Yufan Song | Engineering | Best Paper Award

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Yufan Song | Engineering | Best Paper Award

Dr. Yufan Song, Nanjing University of Aeronautics and Astronautics, China

Yufan Song, born in 1999 in Hebei, China, is a Ph.D. student specializing in Information and Communication Engineering at Nanjing University of Aeronautics and Astronautics (NUAA). With a strong academic foundation from the University of Electronic Science and Technology of China (UESTC), she has swiftly become a rising researcher in the field of synthetic aperture radar (SAR) and remote sensing image processing. Her work is driven by the ambition to push the boundaries of microwave imaging techniques and data interpretation from SAR platforms. Yufan’s research is marked by innovation and technical depth, leading to the publication of eight SCI-indexed journal articles and 14 patents. She holds memberships in prestigious professional organizations such as IEEE and CSIG. Through rigorous academic training and a passion for solving complex imaging challenges, Yufan continues to contribute significantly to advancements in SAR-based Earth observation technologies.

Publication Profile

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🎓 Education

Yufan Song commenced her academic journey at the University of Electronic Science and Technology of China (UESTC), Chengdu, where she earned her Bachelor’s degree from the College of Information and Communication Engineering in 2020. During her undergraduate studies, she developed a keen interest in signal processing and microwave technologies. Building on that foundation, she pursued doctoral studies at Nanjing University of Aeronautics and Astronautics (NUAA), where she is currently enrolled in the Ph.D. program in Information and Communication Engineering. Her education is marked by a consistent focus on research and development, particularly in advanced remote sensing technologies and synthetic aperture radar (SAR) systems. Throughout her academic path, Yufan has cultivated in-depth technical knowledge, hands-on experience with SAR data analysis, and expertise in image reconstruction, ambiguity suppression, and sparse signal processing. Her education reflects both strong theoretical grounding and applied research excellence.

💼 Experience

Yufan Song’s experience is anchored in academic research with a strong focus on microwave imaging and SAR technologies. As a Ph.D. student at NUAA, she has undertaken six significant research projects related to sparse imaging, SAR signal processing, and ambiguity reduction in sliding spotlight SAR systems. Her practical contributions include developing innovative algorithms for moving and stationary target separation, squint-mode SAR phase correction, and compressive sensing-based SAR imaging. With eight SCI-indexed journal publications and 14 patent submissions, her experience reflects both depth and breadth in remote sensing innovation. While she has not yet participated in industry consultancy projects, her academic research has strong potential for real-world applications in aerospace, defense, and environmental monitoring. Yufan is also an active member of professional societies including IEEE, CSIG, and the Chinese Institute of Electronics, where she stays updated with emerging technologies and research trends.

🏆 Honors and Awards

While formal award records are not explicitly listed, Yufan Song’s research achievements reflect distinguished academic excellence deserving of recognition. Her selection as a Best Paper Award nominee underscores the significance of her contributions to SAR imaging and remote sensing. Publishing in high-impact journals such as IEEE Transactions on Geoscience and Remote Sensing demonstrates peer-validated recognition of her work. In addition to her scientific publications, the acceptance and processing of 14 patents highlight her capacity for innovation and applied engineering. Furthermore, her active membership in leading academic societies—IEEE, CSIG, and the China Society of Image and Graphics—speaks to her standing in the research community. Her groundbreaking approach in azimuth ambiguity suppression using compressive sensing, especially in the context of PRF-reduced sliding spotlight SAR, is a notable milestone that reinforces her role as a promising young researcher. These accomplishments collectively position her as a strong contender for research-based awards.

🔬 Research Focus

Yufan Song’s research is centered on Synthetic Aperture Radar (SAR), Sparse Microwave Imaging, and Remote Sensing Image Processing. Her work explores high-resolution SAR imaging techniques with an emphasis on ambiguity suppression, phase error correction, and sparse signal reconstruction. She has developed algorithms capable of separating moving and stationary targets in complex imaging scenes. One of her key innovations involves a joint sparse imaging model for spaceborne PRF-reduced sliding spotlight SAR, which incorporates compressive sensing to manage azimuth ambiguity—a challenge that significantly affects image clarity and accuracy. Her research blends mathematical rigor with practical application, particularly in spaceborne imaging platforms. With a growing number of journal articles and patents, she aims to enhance the reliability and efficiency of remote sensing systems, making significant contributions to environmental monitoring, surveillance, and Earth observation technologies. Her focus is not only on developing theoretical frameworks but also ensuring these solutions are scalable and applicable in real-world scenarios.

📚 Publications

  • 📄 A Compressive Sensing-Based Sparse Imaging Method for PRF-Reduced Sliding Spotlight SAR

  • 📄 Separation of Moving and Stationary Targets in SAR via Doppler Parameter Estimation

  • 📄 Squint-Mode SAR Imaging Based on Azimuth Phase Error Correction and Sparse Reconstruction

  • 📄 Joint Imaging Model for Azimuth Ambiguity Suppression in Compressive Sensing SAR Systems

  • 📄 Phase Error Estimation Using Gradient Descent for Sliding Spotlight SAR

  • 📄 Sparse Reconstruction-Based Image Enhancement for Remote Sensing Scenes

  • 📄 Azimuth Time-Domain Compensation Method in Squint SAR Imaging

  • 📄 An Improved Sparse Microwave Imaging Algorithm for Spaceborne SAR Applications

Ibna Kawsar | Engineering | Excellence in Citation Achievement Award

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Ibna Kawsar | Engineering | Excellence in Citation Achievement Award

Mr Ibna Kawsar, Chongqing University, China

An emerging researcher in mechanical and vehicle engineering, [Name] currently serves as a Research Assistant at the Vehicle Dynamics and Intelligent Control Lab in Chongqing, China, and a reviewer for Annals of Robotics and Automation. With a strong background in crashworthiness, EV safety, and intelligent vehicle systems, [Name] has authored multiple peer-reviewed publications and contributed to leading journals such as Reliability Engineering & System Safety and Multibody System Dynamics. Their work emphasizes structural innovation and safety performance using advanced simulation techniques like FEA and AI-based optimization. A passionate contributor to the academic community, they are also recognized for their participation in international conferences and their reviewership in robotics and automation. Their growing influence is reflected by Google Scholar metrics with 130 citations, h-index of 3, and i10-index of 1. [Name] continues to push the boundaries of smart mobility and energy-efficient vehicle technologies.

Publication Profile

Google scholar

Education

He earned a Master’s degree in Mechanical and Vehicle Engineering from Chongqing University, China (2022–Present), where they maintained a GPA of 89.40. Their thesis focused on improving side-impact safety of battery pack systems using multi-cell square tube structures and a hybrid MCDM approach. During this research, they successfully reduced deformation by up to 48%, enhancing crashworthiness.
Previously, they completed a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation at Chongqing Jiaotong University (2018–2022), also with a GPA of 89.00. Their undergraduate thesis centered on designing a versatile electric battery lift table for efficient EV battery handling, integrating mechanical durability and equipment design principles.
Their academic training includes strong fundamentals in mechanical theory, machine design, and impact mechanics. Supplementary certifications from MIPT and Udemy further enriched their expertise in material mechanics and CAE tools like Abaqus and Hypermesh.

Experience

Since January 2024, [Name] has served as a Reviewer for Annals of Robotics and Automation, evaluating manuscripts on robotics, automation, and structural optimization. As a Research Assistant at the Vehicle Dynamics and Intelligent Control Lab (Nov 2023–Present), they authored pioneering work on EV battery crashworthiness, achieving a 45% reduction in shell intrusion through FEA, now under review in the European Journal of Mechanics / A Solids.
Additionally, their comprehensive review on EV battery safety, emphasizing mechanical reliability under vibration and collisions, is under review in eTransportation. They have also presented their work at leading automotive conferences including China-SAE and FISITA Intelligent Safety Conference.
Their expertise spans advanced simulation, machine learning, and crash-resistant structural design, contributing to multidisciplinary innovation in autonomous driving, EV safety, and intelligent systems.

Awards and Honors

He has been recognized for academic and research excellence with prestigious awards. In September 2023, they received the Excellence in Energy Development and Environmental Safety Award from the Chongqing Energy Research Society, acknowledging their contribution to sustainable vehicle safety innovations.
In August 2022, they were honored with the China Government Scholarship (CGS) by the China Scholarship Council (CSC), awarded to outstanding students for academic distinction and research potential.
These accolades reflect their dedication to advancing clean and intelligent vehicle technologies.
Additionally, their work has been showcased at major industry events such as the China Society of Automotive Engineers (China-SAE) Conference (Oct 2024) and the FISITA Intelligent Safety Conference (July 2023), underlining their active involvement and recognition within the global research community.

Research Focus

He is research centers on electric vehicle (EV) safety, crashworthiness, intelligent control systems, and structural optimization. Their master’s thesis explores side-impact crash resistance using multi-cell square tube structures, integrating a hybrid Multi-Criteria Decision-Making (MCDM) approach.
They employ Finite Element Analysis (FEA), deep learning, and machine learning tools to enhance the mechanical integrity of EV battery packs under various impact scenarios, such as vibration, collision, and shock.
Beyond structural resilience, they explore data-driven safety enhancement using vehicle multibody dynamics and neural network algorithms.
This multidisciplinary focus bridges mechanical design with smart technologies, targeting real-world safety issues in autonomous driving and energy efficiency. Their contributions aim to redefine vehicle structure optimization for next-gen transportation systems.

Publication Top Notes

  • 📦 Deep-learning-based inverse structural design of a battery-pack system – Reliability Engineering & System Safety (2023)

  • 🚗 Combined recurrent neural networks and particle-swarm optimization for sideslip-angle estimation – Multibody System Dynamics (2024)

  • 🔋 Trajectory optimization of an electric vehicle with minimum energy consumption – Mechanism and Machine Theory (2023)

  • 🚦 Enhanced traffic safety and efficiency via DNN-APF for accelerated lane-change decisions – Measurement (2023)

  • 🛣️ Longitudinal predictive control for vehicle-following collision avoidance in autonomous driving – Sensors (2022)

Ismail Fidan | Engineering | Innovative Research Award

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Ismail Fidan | Engineering | Innovative Research Award

Dr Ismail Fidan, Tennessee Tech University, United States

Dr. I. Fidan is a Mechanical Engineer, Researcher, and Educator with expertise in robotics, automation, additive manufacturing, and energy systems. With over 30 years of experience, he has contributed significantly to engineering research, education, and innovation. He currently serves as a Professor at Tennessee Technological University (TTU), mentoring students and leading research in smart materials and machine learning applications. He has worked as a Visiting Scholar at Pasadena City College (2022) and an ORISE Research Scientist at Oak Ridge National Laboratory (2013–2014). Dr. Fidan has received over 40 prestigious awards, including the 2024 TTU Outstanding Faculty Award and the 2020 TTU Caplenor Research Award. A Senior Member of IEEE and SME, he actively contributes to technological advancements and engineering education. His research spans carbon-fiber composites, functionally graded metamaterials, and computational optimization techniques, shaping the future of manufacturing and automation.

Publication Profile

orcid

Education 🎓

Dr. I. Fidan earned his Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute, USA (1996), specializing in robotics and automation. His dissertation focused on developing an automated rework cell for surface-mounted devices (SMDs), advancing manufacturing efficiency and automation techniques. Prior to that, he completed his M.Sc. in Mechanical Engineering at Istanbul Technical University, Türkiye (1991), where he conducted research on heat transfer through ultra-fine powders, contributing to energy and thermal system advancements. He obtained his B.Sc. in Mechanical Engineering from Anadolu University, Türkiye (1988), focusing on hydraulic machines, with a graduation project on vertical flow ventilators and venturi meters. During his academic journey, he also gained practical industry experience through internships at Kutahya Sugar Production Plant (1987) and TULOMSAS-Eskisehir Train Assembly Plant (1986), where he honed his technical skills in industrial manufacturing and mechanical systems.

Experience

Dr. I. Fidan is a Professor at Tennessee Technological University (TTU), where he leads cutting-edge research in additive manufacturing, machine learning, and smart materials. He is deeply involved in mentoring students and advancing engineering education through innovative curricula and hands-on research projects. In 2022, he served as a Visiting Scholar at Pasadena City College, where he developed machine learning educational resources and supported undergraduate research initiatives. From 2013 to 2014, Dr. Fidan was an ORISE Research Scientist at Oak Ridge National Laboratory, where he contributed to energy-efficient technologies, including modeling next-generation heat pump water heaters and simulating Zero Energy-Campbell Creek Houses. Beyond academia, he has collaborated with industry as a researcher and consultant, developing AI-driven solutions for HVAC and heat pumps and integrating additive manufacturing with alternative energy systems, contributing to sustainable and efficient engineering innovations.

Awards & Honors

Dr. I. Fidan has been widely recognized for his outstanding contributions to teaching, research, and innovation. In 2024, he received the TTU Outstanding Faculty Award for Teaching, followed by the ASEE National Engineering Technology Teaching Award in 2023. His research excellence was honored with the TTU WINGS UP 100 Research Achievement Award in 2022 and the JMMP Best Paper Award in 2021. In 2020, he earned the TTU Caplenor Research Award, the highest faculty distinction at TTU. His dedication to mentoring and academic leadership was acknowledged with the SME Distinguished Faculty Advisor Award in 2018 and the TTU College of Engineering Teacher Scholar Award in 2016. Dr. Fidan’s early career accomplishments include the National Academy of Engineering FOEE Award in 2013, the US Fulbright Senior Scholar Award in 2010, and the SME Jiri Tlusty Outstanding Young Manufacturing Engineer Award in 2003. With over 40 additional awards, he remains a leader in engineering education and research.

Research Focus

Dr. Fidan’s research focuses on advanced manufacturing, robotics, energy systems, and computational modeling, driving innovation in multiple engineering fields. His expertise spans additive manufacturing and 3D printing, where he pioneers smart materials and composite structures. In automation and robotics, he enhances efficiency in manufacturing processes. His work in material science and metamaterials explores functionally graded materials and nanotechnology applications. Leveraging machine learning in engineering, he develops AI-driven solutions for HVAC and heat pump systems. His contributions to sustainable energy systems involve alternative energy applications and energy-efficient designs. Additionally, his research in computational optimization applies simulated annealing and genetic algorithms to improve drilling processes. Through interdisciplinary collaborations, Dr. Fidan has produced high-impact publications in top-tier journals, contributing to significant advancements in manufacturing, automation, and smart materials.

Publication Top Notes

1️⃣ Optimum Cutting Parameters for CFRP Composites – Processes (2024) 📖
2️⃣ Functionally Graded Metamaterials: Fabrication & Modeling – (2024) 🏗️
3️⃣ Energy Efficiency in HVAC Systems Using AI – (2023) ❄️
4️⃣ Advancements in 3D-Printed Smart Materials – (2023) 🏭
5️⃣ Machine Learning in Additive Manufacturing – (2023) 🤖
6️⃣ Simulation of Zero-Energy Buildings – (2022) 🏡
7️⃣ AI-Based Predictive Maintenance for Heat Pumps – (2022) 🔥

 

Temitayo Oladimeji | Engineering | Best Researcher Award

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Dr. Temitayo Oladimeji | Engineering | Best Researcher Award

Dr. Temitayo Oladimeji, Covenant University, Nigeria

Dr. Temitayo Oladimeji, a seasoned academic and researcher, is currently a Senior Lecturer at Covenant University, Ota, Nigeria. She holds a Ph.D., M.Sc., and B.Sc. in Chemical Engineering from Covenant University, Obafemi Awolowo University, and Ladoke Akintola University of Technology, respectively. With over a decade of teaching and research experience, her academic journey began at Covenant University in 2013, where she progressed through ranks, contributing significantly to the Chemical Engineering discipline.

Education:

Ph.D. in Chemical Engineering

Covenant University, Nigeria (2014–2019)

M.Sc. in Chemical Engineering

Covenant University, Nigeria (2011–2013)

B.Sc. in Chemical Engineering

Ladoke Akintola University of Technology, Ogbomoso (2003–2008)

Secondary Education

Anglican Grammar School, Ogbomoso (2000–2001)

Professional Profile:

Google Scholar

Orcid Profile

 

Professional Experience:

Dr. Temitayo Elizabeth Oladimeji is an accomplished academic and researcher specializing in Chemical Engineering at Covenant University, Nigeria. She holds a Ph.D. in Chemical Engineering from Covenant University, where she also obtained her MSc, building on her foundational education at Ladoke Akintola University of Technology (B.Sc. in Chemical Engineering) and further studies at Obafemi Awolowo University. Her secondary education was completed at Anglican Grammar School, Ogbomoso.

With over a decade of teaching experience, Dr. Oladimeji has held progressive academic positions, including Senior Lecturer and Assistant Lecturer at Covenant University. She has taught advanced courses such as Industrial Hazards and Environmental Pollution, Principles of Plant Design, and Chemical Engineering Laboratory Techniques. She has also contributed to administrative and advisory roles, serving as a departmental chaplain, college welfare officer, and level adviser.

Research Interests:

Her research interests span Environmental Engineering and Renewable Energy with a focus on waste-to-wealth innovations. Dr. Oladimeji has an impressive publication record, including 18 Scopus-indexed articles on critical topics such as particulate pollution, advanced CO₂ capture techniques, and renewable energy processes. She has collaborated extensively on projects involving the treatment of oil spills, activated carbon production, and industrial lubricant recycling.

 

Publications:

Compositional analysis of lignocellulosic materials: Evaluation of an economically viable method suitable for woody and non-woody biomass
TEO Augustine O. Ayeni, Opeyemi A. Adeeyo, Oyinlola M. Oresegun
American Journal of Engineering Research (AJER), 4(4), 14-19 (2015)
Citations: 241

Advanced techniques for the capturing and separation of CO2 – a review
OA Odunlami, DA Vershima, TE Oladimeji, S Nkongho, SK Ogunlade, et al.
Results in Engineering, 15, 100512 (2022)
Citations: 76

Production of activated carbon from sawdust and its efficiency in the treatment of sewage water
TE Oladimeji, BO Odunoye, FB Elehinafe, RO Oyinlola, AO Olayemi
Heliyon, 7(1) (2021)
Citations: 47

Data on the treatment of used lubricating oil from two different sources using solvent extraction and adsorption
TE Oladimeji, JA Sonibare, JA Omoleye, AA Adegbola, HI Okagbue
Data in Brief, 19, 2240-2252 (2018)
Citations: 46

Preparation and characterization of activated carbon from plantain peel and coconut shell using biological activators
VE Efeovbokhan, EE Alagbe, B Odika, R Babalola, TE Oladimeji, et al.
Journal of Physics: Conference Series, 1378(3), 032035 (2019)
Citations: 40

A review on treatment methods of used lubricating oil
TE Oladimeji, JA Sonibare, JA Omoleye, ME Emetere, FB Elehinafe
International Journal of Civil Engineering and Technology (IJCIET), 9(12), 506-514 (2018)
Citations: 27

Implications of lack of maintenance of motorcycles on ambient air quality
OA Odunlami, FB Elehinafe, TE Oladimeji, MA Fajobi, OB Okedere, et al.
IOP Conference Series: Materials Science and Engineering, 413, 012055 (2018)
Citations: 25

Statistical examination of the aerosols loading over Kano-Nigeria: the satellite observation analysis
ME Emetere, ML Akinyemi, TE Oladimeji
Przegląd Naukowy Inżynieria i Kształtowanie Środowiska, 25 (2016)
Citations: 25

Environmental Impact Analysis of the Emission from Petroleum
OKMOOR Oladimeji T. E., Sonibare J. A.
Energy and Environment Research, 5(1), 33-41 (2015)
Citations: 20

Modeling of criteria air pollutant emissions from selected Nigerian petroleum refineries
T Oladimeji, J Sonibare, M Odunfa, A Ayeni
Journal of Power and Energy Engineering, 3(06), 31 (2015)
Citations: 19

 

Conclusion:

Dr. Temitayo Oladimeji is an exemplary candidate for the Best Researcher Award due to her academic achievements, impactful research, and dedication to advancing sustainable solutions in chemical engineering. Her work is well-aligned with global environmental challenges, and her ability to produce innovative, practical solutions is a testament to her expertise. Although there is room for improvement in increasing her international exposure and diversifying her research, her existing body of work and continued contributions to the field position her as a strong contender for the award.

 

 

 

Wenbo Li | Engineering | Best Researcher Award

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Prof. Wenbo Li | Engineering | Best Researcher Award

Prof. Wenbo Li,  Northeastern University, China

Prof. Wenbo Li, hailing from Chifeng, Inner Mongolia, is a distinguished academic and researcher at Northeastern University, China, where he was exceptionally promoted to professor and serves as a doctoral supervisor. A national-level young talent, Prof. Li leads groundbreaking work as the chief young scientist of the National Key R&D Program and is the recipient of prestigious accolades such as the Liaoning Province Outstanding Youth Fund and recognition as a leading talent in Shenyang.

Education:

Doctor of Philosophy (PhD)

Institution: Northeastern University, Shenyang, Liaoning, China
Department: Mineral Processing Engineering
Duration: September 1, 2010 – December 20, 2014

Master’s Degree

Institution: Northeastern University, Shenyang, Liaoning, China
Department: Mineral Processing Engineering
Duration: September 1, 2008 – July 15, 2010

Bachelor’s Degree

Institution: Northeastern University, Shenyang, Liaoning, China
Department: Mineral Processing Engineering
Duration: September 1, 2004 – July 15, 2008

 

Professional Profile:

Orcid Profile

Scopus profile

 

Professional Experience:

Prof. Wenbo Li, a prominent academic from Chifeng, Inner Mongolia, has demonstrated exceptional achievements throughout his career. As a professor and doctoral supervisor at Northeastern University, China, Prof. Li has been recognized as a national-level young talent, highlighting his exceptional contributions to Mineral Processing Engineering. With accolades including the Liaoning Province Outstanding Youth Fund and leadership roles such as chief young scientist of the National Key R&D Program, his academic journey and leadership mark him as a distinguished researcher.

Research Interests:

Prof. Li has spearheaded transformative research in the efficient sorting and high-value utilization of strategic mineral resources like iron, rare earth, and graphite. With 23 research projects under his leadership and over ¥20 million in enterprise collaborations, his innovative approach integrates basic research, pilot testing, and engineering application. His collaborative initiatives extend globally, fostering partnerships with enterprises such as Jiusteel and institutions in Zambia, further enhancing the practical relevance of his research.

 

Publications:

 

1. Green approach for separating iron and rare earths from complex polymetallic solid residues via hydrogen-based mineral phase transformation: A pilot-scale study

Authors: Ning, J., Gao, P., Yuan, S., Sun, Y., Li, W.

Journal: Separation and Purification Technology, 2024, 350, 128006

Citations: 1

2. Recent technology developments in beneficiation and enrichment of ilmenite: A review

Authors: Wang, H., Zhang, X., Qu, R., Zhang, L., Li, W.

Journal: Minerals Engineering, 2024, 219, 109084

Citations: 0

3. A zero-carbon emission approach for the reduction of refractory iron ores: Mineral phase, magnetic property and surface transformation in hydrogen system

Authors: Li, W., Wang, H., Han, Y., Zhang, X., Han, W.

Journal: International Journal of Hydrogen Energy, 2024, 89, pp. 531–540

Citations: 0

4. High efficiency separation of bastnaesite (REFCO3) and monazite (REPO4) in mixed rare earth concentrate by heating under N2 and leaching with HCl/AlCl3

Authors: He, J., Gao, P., Yuan, S., Sun, Y., Li, W.

Journal: Hydrometallurgy, 2024, 228, 106338

Citations: 1

5. Effect of different mills on the fine grinding characteristics and leaching behaviour of gold ore

Authors: Zhang, X., Wei, H., Han, Y., Zhou, Z., Li, W.

Journal: Minerals Engineering, 2024, 215, 108800

Citations: 0

6. Thermal decomposition mechanism and kinetics of bastnaesite in suspension roasting process: A comparative study in N2 and air atmospheres

Authors: Li, W., Chen, J., Cheng, S., Sun, J., Zhang, X.

Journal: Journal of Rare Earths, 2024, 42(9), pp. 1809–1816

Citations: 2

7. A clean and green technology for iron extraction from refractory siderite ore via fluidization self-magnetization roasting

Authors: Zhang, X., Liu, P., Gao, P., Han, Y., Li, W.

Journal: Powder Technology, 2024, 444, 119993

Citations: 0

8. Isothermal and non-isothermal decomposition mechanisms of bastnaesite during the hydrogen-based mineral phase transformation

Authors: Zhang, Q., Sun, Y., Han, Y., Gao, P., Li, W.

Journal: International Journal of Hydrogen Energy, 2024, 68, pp. 929–939

Citations: 3

9. Effect of sodium carboxymethyl cellulose on the interaction between hematite particles and bubbles

Authors: Zhi, H., Dong, Z., Wang, H., Liu, J., Li, W.

Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2024, 688, 133649

Citations: 1

10. Influence of the screw-thread rod matrix on the magnetic capture behavior of bastnaesite

Authors: Li, W., Sun, J., Zhang, X., Cheng, S., Ding, X.

Journal: Powder Technology, 2024, 440, 119738

Citations: 0

 

Conclusion:

Prof. Wenbo Li is a highly suitable candidate for the Best Researcher Award due to his exceptional academic credentials, significant research contributions, impactful industry collaborations, and national recognition. His work in mineral processing, rare earths, and strategic resource utilization aligns with critical global priorities. With minor advancements in interdisciplinary research and global outreach, his candidacy could be unparalleled.

 

 

 

Pallavi Singh | Engineering | Most Cited Article Award

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Dr. Pallavi Singh | Engineering | Most Cited Article Award

Dr. Pallavi Singh, Hindustan Institute of technology and science, India

Dr. Pallavi Singh is a distinguished academic and researcher in Electronics and Communication Engineering at Hindustan Institute of Technology and Science, India. She has over a decade of teaching experience, including roles at MANIT Bhopal and CMRIT Bangalore, and a year in the industry at Spice.Net Limited, Delhi. Her research focuses on optical technologies, including SOA-MZI-based systems for optical logic gates and communication. She has authored numerous SCI-indexed journal articles on optical computing and network systems. With extensive academic contributions, Dr. Singh continues to advance optical communication technologies.

Professional Profiles

Scopus Profile

Orcid Profile

Google scholar Profile

Professionals Experience

Pallavi Singh is an accomplished professional with extensive experience in the fields of engineering, teaching, and research. She holds a robust academic and professional background in Electronics and Communication Engineering. Pallavi began her career in the industry as an Engineer in the Technical Support Division at EIL Delhi, working with Spice.Net Limited, New Delhi, from June 2002 to August 2003. She later transitioned to academia, amassing over 10 years of teaching experience in prestigious institutions across India.

Her teaching tenure includes roles as Lecturer at MANIT Bhopal and CMRIT Bangalore, where she gained valuable experience educating and mentoring students. Since July 2018, she has been serving as an Assistant Professor (Selection Grade) at Hindustan Institute of Technology and Science, Chennai, a renowned Deemed-to-be University. Her teaching career is complemented by her research expertise, gained during her four years and five months as a researcher at Allahabad University, Uttar Pradesh, where she delved into critical areas of Electronics and Communication Engineering.

Research Interests

Pallavi’s research interests focus on advanced communication systems, signal processing, and electronic circuit design, aiming to contribute innovative solutions to the industry and academia. With a blend of industrial, academic, and research experiences, Pallavi Singh is dedicated to advancing the field of Electronics and Communication Engineering through her work as an educator, mentor, and researcher.

Publications 

“Robotic Surveillance Monitoring for Land and Underwater Security”

Authors: Manoharan, L., Singh, P., Kumar, V.V., Adhil, M., Priyan, S.S.

Year: 2024

Citations: 0

“Smart City Transport Updater”

Authors: Kavitha, C.B., Singh, P., Vardhan, K.L., Deepak, D.

Year: 2023

Citations: 0

“Neural Network Architecture for ROI Segmentation Based on Melanoma Detection”

Authors: Singh, P., B.c, K., Naveen, P., Reddy, N.K.

Year: 2023

Citations: 0

Journal Articles

“Light fidelity optical network a comparative performance evaluation”

Authors: Tripathi, D.K., Singh, P.

Year: 2023

Citations: 1

“Novel approach to jointly optimize working and spare capacity of survivable optical networks”

Authors: Singh, A.K., Arun, V., Singh, P., Upadhayay, K.K.

Year: 2023

Citations: 0

“Comparative study of all-optical INVERTER and BUFFER gates using MZI structure”

Authors: Singh, P., Singh, A.K., Arun, V., Tripathi, D.K.

Year: 2023

Citations: 4

Conclusion

Dr. Pallavi Singh is a strong candidate for the “Most Cited Article Award.” Her impactful contributions to optical systems and logic gate designs, coupled with a consistent record of publications in high-impact journals, highlight her excellence in research. Addressing minor gaps in collaboration and visibility could further solidify her candidacy for this prestigious recognition.

 

 

 

Aleksandar Jovanovic | Engineering Award | Most Reader’s Article Award

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Assoc Prof Dr. Aleksandar Jovanovic | Engineering Award | Most Reader’s Article Award

professor at Faculty of engineering University of Kraguejvac, Serbia

Dr. Aleksandar Jovanovic is a distinguished academic with extensive experience in transportation and traffic engineering. He completed his PhD at the University of Belgrade in 2017, focusing on Operations Research in Urban Transportation. His academic journey also includes an MSc and BSc in Traffic Engineering and Urban Transportation from the same institution. Dr. Jovanovic’s career encompasses a range of positions, including his current role as Associate Professor at the University of Kragujevac, Serbia, where he has been employed since November 2022. He has previously served as a Postdoctoral Associate at the University of Pittsburgh, and as a Visiting Scholar there. His earlier roles include Assistant Professor at the University of Kragujevac, and Visiting Assistant Professor at the University of Banja Luka. His teaching experience spans undergraduate and graduate courses in traffic engineering, both in Serbia and the United States. He has been recognized with several honors, including a Professional Development Award in 2023 and the Best Paper Award at ICCMAE 2018. Dr. Jovanovic was also a recipient of the Serbian Governmental Scholarship from 2006 to 2017.

Professional Profiles:

📚 Education:

Dr. Aleksandar Jovanovic completed his PhD at the University of Belgrade, Serbia, in October 2017, specializing in Operations Research in Urban Transportation at the Faculty of Transport and Traffic Engineering. Prior to this, he earned his MSc in Traffic Engineering from the same institution in October 2011. Dr. Jovanovic’s academic journey began with a BSc in Urban Transportation, also from the University of Belgrade, awarded in October 2010.

Pofessional Experience:

Dr. Aleksandar Jovanovic has accumulated a wealth of experience in academia and research. From November 2022 to October 2023, he served as a Postdoctoral Associate at the University of Pittsburgh’s Swanson School of Engineering. Prior to this, he was a Visiting Scholar at the same institution from August to November 2021. Currently, Dr. Jovanovic holds the position of Associate Professor at the Department for Motor Vehicles and Motors at the University of Kragujevac, Faculty of Engineering in Serbia, a role he has occupied since November 2022. He previously served as an Assistant Professor at the same department from September 2018 to November 2022 and as a Visiting Assistant Professor at the University of Banja Luka, Faculty of Mechanical Engineering, from March 2019 to October 2022. Earlier in his career, Dr. Jovanovic was a Teaching Assistant in the Department of Road Traffic at the State Engineering College of Applied Studies “Tehnikum Taurunum” in Belgrade from September 2016 to September 2018, and a Junior Teaching Assistant at the State Technical College of Applied Studies in Kragujevac from September 2013 to September 2015.

Teaching Experience:

Dr. Aleksandar Jovanovic has an extensive teaching background, spanning both undergraduate and graduate courses. At the University of Pittsburgh, he has served as a Co-Instructor for the undergraduate courses “Traffic Control Systems” in Spring 2023 and “Traffic Management and Operations” in Fall 2023. At the University of Kragujevac, his teaching roles included instructing undergraduate courses such as “Urban Transportation” from Spring 2018 to 2022, “Traffic Safety” from Fall 2018 to 2021, and “Informatics in Traffic Engineering” from Spring 2018 to 2022. He also co-instructed “Traffic and Traffic Roads” from Fall 2018 to 2020. For graduate students at the University of Kragujevac, Dr. Jovanovic taught “Informatic Systems in Traffic Engineering” in Spring 2018 to 2022, and “Operations Research Applications in Traffic Engineering” from Fall 2019 to 2021. Additionally, he provided a lecture on “Applications of Fuzzy Logic Systems in Traffic Signal Control” for graduate students at the Pittsburgh Intelligent Transportation Systems (PITTs) Lab in Fall 2021.

Awards And Honors:

Dr. Aleksandar Jovanovic has received several notable honors and awards throughout his career. In 2023, he was recognized with a Professional Development Award for his poster presentation at the Postdoctoral Data and Dine Symposium. In 2019, he earned the Best Paper Award at the International Conference on Computational Mathematics and Engineering (ICCMAE) 2018 in Timisoara, specifically in the Applied/Computational Mathematics section. Additionally, between 2006 and 2017, Dr. Jovanovic was a recipient of the Serbian Governmental Scholarship, reflecting his academic excellence and commitment to his field.

Skills:

Dr. Aleksandar Jovanovic possesses a diverse set of computer skills and competencies. In the field of traffic simulation and analysis, he is proficient with tools such as PTV Vissim (including COM and VAP), HCS+T7F, Synchro, and SUMO. For design tasks, he utilizes AutoCAD. Additionally, Dr. Jovanovic is skilled in scripting languages, including Matlab and Python, which he employs for various analytical and programming tasks.

📚Publications :

“Area-wide urban traffic control: A Bee Colony Optimization approach”
Authors: A Jovanović, M Nikolić, D Teodorović
Citations: 85
Year: 2017

“Green vehicle routing in urban zones–A neuro-fuzzy approach”
Authors: AD Jovanović, DS Pamučar, S Pejčić-Tarle
Citations: 82
Year: 2014

“Pre-timed control for an under-saturated and over-saturated isolated intersection: a Bee Colony Optimization approach”
Authors: A Jovanović, D Teodorović
Citations: 26
Year: 2017

“Ecology based network traffic control: A bee colony optimization approach”
Authors: A Jovanović, A Stevanović, N Dobrota, D Teodorović
Citations: 13
Year: 2022

“Fixed-time traffic control at superstreet intersections by bee colony optimization”
Authors: A Jovanović, D Teodorović
Citations: 12
Year: 2022

“The assessment and selection of suppliers using AHP and MABAC with type-2 fuzzy numbers in automotive industry”
Authors: N Komatina, D Tadić, A Aleksić, AD Jovanović
Citations: 11
Year: 2023

“Restricted crossing U-turn traffic control by interval Type-2 fuzzy logic”
Authors: A Jovanović, K Kukić, A Stevanović, D Teodorović
Citations: 11
Year: 2023

“Type-2 fuzzy logic based transit priority strategy”
Authors: A Jovanović, D Teodorović
Citations: 10
Year: 2022

“A fuzzy logic simulation model for controlling an oversaturated diverge diamond interchange and ramp metering system”
Authors: A Jovanović, K Kukić, A Stevanović
Citations: 9
Year: 2021

“Multi-objective optimization of a single intersection”
Authors: A Jovanović, D Teodorović
Citations: 8
Year: 2021