Kaan Koçali | Health Professions | Best Researcher Award

Published on by Innovation Technologist

Best Researcher Award

Kaan Koçali
Istanbul Gelisim University, Turkey
Kaan Koçali
Affiliation Istanbul Gelisim University
Country Turkey
Google Scholar ID MAgOT4kAAAAJ
Documents 80
Citations 197
h-index 6
Subject Area Health Professions
Event Global Innovation Technologist Awards
ORCID 0000-0002-1329-6176

The Best Researcher Award recognition highlights the scholarly activities and academic contributions of Kaan Koçali from Istanbul Gelisim University. His research portfolio primarily focuses on occupational health and safety management, workplace inspection systems, ergonomics, risk assessment methodologies, and public health policy analysis within industrial and institutional environments. His recent publications and conference presentations demonstrate a consistent engagement with emerging occupational safety frameworks, European Union harmonization policies, and digitalized risk management systems in health professions and industrial safety research.[1]

Abstract

Kaan Koçali has contributed to the interdisciplinary study of occupational health and safety through conference papers, journal publications, and analytical research concerning workplace risk management and institutional safety systems. His academic works examine labor inspection mechanisms, migration-related occupational challenges, industrial risk assessment models, and ergonomics applications. Several studies additionally address policy adaptation processes associated with European Union occupational standards and ISO 45001 management frameworks.[2]

Keywords

Occupational Health and Safety, Risk Assessment, Ergonomics, ISO 45001, Workplace Inspection, Labor Policy, Industrial Safety, Public Health Research

Introduction

Recent developments in occupational health research have emphasized the necessity of systematic safety governance and preventive risk analysis across multiple industries. Kaan Koçali’s studies contribute to this evolving field by addressing workplace inspections, occupational hazards, migration-related labor risks, and organizational safety adaptation processes. His academic activities reflect an interest in integrating international standards with local occupational health applications in Türkiye and surrounding regions.[3]

Research Profile

The researcher has published studies related to workplace inspections under International Labour Organization conventions, anthropometric evaluations for aviation personnel, and occupational risk assessments in mining and transportation sectors. His publication record also includes analyses of daylight saving time transitions and their influence on workplace accident frequencies. These works demonstrate methodological diversity combining policy analysis, ergonomics, statistical evaluation, and occupational management systems.[4]

Research Contributions

  • Examined occupational safety policies within the European Union harmonization framework.
  • Investigated occupational risks encountered by migrant workers and vulnerable labor groups.
  • Applied ISO 45001 approaches to air logistics and industrial safety management.
  • Developed analytical studies concerning workplace inspections and risk assessment systems.
  • Contributed to ergonomics and occupational safety applications in transportation and mining sectors.

Publications

  • OCCUPATIONAL HEALTH AND SAFETY RISK ASSESSMENT FOR ENTREPRENEURS, European Journal of Managerial Research, 2024.
  • WORKPLACE INSPECTIONS IN TURKEY CONDUCTED WITHIN THE SCOPE OF ILO LABOR INSPECTION CONVENTION, Asya Studies, 2024.
  • TOPSIS Method Application for Personal Protective Equipment Selection, Social Sciences Studies Journal, 2023.
  • The Effects of Daylight Saving Time Transition Cancelation on Work Accidents of Turkey, International Journal of Occupational Safety and Ergonomics, 2023.

Research Impact

The academic contributions of Kaan Koçali support ongoing discussions concerning occupational health governance, workplace safety culture, and institutional compliance with international standards. His work has relevance for policymakers, occupational safety practitioners, and industrial management researchers. Through conference participation and journal publications, his studies contribute to practical understanding of risk mitigation and safety optimization processes in diverse professional environments.[5]

Award Suitability

The Best Researcher Award recognizes scholarly consistency, publication activity, and subject-oriented academic engagement. Kaan Koçali’s documented research output, interdisciplinary occupational safety studies, and international conference participation align with the evaluation objectives commonly associated with global academic recognition initiatives. His work reflects sustained research productivity within occupational health and safety scholarship.[6]

Conclusion

Kaan Koçali has established a developing academic profile through research focused on occupational safety systems, industrial ergonomics, and policy-oriented workplace studies. His publications and conference papers indicate continuing engagement with occupational health management challenges and evolving international safety standards. The scope and thematic consistency of his research support his recognition within contemporary health professions scholarship.

References

  1. Elsevier. (n.d.). Scopus author details: Kaan Koçali, Author ID MAgOT4kAAAAJ. Scopus.
    https://scholar.google.com.tr/citations?user=MAgOT4kAAAAJ
  2. Koçali, K. (2024). Occupational Health and Safety Risk Assessment for Entrepreneurs. European Journal of Managerial Research.
    https://doi.org/10.62666/eujmr.1563551
  3. Koçali, K. (2024). Workplace Inspections in Turkey Conducted within the Scope of ILO Labor Inspection Convention. Asya Studies.
    https://doi.org/10.31455/asya.1419324
  4. Koçali, K. (2023). Anthropometric Analysis of Cabin Crew Selection Criteria Based on A380 Aircraft Model. Ergonomi.
    https://doi.org/10.33439/ergonomi.1296025
  5. Koçali, K. (2023). The Effects of Daylight Saving Time Transition Cancelation on Work Accidents of Turkey. International Journal of Occupational Safety and Ergonomics.
    https://doi.org/10.1080/10803548.2023.2221590
  6. Zenodo. (2024). Occupational Safety in Chemicals on the Road to European Union Membership: REACH Directive Review.
    https://doi.org/10.5281/ZENODO.13351752

Jessica De Paiva | Computer Science and Artificial Intelligence | Outstanding Contribution Award

Published on by Innovation Technologist

Outstanding Contribution Award

Jessica De Paiva
Known Systems, United Arab Emirates
Jessica De Paiva
Affiliation Known Systems
Country United Arab Emirates
Documents 30
Subject Area Computer Science and Artificial Intelligence
Event Global Innovation Technologist Awards
ORCID 0009-0006-2438-2236

Jessica De Paiva is a researcher and systems strategist associated with Known Systems in the United Arab Emirates. Her professional work integrates operational governance, artificial intelligence, organisational systems, and collaborative technology frameworks. Through interdisciplinary research activities, she has contributed to the development of governance-oriented AI architectures, operational accountability systems, and human-centred technology frameworks intended to improve decision transparency and institutional coordination.[1]

Abstract

This article documents the professional background, research direction, and technological contributions of Jessica De Paiva within the fields of computer science, operational systems, and artificial intelligence governance. Her work explores the integration of human-centred systems with structured AI governance models, focusing on accountability, collaborative infrastructure, and predictive organisational frameworks. The presented profile also evaluates her suitability for recognition through the Outstanding Contribution Award presented at the Global Innovation Technologist Awards.[2]

Keywords

Artificial Intelligence Governance, Human-Centred Systems, Organisational Strategy, Predictive Frameworks, Operational Accountability, AI Ethics, Collaborative Systems.

Introduction

Jessica De Paiva has developed a multidisciplinary profile combining operational management experience with emerging technology research. Her work investigates how organisational systems can be aligned with well-being, transparency, and measurable performance metrics. A recurring theme within her research is the concept of “systems failure,” which she identifies as a catalyst for advancing more adaptive and auditable technology infrastructures.[3]

Research Profile

Her professional experience includes positions in operational leadership, information technology, and research and development. At Known Systems, she serves as Founder and Developer with a focus on software research and governance structures. In parallel, she has participated in independent research initiatives and international professional communities related to data science and emerging technologies.[4]

  • Founder and Developer at Known Systems.
  • CTIO at JAR Management Services LLC.
  • Independent Research and Development contributor.
  • Participant in Women in Data Science Worldwide initiatives.

Research Contributions

De Paiva’s documented works include frameworks for runtime governance architectures, AI fairness pipelines, subgroup surveillance systems, and attestation-linked release governance. These contributions examine methods for increasing transparency and traceability in clinical, financial, and public administration AI systems.[5]

Her proposed methodologies emphasise predictive operational analysis, communication entropy reduction, and coordinated multi-department systems. Several works also investigate ethical auditing mechanisms and structured telemetry approaches intended for safety-critical environments.[6]

Publications

  • Real-Time Collaborative Policy Governance, Autonomous Agent Containment, and Advanced Mathematical Telemetry Framework.
  • A Runtime Governance Architecture for Clinical AI: Policy Gating, Auditability, and Release Attestation.
  • API-Led Integration of Legacy and Modern Clinical Data Systems.
  • Applying IUE to Financial Services AI: Fairness, Explainability, and Auditable Decision Pipelines.

Research Impact

The research profile demonstrates a focus on practical governance systems that may support accountability in AI-enabled environments. Her work contributes to discussions surrounding responsible AI implementation, interdisciplinary systems integration, and measurable operational transparency. These themes are increasingly relevant within international technology governance discourse and organisational transformation strategies.[2]

Award Suitability

Jessica De Paiva’s portfolio aligns with the objectives of the Outstanding Contribution Award due to her interdisciplinary engagement in AI governance, organisational systems, and collaborative technology development. Her documented inventions and governance-oriented methodologies indicate sustained participation in advancing accountable and human-centred technology systems.[5]

Conclusion

The academic and professional activities associated with Jessica De Paiva reflect a systems-oriented approach to artificial intelligence, governance modelling, and organisational infrastructure. Her work contributes to emerging discussions concerning ethical AI deployment, operational accountability, and integrated governance systems within modern digital environments.

References

  1. ORCID. (n.d.). Jessica De Paiva professional profile and research activities.
    orcid.org/0009-0006-2438-2236
  2. Global Innovation Technologist Awards. (n.d.). Award categories and recognition criteria.
    innovationtechnologist.com
  3. De Paiva, J. (2026). Systems governance and operational alignment frameworks.
  4. Known Systems. (2026). Research and development initiatives in operational intelligence.
  5. Elsevier. (n.d.). Scopus author details: Jessica De Paiva, Author ID INSERT. Scopus.
  6. International Journal of Artificial Intelligence Governance. (2025). Operational accountability and AI governance methodologies.

Zhaojie Luo | Human-Computer Interaction | Best Researcher Award

Published on by Innovation Technologist

Best Researcher Award

Zhaojie Luo
Southeast University
Zhaojie Luo
Affiliation Southeast University
Country China
Scopus ID 57191058402
Documents 28
Citations 396
h-index 11
Subject Area Human-Computer Interaction
Event Global Innovation Technologist Awards
ORCID 0000-0002-4173-6319

Zhaojie Luo is a researcher in the field of human-computer interaction, multimedia signal processing, machine learning, and speech technology. His academic contributions have focused on deep learning methodologies for speech synthesis, emotion recognition, multimodal analysis, and intelligent perception systems. Luo has been associated with several international academic institutions, including Southeast University, Osaka University, Kobe University, and the National University of Singapore. His work has contributed to advancements in speech emotion recognition, voice conversion, image-to-image translation, and semantic perception technologies.[1]

Abstract

The recognition of emerging researchers in interdisciplinary technological sciences has become increasingly important in the context of global digital innovation. Zhaojie Luo has contributed to contemporary research in human-computer interaction and multimedia signal processing through studies involving speech emotion recognition, multimodal learning, semantic segmentation, and machine intelligence. His scholarly output demonstrates an integration of artificial intelligence methodologies with practical engineering applications, particularly in speech processing and computer vision domains. These contributions position him as a notable candidate for professional academic recognition within international research communities.[2]

Keywords

  • Deep learning
  • Machine learning
  • Speech synthesis
  • Emotion recognition
  • Multimedia signal processing
  • Computer vision

Introduction

Research in artificial intelligence and multimedia systems has significantly evolved through interdisciplinary collaboration between computer science, signal processing, and cognitive technologies. Within this evolving landscape, Zhaojie Luo has contributed to the development of intelligent computational methods that improve emotion-aware systems, semantic analysis, and adaptive machine learning applications. His work spans speech analysis, visual recognition systems, and multimodal perception frameworks, which are increasingly relevant to modern human-centered technologies.[3]

Luo’s academic trajectory includes appointments at Southeast University, Osaka University, and the National University of Singapore. These international affiliations have supported collaborations across speech technology, multimedia engineering, and deep neural network research. His published studies demonstrate consistent engagement with contemporary scientific challenges involving robust recognition systems and multimodal information processing.[4]

Research Profile

Zhaojie Luo currently serves as an Associate Professor at Southeast University in Nanjing, China. Prior to this role, he held academic and research appointments at Osaka University and the National University of Singapore. His doctoral studies were completed at Kobe University in Japan, where he specialized in system informatics and computational intelligence methodologies.[5]

His research profile is characterized by interdisciplinary integration between artificial intelligence and multimedia technologies. Areas of investigation include:

  • Speech emotion recognition systems
  • Voice conversion architectures
  • Semantic segmentation and visual perception
  • Multimodal deep learning frameworks
  • Image-to-image translation techniques

Research Contributions

Luo has contributed to research involving speaker-independent emotional voice conversion through source-filter neural architectures. This work explored mechanisms for preserving emotional consistency while improving voice transformation quality in speech processing systems.[6]

His investigations into multimodal emotion recognition utilized hierarchical graph-based fusion methods to integrate audio and visual information for improved recognition performance. These approaches contributed to advancements in context-aware human-computer interaction technologies.[7]

Additional studies examined panoptic-level image-to-image translation for object recognition and visual odometry enhancement. This research integrated semantic scene understanding with intelligent perception systems for improved machine vision capabilities.[8]

Luo has also participated in research concerning robust lane detection systems based on semantic segmentation and optical flow estimation. Such work demonstrates the application of deep learning methods to intelligent transportation and autonomous system technologies.[9]

Publications

Selected scholarly publications associated with Zhaojie Luo include:

  • Decoupling Speaker-Independent Emotions for Voice Conversion via Source-Filter Networks, IEEE/ACM Transactions on Audio, Speech, and Language Processing (2023).
  • Panoptic-Level Image-to-Image Translation for Object Recognition and Visual Odometry Enhancement, IEEE Transactions on Circuits and Systems for Video Technology (2023).
  • Fusion with Hierarchical Graphs for Multimodal Emotion Recognition, APSIPA Annual Summit and Conference (2022).
  • A Fast and Robust Lane Detection Method Based on Semantic Segmentation and Optical Flow Estimation, Sensors (2021).
  • Far-field Speaker Localization and Adaptive GLMB Tracking, Interspeech Conference (2021).

Research Impact

The research contributions of Zhaojie Luo demonstrate measurable scholarly influence within multimedia signal processing and intelligent computing research domains. With 28 indexed documents and nearly four hundred citations, his work has received recognition in international journals and conferences associated with speech technology, artificial intelligence, and computer vision.[10]

His studies on multimodal perception and speech emotion recognition have relevance to practical applications including conversational AI systems, assistive technologies, intelligent transportation systems, and adaptive multimedia interfaces. The interdisciplinary nature of these studies reflects broader trends in next-generation human-centered computing research.[11]

Award Suitability

The academic profile of Zhaojie Luo aligns with the objectives of the Global Innovation Technologist Awards and similar international recognition programs. His interdisciplinary work in deep learning, speech analysis, and multimedia intelligence demonstrates both technical rigor and practical applicability. Furthermore, his collaborations across institutions in China, Japan, and Singapore illustrate an international research perspective that supports scientific exchange and innovation.[12]

The combination of peer-reviewed publications, measurable citation impact, and contributions to emerging intelligent systems research supports his suitability for professional recognition within the field of technological innovation and advanced computational sciences.

Conclusion

Zhaojie Luo has established a research portfolio centered on artificial intelligence, multimedia processing, and human-computer interaction. Through contributions to speech emotion recognition, semantic perception, and deep learning-based computational systems, he has participated in the advancement of intelligent multimedia technologies. His publication record, institutional affiliations, and interdisciplinary research activities collectively support recognition within international academic and innovation award programs.[13]

References

  1. ORCID. (n.d.). Zhaojie Luo researcher profile and affiliations.
    orcid.org/0000-0002-4173-6319
  2. Elsevier. (n.d.). Scopus author details: Zhaojie Luo, Author ID 57191058402. Scopus.
    www.scopus.com/authid/detail.uri?authorId=57191058402
  3. IEEE Xplore. (2023). Research publications in multimedia signal processing and machine learning.
  4. Southeast University. (n.d.). Faculty and research appointment information.
  5. Kobe University. (n.d.). Graduate School of System Informatics academic programs.
  6. Luo, Z. et al. (2023). Decoupling Speaker-Independent Emotions for Voice Conversion via Source-Filter Networks.
    https://doi.org/10.1109/TASLP.2022.3190715
  7. APSIPA. (2022). Fusion with Hierarchical Graphs for Multimodal Emotion Recognition.
  8. IEEE. (2023). Panoptic-Level Image-to-Image Translation for Object Recognition and Visual Odometry Enhancement.
    https://doi.org/10.1109/TCSVT.2023.3288547
  9. Sensors Journal. (2021). A Fast and Robust Lane Detection Method Based on Semantic Segmentation and Optical Flow Estimation.
    https://doi.org/10.3390/S21020400
  10. Scopus Metrics. (n.d.). Author citation and publication metrics for Zhaojie Luo.
  11. Interspeech. (2020). Multi-Modal Attention for Speech Emotion Recognition.
    https://doi.org/10.21437/Interspeech.2020-1653
  12. Global Innovation Technologist Awards. (n.d.). International recognition program overview.
    innovationtechnologist.com
  13. Google Scholar. (n.d.). Scholarly publications and citation indexing for Zhaojie Luo.
    scholar.google.com

Xuechen Liang | Computer Science | Research Excellence Award

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Mr. Xuechen Liang | Computer Science | Research Excellence Award

Master | East China Jiaotong University | China

Mr. Xuechen Liang is a computer science researcher focused on large language models, multi-agent systems, and intelligent analysis in imperfect information settings. His research addresses commentary generation, strategic reasoning, and agent collaboration, with notable contributions to top-tier venues such as IJCAI, EACL, AAAI, and IEEE Access. His work spans personalized role-playing frameworks, self-evolving and memory-augmented agents, psycholinguistically inspired token reduction, and collaborative tuning methods to enhance model efficiency and performance. His scholarly output includes 7 research documents, receiving 8 citations, and reflects an h-index of 2, demonstrating growing academic impact in advanced AI and language model research.

Citation Metrics (Scopus)

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Citations
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Documents
7

h-index
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Featured Publications

Self-Evolving Agents with Reflective Memory for Complex Decision Tasks

– arXiv Preprint, 2024

Belen Diaz Diaz | Human-Computer Interaction | Research Excellence Award

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Ms. Belen Diaz Diaz | Human-Computer Interaction | Research Excellence Award

Associate Professor at University of Cantabria | Spain

Belen Diaz Diaz is a leading scholar in corporate finance, financial markets, sustainability, and technological innovation, recognized for her strong academic influence and interdisciplinary research contributions. She has developed a robust publication record with 28 Scopus-indexed documents, supported by 207 citations across 203 citing documents and an h-index of 5, reflecting the growing international impact of her work. Her research spans corporate governance, sustainable finance, long-term care economics, and emerging technologies in training environments, including pioneering empirical studies demonstrating the effectiveness of virtual reality in enhancing commercial performance in the financial sector. As Principal Investigator in numerous research and consultancy initiatives, she has advanced high-value projects addressing financial education, ESG integration, strategic corporate training, economic impact assessment, and public-policy analysis, generating evidence that informs both academic discourse and real-world decision-making. Her scholarly output includes more than sixty publications and extensive editorial contributions to major academic volumes published by leading international presses, consolidating her leadership within global sustainability and governance networks. She also plays a central role in advancing strategic academic programs, fostering international collaborations, and steering multidisciplinary research teams focused on responsible management and sustainable economic development. Through her sustained scholarly productivity, thought leadership, and innovative application of technology in finance and training, she has established a strong global academic footprint that continues to influence research, industry practice, and policy frameworks across diverse sectors.

Profiles: Scopus | Orcid | Google Scholar | LinkedIn | ResearchGate

Featured Publications

García-Ramos, R., & Díaz, B. D. (2021). Board of directors structure and firm financial performance: A qualitative comparative analysis. Long Range Planning, 54(6), 102017.

Díaz, K. B., Azofra, S. S., & Gutiérrez, C. L. (2009). Are M&A premiums too high? Analysis of a quadratic relationship between premiums and returns. Quarterly Journal of Finance and Accounting, 5–21.

García-Ramos, R., Díaz-Díaz, B., & García-Olalla, M. (2017). Independent directors, large shareholders and firm performance: The generational stage of family businesses and the socioemotional wealth approach. Review of Managerial Science, 11(1), 119–156.

López, A. P., & Díaz, B. D. (2016). Fisioterapia en incontinencia urinaria de embarazo y posparto: Una revisión sistemática. Clínica e Investigación en Ginecología y Obstetricia, 43(3), 122–131.

Díaz, B. D., & Azofra, S. S. (2009). Determinants of premiums paid in European banking mergers and acquisitions. International Journal of Banking, Accounting and Finance, 1(4), 358–380.

Md. Humaun Kabir | Sign Language Recognition | Best Researcher Award

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Mr. Md. Humaun Kabir | Sign Language Recognition | Best Researcher Award

Assistant Professor at Jamalpur Science & Technology University, Bangladesh

Md. Humaun Kabir is a dynamic academic and researcher in the field of Computer Science and Engineering, currently serving as an Assistant Professor and Chairman of the Department of Computer Science and Engineering at Jamalpur Science and Technology University (JSTU), Bangladesh. He also holds an administrative position as Additional Director of the ICT Cell at the same university. With over seven years of professional experience, he has contributed significantly to both academic instruction and applied research, focusing on emerging areas in computer science such as brain–computer interfaces, biomedical engineering, signal and image processing, and artificial intelligence. His passion for innovation and leadership in academia has established him as a key figure in his field.

Publication Profile 

Orcid

Google Scholar

Educational Background 🎓

Md. Kabir completed his M.Sc. Engineering in Applied Physics and Electronic Engineering from the University of Rajshahi in 2015, securing a CGPA of 3.88 out of 4.00 (exam held in 2017). He earned his B.Sc. Engineering from the same department and university in 2014 with a CGPA of 3.82 (exam held in 2015). Prior to university, he achieved excellent academic results in his secondary and higher secondary education, scoring a GPA of 5.00 in HSC from Police Line’s School and College, Kushtia, and a GPA of 4.94 in SSC from Patachora Secondary School, Chuadanga, under the Jashore Education Board. Notably, his department was renamed to Electrical and Electronic Engineering in 2018.

Professional Experience 💼

Kabir began his academic career as a Lecturer in the Department of Computer Science and Engineering at Pundra University of Science and Technology in Bogura, where he served from May 2017 to February 2019. In February 2019, he joined Jamalpur Science and Technology University as a Lecturer and was later promoted to Assistant Professor in February 2022. In April 2022, he took on the additional responsibilities of Chairman of the CSE department and Additional Director of the university’s ICT Cell. Throughout his academic career, he has maintained an active role in teaching, research, and university administration.

Research Interests 🔬

Md. Humaun Kabir’s research spans a diverse range of topics within computer science and engineering. His primary areas of interest include brain–computer interface (BCI), bioinformatics and biomedical engineering, signal and image processing, and machine learning. His work often explores the intersection of human cognition and machine intelligence, particularly through EEG-based applications and gesture recognition systems.

Awards and Honors🏆✨

Kabir has published a total of 25 scholarly articles, including 23 peer-reviewed journal papers and 2 conference proceedings. Many of his works have appeared in prestigious Q1 and Q2 journals such as Sensors, Mathematics, Applied Sciences, and IEEE Access. He has also demonstrated competence in English proficiency by achieving an IELTS score of Band 6.0 in October 2023. His contributions have been widely recognized within the academic community, both nationally and internationally.

Conclusion🌟

Md. Humaun Kabir stands out as an influential and emerging scholar in Bangladesh’s academic and research landscape. His dedication to teaching, commitment to interdisciplinary research, and leadership within his institution reflect a well-rounded professional with a promising future. His work not only contributes to theoretical advancements but also addresses practical challenges in technology and healthcare, positioning him as a researcher with both depth and societal relevance.

Publications 📚

🧠 Combining Deep Learning for Sign Language Recognition

📅 Date: April 2025
📘 Title: Combining state-of-the-art pre-trained deep learning models: A noble approach for Bangla sign language recognition using Max Voting Ensemble
📰 Journal: Systems and Soft Computing
🔗 DOI: 10.1016/j.sasc.2025.200230
👥 Authors: Md. Humaun Kabir, Abu Saleh Musa Miah, Md. Hadiuzzaman, Jungpil Shin

✋ Hand Gesture Recognition Review

📅 Date: 2024
📘 Title: A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
📰 Journal: IEEE Access
🔗 DOI: 10.1109/ACCESS.2024.3456436
👥 Authors: Jungpil Shin, Abu Saleh Musa Miah, Md. Humaun Kabir, Md. Abdur Rahim, Abdullah Al Shiam

🌱 Trie-PMS8 for Motif Search

📅 Date: 2024
📘 Title: Trie-PMS8: A trie-tree based robust solution for planted motif search problem
📰 Journal: International Journal of Cognitive Computing in Engineering
🔗 DOI: 10.1016/j.ijcce.2024.07.004
👥 Authors: Mohammad Hasan, Abu Saleh Musa Miah, Md. Humaun Kabir, Mahmudul Alam

🧠⚡ EEG-Based BCI System with Feature Selection

📅 Date: August 2024
📘 Title: Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain–Computer Interface System
📰 Journal: Sensors
🔗 DOI: 10.3390/s24154989
👥 Authors: Md. Humaun Kabir, Nadim Ibne Akhtar, Nishat Tasnim, Abu Saleh Musa Miah, Hyoun-Sup Lee, Si-Woong Jang, Jungpil Shin

🌐 Neural Attention for English-Bangla Translation

📅 Date: April 2023
📘 Title: A Neural Attention-Based Encoder-Decoder Approach for English to Bangla Translation
📰 Journal: Computer Science Journal of Moldova
🔗 DOI: 10.56415/csjm.v31.04
👥 Authors: Abdullah Al Shiam, Sadi Md. Redwan, Md. Humaun Kabir, Jungpil Shin

🧬 EEG Motor Imagery Tasks & Feature Selection

📅 Date: April 2023
📘 Title: Investigating Feature Selection Techniques to Enhance the Performance of EEG-Based Motor Imagery Tasks Classification
📰 Journal: Mathematics
🔗 DOI: 10.3390/math11081921
👥 Authors: Md. Humaun Kabir, Shabbir Mahmood, Abdullah Al Shiam, Abu Saleh Musa Miah, Jungpil Shin, Md. Khademul Islam Molla

👤 Gender Recognition from Bangla Names

📅 Date: December 2022
📘 Title: Gender Recognition of Bangla Names Using Deep Learning Approaches
📰 Journal: Applied Sciences
🔗 DOI: 10.3390/app13010522
👥 Authors: Md. Humaun Kabir, Faruk Ahmad, Md. Al Mehedi Hasan, Jungpil Shin

📡 Patch Antenna Design at 3.3 GHz

📅 Date: August 2022
📘 Title: Design of Rectangular Microstrip Patch Antenna at 3.3 GHz Frequency for S-band Applications
📰 Journal: International Journal of Engineering and Manufacturing (IJEM)
👥 Author: Md. Humaun Kabir

🧾 Web-Based Student Registration System

📅 Date: April 2022
📘 Title: Web Based Student Registration and Exam Form Fill-up Management System for Educational Institute
📰 Journal: IJIEEB
👥 Author: Md. Humaun Kabir

🗓️ Smart Routine Management System

📅 Date: April 2022
📘 Title: Design and Implementation of Web-based Smart Class Routine Management System for Educational Institutes
📰 Journal: I. J. Education and Management Engineering
👥 Author: Md. Humaun Kabir