Aref abu – gweder | Culturally Responsive | Best Researcher Award

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Dr. Aref abu - gweder |  Culturally Responsive | Best Researcher Award

Professor at Achva Academic College, Isarel

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Summary:

Dr. Aref Abu-Gweder is a researcher and educator specializing in culturally responsive leadership and minority education systems, with a focus on the Arab-Bedouin community in Israel. He serves at Kaye Academic College of Education and Achva Academic College, contributing significantly to the discourse on school culture, social dynamics in educational leadership, and equitable pedagogy.

Educational Details

Dr. Abu-Gweder earned his Ph.D. in Education from the University of Strasbourg, France, with a dissertation exploring the academic challenges and cultural adaptation of Arab-Bedouin female students. His academic journey reflects a commitment to bridging cultural gaps in education and empowering marginalized communities through scholarly inquiry.

Professional Experience

He currently holds academic positions at both Kaye Academic College of Education and Achva Academic College in Israel. His professional experience includes teaching, mentoring, and conducting qualitative research focused on the intersection of educational leadership, tribal culture, and systemic challenges within the Arab-Bedouin school system. Dr. Abu-Gweder is known for implementing culturally responsive pedagogies and training educational leaders to address socio-cultural dynamics in schools.

Research Interests

Dr. Abu-Gweder’s research interests include culturally responsive pedagogy (CRP), educational leadership in minority and tribal contexts, teacher-principal relationships, and systemic barriers in indigenous educational systems. He particularly examines the social and professional integration of Arab teachers in Bedouin schools and promotes models of culturally sustaining leadership.

Author Metrics

Dr. Abu-Gweder has authored several peer-reviewed articles in international journals, including Leadership and Policy in Schools, Open Education Studies, and The International Journal of Diversity in Education. His most recent article published in 2025 addresses the social-professional dynamics between Bedouin teachers and school principals. His ORCID ID is 0000-0002-2050-2150.

Awards and Honors

While the resume does not list specific awards, Dr. Abu-Gweder’s academic contributions and leadership roles at major Israeli educational institutions underscore his recognition as an expert in minority education and culturally inclusive leadership practices. His research has practical policy implications and is cited in reform discussions concerning educational equity in Arab-Bedouin communities.

Publication Top Notes

1. The Attitudes of Arab-Bedouin Teachers Toward Their Relationship with School Principals: A Social and Professional Perspective

Journal: Leadership and Policy in Schools
Pages: 1–10
DOI: https://doi.org/10.1080/15700763.2025.2503747

Summary:
This qualitative study explores how Arab-Bedouin teachers perceive their professional and social relationships with school principals. Using semi-structured interviews with 20 teachers, the study identifies a lack of clear leadership, structural ambiguity, favoritism based on tribal affiliations, and cultural tension between local and non-local educators. Findings highlight the need for culturally responsive and sustaining leadership in Bedouin schools.

2. Academic and Institutional Barriers Facing Arab-Bedouin Female Students in Israeli Higher Education: The Role of Campus Environment and Discrimination

Journal: Social Identities
Pages: 1–14

Summary:
This paper investigates the socio-academic challenges faced by Arab-Bedouin female students in Israeli universities. Through qualitative interviews and thematic analysis, it identifies campus discrimination, language barriers, and cultural dissonance as core obstacles. It argues for institutional reforms to create more inclusive academic spaces that support minority women in higher education.

3. From Protection to Learning: How Arab-Bedouin Teachers Relate to Parents in the Shadow of the Gaza-Israel War

Co-author: L. Solomovich
Journal: Issues in Educational Research
Volume: 35(1)
Pages: 1–19

Summary:
This research explores how Arab-Bedouin teachers engage with parents during wartime, particularly the Gaza-Israel conflict. It reveals a shift from roles of protection and emotional support toward educational continuity. Teachers are shown to navigate complex cultural and emotional terrains, reinforcing the necessity for trauma-informed and culturally rooted pedagogy during crises.

4. Asymmetry in Israeli Academia: Attitudes of Bedouin Female Students About Their Relationship with Jewish Female Students

Journal: Journal of International Students
Volume: 15(3)
Pages: 21–40

Summary:
This study analyzes the experiences of Bedouin female students within predominantly Jewish academic environments. It uncovers feelings of exclusion, power imbalances, and social asymmetry, emphasizing the intersectionality of gender, ethnicity, and marginalization. The paper calls for culturally sensitive dialogue and structural inclusion in academic institutions.

5. Understanding and Addressing Disciplinary Challenges: Strategies Employed by Novice Elementary Arab Bedouin Teachers in Israel

Journal: The International Journal of Diversity in Education
Volume: 25(1)
Pages: 211–232
DOI: https://doi.org/10.18848/2327-0020/CGP/v25i01/211-232

Summary:
This article explores how novice Arab-Bedouin teachers handle classroom disciplinary challenges. The study uses interviews and classroom observations to identify culturally specific strategies, highlighting tensions between traditional authority models and modern pedagogical expectations. It recommends context-sensitive teacher training programs to enhance classroom management in tribal societies.

Conclusion

Dr. Aref Abu-Gweder is a strong and deserving candidate for the Best Researcher Award. His work demonstrates academic depth, cultural sensitivity, and practical application. His focus on traditionally marginalized communities, especially in a complex socio-political context like Israel’s Bedouin society, positions him as a thought leader in educational equity and leadership studies.

His prolific output in 2025, grounded in both theory and fieldwork, showcases a researcher at the peak of his scholarly influence. With expanded global collaborations and funded initiatives, his work has the potential to shape international discourse on culturally responsive education.

 

Hayat Khan | Photocatalytic | Best Researcher Award

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Dr. Hayat Khan | Photocatalytic | Best Researcher Award

Associate Professor at King Faisal University, Saudi Arabia

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Summary

Dr. Hayat Khan is a distinguished academic and researcher in Chemical Engineering, currently serving as an Associate Professor at King Faisal University, Saudi Arabia. With a career spanning over two decades across multiple countries including Canada, South Korea, Pakistan, and Saudi Arabia, he brings a rich global perspective to advanced chemical process research, photocatalysis, nanomaterials, and engineering education. He has consistently contributed to academia through teaching, mentoring, and impactful research and has held various leadership and quality assurance roles in higher education.

Educational Details

Dr. Khan earned his Ph.D. in Chemical Engineering from McGill University, Montreal, Canada (2010–2015), where he was honored with prestigious awards including the McGill Engineering Doctoral Award (MEDA), NSERC fellowship, and the Ulmer-Lamothe Graduate Award. He completed his Master’s in Chemical Engineering from Hanyang University, Seoul, South Korea (2007–2009) under a Higher Education Commission (HEC) Pakistan scholarship. He obtained his Bachelor’s degree with honors in Chemical Engineering from the University of Engineering and Technology (UET) Peshawar, Pakistan (1999–2004), where he consistently ranked among the top students.

Professional Experience

Dr. Khan has held faculty and research positions in esteemed institutions worldwide. He is currently an Associate Professor at King Faisal University (Sep 2023–present), and previously served as Associate Professor and Assistant Professor at UET Peshawar (2019–2023). His international experience includes postdoctoral fellowships at Polytechnique University, Canada, and roles as lecturer and research assistant in both Pakistan and South Korea. His academic contributions include curriculum development, ABET/NCAAA accreditation coordination, academic quality assurance, and student mentorship across undergraduate and postgraduate levels.

Research Interests

Dr. Khan's research spans photocatalysis, advanced oxidation processes, nanomaterials synthesis, wastewater treatment, fluidized bed reactors, graphene-based hydrogels, and green energy solutions. His work integrates experimental techniques with industrial applications and environmental sustainability. He is particularly interested in developing novel semiconductor materials for environmental remediation and clean energy production, such as hydrogen generation using visible-light-active photocatalysts.

Author Metrics

Dr. Khan has authored multiple peer-reviewed journal articles in high-impact international journals such as the International Journal of Hydrogen Energy, Journal of Environmental Chemical Engineering, and Science of Advanced Materials. He is a co-inventor on two U.S. patents and has contributed book chapters to reputable academic publishers like Elsevier and Bentham Science. His scholarly work is well-cited, demonstrating his significant impact in the fields of photocatalysis, nanotechnology, and environmental engineering.

Awards and Honors

Dr. Khan’s academic excellence is marked by numerous awards, including the McGill Engineering Doctoral Award (MEDA), NSERC Canada Fellowship, Ulmer-Lamothe Graduate Award (CAD $110,000), FRQNT Postdoctoral Fellowship (CAD $35,000/year), and HEC Pakistan MS Scholarship (US $54,000). He stood among the top ranks during his undergraduate studies and has been recognized for his teaching, research, and contributions to quality assurance and community engagement in academia.

Publication Top Notes

1. Cerium-Doped Titanium Dioxide (CeT) Hybrid Material, Characterization and Spiramycin Antibiotic Photocatalytic Activity

Author: H. Khan
Journal: Catalysts, Vol. 15, Issue 6, Article 512
Year: 2025
This study investigates a novel cerium-doped titanium dioxide (CeT) hybrid photocatalyst designed for the degradation of Spiramycin, a commonly used veterinary antibiotic. The material was synthesized and extensively characterized using techniques such as XRD, SEM, BET, and UV–Vis spectroscopy. The photocatalytic performance was evaluated under UV light, revealing enhanced degradation rates attributed to improved charge separation and extended light absorption due to cerium doping.

2. Sol-Gel Synthesis of TiO₂ from TiOSO₄ (Part 2): Kinetics and Photocatalytic Efficiency of Methylene Blue Degradation Under UV Irradiation

Author: H. Khan
Journal: Catalysts, Vol. 15, Issue 1, Article 64
Year: 2025
This paper presents the second part of a comprehensive study on TiO₂ synthesis via the sol-gel route using titanium oxysulfate (TiOSO₄) as a precursor. The study focuses on the reaction kinetics and the photocatalytic activity of the synthesized TiO₂ nanoparticles in degrading methylene blue dye under UV irradiation. The results demonstrate favorable kinetics and high degradation efficiency, supporting the potential of this low-cost synthesis method.

3. Graphene-Based Semiconductor Oxide Photocatalysts for Photocatalytic Hydrogen (H₂) Production: A Review

Author: H. Khan
Journal: International Journal of Hydrogen Energy, Vol. 84, pp. 356–371
Year: 2024
Citations: 16
This comprehensive review explores recent advancements in graphene-semiconductor oxide hybrid photocatalysts aimed at enhancing hydrogen production via water splitting. The review discusses synthesis strategies, charge separation mechanisms, and performance metrics of graphene-based systems, particularly those integrating TiO₂, ZnO, and g-C₃N₄. The paper provides critical insights into the future direction of sustainable H₂ generation technologies.

4. TiO₂-Surface Modified Bio-Adsorbent

Inventors: H. Khan, M.U.H. Shah
Patent: US Patent No. 12,059,666
Year: 2024
This patent presents a novel TiO₂-modified bio-adsorbent developed for enhanced removal of pollutants from water. The invention combines the high surface area of bio-based adsorbents with the photocatalytic properties of TiO₂, leading to improved adsorption and degradation of organic contaminants. The material has potential for large-scale environmental remediation applications due to its efficiency and reusability.

5. In Situ Nitrogen-Doped Graphene-TiO₂ Nano-Hybrid as an Efficient Photocatalyst for Pollutant Degradation

Author: H. Khan
Journal: Environmental Science and Pollution Research, Vol. 31, Issue 32, pp. 45383–45398
Year: 2024
Citations: 1
This research article reports the synthesis of an in situ nitrogen-doped graphene-TiO₂ (N-GTiO₂) nano-hybrid and its application in degrading toxic pollutants under visible light. The doping significantly enhances charge carrier separation and light absorption, leading to superior photocatalytic activity compared to pure TiO₂. The work highlights the potential of heteroatom-doped graphene composites in environmental nanotechnology.

Conclusion 

Dr. Hayat Khan exemplifies scientific excellence, innovation, and international leadership in the field of photocatalytic environmental engineering. His multidisciplinary approach, novel material development, and commitment to societal impact through clean water and energy solutions align with the criteria for the Best Researcher Award.

Alaa M. Albishi | Neurorehabilitation | Top Researcher Award

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Assoc. Prof. Dr. Alaa M. Albishi | Neurorehabilitation | Top Researcher Award

Associate professor at King Saud University, Saudi Arabia

Professional Profile:

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Summary:

Dr. Alaa Mohammed Albishi, PT, MSc, PhD, is an Associate Professor of Physical Therapy and a Neurorehabilitation Consultant at King Saud University, Riyadh, Saudi Arabia. With over a decade of experience spanning clinical neurorehabilitation, academic leadership, and advanced neurological research, he is recognized for his significant contributions to stroke rehabilitation, neuroplasticity, and physiotherapy education. Dr. Albishi combines his global academic exposure with deep clinical insight to advance evidence-based practice and innovation in neurorehabilitation.

Educational Background

Dr. Albishi earned his Ph.D. in Biokinesiology (Neurology) from the University of Southern California (2015–2019), where he also gained experience in neuroimaging and brain stimulation techniques. He completed his Master’s in Rehabilitation Sciences (Neurological Rehabilitation) at the University of Pittsburgh (2012–2013) and received his Bachelor’s degree in Physiotherapy with Second Class Honors from King Saud University (2004–2010).

Professional Experience

Dr. Albishi currently serves as an Associate Professor and Neurorehabilitation Consultant at King Saud University (2023–present). He previously held roles as a Senior Physical Therapist in Neurorehabilitation at the same institution (2020–2023), and as a Neuro-Physiotherapist and brain stimulation specialist at the University of Southern California (2015–2020). He has also practiced neuro-physiotherapy at the University of Pittsburgh and completed internships at King Fahad Medical City, National Guard Hospital, and Saudi German Hospital in Riyadh. His academic teaching portfolio includes appointments at King Saud University and the University of Southern California.

Research Interests

Dr. Albishi’s research focuses on neurorehabilitation, stroke recovery, non-invasive brain stimulation (tDCS, TMS), motor control, virtual reality therapy, and functional recovery assessment tools. He has led multiple clinical trials examining the synergistic effects of neurostimulation and task-based therapies on upper limb function post-stroke. He is also actively involved in scale validation, psychometric analysis, and cultural adaptation of rehabilitation assessment tools in Arabic.

Author Metrics

Dr. Albishi has published in high-impact peer-reviewed journals such as Annals of Medicine and Surgery, PLoS One, Frontiers in Bioengineering and Biotechnology, Medicine, Disability and Rehabilitation, and NeuroImage. His recent works investigate motor cortical function, stroke impact scales, and physical activity in special populations. His author metrics reflect a growing international citation base, with multiple articles under review in prominent rehabilitation and neuroscience journals.

Awards and Honors

Dr. Albishi has received multiple prestigious awards, including the Best Rehabilitation Sciences Research Award (2023), the Second Best Research Award from the College of Applied Medical Sciences (2023), and the Faculty Distinguished Academic Career Award (2023). He is a recipient of Saudi Physical Therapy Association’s Research Grant (SPTA24002) and has secured national research funding from the Saudi NIH for his stroke rehabilitation projects involving tDCS and virtual reality-based therapies.

Publication Top Notes

1. Comparison Between Balance Performance Among Female Basketball Players and Non-Basketball Players in Saudi Arabia: A Cross-Sectional Study

  • Journal: Journal of Sports Medicine and Physical Fitness

  • Publication Year: 2025

  • Type: Journal Article

  • DOI: 10.23736/S0022-4707.25.16781-9

  • WOSUID: WOS:001455133400001

  • Author(s): Albishi, Alaa M.

  • Summary: This study evaluated the differences in balance performance between female basketball players and non-athletic counterparts in Saudi Arabia. Results highlighted the superior postural stability and dynamic balance among athletes, contributing to injury prevention strategies and performance enhancement.

2. Cross-Cultural Adaptation and Psychometric Properties of the Arabic Version of the Life Satisfaction Questionnaire (LISAT-9) in Patients with Chronic Spinal Cord Injury

  • Journal: Disability and Rehabilitation

  • Publication Year: 2025

  • Type: Journal Article

  • DOI: 10.1080/09638288.2025.2496353

  • WOSUID: WOS:001476818400001

  • Author(s): Almurdi, Muneera M.; Almutairi, Nehad M.; Alrushud, Asma S.; Alsubiheen, Abdulrahman M.; Albishi, Alaa M.; Alrashed, Fahad A.; Algabbani, Maha F.

  • Summary: This article details the translation, cultural adaptation, and validation of LISAT-9 for Arabic-speaking populations with spinal cord injury, confirming its reliability and construct validity for assessing life satisfaction.

3. Thalamic Volume Differentiates Multiple Sclerosis from Neuromyelitis Optica Spectrum Disorder: MRI-Based Retrospective Study

  • Journal: Frontiers in Neurology

  • Publication Year: 2025

  • Type: Journal Article

  • DOI: 10.3389/FNEUR.2024.1491193

  • WOSUID: WOS:001397525900001

  • Author(s): Alosaimi, Manal; Alkanhal, Hatham; Aldeligan, Saleh; Alkhawajah, Nuha; Albishi, Alaa; Hilabi, Bander; Aljarallah, Salman

  • Summary: This MRI-based study investigated volumetric differences in the thalamus between patients with MS and NMOSD, demonstrating that thalamic atrophy serves as a distinguishing biomarker between the two conditions.

4. Translation, Cross-Cultural Adaptation, and Psychometric Properties of the Arabic Version of the Assessment Life Habits (LIFE-H 3.1) Scale for Patients with Stroke

  • Journal: Disability and Rehabilitation

  • Publication Year: 2025

  • Type: Journal Article

  • DOI: 10.1080/09638288.2025.2503957

  • WOSUID: WOS:001492274700001

  • Author(s): Alaa M. Albishi et al.

  • Summary: This publication presents the Arabic version of the LIFE-H 3.1 scale, developed for post-stroke patients. It assesses participation and social inclusion, showing excellent psychometric properties for use in Arabic clinical contexts.

5. Barriers and Facilitators of Physical Therapy Homecare Services for Patients with Stroke in Saudi Arabia

  • Journal: NeuroRehabilitation: An International, Interdisciplinary Journal

  • Publication Date: May 2025

  • Type: Journal Article

  • DOI: 10.1177/10538135241311186

  • Author(s): Alaa M. Albishi; Al-Shaima M. Howis; Adel A. Alhusaini

  • Summary: This qualitative study explores systemic, personal, and environmental factors influencing the delivery and utilization of physical therapy homecare services for stroke patients in Saudi Arabia. It proposes actionable recommendations for improving home-based rehabilitation.

Conclusion

Assoc. Prof. Dr. Alaa M. Albishi embodies the qualities of a Top Researcher with his robust academic credentials, impactful research portfolio, leadership in neurorehabilitation, and strong commitment to culturally adapted clinical tools. His work bridges fundamental neuroscience, innovative therapies, and practical rehabilitation challenges, especially within Saudi Arabia and Arabic-speaking communities.

With strategic expansion of international collaborations, technology translation, and outreach, Dr. Albishi’s influence is poised to grow further. He is highly deserving of recognition by a Top Researcher Award for his demonstrated excellence, consistent productivity, and contributions to advancing neurorehabilitation science and practice in the region.

Kaan Koçali | Health and Safety | Best Researcher Award

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Assist. Prof. Dr. Kaan Koçali | Health and Safety | Best Researcher Award

Kaan Koçali at Istanbul Gelisim University, Turkey

Author Profile

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Summary

Dr. Kaan Koçali is a Doctor Lecturer at Istanbul Gelişim University, specializing in Occupational Health and Safety. With a multidisciplinary academic background in mining engineering, occupational safety, and entrepreneurship, he combines extensive field experience with active contributions to international academic forums. He has held several administrative roles and has been recognized with numerous awards for his research excellence and academic performance, both nationally and internationally.

Educational Background

Dr. Koçali earned his Ph.D. in Occupational Health and Safety from Istanbul Aydın University in 2021, with a dissertation focused on the legal responsibilities of permanent supervisors in mines within the framework of Turkish laws 3213 and 6331. He holds two master’s degrees: one in Mining Engineering (thesis-based) from Istanbul University, where he investigated the effects of boron compounds on solar panels, and a non-thesis master’s in Occupational Health and Safety from Istanbul Aydın University. Additionally, he completed bachelor's degrees in Mining Engineering (Istanbul University, 2011), Business Administration (Anadolu University, 2022), and Entrepreneurship (Istanbul Kültür University, 2025 - ongoing).

Professional Experience

Since August 2021, Dr. Koçali has served as a Doctor Lecturer at Istanbul Gelişim University, Istanbul Gelişim Vocational School, in the Department of Property Protection and Security, Occupational Health and Safety Program. He has also participated in Erasmus+ academic mobility programs at MEGUNARODEN SLAVJANSKI UNIVERZITET in North Macedonia and SMART LEAP GmbH in Germany. In addition to his academic duties, he has taken on significant administrative roles such as Department Head, Program Coordinator, Erasmus Coordinator, Commission Chair for Performance Evaluation, and Faculty Board Member.

Research Interests

Dr. Koçali’s research focuses on occupational safety regulations in high-risk industries such as mining, safety software development, legal frameworks for occupational supervision, and the effects of chemical compounds in energy applications. He also shows a growing interest in interdisciplinary approaches connecting safety engineering, energy technology, and cybersecurity in occupational settings.

Author Metrics

Author metrics such as h-index, i10-index, or citation counts can be included here if available through Google Scholar, Scopus, or other academic databases. If you provide links or metrics, I can complete this section accordingly.

Awards & Honors

Dr. Koçali has been the recipient of several prestigious accolades for his academic and research contributions. These include the Academic Research Impact Award (SHEN Conferences, 2024), Best Researcher Awards in various international conferences on cybersecurity, science, and engineering (2022–2024), and the Top Researcher Award at the International Conference on Cybersecurity and Cryptography in 2023. Domestically, he received the Academic Performance Award (Third in Unit) from Istanbul Gelişim University in 2024 and was recognized for his academic excellence in Mining Engineering with a departmental second-place award at Istanbul University in 2011. Additionally, he received a Project Award at the EURIE Eurasia Higher Education Summit in 2020.

Publication Top Notes

1. Syrian Migrant Workers and Occupational Health and Safety: Problems Encountered and Policy Recommendations

Authors: K. Koçali, M. Başal
Conference: TAM 4th International Social Sciences Congress
Year: 2025
Summary: This study investigates the occupational health and safety challenges faced by Syrian migrant workers in Türkiye and offers actionable policy recommendations to improve workplace conditions and regulatory compliance.

2. İşyerlerinde İş Sağlığı Hizmetleri

Author: K. Koçali
Book Chapter: Çalışan Sağlığı ve İş Güvenliği, pp. 161–196
Year: 2025
Summary: This comprehensive chapter discusses workplace health services in Turkey, covering legal frameworks, implementation challenges, and the integration of preventive health systems.

3. Transformation Analysis of Occupational Health and Safety Policies in Türkiye within the Framework of the European Union Harmonization Process

Authors: K. Koçali, T. Yapan
Conference: International Congress on Health Sciences, Occupational Health and Safety
Year: 2025
Summary: This paper examines how Türkiye's occupational health and safety policies have evolved due to EU alignment efforts, highlighting policy reforms and their real-world impact.

4. Madencilikte Acil Durum ve Tahliye Planlarının Etkinliği: Simülasyon ile Senaryo Tabanlı Bir Analiz

Authors: H. Erdoğan, K. Koçali
Conference: VI. National Occupational Health and Safety Student Congress
Pages: 45–47
Year: 2025
Summary: Focuses on the effectiveness of emergency and evacuation plans in mining operations using scenario-based simulations to identify critical improvement areas.

5. Thematic Evolution of Occupational Health and Safety Management Research in Small and Medium-Sized Enterprises

Author: K. Koçali
Conference: International Congress on Health Sciences, Occupational Health and Safety
Year: 2025
Summary: Explores research trends and themes in OHS management within SMEs, offering insights into gaps and future research directions to enhance safety culture in smaller enterprises.

Conclusion

Dr. Kaan Koçali is a highly accomplished researcher whose multidisciplinary expertise, strong research output, policy relevance, and international experience make him an excellent candidate for the Best Researcher Award in Occupational Health and Safety. His leadership roles and consistent recognition underscore his impact on both academia and industry. By focusing on publishing in high-impact journals, expanding research into emerging tech, and enhancing dissemination, Dr. Koçali could further solidify his position as a leading figure in his field.

Shakila Rahman | Machine Learning | Best Researcher Award

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Ms. Shakila Rahman | Machine Learning | Best Researcher Award

Lecturer at American International University, Bangladesh

Author Profile

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Summary

Shakila Rahman is a dedicated academician currently serving as a Lecturer in the Department of Computer Science at the Faculty of Science and Technology, American International University-Bangladesh (AIUB). She holds a strong academic background in Artificial Intelligence and Computer Engineering, with her research focusing on emerging areas such as UAV networking, wireless sensor networks, optimization algorithms, and machine learning. Shakila is actively involved in mentoring students, guiding projects, and publishing impactful research in reputed platforms.

Educational Details

Shakila Rahman earned her M.Sc. in AI & Computer Engineering from the University of Ulsan, South Korea, in 2023 with an impressive CGPA of 4.00 out of 4.50. She completed her B.Sc. in Computer Science and Engineering from International Islamic University Chittagong (IIUC), Bangladesh, in 2019, securing a CGPA of 3.743 out of 4.00. Prior to her university education, she completed her Higher Secondary Certificate (HSC) from Cox’s Bazar Govt. College and Secondary School Certificate (SSC) from Cox’s Bazar Govt. Girls’ High School.

Professional Experience

Shakila is currently employed as a Lecturer in the Department of Computer Science and Engineering at AIUB, Dhaka, Bangladesh, where she has been working since January 2023. She previously served as a Graduate Research Assistant at the University of Ulsan, South Korea, from September 2020 to December 2022 under Professor Seokhoon Yoon. Additionally, she worked as an Undergraduate Teaching Assistant at IIUC in 2019. She has participated in technical boot camps and workshops and actively contributes to academic supervision, having guided several student projects and a machine learning-based thesis group.

Research Interests

Her research interests span a wide range of cutting-edge topics including UAV Networking, Wireless Sensor Networks, Network Systems, Optimization Algorithms, Machine Learning, Deep Learning, Image Processing, and AR/VR Applications in Artificial Intelligence. These multidisciplinary areas reflect her focus on building intelligent and adaptive systems for real-world applications.

Author Metrics

Shakila Rahman actively maintains a presence on prominent academic platforms. Her ResearchGate profile can be found at https://www.researchgate.net/profile/Shakila-Rahman-3, and her ORCID ID is 0000-0001-6375-4174. She is also available on LinkedIn at Shakila Rahman. Her published works and citation records are regularly updated on these platforms.

Awards and Honors

During her master's studies, Shakila was awarded the prestigious Brain Korea 21 (BK21) Scholarship and a fully funded AF1 scholarship at the University of Ulsan, valued at approximately USD 21,000. She also received funding from Korean Government-supported National Research Foundation (NRF) projects to support her graduate research publications. These accolades recognize her academic excellence and research contributions in the field of computer science and engineering.

Publication Top Noted

1. Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets

Authors: N. Navin, F.A. Farid, R.Z. Rakin, S.S. Tanzim, M. Rahman, S. Rahman, J. Uddin, ...
Journal: Journal of Imaging, Vol. 11, Issue 5, Article 134
Year: 2025
Citation: 1 (as of now)
Summary:
This study introduces a YOLOv11-based deep learning model designed to recognize both Bangla and English sign language alphabets in real-time. The model was trained on a custom bilingual sign dataset and achieved high accuracy and low latency. The contribution is notable in promoting inclusivity for hearing-impaired communities in multilingual regions like Bangladesh.

2. Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11

Authors: R.Z. Rakin, M. Rahman, K.F. Borsa, F.A. Farid, S. Rahman, J. Uddin, H.A. Karim
Journal: Future Internet, Vol. 17, Issue 5, Article 187
Year: 2025
Summary:
This paper proposes an AI model using YOLOv11 to identify infrastructure faults (e.g., road cracks, bridge damage) through image data. Designed with smart city integration in mind, the model is tested in urban environments and demonstrates high efficiency.

3. A Hybrid CNN Framework DLI-Net for Acne Detection with XAI

Authors: S. Sharmin, F.A. Farid, M. Jihad, S. Rahman, J. Uddin, R.K. Rafi, R. Hossan, ...
Journal: Journal of Imaging, Vol. 11, Issue 4, Article 115
Year: 2025
Summary:
This paper presents DLI-Net, a hybrid CNN framework for classifying and explaining acne severity. It incorporates Explainable AI (XAI) techniques to enhance trust and transparency in medical AI systems.

4. A Deep Q-Learning Based UAV Detouring Algorithm in a Constrained Wireless Sensor Network Environment

Authors: S. Rahman, S. Akter, S. Yoon
Journal: Electronics, Vol. 14, Issue 1, Article 1
Year: 2024
Citation: 2 (as of now)
Summary:
This study explores a reinforcement learning-based approach using Deep Q-Learning for UAV navigation in constrained wireless sensor networks. The algorithm optimizes path planning in real-time, even in environments with signal interference or node failures.

5. A Deep Learning Model for YOLOv9-based Human Abnormal Activity Detection: Violence and Non-Violence Classification

Authors: S. Salehin, S. Rahman, M. Nur, A. Asif, M. Bin Harun, J. Uddin
Journal: Iranian Journal of Electrical & Electronic Engineering, Vol. 20, Issue 4
Year: 2024
Citation: 2 (as of now)
Summary:
This paper proposes a YOLOv9-based model to detect abnormal human activity, particularly violent behavior, in real-time video surveillance. The system is trained on public datasets and achieves high detection accuracy.

Conclusion

Ms. Shakila Rahman is a promising and emerging researcher, with an impressive blend of academic excellence, funded research, and contributions to cutting-edge domains like machine learning and UAV networks. Her commitment to mentoring students and publishing research makes her a very strong candidate for the Best Researcher Award, particularly among early-career researchers or those in developing countries.

Han Zhang | Network Security | Best Researcher Award

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Mr. Han Zhang | Network Security | Best Researcher Award

Associate Professor at Tsinghua University, China

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Summary

Dr. Han Zhang is a Special Research Fellow and Doctoral Supervisor at the Institute for Network Sciences and Cyberspace, Tsinghua University. With a strong foundation in computer science and network security, he has cultivated a career that bridges advanced research and practical innovation in cyberspace governance and network science. His work spans interdisciplinary domains, driving impactful contributions in cybersecurity education and system-level network research. Committed to academic excellence and talent cultivation, Dr. Zhang is recognized for his mentorship and pioneering teaching reforms. He also actively leads collaborative international research, maintaining a strong presence in the global academic community.

Educational Background

Dr. Han Zhang earned his Ph.D. in Computer Science and Technology from Tsinghua University (2013.09–2018.07), under the supervision of Professor Xia Yin. During his doctoral studies, he was a visiting scholar at George Washington University (2016.10–2017.09), working with Prof. Lan Tian in the School of Electrical and Information Engineering. He holds a bachelor’s degree in Computer Science and Technology from Jilin University (2009.08–2013.06). His academic training reflects a solid grounding in both theoretical and applied aspects of computer science, forming the basis for his later work in network security and systems research.

Professional Experience

Dr. Zhang has served as a Special Research Fellow and Ph.D. advisor at the Institute for Network Sciences and Cyberspace, Tsinghua University. He was an Assistant Professor and Master’s Supervisor at the School of Cybersecurity, Beihang University. He has also led courses and supervised graduate research in programming and network security. His roles have consistently involved curriculum reform, student mentoring, and interdisciplinary research collaboration. Dr. Zhang’s academic positions reflect his commitment to both foundational research and the cultivation of next-generation cybersecurity professionals.

Research Interests

Dr. Zhang’s research interests encompass network science, cyberspace governance, system security, and cybersecurity education. His work integrates data-driven methodologies with system design to explore trust, resilience, and efficiency in networked systems. He is particularly focused on enhancing the security of critical infrastructure through intelligent algorithms and robust frameworks. Additionally, he investigates educational strategies for cultivating application-oriented cybersecurity talent. His interdisciplinary perspective positions him at the intersection of theoretical innovation and practical deployment, contributing to the strategic evolution of secure and sustainable digital ecosystems.

Author Metrics

Dr. Han Zhang has published extensively in high-impact journals and conferences in the fields of computer science and network security. He has co-authored significant teaching reform papers, including in Industrial and Information Technology Education, where he explored curriculum innovation and cybersecurity talent development. His academic work is accessible via NetSys Lab, and he has garnered increasing citations for both technical and pedagogical contributions. His collaborative and first-author papers reflect a balanced academic profile, with a growing international scholarly influence in cybersecurity education and network systems research.

Awards and Honors

Throughout his academic career, Dr. Zhang has received multiple accolades for excellence in research, teaching, and innovation. As a Party member, he actively engages in academic leadership and mentorship, contributing to institutional and national education reforms. His teaching reform initiatives have been recognized for their practical impact on developing high-caliber cybersecurity professionals. He has also led and participated in funded projects focused on network security and educational development. These honors reflect his sustained contributions to the advancement of both science and pedagogy in China’s evolving digital landscape.

Publication Top Notes

1. Centralized Network Utility Maximization with Accelerated Gradient Method

Authors: Y. Tian, Z. Wang, X. Yin, X. Shi, J. Yang, H. Zhang
Journal: IEEE Transactions on Networking
Year: 2025 (Forthcoming/Published)
Details: This paper presents a centralized algorithm using an accelerated gradient method for efficient network utility maximization, achieving faster convergence and scalable optimization for large-scale networks.

2. ACME++: A Secure Authorization Mechanism for ACME Clients in the Web PKI Ecosystem

Authors: T. Zhang, H. Zhang, Y. Wei, Y. Li, X. Shi, J. Wang, X. Yin
Conference: Proceedings of the ACM Web Conference (WWW)
Pages: 1058–1067
Year: 2025
Abstract: ACME++ strengthens the ACME protocol by introducing a novel, secure client authorization method within the Web PKI system, improving defense against client impersonation and replay attacks.

3. Poster: Scalable and Interpretable Multilayer Overlay Network Checking via Ensemble Verification

Authors: X. Liu, Y. Li, H. Zhang, X. Yin, X. Shi, Z. Wang, G. Ren, J. Yao
Conference: ACM SIGCOMM 2024 – Posters and Demos Track
Pages: 22–24
Year: 2024
Publisher: ACM
Description: This poster introduces an ensemble-based verification tool enabling scalable analysis and interpretability for multilayer overlay networks used in complex infrastructure setups.

4. Cost-efficient Flow Migration for SFC Dynamical Scheduling in Geo-distributed Clouds

Authors: W. Chen, Z. Wang, H. Zhang, X. Yin, X. Shi
Journal: Computer Networks
Volume: 249
Article Number: 110496
Year: 2024
Publisher: Elsevier
Abstract: This study introduces a dynamic, cost-optimized scheduling algorithm for service function chaining (SFC) across geographically distributed cloud environments, addressing performance and resource constraints.

5. ROV-GD: Improving the Measurement of ROV Deployment Using Graph Difference

Authors: J. He, Y. Li, H. Zhang, C. An, J. Wang
Conference: 2024 IEEE Symposium on Computers and Communications (ISCC)
Pages: 1–7
Year: 2024
Publisher: IEEE
Abstract: ROV-GD leverages graph-difference metrics to refine the measurement accuracy of Route Origin Validation (ROV) deployments, improving BGP routing security assessment.

Conclusion

Dr. Han Zhang exemplifies a modern cybersecurity researcher with a well-rounded profile in theoretical innovation, practical systems research, interdisciplinary integration, and educational reform. His affiliation with Tsinghua University, impactful publications in IEEE and ACM, and his leadership in cybersecurity education firmly establish him as a highly deserving recipient of the Best Researcher Award in Network Security.

Yingfa Lu | Engineering | Best Researcher Award

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Prof. Dr. Yingfa Lu | Engineering | Best Researcher Award

Professor at  Hubei University of Technology, Wuhan, China

Author Profile

Scopus 

Summary

Professor Yingfa LU, is a renowned Chinese academician in the field of geotechnical engineering, currently serving at Hubei University of Technology, Wuhan, China. With a career spanning over three decades, Professor LU has made significant contributions to the study of rock and soil mechanics, unsaturated soils, slope stability, and foundation engineering. His academic and research journey has been shaped by rigorous training in China and France, reflecting a unique blend of Eastern and Western engineering methodologies. He is known for developing new theoretical models, experimental methods, and engineering applications that have transformed the understanding of complex soil behaviors. As a professor and mentor, he has guided numerous graduate students and researchers. His work continues to influence civil infrastructure design and stability assessments. Through international collaborations and pioneering research, Professor LU remains a key figure in advancing the science of geotechnics and soil-structure interaction.

Educational Details

Professor Yingfa LU’s academic foundation is both diverse and prestigious. He earned his Bachelor's degree from Xi’an Jiaotong University, one of China’s top engineering institutions. He then pursued a Master’s degree at the Wuhan Institute of Rock and Soil Mechanics, under the Chinese Academy of Sciences, where he began developing his interest in soil behavior and geotechnical modeling. His academic journey then extended internationally when he completed his Ph.D. at Lille University of Technology in France, focusing on advanced geomechanics. Further expanding his expertise, Professor LU conducted postdoctoral research at the École Nationale des Ponts et Chaussées (ENPC) in Paris, France—one of Europe’s most respected civil engineering schools. This diverse education provided him with a multidisciplinary and multicultural perspective that has deeply influenced his theoretical and applied research. His strong academic credentials have underpinned his career in academia and made him a bridge between Chinese and Western engineering communities.

Professional Experience

Professor LU’s professional career is centered around teaching and research at Hubei University of Technology in Wuhan, China. Here, he has played a leading role in advancing the university’s capabilities in geotechnical engineering and training the next generation of engineers and researchers. His work builds upon his rich international academic exposure, including postdoctoral studies in France. Over the years, he has led several national and international research projects focusing on complex soil behavior, structural foundations, and slope stability. Professor LU is actively involved in academic committees and editorial boards, contributing to the peer-review process and development of engineering standards. His professional contributions extend beyond the classroom and laboratory, influencing practical engineering solutions in infrastructure and environmental stability. He is frequently invited to deliver keynote lectures and participate in scientific forums worldwide. His career reflects a commitment to both theoretical development and the real-world application of geotechnical science.

Research Interests

Professor LU’s research interests lie in rock and soil mechanics, unsaturated soil behavior, slope stability, pile-soil interaction, and geotechnical modeling. He has developed several new testing methodologies for characterizing soil and rock properties under different environmental and mechanical conditions. His work introduced a novel soil-water characteristic curve that links moisture behavior with seepage flow in unsaturated soils—crucial for predicting water movement and soil stability. He proposed an original constitutive model to describe the full stress-strain behavior of soil and rock, contributing to better analysis of ground deformations. His research also redefined pile-soil interaction, leading to two innovative pile types and the development of both force-based and displacement-based design methods. Furthermore, Professor LU has worked on progressive slope failure modeling, proposing a comprehensive theoretical framework that captures multi-stage instability. His most recent studies explore stable seepage and thermal field interactions using novel stress-strain solution techniques, improving safety and efficiency in geotechnical designs.

Author Metric

Professor LU has published extensively in high-impact international and Chinese journals, contributing to the global body of knowledge in geotechnical and civil engineering. His research is widely cited, indicating the relevance and applicability of his theoretical models and engineering solutions. He has authored and co-authored numerous journal articles, conference papers, and technical reports covering subjects such as soil mechanics, slope stability, foundation design, and seepage analysis. His citation metrics demonstrate a strong academic footprint, and his work has become foundational in various specialized areas of geotechnics. In addition to scholarly publications, Professor LU has contributed to textbooks and engineering manuals used by students and practitioners. His active role in scientific communities includes serving as a reviewer and editorial board member for leading journals. His prolific authorship, citation impact, and participation in academic networks affirm his position as a thought leader and innovator in the field of rock and soil engineering.

Awards and Honors

Throughout his career, Professor LU has received numerous accolades recognizing his academic excellence and practical contributions to geotechnical engineering. His innovative models and methods have earned him national and institutional awards, including recognition for his novel approaches to soil-water interaction, slope failure analysis, and pile-soil mechanics. Notably, his invention of new pile types and optimization criteria for foundation design has had a practical impact on civil engineering practices in complex terrains. His work on high ground stress discrimination and constitutive modeling has been acclaimed by academic peers for its originality and application potential. These honors reflect not only his research excellence but also his influence on the engineering profession. His participation in international collaborations and invitation to speak at global conferences further exemplify his esteemed status. As an educator, his mentorship has also been acknowledged through awards for teaching and research supervision, highlighting his dedication to shaping future leaders in geotechnical engineering.

Publication Notes

1. A New Calculation Method of Force and Displacement of Retaining Wall and Slope

Authors: Yingfa Lu, Wenqing Sun, Hao Yang, Junjie Jiang, Lier Lu
Journal: Applied Sciences (Switzerland)
Publication Year: 2023
Access: Open Access
Citations: 4
DOI/Link: (Link disabled)
Abstract Summary: Proposes a new method for calculating the force and displacement of retaining walls and slopes, aimed at improving stability assessments and design accuracy in geotechnical engineering.

2. Stability Analysis of Landfills Contained by Retaining Walls Using Continuous Stress Method

Authors: Yufang Zhang, Yingfa Lu, Yao Zhong, Jian Li, Dongze Liu
Journal: CMES - Computer Modeling in Engineering and Sciences
Publication Year: 2023
Citations: 0
DOI/Link: (Link disabled)
Abstract Summary: Utilizes the continuous stress method to assess the stability of landfills that are supported by retaining walls, offering insights into structural integrity and risk mitigation.

3. Analysis of Progressive Failure Mechanism of Engineering Slope at Dongzhou Avenue, Chibi of Hubei Province

Authors: Bo Huang, Zhixiong Lu, Yingdong He, Yingfa Lu
Journal: Chinese Journal of Geological Hazard and Control
Publication Year: 2022
Citations: 0
DOI/Link: (Link disabled)
Abstract Summary: Investigates the progressive failure behavior of a real-world engineering slope, using field data and modeling techniques to understand failure patterns and preventive measures.

4. Control Design Based on Progressive Failure Characteristics of Slope: Taking Budaiying Slope in Shiyan City, Hubei Province as an Example

Authors: Yingfa Lu, Peng Hu, Yao Zhong, Yufang Zhang, Junjie Jiang
Journal: Yantu Lixue / Rock and Soil Mechanics
Publication Year: 2022
Access: Open Access
Citations: 2
DOI/Link: (Link disabled)
Abstract Summary: This paper presents a slope control design method based on progressive failure characteristics, using the Budaiying slope as a case study. It integrates field investigation and numerical modeling to improve slope safety and failure prediction.

5. Compressive Strength Prediction of Rubber Concrete Based on Artificial Neural Network Model with Hybrid Particle Swarm Optimization Algorithm

Authors: Xiaoyu Huang, Keyang Wu, Shuai Wang, Weichao Deng, Houmin Li
Journal: Materials
Publication Year: 2022
Access: Open Access
Citations: 17
DOI/Link: (Link disabled)
Abstract Summary: This study proposes an artificial neural network (ANN) model optimized using a hybrid particle swarm optimization (PSO) algorithm to accurately predict the compressive strength of rubber concrete, improving material design and construction reliability.

Conclusion:

Professor Yingfa Lu is an outstanding scholar whose pioneering contributions to geotechnical engineering, strong academic foundation, and international collaborations make him a prime candidate for the Best Researcher Award. His work demonstrates a rare blend of academic rigor and practical application, influencing both the scientific community and real-world engineering practices. Recognizing him with this award would honor a lifetime of impactful research and encourage continued innovation in soil-structure interaction and civil infrastructure safety.

Sastry Jammalamadaka | Engineering | Excellence in Research Award

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Prof. Sastry Jammalamadaka | Engineering | Excellence in Research Award

Adjunct Professor at KLEF University, India

Dr. Jammalamadaka Kodanda Rama Sastry, a distinguished academician and technocrat, boasts over 48 years of rich experience spanning academia, research, and industry. He is currently a Professor and Advisor (Quality) at KL University, India, with a career marked by leadership roles in major corporations across the USA, Canada, Europe, and India. A multi-disciplinary scholar, Dr. Sastry holds two PhDs—in Management and Computer Science & Engineering—and has significantly contributed to the fields of Embedded Systems, Artificial Intelligence, Cloud Computing, and Software Engineering.

🔹Professional Profile:

Scopus Profile

Orcid Profile

Googl Scholar Profile

🎓Education Background

  • Ph.D. (Computer Science & Engineering) – JNTU Hyderabad, 2014

  • Ph.D. (Management) – Andhra University, 2005

  • M.E. (Control Engineering) – Andhra University, 1977 – Gold Medalist

  • M.B.A. (Finance) – Andhra University, 1989 – Gold Medalist

  • M.Sc. (Applied Statistics) – Andhra University, 1977

  • B.E. (Electrical Engineering) – Andhra University, 1974

  • Additional Diplomas in Russian Language, COBOL, Project Management, Private Sector Management, etc.

💼 Professional Development

Dr. Sastry brings a rare blend of academic and industrial expertise. He has over 23 years in academia including leadership roles such as Principal, Vice Principal, Director, Dean (R&D, P&D), and Advisor at premier institutions like KL University. His 25+ years in industry include pivotal roles such as Vice President and CEO/CTO in US-based tech firms, and senior engineering roles in global companies like Fertilizer India Ltd., L&T, and Dredging Corporation of India. His global assignments have spanned Canada, Russia, Netherlands, UK, South Africa, and the USA.

🔬Research Focus

  • Embedded Systems

  • Data Science and Cloud Computing

  • Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL)

  • Internet of Things (IoT), Wireless Communication

  • Software Engineering and Cybersecurity

  • Web Technologies and Cognitive Systems

  • Graph Theory and Distributed Systems

📈Author Metrics:

  • Total Publications: 304

    • Journals: 275 (269 International)

    • Conferences: 29 (22 International)

  • Indexed Papers:

    • SCOPUS: 151

    • SCI: 25

    • Other Indexed: 128

  • PhD Scholars Guided: 18 awarded, 6 ongoing

  • Sponsored Projects: Over ₹184 Lakhs funded by DST and CSI

Awards & Honors

  • Best Teacher at KL University for eight consecutive years (2007–2014)

  • Chair of multiple international conferences (India, South Korea)

  • Editor-in-Chief and Executive Editor of reputed international journals

  • Gold Medalist in both MBA and ME degrees

  • Multiple Best Paper Awards from institutions like Institution of Engineers (India), Silicon Valley Publishers, and Ada Love Lace Publishers

  • Best Researcher Award, Global Society for Sensors, 2024

  • Member of various academic, research, and accreditation boards at KL University

  • Directed development of institutional ERP systems, NIRF rankings, and ISO certification processes

Research Skills

  • Embedded Systems: Design, testing, side-channel security, and distributed systems.

  • AI/ML/DL: Fault tolerance, cognitive modeling, and deep learning applications.

  • IoT & Edge Computing: Network optimization, fault tolerance, and security.

  • Cloud Computing: Migration strategies, resource optimization, and cloud security.

  • Software Engineering: Cleanroom methods, software similarity, and secure development.

  • Cybersecurity: Data privacy in cloud/edge systems and secure healthcare data handling.

  • Data Science: Mining, warehousing, analytics, and financial data systems.

  • Wireless & Signal Processing: Channel modeling, estimation, and 5G testing.

  • Graph Theory & Cognitive Systems: Smart network modeling and system intelligence.

  • Research Infrastructure: Lab setup, academic systems, metrics, and policy frameworks.

📝Publication Top Notes

📘 1. Using Learning and Cognitive Models for Assessing Quality of Content Hosted into Websites

  • Authors: SKR Jammalamadaka, ST Shaik, HB Duddempudi, K Sana, ...

  • Journal: Advances in Differential Equations and Control Processes

  • Volume/Issue: 32 (2)

  • Pages: 2343–2343

  • Year: 2025

  • Summary:
    This paper proposes a novel approach using learning and cognitive models to evaluate the quality of web content. The methodology integrates AI-based assessment tools and cognitive computing principles to analyze user interaction, relevance, and structural quality of online content, enabling objective, automated quality grading for web platforms.

📗 2. Making IoT Networks Highly Fault-Tolerant Through Power Fault Prediction, Isolation and Composite Networking in the Device Layer

  • Authors: KRS Jammalamadaka, B Chokara, SB Jammalamadaka, BK Duvvuri

  • Journal: Journal of Sensor & Actuator Networks

  • Volume/Issue: 14 (2)

  • Year: 2025

  • Summary:
    This work introduces a device-layer fault prediction and isolation mechanism for IoT networks. By integrating predictive analytics and composite networking strategies, the model proactively identifies and mitigates power-related faults, significantly enhancing the fault-tolerance and reliability of IoT environments.

📙 3. Finding Negative Associations from Medical Data Streams Based on Frequent and Regular Patterns

  • Authors: SKR Jammalamadaka, RR Budaraju

  • Journal: Contemporary Mathematics

  • Pages: 1434–1454

  • Year: 2025

  • Summary:
    This paper focuses on mining negative association rules from continuous medical data streams. Using frequent and regular pattern mining techniques, the study reveals hidden, inverse relationships between symptoms, treatments, and outcomes—valuable for predictive diagnostics and clinical decision-making.

📕 4. Crowd Distance Induced Multi-Objective Binary Salp Swarm Optimization Algorithm for Mining High-Frequency and Utility Itemsets

  • Authors: RR Budaraju, SKR Jammalamadaka

  • Journal: SN Computer Science

  • Volume/Issue: 6 (2)

  • Article ID: 163

  • Year: 2025

  • Summary:
    This research proposes a modified binary salp swarm optimization algorithm incorporating crowd distance for multi-objective utility-based data mining. The method is optimized for identifying high-utility and high-frequency itemsets from large datasets, with applications in e-commerce, market analysis, and recommendation systems.

📒 5. Networking Microcontrollers and Balancing the Load on the Service Servers to Enhance the Fault Tolerance of the IoT Networks

  • Authors: SKR Jammalamadaka, B Chokra, SB Jammalamadaka, BK Duvvuri

  • Journal: Mathematics (ISSN: 2227-7390)

  • Volume/Issue: 12 (23)

  • Year: 2024

  • Summary:
    The study introduces a technique for balancing service loads across microcontroller-based IoT systems. By effectively networking microcontrollers and redistributing service loads, the proposed model minimizes the risk of single points of failure and enhances network robustness and scalability.

.Conclusion:

Prof. Dr. JKR Sastry stands out as a highly deserving candidate for the Excellence in Research Award. His prolific publication record, interdisciplinary expertise, global experience, commitment to research mentorship, and contributions to national research infrastructure make him an exemplar of academic excellence in engineering.

Hafsa Abbade | Energy | Best Scholar Award

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Ms. Hafsa Abbade | Energy | Best Scholar Award

Hafsa Abbade at ISA Laboratory, National School of Applied Sciences (ENSA), Ibn tofail university, Morocco

Hafsa Abbade is a Doctoral Researcher and State Engineer in Electrical Engineering with a specialization in Renewable Energy. Passionate about sustainable technologies and smart systems, she combines rigorous academic training with hands-on project experience in automation, intelligent energy systems, and robotics. With a strong command of programming, simulation tools, and embedded systems, she actively contributes to research in hydrogen-based electric vehicles and energy management systems.

Professional Profile:

Orcid Profile

Education Background

  • Doctorate in Electrical Engineering (Ongoing since Nov. 2024)
    Laboratoire des systèmes avancés (ISA), ENSA Kenitra
    Research Topic: Intelligent energy control and management system for hydrogen electric vehicles

  • State Engineer’s Degree in Electrical Engineering – Renewable Energies (2021–2024)
    ENSA Kenitra
    Graduation Project: Automation and supervision of a pumping station with ISPSoft/DOPSoft

  • Integrated Preparatory Classes for Engineering (2019–2021)
    ENSA Kenitra

  • Baccalaureate in Physical Sciences – French Option (2018–2019)
    Lycée MOHAMED V, Kenitra

Professional Development

  • Doctoral Research & Teaching Assistant in Electrical Engineering (Nov. 2024 – Present)
    ENSA Kenitra – ISA Lab
    Research on intelligent control systems for hydrogen vehicles.

  • Final Year Internship (Feb. – June 2024)
    POWER INTEGRATION, Casablanca
    Automated and supervised a large-scale pumping station.

  • Engineering Intern (July – Sept. 2023)
    CEGELEC VINCI Energies, Casablanca
    Designed electrical systems for CLUB MED Marrakech: power studies, cable routing, and transformer selection.

  • Technical Intern (July – Aug. 2022)
    ONCF (Moroccan National Railway Office)
    Observational training on LGV substations and energy efficiency.

Research Focus

  • Intelligent energy management systems

  • Hydrogen and fuel cell electric vehicles

  • Automation and control systems

  • Renewable energy systems (solar, wind)

  • IoT and smart robotics integration in energy

Author Metrics:

Hafsa Abbade is an emerging researcher in the field of electrical engineering with a particular focus on intelligent systems for energy management. Her academic contributions are beginning to gain visibility in indexed repositories such as Web of Science and other scholarly databases. She has authored and co-authored early-stage research outputs including technical dissertations and preprints centered on renewable energy integration and hydrogen fuel cell systems. As her doctoral research progresses, she aims to publish in high-impact journals and international conferences to strengthen her research visibility and citation profile. Her research dissemination strategy includes participation in scientific workshops, co-authored publications, and collaborative research dissemination through institutional platforms.

Awards & Honors

3rd Place, National Competition – JobItDay "AI for Humanity" (2023)

Research Skills

Hafsa’s research skills span renewable energy systems, electric machine control, automation, and IoT-based smart solutions. She is proficient in MATLAB/Simulink, PVsyst, ISPSoft, Arduino, and R programming. Her work includes AI-integrated robotics, smart irrigation, and data-driven energy analysis. She is also experienced in scientific writing, statistical modeling, and bibliometric research using tools like the Web of Science.

Publication Top Notes

Deep Learning-Based Performance Modeling of Hydrogen Fuel Cells Using Artificial Neural Networks: A Comparative Study of Optimizers

  • Authors: Hafsa Abbade, Hassan El Fadil, Abdellah Lassioui, Abdessamad Intidam, Ahmed Hamed, Yassine El Asri, Abdelouahad Fhail, Anwar Hasni

  • Journal: Processes

  • Volume: 13

  • Issue: 5

  • Article Number: 1453

  • Publication Date: May 9, 2025

  • DOI: 10.3390/pr13051453

  • Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

.Conclusion:

Ms. Hafsa Abbade is a promising and well-deserving candidate for the Best Scholar Award in Energy. Her technical versatility, impactful early research, and strong focus on hydrogen fuel cell technologies place her at the forefront of next-generation energy research. With her ongoing doctoral work, she is expected to make significant academic and practical contributions to the field of renewable energy and smart systems.

Mingxia Wei | E-Commerce | Best Researcher Award

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Dr. Mingxia Wei | E-Commerce | Best Researcher Award

Professor at Henan University of Technology, China

Professor Mingxia Wei is a renowned scholar in the field of management science, specializing in digital finance, e-commerce operations, and risk management. He has made significant academic contributions through his extensive research output, mentorship, and leadership in higher education. Currently serving as a professor at Henan University of Technology, Professor Wei continues to influence policy and practice in digital commerce ecosystems and financial innovation. He has authored more than 100 research papers and five books, earning recognition as a leading academic voice in China’s digital economy landscape.

🔹Professional Profile:

Scopus Profile

🎓Education Background

Professor Wei received his Ph.D. in Management Science and Engineering from Wuhan University of Technology, one of China’s prominent institutions for technological research and innovation. His doctoral work laid the foundation for his research in the areas of digital finance and e-commerce systems, which continue to be his primary areas of scholarly focus.

💼 Professional Development

Since 2013, Professor Wei has been a faculty member at Henan University of Technology, where he holds a professorial position in the School of Management. Over the years, he has taken on a range of responsibilities, including teaching, academic leadership, supervising postgraduate students, and leading major research initiatives. His experience also includes contributions to national-level research projects and collaborations with academic institutions and industry stakeholders in the field of digital business and risk governance.

🔬Research Focus

Professor Wei’s core research interests lie in digital finance, e-commerce operation and management, and credit risk assessment in online commercial ecosystems. His work also explores consumer behavior in cross-border e-commerce, food safety governance in digital supply chains, and the development of intelligent risk-control models. Through his interdisciplinary approach, he bridges data-driven decision-making with policy-oriented outcomes.

📈Author Metrics:

Professor Wei has published over 100 articles in indexed journals, including Scopus-listed and high-impact publications. He is the author of five academic books on e-commerce systems and digital risk management. His Scopus Author ID is 14020821600, and his research output reflects a strong citation profile and ongoing engagement with cutting-edge issues in digital commerce and financial innovation.

Awards & Honors

While detailed listings of awards are not publicly available, Professor Wei’s academic recognition stems from his prolific publishing record and thought leadership in digital finance and e-commerce. His roles in high-impact research projects and contributions to China’s e-commerce risk frameworks position him as a leading expert in his field. He is frequently invited to speak at conferences and collaborate with other researchers across institutional and national boundaries.

📝Publication Top Notes

1. Influence of Manager Capability on Firms’ Adoption Intention of Central Bank Digital Currency: An Empirical Study Based on TOE Framework

Authors: Y. Xia, Qianqian Chen, Lin Huang, Mingxia Wei, Zhenke Wei
Journal: Journal of Organizational Computing and Electronic Commerce
Year: 2025
DOI: 10.1080/10919392.2025.2502310

Summary:
The study explores how managerial capabilities influence firms’ willingness to adopt central bank digital currency (CBDC), using the Technology-Organization-Environment (TOE) framework. It emphasizes the critical role of management competence in fostering digital innovation acceptance among firms.

.Conclusion:

Dr. Mingxia Wei stands out as a leading figure in digital finance and e-commerce research. His sustained scholarly output, academic leadership, and contribution to cutting-edge topics like CBDC adoption and digital risk assessment mark him as a prime candidate for the Best Researcher Award. With minor enhancements in international visibility and award documentation, his candidacy would be further strengthened.