Mohammad Jafar Hemmati | Engineering Award | Best Researcher Award

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Assist. Prof. Dr. Mohammad Jafar Hemmati | Engineering Award | Best Researcher Award

Assist. Prof. Dr. Mohammad Jafar Hemmati, Sirjan University of Technology, Iran

Assist. Prof. Dr. Mohammad Jafar Hemmati, based in Kerman, Iran, is an accomplished electrical engineer specializing in low-voltage and low-noise oscillator designs. He holds a PhD in Electrical Engineering from Shahid Bahonar University of Kerman (2019), focusing on Colpitts quadrature oscillators in CMOS technology. He also earned an MSc from Ferdowsi University of Mashhad (2010) and a BSc from Shahid Chamran University of Kerman. Currently, he lectures at Sirjan University of Technology, where he teaches courses on CMOS Integrated Circuits and Digital Logic Circuits. His research interests include VCOs, frequency dividers, and low-noise amplifiers. 📡👨‍🏫📘

 

Publication Profile

Google Scholar

Education 🎓

Dr. Mohammad Jafar Hemmati completed his Ph.D. in Electrical Engineering at Shahid Bahonar University of Kerman (2014-2019). His thesis focused on designing a low-voltage Colpitts quadrature oscillator using the gm-enhanced technique in CMOS technology. He also holds an M.Sc. in Electrical Engineering from Ferdowsi University of Mashhad (2008-2010) and a B.Sc. from Shahid Chamran University of Kerman (2003-2007). His academic background strongly supports his expertise in low-power and low-noise circuit design.

Work Experience 💼

Dr. Hemmati is currently a lecturer at Sirjan University of Technology, where he teaches CMOS Integrated Circuits, Digital Logic Circuits, and more. His previous roles include being the head of the electrical department at Islamic Azad University, Firouzabad branch, and a design engineer at Kerman Tablo Electrical and Electronics Engineering Corporation. His broad teaching experience and industry involvement enrich his contributions to research and academia.

Research Interests 🔬

His research focuses on designing low-voltage and low-noise voltage-controlled oscillators (VCOs), injection-locked frequency dividers, low-noise amplifiers, and active mixers. These areas are critical for advancing modern communication and signal processing systems, reflecting his strong alignment with cutting-edge engineering challenges.

Conclusion 🌟

Dr. Mohammad Jafar Hemmati’s solid educational foundation, extensive research, and professional experience make him a highly suitable candidate for the Research for Best Researcher Award. His innovative work on low-power, low-noise VCOs and oscillators has significantly contributed to the advancement of electrical engineering, establishing him as a leader in his field.

 

Publication Top Notes

  • 📚 A CMOS quadrature VCO with optimized Colpitts topology for low-voltage applications – 9 citations, 2018
  • 📚 Design optimization of the complementary voltage controlled oscillator using a multi-objective gravitational search algorithm – 8 citations, 2023
  • 📚 A low-voltage swing-enhanced Colpitts CMOS LC-QVCO based on first-harmonics coupling – 7 citations, 2019
  • 📚 Ultra‐low‐phase‐noise CMOS LC quadrature voltage controlled oscillator with Colpitts topology – 7 citations, 2014
  • 📚 A second-harmonic LC-quadrature voltage controlled oscillator with direct connection of MOSFETs’ substrate – 6 citations, 2012
  • 📚 Analysis and review of main characteristics of Colpitts oscillators – 5 citations, 2021
  • 📚 CMOS second-harmonic quadrature voltage controlled oscillator using substrate for coupling – 5 citations, 2011
  • 📚 Novel six‐phase ring voltage controlled oscillator with wide frequency tuning range – 4 citations, 2024
  • 📚 A New Low-Power and High-Linearity CMOS Bulk-Injection Mixer in Technology – 4 citations, 2018
  • 📚 Low power differential Colpitts injection-locked frequency dividers using 0.18 μm CMOS technology – 3 citations, 2018

 

Ali Fardoost | Engineering | Best Researcher Award

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Mr. Ali Fardoost | Engineering | Best Researcher Award

Graduate Research Assistant, Rutgers University,  United States

Ali Fardoost is a Ph.D. student in Electrical Engineering at Rutgers University, with a strong focus on biosensing, biosensor fabrication, and nanobiotechnology. His research involves the development of innovative cancer biomarker detection systems, microfluidics, and nanowell-based biosensors. With a B.Sc. from the University of Tehran, his academic achievements include a top ranking and an award-winning thesis on cancer detection using real-time impedance measurement. Ali has hands-on experience in cleanroom environments and expertise in advanced software tools. His contributions are demonstrated in several publications, reflecting his dedication to advancing healthcare diagnostics and nanotechnology.

Publication Profile :

Scopus

Educational Background :

Ali Fardoost holds a Ph.D. in Electrical Engineering from Rutgers University and a B.Sc. from the University of Tehran, with excellent academic records (GPA of 4/4 and 3.64/4, respectively). His B.Sc. thesis, which developed a system for differentiating healthy and cancerous lymph nodes, reflects a focus on real-world, critical health issues. Being ranked in the top 0.07% of a national university entrance exam and being recognized as an exceptional talent at the University of Tehran further underscore his academic excellence and intellectual prowess.

Professional Background :

Ali Fardoost is a dedicated researcher currently pursuing his Ph.D. in Electrical Engineering at Rutgers University, with a focus on biosensor development for cancer biomarker detection. He is a Graduate Research Assistant in the NanoBioElectronics Lab, where he designs and fabricates nanowell-based biosensors for healthcare applications. His prior experience includes research on blood impedance spectroscopy for breast cancer diagnosis at the University of Tehran. Ali has developed and tested various biosensors, combining his skills in microfabrication and data analysis. His work aims to innovate in biomedical diagnostics, with a particular focus on cancer detection technologies.

Research Interests :

Ali Fardoost’s research interests span a range of cutting-edge topics in biosensing, biosensor fabrication, microfluidics, nanobioelectronics, and cancer biomarker detection. His focus on developing biosensors for cancer detection, particularly using microfabrication techniques and impedance spectroscopy, aligns with the forefront of bioengineering research. Additionally, his work on nanobiotechnology indicates his commitment to advancing interdisciplinary research, blending electrical engineering with biomedical applications. These areas are pivotal for innovations in healthcare, specifically in diagnosing and monitoring cancer, a critical global health concern.

Research Experience :

Ali has extensive research experience at both Rutgers University and the University of Tehran. His work includes fabricating biosensors for cancer biomarker detection, performing blood impedance spectroscopy for breast cancer diagnosis, and measuring the impedance of thyroid nodules for intraoperative assessment. His hands-on expertise in microfabrication, sensor design, and real-time diagnostics, coupled with his contributions to impactful projects such as cancer detection, demonstrates his deep engagement in the practical application of his research.

Award And Recognition :

Ali Fardoost has been recognized for his exceptional academic and research achievements. He was awarded the Best B.Sc. Thesis Award at the University of Tehran in 2023 for his innovative work on cancer detection using impedance measurement. Additionally, he was accepted for a Master’s program without the need for an entrance exam due to his exceptional academic performance. Ranked 25th among all undergraduate students at the University of Tehran’s College of Electrical and Computer Engineering, Ali also placed in the top 0.07% of participants in Iran’s highly competitive Nationwide University Entrance Exam (Konkoor).

Conclusion :

Ali Fardoost’s strong academic background and cutting-edge research in biosensing, cancer biomarker detection, and nanobiotechnology make him a highly suitable candidate for the Research for Best Researcher Award. His Ph.D. work at Rutgers University and B.Sc. from the University of Tehran demonstrate his exceptional academic performance, while his research projects reflect a deep commitment to solving real-world healthcare challenges. His achievements in microfluidics and biosensor fabrication, along with his focus on cancer diagnosis, show his potential for meaningful contributions to biomedical engineering. Overall, his innovative research and dedication make him a deserving candidate for this prestigious award.

Publication Top Notes :

  • Optimization of Nanowell-Based Label-Free Impedance Biosensor Based on Different Nanowell Structures – Fardoost, A., Raji, H., Javanmard, M. (2024) 📅 Biosensors, 14(9), 426 | Cited by: 0
  • Intraoperative Assessment of High-Risk Thyroid Nodules Based on Electrical Impedance Measurements: A Feasibility Study – Beheshti Firoozabadi, J., Mahdavi, R., Shamsi, K., Akbari, M.E., Abdolahad, M., Fardoost, A. (2022) 📅 Diagnostics, 12(12), 2950 | Cited by: 0

Akram Sheikhi | Engineering Award | Best Researcher Award

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Prof. Akram Sheikhi | Engineering Award | Best Researcher Award

Prof. Akram Sheikhi, Lorestan University, Iran

Based on the information provided, Prof. Akram Sheikhi appears to be a strong candidate for the Research for Best Researcher Award. Here’s a detailed evaluation:

Publication profile

Scopus

Google Scholar

Education and Academic Background

Prof. Akram Sheikhi holds a Ph.D. in Electrical Engineering from Razi University, Iran (2011-Mar. 2015), a Master’s degree from the same institution (2008-Aug. 2010), and a Bachelor’s degree in Electrical Engineering from Shariaty Technical College, Tehran, Iran (2005-Jul. 2007). His academic credentials are robust and reflect a solid foundation in electrical engineering, which is crucial for advanced research.

Skills and Expertise

Prof. Sheikhi is proficient in analyzing passive and active circuits, designing high-frequency PCB boards, and using various design and simulation tools such as Altium, Advanced Design System, and PSpice. His intermediate skills in HFSS, CST, HSPICE, and Matlab, along with proficiency in LATEX and Office, enhance his capability to conduct and present sophisticated research. These technical skills are essential for the advanced research topics he is involved in.

Academic Experience

Prof. Sheikhi has a diverse range of academic roles. He is currently a Visiting Associate Professor at the University of Bristol (Nov. 2023-Present) and an Associate Professor at Lorestan University (June 2020-Present). His previous positions include Assistant Professor and Lecturer at Lorestan University. This extensive academic experience demonstrates his ongoing commitment to research and education, which is a key factor for the Research for Best Researcher Award.

Honours and Awards

He graduated with honors in both his MSc and PhD programs and is a Senior Member of IEEE. These accolades highlight his academic excellence and recognition in the professional community, reflecting his high standing in the field of electrical engineering.

Research Interests

Prof. Sheikhi’s research interests are well-aligned with cutting-edge technology in electrical engineering. His focus areas include:

Advanced RF and Microwave Instrumentation and Measurements: Demonstrates expertise in high-frequency technologies.

RF and Microwave Wideband and Narrow-Band Power Amplifiers: Reflects a specialization in power amplification technologies.

Analog Passive Circuits Design and Optimization: Shows proficiency in circuit design and optimization.

Microwave Antenna and Sensors: Indicates a strong background in antenna design and sensing technologies.

Wireless Power Transfer Systems: Highlights involvement in innovative energy transfer solutions.

Artificial Intelligence (AI) Applications in RF/Microwave Circuits: Points to an integration of AI with traditional RF/microwave technologies, showcasing a forward-looking approach.

Publication Top Notes

  • Design of compact wide stopband microstrip low-pass filter using T-shaped resonator – A Sheikhi, A Alipour, A Abdipour, IEEE Microwave and Wireless Components Letters 27 (2), 111-113 📈 (65 citations) 2017
  • Design and fabrication of an ultra-wide stopband compact bandpass filter – A Sheikhi, A Alipour, A Mir, IEEE Transactions on Circuits and Systems II: Express Briefs 67 (2), 265-269 📉 (43 citations) 2019
  • Ultra high capacity inter-satellite optical wireless communication system using different optimized modulation formats – A Alipour, A Mir, A Sheikhi, Optik 127 (19), 8135-8143 🌌 (42 citations) 2016
  • Compact lowpass filter with wide stopband using modified semi-elliptic and semi-circular microstrip patch resonator – M Hayati, A Sheikhi, A Lotfi, Electronics Letters 46 (22), 1507-1509 🔍 (38 citations) 2010
  • Design of microstrip wide stopband lowpass filter with lumped equivalent circuit – A Sheikhi, A Alipour, H Hemesi, Electronics Letters 53 (21), 1416-1418 💡 (32 citations) 2017
  • High-Efficiency Class-and Class-F/E Power Amplifiers at Any Duty Ratio – A Sheikhi, M Hayati, A Grebennikov, IEEE Transactions on Industrial Electronics 63 (2), 840-848 📊 (31 citations) 2015
  • Class-F power amplifier with high power added efficiency using bowtie-shaped harmonic control circuit – M Hayati, A Sheikhi, A Grebennikov, IEEE Microwave and Wireless Components Letters 25 (2), 133-135 📉 (31 citations) 2015
  • Effect of Nonlinearity of Parasitic Capacitance on Analysis and Design of Class E/F3 Power Amplifier – M Hayati, A Sheikhi, A Grebennikov, IEEE Transactions on Power Electronics 30 (8), 4404-4411 🔬 (30 citations) 2014
  • Microstrip lowpass filter with high and wide rejection band – M Hayati, H Asadbeigi, A Sheikhi, Electronics Letters 48 (19), 1217-1219 📉 (30 citations) 2012
  • Design and Analysis of Class E/F Power Amplifier with Nonlinear Shunt Capacitance at Nonoptimum Operation – M Hayati, A Sheikhi, A Grebennikov, IEEE Transactions on Power Electronics 30 (2), 727-734 📈 (28 citations) 2014


Conclusion

Prof. Akram Sheikhi’s combination of a solid educational background, extensive skills and expertise, substantial academic experience, recognized honours and awards, and diverse research interests make him a highly suitable candidate for the Research for Best Researcher Award. His contributions to advanced RF and microwave technologies and integration with AI are particularly noteworthy, positioning him as a leading researcher in his field.

 

Ibrahim Sadek | Engineering | Best Researcher Award

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Ibrahim Sadek | Engineering | Best Researcher Award

Dr Ibrahim Sadek, Helwan University, Egypt

Dr. Ibrahim Sadek is a seasoned expert in biomedical engineering and artificial intelligence, with an impressive academic background that spans across Egypt, France, and Singapore 🌍. He holds a Ph.D. in Computer Science from the University of Montpellier and has served in notable roles including postdoctoral fellowships at the University of Sherbrooke and ST Electronics-SUTD Cyber Security Laboratory. Currently, he leads the AI program at the University of Hertfordshire’s GAF Cairo campus 🇪🇬. His work in signal processing and machine learning has garnered awards and led to groundbreaking advancements in healthcare and cybersecurity 🚀. Fluent in Arabic and English, Dr. Sadek’s multilingual prowess complements his technical skills in Python, C++, and MATLAB 💡.

Publication profile

google scholar

Education

He completed his Ph.D. in Computer Science from the University of Montpellier, France 🇫🇷, in 2018, with a focus on pervasive access technologies through collaboration with IPAL and CNRS UMI 2955/A*STAR in Singapore 🇸🇬. Dr. [Name] holds a distinguished M.Sc. in Computer Vision and Robotics from the prestigious VIBOT program, involving studies at Heriot-Watt University in the UK 🇬🇧, University of Burgundy in France, and University of Girona in Spain 🇪🇸. He earned his B.Sc. in Biomedical Engineering from Helwan University, Egypt 🇪🇬, graduating top of his class with honors. He also spent a year at the University of Chemical Technology and Metallurgy in Bulgaria 🇧🇬 through the Erasmus Mundus program. 🎓🌟

Experience

During my postdoctoral research fellowship at the University of Sherbrooke, Canada (09/2019 to 08/2021), I developed signal processing and machine learning tools to analyze in-bed ballistocardiogram signals for detecting abnormal cardiac events, such as arrhythmias, and abnormal breathing events like obstructive sleep apnea. 📊❤️ Since December 2019, I’ve been lecturing at the Biomedical Engineering Department, Helwan University, Egypt, teaching courses including Biomedical Signal Processing and Neural Networks. 🎓🧠 As of December 2023, I lead the Computer Science/Artificial Intelligence Programme at the University of Hertfordshire’s Faculty of Engineering, hosted by GAF Cairo, Egypt. My role includes coordinating modules and exams, and maintaining academic communication between institutions. 🌍🖥️ My previous roles include part-time instructor positions at the University of Hertfordshire and Cairo University, teaching subjects like Software Architecture and Biomedical Data Analytics. 🏫📚 Additionally, I was a postdoctoral fellow at ST Electronics-SUTD Cyber Security Laboratory, Singapore (06/2018 to 07/2019), where I worked on malware detection and network traffic anomaly analysis. 🔍💻 My research background also includes a Ph.D. in nonintrusive nocturnal remote monitoring of vital signs and a master’s internship on the automatic discrimination of retinal images, which led to a best paper award at SPIE 2015. 🏆🔬

Awards

During the years 2015 to 2018, I received the A*STAR Research Attachment Program (ARAP) Grant 🌟, coordinated by the Institute for Infocomm Research (I2R) in Singapore and the Institute Mines-Telecom in France. In 2016, I secured the Alexandra Health Enabling Grant (AHEG1606) for a project at Khoo Teck Puat Hospital in Singapore 🏥, focused on developing a novel unobstructed mattress sensor to detect obstructive sleep apnea 😴. I won the Robert F. Wagner All-Conference Best Student Paper Award in 2015 📜 for my paper on retinal image discrimination. I was also a recipient of the Erasmus Mundus Grant in Computer Vision and Robotics (2012-2014) 🤖, coordinated by three European universities. Earlier, I won the Young Innovator’s Award in 2010 🏆 for my graduation project, and from 2007 to 2008, I held an undergraduate scholarship through the Erasmus Mundus External Cooperation Window 🎓, coordinated by the University of Chemical Technology’s biotechnology engineering department.

Research focus

Ibrahim Sadek‘s research primarily focuses on nonintrusive health monitoring, emphasizing the use of advanced signal processing techniques for various medical applications. His work spans ballistocardiogram (BCG) signal processing for heart rate and vital signs monitoring 🩺💓, nonintrusive methods for sleep apnea detection 🛌💤, and the application of machine learning and IoT technologies in healthcare 🧠📡. Sadek also explores image processing for retinal health analysis 👁️🖼️, privacy and security concerns in IoT-based healthcare systems 🔐📱, and comparative studies of wearable and non-wearable devices for health tracking 🚶‍♂️📲. His research integrates interdisciplinary approaches to enhance non-invasive medical diagnostics and patient monitoring systems.

Publication top notes

Okan Mert Katipoğlu | Civil Engineering Award | Best Researcher Award

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Dr. Okan Mert Katipoğlu | Civil Engineering Award | Best Researcher Award

Dr. Okan Mert Katipoğlu, Erzincan Binali Yıldırım University, Turkey

Dr. Okan Mert Katipoğlu, a Turkish civil engineer, holds a Ph.D. in Civil Engineering from Atatürk University. Specializing in disaster and emergency management, his research focuses on analyzing meteorological and hydrological droughts in the Fırat basin. With expertise in statistical analysis, GIS, and AI, he explores various fields including hydraulic engineering and surface water management. Proficient in languages like English and Russian, he’s also certified in aquanaut diving. Dr. Katipoğlu’s diverse skill set includes software proficiency in MATLAB, Python, and ArcGIS. 🌐📊🛠️

 

Publication Profile

Google Scholar

Education

With a lifelong dedication to engineering, Dr. Okan Mert Katipoğlu’s academic journey reflects his passion for construction and disaster management. Beginning with a Bachelor’s degree in Civil Engineering from Atatürk University, he delved deeper into the field through his Master’s and Doctorate studies, also at Atatürk University. His doctoral research focused on analyzing droughts in the Fırat basin, showcasing his commitment to understanding and mitigating environmental challenges. Currently pursuing a degree in Emergency and Disaster Management, his educational path exemplifies a relentless pursuit of knowledge in engineering and resilience-building. 🏗️🌊📚

Research Focus

Dr. Okan Mert Katipoğlu’s research primarily focuses on hydrological and meteorological phenomena, particularly droughts, in the Euphrates Basin, Turkey. Employing a multidisciplinary approach, he investigates spatiotemporal variations, trends, and impacts of droughts using advanced statistical and machine learning techniques. His work extends to predicting streamflow drought indices, filling missing data gaps, and forecasting flood routing in various regions of Turkey. Through innovative methodologies like wavelet transform, artificial intelligence, and signal processing, he contributes significantly to understanding and managing water resources in semi-arid environments. Dr. Katipoğlu’s research embodies a commitment to environmental sustainability and resilience. 🌊📊🔍

Publication Top Notes

 

 

 

Simerdeep Sood | Structural Engineering Award | Best Researcher Award

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Simerdeep Sood | Structural Engineering Award | Best Researcher Award

Simerdeep Sood, Sardar Vallabhbhai National Institute of Technology, India

Simerdeep Kaur Sood is a PhD candidate in Structural Engineering at Sardar Vallabhbhai National Institute of Technology (SVNIT), focusing on nanomaterials in cement composites. A gold medalist in both her BE and ME, she achieved first rank in Gujarat State. As proprietor of Stark Building Concepts and CEO of Decaloog Pedagogy Services, she excels in structural design and educational consulting. Fluent in English, Hindi, Punjabi, and Gujarati, Simerdeep is also an avid reader, dancer, and occasional gamer. Her research has been published in esteemed journals, reflecting her dedication to advancing structural engineering. 📐📖💼

 

Publication Profile

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Education

🎓 Simerdeep Kaur Sood is currently pursuing her PhD in Structural Engineering at Sardar Vallabhbhai National Institute of Technology (SVNIT), focusing on the application of nanomaterials in cement composites for enhanced mechanical strength and fracture properties. She completed her ME in Structural Engineering from SCET, Gujarat Technological University, in 2022, achieving a CGPA of 9.37 and securing the first rank in Gujarat State 🥇. Simerdeep also completed her BE in Civil Engineering from SCET in 2020 with a CGPA of 9.73, attaining the highest CPI in the history of the college. Her academic journey began at Kids Planet English School, where she excelled with high percentile scores 📚.

 

Work Experience

💼 Simerdeep Kaur Sood is the proprietor of Stark Building Concepts, a consulting firm established in July 2020. The firm specializes in providing comprehensive structural designs, detailed drawings, and execution guidelines, along with proof-checking for residential, commercial, and industrial buildings. They also offer consulting services for government projects through various institutes and engineers 🏗️. Since 2018, Simerdeep has also served as the shareholder and CEO of Decaloog Pedagogy Services Pvt. Ltd., which offers consulting services in primary and secondary education. The company excels in event management for educational institutions and ensures deliverables across all educational departments, including sports and extra-curricular activities 🎓🎉.

 

Certificates 

🏅 Simerdeep Kaur Sood has achieved numerous certifications and accolades. She ranked first in Gujarat State for both her BE and ME degrees, earning a gold medal from the Institute of Architects and Civil Engineers (ICEA) for standing first in BE Civil, Surat. Additionally, she received three gold medals from Gujarat Technological University, Gujarat Institute of Civil Engineers and Architects (GICEA), and ICEA for her top performance in Gujarat State and ME Structural Engineering 🥇. Simerdeep attended a workshop on Digital Image Correlation at the Indian Institute of Science, Bangalore, and holds certifications from GATE, Gujarat Board, QCAD, and LibreOffice. Her dedication extends to various extra-curricular activities, earning her numerous certificates throughout her educational journey 📜🎓.

 

Research Focus

🔬 Simerdeep Kaur Sood focuses her research on the advanced field of nano-engineered cement composites, specifically studying their fracture performance. Her notable work, “An overview of recent advances in fracture performance of nano-engineered cement composites,” co-authored with GR Vesmawala and published in Construction and Building Materials, highlights the cutting-edge developments in this area. Her research aims to enhance the mechanical strength and fracture properties of cement composites by integrating nanomaterials, contributing to the development of next-generation construction materials. This innovative approach positions her at the forefront of structural engineering research, pushing the boundaries of material science 🏗️🧪.

 

Publication Top Notes

An overview of recent advances in fracture performance of nano engineered cement composites

Tongtong Wan | Engineering Award | Best Researcher Award

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Tongtong Wan | Engineering Award | Best Researcher Award

Tongtong Wan, East China Jiaotong University, China

Dr. Tongtong Wan is an accomplished scholar in civil engineering. She earned her Ph.D. from Chang’an University (2017-2023) and her Bachelor’s from Nanchang Hangkong University (2013-2017). She gained international experience as a visiting student at Nottingham University (2020-2021) 🌍 and is currently a lecturer at East China Jiaotong University (2023-present) 👩‍🏫. Her research on inverted pavement and pavement detection has been widely recognized, with publications in top journals like “Computer-Aided Civil and Infrastructure Engineering” 🏅. Dr. Wan has presented at major conferences and participated in several key research projects, earning accolades such as the best wall poster award and a national scholarship 🌟.

 

Publication Profile

Scopus

Education 🎓

Dr. Tongtong Wan earned her Ph.D. in civil engineering from Chang’an University (2017-2023) and her Bachelor’s degree from Nanchang Hangkong University (2013-2017).

Experience 🌍

She expanded her academic horizons as a visiting student at Nottingham University (2020-2021) and currently serves as a lecturer at East China Jiaotong University (2023-present).

Academic Achievements 🏅

Dr. Wan’s research centers on inverted pavement, unbound aggregates, slushing processes, and pavement detection. She has published around 10 papers in international and Chinese journals, including an article in the prestigious “Computer-Aided Civil and Infrastructure Engineering.” She has presented at notable conferences like WTC and SATC, winning the best wall poster award. Additionally, she was awarded a national scholarship for her studies at Nottingham University. Her contributions extend to projects under the National Natural Science Foundation, the Ministry of Transport, and the Hebei Provincial Department of Transportation, garnering recognition from experts in her field.

Research Focus

Dr. Tongtong Wan’s research focuses on several key areas in civil engineering, particularly in pavement engineering. Her work includes studying inverted asphalt pavement structures, optimizing evaluation indicators for asphalt pavement surface segregation, and examining the thermal contraction behavior between unbound aggregate layers and asphalt mixtures 🌟. She employs advanced methods such as the finite difference and discrete element coupling method and response surface method in her research 🛠️. Additionally, Dr. Wan investigates the use of smartphone image processing techniques for assessing pavement conditions 📱. Her contributions are published in reputable journals like “Computer-Aided Civil and Infrastructure Engineering” and “Construction and Building Materials” 📚.

 

Publication Top Notes

A method determining critical operating parameters for landing aircraft based on runway pavement skid resistance