Dr. Syed Quadir Moinuddin

@kfu.edu.sa

Assistant Professor and Department of Mechanical Engineering
King Faisal University

Dr. Syed Quadir Moinuddin


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https://researchid.co/syedquadir

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Industrial and Manufacturing Engineering, Materials Science, Metals and Alloys
47

Scopus Publications

517

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Small punch testing and scanning electron microscopy analysis of damage evolution in dual-phase steel
    Asim Alsharif, Syed Quadir Moinuddin, Christophe Pinna
    Scientific Reports, 2026
    Dual-phase (DP) steels are widely used in the automotive industry due to their excellent balance of strength and ductility. Enhancing their formability and crash performance requires a deeper understanding of microstructural deformation and damage mechanisms. This study presents an in-depth micromechanical investigation of damage initiation and propagation in DP1000 steel using a novel small-punch (SP) test setup combined with three-dimensional digital image correlation (3D DIC) and scanning electron microscopy (SEM). The test was strategically interrupted at multiple stages to capture the evolution of cracking. Initial cracks appeared at a punch displacement of approximately 1.12 mm, while the final stages revealed microstructural crack propagation resulting from deformation localized near the ferrite (F) – martensite (M) interface, leading to cracking of adjacent M islands or void growth within the F. 3D DIC measurements revealed maximum principal surface strains up to 23% before cracking. SEM analysis confirmed that the dominant through-thickness crack initiated at the punch sample interface and propagated toward the upper surface, aligning with surface strain localizations. M cracking was limited to the early stages, while subsequent damage growth was F-dominated. This integrated experimental approach offers new insights into the phase-specific damage behaviour and supports the development of predictive models for the formability and failure of advanced high-strength steels.
  • Tea tree oil infused Pluronic copolymer/Xanthan scaffolds: Biomarkers profiling and bactericidal impact in simulated wound healing environments
    Muhammad Haseeb Nawaz, Chaudhry Hassan Rawaiz, Muhammad Iftikhar Faraz, Syed Quadir Moinuddin, Akbar Niaz, Muhammad Atiq Ur Rehman
    International Journal of Biological Macromolecules, 2026
  • AZ91 Magnesium–alumina composites drilling with sustainable coolants: Surface roughness and axial thrust force using neural-guided genetic algorithms
    Syed Quadir Moinuddin, P. Hariharasakthisudhan, K. Logesh, K. Sathickbasha, Mohammad Faseeulla Khan, Hussain Altammar
    Journal of Materials Research and Technology, 2026
    AZ91 Magnesium (Mg) alloy reinforced with Alumina (Al 2 O 3 ) foam has attracted attention for lightweight structural and biomedical applications due to its high specific strength and corrosion adaptability. However, the drilling behavior of Mg systems containing porous ceramic reinforcements remains insufficiently characterized, particularly under sustainable cooling environments. The present study investigates axial thrust force and surface roughness during drilling of AZ91–Al 2 O 3 foam composites using a Taguchi L18 experimental design under vegetable oil, coconut oil, and liquid nitrogen cooling conditions. Experimental results indicate that axial thrust force varied from 104.3 N to 249 N across the investigated parameter space, while surface roughness ranged from 1.3 μm to 2.7 μm. Lower feed rates (0.2 mm/rev) and higher cutting speeds (≈180 m/min) were observed to reduce thrust force and improve surface integrity. A feed-forward artificial neural network (ANN) model achieved coefficients of determination of 0.98 for thrust force and 0.97 for surface roughness prediction, indicating strong nonlinear mapping capability within the defined experimental window. Multi-objective optimization using Non-dominated Sorting Genetic Algorithm (NSGA-II) identified an optimal parameter combination of 180 m/min cutting speed, 0.2 mm/rev feed rate, high-speed steel tool, and coconut oil coolant. Confirmation testing yielded 109.2 N axial thrust force and 1.28 μm surface roughness, with deviations of 3.2% and 1.7%, respectively, from predicted values. The proposed ANN–NSGA-II framework establishes a quantified and interpretable optimization strategy for sustainable drilling of reinforced Mg composites, enabling balanced reduction of mechanical load and surface irregularity under bio-lubricated conditions.
  • Tribological behavior of Sr and Yb modified AZ91 magnesium alloy using machine learning prediction and multi-objective optimization for biomedical applications
    Syed Quadir Moinuddin, Hariharasakthisudhan Ponnarengan, Jitendra Kumar Katiyar, Sathickbasha K, Mohammad Faseeulla Khan, Akbar Niaz
    Journal of Materials Research and Technology, 2026
    Magnesium (Mg) alloys are attractive biodegradable implant materials, but inadequate wear resistance and tribological instability in physiological environments remain major limitations. To address this challenge, this study investigates the effect of dual Sr–Yb modification on the tribological performance and surface stability of AZ91 Mg alloy. Specifically, the wear, friction, and surface degradation behavior of the Sr–Yb–modified AZ91 alloy were evaluated under simulated physiological conditions representative of implant-relevant biomechanical and biochemical environments. The alloy was synthesized via ultrasonic-assisted stir casting to ensure homogeneous dispersion and grain refinement. A D-optimal experimental design involving six factors, normal load (N), sliding speed (m/s), sliding distance (m), simulated body fluid (SBF), soaking time (hrs), and temperature (°C), was employed to evaluate the tribological response systematically. A stacked ensemble learning model was developed to predict specific wear rate (SWR), average coefficient of friction (COF), and surface roughness (R a ), achieving high R 2 values (>0.89). Multi-objective optimization using a surrogate-assisted Tree-Seed Algorithm (MOTSA) identified near-optimal process conditions yielding SWR ≈ 0.11991 mm 3 /N-m, COF ≈ 0.344, and Ra ≈0.185 μm. Experimental validation showed deviations within 5% of predicted values. Time-resolved COF analysis revealed transitional friction behavior, while post-wear profilometry and field emission scanning electron microscope (FESEM) imaging identified hybrid wear mechanisms, including delamination, oxidative smearing, and debris-induced microcracking. The integrated experimental-modeling framework demonstrates the potential of Sr and Yb-modified AZ91 alloy as a bio-tribological material, offering high wear resistance, stable frictional performance, and structural integrity under simulated body conditions.
  • NSGA-II-Based Multi-Objective Optimization of Fused Filament Fabrication Process Parameters for TPU Parts with Chemical Smoothing
    Lokeshwaran Srinivasan, Lalitha Radhakrishnan, Ezhilmaran Veeranan, Faseeulla Khan Mohammad, Syed Quadir Moinuddin, Hussain Altammar
    Polymers, 2026
    In this study, thermoplastic polyurethane (TPU) parts were fabricated using fused filament fabrication (FFF) by varying key process parameters, namely extruder temperature (210–230 °C), layer thickness (200–400 µm), and printing speed (30–50 mm/s). A Box–Behnken experimental design was used to systematically evaluate the combined influence of these parameters on surface roughness (Ra), dimensional deviation (DD), and ultimate tensile strength (UTS). After fabrication, all specimens were subjected to a Tetrahydrofuran (THF)-based chemical smoothing process to modify surface characteristics. Surface roughness measurements showed a substantial reduction after chemical smoothing, with values decreasing from an initial range of 13.17 ± 0.21–15.87 ± 0.23 µm to 4.01 ± 0.18–7.35 ± 0.16 µm, corresponding to an average decrease of approximately 50–72%. Dimensional deviation improved moderately, from 260–420 µm in the as-printed condition to 160–310 µm after post-processing, representing a reduction of about 20–38%. Mechanical testing revealed a consistent increase in UTS following chemical smoothing, with values improving from 30.24–40.30 ± 0.52 MPa to 33.97–47.94 ± 0.36 MPa, yielding an average increase of approximately 10–24%. Then, the experimental data were used for multi-objective optimization of the FFF process parameters, using a non-dominated sorting genetic algorithm (NSGA-II) implemented in Python 3.11, to identify best parameter combinations that provide a balanced surface quality, dimensional accuracy, and mechanical performance.
  • Effect of alkali treatment duration on the structure and properties of Elettaria cardamomum cellulosic fiber
    Md. Javeed Ahmed, Pervaz Ahmed M, Sathickbasha K, Syed Quadir Moinuddin, K. Arunprasath, P. Senthamaraikannan, Siva Avudaiappan
    International Journal of Biological Macromolecules, 2026
  • State estimator and convolutional neural networks-based fault localization approach for modern grids
    Jameel Ahmed Bhutto, Sohaib Tahir Chauhdary, Saad Arif, Akbar Niaz, Khaled Alnamasi, Syed Quadir Moinuddin, Shrooq Alsenan, Muhammad Attique Khan
    Scientific Reports, 2026
    Direct current distribution networks get more attention due to the high penetration of renewable energy-based distributed generation. However, these networks face protection challenges like detecting, classifying, and localizing faults. This manuscript proposes a two-stage approach for identifying and isolating faults within these critical networks. The first stage uses a cubature Kalman filter to estimate the state of the measured current and voltage signals at the faulty bus. These estimated signals represent various fault scenarios and serve as convolutional neural network training data. Then, a total harmonic distortion index was computed from the estimated fault current for fault detection. Moreover, the direction of this reactive power is then utilized to classify the fault type and locate faulty sections in these networks. Extensive simulations demonstrate that the proposed scheme achieves fault detection under five milliseconds, exhibits 98% accuracy, and requires reasonable computational resources.
  • Gas Metal Arc Welding: Metal Joining and Additive Manufacturing
    Syed Quadir Moinuddin, Murali Mohan Cheepu, Venkata Charan Kantumuchu
    Gas Metal Arc Welding Metal Joining and Additive Manufacturing, 2026
    This book addresses the fundamental technologies and advancements in gas metal arc welding (GMAW) in metal joining and additive manufacturing. It delivers in-depth knowledge on various aspects of GMAW processes, including principles and mechanisms, metal transfer modes, process variations, monitoring and control, automation and flexibility of power sources, joining of similar and dissimilar materials, additive manufacturing, and metallurgical aspects. The book concludes with challenges and opportunities that would lead toward future directions in the GMAW process. Provides an overview of the additive manufacturing process and its capability to produce additively manufactured metallic components.                                                                                                            Describes the power source and its connectivity with robots to produce complex structures.            Discusses fundamental principles of the gas metal arc welding process.                                              Explores experimental and theoretical aspects of the processes.                                                    Includes the most recent applications and real-time case studies along with relevant illustrations.          This book is aimed at graduate students and researchers in metallurgical engineering, additive manufacturing, and welding technology.
  • A Review on Microstructure and Magnetic Property Control in Additively Manufactured Magnetic Materials
    Syed Quadir Moinuddin, Md Saad Patel, Suresh Goka, Mohammad Faseeulla Khan, Skander Jribi, Asim Alsharif
    Advanced Engineering Materials, 2026
    Additive manufacturing (AM) is revolutionizing the production of magnetic materials by enabling the fabrication of components with complex geometries and tailored functionalities that are challenging to achieve with conventional methods. AM enables precise control over microstructure, defect distribution, and material orientation, which directly affects mechanical and magnetic properties. Magnetic alloys and composites, including Fe–X (X = Si, Ni, and Co), NdFeB, and SmCo, are vital for transformers, electric machines, aircraft components, and electric vehicle magnets, necessitating low coercivity, high permeability, and regulated electrical resistivity. Recent advancements in AM have concentrated on refining processing settings, designing feedstock, and improving post‐processing procedures to enhance structural integrity and functional characteristics. This review primarily focuses on direct metal AM techniques, with emphasis on Fe‐based soft magnetic alloys and selected permanent magnet systems, particularly in electrical and electromagnetic applications. In addition to highlighting the ability of AM to alter the manufacturing of magnetic components while simultaneously addressing existing limitations, emerging trends, and potential research areas are also emphasized.
  • Surface investigation on cavitation-erosion resistance of WC-10Co-4Cr and La2O3 doped coatings on SS410 through HP-HVOF technique
    Vikrant Singh, N. Jeyaprakash, Mohit Vishnoi, Syed Quadir Moinuddin, Vijay Kumar, Anuj Bansal
    Welding in the World, 2026
  • In-Situ microstructure characterization and micromechanical modelling of damage initiation and propagation in DP1000 dual phase steel
    Asim Alsharif, Syed Quadir Moinuddin, R. Dowding, C. Pinna
    Materials and Design, 2025
  • Strength–Ductility Synergy in Biodegradable Mg-Rare Earth Alloy Processed via Multi-Directional Forging
    Faseeulla Khan Mohammad, Uzwalkiran Rokkala, Sohail M. A. K. Mohammed, Hussain Altammar, Syed Quadir Moinuddin, Raffi Mohammed
    Journal of Functional Biomaterials, 2025
  • Experimentation of Al7075 composite material using magnetic abrasive finishing process
    Leeladhar Nagdeve, Binayak Sahoo, Harish Kumar, Syed Quadir Moinuddin
    Materials and Manufacturing Processes, 2025
  • Fundamental review on gas tungsten arc welding of magnesium alloys: challenges, innovations, and future perspectives
    Gaurav Singh, Ashok Kumar Dewangan, Mohammad Faseeulla Khan, Syed Quadir Moinuddin
    Welding in the World, 2025
  • Experimental investigation of performance, emission, and combustion characteristics of a CI engine operating on blends of waste cooking oil biodiesel/diesel under variable compression ratios condition
    Md. Nasar Equbal, Ashok Kumar Dewangan, Syed Quadir Moinuddin, Ashok Kumar Yadav, Aqueel Ahmad
    Environmental Progress and Sustainable Energy, 2025
  • Research progress in underwater welding: techniques, materials, advancements, and challenges
    Syed Quadir Moinuddin, Avanthika Chamarthi, Mohammad Faseeulla Khan, Akbar Niaz, Saad Arif, Muralimohan Cheepu, Ashok Kumar Dewangan, Suresh Goka
    Welding in the World, 2025
  • Influence of Cold Metal Transfer Parameters on Weld Bead Geometry, Mechanical Properties, and Corrosion Performance of Dissimilar Aluminium Alloys
    Balram Yelamasetti, Mohammed Zubairuddin, Sri Phani Sushma I, Mohammad Faseeulla Khan, Syed Quadir Moinuddin, Hussain Altammar
    Crystals, 2025
  • Development and performance evaluation of La2O3 doped WC-10Co-4Cr coatings for enhanced biofouling and slurry abrasion resistance
    Vikrant Singh, Mohit Vishnoi, N. Jeyaprakash, Syed Quadir Moinuddin, Anindita De, Anuj Bansal
    Journal of Materials Research and Technology, 2025
  • Evaluation of recycling strategies for SS316L powder in laser powder bed fusion: impacts on mechanical properties and fatigue performance
    Yusuf Olanrewaju Busari, Ajibike Joan Farounbi, Surajudeen Sikiru, Sarah Nadiah Mohd Ghazali, Yupiter HP Manurung, Syed Quadir Moinuddin, Yusuf Lanre Shuaib-Babata, Kabir Suleiman Ajao, Mohd Halim Irwan Ibrahim, Martin Leitner
    International Journal of Advanced Manufacturing Technology, 2025
  • Effect of post-heat treatment cooling strategies on Si morphology and nano-mechanical behavior of additively manufactured AlSi10Mg alloy
    N. Jeyaprakash, Syed Quadir Moinuddin, Khaled Alnamasi, Asim Alsharif
    Journal of Materials Research and Technology, 2025
  • Advances in hydrogen-enriched biogas/biodiesel combustion for near-zero emissions in direct injection engines
    Md. Nasar Equbal, Ashok Kumar Dewangan, Syed Quadir Moinuddin, Aqueel Ahmad, Ashok Kumar Yadav
    International Journal of Thermofluids, 2025
  • Synergistic Effects of Thermal Cycles and Residual Stress on Microstructural Evolution and Mechanical Properties in Monel 400 and AISI 316L Weld Joints
    Balram Yelamasetti, Sri Phani Sushma, Zubairuddin Mohammed, Hussain Altammar, Mohammad Faseeulla Khan, Syed Quadir Moinuddin
    Metals, 2025
  • Effect of Post-Weld Heat Treatment Cooling Strategies on Microstructure and Mechanical Properties of 0.3 C-Cr-Mo-V Steel Weld Joints Using GTAW Process
    Syed Quadir Moinuddin, Mohammad Faseeulla Khan, Khaled Alnamasi, Skander Jribi, K. Radhakrishnan, Syed Shaul Hameed, V. Muralidharan, Muralimohan Cheepu
    Metals, 2025
  • Effect of tool pin profiles on defects formation during friction stir welding of AA 6082-T6 straight-pipes-butt-weld joints
    Jitendra Yadav, Namrata Gangil, Arshad Noor Siddiquee, Mohammed E. Ali Mohsin, Khaled Alnamasi, Syed Quadir Moinuddin, Mohammad Faseeulla Khan, Sachin Maheshwari
    Journal of Materials Research and Technology, 2025
  • Metaverse in Agricultural Training and Simulation
    Syed Quadir Moinuddin, Himam Saheb Shaik, Md Atiqur Rahman, Borigorla Venu
    Optimizing AI Applications for Sustainable Agriculture, 2025
  • Optimizing process parameters and a comparative study of post-weld heat treatments on the microstructure and mechanical properties of 0.3%C-Cr-Mo-V steel
    K. Radhakrishnan, Syed Shaul Hameed, V. Muralidharan, Syed Quadir Moinuddin
    International Journal on Interactive Design and Manufacturing, 2025
  • Motion control of soft robotic arm through servo motors
    M. Avinash, M. L. Pavan Kishore, Syed Quadir Moinuddin, Tharakeshwar Appala, Shaik Himam Saheb
    Soft Robotics for Medical and Healthcare Applications, 2025
  • Research progress on efficient battery thermal management system (BTMs) for electric vehicles using composite phase change materials with liquid cooling and nanoadditives
    Madhu Jhariya, Ashok Kumar Dewangan, Syed Quadir Moinuddin, Sunil Kumar, Aqueel Ahmad, Ashok Kumar Yadav
    Journal of Thermal Analysis and Calorimetry, 2024
  • Preface
    Automation in the Welding Industry Incorporating Artificial Intelligence Machine Learning and Other Technologies, 2024
  • Introduction to Industry 5.0
    Automation in the Welding Industry Incorporating Artificial Intelligence Machine Learning and Other Technologies, 2024
  • Quality Assurance and Control in Welding and Additive Manufacturing
    Automation in the Welding Industry Incorporating Artificial Intelligence Machine Learning and Other Technologies, 2024
  • Welding Practices in Industry 5.0: Opportunities, Challenges, and Applications
    Automation in the Welding Industry Incorporating Artificial Intelligence Machine Learning and Other Technologies, 2024
  • Welding-Based 3D, 4D, 5D Printing
    Automation in the Welding Industry Incorporating Artificial Intelligence Machine Learning and Other Technologies, 2024
  • Automation in the Welding Industry: Incorporating Artificial Intelligence, Machine Learning and Other Technologies
    Automation in the Welding Industry Incorporating Artificial Intelligence Machine Learning and Other Technologies, 2024
  • AI and ML in Welding Technologies
    Automation in the Welding Industry Incorporating Artificial Intelligence Machine Learning and Other Technologies, 2024
  • Battery management system for electric vehicles
    Suresh Goka, Syed Quadir Moinuddin, Ashok Kumar Dewangan, Muralimohan Cheepu, Venkata Charan Kantumuchu
    Future of Road Transportation Electrification and Automation, 2023
  • Augmented reality in computer-aided design (CAD)
    Suresh Goka, Syed Quadir Moinuddin, Ashok Kumar Dewangan, Shaik Himam Saheb, Barla Madhavi
    Metaverse and Immersive Technologies an Introduction to Industrial Business and Social Applications, 2023
  • Thermal energy storage opportunities, challenges and future scope
    Ashok K. Dewangan, Syed Quadir Moinuddin, Muralimohan Cheepu, Sanjeev K. Sajjan, Ashwani Kumar
    Thermal Energy Systems Design Computational Techniques and Applications, 2023
  • Analysis on Bonding Interface during Solid State Additive Manufacturing between 18Cr-8Ni and 42CrMo4 High Performance Alloys
    Syed Quadir Moinuddin, Venkata Varalakshmi Machireddy, Vadla Raghavender, Tejonadha Babu Kaniganti, Venukumar Sarila, Shankar Madhuraveli Ponnappan, Ragavanantham Shanmugam, Muralimohan Cheepu
    Metals, 2023
  • Characterization of Microstructural Anisotropy in 17–4 PH Stainless Steel Fabricated by DMLS Additive Manufacturing and Laser Shot Peening
    Venu Kumar Sarila, Syed Quadir Moinuddin, Muralimohan Cheepu, Hamshini Rajendran, Venkata Charan Kantumuchu
    Transactions of the Indian Institute of Metals, 2023
  • Direct Trust in Cloud Computing Based on Fuzzy Logic
    Waleed T. Al-Sit, Karamath Ateeq, Syed Quadir Moinuddin, Shoukat Aslam, Abdur Rehman, Tayba Asgher, Ossma Ali Thawabeh
    International Conference on Cyber Resilience Iccr 2022, 2022
  • Direct metal laser sintering process
    Advances in Additive Manufacturing Processes, 2021
  • Discrete wavelet analysis of mutually interfering co-existing welding signals in twin-wire robotic welding
    Manish Kumar, Syed Quadir Moinuddin, S. Surya Kumar, Abhay Sharma
    Journal of Manufacturing Processes, 2021
  • Digitization of welding processes
    Angshuman Kapil, S.Q. Moinuddin, Abhay Sharma
    Joining Processes for Dissimilar and Advanced Materials, 2021
  • A study on weld defects classification in gas metal arc welding process using machine learning techniques
    Syed Quadir Moinuddin, Syed Shaul Hameed, Ashok Kumar Dewangan, K. Ramesh Kumar, A. Shanta Kumari
    Materials Today Proceedings, 2020
  • On process-structure-property interconnection in anti-phase synchronised twin-wire GMAW of low carbon steel
    S. Q. Moinuddin, A. Kapil, K. Kohama, A. Sharma, K. Ito, M. Tanaka
    Science and Technology of Welding and Joining, 2016
  • Arc stability and its impact on weld properties and microstructure in anti-phase synchronised synergic-pulsed twin-wire gas metal arc welding
    Syed Quadir Moinuddin, Abhay Sharma
    Materials and Design, 2015

RECENT SCHOLAR PUBLICATIONS

  • Tea tree oil infused Pluronic copolymer/Xanthan scaffolds: Biomarkers profiling and bactericidal impact in simulated wound healing environments
    MH Nawaz, CH Rawaiz, MI Faraz, SQ Moinuddin, A Niaz, MAU Rehman
    International Journal of Biological Macromolecules, 152607 , 2026
    2026
  • A harmonized multi-software integrated workflow with targeted cross-validation for techno-economic optimization of hybrid renewable microgrids in rural Uganda
    M Bakare, H Khan, O Khan, S Moinuddin, S Jribi, E Abdalla, P Bajaj, ...
    Environmental Sciences Europe , 2026
    2026
  • A Review on Microstructure and Magnetic Property Control in Additively Manufactured Magnetic Materials
    SQ Moinuddin, MS Patel, S Goka, MF Khan, S Jribi, A Alsharif
    Advanced Engineering Materials, e202502792 , 2026
    2026
  • AZ91 Magnesium–Alumina Composites Drilling with Sustainable Coolants: Surface Roughness and Axial Thrust Force Using Neural-Guided Genetic Algorithms
    SQ Moinuddin, P Hariharasakthisudhan, K Logesh, K Sathickbasha, ...
    Journal of Materials Research and Technology , 2026
    2026
  • Baseline-Free Impact Localization in Plate Structures Using a Combined SA-GA Optimization Framework
    H Altammar, MF Khan, SQ Moinuddin, S Arif, F Selimefendigil
    International Journal of Acoustics and Vibration 31 (1), 131-144 , 2026
    2026
    Citations: 1
  • Tribological behavior of Sr and Yb modified AZ91 magnesium alloy using machine learning prediction and multi-objective optimization for biomedical applications
    Syed Quadir Moinuddin, Hariharasakthisudhan Ponnarengan, Jitendra Kumar ...
    Journal of Materials Research and Technology 41, 5526-5553 , 2026
    2026
    Citations: 1
  • Small punch testing and scanning electron microscopy analysis of damage evolution in dual-phase steel
    A Alsharif, SQ Moinuddin, C Pinna
    Scientific Reports , 2026
    2026
    Citations: 1
  • NSGA-II-Based Multi-Objective Optimization of Fused Filament Fabrication Process Parameters for TPU Parts with Chemical Smoothing
    L Srinivasan, L Radhakrishnan, E Veeranan, FK Mohammad, ...
    Polymers 18 (3), 391 , 2026
    2026
    Citations: 2
  • Effect of alkali treatment duration on the structure and properties of Elettaria cardamomum cellulosic fiber
    MJ Ahmed, MP Ahmed, KS Basha, SQ Moinuddin, K Arunprasath, ...
    International Journal of Biological Macromolecules, 150483 , 2026
    2026
  • Surface investigation on cavitation-erosion resistance of WC-10Co-4Cr and La 2 O 3 doped coatings on SS410 through HP-HVOF technique
    V Singh, N Jeyaprakash, M Vishnoi, SQ Moinuddin, V Kumar, A Bansal
    Welding in the World, 1-21 , 2026
    2026
  • State estimator and convolutional neural networks-based fault localization approach for modern grids
    JA Bhutto, ST Chauhdary, S Arif, A Niaz, K Alnamasi, SQ Moinuddin, ...
    Scientific Reports , 2026
    2026
    Citations: 1
  • State-of-the-Art Review on Fatigue Resistance of Lightweight Alloys Through Advanced Manufacturing Techniques
    N Gangil, AN Siddiquee, FK Mohammad, MEA Mohsin, SQ Moinuddin, ...
    Engineering Advanced Materials for Manufacturing, Energy, and Smart Systems … , 2026
    2026
  • Gas Metal Arc Welding: Metal Joining and Additive Manufacturing
    SQ Moinuddin, MM Cheepu, VC Kantumuchu
    CRC Press , 2026
    2026
  • Microstructural evolution and globularization in additively manufactured Ti-6Al-4V via cyclic heat treatment
    M Khorshidi, A Heidarzadeh, FK Mohammad, QM Syed
    Journal of Adhesion Science and Technology, 1-16 , 2025
    2025
  • Metaverse in Agricultural Training and Simulation
    SQ Moinuddin, HS Shaik, MA Rahman, B Venu
    Optimizing AI Applications for Sustainable Agriculture, 471-491 , 2025
    2025
  • Strength–Ductility Synergy in Biodegradable Mg-Rare Earth Alloy Processed via Multi-Directional Forging
    FK Mohammad, U Rokkala, SMAK Mohammed, H Altammar, ...
    Journal of Functional Biomaterials 16 (10), 391 , 2025
    2025
    Citations: 5
  • In-Situ microstructure characterization and micromechanical modelling of damage initiation and propagation in DP1000 dual phase steel
    A Alsharif, SQ Moinuddin, R Dowding, C Pinna
    Materials & Design, 114684 , 2025
    2025
    Citations: 3
  • Research progress in underwater welding: techniques, materials, advancements, and challenges
    SQ Moinuddin, A Chamarthi, MF Khan, A Niaz, S Arif, M Cheepu, ...
    Welding in the World 69 (9), 2805-2825 , 2025
    2025
    Citations: 8
  • Fundamental review on gas tungsten arc welding of magnesium alloys: challenges, innovations, and future perspectives
    G Singh, AK Dewangan, MF Khan, SQ Moinuddin
    Welding in the World 69 (9), 2767-2787 , 2025
    2025
    Citations: 9
  • Influence of Cold Metal Transfer Parameters on Weld Bead Geometry, Mechanical Properties, and Corrosion Performance of Dissimilar Aluminium Alloys
    B Yelamasetti, M Zubairuddin, SP Sushma I, MF Khan, SQ Moinuddin, ...
    Crystals 15 (8), 722 , 2025
    2025
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Arc stability and its impact on weld properties and microstructure in anti-phase synchronised synergic-pulsed twin-wire gas metal arc welding
    SQ Moinuddin, A Sharma
    Materials & Design 67, 293-302 , 2015
    2015
    Citations: 83
  • A study on weld defects classification in gas metal arc welding process using machine learning techniques
    SQ Moinuddin, SS Hameed, AK Dewangan, KR Kumar, AS Kumari
    Materials Today: Proceedings 43, 623-628 , 2021
    2021
    Citations: 66
  • Thermal energy storage: Opportunities, challenges and future scope
    AK Dewangan, SQ Moinuddin, M Cheepu, SK Sajjan, A Kumar
    Thermal Energy Systems, 17-28 , 2023
    2023
    Citations: 51
  • On process–structure–property interconnection in anti-phase synchronised twin-wire GMAW of low carbon steel
    SQ Moinuddin, A Kapil, K Kohama, A Sharma, K Ito, M Tanaka
    Science and Technology of Welding and Joining 21 (6), 452-459 , 2016
    2016
    Citations: 37
  • Characterization of microstructural anisotropy in 17–4 PH stainless steel fabricated by DMLS additive manufacturing and laser shot peening
    VK Sarila, SQ Moinuddin, M Cheepu, H Rajendran, VC Kantumuchu
    Transactions of the Indian Institute of Metals 76 (2), 403-410 , 2023
    2023
    Citations: 36
  • Research progress on efficient battery thermal management system (BTMs) for electric vehicles using composite phase change materials with liquid cooling and nanoadditives
    M Jhariya, AK Dewangan, SQ Moinuddin, S Kumar, A Ahmad, AK Yadav
    Journal of Thermal Analysis and Calorimetry 149 (23), 13653-13680 , 2024
    2024
    Citations: 35
  • Discrete wavelet analysis of mutually interfering co-existing welding signals in twin-wire robotic welding
    M Kumar, SQ Moinuddin, SS Kumar, A Sharma
    Journal of Manufacturing Processes 63, 139-151 , 2021
    2021
    Citations: 30
  • Analysis on bonding interface during solid state additive manufacturing between 18Cr-8Ni and 42crmo4 high performance alloys
    SQ Moinuddin, VV Machireddy, V Raghavender, TB Kaniganti, V Sarila, ...
    Metals 13 (3), 488 , 2023
    2023
    Citations: 22
  • Automation in the welding industry: incorporating artificial intelligence, machine learning and other technologies
    SQ Moinuddin, SH Saheb, AK Dewangan, MM Cheepu, S Balamurugan
    John Wiley & Sons , 2024
    2024
    Citations: 15
  • Melting efficiency in anti-phase synchronized twin-wire gas metal arc welding
    SQ Moinuddin, A Sharma
    Proceedings of the 10th International Conference on Trends in Welding … , 2016
    2016
    Citations: 10
  • Fundamental review on gas tungsten arc welding of magnesium alloys: challenges, innovations, and future perspectives
    G Singh, AK Dewangan, MF Khan, SQ Moinuddin
    Welding in the World 69 (9), 2767-2787 , 2025
    2025
    Citations: 9
  • Research progress in underwater welding: techniques, materials, advancements, and challenges
    SQ Moinuddin, A Chamarthi, MF Khan, A Niaz, S Arif, M Cheepu, ...
    Welding in the World 69 (9), 2805-2825 , 2025
    2025
    Citations: 8
  • Effect of Tool Pin Profiles on Defects Formation during Friction Stir Welding of AA 6082-T6 Straight-Pipes-Butt-Weld Joints.
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  • Digitization of welding processes
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    Joining Processes for Dissimilar and Advanced Materials, 483-512 , 2022
    2022
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  • Strength–Ductility Synergy in Biodegradable Mg-Rare Earth Alloy Processed via Multi-Directional Forging
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    Journal of Functional Biomaterials 16 (10), 391 , 2025
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  • Welding‐Based 3D, 4D, 5D Printing
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  • Quality assurance and control in welding and additive manufacturing
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    Automation in Welding Industry: Incorporating Artificial Intelligence … , 2024
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    Citations: 5