Naveed Ahmed | Engineering | Academic Excellence Award

Posted on by sciencefather

Assoc. Prof. Dr. Naveed Ahmed | Engineering | Academic Excellence Award

Assoc. Prof. Dr. Naveed Ahmed, Al Yamamah University, Saudi Arabia

Dr. Naveed Ahmed is an accomplished researcher and academician specializing in manufacturing and industrial engineering. He holds a PhD in Manufacturing Systems from King Saud University, Saudi Arabia, complemented by a Master’s degree in Manufacturing Engineering and a Bachelor’s degree in Industrial and Manufacturing Engineering from the University of Engineering and Technology, Lahore, Pakistan. Currently serving as an Associate Professor and Chairman of the Industrial Engineering Department at Al Yamamah University, Riyadh, he has significantly contributed to micro-manufacturing, nano-materials synthesis, and non-conventional machining processes. With over 80 high-impact research publications and a book published by Springer, Dr. Naveed has garnered global recognition, including the prestigious King Saud University Award for Scientific Excellence and Saudi Arabia’s Special Talent Premium Residency in 2024. His dedication to research and education continues to shape advancements in manufacturing and materials engineering.

Professional Profile

Scopus

orcid

Google Scholar

Summary of Suitability for the Research for Academic Excellence Award

Dr. Naveed Ahmed’s exceptional academic achievements and significant contributions to research make him highly suitable for the Research for Academic Excellence Award. Holding a PhD in Manufacturing Systems from King Saud University, Saudi Arabia, along with a Master’s degree in Manufacturing Engineering and an undergraduate degree in Industrial and Manufacturing Engineering, Dr. Ahmed has a robust academic foundation. His research interests span across a variety of cutting-edge fields, including micro-manufacturing, non-conventional machining, laser ablation, and electron beam melting, among others.

Dr. Ahmed has published over 80 research papers in prestigious ISI journals, with a total impact factor surpassing 230. His research contributions are notable not only for their technical depth but also for their practical applications in industries such as aerospace, biomedical implants, and manufacturing. His work is regularly cited, demonstrating the long-term impact of his research in the academic and industrial communities. Moreover, his research has garnered numerous accolades, including the King Saud University Award for Scientific Excellence in 2017 and the Special Talent Premium Residency in Saudi Arabia in 2024, reinforcing his standing as an influential figure in his field.

🎓 Education

Dr. Naveed Ahmed’s educational journey is rooted in excellence in manufacturing and industrial engineering. He earned his PhD in Industrial Engineering (Manufacturing Systems) from King Saud University, Saudi Arabia (2012–2016), focusing on micro-machining and laser processing of aerospace materials. His Master’s degree in Manufacturing Engineering (2007–2009) from the University of Engineering and Technology (UET), Lahore, Pakistan, provided him with in-depth knowledge of non-conventional machining processes. Prior to that, he completed his Bachelor’s in Industrial and Manufacturing Engineering (2003–2006) from UET Lahore, where he graduated with distinction, securing third position in his class. Throughout his academic tenure, he received multiple scholarships and honors, including a fully funded PhD scholarship from King Saud University. His robust educational foundation has enabled him to excel in research and academia, driving innovations in advanced manufacturing techniques and materials engineering.

💼 Professional Experience

Dr. Naveed Ahmed has extensive academic and research experience in manufacturing and industrial engineering. Since 2020, he has been the Chairman of the Industrial Engineering Department at Al Yamamah University, Riyadh, Saudi Arabia, where he also serves as an Associate Professor. Previously, he was an Assistant Professor at the same institution (2020–2021) and at the University of Engineering and Technology, Lahore, Pakistan (2017–2020). His research career began as a researcher at the Advanced Manufacturing Institute, King Saud University (2010–2017), where he contributed to pioneering research in micro-machining and nano-scale surface modifications. He also worked as a Lecturer at UET Lahore from 2007 to 2010. Over the years, he has supervised graduate students, developed engineering curricula, and engaged in industry collaborations, enhancing the field of advanced manufacturing through education and applied research.

🏅 Awards and Recognition

Dr. Naveed Ahmed’s contributions to engineering and research have been widely recognized. In 2024, he was awarded the Premium Residency of Saudi Arabia under the Special Talent category. He received the King Saud University Award for Scientific Excellence in 2017 and multiple research excellence awards from the College of Engineering at King Saud University. He played a key role in obtaining ABET accreditation for the Industrial Engineering Program at Al Yamamah University. His research achievements earned him “Key Scientific Article” certificates from Advances in Engineering (AIE), Ottawa, Canada, for publications on laser machining. Additionally, he secured fully funded PhD and MSc scholarships, ranked third in his undergraduate program, and won first prize in a national painting and photography competition. His accolades reflect his outstanding contributions to academia, research, and professional development in industrial and manufacturing engineering.

🌍 Research Skills On Engineering

Dr. Naveed Ahmed’s research expertise spans a wide range of advanced manufacturing and engineering fields. His key research skills include micro-manufacturing (micro-heat exchangers, micro-molding, micro-channels), laser ablation, ultrasonic milling, and electron beam melting (ARCAM). He has extensive experience in the synthesis of nanoparticles, under-fluid laser processing, and micro/nano-scale surface modifications. His work in non-conventional machining processes, such as electric discharge machining and wire-cut machining, has led to significant advancements in precision engineering. He is also proficient in materials engineering, human factors, ergonomics, and operations research. Dr. Naveed has successfully led and supervised multiple research projects, published over 80 high-impact journal papers, and contributed to industry advancements in biomedical implants and advanced machining techniques. His interdisciplinary research skills make him a leader in the field of industrial and manufacturing engineering.

📖 Publication Top Notes

  • Direct metal fabrication in rapid prototyping: A review

    • Authors: N Ahmed
    • Citation: 133
    • Year: 2019

  • Laser ablation and laser-hybrid ablation processes: a review

    • Authors: N Ahmed, S Darwish, AM Alahmari
    • Citation: 132
    • Year: 2016

  • Recent advances in the machining of titanium alloys using minimum quantity lubrication (MQL) based techniques

    • Authors: S Pervaiz, S Anwar, I Qureshi, N Ahmed
    • Citation: 127
    • Year: 2019

  • Machinability of titanium alloy through electric discharge machining

    • Authors: N Ahmed, K Ishfaq, K Moiduddin, R Ali, N Al-Shammary
    • Citation: 88
    • Year: 2019

  • On the investigation of surface integrity of Ti6Al4V ELI using Si-mixed electric discharge machining

    • Authors: M Umar Farooq, M Pervez Mughal, N Ahmed, N Ahmad Mufti, …
    • Citation: 81
    • Year: 2020

  • Curved profiles machining of Ti6Al4V alloy through WEDM: investigations on geometrical errors

    • Authors: MU Farooq, MA Ali, Y He, AM Khan, CI Pruncu, M Kashif, N Ahmed, N Asif
    • Citation: 77
    • Year: 2020

  • EDM of Ti-6Al-4V: Electrode and polarity selection for minimum tool wear rate and overcut

    • Authors: N Ahmed, K Ishfaq, M Rafaqat, S Pervaiz, S Anwar, B Salah
    • Citation: 73
    • Year: 2019

  • The potentiality of sinking EDM for micro-impressions on Ti-6Al-4V: keeping the geometrical errors (axial and radial) and other machining measures (tool erosion and work …

    • Authors: N Ahmed, S Anwar, K Ishfaq, M Rafaqat, M Saleh, S Ahmad
    • Citation: 51
    • Year: 2019

  • Electron beam melting of titanium alloy and surface finish improvement through rotary ultrasonic machining

    • Authors: N Ahmed, BM Abdo, S Darwish, K Moiduddin, S Pervaiz, AM Alahmari, …
    • Citation: 49
    • Year: 2017

  • Abrasive waterjet cutting of cladded material: Kerf taper and MRR analysis

    • Authors: K Ishfaq, N Ahmad Mufti, N Ahmed, S Pervaiz
    • Citation: 48
    • Year: 2019

 

Phong Lam Nguyen Duy | Computer Science | Best Researcher Award

Posted on by sciencefather

Mr. Phong Lam Nguyen Duy | Computer Science | Best Researcher Award

👤 Mr. Phong Lam Nguyen Duy, University of Engineering and Technology – Vietnam National University, Vietnam

Phong Lam Nguyen Duy is a motivated undergraduate student in the Computer Science Department at the University of Engineering and Technology, Vietnam National University, Hanoi. Born on July 6, 2004, in Ha Dong, Hanoi, Phong Lam is passionate about exploring cutting-edge technologies in data science and artificial intelligence. His primary research interests include automated data quality assurance, machine learning algorithms, and advancements in large language models. Apart from academics, Phong Lam is actively involved in volunteering, demonstrating a commitment to fostering community development through initiatives like the ICPC Asia Pacific Championship and Hanoi Green Summer programs. A proactive learner and aspiring researcher, Phong Lam has already contributed as a university research assistant at the Intelligence Software Engineering Laboratory, where he leverages his problem-solving skills and technical expertise. Phong Lam aspires to contribute significantly to the field of Computer Science and aims to bridge gaps between theoretical concepts and real-world applications.

Professional Profile

Orcid

Suitability for the “Research for Best Researcher Award”

Summary of Suitability:
Phong Lam Nguyen Duy demonstrates remarkable potential as a candidate for the “Research for Best Researcher Award.” Currently pursuing undergraduate studies in the Computer Science Department at Vietnam National University, Hanoi, Phong has already begun contributing to cutting-edge research fields, including automated data quality assurance, machine learning, and large language models. These areas are highly relevant and impactful in today’s rapidly evolving technological landscape, showcasing his alignment with contemporary research priorities.

Phong’s involvement as a university research assistant at the Intelligence Software Engineering Laboratory since February 2024 highlights his active engagement in research at an early stage of his academic career. His recent publication, “Leveraging Local and Global Relationships for Corrupted Label Detection” (2025), reflects his ability to contribute to academic discourse and address challenges in machine learning—a field critical for advancements in artificial intelligence.

🎓 Education 

Phong Lam Nguyen Duy is pursuing his undergraduate degree in Computer Science at the University of Engineering and Technology, Vietnam National University, Hanoi. Since his enrollment in September 2022, he has been immersed in a rigorous academic curriculum focused on Information and Communication Technologies. The program emphasizes critical areas such as software development, data analysis, and systems design, providing him with a robust foundation in computer science. The university’s strong research culture has further fueled his interest in machine learning and automated data quality assurance. Phong Lam has actively engaged in research initiatives and academic projects, allowing him to apply his theoretical knowledge in practical contexts. The vibrant academic environment at Vietnam National University has cultivated his technical skills and problem-solving abilities, enabling him to stay at the forefront of technological advancements. He views his education as the stepping stone to a thriving career in computer science and artificial intelligence.

💼 Professional Experience 

Phong Lam Nguyen Duy is currently a research assistant at the Intelligence Software Engineering Laboratory, located in Hanoi, Vietnam. Since February 2024, he has been collaborating with faculty and fellow researchers to tackle challenges in automated data quality assurance and machine learning. His work primarily involves developing methodologies that improve data accuracy and reliability while optimizing machine learning models for large-scale datasets. Phong Lam’s role includes conducting literature reviews, designing experiments, and implementing cutting-edge algorithms to solve complex problems. His contributions are instrumental in advancing projects that integrate theoretical computer science with practical applications. As a research assistant, he has honed his analytical, programming, and communication skills, fostering his growth as a budding researcher. This professional experience has not only solidified his technical expertise but also instilled a passion for lifelong learning and innovation, preparing him for future endeavors in the rapidly evolving field of artificial intelligence.

🏅 Awards and Recognition 

Phong Lam Nguyen Duy has been recognized for his academic excellence, volunteer contributions, and research potential. His participation as a volunteer for the prestigious ICPC Asia Pacific Championship 2024 earned him commendations for his organizational skills and dedication to promoting computer science education. Additionally, his involvement in the Hanoi Green Summer 2023 showcased his commitment to community service, where he actively participated in environmental sustainability initiatives. Phong Lam’s academic achievements at Vietnam National University include consistent top performance in his courses, particularly in areas related to machine learning and data science. His appointment as a research assistant at the Intelligence Software Engineering Laboratory further highlights his aptitude and potential for innovation in the field. Through these accolades, Phong Lam has established himself as a well-rounded individual, excelling academically while contributing to society and pursuing impactful research in computer science.

🌍 Research Skills On Computer Science

Phong Lam Nguyen Duy possesses a strong skill set in computational research and data science. His expertise includes automated data quality assurance, where he develops methodologies to identify and correct errors in datasets, ensuring reliability for machine learning applications. Phong Lam has a keen understanding of machine learning algorithms and their optimization, with experience in designing and training models for diverse applications. His research focus also encompasses advancements in large language models, where he explores their capabilities for natural language processing tasks. As a research assistant, he has gained hands-on experience in experimental design, data preprocessing, and implementing scalable solutions. Proficient in programming languages like Python and R, Phong Lam is adept at leveraging tools such as TensorFlow and PyTorch for deep learning projects. His analytical mindset and problem-solving abilities make him an invaluable contributor to the ever-evolving landscape of artificial intelligence and computer science research.

📖 Publication Top Notes

Title: Leveraging local and global relationships for corrupted label detection
  • Journal: Future Generation Computer Systems
  • Year: 2025

Ahona Ghosh | Computer Science | Best Researcher Award

Posted on by sciencefather

Ms. Ahona Ghosh | Computer Science | Best Researcher Award

👤 Ms. Ahona Ghosh, Maulana Abul Kalam Azad University of Technology, West Bengal, India

Ahona Ghosh is a promising researcher in the field of Computer Science and Engineering with a focus on artificial intelligence, machine learning, and rehabilitation technologies. Currently completing her Ph.D. at Maulana Abul Kalam Azad University of Technology, West Bengal, Ahona has made significant strides in the academic and research community. Her work involves a blend of deep learning, cognitive rehabilitation, and IoT-based systems for improving quality of life. With several publications in prestigious international journals and conferences, she has earned recognition for her contributions to the scientific community. Ahona has been awarded the Best Paper Award for her work on IoT-based waste management and has ranked highly in various competitions like MAKATHON’22. She is passionate about leveraging technology for social good, particularly in healthcare and rehabilitation systems.

Professional Profile

Scopus

Orcid

Google Scholar

🌟 Ms. Ahona Ghosh, Summary of Suitability

Dr. Ahona Ghosh is an outstanding candidate for the Research for Best Researcher Award, demonstrating exceptional academic accomplishments, innovative research contributions, and consistent excellence throughout her career. Her extensive academic background includes a Ph.D. in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal, with her pre-submission and viva completed, reflecting her advanced expertise and dedication to her field. She has received accolades for her academic and research endeavors, such as the Best Paper Award for her IoT-based waste management system and the Academic Excellence Award from Brainware University.

Her robust portfolio of research contributions includes an impressive array of international journal articles, conference papers, patents, and book chapters. Dr. Ghosh’s work spans cutting-edge topics such as deep learning, cognitive rehabilitation, IoT applications, and fuzzy systems, addressing societal challenges like healthcare, rehabilitation, and sustainable development.

🎓 Education 

Ahona Ghosh has a strong academic background, with a Ph.D. in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology (MAKAUT), where she is in the final stages of her thesis submission. She completed her Master of Technology (M.Tech.) in the same field at MAKAUT in 2019, with a CGPA of 8.73. Her Bachelor’s degree in Computer Science and Engineering (B.Tech.) was awarded by Techno India College of Technology in 2017, where she achieved a CGPA of 7.66. Ahona’s early education includes Higher Secondary in Science from Taki House Government Sponsored Girls High School, with an aggregate of 67.4%. She also passed the Madhyamik Pariksha (Class 10) from Duff High School for Girls with a remarkable score of 82.88%. Ahona is also certified in NTA-NET for the years 2018 and 2019.

💼  Professional Experience

Ahona Ghosh has worked extensively in academia and research, focusing on artificial intelligence, IoT, and healthcare applications. Currently, she is a Doctoral Fellow at Maulana Abul Kalam Azad University of Technology (MAKAUT). Her research includes contributions to cognitive rehabilitation using machine learning and EEG-based sensor systems. She has also been involved in various projects concerning IoT-based solutions for healthcare, such as designing smart systems for cognitive rehabilitation and enhancing data-driven rehabilitation methods. In addition, Ahona has been a part of multiple international conferences where she presented papers, co-authored patents, and contributed to the scientific community with impactful research. Her teaching experience includes mentoring undergraduate students and guiding research projects, as well as working on industry collaborations in technology development. Ahona’s expertise in both theoretical and applied aspects of Computer Science has shaped her as a versatile professional in the field.

🏅 Awards and Recognition

Ahona Ghosh has received several accolades for her academic and research achievements. She won the Best Paper Award at the IETE Eastern Zonal Seminar with ISF Congress in 2017 for her paper on “Waste Management System Based on Internet of Things (IoT)”. Her innovative contributions earned her the Academic Excellence Award from Brainware University in January 2020, based on exceptional student feedback. She also achieved 2nd place in the MAKATHON’22 competition organized by MAKAUT’s Innovation Council. Ahona’s recognition extends beyond awards, as she is a prominent figure in academic circles, having presented her research at several prestigious IEEE conferences. Her qualifications include passing the NTA-NET exams in 2018 and 2019, reinforcing her academic prowess. Ahona’s dedication to research and innovation continues to receive recognition, making her an influential presence in her field.

🌍 Research Skills On Computer Science 

Ahona Ghosh has developed a comprehensive set of research skills, particularly in the areas of Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Rehabilitation. Her expertise extends to using IoT for healthcare applications, including creating systems for rehabilitative therapy and mental health analysis. Ahona is proficient in data analysis, algorithm design, and modeling for both real-time and research-driven applications. Her experience with neural networks, sensor systems, and signal processing further enhances her ability to tackle complex problems. Ahona has contributed to developing innovative frameworks using fuzzy logic, sensor networks, and electroencephalography (EEG) in health-related projects. She excels in academic writing, having published in numerous peer-reviewed journals and international conferences. Additionally, she is well-versed in patent filing, research methodology, and project management, which are crucial in carrying out high-impact scientific work.

📖 Publication Top Notes

Scope of Sentiment Analysis On News Articles Regarding Stock Market and GDP in Struggling Economic Condition
  • Authors: S Biswas, A Ghosh, S Chakraborty, S Roy, R Bose
    Journal: International Journal of Emerging Trends in Engineering Research, 8 (7), 3594
    Citation: 30
    Year: 2020
A Detailed Study on Data Centre Energy Efficiency and Efficient Cooling Techniques
  • Authors: D Mukherjee, S Chakraborty, I Sarkar, A Ghosh, S Roy
    Journal: International Journal of Advanced Trends in Computer Science and Engineering
    Citation: 26
    Year: 2020
Recognition of hand gesture image using deep convolutional neural network
  • Authors: KM Sagayam, AD Andrushia, A Ghosh, O Deperlioglu, AA Elngar
    Journal: International Journal of Image and Graphics, 22 (03), 2140008
    Citation: 22
    Year: 2022
Service aware resource management into cloudlets for data offloading towards IoT
  • Authors: D Guha Roy, B Mahato, A Ghosh, D De
    Journal: Microsystem Technologies, 1-15
    Citation: 21
    Year: 2022
Mathematical modelling for decision making of lockdown during COVID-19
  • Authors: A Ghosh, S Roy, H Mondal, S Biswas, R Bose
    Journal: Applied Intelligence
    Citation: 17
    Year: 2021
Secured Energy-Efficient Routing in Wireless Sensor Networks Using Machine Learning Algorithm: Fundamentals and Applications
  • Authors: A Ghosh, CC Ho, R Bestak
    Journal: Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks
    Citation: 12
    Year: 2020
A survey on Internet-of-Thing applications using electroencephalogram
  • Authors: D Chakraborty, A Ghosh, S Saha
    Book: Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach, 21-47
    Citation: 12
    Year: 2020
Rehabilitation using neighbor-cluster based matching inducing artificial bee colony optimization
  • Authors: S Saha, A Ghosh
    Conference: 2019 IEEE 16th India Council International Conference (INDICON), 1-4
    Citation: 12
    Year: 2019
Dtnma: identifying routing attacks in delay-tolerant network
  • Authors: S Chatterjee, M Nandan, A Ghosh, S Banik
    Book: Cyber Intelligence and Information Retrieval: Proceedings of CIIR 2021, 3-15
    Citation: 11
    Year: 2022
Emotion detection using generative adversarial network
  • Authors: S Das, A Ghosh
    Book: Generative Adversarial Networks and Deep Learning, 165-182
    Citation: 10
    Year: 2023