Naveed Ahmed | Engineering | Academic Excellence Award

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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.

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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

 

Karthik K | Engineering | Best Researcher Award

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Dr. Karthik K | Engineering | Best Researcher Award

Dr. Karthik K, Vellore Institute of Technology, Vellore, India

Karthik K is an accomplished academician and researcher specializing in computer vision, deep learning, and medical imaging. With over a decade of experience in teaching and research, he has contributed significantly to the field of artificial intelligence in healthcare applications. Currently serving as an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, he has previously worked at St. Joseph Engineering College and NITK, Surathkal. His research is backed by strong academic credentials, numerous publications, and active collaborations with esteemed institutions like NITK, NITPy, and VIT AP. Karthik has received the VIT Seed Grant for AI-driven cricket commentary generation and has applied for prestigious research grants. His contributions to automated medical scan quality enhancement and content-based medical image retrieval have been widely recognized. An active IEEE and IAENG member, he continues to drive innovation in AI and deep learning for intelligent healthcare applications.

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Evaluation of Dr. Karthik K for the Research for Best Researcher Award

Dr. Karthik K, currently an Assistant Professor Sr. Grade I at the Vellore Institute of Technology (VIT), has demonstrated strong research contributions in the fields of computer vision, deep learning, and medical imaging. His research spans content-based medical image retrieval, automated radiography report retrieval, and deep learning-based medical scan quality enhancement, which have direct applications in intelligent healthcare systems. With six journal publications in SCI and Scopus-indexed journals, along with 145 citations, his academic impact is notable.

In addition to his research, Dr. Karthik has published book chapters, submitted a patent, and collaborated with reputed institutions such as NITK, NITPy, and VIT AP. His contributions to AI-driven healthcare applications, particularly in medical image classification and enhancement, showcase his innovative approach to solving real-world medical challenges. Furthermore, his ongoing VIT Seed Grant project on AI-generated cricket commentary and a DST-SURE research grant under review indicate his continued commitment to advancing AI applications across multiple domains.

🎓 Education 

Karthik K has built a strong academic foundation in the fields of computer science and engineering. He pursued his Bachelor’s and Master’s degrees with a focus on artificial intelligence, deep learning, and medical imaging. His research interests led him to work as a Research Fellow at NITK Surathkal, where he contributed to the DST-ECR-funded project on deep learning frameworks for intelligent healthcare applications. During his tenure, he gained extensive expertise in content-based medical image retrieval and automated medical scan enhancements. His academic journey has been marked by continuous learning and contributions to research, with publications in renowned journals and conferences. Karthik’s passion for AI-driven innovations is evident in his scholarly work, patents, and ongoing research projects. His educational background has laid the foundation for his teaching and research career, equipping him with the knowledge and skills to drive advancements in AI, deep learning, and medical imaging applications.

💼 Professional Experience 

Karthik K brings over 10 years of experience in academia and research. He is currently an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, where he specializes in AI, computer vision, and medical imaging. Prior to this, he was an Assistant Professor at St. Joseph Engineering College, Vamanjoor, Mangaluru (2020–2023) and an Assistant Lecturer at NITK, Surathkal (2015–2017). His professional journey includes a research fellowship at NITK Surathkal, where he worked on a DST-ECR-funded project developing deep learning frameworks for intelligent healthcare. Karthik has contributed significantly to AI-driven innovations, collaborating with institutions like NITK, NITPy, and VIT AP. His expertise extends to consultancy projects, editorial appointments, and patents. He has published extensively in SCI and Scopus-indexed journals and remains actively involved in advancing deep learning applications for medical imaging, making significant contributions to academia and industry collaborations.

🏅 Awards and Recognition

Karthik K has been recognized for his contributions to artificial intelligence and medical imaging research. He received the VIT Seed Grant (2023–2025) for his innovative project on AI-driven cricket commentary generation. Additionally, he has applied for the DST-SURE research grant, currently under review. His work in content-based medical image retrieval and deep neural networks for healthcare applications has been acknowledged in multiple international journals and conferences. Karthik has published several book chapters with ISBN numbers, showcasing his expertise in AI and deep learning. He actively collaborates with esteemed institutions and has been invited for editorial appointments in reputed journals. His research contributions have earned him membership in professional organizations such as IEEE and IAENG. With over 145 citations in SCI and Scopus-indexed publications, his work continues to impact the field of intelligent healthcare applications. His commitment to research excellence makes him a strong contender for prestigious awards.

🌍 Research Skills On Engineering

Karthik K possesses extensive research skills in computer vision, deep learning, and medical imaging. His expertise includes developing AI-driven frameworks for intelligent healthcare applications, enhancing medical scan quality, and implementing deep neural networks for automated medical image retrieval. He has successfully led research projects, including a DST-ECR-funded initiative at NITK Surathkal and ongoing consultancy projects. His ability to integrate AI with real-world healthcare challenges has resulted in significant innovations such as ViewNet for scan orientation and automated radiography report retrieval. Karthik’s research has been published in SCI and Scopus-indexed journals, contributing to the broader scientific community. He is skilled in grant writing, patent filing, and interdisciplinary collaborations, with active partnerships with NITK, NITPy, and VIT AP. His research acumen, combined with hands-on experience in deep learning and AI applications, positions him as a leader in advancing intelligent healthcare solutions through cutting-edge technology.

 📖 Publication Top Notes

  • Title: A deep neural network model for content-based medical image retrieval with multi-view classification
    Authors: K Karthik, SS Kamath
    Citation: 60
    Year: 2021
  • Title: A hybrid feature modeling approach for content-based medical image retrieval
    Authors: K Karthik, SS Kamath
    Citation: 16
    Year: 2018
  • Title: COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data
    Authors: V Mayya, K Karthik, KS Sowmya, K Karadka, J Jeganathan
    Citation: 13
    Year: 2021
  • Title: Analysis and prediction of fantasy cricket contest winners using machine learning techniques
    Authors: K Karthik, GS Krishnan, S Shetty, SS Bankapur, RP Kolkar, TS Ashwin, …
    Citation: 13
    Year: 2021
  • Title: MSDNet: A deep neural ensemble model for abnormality detection and classification of plain radiographs
    Authors: K Karthik, S Sowmya Kamath
    Citation: 12
    Year: 2023
  • Title: Deep neural models for automated multi-task diagnostic scan management—quality enhancement, view classification and report generation
    Authors: K Karthik, S Kamath
    Citation: 12
    Year: 2021
  • Title: Automatic quality enhancement of medical diagnostic scans with deep neural image super-resolution models
    Authors: K Karthik, SS Kamath, SU Kamath
    Citation: 6
    Year: 2020
  • Title: An automated robotic arm: a machine learning approach
    Authors: NSK Rao, NJ Avinash, HR Moorthy, K Karthik, S Rao, S Santosh
    Citation: 5
    Year: 2021
  • Title: Automated view orientation classification for x-ray images using deep neural networks
    Authors: K Karthik, S Kamath
    Citation: 3
    Year: 2021
  • Title: GAN-Based Encoder-Decoder Model for Multi-Label Diagnostic Scan Classification and Automated Radiology Report Generation
    Authors: R Kumar, K Karthik, SS Kamath
    Citation: 3

Prof. Dr. Chiachung Chen | Engineering | Best Researcher Award

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Prof. Dr. Chiachung Chen | Engineering | Best Researcher Award

Prof. Dr. Chiachung Chen | Engineering | Best Researcher Award

Dr. Chiachung Chen (陳加忠) is a Distinguished Professor in the Department of Bio-industrial Mechatronics Engineering at National Chung Hsing University in Taichung, Taiwan. With an impressive career devoted to agricultural engineering, Dr. Chen has contributed significantly to bio-industrial system integration and sustainable production processes. His expertise spans the optimization of production systems for various living organisms, from microorganisms and plants to animals and ecosystems, with applications extending even to advanced areas like space agriculture. Dr. Chen’s academic achievements have earned him global recognition, including multiple listings in Stanford University’s World’s Top 2% Scientists and numerous impactful publications. He has also actively contributed as a reviewer, earning the MDPI Top Reviewer Award and the Sensors Outstanding Reviewer Award. Dr. Chen’s dedication to promoting industrial research and global dialogue is evident through his administrative roles and prestigious invitations to international conferences.

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Summary of Suitability for the Research for Best Researcher Award

Dr. Chiachung Chen is an exemplary candidate for the “Research for Best Researcher Award” due to his outstanding achievements and impactful contributions in the field of Bio-industrial Mechatronics Engineering. As a distinguished professor at National Chung Hsing University, Dr. Chen’s academic credentials are robust, featuring a Ph.D. in Agricultural Engineering from the University of Minnesota and comprehensive degrees in Agricultural Engineering from National Taiwan University. His work stands out for its innovative approach, integrating and optimizing bio-industry production systems, with applications that range from advanced greenhouse technologies to space agriculture.

🎓 Education

Dr. Chiachung Chen holds a Ph.D. in Agricultural Engineering from the University of Minnesota, USA, where he developed a strong foundation in engineering principles and research methodologies essential for bio-industrial innovations. Prior to his doctoral studies, he completed his Master’s degree in Agricultural Engineering at National Taiwan University (NTU), Taiwan, where he focused on optimizing agricultural machinery and environmental engineering solutions. His undergraduate studies were also at NTU, where he obtained a Bachelor’s degree in Agricultural Engineering. Dr. Chen’s academic journey highlights his commitment to deepening knowledge in agricultural and bio-industrial systems, equipping him with expertise in designing and implementing technology-driven solutions for sustainable agricultural development. His education has positioned him as a thought leader in bio-industrial mechatronics engineering, fostering advancements in agricultural practices and contributing to the field’s evolution on a global scale.

💼  Professional Experience

Dr. Chiachung Chen has held key academic and leadership roles throughout his career. He served as the Head of the Department of Bio-industrial Mechatronics Engineering at National Chung Hsing University (2011-2014), where he championed academic excellence and research initiatives. He also led the Taiwan Commercial Orchid School (2007-2013), focusing on industry-academic collaboration to advance Taiwan’s orchid industry. As Director of the Africa Industrial Research Center (2019-2023), he facilitated international research projects and capacity-building programs. Dr. Chen’s professional experience includes extensive work on integrating bio-industrial systems and promoting global research collaboration. His research and leadership have resulted in impactful advancements in bio-industrial technology and sustainable agricultural practices, with a focus on enhancing production efficiency and ecological balance.

🏅  Awards and Recognitions

  1. World’s Top 2% Scientists (2020-2023): Recognized by Stanford University and Elsevier for significant contributions to science, Dr. Chen has appeared in lifetime and annual impact rankings from 1960 to 2023.
  2. 2020 MDPI Top Reviewer Award: Honored as one of 30 top reviewers from 369,916 scholars for contributions to MDPI journals.
  3. Top Cited Paper (2020): Co-authored a highly cited paper in the Sensors journal, titled “Investigation of the Impact of Infrared Sensors on Core Body Temperature Monitoring.”
  4. Sensors 2022 Outstanding Reviewer Award: Selected as one of five winners out of 25,000 reviewers, highlighting his influence in the field of sensor research.
  5. Kigali Global Dialogue (2023): Invited by the Observer Research Foundation to participate in a major global dialogue on sustainability in Kigali, Rwanda.

🌍 Research Skills

Dr. Chiachung Chen’s research skills are centered on the integration of bio-industrial systems, sustainable agricultural engineering, and the application of mechatronics in biological processes. He specializes in optimizing greenhouse technology and developing advanced sensors for agricultural monitoring. His work encompasses large-scale production systems, including microorganism cultivation, precision agriculture, and even space agriculture solutions. Dr. Chen is adept at interdisciplinary research, merging engineering principles with biological sciences to improve efficiency and sustainability. His innovative approach has resulted in numerous patents and scholarly publications, positioning him as a leader in using mechatronic solutions to address global agricultural challenges. His skills also include statistical analysis, system modeling, and experimental design, ensuring robust and replicable research outcomes.

📖 Publiaction Top Notes

  • Comparison of Classical and Inverse Calibration Equations in Chemical Analysis
  • The Effect of Temperature on the Inflorescence Formation Model for Phalaenopsis
  • Study on the Shape Characteristics and the Allometry of Phalaenopsis Leaves for Greenhouse Management
  • An Empirical Equation for Wet-Bulb Temperature Using Air Temperature and Relative Humidity
  • From Laboratory to Field: The Effect of Controlling Oscillations in Temperature on the Growth of Crops

Byounghyun Jeon | Engineering | Best Researcher Award

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Byounghyun Jeon | Engineering | Best Researcher Award

Master student at Sungkyunkwan University, South Korea 🎓

Byounghyun Jeon is a prominent researcher in the field of materials science, specializing in laser processing of 2D materials and surface enhancement Raman scattering. With a solid educational background, significant work experience, and notable awards, he has demonstrated expertise and leadership in his research. His commitment to interdisciplinary collaboration and innovation makes him a leading figure in advancing material science technologies

Professional Profile 

🎓Education🧑‍🎓

Byounghyun Jeon holds a Master of Engineering in Mechanical Engineering from Sungkyunkwan University, South Korea, where he is currently studying under the guidance of Associate Professor Kyunghoon Kim. He completed his Bachelor of Engineering in Mechanical and Automotive Engineering at Inje University, South Korea. His academic background provides a strong foundation in mechanical engineering, with a focus on advanced material processing and innovative technologies.

💼Work Experience

Byounghyun Jeon is an Associate Professor in the Complex Materials Engineering & Systems (COME) Lab at Sungkyunkwan University, where he leads research in 2D material laser processing. Previously, he completed internships at the Korea Institute of Science and Technology (KIST) and Inje University, gaining hands-on experience in soft convergence materials and automotive noise control. His work experience demonstrates a comprehensive understanding of material science and effective project management.

🔍Research Focus 

Jeon’s research centers on laser processing of 2D materials, surface-enhanced Raman scattering, and the development of innovative material composites. His work involves resolving complex material processing challenges and integrating interdisciplinary approaches to achieve groundbreaking results. His focus on cutting-edge technologies and their practical applications underscores his dedication to advancing the field of materials science.

🏆Awards and Honors

Jeon has received notable recognition for his research, including the Outstanding Poster Award from The Korean Society of Mechanical Engineers (KSME) in 2022. His contributions to the field are further underscored by his involvement in high-impact conferences and his upcoming publications, reflecting his commitment to advancing knowledge in material science and laser processing technologies.

Conclusion

Byounghyun Jeon is a highly suitable candidate for the Best Researcher Award due to his exceptional expertise in laser processing, interdisciplinary collaboration, and substantial contributions to the field of materials science. His innovative approach and leadership in research make him a standout candidate for this prestigious recognition.

📖Publications : 

  1. Flexible Composites Designed for Physic Sensors, and Their Electromechanical and Adhesive Performances
    • Authors: TS Vo, TS Nguyen, TTBC Vo, B Jeon, S Han, K Kim
    • Journal: Journal of Materials Science and Technology
    • Year: 2024
    • Status: In Submission
  2. Characteristics and Preliminary Healing Ability of Polydimethylsiloxane Elastomers
    • Authors: TS Vo, TS Nguyen, B Jeon, TTBC Vo, S Han, SH Lee, K Kim
    • Journal: Journal of Materials Research and Technology
    • Year: 2024
    • Status: Under Review R1
  3. A Comprehensive Review of Chitosan-Based Functional Materials: From History to Specific Applications
    • Authors: TS Vo, PP Chit, VH Nguyen, T Hoang, KM Lwin, TTBC Vo, B Jeon, S Han, J Lee, Y Park, K Kim
    • Journal: International Journal of Biological Macromolecules
    • Year: 2024
    • Status: Under Review R1
  4. A Comprehensive Review of Laser Processing-Assisted 2D Functional Materials, and Their Specific Applications
    • Authors: TS Vo*, B Jeon*, VPT Nguyen, T Hoang, KM Lwin, TTBC Vo, S Han, K Kim
    • Journal: Materials Today Physics
    • Year: 2024
    • DOI: 10.1016/j.mtphys.2024.101536
  5. Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications
    • Authors: TS Vo, T Hoang, TTBC Vo, B Jeon, K Kim
    • Journal: Advanced Healthcare Materials
    • Year: 2024
    • DOI: 10.1002/adhm.202303923