Mahad Rashid | Machine Learning | Best Researcher Award

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Mr Mahad Rashid | Machine Learning | Best Researcher Award

Senior Analytics Consultant at WorkSafe VIC, Australia

Mahad Rashid is an enthusiastic and skilled Analytics Consultant with a Master’s degree in Data Science from Deakin University. With over six years of experience in data analysis, machine learning, and software engineering, Mahad has a proven track record of developing data-driven solutions to enhance business operations and customer experiences. Proficient in Python, SAS, SQL, and data visualization tools like Power BI and Qlik, he has worked in diverse roles, including Senior Analytics Consultant at WorkSafe Victoria and Research Engineer at the Applied Artificial Intelligence Institute. Mahad is passionate about leveraging data to drive innovation and deliver impactful results. His expertise spans machine learning, deep learning, and statistical analysis, with a strong focus on MLOps and AI deployment. Mahad is also an effective communicator, capable of translating complex technical concepts for non-technical stakeholders.

Professional Profile

Scopus

Education 🎓

Mahad Rashid holds a Master of Data Science from Deakin University, Burwood (2019–2021), where he honed his skills in data analysis, machine learning, and AI. Prior to this, he completed his Bachelor of Software Engineering from the National University of Sciences and Technology, Pakistan (2014–2018), gaining a strong foundation in programming, software development, and data structures. Throughout his academic journey, Mahad demonstrated a keen interest in applying data science to solve real-world problems. He has also pursued additional certifications, including Getting Started with SAS Programming and Git and GitHub on Coursera (2024), showcasing his commitment to continuous learning and professional development.

Experience 💼

Mahad Rashid has a rich professional background spanning over six years. As a Senior Analytics Consultant at WorkSafe Victoria (2023–Present), he excels in data extraction, cleaning, and machine learning using Python and SQL. He also mentors junior consultants and creates insightful dashboards using Power BI. Previously, as a Research Engineer at the Applied Artificial Intelligence Institute, Deakin (2021–2023), he developed and deployed ML models, applied MLOps principles, and collaborated on AI research. Earlier, as a Software Engineer at CureMD, Pakistan (2018–2019), he designed machine learning applications and advanced data visualizations. Mahad’s expertise lies in leveraging data to drive innovation, improve decision-making, and deliver impactful solutions across industries.

Awards and Honors 🏆

While specific awards and honors are not explicitly mentioned in the provided profile, Mahad Rashid’s contributions to data science and AI research are evident through his publications and professional achievements. His work on high-voltage lithium cathode materials, published in ACS Applied Energy Materials (2024), highlights his involvement in cutting-edge research. Additionally, his role in mentoring junior consultants and leading analytics projects at WorkSafe Victoria underscores his recognition as a skilled and reliable professional. Mahad’s commitment to continuous learning, evidenced by his certifications in SAS and Git, further reflects his dedication to excellence in the field of data science.

Research Focus 🔍

Mahad Rashid’s research focuses on applying machine learning, deep learning, and AI to solve complex problems across various domains. His work includes developing and deploying ML models for classification, regression, and image detection, as well as applying MLOps principles to streamline data science workflows. He has also contributed to research on high-voltage lithium cathode materials using Bayesian optimization and first-principles studies, showcasing his interdisciplinary expertise. Mahad is passionate about leveraging data-driven approaches to improve business operations, enhance customer experiences, and drive innovation. His research interests extend to data visualization, statistical analysis, and AI-driven decision-making, with a strong emphasis on delivering practical, impactful solutions.

Publication Top Notes 📚

  1. High-Voltage, High Capacity Aluminum-Rich Lithium Cathode Materials: A Bayesian Optimization and First-Principles Study – ACS Applied Energy Materials, 2024.

Conclusion 🌟

Mahad Rashid is a highly skilled and passionate data science professional with a strong academic background and extensive industry experience. His expertise in data analysis, machine learning, and AI, combined with his ability to communicate complex ideas effectively, makes him a valuable asset to any organization. Mahad’s commitment to innovation, continuous learning, and delivering impactful results positions him as a leader in the field of data science and analytics.

 

Zhang Xihua | Environmental Engineering | Best Researcher Award

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Assoc. Prof. Dr Zhang Xihua | Environmental Engineering | Best Researcher Award

Associate Professor at Shanghai Polytechnic University, china

Dr. Xihua Zhang is a distinguished researcher affiliated with Shanghai Polytechnic University. With an extensive background in materials science and environmental engineering, Dr. Zhang has significantly contributed to the field of lithium-ion battery recycling and sustainable resource management. His research has been instrumental in advancing mechanochemical methods for metal recovery, selective lithium extraction, and sustainable recycling practices. Over the years, he has published numerous high-impact journal articles, demonstrating his expertise and commitment to addressing critical challenges in resource sustainability.

profile

ORCID

Scopus

Education

Dr. Zhang has a strong academic foundation in materials science and environmental technology. His educational background has equipped him with advanced knowledge in chemical engineering, sustainable material processing, and waste management, which have been pivotal in shaping his research career. Throughout his academic journey, he has developed expertise in mechanochemical and hydrometallurgical processes, focusing on enhancing the efficiency of metal extraction from spent lithium-ion batteries.

Experience

With years of experience in academia and research, Dr. Zhang has collaborated with several leading institutions and experts in the field. His work spans interdisciplinary domains, including energy storage materials, circular economy practices, and green chemistry. He has served as a reviewer for multiple high-impact journals and has contributed to the development of innovative recycling technologies. His research findings have been widely cited, reflecting his influence in advancing environmentally friendly metal recovery processes.

Research Interests

Dr. Zhang’s research interests primarily focus on sustainable materials processing and recycling technologies. His work includes mechanochemical methods for extracting valuable metals from spent lithium-ion batteries, selective recovery of lithium, and environmentally friendly leaching processes. He is also interested in exploring the role of nickel recycling in new energy vehicle industries and the optimization of closed-loop battery recycling methods. His contributions aim to enhance the efficiency and sustainability of battery recycling to support the growing demand for energy storage materials.

Awards

Dr. Zhang has been recognized for his contributions to battery recycling and sustainable resource management. His research has received accolades from academic and industrial communities, reflecting the significance of his work in advancing environmental sustainability. His awards and honors highlight his dedication to pioneering innovative and efficient recycling techniques that align with global efforts to minimize electronic waste and promote a circular economy.

Publication Top Notes

“Mechanism and technological method of leaching metals from waste lithium-ion batteries by synergistic action of natural organic reductants and mechanochemical method” – Published in Separation and Purification Technology, Jan 2025. (Cited: 1)

“Material flow analysis on the critical resources from spent power lithium-ion batteries under the framework of China’s recycling policies” – Published in Waste Management, Nov 2023. (Cited: 6)

“A mechanochemical method for one-step leaching of metals from spent LIBs” – Published in Waste Management, Apr 2023. (Cited: 12)

“Recovery of Li and Co from Spent Li-Ion Batteries by Mechanochemical Integration with NH4Cl” – Published in ACS Sustainable Chemistry & Engineering, May 2022. (Cited: 11)

“Selective Recovery of Lithium from Spent Lithium-ion Batteries Synergized by Carbon and Sulfur Elements” – Published in Acta Chimica Sinica, Aug 2021. (Cited: 5)

“The role of nickel recycling from nickel-bearing batteries on alleviating demand-supply gap in China’s industry of new energy vehicles” – Published in Resources, Conservation and Recycling, Jul 2021. (Cited: 36)

“Recycling of LiNi1/3Co1/3Mn1/3O2 cathode materials from spent lithium-ion batteries using mechanochemical activation and solid-state sintering” – Published in Waste Management, Feb 2019. (Cited: 144)

Conclusion

With a strong publication record, high citation impact, and groundbreaking research in sustainable battery recycling, Dr. Xihua Zhang is a highly deserving candidate for the Best Researcher Award. His work not only advances scientific knowledge but also plays a pivotal role in promoting sustainable and environmentally responsible practices in energy storage and recycling industries

Waris Ali | Computer Science | Best Researcher Award

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Mr Waris Ali | Computer Science | Best Researcher Award

Student, Beijing University of Technology, China

Waris Ali is a PhD scholar in the Department of Information Technology at Beijing University of Technology, China. With extensive academic and professional experience in Computer Science, he has worked as a lecturer at multiple institutions in Pakistan, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College. Throughout his career, Waris has demonstrated strong interpersonal skills and cultural competence, which have helped him foster a collaborative learning environment. His work focuses on advanced technologies like distributed systems, IoT, and artificial intelligence, with a particular emphasis on content delivery networks (CDNs) and multi-CDN deployment. Waris is committed to pushing the boundaries of technology through his research, contributing valuable insights to both academia and industry.

PROFESSIONAL PROFILE

Google Scholar

EDUCATION

Waris Ali is currently pursuing a PhD in Computer Science (2022-2026) at Beijing University of Technology, China. He completed his M.Phil. in Computer Science in 2020 from The Islamia University of Bahawalpur, where he achieved an impressive CGPA of 3.74/4.0. He also holds a Bachelor of Science in Information Technology (2013-2017) from the same institution, graduating with a CGPA of 3.889/4.0. Waris completed his intermediate studies in Science (FSc Pre-Engineering) in 2013, securing 730/1100 marks from the Board of Intermediate and Secondary Education. His academic journey reflects a strong foundation in computer science and information technology, positioning him for success in his current research.

EXPERIENCE

Waris Ali has garnered substantial experience as a lecturer in Computer Science at various prestigious institutions, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College, Yazman. He has also worked as a web developer at Digicon Computer Center, Bahawalpur. His teaching experience spans from 2017 to 2022, during which he has consistently demonstrated excellent communication and interpersonal skills. Waris has built strong relationships with both students and faculty, creating a supportive educational environment. His ability to collaborate with students from diverse backgrounds has enriched the learning experience, especially in international settings. This experience complements his academic research and professional growth.

AWARDS AND HONORS

Waris Ali’s dedication to research and academic excellence has earned him recognition in his field. He received accolades for his contribution to the study of content delivery networks in Pakistan. His work, “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan,” was published in the Pakistan Journal of Engineering and Technology. Additionally, Waris presented at notable conferences such as the 4th Asia Pacific International Conference on Emerging Engineering (APICEE), where he discussed multi-CDN deployment. He has also participated in the 2nd International Computer Science Conference, showcasing his ongoing commitment to advancing the field of Computer Science.

RESEARCH FOCUS

Waris Ali’s research interests lie in distributed systems, reliable networks, content delivery networks (CDNs), IoT applications, artificial intelligence, and data science. His work aims to analyze and improve the performance and deployment of multi-CDNs, with a focus on their application in Pakistan. His research contributes valuable insights into optimizing the efficiency of these networks, as well as exploring the potential of emerging technologies in real-world applications. With his current research as a PhD candidate at Beijing University of Technology, Waris is working to expand the boundaries of knowledge in these cutting-edge fields.

PUBLICATION TOP NOTES

  • “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” — Pakistan Journal of Engineering and Technology 📖
  • “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” — 4th Asia Pacific International Conference on Emerging Engineering (APICEE), 2021 📚
  • “The 2nd International Computer Science Conference” — International Conference on Intelligent Technologies & Applications (INTAP), 2019 💻

CONCLUSION

Waris Ali is a promising researcher and academic in the field of Computer Science, dedicated to advancing the understanding and application of emerging technologies. With a solid educational background and diverse professional experience, he continues to contribute valuable research on content delivery networks, artificial intelligence, and IoT applications. His commitment to excellence in both teaching and research underscores his role as an influential figure in the global tech community.

Olivier MASSOL | Technology Policy | Best Researcher Award

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Prof Olivier MASSOL | Technology Policy | Best Researcher Award

Professor, CentraleSupelec – Univeristy Paris Saclay, France

Olivier Massol is a Full Professor of Energy Economics at CentraleSupélec, University Paris-Saclay, where he has been serving since 2024. He is a leading researcher in energy economics, with a focus on energy transitions, decarbonization strategies, and resource economics. Professor Massol heads the Energy Transitions Research Initiative at the Climate Economics Chair and is the Executive Director of the “Economics of Gas” Chair. He has a prolific academic career, including positions at City, University of London, and IFP School, where he significantly contributed to energy and market programs. His work bridges academia and industry, with over 28 publications cited globally.

PROFESSIONAL PROFILE

Orcid

Scopus

STRENGTHS FOR THE AWARD

  1. Academic and Research Contributions:
    • Currently a Full Professor of Energy Economics at CentraleSupelec, University Paris-Saclay, and Research Fellow at the Industrial Engineering Lab, reflecting his leadership in the field.
    • Published extensively on topics such as decarbonization, energy transitions, CO₂ infrastructure, and sustainable energy policies. His recent work includes influential reviews and articles in high-impact journals like Renewable and Sustainable Energy Reviews and Environmental Research Letters.
  2. Research Impact:
    • 28 documents published with 289 citations and an h-index of 9, indicating a strong research footprint and influence in his domain.
    • Collaborative works with renowned institutions and scholars, emphasizing his ability to lead impactful research initiatives.
  3. Leadership in Research Initiatives:
    • Head of the Energy Transitions Research Initiative and Executive Director of significant research chairs like “The Economics of Gas,” fostering interdisciplinary collaboration and thought leadership in energy policy and economics.
  4. Diverse Teaching and Mentorship:
    • Offers expertise in Energy, Natural Resources, Environmental Economics, and Applied Econometrics. His teaching roles across various academic levels demonstrate his commitment to developing future researchers.
  5. Professional Recognition:
    • Accredited to supervise research in Economics (H.D.R.), which underscores his qualification and recognition as a top academician in his field.

AREAS FOR IMPROVEMENT

  1. Broader Citation Impact:
    • While his citation record is commendable, increasing outreach or impact in global interdisciplinary studies might enhance his influence further.
  2. Focus on Policy Applications:
    • Though his research covers essential theoretical and empirical aspects, emphasizing practical applications in global energy policy or climate change mitigation could broaden his recognition.
  3. Engagement with Industry Stakeholders:
    • Expanding collaborations with industry stakeholders beyond academic and governmental levels could further underline his relevance in applied energy economics.

EDUCATION

🎓 2021: H.D.R. Accreditation to supervise research, University Paris-Dauphine.
🎓 2013: PhD in Economics, City, University of London (UK).
🎓 2002: Ingénieur in Energy Economics & Management, IFP School, France.
🎓 2001: Ingénieur Civil des Mines, École Nationale Supérieure des Mines, Saint-Étienne, France.
🎓 2000: B.A. in Economics, Université Jean Monnet, France.
His robust academic foundation spans economics, industrial organization, and energy management, shaped by top-tier institutions.

EXPERIENCE

🔹 2024–Present: Full Professor, CentraleSupélec, University Paris-Saclay.
🔹 2021–Present: Head, Energy Transitions Research Initiative, Climate Economics Chair.
🔹 2014–Present: Honorary Research Fellow, City, University of London.
🔹 2007–2024: Faculty roles at IFP School, including Scientific Assistant Director.
🔹 2000–2007: Economist, Gaz de France (now ENGIE).
Professor Massol has over two decades of experience, blending academic expertise and practical insights into energy and climate economics.

AWARDS AND HONORS

🏆 France’s National Qualification for Professorship in Economics, 2021.
🏆 Numerous recognitions for his contributions to energy transitions and climate economics.
🏆 Regular keynote speaker at international conferences on energy and sustainability.
🏆 Esteemed memberships in academic and professional bodies.
His accolades reflect a dedication to advancing knowledge in energy economics.

RESEARCH FOCUS

🔬 Energy transitions and decarbonization strategies.
🔬 Economics of natural gas and biogas markets.
🔬 Policies for carbon capture, storage, and CO₂ infrastructure.
🔬 Integration of renewable energy into global markets.
🔬 Sustainable aviation fuels and hydrogen energy systems.
Professor Massol’s research integrates economic modeling with policy insights to address global energy challenges.

PUBLICATION TOP NOTES

📘 Decarbonizing Aviation with Sustainable Aviation Fuels: Myths and Realities
📘 Mapping the Landscape of Carbon Dioxide Removal Research
📘 Unlocking European Biogas and Biomethane: Policy Insights
📘 Trade Sanctions and International Market Integration
📘 Is Power-to-Gas Always Beneficial? The Implications of Ownership Structure
📘 Metals and Energy Transition: Towards New Dependencies?
📘 Build More and Regret Less: Oversizing H2 and CCS Pipelines
📘 Modeling CO₂ Pipeline Systems: Analytical Lens for CCS Regulation
📘 Unlocking CO₂ Infrastructure Deployment: Carbon Removal Accounting
📘 Coordinating Bioenergy Deployment with Carbon Capture and Storage

CONCLUSION

Olivier Massol’s exceptional academic achievements, leadership roles in research initiatives, and impactful publications make him highly suitable for the Best Researcher Award. While his contributions are profound, expanding his practical applications and increasing interdisciplinary engagement can further solidify his position as a global leader in energy economics and environmental policy research. His extensive work aligns perfectly with the core values of excellence, innovation, and impact recognized by this award.

Fangyu Wu – Artificial Intelligence – Best Researcher Award

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Fangyu Wu - Artificial Intelligence - Best Researcher Award

AUTHOR PROFILE

SCOPUS

ACADEMIC AND PROFESSIONAL BACKGROUND

Fangyu Wu is a distinguished researcher and academic in the field of computer science, specializing in deep learning, multi-modal learning, and intelligent data analysis. He is currently an Associate Professor at Xi’an Jiaotong-Liverpool University (XJTLU) in China, where he supervises PhD and Master's students focusing on innovative research topics such as multi-modal learning and deep learning for computer vision. His previous role included co-supervising PhD students at Zhejiang University, contributing to advancements in facial recognition and image-text retrieval.

HONORS AND AWARDS

Dr. Wu's achievements have been recognized through several prestigious awards. He was named a Suzhou Youth Innovation Leading Talent in 2023 and won first prize at the 7th China Innovation Challenge for his project on intelligent tracking systems using infrared thermal imaging. Additionally, he received the Lotfi Zadeh Best Paper Award at ICMLC&ICWAPR 2017 and has been honored with the Outstanding Graduates award from Xi’an Jiaotong-Liverpool University and National Encouragement Scholarships from China.

RESEARCH PROJECTS

Fangyu Wu leads several high-impact research projects. These include “Intelligent Multimodal Data Analysis for Digital Twin Cities” under the Gusu Innovation and Entrepreneurship Leading Talents Programme, and “Relational Modeling and Reasoning for Reliable Cross-Modal Retrieval” funded by the Zhejiang Natural Science Foundation. His projects also cover advanced topics such as distributed AI platforms for Metaverse scenarios and optimization software for injection molding processes.

PUBLICATIONS

Dr. Wu has an extensive list of publications in top-tier conferences and journals. Notable works include papers on fine-grained image-text matching, relation-aware prototype networks, and pose-robust face recognition. His research has been featured at prestigious conferences such as CVPR, ECCV, and ICPR, showcasing his contributions to advancements in deep learning and computer vision.

CONFERENCE ORGANIZATION

In addition to his research, Fangyu Wu plays a vital role in organizing academic conferences. He served as the Publication Chair for the IEEE 17th International Conference on Computer Science & Education (ICCSE 2022) and as General Co-Chair for the 5th International Symposium on Emerging Technologies for Education (SETE 2020). His involvement ensures the smooth execution of these events and contributes to the dissemination of cutting-edge research.

STUDENT SUPERVISION

Fangyu Wu is actively engaged in supervising students at both the PhD and Master’s levels. He currently supervises a PhD student at XJTLU focusing on multi-modal learning and has previously co-supervised a PhD student at Zhejiang University on deep learning for computer vision. His mentorship extends to six Master’s students at XJTLU and three at Zhejiang University, covering areas such as facial recognition and image-text retrieval.

COMPETITIONS AND RECOGNITION

Dr. Wu has achieved notable success in various competitions. His project on human motion recognition based on deep neural networks won third prize at the China First Smart Manufacturing and Big Data Innovation Competition. Additionally, his participation in competitions has been marked by significant awards, including the first prize in the China Innovation Challenge for his intelligent tracking system.

NOTABLE PUBLICATION

  • Fine-grained Image-text Matching by Cross-modal Hard Aligning Network
    • Authors: Pan, Z., Wu, F., Zhang, B.
    • Year: 2023
    • Conference: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)
    • Pages: 19275–19284
  • Knowledge-embedded Prompt Learning for Zero-shot Social Media Text Classification
    • Authors: Li, J., Chen, Q., Wang, W., Wu, F.
    • Year: 2023
    • Conference: IEEE International Conference on Smart Computing (SMARTCOMP)
    • Pages: 222–224
  • Kernel Triplet Loss for Image-Text Retrieval
    • Authors: Pan, Z., Wu, F., Zhang, B.
    • Year: 2022
    • Conference: Computer Animation and Virtual Worlds
    • Article: e2093
  • FaceCaps for Facial Expression Recognition
    • Authors: Wu, F., Pang, C., Zhang, B.
    • Year: 2021
    • Conference: Computer Animation and Virtual Worlds
    • Article: e2021

Lili Nurliyana Abdullah – computer technology – Best Researcher Award

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Lili Nurliyana Abdullah - computer technology - Best Researcher Award

UPM - Malaysia

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Lili Nurliyana Abdullah's academic journey began with a Diploma in Computer Science from Universiti Pertanian Malaysia in 1990. She went on to earn a Bachelor's degree in Computer Science from Universiti Putra Malaysia in 1992, graduating with a 2nd Class Upper division. Her pursuit of higher education continued in the UK, where she obtained a Master in Engineering with a specialization in Telematics from the University of Sheffield in 1996. Lili's academic endeavors culminated in a Ph.D. in Information Science from the National University of Malaysia in 2007.

PROFESSIONAL ENDEAVORS

Lili's professional career spans various prestigious roles and institutions. She started as a tutor in Computer Science at UPM in 1993 and progressed to become a lecturer and then an Associate Professor in the Multimedia Department. She also served as the Head of the Multimedia Department at UPM from 2009 to 2012. Beyond academia, she worked as a Project Consultant at Catapult Studios and held teaching attachments and training roles at several universities, including Univ Taibah in Saudi Arabia and L.N. Gumilyov Eurasian National University in Kazakhstan.

CONTRIBUTIONS AND RESEARCH FOCUS

Lili Nurliyana Abdullah's research primarily focuses on computer technology and its applications. Her expertise in multimedia, digital content, and green computing has led to significant contributions in these fields. She has been actively involved in curriculum design, project consultancy, and professional development training, particularly in the areas of multimedia and STEM. Lili's dedication to green computing is evident through her certifications and her role in the Malaysian Communications and Multimedia Commission's Green IT initiatives.

IMPACT AND INFLUENCE

Lili's work has had a profound impact on both academic and professional communities. She has been recognized with numerous awards, including the Lifetime Achievement Award from the International Scientist Awards on Engineering, Science, and Medicine in 2022, and the Outstanding Educator Award from Lattice Science Publication in 2021. Her contributions to computer technology and green computing have influenced policy making, curriculum development, and environmental sustainability in IT practices.

ACADEMIC CITES

Lili's scholarly work is highly regarded, with numerous citations reflecting her influence in the academic community. Her research has been widely published and cited, contributing significantly to the fields of computer technology, green computing, and multimedia applications. She has also served as a peer reviewer and editorial board member for several esteemed journals and conferences, further establishing her reputation as a leading expert in her field.

LEGACY AND FUTURE CONTRIBUTIONS

Lili Nurliyana Abdullah's legacy lies in her pioneering contributions to computer technology and green computing. Her work has laid the foundation for future research and development in sustainable IT practices and multimedia technology. As she continues to innovate and collaborate, Lili's future contributions are expected to further advance these fields, fostering a more sustainable and technologically advanced society.

COMPUTER TECHNOLOGY

Throughout her career, Lili Nurliyana Abdullah has focused on advancing computer technology through her research, teaching, and professional endeavors. Her work on digital content and multimedia applications has enhanced the educational landscape, while her commitment to green computing has promoted sustainable IT practices. Lili's dedication to computer technology is reflected in her extensive professional engagements, certifications, and contributions to policy making and curriculum development in the field. As a recognized leader in computer technology, she continues to inspire and influence future generations of researchers and practitioners.

NOTABLE PUBLICATION

Students’ satisfaction levels of an immersive extended reality for engine assembly tasks in engineering empirical education 2023

Deep learning mango fruits recognition based on tensorflow lite 2023

Playing Gamelan Bonang in the Air: User Requirements for Designing a Digital Musical Instrument for the Malay Bonang 2022 (3)

Comparison of Edge Detection Algorithms for Texture Analysis on Copy-Move Forgery Detection Images 2022 (2)