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.

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.

 

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.

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

BASEM A. ALKHALEEL – Machine learning – Best Paper Award

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BASEM A. ALKHALEEL - Machine learning - Best Paper Award

King Saud University - Saudi Arabia

PROFESSIONAL SUMMARY

Basem A. Alkhaleel is a dedicated Assistant Professor in Industrial Engineering with a distinguished record of academic excellence and practical expertise in process reengineering and business continuity. Combining his extensive background in teaching, research, project management, and consulting, he brings a unique perspective to both academia and industry. With skills in leading cross-functional teams, analyzing complex systems, and implementing innovative solutions, he excels in driving process optimization, operational efficiency, and organizational resilience.

EDUCATION

Basem A. Alkhaleel holds a Ph.D. in Industrial Engineering from the University of Arkansas (2021), an MSc in Industrial and Systems Engineering from Texas A&M University (2015), and a BSc in Industrial Engineering from King Saud University (2012).

ACADEMIC AND RESEARCH EXPERIENCE

As an Assistant Professor at King Saud University since September 2021, Basem A. Alkhaleel has been involved in directing the counseling unit for undergraduate engineering students, participating in various departmental committees, and supervising numerous undergraduate student graduation projects. His research focuses on machine learning applications in critical infrastructure resilience, reliability engineering, and business continuity.

PROFESSIONAL EXPERIENCE

In addition to his academic roles, Basem A. Alkhaleel is a Management Consultant at ES Consulting in Riyadh, Saudi Arabia, where he develops and implements process improvement strategies and business continuity plans. He has also served as a Project Manager at the Arkansas Department of Transportation, leading the development and implementation of a decision support system for multi-modal transportation operations.

PROJECT MANAGEMENT AND CONSULTING

Basem A. Alkhaleel has managed several high-profile projects, including process documentation and modeling for the Ministry of Municipal and Rural Affairs and Housing and the Advanced Electronics Company. His work involves process modeling, documentation, digitalization, and KPI alignment to improve operational and strategic efficiencies.

RESEARCH AND INNOVATION

During his Ph.D. research at the University of Arkansas, Basem A. Alkhaleel developed resilience-based restoration models for disrupted critical infrastructures and combined risk mitigation with resilience restoration and simulation modeling. His MSc research at Texas A&M University focused on data-driven approaches to improve decision-making processes in engineering projects.

TEACHING AND MENTORING

With a strong commitment to education, Basem A. Alkhaleel has lectured on various industrial engineering subjects, including manufacturing processes and reliability engineering, at King Saud University. His teaching philosophy emphasizes innovative strategies to enhance student performance and academic success.

STRATEGIC PLANNING AND DEVELOPMENT

Earlier in his career, Basem A. Alkhaleel worked as a Strategic Planner at Ma’aden Company, developing long-term strategic plans and applying business development tools to identify areas of improvement. His strategic insights and communication skills have been instrumental in achieving organizational objectives and driving continuous improvement initiatives.

NOTABLE PUBLICATIONS

Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty 2022 (44)

Hybrid simulation to support interdependence modeling of a multimodal transportation network 2021 (19)

Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review 2023 (8)

Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks 2022 (10)

Pramod Patil – Deep Learning and Smart Grid – Best Researcher Award

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Pramod Patil - Deep Learning and Smart Grid - Best Researcher Award

Dr.D.Y.Patil Institute of Technology - India

AUTHOR PROFILE

Google Scholar

ACADEMIC EXCELLENCE AND PROFESSIONAL JOURNEY 🎓

Pramod Patil's academic odyssey commenced with a Bachelor's degree in Computer Science and Engineering from S.G.G.S. College of Engineering and Technology, Nanded, followed by a Master's and Ph.D. in Computer Engineering from Govt. College of Engineering, Pune. Since November 2001, he has been an integral part of Dr.D.Y.Patil Institute of Technology, Pune, where he has held various academic positions, culminating in his current role as Professor.

EXEMPLARY ADMINISTRATIVE ROLES AND LEADERSHIP 🏢

Throughout his tenure, Patil has demonstrated exemplary leadership and administrative acumen. From serving as Dean and Principal to holding pivotal roles such as Vice Principal and Head of Department, his leadership has been instrumental in shaping the academic and administrative landscape of his institution.

COMMITMENT TO ACADEMIC ACCREDITATION AND ASSESSMENT 📚

Patil's commitment to academic quality and accreditation is evidenced through his involvement in various accreditation processes at both the institute and university levels. His expertise in accreditation, coupled with his roles as a member of inquiry committees and subject expert, underscores his dedication to upholding academic standards and fostering institutional growth.

PROFESSIONAL ENGAGEMENT AND MEMBERSHIPS 🔬

As a lifelong learner and academic stalwart, Patil is actively engaged in professional societies such as the Indian Society for Technical Education (ISTE), Computer Society of India (CSI), and Association of Computing Machinery (ACM). His membership and contributions to these esteemed organizations reflect his commitment to advancing the field of computer engineering.

RECOGNITION AND AWARDS 🏆

Patil's contributions to academia have garnered widespread recognition and acclaim. From receiving Best Paper Awards to being appointed as Dean of the Faculty of Science and Technology at Savitribai Phule Pune University, his accolades underscore his scholarly prowess and leadership excellence.

INSPIRING FUTURE GENERATIONS AND MENTORSHIP 🌱

As a mentor and guide, Patil has played a pivotal role in shaping the careers of numerous students and researchers. His dedication to nurturing talent and fostering academic excellence has left an indelible mark on the academic community, inspiring generations of scholars to pursue their academic and professional aspirations.

INNOVATIVE RESEARCH ENDEAVORS AND CONTRIBUTIONS 🚀

Patil's research endeavors have spanned diverse domains such as machine learning, data security, blockchain, and smart grid technology. His prolific publication record, patent contributions, and research projects highlight his commitment to advancing knowledge and addressing real-world challenges through innovative research methodologies.

NOTABLE PUBLICATION

Skewed Evolving Data Streams Classification with Actionable Knowledge Extraction using Data Approximation and Adaptive Classification Framework 2023 (7)

Context-aware clustering and the optimized whale optimization algorithm: An effective predictive model for the smart grid 2023 (9)

Blockchain-based security services for fog computing 2021 (16)

EFFECT OF EARLY FUNCTIONAL MOBILITY ON FUNCTIONAL INDEPENDENCE IN INCOMPLETE PARAPLEGIC INDIVIDUALS. 2022 (3)

Chandran – COMPUTER SCIENCE – Excellence in Research

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Chandran - COMPUTER SCIENCE - Excellence in Research

AYYA NADAR JANAKI AMMAL COLLEGE - India

AUTHOR PROFILE

Google Scholar
Scopus

ACADEMIC LEADERSHIP AND TENURE 🌟

Chandran's illustrious career at Ayya Nadar Janaki Ammal College began in 1996 as a Lecturer, steadily progressing through various roles including Lecturer - Senior Scale, Assistant Professor - Selection Grade, and ultimately, as Associate Professor. His leadership acumen was further evidenced during his tenure as the Head of the institution from 2009 to 2012, where he played a pivotal role in shaping the academic landscape and fostering a culture of excellence.

EXEMPLARY CONTRIBUTIONS TO EDUCATION 📚

Throughout his tenure, Chandran has been instrumental in driving educational initiatives and academic reforms. His involvement as a Member in the Board of Studies PG at Madurai Kamaraj University and his role as a Research Guide in Computer Guide underscore his commitment to enhancing the quality of education and research in the field of computer science.

ACADEMIC RECOGNITION AND PROFESSIONAL ENGAGEMENT 🏅

Chandran's expertise and scholarly contributions have earned him numerous accolades and recognition, including his role as a Reviewer for prestigious conferences and journals such as the International ASCIS Conference and Inderscience. Additionally, his engagements as a PhD External Examiner and as a member of doctoral committees highlight his stature as a respected authority in his field.

PIONEERING RESEARCH ENDEAVORS 🚀

At the forefront of research, Chandran's work on "Computational System Design and Analysis of Macromolecular DNA Nanotechnology using Data Mining, Granular Computing, and Swarm Intelligence" represents a pioneering effort in the intersection of computer science and nanotechnology. His multidisciplinary approach underscores his commitment to pushing the boundaries of knowledge and innovation.

COMMITMENT TO PROFESSIONAL DEVELOPMENT AND SERVICE 💼

Chandran's dedication to professional development and service is evident through his participation as a resource person in refresher courses and his role as the Staff Club Secretary at Ayya Nadar Janaki Ammal College. His engagement in various professional development programs and service roles reflects his commitment to the holistic development of the academic community.

INSPIRING THE NEXT GENERATION OF SCHOLARS 🌱

As a mentor and educator, Chandran has played a pivotal role in nurturing the next generation of scholars and researchers. His guidance and mentorship have empowered countless students to pursue their academic and professional aspirations, leaving an enduring legacy in the annals of academia.

SHAPING THE FUTURE OF COMPUTER SCIENCE EDUCATION 🌐

In summary, C P Chandran's contributions to academia, research, and education have left an indelible mark on the field of computer science. His visionary leadership, pioneering research endeavors, and unwavering commitment to excellence continue to shape the future of computer science education, inspiring generations of scholars to push the boundaries of knowledge and innovation.

NOTABLE PUBLICATON

IoT Based ECG to Grayscale Representation for the Prediction of Artery Deposition 2023

Deep Learning Approaches for Liver Tumor Segmentation 2023

Feature selection for mining SNP from Leukaemia cancer using Genetic Algorithm with BCO 2016 (7)

Classification algorithm for Gene Expression Graph and Manhattan Distance 2017 (3)

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)