Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

Published on by Research Data Analysis

Dr. Amirhossein Karamoozian | Civil Engineering | Best Researcher Award

Shenzhen University | China

Dr. Amirhossein Karamoozian is a researcher and lecturer at the International College, University of Chinese Academy of Sciences (UCAS), with a Ph.D. in Management Science and Engineering (Project Management). His research focuses on risk assessment, project management, sustainable construction, and decision-making methodologies, with applications in construction, renewable energy, and transportation projects. He has authored numerous high-impact SCI journal articles and holds multiple patents on construction project risk assessment and material selection. Dr. Karamoozian has received several awards, including best paper recognitions at IEEE symposiums and the UCAS Excellent International Graduate Student Award, reflecting his significant contributions to engineering management research.

View Orcid Profile View Google Scholar Profile

Featured Publications


Assessing urban outdoor thermal discomfort across scales and climates: Implications for sustainable urban management in Iran

– Sustainable Cities and Society, 2026-01Contributors: Aminreza Karamoozian; Abouzar Gholamalizadeh; Saman Nadizadeh Shorabeh; Amirhossein Karamoozian; Mohammad Karimi Firozjaei

COVID-19 automotive supply chain risks: A manufacturer-supplier development approach

– Journal of Industrial Information Integration, 2024-03Contributors: Aminreza Karamoozian; Chin An Tan; Desheng Wu; Amirhossein Karamoozian; Saied Pirasteh

An Integrated Approach for Instability Analysis of Lattice Brake System Using Contact Pressure Sensitivity

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan; Liangmo Wang; Yuanlong Wang

Probability Based Survey of Braking System: A Pareto-Optimal Approach

– IEEE Access, 2020Contributors: Aminreza Karamoozian; Haobin Jiang; Chin An Tan

Yang Peng | Public Health Analytics | Research Excellence Award

Published on by Research Data Analysis

Dr. Yang Peng | Public Health Analytics | Research Excellence Award

The University of Queensland | Australia

Dr. Yang Peng is an accomplished epidemiologist and Research Fellow at the Epidemiology Division, Cancer Council Victoria, with a strong focus on population health, cardiovascular disease, and cancer epidemiology. He earned his PhD in Epidemiology from The University of Queensland, Australia, following an MMed in Epidemiology and Biostatistics from Guangdong Pharmaceutical University, China, and a BMed in Clinical Medicine from Hebei Medical University, China. Dr. Peng’s professional experience spans roles in cardiovascular outcomes research, Indigenous cancer survival studies, and large-scale international cohort analyses, involving data from over 2 million participants across multiple cohorts. His expertise includes statistical analysis of large-scale linked data, systematic review, meta-analysis, and advanced use of statistical software such as Stata, SAS, and SPSS. He has authored 41 documents, cited 667 times across 649 documents, and holds an h-index of 17, with publications in high-impact journals including Scientific Reports, Stroke, European Heart Journal, and Cancer Epidemiology, Biomarkers & Prevention. His research interests focus on lifestyle factors, cardiovascular health metrics, cancer prevention adherence, stroke and heart failure outcomes, and population-level survival disparities. Through rigorous research, collaborative projects, and evidence-based analyses, Dr. Peng contributes significantly to understanding disease epidemiology, improving public health policies, and guiding preventative strategies globally.

View Orcid Profile
 View Orcid Profile

Featured Publications

Vaishali Sharma | Neuroscience Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Dr. Vaishali Sharma | Neuroscience Data Analysis | Best Researcher Award

Post Graduate Institue of Medical Education and Research (PGIMER) | India

Dr. Vaishali Sharma is a Senior Research Fellow at the Department of Neurology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, specializing in neurobiology, neuroinflammation, and sleep disorders. She earned her Ph.D. in Neurology (2020–2025) from PGIMER, focusing on the role of aquaporins, heat shock proteins, and neuroinflammatory markers in idiopathic intracranial hypertension (IIH) and their correlation with clinical parameters. She also holds a master’s degree in Zoology and a bachelor’s in Medical Science. Her research encompasses molecular biomarkers, blood-brain barrier disruption, circadian rhythm disturbances, and the evaluation of sleep and headache disorders, combining clinical, translational, and systematic review approaches. Dr. Sharma has contributed to multiple peer-reviewed publications and conference presentations, investigating psychiatric and sleep abnormalities, migraine care, and IIH pathophysiology. She has been recognized with several awards and fellowships, including CSIR and ICMR travel grants, best poster awards, and national and international research fellowships. Her professional activities extend to academic leadership and organizing conferences in neuro-ophthalmology and neurology. Dr. Sharma’s work advances the understanding of neuroinflammatory mechanisms, sleep disorders, and headache pathophysiology, providing insights for improved diagnosis, treatment, and quality of life for patients with neurological disorders.

Profile : Google Scholar

Featured Publications

Choudhary, N., Kumar, A., Sharma, V., Kaur, K., Kharbanda, P. S., Baishya, J., et al. (2024). “Effectiveness of CBT for reducing depression and anxiety in people with epilepsy: A systematic review and meta-analysis of randomized controlled trials.” Epilepsy & Behavior, 151, 109608.

Sharma, V., Chakravarty, K., Ray, S., Lal, V., & Takkar, A., Kharbanda, P. (2021). “Evaluation of prevalence and severity of obstructive sleep apnea using overnight-polysomnography in patients with idiopathic intracranial hypertension.” Journal of the Neurological Sciences, 429.

Sharma, V., Chakravarty, K., & Ray, S. (2023). “Questionnaire-based evaluation of sleep abnormality in patients with primary headache disorder: A cross-sectional study from tertiary care centre.” Journal of the Neurological Sciences, 455.

Sharma, S. R. V., & Chakravarty, K. (2023). “Questionnaire-based assessment of sleep abnormalities in patients with migraine: A cross-sectional study with a comparison group.” Annals of Indian Academy of Neurology, 26, S186.

Sharma, A. T. K., Chakravarty, K., Lal, V., & Kharbanda, P. S., et al. (2022). “Sleep and headache characteristics in patients with idiopathic intracranial hypertension (IIH) – An observational study.” Annals of Indian Academy of Neurology, 25, S296–S297.

Gracia Cristina Villodres | Descriptive Analytics | Best Research Article Award

Published on by Research Data Analysis

Mrs. Gracia Cristina Villodres |  Descriptive Analytics | Best Research Article Award

University of Granada | Spain

Gracia Cristina Villodres is a predoctoral fellow at the University of Granada, specializing in physical activity, health, and education. She holds a Bachelor’s Degree in Primary Education with a specialization in Physical Education (2020), and two Master’s Degrees—one in Research and Innovation in Curriculum and Teacher Training (2021) and another in Physical Activity and Health (2022). Currently completing her PhD (FPU Fellowship 2021–2025) on healthy habits, cognitive function, and academic performance, she is also pursuing a Degree in Psychology. Her research interests focus on physical activity, body image, academic achievement, and mental health in youth populations. She has participated in four competitive research projects, serving as both researcher and principal investigator, and has published over 50 book chapters with ISBN. Her scholarly impact includes an H-index of 4 in Web of Science, 12 in Scopus, and 5 in Google Scholar, with a total of over 55 citations across databases. She has completed a research stay at the University of Bern and received the University of Granada Talent Award (2022). Through her teaching and research, she promotes evidence-based approaches to education and health, aiming to enhance well-being, inclusion, and performance in school and university settings.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Villodres, G. C., Pérez-Díaz, J.-J., Salas-Montoro, J.-A., & Muros, J. J. (2025). Sex-based differences in lifestyle behaviours, self-esteem, and academic performance: A structural equation model in high-socioeconomic-status school-aged youth from southern Spain. Children.

Villodres, G. C., Rodríguez-Mérida, M., Vizcaíno-Cuenca, R., & Muros, J. J. (2025). Effectiveness of physical education interventions on mental health in children and adolescents: A systematic review of wellbeing and distress across educational levels. Adolescent Research Review.

Villodres, G. C., Campos-Pérez, L. M., Salvador-Pérez, F., Muros, J. J., & Vizcaíno-Cuenca, R. (2025). Relación entre el uso de redes sociales, hábitos saludables y factores psicológicos relacionados con la percepción de la imagen corporal en estudiantado universitario. Retos.

Navidad Cobo, L., Villodres, G. C., & Padial-Ruz, R. (2025). Efecto de un programa de actividad física y educación nutricional para la mejora de hábitos saludables en educación primaria. Retos.

Villodres, G. C., Salvador-Pérez, F., & Muros, J. J. (2024). Factors associated with Mediterranean diet adherence in a sample of high socio-economic status children from southern Spain. Public Health Nutrition.

Vivekanand Kumar | Vibration | Best Researcher Award

Published on by Research Data Analysis

Assist. Prof. Dr. Vivekanand Kumar | Vibration | Best Researcher Award

Sandip University | India

Dr. Vivekanand Kumar is an accomplished academic and researcher specializing in mechanical and mining engineering, with significant contributions to vibration analysis, occupational safety, and heavy machinery operation in industrial environments. He is currently serving as an Assistant Professor at Sandip University, Madhubani, Bihar, India, where he also holds key roles as the University Coordinator for SodhGanga and SodhShuddhi. His professional journey combines a strong foundation in engineering education, extensive research in vibration control and occupational health, and practical industrial experience in thermal power plants and heavy earth-moving machinery operations.

Professional Profile

ORCID

Education

Dr. Kumar holds a doctoral degree in Mining Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi, where his research focused on whole-body vibration and its impact on heavy earth-moving machinery operators in opencast coal mines. He completed his Master of Technology in Fuel Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad, with a thesis on quantitative dynamic analysis of shale gas reservoirs. His undergraduate studies in Mechanical Engineering from R.G.P.V., Bhopal, provided the groundwork for his multidisciplinary expertise spanning mining, fuel engineering, and mechanical systems.

Experience

Dr. Kumar’s career integrates academic, research, and industrial experience. In academia, he has taught core mechanical engineering subjects and engineering graphics to undergraduate students, contributing to the development of future engineers. He served as a faculty member at Government Engineering College, Madhubani, before joining Sandip University, where he continues to mentor students and lead research initiatives. His industrial background includes roles in thermal power plant operations and waste heat recovery boiler commissioning, providing him with practical insights into large-scale industrial systems.

Research Interest

His primary research interests revolve around vibration engineering, occupational health and safety, heavy machinery operation, and ergonomic risk assessment in industrial and mining sectors. Dr. Kumar has authored several peer-reviewed journal articles and conference papers focusing on whole-body vibration exposure, musculoskeletal health risks of operators, and adaptive vibration damping technologies. His research also extends to smart composite materials, Bayesian network-based risk assessment approaches, and the analysis of shale gas reservoirs for energy resource evaluation.

Awards

Throughout his academic journey, Dr. Kumar has been recognized with multiple fellowships and awards that supported his research and higher education. He received prestigious fellowships from the Ministry of Human Resource Development (MHRD) during his postgraduate and doctoral studies, enabling him to advance his expertise in mining engineering and vibration control technologies.

Publications

Kumar, V. (2025). “Design and Analysis of Smart Composite Materials for Active Vibration Damping and Adaptive Control in Aerospace and Automotive Structures” in Journal of Vibration Engineering and Technologies.

Kumar, V., Palei, S.K., & Karmakar, N.C. (2025). “Discomfort Survey of Dumper Operators Exposed to Whole-Body Vibration in Opencast Coal Mines” in Journal of Vibration and Control.

Chaudhary, D.K., Palei, S.K., Kumar, V., & Karmakar, N.C. (2022). “Whole-Body Vibration Exposure of Heavy Earthmoving Machinery Operators in Surface Coal Mines: A Comparative Assessment of Transport and Non-Transport Earthmoving Equipment Operators” in International Journal of Occupational Safety and Ergonomics.

Kumar, V., Palei, S.K., Karmakar, N.C., & Chaudhary, D.K. (2022). “Whole-Body Vibration Exposure vis-à-vis Musculoskeletal Health Risk of Dumper Operators Compared to a Control Group in Coal Mines” in Safety and Health at Work.

Atal, M.K., Palei, S.K., Chaudhary, D.K., Kumar, V., & Karmakar, N.C. (2020). “Occupational Exposure of Dumper Operators to Whole-Body Vibration in Opencast Coal Mines: An Approach for Risk Assessment Using a Bayesian Network” in International Journal of Occupational Safety and Ergonomics.

Conclusion

Dr. Vivekanand Kumar exemplifies a well-rounded professional with a strong commitment to advancing research and education in the fields of mechanical and mining engineering. His blend of academic rigor, research contributions, and industrial experience positions him as a valuable contributor to occupational safety, vibration analysis, and engineering education. His work not only addresses key industrial challenges but also aligns with sustainable and safer practices in mining and heavy machinery operations, making a meaningful impact on both academia and industry.

Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

Published on by Research Data Analysis

Dr. Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

Yangzhou University | China

Dr. Muhammad Saddam Khokhar is an accomplished academic and researcher specializing in generative artificial intelligence and computer vision. With over a decade of teaching, research, and leadership experience, he has made significant contributions to artificial intelligence, quantum computing, and deep learning. His expertise spans across developing innovative AI-driven solutions, managing academic programs, and mentoring research scholars at undergraduate, postgraduate, and doctoral levels. As an assistant professor and former department chairman, he has been instrumental in advancing artificial intelligence education, accreditation processes, and research-driven innovation in multiple institutions internationally.

Professional Profiles

ORCID

GOOGLE SCHOLAR

Education

Dr. Khokhar earned his Doctorate in Computer Application Technology from Jiangsu University, China, where his dissertation focused on nonlinear optimization and dimensional reduction using advanced Spearman correlation analysis integrated with deep learning models. His research was recognized with an excellent dissertation award for its innovative methodologies. He also holds a Master’s degree in Computer Science and Information Technology with a focus on machine learning, data mining, and software project management, as well as a Bachelor’s degree in Software Engineering, where he developed strong expertise in artificial intelligence, software architecture, and advanced programming techniques.

Experience

With extensive academic and professional experience, Dr. Khokhar has served in multiple teaching and research roles, including Assistant Professor at the College of Artificial Intelligence, Yangzhou University, and Postdoctoral Fellow at the College of Software Engineering, focusing on generative AI projects. He has also chaired the Department of Artificial Intelligence at Dawood University of Engineering and Technology and contributed to curriculum development, laboratory design, and accreditation processes for AI and quantum computing programs. Earlier in his career, he held lecturer positions at leading Pakistani universities and worked as a software engineer, gaining industry insights that enriched his academic pursuits.

Research Interests

His research primarily focuses on generative artificial intelligence, computer vision, deep learning, and nonlinear optimization techniques. Dr. Khokhar has developed innovative models leveraging Spearman correlation analysis for medical image processing, robotic vision, traffic surveillance, and multi-camera monitoring systems. His recent projects explore lightweight generative adversarial networks (IoTGAN), hybrid attention-driven generative frameworks, and blockchain-based secure election systems. He has also actively contributed to discussions on artificial general intelligence, metaverse technologies, and ethical implications of AI in modern societies through various publications and invited talks.

Awards

Dr. Khokhar has been recognized with several prestigious awards for his contributions to innovation, research, and academic excellence. These include the Best Innovation Award for developing a revolutionary AI platform for gene editing and medical technology, multiple academic achievement awards during his doctoral studies, and accolades in application development and research competitions. His work has been published in high-impact journals and presented at international conferences, showcasing his commitment to advancing cutting-edge AI research and practical solutions for global challenges.

Publications

Muhammad Saddam Khokhar, Misbah Ayoub, Zakria, Abdullah Lakhan. (2025). “Advanced Nonlinear Optimization of Low- and High-Resolution Medical Images Using Adaptive Deep Spearman Correlation Analysis (D-SCA) for Pattern Sequence Recognition.” Applied Soft Computing.

Muhammad Saddam Khokhar. (2025). “Energy Harvesting in IoT, Fog, and Blockchain–Thermoelectric Cooling Innovations.”

Muhammad Saddam Khokhar. (2025). “Health Coin: Revolutionizing Global Healthcare with Green Blockchain Technology.”

Zakria Zakria, Jianhua Deng, Rajesh Kumar, Muhammad Saddam Khokhar, Jingye Cai, Jay Kumar. (2022). “Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Abdullah Lakhan, Qurat-ul-ain Mastoi, Mazhar Ali Dootio, Fehaid Alqahtani, Ibrahim R. Alzahrani, Fatmah Baothman, Syed Yaseen Shah, Syed Aziz Shah, Nadeem Anjum, Qammer Hussain Abbasi, et al. (2021). “Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network.” Electronics.

Abdullah Lakhan, Mazhar Ali Dootio, Tor Morten Groenli, Ali Hassan Sodhro, Muhammad Saddam Khokhar. (2021). “Multi-Layer Latency Aware Workload Assignment of E-Transport IoT Applications in Mobile Sensors Cloudlet Cloud Networks.” Electronics.

Conclusion

Dr. Muhammad Saddam Khokhar embodies a dynamic blend of academic rigor, innovative research, and leadership in the field of artificial intelligence. His career reflects a commitment to advancing AI education, developing impactful technologies, and contributing to global scientific knowledge. Through his research, publications, and mentorship, he continues to inspire the next generation of AI professionals while fostering interdisciplinary collaborations that bridge technology with societal advancement.

Zakiyeh azdanshenas | Qualitative Research | Best Researcher Award

Published on by Research Data Analysis

Dr. Zakiyeh azdanshenas | Qualitative Research | Best Researcher Award

University of Tehran | Iran

Dr. Zakiyeh Yazdanshenas is an accomplished scholar and academic leader specializing in International Relations, Regional Studies, and China–Middle East dynamics. She currently serves as an Assistant Professor at the University of Tehran’s Faculty of World Studies, Department of East and South Asian Studies, where she designs and delivers graduate-level courses on politics, China’s foreign policy, and global cultural transitions. Alongside her academic post, she is a Research Fellow at the Center for Applied Research in Partnership with the Orient (Germany) and the Director of the China–MENA Relations Research Group at the Center for Scientific Research and Middle East Strategic Studies (Iran). With a blend of academic, policy, and research expertise, Dr. Yazdanshenas plays a pivotal role in fostering dialogue and knowledge exchange on geopolitical developments, regional integration, and cross-cultural engagement.

Professional Profile

ORCID

GOOGLE SCHOLAR

Education

Dr. Yazdanshenas holds a Ph.D. in Regional Studies from the University of Tehran, where her doctoral research explored the “Pivot to Asia Strategy” and its implications for the Middle East’s regional order under the guidance of distinguished professors. She earned her Master’s degree in International Relations from Shahid Beheshti University, focusing on China’s position in the international system and its strategic opportunities and challenges. Her academic journey began with a Bachelor’s degree in Political Science from the University of Shiraz, where she developed the foundational knowledge that would later underpin her scholarly focus on Asia–Middle East relations.

Experience

Dr. Yazdanshenas has an extensive academic and research portfolio. At the University of Tehran, she is responsible for graduate modules such as Introduction to Politics, China’s Foreign Policy, and Culture and Identity in a World in Transition. She has also served as Visiting Assistant Professor at the University of Tehran’s Faculty of Law and Political Science, Allameh Tabataba’i University, and the University of Bojnord, teaching subjects including U.S. foreign policy, theories of regional studies, and international negotiations.
Her research experience spans roles as Researcher at the Islamic Parliament Research Center of Iran, where she produced policy reports on China’s foreign policy in Central and West Asia, and as a long-term Research Fellow at the Center for Scientific Research and Middle East Strategic Studies. She has actively engaged in project-based research funded by prestigious institutions, covering topics such as China’s antitrust laws, Iran–China strategic partnerships, and U.S. governmental foreign policy strategies. Beyond academia, she has contributed to the public discourse as a journalist and columnist for leading Iranian and international platforms.

Research Interests

Her research interests lie at the intersection of International Relations, Regional Studies, and comparative foreign policy, with a primary focus on China–Middle East relations, U.S.–China strategic rivalry, and geopolitical transitions in the MENA region. She is particularly engaged in examining how China’s expanding role affects regional connectivity, security dialogue, and economic integration. Other interests include identity politics in global affairs, international negotiations, and the influence of major power competition on regional orders. Her work blends theoretical analysis with policy-relevant insights, aiming to contribute both to academic scholarship and to informed policymaking.

Awards & Recognitions

While her academic career is defined more by scholarly contributions and leadership roles than formal awards, Dr. Yazdanshenas’s recognition comes through her international invitations to speak at high-profile conferences and panels. She has been a guest speaker at globally respected institutions and forums, including Princeton University, the Middle East Institute (Singapore), CARPO, and the Arab Center for Research and Policy Studies. These invitations reflect the global relevance of her research and the esteem in which she is held by peers in academia and policy circles.

Publication

From Engaging to Containing China: US Attempts to Fill Power-role Gaps (2000–2018)

Authors: Zakiyeh Yazdanshenas
Journal: The International Spectator
Year: 2025

China-Iran Strategic Partnership and the Future of US Hegemony in the Persian Gulf Region

Authors: Alam Saleh, Zakiyeh Yazdanshenas
Journal: British Journal of Middle Eastern Studies
Year: 2024

Economic Diplomacy and China’s Strategy in Regulating Relations with Iran and Saudi Arabia

Authors: Zakiyeh Yazdanshenas
Journal: Strategic Studies of Public Policy
Year: 2022

International Institutions of the Middle East: The GCC, Arab League, and Arab Maghreb Union

Authors: Zakiyeh Yazdanshenas
Journal: British Journal of Middle Eastern Studies
Year: 2021

Conclusion

Dr. Zakiyeh Yazdanshenas stands out as a leading voice in analyzing and shaping the discourse on China–Middle East relations and broader geopolitical transformations. Her multidisciplinary expertise, teaching excellence, and extensive research engagements position her as both a scholar and a bridge-builder between academic research and policy application. Through her roles in academia, research institutes, and international platforms, she has contributed significantly to understanding the dynamics of regional orders and the interplay of global powers. Her ongoing work continues to influence scholarly debates, policy formulation, and cross-regional collaboration, underscoring her role as an influential figure in the evolving landscape of international relations.