Assoc. Prof. Dr. Mohamed Ali El Sayed Fahim  – applied mathematics – Best Researcher Award 

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Assoc. Prof. Dr. Mohamed Ali El Sayed Fahim  - applied mathematics - Best Researcher Award 

Basic sciences department -faculty of engineering - Egypt

Author Profile 

SCOPUS 

ORCID 

🎓 Early academic pursuits

Mohamed Ali El Sayed Fahim  his academic journey began with a passion for engineering and mathematics, culminating in a bachelor's degree in electrical engineering with a specialization in measurements and controls from benha university in 2008. earning a "very good with honors" distinction, he demonstrated early on a strong foundation in technical sciences, particularly in power electronics and engineering mathematics. his growing interest in advanced mathematical modeling led him to pursue postgraduate studies in mathematical programming and operations research.

👨‍🏫 Professional endeavors

Fahim's professional academic career began in 2009 as a demonstrator of engineering mathematics at the faculty of engineering, benha university. over the next several years, he steadily rose through academic ranks, from assistant teacher in 2014 to lecturer in 2018, and ultimately to associate professor in 2023. he served at both benha university and bader university in cairo (buc), where he has been a cornerstone in the department of basic engineering sciences.

📚 Contributions and research focus

Associate professor fahim’s primary research interests lie in mathematical programming, operations research, and multi-objective optimization. his academic work bridges theory with applied mathematics engineering applications, offering solutions to complex, uncertain systems.

🌍 Impact and influence

Fahim’s research has significantly influenced both academic and industrial spheres. his work on multi-level programming and uncertain optimization models has been applied in engineering applied mathematics contexts, especially where systems like power electronics require precise and adaptive control methods.

📈 Academic citations and recognitions

Mohamed Fahim is a registered researcher on international platforms such as orcid and scopus. he is recognized for his scholarly productivity, particularly in the fields of operations research applied mathematics and mathematical modeling. his citation metrics on scopus reflect the growing relevance of his research in global academic circles.

🧭 Legacy and future contributions

Looking ahead, fahim envisions continuing his work at the intersection of mathematics and engineering. his goal is to advance optimization algorithms that can support next-generation technologies, particularly within power electronics systems and intelligent control networks.

Notable Publications 

  • Title: Two TOPSIS-Based Approaches for Multi-Choice Rough Bi-Level Multi-Objective Nonlinear Programming Problems
    Authors: Mohamed A. El Sayed, Farahat A. Farahat, Mohamed A. Elsisy, Maazen Alsabaan, Mohamed I. Ibrahem, Haitham Elwahsh
    Journal: Mathematics

  • Title: Performance Analysis of Fully Intuitionistic Fuzzy Multi-Objective Multi-Item Solid Fractional Transportation Model
    Authors: Sultan Almotairi, Elsayed Badr, M. A. Elsisy, F. A. Farahat, M. A. El Sayed
    Journal: Fractal and Fractional

  • Title: Multi-choice fractional stochastic multi-objective transportation problem
    Authors: M. A. El Sayed, Ibrahim A. Baky
    Journal: Soft Computing

  • Title: The Karush–Kuhn–Tucker (KKT) optimality conditions for fuzzy-valued fractional optimization problems
    Authors: Deepika Agarwal, Pitam Singh, M. A. El Sayed
    Journal: Mathematics and Computers in Simulation

  • Title: Stability of Parametric Intuitionistic Fuzzy Multi-Objective Fractional Transportation Problem
    Author: M. A. El Sayed
    Journal: Fractal and Fractional

Assist. Prof. Dr. Hafiza Farhat Mutalib – Botany – Best Researcher Award 

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Assist. Prof. Dr. Hafiza Farhat Mutalib - Botany - Best Researcher Award 

Gomal University DI Khan KPK Pakistan - Pakistan

Author Profile 

SCOPUS 

🌱 Early academic pursuits

Dr. Hafiza Farhat Mutalib began her academic journey with a strong foundation in botany from the university of karachi, pakistan. she completed her m.sc in botany (specialization in mycology and plant pathology) in 2013, achieving the highest distinction as a gold medalist. her thesis explored the role of rhizobium in suppressing root rot fungi and root knot nematodes, setting the tone for her future focus on plant-microbe interactions. she further pursued her passion through a ph.d in botany from the university of karachi in 2019, with a dissertation centered on studies on antibiotics producing endophytic fungi associated with healthy plants, showcasing her early inclination towards natural product research and biological control.

🎓 Professional endeavors

Dr. Farhat is currently serving as an assistant professor of botany at the institute of biological sciences, gomal university, dera ismail khan, since october 2020. previously, she contributed as a teaching assistant at the university of karachi from 2016 to 2019. her administrative roles include being the focal person of the department, internal controller for biology and zoology programs, and warden and in-charge of the girls' hostel at gomal university. she also handles library responsibilities as a focal person. these roles reflect her commitment not just to academia but also to institutional development and student welfare.

🔬 Contributions and research focus

Dr. Farhat's research primarily focuses on endophytic fungi, antimicrobial potential, and metabolite profiling using gc-ms techniques. she has delivered several presentations both locally Botany and internationally, including at conferences in rome and european webinars. her work emphasizes the nematicidal and antibacterial potential of fusarium spp. and talaromyces spp., aligning with broader interests in mycology and plant pathology. interestingly, some of her findings on fungal metabolites show promise for bioengineering applications, making a potential crossover into fields like power electronics, where microbial synthesis may offer sustainable alternatives for materials and components.

🌍 Impact and influence

Dr. Farhat has made a notable impact in the scientific community through her multifaceted roles. she has earned certificates of merit, appreciation, and recognition as a gold medalist, Botany underscoring her academic excellence. her contributions extend to editorial and review services for reputable journals such as the journal of plant sciences, primera scientific engineering, and trends of horticulture. her influence is felt not just through publications and presentations but also through training and educational workshops, including a role as an instructor in molecular biology applications. these engagements underline her dedication to the scientific community and capacity-building in pakistan and beyond.

📚 Academic cites

Dr. Farhat's work is gaining visibility through her international conference presentations, notably at the international conference on infectious diseases, clinical microbiology, and euro-global congress on pain medicine. she has presented groundbreaking research on the bioactivity and compound profiling of talaromyces and fusarium spp., which holds promise for Botany application in pharmaceuticals and power electronics, particularly in designing bio-derived insulating or conducting agents. while her citations continue to grow, her presence in international forums has already begun to establish her as a recognized name in microbial biotechnology.

🌟 Legacy and future contributions

As a rising academic leader and researcher, dr. hafiza farhat mutalib is paving the way for a sustainable, bio-based future in plant science and biotechnology. she is fostering interdisciplinary research that could intersect with power electronics and green energy solutions. her future aspirations include expanding her work on endophytic fungi for therapeutic and industrial use, mentoring future microbiologists, and promoting science education among women in pakistan. her dedication, excellence, and vision mark her as a torchbearer for future innovations in microbial sciences and integrated biosolutions.

Notable Publications 

Title: Synergistic effect of ZnO nanoparticles and benzyl piperazine on MWCNTs for anti-microbial activity and energy applications
Author(s): Amna Ishtiaq, Saghir Hussain, Tanveer Farid, Sidra Aslam, Muhammad Safdar
Journal: Journal of the Indian Chemical Society, 2025

Assoc. Prof. Dr. Xincui Shi – Regenerative medical materials – Best Researcher Award 

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Assoc. Prof. Dr. Xincui Shi - Regenerative medical materials - Best Researcher Award 

School of Chemistry and Environmental Engineering, Changchun University of Science and Technology - China 

Author Profile 

ORCID 

🎓 Early academic pursuits

Xincui Shi began her academic journey with a bachelor’s degree in organic chemistry from taishan university, shandong, china, in 2006. her strong foundational interest in polymer science led her to pursue a ph.d. in polymer chemistry and material science under the supervision of prof. yuesheng li at the state key laboratory of polymer physics and chemistry, changchun institute of applied chemistry, chinese academy of sciences. during her doctoral studies (2006–2011), she focused on organometallic synthesis and modification of polyolefins, gaining deep insights into stereospecific polymerization mechanisms. this solid academic base positioned her as a future leader in advanced materials and their applications in fields such as biomedical engineering and power electronics.

🧪 Professional endeavors

Xincui Shi has accumulated over a decade of research and teaching experience in prestigious chinese institutions. she currently serves as an associate professor at changchun university of science and technology, where she leads projects focused on recyclable elastomeric polyester materials and conductive biomaterials for wearable healthcare devices. her earlier career includes roles as an assistant research fellow and associate professor at the changchun institute of applied chemistry. under the guidance of renowned mentors like prof. peibiao zhang and prof. yanhou geng, she worked extensively on π-conjugated polymers, catalyst design, and living polymerization techniques, contributing to high-performance materials relevant to regenerative medicine and power electronics applications.

🔬 Contributions and research focus

Shi’s research is deeply rooted in polymer chemistry and material science, with particular emphasis on biodegradable and electroactive materials. her expertise lies in the design, synthesis, and functionalization of π-conjugated systems such as poly(3-hexylthiophene)s, block copolymers, and carbene-transition metal catalysts. notable contributions include her work on kumada Regenerative medical materials catalyst transfer polycondensation (kctp) for precision polymer synthesis and the development of conductive hydrogels for wearable sensors. her research addresses key challenges in nerve regeneration and tissue engineering, bridging the gap between polymer innovation and practical biomedical and power electronics applications.

🌍 Impact and influence

Xincui Shi's work holds substantial impact across interdisciplinary domains, especially in biomedical material design and environmentally friendly polymers. her contributions to the synthesis and modification of electroactive polyesters and scaffolds have advanced current approaches in neural repair. through her leadership in multiple research grants from the national natural Regenerative medical materials science foundation and educational commission of jilin province, she has nurtured scientific innovation and mentored the next generation of materials scientists. her interdisciplinary research, which merges chemical synthesis, materials engineering, and device application, is paving the way for new functional materials in emerging sectors like smart healthcare and power electronics.

📚 Academic cites

Shi has contributed to numerous peer-reviewed journals in polymer chemistry and materials science, with her publications frequently cited for their novelty and experimental precision. her work on controlled polymerization techniques, polyolefin copolymers, and conductive biomaterials is often referenced in studies related to sustainable material development and electrical Regenerative medical materials applications. her collaborations with experts from the chinese academy of sciences have yielded high-impact research that continues to influence both academic and industrial projects in polymers and power electronics.

🌱 Legacy and future contributions

With a career spanning over 15 years in research and academia, xincui shi is dedicated to fostering innovation in sustainable, functional polymer systems. her future work aims to deepen the understanding of structure–property relationships in biodegradable polyesters and their interface with biological systems. projects such as the construction of amphiphilic conductive fibrous scaffolds and non-conjugated conductive materials for neural injury repair signal a growing focus on translational science. by combining her knowledge of organic chemistry, polymer physics, and applied electronics, she is set to leave a lasting legacy in both academic research and real-world applications, especially in wearable biosensors and power electronics.

Notable Publications 

  • Title: A micropatterned conductive electrospun nanofiber mesh combined with electrical stimulation for synergistically enhancing differentiation of rat neural stem cells
    Author(s): Huanhuan Yan, Yu Wang, Linlong Li, Xiaosong Zhou, Xincui Shi, Yen Wei, Peibiao Zhang
    Journal: Journal of Materials Chemistry B

  • Title: Preparation of polycarbonate/gelatine microspheres using a high-voltage electrostatic technique for enhancing the adhesion and proliferation of mesenchymal stem cells
    Author(s): Chunxu Li, Linlong Li, Rui Ma, Zongliang Wang, Xincui Shi, Xiaoyu Yang, Yu Wang, Peibiao Zhang
    Journal: Journal of Materials Science

  • Title: Controlled synthesis of high molecular weight poly(3-hexylthiophene)s via Kumada catalyst transfer polycondensation with Ni(IPr)(acac)₂ as the catalyst
    Author(s): Xincui Shi
    Journal: (Journal name not provided—likely to be a chemistry or polymer science journal; please confirm source or DOI for precise citation)

  • Title: Kumada catalyst transfer polycondensation for controlled synthesis of polyfluorenes using 1,3-bis(diarylphosphino)propanes as ligands
    Author(s): Xincui Shi
    Journal: (Journal name not provided—please confirm source or DOI for accurate identification)

Mr. Syed Asghar Ali shah – Statistics – Best Researcher Award

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Mr. Syed Asghar Ali shah - Statistics - Best Researcher Award

University of Peshawar - Pakistan

Author Profile 

SCOPUS 

🎓 Early academic pursuits

Syed Asghar Ali shah began his academic journey with a solid foundation in the sciences. after completing his s.s.c in 1998 with distinction in science, he pursued pre-engineering at the intermediate level. he later enrolled in b.sc with majors in statistics, mathematics-a, and physics from the university of peshawar in 2002. his passion for statistical sciences became evident when he completed m.sc in statistics (2005) and m.sc in economics (2022), both from the university of peshawar. further expanding his academic repertoire, he completed his ms in statistics with a cgpa of 3.38 from bku charsadda in 2018. currently, he is pursuing his ph.d. in statistics from the university of peshawar. throughout his educational journey, he maintained consistent academic excellence, which laid the groundwork for a multifaceted career.

🧑‍💼 Professional endeavors

Syed Asghar Ali shah holds the position of additional statistician/technical officer at the cereal crop research institute, pirsabak, nowshera. he began his professional journey as a lecturer in statistics in 2004 and has since held significant roles including assistant statistician at the agricultural research institute, tarnab. over the years, he also served in the federal bureau of statistics and contributed to islamabad model college for boys, h-9, as a lecturer. since december 2019, he has been instrumental in providing statistical and technical expertise for agricultural research. his career path reflects a progressive and dedicated commitment to agricultural statistics and experimental research.

📊 Contributions and research focus

Shah has played a pivotal role in designing experiments and conducting data analysis for agricultural scientists. one of his core research works during his ms program focused on “trends, variability and forecasting of major fruit crops production in khyber pakhtunkhwa.” his role as a focal person in the project “strengthening agriculture research activities and modeling Statistics experimentation of row crops” exemplifies his analytical strengths. this project involved complex data modeling that is closely aligned with the data-intensive approaches used in power electronics systems for process optimization. additionally, he has contributed to research-based reporting by preparing annual statistical reports at his institute.

🌐 Impact and influence

Shah’s influence extends beyond his department, as he has provided advisory services to researchers and students from various institutions, including agricultural universities. his mentorship Statistics and technical support in data analytics have significantly impacted agricultural productivity models. his interdisciplinary exposure—blending statistics, economics, and agricultural sciences—has enhanced the decision-making process in experimental design, similar to how power electronics integrates cross-functional knowledge to control energy flow efficiently.

🏅 Academic cites and achievements

He has been involved in multiple national-level training programs and workshops such as those hosted by parc, pakistan academy for rural development, and the university of agriculture faisalabad. he has actively participated and led sessions on quantitative research, social research methodology, and statistical analysis. his teaching experience at the graduate and Statistics postgraduate level further demonstrates his commitment to academic excellence and knowledge transfer. his thesis work in both statistics and education are also noteworthy academic contributions.

🔬 Legacy and future contributions

Shah’s career is marked by a continuous evolution in research and statistical applications. his current pursuit of a ph.d. highlights his dedication to academic growth and innovation in applied statistics. moving forward, he is poised to contribute further in areas such as data modeling, research methodology, and interdisciplinary analytics—especially in emerging fields where statistics meet technologies like power electronics in smart agricultural systems. he aims to foster a more integrated approach in statistical research for sustainable agricultural development.

Notable Publications 

Title: Optimal model for predicting highest runs chase outcomes in T-20 international cricket using modern classification algorithms
Author(s): Syed Asghar Ali Shah, Qamruz Zaman, Danish Wasim, Abdulmajeed Atiah Alharbi, Maha Shabbir
Journal: AEJ - Alexandria Engineering Journal, 2025

Dr. Mohsin Masood – Data Scientist – Best Researcher Award 

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Dr. Mohsin Masood - Data Scientist - Best Researcher Award 

Imperial College London - United Kingdom

Author Profile 

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Mohsin Masood began his academic journey with a strong foundation in computer science, securing a merit-based msc funding grant from the university of east london (2011–2012). his early academic achievements laid the groundwork for advanced training in health data science, culminating in a phd in statistical modelling from the university of strathclyde, funded by a competitive grant (2014–2017). his scholarly curiosity extended internationally through the erasmus exchange research grant at vsb-technical university of ostrava (2015–2018), where he deepened his expertise in predictive modelling and bioinformatics. during this phase, his interest in power electronics and algorithmic optimization in medical diagnostics emerged as an interdisciplinary focus.

💼 Professional endeavors

With over a decade of experience, mohsin has held impactful roles across academia and research institutions. as an assistant professor in computer science at abasyn university (2018–2022), he designed and taught advanced courses in ai, ml, and data science, incorporating real-world applications in epidemiology and digital health. later, as a senior research fellow at the university of leeds (2022–2023), he led data engineering for a large-scale 2.9 million patient cohort, employing advanced machine learning and nlp tools to analyze multimorbidity and Data Scientist cardiovascular risks. currently, he serves as a research associate at imperial college london (2023–present), where he leads predictive modelling projects on population health, integrating datasets like uk biobank, sail databank, and triphic. he also fosters collaborations with institutions such as sheffield university and a* university of singapore.

🧠 Contributions and research focus

Mohsin’s core research focus lies in multimorbidity, disease progression modelling, and epidemiological risk assessment, particularly within cardiovascular and pulmonary health Data Scientist domains. he applies deep learning, survival analysis, and multistate modelling to interpret complex patient trajectories and disease clustering. his work with electronic health records (ehrs) like hospital episode statistics (hes) reflects a commitment to improving precision medicine. integrating technologies from power electronics into patient monitoring systems has been a unique dimension of his research, promoting real-time diagnostics and health alerts. he has also contributed to educational leadership by mentoring bsc and msc students in ai-based health science projects.

🌍 Impact and influence

Mohsin’s influence extends beyond academia through his involvement in cross-institutional research, digital outreach, and public health strategy. at imperial’s national heart and lung institute (nhli), he manages social media communications to boost public engagement with medical data science. his high-impact publications have contributed to the growing intersection of Data Scientist computational modelling and health outcomes, often cited in cardiovascular and cancer research communities. he is recognized for bridging the gap between statistical modelling and power electronics, showing how smart analytics can optimize hardware for healthcare delivery.

📚 Academic cites

His academic influence is reflected in high citation counts across journals focusing on biostatistics, machine learning in medicine, and epidemiology. notable contributions include projects funded by imperial nhli’s pilot project award (2023–2024) and royan pharmaceutical’s breast cancer research grant (2020–2021). his statistical toolkits and predictive algorithms are widely referenced in studies involving survival analysis, deep learning applications in ehrs, and risk prediction modelling.

🧬 Legacy and future contributions

Mohsin’s legacy lies in fostering a data-driven healthcare ecosystem where interdisciplinary tools empower clinicians and researchers alike. he aims to develop scalable, explainable ai systems for public health, enabling real-time decision-making in hospitals and remote settings. leveraging power electronics, he envisions the integration of wearable technologies with ai for early disease detection and patient monitoring. his commitment to mentoring the next generation of health data scientists ensures a lasting academic and societal impact.

Notable Publications 

  • Title: Emotion classification and crowd source sensing; a lexicon based approach
    Authors: R. Kamal, M.A. Shah, C. Maple, M. Masood, A. Wahid, A. Mehmood
    Journal: IEEE Access

  • Title: An improved particle swarm algorithm for multi-objectives based optimization in MPLS/GMPLS networks
    Authors: M. Masood, M.M. Fouad, R. Kamal, I. Glesk, I.U. Khan
    Journal: IEEE Access

  • Title: Energy efficient software defined networking algorithm for wireless sensor networks
    Authors: M. Masood, M.M. Fouad, S. Seyedzadeh, I. Glesk
    Journal: Transportation Research Procedia

  • Title: Proposing bat inspired heuristic algorithm for the optimization of GMPLS networks
    Authors: M. Masood, M.M. Fouad, I. Glesk
    Journal: 2017 25th Telecommunication Forum (TELFOR)

  • Title: Analysis of artificial intelligence-based metaheuristic algorithm for MPLS network optimization
    Authors: M. Masood, M.M. Fouad, I. Glesk
    Journal: 2018 20th International Conference on Transparent Optical Networks (ICTON)

Assoc. Prof. Dr.  Halil Ibrahim Erdoğdu – infectious diseases – Excellence in Research

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Assoc. Prof. Dr.  Halil Ibrahim Erdoğdu - infectious diseases - Excellence in Research

Kafkas University - Turkey

Author Profile 

SCOPUS 

ORCID 

🎓 Early academic pursuits

Halil Ibrahim Erdoğdu began his journey in medicine at dicle university faculty of medicine, where he studied from 1985 to 1991. after graduating in 1991, he pursued specialization in internal medicine between 1994 and 1998. his early academic focus laid the foundation for his future contributions to internal medicine, nephrology, and immunology, drawing interdisciplinary parallels with advanced technological systems like power electronics, emphasizing precision and control in medical interventions.

🏥 Professional endeavors

Following his specialization, dr. erdoğdu served at kars state hospital from 1998 to 2015, significantly impacting regional healthcare. since 2015, he has been a dedicated clinician and educator at the internal medicine clinic of kafkas university. his clinical excellence is paired with responsibilities as the statistics editor for the kafkas journal of medical sciences, showcasing his dual focus on patient care and academic quality, much like the regulated flow in power electronics systems ensuring efficiency and stability.

🔬 Contributions and research focus

Dr. Erdoğdu’s research concentrates on immunology, hemodialysis, and infectious diseases. his notable studies include the evaluation of vaccine responses in hemodialysis patients and elderly populations, such as the investigation into the level of response to covid-19 vaccine in hemodialysis patients. these studies aim to enhance public health through data-driven insights, infectious diseases integrating methodologies akin to diagnostic precision in power electronics—optimizing performance through feedback mechanisms and individual-based adaptation.

🌍 Impact and influence

With publications in renowned journals such as clinical and experimental nephrology, heart lung and circulation, and current microbiology, dr. erdoğdu's work has influenced both national and international academic communities. his research on vaccine efficacy and public awareness contributes significantly to patient education and public health planning, especially in high-risk infectious diseases groups like the elderly and those undergoing dialysis.

📚 Academic citations

Dr. Erdoğdu’s scientific contributions are reflected in his academic impact, with an h-index of 6 and i-10 index of 5 according to google scholar. his scopus author profile (id: 57190609988) also infectious diseases confirms a solid record of peer-reviewed research, further affirming his role in advancing internal medicine research.

🛠️ Legacy and future contributions

With several published books (isbn: 978-625-8065-78-7, 978-625-8324-24-2, among others) and continuing engagement in research, dr. erdoğdu is committed to mentoring new professionals and enhancing the scientific community’s understanding of immunological responses and chronic disease management. his future work is expected to integrate more translational research, further linking theoretical knowledge with practical application in clinical settings.

Notable Publications 

  1. Title: Can complete blood cell count parameters predict deep vein thrombosis? / Mogu li parametri kompletne krvne slike predvidjeti duboku vensku trombozu?
    Authors: Tural, K.; Kara, F.; Avcı, S.; Erdoğdu, H.İ.
    Journal: Acta Clinica Croatica (2020)

  2. Title: Factors affecting inadequate response to HBV vaccine in hemodialysis patients: northeast Anatolia survey with six hemodialysis centers
    Authors: Erdoğdu, H.İ.; Atalay, E.; Gürsoy, G.; Canbakan, B.; Aktürk, S.; Yazıcı, C.; Yücel, O.; Mersin, S.; Üçer, S.; Merhametsiz, Ö. et al.
    Journal: Clinical and Experimental Nephrology (2019)

  3. Title: Hypoalbuminemia and related factors in hemodialyzed patients: A study of six centers in Turkey / Hemodiyaliz hastalarında hipoalbüminemi ve ilişkili faktörler: Türkiye’de altı merkezli bir çalışma
    Authors: Erdoğdu, H.İ.; Atalay, E.
    Journal: Haseki Tip Bulteni (2019)

  4. Title: The C-Reactive Protein to Albumin Ratio Predicts Acute Kidney Injury in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention
    Authors: Karabağ, Y.; Çağdaş, M.; Rencuzogullari, I.; Karakoyun, S.; Artaç, İ.; İliş, D.; Yesin, M.; Çiftçi, H.; Erdoğdu, H.I.; Tanboğa, I.H.
    Journal: Heart Lung and Circulation (2019)

  5. Title: The relationship between C-reactive protein/albumin ratio and 1-year mortality in hospitalized elderly COPD patients with acute exacerbation / Akut KOAH atağı ile hastaneye yatırılan yaşlı hastalarda 1 yıl mortalite ile C-reaktif protein/albumin oranı arasındaki ilişkinin değerlendirilmesi
    Authors: Atalay, E.; Erdoğdu, H.İ.; Tur, B.K.; Deniz Balyen, L.S.; Karabağ, Y.; Ardiç, S.
    Journal: Turk Geriatri Dergisi (2019)

Dr. Wenli yang – Computer Science and Artifical intelligence – Best Researcher Award 

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Dr. Wenli yang - Computer Science and Artifical intelligence - Best Researcher Award 

University of Tasmania  - Australia

Author Profile 

GOOGLE SCHOLAR

🎓 Early academic pursuits

Dr. Wenli yang’s academic journey is rooted in strong interdisciplinary training, having earned dual phds that laid the foundation for her career in artificial intelligence. her early focus on knowledge representation and algorithmic modeling sparked her interest in scalable systems. through rigorous academic training and research exposure, she developed a deep understanding of power electronics, data engineering, and image analysis. this multidisciplinary education shaped her distinctive approach to solving real-world ai challenges using technically grounded methodologies.

👩‍🏫 Professional endeavors

Currently a lecturer at the school of ict, university of tasmania, dr. yang has quickly become a recognized figure in the artificial intelligence research community. she has actively led and contributed to over 10+ research projects and 8+ consultancy/industry projects, showcasing her technical capabilities across domains. her dedication extends beyond academia, with involvement in field-based data collection initiatives and industry-driven sustainability projects. her expertise also spans power electronics, where her data-driven methodologies enhance system efficiency and smart energy solutions.

🧠 Contributions and research focus

Dr. Yang’s research areas include knowledge representation, ai-powered image analysis, explainable ai, and generative ai. she is passionate about building interpretable and robust ai Computer Science and Artifical intelligence models that perform reliably under real-world conditions. having authored 29 peer-reviewed publications, with 20 as first author, she has made consistent contributions to high-impact q1 journals. her recent studies integrate power electronics with intelligent systems, creating scalable algorithms for energy-efficient computing, smart imaging, and automation across scientific domains.

🌐 Impact and influence

Wenli yang’s work has impacted both academic and applied sectors. her h-index of 9 (scopus) and h-index of 12 (google scholar), with over 647 citations, highlight her growing influence in the ai research community. her collaborative initiatives with australia seafood industries (asi), imas, csiro, and sense-t reflect her commitment to applying ai for public good. through ai- Computer Science and Artifical intelligencedriven oyster genotyping and sustainable fisheries management, she has contributed to ecological and operational advancements across australia’s marine industries.

🔮 Legacy and future contributions

Dr. Wenli yang’s vision is to create scalable, transparent, and adaptable ai systems that serve real-world applications. she continues to expand her research in explainable ai and data Computer Science and Artifical intelligence engineering, with future goals focused on integrating power electronics into intelligent systems for sustainable smart environments. her legacy lies in bridging theoretical research with field impact, inspiring future generations to pursue responsible and innovative ai solutions across multidisciplinary domains.

Notable Publications 

  • Title: A survey on blockchain-based internet service architecture: requirements, challenges, trends, and future
    Author(s): W. Yang, E. Aghasian, S. Garg, D. Herbert, L. Disiuta, B. Kang
    Journal: IEEE Access

  • Title: Survey on explainable AI: From approaches, limitations and applications aspects
    Author(s): W. Yang, Y. Wei, H. Wei, Y. Chen, G. Huang, X. Li, R. Li, N. Yao, X. Wang, X. Gu, ...
    Journal: Human-Centric Intelligent Systems

  • Title: Blockchain: Trends and future
    Author(s): W. Yang, S. Garg, A. Raza, D. Herbert, B. Kang
    Journal: Knowledge Management and Acquisition for Intelligent Systems: 15th Pacific …

  • Title: Design of intelligent transportation system supported by new generation wireless communication technology
    Author(s): W. Yang, X. Wang, X. Song, Y. Yang, S. Patnaik
    Journal: International Journal of Ambient Computing and Intelligence (IJACI)

  • Title: A decision model for blockchain applicability into knowledge-based conversation system
    Author(s): W. Yang, S. Garg, Z. Huang, B. Kang
    Journal: Knowledge-Based Systems

Mr. Hassan Gharoun – AI – Best Researcher Award

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Mr. Hassan Gharoun - AI - Best Researcher Award

University of Technology Sydney - Australia

Author Profile 

SCOPUS 

🎓 Early academic pursuits

Hassan Gharoun was born on 23rd july 1992 in iran. his journey into academia began with a bachelor's degree in industrial engineering with a specialization in industrial production from kharazmi university of tehran (2010–2014). following this, he pursued his master's degree in industrial engineering at the university of tehran (2014–2017), where he deepened his expertise in data-driven systems and optimization. his early academic performance and passion for analytical research laid a strong foundation for his future endeavors. although his background initially focused on industrial systems, his early interest in machine learning and applications in power electronics gradually became prominent.

💼 Professional endeavors

After completing his master’s degree, hassan contributed to the academic community through teaching, notably at the university of tehran. he served as a tutor in advanced econometrics in fall 2017, where he handled responsibilities such as mentoring projects, tutoring in time series algorithms, and grading. he also provided practical insights using sequential deep neural networks and python programming. alongside teaching, he expanded his knowledge base by engaging in international conferences and collaborations, where he actively contributed to data science and optimization research, including subjects related to power electronics and predictive modeling.

🔬 Contributions and research focus

Hassan Gharoun is currently pursuing a ph.d. in analytics at the university of technology sydney (2022–2026). his research spans several methodological domains, including data-driven AI optimization, probabilistic machine learning, meta-learning, and deep learning. these methodologies are employed in solving complex real-world problems where predictive decision-making is crucial. his application-focused research extends to fields like predictive modeling and power electronics, where data-centric models drive intelligent systems. his interdisciplinary approach enhances the integration of machine learning into classical engineering problems, bringing innovative contributions to the analytics landscape.

🌍 Impact and influence

Hassan’s scholarly impact has been marked by both national and international recognition. he received the best paper award at the international conference on industrial engineering and AI operations management held in paris in july 2018, demonstrating his capability to produce high-quality and impactful research. his teaching and mentorship in econometrics and deep learning have also positively influenced students at the university of tehran. by blending industrial engineering insights with cutting-edge analytics and applications such as power electronics, he continues to be a bridge between traditional engineering and emerging ai-driven solutions.

📚 Academic cites

Although still in the early stages of his doctoral journey, hassan gharoun has already begun establishing a scholarly footprint through academic conferences and teaching contributions. his AI recognition at an international level hints at the growing citation potential of his works. his research is expected to be cited across multiple domains, particularly in data analytics, predictive systems, and interdisciplinary applications in sectors like power electronics. as his phd progresses, the impact and citation metrics of his work are projected to increase significantly.

🚀 Legacy and future contributions

Looking ahead, hassan gharoun is poised to make significant contributions to academia and industry through the integration of analytical methods with practical applications. his ambition is to lead innovations at the intersection of deep learning and optimization, enhancing intelligent systems in fields like healthcare, energy, and power electronics. with a strong academic trajectory and international exposure, he is building a legacy rooted in methodological rigor and impactful applications. his future goals include expanding collaborative research, publishing in top-tier journals, and contributing to sustainable technological solutions globally.

Notable Publications 

Title: A comprehensive bibliometric analysis on social network anonymization: current approaches and future directions
Author(s): Navid Yazdanjue, Hossein Yazdanjouei, Hassan Gharoun, Babak Amiri, Amir H. Gandomi
Journal: [No journal information available] — the source or journal name was not provided in the data you shared. If you have a DOI or additional details, I can help track it down further.

MR. Norifumi Todaka –  Geothermal geology and geochemistry – Best Researcher Award

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MR. Norifumi Todaka -  Geothermal geology and geochemistry - Best Researcher Award

Nittetsu Mining Consultants Co., Ltd. - Japan 

Author Profile 

SCOPUS 

🎓 Early academic pursuits

Norifumi Todaka began his journey in the earth sciences with a strong foundation in geology. he earned his bachelor of science in geology from waseda university in 1979, followed by a master's degree in mining geology in 1981, also from waseda. his early academic work laid the groundwork for a lifelong pursuit of innovative approaches in geothermal energy, geochemical modeling, and subsurface engineering—fields where the integration of power electronics has become increasingly vital in modern energy infrastructure.

💼 Professional endeavors

Todaka’s career spans more than four decades of dedication to geothermal and geochemical sciences. starting in 1981, he joined the geothermal engineering office at electric power development co., ltd., where he held various leadership roles until 2016. notable periods include his secondment to the power reactor and nuclear fuel development corporation (1996–1998) for the mizunami url project, and leadership roles at japan ccs company (2008–2010), where he headed the tomakomai ccs project. from 2016 to 2025, he served as director of the geothermal department at nittetsu mining consultants co., ltd., and in 2025, he established the todaka geothermal consulting office (p.e. jp).

🔬 Contributions and research focus

Todaka has significantly contributed to the development of geothermal resources in japan, including major involvement with the onikobe geothermal power plant. his research spans key themes such as geological storage of high-level nuclear waste, mineral co2 sequestration, and supercritical geothermal systems. recently, his focus has turned toward understanding Geothermal geology and geochemistry the formation and distribution of acidic fluids in geothermal areas through chemical equilibrium modeling using solveq-chim and reactive transport modeling using toughreact. his interdisciplinary approach, increasingly linked with power electronics in geothermal technologies, has set benchmarks for sustainable and efficient resource utilization.

🌍 Impact and influence

Norifumi Todaka’s work has had a profound impact on japan’s geothermal strategy and beyond. his technical leadership has informed policy decisions, project execution, and long-term Geothermal geology and geochemistry planning across various national-level projects. his integration of modeling techniques with practical field applications serves as a reference point in geothermal engineering. moreover, his cross-sector experience—including contributions to nuclear waste management and carbon capture—demonstrates a holistic understanding of subsurface processes where the application of power electronics continues to evolve in optimizing geothermal systems.

📚 Academic cites and collaborations

Todaka’s research has been widely cited in academic journals, technical bulletins, and institutional reports within the geosciences and renewable energy communities. his collaboration with researchers and engineers through the electric power development co., ltd., japan ccs, and nittetsu mining consultants, has led to numerous contributions that are used as case studies in geothermal development, reactive transport simulation, and environmental impact analysis.

🌱 Legacy and future contributions

With the establishment of todaka geothermal consulting office, norifumi todaka continues to share his expertise with emerging geothermal projects, academic institutions, and energy consultancies. his legacy is marked by a blend of hands-on fieldwork, pioneering modeling techniques, and thought leadership in energy sustainability. he remains an inspiration to geoscientists and energy professionals aiming to bridge traditional geoscience with modern innovations such as digital monitoring, simulation tools, and integration of power electronics for smart energy systems.

Notable Publications 

Title: Several Considerations on Well Treatment in a Numerical Model for Single-Well Push-Pull Tests in Carbon Dioxide Injection Simulation
Author(s): Kenji Sasaki, Norifumi Todaka, Shigetaka Nakanishi, Chitoshi Akasaka, Yoshinobu Nishimoto
Journal: [No source/journal information available]

Assoc. Prof. Dr. Jun Xiu sheng – Cancer treatment – Best Researcher Award

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Assoc. Prof. Dr. Jun Xiu sheng - Cancer treatment - Best Researcher Award

The First Affiliated Hospital of Dalian Medical University - China 

Author Profile 

SCOPUS 

ORCID 

🎓 Early academic pursuits

Jun Xiu sheng began his academic journey with a strong foundation in clinical medicine. from 2006 to 2011, he pursued a seven-year undergraduate program in clinical medicine at dalian medical university, followed by graduate studies from 2011 to 2013 at the same institution. in 2013, he embarked on a ph.d. in oncology at the graduate school of dalian medical university, sharpening his focus on cancer biology and therapy. his academic path was further enriched through a prestigious exchange scholar program at the medical university of wisconsin, usa, from 2015 to 2016, where he gained international exposure and research insight.

🩺 Professional endeavors

After completing his advanced education, jun xiu sheng joined the first affiliated hospital of dalian medical university. he served as a resident in the department of radiotherapy from 2016 to 2018 and quickly rose through the ranks to become an attending physician (2018–2020). since december 2020, he has held the position of deputy chief physician, where he also serves as an associate professor. his clinical expertise lies in radiation oncology, contributing to the development of novel therapeutic strategies in cancer care. jun xiu sheng’s interest in interdisciplinary approaches, including those inspired by power electronics systems, has made his clinical methods highly adaptive and innovative.

🔬 Contributions and research focus

With a ph.d. in oncology, jun xiu sheng has dedicated his research efforts to understanding the molecular and cellular mechanisms behind tumor resistance and radiotherapy. his recent work explores how melatonin modulates rna splicing in esophageal cancer cells, potentially increasing radiotherapy sensitivity. melatonin, known for its use in treating central nervous system Cancer treatment diseases, has shown promise in suppressing tumor growth. through bioinformatics and rna-seq analysis, jun xiu sheng has investigated the role of variable splicing in radiation resistance, aiming to unlock therapeutic pathways to improve cancer treatment outcomes. integrating ideas from power electronics systems, he also explores regulatory networks in tumor biology.

🌍 Impact and influence

Jun Xiu sheng’s research has not only advanced our understanding of cancer biology but also influenced therapeutic strategies in radiation oncology. by uncovering mechanisms related to rna Cancer treatment variable splicing and the effects of melatonin on tumor cells, he has provided critical insight into resistance pathways. his collaborative roles in national-level projects, including the national natural science foundation of china, have elevated his profile within the academic and medical communities. his interdisciplinary thinking, including applying models from power electronics, offers new paradigms in cancer signal processing and therapy modulation.

📚 Academic cites

Jun Xiu sheng has participated in several major research projects. he contributed to a study on circular rna generation funded by the national natural science foundation of china, and another Cancer treatment on the function of rna variable splicing in tumor radiotherapy resistance. as a principal investigator, he led projects on aspirin-induced rna splicing in lung cancer and on the immune regulation of head and neck squamous cell carcinoma (hnscc). his ongoing research into esophageal cancer immunotherapy and prognosis demonstrates a sustained commitment to scholarly contribution and scientific innovation.

🧬 Legacy and future contributions

Looking forward, jun xiu sheng is committed to deepening his exploration of tumor microenvironments, radiotherapy resistance mechanisms, and immune system interactions in cancer. his current projects funded by liaoning provincial programs and education departments reflect his active role in shaping the future of oncology. he envisions integrating computational and systemic models—akin to feedback loops found in power electronics—to decode complex biological responses in tumors. his legacy will be defined by a blend of rigorous scientific inquiry, clinical excellence, and forward-thinking applications in precision medicine.

Notable Publications 

Title: The role of oncostatin M in esophageal cancer and its potential as a prognostic marker
Author(s): Guangxiang Ding, Xianwei Li, Hongtao Yin, Bing Sun, Junxiu Sheng
Journal: Computers in Biology and Medicine, 2025