Naveed Ahmed | Infectious Diseases | Young Scientist Award

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Assist. Prof. Dr. Naveed Ahmed | Infectious Diseases | Young Scientist Award

Assist. Prof. Dr. Naveed Ahmed | University of Tabuk | Saudi Arabia

Dr. Naveed Ahmed, PhD, is a Registered Scientist (UK) and Professional Technologist (Malaysia) specializing in Medical Microbiology. With a robust academic background and diverse research expertise, he currently serves as an Assistant Professor at the University of Tabuk, Saudi Arabia. Dr. Ahmed has contributed extensively to infectious disease diagnostics, antimicrobial resistance, nanomedicine, and vaccine development. His prolific output includes over 40 Q1/Q2 publications and numerous presentations at international conferences. Recognized with prestigious awards such as the Sanggar Sanjung and Young Investigator Award, Dr. Ahmed is deeply engaged in translational research, academic mentorship, and global health initiatives.

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Education

Dr. Naveed Ahmed holds a PhD in Medical Microbiology from Universiti Sains Malaysia, where he completed significant research on Epstein-Barr virus and cancer immunotherapy. He earned a Master of Science in Microbiology from the University of Central Punjab and a BS (Hons) in Medical Laboratory Technology from the University of the Punjab, Lahore. His education has been enriched by merit scholarships, certifications, and awards that reflect his dedication to academic excellence and scientific innovation. His interdisciplinary background has equipped him with strong foundations in diagnostics, molecular biology, immunology, and public health microbiology.

Professional Experience

Dr. Ahmed currently serves as an Assistant Professor at the University of Tabuk, Saudi Arabia, where he teaches and contributes to curriculum development and quality assurance. His experience spans academia, research, and hospital-based microbiology, including roles at Universiti Sains Malaysia, the Pakistan Kidney and Liver Institute, and Chughtai Lab. His responsibilities have ranged from managing research grants, publishing in indexed journals, and supervising teams, to laboratory quality control and training staff. Dr. Ahmed has also served as a visiting lecturer at several institutions, highlighting his dedication to education, professional growth, and interdisciplinary collaboration.

Research Focus

Dr. Ahmed’s research centers on medical microbiology, infectious diseases, nanomedicine, cancer immunotherapy, and antimicrobial resistance. He has led and contributed to projects involving in-vitro diagnostics for mosquito-borne diseases, rapid COVID-19 test evaluations, and computational vaccine design targeting pathogens like Epstein-Barr virus and Enterobacter cloacae. His work often bridges molecular biology, immunoinformatics, and translational medicine, with the goal of developing practical health interventions. Dr. Ahmed also explores the therapeutic potential of bioactive compounds, nanoparticles, and host-pathogen interactions, striving to advance diagnostics and treatment strategies for emerging and re-emerging infectious diseases worldwide.

Awards and Honors

Dr. Naveed Ahmed has been recognized with numerous accolades for his research excellence and academic performance. These include the Graduate on Time Award (2024), nominations for Best PhD Thesis, and multiple Sanggar Sanjung Awards for publication excellence at Universiti Sains Malaysia. He secured second place in oral presentations at RCMM/NCCR 2023 and received the Best Poster Presentation at MMIDSP 2020. He is also the recipient of departmental awards for journal club presentations and a merit-based Research Assistance Scheme. His contributions reflect consistent excellence, dedication to scientific advancement, and leadership in academic and clinical microbiology.

Publications Top Notes

Title: Application of Artificial Intelligence in Combating High Antimicrobial Resistance Rates
Citations: 112 (2022)
Journal: Antibiotics, Volume 11, Issue 6, Article 784

Title: Synthesis of Silver Nanoparticles from Extracts of Wild Ginger (Zingiber zerumbet) with Antibacterial Activity Against Selective Multidrug Resistant Oral Bacteria
Citations: 77 (2022)
Journal: Molecules, Volume 27, Issue 6, Article 2007

Title: High-Dose Vitamin C for Cancer Therapy
Citations: 75 (2022)
Journal: Pharmaceuticals, Volume 15, Issue 6, Article 711

Title: Self-Medication as an Important Risk Factor for Antibiotic Resistance: A Multi-Institutional Survey Among Students
Citations: 68 (2022)
Journal: Antibiotics, Volume 11, Issue 7, Article 842

Title: The Antimicrobial Efficacy Against Selective Oral Microbes, Antioxidant Activity and Preliminary Phytochemical Screening of Zingiber officinale
Citations: 66 (2022)
Journal: Infection and Drug Resistance, Pages 2773–2785

Title: Clinical Manifestation, Transmission, Pathogenesis, and Diagnosis of Monkeypox Virus: A Comprehensive Review
Citations: 56 (2023)
Journal: Life, Volume 13, Issue 2, Article 522

Title: The Usage of Antibiotics by COVID-19 Patients with Comorbidities: The Risk of Increased Antimicrobial Resistance
Citations: 53 (2021)
Journal: Antibiotics, Volume 11, Issue 1, Article 35

Title: Smoking – A Dangerous Addiction: A Systematic Review on an Underrated Risk Factor for Oral Diseases
Citations: 50 (2021)
Journal: International Journal of Environmental Research and Public Health, Volume 18, Issue 21, Article 11003

Title: Evaluation of Bi-Lateral Co-Infections and Antibiotic Resistance Rates Among COVID-19 Patients
Citations: 46 (2022)
Journal: Antibiotics, Volume 11, Issue 2, Article 276

Title: Synthesis, Characterization and Antimicrobial Activity of Bacillus subtilis-Derived Silver Nanoparticles Against Multidrug-Resistant Bacteria
Citations: 46 (2020)
Journal: Jundishapur Journal of Microbiology, Volume 13, Issue 5, Pages 1–7

Title: An Overview on Phenotypic and Genotypic Characterisation of Carbapenem-Resistant Enterobacterales
Citations: 45 (2022)
Journal: Medicina, Volume 58, Issue 11, Article 1675

Title: Applications of Alginate-Based Nanomaterials in Enhancing the Therapeutic Effects of Bee Products
Citations: 43 (2022)
Journal: Frontiers in Molecular Biosciences, Volume 9, Article 865833

Title: Antibiotic Resistance Profile in Relation to Virulence Genes fimH, hlyA and usp of Uropathogenic E. coli Isolates in Lahore, Pakistan
Citations: 42 (2019)
Journal: Tropical Biomedicine, Volume 36, Pages 559–568

Conclusion

Dr. Naveed Ahmed exemplifies the qualities of a committed researcher, skilled educator, and dedicated scientist in the field of medical microbiology. His strong academic background, multifaceted research portfolio, and international collaborations make him a valuable asset to the global health community. Through his impactful publications, patents, and teaching roles, he continues to drive innovation in infectious disease diagnostics and treatment. Dr. Ahmed’s journey reflects excellence, integrity, and a forward-looking vision—ideals that position him for continued success in academia, clinical research, and health policy on both national and international levels.

Yeliz Karaçar | Psychiatric Nursing | Best Researcher Award

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Dr. Yeliz Karaçar | Psychiatric Nursing | Best Researcher Award

Dr. Yeliz Karaçar | Akdeniz University | Turkey.

Dr. Yeliz Karaçar is a dedicated researcher and academic in the field of psychiatric nursing at Akdeniz University, Türkiye. With over eight years of clinical experience and seven years in academia, she combines practical expertise with rigorous research. Her academic path includes an MSc in Mental Health Nursing and a BA in Sociology, culminating in a PhD focused on psychoeducation for families of ICU patients. She has contributed to more than 20 publications, authored book chapters, and engaged in international collaborations through Erasmus+. Her research prioritizes compassionate, evidence-based care for individuals with mental health and chronic health challenges.

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Education

Dr. Karaçar’s academic journey is grounded in interdisciplinary learning and specialized training. She holds a Bachelor’s degree in Sociology and a Master’s degree in Mental Health Nursing . Her passion for psychiatric nursing led her to pursue a PhD, which she earned in 2024 from Akdeniz University. Her doctoral research explored psychoeducational interventions for families of ICU patients. She further enriched her academic profile through an Erasmus+ Internship at the University of Rome Tor Vergata in 2024. She has also undertaken intensive training in qualitative, quantitative, and mixed methods research to advance her scholarly and clinical contributions.

Professional Experience

Dr. Yeliz Karaçar brings a wealth of clinical and academic experience to the field of psychiatric nursing. She served eight years in clinical nursing settings, honing her practical skills in mental health care. For the past seven years, she has been affiliated with Akdeniz University as a research assistant in the Department of Psychiatric Nursing. She is actively involved in research, teaching, peer review, and editorial duties, including her role on the editorial board of the Akdeniz Nursing Journal. Her multidisciplinary background enhances her ability to bridge clinical practice with academic inquiry and promote holistic patient care strategies.

Research Focus

Dr. Karaçar’s research centers on psychiatric nursing, with a strong focus on mental health, chronic illness, self-management, and compassionate care. She investigates psychological outcomes in patients and caregivers, with a particular emphasis on ICU settings and vulnerable populations such as older adults. Her PhD research introduced psychoeducational models for ICU patient families, and she continues to explore self-efficacy and resilience among caregivers. Her work blends theory with evidence-based practice and aims to inform clinical interventions that promote emotional well-being. She is especially interested in bridging the gap between research and nursing care through education, compassion, and innovation.

Awards and Honors

Dr. Yeliz Karaçar’s academic and research excellence has earned her recognition both nationally and internationally. In 2024, she was selected for the Erasmus+ Internship Mobility at the University of Rome Tor Vergata, strengthening her global academic ties. She has contributed to over 20 publications, including journals indexed in SCI, Scopus, and ESCI. In addition, her authored book chapters reflect her expertise in self-management, compassion, and elder care. Her editorial role at Akdeniz Nursing Journal and active memberships in several professional associations underscore her commitment to advancing psychiatric nursing. She is now a nominee for the prestigious Best Researcher Award.

Publications Top Notes

The effect of self-management and subjective recovery on social functioning in people with schizophrenia: A cross-sectional study based on a community mental health centre | International Journal of Social Psychiatry

Crisis management process of intensive care nurse managers during the COVID-19 pandemic: a descriptive qualitative study | BMC Nursing

The Effect of Psychological Resilience and Self‐Efficacy on Caregiver Burden: A Cross‐Sectional Study Among Caregivers of People With Alzheimer’s Disease | Nursing Open

Psychometric properties of the caregiver self-efficacy in contributing to self-care in chronic conditions scale in a western asian country | Geriatric Nursing

Psychometric Properties of the Turkish Version of the Compassion Motivation and Action Scales in a Community-Based Population | Journal of Transcultural Nursing

Professional Self‐Efficacy and Readiness to Encounter Individuals Exposed to Partner Abuse in Nurses: A Cross‐Sectional Study | Journal of Advanced Nursing

Does fear of compassion effect nurses’ caring behaviours? A cross-sectional study | Nursing Ethics

Factors Predicting Mental Health Literacy in Older Adults: A Community-Based Cross-Sectional Study | Journal of Psychosocial Nursing and Mental Health Services

Hibrit Eğitim Alan Hemşirelik Öğrencilerinin Pandemi Sürecinde Klinik Uygulama Kaygısı ve Özyeterlik İnançlarıyla İlişkisi: Kesitsel Bir Çalışma | Ordu Üniversitesi Hemşirelik Çalışmaları Dergisi

Effect of motivational interview-based self-management programme on self-efficacy in individuals with chronic obstructive pulmonary disease: A randomized controlled trial | Current Psychology

Conclusion

Dr. Yeliz Karaçar exemplifies the values of excellence, compassion, and innovation in psychiatric nursing. Her strong foundation in both clinical and academic domains, enriched by international experience and interdisciplinary education, positions her as a leader in mental health research. With a commitment to improving caregiver and patient outcomes, she advocates for evidence-based and theory-driven nursing practices. Her ongoing contributions to research, education, and editorial work highlight her dedication to the nursing profession. Dr. Karaçar is a deserving candidate for the Best Researcher Award, and her future endeavors are poised to make significant impacts in healthcare and nursing education.

Dongting Yue | Environmental Science | Best Researcher Award

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Dr. Dongting Yue | Environmental Science | Best Researcher Award

Dr. Dongting Yue | Shanghai University | China

Dr. Dongting Yue is an accomplished environmental scientist affiliated with the School of Environmental Science and Engineering at Shanghai Jiao Tong University. With a strong academic background and international research exposure, he specializes in nanocatalysis, photocatalytic hydrogen evolution, and wastewater treatment technologies. His career includes a postdoctoral fellowship and visiting scholarship at leading institutions in China and Australia. Dr. Yue has published extensively in high-impact journals and actively contributes to advancing photo(electro)catalytic applications in environmental remediation. His work reflects a commitment to sustainable solutions and innovative environmental engineering strategies through interdisciplinary research.

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Education

Dr. Dongting Yue holds a Ph.D. in Environmental Science and Engineering from Shanghai Jiao Tong University (2014–2017), where he specialized in nanomaterials, photocatalytic hydrogen evolution, and organic wastewater treatment. He also earned a Master’s degree in the same field from Shandong University (2011–2014) and a Bachelor’s degree in Environmental Engineering from the University of Jinan (2006–2010). He further advanced his academic career as a postdoctoral fellow and associate researcher at Shanghai Jiao Tong University and Shanghai University, respectively, and gained international experience as a visiting scholar at the University of Queensland in 2019–2020.

Experience

Dr. Dongting Yue is currently serving as an Associate Researcher at Shanghai University since October 2020. Previously, he was a postdoctoral fellow at Shanghai Jiao Tong University from 2017 to 2020, where he worked with Profs. Yixin Zhao and Xudong Yang. During 2019–2020, he expanded his research horizons as a visiting scholar at the Australian Institute for Bioengineering and Nanotechnology, University of Queensland, under Dr. Chengzhong Yu. His professional journey encompasses advanced research on nanomaterials, photo(electro)catalysis, and water purification technologies, contributing to numerous high-impact publications and national research grants in environmental science and engineering.

Research Focus

Dr. Dongting Yue’s research is centered on the development of nanocatalysts and electrode materials for advanced environmental applications. His core focus lies in photo(electron)-catalytic hydrogen evolution and Fenton-like reactions for wastewater treatment. He actively explores the synthesis of nanostructured materials and their integration into innovative catalytic systems for pollutant degradation and clean energy production. His studies on photocatalytic hydrogen peroxide generation and nitrate reduction have opened new avenues for low-energy, high-efficiency water treatment. Dr. Yue’s work significantly contributes to environmental nanotechnology, aiming to address pressing global issues such as water contamination and sustainable energy.

Awards and Honors

Dr. Dongting Yue has received multiple accolades for his academic and research excellence. He was honored with the “Second Prize for Subject Report” and “Second Prize for Poster Display” at the Graduate Academic Forum of Shanghai Jiao Tong University (2016). He was recognized as an “SJTU-ATAL Outstanding Student” and received the “Outstanding Graduate” award from Shandong University and Shandong Province in 2014. He was a recipient of the prestigious “Qugeping Scholarship” from the China Environmental Protection Foundation and won a “Third Prize” in the Energy Saving and Emission Reduction Competition. Early in his academic career, he also earned a third-class scholarship at the University of Jinan.

Publications Top Notes

FeOOH quantum dots coupled g-C3N4 for visible light driving photo-Fenton degradation of organic pollutants

Citation: 289

Journal: Applied Catalysis B: Environmental, Vol. 237, pp. 513–520, 2018

Authors: X. Qian, Y. Wu, M. Kan, M. Fang, D. Yue, J. Zeng, Y. Zhao

Carbon quantum dots decorated Bi₂WO₆ nanocomposite with enhanced photocatalytic oxidation activity for VOCs

Citation: 287

Journal: Applied Catalysis B: Environmental, Vol. 193, pp. 16–21, 2016

Authors: X. Qian, D. Yue, Z. Tian, M. Ren, Y. Zhu, M. Kan, T. Zhang, Y. Zhao

Visible light assisted heterogeneous Fenton-like degradation of organic pollutant via α-FeOOH/mesoporous carbon composites

Citation: 271

Journal: Environmental Science & Technology, Vol. 51(7), pp. 3993–4000, 2017

Authors: X. Qian, M. Ren, Y. Zhu, D. Yue, Y. Han, J. Jia, Y. Zhao

Lead-free double perovskite Cs₂AgBiBr₆/RGO composite for efficient visible light photocatalytic H₂ evolution

Citation: 243

Journal: Applied Catalysis B: Environmental, Vol. 268, 118399, 2020

Authors: T. Wang, D. Yue, X. Li, Y. Zhao

Highly efficient utilization of nano-Fe(0) embedded in mesoporous carbon for activation of peroxydisulfate

Citation: 214

Journal: Environmental Science & Technology, Vol. 53(15), pp. 9081–9090, 2019

Authors: Y. Wu, X. Chen, Y. Han, D. Yue, X. Cao, Y. Zhao, X. Qian

Mesoporous TiO₂ films coated on carbon foam based on waste polyurethane for enhanced photocatalytic oxidation of VOCs

Citation: 137

Journal: Applied Catalysis B: Environmental, Vol. 212, pp. 1–6, 2017

Authors: X. Qian, M. Ren, D. Yue, Y. Zhu, Y. Han, Z. Bian, Y. Zhao

Hydrophilic mesoporous carbon as iron (III)/(II) electron shuttle for visible light enhanced Fenton-like degradation of organic pollutants

Citation: 131

Journal: Applied Catalysis B: Environmental, Vol. 231, pp. 108–114, 2018

Authors: X. Qian, M. Ren, M. Fang, M. Kan, D. Yue, Z. Bian, H. Li, J. Jia, Y. Zhao

A novel polynary fatty acid/sludge ceramsite composite phase change materials and its applications in building energy conservation

Citation: 95

Journal: Renewable Energy, Vol. 76, pp. 45–52, 2015

Authors: H. He, P. Zhao, Q. Yue, B. Gao, D. Yue, Q. Li

NiFe layered double hydroxide (LDH) nanosheet catalysts with Fe as electron transfer mediator for enhanced persulfate activation

Citation: 85

Journal: The Journal of Physical Chemistry Letters, Vol. 11(3), pp. 968–973, 2020

Authors: D. Yue, X. Yan, C. Guo, X. Qian, Y. Zhao

CuO nanosheet as a recyclable Fenton-like catalyst prepared from simulated Cu(II) waste effluents by alkaline H₂O₂ reaction

Citation: 74

Journal: Environmental Science: Nano, Vol. 6(1), pp. 105–114, 2019

Authors: M. Fang, R. Zheng, Y. Wu, D. Yue, X. Qian, Y. Zhao, Z. Bian

Photocatalytic remediation of ionic pollutant

Citation: 74

Journal: Science Bulletin, Vol. 60(21), pp. 1791–1806, 2015

Authors: D. Yue, X. Qian, Y. Zhao

Conclusion

Dr. Dongting Yue stands as a dedicated environmental scientist whose contributions span innovative catalyst development and eco-friendly water treatment methods. His comprehensive academic training, international collaborations, and sustained research excellence have established him as a rising leader in environmental nanotechnology. With a strong publication record, prestigious grants, and multiple honors, Dr. Yue continues to push the boundaries of photo(electro)catalytic applications. His interdisciplinary approach addresses critical environmental challenges, promoting sustainable technologies for energy and water purification. He is poised to make even greater contributions to global environmental sustainability through continued research, innovation, and scientific collaboration.

Abudureheman Abuduaini | E-commerce | Best Researcher Award

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Mr. Abudureheman Abuduaini | E-commerce | Best Researcher Award

Mr. Abudureheman Abuduaini | School of Economics, Guangdong University of Finance and Economics  | China

Mr. Abuduaini Abudureheman is a dedicated academic affiliated with the School of Economics at Guangdong University of Finance and Economics, China. He holds a PhD in Economic Information Management from the Central University of Finance and Economics. His scholarly journey is marked by consistent contributions to research in cross-border e-commerce, innovation management, and data-driven decision-making systems. With numerous first-author publications in SCI, CSSCI, and core Chinese journals, his work bridges economics and technology. A proactive researcher and educator, he remains engaged in advancing the integration of big data analytics and economic theory to solve practical challenges in global digital commerce.

Profile

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Education

Mr. Abuduaini earned his PhD in Economic Information Management from the School of Information at the Central University of Finance and Economics, China. His academic training provided a strong foundation in integrating information systems with economic theories and practices. During his doctoral studies, he focused on the intersection of economic behavior, data analysis, and management systems. The program emphasized research methods in applied economics and digital innovation. His rigorous academic background has enabled him to contribute meaningfully to the fields of e-commerce strategy, logistics optimization, and intelligent systems for economic management.

Experience

Mr. Abuduaini Abudureheman currently serves at the School of Economics, Guangdong University of Finance and Economics. Over the years, he has taken on teaching, research, and academic supervision roles. His professional expertise lies in electronic commerce, organizational intelligence, and economic digitalization. He has led multiple projects and authored over ten high-impact research papers indexed in SCI, CSSCI, and EI databases. His experience spans designing analytical models, advising students, and contributing to academic journals. With a focus on applied research, he has built a strong reputation for bridging academic theory with real-world economic issues, especially in cross-border trade and digital platforms.

Research Focus

Mr. Abuduaini’s research centers on cross-border e-commerce, digital innovation, and intelligent systems in economic management. He explores user behavior analysis, logistics optimization, consumer trust modeling, and performance evaluation through advanced methodologies such as fuzzy logic, D-S evidence theory, and convolutional neural networks. His interdisciplinary approach combines economics, data science, and organizational theory to address contemporary challenges in e-commerce logistics, consumer engagement, and platform management. His work supports more efficient, trustworthy, and scalable systems in international digital trade and has implications for policymakers, platform developers, and supply chain strategists looking to enhance the competitiveness of e-commerce ecosystems.

Awards and Honors

Mr. Abuduaini Abudureheman has earned significant recognition through his prolific research output. Serving as the first author on all his published works, he has contributed to numerous SCI-indexed and core journals such as Journal of Organizational and End User Computing, Soft Computing, and ACTA AGR SCAND B-S P. His work has been featured in both international and national journals of repute, including those indexed by EI and CSSCI. These consistent contributions highlight his academic excellence and the esteem he holds within the Chinese and global research community on e-commerce and economic systems.

 Publications Top Notes

Title: Design of a User Comment Management System Based on Text Mining: Innovative Organization Management for E-Commerce
Journal: Journal of Organizational and End User Computing
Date: October 2023

Title: Optimization Model Design of Cross-Border E-Commerce Transportation Path under the Background of Prevention and Control of COVID-19 Pneumonia
Journal: Soft Computing
Date: March 2021

Title: Research on Consumer Trust Measurement Model for Agricultural Products E-Commerce Based on D-S Evidence Theory
Journal: Acta Agriculturae Scandinavica, Section B – Soil & Plant Science
Date: February 2021

Title: Performance Evaluation of Enterprises’ Innovation Capacity Based on Fuzzy System Model and Convolutional Neural Network
Journal: Journal of Intelligent & Fuzzy Systems
Date: February 2021

Title: Evaluation Research on China’s Cross-Border E-Commerce Logistics Business under the Game Theory-Based Combined Weighting Model
Journal: Statistics and Decision
Date: September 2022

Title: Knowledge Management Capability, Organizational Intelligence, and Innovation Performance on E-Commerce Platforms
Journal: Commercial Economy Research
Date: January 2021

Title: Research on the Transformation and Upgrading of China’s Foreign Trade from the Perspective of Cross-Border E-Commerce Development
Journal: Price Monthly
Date: September 2020

Title: Precision Marketing Strategies for E-Commerce from the Perspective of Big Data
Journal: China Statistics
Date: January 2017

Title: Research on New Models of Small-Scale Cross-Border E-Commerce under Economic Globalization
Journal: Reform and Strategy
Date: June 2016

Title: Analysis of College Students’ Online Business in China
Journal: Applied Mechanics and Materials
Date: August 2014

Title: Barriers and Benefits in the Adoption of E-Government in China
Journal: Advances in Mechatronics and Control Engineering
Date: May 2014

Conclusion

Mr. Abuduaini Abudureheman stands out as a leading academic in the domain of digital economics and e-commerce strategy. With a robust educational foundation, comprehensive teaching experience, and a focused research portfolio, he has made valuable contributions to the understanding and optimization of cross-border trade and digital management systems. His ability to apply complex theoretical models to real-world economic problems marks him as an impactful scholar. Through ongoing research and academic engagement, he is well-positioned to influence future developments in e-commerce infrastructure, data-driven economic policy, and digital innovation both within China and internationally.

Jing-Li Fu | Robotics | Best Research Article Award

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Prof. Dr. Jing-Li Fu | Robotics | Best Research Article Award

Prof. Dr. Jing-Li Fu | Shandong Vocational University of Foreign Affairs, Zhejiang Sdi-Tech University |  China 

Prof. Dr. Fu Jingli is a distinguished scholar in mathematics and applied mechanics, currently serving as a second-level professor and doctoral supervisor at Zhejiang University of Technology. With a prolific academic career, he has authored over 150 research papers, with more than 100 indexed by SCI and over 70 by EI. His work has been cited over 1,000 times in SCI journals. He is known for advancing the theory of symmetries in dynamical systems. His contributions span theoretical innovation and practical applications, establishing him as a prominent figure in China’s scientific and educational landscape.

Profile

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Education

Prof. Dr. Fu Jingli earned his Ph.D. in a technical field and currently serves as a second-level professor and doctoral supervisor at Zhejiang University of Technology. His academic journey has been marked by rigorous scientific training and specialization in mechanics and dynamical systems. With deep expertise developed through advanced research and mentoring, he has cultivated a strong academic foundation. His education laid the groundwork for hosting several national-level projects and producing highly cited publications. Prof. Fu’s scholarly background reflects a commitment to excellence, both in teaching and research, and has significantly shaped his contributions to science and engineering.

Prof. Dr. Fu Jingli is a senior academic with extensive experience in research, teaching, and supervision. As a second-level professor at Zhejiang University of Technology, he has led five projects funded by the National Natural Science Foundation of China. With a strong research record and mentoring history, he has guided numerous postgraduate and doctoral students. He contributed to both theoretical research and curriculum innovation. His experience also includes collaboration with national educational and scientific bodies, significantly advancing the field of dynamical systems and mathematical modeling. His expertise is reflected in national and provincial awards and a substantial publication record.

Research Focus

Prof. Fu Jingli’s research focuses on Noether symmetries, conserved quantities in nonconservative dynamical systems, and geometric mechanics. His influential 2003 paper in Physics Letters A, co-authored with Li-Qun Chen, has been cited over 50 times, showcasing its impact in theoretical physics. He explores differential equations, variational principles, and symmetry-based analytical mechanics. His work aids in understanding physical systems lacking traditional conservation laws. Through mathematical modeling and theoretical analysis, his contributions bridge pure mathematics with applied science, supporting advances in physics, engineering, and control systems. His research significantly shapes developments in symmetry methods and integrability in modern dynamics.

Awards and Honors

Prof. Fu Jingli has received multiple prestigious honors for his contributions to science and education. He earned a second prize (first place) in the Zhejiang Provincial Science and Technology Award and a second prize in the Natural Science Award from the Ministry of Education (second place). He also received a second prize in the Shanghai Science and Technology Progress Award (second place). In the field of education, he won a first prize in provincial teaching achievements (first place). These accolades reflect his dual excellence in research and pedagogy, marking him as a key contributor to China’s scientific and academic progress.

 Publications Top Notes

Title: Basic Principles of Deformed Objects with Methods of Analytical Mechanics
Journal: Journal of Nonlinear Mathematical Physics
Year: 2024
Citations: 1
Authors: Fu Jingli, others not specified

Title: Lie Symmetries and Conserved Quantities of Static Bertotti–Robinson Spacetime
Journal: Chinese Journal of Physics
Year: 2024
Citations: 2
Authors: Fu Jingli, others not specified

Title: Dynamics Analysis of a Nonlinear Controlled Predator–Prey Model with Complex Poincaré Map
Journal: Nonlinear Analysis: Modelling and Control
Year: 2024
Citations: 1
Authors: Fu Jingli, others not specified

Title: Fractional Hamilton’s Canonical Equations and Poisson Theorem of Mechanical Systems with Fractional Factor
Journal: Mathematics
Year: 2023
Citations: 1
Authors: Fu Jingli, others not specified

Title: Dynamic Analysis of a Phytoplankton-Fish Model with the Impulsive Feedback Control Depending on the Fish Density and Its Changing Rate
Journal: Mathematical Biosciences and Engineering
Year: 2023
Citations: 2
Authors: Fu Jingli, others not specified

Title: Lie Group Analysis Method for Wall Climbing Robot Systems
Journal: Indian Journal of Physics
Year: 2022
Citations: 4
Authors: Fu Jingli, others not specified

Title: Noether Symmetries and Conserved Quantities of Wall Climbing Robot System
Journal: Lixue Xuebao (Chinese Journal of Theoretical and Applied Mechanics)
Year: 2022
Citations: 6
Authors: Fu Jingli, others not specified

Title: A Symplectic Algorithm for Constrained Hamiltonian Systems
Journal: Axioms
Year: 2022
Citations: 4
Authors: Fu Jingli, others not specified

Title: Sensitivity Analysis of Pesticide Dose on Predator-Prey System with a Prey Refuge
Journal: Journal of Applied Analysis and Computation
Year: 2022
Citations: 4
Authors: Fu Jingli, others not specified

Title: On Noether Symmetries and Conserved Quantities of Nonconservative Dynamical Systems
Journal: Physics Letters A
Year: 2003
Citations: 50+
Authors: Jing-Li Fu, Li-Qun Chen

Conclusion

Prof. Dr. Fu Jingli exemplifies academic excellence through his profound research, impactful teaching, and national-level recognition. With over 150 publications and significant citations, his theoretical advancements in dynamical systems have influenced both academia and practical applications. His awards and leadership in major national research projects further reinforce his stature as a scholar of distinction. Through his role as a doctoral supervisor and educator, he continues to nurture the next generation of researchers. His sustained contributions to mathematics and engineering position him as a deserving candidate for honors like the Best Researcher Award.

Ivan Belmas | Engineering | Best Researcher Award

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Prof. Dr. Ivan Belmas | Engineering | Best Researcher Award

Prof. Dr Ivan Belmas | Dnipro State Technical University | Ukraine

Prof. Ivan Vasilyovych Belmas is a distinguished Ukrainian mechanical engineer specializing in mechanical equipment of metallurgical plants. With over five decades of academic and research excellence, he currently serves as Professor and Head of the Department of Mechanical Equipment at DSTU. A Doctor of Technical Sciences, he has contributed extensively to machine dynamics, structural mechanics, and welding technologies. Fluent in Ukrainian, Russian, and English (B1), Prof. Belmas is widely respected for his expertise in composite materials and mechanical assemblies. His leadership, mentorship, and prolific publications have significantly shaped industrial mechanical engineering and materials science in Eastern Europe.

Profile

Scopus

Education

Prof. Belmas earned his mechanical engineering degree in 1972 from the Dniprodzerzhynsk Industrial Institute, specializing in mechanical equipment for metallurgical plants. He completed his Ph.D. at the Dnipropetrovsk Mining Institute and later obtained his Doctor of Technical Sciences degree, focusing on Mining Machines (05.05.06) and Dynamics and Strength of Machines (05.02.09). His academic journey includes advanced training at the National Metallurgical Academy of Ukraine and the Varna Free University (Bulgaria). He has consistently pursued continuing education and certifications, including digital competencies and CAD technologies, ensuring his expertise remains aligned with evolving industry standards.

Experience

Prof. Ivan Belmas has held multiple academic and leadership positions, including Professor and Head of Departments at DSTU. His teaching covers subjects like CAD systems, design of machine-building plants, and structural stress theory. He previously served as a senior research fellow at the Dnipro Mining University and senior lecturer in graphics. From 1981 to 1994, he led the Department of Mechanical Engineering Technologies. Over the years, he has demonstrated strong organizational, methodological, and scientific leadership, mentoring students and coordinating faculty development. His administrative experience ensures effective academic governance and strategic development in mechanical engineering education.

Research Interests

Prof. Belmas’s research focuses on the stress-strain behavior of composite materials, rubber-cable traction elements, and mechanical assemblies under dynamic and static loads. He has conducted extensive studies on cable rope diagnostics, failure mechanisms, and structural integrity of metallurgical machinery. His work in modeling, design optimization, and fatigue analysis is applied in conveyor systems and mine lifting equipment. He is also passionate about CAD integration in mechanical design, orthotropic materials, and energy-efficient mechanical systems. Prof. Belmas collaborates actively on interdisciplinary projects, blending theory with practical engineering applications to advance the reliability and durability of industrial components.

Awards and Honors

Prof. Belmas holds numerous national and international recognitions for his scientific contributions. He has authored more than 35 high-impact publications in Scopus and Web of Science journals. His research has earned him professional awards from the National Mining University and DSTU. He holds multiple patents in Ukraine, including for stress-monitoring systems and protective devices for cable mechanisms. He was honored with certificates of excellence for academic leadership and innovation in mechanical engineering. Prof. Belmas’s work is frequently cited and acknowledged at major conferences and by professional engineering bodies, reflecting his prominent standing in the research community.

 Publications Top Notes

Development of a system for continuous automatic monitoring of the cable rope condition – Strength of Materials, Vol. 54(5), 2022.

Stress state of elastic shell of rubber-cable belt during displacement of cables – E3S Web of Conferences, 2019.

Stress-strain state of a composite rope with cable breakages – UNIVERSITAS Publishing, 2022.

Influence of changes in rubber properties on stress state of cable traction elements – National Mining University, No. 61, 2020,

Justification of research on diagnostic methods for variable cross-section rope – National Mining University, No. 64, 2021.

Algorithm for calculating the strength of a conveyor belt with holes – DSTU, 2020

Stress state of the grinding tool under tangential force – National University of Health Sciences, No. 3, 2022

Cable rope rupture analysis – DSTU Kamianske, No. 1(40), 2022

Requirements for mechanical properties of overhead conveyor belt – DSTU, 2020

Strength of a rubber cable stay with connection defects – Strength of Materials, 2023

Conclusion

Prof. Ivan Belmas exemplifies academic excellence, research innovation, and leadership in mechanical engineering. With profound expertise in stress mechanics, composite structures, and automated design, he has shaped both Ukrainian and international scientific discourse. His commitment to education, demonstrated through comprehensive lectures and mentorship, continues to influence new generations of engineers. The breadth of his scholarly output and practical inventions addresses critical challenges in industrial mechanics. As a researcher, educator, and administrator, Prof. Belmas remains a pillar of engineering science, deserving recognition for his lifelong dedication to advancing materials science and mechanical technology on a global scale.

Fateme Nateghi Haredasht | AI for healthcare | Best Researcher Award

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Dr. Fateme Nateghi Haredasht | AI for healthcare | Best Researcher Award 

Dr. Fateme Nateghi Haredasht | Stanford University | United States.

Dr. Fateme Nateghi Haredasht is a distinguished postdoctoral researcher at the Stanford Center for Biomedical Informatics Research, where she works under the mentorship of Dr. Jonathan H. Chen. She has a robust background in biomedical sciences, biomedical engineering, and electrical engineering, combined with extensive interdisciplinary experience across institutions in the USA, Belgium, and Iran. Dr. Nateghi’s research merges Artificial Intelligence with healthcare, specializing in medical informatics, survival analysis, and explainable AI. Her work has been published in top-tier journals and presented at prestigious international conferences. With a consistent academic record and multiple honors, she is recognized for her leadership in predictive modeling, particularly in acute kidney injury, treatment retention, and transplantation outcomes. Fateme has played key roles in grant-winning interdisciplinary projects like the 2024 Stanford Bio-X Seed Grant. Her dedication to advancing AI in clinical settings underscores her impact on digital health and personalized medicine.

Profile

Scopus
Orcid
Google Scholar

Education

Fateme Nateghi Haredasht holds a Ph.D. in Biomedical Sciences from KU Leuven, Belgium, with a research focus on developing predictive models for acute kidney injury in critically ill patients. She earned her M.Sc. in Biomedical Engineering (Bioinformatics) from Amirkabir University of Technology, Tehran. Her undergraduate degree is in Electrical Engineering from the University of Guilan, Iran, where she ranked third among her peers. Throughout her academic journey, Fateme received numerous awards and scholarships, including direct candidacy for graduate programs and national merit-based grants. Her doctoral work, supervised by Prof. Celine Vens and a multidisciplinary medical team, combined machine learning with clinical medicine to improve outcomes for vulnerable patient populations. Her academic foundation in signal processing, programming, and statistics equips her with a unique blend of engineering precision and biomedical insight.

Experience

Dr. Nateghi currently serves as a postdoctoral researcher at Stanford University (2023–present), leading AI-driven research projects in medical informatics under Dr. Jonathan H. Chen. Prior to this, she held a postdoctoral position at KU Leuven’s Department of Public Health and Primary Care, supervised by Prof. Celine Vens. At KU Leuven, she contributed to major research in survival prediction, time-to-event modeling, and donor-recipient matching post-transplantation. She has supervised several master’s and medical students, guiding projects on Alzheimer’s disease and survival analysis. Her teaching portfolio includes TA roles in courses like Bioinformatics and Statistical Analysis at KU Leuven and AmirKabir University. Fateme has also presented her work internationally at conferences in the USA, France, and Iran. Her deep commitment to interdisciplinary research, combined with technical proficiency in Python, R, and LaTeX, allows her to bridge clinical insights and computational innovations, pushing forward digital medicine and evidence-based healthcare.

Research Interests

Dr. Nateghi’s research interests lie at the intersection of artificial intelligence and healthcare. She is passionate about developing explainable AI tools and predictive models to support clinical decision-making, particularly in high-stakes environments like intensive care units. Her current focus includes retrieval-augmented language models, survival analysis, and time-to-event modeling for patient outcome prediction. She has extensively worked on acute kidney injury, pediatric heart transplantation, and substance use disorder retention. Through her research, she seeks to create clinically applicable, ethically grounded AI systems that are interpretable, fair, and integrated with electronic health records. At Stanford, she is exploring how digital consultations can enhance specialty care through generative AI. Her broader aim is to bridge the gap between computational innovation and real-world healthcare delivery, ensuring that machine learning advances lead to tangible improvements in patient outcomes and health equity.

Awards and Honors

Fateme has received numerous accolades throughout her academic career. At Amirkabir University of Technology, she ranked first in her M.Sc. cohort and was recognized as the top student in Bioinformatics. At the undergraduate level, she secured the third position among Electrical Engineering students at the University of Guilan. She was awarded a four-year entrance scholarship for academic excellence and was granted direct M.Sc. admission due to her exceptional performance. In 2024, she served as the lead postdoctoral researcher and primary author on the award-winning proposal for the Stanford Bio-X Interdisciplinary Seed Grant, in collaboration with top researchers from Stanford University. She also received a travel grant to attend the prestigious Cambridge Ellis Machine Learning Summer School in the UK. These honors reflect her commitment to academic rigor, leadership in interdisciplinary projects, and consistent contributions to AI-driven advancements in healthcare.

 Publications Top Notes

Validated risk prediction models for outcomes of acute kidney injury: a systematic review
BMC Nephrology (2023) – 17 citations

 Comparison between cystatin C- and creatinine-based estimated glomerular filtration rate in the follow-up of patients recovering from a stage-3 AKI in ICU
Journal of Clinical Medicine (2022) –15 citations

Predicting outcomes of acute kidney injury in critically ill patients using machine learning
Scientific Reports (2023) – 13 citations

Supervised fuzzy partitioning
Pattern Recognition (2020) – 10 citations

Clinical entity augmented retrieval for clinical information extraction
npj Digital Medicine (2025) – 9 citations

The effect of different consensus definitions on diagnosing acute kidney injury events and their association with in-hospital mortality
Journal of Nephrology (2022) –  9 citations

Red teaming large language models in medicine: real-world insights on model behavior
medRxiv (2024) –8 citations

Exploiting censored information in self-training for time-to-event prediction
IEEE Access (2023) – 6 citations

Predicting survival outcomes in the presence of unlabeled data
Machine Learning (2022) –  6 citations

Red teaming ChatGPT in medicine to yield real-world insights on model behavior
npj Digital Medicine (2025) – 4 citations

Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate
Scientific Reports (2024) – 4 citations

 Predictability of buprenorphine‐naloxone treatment retention: A multi‐site analysis combining electronic health records and machine learning
Addiction (2024) –  3 citations

 MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
arXiv preprint (2025) – 2 citations

Conclusion

Dr. Fateme Nateghi Haredasht stands as a compelling candidate for recognition as a leading researcher at the intersection of AI and healthcare. Her interdisciplinary academic background, combined with a strong portfolio of publications, grants, and international collaborations, reflects her capability to solve complex biomedical problems using cutting-edge computational techniques. Her contributions—ranging from predictive analytics in acute kidney injury to retrieval-augmented clinical models—demonstrate a practical yet innovative approach to AI in medicine. She has also played vital roles in mentorship, policy contributions, and curriculum support, proving her dedication to academic and community development. Currently working at Stanford University, she continues to influence the field with her pioneering research and leadership. With a vision centered on ethical, explainable, and impactful AI, Dr. Nateghi exemplifies the qualities of a future scientific leader whose work can redefine how medicine and technology come together to improve patient care and system-wide healthcare efficiency.

 

Dukagjin Blakaj | Oncology | Best Researcher Award

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Prof. Dr. Dukagjin Blakaj | Oncology | Best Researcher Award

Prof. Dr. Dukagjin Blakaj | The Ohio State University | United States

Dr. Dukagjin M. Blakaj is a visionary leader in radiation oncology, currently serving as the Drs. Malati and Ganesh Potdar Endowed Professor and Vice Chair of Clinical Operations at The Ohio State University Comprehensive Cancer Center. Renowned for advancing proton therapy and translational cancer research, he has overseen exponential growth in departmental faculty, revenue, and NIH funding since joining in 2013. His leadership has transformed clinical operations, implemented strategic innovations, and significantly expanded clinical trial participation. Dr. Blakaj has mentored numerous faculty and fellows, initiated multi-disciplinary research collaborations, and secured millions in philanthropic and research funding. An influential educator and administrator, he also directs fellowships in Head & Neck, CNS/Pediatric, and IORT radiation oncology. Beyond his institutional impact, he serves on national committees and journal boards, shaping the future of cancer research and care. His work exemplifies excellence in clinical innovation, academic mentorship, and collaborative leadership across the oncology landscape.

Profile

Scopus
Orcid
Google Scholar

Education

Dr. Dukagjin Blakaj holds a distinguished academic background with dual advanced degrees in medicine and science. He earned his M.D. and Ph.D. in Biochemistry from the Albert Einstein College of Medicine, where he also completed a Master of Science in Biochemistry. Prior to that, he obtained both his Master of Arts and Bachelor of Arts degrees in Chemistry and Molecular Biology & Biophysics from Wesleyan University. His academic excellence is reflected in numerous accolades, including the Rudin Scholarship and Dean’s Recognition Award. He completed his internship in internal medicine at Mount Sinai Beth Israel Medical Center and a residency in radiation oncology at Montefiore-Einstein Comprehensive Cancer Center. Further, he undertook a post-doctoral fellowship focused on HPV epidemiology and therapeutic vaccine development. Dr. Blakaj’s academic training is complemented by multiple faculty leadership and coaching certifications, which have equipped him with the strategic and educational tools to excel as a clinical and academic leader in oncology.

Experience

With over a decade of experience at The Ohio State University Comprehensive Cancer Center, Dr. Dukagjin Blakaj has held progressive leadership roles, including Director of Head & Neck/Skull Base Division, Director of Clinical Operations, and currently Vice Chair of Clinical Operations. Under his guidance, the department expanded from 13 to 51 faculty members, increased revenue by over 450%, and tripled NIH funding. He has played a pivotal role in enhancing operational efficiencies, developing data lakes for research, and implementing standardized procedures across divisions. As a fellowship director in multiple subspecialties, he has trained future leaders in radiation oncology. His innovative leadership has advanced FLASH radiotherapy, Theranostics, and multidisciplinary care models. Dr. Blakaj also serves as Co-PI on several clinical trials and large-scale grants, leading to substantial contributions in patient care and translational research. His collaborative, data-driven approach continues to drive excellence in academic medicine and clinical cancer care.

Research Interests

Dr. Dukagjin Blakaj’s research spans translational oncology, radiation therapy innovations, and molecular mechanisms of treatment resistance. He focuses extensively on head and neck, skull base, and spine malignancies, leading efforts to develop precision radiation protocols and novel therapeutic strategies. His research has garnered over $5 million in funding, supporting groundbreaking clinical trials, including studies on FLASH radiotherapy, immunotherapy combinations, and stereotactic treatments. He is Principal or Co-Investigator on numerous NIH, industry-sponsored, and institutional grants addressing treatment optimization, radio-sensitization, and rare cancer biology. His work includes building large-scale clinical databases and integrating radiomic and molecular data into patient care models. He co-leads the PARTNER protocol to create a comprehensive data lake for translational research. His commitment to collaborative research has elevated institutional trial accruals and contributed to over 200 peer-reviewed publications. Through mentorship, innovation, and cross-disciplinary collaboration, Dr. Blakaj is advancing personalized oncologic care on both clinical and molecular fronts.

Awards and Honors

Dr. Dukagjin Blakaj has received numerous prestigious awards recognizing his contributions to oncology, research, and education. Notably, he received the James Outstanding Physician Peer Award for his leadership, professionalism, and collaborative spirit. He has consistently ranked among the top 10% of most published and cited doctors on Doximity (2021–2024) and was named a Top Doctor nationally in 2021. His article in Practical Radiation Oncology was selected for Elsevier’s Head & Neck Cancer Awareness Month feature. Additional accolades include the Best Teacher Award at the Osler Board Review Course, the Samuel J. Roessler Memorial Scholarship, and multiple abstract and travel awards from ASTRO, ACRO, and other leading organizations. He was also a finalist for the 2021 International Book Awards for his leadership publication. His early academic excellence was recognized through fellowships from the American Heart Association, Howard Hughes Medical Institute, and the International Biophysical Society, setting the foundation for his distinguished career.

 Publications Top Notes

Radiotherapy plus cetuximab or cisplatin in human papillomavirus-positive oropharyngeal cancer (NRG Oncology RTOG 1016): a randomised, multicentre, non-inferiority trial

Reduced-dose radiation therapy for HPV-associated oropharyngeal carcinoma (NRG Oncology HN002)

Phase IIb, randomized, double-blind trial of GC4419 versus placebo to reduce severe oral mucositis due to concurrent radiotherapy and cisplatin for head and neck cancer

Time to surgery and survival in head and neck cancer

Oral mucositis in head and neck cancer: Evidence-based management and review of clinical trial data

Combined nivolumab and ipilimumab with or without stereotactic body radiation therapy for advanced Merkel cell carcinoma: a randomised, open label, phase 2 trial

NRG-HN002: a randomized phase II trial for patients with p16-positive, non-smoking-associated, locoregionally advanced oropharyngeal cancer

Single-isocenter multitarget stereotactic radiosurgery is safe and effective in the treatment of multiple brain metastases

Molecular dynamics and thermodynamics of protein−RNA interactions: Mutation of a conserved aromatic residue modifies stacking interactions and structural adaptation in the U1A protein

Application of an interstitial and biodegradable balloon system for prostate-rectum separation during prostate cancer radiotherapy: a prospective multi-center study

Organ preservation for advanced larynx cancer: A review of chemotherapy and radiation combination strategies

A phase 1 trial of Vorinostat in combination with concurrent chemoradiation therapy in the treatment of advanced staged head and neck squamous cell carcinoma

Evolutionary and biophysical relationships among the papillomavirus E2 proteins

Emerging concepts and novel strategies in radiation therapy for laryngeal cancer management

A digital twin for simulating the vertebroplasty procedure and its impact on mechanical stability of vertebra in cancer patients

Conclusion

Dr. Dukagjin M. Blakaj stands as a leading force in academic radiation oncology, seamlessly integrating clinical excellence, visionary leadership, and groundbreaking research. His transformative impact at The Ohio State University has resulted in institutional growth, enriched patient care, and elevated academic standards. A dedicated mentor and educator, he has cultivated the next generation of oncology leaders through innovative fellowships and global mentorship. His expansive research portfolio spans molecular biology, clinical trials, and AI-driven data analysis, reflecting a commitment to precision medicine and translational impact. Recognized nationally and internationally for his achievements, Dr. Blakaj continues to shape the future of radiation oncology through strategic leadership, collaborative partnerships, and compassionate care. His efforts exemplify how visionary thinking, paired with operational excellence, can revolutionize patient outcomes and institutional success. Dr. Blakaj remains a beacon of excellence in medicine, embodying the ideals of academic leadership, research innovation, and unwavering dedication to improving human health.

Madhavi Tota | Computer Science | Best Researcher Award

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Mrs. Madhavi Tota | Computer Science | Best Researcher Award

Mrs. Madhavi Tota, G H Raisoni,  India.

Mrs. Madhavi Srinivas Sadu, Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering, has over 18 years of teaching experience and a strong academic background in machine learning, big data security, and information privacy. She has authored 28 publications, including 12 international journal papers and 3 book chapters, and holds professional memberships in ISTE, IE, and INSC. Her research focuses on privacy-preserving methods and technological innovation, making her a significant contributor to the academic community.

Profile

ORCID ID

Early Academic Pursuits

Mrs. Madhavi Srinivas Sadu began her academic journey with a Bachelor’s degree in Computer Science and Engineering (B.E. CSE) from Prof. Ram Meghe Institute of Technology & Research, Badnera, affiliated with SGBAU, Amravati University, where she explored native XML databases through her project on Xindices. Her passion for computing led her to pursue M.Tech in Computer Science and Engineering from Vivekananda Institute of Technology & Science, Karimnagar, under JNTU Hyderabad, where she researched performance improvements in parsers using PEG (Parsing Expression Grammar). She has recently submitted her Ph.D. thesis at Raisoni University, Saikheda, focused on Information Security and Privacy Preservation in Big Data using Machine Learning.

Professional Endeavors

With over 18 years of rich teaching experience, Mrs. Madhavi Srinivas has steadily contributed to academia. She began as an Adhoc Lecturer at Kavikulguru Institute of Technology & Science, Ramtek, followed by a brief tenure at Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur, where she later secured a permanent position as an Assistant Professor (Senior Grade). Since 2007, she has been actively involved in nurturing undergraduate students in Computer Science and Engineering, making substantial contributions to the academic ecosystem of her institution.

Contributions and Research Focus On Computer Science

Mrs. Madhavi Srinivas’s research focus lies at the intersection of machine learning, data security, and privacy. Her doctoral research centers on utilizing machine learning algorithms to ensure data privacy in Big Data environments, a pressing concern in today’s digital era. She has authored 28 research publications, including 12 papers in international journals and 3 book chapters, underscoring her commitment to advancing knowledge in her field. Her work bridges foundational computing concepts with emerging technologies, aiming for real-world solutions in information security.

Impact and Influence

Her influence extends beyond classroom teaching into academic administration and curriculum development. As a member of the Board of Studies and Question Paper Moderation Committee at Gondwana University, she has played a pivotal role in shaping the academic policies and examination standards. She has served as an organizer and speaker in national-level programs like AICTE-ISTE workshops and soft computing seminars, disseminating advanced computing knowledge to faculty and students alike. Her involvement in these roles reflects her leadership in academic governance and faculty development.

Research Skills

Mrs. Madhavi brings a diverse and practical skill set to her research. Her expertise includes data mining, algorithm design, parser optimization, and machine learning techniques. She has hands-on experience in developing intelligent systems for data privacy, and her work is grounded in both analytical rigor and software implementation. Her teaching subjects further reflect her technical command over areas like deep learning and computer architecture, making her a valuable resource for interdisciplinary research initiatives.

Awards and Honors

Her professional journey has been marked by multiple accolades and recognitions. Although a separate document details her achievements, it is noteworthy that she is a life member of several esteemed bodies, including the Indian Society for Technical Education (ISTE), Institution of Engineers (IE), and INSC. Her patent filing, participation in 13 national conferences/workshops, and recognized book chapter publications are testaments to her active scholarly involvement.

Academic Citations

While specific citation metrics are not provided, her 28 publications and her longstanding association with recognized academic committees and professional bodies indicate a healthy academic footprint. Her peer-reviewed papers in international journals contribute to the scholarly discourse in Big Data privacy, security frameworks, and parser performance optimization, areas vital to the advancement of secure computing environments.

Legacy and Future Contributions

With nearly two decades of service in academia, Mrs. Madhavi Srinivas has built a legacy of academic dedication, technical innovation, and mentorship. Her future ambitions likely include further refining machine learning applications in secure data analytics, expanding her patent portfolio, and potentially guiding doctoral candidates in emerging computing fields. Her continued engagement with curriculum design, student mentorship, and national educational forums promises enduring contributions to both computer science education and technological research in India.

Publications Top Notes

IBMESR: Towards Next-Generation Big Data Security with Integrated Blockchain Model for Efficient, Scalable, and Robust Operations

Abdellatif Rafik | Chemistry | Best Researcher Award

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Mr. Abdellatif Rafik | Chemistry | Best Researcher Award

Mr. Abdellatif Rafik, Laboratory of Organic Chemistry, Catalysis and Environment Faculty of Sciences, Ibn Tofail University, B.P. 133, 14000 Kénitra, Morocco, Morocco

Dr. Rafik Abdellatif is a Moroccan researcher with a Ph.D. in Materials Chemistry from Ibn Tofail University, Kenitra. His expertise lies in the synthesis, characterization, and computational modeling of advanced functional materials, especially phosphate-based hybrids. With a deep commitment to applied research, Dr. Abdellatif focuses on nanoscience, renewable energy, and material innovation. He has a strong publication record, contributing to over ten international peer-reviewed journals and collaborating with renowned scientists. Beyond his academic pursuits, he has recently applied his scientific knowledge in industry as a Site Manager for lithium-based cathode material production, showing versatility between research and industrial application. Known for his proficiency in spectroscopic techniques, DFT modeling, and Hirshfeld surface analysis, Dr. Abdellatif stands out as a promising early-career scientist in the field of materials chemistry.

Publication Profile: 

Orcid

Scopus

Strengths for the Award:

  1. Prolific Scientific Output

    • Authored 10+ peer-reviewed international publications in respected journals.

    • Consistent contributions in the field of hybrid organic-inorganic phosphates, showcasing depth and continuity.

  2. Advanced Methodological Expertise

    • Strong command of Density Functional Theory (DFT), Hirshfeld surface analysis, and spectroscopic techniques (FTIR, UV-Vis).

    • Solid integration of experimental synthesis and theoretical modeling, a hallmark of modern scientific excellence.

  3. Applied Industrial Experience

    • Practical role as Site Manager for the production of Lithium Iron Phosphate (LFP) cathode materials in energy storage.

    • Hands-on experience in technology transfer, process optimization, and industrial safety, demonstrating real-world impact.

  4. Interdisciplinary Focus

    • Merges materials chemistry, renewable energy, and computational chemistry.

    • Involvement in drug docking (ADME/T) and optical property modeling expands his scientific reach.

  5. Collaborative Research

    • Engaged with international co-authors from different institutions, reflecting global scientific networking.

Areas for Improvement:

  1. Wider Research Application

    • Research is currently highly focused on phosphate materials. Exploring adjacent material systems (e.g., perovskites, MOFs, biomaterials) could broaden relevance.

  2. Visibility & Leadership

    • While publication record is solid, increased participation in international conferences, editorial roles, or patent filings would enhance recognition.

  3. Global Engagement

    • Postdoctoral or collaborative research in leading international labs could boost global exposure and elevate impact further.

  4. Funding & Grant Acquisition

    • There is no information on securing competitive research funding, which is often a key metric in award decisions.

Education:

Dr. Abdellatif completed his Ph.D. in 2023 in Fundamental Chemistry at Ibn Tofail University, Kenitra, Morocco. His doctoral thesis focused on the “Physicochemical Synthesis and Characterization of New Advanced Phosphate-Based Materials,” combining experimental and theoretical techniques. He previously earned a Specialized Master’s in Materials Engineering and Cement & Ceramic Technologies in 2016 from the same university. This advanced training provided him with robust interdisciplinary knowledge spanning inorganic chemistry, solid-state physics, and materials processing. His academic journey began with a Bachelor’s degree in Chemistry in 2013 from Chouaib Doukkali University in El Jadida, laying the foundation for his research in solid-state chemistry and materials science. This structured academic path has equipped Dr. Abdellatif with a rich understanding of both fundamental and applied aspects of chemical materials, with particular strength in hybrid organic–inorganic systems and nanostructured functional compounds.

Professional Experience:

Dr. Abdellatif most recently served as Site Manager at Oubaba Sarl, a subcontractor at the Monoammonium Phosphate Laboratory in Jorf Lasfar (April–July 2025). In this role, he led operations related to the synthesis of Lithium Iron Phosphate (LFP) for battery cathodes, demonstrating applied industrial competence. His responsibilities included process optimization, technical monitoring of calcination furnaces, and ensuring industrial safety. He also handled logistics and on-site coordination. This professional role complements his academic expertise in materials synthesis and showcases his ability to translate lab-scale research into scalable industrial processes. Additionally, his strong background in characterization methods (e.g., FTIR, UV-Vis, DFT) and computational modeling makes him highly valuable in research and development environments. His dual experience in academia and industry aligns well with innovation-driven roles and highlights his adaptability in both sectors.

Research Focus:

Dr. Abdellatif’s research centers on the design, synthesis, and quantum chemical analysis of hybrid organic–inorganic phosphate materials. His work extensively utilizes Density Functional Theory (DFT) and Hirshfeld surface analysis to understand molecular interactions, hydrogen bonding, and material stability. He focuses on developing materials with applications in renewable energy, optoelectronics, and energy storage. Many of his studies explore the relationship between crystal structure and functional properties, using techniques like FTIR and UV-Vis spectroscopy to validate computational findings. He is especially interested in phosphate frameworks due to their stability and tunability. His interdisciplinary approach merges synthetic solid-state chemistry with advanced theoretical modeling, positioning him at the frontier of computational materials science. Through collaborations with international researchers, Dr. Abdellatif has broadened the impact of his findings in energy materials and advanced ceramics. His research contributes directly to the sustainable design of new materials with functional applications.

Publications Top Notes:

  1. 📘 Hirshfeld surface analysis, FTIR and UV-Visible spectroscopic and DFT investigations of p-Carboxyphenylammonium dihydrogenmonophosphate monohydrate

  2. 🔬 Hirshfeld surface analysis & quantum chemical study on molecular structure of phosphate

  3. 🧪 Analysis of H-bonding interactions with Hirshfeld surfaces and geometry-optimized structure of the DL-valinium dihydrogen phosphate

  4. ⚛️ One-dimensional hydrogen-bonded N-H…O in the Hybrid Phosphate: Hirshfeld Surface Analysis and DFT quantum chemical calculations

  5. 🔍 Hirshfeld Surfaces Analysis and Computational Approach of Hybrid Organic-Inorganic Phosphate

  6. ⚙️ One step comparative study by Hirshfeld surface analysis, energy frameworks and DFT of hybrid organic-inorganic phosphate

  7. 💠 Investigation of hybrid organic-inorganic dihydrogen phosphate by Hirshfeld surface analysis and quantum chemical study

  8. 🧬 Crystal growth, morphological, mechanical, spectroscopic studies, optical properties, molecular docking, ADME/T, Hirshfeld surfaces analysis and theoretical calculations of hybrid organic-inorganic phosphate compound

  9. 🧿 Comprehensive Structural Characterization and Quantum Mechanical Exploration of O-Phenylenediamine Dihydrogenphosphate

Conclusion:

Dr. Rafik Abdellatif is a highly deserving candidate for the Best Researcher Award, especially among early- to mid-career researchers in materials science and applied chemistry. His balanced profile—blending academic rigor, computational strength, and industrial relevance—demonstrates a mature and impactful research trajectory. With further international exposure and broader application of his methods, his work is poised to make significant global contributions.