Tong Deng | Mechanical and Process Engineering | Best Researcher Award

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Dr. Tong Deng | Mechanical and Process Engineering | Best Researcher Award

Senior Lecturer at University of Greenwich, United Kingdom.

Short Biography 📖✨

Dr. Tong Deng (BSc, BEng, MSc, PhD, FHEA) is a distinguished expert in solids erosion, electrostatics, powder segregation, adhesion, and powder flow 🏗️🔬. With over three decades of experience in academia and industry, he serves as a Senior Lecturer and Consultant Engineer at the University of Greenwich 🎓. His extensive research has significantly contributed to industries such as food, pharmaceuticals, and energy ⚡💊. As a mentor, researcher, and educator, he has supervised numerous students and led groundbreaking projects 📚💡. Dr. Deng is a prolific author with 60+ publications, making a lasting impact in his field 📑🌍.

Profile🔍

Google Scholar

Orcid

Education & Experience 🎓🔍

✅ Doctor of Philosophy (PhD) – University of Greenwich, UK (2001) 🏛️
✅ Master of Science (MSc) in Instrumentation & Analytical Science – University of Manchester (1997) 🧪
✅ Bachelor of Engineering (BEng) in Mechatronics Engineering – Shenyang Ligong University (1992) ⚙️
✅ Bachelor of Science (BSc) in Theoretical Physics – Liaoning University (1987) 🌀

Experience:
📌 Senior Lecturer & Consultant Engineer – University of Greenwich (2014–Present) 🏫
📌 Lecturer & Consultant Engineer – University of Greenwich (2013–2014) 🎓
📌 Research & Consultant Engineer – University of Greenwich (2006–2013) 🧑‍🔬
📌 Research Fellow – University of Greenwich (2001–2006) 📖
📌 Engineer – Shenyang Light Industrial Machinery Co. Ltd, China (1989–1996) 🏭
📌 Teacher – Shenyang Coal Miner’s High School, China (1987–1989) 🎓

Professional Development 🚀📘

Dr. Tong Deng has dedicated his career to advancing research and innovation in bulk solids handling and powder technology 🏗️🔬. A Fellow of the Higher Education Academy (FHEA), he actively contributes to academia through teaching, mentoring, and supervising research students 📚🎓. His collaborations with industries and funding bodies have led to numerous groundbreaking projects in materials processing, electrostatics, and segregation science 💡💰. Dr. Deng also plays a key role in organizing international conferences, reviewing top-tier journals, and delivering professional training courses, ensuring that his expertise benefits both the scientific community and industry leaders globally 🌍🧑‍🏫.

Research Focus 🔬📊

Dr. Deng’s research revolves around the science of bulk solids handling, with a particular focus on solids erosion, electrostatics, powder segregation, adhesion, and powder flow 💨⚡. His work plays a crucial role in optimizing industrial processes for food, pharmaceuticals, minerals, and energy sectors 🌾💊⚡. He investigates particle behavior in flow systems, powder caking, and electrostatic charging to enhance manufacturing efficiency 📈🔍. With extensive funding and industry collaborations, he has developed novel techniques for powder characterization and process optimization. His research directly contributes to improving material handling, reducing energy consumption, and ensuring sustainable industrial practices ♻️🏭.

Awards & Honors 🏆🎖️

🏅 Fellow of the Higher Education Academy (FHEA) – UK (2022) 🎓
🏅 Outstanding Reviewer Award – Particuology Journal (2022-2024) 🏅
🏅 Co-chair of 9th UK-China International Particle Technology Forum – Greenwich (2023) 🌏
🏅 Scientific Advisory Committee Member – 8th UK-China PTF (2021) 🏛️
🏅 Session Chair – CHoPS International Conference (2018) 🎤
🏅 US & UK Patent Contributor – Pneumatic Conveying Feedback Control (2023, 2025) 📜💡

Publications📖

📖 A novel model for hourly PM2.5 concentration prediction based on CART and EELM – Z Shang, T Deng, J He, X Duan | Science of The Total Environment | Cited by: 104 | Year: 2019

⚙️ Effect of particle concentration on erosion rate of mild steel bends in a pneumatic conveyor – T Deng, AR Chaudhry, M Patel, I Hutchings, MSA Bradley | Wear | Cited by: 85 | Year: 2005

🔄 The influence of particle rotation on the solid particle erosion rate of metals – T Deng, MS Bingley, MSA Bradley | Wear | Cited by: 77 | Year: 2004

📏 Influence of particle size, density, particle concentration on bend erosive wear in pneumatic conveyors – R Macchini, MSA Bradley, T Deng | Wear | Cited by: 70 | Year: 2013

🧪 The effect of carbon nanotube orientation on erosive wear resistance of CNT-epoxy based composites – J Chen, IM Hutchings, T Deng, MSA Bradley, KKK Koziol | Carbon | Cited by: 52 | Year: 2014

🔄 Effect of bend orientation on life and puncture point location due to solid particle erosion of a high concentration flow in pneumatic conveyors – T Deng, M Patel, I Hutchings, MSA Bradley | Wear | Cited by: 52 | Year: 2005

📊 Determination of a particle size distribution criterion for predicting dense phase pneumatic conveying behaviour of granular and powder materials – T Deng, M Bradley | Powder Technology | Cited by: 50 | Year: 2016

Conclusion:

Dr. Tong Deng’s exceptional research output, industry collaborations, funding success, and mentorship contributions make him a top candidate for a Best Researcher Award. His work not only advances scientific understanding but also translates into real-world industrial applications, making a lasting impact on multiple sectors. 🚀🏆

Oladele Afolalu | Engineering | Best Researcher Award

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Dr. Oladele Afolalu | Engineering | Best Researcher Award

Postdoctoral Fellow at Durban University of Technology, South Africa

Dr. Oladele Felix Afolalu is a distinguished researcher and academic in the field of Electrical and Telecommunications Engineering. Born on August 29, 1976, in Nigeria, he has made significant contributions to the advancement of ICT, telecommunications, and enterprise networking. With a strong passion for innovation, he has worked extensively in academia, research, and industry collaborations to improve modern communication systems. Currently a Postdoctoral Fellow at the Durban University of Technology, South Africa, Dr. Afolalu has played a crucial role in developing cutting-edge solutions in 5G networks, interference coordination, and network optimization. His leadership in academic institutions, numerous publications, and participation in international conferences reflect his dedication to research excellence. As a member of several prestigious engineering societies, including IEEE (USA & South Africa), COREN, and MNSE, he continues to impact the engineering community through mentorship, teaching, and groundbreaking studies in the field of telecommunications and ICT.

Professional Profile

Education

Dr. Afolalu’s academic journey is marked by a strong foundation in electrical and electronic engineering, with degrees from top institutions in Nigeria and South Africa. He earned his Ph.D. in Electrical and Telecommunication Engineering from the University of Cape Town, South Africa, where he specialized in 5G network optimization and inter-cell interference coordination. Prior to that, he completed an M.Sc. in Electronic/Electrical Engineering from Obafemi Awolowo University, Nigeria, where his research focused on communication systems and signal processing. His undergraduate studies culminated in a B.Eng. (Hons.) in Electrical/Electronics Engineering from the Federal University of Technology, Akure. Additionally, he holds a National Diploma in Electrical/Electronics Engineering from Federal Polytechnic, Ado-Ekiti. His diverse academic background has provided him with expertise in ICT systems, telecommunications, and engineering education, equipping him to contribute significantly to cutting-edge research and technology advancements.

Professional Experience

Dr. Afolalu has amassed over two decades of experience in teaching, research, and academic administration. He served as Head of the Department and Principal Lecturer at Federal Polytechnic, Ede, Nigeria, where he played a key role in curriculum development, student mentorship, and research supervision. He also worked as an Adjunct Senior Lecturer and Acting Head of Department at Joseph Ayo Babalola University, where he was instrumental in advancing research initiatives in physics electronics. His postdoctoral research at Durban University of Technology, South Africa, involves cutting-edge projects in enterprise networking and ICT systems. Additionally, he has served as a tutor at the University of Cape Town, helping students enhance their understanding of telecommunication systems. Throughout his career, he has been actively involved in examination committees, research committees, and industrial training programs, contributing significantly to the development of engineering education in Nigeria and beyond.

Research Interests

Dr. Afolalu’s research is centered on wireless communication networks, telecommunications engineering, and ICT innovations. His primary focus is on 5G and beyond technologies, network optimization, and inter-cell interference coordination. His Ph.D. research on Ultra-Dense Networks (UDNs) has contributed to improving network efficiency and power allocation in next-generation communication systems. He has also explored the application of artificial intelligence in network performance enhancement, particularly in resource allocation and signal processing. Additionally, his research extends to renewable energy integration in communication networks, aiming for sustainable and efficient power management in ICT infrastructure. His contributions to machine learning applications in network traffic optimization and security have been recognized in top-tier journals. Through his extensive research, he aims to bridge the gap between theoretical telecommunications advancements and practical industry implementations, ensuring that emerging technologies are efficiently deployed for societal benefit.

Awards and Honors

Dr. Afolalu has been recognized for his outstanding contributions to research, engineering education, and technological innovation. He has received accolades for his work on 5G networks, including best paper awards at international conferences such as the Southern Africa Telecommunication Networks and Applications Conference (SATNAC). His research on carrier aggregation-enabled NOMA techniques for enhanced 5G network performance has gained global recognition. He has also been honored for his mentorship and academic leadership, particularly in the development of engineering curricula and innovative teaching methodologies. His membership in prestigious engineering societies such as IEEE, COREN, and MNSE further highlights his excellence in the field. Additionally, he has participated as a panelist and keynote speaker at workshops and conferences, where his expertise in wireless communication and ICT infrastructure has been widely acknowledged. His commitment to research and education continues to inspire future engineers and researchers globally.

Conclusion

Dr. Oladele Felix Afolalu has a strong research portfolio, significant academic experience, and notable contributions to ICT and 5G telecommunications. His leadership roles, professional memberships, and conference engagements make him a worthy candidate for the Best Researcher Award. Strengthening high-impact publications, industry collaborations, and international research engagements will further solidify his standing in the global research community.

Publications Top Notes

  1. Carrier Aggregation‐Enabled Non‐Orthogonal Multiple Access Approach Towards Enhanced Network Performance in 5G Ultra‐Dense Networks

    • Author(s): O Afolalu, N Ventura

    • Year: 2021

    • Citations: 10

  2. A Survey of Interference Challenges and Mitigation Techniques in 5G Heterogeneous Cellular Networks

    • Author(s): OF Afolalu, JO Petinrin, MA Ayoade

    • Year: 2016

    • Citations: 4

  3. Internet of Things and Software Applications in Patient Safety Adverse Event Detection and Reporting: A Comprehensive Literature Review

    • Author(s): OO Afolalu, SA Afolalu, OF Afolalu, OA Akpor

    • Year: 2024

    • Citations: 2

  4. Inter-Cell Interference Coordination in 5G Ultra-Dense Networks

    • Author(s): OF Afolalu

    • Year: 2021

    • Citations: 2

  5. Internet of Things Applications in Health Systems’ Equipment: Challenges and Trends in the Fourth Industrial Revolution

    • Author(s): OO Afolalu, OA Akpor, SA Afolalu, OF Afolalu

    • Year: 2024

    • Citations: 1

  6. Application of Particle Swarm Optimization Method to Economic Dispatch of Nigerian Power System Considering Valve-Point Loading Effect

    • Author(s): GA Adepoju, MA Tijani, MO Okelola, MA Ayoade, OF Afolalu

    • Year: 2021

    • Citations: 1

  7. Enterprise Networking Optimization: A Review of Challenges, Solutions, and Technological Interventions

    • Author(s): O Afolalu, MS Tsoeu

    • Year: 2025

    • Citations: Not available yet

  8. A Novel Security Solution for Efficient Connectivity in Software-Defined Wide Area Network (SD-WAN)

    • Author(s): O Afolalu, MS Tsoeu

    • Year: 2025

    • Citations: Not available yet

  9. Sickle Cell Disease Epidemiology and Management in Africa: Current Trends and Future Directions in Digital Health Technologies

    • Author(s): AO Olajumoke, O Akpor, AS Afolalu, OF Afolalu, HB Oyewole, AO Oke

    • Year: 2024

    • Citations: Not available yet

  10. Analysis of Spectrum Occupancy of Active FM Band within Federal Polytechnic Ede Northern Campus

  • Author(s): AK Adebayo, JO Agbolade, IA Bamikefa, OF Afolalu, MA Ayoade

  • Year: 2021

  • Citations: Not available

  1. Development of Induction Motor Monitoring System with Protection Against Abnormal Voltage, Current, and Temperature

  • Author(s): MA Ayoade, IA Bamikefa, MA Tijani, OF Afolalu, AK Adebayo

  • Year: 2018

  • Citations: Not available

  1. Effects of Angles of Inclinations on the Performances of Photovoltaic (PV) Arrays

  • Author(s): MA Ayoade, OF Afolalu, IA Bamikefa, MA Tijani, MA Sanusi

  • Year: 2017

  • Citations: Not available

  1. Development of a Wireless Induction Motor Unbalanced Voltage Detection and Control System for Hazardous Environments

  • Author(s): MA Ayoade, OF Afolalu, IA Bamikefa, AK Adebayo, MA Sanusi

  • Year: 2017

  • Citations: Not available

 

Peng Gu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Peng Gu | Engineering | Best Researcher Award

associate professor at donghua university, China

Dr. Gu Peng is an accomplished researcher specializing in ultra-precision manufacturing and intelligent processing equipment. He is currently an Associate Professor at Donghua University, following his postdoctoral research at Shanghai Jiao Tong University under the mentorship of esteemed scholars. His work focuses on advanced machining technologies, contributing to national and international research projects. With multiple high-impact publications, patents, and awards, Dr. Gu has established himself as a leading expert in precision engineering. His contributions extend beyond academia through industry collaborations, making significant advancements in manufacturing automation. He actively serves as a reviewer for top SCI journals and is recognized as an expert in China’s leading technology committees. His academic excellence, combined with his research leadership and industrial impact, positions him as a key figure in the field of intelligent manufacturing and ultra-precision machining.

Professional Profile

Education

Dr. Gu Peng obtained his Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from Hefei University of Technology in 2016, graduating ranked first in his class. He pursued a Master’s-Doctoral continuous program in Mechanical Engineering at Tongji University, where he demonstrated outstanding research potential and academic excellence. During his doctoral studies, he participated in an international training program at Politecnico di Torino, Italy, expanding his expertise in advanced manufacturing technologies. His dedication to research earned him multiple national scholarships and institutional awards, including the Outstanding Doctoral Student Award at Tongji University. His education laid a solid foundation for his expertise in precision engineering, manufacturing automation, and optical surface processing.

Professional Experience

Dr. Gu Peng began his professional career as a Postdoctoral Researcher at Shanghai Jiao Tong University (2022-2024), where he worked on ultra-precision machining under the guidance of renowned scholars. In 2024, he joined Donghua University as an Associate Professor, leading projects on intelligent manufacturing technologies. He has played a critical role in multiple national research projects, including the National Natural Science Foundation of China (NSFC) Youth Fund and key industrial research initiatives. In addition to his academic roles, he has been an expert consultant for major industrial projects, contributing to the development of advanced machining equipment for aerospace, optics, and semiconductor industries. His professional experience bridges cutting-edge research and practical industrial applications, ensuring his work has both theoretical and real-world impact.

Research Interests

Dr. Gu Peng’s research focuses on ultra-precision machining, intelligent manufacturing, and automation technologies. He specializes in high-precision grinding and polishing techniques for complex optical surfaces, including microstructure arrays and freeform surfaces. His work also explores the integration of intelligent control systems and AI-driven manufacturing processes, improving efficiency and accuracy in high-performance manufacturing industries. As the Principal Investigator of multiple national research projects, he is pioneering new methodologies for ultra-precision machining, particularly in single-point oblique axis grinding and laser-assisted cutting. His research has direct applications in aerospace, semiconductor manufacturing, and high-precision optics, making significant contributions to the field.

Awards and Honors

Dr. Gu Peng has received numerous national and institutional awards for his academic excellence and research contributions. He was a recipient of the Shanghai Super Postdoctoral Fellowship, the National Scholarship for Undergraduate and Doctoral Students, and multiple Outstanding Graduate Awards from Tongji University. He has also been recognized in national technology competitions, securing top prizes in innovation and mathematical modeling contests. In addition to his academic accolades, he serves as a reviewer for leading SCI journals, including the Journal of Manufacturing Technology and Applied Surface Technology. His contributions to ultra-precision machining and automation technology have established him as a highly respected figure in both academic and industrial research communities.

Conclusion

Dr. Gu Peng is highly suitable for the Best Researcher Award, given his strong publication record, leadership in high-level research projects, and national recognition. With continued efforts in international collaborations, student mentorship, and diversification of research, he could further solidify his standing as a leading researcher in the field of ultra-precision manufacturing.

Publications Top Noted

  • Author: Gu, P., Zhu, C., Sun, Y., Wang, D., & Shi, Z.

    • Year: 2025
    • Title: Evaluation and Prediction of Wrapping Deformation in Sheet Part Grinding
    • Journal: Experimental Techniques
    • Citations: 0

  • Author: Sun, C., Gu, P., Wan, H., Lin, J., & Min, J.

    • Year: 2025
    • Title: Enhancements of Physical Microstructure and Chemical Activation on Interfacial Bonding Strength of Carbon Fiber Reinforced Polymer
    • Journal: Composites Part A: Applied Science and Manufacturing
    • Citations: 0

 

Rajani Alugonda | Engineering | Best Researcher Award

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Mrs. Rajani Alugonda | Engineering | Best Researcher Award

Assistant Professor at JNTUK Kakinda, India

Smt. Rajani Alugonda is an accomplished academician and researcher in the field of Electronics and Communication Engineering. With over 14 years of teaching experience, she has significantly contributed to the academic and research landscape. She is currently serving as an Assistant Professor in the Department of ECE at JNTU College of Engineering, Kakinada. Throughout her career, she has actively participated in various academic and administrative roles, reflecting her commitment to institutional development and student mentorship. Her research contributions in signal processing and communication are well-recognized in national and international journals. She has been involved in organizing and attending faculty development programs, conferences, and workshops, fostering a strong academic network. Beyond academics, she has played key roles in hostel administration, examination management, and extracurricular activities, highlighting her leadership skills.

Professional Profile

Google Scholar

Education

Smt. Rajani Alugonda holds a B.Tech degree in Electronics and Communication Engineering from KITS, Singapur, obtained in 2005. She pursued her M.Tech in Control Systems at JNTU College of Engineering, Anantapur, where she graduated with First Class with Distinction in 2011. Currently, she is pursuing her Ph.D. in Signal Processing and Communication from Jawaharlal Nehru Technological University, Kakinada. Her educational background provides her with a strong foundation in advanced communication systems and signal processing, equipping her with the knowledge to conduct high-quality research. Her academic journey demonstrates her commitment to continuous learning and professional growth.

Professional Experience

With over 14 years and 6 months of teaching experience, Smt. Rajani Alugonda has mentored numerous students and guided multiple postgraduate research projects. She has successfully supervised 24 M.Tech theses and is currently guiding three ongoing projects. Apart from her teaching responsibilities, she has held key administrative positions such as Deputy Warden for the Girls Hostel, Officer In-Charge of Examinations, and Coordinator for various institutional initiatives, including the Startup Cell and IQAC. These responsibilities have helped her develop a well-rounded professional profile, balancing academic rigor with institutional development. Her involvement in student mentorship and academic leadership showcases her dedication to education and research.

Research Interest

Her research interests lie in the areas of signal processing and communication, focusing on developing innovative solutions for communication technologies. She has authored 26 international journal articles and presented her research in 24 international conferences, showcasing her active engagement in the research community. Her work aims to advance knowledge in digital signal processing, wireless communication, and emerging communication technologies. By continuously updating her research methodologies and exploring new frontiers, she contributes to the evolution of the field. She actively participates in faculty development programs, research collaborations, and industry interactions to stay updated with the latest advancements.

Awards and Honors

Throughout her career, Smt. Rajani Alugonda has demonstrated academic excellence and leadership, earning recognition in various capacities. She is a member of prestigious professional bodies such as MIETE and LISTE, which acknowledge her contributions to the field. Her active participation in academic conferences, workshops, and training programs has strengthened her research credibility. While specific awards and honors have not been explicitly mentioned, her extensive research output and institutional contributions highlight her academic standing. Her leadership roles in academia, including her involvement in examination management, extracurricular coordination, and research mentorship, reinforce her eligibility for academic accolades and future awards.

Conclusion

Smt. Rajani Alugonda exhibits notable strengths in teaching, research, and academic leadership. Finalizing her Ph.D. and enhancing the impact of her research publications would further solidify her candidacy for the Best Researcher Award.

Publications Top Noted

  • Modeling and simulation of lithium-ion battery with hysteresis for industrial applications

    • Author: S Bangaru, R Alugonda, P Palacharla
    • Year: 2013
    • Citations: 14

  • A Review on Various Speech Enhancement Techniques

    • Author: SSVS A. Rajani
    • Year: 2016
    • Citations: 4

  • Speed Control of Induction Motor Using Fuzzy Logic Approach

    • Author: AR M. Nageswara Rao
    • Year: 2013
    • Citations: 4*

  • Denoising of ECG Signal Using UFIR Smoothing With Notch Filter

    • Author: NP A. Rajani
    • Year: 2021
    • Citations: 1

  • ECG Signal Denoising Using EMD with Notch Filter and Morphology Filter

    • Author: MSAIV A. Rajani
    • Year: 2021
    • Citations: 1

  • Hysteresis Characterization Check of Lithium-Ion Battery Model under Dynamic Simulation Runs

    • Author: S Bangaru, R Alugonda
    • Year: 2013
    • Citations: 1

  • Denoising of ECG Signal Using Empirical Mode Decomposition With Dual Tree Complex Wavelet Transform

    • Author: PM A. Rajani
    • Year: 2022
    • Citations: –

  • Diagnosis of Bradycardia Arrhythmia Using MEMD And Convolutional Neural Networks

    • Author: AR Charugalla Pavan Kumar
    • Year: 2022
    • Citations: –

  • Diagnosis of Tachycardia Arrhythmia Using MEMD And Convolutional Neural Networks

    • Author: AR Charugalla Pavan Kumar
    • Year: 2022
    • Citations: –

  • Denoising of ECG Signal Using Empirical Mode Decomposition With Dual Tree Complex Wavelet Transform

    • Author: PM A. Rajani
    • Year: 2022
    • Citations: –

  • A Novel Method of QRS Detection Using Adaptive Multilevel Thresholding With Statistical False Peak Elimination

    • Author: VS A. Rajani
    • Year: 2022
    • Citations: –

 

Nurul Musfirah Mazlan | Engineering | Best Researcher Award

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Dr. Nurul Musfirah Mazlan | Engineering | Best Researcher Award

Lecturer At School Of Aerospace Engineering, Universiti Sains Malaysia, Malaysia

Dr. Nurul Musfirah Mazlan is a dedicated lecturer and researcher specializing in Aerospace Propulsion and Biofuels. She is currently a DS51 Lecturer at Universiti Sains Malaysia (USM), where she contributes to both teaching and research in the field of aerospace engineering. With a strong academic background and an extensive supervision portfolio of postgraduate and undergraduate students, she has played a vital role in advancing research related to sustainable aviation fuels and propulsion systems. Dr. Nurul Musfirah is also an active member of The American Society of Mechanical Engineers (ASME) and the Board of Engineers Malaysia (BEM), demonstrating her commitment to professional excellence. Her research focuses on alternative fuel technologies, nanoparticles as fuel additives, and propulsion system optimization, contributing significantly to green aviation efforts. Through her dedication to academia and innovation, she continues to make an impact in the aerospace engineering field.

Professional Profile

Education

Dr. Nurul Musfirah Mazlan obtained her Doctor of Philosophy (PhD) from Cranfield University, UK, specializing in Aerospace Propulsion and Biofuels. Her doctoral research focused on sustainable aviation fuels, particularly investigating the combustion performance of biofuels and alternative energy sources in aerospace applications. Prior to her PhD, she completed her undergraduate and master’s degrees in engineering, equipping her with a strong foundation in thermodynamics, propulsion systems, and fuel technologies. Her academic journey has been driven by a passion for developing environmentally friendly solutions for the aerospace industry, with a focus on reducing carbon emissions and improving fuel efficiency. Throughout her education, she has worked on multiple experimental and computational research projects, collaborating with international researchers to advance knowledge in alternative propulsion technologies. Her educational background has provided her with a solid expertise in combustion analysis, computational fluid dynamics (CFD), and aerospace fuel innovations.

Professional Experience

Dr. Nurul Musfirah Mazlan is currently serving as a Lecturer (DS51) at Universiti Sains Malaysia (USM), where she teaches undergraduate and postgraduate courses related to aerospace propulsion, thermodynamics, and fuel technologies. Over the years, she has actively supervised numerous PhD, MSc, and undergraduate students, guiding research in biofuels, propulsion systems, and nanotechnology applications in aerospace. While she does not have direct industry experience before joining USM, her work significantly contributes to practical aerospace applications through collaborations with academic and research institutions. In addition to teaching, she is involved in curriculum development, laboratory research, and mentoring students in experimental and computational studies. Her multidisciplinary approach allows her to bridge the gap between theory and real-world aerospace engineering challenges, making her a valuable academician and researcher in the field of sustainable aviation technology.

Research Interest

Dr. Nurul Musfirah Mazlan’s research focuses on Aerospace Propulsion, Biofuels, and Sustainable Energy Technologies. Her primary areas of interest include the development and performance analysis of biojet fuels, nano-additives for combustion efficiency, and solid rocket propulsion systems. She has conducted extensive research on Hydrotreated Vegetable Oil (HVO) blended with Jet-A fuel, evaluating its engine performance, emission characteristics, and sustainability. Additionally, her work explores computational fluid dynamics (CFD) simulations to study the interaction of alternative fuels with turbine blades and combustion systems. She is also interested in experimental and modeling approaches for improving rocket propulsion efficiency and reducing emissions in aircraft engines. By integrating nanotechnology with fuel research, Dr. Nurul Musfirah aims to develop greener and more efficient propulsion solutions for the aviation and aerospace industry, contributing to global efforts toward sustainable aviation fuel development.

Awards and Honors

Dr. Nurul Musfirah Mazlan has received several recognitions and honors for her contributions to aerospace propulsion and alternative fuel research. While specific awards are not listed in the provided details, her academic and research achievements are evident through her supervision of high-impact projects, international collaborations, and contributions to sustainable aviation research. Her role as a supervisor for multiple PhD and MSc students working on innovative propulsion technologies is a testament to her expertise and dedication to academia. Additionally, her involvement with The American Society of Mechanical Engineers (ASME) and the Board of Engineers Malaysia (BEM) highlights her professional standing and recognition in the engineering community. As she continues to push the boundaries of biofuel and propulsion research, she is well-positioned to receive further recognition for her groundbreaking contributions to the aerospace industry.

Conclusion

Dr. Nurul Musfirah Mazlan is a strong candidate for the Best Researcher Award, given her extensive research contributions in aerospace propulsion and biofuels, graduate supervision, and technical expertise. Her work aligns with sustainable aviation efforts, making her research highly relevant. To further strengthen her case, industry collaborations, securing more grants, and taking leadership roles in global research organizations would enhance her profile.

Publications Top Noted

1. Spray Behaviour of Hydro-Treated Ester Fatty Acids Fuel Made from Used Cooking Oil at Low Injection Pressures

  • Authors: Azam, Q., Sulaiman, S.Z., Abdul Razak, N.A., & Mazlan, N.M.
  • Year: 2024
  • Journal: Aeronautical Journal
  • Citations: 1

2. Influence of Oxyhydrogen Gas Retrofit into Two-Stroke Engine on Emissions and Exhaust Gas Temperature Variations

  • Authors: Kamarudin, R., Ang, Y.Z., Topare, N.S., Baig, R.U., Sultan, S.M., & Mazlan, N.M.
  • Year: 2024
  • Journal: Heliyon
  • Citations: 2

3. Analysis Study of Thermal and Exergy Efficiency in Double-Layers Porous Media Combustion Using Different Sizes of Burner: A Comparison

  • Authors: Ismail, N.C., Abdullah, M.Z., Mazlan, N.M., Rusdi, M.S.B., & Kamarudin, R.
  • Year: 2024
  • Journal: Pertanika Journal of Science and Technology
  • Citations: 0

4. Effect of NCO/OH Ratio and Binder Content with Micro-AP on HTPB/AP/Al-Based Propellants Mechanical Properties

  • Authors: Adnana, Z., & Mazlan, N.M.
  • Year: 2024
  • Journal: Advances in Materials Research (South Korea)
  • Citations: 0

 

Kaili Wang | Engineering | Best Researcher Award

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Ms. Kaili Wang | Engineering | Best Researcher Award

Student at NB U, China

MS Kaili Wang is a distinguished researcher in the field of gene editing and molecular diagnostics, specializing in nucleic acid detection for agricultural biotechnology. She is affiliated with Ningbo University, School of Food Science and Engineering, China, and collaborates with Zhejiang Academy of Agricultural Sciences and the State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products. With a keen interest in genetic modification detection, her research focuses on improving the precision and sensitivity of detection methods for gene-edited organisms. Her recent work on droplet digital PCR (ddPCR) for MSTN gene-edited cattle has contributed significantly to the field of regulatory science and food safety. Dedicated to advancing biotechnology applications, she plays a crucial role in shaping methodologies for genetic monitoring, ensuring consumer safety, and fostering global discussions on gene editing and its implications.

Professional Profile

Education

MS Kaili Wang pursued her higher education in biotechnology, molecular biology, and food science, which provided a strong foundation for her research career. She earned her degrees from prestigious Chinese institutions, including Ningbo University, where she specialized in food science and genetic detection methods. Her academic training emphasized molecular diagnostics, genetic engineering, and PCR-based technologies, equipping her with the expertise necessary to develop innovative detection methods for genetically modified organisms (GMOs). Throughout her education, she engaged in interdisciplinary research, gaining hands-on experience in genetic modification analysis, nucleic acid quantification, and regulatory science. Her studies were complemented by rigorous laboratory work and collaborations with leading scientists in the field. This educational background has enabled her to contribute significantly to the advancement of gene-editing detection technologies, ensuring accuracy, sensitivity, and reliability in molecular diagnostics.

Professional Experience

With extensive experience in genetic research and molecular diagnostics, MS Kaili Wang has worked as a researcher at Ningbo University and in collaboration with Zhejiang Academy of Agricultural Sciences. She has been instrumental in developing innovative nucleic acid detection methods for gene-edited organisms, particularly using droplet digital PCR (ddPCR). Her work focuses on the safety assessment, traceability, and detection of genetically modified products, making a significant impact in the field of food safety and agricultural biotechnology. She has contributed to multiple high-impact research projects, collaborating with government agencies, regulatory bodies, and scientific institutions to establish robust methodologies for genetic monitoring. Her professional expertise extends to training young researchers, publishing peer-reviewed articles, and presenting her findings at international conferences related to gene editing and food safety. Her work plays a critical role in ensuring the accurate detection and regulation of gene-edited agricultural products.

Research Interests

MS Kaili Wang’s primary research interests lie in gene editing, nucleic acid detection, food safety, and molecular diagnostics. She is particularly focused on developing and optimizing PCR-based techniques, including ddPCR, qPCR, and CRISPR-based detection methods. Her research aims to enhance the specificity, sensitivity, and reliability of gene-editing detection, ensuring consumer safety and regulatory compliance. She is also deeply interested in the traceability of genetically modified organisms (GMOs) and their impact on food production, security, and public health. Through her work, she seeks to bridge the gap between scientific advancements and regulatory frameworks, contributing to the development of robust detection technologies that can be applied on a global scale. By integrating biotechnology with food safety regulations, she aims to provide innovative solutions for ensuring transparency in agricultural biotechnology and fostering public trust in gene-edited products.

Awards and Honors

Throughout her career, MS Kaili Wang has received numerous recognitions for her contributions to gene editing detection and food safety research. She has been honored with awards from academic institutions, regulatory bodies, and biotechnology organizations for her innovative work in nucleic acid quantification and molecular diagnostics. Her research on ddPCR-based detection of MSTN gene-edited cattle has gained international recognition, positioning her as a leading scientist in genetic monitoring and food safety regulation. She has been invited as a keynote speaker at scientific conferences, sharing her expertise on gene editing detection methodologies. Additionally, she has received grants and funding from government agencies to further her research in gene-editing detection and its application in regulatory science. Her dedication and contributions to biotechnology and food safety continue to make a profound impact, earning her a reputation as a pioneering researcher in the field.

Conclusion

MS Kaili Wang’s research is highly innovative and impactful, making significant contributions to gene editing detection and food safety monitoring. The work demonstrates scientific excellence, regulatory relevance, and technical robustness, making them a strong candidate for the Best Researcher Award. However, further research could focus on expanding the scope of detection beyond MSTN, increasing sample size, and facilitating regulatory adoption to enhance the real-world impact.

Publications Top Noted

Author: Kaili Wang, Yi Ji, Cheng Peng, Xiaofu Wang, Lei Yang, Hangzhen Lan, Junfeng Xu, Xiaoyun Chen
Year: 2025
Citation: Wang, K.; Ji, Y.; Peng, C.; Wang, X.; Yang, L.; Lan, H.; Xu, J.; Chen, X. (2025). “A Novel Quantification Method for Gene-Edited Animal Detection Based on ddPCR.” Biology, 14(2), Article 0203. DOI: 10.3390/biology14020203.
Source: Multidisciplinary Digital Publishing Institute (MDPI)

 

Chung-Horng Lung | Engineering | Best Researcher Award

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Chung-Horng Lung | Engineering | Best Researcher Award

Full Professor at Carleton University, Canada

Dr. Chung-Horng Lung is a distinguished professor in the Department of Systems and Computer Engineering at Carleton University, Ottawa. With a career spanning over three decades in academia and industry, he has made significant contributions to software engineering, network security, and artificial intelligence. Recognized as one of the world’s top 2% most-cited researchers (Stanford-Elsevier, 2022 & 2023), his work has influenced various domains, including machine learning-based security systems, intelligent data processing, and network optimization. Prior to joining Carleton University, he held senior engineering positions at Nortel Networks, where he worked on software architecture, network traffic engineering, and MPLS-based communication technologies. His extensive research, mentorship, and interdisciplinary collaborations have earned him a reputation as a leading scholar in his field. Alongside his academic contributions, Dr. Lung is also a Professional Engineer (P.Eng.) in Ontario, further validating his expertise and impact in the engineering community.

Professional Profile

Education

Dr. Lung holds a Ph.D. in Computer Science and Engineering from Arizona State University, Tempe, earned in 1994. His journey in academia began with a Master’s degree in Computer Science and Engineering from the same institution in 1988, following a Bachelor’s degree in Computer Science and Engineering from Chung-Yuan Christian University, Taiwan, in 1982. His academic background provided him with a strong foundation in software engineering, network security, and intelligent computing. During his doctoral studies, he worked extensively on distributed systems and software engineering methodologies, laying the groundwork for his future research. His educational trajectory showcases a commitment to innovation and excellence, equipping him with the expertise needed to bridge academia and industry. Through continuous learning and research advancements, Dr. Lung has remained at the forefront of emerging technologies in computing and engineering.

Professional Experience

Dr. Lung has a rich professional background in both academia and industry. He is currently a Professor at Carleton University, where he has been a faculty member since 2001. Before becoming a full professor in 2015, he served as an Associate Professor in the same department. His industry experience includes senior roles at Nortel Networks, where he worked as a Senior Software Designer and Network Engineer on Optical Packet Interworking and MPLS-based Traffic Engineering. He was also a Senior Software Architecture Engineer at Nortel’s Software Engineering Analysis Lab (SEAL), contributing to critical advancements in software engineering and network technologies. Additionally, he has worked as an Instructor and Research Assistant at Arizona State University and a Software Engineer at Electronics Research & Service Organization in Taiwan. His diverse career path reflects his versatility and expertise in both theoretical and applied computing disciplines.

Research Interests

Dr. Lung’s research focuses on machine learning, cybersecurity, software engineering, and network optimization. His work in machine learning-based intrusion detection systems (IDS) has led to the development of AI-driven security solutions for SCADA and power systems. Additionally, his research on knowledge graphs and unstructured data processing has contributed to advancements in data-driven decision-making. His expertise extends to network traffic analysis, software reliability engineering, and intelligent data sampling, with applications in forest fire detection, industrial automation, and smart city infrastructures. His interdisciplinary approach has fostered collaborations with academic institutions, industry partners, and government agencies, ensuring that his research has real-world impact. By integrating AI, cybersecurity, and software engineering principles, Dr. Lung continues to explore innovative solutions to modern technological challenges.

Awards and Honors

Dr. Lung has received numerous accolades throughout his career, with his most notable recognition being listed among the world’s top 2% most-cited scholars (Stanford-Elsevier, 2022 & 2023). This honor reflects the global impact of his research and his contributions to computer science and engineering. Additionally, he is a registered Professional Engineer (P.Eng.) in Ontario, demonstrating his adherence to the highest professional standards in engineering. Over the years, he has received multiple best paper awards, research grants, and industry recognitions for his work in machine learning, cybersecurity, and network optimization. His mentorship of students and early-career researchers has also been acknowledged through teaching excellence awards and faculty recognitions. With a distinguished academic and professional career, Dr. Lung continues to push the boundaries of innovation in computing and engineering, solidifying his position as a leading researcher in the field.

Conclusion

Dr. Chung-Horng Lung is a highly qualified and impactful researcher, making significant contributions in Computer Science, Machine Learning, and Network Engineering. His strong publication record, industry experience, and citation impact make him a strong contender for the Best Researcher Award. Addressing minor gaps in funding details, patents, and international collaborations could further strengthen his case.

Publications Top Noted

📖 Journal Articles

1️⃣ In-Network Caching for ICN-Based IoT (ICN-IoT): A Comprehensive Survey 🏆

  • Author(s): Zhang, Z., Lung, C.-H., Wei, X., Chatterjee, S., Zhang, Z.
  • Year: 2023
  • Citations: 41 🔥
  • Published in: IEEE Internet of Things Journal

2️⃣ iCache: An Intelligent Caching Scheme for Dynamic Network Environments in ICN-Based IoT Networks 🧠

  • Author(s): Zhang, Z., Wei, X., Lung, C.-H., Zhao, Y.
  • Year: 2023
  • Citations: 17 📈
  • Published in: IEEE Internet of Things Journal

3️⃣ Knowledge Graph Generation and Application for Unstructured Data Using Data Processing Pipeline 🤖

  • Author(s): Sukumar, S.T., Lung, C.-H., Zaman, M., Panday, R.
  • Year: 2024
  • Citations: 0 (New Publication) 🚀
  • Published in: IEEE Access

🎤 Conference Papers

4️⃣ A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction 🔥

  • Author(s): Mutakabbir, A., Lung, C.-H., Ajila, S.A., Sampalli, S., Ravichandran, T.
  • Year: 2024
  • Citations: 0 (New Publication) 🚀
  • Published in: IEEE COMPSAC 2024

5️⃣ Comparative Analysis of Real-Time Data Processing Architectures: Kafka versus MQTT Broker in IoT 📡

  • Author(s): Ho, C.L.D., Lung, C.-H., Mao, Z.
  • Year: 2024
  • Citations: 0 (New Publication) 🚀
  • Published in: IEEE ICEIB 2024

6️⃣ DDoS Flood Detection and Mitigation using SDN and Network Ingress Filtering – an Experiment Report 🛡️

  • Author(s): Marleau, S., Rahman, P., Lung, C.-H.
  • Year: 2024
  • Citations: 0 (New Publication) 🚀
  • Published in: IEEE ICEIB 2024

7️⃣ Big Data Synthesis and Class Imbalance Rectification for Enhanced Forest Fire Classification Modeling 🔥📊

  • Author(s): Tavakoli, F., Naik, K., Zaman, M., Lung, C.-H., Ravichandran, T.
  • Year: 2024
  • Citations: 0 (New Publication) 🚀
  • Published in: International Conference on Agents and Artificial Intelligence

8️⃣ Forest Fire Prediction Using Multi-Source Deep Learning 🌲🔥

  • Author(s): Mutakabbir, A., Lung, C.-H., Ajila, S.A., Purcell, R., Sampalli, S.
  • Year: 2024
  • Citations: 0 (New Publication) 🚀
  • Published in: LNICST Conference Proceedings

9️⃣ A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction 🌍🔥

  • Author(s): Kaur, P., Naik, K., Purcell, R., Zaman, M., Mutakabbir, A.
  • Year: 2023
  • Citations: 1 📊
  • Published in: IEEE Big Data 2023

🔟 Unstructured Transportation Safety Board Findings Categorization Using the Knowledge Graph Pipeline 🚗📊

  • Author(s): Panday, R., Lung, C.-H.
  • Year: 2023
  • Citations: 1 🏆
  • Published in: IEEE Big Data 2023

 

Assoc Prof. Dr. Chunlu Qian | Engineering | Best Researcher Award

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Assoc Prof. Dr. Chunlu Qian | Engineering | Best Researcher Award

Assoc Prof. Dr. Chunlu Qian, Yangzhou University, China

Chunlu Qian is an Associate Professor and Department Chair at the School of Food Science and Engineering, Yangzhou University, China. With a passion for postharvest physiology, he specializes in enhancing fruit quality through innovative preservation techniques. His work not only advances academic knowledge but also contributes significantly to the food industry.

Profile

Scopus

Orcid

Education 🎓

Dr. Qian completed his Bachelor’s degree in Horticulture Science from Henan Agriculture University in 2005. He then earned his Master’s in Vegetable Science from Zhejiang University in 2007, followed by a Ph.D. in Food Science, focusing on postharvest cucumber physiology, in 2013.

Experience 💼

Since April 2013, Dr. Qian has served as an Assistant Professor and later as an Associate Professor at Yangzhou University. He has also gained international experience as a Visiting Scientist at Nagoya University, Japan, enhancing his research perspectives and methodologies.

Research Interest 🔍

Dr. Qian’s research primarily revolves around postharvest physiology of fruits, focusing on methods to maintain fruit quality during storage using physical and chemical treatments. His interests also include studying flavor changes during the growth and preservation processes, which he incorporates into his teaching of various food science courses.

Awards 🏆

Dr. Qian has been recognized for his contributions to the field with several awards, although specific details on nominations or accolades are not provided in the available information.

Publication Top Notes 📚

Cai et al. (2024) – Study on quality and starch characteristics of powdery and crispy Lotus Roots, Foods.

Qian et al. (2024) – Effects of melatonin on postharvest water bamboo shoots, Food Chemistry: Molecular Sciences.

Zhang et al. (2024) – Role of PbrWRKY62 in scald development of pear fruit, Molecular Horticulture.

Ding et al. (2023) – Flavor characteristics of ten peanut varieties, Foods.

Qian et al. (2023) – Texture and flavor changes of lotus root, Foods.

Prof. Min Sik Lee | Engineering | Best Researcher Award

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Prof. Min Sik Lee | Engineering | Best Researcher Award

Prof. Min Sik Lee, Pusan national university, South Korea

Dr. Lee Min Sik is a prominent researcher in the field of Mechanical Engineering at Pusan National University, specializing in hybrid composite materials and advanced manufacturing techniques. With a focus on both theoretical and experimental studies, he has significantly contributed to the understanding of sheet metal forming processes and material properties.

Profile

Orcid

Education 🎓

Dr. Lee completed his Ph.D. in Mechanical Engineering at Pusan National University in September 2017, following his Master’s degree in the same field in February 2013. He also obtained his Bachelor’s degree from the same institution in February 2011, demonstrating a strong foundation in mechanical engineering from an early stage.

Experience 🛠️

Since completing his Ph.D., Dr. Lee has engaged in various research projects funded by national and international organizations. His work includes significant contributions to the National Research Laboratory and the Technological Innovation R&D Program, focusing on fuel cell technology and hybrid composite materials.

Research Interests 🔬

Dr. Lee’s research interests encompass hybrid composite materials, sheet metal forming processes (both cold and hot press), and simulations related to sheet metal and composites. He aims to innovate manufacturing techniques that enhance material performance and process efficiency.

Awards 🏆

Dr. Lee has received several prestigious awards, including:

Future Researcher Award 2017, Busan, Korea (Dec 2017)

BK21 Plus Best Researcher Award 2016 (Mar 2017)

A M Strickland Prize (Best Paper), awarded by the U.K. Institution of Mechanical Engineers (Jun 2016)

Publication Top Notes 📚

Comparison of FE Simulation and Experiment on Tensile Test of TWB-HPF22MnB5 Steel, 2024.

Experimental and Simulation Studies of Erichsen Cupping Test on Aluminum(7075) Sheet Using Damage Theory, Vol. 20(10), pp. 698-709, 2024.

Assessment of process-induced cracks in hot-working operations using crack susceptibility index based on plastic instability criteria, Vol. 29(10), 2024.

Štefan Ondočko | Engineering | Best Researcher Award

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Assist. Prof. Dr. Štefan Ondočko | Engineering | Best Researcher Award

Assistant professors, Technical University of Košice, Slovakia

Profile

Scopus

Ing. Štefan Ondočko, PhD, is an Assistant Professor at the Technical University of Košice, specializing in mechanical engineering with a focus on production systems and robotics. His extensive experience spans both academia and industry, contributing to the advancement of robotic technologies.

Education 🎓

Štefan earned his degree in Mechanical Engineering from the Technical University of Košice (1996–2004), specializing in Instrumentation, Control, and Automation Technology. He later completed his PhD in Mechanical Engineering, focusing on Production Technology, in 2023.

Experience 💼

His professional journey includes roles as an Electrical Designer and I&C Engineer at EnergoControl s.r.o and SMZ Jelšava a.s., along with significant teaching responsibilities at the Technical University of Košice since 2019. Štefan currently focuses on applied research and development in robotic and production technologies.

Research Interests 🔬

Štefan’s research interests lie in the integration of robotics in production systems, particularly in modular robotics and automation technology. He actively engages in grant projects that advance educational tools and methodologies in these fields.

Awards 🏆

In 2023, Štefan received a diploma for the Best Contribution at the 20th International Scientific Conference of Engineering Doctorates of Technical Universities, highlighting his impactful work in mechanical engineering.

Publications Top Notes 📚

  1. Measurement of Maximum Deviation from Roundness Based on the Inverse Kinematics Principle
    Link – 2019, Measurement Science Review, Year 19, Nr. 6.
  2. Inverse Kinematics Data Adaptation to Non-Standard Modular Robotic Arm Consisting of Unique Rotational Modules
    Link – 2021, Applied Sciences, Year 11, Nr. 3.
  3. Comparison of Selected Numerical Methods for the Calculation of Inverse Kinematics of Nonstandard Modular Robotic Arm Consisting of Unique Rotational Modules
    Link – 2021, MM Science Journal, June.
  4. Mapping Robot Singularities Through the Monte Carlo Method
    Link – 2022, Applied Sciences, Year 12, Nr. 16.
  5. Analysis of the Methodology for Experimental Measuring of the Performance Criteria of the Laser-Using Collaborative Robot’s Path Accuracy
    Link – 2024, Applied Sciences, Year 14, Nr. 4.