Anatoly Vershinin | Algorithm Development | Best Researcher Award

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Prof. Anatoly Vershinin | Algorithm Development | Best Researcher Award

Lomonosov Moscow State University | Russia

Professor Anatoly Vershinin is a distinguished computational mechanics researcher at Lomonosov Moscow State University, holding a Doctorate in Physical and Mathematical Sciences. Graduating with honors from the Faculty of Mechanics and Mathematics in 2006, he has been a core member of the Chair of Computational Mechanics since 2009. With an h-index of 11 and over 321 citations, Professor Vershinin has authored 51 journal articles, 4 books, and holds 33 patents, contributing significantly to numerical modeling, high-performance computing, and computational mechanics. His research focuses on numerical discretization methods for nonlinear partial differential equations and parallel algorithms for massively parallel computing systems, underpinning the industrial structural engineering software CAE Fidesys. He has led or contributed to 11 research projects and multiple consultancy initiatives in collaboration with institutes such as the Schmidt Institute of Physics of the Earth and Saudi Aramco Moscow Innovation Center. An active member of the International Program Committee for “Advanced Mechanics: Structure, Materials, Tribology,” he bridges academia and industry, driving innovations in structural analysis and computational methods. His contributions have earned recognition for advancing numerical methods, high-performance simulations, and practical engineering applications, establishing him as a leading figure in computational mechanics research.

Profiles : Scopus | Orcid | Research Gate

Featured Publications

Yarushina, V. M.; Podladchikov, Y. Y.; Vershinin, A. V. (2025). “A Micromechanical Model for Mineral Replacement Reactions and Associated Deformation: From Pore Clogging to Solid Volume Increase” in American Journal of Science.

Ampilov, Y. P.; Vershinin, A. V.; Kunchenko, D. S.; Petrovsky, K. A.; Safuanova, K. R. (2025). “Prediction of Thin-Layer Thickness Using Seismic Full-Waveform Modeling” in Moscow University Geology Bulletin.

Levin, V. A.; Vershinin, A. V. (2024). “CAE Fidesys as the Implementation of Fundamental Results of Computational Mechanics into Industry” in International Scientific Conference “Advanced Mechanics: Structure, Materials, Tribology”, Samarkand, Uzbekistan, 23-26 сентября 2024. Abstracts

Levin, V. A.; Vershinin, A. V.; Yakovlev, M. Ya; Levchegov, I. O.; Zhmurovsky, A. A. (2024). “Computed Tomography Based Stress-Strain Analysis of Heterogeneous Models of Rocks and Biological Tissues Using Unstructured Meshes” in Russian Physics Journal.

Vershinin, A.; Ampilov, Y.; Levin, V.; Petrovsky, K. (2024). “Full waveform modeling in seismic exploration based on a digital geological model using spectral element method on GPU” in 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics.

Jiapeng Xu | Qualitative Research | Best Researcher Award

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Mr. Jiapeng Xu | Qualitative Research | Best Researcher Award

Northwest A&F University | China

Dr. Jiapeng Xu is an accomplished Associate Professor at the College of Economics and Management, Northwest A&F University, specializing in urbanization, industrial economy, and urban-rural sustainable development. He earned his Doctor of Management degree from Huazhong Agricultural University and has established a distinguished career in research, teaching, and policy advisory. With over 11 publications in leading journals such as Environmental Impact Assessment Review, Environment, Development and Sustainability, and Environmental Management, his scholarly impact is reflected in an h-index of 5 and over 203 citations. Dr. Xu has led more than 10 national and provincial-level projects, including those funded by the National Natural Science Foundation of China, and completed 23 teaching and research initiatives. His policy reports have been recognized at the highest levels of government—four adopted by the General Office of the State Council and three receiving direct instructions from national leaders. A Consulting Expert for World Bank Projects and a member of several academic committees, he also contributes as Deputy Secretary-General of the Agricultural Economics Virtual Teaching Office under China’s Ministry of Education. His research continues to advance sustainable economic policies and educational innovation in China’s western development region, earning him prestigious honors such as the Shaanxi Provincial Higher Education Teaching Achievement Award.

Profile : Scopus

Featured Publications

Promoting Balanced Ecological-economic Development in Ecologically Vulnerable Regions: Spatio-temporal Variation and Driving Factors, 2025

The impact of urbanization on carbon emissions of rural households: a study based on micro-level measurement, 2024

Amanuel Kachiko | Electrica Power Engineering | Best Faculty Award

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Mr. Amanuel Kachiko | Electrica Power Engineering | Best Faculty Award

Haramaya University | Ethiopia

Amanuel Kachiko is a Lecturer and Researcher in Electrical Power Engineering at Haramaya University, Ethiopia, with over eight years of academic and research experience. He holds BSc and MSc degrees in Electrical and Computer Engineering and Electrical Power Engineering, with specialized training in reliability of power systems, renewable energy, grid and off-grid power systems, and optimization of generation, transmission, and distribution networks. His expertise spans simulation tools such as MATLAB, ETAP, PSAT, DigSILENT, and advanced programming for engineering applications. Amanuel’s research interests focus on smart grids, renewable energy integration, power system reliability, and AI-based solutions for energy systems, with several peer-reviewed publications in leading journals including Energy (Elsevier). His contributions extend to applied projects such as the design of automated health, insurance, and ambulance management systems, and the development of automated performance management systems for regional utilities in Ethiopia. He has also completed international certifications in AI, data science, cybersecurity, and research publishing, and actively contributes as a peer reviewer for scientific journals. With a commitment to innovation, teaching, and community-focused projects, Amanuel continues to explore solutions for sustainable electrification, smart grid design, and data-driven energy optimization, shaping the future of energy transitions in developing regions and beyond.

Profiles : Scopus | Orcid 

Featured Publication

“A feasibility analysis of PV-based off-grid rural electrification for a pastoral settlement in Ethiopia”

Vivekanand Kumar | Vibration | Best Researcher Award

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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.

Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

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Mr. Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

Thapar Institute of Engineering and Technology | India

Mr. Rajesh Kumar Chaudhary is a dedicated and result-oriented academician, serving as an Assistant Professor in the Department of Computer Science and Engineering. With over five years of academic and research experience, he has established expertise in clustered federated learning, wireless sensor networks, nature-inspired optimization algorithms, and privacy-preserving distributed artificial intelligence. His professional journey reflects a blend of strong teaching acumen, impactful research contributions, and a commitment to student mentorship. By integrating cutting-edge research with pedagogical innovation, he has significantly contributed to both the academic and practical realms of computer science. His scholarly work has been published in leading international journals, positioning him as an emerging voice in the domain of distributed and intelligent systems.

Education

Mr. Chaudhary holds a solid academic foundation in Computer Science and Engineering. He is currently pursuing a doctoral degree in the discipline from a reputed institute, with his research focusing on advancing clustered federated learning through nature-inspired optimization techniques and privacy-preserving mechanisms. Prior to his doctoral studies, he completed a Master of Technology in Computer Science and Engineering from a recognized university, where he specialized in developing optimization-based solutions for networked systems. His undergraduate studies in Computer Science and Engineering laid the groundwork for his expertise in networking, algorithms, and distributed computing. His academic trajectory has been characterized by consistent excellence, deep engagement with emerging technologies, and a passion for continuous learning.

Experience

Mr. Chaudhary has served as an Assistant Professor in the Department of Computer Science and Engineering at a well-regarded university, where he played a pivotal role in both academic delivery and extracurricular technical initiatives. He has taught core and advanced subjects including Computer Networks, Cryptography, Theory of Automata, and Operating Systems. Beyond classroom teaching, he has supervised multiple student research projects in clustered federated learning, wireless sensor networks, and optimization algorithms, guiding them toward impactful academic outputs. He has also organized workshops, industrial training programs, and technical seminars to bridge the gap between academic knowledge and industry expectations. Recognized for his commitment to institutional development, he has twice received the Best Training Coordinator award for his exceptional coordination of student training and placement activities.

Research Interest

Mr. Chaudhary’s research interests encompass a range of advanced computing topics, with a central focus on clustered federated learning (CFL) — an emerging paradigm in distributed artificial intelligence. He is particularly interested in integrating nature-inspired optimization algorithms, such as grey wolf optimization, real-coded genetic algorithms, and artificial bee colony optimization, to enhance the performance, scalability, and efficiency of CFL systems. His work also delves into privacy-preserving machine learning frameworks, aiming to ensure data security while maintaining high accuracy in distributed environments. Additionally, his research contributions to wireless sensor networks include the development and optimization of energy-efficient communication protocols, making significant strides toward sustainable IoT deployments. His scholarly output in reputed IEEE and Springer journals reflects both depth and breadth in these domains, combining theoretical rigor with practical applicability.

Awards

In recognition of his professional excellence, Mr. Chaudhary has been honored with multiple accolades. He was awarded the Best Training Coordinator on two occasions for his outstanding contributions to student training programs. His postgraduate studies were marked by top academic performance, earning him institutional recognition for his achievements. He has also been acknowledged for his contributions to sports, having represented his district in senior state-level football championships. Furthermore, his research dissemination activities, including paper presentations at national conferences, highlight his active engagement with the wider academic community.

Publications

Review paper on energy-efficient protocols in wireless sensor networks

Authors: R Chaudhary, S Vatta, P No
Journal: IOSR Journal of Engineering 4 (02), 01-07
Year: 2014

A tutorial of routing protocols in wireless sensor networks

Authors: R Chaudhary, DS Vatta
Journal: International Journal of Computer Science and Mobile Computing 3 (6), 971-979
Year: 2014

Performance optimization of WSN using deterministic energy efficient clustering protocol: A review

Authors: R Chaudhary, S Vatta
Journal: International Organization of Scientific Research Journal of Engineering 4 …
Year: 2014

A systematic review on federated learning system: a new paradigm to machine learning

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Knowledge and Information Systems 67 (2), 1811-1914
Year: 2025

Enhancing clustered federated learning using artificial bee colony optimization algorithm for consumer IoT devices

Authors: RK Chaudhary, R Kumar, K Aurangzeb, J Bedi, MS Anwar, A Choi
Journal: IEEE Transactions on Consumer Electronics
Year: 2024

Ameliorating clustered federated learning using real-coded genetic algorithm

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Cluster Computing 28 (6), 1-18
Year: 2025

Ameliorating clustered federated learning using grey wolf optimization algorithm for healthcare IoT devices

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: The Journal of Supercomputing 81 (8), 976
Year: 2025

Conclusion

Mr. Rajesh Kumar Chaudhary exemplifies the qualities of a committed educator, innovative researcher, and proactive mentor. His expertise in clustered federated learning, optimization algorithms, and privacy-preserving distributed AI positions him at the forefront of technological advancements in distributed computing systems. With a career that blends academic excellence, impactful research, and active student engagement, he continues to contribute to the development of intelligent, secure, and efficient computing frameworks. His vision aligns with the future of intelligent systems, where collaborative machine learning and optimization strategies will play a crucial role in shaping secure and high-performance applications across domains.

Bipasha Das | Laser Surface Engineering | Best Researcher Award

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Ms. Bipasha Das | Laser Surface Engineering | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Bipasha Das is a dedicated researcher in the field of nanoscience and technology, specializing in surface engineering of titanium alloys for biomedical applications. Her academic journey and research pursuits reflect a strong commitment to advancing the performance of bio-implant materials through innovative laser-based surface modification techniques. With a robust foundation in chemical engineering and environmental engineering, she bridges the gap between materials science and biomedical engineering. Bipasha’s work combines deep theoretical knowledge with extensive experimental expertise, contributing significantly to the improvement of tribological, corrosion, and biocompatibility properties of titanium-based alloys. She has shared her research at prestigious international conferences and published in high-impact journals, gaining recognition for her scientific contributions.

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Education

Bipasha holds a Ph.D. in Nanoscience and Technology from the Indian Institute of Technology Kharagpur, where her thesis focuses on the “Surface Engineering of Titanium Alloys for Biomedical Applications.” Her doctoral research involves diverse laser processing techniques, including laser surface melting, composite surfacing, shock peening, and hybrid laser processing of Ti6Al4V alloy. She also earned a Master’s degree in Chemical Engineering with a specialization in Environmental Engineering from the University of Calcutta, where she conducted research on photocatalytic degradation of nanocomposite films. Her academic foundation was laid with a Bachelor’s degree in Chemical Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal. This multidisciplinary education has equipped her with strong technical knowledge, analytical skills, and the ability to address challenges at the intersection of materials science, environmental sustainability, and biomedical engineering.

Experience

Throughout her academic and research career, Bipasha has engaged in extensive laboratory work, mastering advanced characterization and testing methods for engineering materials. Her expertise spans metallographic sample preparation, optical microscopy, surface profilometry, X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy, microhardness testing, nanoindentation, electrochemical evaluation, wear testing, and tribocorrosion studies. She has also acquired proficiency in various software tools, data analysis methods, and programming languages, enabling her to interpret experimental results with precision. Her professional experience includes industrial training at reputed companies, where she developed practical knowledge of chemical process operations. Additionally, she has contributed as a speaker at multiple national and international conferences, showcasing her findings to a global scientific community.

Research Interest

Bipasha’s primary research interest lies in enhancing the functional performance of titanium-based alloys for biomedical applications through advanced surface engineering. She focuses on laser-assisted techniques to improve wear resistance, corrosion protection, and biocompatibility of Ti6Al4V alloy implants. Her studies investigate the kinetics and mechanisms of tribo-corrosion, the development of in situ carbide-reinforced titanium matrix composites, and the optimization of surface treatments for long-term implant stability. She is also keenly interested in hybrid laser processing methods that combine mechanical, chemical, and thermal effects to create superior surface properties. Beyond biomedical applications, her background in environmental engineering provides her with an interdisciplinary approach, enabling her to explore sustainable and eco-efficient materials processing.

Awards

Bipasha’s research excellence has been recognized through various academic and professional achievements. She received the Journal of Bio and Tribo-Corrosion (JBTC) award for the best presentation and scientific contribution at the 6th International Conference on Tribo-Corrosion. Her selection as a speaker at numerous international symposia and conferences, including events in the United Kingdom and collaborative Indo-Austrian programs, further demonstrates her prominence in the scientific community. She has also been a recipient of government scholarships in recognition of her academic merit, which has supported her advanced studies and research pursuits.

Publications

Mechanically tailored surface of titanium-based alloy (Ti6Al4V) by laser surface treatment

Authors: Das, B., Srivastava, S. K., Manna, I., & Majumdar, J. D.

Journal: Surface and Coatings Technology

Year: 2024

Studies on Kinetics and Mechanism of Tribo-corrosion of in situ Laser Composite Surfaced Ti6Al4V using diode laser

Authors: Das, B., Srivastava, S. K., Manna, I., & Majumdar, J. D.

Journal: Tribology International

Year: 2025

Conclusion

Bipasha Das exemplifies the qualities of a forward-thinking researcher dedicated to innovation in biomedical materials engineering. Her work in laser-based surface engineering has the potential to significantly impact the design and durability of next-generation bio-implants, offering improved performance and patient outcomes. With her strong academic foundation, cross-disciplinary expertise, and growing international presence, she stands as a promising contributor to both scientific advancement and practical applications in healthcare materials. Her future endeavors are poised to build on her current successes, further bridging the gap between advanced materials processing and biomedical innovation.

Zakiyeh azdanshenas | Qualitative Research | Best Researcher Award

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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.

Lianhong QIU | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Lianhong QIU | Data Analysis | Best Researcher Award

Guangdong Provincial Party School of the CPC | China

Assoc. Prof. Dr. Lianhong Qiu is a distinguished scholar and academic at the Guangdong Provincial Party School of the Communist Party of China (CPC). With a firm grounding in economics and governance, he has cultivated an academic profile that blends theoretical rigor with practical application. His scholarly work addresses the intersections of climate risk, industrial development, and technological transformation, particularly within the context of China’s evolving energy and policy landscape. His research reflects a commitment to exploring actionable solutions that align economic growth with environmental sustainability and energy security.

Professional Profile

SCOPUS

Education

Dr. Qiu earned his Ph.D. in Economics from the prestigious Party School of the Central Committee of the CPC, now recognized as the National Academy of Governance. His academic journey was grounded in comprehensive training in macroeconomics, industrial policy, and state governance, equipping him with the tools to dissect complex systemic interactions within China’s socio-economic framework. This background provided the foundation for his interdisciplinary approach to economic research, incorporating advanced econometric methods, risk analysis, and policy impact evaluation.

Experience

As an Associate Professor at the Guangdong Provincial Party School of the CPC, Dr. Qiu plays a pivotal role in shaping the intellectual discourse on economic transformation and governance. He is actively involved in training government officials and contributing to the academic development of future policy leaders. His teaching covers subjects related to industrial economics, climate economics, and innovation policy, while his administrative contributions support academic research and institutional collaboration. His experience extends beyond academia into policy consultancy, where he offers insights into the real-world implications of emerging economic trends.

Research Interest

Dr. Qiu’s primary research interest lies in industrial economic development, with a strong emphasis on the interface between environmental risks and technological advancement. His recent work addresses the dynamic interactions among climate physical risk (PRI), transition risk (TRI), and new energy vehicle (NEV) adoption in China. By applying time-varying parameter vector autoregression models with stochastic volatility, he introduces innovative tools for quantifying the evolving relationships between these variables. This methodological approach allows for a nuanced understanding of the cause-effect mechanisms underpinning industrial and environmental shifts, especially within the energy and transportation sectors.

He also explores asymmetric impacts and feedback loops—for instance, while physical climate risks may suppress consumer uptake of NEVs, transition-related regulatory pressures tend to encourage their adoption. Additionally, his findings highlight that while NEV growth mitigates physical climate risk, it may also exacerbate transition risk under certain conditions. These insights have significant implications for balancing industrial policy, environmental sustainability, and energy strategy.

Award

Dr. Qiu’s contributions have been recognized within academic and policy-making circles for their methodological sophistication and relevance to contemporary governance challenges. His research has been acknowledged for its impact on policy design and strategic planning in the field of green transition and industrial transformation. By offering empirical insights that align with China’s dual-carbon goals, his work is instrumental in shaping regional and national strategies for green innovation, energy resilience, and climate adaptation.

Publication

How do climate risks intersect with the rise of new energy vehicles in China?

  • Authors: Qiu, LH; Wong, XQ; (…); Song, YB

  • Journal: Economic Analysis and Policy

  • Year: 2025

The essential role of big data: Could it effectively mitigate non-performing loans?

  • Authors: Qiu, LH; Su, HD; (…); Qin, M

  • Journal: Romanian Journal of Economic Forecasting

  • Year: 2024

Are there digital tech bubbles in China?

  • Authors: Qin, M; Su, CW; (…); Lobont, OR

  • Journal: Technological and Economic Development of Economy

  • Year: 2024

Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective

  • Authors: Wang, KH; Kan, JM; (…); Xu, SL

  • Journal: Economic Analysis and Policy

  • Year: 2023

The inevitable role of El Nino: A fresh insight into the oil market

  • Authors: Qin, M; Qiu, LH; (…); Jiao, W

  • Journal: Economic Research – Ekonomska Istraživanja

  • Year: 2020

Conclusion

Assoc. Prof. Dr. Lianhong Qiu stands out as a dynamic scholar whose interdisciplinary expertise contributes to the evolving discourse on sustainable industrial development in China. Through innovative methodological approaches, empirical rigor, and a strong commitment to real-world impact, he addresses pressing challenges at the nexus of climate change, economic transition, and technological innovation. His work not only advances academic thought but also provides actionable guidance for policymakers navigating the complexities of green growth and energy transformation. As China and the world face intensifying climate and energy challenges, Dr. Qiu’s research continues to offer vital pathways for aligning economic prosperity with environmental stewardship.

Desmond Bartholomew | Wavelet based analysis | Young Scientist Award

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Mr. Desmond Bartholomew | Wavelet based analysis | Young Scientist Award

Federal University Of Technology Owerri | Nigeria

Author  Profile

Scopus

orcid

Google Scholar

Early Academic Pursuits

Mr. Desmond Bartholomew began his academic journey with a Bachelor of Technology in Statistics from the Federal University of Technology, Owerri (FUTO), Nigeria, where he graduated with First Class honors. His undergraduate thesis addressed the Estimation of Nonorthogonal Problem Using Time Series Dataset, laying a strong foundation in quantitative modeling and time series analysis. He pursued his postgraduate studies at the University of Port Harcourt, earning a Master of Science in Statistics. His master’s thesis investigated the Effects of Maternal Education, Weight, and Age on Child Birth Weight in Nigeria, reflecting an early focus on public health data analysis.

Professional Endeavors

Mr. Bartholomew’s career reflects a dynamic mix of academic, research, and industry experience. He currently serves as an Assistant Lecturer in the Department of Statistics at FUTO, where he plays an active role in teaching, supervising projects, and supporting graduate seminars. He also holds the position of Facilitator and Trainer at the Centre of Excellence in Sustainable Procurement, Environmental and Social Standards (CESPESS), where he imparts practical statistical training for both undergraduate and postgraduate students.

Earlier, he worked as a Graduate Assistant in the same department, where he was instrumental in curriculum development, statistical consulting, and creating course materials in R and Python. In the corporate sector, Mr. Bartholomew served as a Management Information Systems Analyst at Leadway Assurance Company, contributing to data visualization, Power BI dashboard creation, and business intelligence reporting.

Contributions and Research Focus

Mr. Bartholomew’s research interests intersect statistical modeling, data science, machine learning, environmental statistics, engineering applications, and public health analytics. His published works showcase applications of wavelet transforms, Bayesian inference, experimental design, and artificial intelligence in solving contemporary issues in finance, community health, and engineering. His publications span high-impact journals including Annals of Data Science, Earth Science Informatics, and the CBN Journal of Applied Statistics.

Impact and Influence

Mr. Bartholomew’s influence is evident through his cross-disciplinary collaborations, involvement in international conferences, and active membership in professional bodies such as the Professional Statisticians’ Society of Nigeria and Data Science Network, Nigeria. His commitment to data-driven decision-making and capacity building is shaping the next generation of statistical and data science professionals in Nigeria. He also contributes to administrative and strategic planning roles at FUTO, enhancing both departmental and institutional functions.

Academic Citations

Mr. Bartholomew’s research output is indexed on Google Scholar, ResearchGate, SCOPUS, and Web of Science, providing global access to his work. His publications are increasingly cited in areas like applied statistics, machine learning, and environmental health, marking his growing reputation within the academic and professional data science community.

Technical Skills

Mr. Bartholomew possesses advanced technical competencies in R, Python, Power BI, and QlikView, with hands-on experience in data visualization, machine learning modeling, and multivariate analysis. His ability to integrate statistical knowledge with modern tools equips him to manage complex datasets and generate actionable insights. He also holds certifications in web programming, environmental standards, and data science from global platforms like DataCamp and institutions like HIIT Nigeria.

Teaching Experience

His teaching portfolio includes a wide range of undergraduate and postgraduate statistics courses, such as Descriptive Statistics, Probability Theory, Statistical Inference, Biostatistics, Experimental Design, Multivariate Methods, and Bayesian Inference. He has also developed and led modules in R programming, data cleaning, and survey analysis, often merging theoretical knowledge with real-world applications.

Legacy and Future Contributions

Mr. Bartholomew has taken up several leadership roles including serving as the President of the 2015 Alumni Association, Timetable Officer, and Website Desk Officer for the Department of Statistics at FUTO. He is deeply involved in mentoring students, shaping academic policy, and enhancing technological integration within the university. His recent recognition for the Best Research Publication in 2024 highlights his dedication to excellence in scholarly communication. With a clear vision for advancing evidence-based policymaking through data, Mr. Bartholomew is poised to contribute significantly to both national and international research landscapes.

Publication

Optimizing Nigerian Bank Lending Systems: The Power of Discrete Wavelet Transform (DWT) in Denoising and Regression Analysis

Authors: C. J. Ogbonna, C. J. Ohabuka, D. C. Bartholomew, K. E. Anyiam, I. Adamu
Journal: Annals of Data Science
Year: 2025

Modeling the Geotechnical Properties of Small Soil Samples of Oil Polluted Soil: The Power of Supervised Machine Learning Models

Authors: A. N. Nwachukwu, D. C. Bartholomew
Journal: Soil and Sediment Contamination
Year: 2024

Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series

Authors: Desmond Chekwube Bartholomew, Chrysogonus Chinagorom Nwaigwe, Ukamaka Cynthia Orumie, Godwin Onyeka Nwafor
Journal: Annals of Data Science
Year: 2024

A Monte Carlo Simulation Comparison of Methods of Detecting Outliers in Time Series Data

Authors: Desmond C. Bartholomew
Journal: Journal of Statistics Applications & Probability
Year: 2022

Classical and Machine Learning Modeling of Crude Oil Production in Nigeria: Identification of an Eminent Model for Application

Authors: C. P. Obite, A. Chukwu, D. C. Bartholomew, U. I. Nwosu, G. E. Esiaba
Journal: Energy Reports
Year: 2021