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

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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

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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.

Riyadh Hossain | Data Science | Excellence in Research Award

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Mr. Riyadh Hossain | Data Science | Excellence in Research Award

Mr. Riyadh Hossain, Noakhali Science and Technology University, Bangladesh.

Mr. Riyadh Hossain is a dedicated researcher and data scientist specializing in public health statistics and epidemiological research. He holds a BSc and MSc in Statistics from Noakhali Science and Technology University, Bangladesh. His work focuses on child health, disease modeling, and machine learning applications in healthcare. He has published in reputed journals like BMC Public Health and Taylor & Francis and received the National Science & Technology Fellowship. He is also a reviewer for international journals and an active research instructor.

Profile

SCOPUS ID

Early Academic Pursuits

Mr. Riyadh Hossain demonstrated academic excellence from the outset of his educational journey. He completed his Secondary School Certificate (SSC) in 2014 from Chatkhil P.G Govt High School and his Higher Secondary Certificate (HSC) in 2016 from Govt Science College, Dhaka.. Continuing his education at Noakhali Science and Technology University (NSTU), he earned a Bachelor’s degree in Statistics in 2023.  His academic journey culminated with an ongoing Master’s in Statistics, where he currently holds a CGPA of 3.76, reflecting consistent academic dedication and performance.

Professional Endeavors

Mr. Hossain has steadily built a dynamic professional portfolio in both teaching and applied research. Since January 2024, he has served as a Data Scientist, working on time series modeling, coding in R and Python, and health insurance data prediction. Earlier, as an Instructor (2023–2024), he delivered live sessions on Research Methodology and Machine Learning. His experience includes serving as a Research Assistant (2021–2025) at NSTU, focusing on child health and cluster randomized trials. Additionally, in 2019–2020, he worked as a Statistician at Eusuf & Associates, refining his skills in data cleaning, documentation, and report writing.

Contributions and Research Focus On Data Science

Mr. Hossain’s research portfolio reflects a commitment to public health and statistical modeling. His Master’s thesis investigates the determinants of child physical health development in Bangladesh, employing non-parametric techniques to examine the influence of socioeconomic and demographic factors. His research extends to dengue fever spread in the USA, machine learning applications in cardiovascular disease prediction, and studies on malnutrition, mental health, and low birth weight. His commitment to statistical application in health sciences is evident in both published and under-review manuscripts.

Impact and Influence

Through his research and teaching, Mr. Hossain has made a meaningful impact on statistical education and public health research. His work, cited in prominent journals such as BMC Public Health and Taylor & Francis, addresses critical societal issues like environmental health and child development. He actively contributes to global health awareness as a technical volunteer at UNICEF Bangladesh and a member of Statistics without Borders, emphasizing social responsibility and scientific integrity.

Research Skills

Mr. Hossain possesses robust research skills in both theoretical and applied statistics. He is adept in Python, SPSS, R, and STATA, and well-versed in time series analysis, hypothesis testing, multivariate analysis, and machine learning. His training includes online certifications from Duke, Rice, and Imperial College London, reinforcing his capabilities in data analysis and public health statistics. His analytical strength is complemented by his ability to translate data into actionable insights, particularly in the health and development sectors.

Awards and Honors

In recognition of his academic and research excellence, Mr. Hossain received the National Science & Technology Fellowship (2023) from the Ministry of Science and Technology, Government of Bangladesh, and the NSTU Research Cell Project Award (2024) for joint research collaboration. These accolades underscore his dedication to research innovation and his potential for significant future contributions in statistical and health sciences.

Academic Citations

Mr. Hossain has authored and co-authored several peer-reviewed publications in international journals, including BMC Public Health, Discover Mental Health, BMC Cardiovascular Disorders, and more. His citations are steadily growing, particularly on studies addressing child health, environmental epidemiology, and machine learning in disease prediction. His work has attracted attention for its relevance, methodology, and real-world applications, positioning him as a rising academic in biostatistics and public health.

Legacy and Future Contributions

Mr. Hossain is poised to become a leading contributor in statistical health research, with ambitions to influence evidence-based policy and data-driven healthcare planning. His ongoing commitment to scientific integrity, social advocacy, and academic collaboration ensures that his work will continue to advance public health statistics in Bangladesh and globally. Through his academic mentorship, international collaborations, and innovative research, he is building a lasting legacy of knowledge, service, and impact.

Publications Top Notes

Determinants of Child Physical Health Development in Bangladesh: A Study of Key Socioeconomic and Cultural Influences

Authors: Riyadh Hossain, Mohammad Omar Faruk & Najma Begum
Journal: BMC Public Health (2025), Volume 25, Article 2447

Impact of Environmental Factors on the Spread of Dengue Fever in the United States of America (USA)

Authors: Riyadh Hossain, Tahmina Akter, Mohammad Omar Faruk, Sorif Hossain & Md Rasel Hossain
Journal: International Journal of Environmental Health Research (online ahead of print, July 2025)

Machine Learning Approach to Predict Cardiovascular Disease in Bangladesh: Evidence from a Cross‑Sectional Study in 2023

Authors: Sorif Hossain, Mohammad Kamrul Hasan, Mohammad Omar Faruk, Nelufa Aktar, Riyadh Hossain & Kabir Hossain
Journal: BMC Cardiovascular Disorders (2025)

Malnutrition and Its Associated Factors among Children under Five: A Case Study of the Chattogram Division

Authors: Riyadh Hossain, Shahinoor Jamal Muna & Nusrat Jahan Onu
Journal: Food and Nutrition Sciences (2025)

Impact of Socio‑economic, Demographic and Cultural Factors on the Development of Children’s Mental Health: A Cross‑Sectional Study in Bangladesh

Authors: Sarmin Akhter, Riyadh Hossain & Mohammad Omar Faruk
Journal: Discover Mental Health (2025)

Zélia Breton | Endometriosis | Best Researcher Award

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Ms. Zélia Breton | Endometriosis | Best Researcher Award

Ms. Zélia Breton, Inserm / Lyv Healthcare, France.

Ms. Zélia Breton is a PhD student in Public Health and Epidemiology at Inserm and Lyv Healthcare. She holds a Master’s in Demography and focuses on endometriosis research, combining epidemiological analysis with digital health innovation. With four first-author publications and strong international collaborations, her work emphasizes patient-centered care and the reduction of diagnostic delays. Zélia’s efforts contribute to improving quality of life for women and shaping evidence-based public health strategies in women’s health.

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Early Academic Pursuits

Ms. Zélia Breton began her academic journey with a Master’s degree in Demography, laying a strong foundation in population studies and health dynamics. Her academic inclination naturally progressed toward Public Health and Epidemiology, where she is currently pursuing her PhD. Her academic path reflects a sustained commitment to understanding complex public health challenges, particularly those affecting women. Her rigorous training has equipped her with the quantitative and analytical tools necessary for advanced research, while her early interest in health disparities has shaped her passion for evidence-based interventions and patient-centric solutions.

Professional Endeavors

Zélia has acquired diverse professional experience, having worked five years at Inserm, where she contributed to pivotal research on endometriosis management. Simultaneously, her four years at Lyv Healthcare reflect her commitment to translating research into practical healthcare solutions. At Lyv, she championed digital innovations aimed at improving the quality of life for women battling chronic conditions. Her professional portfolio showcases an exceptional ability to bridge academic rigor with applied healthcare practices, making her contributions both scientifically robust and socially impactful.

Contributions and Research Focus On Endometriosis 

Ms. Breton’s research portfolio is centered on improving care pathways and quality of life for individuals affected by endometriosis. Her work within the ComPaRe-Endometriosis cohort identified key factors behind diagnostic delays, psychological stress, and poor quality of life. She demonstrated the positive influence of a multidisciplinary digital support program, thereby providing data-driven solutions that inform public health strategies. Zélia’s research highlights the importance of digital health, patient empowerment, and early intervention, contributing meaningful insights into women’s health policies and education.

Impact and Influence

The impact of Zélia’s work transcends academic circles. Her contributions have catalyzed policy discussions, enhanced clinical practices, and guided the design of patient-centered healthcare models. Through her collaborations with hospitals, academic institutions, and international research networks, she has influenced cross-border initiatives focused on women’s health. Her innovative approaches have inspired the integration of technology into therapeutic support, reflecting a significant influence on both clinical implementation and research paradigms.

Research Skills

Zélia demonstrates exceptional research skills, including epidemiological analysis, cohort study design, and multidisciplinary collaboration. Her ability to publish as the first author in four peer-reviewed journals and co-author in several others showcases her proficiency in academic writing and research communication. She also manages multiple manuscripts under submission, indicating ongoing scholarly productivity. Zélia is adept at applying quantitative methods, formulating data-driven conclusions, and leveraging digital tools to enhance health outcomes, particularly in complex, under-researched areas like endometriosis.

Awards and Honors

Although still early in her academic career, Zélia’s contributions have already garnered growing citations and recognition within her research community. Her nomination for the Best Researcher Award is a testament to her scientific rigor, dedication to women’s health, and the global relevance of her work. As her publications gain further visibility, she is poised to attract national and international accolades, reinforcing her standing as a leading voice in epidemiological and digital health research.

Babatunde Omiyale | Advanced Materials Engineering | Best Researcher Award

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Mr. Babatunde Omiyale | Advanced Materials Engineering | Best Researcher Award

Mr. Babatunde Omiyale, University of Saskatchewan, Canada.

Mr.Omiyale Babatunde Olamide is a passionate and dedicated mechanical engineering professional with over a decade of hands-on experience in advanced manufacturing, materials science, and mechanical systems. He is a driven Ph.D. researcher at the University of Saskatchewan, Canada, specializing in nano-sensors using CNT/graphene nanocomposites. Known for his steady, thoughtful approach, Omiyale combines strong analytical thinking with creative problem-solving to address complex engineering challenges. His technical depth is matched by a rich practical skill set, including operating and maintaining industrial equipment, project leadership, and data analysis. His research and industrial experience span Nigeria and Canada, making him a globally oriented professional. As a collaborative team player, Omiyale continually seeks to innovate and contribute to sustainable engineering practices. His professional ethos is shaped by inclusivity, safety consciousness, and an unwavering commitment to excellence in academia and industry. 🌍🛠️📚

👨‍🎓 Profile

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🎓 Education

Mr.Omiyale Babatunde Olamide is currently pursuing his Ph.D. in Mechanical Engineering at the University of Saskatchewan, Canada (2025–2028), where he is developing nano-sensors via two-photon polymerization. He holds a Master’s degree in Mechanical Engineering (2017–2018) from the Federal University of Technology, Akure, Nigeria. His academic path also includes a Postgraduate Diploma in Mechanical Engineering from Ladoke Akintola University of Technology (2014–2016) and a Higher National Diploma (HND) in Mechanical Engineering from The Polytechnic Ibadan (2008–2010). Throughout his education, Omiyale has demonstrated academic excellence, as evidenced by top scores in his doctoral coursework. His strong theoretical foundation is complemented by practical industrial knowledge, forming a comprehensive academic background in mechanical systems, design, and manufacturing. His pursuit of lifelong learning has been enriched with professional certifications in engineering, occupational safety, and international society memberships. 🎓📘🔬

🏭 Experience

Mr.Omiyale Babatunde Olamide boasts over 10 years of progressive academic and industrial experience in mechanical and production engineering. Currently, he works as an Operations Personnel at Prairieland Park in Saskatoon, Canada, contributing to logistical efficiency and process optimization. Previously, he served in multiple roles at the Federal University of Technology, Akure, Nigeria—from Technologist II to Senior Technologist—between 2014 and 2024. His roles involved teaching, laboratory management, student mentoring, and applied mechanical operations. Omiyale has significant experience with equipment like lathe, milling, shaping, and grinding machines. He also possesses hands-on expertise in automation systems involving hydraulics, pneumatics, and PLCs. His project and team management skills have been vital to achieving institutional goals and fostering innovation. These diverse experiences highlight his adaptability, commitment to continuous improvement, and global competency in engineering practices. 🇨🇦🛠️🇳🇬

🔬 Research Interests

Mr.Omiyale’s research interests are deeply rooted in smart manufacturing, nanotechnology, additive manufacturing, and corrosion science. His current Ph.D. research focuses on the development of responsive nano-sensors based on CNT/graphene nanocomposites using two-photon polymerization, bridging nanomaterials and sensing technology. He is fascinated by the intersection of materials performance, miniaturized systems, and sustainability. His research explores the corrosion-fatigue behavior of surface-treated metals, safety in additive manufacturing, and the mechanical behavior of 3D-printed polymers. He also investigates electrochemical properties of metallic glasses and magnesium alloys for biomedical and industrial applications. By combining experimental research with simulation-based approaches and data analytics, Omiyale aims to contribute to the design of cost-effective and high-performance materials. His goal is to drive innovations that enhance structural integrity, safety, and durability in aerospace, automotive, and energy sectors. ⚙️📈🧪

🏅 Awards & Recognitions

Mr.Omiyale Babatunde Olamide is a recognized professional in his field, having earned memberships and certifications that validate his technical acumen and leadership. He is a Registered Engineer (R.Eng) with the Council for the Regulation of Engineering in Nigeria (COREN) and a Corporate Member of the IAENG Society of Mechanical Engineering. In 2011, he was awarded the HSE Supervisor Certification from OSHA USA Academy, graduating with distinction. His affiliations with professional bodies such as Nigerian Association of Technologists in Engineering (NATE) and The Canadian Society of Mechanical Engineering (CSME) reflect his global reach and commitment to best practices. These honors not only recognize his technical competence but also his dedication to safety, innovation, and academic excellence. His sustained engagement in research and teaching has garnered respect from peers and institutions alike. 🏆🎖️📜

📚 Publications Top Notes

Wire arc additive manufacturing of aluminium alloys for aerospace and automotive applications: A review

Corrosion, corrosion fatigue, and protection of magnesium alloys: mechanisms, measurements, and mitigation

Hot deformation behaviour, constitutive model description, and processing map analysis of superalloys: An overview of nascent developments

Additive manufacturing in the oil and gas industries: A review

A review on the corrosion fatigue strength of surface-modified stainless steels

Electrochemical properties of MgZnCa-based thin film metallic glasses fabricated by magnetron sputtering deposition coated on a stainless steel substrate

Mechanical behaviour of polylactic acid parts fabricated via material extrusion process: A taguchi-grey relational analysis approach

Stress-corrosion and corrosion-fatigue properties of surface-treated aluminium alloys for structural applications

Corrosion performance of wire arc additive manufacturing of stainless steel: a brief critical assessment

Electrochemical properties of heat-treated Al alloy A6061-T6 in 0.5 M H2SO4 solution

✅ Conclusion

Omiyale Babatunde Olamide is an outstanding nominee for this award. With a decade of engineering excellence, academic leadership, and impactful research, he has consistently demonstrated innovation, technical rigor, and collaborative spirit. His diverse publication record, hands-on industrial experience, and global academic footprint reflect his dedication to solving real-world engineering problems through science and technology. He bridges academic theory and industrial application with unique expertise in additive manufacturing, corrosion science, and advanced materials. Omiyale’s journey from Nigeria to Canada embodies resilience, intellectual curiosity, and purpose-driven ambition. His contributions are not only impactful within mechanical engineering but also aligned with sustainable development goals and industry 4.0 standards. This nomination recognizes not just his past achievements but his potential to lead transformative research for years to come. 🚀🌐

Shilong Zhong | Chemistry | Best Researcher Award

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Assoc. Prof. Dr. Shilong Zhong | Chemistry | Best Researcher Award

Assoc. Prof. Dr. Shilong Zhong, Guangdong University of Technology, China.

Assoc. Prof. Dr. Shilong Zhong is an Associate Professor at Guangdong University of Technology, China, specializing in photosensitive polymers and nanostructured materials. He earned his Doctor of Science from Sun Yat-sen University and has contributed to high-impact journals like Nature Communications and Materials Today Chemistry. His work focuses on optical encryption, polymer surface engineering, and has been supported by the National Natural Science Foundation of China, establishing him as a leading researcher in polymer science.

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Early Academic Pursuits

Dr. Shilong Zhong began his scholarly journey with a Bachelor of Engineering from Hebei University, laying a robust foundation in engineering sciences. He then pursued a Master of Science at Southwest University, where his interests deepened in the fields of chemical and material sciences. His academic trajectory culminated with a Doctor of Science degree from Sun Yat-sen University, a prestigious institution in China, where he honed his research skills and began his contributions to advanced polymer science.

Professional Endeavors

Dr. Zhong commenced his professional career with a Postdoctoral Fellowship at Guangdong University of Technology, engaging in cutting-edge research in polymer chemistry. In November 2024, he was appointed as an Associate Professor at the same institution, specifically in the School of Chemical Engineering and Light Industry. His role combines research leadership, academic mentorship, and active collaboration on national and international scientific projects.

Contributions and Research Focus On Chemistry 

Dr. Zhong’s research centers around the design and synthesis of photosensitive monomers and polymers. A significant aspect of his work involves nano-/micro-structure control on polymer surfaces, which has applications in optical encryption, flexible electronics, and advanced materials engineering. His innovative exploration of wrinkle formation and their functional application is at the forefront of smart material technology. His research themes seamlessly merge chemistry, materials science, and photonics, contributing to both theoretical advancement and industrial relevance.

Impact and Influence

Through his work, Dr. Zhong has significantly influenced polymer surface engineering by developing novel photonic and mechanical patterning methods. His research published in top-tier journals like Nature Communications and Materials Today Chemistry showcases his international impact. These contributions have implications for next-generation circuit design, data encryption, and wearable electronics, positioning him as a leading innovator in functional materials.

Research Skills

Dr. Zhong possesses strong interdisciplinary research skills, including organic synthesis, polymerization technology, surface patterning, and nano/microfabrication techniques. He is particularly adept at employing azobenzene photoisomerization, solvent engineering, and cross-linking strategies to fabricate complex surface architectures. His collaborative work demonstrates his proficiency in experiment design, data interpretation, and project leadership.

Awards and Honors

Dr. Zhong has been entrusted with pivotal roles in nationally funded research, notably in the National Key Research and Development Program of China (2023YFB3812400) and the National Natural Science Foundation of China (52350233, 52303370). His recognition at this level underscores his scientific excellence and leadership potential within China’s academic and research ecosystem.

Academic Citations

Dr. Zhong’s articles have appeared in top-tier international journals, gaining significant citations due to their novelty, clarity, and practical implications. His research on optical encryption, metal patterning, and surface design is frequently cited by peers across materials science, nanotechnology, and applied chemistry disciplines, confirming his growing academic footprint and reputation as a rising expert.

Legacy and Future Contributions

As an emerging scholar, Dr. Zhong’s trajectory suggests a future of profound scientific and technological contributions. He is poised to lead multi-disciplinary research initiatives that bridge fundamental polymer chemistry and applied engineering solutions. His commitment to innovation and collaboration positions him to shape the next generation of materials research, particularly in secure data technologies, smart coatings, and flexible optoelectronics.

Publications Top Notes


Controlling the formation and application of wrinkles on polymer substrates
Journal: Materials Today Chemistry
Year: 2025
Volume: 47, Article ID: 102892

Designed wrinkles for optical encryption and flexible integrated circuit carrier board
Journal: Nature Communications
Year: 2024
Volume: 15, Article ID: 5616

Palladium-assisted metal patterning on polyimide surfaces
Journal: Chinese Journal of Polymer Science
Year: 2022
Volume: 40, Pages: 1287–1296

Dynamic surface gratings for optical encryption: A simple approach based on azobenzene photoisomerization and solvent engineering
Journal: Chemical Engineering Journal (Chem Eng J.)
Year: 2024
Volume: 497, Article ID: 154589

Interfacial wrinkling structures based on a double cross-linking strategy enable a dual-mode optical information encryption
Journal: ACS Applied Materials & Interfaces
Year: 2024
Volume: 16, Issue: 32, Pages: 43006–43015

 

 

Jessica Hassel | oncology | Best Researcher Award

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Prof. Jessica Hassel | oncology | Best Researcher Award

Prof. Jessica Hassel, Heidelberg University Hospital, Germany.

Prof. Dr. med. Jessica C. Hassel is a renowned expert in dermato-oncology and serves as Section Head at the National Center for Tumor Diseases (NCT), Heidelberg. With an H-index of 68, she has authored over 650 publications and is a Highly Cited Researcher. She directs the Skin Cancer Center and is a board member of CCC. Her groundbreaking work in immunotherapy and melanoma research has earned her multiple accolades, including the German Skin Cancer Award and the MSD Health Prize.

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