Vajeer Baba Shaik | Engineering | Best Researcher Award  

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Mr. Vajeer Baba Shaik | Engineering | Best Researcher Award

Research Scholar from Dr. B R Ambedkar National Institute of Technology, India

Shaik Vajeer Baba is a promising researcher and academic currently pursuing his PhD in Mechanical Engineering with a focus on thermal polygeneration systems at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar. He has a solid academic background, having completed his M.Tech in Thermal Engineering with a CGPA of 8.49 and a Bachelor’s degree in Mechanical Engineering. Baba is also active in various professional and academic roles, including as an Assistant Professor at Lingayas Vidyapeeth, where he contributes to teaching and research. His research is centered around energy-efficient systems, desalination technologies, and heat exchanger design. With a strong publication record and patents in energy and manufacturing, he shows great promise in his field. Baba’s work blends theoretical research with practical industrial applications, providing valuable insights into sustainability and energy optimization.

Professional Profile

Education

Shaik Vajeer Baba is currently pursuing a PhD in Mechanical Engineering at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, with a focus on thermal polygeneration systems. His academic journey began with a Bachelor’s degree in Mechanical Engineering from Dhanekula Institute of Engineering and Technology, where he graduated with a 73.04% score. Baba later completed his M.Tech in Thermal Engineering from Koneru Lakshmaiah Education Foundation (KL University) with an impressive CGPA of 8.49. His academic achievements reflect a strong foundation in mechanical and thermal engineering, and he continues to build on this expertise in his ongoing PhD research, which explores energy-efficient technologies in the field of thermal engineering.

Professional Experience

Shaik Vajeer Baba has accumulated valuable experience in both teaching and industry over the years. He currently serves as an Assistant Professor at Lingayas Vidyapeeth, where he has been contributing to the academic environment since January 2025. Prior to this, Baba held teaching positions at V.K.R.V.N.B & A.G.K. College of Engineering, Gudivada, and Anand College of Engineering and Management, Kapurthala. In addition to his teaching roles, he worked as a Junior Research Fellow (JRF) at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, where he worked on projects related to thermal engineering and energy systems. Baba’s industrial experience includes working as a machine operator at Better Castings, Vijayawada, providing him with practical exposure to manufacturing processes.

Research Interest

Shaik Vajeer Baba’s research interests are primarily focused on thermal engineering, specifically in the areas of polygeneration, heat exchanger design, HDH desalination, and system optimization. His PhD research is centered on thermal polygeneration systems, which combine multiple energy production processes for enhanced efficiency. Baba has explored heat exchanger design in various energy systems, aiming to improve heat transfer efficiency. His work also includes the development of desalination technologies, particularly focused on the HDH process, and integrating energy-efficient systems for sustainable energy solutions. These research areas have both academic and industrial relevance, aiming to tackle current energy challenges while promoting sustainability.

Research Skills

Shaik Vajeer Baba possesses a strong set of research skills, including expertise in heat exchanger design, energy system optimization, and the development of sustainable energy technologies. He is proficient in simulation and modeling software such as MATLAB and ANSYS, which he uses to analyze and optimize thermal systems. Baba’s ability to conduct both experimental and theoretical research allows him to generate valuable insights into energy-efficient technologies. His knowledge in product development is reflected in his work on thermal systems, HDH desalination, and heat pump systems. Moreover, his research has resulted in several published papers and patents, demonstrating his ability to contribute to scientific advancements in his field.

Awards and Honors

Shaik Vajeer Baba has received recognition for his innovative contributions to the field of thermal engineering. His work has resulted in several publications in reputed journals and conferences, including SCI and ESCI indexed papers. Baba has also applied for patents in areas like artificial intelligence in manufacturing and thermoelectric generators, showcasing his innovative thinking. Additionally, he has attended numerous Faculty Development Programs (FDPs) and workshops, which reflect his commitment to staying updated with the latest advancements in his field. Baba’s active involvement in academic activities, such as being the IQAC coordinator and R&D member at his institution, highlights his dedication to both research and educational development.

Conclusion

Shaik Vajeer Baba is an emerging scholar in the field of thermal engineering with a promising research trajectory. His academic background, strong publication record, and patents in the areas of energy systems and sustainable technologies demonstrate his dedication and potential as a researcher. Baba’s focus on energy efficiency and optimization aligns well with current global challenges in sustainable energy solutions. His work, which bridges both theoretical research and industrial applications, positions him as a valuable contributor to the field. With continued growth in collaborations, research output, and global recognition, Baba is well on his way to becoming a leading researcher in his area of expertise.

Publications Top Notes

  1. Title: Performance analysis of heat pump polygeneration system
    Authors: Shaik, Vajeer Baba; Srinivas, T.; Kukreja, Rajeev
    Journal: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
    Year: 2024

Jingxia Wang | Engineering | Best Researcher Award

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Ms. Jingxia Wang | Engineering | Best Researcher Award

Doctor from University of Shanghai for Science and Technology, China

Jingxia Wang is a promising young researcher and lecturer in the School of Mechanical Engineering at the University of Shanghai for Science and Technology. Her academic journey and research achievements reflect a strong commitment to advancing the field of electrical and electromechanical systems. With a specialized focus on the electromagnetic-thermal coupling and iron loss analysis in electric machines, she has contributed significantly to the theoretical and applied aspects of energy conversion technologies. Her research addresses key challenges in improving the performance and efficiency of permanent magnet and induction motors under inverter supply, aligning with the growing demands for high-performance electric drives. She has published several high-quality articles in top-tier journals such as IEEE Transactions on Industrial Electronics and IEEE Transactions on Energy Conversion, establishing her as a rising expert in her field. In addition to scholarly publications, she has also contributed to patented innovations in the domain of loss calculation and electromagnetic simulation. Her active participation in national research funding programs and leadership roles in funded projects underscore her academic capabilities. Jingxia Wang continues to grow as an independent researcher with a clear vision and technical depth, making her a strong candidate for prestigious academic recognition, including the Best Researcher Award.

Professional Profile

Education

Jingxia Wang has built her academic foundation through a robust and consistent educational trajectory in the field of electrical engineering. She completed her undergraduate studies at Northeast Electric Power University from September 2011 to July 2015, where she obtained a Bachelor’s degree in Electrical Engineering and Automation. Her early training laid the groundwork for deeper technical exploration and problem-solving in electric machine systems. Driven by academic passion and curiosity, she pursued doctoral studies at Southeast University—one of China’s top institutions—in the field of Electrical Engineering from September 2015 to March 2022. During her Ph.D., she specialized in iron loss modeling, magnetic field modulation, and electromagnetic-thermal coupling in motor systems, which later became core aspects of her research focus. Her doctoral work contributed to high-impact publications and several patents, indicating both theoretical innovation and practical relevance. While she has not undertaken a postdoctoral fellowship, the depth and breadth of her Ph.D. training have equipped her with the technical acumen necessary for independent research and academic leadership. Her educational background reflects strong theoretical grounding and hands-on experience with complex computational models and machine dynamics, positioning her well within the academic and industrial research community.

Professional Experience

Jingxia Wang has been serving as a Lecturer at the School of Mechanical Engineering, University of Shanghai for Science and Technology since June 2022. In this capacity, she has been actively engaged in both teaching and research activities related to electric machinery and computational modeling. Her professional role involves mentoring students, contributing to curriculum development, and leading research projects funded by national and municipal agencies. Although she does not have postdoctoral experience, her transition from Ph.D. to faculty position demonstrates her capability to operate as an independent researcher. As a principal investigator, she has led and managed a National Natural Science Foundation Youth Fund project focused on inverter-fed induction motors and magnetic loss analysis, reflecting her technical leadership and project management skills. Additionally, she has participated in and contributed to major collaborative research projects funded by NSFC and the Shanghai Science and Technology Commission. Her involvement in interdisciplinary work, such as multi-physics coupling analysis, further expands the relevance of her professional profile across mechanical and electrical domains. Jingxia’s teaching experience and project responsibilities showcase a balanced academic career that combines foundational research, practical application, and knowledge dissemination, strengthening her suitability for academic recognition and further career advancement.

Research Interests

Jingxia Wang’s research interests lie at the intersection of electrical machine design, electromagnetic modeling, and multiphysics simulation. Her work primarily focuses on accurate calculation and analysis of iron loss in permanent magnet and induction motors, especially under pulse-width modulation (PWM) inverter supply. One of her core contributions has been the application of general airgap magnetic field modulation theory to quantify iron loss and stray load loss more effectively. Additionally, she has expanded her research into bidirectional coupling between electromagnetic and thermal fields, a critical area for enhancing the design accuracy and reliability of electric machines in dynamic environments. Her interests also include finite element analysis (FEA), fast calculation algorithms, and field-oriented control techniques for electric drives. Through her ongoing research, she addresses challenges in improving energy efficiency, thermal stability, and operational reliability in motor systems used in transportation, robotics, and industrial automation. Her work bridges theoretical electromagnetics with real-world implementation, making her contributions both academically valuable and industrially applicable. As sustainability and electrification become global priorities, her research remains timely and impactful, paving the way for smarter, more efficient electromechanical devices and systems.

Research Skills

Jingxia Wang possesses a comprehensive set of research skills that support her specialization in electric machine systems and computational modeling. She is highly proficient in electromagnetic field theory and loss analysis techniques, particularly in inverter-fed motors. Her expertise includes the application of general airgap field modulation theory, finite element analysis (FEA), and the development of fast calculation methods for complex electromechanical systems. She is also skilled in thermal simulation and electromagnetic-thermal bidirectional coupling analysis, which are crucial for evaluating machine performance under varying operational conditions. Her programming capabilities and simulation experience with industry-standard tools enable her to handle multi-domain simulations efficiently. Furthermore, she has experience with research project design, proposal writing, data interpretation, and results dissemination through high-impact publications. Her skill set extends to intellectual property development, as evidenced by her co-invention of several patents. Jingxia is adept at translating theoretical models into practical applications, making her a valuable collaborator in both academic and industrial research environments. Her methodological rigor, combined with strong analytical and communication skills, enhances her ability to lead independent research and mentor students in advanced engineering topics.

Awards and Honors

Although specific awards are not listed beyond patents and project funding, Jingxia Wang’s academic track record includes several forms of recognition that demonstrate her research excellence and innovative capabilities. She has received competitive research funding from the National Natural Science Foundation of China, including a Youth Fund project, which is highly regarded for supporting emerging researchers with outstanding potential. Her leadership in this and other municipal projects such as the Shanghai “Science and Technology Innovation Action Plan” reflects recognition by key funding bodies and the research community. Her scholarly work has appeared in prestigious journals such as IEEE Transactions on Industrial Electronics and IEEE Transactions on Energy Conversion, often as the sole first author—a significant academic distinction. She has also co-invented multiple patents related to magnetic field modulation, iron loss calculation, and electromagnetic-thermal modeling, highlighting her contribution to applied research and technology transfer. These honors, combined with her early career achievements, serve as strong indicators of her research strength, impact, and upward trajectory. As her academic career progresses, she is well-positioned to attain further distinctions at both national and international levels.

Conclusion

Jingxia Wang emerges as a highly capable and driven early-career academic with a solid foundation in electrical engineering and a sharp focus on energy-efficient electromechanical systems. Her contributions span theoretical innovation, computational modeling, and practical engineering solutions—making her research both relevant and forward-looking. Through high-impact publications, funded projects, and patented technologies, she has already made a significant mark in the field of electric machine analysis. Her ability to integrate electromagnetic theory with thermal dynamics in machine modeling reflects a rare depth of technical insight and interdisciplinary thinking. While she could further benefit from postdoctoral experience or international research exposure, her current achievements speak to her strong potential for future academic and industrial leadership. As a researcher who demonstrates clarity in focus, rigor in methodology, and creativity in solving complex engineering problems, Jingxia Wang is a compelling nominee for the Best Researcher Award. Her trajectory suggests sustained contributions to science and engineering, with the capacity to influence not only academic discourse but also real-world applications in energy and automation systems.

Publications Top Notes

  1. Double-virtual-vector-based model predictive torque control for dual three-phase PMSM
    Authors: Qingqing Yuan, Rongyan Xiao, Jingxia Wang, Kun Xia, Wei Yu
    Journal: Electronics (Switzerland)
    Year: 2025

Bruno Agard | Engineering | Best Researcher Award

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Prof. Bruno Agard | Engineering | Best Researcher Award

Professor from Polytechnique Montréal, Canada

Professor Bruno Agard is a distinguished academic in the field of Industrial Engineering, currently holding a professorship at the École Polytechnique de Montréal within the Department of Mathematics and Industrial Engineering. As a core member of the Laboratoire en Intelligence des Données (LID), he is widely recognized for his applied research on data-driven decision-making across transportation systems, supply chain management, and product design. His academic journey has taken him through top institutions in France, the United States, and Canada, equipping him with a global outlook and a multidisciplinary approach. Professor Agard’s scholarly influence is exemplified through his involvement in collaborative research with CIRRELT and GERAD, as well as through his numerous technical reports and publications. A seasoned educator and mentor, he has supervised a significant number of postdoctoral researchers, doctoral candidates, and master’s students, contributing greatly to the academic community’s growth. His research focuses on integrating intelligent data analysis into real-world systems, thereby enhancing operational efficiency and sustainability. With his innovative contributions and longstanding commitment to research excellence, Professor Agard stands out as a highly deserving nominee for the Best Researcher Award. His work bridges theory and practice, shaping the future of industrial systems in academia and industry alike.

Professional Profile

Education

Professor Bruno Agard’s educational foundation is both extensive and prestigious, reflecting a clear trajectory of excellence in industrial engineering and applied sciences. He earned his Ph.D. in Industrial Engineering with honors in 2002 from the Institut National Polytechnique de Grenoble, France, where his dissertation focused on product design methodologies in contexts of wide diversity. Prior to that, he completed a Master of Science in Industrial Engineering (DEA) in 1999 at the same institution. His academic path also includes a highly competitive 5-year teaching degree (Agrégation) in 1998 from the École Normale Supérieure de Cachan, where he was ranked fourth nationally—an exceptional accomplishment. Additionally, he holds a four-year university degree in Technology (Maîtrise) with honors from Université d’Orléans-Tours (1997), a B.S. in Manufacturing (Licence) from the same university (1996), and a two-year technical degree (DUT) in Technology from Institut Universitaire Technologique de Bourges, where he was ranked second (1995). Professor Agard began his academic pursuit with a high school diploma (Baccalauréat) from Lycée Claude de France in 1992. His education reflects a solid and diverse academic preparation that underpins his expertise in industrial engineering, systems design, and data analysis.

Professional Experience

Professor Bruno Agard has built a remarkable academic and research career spanning over two decades across France, the United States, and Canada. Since 2014, he has served as a full Professor in the Department of Mathematics and Industrial Engineering at École Polytechnique de Montréal. Prior to this, he was promoted through the ranks at the same institution, working as an Associate Professor from 2008 to 2014 and Assistant Professor from 2003 to 2008. His academic journey began with an Assistant Professorship at the IUFM de Grenoble in the Department of Technology, Management, Economics, and Society during 2002–2003. In Spring 2001, he further broadened his academic exposure as a visiting researcher at the Intelligent Systems Laboratory, University of Iowa, USA. Between 1999 and 2002, Professor Agard also worked as a Teaching and Research Assistant at the Ecole Nationale Supérieure de Génie Industriel, part of the Institut National Polytechnique de Grenoble. His diverse academic roles have allowed him to lead cutting-edge research projects, engage with interdisciplinary teams, and contribute to curriculum development. His deep experience across international academic settings has cemented his role as a key figure in advancing industrial engineering, applied data science, and smart systems integration.

Research Interests

Professor Bruno Agard’s research interests lie at the intersection of industrial engineering, data science, and systems optimization. A core area of his expertise is in the application of intelligent data analysis to real-world problems, particularly in transportation systems, supply chain management, and product design. He is passionate about improving decision-making processes by developing data-driven methodologies that support operational efficiency and resilience. One of his notable domains of research is in analyzing smart card data to understand public transit usage patterns—an area where he has co-authored several technical reports in collaboration with CIRRELT. He also explores advanced clustering and segmentation techniques, temporal pattern recognition, and spatial-temporal data modeling. Professor Agard has demonstrated a strong interest in the joint design of product families and supply chains, applying optimization algorithms such as taboo search to solve complex, multi-objective problems. His research extends to occupational health and safety tools, emergency response logistics, and systems interoperability in public transportation during crisis scenarios. With a continuous focus on translating theoretical frameworks into applicable solutions, Professor Agard’s research is both academically rigorous and socially impactful. His work contributes significantly to sustainable urban planning, intelligent manufacturing, and the digital transformation of industrial systems.

Research Skills

Professor Bruno Agard possesses a wide array of advanced research skills that make him a prominent figure in industrial engineering and data intelligence. He is adept in quantitative modeling, optimization techniques, machine learning, and big data analytics—skills that he routinely applies to solve challenges in transportation, supply chains, and manufacturing. His technical proficiency includes developing innovative data mining and clustering algorithms to extract insights from smart card and operational datasets. He has shown a deep understanding of time-series analysis, segmentation methods, and spatial-temporal data integration. Moreover, Professor Agard has expertise in multi-objective optimization, particularly in designing product families and associated supply chains using heuristic and metaheuristic approaches, including taboo search. He is highly experienced in simulation modeling and decision support system design, ensuring his research remains practical and applicable. Additionally, he is a skilled academic mentor and collaborator, having supervised numerous Ph.D., master’s, and postdoctoral researchers. His ability to communicate complex ideas effectively in interdisciplinary and international contexts is further enhanced by his fluency in French, English, and intermediate Spanish. Altogether, Professor Agard’s research skill set positions him as a versatile and impactful contributor to the advancement of intelligent systems in industrial and academic environments.

Awards and Honors

While specific awards are not detailed in the provided information, Professor Bruno Agard’s impressive academic and research trajectory reflects a career marked by excellence, leadership, and scholarly impact. His appointment and promotion through all academic ranks—from Assistant to Full Professor—at École Polytechnique de Montréal is a testament to his sustained contributions and recognition within the academic community. Notably, his national ranking of fourth in the highly competitive Agrégation program at École Normale Supérieure de Cachan is an early indicator of his academic brilliance. Furthermore, his continued affiliation with prominent research institutions such as CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation) and GERAD (Group for Research in Decision Analysis) highlights the recognition of his research capabilities in elite scholarly circles. His extensive supervision of nearly 120 students across multiple levels, coupled with his leadership in interdisciplinary research projects, further positions him as an academic of high repute. Though no formal honors are listed, Professor Agard’s scholarly outputs, mentorship, and leadership roles within international collaborations demonstrate the impact and esteem he holds in his field. Such accomplishments strongly support his candidacy for distinguished awards recognizing research excellence.

Conclusion

In conclusion, Professor Bruno Agard exemplifies the qualities of a top-tier researcher deserving of the Best Researcher Award. With over two decades of academic experience, he has established himself as a leader in the fields of industrial engineering, intelligent data systems, and optimization. His ability to bridge theoretical innovation with practical applications has yielded valuable insights in public transit analytics, supply chain configuration, and emergency logistics planning. His multidisciplinary research collaborations with renowned institutions like CIRRELT and GERAD reflect his deep integration into Canada’s leading research ecosystems. Furthermore, his mentorship of over 120 students underscores his dedication to shaping the next generation of scholars and practitioners. Professor Agard’s methodological rigor, combined with a deep understanding of complex data environments, positions him as a transformative figure in his discipline. While his formal awards may not be extensively documented, the breadth of his contributions—spanning high-impact publications, student development, and applied industrial solutions—speak volumes about his research excellence. Recognizing Professor Agard with the Best Researcher Award would not only celebrate his achievements but also highlight the value of integrating data intelligence with industrial systems for societal advancement.

Publications Top Notes

  • Title: Machine Learning Tool for Yield Maximization in Cream Cheese Production
    Authors: L. Parrenin, A. Dupuis, C. Danjou, B. Agard

  • Title: An Inventory Management Support Tool Through Indirect Q-Value Estimation: A Combined Optimization and Forecasting Approach
    Authors: A.R. Delfiol, C. Dadouchi, B. Agard, P. St-Aubin

  • Title: Modulated spatiotemporal clustering of smart card users
    Authors: R. Decouvelaere, M.M. Trépanier, B. Agard
    Year: 2024
    Citations: 4

  • Title: A decision support tool to analyze the properties of wheat, cocoa beans and mangoes from their NIR spectra
    Authors: L. Parrenin, C. Danjou, B. Agard, G. Marchesini, F. Barbosa
    Year: 2024
    Citations: 1

  • Title: Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering
    Authors: C. Ducharme, B. Agard, M.M. Trépanier
    Year: 2024
    Citations: 1

  • Title: Improvement of freight consolidation through a data mining-based methodology
    Authors: Z. Aboutalib, B. Agard
    Year: 2024

  • Title: Digital Technologies and Emotions: Spectrum of Worker Decision Behavior Analysis
    Authors: A. Dupuis, C. Dadouchi, B. Agard

  • Title: A decision support system for sequencing production in the manufacturing industry
    Authors: A. Dupuis, C. Dadouchi, B. Agard
    Year: 2023
    Citations: 1

  • Title: A decision support tool for the first stage of the tempering process of organic wheat grains in a mill
    Authors: L. Parrenin, C. Danjou, B. Agard, R. Beauchemin
    Year: 2023
    Citations: 5

 

Masoud Alilou | Engineering | Best Researcher Award

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Assist. Prof. Dr. Masoud Alilou | Engineering | Best Researcher Award

Electrical Engineering from Urmia University of Technology, Iran

Dr. Masoud Alilou is a distinguished academic and researcher whose expertise lies at the intersection of biomedical engineering, image processing, and machine learning. Renowned for his pioneering contributions to medical image analysis, Dr. Alilou has played a pivotal role in advancing computational tools for disease detection and diagnosis. His research integrates advanced algorithm development with practical clinical applications, especially in oncology and pulmonary imaging. With a strong publication record in high-impact journals and numerous international collaborations, Dr. Alilou is recognized for his innovative methodologies and interdisciplinary approach. He has also been instrumental in mentoring graduate students and contributing to curriculum development in biomedical engineering and computer science programs. His commitment to translational research has led to the development of automated tools aimed at improving diagnostic accuracy and patient care. Over the years, Dr. Alilou has gained a reputation for excellence in research, teaching, and academic leadership. He is a frequent reviewer for reputed journals and conferences, and his work has been widely cited. Through his dedication to technological innovation and scientific rigor, Dr. Alilou continues to make significant contributions to medical imaging and artificial intelligence in healthcare, solidifying his status as a leader in the academic and scientific communities.

Professional Profile

Education

Dr. Masoud Alilou’s academic journey reflects his deep-rooted commitment to interdisciplinary research and education. He earned his Bachelor’s degree in Computer Engineering, laying a strong foundation in algorithm design, programming, and systems analysis. Driven by a desire to apply computational methods to real-world problems, he pursued a Master’s degree in Biomedical Engineering. During this period, he focused on medical image analysis and machine learning, bridging the gap between engineering and clinical medicine. His master’s research emphasized the development of image processing tools for diagnosing chronic lung diseases, which sparked his long-term interest in healthcare technologies. He later completed his Ph.D. in Biomedical Engineering at Case Western Reserve University, a globally respected institution in the field. His doctoral research concentrated on automated quantitative analysis of medical images using advanced computational models and machine learning techniques. During his Ph.D., Dr. Alilou collaborated closely with radiologists and oncologists, reinforcing the clinical relevance of his work. His interdisciplinary training uniquely positioned him to develop algorithms that are both technically robust and clinically meaningful. Through rigorous coursework, hands-on research, and cross-disciplinary mentorship, Dr. Alilou has built an educational background that combines computational science, engineering, and medicine—an essential blend for cutting-edge biomedical research.

Professional Experience

Dr. Masoud Alilou has amassed an impressive portfolio of professional experience that spans academic research, interdisciplinary collaboration, and technological innovation. Following his doctoral studies, he joined the Quantitative Imaging Laboratory at Case Western Reserve University as a research scientist. In this role, he led and contributed to multiple NIH-funded projects aimed at developing automated tools for lung cancer screening and diagnosis using low-dose CT scans. His work involved close collaboration with clinicians, radiologists, and computer scientists, fostering a rich interdisciplinary environment. Dr. Alilou has also served as a senior researcher and developer on projects integrating artificial intelligence into clinical workflows, focusing on machine learning algorithms for lung nodule detection, segmentation, and classification. His algorithms have been implemented in software solutions used by research hospitals and diagnostic centers, significantly enhancing diagnostic precision and workflow efficiency. In addition to research, Dr. Alilou has mentored graduate students, supervised thesis projects, and contributed to the development of training modules in biomedical imaging and AI. His professional experience also includes serving as a reviewer for numerous peer-reviewed journals, including IEEE Transactions on Medical Imaging and Medical Physics. Through these roles, Dr. Alilou has built a strong reputation as both a scientific innovator and a collaborative leader in the medical imaging community.

Research Interests

Dr. Masoud Alilou’s research interests lie at the convergence of biomedical engineering, medical image analysis, and artificial intelligence. Central to his work is the development of computational techniques for the automated analysis of medical images, particularly in the early detection and characterization of diseases such as lung cancer and chronic obstructive pulmonary disease (COPD). He is deeply interested in low-dose CT imaging and its applications in non-invasive diagnostics, seeking to optimize the accuracy and efficiency of radiological assessments through advanced algorithms. A significant focus of Dr. Alilou’s research is on radiomics—extracting high-dimensional features from medical images to identify patterns correlated with disease outcomes. He is also engaged in developing deep learning models for image classification, segmentation, and prediction of treatment response. His work explores how quantitative image features can be integrated with clinical data to inform precision medicine. Moreover, Dr. Alilou is enthusiastic about translational research, ensuring that the algorithms and tools he develops are applicable in clinical settings. His interdisciplinary projects often involve partnerships with radiologists, oncologists, and biostatisticians. Through his commitment to impactful research, Dr. Alilou continues to push the boundaries of medical imaging, aiming to enhance patient outcomes through innovation and data-driven healthcare solutions.

Research Skills

Dr. Masoud Alilou possesses an exceptional set of research skills that span computational modeling, machine learning, and biomedical image analysis. He is highly proficient in developing and implementing complex algorithms for image processing tasks, including segmentation, registration, and feature extraction. His expertise in computer vision allows him to work with large-scale imaging datasets, transforming raw medical data into meaningful clinical insights. He has extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras, which he uses to design and train neural networks for various diagnostic tasks. Additionally, Dr. Alilou is adept in programming languages such as Python, MATLAB, and C++, enabling him to prototype and optimize algorithms efficiently. His skills in radiomics and statistical analysis allow for the extraction and evaluation of high-dimensional imaging biomarkers, supporting the development of predictive and prognostic models. Dr. Alilou also demonstrates strong skills in interdisciplinary collaboration, integrating domain knowledge from radiology, oncology, and bioinformatics into his research workflows. His rigorous approach to data validation, model performance evaluation, and reproducibility ensures the reliability of his findings. Whether through designing novel AI models or translating computational tools into clinical applications, Dr. Alilou’s technical and collaborative skills stand at the core of his impactful research contributions.

Awards and Honors

Dr. Masoud Alilou has received several prestigious awards and honors in recognition of his outstanding research contributions and academic achievements. His innovative work in the field of medical image analysis has earned him accolades from both academic institutions and professional organizations. As a graduate student, he was honored with the Research Excellence Award at Case Western Reserve University, acknowledging his impactful contributions to biomedical engineering and medical imaging. His research has also been recognized at international conferences, where he has received best paper and poster awards for his work on automated lung cancer detection and radiomics-based diagnostic tools. Dr. Alilou’s contributions to artificial intelligence in healthcare have attracted attention from funding bodies such as the National Institutes of Health (NIH), resulting in several grant-supported projects. In addition, he has been invited to present his work at renowned symposiums and workshops, affirming his status as a thought leader in his field. Dr. Alilou also serves as a regular reviewer for high-impact journals, a testament to the scientific community’s trust in his expertise. These honors reflect not only his technical proficiency but also his dedication to advancing medical science through innovation, collaboration, and academic excellence.

Conclusion

In summary, Dr. Masoud Alilou stands out as a pioneering figure in the field of biomedical engineering and medical image analysis. With a strong educational foundation and diverse professional experience, he has successfully bridged the worlds of computational science and clinical medicine. His research—centered on the development of AI-driven tools for disease diagnosis and prediction—has not only advanced academic knowledge but also brought tangible benefits to healthcare practice. Dr. Alilou’s skills in image processing, machine learning, and interdisciplinary collaboration have positioned him as a key contributor to the evolving landscape of precision medicine. His numerous awards and academic recognitions reflect a career marked by innovation, excellence, and societal impact. Beyond research, Dr. Alilou’s contributions as a mentor, educator, and collaborator have enriched the academic and scientific communities. Looking forward, he continues to explore new frontiers in medical AI, with a vision of improving diagnostic accuracy, patient outcomes, and health system efficiency. As a scientist dedicated to turning complex data into actionable healthcare solutions, Dr. Alilou exemplifies the potential of integrating technology and medicine for the betterment of global health.

Publications Top Notes

  1. Title: Home energy management in a residential smart micro grid under stochastic penetration of solar panels and electric vehicles
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 93

  2. Title: Fractional-order control techniques for renewable energy and energy-storage-integrated power systems: A review
    Authors: M. Alilou, H. Azami, A. Oshnoei, B. Mohammadi-Ivatloo, R. Teodorescu
    Year: 2023
    Citations: 33

  3. Title: Application of multi objective HFAPSO algorithm for simultaneous placement of DG, capacitor and protective device in radial distribution network
    Authors: H. Shayeghi, M. Alilou
    Year: 2015
    Citations: 25

  4. Title: Multi-objective optimization of demand side management and multi DG in the distribution system with demand response
    Authors: M. Alilou, D. Nazarpour, H. Shayeghi
    Year: 2018
    Citations: 24

  5. Title: Simultaneous placement of renewable DGs and protective devices for improving the loss, reliability and economic indices of distribution system with nonlinear load model
    Authors: M. Alilou, V. Talavat, H. Shayeghi
    Year: 2020
    Citations: 20

  6. Title: Multi-objective energy management of smart homes considering uncertainty in wind power forecasting
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2021
    Citations: 19

  7. Title: Multi-Objective demand side management to improve economic and‎ environmental issues of a smart microgrid‎
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 17

  8. Title: Distributed generation and microgrids
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 16

  9. Title: Multi‐objective unit and load commitment in smart homes considering uncertainties
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 12

  10. Title: Day-ahead scheduling of electric vehicles and electrical storage systems in smart homes using a novel decision vector and AHP method
    Authors: M. Alilou, G.B. Gharehpetian, R. Ahmadiahangar, A. Rosin, et al.
    Year: 2022
    Citations: 11

  11. Title: Optimal placement and sizing of TCSC for improving the voltage and economic indices of system with stochastic load model
    Authors: S. Ghaedi, B. Tousi, M. Abbasi, M. Alilou
    Year: 2020
    Citations: 10

Degefu Dogiso | Engineering | Best Researcher Award

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Mr. Degefu Dogiso | Engineering | Best Researcher Award

PhD candidate from Hawassa University, Ethiopia

Degefu Dogiso is an emerging researcher in the field of Agricultural Engineering, with a strong focus on soil and water conservation. An Ethiopian national, he has built a solid academic and professional foundation in environmental and watershed management. Currently pursuing his PhD at Hawassa University Institute of Technology, he demonstrates deep commitment to research that addresses critical environmental challenges, including soil erosion, climate change impacts, and sustainable land use. Degefu has published peer-reviewed articles in reputable journals such as Land Degradation & Development and Agrosystem, Geoscience and Environment, showcasing his ability to contribute meaningful scientific insights. His technical proficiency spans across advanced modeling tools like SWAT and InVEST-SDR, GIS applications, and machine learning for environmental analysis. Additionally, his practical experience in governmental and conservation roles strengthens his applied understanding of the field. Degefu’s research integrates technology, field knowledge, and policy application, reflecting a well-rounded profile suitable for academic and practical impact. His career trajectory, marked by consistent growth and relevance, positions him as a promising candidate for future academic honors and research leadership. His dedication to both knowledge generation and environmental sustainability underpins a scholarly path rooted in impact, innovation, and responsibility.

Professional Profile

Education

Degefu Dogiso has built a robust academic foundation in the field of soil and water conservation through a progressive and focused educational journey. He is currently pursuing a PhD in Agricultural Engineering, specializing in Soil and Water Conservation Engineering, at the Hawassa University Institute of Technology. His doctoral research emphasizes the modeling of soil erosion and the impact of climate change on natural resources, showcasing a research direction with high environmental relevance. Prior to his PhD, Degefu earned a Master of Science (MSc) in Soil and Water Conservation Engineering from the same institution, where he cultivated expertise in hydrological modeling, conservation practices, and sustainable watershed management. His academic roots trace back to his undergraduate studies at the Hawassa University Wondo Genet College of Forestry and Natural Resources, where he completed his Bachelor of Science (BSc) in Soil Resources and Watershed Management. Each phase of his academic path reflects a commitment to advancing scientific knowledge and practical solutions in environmental resource management. Through these rigorous academic programs, he has developed a deep theoretical understanding and practical skill set that now support his growing contributions to scientific literature and environmental policy. His educational trajectory reinforces his credibility as a research-oriented professional.

Professional Experience

Degefu Dogiso brings significant professional experience that complements his academic background, highlighting his ability to translate research into action. Over the span of eight years, he has served in key roles that demonstrate leadership, technical expertise, and community engagement. For five years, he worked as a Soil and Water Conservation Expert, where he was responsible for implementing conservation strategies, conducting erosion assessments, and advising on sustainable land management practices. This role involved hands-on project management and provided him with critical insights into the ecological and social dynamics of conservation in Ethiopia. Following this, Degefu advanced to the position of Agricultural Office Head for three years. In this role, he oversaw agricultural development projects, coordinated with stakeholders, and led initiatives focused on soil and water conservation across regional agricultural zones. His leadership helped bridge policy with practice and ensured the effective implementation of environmentally responsible agricultural strategies. These experiences have equipped him with a practical understanding of the challenges and opportunities in soil and water resource management. His professional journey demonstrates not only a commitment to environmental stewardship but also the capacity to lead, implement, and innovate within both technical and administrative frameworks.

Research Interests

Degefu Dogiso’s research interests lie at the intersection of environmental science, engineering, and sustainable land management. His primary focus is on soil erosion modeling and conservation strategies, a field critical to mitigating land degradation and maintaining agricultural productivity. He is deeply engaged in examining the impacts of land use and land cover change (LULCC) on soil and water resources, particularly in ecologically sensitive and heavily farmed regions of Ethiopia. His interests also extend to assessing the impacts of climate change on soil and water systems, an area with growing urgency due to shifting rainfall patterns and increasing vulnerability in the Global South. Hydrological modeling and watershed management form another core area of his research, as he seeks to understand and optimize water resource distribution within complex ecological systems. Additionally, Degefu is passionate about applying remote sensing and GIS technologies in environmental monitoring, combining spatial data analysis with modern computing tools to inform conservation strategies. His research interests are not only scientifically relevant but also have practical implications for environmental planning and agricultural resilience. This wide-ranging, yet interconnected, portfolio reflects a comprehensive and forward-thinking approach to tackling contemporary environmental challenges.

Research Skills

Degefu Dogiso possesses a robust set of research skills that equip him to tackle complex environmental and agricultural challenges with precision and innovation. He is proficient in soil erosion modeling using advanced tools such as USLE, RUSLE, SWAT, and InVEST-SDR, which allow for detailed simulations and analysis of erosion patterns under various land use and climate scenarios. Additionally, he has experience with Object-Based Image Analysis (OBIA), which enhances the accuracy of land classification and landscape interpretation. His skill set also includes climate change impact assessment, particularly using the CMIP6 model suite, which enables him to analyze future climate trends and their implications on soil and water systems. In the realm of geospatial analysis, Degefu is highly skilled in GIS and remote sensing platforms, including Google Earth Engine, ArcGIS, and ERDAS, tools essential for environmental monitoring and decision-making. He complements his spatial and modeling expertise with strong abilities in data analysis and visualization, using programming languages like Python and R, alongside traditional tools like Excel. Furthermore, his application of machine learning in land use and land cover classification demonstrates a commitment to integrating cutting-edge technology into his research. These combined skills make him a versatile and capable researcher.

Awards and Honors

While specific formal awards or honors are not listed in Degefu Dogiso’s curriculum vitae, his academic and professional achievements suggest a strong trajectory toward future recognition. His publication of peer-reviewed research in respected journals such as Land Degradation & Development and Agrosystem, Geoscience and Environment is itself a significant academic accomplishment, often regarded as a marker of excellence in research communities. In addition, his selection and continued progress as a PhD candidate at Hawassa University Institute of Technology reflect the institutional recognition of his research potential and technical competence. His leadership as an Agricultural Office Head further implies a level of trust and respect within his professional sphere, particularly in overseeing large-scale conservation and agricultural initiatives. Moreover, his ability to publish internationally relevant research while engaging in on-the-ground conservation work distinguishes him among his peers. As he completes his PhD and expands his academic output, Degefu is well-positioned to receive formal accolades, research grants, and conference invitations. Continued contributions to interdisciplinary research and international collaboration will likely bring him closer to notable awards in soil and water conservation, climate change research, and environmental engineering.

Conclusion

In conclusion, Degefu Dogiso is a dedicated and forward-thinking researcher whose work bridges science, technology, and environmental sustainability. With a solid academic background in soil and water conservation, ongoing PhD research, and years of field experience, he has developed a comprehensive understanding of ecological systems and sustainable land management. His skill set spans critical tools and methodologies, from erosion modeling and hydrological simulation to remote sensing and machine learning-based analysis. His recent publications in reputable international journals affirm his capacity for high-quality research and his commitment to addressing pressing environmental challenges in Ethiopia and beyond. While he is still in the early stages of his academic career, Degefu has laid a strong foundation for future scholarly and professional success. Continued growth in international collaboration, diversified research output, and completion of his doctoral studies will further enhance his qualifications for top-tier academic awards. As such, Degefu Dogiso not only demonstrates potential for recognition as a leading researcher but also embodies the values of applied science, community engagement, and environmental responsibility that are crucial in addressing the global challenges of our time.

Publications Top Notes

  1. Title: Assessment of soil erosion and sedimentation dynamics in the Rift Valley Lakes Basin, Ethiopia
    Authors: Degefu Dogiso, Alemayehu Muluneh, Abiot Ketema
    Year: 2025

  2. Title: Soil Erosion Responses to CMIP6 Climate Scenarios and Land Cover Changes in the Gidabo Watershed, Ethiopia: Implications for Sustainable Watershed Management
    Authors: Degefu Dogiso, Alemayehu Muluneh, Abiot Ketema
    Year: 2025

  3. Title: Soil Erosion Responses to CMIP6 Climate Scenarios and Land Cover Changes in the Gidabo Watershed, Ethiopia: Implications for Sustainable Watershed Management
    Author: Degefu Dogiso
    Year: 2025

  4. Title: Assessment of soil erosion and sedimentation dynamics in the Rift Valley Lakes Basin, Ethiopia
    Author: Degefu Dogiso
    Year: 2025

Hulya Sen Arslan | Engineering | Women Researcher Award

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​Assist. Prof. Dr. Hulya Sen Arslan | Engineering | Women Researcher Award

KARAMANOĞLU MEHMETBEY UNIVERCITY, Turkey

Dr. Hülya Şen Arslan is a distinguished academic specializing in Food Engineering, with a focus on functional foods, food chemistry, and food microbiology. She is currently serving as an Assistant Professor in the Department of Food Engineering at Karamanoğlu Mehmetbey University. Dr. Arslan has an extensive educational background, having completed her undergraduate studies at Selçuk University, followed by a master’s degree at Erciyes University, and a doctorate at Selçuk University. Her research interests are deeply rooted in food sciences, particularly in the development and analysis of functional foods and the chemical and microbiological aspects of food products. Throughout her career, Dr. Arslan has contributed to the academic community with several publications and has actively participated in peer review processes. Her dedication to research and education in the field of food engineering underscores her commitment to advancing knowledge and promoting innovation in food science.​

Professional Profile

Education

Dr. Hülya Şen Arslan’s academic journey commenced with a Bachelor of Science degree from Selçuk University’s Faculty of Agriculture, where she studied from 2009 to 2014. She then pursued a Master of Science in the Institute of Science at Erciyes University between 2014 and 2017. Her doctoral studies were conducted at Selçuk University’s Institute of Science from 2018 to 2022. This comprehensive educational background has provided Dr. Arslan with a solid foundation in agricultural and food sciences, equipping her with the necessary skills and knowledge to excel in her field.​

Professional Experience

Currently, Dr. Hülya Şen Arslan holds the position of Assistant Professor in the Department of Food Engineering at Karamanoğlu Mehmetbey University. In this role, she is responsible for teaching undergraduate and graduate courses, mentoring students, and conducting research in her areas of expertise. Her professional experience is marked by a commitment to academic excellence and a dedication to advancing the field of food engineering through both education and research.​

Research Interests

Dr. Arslan’s research interests encompass several critical areas within food sciences. She focuses on functional foods, exploring how bioactive components can enhance health benefits. Her work in food chemistry involves analyzing the molecular composition and properties of food substances, while her studies in food microbiology examine the role of microorganisms in food production, preservation, and safety. These research pursuits aim to contribute to the development of healthier and safer food products.​

Research Skills

With a robust background in food sciences, Dr. Arslan possesses a diverse set of research skills. She is proficient in laboratory techniques pertinent to food chemistry and microbiology, including chromatographic and spectroscopic methods for analyzing food components, as well as microbiological assays for detecting and characterizing foodborne pathogens. Additionally, her expertise extends to the design and implementation of studies related to functional foods, encompassing both the development of novel food products and the assessment of their health impacts.​

Awards and Honors

While specific awards and honors have not been detailed, Dr. Arslan’s contributions to the field of food engineering are evident through her active participation in research and academia. Her publications and involvement in peer review activities reflect a recognition of her expertise and dedication to advancing knowledge in food sciences.​

Conclusion

In summary, Dr. Hülya Şen Arslan is a dedicated academic and researcher in the field of food engineering. Her comprehensive education and professional experience have enabled her to contribute significantly to the understanding and development of functional foods, food chemistry, and food microbiology. Through her teaching, research, and service to the academic community, Dr. Arslan continues to play a vital role in advancing the science of food and promoting innovations that enhance food quality and safety.

Publications Top Notes​

  • Title: Simultaneous extraction of phenolics and essential oil from peppermint by pressurized hot water extraction
    Authors: M. Cam, E. Yüksel, H. Alaşalvar, B. Başyiğit, H. Şen, M. Yılmaztekin, et al.
    Year: 2019
    Citations: 34

  • Title: Antioxidant and chemical effects of propolis, sage (Salvia officinalis L.), and lavender (Lavandula angustifolia Mill) ethanolic extracts on chicken sausages
    Authors: S. Yerlikaya, H. Şen Arslan
    Year: 2021
    Citations: 15

  • Title: Antibacterial and antioxidant activity of peach leaf extract prepared by air and microwave drying
    Authors: H. Şen Arslan, A. Cabi, S. Yerlikaya, C. Sariçoban
    Year: 2021
    Citations: 8

  • Title: Comparison some microbiological and physicochemical properties of freeze dryed and spray dryed milk powder
    Authors: S. Yerlikaya, H. Ş. Arslan
    Year: 2019
    Citations: 8*

  • Title: Effect of ultrasound and microwave pretreatments on some bioactive properties of beef protein hydrolysates
    Authors: H. Şen Arslan, C. Sariçoban
    Year: 2023
    Citations: 7

  • Title: Use of fruits and vegetables in meat and meat products in terms of dietary fiber
    Authors: H. Şen Arslan, C. Sariçoban, S. Yerlikaya
    Year: 2021
    Citations: 4

  • Title: Effects of various plant parts on storage stability and colour parameters of beef extracts
    Authors: B. A. Oğuz, C. Sarıçoban, H. Şen Arslan
    Year: 2019
    Citations: 4

  • Title: Ultrason destekli elma atık özütlerinin bazı biyoaktif özellikleri
    Authors: H. Ş. Arslan
    Year: 2023
    Citations: 3*

  • Title: Karaman İl Merkezinde Yaşayan Halkın Bilinçli Gıda Tüketim Derecesinin Araştırılması
    Authors: S. Yerlikaya, Ş. N. Karaman, S. Tuna, H. Ş. Arslan
    Year: 2020
    Citations: 3

  • Title: Increased reactive carboxyl and free alfa-amino groups from fish type I collagen peptides by Alcalase® hydrolysis exhibit higher antibacterial and antioxidant …
    Authors: S. Yasar, H. S. Arslan, K. Akgul
    Year: 2024
    Citations: 2

Atiqur Rahman | Engineering | Best Researcher Award

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Mr. Atiqur Rahman | Engineering | Best Researcher Award

PhD Researcher from University of Bolton, United Kingdom

Md Atiqur Rahman is a passionate aerospace engineering professional with a rich background in both academia and research. Currently serving as an Engineering Lecturer at Blackpool & The Fylde College in the UK, he also pursues a Ph.D. at the University of Bolton, focusing on sustainable composite materials for aerospace applications. With over nine years of experience in aeronautical education, his expertise spans curriculum development, student mentorship, assessment, and instructional leadership. He has taught at multiple institutions including Preston College, University of Bolton, and Cambrian International College of Aviation. His research is deeply rooted in innovation, particularly in the area of natural fiber-reinforced composites, with a specific emphasis on Borassus flabellifer (palmyra palm) husk fibers. Rahman has published six research articles and actively participates in academic conferences and seminars. Known for his technical abilities and practical knowledge, he integrates tools like Ansys, SolidWorks, and Matlab in both research and teaching. Awarded Best Lecturer in 2022 and a mentor to an award-winning student in 2021, he exemplifies academic dedication. Md Rahman is committed to advancing aerospace engineering through sustainable innovations while nurturing student growth in higher education. His profile reflects a balance of scholarly excellence, practical engineering acumen, and a deep commitment to teaching.

Professional Profile

Education

Md Atiqur Rahman has pursued a solid academic trajectory in aerospace and mechanical engineering. He is currently enrolled in a Ph.D. program at the University of Bolton, United Kingdom, where his research centers on the development of natural fiber-based composite materials for aerospace applications. This research is both timely and impactful, aligning with global movements toward sustainable aviation technology. Concurrently, he completed a Master of Philosophy (MPhil R2) in Mechanical Engineering at the same institution between July 2022 and November 2024, further sharpening his expertise in advanced material science and structural mechanics. His academic foundation began with a Bachelor of Engineering (Honours) degree in Aerospace Engineering from the University of Hertfordshire, UK, which he completed in 2012. The rigorous curriculum provided him with strong fundamentals in aerodynamics, propulsion systems, and aerospace structures. Throughout his educational journey, Md Rahman has consistently demonstrated academic excellence, integrating theory with hands-on research and software simulation. His academic path underscores a clear focus on applied engineering, sustainability, and innovation. This robust combination of qualifications positions him well for continued leadership in both academia and the aerospace research community, particularly in the development and application of bio-composites and eco-friendly engineering solutions.

Professional Experience

Md Atiqur Rahman has accumulated a diverse and extensive professional background in engineering education, spanning over nine years across the UK and Bangladesh. He currently serves as an Engineering Lecturer at Blackpool & The Fylde College, where he teaches and manages students up to Level 6, designs course materials, assesses learners, and supports curriculum alignment with Lancaster University and employer standards. Previously, he worked at Preston College, teaching aeronautical engineering to students in BTEC Pearson, City & Guilds, and EAL programs. At the University of Bolton, he served as a variable-hours lecturer, contributing to module delivery, exam preparation, and student guidance. In Bangladesh, Rahman held academic and leadership roles at Cambrian International College of Aviation and United College of Aviation, Science & Management. At Cambrian, he also acted as Internal Quality Assurer (IQA), leading BTEC curriculum development and internal training for faculty. Across all institutions, he has shown excellence in teaching, curriculum design, academic support, and student engagement. His ability to adapt his instruction based on learner capabilities has significantly enhanced academic outcomes. Rahman’s teaching is enriched by his research pursuits and practical skills, creating a well-rounded, impactful educational approach that bridges theory, practice, and innovation.

Research Interests

Md Atiqur Rahman’s research interests are centered around sustainable and advanced materials for aerospace applications. His current Ph.D. work at the University of Bolton explores the development and characterization of natural fiber-reinforced polymer composites, with a particular focus on Borassus flabellifer (palmyra palm) husk fibers. He investigates their physical, thermal, mechanical, and dynamic properties to evaluate their viability as lightweight, eco-friendly alternatives to traditional aerospace materials. His broader research interest encompasses aerodynamics, structural mechanics, hypersonic flight technologies, and bio-composite development. By aligning material science with aerospace engineering, Rahman seeks to address the increasing demand for sustainability in aviation. He is particularly drawn to the lifecycle assessment of natural fibers and their transformation through alkali treatments, aiming to enhance their bonding, thermal stability, and mechanical resilience. His work has practical implications for aircraft manufacturing, structural component design, and green engineering practices. He also maintains an interest in the pedagogical methods for engineering education and how research can be translated into real-world classroom application. This multi-dimensional research approach not only contributes to the scientific community but also supports the global push for environmentally responsible aerospace solutions through academic innovation and practical application.

Research Skills

Md Atiqur Rahman possesses a well-rounded and technically proficient set of research skills that support his specialization in material science and aerospace engineering. He is highly skilled in experimental research methodologies, particularly in characterizing bio-composite materials. His hands-on expertise includes the use of advanced lab instruments such as TA Instruments (TGA, DSC, DMA) for thermal analysis, Instron for tensile and flexural testing, and FTIR spectroscopy for chemical characterization. He is also proficient in density and water uptake measurements using pycnometers and ovens, and in the preparation of composite materials through hand lay-up techniques. Rahman complements his experimental skills with strong computational abilities, using tools like Ansys for finite element analysis, SolidWorks and Fusion 360 for design modeling, and Matlab for mathematical modeling and simulations. He applies these tools to optimize material properties and validate experimental outcomes. In addition, he demonstrates strong academic writing and data interpretation skills, having authored several scientific articles. His research workflow also reflects a robust understanding of ethics, literature review, statistical analysis, and research dissemination. These combined skills allow him to carry out comprehensive investigations in aerospace material development and communicate findings effectively to both academic and industry audiences.

Awards and Honors

Md Atiqur Rahman has earned notable recognition for his excellence in both teaching and research throughout his academic career. One of his most distinguished accolades is the Best Lecturer Award (2022) from Cambrian International College of Aviation, a testament to his commitment to student engagement, curriculum innovation, and instructional excellence. His mentorship has also yielded impressive results—most notably when one of his students was selected for the BTEC Award (2021) and received the Bronze Certificate for Engineering Learner of the Year, highlighting his ability to inspire and guide learners toward excellence. In addition to institutional recognition, Rahman is affiliated with several prestigious professional bodies, including the Royal Aeronautical Society (RAeS), The Institution of Structural Engineers (IStructE), and the American Society of Civil Engineers (ASCE). His active involvement in these societies, coupled with his participation in high-profile events like the RAeS Aerodynamics Specialist Conference and Government HE Events, showcases his commitment to lifelong learning and professional development. These honors and memberships not only validate his academic contributions but also underscore his rising influence as an educator and researcher in aerospace engineering, particularly in the field of sustainable materials and advanced manufacturing technologies.

Conclusion

Md Atiqur Rahman stands as a dynamic and impactful figure in the realms of aerospace education and research. His journey—from a dedicated lecturer to an innovative Ph.D. researcher—demonstrates a rare blend of academic rigor, teaching excellence, and research innovation. His work on natural fiber-based composites is not only scientifically significant but also timely, addressing pressing environmental challenges within aerospace engineering. With a growing list of publications, conference presentations, and teaching awards, Rahman has established himself as a promising academic professional committed to excellence. His ability to bridge the gap between research and education ensures that his findings contribute directly to student learning and industry advancement. His diverse teaching experiences across different academic systems further enhance his instructional agility and global outlook. As he continues to expand his research collaborations, aim for high-impact journals, and pursue research leadership roles, his contributions will undoubtedly strengthen the field of sustainable aviation and engineering education. Md Atiqur Rahman is a deserving candidate for recognition such as the Best Researcher Award, with strong potential for continued academic and research leadership. His trajectory reflects both deep expertise and future promise in advancing environmentally responsible technologies within aerospace engineering.

Publications Top Notes

  1. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 2: Insights into Its Thermal and Mechanical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 3

  2. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 1: Insights into Its Physical and Chemical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski
    Year: 2024
    Citations: 3

  3. Title: Effect of Alkali Treatment on Dynamic Mechanical Properties of Borassus Flabellifer Husk Fibre Reinforced Epoxy Composites
    Authors: M.A. Rahman, Mamadou Ndiaye, Bartosz Weclawski, et al.
    Year: 2025
    Citations: 2

  4. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 3: Insights into Its Morphological, Chemical and Thermal Properties after Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 2

  5. Title: Optimizing Borassus Husk Fibre/Epoxy Composites: A Study on Physical, Thermal, Flexural and Dynamic Mechanical Performance
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025
    Citations: 1

  6. Title: Enhancing Thermal and Dynamic Mechanical Properties of Lignocellulosic Borassus Husk Fibre/Epoxy Composites through Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025

Phani Monogya Katikireddi | Engineering | Best Innovator Award

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Mr. Phani Monogya Katikireddi | Engineering | Best Innovator Award

Cloud AI/ML Devops Engineer from USDA, United States

Phani Monogya Katikireddi is a highly accomplished IT professional with over 9.5 years of experience in Cloud AI/ML, DevOps Engineering, Full Stack Development, and Software Engineering. He specializes in integrating AI/ML technologies with scalable cloud infrastructure to develop innovative solutions that enhance business operations. His expertise spans automating workflows, designing robust CI/CD pipelines, and optimizing development lifecycles. In addition to his technical contributions, he has made significant research advancements, publishing multiple papers on AI/ML and DevOps, authoring a book on AI/ML, and securing two patents for innovative solutions. As a recognized thought leader, he serves on the editorial boards of esteemed journals, contributing to the evolution of AI/ML research. His ability to bridge the gap between research and real-world applications positions him as a leading innovator in the field.

Professional Profile

Education

Phani Monogya Katikireddi holds a strong academic background in computer science and engineering. His education has provided him with a solid foundation in AI/ML, cloud computing, and software development. Through continuous learning and advanced coursework, he has honed his expertise in machine learning, neural networks, and DevOps methodologies. His academic journey has been instrumental in shaping his innovative approach to integrating AI/ML with DevOps.

Professional Experience

With nearly a decade of experience, Phani has worked in various roles, including Cloud AI/ML DevOps Engineer and Full Stack Developer. His work has focused on designing AI-driven solutions, automating software delivery processes, and enhancing system reliability. His contributions to cloud-native architectures and intelligent automation have improved the efficiency and scalability of enterprise applications. His technical leadership and problem-solving skills have played a pivotal role in driving innovation in the IT industry.

Research Interest

Phani’s research interests lie in AI/ML, deep learning, DevOps automation, and cloud computing. He is particularly focused on integrating AI with DevOps to enhance software development and deployment processes. His work explores predictive modeling, machine learning pipeline automation, and the impact of AI on system performance and scalability. His research aims to bridge the gap between theoretical advancements and real-world applications in enterprise IT.

Research Skills

Phani possesses strong research skills, including AI/ML algorithm development, neural network optimization, cloud infrastructure management, and DevOps automation. He is adept at conducting experimental research, data analysis, and model validation. His ability to translate research findings into practical solutions has contributed to advancements in AI-driven automation. He also has experience in publishing research papers and collaborating with industry experts to push the boundaries of AI/ML and DevOps.

Awards and Honors

Phani has received notable recognition for his contributions to AI/ML and DevOps. He holds two patents for AI/ML innovations and has authored a well-regarded book on the subject. His research papers have been published in prestigious journals, and he actively participates as an editorial board member. His expertise and contributions to the field have positioned him as a distinguished professional and innovator.

Conclusion

Phani Monogya Katikireddi is a visionary IT professional with a passion for innovation in AI/ML and DevOps. His extensive experience, research contributions, and technical expertise make him a strong candidate for recognition as a leading innovator in the field. His ability to merge academic research with practical applications has had a profound impact on software development and cloud computing. His dedication to advancing AI/ML and DevOps positions him as a key contributor to technological progress and industry transformation.

Publications Top Notes

  1. Revolutionizing DEVOPS with Quantum Computing: Accelerating CI/CD pipelines through Advanced Computational Techniques

    • Authors: PM Katikireddi, P Singirikonda, Y Vasa

    • Year: 2021

  2. Music and Art Generation Using Generative AI

    • Authors: S Jaini, PM Katikireddi

    • Year: 2022

  3. Applications of Generative AI in Healthcare

    • Authors: S Jaini, PM Katikireddi

    • Year: 2022

  4. In Generative AI: Zero-Shot and Few-Shot

    • Authors: PM Katikireddi, S Jaini

    • Year: 2022

 

Heba Abdallah | Chemical Engineering | Women Researcher Award

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Prof. Heba Abdallah | Chemical Engineering | Women Researcher Award

Professor at National Research Centre, Egypt

Heba Abdallah Mohamed Abdallah is a distinguished professor of Chemical Engineering at the National Research Centre in Cairo, Egypt. She is a leading consultant engineer specializing in the manufacturing of special membranes for water treatment processes. With over two decades of experience, she has made significant contributions to chemical engineering, particularly in membrane technology, water desalination, and wastewater treatment. Her expertise spans the production of flat sheet, spiral wound, and hollow fiber membranes, as well as catalytic membrane reactors. Heba has played a pivotal role in advancing membrane-based solutions for environmental sustainability and industrial applications. She has participated in numerous international conferences and workshops, showcasing her dedication to continuous learning and knowledge dissemination. As a prolific researcher, she has authored and co-authored several high-impact scientific publications focusing on water purification, photocatalysis, and membrane performance enhancement. Her involvement in prestigious research projects and collaborations with international institutions reflects her global influence in the field. Heba Abdallah’s contributions extend beyond research, as she actively mentors young researchers and engineers, inspiring future generations to drive technological innovations for sustainable water management.

Professional Profile

Education

Heba Abdallah holds a Ph.D. in Chemical Engineering from Cairo University, awarded in November 2010. Her doctoral research focused on the kinetics study of esterification reactions using catalytic membranes, showcasing her expertise in membrane-based chemical processes. She also earned a Master of Science (M.Sc.) in Chemical Engineering from Cairo University in December 2004. Her master’s thesis evaluated cement lining mortar for cast iron pipes, demonstrating her proficiency in material science and industrial applications. Heba’s academic journey began with a Bachelor of Science (B.Sc.) in Chemical Engineering from Cairo University, completed in May 2000. Her graduation project involved the production of methanol using a multi-tubular reactor, highlighting her early interest in industrial chemical processes. Throughout her academic career, Heba demonstrated a keen focus on engineering solutions for industrial and environmental challenges. Her solid educational foundation has been instrumental in shaping her research career, enabling her to make significant contributions to membrane technology and water treatment.

Professional Experience

Heba Abdallah has an extensive professional background in chemical engineering, with a focus on membrane technology and water treatment. Since 2021, she has been a Professor at the National Research Centre (NRC) in Cairo, Egypt, where she leads advanced research projects on membrane production and application. From 2016 to 2021, she served as an Associate Professor at the NRC, contributing significantly to research and development in water desalination and wastewater treatment. Prior to that, she was a Researcher at the NRC from 2010 to 2016, where she honed her expertise in membrane fabrication and performance enhancement. From 2006 to 2010, she worked as an Associate Researcher at the NRC, focusing on pilot-scale membrane production and testing. Earlier in her career, Heba gained industrial experience as a Research Assistant at El-Nasr Casting Company from 2001 to 2006 and as an Engineer in the same company from 2000 to 2001. Her diverse experience, combining academic research with industrial practice, has made her a recognized expert in the field of chemical engineering and membrane technology.

Research Interests

Heba Abdallah’s research interests span a wide range of chemical engineering fields, with a primary focus on membrane technology. She specializes in the production of flat sheet, spiral wound, and hollow fiber membranes for water desalination and wastewater treatment. Her work explores catalytic membrane reactors, electrodialysis, and reverse electrodialysis technologies for enhanced separation processes. Heba is also deeply involved in microreactor technology, aiming to develop efficient and sustainable chemical processes. Her research addresses environmental challenges, including the treatment of industrial effluents, removal of contaminants, and development of advanced filtration systems. She is particularly interested in the application of membrane technology in fuel cells, contributing to the development of clean energy solutions. Heba’s research also extends to the fabrication of nanocomposite membranes with enhanced antifouling and photocatalytic properties, targeting improved water purification efficiency. Her commitment to innovative research continues to drive advancements in sustainable water management and industrial membrane applications.

Research Skills

Heba Abdallah possesses a diverse set of research skills that contribute to her expertise in chemical engineering. She excels in the synthesis and fabrication of membranes, including flat sheet, spiral wound, and hollow fiber designs. Her technical proficiency extends to the development and optimization of catalytic membrane reactors for chemical processes. Heba has significant experience in water desalination technologies, including reverse osmosis and forward osmosis systems. She is skilled in the design and application of microreactors for industrial chemical reactions, enhancing process efficiency and scalability. Her analytical skills include membrane performance evaluation, fouling resistance assessment, and photocatalytic activity testing. Additionally, she is adept at using advanced characterization techniques such as scanning electron microscopy (SEM), atomic force microscopy (AFM), and X-ray diffraction (XRD) to analyze membrane morphology and composition. Heba’s expertise in wastewater treatment, membrane surface modification, and electrodialysis technologies underscores her capacity to develop innovative solutions for water purification and industrial processes.

Awards and Honors

Heba Abdallah has received numerous accolades for her contributions to chemical engineering and membrane technology. Her participation in international conferences and workshops has earned her recognition for presenting groundbreaking research on membrane applications in water treatment. She was honored for her role in the development of innovative polymeric and ceramic membranes, enhancing water purification efficiency. Heba’s collaborations with international institutions, including her training at Holykem Company in China and Alabama University in the United States, reflect her global influence. She has also been acknowledged for her contributions to scientific innovation through her involvement in the Cairo International Exhibition of Innovation. Her membership in the Egyptian National Network in Nanotechnology highlights her commitment to advancing nanotechnology applications in membrane science. Heba’s continuous pursuit of excellence and her impactful contributions to sustainable water management have positioned her as a leading figure in the field of chemical engineering.

Conclusion

Heba Abdallah is a prominent figure in chemical engineering, recognized for her expertise in membrane technology and water treatment. With a strong academic background, extensive research experience, and a passion for innovation, she has made significant contributions to sustainable water management and industrial chemical processes. Her work on advanced membrane fabrication, water desalination, and wastewater treatment has been widely acclaimed in scientific communities. Heba’s commitment to knowledge dissemination is evident through her participation in international conferences and her numerous publications in high-impact journals. Her influence extends beyond research, as she actively mentors and collaborates with other scientists to drive technological advancements. Heba Abdallah’s dedication to developing efficient and eco-friendly membrane technologies continues to play a vital role in addressing global water challenges and promoting sustainable industrial practices.

Publications Top Notes

  1. The Use of Green Synthesized TiO2/MnO2 Nanoparticles in Solar Power Membranes for Pulp and Paper Industry Wastewater Treatment

    • Authors: S.A. Mousa, Sahar A.; H.M. Abdallah, Heba Mohamed; S.A. Khairy, Sherif A.
    • Year: 2025

  2. Modification of Blend Reverse Osmosis Membranes Using ZrO2 for Desalination Process Purposes

    • Authors: S.O. Alaswad, Saleh O.; E.S. Mansor, Eman S.; H.M. Abdallah, Heba Mohamed; A.M.H. Shaban, Ahmed Mahmoud H.
    • Year: 2025

  3. Integrated System of Reverse Osmosis and Forward Pressure-Assisted Osmosis from ZrO2 Base Polymer Membranes for Desalination Technology

    • Authors: S.O. Alaswad, Saleh O.; H.M. Abdallah, Heba Mohamed; E.S. Mansor, Eman S.
    • Year: 2024

  4. Fabrication and Assessment of Performance of Clay-Based Ceramic Membranes Impregnated with CNTs in Dye Removal

    • Authors: K.H. Hamad, Kareem H.; H.M. Abdallah, Heba Mohamed; S.T. Aly, Sohair T.; R.M. Abobeah, Reda M.; S.K. Amin, Sh K.
    • Year: 2024

  5. High-Performance Metal-Organic Frameworks for Efficient Adsorption, Controlled Release, and Membrane Separation of Organophosphate Pesticides

    • Authors: A.M. Ashraf, Abdallah M.; M.H. Khedr, Mohamed Hamdy; A.A. Farghali, Ahmed A.; H.M. Abdallah, Heba Mohamed; M. Taha, Mohamed
    • Year: 2024
    • Citations: 4

  6. Integrated Membranes System for Water Application in Microbiology/Molecular Biology

    • Authors: H.M. Abdallah, Heba Mohamed; D.N. Abd-Elshafy, Dina Nadeem; M.S. Shalaby, Marwa Saied; A.M.H. Shaban, Ahmed Mahmoud H.; M.M. Bahgat, Mahmoud Mohamed
    • Year: 2024

  7. The Role of Membrane Filtration in Wastewater Treatment

    • Authors: E.S. Mansor, Eman S.; H.M. Abdallah, Heba Mohamed; A.M.H. Shaban, Ahmed Mahmoud H.
    • Year: 2024
    • Citations: 1

  8. Production of Disinfective Coating Layer to Facial Masks Supplemented with Camellia sinensis Extract

    • Authors: D.N. Abd-Elshafy, Dina Nadeem; H.M. Abdallah, Heba Mohamed; R. Nadeem, Rola; A.M.H. Shaban, Ahmed Mahmoud H.; M.M. Bahgat, Mahmoud Mohamed
    • Year: 2024

  9. Highly Effective Ultrafiltration Membranes Based on Plastic Waste for Dye Removal from Water

    • Authors: E.S. Mansor, Eman S.; H.M. Abdallah, Heba Mohamed; A.M.H. Shaban, Ahmed Mahmoud H.
    • Year: 2024
    • Citations: 4

  10. Parameters Affecting Synthesis of Sulfonated Chitosan Membrane for Proton Exchange Membrane in Fuel Cells

  • Authors: S.G. Abd-Elnaeem, Sara G.; A.I. Hafez, Azza Ibrahim; K.M. El‑khatib, Kamel M.; M.K. Fouad, Mai Kamal; E.F. Abadir, Ehab Fouad
  • Year: 2024
  • Citations: 1

Yuxin Ma | Engineering | Best Researcher Award

Posted on by ScienceFather

Mr. Yuxin Ma | Engineering | Best Researcher Award

Master Degree Candidate at Shanghai Dianji University, China

Ma Yuxin is an emerging researcher in Electrical Engineering, currently pursuing a Master’s degree at Shanghai Dianji University. With a strong academic background and research focus on Permanent Magnet Synchronous Motor (PMSM) control, Ma has already contributed three research papers to international conferences and journals. Recognized for academic excellence, innovation, and technical proficiency, Ma has received multiple scholarships and awards, including the Shanghai “Science and Technology Star of Tomorrow” Creative Award. Alongside research, Ma has practical experience through an internship at Shanghai Electric Fuji Electric Power Technology Co., Ltd., where they are engaged in PMSM sensorless full-speed control projects. Proficient in MATLAB, AD, PSIM, and Keil, Ma has also earned a Siemens NX CAD Engineer Intermediate Qualification. These achievements reflect a commitment to advancing electrical engineering technologies through both theoretical and practical applications.

Professional Profile

Education

Ma Yuxin completed a Bachelor’s degree in Electrical Engineering from Shanghai Dianji University (2018-2022) with outstanding academic performance, earning multiple university scholarships. Currently, Ma is pursuing a Master’s degree in Electrical Engineering at the same institution (2023-present). During undergraduate studies, Ma actively participated in innovation and entrepreneurship projects, winning recognition for contributions to scientific research. The master’s research focuses on PMSM speed control, leading to three published papers in reputable journals and conferences. Academic achievements also include certification as a Siemens NX CAD Engineer and recognition in the Challenge Cup Shanghai University Science and Technology Competition. These educational experiences have provided a strong foundation in theoretical knowledge, research methodologies, and practical applications, preparing Ma for further advancements in electrical engineering research and development.

Professional Experience

Ma Yuxin is currently working as a Technical Research and Development Engineer at Shanghai Electric Fuji Electric Power Technology Co., Ltd. (2024-2025). This role involves conducting research and development on PMSM sensorless full-speed control projects and software testing experiments. During this position, Ma has gained hands-on experience in electrical system simulation, motor control optimization, and embedded system programming. Additionally, Ma’s university years included participation in competitive engineering projects and industry-relevant training programs, reinforcing both practical and theoretical expertise. This experience, combined with academic research, enables Ma to bridge the gap between academia and industry by applying research insights to real-world engineering challenges. The combination of research and industry exposure highlights Ma’s capability to innovate within electrical engineering and contribute to advancements in motor control technologies.

Research Interests

Ma Yuxin’s primary research interests lie in Permanent Magnet Synchronous Motor (PMSM) speed control, with a focus on sensorless full-speed control optimization. Other areas of interest include power electronics, motor drive systems, embedded control systems, and intelligent motor control using AI-based algorithms. Ma is also keen on exploring advanced control strategies for electric vehicles (EVs), renewable energy applications, and industrial automation. The integration of machine learning with motor control to enhance efficiency, reliability, and fault diagnosis is another potential research direction. By combining theoretical knowledge with experimental validation, Ma aims to contribute to the development of more efficient, robust, and cost-effective electrical motor control systems. These interests align with emerging trends in smart grid technologies, automation, and energy-efficient electrical systems, positioning Ma as a promising researcher in modern electrical engineering applications.

Research Skills

Ma Yuxin possesses strong research skills in electrical system modeling, simulation, and motor control algorithm development. Proficient in using MATLAB, PSIM, AD, and Keil for electrical simulations and control system design, Ma also has experience with embedded programming and software testing. Expertise extends to hardware implementation and real-time testing of PMSM control systems, ensuring research findings are practically applicable. Additionally, Ma is skilled in scientific writing and publishing, having successfully authored and published three research papers in reputable journals and conferences. Knowledge of data analysis, experimental design, and optimization techniques further strengthens Ma’s ability to conduct impactful research. These research skills, coupled with technical proficiency, provide a solid foundation for continued contributions to the field of electrical engineering and motor control technology.

Awards and Honors

Ma Yuxin has received numerous awards and honors for academic excellence, innovation, and research contributions. During undergraduate studies, Ma was recognized as an Outstanding Graduate of Shanghai and awarded multiple university scholarships for both academic performance and practical achievements. Additionally, Ma won the Creative Award in the 18th Shanghai “Science and Technology Star of Tomorrow” selection activity, highlighting innovation in scientific research. Another significant achievement includes securing second prize in the 17th “Challenge Cup” Shanghai University Science and Technology Competition, showcasing strong problem-solving and research capabilities. Further honors include the Siemens NX CAD Engineer Intermediate Qualification Certificate, demonstrating technical expertise. These achievements reflect Ma’s commitment to excellence in research, technical skill development, and innovative problem-solving, reinforcing their suitability for prestigious research awards.

Conclusion

Ma Yuxin is a promising researcher in electrical engineering, demonstrating strong academic performance, research productivity, and technical expertise. With three research papers published, awards in innovation competitions, and hands-on experience in PMSM control projects, Ma has a solid foundation for continued contributions to the field. However, further research in high-impact journals, international collaborations, and patent applications would strengthen the case for prestigious research awards. Participation in conferences, industrial projects, and interdisciplinary research could also enhance visibility in the academic community. Given Ma’s current trajectory, continued growth in these areas will position them as a leading researcher in electrical motor control and automation technologies.

Publications Top Notes

  1. Publication: Speed Control of PMSM Based on Series Lead Correction Doubly Fed Differential LADRC

    • Authors: Yuxin Ma
    • Year: 2025

  2. Publication: Research on PMSM Speed Control Based on Improved Super-Twisting Sliding Mode Active Disturbance Rejection Control

    • Authors: Yuxin Ma, Ziqi Lei, Pingping Gu, Xinpeng Feng, Wei Zhang, Chaohui Zhao
    • Year: 2024