Kamal Sharma | Civil Engineering | Best Researcher Award

Published on by AI Data Scientist

Dr. Kamal Sharma | Civil Engineering | Best Researcher Award

Director at Lord-Tech Datus Solutions Pvt. Ltd., India

Dr. Kamal Sharma is an accomplished researcher in the field of civil engineering with a focus on construction project optimization. With a strong academic foundation and four years of research experience, his contributions blend advanced optimization algorithms with sustainable construction management strategies. He is recognized for integrating AI/ML methods into civil engineering solutions and publishing high-impact research in reputed journals.

🎓 Profile

Scopus

ORCID

🏆 Best Researcher Award

Dr. Kamal Sharma is highly suitable for the “Best Researcher Award” due to his consistent academic excellence, deep focus on applied research in civil and construction engineering, and his contributions to global sustainable development goals through advanced optimization models. His dedication, innovation, and impactful research make him a deserving candidate.

📚 Education

Dr. Sharma earned his Ph.D. in Construction Technology and Management from MITS, Gwalior (2024), where he developed a robust scheduling model using metaheuristic approaches. He previously completed his M.Tech (2019) in the same field and a B.Tech (2017) in Civil Engineering, building a solid academic and technical base for his research career.

🧑‍🔬 Experience

He has accumulated four years of dedicated research experience at MITS, Gwalior, where he served as a research scholar and teaching assistant. His teaching portfolio includes subjects like Project Management, Optimization Algorithms, and Multi-Criteria Decision Methods, reflecting his commitment to academic excellence.

🔬 Research Interest

Dr. Sharma’s research interests lie in construction project optimization, time-cost-quality trade-off models, and sustainable infrastructure planning. His work integrates AI-based models such as NSGA-III, AHP, and MOPSO for decision-making in construction management, aligning with sustainable development goals.

📄 Publication

He has authored over 15 journal articles, including three SCI and ten SCOPUS-indexed papers. His research spans multi-objective optimization in construction projects, environmental sustainability, and smart healthcare systems. His h-index is 11 with over 500 citations, demonstrating his impactful contributions.

  • 2025 – “Investigating the impact of smart healthcare technologies on patient care using SEM-ANN,” Discov Public Health.

  • 2024 – “Optimizing construction time, cost, and quality using AHP-NSGA-III,” Asian J Civil Eng.

  • 2023 – “Statistical Analysis of Delay-Causing Factors in Highway Projects,” Transportation Research Record.

  • 2021 – “Multi-Objective Scheduling Model using NSGA III,” Journal of The Institution of Engineers (India): Series A.

  • 2020 – “NSGA-III model for time-cost-quality-safety trade-off,” International Journal of Construction Management.

Haiqiang Ma | Quantum Information | Best Researcher Award

Published on by AI Data Scientist

Prof. Dr. Haiqiang Ma | Quantum Information | Best Researcher Award

Beijing University of Posts and Telecommunications, China

Professor Haiqiang Ma is a distinguished academic and researcher, serving as a professor and doctoral supervisor in the field of quantum science. He is a prominent member of the “Quantum Information and Quantum Optics” research group and has been contributing to scientific innovation and teaching at the School of Physical Science and Technology, Beijing University of Posts and Telecommunications since 2007.

🧑‍🔬  Profile

Scopus

🏆 Best Researcher Award

With an outstanding record in quantum research, significant international publications, and contributions to technological innovation including 10 invention patents (8 granted), Professor Haiqiang Ma is highly suitable for the Best Researcher Award. His sustained academic excellence and scientific leadership make him a deserving candidate.

🎓 Education

Professor Ma earned his doctorate in March 2007 from the prestigious Institute of Physics, Chinese Academy of Sciences. His academic foundation is rooted in rigorous research training and theoretical depth in physics and quantum optics.

💼 Experience

With over 17 years of academic experience, Professor Ma has held a long-term faculty position and briefly visited the University of Waterloo in Canada (Dec 2019–Mar 2020). His teaching, mentoring, and research supervision reflect his commitment to the development of future scientists and the global academic community.

🔬 Research Interest

His research primarily revolves around quantum information science, quantum optics, and photonic systems. His work contributes to the foundational and applied aspects of quantum communication and computation.

📚 Publication

Professor Ma has authored more than 100 peer-reviewed SCI papers in top-tier international journals, including Optica, Physical Review A, Optics Express, Optics Letters, Journal of the Optical Society of America B, and Applied Optics.
📝 publication:

“Bright Heralded Single-Photon Source Saturating Theoretical Single-photon Purity”

“Reference-Frame-Independent Asynchronous Measurement-Device-Independent Quantum Key Distribution”

“Finite-key interfering-or-not-interfering quantum key distribution without intensity modulation”

Milad Shemshaki | Google Ads | Best Academic Researcher Award

Published on by AI Data Scientist

Mr. Milad Shemshaki | Google Ads | Best Academic Researcher Award

Graduate at University of East London, United Kingdom

Milad Shemshaki is a senior business administration professional with more than 9 years of leadership experience across diverse sectors, including marketing, project management, and strategic planning. He has a particular passion for integrating artificial intelligence with business innovation, offering transformative solutions in digital marketing and market behavior analytics. His profile balances academic rigor and practical insight, making him a standout figure in applied business research.

👤 Profile

Google Scholar

🎯 Best Academic Researcher Award

Milad Shemshaki demonstrates a strong academic foundation in Business Administration with a clear research trajectory that aligns with the evolving demands of academia and industry. His interdisciplinary expertise in marketing, artificial intelligence, consumer behavior, and business strategy uniquely positions him as a top contender for the “Best Academic Researcher Award.” His innovative mindset, academic publication record, and commitment to applying data-driven insights reflect outstanding merit in the academic domain.

🎓 Education

Milad holds a Master’s in Business Administration from the University of East London (2024), demonstrating advanced training in business analytics and strategic marketing. He also earned a Bachelor’s degree in Airport Rescue and Fire Fighting from the University of Science and Technology of Tehran (2019), and a Bachelor’s in Business Administration from Islamic Azad University Tehran Central Branch (2013). This diverse educational journey underpins his holistic approach to business problem-solving.

💼 Experience

Milad has held multiple high-impact roles at Fargol Company, including Campaign Manager, Strategy & Marketing Manager, Financial Manager, and Head of Market Research. In each role, he applied data analytics and strategic planning to optimize operations, enhance engagement, and drive measurable growth. His tenure as Human Resources Manager at the Iran Red Crescent further highlights his interpersonal and organizational leadership capabilities.

🔬 Research Interest

Milad’s core research interests include AI applications in marketing, data mining in consumer behavior, ethical implications of AI in personalization, and business process re-engineering. His work often focuses on the intersection of digital transformation and consumer-centric marketing, exploring how data-driven strategies can reshape business models and enhance customer experience.

📚 Publication

Milad Shemshaki has contributed multiple peer-reviewed journal articles across domains such as digital marketing, AI ethics, and data intelligence. Below are his key publications:

  • 2024 – The Relationship Between Campaign Quality and Performance in Google Ads: A Systematic Review – Journal of Marketing Analytic

  • 2024 – Exploring the Ethical Implications of AI-Powered Personalization in Digital Marketing – Journal of Data Intelligence

  • 2024 – Investigating the Effect of the Mediating Role of Process Re-engineering and Total Quality Management on the Business Value of Information Technology – Journal of Power System and Technology

  • 2024 – Examining Factors Affecting Consumer Behaviour by Considering the Role of Personality and Behavioural Characteristics – Journal of Power System and Technology

  • 2024 – Application of Data Mining Technique for Customer Purchase Behavior via Extended RFM Model with Focus on BCG Matrix from a Data Set of Online Retailing – Journal of Infrastructure, Policy and Development

He has also authored two books:
📘 Data-Driven Digital Marketing: The Art and Science of Intelligent Decision-Making (ISBN: 978-622-380-700-8)
📗 The Benefits of Using Artificial Intelligence for Business Success (ISBN: 978-622-380-663-6)

Dimitrios Spanos | Trustworthy AI | Best Researcher Award

Published on by AI Data Scientist

Mr. Dimitrios Spanos | Trustworthy AI | Best Researcher Award

PhD Student at Aristotle University of Thessaloniki, Greece

A passionate and forward-thinking AI researcher, he has steadily built a solid foundation in trustworthy intelligent systems through rigorous academic training and dynamic research involvement. With hands-on project experience across several EU-funded research initiatives, his focus remains on socially responsible and high-impact technological advancement. 🌍🤖

👤 Profile

ORCID

✅ Best Researcher Award

Dimitrios Spanos stands out as a highly promising academic researcher whose contributions to deep learning, trustworthy AI systems, and uncertainty estimation demonstrate a remarkable depth of understanding and originality. His consistent engagement with advanced AI methodologies and commitment to scientific impact make him a deserving nominee for the Best Researcher Award. 🏆

🎓 Education

He is currently pursuing a Ph.D. in Computer Science at the Aristotle University of Thessaloniki, specializing in Deep Learning Methodologies for Trustworthy Intelligent Systems. He previously earned a Master of Engineering in Electrical & Computer Engineering from the same institution with a strong academic record and a thesis in multi-view semi-supervised learning for image classification. 🎓📘

💼 Experience

He has held multiple research roles at the Artificial Intelligence & Information Analysis Lab, engaging in significant projects such as DeepLET, OpenDR, DeepFinance, and AMBROSIA, which deal with lightweight AI, autonomous perception, multimodal portfolio management, and biomedical fairness, respectively. Additionally, he gained early R&D experience through an internship at CERTH–ITI working on biometric detection systems. 🔬📊

🔬 Research Interest

His core research interests revolve around deep learning, uncertainty estimation, multimodal fusion, photonic neural networks, and trustworthy AI. He focuses on bridging the gap between advanced computational intelligence and real-world societal challenges, such as biomedical fairness and financial decision systems. ⚙️🧠💡

📝 Publication

Journal Article (2025):
D. Spanos, N. Passalis, A. Tefas — “Leveraging Subclass Learning for Improving Uncertainty Estimation in Deep Learning” — Neurocomputing, 2025

Conference Papers (2025):

  1. D. Spanos, N. Passalis, A. Tefas — “Reliable Uncertainty Estimation in Autonomous Systems via Feature Collapse Mitigation” — 8th IEEE ICPS, 2025

  2. D. Spanos et al. — “Sepsis Detection Exploiting Biomarker Analysis with Deep Neural Networks” — 8th IEEE ICPS, 2025

📚 His publications reflect an emphasis on reliable and responsible AI, combining theoretical innovation with domain application.

🏅 Honors & Awards

He was awarded a prestigious scholarship from the Hellenic Foundation for Research & Innovation (H.F.R.I.) in 2023, recognizing the value and future potential of his research in artificial intelligence and computational science. 🥇🎖️

📌 Conclusion

In light of his focused research trajectory, impactful publications, dedication to academic mentoring, and contributions to cutting-edge AI applications, Dimitrios Spanos exemplifies the qualities of an outstanding academic researcher. His record speaks of innovation, commitment, and the capability to lead transformative changes in science and society. 🌟📈

Nidha Shapoo | Digital Health | Best Academic Researcher Award

Published on by AI Data Scientist

Dr. Nidha Shapoo | Digital Health | Best Academic Researcher Award

Resident Physician at New York Medical College/Metropolitan Hospital, United States

Dr. Nidha Shapoo is a highly accomplished physician-researcher with a proven track record in oncology and internal medicine. Having served in diverse healthcare systems including India, UAE, Saudi Arabia, and the USA, she brings a global perspective to patient care and academic research. Her clinical and academic journey is driven by a passion for evidence-based medicine, multidisciplinary collaboration, and scholarly output.

👩‍⚕️ Profile

Scopus

ORCID

Google Scholar

✅ Best Academic Researcher Award

Dr. Nidha Shapoo emerges as an exceptional candidate for the Best Academic Researcher Award, given her outstanding contributions to the fields of hematology-oncology and internal medicine across multiple countries. Her extensive clinical background, academic excellence, and prolific publication record make her highly deserving of this recognition. With active roles in research, mentoring, quality improvement, and editorial work, she upholds the spirit of academic advancement and medical innovation.

🎓 Education

Her academic pathway includes an MBBS and MD in Internal Medicine from the University of Jammu, a DM in Hematology-Oncology from the prestigious All India Institute of Medical Sciences (AIIMS), and a Specialty Certificate in Medical Oncology from the Federation of the Royal College of Physicians (UK). She is currently completing her Internal Medicine residency at New York Medical College/Metropolitan Hospital, USA.

🩺 Experience

Dr. Shapoo has accumulated rich professional experience as a hematology-oncology consultant in India, UAE, and Saudi Arabia. Her current role as a resident physician in internal medicine in the USA showcases her ongoing commitment to clinical excellence and academic growth. She has also mentored junior doctors, presented at conferences, and led complex oncology cases through tumor boards and multidisciplinary teams.

🔬 Research Interest

Her research interests span a wide spectrum of oncology and internal medicine domains, including hematologic malignancies, solid tumors, supportive care, digital health, and patient safety. She is particularly noted for her work on soft tissue sarcomas, coagulopathy in cancer, health equity, and interdisciplinary management of complex cases. Her focus on evidence-based care aligns perfectly with the goals of academic medicine.

📚 Publications

Dr. Shapoo has published over 30 peer-reviewed articles in respected journals, many of which are indexed in PubMed and Google Scholar. She has co-authored high-impact studies, clinical trials, and case reports, contributing significantly to both theoretical and applied aspects of oncology. Her HER2 review article alone has received over 1500 citations.

📝 Selected Publications:

  1. Solid Tumors, Liquid Challenges – Hematology Reports, 2025

  2. Smart Healthcare – Healthcare Science, 2025

  3. Lost in the Mix: Myxedema Coma – J Clin Images Med Case Rep, 2025

  4. Resistance in Prostate Cancer – J Clin Trials, 2024

  5. Navigating Cancer Journeys – J Clin Exp Oncol, 2024

  6. Red Cell Distribution Width in Hematologic Disorders – Am J Biomed Sci & Res, 2024

  7. Oncologists – Bearers of News – Indian Journal of Cancer, 2024

  8. Human Epidermal Growth Factor Receptor 2 (HER2) – Mol Biol Int, 2014

  9. Imatinib in Cancer Therapy – Chemother Res Pract, 2014

  10. Prognostic Factors in Soft Tissue Sarcoma – Clin Transl Oncol, 2016

🏁 Conclusion

Dr. Nidha Shapoo’s unwavering dedication to medical research, her global clinical experience, and her prolific contributions to oncology literature distinctly position her as a front-runner for the Best Academic Researcher Award. Her scholarly depth, collaborative spirit, and continuous pursuit of medical excellence exemplify the ideals this award seeks to honor.

Dongfang Zhao | Fault Diagnosis | Best Researcher Award

Published on by AI Data Scientist

Dr. Dongfang Zhao | Fault Diagnosis | Best Researcher Award

Lecturer at Shanghai Polytechnic University, China

Dr. Dongfang Zhao is currently serving as a lecturer and master’s supervisor at Shanghai Polytechnic University. He embarked on his research journey in artificial intelligence and mechanical fault diagnosis in 2014. Earning his Ph.D. from Shanghai University in 2021, he immediately pursued postdoctoral research at the Control Science and Engineering Research Station. His doctoral dissertation was distinguished with a nomination for the National Outstanding Doctoral Dissertation Award in the field of measurement control and instrumentation.

👨‍🔬 Profile

ORCID

🏆 Suitable for “Best Researcher Award”

Dr. Dongfang Zhao demonstrates exceptional merit for the Best Researcher Award through his impactful contributions in artificial intelligence and mechanical fault diagnosis. With a rapidly evolving research profile, he has delivered high-quality publications, led prestigious projects, and developed novel AI diagnostic frameworks. His work significantly advances diagnostic accuracy and robustness in complex environments, positioning him as a leading voice in his field.

🎓 Education

Dr. Zhao obtained his Ph.D. from Shanghai University in 2021. His academic journey reflects a deep and continuous commitment to advanced research in AI applications for engineering diagnostics. His dissertation stood out nationally in the field, affirming both the quality and relevance of his academic training.

💼 Experience

Dr. Zhao has built a strong professional trajectory by joining leading research stations and universities in China. Since October 2024, he has held the position of lecturer at Shanghai Polytechnic University. His prior engagement as a postdoctoral researcher at Shanghai University significantly contributed to national-level research projects, and he continues to mentor students and lead research as a master’s supervisor.

🔬 Research Interest

Dr. Zhao’s research spans Artificial Intelligence, Mechanical Fault Diagnosis, and Control Engineering. His work targets real-world engineering problems, especially fault detection under variable operational conditions. He introduced networks like DRANet, DBANet, and SCANet, each addressing specific challenges such as strong noise environments, variable speeds, and unlabeled data — critical innovations in industrial AI.

📚 Publications

Dr. Zhao has published more than 20 high-quality SCI/EI papers, with over 10 as first or corresponding author. His research appears in reputed journals like Advanced Engineering Informatics, Computers and Electronics in Agriculture, and IEEE Journals, and his work has received nearly 500 citations globally, reflecting its influence.

Notable Published Journals (with Year):

  • Zhao, D. (2021). “AI-based DRANet for Noisy Fault Detection.” Advanced Engineering Informatics

  • Zhao, D. (2022). “Extreme Multi-Scale Entropy-Based Fault Diagnosis.” IEEE Transactions on Instrumentation and Measurement

  • Zhao, D. (2023). “SCANet: Unlabeled Fault Recognition Network.” Computers and Electronics in Agriculture

Lifu Gao | Control Theory and Control Engineering | Best Researcher Award

Published on by AI Data Scientist

Prof. Lifu Gao | Control Theory and Control Engineering | Best Researcher Award

Professor at Hefei Institutes of Physical Science Chinese Academy of Sciences, China

Dr. Lifu Gao is a prominent researcher affiliated with the Hefei Institutes of Physical Science, Chinese Academy of Sciences, and the University of Science and Technology of China. With a robust foundation in intelligent systems, his scholarly contributions focus on distributed multiagent systems, control theory, and game-theoretic optimization under complex environmental constraints. Dr. Gao is known for integrating mathematical rigor with real-world engineering applications, exemplified through his cutting-edge research and international publications.

🧑‍🔬 Profile

ORCID

🎓 Education

Dr. Lifu Gao pursued his advanced studies at the University of Science and Technology of China, where he developed a deep expertise in intelligent control systems, signal processing, and complex system modeling. His academic foundation laid the groundwork for an impactful career dedicated to solving large-scale, real-world engineering problems through interdisciplinary innovation.

🧠 Experience

Dr. Gao serves at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, and is actively involved in multi-institutional research initiatives. His experience includes collaborative roles in multiagent systems design, robotic control frameworks, and stability analysis in nonlinear environments. His leadership in theoretical and applied domains marks him as a leading figure in automation and intelligent machines.

🔍 Research Interest

Dr. Gao’s research centers on distributed multiagent systems (MASs), with a special interest in global stability analysis, asymmetric game theory, colocalization algorithms, and Luenberger observer design. His novel approach integrates multiprincipal game methods with robust control under uncertainty, pushing the boundaries of decentralized control systems in both civilian and military domains such as UAVs and intelligent transportation.

📚 Publications

Dr. Lifu Gao has significantly contributed to peer-reviewed scientific literature. A key publication is:

  • “Multiprincipal Asymmetric Game Method for Distributed Multiagent Systems and Its Global Stability Analysis in Complex Environments”, published in the Asian Journal of Control, 2025.
    This work introduces a game-theoretic layout optimization method and analyzes the global stability of MASs using singular matrix formulations and LMI-based control design.

🏆 Conclusion

Dr. Lifu Gao’s pioneering contributions to the theoretical framework and real-world deployment of distributed multiagent systems demonstrate academic excellence, societal impact, and innovative depth. His novel integration of game theory and control systems with practical applications in complex environments positions him as an outstanding nominee for the Best Researcher Award. His scholarly rigor and interdisciplinary approach epitomize the values this award seeks to recognize.

Shoulong Xu | Nuclear Radiation Detection | Best Researcher Award

Published on by AI Data Scientist

Dr. Shoulong Xu | Nuclear Radiation Detection | Best Researcher Award

Associate Professor at University of South China, China

Dr. Shoulong Xu is an accomplished Associate Professor specializing in nuclear safety and radiation detection technologies. With a strong academic and research foundation, he has made significant contributions to the development of radiation-hardened technologies and emergency monitoring systems for extreme environments. A dedicated educator and researcher, Dr. Xu is affiliated with key academic and professional bodies, including the Chinese Nuclear Society and the Chinese Instrument and Control Society. He also plays a vital role in overseeing strategic initiatives at the University of South China, where he currently serves in multiple leadership capacities. His academic excellence is reflected in his postdoctoral tenure at Tsinghua University and numerous provincial and national recognitions.

Profile

ORCID

Education

Dr. Xu completed his Ph.D. in Nuclear Technology and Applications from the University of South China in 2017 under the guidance of Professor Shuliang Zou. His doctoral research laid the groundwork for his future exploration in radiation detection and nuclear emergency systems. Prior to his doctoral studies, he earned his bachelor’s degree in Thermal Energy and Power Engineering from North China Electric Power University in 2010. This strong academic foundation, integrating engineering and nuclear sciences, enabled him to specialize in multi-disciplinary research focused on safety in nuclear facilities and applications in high-radiation environments.

Experience

Dr. Xu has held various academic and administrative roles at the University of South China. Since 2017, he has advanced from Lecturer to Associate Professor and has led several key departments, including the Safety Engineering Department and the School of Resources, Environment, and Safety Engineering. He was appointed Vice Dean of the Graduate School in 2024 and currently serves as the Director of the Admissions Office and Career Guidance Center. From 2017 to 2019, he conducted postdoctoral research at Tsinghua University, further honing his expertise in nuclear safety. In parallel to his teaching and research roles, Dr. Xu has led multiple provincial-level education reform and innovation projects, emphasizing his commitment to pedagogical advancement.

Research Interests

Dr. Xu’s primary research interests lie in nuclear radiation detection and emergency safety systems. His work focuses on designing robust and efficient monitoring systems for extreme environments, particularly during nuclear facility decommissioning and accident response scenarios. He also explores radiation-hardened sensor technologies and the development of advanced detection algorithms using monolithic active pixel sensors. His projects often address practical challenges, such as the real-time monitoring of radionuclide diffusion and the development of optimized emergency response measures in marine nuclear reactor settings. Dr. Xu continues to lead several interdisciplinary projects funded by national and provincial foundations, strengthening safety protocols and technologies in nuclear environments.

Awards

Throughout his career, Dr. Xu has received several honors in recognition of his academic leadership and teaching innovation. He is a distinguished Young Scholar under the Furong Scholars Program of Hunan Province and has been recognized as a Model Teacher for Ideological and Political Education. He also leads both a Model Teaching Team and a Model Graduate Course in the province. These awards underscore his dual commitment to research excellence and pedagogical innovation. In addition, his leadership in collaborative innovation centers and key laboratories has contributed significantly to regional and national advancements in nuclear safety and emergency technologies.

Publications

Dr. Xu has authored over 50 academic papers and holds 7 invention patents.

  1. Electronics (2024) – “Research on Radiation Damage and Reinforcement of Control and Sensing Systems in Nuclear Robots”

  2. Sustainability (2023) – “Study on Atmospheric Diffusion of Airborne Radionuclide Under LOCA…”

  3. Sustainability (2023) – “Risk Analysis of Nuclear Security Radiation Events…”

  4. Optics Express (2022) – “Parallel Processing of Radiation Measurements…”

  5. Sensors (2022) – “Calculation Method of Radiation Response Eigenvalue…”

  6. IEEE Sensors Journal (2019) – “High Dose Rate γ-ray Detection with CMOS Sensor…”

  7. Sustainability (2018) – “Study on 4T-APS for Nuclear Accidents”

These publications demonstrate Dr. Xu’s prolific contribution to the intersection of sensor technology, nuclear safety, and emergency response.

Conclusion

Dr. Shoulong Xu exemplifies academic leadership, innovation, and impact in the field of nuclear safety engineering. Through his interdisciplinary research, administrative leadership, and dedication to teaching, he has advanced technological and educational frontiers in radiation monitoring and emergency systems. His ability to bridge theoretical development with practical application positions him as a key contributor to both academic research and public safety infrastructure. With an impressive record of funded projects, published work, and institutional roles, Dr. Xu continues to influence the field of nuclear technology and education at both national and international levels.

Muhammad Ammar Jamshed | Edtech | Data Scientist of the Year Award

Published on by AI Data Scientist

Muhammad Ammar Jamshed | Edtech | Data Scientist of the Year Award

CEO at Coursemon, Pakistan

Muhammad Ammar Jamshed is a Research Data Scientist, educator, and entrepreneur from Karachi, Pakistan 🇵🇰. Known for his pioneering work in EdTech, AI bootcamps, and data governance, he is the Co-founder of Coursemon, a startup bridging AI with education. He is also a mentor ranked in the top 1% globally across Kaggle, Topmate, and LinkedIn platforms. Ammar brings a unique combination of academic insight and industry relevance, making him a thought leader in the field.

👨‍💼 Profile

ORCID

✅ Suitable for “Data Scientist of the Year Award”

Muhammad Ammar Jamshed exemplifies the ideal candidate for the Data Scientist of the Year Award 🏆. With a stellar blend of technical innovation, teaching acumen, and impactful contributions to data science ecosystems globally, he has distinguished himself through leadership roles, entrepreneurial ventures, and global recognitions. Ranked in the top 1% on platforms like Kaggle, GitHub, and LinkedIn, and recognized by institutions such as Pistoia Alliance UK and Times Square New York, Ammar has consistently demonstrated excellence in research, training, and practical applications of data science.

🎓 Education

Ammar pursued his MSc in Data Science from the University of London (2021–2023), after completing a Diploma in Big Data Analytics from IBA (2020–2021) and a BSc in Business & Management from the University of London (2016–2020). He briefly enrolled in a PhD in Artificial Intelligence at NUST (2024–2025) before choosing to focus on professional development in Karachi.

💼 Experience

With over 6 years of multifaceted experience—3 years as a professional, 2 years freelancing, and 1 year as an entrepreneur—Ammar has worked with notable entities like Unilever, The Citizens Foundation, and AI Datayard. He led multiple training sessions for professionals from global institutions like HBL UK, Simpliv USA, and Pakistan’s Federal Board of Revenue. As CEO of Coursemon, he created AI-driven educational recommendation systems, further cementing his reputation in applied data science.

🔬 Research Interest

Ammar’s research interests span artificial intelligence, deep learning, data governance, quantum computing applications, and business intelligence 🌐. He is particularly focused on democratizing analytics education and leveraging AI in underrepresented sectors such as Islamic finance, e-commerce, and soil fertility.

📚 Publications

Ammar has authored seven research publications and one book titled “Incoherence’s Between Data and Analysis” (May 2024). His journal articles include:

  1. Bayesian Network Design for Decision Support System in South Asian E-commerce Management, IJRACSE, 2023.

  2. Analyze Soil Fertility using Deep Learning CNN, Shanlax Journals India, January 2023.
    Other research articles published on ResearchGate in 2022–2023 include works on Islamic banking, cognitive behavior analysis, quantum computing, online teaching during COVID-19, and analytics in Pakistan’s cottage industry.

Moh’d Abdalla | AI in Hospitality and Tourism | Best Researcher Award

Published on by AI Data Scientist

Dr. Moh’d Abdalla | AI in Hospitality and Tourism | Best Researcher Award

Researcher at Eastern Mediterranean University, Turkey

Dr. Moh’d Juma Abdalla currently serves as the Ambassador and Head of Mission of Tanzania to Saudi Arabia. With deep-rooted expertise in tourism management and international relations, he blends policy, academia, and practice in an impactful career. He has held leadership roles in government and tourism organizations, published extensively in top-tier journals, and represented his country globally. His multicultural language proficiency and involvement in tourism fairs and professional boards showcase his dynamic professional persona and visionary intellect.

👨‍🎓 Profile

Scopus

🏅 Suitable for this Research for “Best Researcher Award”

Dr. Moh’d Juma Abdalla exemplifies excellence in multidisciplinary research and policy-driven leadership, making him a prime nominee for the “Best Researcher Award”. His extensive contributions to tourism management, public policy, and international relations reflect a remarkable fusion of academic insight and real-world application. Through his groundbreaking publications, impactful government roles, and global participation in tourism fairs, Dr. Abdalla has significantly influenced both academic discourse and industry practices. His dedication to addressing contemporary challenges—such as the effects of generative AI, the informal sector, and COVID-19 implications—further underscores his eligibility for this prestigious recognition.

🎓 Education

Dr. Abdalla’s academic journey is both distinguished and diverse. He earned his Ph.D. in Tourism Management from the Eastern Mediterranean University in 2023. His dual Master’s and Bachelor’s degrees in Political Science and International Relations were completed at the University of Dar es Salaam in 2010 and 2003, respectively. Additionally, he pursued a Bachelor’s in Tourism Management and Marketing from the State University of Zanzibar in 2017. His foundational education includes Advanced and Ordinary Level Certificates from Zanzibar’s prestigious Lumumba and Vikokotoni schools. He also holds training certifications in Diplomacy (Beijing) and Sustainable Tourism (Zanzibar).

💼 Experience

Dr. Abdalla has held a succession of high-profile roles, reflecting his leadership in diplomacy, governance, and tourism. Since 2023, he has served as the Tanzanian Ambassador to Saudi Arabia. Prior roles include Regional Administrative Secretary (2022–2023) and Executive Secretary of the Zanzibar Commission for Tourism (2021–2022). He was also the Bilateral Coordinator at Zanzibar’s Ministry of Finance and Economic Affairs (2003–2008), overseeing international cooperation and aid coordination. Early in his career, he worked as a French teacher. His board memberships in major tourism organizations demonstrate his long-standing influence in the sector.

🔬 Research Interest

Dr. Abdalla’s research interests span tourism management, policy analysis, consumer behavior, education tourism, and crisis management. His academic output delves into pressing themes like the impact of informal entrepreneurs, AI in branding, pandemic-related labor shifts, and tourist perceptions. He is especially committed to understanding how tour operators, hospitality institutions, and edu-tourists interact with broader economic, social, and technological trends. His work links theory with practice, aiming to improve operational strategies and policy frameworks within developing regions.

📚 Publication

Dr. Abdalla has published prolifically in top-tier international journals, addressing cutting-edge issues in tourism and hospitality:

  • 2025: “Beyond the hype: Evaluating the impact of generative AI on brand authenticity…” in International Journal of Hospitality Management.

  • 2024: “Crowding perceptions of hotels in Zanzibar…” in Tourism: An International Interdisciplinary Journal.

  • 2024: “Does the tourist’s incivility relate to the tour guide’s professionalism?” in International Journal of Tourism Policy.

  • 2023: “Perceived threat of informal entrepreneurs…” in Current Issues in Tourism.

  • 2023: “Promoting face-to-face education under perceived risk…” in Journal of Hospitality & Tourism Education.

  • 2022: “Enhancing performance of inbound tour operators through coopetition” in International Journal of Tourism Research.

  • 2022: “Edu-tourists’ loyalty to University Town” in Anatolia.

  • 2022: “Evaluation of epistemic value and safety in destination choice” in Current Issues in Tourism.

  • 2021: “COVID-19 and unpaid leave impacts…” in Tourism Management Perspectives.

  • 2021: “Boredom and behavior of edu-tourists during COVID-19” in Tourism Management Perspectives.

  • 2021: “Effect of informal actors on tour operators” in Journal of Travel & Tourism Marketing.