Tag: Engineering Leadership Award

Education 🎓

Hafsa completed her B.Sc. in Telecommunication Engineering in 2015 with a CGPA of 3.78/4.00, and later earned her M.Sc. in Telecommunication Engineering in 2017 with a CGPA of 3.79/4.00, both from the University of Engineering and Technology (UET), Taxila, Pakistan. Currently, she is pursuing her Ph.D. at Macquarie University, working on smart RFID sensor systems for IoT applications.

Professional Experience 💼

As part of her doctoral journey, Hafsa has worked as a Teaching Associate at Macquarie University, actively supporting undergraduate courses. Her role involved lectures, lab sessions, and student mentoring, enabling her to blend cutting-edge research with academic leadership. She also collaborates with interdisciplinary teams to design real-world applicable sensor systems.

Technical Skills 🛠️

Her core strengths lie in chipless RFID design, electromagnetic modeling, wireless communication systems, and flexible sensor fabrication. She is skilled in tools and techniques for antenna design, EM simulations, and printable electronics, with a focus on green, passive, and cost-effective RFID systems.

Teaching Experience👨‍🏫

Hafsa has contributed to several B.Sc. units as a Teaching Associate at Macquarie University. She has assisted in course delivery, lab experiments, and student project supervision, helping to bridge practical RFID development with academic theory.

Awards & Honors 🏅

Hafsa has been recognized with the Post Graduate Research Fund (PGRF) from Macquarie University in 2024 and is the recipient of a fully-funded Ph.D. scholarship (2022–present). Her research excellence earned her the Best Poster Presentation Award at the HDR Conference at Macquarie University in 2022, marking her as an emerging scholar in the RFID research community.

Research Interests 🔍

Her research is centered on chipless RFID tags, wireless communication, electromagnetics, and the Internet of Things (IoT). She is especially interested in developing multifunctional, battery-free RFID sensors that are capable of monitoring environmental parameters, with applications in recycling, smart infrastructure, retail, and industrial systems.

Publications Top Notes: 📝

Dual Sided Data Dense 25-bit Chipless RFID Tag

Authors: Hafsa Anam, Syed Muzahir Abbas, Subhas Mukhopadhyay, Iain Collings

Publication Year: 2023

Publication Type: Conference Paper

RFID Enabled Humidity Sensing and Traceability

Authors: Hafsa Anam, Syed Muzahir Abbas, Iain Collings, Subhas Mukhopadhyay

Publication Year: 2023

High-density Compact Chipless RFID Tag for Item-level Tagging

Authors: Ayesha Habib, Hafsa Anam, Yasar Amin, Hannu Tenhunen

Publication Year: 2018

Internet-of-things Based Smart Tracking

Author: Hafsa Anam

Publication Year: 2017

Miniaturized Humidity and Temperature Sensing RFID Enabled Tags

Authors: Javeria Anum Satti, Ayesha Habib, Hafsa Anam, Sumra Zeb, Yasar Amin, Jonathan Loo, Hannu Tenhunen

Publication Year: 2018

Journal: International Journal of RF and Microwave Computer-Aided Engineering

Dr. Xiao Fu | Engineering | Best Researcher Award

Posted on 04/04/202504/04/2025 by Popular Scientist

Dr. Xiao Fu | Engineering | Best Researcher Award

Xi`an University Of Science And Technology, China

Profile

Education 🎓

Dr. Xiao Fu is currently pursuing her Ph.D. at Xi’an University of Science and Technology. She completed her master’s degree at Nanchang Institute of Technology and her undergraduate studies at Xi’an University of Science and Technology. Throughout her academic career, she has demonstrated exceptional dedication to research and scientific discovery.

Professional Experience 💼

Dr. Fu has made significant contributions to the field of bio-cement applications for sand stabilization. Her research focuses on enhancing soil mechanical properties using plant-based bio-cement and organic materials. She has published in leading journals, including Applied Biochemistry and Biotechnology and Bioresources & Bioprocessing, collaborating with experts to develop eco-friendly solutions for soil reinforcement.

Technical Skills 🛠️

Dr. Fu is highly skilled in geotechnical testing and analysis, biochemical soil treatment, and multivariate experimental design. Her expertise lies in combining biological and engineering principles to develop sustainable soil stabilization techniques.

Teaching & Mentorship 👨‍🏫

She actively participates in mentorship and academic guidance for postgraduate students, helping them refine their research methodologies. She also delivers guest lectures on soil mechanics and stabilization techniques, fostering knowledge exchange within the academic community.

Awards & Honors 🏅

Dr. Fu has been recognized for her outstanding academic performance, including being a top scorer in her doctoral entrance exams. Her research contributions have received acclaim for their innovation and impact in geotechnical engineering.

Research Interests 🔍

Her research focuses on sustainable soil improvement, bio-cement applications, and desert sand stabilization. Passionate about pioneering eco-friendly geotechnical solutions, Dr. Fu is dedicated to developing innovative, sustainable technologies for the future of soil engineering.

Publications Top Notes: 📝

“Experimental Study on Mechanical Properties of Cured Sand Combined with Plant-Based Bio-cement (PBBC) and Organic Materials”

Authors: Xiao Fu, Wan-jun Ye, Gang Yuan, Xue-li Zhang, Rui-yuan Niu

Publication Year: 2024

Journal: Applied Biochemistry and Biotechnology

Citations: Currently, no available citation metrics

“An experimental study on the curing of desert sand using bio-cement”

Authors: Xiao Fu, Wan-jun Ye

Publication Year: 2024

Journal: Bioresources and Bioprocessing

Citations: No citation metrics available yet

“Experimental study on the mechanical properties of desert sand improved by the combination of additives and bio-cement”

Authors: Wan-jun Ye, Xiao Fu, Yi Wu, et al.

Publication Year: 2024

Journal: Bioprocess and Biosystems Engineering

Citations: No citation data available at this time

“Soybean urease induced calcium carbonate precipitation multivariate experimental study”

Authors: Meng Cui, Xiao Fu, Junjie Zheng, et al.

Publication Year: 2022

Journal: Rock and Soil Mechanics

Citations: No specific citation metrics available

Jamal Alotaibi | Engineering | Best Researcher Award

Posted on 28/03/202528/03/2025 by Popular Scientist

Assist. Prof. Dr. Jamal Alotaibi | Engineering | Best Researcher Award

Department of Computer Engineering, College of Computer, Qassim University, Buraydah, Saudi Arabia.

Dr. Jamal Alotaibi is an accomplished researcher and educator in the field of Computer Engineering. With expertise in IoT, AI, and security, he has contributed significantly to the advancement of Smart Transportation and Vehicle-to-Vehicle (V2V) communication. Currently serving as the Head of the Computer Engineering Department at Qassim University, his work focuses on secure and efficient computing frameworks for the Internet of Vehicles (IoV).

Profile

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

Posted 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

Papdo Tchasse | Engineering | Elite Academic Visionary Award

Posted on 15/03/202515/03/2025 by Popular Scientist

Mr. Papdo Tchasse | Engineering | Elite Academic Visionary Award

Institute of Forming Technology, University of Stuttgart Germany

Hans Dimitri Papdo Tchasse, born on July 14, 1996 in Cameroon 🇨🇲, is a dynamic scientific researcher in the field of forming technology, digitalization, and artificial intelligence. Currently based in Germany 🇩🇪, he works as a Research Associate at the Institute for Metal Forming Technology, University of Stuttgart. With a strong background in mechatronics and AI-driven manufacturing, he bridges academic research and industrial innovation to optimize forming processes and predictive control systems in manufacturing.

Profile

Detection of Defective Deep Drawn Sheet Metal Parts by Using Machine Learning Methods for Image Classification – WGP 2023 📅 (Cited by: 4)

🎓 Education

Hans pursued his Bachelor’s and Master’s degrees in Mechatronics from Friedrich-Alexander University Erlangen-Nuremberg (FAU) between 2016 and 2022. His Master’s thesis, graded 1.3, focused on predicting process quality using machine learning, while his Bachelor’s thesis (graded 1.7) involved autonomous collision avoidance systems for aerial robots. He also completed intensive German language training at Karlsruhe Institute of Technology (DSH 3) and the Goethe Institute Yaoundé (B1 certificate) to facilitate his academic career in Germany. 📘🔧

💼 Professional Experience

Since July 2022, Hans has been working at the University of Stuttgart, where he leads several AI-driven research projects in forming technology and supervises students. His work emphasizes process simulation, sensor technology, and digital automation. Previously, at Siemens AG – Digital Industries, he contributed to the development of HMI interfaces, PLC programming, and machine learning applications for quality optimization. His blend of industrial and academic experience uniquely positions him to innovate in the manufacturing sector. 🏭💡

🔬 Research Interests

Hans is passionate about advancing digital manufacturing, with research focused on:

Metal forming and shear cutting
Sensor-based process monitoring
Artificial Intelligence in manufacturing
Deep learning for quality prediction
Human-centered smart factories His projects aim to make production more adaptive, efficient, and intelligent, promoting sustainability and digital transformation in the automotive and metal industries. 🤖📊

🏆 Awards & Nominations

Hans is a promising young innovator being nominated for this award due to his cutting-edge contributions in intelligent forming technologies and real-world application of AI in mechanical engineering. His interdisciplinary expertise, leadership in research, and publications in reputable conferences make him a strong candidate for distinction. 🌟👏

📚 Publications Top Notes:

Hans has authored several high-impact publications in international conferences and journals, reflecting his interdisciplinary expertise.
Here’s a list of selected publications:

Temperature Prediction of Multi-Stage Cold Forging Processes Using Deep Learning – SENAFOR 2024 (upcoming) 📅

Development of an Intelligent Metal Forming Robot and Application to Multi-Stage Cold Forging – Submitted 📤

Supervised Learning Methods for the Monitoring and Prediction of the Part Quality of Multi-Stage Cold Forging Processes – ICFG 2024 (accepted) 📅

Material Characterization for Sheet Metal Forming Processes Using Deep Learning Methods for Time Series Processing – TMS 2025 (upcoming) 📅

Simulative Design of a Model-Driven Control Strategy for Deep Drawing Processes and Numerical Validation Using Deep Learning – WGP 2024 (accepted) 📅

Monitoring and Prediction of the Process Energy in Multi-Stage Cold Forging Using Recurrent and Self-Attention Based Neural Networks – Submitted 🧠

Lilian Huang | Engineering | Best Researcher Award

Posted 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

Posted 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

Posted 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

Posted 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