Razieh Sadraei | Agricultural Innovation | Best Researcher Award

Dr. Razieh Sadraei | Agricultural Innovation | Best Researcher Award

Dr. Razieh Sadraei, Coventry University, United Kingdom

Dr. Razieh Sadraei, PhD, SFHEA, is an accomplished academic and international researcher specializing in international entrepreneurship, strategic capabilities, and SME internationalization. Currently serving as a Lecturer (Research) at Coventry University’s Centre for Business in Society (CBiS), she brings over a decade of dynamic teaching, research, and academic service experience across Europe, the Middle East, and Africa. Dr. Sadraei’s multifaceted career is defined by her commitment to enhancing entrepreneurial ecosystems, especially in underrepresented and disadvantaged contexts, and contributing actively to knowledge sharing through global collaborations, leadership roles, and impactful publications.

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Education πŸŽ“

Dr. Sadraei’s academic journey reflects deep international and interdisciplinary grounding. She earned her Ph.D. from the University of Turin, Italy (2019) under a fully funded scholarship, where her research laid the foundation for her ongoing interest in entrepreneurial ecosystems. Prior to this, she completed her M.Sc. at Azad University in Iran (2015) and her B.Sc. at Hamedan University of Technology (2013). Her strong academic credentials across multiple countries have provided a broad and diverse perspective on business education and research.

Experience 🧠

Spanning over ten years, Dr. Sadraei’s academic appointments reflect her growth through progressive roles in education and research. At Coventry University, she transitioned from Assistant Lecturer to Research Lecturer and has held multiple leadership roles including Course Co-Director and Research Ethics Committee Associate Director. She has taught at Aston University, Kingston University, University of Wolverhampton, and University of Turin, and has contributed as an adjunct professor and dissertation supervisor globally. Her visiting researcher roles in Kenya and Canada underscore her global academic footprint and interdisciplinary collaborations. Additionally, she is a frequent mentor and examiner, reflecting her dedication to supporting emerging scholars.

Research Interests πŸ”

Dr. Sadraei’s research explores the intersections of international entrepreneurship, SME internationalization, innovation networks, digital transformation, and gender in business. Her work often focuses on marginalized and underrepresented contextsβ€”like women-led start-ups and deprived areasβ€”using qualitative and mixed methods. Her recent studies examine how cognitive, cultural, and digital factors influence business internationalization and how entrepreneurial ecosystems evolve in response to disruptive trends such as the metaverse and sustainability transitions. Her contributions provide novel insights into inclusive and technology-driven growth for small businesses.

Awards and Honors πŸ†

Dr. Sadraei’s academic excellence has been recognized internationally. In 2025, she was honored with the Best Paper Award at the Academy of Management (AOM) Annual Meeting in Copenhagen. A year earlier, she received the Literati Award for Outstanding Reviewer from the Journal of Information and Knowledge Management Systems, a testament to her scholarly rigor and contribution to academic peer review. Her academic service, leadership, and innovative research continue to earn her accolades and peer recognition.

Publications Top Note πŸ“š

Family Dynamics and Relationships in Female Entrepreneurship: An Exploratory Study

Authors: S. Dewitt, V. Jafari-Sadeghi, A. Sukumar, R. Aruvanahalli Nagaraju, R. Sadraei
Journal: Journal of Family Business Management, Vol. 13(3), pp. 626–644, 2023
Citations: 77
Summary:
This study explores how family relationships shape and influence female entrepreneurship, focusing on both enablers and constraints. The findings emphasize the pivotal role of family support, intergenerational values, and role modeling, while also discussing challenges such as gender roles and familial expectations. It offers valuable insights into the dynamics of family-influenced entrepreneurial decision-making.

How to Increase Sustainable Production in the Food Sector? Mapping Industrial and Business Strategies and Providing Future Research Agenda

Authors: R. Sadraei, P. Biancone, F. Lanzalonga, V. Jafari‐Sadeghi, F. Chmet
Journal: Business Strategy and the Environment, Vol. 32(4), pp. 2209–2228, 2023
Citations: 60
Summary:
This paper investigates strategies to boost sustainable production in the food industry. Using a systematic literature review and industry mapping approach, it identifies best practices, barriers, and enablers. The authors propose a research agenda that emphasizes innovation, circular economy, and regulatory compliance as core elements for sustainability advancement.

Metaverse Meets Digital Entrepreneurship: A Practitioner-Based Qualitative Synthesis

Authors: D. Calandra, M. Oppioli, R. Sadraei, V. Jafari-Sadeghi, P.P. Biancone
Journal: International Journal of Entrepreneurial Behavior & Research, Vol. 30(2/3), pp. 666–686, 2023
Citations: 55
Summary:
The article synthesizes practitioner perspectives on the metaverse’s impact on digital entrepreneurship. It identifies key themes such as immersive marketing, virtual marketplaces, and new business models enabled by XR technologies. The research highlights challenges like digital literacy and data security while framing a strategic outlook on the metaverse economy.

Dynamic Performance Development of Entrepreneurial Ecosystem in the Agricultural Sector

Authors: M. Hosseinzadeh, M. Samadi Foroushani, R. Sadraei
Journal: British Food Journal, Vol. 124(7), pp. 2361–2395, 2022
Citations: 53
Summary:
This article evaluates how entrepreneurial ecosystems evolve within the agricultural sector. Using dynamic modeling, the study identifies key performance indicators including innovation, support infrastructure, and financial mechanisms. It concludes with policy implications to enhance sustainability and innovation in agri-entrepreneurship.

What Are the Fundamental Knowledge-Sharing Drivers of Small Family Business in the Restaurant and Fast-Food Industry?

Authors: M. Rezaei, G. Giovando, R. Sadraei
Journal: British Food Journal, 2022
Citations: 50
Summary:
This research identifies the core drivers that facilitate knowledge sharing in small, family-run restaurants. It emphasizes trust, family cohesion, and informal communication structures as critical enablers, and proposes a conceptual model to guide managerial practices in the foodservice industry.

Biotechnology Revolution from Academic Entrepreneurship to Industrial: Chemo-Entrepreneurship

Authors: R. Sadraei, V. Jafari Sadeghi, M. Sadraei
Journal: Biometrics & Biostatistics International Journal, Vol. 7(6), pp. 546–550, 2018
Citations: 48
Summary:
The article discusses the transition of biotech innovations from academia to industry, focusing on chemo-entrepreneurship. It outlines the challenges of commercialization and proposes a roadmap involving university-industry collaboration, IP management, and entrepreneurial education in biotech fields.

Conclusion πŸ”š

Dr. Razieh Sadraei is a trailblazing academic committed to advancing inclusive and sustainable international entrepreneurship. Her rich blend of research, teaching, and leadership experience, paired with a strong global orientation, positions her as a significant thought leader in her field. Through her work, she not only contributes to scholarly knowledge but also fosters meaningful change in the entrepreneurial landscapes of emerging and underrepresented regions. Her ongoing projects and publications continue to shape conversations around innovation, digitalization, and global business growth.

Prakhar Singh | Radiation Physics | Best Researcher Award

Mr. Prakhar Singh | Radiation Physics | Best Researcher Award

Research Scholar, Gurukula Kangri (Deemed to be University), India

Prakhar Singh is an emerging expert in radiological applications with specialized training as a Radiological Safety Officer under the Department of Atomic Energy, Government of India. With a strong academic foundation in physics and atmospheric sciences, he is driven by a commitment to public safety, radiological research, and environmental health. His extensive field and laboratory experience in radiation mapping, radionuclide analysis, and public health risk assessments across the Indian Himalayas have earned him distinction among early-career radiation professionals. He is recognized for his contributions to radiation dosimetry and radon-thoron exposure studies and continues to champion nuclear safety through both academic and applied research.

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πŸŽ“ Education

Prakhar Singh is currently in the final phase of his Ph.D. in Physics at Gurukula Kangri (Deemed to be University), Haridwar. His thesis focuses on a comprehensive study of radon and thoron attributable radiological parameters and associated health risks in Haridwar, Uttarakhand. This includes the measurement of background radiation levels, radionuclide mapping in the Himalayan foothills, and evaluation of exposure through groundwater, soil, and building materials. He also holds a Master’s degree in Atmospheric Physics from the same university. Complementing his formal education are international training programs, such as the ICTP-IAEA School on Nuclear Security in Italy and specialized courses in remote sensing for agricultural radiation studies.

πŸ’Ό Experience

Prakhar has served as a Research Fellow at the Uttarakhand Science Education and Research Centre, Dehradun, from 2018 to 2021, where he led nuclear field studies, coordinated lab instrumentation for radiological measurements, and supervised extensive data analysis using GIS, Monte Carlo simulations, and R programming. Before this, he was a Technical Assistant at the Government Post Graduate College, New Tehri. Currently, he serves as a Radiological Safety Officer in the Radiological Applications sector under the Department of Atomic Energy, Government of India. His field experience includes radionuclide sampling and public exposure analysis in the Great Indian Himalayas.

πŸ”¬ Research Interests

Prakhar’s primary research interests include indoor and outdoor radon/thoron dynamics, dosimetric risk assessments, natural radioactivity mapping, and radon exhalation from geological and anthropogenic materials. He focuses on understanding the correlation between environmental parameters and radiation exposure, along with modeling radiological hazards. His multidisciplinary approach integrates nuclear physics, geosciences, public health, and environmental engineering, aiming to reduce exposure risks and improve community safety in radiation-prone regions.

πŸ… Awards and Honors

  • 🧠 INSPIRE Fellowship by the Government of India (2011), awarded for academic excellence and research potential in the field of natural sciences.

  • πŸŽ“ Selected participant at the Joint ICTP-IAEA International School on Nuclear Security, Trieste, Italy (2024).

  • 🌍 Recognized contributor in multiple international conferences on radiation safety, climate impact, and environmental physics.

πŸ“š Publications Top Note

Annual effective dose assessment of radon concentration in spring and groundwater for the population of Devprayag region in Uttarakhand Garhwal Himalayas
Applied Radiation and Isotopes, 2025
➀ This study evaluates the health risks associated with radon exposure through drinking water sources in Devprayag. It provides dose estimations for different demographic groups and suggests public safety interventions.

Correlational Study of Naturally Occurring Radionuclides with Radon and Thoron Exhalation Rates in Pithoragarh District of Central Himalayas
Applied Radiation and Isotopes, April 2025
➀ DOI: 10.1016/j.apradiso.2025.111882
➀ This article explores the complex relationship between naturally occurring radionuclides and the exhalation behavior of radon and thoron. It provides insights into region-specific soil characteristics and their radiological implications.

Measurement of indoor radioactivity and dose derived from ²²²Rn, ²²⁰Rn and EECs by using SSNTD based technique
Radiation Protection Dosimetry, July 2024
➀ DOI: 10.1093/rpd/ncad321
➀ This publication presents quantitative indoor radioactivity measurements using solid-state nuclear track detectors. It evaluates exposure to radon and thoron decay products, offering guidance for improving ventilation practices in Himalayan dwellings.

🧾 Conclusion

Prakhar Singh stands out as a dynamic professional at the intersection of radiological physics and public safety. His scholarly and technical contributions to understanding natural radiation exposureβ€”especially in ecologically sensitive and seismically active zonesβ€”underscore his commitment to both science and society. His growing research impact, with an h-index of 7 and over 140 citations, reflects not only academic excellence but also a strong orientation toward practical solutions in radiation monitoring and health protection. As he continues to evolve as a leader in radiological safety, his work promises to contribute meaningfully to India’s nuclear safety architecture and global radiation protection initiatives. 🌏

Chao Deng | Autonomous Driving | Best Researcher Award

Prof. Dr. Chao Deng | Autonomous Driving | Best Researcher Award

Professor, Wuhan University of Science and Technology, China

Chao Deng is a dedicated and innovative academic currently serving as an Associate Professor at the School of Automobile and Traffic Engineering, Wuhan University of Science and Technology. His work centers on traffic and transportation engineering, with a focus on integrating human factors into intelligent transport systems. In addition to his professorial duties, he holds several significant administrative and academic roles, including Director of the Intelligent Automobile Engineering Research Institute and Deputy Director of the Department of Transportation and Logistics Engineering. His research contributions span cognitive ergonomics, connected vehicle technology, and driving behavior modeling, establishing him as a forward-thinking contributor to transportation science in China and beyond.

πŸ“ Profile

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πŸŽ“ Education

Chao Deng earned his Ph.D. in Traffic and Transportation Engineering from Wuhan University of Technology in June 2019, where he laid the foundation for his future in cognitive and intelligent transportation studies. During his doctoral training, he participated in a joint Ph.D. program in System Design at the University of Waterloo, Canada, in December 2018. This international academic exposure enriched his technical perspectives and helped him gain a more holistic understanding of global transportation system dynamics, particularly in human-computer interaction and automated vehicle systems.

πŸ’Ό Experience

Since joining Wuhan University of Science and Technology in 2019, Chao Deng has advanced through various academic ranks, starting as a Lecturer and progressing to Associate Professor by December 2020. His influence expanded further as he took on leadership roles such as Director of the Intelligent Automobile Engineering Research Institute and Deputy Director of his department. His experience also includes serving on national academic committees, where he contributes to shaping the future of transportation research in China. His role as an Invited Reviewer and committee member highlights his recognition in scholarly circles and his commitment to academic excellence and mentorship.

πŸ”¬ Research Interest

Chao Deng’s research interests are deeply rooted in the development and refinement of intelligent transportation systems, with a specific focus on the human element in automated and connected environments. He investigates cognitive modeling, driver performance, and mental workload in vehicular contexts. His work often explores how human-computer interaction can be optimized in connected and automated vehicle (CAV) scenarios, aiming to improve safety, efficiency, and user experience. Traffic simulation, human factors, and cognitive ergonomics also form core pillars of his research, as he strives to bridge the gap between emerging technologies and practical roadway implementation.

πŸ“š Publication Top Notes

Lee, S., Gong, Y., & Deng, C. (2025). “Counterfactual experience augmented off-policy reinforcement learning.” Neurocomputing, 541, Article 130017. [DOI: 10.1016/j.neucom.2025.130017]
Summary: This paper proposes a novel reinforcement learning frameworkβ€”Counterfactual Experience Augmented (CEA) learningβ€”designed to address the limitations of traditional off-policy learning by generating enriched experience through counterfactual inference. Using variational autoencoders and bisimulation metrics, the method improves performance in environments with limited exploration efficiency and non-stationary dynamics.

Cheng, M., Yan, Y., Han, Y., Lei, H., & Deng, C. (2024). “Adaptive machine learning algorithm for human target detection in IoT environment.” Computing, 106, 1061–1079. [DOI: 10.1007/s00607-022-01123-z]
Summary: This study develops an adaptive machine learning algorithm aimed at improving pedestrian detection in intelligent transportation systems. By fusing data from roadside and onboard sensors and applying Kalman filtering and fuzzy association techniques, the model significantly enhances trajectory prediction accuracy for collision avoidance in IoT-based traffic scenarios.

Yan, Y., Deng, C., Ma, J., Wang, Y., & Li, Y. (2023). “A traffic sign recognition method under complex illumination conditions.” IEEE Access, 11, 3266825. [DOI: 10.1109/ACCESS.2023.3266825]
Summary: This article introduces a robust traffic sign recognition method tailored for complex lighting environments. It combines an adaptive image enhancement algorithm with a lightweight attention mechanismβ€”Feature Difference (FD) moduleβ€”within CNNs, resulting in enhanced detection performance and computational efficiency for autonomous driving systems.

Deng, C., Cao, S., & Niu, J. (2021). “An experimental investigation of novice and experienced drivers’ car following task performance on snowy road.” Proceedings of the 6th International Conference on Transportation Information and Safety (ICTIS), 593–598. [DOI: 10.1109/ICTIS54573.2021.9798681]
Summary: This experimental research investigates how driving experience affects car-following behavior on snow-covered roads. Comparing novice and experienced drivers, the study highlights distinct differences in following distance and reaction patterns, providing foundational insights for adaptive safety systems and driver training under winter conditions.

βœ… Conclusion

Chao Deng stands as a leading figure in transportation research, particularly where engineering intersects with human cognition and behavior. His multidisciplinary approach, combining rigorous technical expertise with an acute understanding of human dynamics, makes his work highly relevant in the age of automated and intelligent transportation systems. Through impactful research, influential publications, and dedicated service, he continues to shape the future of traffic engineering and transportation safety, both in China and internationally. His contributions not only advance academic discourse but also influence practical applications in real-world mobility systems.

Dong Kwon | Microbiology | Best Researcher Award

Dr. Dong Kwon | Microbiology | Best Researcher Award

Professor, Long Island University, United States

Professor Dong H. Kwon is a distinguished academic and research scientist in the field of microbiology and biochemistry, currently serving as a Full Professor at the Department of Natural and Life Sciences at Long Island University, Brooklyn, New York. His academic and professional journey spans over four decades, with influential contributions to the study of antibiotic resistance, microbial genetics, and infectious diseases. Professor Kwon’s pioneering research has earned international acclaim, with a dedicated focus on mechanisms of drug resistance in Helicobacter pylori and other bacterial pathogens. He has served in various academic and leadership capacities across prestigious institutions in South Korea and the United States, and continues to shape the scientific community through research, teaching, and service.

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Scholar

Education πŸŽ“

Professor Kwon earned his B.S. and M.S. degrees in Biology from Kangwon National University in South Korea between 1978 and 1987, with an interlude for military service from 1982 to 1984. He pursued doctoral studies in the United States, receiving his Ph.D. in Biology/Biochemistry from Georgia State University in 1995. His postdoctoral training in microbiology was completed at Baylor College of Medicine, further solidifying his expertise in the field. This solid academic foundation has empowered him to conduct research that bridges fundamental biology with translational medicine.

Experience πŸ’Ό

Professor Kwon’s professional journey began as an instructor at Kangwon National University, followed by research assistant work during his Ph.D. program at Georgia State University. He held several research and teaching roles at Baylor College of Medicine, including Lab Director, Instructor, and Assistant Professor, where he contributed significantly to understanding antimicrobial resistance. He joined Long Island University in 2007 as an Assistant Professor and rose through the ranks to become Full Professor. He has held numerous service roles at LIU, including Chair and Co-Chair of key departmental and university committees, General Biology Course Coordinator, and advisor for both undergraduate and graduate initiatives. His dedication to education and academic governance has made a lasting impact on institutional growth.

Research Interest πŸ”¬

Professor Kwon’s primary research interests lie in microbial pathogenesis and antibiotic resistance. His work on H. pylori has elucidated mechanisms underlying metronidazole resistance, regulatory gene repression, and the genomic characterization of resistance-conferring genes. Beyond H. pylori, he has studied antibiotic sensitization in multi-drug resistant organisms like Acinetobacter baumannii and Staphylococcus aureus. His current research focuses on synergistic effects of natural compounds such as glutathione and epigallocatechin-3-gallate (EGCG) with conventional antibiotics, exploring novel approaches to combat multidrug-resistant pathogens. His investigations utilize molecular cloning, transcriptomic analysis, and bioinformatics to advance therapeutic strategies.

Awards πŸ†

Professor Kwon has received numerous accolades for his scholarly contributions. He won the Young Scientist Award at the Xth International Workshop on H. pylori in Lisbon (1997), and Best Paper Awards at international conferences in Florida and Japan (1999). He was also awarded a Travel Grant by the American Society for Cell Biology in 2009. His innovative work earned him a U.S. Patent in 2007 for the “Use of Polyamines with Antibiotics.” These honors underscore his global recognition and scientific excellence.

Publication Top Note πŸ“š

Kwon DH, Lu CD. Polyamines induce resistance to cationic peptide, aminoglycoside, and quinolone antibiotics in Pseudomonas aeruginosa PAO1. Antimicrob Agents Chemother. 2006;50:1615–22. β€” This study revealed how polyamines trigger antibiotic resistance mechanisms in P. aeruginosa, contributing to the understanding of cellular stress responses. (Cited by 250+ articles)

Kwon DH, Lu CD. Polyamines increase antibiotic susceptibility in Pseudomonas aeruginosa. Antimicrob Agents Chemother. 2006;50:1623–7. β€” This complementary paper reported paradoxical effects where polyamines can also increase susceptibility under certain conditions. (Cited by 200+ articles)

Kwon DH, Lu CD. Polyamine effects on antibiotic susceptibility in bacteria. Antimicrob Agents Chemother. 2007;51:2070–7. β€” This expanded the scope to other bacteria, showing polyamines’ dual role in antibiotic resistance/susceptibility. (Cited by 180+ articles)

Chou HT, Kwon DH, Hegazy M, Lu CD. Transcriptome Analysis of Agmatine-Stimulated Antibiotic Susceptibility in Pseudomonas aeruginosa. β€” This advanced transcriptomic analysis provided insights into gene expression modulation by agmatine.

Kwon DH, et al. Natural Transmission of Acquired-Multidrug Resistant Helicobacter pylori. Presented at the 8th Japanese Society for Helicobacter Research, 2002. β€” This presentation and its associated publication highlighted public health implications of resistance gene transmission.

Kwon DH, et al. Mechanism of metronidazole resistance in Helicobacter pylori. European H. pylori Workshop, 1999. β€” A foundational work on the gene-level regulation of resistance. (Cited widely in drug development research)

Kwon DH, Lu CD. Use of Polyamines with Antibiotics. U.S. Patent No. 11/420,671 (2007). β€” This practical outcome of his research has been a basis for therapeutic innovation in treating resistant infections.

Conclusion🧾

Professor Dong H. Kwon stands as a pillar in the field of microbiology, having merged rigorous research with impactful teaching and scientific service. His sustained focus on antibiotic resistance mechanisms, leadership in curriculum and personnel development, and consistent scholarly output have significantly advanced microbiological science. With a global academic footprint and a commitment to mentoring the next generation of scientists, Professor Kwon exemplifies excellence in biomedical research and education.

Yuehong Ma | non-traditional machining | Best Researcher Award

Mr. Yuehong MA | non-traditional machining | Best Researcher Award

Ph.D at Nanjing University of Aeronautics and Astronautics, China

Yuehong MA is a dedicated Ph.D. candidate at Nanjing University of Aeronautics and Astronautics, specializing in electrochemical discharge machining (ECDM) and hybrid machining technologies. His research focuses on advancing non-traditional machining methods for improved precision and efficiency in manufacturing. Despite being in the early stages of his academic career, he has published five SCI/Scopus-indexed journal articles in reputed international journals and holds eight patents (published or under process), reflecting a strong commitment to innovation. With a citation count of 33 and an h-index of 3, his work is gaining recognition within the research community. Additionally, his involvement in two consultancy/industry projects demonstrates the practical relevance of his research. Yuehong MA’s contributions to process development and optimization in advanced manufacturing position him as a promising young researcher. His achievements highlight strong potential for future impact in the field, making him a deserving candidate for the Best Researcher Award.

Professional ProfileΒ 

Scopus Profile

Education

Yuehong MA began his academic journey at Shandong University of Technology, where he completed his bachelor’s degree in 2020. Demonstrating a keen interest in engineering and manufacturing technologies, he advanced to pursue his doctoral studies at the prestigious Nanjing University of Aeronautics and Astronautics (NUAA). As a Ph.D. candidate, Yuehong has immersed himself in the field of mechanical and manufacturing engineering, with a particular focus on non-traditional machining processes. His educational background has provided a solid theoretical and technical foundation, equipping him with the skills to tackle complex engineering problems through innovative research. Throughout his academic training, he has been consistently driven by curiosity and a desire to contribute meaningfully to the scientific community. His progression from undergraduate to doctoral research highlights a clear trajectory of academic excellence, technical competency, and strong commitment to specialized knowledge in advanced manufacturing technologies.

Professional Experience

Although still pursuing his Ph.D., Yuehong MA has gained notable professional and research experience, particularly through his involvement in practical and industry-relevant projects. He has contributed to two consultancy or industry-sponsored research projects, which have allowed him to apply his knowledge of electrochemical and hybrid machining techniques in real-world settings. These projects have enhanced his problem-solving abilities and understanding of the industrial challenges related to precision machining. In addition, Yuehong has published five articles in SCI/Scopus-indexed journals, positioning him as a credible contributor to academic discourse in his field. His ability to translate complex research ideas into practical applications demonstrates a maturity and professionalism beyond his years. Furthermore, his patent portfolioβ€”comprising eight innovations either published or in processβ€”shows his entrepreneurial mindset and drive for innovation. While he may not yet have formal employment experience beyond academia, his extensive engagement in applied research strongly complements his academic background.

Research Interest

Yuehong MA’s primary research interests lie in the domain of non-traditional machining, with a special focus on electrochemical discharge machining (ECDM) and hybrid processes. His work centers on optimizing and innovating machining technologies for precision manufacturing, which are crucial in industries such as aerospace, biomedical, and microelectronics. His research explores the integration of electrochemical and mechanical processes to overcome limitations in traditional methods, particularly when working with hard-to-machine materials. Yuehong aims to enhance machining accuracy, surface quality, and material removal rates through advanced process control and novel tool designs. His interdisciplinary approach involves a combination of materials science, electrochemistry, and mechanical engineering principles, which he applies to develop new solutions for high-precision manufacturing challenges. His contributions not only address theoretical gaps but also offer practical benefits for industrial applications. This focus on bridging the gap between science and application makes his research both innovative and highly relevant.

Award and Honor

Yuehong MA has already achieved several notable milestones as a young researcher. While specific academic awards or honors are not listed in the nomination form, his accomplishments themselves are indicators of his excellence. Publishing five SCI/Scopus-indexed journal papers as a Ph.D. candidate is a significant academic feat, especially in high-impact journals such as the Journal of Manufacturing Processes and The International Journal of Advanced Manufacturing Technology. In addition to his academic publications, Yuehong’s eight patents (either published or in process) represent a strong portfolio of innovation, reflecting both originality and application-oriented research. His early citation metricsβ€”33 citations and an h-index of 3β€”underscore the growing recognition of his work within the scientific community. These achievements position him as a rising star in the field of advanced machining, and he is well-deserving of further accolades such as the Best Researcher Award, which would validate and encourage his ongoing contributions to engineering research.

Conclusion

Yuehong MA emerges as a highly promising early-career researcher with a focused vision and strong accomplishments in the area of non-traditional machining. His educational journey, from undergraduate studies at Shandong University of Technology to doctoral research at NUAA, reflects consistent dedication to technical excellence. Professionally, he has demonstrated the ability to translate research into industry-relevant solutions, supported by publications, patents, and consultancy work. His research interests align with current global priorities in precision manufacturing and industrial innovation. While he is still in the early stages of his professional career, his achievementsβ€”particularly in publishing, patent filing, and applied researchβ€”indicate significant potential for long-term impact. Yuehong MA’s profile aligns well with the criteria for the Best Researcher Award, particularly within the scope of early-career recognition. With continued support and opportunity, he is well-positioned to make further contributions that advance both academic knowledge and practical innovation in engineering.

Publications Top Notes

Title: Enhancement of machining performance for electrochemical arc machining (ECAM) of SiCP/Al with arc discharge energy control
Authors: Ma Yuehong, X. L. Fang, Ningsong Qu
Year: 2025

Title: Enhancing the bottom surface flatness of blind holes in electrochemical drilling by optimizing the electric and flow field with discretized electrode
Authors: Hongzhou Li, Chunyang Wang, Qingqing Yu, Zhan Cao, Ma Yuehong, X. L. Fang
Year: 2024

Title: Macro electrochemical milling and its hybrid variants
Authors: Ningsong Qu, X. L. Fang, Junzhong Zhang, Huanghai Kong, Yang Liu, Minglu Wang, Xiaokang Yue, Ma Yuehong, Zhihao Shen, Jiajie Chen
Year: 2023
Citation: 1

Title: Electrochemical discharge machining grooves without recast layer in 20 wt% NaCl solution
Authors: Ma Yuehong, Ningsong Qu, Xiaokang Yue, Yang Liu
Year: 2022
Citation: 10

Title: Experimental investigation of rotary sinking electrochemical discharge milling with high-conductivity salt solution and non-pulsed direct current
Authors: Xiaokang Yue, Ma Yuehong, Ningsong Qu, Hansong Li
Year: 2022
​

Ali Oter | Artificial Intelligence | Best Researcher Award

Assist. Prof. Dr. Ali Oter | Artificial Intelligence | Best Researcher AwardΒ 

Assist. Prof. Dr. Ali Oter, Kahramanmaras Sutcu Imam University, Turkey

Ali Γ–ter is a dedicated scholar and interdisciplinary researcher specializing in Electrical and Electronics Engineering, Biomedical Engineering , and Artificial Intelligence . He holds academic positions at both the Department of Electronics and Automation at Kahramanmaras Sutcu Imam University and the Department of Energy Systems Engineering at Gazi University. His work bridges foundational engineering with advanced computational intelligence, with key interests in sustainable and smart energy systems , solar PV technologies, machine learning , explainable artificial intelligence (XAI), and big data analytics. Dr. Γ–ter’s career reflects a strong commitment to integrating innovative AI methodologies with practical applications in technology and healthcare.

Profile

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Education πŸŽ“

Dr. Γ–ter earned his Ph.D. in Electrical and Electronics Engineering from Kahramanmaras Sutcu Imam University in 2016. During his doctoral studies, he focused on the development of intelligent systems and analytical models for use in complex engineering tasks. His academic training provided a solid foundation in electronic circuit design, signal processing, and algorithmic modeling πŸ”§, which naturally evolved into the adoption of AI-driven solutions. The combination of rigorous engineering education and modern computational approaches shaped his ability to address multi-domain challenges with high technical precision and scientific depth.

Experience 🏒

Professionally, Dr. Γ–ter has served as a faculty member in both electronics and energy engineering departments, contributing significantly to curriculum development and academic mentorship. At Kahramanmaras Sutcu Imam University, he teaches and guides students in automation systems, embedded technologies, and AI integration. At Gazi University, his research focuses on the optimization of energy systems and renewable energy forecasting using artificial intelligence. He also collaborates on interdisciplinary projects that explore AI applications in biomedicine, such as diagnostic modeling and medical data interpretation. Through these roles, he has cultivated a balance between theoretical instruction and impactful applied research, engaging with industrial stakeholders and academic peers alike.

Research Interests πŸ€–

Dr. Ali Γ–ter’s research focuses on the integration of artificial intelligence with engineering and biomedical applications. His work explores the practical use of machine learning and deep learning techniques for solving complex problems in energy systems, medical diagnostics, and intelligent automation. He is particularly interested in explainable artificial intelligence (XAI) methods, which aim to provide transparency and interpretability in AI-driven healthcare solutions. Dr. Γ–ter also investigates the optimization of sustainable energy systems, with a specific focus on solar photovoltaic (PV) systems, as well as the application of AI in the modeling and simulation of semiconductor devices and materials. Additionally, his research includes the exploration of data mining and big data analytics to enhance decision-making in technological and biomedical fields.

Publication Top Note πŸ“„

Artificial intelligence-driven data generation for temperature-dependent current-voltage characteristics of diodes
FlatChem – Chemistry of Flat Materials, 2025. DOI: 10.1016/J.FLATC.2025.100847
Cited by articles focused on AI-based semiconductor modeling .

Deep learning-based LDL-C level prediction and explainable AI interpretation
Computers in Biology and Medicine, April 2025. DOI: 10.1016/j.compbiomed.2025.109905
Referenced in biomedical AI studies for cholesterol prediction.

An artificial intelligence model estimation for functionalized graphene quantum dot-based diode characteristics
Physica Scripta, 2024. DOI: 10.1088/1402-4896/AD3515
Cited in studies related to nanomaterials and AI-based diode simulation.

Explainable artificial intelligence for LDL cholesterol prediction and classification
Clinical Biochemistry, 2024. DOI: 10.1016/J.CLINBIOCHEM.2024.110791
Mentioned in research on XAI and medical diagnostic models.

KardiyovaskΓΌler HastalΔ±klarΔ±n Derin Γ–ΔŸrenme AlgoritmalarΔ± Δ°le TanΔ±sΔ±
Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, December 2024. DOI: 10.29109/gujsc.1506335
Referenced in Turkish-language studies on cardiovascular disease detection using deep learning.

Conclusion 🌟

Ali Γ–ter stands at the intersection of engineering innovation and artificial intelligence application. His multidisciplinary approach has yielded contributions in both theoretical development and practical solutions, particularly in areas like sustainable energy systemsΒ  and medical diagnostics. Through his work, Dr. Γ–ter continues to drive progress in next-generation intelligent systems while fostering academic excellence and technological advancement. His research is not only academically valuable but also socially impactful, addressing real-world challenges with clarity, precision, and foresight.

Hemalatha Somireddi | Materials Science | Best Researcher Award

Assoc. Prof. Dr. Hemalatha Somireddi | Materials Science | Best Researcher AwardΒ 

Associate Professor, Raghu Engineering College, India

Dr. Hemalatha Somireddi is an accomplished academic and researcher in Mechanical Engineering with a specialization in Industrial and Manufacturing Systems. Currently serving as an Associate Professor at Raghu Engineering College, Visakhapatnam, she has consistently contributed to both teaching and applied research in her field. With over 17 years of teaching and industry experience, she is recognized for her expertise in supply chain modeling, performance evaluation of container terminals, and mechanical characterization of materials. Dr. Hemalatha is also an active contributor to academic and professional development through organizing seminars, guiding students, publishing technical papers, and securing patents. Her passion lies in bridging academic research with real-world engineering problems.

Profile

Orcid

Education πŸŽ“

Dr. Hemalatha earned her Ph.D. in Mechanical Engineering from Jawaharlal Nehru Technological University, Kakinada, in 2020, where she focused on performance measurement frameworks for container terminals. She completed her Master’s in Industrial Engineering from Andhra University in 2012 with a CGPA of 8.1. Her undergraduate degree, a B.Tech in Mechanical Engineering, was awarded by JNTU Hyderabad in 2006. Her academic journey began with intermediate education at Guntur Vikas Junior College and SSC from a government high school in Srikakulam, reflecting her strong foundational knowledge and consistent academic performance.

Experience πŸ’Ό

Dr. Hemalatha began her career as a Design Engineer at SBC Naval Dockyard, Visakhapatnam, gaining valuable industrial exposure from 2006 to 2008. Transitioning to academia, she served as an Assistant Professor at various institutions including Sri Gnaneswari Research & Technological Academy and Sri Chaitanya College of Engineering. She later joined Lendi Institute of Engineering & Technology, progressing from Assistant to Associate Professor. Since 2017, she has been associated with the Raghu group of institutions, currently holding the position of Associate Professor at Raghu Engineering College. Her roles have extended beyond teaching to include responsibilities such as R&D coordination, organizing technical seminars, and coordinating accreditation activities.

Research Interests πŸ”¬

Dr. Hemalatha’s research primarily revolves around performance analysis in logistics and manufacturing systems, particularly focusing on container terminal operations, supply chain modeling under fuzzy environments, and multi-criteria decision-making techniques. She also explores material characterization, including hybrid polymer composites, metal matrix composites, and performance enhancement of centrifugal and injection molding systems. Her research reflects a blend of theoretical modeling and practical validation, often incorporating AI-based tools and optimization techniques for manufacturing processes.

Publication Top NoteπŸ“š

β€œSupply chain strategy based supplier evaluation – An integrated framework” (IJMVSC, 2015) – cited for its methodological approach to supplier evaluation.

β€œSupply chain performance evaluation through AHM and membership degree transformation” (Materials Today: Proceedings, 2017) – Scopus Indexed.

β€œModeling and analysis of a four stage supply chain under fuzzy environment” (IJENM, 2018) – recognized for its application of fuzzy logic in logistics modeling.

β€œService quality evaluation and ranking of container terminal operators” (AJSL, 2018) – featured in the Asian Journal of Shipping and Logistics, widely cited in terminal performance literature.

β€œService quality evaluation through AHM and Membership Degree Transformation” (Materials Today: Proceedings, 2019) – frequently referenced in studies on maritime logistics.

β€œDesign, Development and Testing of an Automatic Desktop Injection Molding Machine” (IJARIIT, 2021) – illustrates her interdisciplinary work bridging design and manufacturing.

β€œTechnical Efficiency Evaluation and Ranking of Container Terminal Operators Through DEA” (Materials Today: Proceedings, 2023) – a significant contribution in performance benchmarking.

Conclusion βœ…

Dr. Hemalatha Somireddi has carved a niche for herself in mechanical and industrial engineering through her persistent pursuit of academic excellence, impactful research, and active community engagement. Her work addresses contemporary challenges in manufacturing and logistics, integrating tools like DEA, AHP, and fuzzy logic into performance measurement and evaluation systems. With a forward-looking mindset, she continues to explore innovative methodologies in materials and manufacturing technologies. As a mentor, innovator, and academic leader, she exemplifies the spirit of applied engineering education and research, consistently contributing to the advancement of both her students and the scientific community.

Li Li | Postharvest Biology of Horticultural Crops | Best Innovation Award

Prof. Li Li | Postharvest Biology of Horticultural Crops | Best Innovation AwardΒ 

Professor, Guangxi Academy of Agricultural Sciences, China

Li Li is a seasoned researcher and professor at the Institute of Agro-food Science & Technology, Guangxi Academy of Agricultural Sciences in China 🏒. With nearly two decades of academic and professional experience in food and agricultural product processing πŸπŸ…, she has made impactful contributions to postharvest technology, functional food development, and the study of bioactive compounds πŸ§ͺ🌱. Her work bridges the gap between traditional agricultural practices and modern food science πŸ”¬, enhancing the quality and shelf-life of produce while improving nutritional value πŸ₯¬πŸ“ˆ. A prolific contributor to scientific literature πŸ“–, Li Li is recognized not only for her research output but also for her collaborative, multidisciplinary approach to solving practical agro-food challenges 🀝🌍.

Profile

Scopus

Education πŸŽ“

Li Li began her academic journey at Jiangxi Agricultural University πŸŽ’, earning her Bachelor’s degree in 2007 with a focus on agricultural product processing 🌾. Driven by a strong passion for food science, she advanced her studies at South China Agricultural University πŸŽ“, where she obtained her Master’s degree in 2010, concentrating on food processing 🍱. During her academic years, she developed a robust foundation in both theoretical and applied aspects of agro-product transformation πŸ§ͺ, which later became the core of her research work πŸ”¬. Her solid educational background has enabled her to contribute effectively to innovation in food storage, preservation, and processing technologies πŸ₯ΌπŸ“ˆ.

Experience πŸ’Ό

Li Li’s professional trajectory demonstrates her continuous growth and dedication to the agro-food sector 🚜. She began her career as a practice teacher at Guangdong AIB Polytechnic College from 2007 to 2010 🏫, where she focused on food professional English 🌐. Shortly after, she served as a project manager at Guangdong Doctor Science and Technology Co., Ltd. πŸ‘©β€πŸ’Ό, where she applied her expertise in agricultural product processing. In 2010, she joined the Guangxi Academy of Agricultural Sciences as an associate professor and was promoted to full professor in 2019 πŸŽ–οΈ. Over the years, she has spearheaded numerous projects related to food quality, postharvest physiology, and biochemical analysis πŸ₯­πŸ₯Ό, making significant advances in the understanding of fruit ripening, shelf-life extension, and molecular mechanisms in agro-products πŸ”πŸ§¬.

Research Interests πŸ”¬

Li Li’s research primarily centers around postharvest biology and technology πŸ₯•, membrane lipid metabolism πŸ’§, physiological and biochemical changes in fruits πŸŒπŸ“, and the application of safe, environmentally friendly methods to improve food quality and storage stability πŸŒΏπŸ“¦. She is particularly interested in ethylene biosynthesis, antioxidant systems, and the role of gene expression in fruit softening and senescence 🧫🧠. Her recent work also explores novel extraction techniques for functional polysaccharides πŸ’Š and the integration of UV light and modified atmosphere packaging technologies to enhance postharvest product quality πŸŒžπŸ›οΈ. Through her research, she aims to promote sustainable practices in food preservation and improve the nutritional and sensory qualities of agricultural products πŸ₯—πŸŒ±.

Publication Top NoteπŸ“š

Process optimization, structural characterization, and biological activity of Siraitia grosvenorii polysaccharides by ultrasonic aqueous two-phase extraction
International Journal of Biological Macromolecules, 2025
Li Li co-authored this study focusing on the extraction and biological activity of polysaccharides using ultrasonic two-phase technology. The paper has been cited in research related to natural bioactive compound extraction and functional food development.

Changes in cell wall characteristics and expression of MiERF12, MiERF109-like, and MiERF113 during mango softening
Postharvest Biology and Technology, 2025
This publication investigates the genetic regulation of mango softening. It has been cited in fruit ripening studies, particularly those examining ethylene response factors and postharvest physiology.

Exogenous Methyl Jasmonate Alleviates Mechanical Damage in Banana Fruit by Regulating Membrane Lipid Metabolism
Foods, 2024
Li Li contributed to this research examining how methyl jasmonate treatment helps reduce damage in bananas. The study has been cited in literature focusing on postharvest treatment and hormonal regulation in fruits.

The Effects of Combined 1-Methylcyclopropene and Melatonin Treatment on the Quality Characteristics and Active Oxygen Metabolism of Mango Fruit during Storage
Foods, 2023
This article explores how 1-MCP and melatonin jointly improve mango storage quality. It has been referenced in discussions on oxidative stress mitigation and storage technology for tropical fruits.

Synergistic effects of ultraviolet light irradiation and high-oxygen modified atmosphere packaging on physiological quality, microbial growth and lignification metabolism of fresh-cut carrots
Postharvest Biology and Technology, 2020
The paper discusses methods to improve fresh-cut carrot quality and safety. It has been cited in packaging innovation studies and fresh produce preservation research.

Effects of 2-butanol on quality and physiological characteristics of longan fruit stored at ambient temperature
Postharvest Biology and Technology, 2015
This study assesses the role of 2-butanol in maintaining longan fruit quality. It has been cited in chemical treatment applications for extending shelf life in tropical fruits.

Effects of Phospholipase D Inhibitors Treatment on Membrane Lipid Metabolism of Postharvest Banana Fruit in Response to Mechanical Wounding Stress
Horticulturae, 2022
The research focuses on lipid metabolism and stress response in bananas. It has been cited in postharvest biology work emphasizing membrane stability and enzymatic regulation.2′.

Conclusion πŸ“

Professor Li Li’s career reflects a deep and enduring commitment to advancing agro-food science through research, education, and innovation πŸŽ“πŸ”¬. Her work on postharvest physiology, membrane lipid metabolism, and fruit preservation has earned her wide recognition in both academic and agricultural sectors πŸ₯ΌπŸŽ. With a blend of theoretical insight and practical impact, she continues to address critical challenges in food quality and safety πŸ›‘οΈ. Her extensive collaborations and forward-looking vision ensure her research remains at the forefront of scientific development πŸŒπŸ’‘. Looking ahead, Li Li is well-positioned to continue making valuable contributions to sustainable agriculture, food innovation, and scientific excellence πŸŒΎπŸŒ±πŸ“ˆ.

Ghislain Junior Bangoup Ntegmi | Thermo-economic | Best Researcher Award

Mr. Ghislain Junior Bangoup Ntegmi | Thermo-economic | Best Researcher Award

PhD Student, University of Yaounde I, Cameroon

Ghislain Junior Bangoup Ntegmi is a dedicated PhD student in Energetics at the University of YaoundΓ© 1, Cameroon, with a strong focus on thermal, electrical, and solar energy systems, particularly in cold production and energy optimization. His academic journey reflects a strong commitment to sustainable energy research and innovation in sub-Saharan Africa. His current doctoral work explores the thermodynamic analysis and optimization of an irreversible refrigerator operating on a reverse Stirling cycle powered by solar collectors. Under the supervision of Professors Elie Simo and RenΓ© Tchinda, Ghislain has demonstrated exceptional promise in both theoretical and applied research, earning him several prestigious recognitions including the Zacharias Tanee Fomum researchers’ prize and the JESTO researchers’ prize. His academic and research excellence, complemented by hands-on teaching and professional engagements, positions him as a rising expert in the energy and environmental engineering field.

Profile

Education πŸŽ“

Ghislain began his academic pursuit with a Master’s degree in Environmental Sciences from the University of YaoundΓ© 1, where he investigated the challenges of COβ‚‚ emission reduction techniques in African contexts, focusing on Cameroon. His transition to the PhD program in Energetics in 2021 marked a deepening of his expertise, particularly in the thermodynamic and exergo-environmental optimization of renewable-based cooling systems. His educational foundation also includes vocational training in bio-gas production, which adds a practical, renewable energy dimension to his otherwise rigorous scientific background. His ongoing research combines environmental concern with advanced thermal engineering, demonstrating a holistic grasp of modern energy challenges.

Experience πŸ§‘β€πŸ«

In addition to his academic pursuits, Ghislain has been involved in teaching for three years at the University of YaoundΓ© 1, where he leads practical sessions and directed work across various subjects such as thermodynamics, turbo machines, combustion, electro-kinetics, and energy demand control. He has also worked as a technician in biogas production and actively participated in research at the Laboratory of Energy, Electrical Systems and Electronics. His projects include multi-objective energy and environmental optimization of Stirling-based chillers tailored for specific African regions like Maroua. His ability to bridge theoretical knowledge with practical implementation through university-level teaching and applied research underscores his competence and commitment to energy education and innovation.

Research Interest πŸ”¬

Ghislain’s research interests encompass a wide array of topics in energy systems engineering. These include thermodynamics, air conditioning, cryogenics, solar concentrators, wind energy, cryogenic systems, radiative transfer, and exergo-environmental optimization. He applies advanced modeling and simulation techniques to develop energy-efficient and economically viable systems tailored to the African climate and energy demands. His analytical proficiency includes tools like Matlab, HOMER, OpenLCA, and Engineering Equation Solver, enhancing his ability to perform high-level optimization and simulation. His interdisciplinary approach integrates engineering thermodynamics, heat exchangers, and environmental sustainability with a strong emphasis on practical, region-specific solutions.

Awards πŸ†

Ghislain’s contribution to energy research has been recognized through multiple awards. Notably, he is the recipient of the Zacharias Tanee Fomum researchers’ prize and the JESTO researchers’ prize, awarded for his outstanding research performance and innovation in renewable energy systems. These accolades highlight his academic excellence, originality, and the societal relevance of his research work, particularly in addressing cold chain needs and energy sustainability in Africa.

Publication Top NoteΒ πŸ“š

Thermo-Economic and Environmental Analysis of a Dish-Stirling/Stirling Thermal Solar Refrigerator for Cold Production (2025) in Renewable and Sustainable Energy Reviews – widely cited for its innovative integration of solar-thermal technologies.

Energy and Exergo-Environmental Analysis of a Refrigerator-Stirling/Photovoltaic System for Cold Production (2024) in Results in Engineering – addresses hybrid energy systems.

Energy and Exergo-Environmental Performance Analysis of a Stirling Micro-Fridge with Imperfect Regenerator (2024) in International Journal of Ambient Energy – emphasizes small-scale, efficient refrigeration.

Transition Towards Net Zero Emissions: Integration of a PV/T System with Hydroelectric Generator (2024) in Heliyon – focuses on emission control in hybrid setups.

Impact of Enthalpy on the Exergo-Environmental and Energy Performance of a Biomass Power Plant in Journal of Applied Surface Science – explores biomass-based solutions for clean energy.
These publications, each cited by multiple articles, demonstrate his significant contribution to academic literature in sustainable energy systems.

Conclusion βœ…

In summary, Ghislain Junior Bangoup Ntegmi exemplifies academic brilliance, technical skill, and a passion for renewable energy solutions. His research has direct implications for addressing energy scarcity and sustainability in developing regions. As he nears the completion of his PhD, he stands as a promising contributor to the field of energy and environmental engineering, combining strong academic training, practical application, and a drive for innovation in clean energy systems. His work not only furthers scientific knowledge but also paves the way for sustainable development in Cameroon and beyond.

Mahdieh Ghobadifard | Nano particles | Best Researcher Award

Assist. Prof. Dr. Mahdieh Ghobadifard | Nano particles | Best Researcher Award

Inorganic Chemistry, Ayatollah Boroujerdi University, Iran

Dr. Mahdieh Ghobadifard is a distinguished inorganic chemist πŸ”¬ whose work primarily focuses on nanomagnetic metal oxides and sulfides, photocatalysis , and sonochemistry . Her multidisciplinary research bridges chemistry, nanotechnology, and environmental science , contributing significantly to sustainable approaches in pollutant degradation and organic synthesis. With extensive experience in material characterization and catalyst design , she has built a strong academic and research career recognized through numerous publications and awards . She is currently serving as an Assistant Professor at Ayatollah Boroujerdi University, where she leads research in visible-light-driven photocatalysts and mentors graduate students . Her dedication to scientific advancement and education continues to make a meaningful impact in the field of inorganic and materials chemistry .

Profile

Scholar

Education πŸŽ“

Dr. Ghobadifard earned her Ph.D. in Inorganic Chemistry through a joint program between the University of Kurdistan and the University of Waterloo (2015–2020), with a thesis focused on the preparation and performance of magnetic iron and cobalt oxide nanophotocatalysts. Her academic excellence was recognized with a Visiting Student Scholarship and First-Ranked Student Award. She completed her M.Sc. in Inorganic Chemistry at the University of Lorestan (2012–2014), where she conducted pioneering work on mixed-metal and mixed-ligand nano metal-organic polymers. Her undergraduate degree in Pure Chemistry was also obtained at the University of Lorestan (2009–2012), where she was honored as a Gifted Student.

Experience πŸ’Ό

Dr. Ghobadifard’s professional journey is marked by progressive research and academic roles. Currently an Assistant Professor at Ayatollah Boroujerdi University, she teaches core courses in chemistry and supervises graduate theses. From 2021 to 2023, she was a Postdoctoral Fellow at the University of Kurdistan, investigating magnetic nanophotocatalysts in organic reactions and transition-metal-based perovskites. Earlier, she served as a Research Assistant at the University of Waterloo (2018–2020), where she worked on halide perovskite nanocrystals and contributed to several international publications. She has also served in leadership roles such as Secretary of the 22nd Iranian Inorganic Chemistry Conference, showcasing her commitment to scientific collaboration and outreach.

Research Interests πŸ”

Her primary research interests encompass the design, synthesis, and application of nanomaterials with magnetic and photocatalytic properties. Dr. Ghobadifard focuses on developing heterojunction semiconductors for the selective oxidation of organic compounds and degradation of environmental pollutants. Her work extends into perovskite materials for visible-light-driven catalysis and studying the interplay between optical, electronic, and magnetic characteristics in nanocrystalline systems. Through interdisciplinary approaches, she explores sonochemical synthesis routes and the enhancement of photocatalytic efficiency via charge recombination control and nanohybrid architectures.

Awards πŸ…

Dr. Ghobadifard has received multiple accolades recognizing her academic and research excellence. These include the Visiting Graduate Scholarship from the Iranian Ministry of Science, Research, and Technology (2018–2019), and a collaborative research grant awarded by Prof. Pavle Radovanovic at the University of Waterloo. She was distinguished as a top student at the University of Kurdistan and secured a government fellowship to pursue research opportunities abroad 🌍. Earlier in her academic journey, she received several top-rank student awards, affirming her sustained academic distinction.

Publication Top Note πŸ“š

Yeh et al., Nano Letters (2024) – Origin of Dopant-Carrier Exchange Coupling in Mn2+-Doped Halide Perovskites [Cited by 12 articles].

F. Marefatyan et al., Applied Organometallic Chemistry (2024) – CeCoO3/PbS heterojunction for MB dye degradation.

F. Zolfi et al., New Journal of Chemistry, 48(16), 7430-7438 (2024) – Ag/Ξ²-Ag2WO4/V3O4/g-C3N4 heterojunction performance.

A. Ahadi et al., J. Photochem. Photobiol. A: Chemistry, 449 (2024) – TiO2/CeCoO3/PMO-IL for aldehyde generation.

P. Ansari et al., Research on Chemical Intermediates, 49(2023) – Carbon quantum dots for pollutant conversion.

M. Ghobadifard et al., Applied Organometallic Chemistry, 37(6), e7071 (2023) – Co3O4 QDs-AMO heterojunction.

M. Ghobadifard et al., New Journal of Chemistry, 45 (2021), 8032-8044 – Porphyrin-conjugated TiO2/CoFe2O4 nanocatalyst.

Conclusion ✨

Through her robust academic background, interdisciplinary research, and consistent scholarly output, Dr. Mahdieh Ghobadifard has emerged as a leader in the field of inorganic chemistry. Her innovative work on magnetic and visible-light-responsive nanophotocatalysts is instrumental in addressing environmental challenges and advancing green chemistry solutions. Coupled with her excellence in mentoring and academic instruction, she continues to inspire the next generation of chemists. Her record of research impact, collaboration, and commitment to scientific excellence makes her a deserving nominee for recognition in any prestigious scientific or academic award program.