramamurthy, V. (2022). Numerical Estimation of Frictional Drag on Flat Plate In Shallow Water with & without BDR. OCEANS 2022 – Chennai. Cited by: 3

Gokulakrishnan, M., Samuvel, J. T., Kumar, A., & Ramamurthy, V. (2022). Numerical prediction of hydrodynamic forces and moments of KCS in shallow water. OCEANS 2022 – Chennai. Cited by: 2

Impact of Water Depth on the Resistance of a Mini-Bulk Carrier: An Experimental and Numerical Study

Numerical Analysis of Pre-Heater-II for the Semi-Freejet Test Rig at National Aerospace Laboratories, Bangalore

Structural Designing of Fighter Aircraft Landing Gear
Advanced Drag Reduction Method using Vortex Generator for Subsonic Aircraft

Lilian Huang | Engineering | Best Researcher Award

Published on by Popular Scientist

Prof. Lilian Huang | Engineering | Best Researcher Award

Professor Harbin Engineering University China

Lilian Huang is a professor at the School of Information and Communication Engineering, Harbin Engineering University. With a strong background in navigation, guidance, and control, she has made significant contributions to fractional-order chaotic systems, nonlinear dynamics, and chaos-based encryption. Her research has been widely published in high-impact journals, and she holds multiple patents related to chaotic system control and encryption techniques.

Profile

Scopus

🎓 Education

Lilian Huang earned her Ph.D. (2005) and Master’s (2002) in Navigation, Guidance, and Control from Harbin Institute of Technology. She completed her Bachelor’s in Automation from Zhongyuan University of Technology in 1996. Her academic journey laid a strong foundation for her expertise in control systems and nonlinear dynamics.

💼 Experience

Currently serving as a professor at Harbin Engineering University since 2012, Lilian Huang has also worked as an associate professor (2005-2012) and postdoctoral researcher (2005-2008) at the same institution. She was a visiting scholar at the University of Delaware in 2016-2017. Before joining academia, she worked as an assistant engineer at Harbin Dong’an Engine Manufacturing Co., Ltd. (1996-2000), gaining industry experience.

🔬 Research Interests

Lilian Huang’s research focuses on fractional-order chaotic systems, nonlinear dynamics, and chaos control. She explores their applications in encryption, secure communication, and dynamic system analysis. Her work contributes to developing novel chaotic systems with enhanced security features for information processing.

🏆 Awards & Recognitions

She has led several prestigious research projects funded by the National Natural Science Foundation of China and Heilongjiang Province. Her innovations in chaos-based encryption and nonlinear control have been recognized through numerous patents and high-impact publications.

📚 Publications Top Notes: 

Multi-Image Encryption Algorithm Based on Novel Spatiotemporal Chaotic System and Fractal Geometry – IEEE Transactions on Circuits and Systems I, 2024. Read here

Design and Implementation of Grid-Wing Hidden Chaotic Attractors with Only Stable Equilibria – IEEE Transactions on Circuits and Systems I, 2023. Read here

Generating Multiwing Hidden Chaotic Attractors with Only Stable Node-Foci – IEEE Transactions on Industrial Electronics, 2024. Read here

A Construction Method of N-Dimensional Non-Degenerate Discrete Memristive Hyperchaotic Map – Chaos, Solitons & Fractals, 2022. Read here

A Novel 3D Non-Degenerate Hyperchaotic Map with Ultra-Wide Parameter Range and Coexisting Attractors – Nonlinear Dynamics, 2023. Read here

Exploring extreme multistability in cyclic symmetric conservative systems via two distinct methods

Image encryption based on 2D-SAHM chaotic system and a novel DNA operation rule

Locally Active Memristor-Based De-Jong map and Information Hiding

 

Geleta Fikadu | Engineering | Best Researcher Award

Published on by Popular Scientist

Assist. Prof. Dr. Geleta Fikadu | Engineering | Best Researcher Award

Ph.D adama science and Technology university Ethiopia

🎓 Dr. Geleta Fekadu Daba, an accomplished expert in Thermal Engineering, earned his Ph.D. from the prestigious Indian Institute of Technology Roorkee (IITR) in 2020. His career spans academia, research, and engineering innovation, focusing on renewable energy systems and automotive engineering. Currently an Assistant Professor at Wollega University, Ethiopia, Dr. Daba actively contributes to energy-efficient technologies, especially solar-assisted liquid desiccant air conditioning systems.

Profile

Google Scholar

Education

🎓 Ph.D. in Thermal Engineering – Indian Institute of Technology Roorkee, India (2020)
🎓 M.Sc. in Automotive Engineering – Adama Science and Technology University, Ethiopia (2013)
🎓 B.Sc. in Automotive Technology – Adama Science and Technology University, Ethiopia (2005)

Professional Experience

🛠 Assistant Professor, Department of Mechanical Engineering, Wollega University, Ethiopia (2015–Present)

  • Delivered courses on thermodynamics, fluid mechanics, and renewable energy systems.
  • Supervised graduate students and coordinated departmental research projects.
  • Led innovative studies on solar energy applications and energy optimization.

Research Interests

🔬 Dr. Daba’s research encompasses renewable energy, automobile engineering, thermodynamics, heat and mass transfer, nano-fluids for heat transfer, and solar energy systems. His work emphasizes practical solutions for sustainable development and energy efficiency.

Awards and Recognition

🏆 Received 33 lac INR funding for his Ph.D. project on solar-assisted liquid desiccant air conditioning from the Department of Science and Technology, India.

Publications

📚 Dr. Daba has published extensively in reputed journals and conferences. Below are selected works with links:

Renewable energy for liquid desiccants air conditioning system: A review

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al2O3–Water Nanofluid and Water

Comparative performance evaluation of gasoline and its blends with ethanol in gasoline engine

Liquid desiccant air conditioning using single Storage solution tank, evaporative cooling, and marquise-shaped solar collector

Study of Performance of Solar Flat Plate Collector Using Al2O3/Water Nanofluids

Experimental Study of Internally− Cooled Dehumidification of Liquid Desiccant for a Single Storage Tank

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al2O3–Water Nanofluid and Water

Performance analysis of a compact liquid desiccant cooling system

Weijun Wang | Engineering | Best Researcher Award

Published on by Popular Scientist

Dr. Weijun Wang | Engineering | Best Researcher Award

Student Changchun University of Technology China

🌟 Weijun Wang (王威珺) is a researcher in the field of Statistics, currently pursuing a Ph.D. at Changchun University of Technology, China. With expertise spanning fault diagnosis, data-driven designs, and dynamic systems, Weijun Wang has made significant contributions to high-speed train traction systems and other advanced engineering applications.

Profile

Scopus

Education

🎓 Weijun Wang’s academic journey includes:

  • Ph.D. in Statistics (2021–Present): Changchun University of Technology.
  • Master’s in Information and Communication Engineering (2018–2021): Changchun University of Technology.
  • Bachelor’s in Electronic Information Engineering (2014–2018): Changchun University of Technology.

Experience

👩‍🔬 Weijun Wang has extensive experience in developing innovative fault detection methods, dynamic system models, and data-driven algorithms. Collaborating on multidisciplinary projects, she has co-authored several impactful journal and conference papers.

Research Interests

🔬 Weijun Wang’s research focuses on:

  • Fault detection and diagnosis.
  • Data-driven modeling for high-speed train traction systems.
  • Dynamic systems, robust designs, and performance prediction.

Awards

🏆 First Prize: National Finals at RAICOM, 2024.
🏅 Innovation Award: 3rd China Urban Rail Transit Science and Technology Innovation Competition, 2022.

Publications

A Martingale Posterior-Based Fault Detection and Estimation Method for Electrical Systems of Industry

Dynamic Fault Detection Method of Traction Systems in High-Speed Trains Based on Joint Observer

Data-Driven Robust Designs of Performance Prediction and Its Application in High-speed Trains

Enhanced Fault Diagnosis Using Broad Learning for Traction Systems in High-Speed Trains

State Estimation with Partial Random Walk

State-degradation-oriented fault diagnosis for high-speed train running gears system

Fault prediction of high-speed train running gears based on hidden markov model and analytic hierarchy process

Multi-sensor system filtering and fault detection under unbiased constraint and colored measurement noise