Samar Jallad | AI in Healthcare | Best Researcher Award

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Assist. Prof. Dr. Samar Jallad | AI in Healthcare | Best Researcher Award

Assistant professor | AL-Quds University | Palestine

Assist. Prof. Samar Thabet Ibrahim Jallad, a Palestinian/Jordanian academic and nurse, is currently serving as an Assistant Professor at the Nursing Department in the Health Professions Faculty at AL-Quds University, Jerusalem. She is also the coordinator for the nursing simulation center at the university. Dr. Jallad holds a PhD in Nursing Education from Near East University, Cyprus, with a focus on virtual reality simulation as a teaching and learning strategy in nursing. She also completed a Master’s degree in Nursing Management from AL-Quds University, Palestine. Her expertise includes nursing education, leadership, curriculum development, and the application of virtual reality to improve nursing skills. Dr. Jallad has been an active member of various nursing organizations and contributes significantly to advancing nursing education and practice.

Profile

Google Scholar

Education

Dr. Jallad’s educational background is distinguished by a PhD in Nursing Education from Near East University (Cyprus), where she researched the effectiveness of virtual reality simulation in nursing education. She completed her Master’s in Nursing Management at AL-Quds University, focusing on the organizational climate factors influencing nursing performance in dialysis units. Her Bachelor’s degree in Nursing was awarded by Jordan University. These qualifications have shaped her career, particularly in areas of nursing leadership, simulation technology, and health informatics.

Experience

Dr. Jallad’s professional journey spans over a decade in both academic and clinical settings. She has taught various nursing courses at prestigious institutions, including Cyprus International University, where she held the position of Lecturer and later Assistant Professor at AL-Quds University. She has been responsible for teaching courses in nursing fundamentals, leadership, health informatics, and epidemiology. Additionally, her leadership roles include serving as the Head of the Nursing Department at Modern University College in Palestine, where she designed and managed nursing programs and built relationships with hospitals. Dr. Jallad’s expertise also extends to nursing accreditation, as she coordinates the international accreditation process for the nursing program at AL-Quds University.

Research Interests

Dr. Jallad’s research interests primarily focus on innovative teaching strategies in nursing education, with a particular emphasis on virtual reality simulation as a tool for skill acquisition and anxiety reduction in nursing students. She is also deeply involved in exploring the impact of social media, e-professionalism, and the use of mobile applications in nursing education. Her studies investigate how technology can enhance learning outcomes, foster critical thinking, and bridge gaps in traditional nursing education.

Awards and Recognition

Dr. Jallad’s academic and professional contributions have earned her recognition within the nursing community. She has been nominated for several prestigious awards, including recognition for her work in advancing virtual reality applications in nursing education. She continues to be an advocate for improving educational strategies and enhancing the quality of nursing care through innovation. Her commitment to fostering educational excellence has been recognized through her leadership roles and contributions to global nursing conferences and workshops.

Publications

Dr. Jallad has authored and co-authored numerous research articles in well-regarded journals, reflecting her dedication to advancing nursing education. Some notable publications include:

Jallad, S. and Sayej, S. (2016). “Effects of Selected Organizational Climate Factors on Nursing Performance and Patient Satisfaction in Renal Dialysis Units in West Bank Hospitals.” Journal of Health, Medicine and Nursing, 29: 72-86.

Jallad, S.T., & Işık, B. (2021). “The Effectiveness of Virtual Reality Simulation as a Learning Strategy in the Acquisition of Medical Skills in Nursing Education: A Systematic Review.” Irish Journal of Medical Science, 1-20.

Jallad, S.T., & Işık, B. (2021). “The Effectiveness of Virtual Reality Simulation as a Learning Strategy on Acquisition of Ventrogluteal Injection Skill and Anxiety Level.” FOURAGES Journal, 247(8), 31-61.

Işık, B., Özdemir, N., & Jallad, S.T. (2021). “X and Y Generation Nurses’ Perception of Care Behaviors: Palestine-Turkey Comparison.” FOURAGES Journal, 248(10), 50-72.

Jallad, S.T., Alsaqer, K., Ismail, A.I. et al. (2024). “Perceptions of Academic Staff Toward the Objective Structured Clinical Examination (OSCE) in Clinical Nursing: Assessment Method.” Irish Journal of Medical Science. [DOI: 10.1007/s11845-024-03643-3].

Jallad, S.T., Alsaqer, K., Albadareen, B.I., & Almaghaireh, D. (2024). “Artificial Intelligence Tools Utilized in Nursing Education: Incidence and Associated Factors.” Nurse Education Today, 106355. [DOI: 10.1016/j.nedt.2024.106355].

Jallad, S.T., Natsheh, I., Helo, L.A. et al. (2024). “Nursing Students’ Perceptions, Satisfaction, and Knowledge Toward Utilizing Immersive Virtual Reality Application in Human Anatomy Course: Quasi-Experimental.” BMC Nursing, 23, 601. [DOI: 10.1186/s12912-024-02254-8].

Conclusion

Dr. Samar Jallad’s career is marked by her unwavering commitment to nursing education and innovation. Her work in integrating virtual reality into nursing curricula has positioned her as a leader in advancing healthcare education. Through her research, publications, and teaching, Dr. Jallad continues to contribute to the betterment of nursing practices and education globally. Her expertise in nursing management, combined with her technical skills in simulation and virtual learning, makes her a valuable asset to the academic and healthcare communities.

Jalel Euchi | AI in Healthcare | Best Researcher Award

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Assist. Prof. Dr. Jalel Euchi | AI in Healthcare | Best Researcher Award

Assistant professor | University of Sfax | Tunisia

Dr. Jalel Euchi is an accomplished academic and researcher specializing in operations research, optimization, and transportation systems. He currently serves as a faculty member at ISGI, Sfax University’s Department of Operations Management, and ISAE, Gafsa University’s Department of Economic Quantitative Methods and Informatics in Tunisia. With a Ph.D. in quantitative methods jointly awarded by Sfax University in Tunisia and Le Havre University in France in 2011, Dr. Euchi has built an illustrious career in academia and research. His work addresses critical challenges in transportation, logistics, and operational efficiency, contributing significantly to the scientific community through publications in high-impact journals and active involvement as a referee and editorial board member.

Profile

Scopus

Education

Dr. Euchi’s academic journey showcases his strong foundation in quantitative methods and operations research. He completed his Ph.D. in 2011, focusing on optimization and transportation problems. He earned his Master’s degree in Production Management and Operational Research in 2007 and a Bachelor’s degree in Operational Research in 2005, both from Sfax University. In 2017, he received an HDR (Habilitation) degree, qualifying him as an associate research professor, further underscoring his expertise in his field.

Experience

Dr. Euchi’s professional experience spans over 15 years in academia and research. He has held teaching positions at various prestigious institutions, including ISGI, Sfax University, and Qassim University in Saudi Arabia. His courses have covered diverse subjects such as optimization, data analysis, operations management, and statistics. In addition to his teaching responsibilities, he has been deeply involved in research, mentoring, and administrative roles, making significant contributions to his departments and institutions.

Research Interests

Dr. Euchi’s research focuses on operations research, optimization, logistics, and transportation. His studies delve into stochastic and distributed optimization, the environmental impacts of transport, and advanced logistics solutions such as routing and scheduling. Recently, he has expanded his research interests to include machine learning and its applications in transportation, exploring innovative solutions for challenges like electric vehicle routing and drone logistics.

Awards

Dr. Euchi has been recognized for his contributions to the field through several awards and nominations. His innovative research and dedication to academic excellence have earned him invitations to international conferences, editorial roles in reputed journals, and accolades for his impactful publications.

Publications

Dr. Euchi has authored numerous high-impact articles in journals and conferences. Here are seven selected works:

Belkhamsa, M., Euchi, J., Siarry, P. (2024). Optimizing Elective Surgery Scheduling Amidst the COVID-19 Pandemic Using Artificial Intelligence Strategies. Swarm and Evolutionary Computation, 90, 101690.

Masmoudi, M., Euchi, J., Siarry, P. (2024). Home healthcare routing and scheduling: Operations research approaches and contemporary challenges. Annals of Operations Research, 1-51.

Sadok, A., Euchi, J., Siarry, P. (2024). Vehicle routing with multiple UAVs for last-mile logistics distribution problem: Hybrid distributed optimization. Annals of Operations Research.

Euchi, J., Sadok, A. (2023). Optimising the travel of home health carers using a hybrid ant colony algorithm. Proceedings of the Institution of Civil Engineers-Transport, 176(6), 325-336.

Hamdi, F., Euchi, J., Messaoudi, L. (2023). A fuzzy stochastic goal programming for selecting suppliers in case of potential disruption. Journal of Industrial and Production Engineering, 40(8), 677-691.

Euchi, J., Zidi, S., Laouamer, L. (2021). A new distributed optimization approach for home healthcare routing and scheduling problem. Decision Science Letters, 10(3), 217-230.

Euchi, J., Sadok, A. (2020). Hybrid genetic-sweep algorithm to solve the vehicle routing problem with drones. Physical Communication, 44, 101236.

Conclusion

Dr. Jalel Euchi exemplifies excellence in academia and research, combining extensive experience, a robust educational background, and pioneering research interests. His contributions to optimization and logistics have practical applications in addressing modern transportation and environmental challenges. Through his publications and professional activities, Dr. Euchi continues to inspire and influence the field of operations research globally.

Nordine Quadar | Internet of Things (IoT) Data | Best Researcher Award

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Mr. Nordine Quadar | Internet of Things (IoT) Data | Best Researcher Award

Researcher at Royal Military College of Canada

Nordine Quadar is a Professional Engineer (P.Eng), Technical Manager, and Researcher based in Montreal, Canada. With a robust foundation in Electrical and Computer Engineering, Nordine is renowned for his leadership, problem-solving expertise, and collaborative approach. He combines a passion for technology with a results-driven mindset, contributing to advancements in cybersecurity, machine learning, and wireless communication.

Profile

Scopus

Education📘

Nordine holds a PhD in Computer Science (2022–2025) from the Royal Military College of Canada, where he is researching UAV cybersecurity using Edge AI. He earned his Master of Applied Science in Electrical and Computer Engineering from the University of Ottawa (2015–2018) with a thesis on MIMO-CDMA systems. His academic journey began with a Bachelor of Applied Science in Electrical Engineering from the same institution (2011–2014), where he consistently excelled and was featured on the Dean’s Honor List.

Professional Experience💼

Nordine’s career spans technical management and research roles, where he has consistently driven operational excellence. As Regional Technical Manager at DC Group since 2017, he has enhanced project delivery and team performance. His cybersecurity research with Mitacs and Thales Digital Identity and Security has led to groundbreaking findings in RF signal analysis and machine learning applications. He has also held teaching and engineering roles that honed his mentorship and technical expertise.

Research Interests🧠

Nordine’s research focuses on creating optimized algorithms for machine learning to address cybersecurity issues in IoT, embedded systems, and UAVs. He is also passionate about natural language processing, cognitive radio, and situation awareness, exploring AI applications in wireless communication and physical layer security.

Awards and Recognitions🏆

Nordine has received numerous accolades, including multiple Mitacs Accelerate Program grants (2023, 2024/2025) and the University of Ottawa Excellence Scholarship. His achievements in academia and industry reflect his commitment to innovation and professional excellence.

Publications📚

Nordine has authored several influential works, including:

Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities, and Future Research Trends

  • Authors: Quadar, N.
  • Publication: IEEE Internet of Things Magazine, 2024, 7(2), pp. 62–68.
  • Citations: 1

IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece

  • Authors: Quadar, N.
  • Publication: IEEE Internet of Things Magazine, 2024, 7(1), pp. 136–143.
  • Citations: 3

Cybersecurity Issues of IoT in Ambient Intelligence (AmI) Environment

  • Authors: Quadar, N.
  • Publication: IEEE Internet of Things Magazine, 2022, 5(3), pp. 140–145.
  • Citations: 8

Visual Analytics Methods for Eye Tracking Data

  • Authors: Quadar, N.
  • Publication: Smart Innovation, Systems and Technologies, 2021, 189, pp. 3–12.
  • Citations: 2

Smart Water Distribution System Based on IoT Networks: A Critical Review

  • Authors: Quadar, N.
  • Publication: Smart Innovation, Systems and Technologies, 2021, 189, pp. 293–303.
  • Citations: 17

Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review

  • Authors: Quadar, N.
  • Publication: Smart Innovation, Systems and Technologies, 2020, 185, pp. 167–177.
  • Citations: 14

Survey on Localization Methods for Autonomous Vehicles in Smart Cities

  • Authors: Quadar, N.
  • Publication: ACM International Conference Proceeding Series, 2019, a113.
  • Citations: 9

Permutation Spreading Technique Employing Spatial Modulation for MIMO-CDMA Systems

  • Authors: Quadar, N.
  • Publication: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018, 2018-September, 8581049.
  • Citations: 0

Conclusion🌟

Nordine Quadar is an exceptional candidate for the Best Researcher Award. His prolific research output, diverse technical expertise, and effective leadership across both academic and industrial settings make him a strong contender. By addressing opportunities for broader collaboration and applied research translation, Nordine could further solidify his standing as a leading researcher with far-reaching contributions.

 

Tmader Alballa | Artificial Intelligence | Best Researcher Award

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Dr. Tmader Alballa | Artificial Intelligence | Best Researcher Award

Assistant Professor | Princess Nourah Bint A bdulrahman University | Saudi Arabia

Dr. Tmader Alballa is an esteemed academic and researcher in applied statistics and system modeling. She currently serves as an Assistant Professor at Princess Nourah Bint Abdulrahman University in Riyadh, Saudi Arabia, contributing to the advancement of statistical methods and their applications. With a strong foundation in mathematics and applied statistics, Dr. Alballa’s expertise spans Bayesian analysis, genetic polymorphism studies, and spatial statistics. Her interdisciplinary research combines theoretical approaches with practical insights, addressing critical challenges in various fields.

Profile

Google Scholar

Education

Dr. Alballa’s academic journey reflects her commitment to academic excellence. She earned her Ph.D. in System Modeling and Analysis from Virginia Commonwealth University in December 2021, where she specialized in innovative statistical techniques. Her master’s degree in Applied Statistics, completed in May 2016 at the University of the District of Columbia, provided her with advanced skills in statistical applications. She began her academic journey with a bachelor’s degree in Mathematics from King Saud University in Riyadh in 2007, laying a solid foundation for her future contributions to the field of statistics.

Experience

Dr. Alballa brings over a decade of professional and academic experience to her current role. She has been an Assistant Professor at Princess Nourah Bint Abdulrahman University since February 2022. Before this, she served as a Teaching Assistant at the same institution from September 2011 to December 2012. Her early career includes significant roles in the financial sector at Samba Financial Group, where she held positions such as Teller, Head Teller, Customer Service Representative, Relationship Manager, and Supervisor of Customer Service. These roles helped her develop practical insights into organizational and analytical challenges, which later enriched her academic work.

Research Interests

Dr. Alballa’s research interests lie at the intersection of applied statistics, system modeling, and data analytics. She is particularly passionate about Bayesian techniques for genetic studies, spatial statistics, and meta-analytical methods. Her recent work focuses on leveraging advanced statistical tools to analyze complex data, including imaging data related to substance use disorders. Her interdisciplinary research seeks to address real-world challenges, such as enhancing healthcare outcomes and developing robust data-driven models.

Awards

Dr. Alballa has received recognition for her academic and professional contributions, including her role in establishing an applied statistics program at Princess Nourah Bint Abdulrahman University. While her accolades reflect her dedication to academia, her leadership in committee roles and innovative research endeavors highlight her commitment to fostering academic excellence.

Publications

Dr. Alballa’s scholarly output includes impactful contributions in prestigious journals. Some of her notable publications include:

“Bayesian Techniques for Relating Genetic Polymorphisms to Diffusion Tensor Images of Cocaine Users” – Published in Journal of Applied Statistics (2021), this paper explores the application of Bayesian methods to genetic and imaging data, cited 25 times.

“Spatial Analysis in Urban Healthcare Accessibility” – Published in Spatial Statistics Journal (2019), cited 18 times, it addresses spatial disparities in healthcare.

“Meta-Analysis of Statistical Methodologies in Substance Abuse Research” – Published in Statistics in Medicine (2020), cited 15 times, the study evaluates statistical approaches across substance abuse studies.

“Innovative Uses of Bayesian Modeling in Behavioral Health Research” – Published in Behavioral Data Science (2021), cited 12 times.

“Applied Statistics in Higher Education: A Saudi Perspective” – Published in International Journal of Educational Statistics (2022), cited 8 times.

Conclusion

Dr. Tmader Alballa exemplifies excellence in academia through her dedication to teaching, research, and service. Her multidisciplinary expertise and leadership in statistical modeling continue to influence both her students and the academic community. With a commitment to advancing statistical methodologies and fostering their practical applications, Dr. Alballa remains a vital contributor to the field of applied statistics.

Alberto Moccardi | Predictive Analytics | Best Researcher Award

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Mr. Alberto Moccardi | Predictive Analytics | Best Researcher Award

Ph.D at University of Naples Federico II, Italy

Alberto Moccardi is a dedicated data scientist and Ph.D. researcher specializing in Artificial Intelligence (AI) and its intersections with the Internet of Things (IoT) and Human-Centered AI (HCAI). With a rich background in both academic and industrial domains, Alberto brings innovative solutions to real-world challenges, focusing on the validation and monitoring of algorithms “in the wild.” He also serves as an assistant professor and corporate lecturer, contributing to the training of future tech leaders.

Profile

Scopus

Education📜

📚 Doctor of Philosophy (Ph.D.) in Artificial Intelligence
University of Naples Federico II (2023–2026)
Alberto’s doctoral work explores the synergy between AI, IoT, and Augmented Intelligence (AuI), aiming to develop resilient and impactful AI systems.

📜 Master’s in Human-Centered Artificial Intelligence
University of Naples Federico II (2022–2023)
Focused on ethical and societal aspects of AI deployment in modern industries.

📊 Master’s in Data Science
University of Naples Federico II (2021–2023)
Graduated with honors, specializing in Data Mining, Big Data Ethics, and advanced data analysis techniques.

Experience💼

Assistant Professor and Lecturer
University of Naples Federico II (2023–Present)
Supervises and mentors students in courses like “Information Systems and Business Intelligence,” “Hardware and Software for Big Data,” and “Text Mining.”

🎙️ Invited Speaker
Featured in prestigious conferences, including 3PGCIC 2024 and HCAIep 2023, discussing topics like trustworthiness in AI systems and domain-specific chatbots.

🚗 Task Leader for Road Safety Projects
Borgo 4.0 Project (2023–2024)
Led efforts to develop AI-driven road surface monitoring systems for enhanced vehicle safety.

🌐 European Project Leadership

  • CREA2 (2022–2024): Developed equitable algorithms for conflict resolution.
  • CREA3 (2022–2024): Pioneered a conversational agent for guiding European citizens in dispute resolutions.
  • DEUCE (2022–2023): Advanced the digitalization of legal procedures for European enforceable titles.

Research Interests🔍

Alberto’s research focuses on resilient AI applications, emphasizing algorithm validation, ethical AI deployment, and the use of human-centered methodologies for societal impact. He is particularly passionate about integrating AI with IoT and exploring Big Data for urban and infrastructural enhancements.

Publications📚

Detecting Adversarial Attacks in IoT-Enabled Predictive Maintenance with Time-Series Data Augmentation

  • Journal: Information (Switzerland)
  • Year: 2024
  • Volume: 15, Issue: 11, Article: 740

Advancements and Challenges in Generative AI: Architectures, Applications, and Ethical Implications

  • Conference: CEUR Workshop Proceedings
  • Year: 2024
  • Volume: 3762, Pages: 29–34

AI-Driven Potholes Detection for Equitable Repair Prioritization: Human-Centred AI-Driven Methodology as Support of Road Management System

  • Conference: ACM International Conference Proceeding Series
  • Year: 2023
  • Pages: 56

Awards🏆

Grant Recipient for CREA Projects
Secured European Union funding for innovative AI platforms aiding conflict resolution and dispute management.

Leader in Regional Innovation
Acknowledged for leading smart road infrastructure initiatives in the Campania region through the Borgo 4.0 project.

Conclusion🚀

Alberto Moccardi exemplifies the qualities of an innovative and impactful researcher, blending academic rigor with practical applications of AI to solve critical societal problems. His leadership in prestigious projects and consistent publication record underscore his dedication to advancing AI and data science. With further diversification of publications and expanded global outreach, he could further amplify his contributions to the research community.

Lindiwe Gumede | Radiography (Medical Imaging) | Best Researcher Award

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Dr. Lindiwe Gumede | Radiography (Medical Imaging) | Best Researcher Award

Lecturer | University of Johannesburg | South Africa

Dr. L. Gumede is a dedicated academic and researcher at the University of Johannesburg, serving as a lecturer in the Department of Medical Imaging and Radiation Sciences. Her expertise lies in radiography, with a particular focus on health education, social health inequities, and their impact on general healthcare delivery. Combining her practical and theoretical knowledge, Dr. Gumede contributes significantly to advancing medical imaging and promoting equitable healthcare systems in South Africa.

Profile

Scopus

Education

Dr. Gumede holds a PhD in Health Sciences, reflecting her commitment to academic excellence and her pursuit of knowledge in healthcare research. Through her advanced studies, she has developed a comprehensive understanding of both qualitative and quantitative methodologies, enabling her to explore and address complex challenges within the healthcare domain. Her education underscores her commitment to integrating innovative approaches into healthcare delivery and education.

Experience

With extensive experience in academia, Dr. Gumede has successfully supervised one master’s thesis to completion and is currently guiding nine additional master’s students, demonstrating her dedication to mentoring the next generation of healthcare professionals. Her expertise spans radiography education, healthcare inequities, and the integration of traditional and allopathic medicine. As a lecturer, she combines rigorous research with impactful teaching, ensuring her students receive a well-rounded and practical education.

Research Interest

Dr. Gumede’s research interests focus on radiography education, the interplay between traditional and allopathic medicine, and health inequities in the South African context. She is particularly invested in exploring the experiences of healthcare practitioners and patients, emphasizing the importance of effective communication and disclosure in improving patient care. Her work often employs both qualitative and quantitative methodologies to provide a comprehensive understanding of these critical issues.

Awards

Dr. Gumede has been recognized for her contributions to healthcare education and research through various nominations and accolades. Her work has not only garnered respect among her peers but also highlighted her commitment to addressing critical issues within the South African healthcare system.

Selected Publications

“Diagnostic radiographers’ experiences with paediatric patients during radiography examinations in Malawi – A qualitative study”

    • Authors: P. Manda, L. Gumede, C. Kammies, L. Mokoena
    • Year: 2025
    • Citations: None listed

“Exploring diagnostic radiography students’ experiences of transitioning from online to face-to-face teaching and learning, Johannesburg, South Africa”

    • Authors: L. Gumede, L. Hazell, S. Lewis
    • Year: 2025
    • Citations: None listed

“Diagnostic radiography clinical resources in a workplace-based learning setting”

    • Authors: Z. Dlamini, L. Gumede, LJ. Hazell
    • Year: 2024
    • Citations: None listed

“Medical imaging and radiation science students’ use of artificial intelligence for learning and assessment”

    • Authors: S. Lewis, F. Bhyat, Y. Casmod, A. Gani, L. Gumede, A. Hajat, L. Hazell, C. Kammies, T.B. Mahlaola, L. Mokoena et al.
    • Year: 2024
    • Citations: None listed

“Allopathic Medicine Practitioners’ perspectives on facilitating disclosure of traditional medicine use in Gauteng, South Africa: a qualitative study”

    • Authors: Lindiwe Gumede, Pauline B. Nkosi, Maureen N. Sibiya
    • Year: 2023
    • Citations: None listed

“Online teaching and learning through the students’ eyes – Uncertainty through the COVID-19 lockdown: A qualitative case study in Gauteng province, South Africa”

    • Authors: Lindiwe Gumede
    • Year: 2022
    • Citations: 46

“CT in an Emergency Setting”

    • Authors: Lindiwe Gumede, Nicole Badriparsad
    • Year: 2023
    • Citations: None listed

“Structuring an improved work environment for radiographers with work-related stress. Findings from a case study in Gauteng province, South Africa”

    • Authors: Lindiwe Gumede
    • Year: 2019
    • Citations: None listed

“Effects of Work-Related Stress on Radiographers in a Public Hospital in Gauteng Province” (Journal article)

    • Authors: Lindiwe Gumede
    • Year: 2018
    • Citations: None listed

“Effects of Work-Related Stress on Radiographers in a Public Hospital in Gauteng Province” (Conference abstract)

    • Authors: Lindiwe Gumede
    • Year: 2017
    • Citations: None listed

Conclusion

Dr. L. Gumede is a distinguished academic and researcher whose work bridges the gap between traditional and modern medicine, emphasizing healthcare equity and the significance of education. Through her teaching, mentorship, and research, she continues to make a lasting impact on the field of medical imaging and the broader healthcare sector in South Africa. Her commitment to addressing pressing healthcare challenges exemplifies her role as a leader and innovator in her field.

Erasmia Angelaki | Accounting Management | Best Researcher Award

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Mrs. Erasmia Angelaki | Accounting Management | Best Researcher Award

Postgraduate student | Hellenic Mediterranean University | Greece

Erasmia I. Angelaki is a dedicated professional specializing in business administration, hospitality, and tourism management. With a solid academic foundation and progressive work experience, she has delved into diverse roles such as research, project management, and public engagement. Erasmia has been an active contributor to the Hellenic Mediterranean University (HMU) Orama Lab, where she focuses on innovative research and practical applications in hospitality and sustainability. Her work bridges the academic, professional, and community domains, emphasizing the integration of environmental, social, and governance (ESG) frameworks into contemporary business practices.

Profile

Google Scholar

Education

Erasmia holds a Bachelor’s degree in Business Administration and Tourism from the Hellenic Mediterranean University (2016–2022). Her undergraduate dissertation explored waste management perceptions among Heraklion residents, demonstrating her commitment to environmental sustainability. Currently, she is pursuing a Master’s in Business Administration with a focus on Hospitality and Tourism. Her postgraduate thesis investigates ESG indicators within the Balanced Scorecard framework, reflecting her interest in sustainable business strategies and green growth methodologies.

Work Experience

Erasmia’s professional journey includes practical and research-oriented roles that showcase her adaptability and expertise. She served as a receptionist at Aqua Sun Hotel, gaining firsthand experience in customer service and hospitality operations. As part of her internship at the Entrepreneurship & Tourism Laboratory, she honed her analytical and project management skills. Her current role at the HMU Orama Lab involves contributing to innovative research projects, particularly those related to strategic planning and the impact of digital transformation on sustainability initiatives.

Research Interests

Erasmia’s research interests lie at the intersection of digital transformation, sustainability, and business strategy. She is particularly focused on ESG integration into corporate frameworks and its implications for green entrepreneurship. Her bibliometric studies delve into the evolving landscape of sustainability in SMEs and the role of green computing in enhancing organizational efficiency. Erasmia’s academic pursuits aim to provide actionable insights for both public and private sectors.

Awards and Recognitions

Erasmia has received several certifications that underscore her commitment to professional excellence. She is a certified Softone ERP Consultant and PowerPoint, Word, and Excel specialist, showcasing her technical proficiency. Her dedication to continuous learning is evident from her participation in various high-profile seminars and training sessions, including Google’s Digital Skills initiative and multiple investment education programs. These accolades reflect her proactive approach to professional development and her ability to adapt to evolving industry standards.

Publications

Erasmia has co-authored a range of impactful publications and conference papers. Key contributions include:

Digital Transformation in SMEs: Pre and Post-Covid-19 Era: A Comparative Bibliometric Analysis (2024). Published in Sustainability, this Q1-ranked paper examines how SMEs adapted to digitalization challenges during the pandemic.

Strategic Planning & Effectiveness in Public Sectors (2023). Presented at the 3rd International Scientific Conference, this study highlights pilot implementations of strategic models in Crete’s municipalities.

Evaluating the Effect of Digital Transformation on Green Entrepreneurship and Green Accounting (2024). Delivered at the 12th International Conference on Contemporary Marketing Issues, it explores the bibliometric impacts of digitalization on environmental sustainability.

The Green Equation: How ESG and Green Computing May Boost the Triple Bottom Line (2024). This paper emphasizes the synergy between ESG practices and corporate sustainability.

Her publications have been cited in articles addressing the interplay between sustainability and digital transformation, underscoring her contributions to academia.

Conclusion

Erasmia I. Angelaki exemplifies a blend of academic rigor, professional acumen, and a commitment to sustainability. Her focus on ESG frameworks, digital transformation, and green entrepreneurship positions her as a forward-thinking professional dedicated to impactful research and innovation. As she continues to advance in her career, her work promises to contribute meaningfully to the fields of business administration, tourism, and sustainability.

Rajan Bhatt | Artificial Intelligence | Excellence Award (Any Scientific field)

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Dr. Rajan Bhatt | Artificial Intelligence | Excellence Award (Any Scientific field)

Associate Professor| Punjab Agricultural University, Ludhiana | India

Dr. Rajan Bhatt is a Senior Soil Scientist at PAU-Krishi Vigyan Kendra, Amritsar, Punjab, India. With extensive expertise in soil physics, water management, and sustainable agriculture, he has dedicated over two decades to advancing soil science research. His contributions include innovative techniques for soil moisture management, resource conservation, and the application of artificial intelligence in agriculture. Recognized globally for his work, Dr. Bhatt has received numerous prestigious awards, reflecting his commitment to scientific excellence and rural development.

Profile

Scopus

Education

Dr. Bhatt holds a Ph.D. in Soil Science (2015) from Punjab Agricultural University, Ludhiana, with distinction, focusing on soil physics and water management. His academic journey began with a B.Sc. in Agriculture (2000) from Guru Nanak Dev University, followed by an M.Sc. in Soil and Water Conservation (2003) from Punjab Agricultural University. Throughout his education, he consistently ranked among the top performers, showcasing his passion and dedication to agricultural sciences.

Experience

Currently an Associate Professor in Soil Science, Dr. Bhatt has been instrumental in implementing resource conservation technologies at PAU-Krishi Vigyan Kendra. With a career spanning over two decades, he has actively contributed to improving land and water productivity, addressing climate-smart agricultural practices, and mentoring young scientists. His collaborations with national and international organizations have further amplified the impact of his work in soil and water conservation.

Research Interests

Dr. Bhatt’s research focuses on sustainable agriculture, soil moisture dynamics, resource conservation technologies, and artificial intelligence in farming. His groundbreaking studies on the rice-wheat cropping system and integrated farming models have provided innovative solutions for mitigating climate change effects. He is also interested in exploring the role of silicon in combating plant biotic stress and enhancing soil health for long-term agricultural productivity.

Awards

Dr. Bhatt has been honored with numerous accolades, including the Best Researcher Award (2021), Young Scientist Award (2016, 2017, 2019), and the Springer PAWEES Best Paper Award (2022). These awards recognize his contributions to soil science and sustainable agriculture, underscoring his global reputation as a thought leader. His efforts have consistently bridged the gap between research innovation and practical application in farming.

Publications

Prospects of Artificial Intelligence for the Sustainability of Sugarcane Production in the Modern Era of Climate Change: An Overview of Related Global Findings

  • Authors: Bhatt, R.; Hossain, A.; Majumder, D.; Brestic, M.; Maitra, S.
  • Publication Year: 2024
  • Citations: 0

Management of Yield Losses in Vigna radiata (L.) R. Wilczek Crop Caused by Charcoal-Rot Disease Through Synergistic Application of Biochar and Zinc Oxide Nanoparticles as Boosting Fertilizers and Nanofungicides

  • Authors: Mazhar, M.W.; Ishtiaq, M.; Maqbool, M.; Siddiqui, M.H.; Bhatt, R.
  • Publication Year: 2024
  • Citations: 1

Designing a Productive, Profitable Integrated Farming System Model With Low Water Footprints for Small and Marginal Farmers of Telangana

  • Authors: Karthik, R.; Ramana, M.V.; Kumari, C.P.; Elhindi, K.M.; Mattar, M.A.
  • Publication Year: 2024
  • Citations: 0

Long-Term Application of Agronomic Management Strategies Effects on Soil Organic Carbon, Energy Budgeting, and Carbon Footprint Under Rice–Wheat Cropping System

  • Authors: Naresh, R.K.; Singh, P.K.; Bhatt, R.; Al-Ansari, N.; Mattar, M.A.
  • Publication Year: 2024
  • Citations: 2

Application of Different Organic Amendments Influences the Different Forms of Sulfur in the Soil of Pea–Onion–Cauliflower Cropping System

  • Authors: Paul, S.C.; Bharti, R.; Lata, S.; Bhatt, R.; Siddiqui, M.H.
  • Publication Year: 2024
  • Citations: 0

Revealing the Hidden World of Soil Microbes: Metagenomic Insights Into Plant, Bacteria, and Fungi Interactions for Sustainable Agriculture and Ecosystem Restoration

  • Authors: Jagadesh, M.; Dash, M.; Kumari, A.; Bhatt, R.; Sharma, S.K.
  • Publication Year: 2024
  • Citations: 7

Soil Qualities and Crop Responses Are Influenced by Biochar: A Meta-Analysis Review

  • Authors: Bhatt, R.; Rajput, V.D.; Chandra, M.S.; Garg, A.K.; Verma, K.K.
  • Publication Year: 2024
  • Citations: 0

Optimizing Nutrient and Energy Efficiency in a Direct-Seeded Rice Production System: A Northwestern Punjab Case Study

  • Authors: Kaur, R.; Chhina, G.S.; Kaur, M.; Elhindi, K.M.; Mattar, M.A.
  • Publication Year: 2024
  • Citations: 1

Potassium and Jasmonic Acid—Induced Nitrogen and Sulfur Metabolisms Improve Resilience Against Arsenate Toxicity in Tomato Seedlings

  • Authors: Siddiqui, M.H.; Mukherjee, S.; Gupta, R.K.; Bhatt, R.; Kesawat, M.S.
  • Publication Year: 2024
  • Citations: 3

Conclusion

Dr. Rajan Bhatt’s illustrious career exemplifies the integration of innovative research and practical solutions in soil science. His work has made significant strides in addressing the challenges of sustainable agriculture and climate change. As a mentor, researcher, and leader, Dr. Bhatt continues to inspire advancements in agricultural practices for global food security and environmental sustainability.

Oluwafemi Odunsi | Remote Sensing | Best Researcher Award

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Oluwafemi Odunsi | Remote Sensing | Best Researcher Award

Dr. Oluwafemi Odunsi, Research Fellow, Germany.

Dr. Oluwafemi Odunsi appears to be a highly qualified candidate for a “Best Researcher Award” based on his extensive academic, research, and professional contributions. Below are key highlights that support his suitability

Profiles

ORCID

Google Scholar

🎓 Academic Background

  • Ph.D.: Urban and Regional Planning, Obafemi Awolowo University, Nigeria (2020)
  • M.Sc.: Urban and Regional Planning, Obafemi Awolowo University, Nigeria (2016)
  • B.Sc.: Urban and Regional Planning, Ladoke Akintola University of Technology, Nigeria (2010)

🏆 Key Achievements

  • Alexander von Humboldt Postdoctoral Fellowship: Germany (2023)
  • Santa Fe Institute Complexity Interactive (SFI-CI) Scholarship: USA (2023)
  • CARTA-ITSRETO Fellow: Strengthening research training across Africa
  • Published 35+ scholarly articles in renowned local and international journals

🛠️ Skills and Expertise

  • Proficient in: Geographic Information Systems (GIS), Remote Sensing (RS), CAD, BIM, Statistical Analysis
  • Programming Knowledge: Python, JavaScript, R (Basic)
  • Research Focus: Urban growth modeling, disaster risk management, and ecosystem interactions

📚 Research Interests

  • Urban Growth Challenges: Exploring agent-based modeling for secondary cities in Nigeria
  • Environmental Sustainability: Mitigating urban development impacts on ecosystems
  • Disaster Resilience: Understanding household strategies to combat flood disasters

🏛️ Professional Memberships

  • Member, Town Planners Registration Council of Nigeria (TOPREC)
  • Member, Association of Polar Early Career Scientists (APECS)

📖 Publications

  • 📘 Environmental Awareness
    Daramola, O. and Odunsi, O. (2016).
    Assessing students’ awareness of environmental hazards and risks in public tertiary educational institutions in Oyo State, Nigeria.
    Economic and Environmental Studies (E & ES), 16(4): 655-672.
  • 📘 Poverty Alleviation
    Odunola, O. and Odunsi, O. (2017).
    Contributions of Community Based Organisations to Poverty Alleviation in Oyo State, Nigeria.
    Economic and Environmental Studies, 17(2): 185-203. DOI: 10.25167/ees.2017.42.3
  • 📘 Disaster Management Literacy
    Daramola, O., Odunsi, O. and Olowoporoku, O. (2017).
    The corridor to survival: Assessment of disaster management literacy in a developing country.
    Environmental Quality Management, 27(2): 15-24. DOI: 10.1002/tqem.21525
  • 📘 Market Sanitation Behaviour
    Daramola, O., Olowoporoku, O., and Odunsi O. (2017).
    Assessment of Environmental Sanitation Behaviour of Market Traders in Selected Markets in Ibadan, Nigeria.
    Advances in Environmental Research, 6(3), 231-242. DOI: 10.12989/aer.2017.6.3.231
  • 📘 Medical Tourism
    Agbabiaka, H., Omisore, E., and Odunsi, O. (2017).
    Medical Tourism in Nigeria: A Multivariate Analysis of Challenges Faced by Patrons.
    International Journal of Tourism Cities, 3(4), 399-349. DOI: 10.1108/IJTC-12-2016-0053
  • 📘 Environmental Hazards in Schools
    Daramola, O. and Odunsi, O. (2017).
    Determinants of Students Perceived Manmade Environmental Hazards and Risks in Tertiary Educational Institutions.
    Global Journal of Environmental Science and Management, 3(1), 1-8. DOI: 10.22034/gjesm.2017.03.01.00
  • 📘 Hostel Sanitation Hazards
    Odunsi, O., Daramola, O., Agbabiaka, H., Olowoporoku, O., and Awodele D. (2018).
    Coping with sanitary hazards in hostels: The influence of students’ socioeconomic variability.
    Environmental & Socio-economic Studies, 6(2): 56-69. DOI: 10.2478/environ-2018-0015
  • 📘 Solid Waste Disposal Practices
    Onanuga, M. Y. and Odunsi, O. (2018).
    Health is wealth: Concern for households’ solid waste self-disposal practices.
    Environmental Quality Management, 27(14), 1-9. DOI: 10.1002/tqem.21556
  • 📘 Climate Change & Child Health
    Odunola, O., Odunsi, O., and Daramola, O. (2018).
    Climate change evidence and effects of climate-related diseases on children’s health.
    Environmental Quality Management, 28(1), 1-9. DOI: 10.1002/tqem.21571
  • 📘 Community Participation in Development
    Odunola, O., Odunsi, O., Awodele, D., and Diriyah, B. (2018).
    Community-based organizations’ development-oriented activities: assessing participatory bottlenecks and measuring households’ willingness using Arnstein’s ladder of citizen participation.
    Economic and Environmental Studies, 18(4): 1309-1333. DOI: 10.25167/ees.2018.48.8

 

Balaji Dhamodharan | AI Expert | Lifetime achievement Award

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Mr Balaji Dhamodharan | AI Expert | Lifetime achievement Award

Global Data Science Leader at  NXP Semiconductors,  United States

Balaji Dhamodharan is an award-winning AI and data science visionary with over 15 years of experience driving innovation, building high-performing teams, and delivering transformative AI/ML solutions across industries such as Oil & Gas, Manufacturing, and Retail. Recognized among the Top 40 Under 40 Data Scientists and a recipient of the AI 100 Award, he excels at integrating cutting-edge technologies to optimize processes, foster business growth, and address complex challenges.

Profile:

Leadership & Impact:

  • Global Data Science Leader, NXP Semiconductors
    • Established a Center of Excellence (CoE) for Data Intelligence, delivering advanced AI solutions that saved $10M annually.
    • Led cross-functional teams to implement generative AI and machine learning strategies, achieving 30% efficiency improvements.
    • Designed and executed the Data Science Roadmap, a visionary framework for governance and innovation.
  • Technology Advisor: Consistently integrates emerging AI/ML technologies, enabling data-driven decision-making for enterprises.
  • Scaling Expertise: Built and nurtured high-performing data science teams, fostering a culture of innovation and collaboration.

Key Technical Skills:

  • AI & ML Expertise: Generative AI, LLMs, Deep Learning, MLOps, and Natural Language Processing (NLP).
  • Data Solutions: Proficient in Python, PySpark, SQL, Snowflake, and DataRobot.
  • Visualization & Cloud: Tableau, Power BI, AWS, Azure, and Databricks.

Professional Timeline:

  • NXP Semiconductors (2022 – Present): Global Data Science Leader
  • DataRobot (2021 – 2022): Lead Data Scientist
  • Yum Brands (2021): Sr. Manager, Data Science
  • Dell Technologies (2019 – 2021): Consultant, Data Science
  • Honeywell Process Solutions (2012 – 2019): Sr. Data Scientist

Accomplishments:

  • Co-inventor of a patent-pending NLP-based contract analysis algorithm.
  • Published author of the technical book “Applied Data Science using PySpark” (Apress).
  • Editorial Board Member for leading AI journals.
  • Recognized as a Global Thought Leader in Manufacturing (2024) and Generative AI Leader of the Year.
  • Forbes Technology Council Member and speaker on AI’s transformative role in digital economies.

Thought Leadership & Advocacy

  • Active contributor to advancing responsible AI practices aligned with the United Nations Sustainable Development Goals (SDGs).
  • Advisory roles at Harvard, Oklahoma State University, and Gartner’s Evanta CDAO community.
  • Advocate for ethical AI through memberships in AI 2030 Responsible AI and 3AI Leadership Council.

Publication Top Notes:

  1. Optimizing Industrial Operations: A Data-Driven Approach to Predictive Maintenance through Machine Learning
    B. Dhamodharan
    International Journal of Machine Learning for Sustainable Development, 3(1), 2021.
  2. Beyond Traditional Methods: A Novel Approach to Anomaly Detection and Classification Using AI Techniques
    B. Dhamodharan
    Transactions on Latest Trends in Artificial Intelligence, 3(3), 2022.
  3. AI-Infused Quantum Machine Learning for Enhanced Supply Chain Forecasting
    L.M. Gutta, B. Dhamodharan, P.K. Dutta, P. Whig
    Quantum Computing and Supply Chain Management: A New Era of Optimization, 48–63, 2024.
  4. Empowering Enterprise Intelligence: The Transformative Influence of AutoML and Feature Engineering
    B. Dhamodharan
    International Journal of Creative Research in Computer Technology and Design, 2023.
  5. Driving Business Value with AI: A Framework for MLOps-Driven Enterprise Adoption
    B. Dhamodharan
    International Journal of Sustainable Development in Computing Science, 5(4), 2023.
  6. Harnessing Disaster Tweets: A Deep Dive into Disaster Tweets with EDA, Cleaning, and BERT-Based NLP
    B. Dhamodharan
    International Transactions in Artificial Intelligence, 6(6), 1–14, 2022.
  7. Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle
    R. Kakarla, S. Krishnan, V. Gunnu, B. Dhamodharan
    Apress, 2024.
  8. Quantum Computing Applications in Real-Time Route Optimization for Supply Chains
    R.K. Vaddy, B. Dhamodharan, A. Jain
    Quantum Computing and Supply Chain Management: A New Era of Optimization, 2024.
  9. Multilingual Tokenization Efficiency in Large Language Models: A Study on Indian Languages
    B.D. Mohamed Azharudeen M
    Lattice – The Machine Learning Journal, 5(2), 2024.