Tag: Engineering Leadership Award

SAFIoV: A Secure and Fast Communication in Fog-Based IoV Using SDN and Blockchain

Education 🎓

Ph.D. in Computer Engineering (2018 – 2022) – Wayne State University, USA
M.Sc. in Electrical and Computer Engineering (2016 – 2017) – Wayne State University, USA
B.Sc. in Computer Engineering (2008 – 2013) – Qassim University, KSA

Experience 👨‍🏫

Qassim University (2022 – Present) – Assistant Professor, now Head of the Computer Engineering Department (2024–Present)
Wayne State University (2016 – 2022) – Research Assistant in IoT and Security Labs
STC Company (2013) – Network Engineer
Consultations:
- Ford Motor Company (2020 – 2022) – Embedded Systems Consultant for Electric Vehicles
- Verizon Company (2021–2022) – V2V Infrastructure Consultant
- City of Detroit (2021–2023) – IoV Consultant

Research Interests 🔬

Internet of Vehicles (IoV) and Fog Computing
Software-Defined Networking (SDN) for Smart Transportation
Blockchain-based Security Solutions
Machine Learning for Secure Communication Systems

Awards 🏆

Head of IoT Research Lab – Wayne State University
Head of Research Committee – Qassim University (2023 – Present)

Publications Top Notes: 📚

IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021

A Lightweight and Fog-Based Authentication Scheme for Internet-of-Vehicles

IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEM-CON), 2021

PPIoV: A Privacy-Preserving Framework for IoV-Fog Using Federated Learning and Blockchain

IEEE World AI IoT Congress, 2022

Insight into IoT Applications and Common Practice Challenges

Insight Journal, 2022

A hybrid software-defined networking approach for enhancing IoT cybersecurity with deep learning and blockchain in smart cities

SDN-Enabled Efficient Resource Utilization in a Secure, Trustworthy and Privacy Preserving IOV-Fog Environment

Jebin Samuvel T | Engineering | Global Impact in Research Award

Published on 20/03/202520/03/2025 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

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

🎓 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:

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

Design & Analysis Modification of Alloy wheel to proper heat dissipation for cars

Design & Fabrication of RC Radial Engine Test Rig for UMS Technologies, Coimbatore

Lilian Huang | Engineering | Best Researcher Award

Published on 06/03/202506/03/2025 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

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

🎓 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:

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

huayu qi | Engineering | Best Researcher Award

Published on 19/02/202519/02/2025 by Popular Scientist

Mr. huayu qi | Engineering | Best Researcher Award

Shandong University of Technology China

Qi Huayu is a dedicated researcher and master’s student at Shandong University of Technology. With a strong focus on particle morphology quantification, Qi has contributed significantly to developing innovative methods for characterizing particle structures. Through rigorous research, Qi aims to advance scientific understanding and practical applications in the field of particle analysis.

Profile

“Particle morphology quantification and regeneration based on triangle side ratio”

Education 🎓

Master’s Degree | Shandong University of Technology

Experience 👨‍🔬

Engaged in research on particle morphology quantification and regeneration.
Published multiple papers in high-impact scientific journals.
Developed quantitative analysis methods for particle characterization.

Research Interests 🔬

Particle Morphology Quantification
Triangle Side Ratio Method for Angularity Characterization
Multi-scale Particle Morphological Analysis
Application of Morphology Analysis in Engineering and Material Science

Awards 🏆

Best Researcher Award (Nominee, 2025)
Recognition for innovative contributions in particle morphology quantification.

Publications Top Notes: 📚

Granular Matter (2025)

DOI: 10.1007/s40571-025-00919-y

Cited by: Pending citation data

“Triangle Side Ratio Method for Particle Angularity Characterization: From Quantitative Assessment to Classification Applications”

Granular Matter (2024)

DOI: 10.1007/s10035-024-01449-9

Cited by: Pending citation data

“Multi-scale morphological quantification of particle based on altitude-to-chord ratio”

Yue-Der Lin | Engineering | Best Researcher Award

Published on 27/01/202527/01/2025 by Popular Scientist

Prof. Yue-Der Lin | Engineering | Best Researcher Award

Professor Feng Chia University/Department of Automatic Control Engineering Taiwan

🎓 Dr. Yue-Der Lin is a Professor at the Department of Automatic Control Engineering, Feng Chia University, Taiwan. With extensive experience in biomedical engineering, he specializes in biopotential amplifier design, adaptive signal processing, and EEG signal analysis. His research bridges biomedical and electronic engineering, contributing significantly to advancements in biopotential measurement and bioinformatics.

Profile

Lin, Y.-D., Chong, F.-C., Sung, S.-M., et al. “The calculation of complexity in normal and apoplectic EEG signals.” Journal of the Chinese Institute of Engineers, Vol. 21, No. 5, pp. 585-594, 1998. Cited by 56

Education

📘 Ph.D. in Electrical Engineering (Biomedical Engineering Program)
National Taiwan University, Taiwan (1992–1998)
📘 Master’s in Electrical Engineering (Biomedical Engineering & Electronic Circuit Programs)
National Taiwan University, Taiwan (1987–1989)
📘 Bachelor’s in Electrical Engineering (Control Program)
Chung Yuan Christian University, Taiwan (1983–1987)

Professional Experience

💼 Professor, Department of Automatic Engineering, Feng Chia University (2019–Present)
💼 Director, Department of Automatic Engineering (2016–2017)
💼 Director, Master’s Program of Biomedical Informatics and Biomedical Engineering (2014–2017)
💼 Visiting Scholar, Department of Electrical and Computer Engineering (2007)

Research Interests

🔬 Dr. Lin’s research focuses on:

Biopotential amplifier design
Adaptive signal processing
Biomedical signal analysis (EEG, EMG)
Bioinformatics systems
Advanced imaging techniques in biomedical engineering

Honors and Awards

🏆 Excellent Research Award, Feng Chia University (2005, 2007–2009, 2011–2019, 2021–2024)
🏆 Distinguished Scholar Award, National Science and Technology Council, Taiwan (2014–2015, 2018–2020, 2022–2024)
🏆 Albert Nelson Marquis Lifetime Achievement Award (2017–2018, 2020)
🏆 Marquis Who’s Who in the World (2008–2010, 2012–2020)
🏆 IBC Leading Engineers of the World (2008, 2013, 2015)

Publications Top Notes:

📚 Below are Dr. Yue-Der Lin’s selected publications with publication year, journal, and citation details:

Lin, Y.-D., Wu, C.-P., et al. “An active comb filter structure for harmonic interference removal.” Journal of the Chinese Institute of Engineers, Vol. 21, No. 5, pp. 605-610, 1998. Cited by 40

Lin, Y.-D., et al. “Preamplifier with a second-order high-pass filtering characteristic.” IEEE Transactions on Biomedical Engineering, Vol. 46, No. 5, pp. 609-612, 1999. Cited by 95

Lin, Y.-D., et al. “An adaptive power-line interference removal technique for biopotential measurement.” Biomedical Engineering—Applications, Basis and Communications, Vol. 12, No. 1, pp. 24-32, 2000. Cited by 23

Lin, Y.-D., et al. “Comments on ‘Line patterns in the mosaic electric properties of human skin—A cross-correlation study’.” IEEE Transactions on Biomedical Engineering, Vol. 49, No. 3, pp. 274, 2002. Cited by 15

Use of acupressure to improve gastrointestinal motility in women after trans-abdominal hysterectomy

Aminoguanidine prevents the impairment of cardiac pumping mechanics in rats with streptozotocin and nicotinamide‐induced type 2 diabetes

A novel approach for decomposition of biomedical signals in different applications based on data-adaptive Gaussian average filtering

Soroush Zare | Engineering | Best Researcher Award

Published on 22/01/202522/01/2025 by Popular Scientist

Dr. Soroush Zare | Engineering | Best Researcher Award

Greadaute Research Assistant University of Virginia United States

📚 Soroush Zare is a dedicated Ph.D. Candidate in Mechanical and Aerospace Engineering at the University of Virginia. With expertise in robotics, soft exoskeletons, and Brain-Computer Interface (BCI) technologies, he specializes in designing advanced systems for rehabilitation and assistive applications. His research integrates AI-driven controls with cutting-edge mechanical design.

Profile

NeuroMotion: EEG-Based Motor Imagery Control of Wearable Exoskeleton (In preparation).

Education

🎓 University of Virginia (2023–Present)

Ph.D. in Mechanical and Aerospace Engineering (GPA: 4.0/4.0)
Focus: EEG-based motor imagery for wearable textile robotics under an NSF-funded project.

🎓 University of Tehran (2018–2021)

M.S. in Mechanical Engineering (GPA: 3.9/4.0)
Thesis: Deep Reinforcement Learning Control of Suspended Cable-Driven Robots.

🎓 Shiraz University (2014–2018)

B.S. in Mechanical Engineering (GPA: 3.6/4.0)
Thesis: Modeling and analysis of bladeless wind turbines.

Experience

💼 Research Assistant, University of Virginia (2023–Present)

Developed wearable soft rehabilitation exoskeletons integrating EEG technologies.
Innovated reinforcement learning frameworks for intuitive robotic control.

💼 Research Assistant, York University (2022–2023)

Led projects on robotic grasping using deep reinforcement learning.

💼 Research Assistant, University of Tehran (2018–2022)

Advanced control techniques for Cable-Driven Parallel Robots (CDPRs).

Research Interests

🔬 Robotics, soft exoskeletons, Brain-Computer Interface (BCI) technologies, deep reinforcement learning, EEG-based motor imagery classification, and AI-driven assistive technologies.

Awards

🏆 Honors & Achievements

NSF Student Travel Award, IEEE/ACM CHASE (2024)
GRADESTAR Fellowship (2023, 2024)
Chairperson’s Fellowship (2023)
Ranked 2nd among solid design students at Shiraz University.

Publications Top Notes:

📄 Recent Publications

Kinematic analysis of an under-constrained cable-driven robot using neural networks

Wearable upper limb robotics for pervasive health: A review

Experimental study on the control of a suspended cable-driven parallel robot for object tracking purpose

Reconstructing 3-D Graphical Model Using an Under-Constrained Cable-Driven Parallel Robot

Understanding Human Motion Intention from Motor Imagery Eeg Based on Convolutional Neural Network

A Low-Cost Wearable Exoskeleton for Sitting and Standing Assistance

EEG Motor Imagery Classification using Integrated Transformer-CNN for Assistive Technology Control

MIMO Dynamic Control of a Suspended Underactuated Cable Robot Using Genetic Algorithm

Minmin Yang | Engineering | Best Researcher Award

Published on 09/01/202509/01/2025 by Popular Scientist

Ms. Minmin Yang | Engineering | Best Researcher Award

master Northwestern Polytechnical University China

Minmin Yang is a dedicated researcher and aspiring architect specializing in environmental design and architectural theory. With a strong academic foundation and extensive hands-on experience in sustainable design, Minmin has contributed to innovations in green architecture and thermal environment optimization. She is passionate about creating sustainable and human-centered architectural solutions, particularly in regions with intensive environmental challenges.

Profile

Education 🎓

Master of Engineering (Expected)
Northwestern Polytechnical University (2021-2024)
Major: Architectural Design and Theory | Weighted Average Score: 87.68/100
Bachelor of Arts
Shanxi University (2017-2021)
Major: Environmental Design (Landscape) | Weighted Average Score: 87.72/100

Professional Experience 🏢

Honing Studio (Assistant Designer)
Designed waterscapes for the Yantai Yadong Seven Cultural Park project, recognized by the French GPDP International Design Award.
L&A Design (Team Leader)
Analyzed site sunlight and wind impacts using Rhino and Grasshopper and contributed to innovative energy-saving display designs for plateau regions.

Research Interests 🔬

Sustainable building design and energy efficiency
Thermal comfort and sunlight evaluation in residential and public spaces
Innovative methods for reducing carbon emissions in architecture

Awards & Honors 🏆

Silver Award at the 2023 China International “Internet+” Competition for innovative cultural heritage preservation.
Golden Award at the 2022 China International “Internet+” Competition for Qingzhu Technology, focusing on dual carbon goals.
Bronze Prize at the 12th Challenge Cup China College Student Entrepreneurship Competition (2020).

Publications Top Notes: 📚

“An Empirical Study of the Effects of Green Roof on the Outdoor and Indoor Thermal Environment of College Buildings in Winter”
Published in CEAC 2023, March 2023.
Cited by 5 Articles.

“A Case Study on the Design Model of Sunroom in New Rural Houses in West China from the Perspective of Carbon Emission”
Published in CEAC 2023, March 2023.
Cited by 3 Articles.

“Investigation on the Influence of Insolation on Winter Thermal Comfort of Outdoor Activity Space on Campus in a Cold Region of China”
Published in CEAC 2023, March 2023.
Cited by 7 Articles.

“Evaluation of PV Utilization Potential of University Building Roofs Based on PVsyst Software Simulation”
Published in CEAC 2023, March 2023.
Cited by 4 Articles.

“From Whole Building to Partial Sketches – Analysis of the Design Significance of Xiangshan Hotel”
Published in Urban Architecture, August 2019.
Cited by 12 Articles.

yang minmin | Engineering | Best Paper Award

Published on 07/01/202507/01/2025 by Popular Scientist

Ms. yang minmin | Engineering | Best Paper Award

master Northwestern Polytechnical University China

Minmin Yang is an accomplished graduate student and researcher specializing in architectural design and environmental sustainability. With a keen interest in innovative design approaches and green architecture, she has made significant contributions to thermal environment studies, sustainable building practices, and renewable energy utilization.

Profile

Education 🎓

Northwestern Polytechnical University (2021–2024)
Master of Engineering in Architectural Design and Theory
- Weighted Average Score: 87.68/100 | Major Score: 87.18/100
Shanxi University (2017–2021)
Bachelor of Arts in Environmental Design (Landscape)
- Weighted Average Score: 87.72/100 | Major Score: 88.77/100

Experience 💼

Honing Studio (Assistant Designer)
Led waterscape landscape designs for the Yantai Yadong Seven Cultural and Creative Park, earning a selection for the French GPDP International Design Award.
L&A Design (Team Leader)
Utilized tools like Rhino and Grasshopper for sunlight and wind analysis, developed heat-collecting display windows, and calculated carbon reduction through photovoltaic energy.

Research Interests 🔍

Green Roof Thermal Studies 🌱
Sunlight Evaluation in Western Plateau Residential Areas ☀️
Thermal Comfort in Cold-Climate Campuses ❄️
Integration of Photovoltaic Systems in University Buildings ⚡

Awards 🏆

Silver Award at the 2023 9th China International “Internet+” Innovation Competition
Golden Award at the 2022 8th China International “Internet+” Innovation Competition
Bronze Prize in the 12th Challenge Cup China College Student Entrepreneurship Competition (2020)
Gold Prize in the Shanxi Province ‘Xingjin Challenge Cup’ College Competition (2020)

Publications Top Notes: 📚

“An Empirical Study of the Effects of Green Roofs on the Thermal Environment”
2023 The 3rd International Civil Engineering and Architecture Conference (CEAC2023)

Authors: Minmin Yang, Yu Liu, Yiming Zhang, Yufei Zou, Jie Song, Ni Zhang

Cited by: 10 articles

“Design Model of Sunroom in Rural Houses for Carbon Emission Reduction”
2023 CEAC2023

Authors: Yiming Zhang, Yu Liu, Minmin Yang, et al.

Cited by: 8 articles

“Influence of Insolation on Winter Campus Comfort”
2023 CEAC2023

Authors: Jie Song, Yu Liu, Minmin Yang, et al.

Cited by: 5 articles

“Evaluation of PV Utilization Potential in University Roofs”
2023 CEAC2023

Authors: Yufei Zou, Yu Liu, Minmin Yang, et al.

Cited by: 7 articles

“Design Significance of Xiangshan Hotel Sketches”
Urban Architecture Journal (2019)

Author: Minmin Yang

Cited by: 15 articles

Jingyang Mao | Engineering | Best Researcher Award

Published on 30/12/202430/12/2024 by Popular Scientist

Dr. Jingyang Mao | Engineering | Best Researcher Award

Lecturer Shanghai Institute of Technology China

🧑‍🏫 Dr. Jingyang Mao is a dedicated lecturer at the School of Electrical and Electronic Engineering, Faculty of Intelligence Technology, Shanghai Institute of Technology. With a Ph.D. in Control Science and Engineering from the University of Shanghai for Science and Technology (2022), he specializes in cutting-edge research on networked control systems and cyber-physical systems. His academic journey also includes a visiting scholar tenure at Louisiana State University, USA (2019–2021). Dr. Mao’s work bridges theoretical innovations with practical applications in modern engineering systems.

Profile