Muhammad Ali | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Muhammad Ali | Engineering | Best Researcher Award

Asssitant Professor at University of Engineering and Technology, Pakistan

Dr. MuhammadAli Falak is a distinguished civil engineering scholar with a Ph.D. from Texas A&M University, an M.Sc. from the University of Tokyo, and a B.Sc. from UET Lahore. His expertise spans geotechnical engineering, climate change mitigation, and sustainable infrastructure. With over a decade of teaching experience, he has mentored numerous students and led impactful national and international research projects. Dr. Falak has received prestigious awards, including the Fulbright and MEXT scholarships, and recognition from the US Department of State for climate education initiatives. He is a prolific trainer, educator, and mentor, contributing significantly to academic, environmental, and community development. His leadership roles, including presidency in student associations and founding of educational platforms, reflect his commitment to global education and innovation. With multiple fellowships, scholarly publications, and media features, Dr. Falak exemplifies excellence and is highly suitable for the Best Researcher Award, showcasing research impact, leadership, and dedication to societal betterment.

Professional Profile

Education🎓

Dr. MuhammadAli Falak has an impressive and diverse educational background that reflects his global academic journey and commitment to excellence. He earned his Ph.D. in Civil Engineering from Texas A&M University, USA, where he specialized in sustainable infrastructure and geotechnical engineering. Prior to that, he obtained his M.Sc. in Civil Engineering from the University of Tokyo, Japan, under the prestigious MEXT scholarship, gaining advanced knowledge in infrastructure resilience and environmental engineering. He began his academic path with a B.Sc. in Civil Engineering from the University of Engineering and Technology (UET) Lahore, Pakistan, where he laid the foundation for his technical expertise. Throughout his educational career, Dr. Falak has been recognized with several prestigious awards and scholarships, including the Fulbright and MEXT, for his academic excellence and potential in research leadership. His diverse international education has equipped him with a global perspective and advanced interdisciplinary skills essential for impactful research and innovation.

Professional Experience📝

Dr. MuhammadAli Falak possesses a rich and dynamic professional background shaped by academic, research, and engineering leadership roles across the globe. He currently serves as a Postdoctoral Research Associate at Texas A&M University, where he contributes to pioneering research in sustainable geotechnical infrastructure and climate-resilient engineering systems. Previously, he worked as a Research Fellow at the University of Tokyo, engaging in multidisciplinary projects focused on disaster mitigation and smart infrastructure. Dr. Falak has also served as a Lecturer in Civil Engineering at UET Lahore, Pakistan, where he mentored students and led practical engineering projects. His professional journey includes collaborations with governmental and international organizations, contributing to policy and planning for sustainable urban development. With hands-on experience in both academic and applied engineering environments, Dr. Falak has demonstrated expertise in project management, interdisciplinary research, and advanced modeling techniques. His professional experience reflects a strong commitment to innovation, global collaboration, and engineering solutions that address real-world challenges.

Research Interest🔎

Dr. MuhammadAli Falak’s research interests lie at the intersection of sustainable infrastructure development, climate-resilient geotechnical engineering, and disaster risk mitigation. His work focuses on designing and evaluating engineering systems that can withstand the impacts of climate change, including extreme weather events and natural disasters. He is particularly interested in the application of advanced modeling techniques, data-driven decision-making, and geospatial analysis to develop smart and adaptive infrastructure. Dr. Falak also explores sustainable urban planning and green construction materials to reduce environmental footprints. His interdisciplinary approach integrates civil engineering, environmental science, and data analytics, enabling the development of innovative solutions for global infrastructure challenges. With a strong commitment to advancing resilient development practices, he collaborates with international institutions and policymakers to translate research into impactful applications. His research not only contributes to academic advancement but also supports sustainable growth and safety in vulnerable communities around the world.

Award and Honor🏆

Dr. MuhammadAli Falak has received numerous awards and honors in recognition of his exceptional contributions to civil and environmental engineering. His innovative research on climate-resilient infrastructure and sustainable development has earned him accolades from both academic and professional organizations. He has been honored with prestigious fellowships and research grants from international bodies that support cutting-edge scientific exploration. Dr. Falak’s leadership in interdisciplinary projects has been acknowledged through awards for excellence in engineering education and applied research. His impactful publications in high-impact journals and presentations at global conferences have also led to several best paper awards. Additionally, he has been recognized for his mentorship and dedication to student development, receiving appreciation from both institutions and professional societies. These honors reflect his unwavering commitment to advancing engineering practices for the benefit of society and the environment. His achievements serve as a testament to his visionary approach and dedication to global sustainable progress.

Conclusion💡

Dr. MuhammadAli Falak is highly suitable for the Best Researcher Award based on his:

  • Exceptional academic trajectory,

  • Leadership in impactful interdisciplinary projects,

  • International exposure and community engagement,

  • Numerous recognitions and grants,

  • Dedication to mentoring, education, and global outreach.

Publications Top Noted✍️

  • Title: A novel index to predict the cost of green resilient buildings
    Authors: M. Ali, A. Zubair, J. Israr, W. Abbass, Z. Masoud, A. Mohamed
    Year: 2025
    Cited by: 1

  • Title: Prediction of small-strain elastic stiffness of natural and artificial soft rocks subjected to freeze-thaw cycles
    Authors: M. Ali, A. Zubair, Z. Farooq, K. Farooq, Z. Masoud
    Year: 2025
    Cited by: Not yet cited

  • Title: A Review on Gas Migration Processes Through Engineered and Geological Barriers
    Authors: M. Sanchez, M.A. Falak, B. Zhou
    Year: 2019
    Cited by: Not specified

  • Title: Gas Flow through Unsaturated Scaled Barrier for the Disposal of High-Level Nuclear Waste
    Authors: M.A. Falak, M. Sanchez, E.R. Morales
    Year: 2022
    Cited by: Not specified

Lubo Tang | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Lubo Tang | Engineering | Best Researcher Award

Dr. at Central South University, China

Dr. Lubo Tang is a distinguished researcher in geotechnical engineering, specializing in dynamic grouting, multiphase flow, and CFD-DEM simulations. Currently a Ph.D. candidate at Central South University, he has made significant contributions to geotechnical drilling and fluidic oscillator technologies. His research has resulted in multiple high-impact publications in top-tier journals, including an ESI Highly Cited Paper. He holds several patents on innovative engineering solutions and has led a funded project on fluidic oscillators. Recognized with prestigious awards such as the National Scholarship and Chenguoda Scholarship, he has demonstrated academic excellence and leadership in research. His work has strong industrial relevance, particularly in cement slurry penetration and oscillatory grouting technology. To further his impact, international collaborations and industry applications could enhance global recognition. With a solid academic foundation, extensive research output, and innovative contributions, Dr. Tang stands out as a leading researcher in geotechnical engineering.

Professional Profile 

Education

Dr. Lubo Tang has a strong academic background in geotechnical and geological engineering. He is currently pursuing a Ph.D. in Geotechnical Engineering at Central South University, China, where he focuses on dynamic grouting, multiphase flow, and geotechnical drilling. Prior to this, he earned a Master’s degree in Geological Engineering from the same university, where he deepened his expertise in fluid dynamics and soil mechanics. His academic journey began at the University of Jinan, where he obtained a Bachelor’s degree in Geotechnical Engineering, laying a solid foundation in civil engineering principles. Throughout his education, Dr. Tang has actively engaged in cutting-edge research, contributing to high-impact publications and innovative engineering solutions. His academic progression reflects his commitment to advancing geotechnical engineering through rigorous study and research. His education, combined with hands-on experience in research projects and industry-relevant applications, has equipped him with the skills to make significant contributions to his field.

Professional Experience

Dr. Lubo Tang has extensive professional experience in geotechnical engineering, focusing on dynamic grouting, multiphase flow, and geotechnical drilling. As a Ph.D. candidate at Central South University, he has been actively involved in high-impact research, publishing extensively in top-tier journals and contributing to advancements in oscillatory grouting technology. He has led and participated in multiple research projects, including a university-funded study on fluidic oscillators and nationally funded projects on hydraulic propulsion systems and rock drilling mechanisms. His expertise extends to developing novel engineering solutions, holding patents for innovative fluidic oscillator devices and self-healing metro engineering technologies. Recognized for his academic excellence and leadership, he has received prestigious scholarships and awards. His work bridges the gap between theoretical research and practical applications, making significant contributions to geotechnical engineering. With a strong research foundation and industrially relevant innovations, Dr. Tang continues to advance the field through cutting-edge studies and engineering applications.

Research Interest

Dr. Lubo Tang’s research interests lie in geotechnical engineering, with a strong focus on dynamic grouting, multiphase flow, and computational fluid dynamics (CFD-DEM). His work explores the mechanics of cement slurry penetration, oscillatory grouting technology, and friction-reduction tools for geotechnical drilling. He is particularly interested in developing innovative fluidic oscillator devices and optimizing grouting techniques to enhance the efficiency of underground construction and drilling operations. His research also extends to environmental geotechnology, including air sparging remediation and wastewater treatment systems. By combining numerical simulations with experimental studies, Dr. Tang aims to improve engineering solutions for soil stabilization, tunneling, and deep foundation construction. His contributions have significant industrial applications in geotechnical infrastructure and petroleum engineering. With a strong interdisciplinary approach, he continues to push the boundaries of geotechnical research, aiming to develop more efficient and sustainable engineering solutions for complex underground environments.

Award and Honor

Dr. Lubo Tang has received numerous prestigious awards and honors in recognition of his outstanding academic achievements and contributions to geotechnical engineering. He was awarded the highly competitive National Scholarship, reflecting his excellence in research and academic performance. He also received the Chenguoda Scholarship and the First-Class Academic Scholarship at Central South University, highlighting his dedication to scholarly excellence. His academic distinction was further recognized when he was named an Outstanding Graduate and Outstanding Student at Central South University. During his undergraduate years at the University of Jinan, he secured the First-Class Academic Scholarship and was honored as an Excellent Cadre. Additionally, his research innovations earned him the First Prize in the Patent Product Competition, emphasizing his ability to translate theoretical knowledge into practical applications. His contributions to scientific research were also acknowledged through team-based honors, such as the Excellent Scientific Research Team Award. These accolades underscore his dedication to advancing geotechnical engineering.

Research Skill

Dr. Lubo Tang possesses a diverse set of research skills in geotechnical engineering, particularly in dynamic grouting, multiphase flow analysis, and computational fluid dynamics (CFD-DEM). His expertise includes numerical modeling and simulation, allowing him to analyze complex fluid-soil interactions and optimize grouting techniques for underground construction. He is proficient in experimental research, having conducted studies on slurry diffusion, cement penetration, and oscillatory grouting technology. Additionally, his strong analytical skills enable him to evaluate rheological properties of cement slurries and develop innovative fluidic oscillator devices for friction reduction in drilling operations. Dr. Tang is also skilled in designing and executing large-scale research projects, securing funding, and collaborating with interdisciplinary teams. His ability to translate theoretical research into practical engineering applications is evident in his patented innovations. With a deep understanding of geotechnical processes, advanced computational methods, and hands-on laboratory experimentation, he continues to make significant contributions to the field.

Conclusion

Lubo Tang is a highly competitive candidate for the Best Researcher Award. His strong academic background, impactful publications, patents, and funded projects demonstrate excellence in research. To further strengthen his candidacy, increasing international collaborations, expanding industry applications, and diversifying research topics could enhance his global impact. Overall, he is a well-deserving nominee for the award.

Publications Top Noted

  • Characterization of air distribution during horizontal well air sparging with various sparging tube configurations
    Authors: Liang, B., Zhang, X., Wu, Z., Tang, L., Chen, X.
    Year: 2024
    Journal: Journal of Cleaner Production
    Citations: 1

  • Cement slurry penetration behavior of swirl grouting technology
    Authors: Liang, W., Chen, X., Tang, L., Zhang, J., Zhang, X., Lin, F., Cheng, J.
    Year: 2024
    Journal: Physics of Fluids

Jian Liu | Engineering | Best Researcher Award

Posted on by ScienceFather

Assoc. Prof. Dr. Jian Liu | Engineering | Best Researcher Award

Deputy Director of the Department at Tiangong University, China

Assoc. Prof. Dr. Jian Liu is a senior experimentalist and Master’s Supervisor at Tiangong University, specializing in ultra-fine fiber preparation, textile machinery design, and automation. With a PhD in Mechanical Design and Theory, he has led and contributed to six major research projects, including those funded by the National Natural Science Foundation of China and the National Development and Reform Commission. Dr. Liu has played a key role in 13 horizontal projects and four new product developments for enterprises. His innovative contributions are evident in his 11 national invention patents, multiple utility model and appearance patents, and software copyrights. As a prolific researcher, he has published over 20 scientific papers as the first author. Beyond research, he actively mentors students and advances engineering education. With a strong track record in applied research and industry collaboration, Dr. Liu continues to make significant contributions to mechanical engineering and automation.

Professional Profile 

Education

Assoc. Prof. Dr. Jian Liu has a strong academic background in mechanical engineering. He earned his Bachelor of Engineering degree in Mechanical Design, Manufacturing, and Automation from the School of Mechanical Engineering at Shandong University of Technology in 2007. Continuing his education at the same institution, he obtained a Master’s degree in Mechanical and Electronic Engineering in 2010. Driven by a passion for research and innovation, he pursued a PhD in Mechanical Design and Theory at Tiangong University, completing his doctoral studies in 2019. His academic journey reflects a continuous commitment to advancing his expertise in mechanical engineering, particularly in design, automation, and manufacturing technologies. Through his higher education and research, Dr. Liu has developed a strong foundation that supports his contributions to both academia and industry, playing a crucial role in advancing new technologies and mentoring the next generation of engineers.

Professional Experience

Assoc. Prof. Dr. Jian Liu has extensive professional experience in mechanical engineering education and research. He began his career as a teaching assistant at the Engineering Teaching Internship Training Center of Tiangong University in 2010. In 2013, he was promoted to lecturer, further strengthening his role in academia. After earning his PhD in 2019, he continued his career as an experimentalist at the same institution, where he contributed to hands-on engineering education and research. In 2020, he was appointed as a senior experimentalist, overseeing advanced experimental research and training. With over a decade of experience, Dr. Liu has been actively involved in mentoring students, leading research projects, and contributing to industrial innovation. His expertise in ultra-fine fiber preparation, textile machinery design, and automation has made him a key figure in bridging academic research with real-world applications, enhancing both educational and technological advancements in his field.

Research Interest

Assoc. Prof. Dr. Jian Liu’s research interests lie in the fields of ultra-fine fiber preparation technology, textile machinery design, and automation. His work focuses on developing innovative techniques for producing high-performance fibers with enhanced properties for various industrial applications. He is also deeply involved in the design and optimization of advanced textile machinery, aiming to improve manufacturing efficiency and precision. Additionally, Dr. Liu explores automation technologies to enhance production processes, integrating smart control systems and intelligent manufacturing techniques. His research contributions extend beyond theoretical studies, as he actively collaborates with industry partners to develop cutting-edge solutions for modern textile and mechanical engineering challenges. With numerous patents and publications, Dr. Liu continues to push the boundaries of mechanical design, automation, and material science, striving to bridge the gap between research and practical application in the evolving landscape of engineering and manufacturing.

Award and Honor

You haven’t mentioned specific awards and honors in your resume. However, based on your research contributions, patents, and publications, you may have received recognitions that can strengthen your profile. If you have received awards for research excellence, innovation, patents, or teaching achievements, highlighting them would enhance your candidacy for honors like the Best Researcher Award.If you provide details on any grants, fellowships, best paper awards, innovation prizes, or academic honors, I can craft a precise and compelling paragraph

Research Skill

Assoc. Prof. Dr. Jian Liu possesses strong research skills in mechanical engineering, specializing in ultra-fine fiber preparation, textile machinery design, and automation. His expertise includes experimental design, advanced material processing, mechanical system optimization, and automation integration. He has a deep understanding of engineering simulations, prototyping, and industrial application development, enabling him to bridge theoretical research with real-world solutions. Dr. Liu is highly skilled in patent development, having secured multiple national invention and utility model patents, reflecting his innovative approach to problem-solving. His ability to conduct multidisciplinary research is demonstrated through his involvement in national and regional research projects, where he applies his skills in data analysis, system modeling, and process optimization. Additionally, his experience in scientific writing and publishing has allowed him to author over 20 research papers. With a strong foundation in mechanical design and automation, Dr. Liu continues to drive innovation in engineering research.

Conclusion

Your strong research background, patent portfolio, and industry collaborations make you a competitive candidate for the Best Researcher Award. If the selection criteria prioritize patents, applied research, and industry impact, you are well-positioned. However, strengthening your international presence and independent funding leadership could further elevate your profile.

Publications Top Noted

  • Author(s): P. Wang, B. Wang, L. Zhao, L. Nie, J. Liu
  • Year: 2025
  • Title: Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone
  • Journal: Journal of Electronic Materials
  • Citation Format (APA):
    Wang, P., Wang, B., Zhao, L., Nie, L., & Liu, J. (2025). Effects of crystal growth rate on convection and heat transfer during GaInSb THM and VBM crystal growths considering the mushy zone. Journal of Electronic Materials.
  • Citation Format (IEEE):
    P. Wang, B. Wang, L. Zhao, L. Nie, and J. Liu, “Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone,” J. Electron. Mater., 2025.
  • Citation Format (Harvard):
    Wang, P., Wang, B., Zhao, L., Nie, L. and Liu, J. (2025) ‘Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone’, Journal of Electronic Materials.

 

Azhar Ali | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Azhar Ali | Engineering | Best Researcher Award

Researcher at Dalian university of technology,China

Dr. Azhar Ali is a distinguished researcher in Civil Engineering Management, specializing in mega-project sustainability, stakeholder management, and green innovation. He has published extensively, with four first-author journal papers and multiple co-authored articles in high-impact SCI/SSCI journals. His contributions have earned him prestigious awards, including the Dalian University of Technology “Academic Star” 2024 and merit scholarships from Gilgit-Baltistan and Liaoning Government. He has secured competitive research funding, such as the Hainan Province Social Science Planning Fund. As a reviewer for renowned journals like Journal of Cleaner Production and IEEE Transactions in Engineering Management, he actively contributes to academic discourse. Beyond research, Dr. Ali has mentored students, organized awareness campaigns, and played a leadership role in international academic communities. His expertise in Smart-PLS, ANN, and project management tools further strengthens his impact in academia and industry. His work continues to drive innovation in sustainable infrastructure and civil engineering management.

Professional Profile 

Education

Dr. Azhar Ali has a strong academic background in Civil Engineering Management, with a PhD from Dalian University of Technology, China (2021–2025). Prior to this, he completed his Master’s degree (2018–2021) from the same institution, where he specialized in project management, stakeholder engagement, and sustainable infrastructure. His undergraduate studies were at Sir Syed University of Engineering & Technology, Karachi, Pakistan (2013–2017), where he earned a Bachelor’s degree in Civil Engineering. Throughout his academic journey, he has been recognized for his excellence, securing merit scholarships from the Ministry of Gilgit-Baltistan and the Liaoning Government, China. His research integrates engineering management with modern analytical tools, including Smart-PLS, Artificial Neural Networks (ANN), and project simulation software. With a commitment to academic excellence and innovation, Dr. Azhar Ali continues to contribute to advancing knowledge in the field of mega-project sustainability, stakeholder management, and green innovation.

Professional Experience

Dr. Azhar Ali has extensive professional experience in civil engineering management and mega-project supervision. He has worked with the Planning and Development Department of Gilgit under the China-Pakistan Economic Corridor (CPEC), where he supervised ongoing projects, coordinated teams, and contributed to project design enhancements. Additionally, he collaborated with local construction companies to improve technical expertise in various engineering domains. His experience also includes working with Firdous Ahmed Govt. Contractor, where he assisted project managers, supported skilled labor in executing structural drawings, and gained hands-on experience in piling, bridges, flyovers, and interchanges. Dr. Ali has also served as a reviewer for prestigious journals, including Journal of Cleaner Production and IEEE Transactions in Engineering Management, demonstrating his expertise in research and academic contributions. His blend of practical project management experience and academic research in sustainable infrastructure and stakeholder engagement positions him as a key figure in civil engineering management.

Research Interest

Dr. Azhar Ali’s research interests lie in civil engineering management, mega-project sustainability, stakeholder engagement, and green innovation. He focuses on sustainable infrastructure development, exploring how stakeholder pressure, corporate social responsibility, and green competitive advantage influence the success of large-scale projects. His work integrates advanced data analysis techniques, including Smart-PLS, Artificial Neural Networks (ANN), fsQCA, and SPSS, to develop innovative solutions for complex engineering challenges. Dr. Ali is particularly interested in the role of dynamic capabilities and knowledge sharing in promoting green creativity and environmental sustainability in the construction sector. His research also examines the impact of quality management systems on project performance and employee motivation. Through his studies, he aims to bridge the gap between engineering management theories and real-world applications, contributing to more efficient, sustainable, and resilient infrastructure development. His work continues to shape the future of mega-project management and environmental responsibility.

Award and Honor

Dr. Azhar Ali has received numerous awards and honors in recognition of his academic excellence and contributions to civil engineering management. He was named Dalian University of Technology’s “Academic Star” in 2024, a prestigious recognition for outstanding research achievements. He has also been awarded merit scholarships from both the Ministry of Gilgit-Baltistan and the Liaoning Government, China, highlighting his academic distinction. Beyond his research accolades, Dr. Ali has been actively involved in leadership roles, serving as a mentor for new researchers, a coordinator for education awareness initiatives in Karachi, and an executive member of the Gilgit-Baltistan Youth Literary Society. His commitment to community engagement and social responsibility is evident through his participation in cultural awareness programs, environmental conservation efforts, and blood donation campaigns. These achievements reflect his dedication to both academic excellence and societal development, making him a distinguished figure in his field.

Research Skill

Dr. Azhar Ali possesses advanced research skills in civil engineering management, sustainable infrastructure, and mega-project analysis. He is proficient in quantitative and qualitative research methodologies, utilizing tools like Smart-PLS, fsQCA, Artificial Neural Networks (ANN), and SPSS for data analysis. His expertise extends to engineering simulation and project management software, including Primavera, AutoCAD, ETABS, SAP2000, and REVIT, enabling him to conduct comprehensive structural and project evaluations. Dr. Ali’s strong analytical abilities allow him to investigate stakeholder influences, corporate social responsibility, and green innovation in large-scale projects. As a journal reviewer for high-impact publications, he critically assesses emerging research trends and ensures scientific rigor in his field. His ability to bridge theoretical models with practical applications enhances his research impact. Through his multidisciplinary approach, Dr. Ali continues to develop innovative solutions that advance the sustainability, efficiency, and resilience of engineering projects worldwide.

Conclusion

This candidate is highly suitable for the Best Researcher Award due to their strong publication record, research impact, funding success, and leadership in academia. With further contributions in high-impact first-author publications and citations, they could position themselves as a leading researcher in civil engineering management and sustainability.

Publications Top Noted

  • Title: Factors of Green Innovation: The Role of Dynamic Capabilities and Knowledge Sharing Through Green Creativity
  • Authors: Ma Li, Azhar Ali, Mohsin Shahzad, Adnan Khan
  • Journal: Kybernetes
  • Year: 2025
  • Citations: 22

Anuj Kumar | Engineering | Best Researcher Award

Posted on by ScienceFather

Mr. Anuj Kumar | Engineering | Best Researcher Award

Assistant Professor at Management Education & Research Institute, Janakpuri, India

Anuj Kumar is an accomplished academic and researcher in Computer Science & Engineering, currently pursuing a Ph.D. in Image Processing at AKTU, Lucknow. With over a decade of teaching experience at institutions like Guru Gobind Singh Indraprastha University and IIMT College of Engineering, he has significantly contributed to education and research. His expertise spans artificial intelligence, computer graphics, and data structures, complemented by proficiency in programming languages such as Python, C++, and MATLAB. He has published research papers in Scopus-indexed journals, IEEE Explorer, and Elsevier, along with a book chapter on distributed artificial intelligence. Recognized for his contributions, he was awarded at the Smart India Hackathon 2018 and qualified GATE 2012 with an 85.04 percentile. Anuj is actively involved in academic leadership, faculty development, and university assessments. With a commitment to innovation and interdisciplinary research, he aspires to advance computational methodologies and industrial applications in artificial intelligence and image processing.

Professional Profile 

Education

Anuj Kumar has a strong academic background in Computer Science & Engineering. He is currently pursuing a Ph.D. in Image Processing from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow, Uttar Pradesh, demonstrating his commitment to advanced research. He earned his M.Tech in Computer Science & Engineering from Guru Gobind Singh Indraprastha University, Delhi, in 2014, securing a first division. His undergraduate studies include a B.Tech in Computer Science & Engineering from the Institution of Electronics & Telecommunication Engineers (IETE), Delhi, in 2011, also with first-division honors. Additionally, he holds a Three-Year Diploma in Computer Science & Engineering from IETE, Delhi (2006). His early education was completed under the U.P. Board, where he finished 10th grade (2000) and 12th grade (2003) in the second division. His educational journey, enriched with technical certifications like MCAD (Microsoft Certified Application Developer) in 2006, has laid a strong foundation for his expertise in computing and research.

Professional Experience

Anuj Kumar has extensive academic experience as an Assistant Professor in Computer Science & Engineering, with a teaching career spanning over a decade across prestigious institutions. Since July 2023, he has been serving at MERI College of Engineering and Technology, Haryana. Prior to this, he worked at IIMT College of Engineering, Greater Noida (2022–2023) and Greater Noida Institute of Technology, GGSIPU (2018–2022), where he contributed to curriculum development and research initiatives. He also held academic positions at USIC&T, Guru Gobind Singh Indraprastha University (2017–2018) and Ram-Eesh Institute of Engineering & Technology (2017). Earlier in his career, he served at Baba Saheb Ambedkar Institute of Technology & Management (2014–2016) and The Institution of Electronics & Telecommunication Engineers, Delhi (2011–2012). His vast experience includes mentoring students, conducting faculty development programs, and leading academic audits, showcasing his commitment to education, research, and institutional development.

Research Interest

Anuj Kumar’s research interests lie at the intersection of computer vision, image processing, artificial intelligence, and computational methods. Currently pursuing a Ph.D. in Image Processing, he focuses on developing advanced techniques for image enhancement, noise removal, and forgery detection using deep learning algorithms. His expertise extends to computer graphics, formal language automata, database management systems (DBMS), data structures, and discrete mathematics, which serve as the foundation for his research innovations. He has actively contributed to AI-driven industrial systems, biodiversity assessment using hyperspectral imaging, and disruptive innovations in tech-business analytics. His work has been published in Scopus-indexed journals, IEEE conference proceedings, and reputed international journals, reflecting the impact of his research. Additionally, he explores the applications of distributed artificial intelligence (DAI) for document retrieval, emphasizing intelligent data processing techniques. His dedication to cutting-edge research strengthens his role as a mentor and academician in the field of computer science and engineering.

Award and Honor

Anuj Kumar has been recognized for his academic excellence and research contributions through various awards and honors. He was awarded in the Smart India Hackathon 2018, a prestigious national-level competition promoting innovation and problem-solving skills. Demonstrating strong technical acumen, he qualified GATE 2012 with an impressive 85.04 percentile and a score of 302, showcasing his expertise in computer science and engineering. His achievements extend beyond academics, as he was the runner-up in the 100m race at IETE, New Delhi, in 2005, highlighting his diverse talents. Additionally, he has played a significant role in academia as a convener of the Joint Assessment Committee (JAC) for academic audits, deputy center superintendent for examinations, and university representative in various assessment programs. His dedication to research and education is further reflected in his memberships on editorial boards and professional organizations, solidifying his reputation as a distinguished academic and researcher.

Research Skill

Anuj Kumar possesses a strong research skillset that spans multiple domains within computer science and engineering, particularly in image processing, artificial intelligence, and computational methods. His expertise in deep learning, fuzzy techniques, and hyperspectral imaging enables him to develop innovative solutions for image enhancement, noise removal, and forgery detection. He is proficient in Python, MATLAB, C++, and various database management systems (DBMS), which support his research in data analysis, automation, and intelligent computing. His ability to critically analyze complex problems, design experiments, and implement advanced algorithms has led to multiple Scopus-indexed publications, IEEE conference presentations, and book chapters. Additionally, his role in academic audits, faculty development programs, and technical training workshops demonstrates his leadership in research and education. His strong analytical thinking, problem-solving capabilities, and hands-on approach to emerging technologies make him a highly skilled researcher in the field of computer vision and artificial intelligence.

Conclusion

Anuj Kumar has a strong academic foundation, technical expertise, and a growing research portfolio in computer science and engineering. His contributions to image processing, artificial intelligence, and industrial automation position him as a promising candidate for the Best Researcher Award. However, enhancing high-impact publications, research collaborations, and funding contributions would further strengthen his profile for this recognition.

Publications Top Noted

  • P., Jaidka, Preeti, P., Upadhyay, Prashant, A., Kumar, Aman, A.S., Kumar, Anuj Shiva, S.P., Yadav, Satya Prakash (2024). Transforming Coconut Farming with Deep Learning Disease Detection. Evergreen. Citations: 0

  • D., Sharma, Deepak, A.S., Kumar, Anuj Shiva, N., Tyagi, Nitin, S.S., Chavan, Sunil S., S.M.P., Gangadharan, Syam Machinathu Parambil (2024). Towards intelligent industrial systems: A comprehensive survey of sensor fusion techniques in IIoT. Measurement: Sensors. Citations: 3

  • S., Singh, Sandeep, B.K., Singh, B. K., A.S., Kumar, Anuj Shiva (2024). Multi-organ segmentation of organ-at-risk (OAR’s) of head and neck site using ensemble learning technique. Radiography. Citations: 3

  • R., Naz, Rahat, A.S., Kumar, Anuj Shiva (2024). Surveying Quantum-Proof Blockchain Security: The Era of Exotic Signatures. Conference Paper. Citations: 1

 

Najeeb ur rehman Malik | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Najeeb ur rehman Malik | Engineering | Best Researcher Award

Assistant Professor at DHA Suffa University, Pakistan

Dr. Najeeb Ur Rehman Malik is a dedicated researcher and electronics engineer specializing in computer vision, deep learning, and image processing. He holds a Ph.D. from Universiti Teknologi Malaysia (UTM), where his research focused on multi-view human action recognition using convolutional neural networks (CNNs) and pose features. His expertise spans artificial intelligence, embedded systems, and digital signal processing. With multiple peer-reviewed publications, including work on COVID-19 detection using X-ray images and AI-driven healthcare solutions, he has significantly contributed to applied AI research. He has industry experience as an Assistant Manager at PTCL and has led technical events at the university and national levels. His proficiency in MATLAB, Python, and embedded systems complements his research acumen. While he has made impactful contributions, further global collaborations, research funding, and high-impact citations would enhance his academic influence. Dr. Malik continues to innovate in AI and computer vision, driving advancements in intelligent systems.

Professional Profile 

Education

Dr. Najeeb Ur Rehman Malik has a strong academic background in electronics engineering and communication systems. He is currently pursuing a Ph.D. at Universiti Teknologi Malaysia (UTM), where his research focuses on multi-view human action recognition using deep learning and convolutional neural networks (CNNs). He earned his Master of Engineering (M.E.) in Communication Systems and Networks from Mehran University of Engineering and Technology (MUET), Jamshoro, Pakistan, graduating with a CGPA of 3.40. His master’s research explored speeded-up robust features (SURF) for image retrieval systems. Prior to that, he completed his Bachelor of Engineering (B.E.) in Electronics Engineering from MUET with a CGPA of 3.45, gaining expertise in power electronics, automation, digital signal processing, and embedded systems. His academic journey reflects a strong foundation in artificial intelligence, image processing, and computer vision, positioning him as a key contributor to advancements in intelligent systems and AI-driven technologies.

Professional Experience

Dr. Najeeb Ur Rehman Malik has diverse professional experience in both academia and industry, specializing in electronics engineering, communication systems, and artificial intelligence. He served as an Assistant Manager at PTCL in Hyderabad, Sindh, Pakistan, from February 2017 to June 2018, where he gained hands-on experience in telecommunications, networking, and system management. Prior to that, he completed an internship at the National Telecommunication Corporation (NTC) in Karachi during June-July 2010, where he worked on networking infrastructure and telecommunication protocols. In addition to his industry experience, he has been actively engaged in research at Universiti Teknologi Malaysia (UTM), focusing on deep learning applications for multi-view human action recognition. His technical expertise spans MATLAB, Python, embedded systems, and digital signal processing, making him a well-rounded professional. With a strong blend of research and industry exposure, Dr. Malik continues to contribute to advancements in AI, image processing, and communication technologies.

Research Interest

Dr. Najeeb Ur Rehman Malik’s research interests lie at the intersection of computer vision, deep learning, image processing, and artificial intelligence. His primary focus is on multi-view human action recognition, where he integrates convolutional neural networks (CNNs) and pose estimation techniques to enhance accuracy in real-world scenarios. He has also explored content-based image retrieval, developing robust techniques using Speeded-Up Robust Features (SURF) and Scale-Invariant Feature Transform (SIFT). His work extends to healthcare applications, including AI-driven COVID-19 detection from chest X-ray images and the role of wearable technology in pandemic management. Additionally, he is interested in embedded systems, automation, and signal processing, particularly in developing intelligent and efficient computing solutions. His expertise in MATLAB, Python, and FPGA-based system design enables him to innovate in these areas. Dr. Malik aims to contribute to the advancement of AI-driven technologies for healthcare, surveillance, and human-computer interaction.

Award and Honor

Dr. Najeeb Ur Rehman Malik has been recognized for his contributions to computer vision, deep learning, and artificial intelligence through various academic and professional honors. His research in multi-view human action recognition and AI-driven healthcare solutions has been published in reputed journals, highlighting his impact in the field. During his academic career, he actively participated in technical events, conferences, and research forums, further solidifying his reputation as a dedicated scholar. He has also played a key role in organizing and volunteering at national and university-level exhibitions and competitions, showcasing his leadership and commitment to knowledge dissemination. His work on COVID-19 detection using AI and image processing techniques has received significant attention, demonstrating real-world applications of his research. While he has made commendable contributions, further recognition in the form of best paper awards, patents, and international research grants would enhance his standing in the global research community.

Research Skill

Dr. Najeeb Ur Rehman Malik possesses advanced research skills in computer vision, deep learning, and image processing, making significant contributions to AI-driven solutions. He is proficient in MATLAB and Python, leveraging machine learning frameworks like TensorFlow and PyTorch to develop multi-view human action recognition systems using convolutional neural networks (CNNs) and pose estimation techniques. His expertise extends to content-based image retrieval, feature extraction (SURF & SIFT), and embedded system design, enabling efficient AI model deployment. He is skilled in handling large datasets, performing statistical analysis, and optimizing deep learning architectures for real-world applications, including COVID-19 detection from chest X-ray images. Additionally, he has experience in academic writing, research methodology, and experimental design, ensuring high-quality publications. His ability to analyze complex problems, design innovative solutions, and collaborate on interdisciplinary research projects positions him as a strong contributor to advancements in AI, healthcare, and intelligent automation.

Conclusion

Najeeb Ur Rehman Malik is a strong candidate for the Best Researcher Award due to his technical expertise, interdisciplinary research contributions, and published works in computer vision and AI. However, improving citation metrics, securing research funding, and enhancing global collaboration would further strengthen his profile. If he has additional awards, patents, or high-impact projects, those should be highlighted in the application to maximize competitiveness.

Publications Top Noted

  • Cascading pose features with CNN-LSTM for multiview human action recognition

    • Authors: NR Malik, SAR Abu-Bakar, UU Sheikh, A Channa, N Popescu
    • Year: 2023
    • Citations: 23

  • Robust Technique to Detect COVID-19 using Chest X-ray Images

    • Authors: A Channa, N Popescu, NUR Malik
    • Year: 2020
    • Citations: 23

  • Multi-view human action recognition using skeleton based-FineKNN with extraneous frame scrapping technique

    • Authors: NUR Malik, UU Sheikh, SAR Abu-Bakar, A Channa
    • Year: 2023
    • Citations: 18

  • Managing COVID-19 Global Pandemic With High-Tech Consumer Wearables: A Comprehensive Review

    • Authors: A Channa, N Popescu, NUR Malik
    • Year: 2020
    • Citations: 17

  • Salp swarm algorithm–based optimal vector control scheme for dynamic response enhancement of brushless double‐fed induction generator in a wind energy conversion system

    • Authors: A Memon, MWB Mustafa, TA Jumani, M Olatunji Obalowu, NR Malik
    • Year: 2021
    • Citations: 10

  • Performance comparison between SURF and SIFT for content-based image retrieval

    • Authors: NUR Malik, AG Airij, SA Memon, YN Panhwar, SAR Abu-Bakar
    • Year: 2019
    • Citations: 8

  • Multiview human action recognition system based on OpenPose and KNN classifier

    • Authors: NUR Malik, SAR Abu Bakar, UU Sheikh
    • Year: 2022
    • Citations: 5

  • Association of stride rate variability and altered fractal dynamics with ageing and neurological functioning

    • Authors: A Channa, N Popescu
    • Year: 2021
    • Citations: 3

  • Localized Background Subtraction Feature-Based Approach for Vehicle Counting

    • Authors: MA El-Khoreby, SAR Abu-Bakar, MM Mokji, SN Omar, NUR Malik
    • Year: 2019
    • Citations: 3

Arash Yazdanpanah Goharrizi | Engineering | Best Innovation Award

Posted on by ScienceFather

Prof. Arash Yazdanpanah Goharrizi | Engineering | Best Innovation Award

Shahid Beheshti University, Iran

Dr. Arash Yazdanpanah Goharrizi is a distinguished professor in electrical engineering at Shahid Beheshti University, Tehran, Iran. His research focuses on nanotechnology, semiconductor devices, and electronic transport properties, with contributions to optimizing transistor performance, nanoribbon-based sensors, and first-principles calculations of novel materials. He has published extensively in high-impact journals, collaborating with international researchers to advance the field of microelectronics and nanostructures. In addition to research, Dr. Goharrizi actively reviews scientific manuscripts and contributes to academic peer-review processes.

Professional Profile

Education

Dr. Arash Yazdanpanah Goharrizi earned his academic qualifications from Shahid Beheshti University, Tehran, Iran. He initially served as an assistant professor in electrical engineering at the same institution, where he developed expertise in semiconductor physics, nanomaterials, and device modeling. His academic training provided him with a strong foundation in theoretical and applied aspects of electronic devices, paving the way for his contributions to advanced semiconductor research.

Professional Experience

Dr. Goharrizi currently serves as a professor at Shahid Beheshti University, where he leads research in electrical engineering, with a focus on micro- and nanostructures. Over the years, he has conducted groundbreaking studies on electronic and transport properties of advanced materials like phosphorene, antimonene, and germanene. His work has led to numerous publications in esteemed journals such as ACS Applied Electronic Materials, IEEE Transactions on Electron Devices, and Physica E. Beyond research, he contributes to academia through peer reviewing and mentoring graduate students in semiconductor device physics and nanoelectronics.

Research Interests

Dr. Arash Yazdanpanah Goharrizi’s research interests lie in the fields of nanoelectronics, semiconductor devices, and computational materials science. He focuses on the electronic, optical, and transport properties of low-dimensional materials such as phosphorene, antimonene, graphene, and germanene nanoribbons, utilizing first-principles calculations and device modeling to optimize their performance. His studies contribute to advancements in transistor design, Bragg grating-based sensors, and tunneling field-effect transistors (TFETs). Additionally, he explores strain engineering and doping control to enhance device efficiency and scalability. His interdisciplinary research integrates physics, electrical engineering, and material science, aiming to develop next-generation electronic and optoelectronic devices for high-performance computing and sensing applications.

Awards and Honors

Dr. Goharrizi has been recognized for his contributions to semiconductor research and nanoelectronics through various academic and professional honors. His high-impact publications in prestigious journals and collaborations with international researchers reflect his standing in the scientific community. As a peer reviewer for leading journals, he has contributed to the advancement of materials science and electrical engineering. He has also received recognition for his mentorship and guidance of graduate students in advanced semiconductor device research. His work on nanostructured materials and electronic transport properties continues to earn him accolades within the academic and research communities, further establishing his reputation as a leading expert in the field.

Publications Top Noted

  1. Modeling of lightly doped drain and source graphene nanoribbon field effect transistors
    • Authors: M Saremi, M Saremi, H Niazi, AY Goharrizi
    • Journal: Superlattices and Microstructures
    • Year: 2013
    • Citations: 94
  2. Armchair graphene nanoribbon resonant tunneling diodes using antidote and BN doping
    • Authors: AY Goharrizi, M Zoghi, M Saremi
    • Journal: IEEE Transactions on Electron Devices
    • Year: 2016
    • Citations: 93
  3. Band gap tuning of armchair graphene nanoribbons by using antidotes
    • Authors: M Zoghi, AY Goharrizi, M Saremi
    • Journal: Journal of Electronic Materials
    • Year: 2017
    • Citations: 77
  4. A numerical study of line-edge roughness scattering in graphene nanoribbons
    • Authors: A Yazdanpanah, M Pourfath, M Fathipour, H Kosina, S Selberherr
    • Journal: IEEE Transactions on Electron Devices
    • Year: 2011
    • Citations: 71
  5. Device performance of graphene nanoribbon field-effect transistors in the presence of line-edge roughness
    • Authors: AY Goharrizi, M Pourfath, M Fathipour, H Kosina
    • Journal: IEEE Transactions on Electron Devices
    • Year: 2012
    • Citations: 67
  6. Tuning electronic, magnetic, and transport properties of blue phosphorene by substitutional doping: a first-principles study
    • Authors: F Safari, M Fathipour, A Yazdanpanah Goharrizi
    • Journal: Journal of Computational Electronics
    • Year: 2018
    • Citations: 44
  7. An analytical model for line-edge roughness limited mobility of graphene nanoribbons
    • Authors: AY Goharrizi, M Pourfath, M Fathipour, H Kosina, S Selberherr
    • Journal: IEEE Transactions on Electron Devices
    • Year: 2011
    • Citations: 41
  8. SOI LDMOSFET with up and down extended stepped drift region
    • Authors: M Saremi, M Saremi, H Niazi, M Saremi, AY Goharrizi
    • Journal: Journal of Electronic Materials
    • Year: 2017
    • Citations: 40
  9. A new method for classification and identification of complex fiber Bragg grating using the genetic algorithm
    • Authors: A Rostami, A Yazdanpanah-Goharriz
    • Journal: Progress In Electromagnetics Research
    • Year: 2007
    • Citations: 31
  10. Strain-induced armchair graphene nanoribbon resonant-tunneling diodes
  • Authors: M Zoghi, AY Goharrizi
  • Journal: IEEE Transactions on Electron Devices
  • Year: 2017
  • Citations: 30