Jiqing Wang | Engineering | Research Excellence Award

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Dr. Jiqing Wang | Engineering | Research Excellence Award

Beihang University School of Electronic and Information Engineering | China

Dr. Jiqing Wang is an emerging researcher in electronic science and intelligent computing, specializing in high-efficiency deep neural network acceleration and hardware–software co-design. His work bridges algorithm optimization—including model quantization, separable and partial convolution, and multi-scale feature extraction—with RTL-level FPGA/SoC hardware implementations. He has contributed to peer-reviewed, Scopus-indexed research, notably on hardware-friendly joint denoising and demosaicing systems that reduce model complexity while enhancing image quality and computational efficiency. With 29 citations across 24 documents and an h-index of 4, his research demonstrates growing impact in edge AI, computer vision acceleration, and reconfigurable hardware architectures, aligning with early-stage Research Excellence recognition.

Citation Metrics (Scopus)

30

25

20

15

10

5

0

Citations
29

Documents
7

h-index
4

■ Citations
■ Documents
■ h-index


View Scopus Profile

Featured Publications

Xiaolong Lu | Engineering | Best Researcher Award

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Dr. Xiaolong Lu | Engineering | Best Researcher Award

Dr. Xiaolong Lu, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, China

Dr. Xiaolong Lu (b. Jan 21, 1994) is a materials scientist at the State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, CAS. He holds a Master’s in Chemical Engineering from Tianjin University and a Bachelor’s in Process Equipment from Qilu University of Technology. His expertise spans CVD, PVD, BET, and advanced tribological testing 🧪. Dr. Lu has published multiple papers on high-entropy coatings, nanostructured materials, and wear-resistant films in top-tier journals 📚. His research contributes significantly to aerospace and industrial lubrication technologies

Publication Profile

Scopus

🎓 Educational Background

Dr. Xiaolong Lu began his academic journey in Process Equipment and Control Engineering at Qilu University of Technology, where he earned his Bachelor’s degree (2012–2016) 🏫. He then advanced his expertise by pursuing a Master’s degree in Chemical Engineering at the prestigious Tianjin University from 2016 to 2019 🧪. Throughout his academic training, Dr. Lu developed a strong foundation in mechanical design, materials science, and engineering principles, which laid the groundwork for his future contributions to advanced materials and tribology research 🔬📘. His education has played a vital role in shaping his innovative research career.

💼 Work Experience

Dr. Xiaolong Lu began his professional career at Sinohydro Foundation Engineering Co., Ltd from July to December 2019, gaining valuable industry experience in engineering projects 🏗️. In January 2020, he joined the prestigious State Key Laboratory of Solid Lubrication at the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 🏛️. There, he has been deeply involved in cutting-edge research on advanced tribological materials and surface coatings 🔬. His work focuses on developing innovative solutions for wear resistance and lubrication, contributing significantly to the field of materials science and engineering.

🔍 Research Focus

Dr. Xiaolong Lu’s research centers on advanced tribological materials and high-entropy coatings for wear resistance and lubrication applications ⚙️🛡️. His work extensively explores high-entropy nitrides and carbonitrides, investigating their mechanical, structural, and tribological properties under varying conditions 🧪🔬. Using cutting-edge techniques like high power impulse magnetron sputtering and high-throughput preparation methods, Dr. Lu aims to enhance coatings for demanding environments such as aviation lubricants ✈️. His research contributes to developing innovative materials that improve durability and reduce friction in mechanical systems, supporting industrial and aerospace engineering advancements

Conclusion

Dr. Xiaolong Lu’s focused research on high-entropy coatings, tribological optimization, and advanced deposition techniques marks him as a valuable contributor to applied surface engineering. His combination of practical expertise, high-impact publications, and innovative methodology makes him a strong and deserving candidate for the Best Researcher Award.

Publication Top Notes

  • Exploring atmospheric tribological properties of MoS2-(Cr, Nb, Ti, Al, V) composite coatings, Tribology International, 2021, cited by [–] 📅⚙️

  • Investigation of (CrAlTiNbV)Nx high-entropy nitride coatings for aviation lubricant, Applied Surface Science, 2021, cited by [–] 🧪✈️

  • Mechanical and tribological performance of (CrAlTiNbV)Nx nitride coatings in aviation lubricant, Ceramics International, 2021, cited by [–] 🏭🔧

  • Nanostructure, mechanical properties and tribological behavior of high-entropy carbonitrides coatings, Ceramics International, 2025, cited by [–] 🔬⚡

  • Effect of peak current on MoxN coatings microstructure and tribological behavior, Tribology International, 2023, cited by [–] ⚡🛠️

  • Characterization and wear role of (CrAlVTiNb)Nx high-entropy alloy nitride films, Journal of Alloys and Compounds, 2025, cited by [–] 🧱🔍

  • Comparative analysis of high-entropy nitrides and carbonitrides coatings over temperature range, Journal of Alloys and Compounds, 2025, cited by [–] 🌡️📊

Guglielmo Vaccaro | Engineering | Best Researcher Award

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Mr. Guglielmo Vaccaro | Engineering | Best Researcher Award

Mr. Guglielmo Vaccaro, Università degli studi di Firenze, Italy

Guglielmo Vaccaro (born June 18, 1997, in Florence) is a dedicated researcher in mechanical and energy engineering. He holds a Bachelor’s in Mechanical Engineering and a Master’s in Energy Engineering from the University of Florence, both achieved with honors. Currently pursuing a Ph.D. in Industrial Engineering, his research focuses on eco-friendly refrigeration systems and CO2-based mixtures. He has presented at multiple international conferences and published in peer-reviewed journals. Guglielmo has also collaborated with CNAM in Paris on chiller systems. He is proficient in several software tools, including Matlab and Python. Fluent in Italian and English. 🇮🇹🔬💡

 

Publication profile

Google Scholar

Education

Bachelor’s Degree in Mechanical Engineering from the University of Florence, graduated with honors (110/110 cum laude). His thesis focused on optimizing a convergent-divergent nozzle, showcasing his attention to detail in technical design.

Master’s Degree in Energy Engineering (Machines Track) from the University of Florence, also graduated with honors. His thesis was centered on the design of an ejector for recovering lamination losses in a CO2-based plant, which highlights his commitment to sustainable technologies.

Ph.D. in Industrial Engineering, currently ongoing at the University of Florence, focusing on eco-friendly refrigeration systems, particularly on developing refrigeration plants using eco-compatible mixtures, which underlines his dedication to cutting-edge research in environmental sustainability.

Research

Presented research at prominent conferences, such as the International Congress of Refrigeration, covering topics like CO2-based mixtures for refrigeration and ice storage systems.

Published articles in renowned journals, including the International Journal of Refrigeration, where he assessed the thermodynamic performance of trans-critical refrigeration systems utilizing CO2 mixtures. His work extends into sustainable energy communities and low-TEWI refrigerants, indicating his focus on advancing energy-efficient and environmentally safe solutions.

Conclusion

Guglielmo Vaccaro’s combination of academic excellence, innovative research on eco-compatible refrigeration systems, and international collaborations makes him a strong contender for the Best Researcher Award. His focus on environmental sustainability through advanced refrigeration technologies aligns with the goals of pushing the boundaries in energy efficiency and renewable energy systems.

 

Publication Top Notes

  • Thermodynamic assessment of trans-critical refrigeration systems utilizing CO2-based mixtures | Cited by: 23 | Year: 2023 🔬❄️
  • Heat pumps and thermal energy storages centralised management in a Renewable Energy Community | Cited by: 8 | Year: 2023 ♻️🌍
  • A proposal for a non-flammable, fluorine-free, CO2-based mixture as a low TEWI refrigerant | Cited by: 5 | Year: 2024 💧🔋
  • Working Fluid Selection for High-Temperature Heat Pumps: A Comprehensive Evaluation | Cited by: 3 | Year: 2024 🔥🔧
  • Optimal sizing of a distributed energy system with thermal load electrification | Cited by: 2 | Year: 2020 ⚡📏
  • Propylene and DME solubility in PAG oil: Experimental investigations and simplified modeling | Cited by: 1 | Year: 2024 📊🧪
  • Experimental investigations and modeling of Propylene and DME solubility in PAG oil | Cited by: 1 | Year: 2023 🔍📈
  • Numerical assessment of CO2-based mixtures for refrigeration systems: focus on the evaporation process  Year: 2023 🌬️💨
  • Development of a code for the evaluation of air sanitation efficiency of UV-C linear lamps in ventilation systems Year: 2022 💡🌬️
  • Thermodynamic analysis of a steam ejector chiller with ice storage  Year: 2022 ❄️🧊

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.

 

Sandeep Panwar Jogi | Engineering | Best Researcher Award

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Dr. Sandeep Panwar Jogi | Engineering | Best Researcher Award

Dr. Sandeep Panwar Jogi, Memorial Sloan Kettering Cancer Center, United States

Based on Dr. Sandeep Panwar Jogi’s impressive profile, he appears to be a strong candidate for the Research for Best Researcher Award.

Publication profile

Education and Experience

Dr. Jogi holds a Ph.D. in Biomedical Engineering with a focus on MRI-based assessments of knee joints. His educational background includes a B.Tech and M.Tech in Biomedical Engineering, demonstrating a solid foundation in the field. With over 10 years of experience, his career spans roles as a Research Scholar at Memorial Sloan Kettering Cancer Center, Assistant Professor at various institutions, and a Biomedical Engineer. This extensive background underscores his depth of knowledge and expertise in his field.

Research and Innovations

Dr. Jogi’s research includes developing novel MR imaging devices and AI-based algorithms. His patents and publications highlight significant contributions, such as an MR-safe loading device for knee joint assessment and AI-driven solutions for MR scanning efficiency and clinical information extraction. His work on MRI-compatible devices and AI in medical imaging demonstrates his commitment to advancing healthcare technology.

Publications 

  • Review on brain tumor detection using digital image processing – 12 citations, 2014 📊
  • Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis – 10 citations, 2021 📈
  • Device for Assessing Knee Joint Dynamics During Magnetic Resonance Imaging – 5 citations, 2021 🦵
  • A semi‐automatic framework based upon quantitative analysis of MR‐images for classification of femur cartilage into asymptomatic, early OA, and advanced‐OA groups – 3 citations, 2022 🦴
  • Modified radial-search algorithm for segmentation of tibiofemoral cartilage in MR images of patients with subchondral lesion – 3 citations, 2020 🩺
  • Explainability of Artificial Intelligence for Diagnosing COVID-19 from Chest X-Rays – 1 citation, 2021 🤖
  • Automated Segmentation of Knee Cartilage Using Modified Radial Approach for OA Patients with and without Bone Abnormality – 1 citation, 2019 📉
  • Automated seed points selection based radial-search segmentation method for sagittal and coronal view knee MRI imaging – 1 citation, 2017 🩻
  • Novel Spin-lock Time Sampling Strategies for Improved Reproducibility in Quantitative T1ρ Mapping – No citations yet, 2024 🧪
  • 4D Lung MRI with Isotropic Resolution on a 1.5T MR-Linac using a Self-Navigated 3D Radial Kooshball Acquisition and Sparse Motion Reconstruction – No citations yet, 2024 🌬️
  • Accelerated Abdominal 3D T1rho Mapping using Diamond Radial Sampling – No citations yet, 2024 📉
  • Quantitative 3D T1rho and T2 Mapping for Radiotherapy Treatment Response Monitoring in Head and Neck Cancer – No citations yet, 2024 🧠
  • Novel Sampling Schemes of Spin-locking Times to Improve Reproducibility of Quantitative 3D T1rho Mapping – No citations yet, 2024 🔍
  • Automatic Liver and Subcutaneous Fat Segmentation from MRI-PDFF Images – No citations yet, 2020 🏥
  • An approach to validate MRI Compatible axial Knee joint Loading Device with various standing posture in Standing MRI – No citations yet, 2019 🦵
  • Retrospective comparative study to assess the pitfalls of CartiGram and the complementary role of FSPD in the evaluation of cartilage lesions of the knee joint – No citations yet, 2019 🔬
  • Evaluating variability of T2 values of the cartilage, menisci and muscles around knee joint on CartiGram sequence at 1.5 T and 3.0 T MR – No citations yet, 2019 📉
  • Semi-Automatic Quantitative Analysis of Cartilage Thickness & T2 Values – No citations yet, 2018 📏
  • Quantitative MR Imaging of Articular Knee cartilage with Axial Loading during Image Acquisition – No citations yet, 2018 🦵
  • Automated Seed Points Selection Based Radial Search Segmentation Method for Sagittal and Coronal View Knee MRI Imaging – No citations yet, 2018 🖼️

Core Competencies

Dr. Jogi’s skills in medical image analysis, machine learning, and AI are well-aligned with the award’s criteria. His expertise in MRI, CT, X-ray modalities, and product development positions him as a leader in his field. His ability to interact with clinicians and develop novel imaging solutions showcases his practical and innovative approach to solving healthcare challenges.

Conclusion

Dr. Sandeep Panwar Jogi is a compelling candidate for the Research for Best Researcher Award. His blend of advanced education, extensive research experience, innovative contributions, and active involvement in the scientific community aligns well with the award’s objectives. His work not only advances medical imaging technologies but also demonstrates a profound impact on healthcare solutions.

 

Harish Selvam | Engineering | Best Researcher Award

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Dr. Harish Selvam | Engineering | Best Researcher Award

Post-doctoral researcher, Institute of Hydraulic Engineering and Water Resources Management, RWTH Aachen University, Germany

Harish Selvam is a Scientific Staff member at the Institute of Hydraulic Engineering and Water Resources Management (IWW) at RWTH Aachen University, Germany. With over 8 years of expertise in Hydraulics and Coastal Engineering, Harish’s research focuses on physical and numerical modeling, particularly in violent tsunami-structure interactions. His dual MS and PhD in Ocean Engineering were awarded with distinction from RWTH Aachen University and Indian Institute of Technology Madras. 🌊🏛️

Publication Profile

Strengths for the Award:

  1. Academic Excellence: Harish Selvam’s educational background is impressive, with a dual degree (MS & PhD) in Ocean Engineering from RWTH Aachen University and IIT Madras, completed with distinction. His B.E. in Civil Engineering also showcases strong academic performance.
  2. Research Contributions: His PhD thesis on violent tsunami-structure interaction is a significant contribution to the field of Hydraulics and Coastal Engineering. He has published numerous papers in high-impact journals such as Coastal Engineering, Water, Applied Ocean Research, and Ocean Engineering, indicating a strong research output.
  3. Awards and Recognitions: Harish has received prestigious awards, including the Prof. Vallam Sundar best PhD thesis in Ocean Engineering from IIT Madras and the ISH best PhD thesis award in Hydraulics, water resources, and coastal engineering.
  4. Professional Experience: With eight years of experience in Hydraulics and Coastal Engineering, Harish has held significant positions, including Junior Research Group Coastal Engineering Leader and Scientific Staff at RWTH Aachen University. His involvement in major projects and contributions to CFD software development demonstrate his applied research skills.
  5. Technical Skills: Proficiency in programming languages (MATLAB, C++, FORTRAN) and technical software (AutoCAD, Stadd Pro, FreeCAD, OpenFOAM, DualSPHysics, Ansys) highlights his capability in numerical and physical modeling.
  6. Supervision and Mentorship: Harish has supervised multiple Master’s and Bachelor’s theses, indicating his leadership and mentorship abilities. His guidance on projects related to tsunami-like wave impacts and hydraulic engineering showcases his expertise in guiding young researchers.
  7. International Exposure: Harish’s involvement in international projects and conferences, along with scholarships from DAAD and UGC, underscores his global perspective and collaboration.

Areas for Improvement:

  1. Language Proficiency: While Harish has basic proficiency in German (A2.1 level), improving his language skills could enhance his integration and communication within the international research community in Germany and beyond.
  2. Expanded Research Impact: While his research is strong, broadening the impact through more interdisciplinary collaborations and applications beyond tsunami-structure interaction could enhance his profile further.
  3. Industry Collaboration: Increasing collaborations with industry partners could translate his research findings into practical solutions and innovations, thereby enhancing the societal impact of his work.

Conclusion:

Harish Selvam is a highly suitable candidate for the Best Researcher Award. His robust academic background, significant research contributions, professional experience, and technical skills make him a standout researcher in the field of Hydraulics and Coastal Engineering. While there are areas for improvement, such as language proficiency and expanding the impact of his research, his overall profile is highly commendable and deserving of recognition.

 

Education

Harish completed his dual degree MS & PhD in Ocean Engineering from RWTH Aachen University and Indian Institute of Technology Madras in July 2023, graduating with a summa cum laude distinction and a 9.74 CGPA. He holds a B.E. in Civil Engineering from Rajalakshmi Engineering College, Chennai, with an 8.74 CGPA. He also achieved top grades in his Higher Secondary and Matriculation courses. 🎓📚

Experience

Currently, Harish serves as a Junior Research Group Coastal Engineering Leader at IWW, RWTH Aachen University. His previous roles include Scientific Staff at IWW since October 2021 and Project Associate at IIT Madras. He has worked extensively with OpenFOAM and other CFD software, and has been involved in notable projects like the “Impact of waterborne debris on near shore structures” and “Flood-induced building damages after 2021 German floods.” 🏗️🌍

Research Focus

Harish’s research primarily investigates tsunami-like flow interactions with coastal structures. His PhD thesis delves into tsunami-induced forces on shorefront structures, leveraging both physical experiments and numerical simulations to enhance understanding and design improvements in coastal engineering. His current work includes numerical simulations of tsunami impacts and flow interactions with various structural models. 🌪️🔬

Awards

Prof. Vallam Sundar Best PhD Thesis Award (2023), Indian Society of Hydraulics (ISH) Best PhD Thesis Award (2023), GATE Qualification (2016), University Rank Holder in B.E. among colleges affiliated with Anna University, Chennai. 🏆🎖️

Publications

  1. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2021). Tsunami-like flow induced force on the structure: Prediction formulae for the horizontal force in quasi-steady flow phase. Coastal Engineering, 168, 103938.
  2. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2022). Tsunami-like flow induced forces on the structure: Dependence of the hydrodynamic force coefficients on Froude number and flow channel width. Coastal Engineering, 172, 104078.
  3. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2022). Tsunami-like Flow-Induced Forces on the Landward Structure behind a Vertical Seawall with and without Recurve Using OpenFOAM. Water, 14(13), 1986.
  4. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2022). Flow-structure interference effects with the surrounding structure in the choked quasi-steady condition of tsunami: Comparison with traditional obstruction approach. Applied Ocean Research, 126, 103255.
  5. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2024). Tsunami-like flow induced forces on the building with openings and orientation in the quasi-steady flow phase. Ocean Engineering, 301, 117337.

 

Mohammadali Hadianfard | Engineering | Best Researcher Award

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Prof Dr Mohammadali Hadianfard |  Engineering |  Best Researcher Award

Professor at  Shiraz University of Technology, Iran

Mohammad Ali Hadianfard is a Professor of Structural and Earthquake Engineering at Shiraz University of Technology, Iran. He holds a Ph.D., M.Sc., and B.Sc. in Civil Engineering from Shiraz University. His research focuses on Earthquake Engineering, seismic design of structures, structural reliability, steel connections, structural health monitoring, and concrete technology with nondestructive testing. Hadianfard has extensive teaching experience and has supervised numerous M.Sc. and Ph.D. dissertations. He has also held significant leadership roles within academic and professional organizations in Iran

Profile

Education:

  • Ph.D. in Civil Engineering (Structure), Shiraz University, Iran, 2002
  • M.Sc. in Civil Engineering (Structure), Shiraz University, Iran, 1996
  • B.Sc. in Civil Engineering, Shiraz University, Iran, 1992

Teaching Experience:

  • Teaching Civil Engineering Students (B.Sc.), Azad University of Estahban, Estahban, Iran (1994-2004)
  • Teaching Civil Engineering Students (B.Sc.), Yasouj University, Yasouj, Iran (2003-2007)
  • Graduate Teaching for Civil Engineering Students (M.Sc. and Ph.D.), Shiraz University of Technology, Iran (2007-present)

Relevant Experiences and Activities:

  • Director, Department of Civil and Environmental Engineering, Shiraz University of Technology (2008-2012, 2018-2021)
  • Manager, Building Construction Office, Shiraz University of Technology (2010-2014)
  • Member, Board of Directors, Iranian Construction Engineering Organization, Province of Fars (multiple periods)
  • Member, Management Committee, Civil Engineering Specialty Group, Iranian Construction Engineering Organization, Province of Fars (multiple periods)
  • Awarded Top Researcher titles in 2006, 2011, 2013, 2016, and 2017

Research Focus Engineering :

Professor Mohammad Ali Hadianfard, a distinguished figure in the field of Structural and Earthquake Engineering at Shiraz University of Technology, Iran, specializes in a broad spectrum of research areas. His work primarily revolves around Earthquake Engineering, encompassing seismic design, vulnerability assessment, and rehabilitation strategies for structures and historical buildings. He is renowned for his contributions to structural reliability, failure analysis, and the study of progressive collapse mechanisms. Dr. Hadianfard also explores advanced topics such as steel and semi-rigid connections, employing computer simulations and conducting nonlinear dynamic analyses to enhance structural performance. His expertise extends to structural health monitoring, utilizing ambient vibration and microtremor measurements, alongside innovative approaches in concrete technology and nondestructive testing. Through extensive teaching and supervisory roles, he continues to shape the future of civil engineering education and research.

Citations:

  • Citations: 593
  • Documents: 481
  • h-index: 13

Publications 📄

  • A Novel Probabilistic Structural Damage Detection Approach Considering Uncertainty Sources
    • Authors: Jahangiri, M., Hadianfard, M.A., Najafgholipour, M.A., Hatami, S.
    • Journal: Iranian Journal of Science and Technology – Transactions of Civil Engineering, 2023, 47(5), pp. 2605–2623
    • Citations: 2
  • Spectral optimization-based modal identification: A novel operational modal analysis technique
    • Authors: Kamali, S., Ali Hadianfard, M.
    • Journal: Mechanical Systems and Signal Processing, 2023, 198, 110445
    • Citations: 4
  • A procedure to estimate the Minimum Observable Damage in truss structures using vibration-based Structural Health Monitoring systems
    • Authors: Jahangiri, M., Palermo, A., Kamali, S., Hadianfard, M.A., Marzani, A.
    • Journal: Probabilistic Engineering Mechanics, 2023, 73, 103451
    • Citations: 6
  • Probabilistic Evaluation of Steel Column Damage under Blast Loading via Simulation Reliability Methods and Gene Expression Programming
    • Authors: Momeni, M., Bedon, C., Hadianfard, M.A.
    • Journal: Engineering Proceedings, 2023, 53(1), 20
    • Citations: 0
  • Vibration-Based Structural Damage Detection Using the Interactive Autodidactic School Optimization Algorithm Based on an Energy-Dissipation Method
    • Authors: Jahangiri, M., Hadianfard, M.A., Najafgholipour, M.A., Jahangiri, M.
    • Journal: International Journal of Structural Stability and Dynamics, 2022, 22(16), 2250192
    • Citations: 12
  • The effects of non-structural components on the dynamic characteristics and vulnerability of concrete structures using ambient vibration tests and Nakamura’s criterion
    • Authors: Hadianfard, M.A., Jahangiri, M., Shojaei, S.
    • Journal: Soil Dynamics and Earthquake Engineering, 2022, 162, 107492
    • Citations: 4