Md Kazi Hafizur Rahman | Technology | Excellence in Research

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Mr. Md Kazi Hafizur Rahman | Technology | Excellence in Research

Lecturer at Department of Business Administration University of Global Village (UGV),  Bangladesh

Md. Kazi Hafizur Rahman exemplifies a research-driven academic with remarkable productivity in a short span, especially notable for his age and early career stage. His interdisciplinary contributions to AI, sustainability, HRM, and youth development set him apart as a rising research leader. His ability to translate complex research into social impact, along with leadership in academic and non-academic roles, makes him highly

AUTHOR PROFILE

🎓 Education

Md. Kazi Hafizur Rahman holds a Master of Business Administration (MBA) in Human Resource Management from the Department of Management Studies at the University of Barishal, graduating in 2024 with a stellar CGPA of 3.96 out of 4.00. His thesis explored the integration of Artificial Intelligence in HRM, focusing on its impact on efficiency, inclusivity, and sustainable competitive advantage. He completed his Bachelor of Business Administration (BBA) in the same department with a CGPA of 3.72 in 2023. Earlier academic milestones include a Higher Secondary Certificate (HSC) from Govt. Sayed Hatem Ali College, Barishal in 2017 (GPA: 4.67) and a Secondary School Certificate (SSC) from Collegiate High School, Barishal in 2015 (GPA: 4.72).

👩‍🏫 Teaching Experience

Currently serving as a Lecturer in the Department of Business Administration at the University of Global Village (UGV), Barishal since October 2024, Kazi Hafizur Rahman combines academic rigor with impactful community engagement. As an Independent Researcher, he has authored numerous scholarly articles published in top-tier journals indexed in WoS, Scopus, and ABDC, while also serving as a reviewer for IEEE Access and similar outlets. He has contributed to multiple UGC-funded research projects as a Research Assistant, focusing on tourism development and climate change impact on coastal economies. From 2018 to 2024, he was affiliated with the Daily Dokhiner Somoy, progressing from Campus Correspondent to News Editor, while also managing editorial content for the education-focused page “Somoyer Sikkha.” In addition, he has facilitated leadership and civic training programs with the British Council, The Hunger Project, and others, and led social action projects with international recognition, including an award-winning initiative at COP-26.

🛰️ Research Focus

His research interests center on Artificial Intelligence integration in management, green innovation, corporate sustainability, entrepreneurship, and digital transformation. He has co-authored over 10 peer-reviewed articles published in highly ranked journals such as Business Strategy and the Environment, Environment, Development and Sustainability, and Sustainability, with topics covering STARA capabilities, GHRM, circular economy, and the impact of AI and digital tools on performance and learning outcomes. His work is often cross-disciplinary, blending insights from human resources, environmental studies, and technology management.

🛠️ Skills

Kazi Hafizur Rahman demonstrates exceptional technological proficiency in tools such as SPSS, AMOS, SMART PLS, and MS Office Suite, with advanced capabilities in both Bengali and English typing. His interpersonal competencies include a proactive mindset, strong work ethic, and relationship-building skills, complemented by excellent communication abilities in public speaking, anchoring, news presenting, and content writing. Furthermore, he excels in delivering virtual training and adapting to emerging technologies quickly and effectively.

🏆 Awards and Honors

Kazi Hafizur Rahman was a Co-Principal Investigator for a research project titled “Leveraging AI to Attain Sustainable Performance through Knowledge Management and Innovation”, which was granted BDT 5,00,000 by Ahsanullah University of Science and Technology (AUST) under the AIRG program in 2025. He co-led the COP-26-recognized social action project on sustainable urban environmental management. His leadership roles include serving as President of the Management Studies Association (2021-2022), General Secretary of Barishal University Press Club (2022-2024), and multiple key positions in student and social organizations such as CRC Foundation, SERAC Bangladesh, and Bangladesh Human Rights Commission, Barishal Unit.

📚Publication 

Title: Mediating role of entrepreneurial intention on the relationship between entrepreneurship education and employability: a study on university students from a developing country
Authors: MAI Gazi, MKH Rahman, MF Yusof, AA Masud, MA Islam, ARS Senathirajah, MA Hossain
Source: Cogent Business & Management, 11(1), 2294514
Year: 2024
Citations: 37

Title: AI capability and sustainable performance: unveiling the mediating effects of organizational creativity and green innovation with knowledge sharing culture as a moderator
Authors: MAI Gazi, MKH Rahman, AA Masud, MB Amin, NS Chaity, ARS Senathirajah, M Abdullah
Source: Sustainability, 16(17), 7466
Year: 2024
Citations: 17

Title: Fostering sustainability through technological brilliance: a study on the nexus of organizational STARA capability, GHRM, GSCM, and sustainable performance
Authors: AA Masud, MT Islam, MKH Rahman, MH Or Rosid, MJ Rahman, T Akter, K Szabó
Source: Discover Sustainability, 5(1), 325
Year: 2024
Citations: 10

Title: Adaptability and resilience: Insights into Bangladeshi E-commerce customer behavior during COVID-19
Authors: MAI Gazi, AA Masud, MKH Rahman, MR Islam, A Senathirajah
Source: Environment and Social Psychology, 9(7), 2626
Year: 2024
Citations: 7

Title: Impact of green banking practices on green CSR and sustainability in private commercial banks: the mediating role of green financing activities
Authors: MAI Gazi, A Al Masud, S bin Kabir, NS Chaity, AR bin S Senathirajah, MKH Rahman
Source: Journal of Sustainability Research, 6(4)
Year: 2024
Citations: 5

Title: AI capability and sustainable performance: unveiling the mediating effects of organizational creativity and green innovation with knowledge sharing culture as a moderator
Authors: MAI Gazi, MKH Rahman, AA Masud, MB Amin, NS Chaity, A Senathirajah, M Abdullah
Source: Sustainability, 16(17), 7466
Year: 2024
Citations: 5

Title: Paving the way of entrepreneurship for university students: the role of innovativeness, technological adaptability, and self-management, with risk-taking and family support as moderators
Authors: MAI Gazi, AT Mim, AA Masud, MKH Rahman, MB Amin, ARS Senathirajah
Source: Cogent Education, 12(1), 2455230
Year: 2025
Citations: 4

Title: Sustainable embankment contribute to a sustainable economy: The impact of climate change on the economic disaster in coastal area
Authors: MAI Gazi, A Al Masud, MKH Rahman, MB Amin, M Emon
Source: Environmental Development, 55, 101208
Year: 2025

🏁conclusion

Md. Kazi Hafizur Rahman is an ideal candidate for the Research for Excellence in Research Award. His scholarly rigor, publication quality, project leadership, and community engagement are all aligned with the core criteria of the award. With continuous growth in collaboration, applied research, and citation impact, he is poised to become a future academic thought leader in sustainability and technological innovation.

Dr.Nabih Pico | Autonomous Robot Navigation | Best Researcher Award

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Dr. Nabih Pico | Autonomous Robot Navigation | Best Researcher Award

Research Professor, Sungkyunkwan University, South Korea

Dr. Nabih Pico is an accomplished researcher and educator in the field of autonomous robot navigation and artificial intelligence. With a Ph.D. in Mechanical Engineering from Sungkyunkwan University, South Korea, he is an expert in mobile robots, robotics intelligence, and machine learning. He currently serves as a Research Professor at Sungkyunkwan University, leading cutting-edge research in robotics, and is also an Assistant Professor at ESPOL-FIEC, Ecuador. Throughout his career, Dr. Pico has made significant strides in the development of autonomous navigation systems, dynamic obstacle tracking, and deep reinforcement learning. His work has been recognized globally, earning awards such as the Grand Prize in Research from Sungkyunkwan University. He has contributed extensively to academic publications, conferences, and has filed numerous patents in the robotics domain. His research continues to push boundaries in autonomous robot navigation, improving performance in diverse and challenging environments.

Profile

Orcid

Education

Dr. Nabih Pico completed his Ph.D. in Mechanical Engineering from Sungkyunkwan University, South Korea, where he focused on autonomous robot navigation, machine learning, and deep reinforcement learning. He earned his Bachelor’s degree in Electronics and Telecommunications Engineering from Escuela Politécnica del Litoral, Ecuador, in 2014. During his Ph.D. studies, Dr. Pico specialized in robotics, working extensively on mobile robot design, dynamic obstacle recognition, and innovative solutions for autonomous navigation in outdoor and indoor environments. His research journey has helped shape the development of smarter, more adaptive robotic systems.

Experience

Dr. Nabih Pico currently holds positions as a Research Professor at Sungkyunkwan University, where he leads research in autonomous robot navigation and AI applications for robotics. He is also an Assistant Professor at ESPOL-FIEC, Ecuador, focusing on robotics and teaching remotely. Dr. Pico’s past roles include a Postdoctoral Research position at Sungkyunkwan University in collaboration with Hyundai Robotics, where he led projects on AI-driven obstacle recognition and dynamic navigation. Previously, he was a Ph.D. student at Sungkyunkwan University-KETI, where he pioneered mobile robot development capable of climbing stairs and detecting irregular terrains using LiDAR sensors. His work has included designing robots to navigate diverse environments and improving their stability and adaptability. Dr. Pico has led multiple industrial and academic projects, contributed to scientific papers, and patented innovative solutions for robotics challenges.

Awards and Honors

Dr. Nabih Pico’s academic achievements have been recognized with several prestigious awards. He received the Grand Prize in Research at the School of Mechanical Engineering, Sungkyunkwan University, for his work on enhancing the intelligence of robots for autonomous navigation in indoor environments based on Deep Reinforcement Learning. In 2024, Dr. Pico was honored with the Postdoctoral Research Award at the 2024 Graduate School Research Achievement Competition at Sungkyunkwan University. His research excellence and contributions to robotics also earned him accolades like the SKKU Human-Centered Convergence Machine Solution Future Talent Training Award. These honors highlight his profound impact on the field of robotics and his leadership in autonomous navigation research, which has advanced the development of intelligent mobile robots.

Research Focus 

Dr. Nabih Pico’s research focuses on autonomous robot navigation, machine learning, and artificial intelligence applications in robotics. He specializes in deep reinforcement learning (DRL) for improving robot decision-making and autonomy in dynamic environments. His projects revolve around mobile robots designed to navigate through complex and irregular terrains, including stairs, slopes, and obstacles. Dr. Pico has developed various solutions, such as dynamic obstacle recognition and the integration of LiDAR sensors for terrain detection. He is committed to advancing the capabilities of robots for both indoor and outdoor applications, including in industrial settings where robots must adapt to challenging conditions. His research also emphasizes enhancing robot mobility through innovative suspension systems and autonomous control strategies. With a keen interest in real-time processing and multi-sensor fusion, Dr. Pico continues to explore ways AI and machine learning can improve robot performance and decision-making in diverse environments.

Publication Top Notes

  1. Memory-driven deep-reinforcement learning for autonomous robot navigation in partially observable environments 📄
  2. Integrating Radar-Based Obstacle Detection with Deep Reinforcement Learning for Robust Autonomous Navigation 🛠️
  3. Task-Motion Planning System for Socially Viable Service Robots Based on Object Manipulation 🤖
  4. Unloading sequence planning for autonomous robotic container-unloading system using A-star search algorithm 🛳️
  5. Simultaneous Multi-channel Positive and Negative Pneumatic Boosting System for Operating Pneumatic Soft Actuators 🌬️
  6. Static and Dynamic Collision Avoidance for Autonomous Robot Navigation in Diverse Scenarios based on Deep Reinforcement Learning ⚙️
  7. Variable Admittance Control for Compliant Collaboration in Physical Human-Robot-Environment Interaction 👫
  8. Application of A Reliable Dynamic Friction Model for Accurate Dynamic Model Parameters Estimation of Robot Manipulators 🔧
  9. Box segmentation, position, and size estimation for robotic box handling applications 📦
  10. Climbing control of autonomous mobile robot with estimation of wheel slip and wheel-ground contact angle 🚶‍♂️

 

Li Ding | Robotics | Best Researcher Award

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Prof. Li Ding | Robotics | Best Researcher Award

Professor, Jiangsu University of Technology, China

Ding Li is an Associate Professor at the College of Mechanical Engineering, Jiangsu University of Technology. With a robust academic background and extensive research experience, he specializes in mechatronic engineering, particularly focusing on robotic systems and control dynamics.

Profile

Scopus

🎓 Education

Ding Li completed his educational journey with a Ph.D. in Mechatronic Engineering from Nanjing University of Aeronautics and Astronautics (2013-2016). Prior to this, he earned a Master’s in Mechanical Engineering from Anhui University of Science and Technology (2011-2013) and a Bachelor’s in Mechanical Manufacturing and Automation from Jiangsu University of Technology (2007-2011).

💼 Experience

Ding has held various academic positions, including:

  • Associate Professor (June 2019 – Present) at Jiangsu University of Technology
  • Associate Professor (November 2021 – August 2022) at the National Natural Science Foundation of China
  • Lecturer (October 2016 – May 2019) at Jiangsu University of Technology
  • Lecturer (March 2018 – March 2019) at Hong Kong Polytechnic University

🔬 Research Interests

Ding’s research interests encompass the dynamics and control of robotic systems, particularly in areas such as cable-driven manipulators, intelligent operating flying robots, and hydraulic systems. His work aims to enhance automation and efficiency in various engineering applications.

🏆 Awards

Ding Li has received several prestigious accolades, including:

  • First Prize for Science and Technology Progress from the China Mechanical Engineering Society (3rd class, 2022)
  • Outstanding Youth Key Teacher Award from Jiangsu University’s “Blue Project” (2022)
  • Changzhou Natural Science Excellence Award (2nd prize, 2019)

📚 Publications Top Notes

Ding Li has contributed significantly to academic literature, with notable publications including:

Optimal Joint Space Control of a Cable-Driven Aerial Manipulator (Computer Modeling in Engineering & Sciences, 2023)

Observer-Based Control for a Cable-Driven Aerial Manipulator under Lumped Disturbances (CMES – Computer Modeling in Engineering & Sciences, 2023)

Adaptive Robust Control via a Nonlinear Disturbance Observer for Cable-driven Aerial Manipulators (International Journal of Control, Automation and Systems, 2023)

Francisco J. G. Silva – Robotics – Excellence in Research

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Francisco J. G. Silva - Robotics - Excellence in Research

Polytechnic Institute of Porto - Portugal

AUTHOR PROFILE

SCOPUS

🎓 ACADEMIC AND PROFESSIONAL EDUCATION

Francisco J. G. Silva is a Mechanical Engineer with extensive qualifications, including Habilitation, PhD, MSc, and BSc degrees. His educational background is complemented by a substantial career in both academic teaching and industrial research, bridging the gap between scientific knowledge and practical application.

🏛️ UNIVERSITY TEACHING AND ADMINISTRATION

Silva has served as an Associate Professor with Habilitation at ISEP – School of Engineering, Polytechnic of Porto (IPP), where he has been instrumental in shaping the mechanical engineering curriculum and directing the master’s degree program. He has also held significant administrative roles, including Director of the BSc Degree in Mechanical Engineering at ESEIG and Sub-Director of the Mechanical Engineering Department at ISEP.

📚 RESEARCH AND PUBLICATIONS

With over 300 papers published in prestigious journals such as ELSEVIER, SPRINGER, and MDPI, Silva's research encompasses a broad spectrum of topics within Mechanical Engineering, Materials Science, and Industrial Engineering. His work has significantly contributed to advancements in advanced manufacturing processes, materials characterization, and additive manufacturing.

📝 BOOKS AND EDITORIAL WORK

Silva is a prolific author and editor, having published 16 books, including three written in 2023. He has contributed to numerous special issues as a Guest Editor for renowned journals, showcasing his expertise in various fields. His role as founder of the Journal of Coating Science and Technology further highlights his impact on the scientific community.

🌐 CONFERENCE LEADERSHIP AND COMMITTEES

He has been an active participant and leader in the international conference circuit, serving as General Chair of FAIM 2023 and a member of several scientific committees for conferences across the globe. His involvement in these conferences underscores his commitment to advancing the field through collaborative and innovative research.

🏆 RECOGNITIONS AND AWARDS

Silva’s contributions to the field have been recognized with multiple accolades, including the Top Reviewer Awards from Publons and MDPI. He has also received Best Paper Awards and other honors, reflecting his esteemed position in the academic and research community.

🚀 CURRENT PROJECTS AND FUTURE INITIATIVES

Currently, Silva is leading the DRIVOLUTION project at ISEP, a research initiative focused on advanced manufacturing technologies, with a funding of 1.5 million euros. His ongoing projects and research efforts continue to drive advancements in mechanical engineering and materials science, contributing to both academic and industrial advancements.

NOTABLE PUBLICATION

Calcium phosphate–calcium titanate composite coatings for orthopedic applications
Authors: J.E. Arce, A.E. Arce, Y. Aguilar, L. Yate, S. Moya, C. Rincón, O. Gutiérrez
Year: 2016
Journal: Ceramics International

Production and characterization of aluminum powder derived from mechanical saw chips and its processing through powder metallurgy
Authors: A.E.A.L.M. Rojas-Díaz, L.E. Verano-Jiménez, E. Muñoz-García, J. Esguerra-Arce
Year: 2019
Journal: Powder Technology

The evolution of the microstructure and properties of ageable Al-Si-Zn-Mg alloy during the recycling of milling chips through powder metallurgy
Authors: P.A. Pulido-Suárez, K.S. Uñate-González, J.G. Tirado-González, J. Esguerra-Arce
Year: 2020
Journal: Journal of Materials Research and Technology

Influence of the Al content on the in vitro bioactivity and biocompatibility of PVD Ti1−xAlxN coatings for orthopedic applications
Authors: A. Esguerra-Arce, J. Esguerra-Arce, L. Yate, C. Amaya, L.E. Coy, Y. Aguilar, et al.
Year: 2016
Journal: RSC Advances

Morteros geopolimericos reforzados con fibras de carbono basados en un sistema binario de un subproducto industrial
Authors: S. Bernal, J. Esguerra, J. Galindo, R.M. de Gutiérrez, E. Rodríguez, et al.
Year: 2009
Journal: Revista Latinoamericana de Metalurgia y Materiales

Dalhatu Muhammed – Computer Science – Best Researcher Award

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Dalhatu Muhammed - Computer Science - Best Researcher Award

Institut Supérieur D’electronique De Paris - France

AUTHOR PROFILE

Google Scholar

EARLY ACADEMIC PURSUITS

Dalhatu Muhammed embarked on his educational journey at Adamu Suleman Ninzamiyya Primary School Aliero from 1993 to 1999, where he obtained his Primary Certificate. He then attended Haliru Abdu Arabic Secondary School Jega (1999-2002), earning his Junior Leaving Certificate. Muhammed continued his secondary education at Government Technical College Bunza (2002-2005) and obtained his Secondary School Certificate (NABTEB) in 2005. Following this, he attended Usmanu Danfodiyo University, School of Matriculation in Sokoto in 2006 before enrolling in Usmanu Danfodiyo University Sokoto, Nigeria, where he earned a BSc in Computer Science (Second Class Upper Division) in 2011.

Muhammed's pursuit of higher education took him to the University of Malaya, Malaysia, where he specialized in Sensor Networks and completed an MSc in Computer Science in 2017. Currently, he is undertaking a PhD in Computer Science with a specialization in AIoT for Smart Agriculture at Sorbonne University Paris, France (2022 to date).

PROFESSIONAL ENDEAVORS

Muhammed's professional career is marked by significant contributions to the field of Computer Science, particularly in academia and technical instruction. His career began with the National Youth Service Corps (NYSC) in 2011-2012, followed by a teaching position at Raudatus Sunnah Academy Jega (2010-2011). He then joined Kebbi State University of Science and Technology Aliero (KSUSTA) as a System Analyst/Higher Technical Officer (2012-2014) and subsequently progressed through various academic positions: Graduate Assistant (2014-2017), Assistant Lecturer (2017-2019), Lecturer II (2019-2022), and currently, Lecturer I (2022-date). Additionally, he has served as a part-time lecturer at the School of Remedial Studies, KSUSTA (2017-2018) and as a CCNA Instructor at KSUSTA Networking Academy (2015-date).

CONTRIBUTIONS AND RESEARCH FOCUS

Throughout his career, Muhammed has been actively involved in numerous committees and responsibilities, including roles such as Departmental Examination Officer, Secretary of the Departmental Course Allocation Committee, and Chairman of the Departmental Committee on Accreditation Staff Grouping. His research focus is centered on the integration of Artificial Intelligence and Internet of Things (AIoT) in Smart Agriculture, which is also the theme of his ongoing PhD.

He has taught a wide array of courses, such as Fundamentals of Computer (CSC 101), Introduction to the Internet (INT 201), Web Technology and Scripting Language (INT 401), and Advanced Java Programming (CSC 408). His dedication to teaching is evident from his extensive involvement in student project supervision, guiding students in projects related to online systems for recruitment, hospital record management, and student attendance management.

IMPACT AND INFLUENCE

Muhammed's impact is also reflected in the numerous workshops and training programs he has attended, including international workshops on pervasive sensing and multimedia understanding, and professional development workshops on HMM-Based Speech Synthesis Systems. His contributions to academic conferences, such as the International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), further highlight his active engagement with the global research community.

ACADEMIC CITATIONS

Muhammed's scholarly work is widely recognized, with citations in various academic publications. His research and teaching in Computer Science have significantly contributed to the academic discourse in his field, particularly in sensor networks and AIoT applications.

LEGACY AND FUTURE CONTRIBUTIONS

Dalhatu Muhammed's legacy in Computer Science is marked by his commitment to education, research, and professional development. His future contributions are expected to further advance the fields of AIoT and smart agriculture, providing innovative solutions to contemporary challenges. His ongoing PhD research at Sorbonne University will likely yield significant advancements in these areas, solidifying his impact and influence in the global academic and professional community.

In summary, Dalhatu Muhammed's journey in Computer Science, marked by academic excellence, professional dedication, and impactful research, continues to inspire and influence the next generation of computer scientists. His ongoing efforts and future contributions promise to leave a lasting legacy in the field.

NOTABLE PUBLICATION

Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions 2024

Performance Evaluation of Machine Learning Algorithms for a Cluster-based Crop Recommendation System 2023

A User-friendly AIoT-Based Crop Recommendation system (UACR): concept and architecture 2022 (6)

A Cross-Lingual Text-To-Speech System for Hausa using DNN-Based Approach 2020

An Enhanced Scalable Design Approach for Managing Large Scale Variability in Software Product Lines (SPLs) 2020

Jiliang Luo – Intelligent manufacturing systems – Best Researcher Award

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Jiliang Luo - Intelligent manufacturing systems - Best Researcher Award

College of Information Science and Engineering - China

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Jiliang Luo embarked on his academic journey with a strong foundation in power systems, culminating in a Ph.D. in Control Science and Engineering from Zhejiang University. His multidisciplinary background provided him with a solid framework for his future contributions to the field of intelligent manufacturing systems.

PROFESSIONAL ENDEAVORS

Throughout his career, Jiliang Luo has held various esteemed positions, including Dean of the School of Information Science and Engineering at Huaqiao University and Director of the Fujian Engineering Research Center for Motor Control and System Optimization and Scheduling. He has also chaired prestigious conferences and served in leadership roles in professional societies, reflecting his dedication to advancing the field.

CONTRIBUTIONS AND RESEARCH FOCUS

Jiliang's research interests span a wide range of topics within the realm of intelligent manufacturing systems, including Digital Twin, Robotics, Integrated Scheduling and Control, Dynamic Systems of Discrete Events, and Petri Net Control Theory. His innovative work in these areas has contributed significantly to the development of advanced control methodologies for complex manufacturing processes.

IMPACT AND INFLUENCE

Jiliang Luo's research has garnered international recognition, as evidenced by numerous grants, honors, and awards. His groundbreaking contributions to the field have not only advanced academic knowledge but also had a profound impact on industry practices, driving innovation and efficiency in manufacturing systems worldwide.

ACADEMIC CITES

Jiliang's publications in top-tier journals and his role as an invited reviewer underscore his influence in the academic community. His research findings have been widely cited, reflecting their significance and relevance in shaping the discourse surrounding intelligent manufacturing systems and related disciplines.

LEGACY AND FUTURE CONTRIBUTIONS

As Jiliang continues his academic journey, he remains committed to pushing the boundaries of knowledge in intelligent manufacturing systems. Through his mentorship of students, prolific research output, and leadership in academic and professional organizations, he seeks to leave a lasting legacy of innovation and excellence in the field.

NOTABLE PUBLICATION

Petri-net-based deep reinforcement learning for real-time scheduling of automated manufacturing systems.  2024

Optimal Opacity-Enforcing Supervisory Control of Discrete Event Systems on Choosing Cost 2024

Active disturbance rejection control for non-minimum phase systems under plant reconstruction 2023 (3)

On disturbance rejection proportional–integral–differential control with model-free adaptation 2023 (1)

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)