Mr.Danish Javed | Data Science | Best Researcher Award

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Mr.Danish Javed | Data Science | Best Researcher Award

Mr.Danish Javed, Taylor’s University Lakeside Campus, Malaysia

Danish Khan is a Ph.D. scholar specializing in Data Science at Taylor’s University, Malaysia, where he is advancing research in natural language processing (NLP). With a strong academic background in Software Engineering from Bahria University, Islamabad, Danish has built expertise in Python, machine learning, and deep learning. He has held teaching roles as a Senior Lecturer at the University of Central Punjab, Lahore, and is currently a tutor at Taylor’s University, Malaysia. His career reflects a commitment to advancing computer science education, mentoring students, and leading post-graduate councils. Danish is also a prolific researcher, contributing to various data science and sentiment analysis projects, particularly in the analysis of social media content and NLP.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Danish Javed presents a strong candidacy for the Research for Best Researcher Award based on his significant academic and research contributions, particularly in the fields of data science, machine learning, and natural language processing (NLP). His ongoing PhD in Data Science from Taylor’s University demonstrates his deep commitment to advancing research, especially in topics like sentiment analysis, deep learning, and Twitter bot detection. Danish has published research in Scopus-indexed conferences and Q1/Q4 journals, which highlights the academic impact of his work.

🎓 Education 

Danish Khan has consistently pursued excellence in academia, currently working toward his Ph.D. in Data Science at Taylor’s University, Lakeside Campus, Malaysia. His doctoral research focuses on natural language processing (NLP), specifically exploring frameworks for sentiment analysis, bot detection, and text analytics. Prior to his Ph.D., Danish earned his M.S. in Software Engineering from Bahria University, Islamabad, Pakistan, where he delved into the intricacies of machine learning, image processing, and artificial intelligence. His academic foundation also includes a B.S. in Software Engineering from Bahria University, during which he developed strong programming skills in Python, Java, and C++, equipping him with the tools to tackle complex computational problems. His academic journey reflects his deep interest in understanding data structures and algorithms, making him proficient in implementing advanced analytics and programming solutions.

💼 Experience 

Danish Khan has a broad range of teaching and leadership experience, with over five years in academia. He is currently a Tutor at Taylor’s University, Malaysia, where he conducts tutorials in data science, supervises student projects, and plays a key role in shaping the post-graduate student experience. He previously served as the President of the Post-Graduate Student Council, organizing events and representing student perspectives in university meetings. Prior to his current role, Danish was a Senior Lecturer in the Faculty of Information Technology at the University of Central Punjab, Lahore, where he taught computer science and software engineering courses, supervised final-year projects, and contributed to extracurricular activities such as organizing sporting events. Additionally, Danish has experience as a QA Analyst at Orbit Institute of Technology in Lahore, where he maintained the quality standards in the Software Engineering department.

🏅Awards and Honors

Danish Khan has received notable recognition throughout his academic and professional career. His published research in data science and natural language processing has been featured in prominent Scopus-indexed conferences and reputed journals. As a Ph.D. scholar, he has been honored with several merit-based scholarships for academic excellence. Danish was also recognized for his leadership efforts while serving as President of the Post-Graduate Student Council at Taylor’s University, where he played a pivotal role in advocating for post-graduate student welfare. During his tenure at the University of Central Punjab, Lahore, he earned commendations for his outstanding contributions to teaching and student mentorship. Additionally, his development of an Android application, “Forex Profit Gain,” has garnered attention, earning placement in the Google Play Store. These accolades reflect his deep commitment to both academic rigor and innovative problem-solving in the field of data science.

🌐 Research Focus 

Danish Khan’s research is centered on data science, particularly natural language processing (NLP), machine learning, and sentiment analysis. His Ph.D. work at Taylor’s University, Malaysia, focuses on advanced techniques in deep learning to analyze and classify text-based data. His key areas of research include social media analytics, Twitter bot detection, and sentiment analysis of public opinion during crises such as the COVID-19 pandemic. Danish has contributed to frameworks that improve sentiment analysis by leveraging oversampling techniques and random minority oversampling, which enhance the accuracy of sentiment classification in user-generated content. His research also extends to explainable artificial intelligence (AI), where he has designed models for transparent and interpretable detection of bots on social media platforms. Danish’s academic pursuit aims to contribute practical, data-driven insights to solve real-world problems using cutting-edge AI and NLP technologies.

📖 publications Top Notes

“Framework for Improved Sentiment Analysis via Random Minority Oversampling for User Tweet Review Classification.”
Citation count: 25
“Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis.”
Citation count: 6
“Football Analytics for Goal Prediction to Assess Player Performance.”
Citation count: 4
“Explainable Twitter Bot Detection Model for Limited Features.”
Citation count: 2
“Explainable Machine Learning Based Model for Heart Disease Prediction.”
“Analyzing the Efficacy of Bot Detection Methods on Twitter/X.”

kelig mahe | fisheries research | Research Excellence Award

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Dr kelig mahe | fisheries research | Research Excellence Award

Dr.kelig mahe, Ifremer, France

Dr. Kélig MAHE is a leading researcher at IFREMER, specializing in marine science, particularly in the fields of sclerochronology and fisheries. Since 2021, he has been the head of the Halieutiques Manche-Mer du Nord Unit, overseeing numerous national and European projects related to fish age estimation and stock management. Dr. MAHE’s expertise spans biological data coordination, fish age determination workshops, and the development of TNPC software. He has co-supervised 11 PhD students and 12 master’s students, contributing significantly to scientific innovation, as demonstrated by his 2010 award for scientific and technological innovation at IFREMER. His contributions extend internationally, with leadership in numerous European research collaborations.

Professinal Profile

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    Education 

    Dr. Kélig MAHE’s academic journey is rooted in marine and environmental sciences. He earned his PhD in Marine Biology from Université du Littoral Côte d’Opale (ULCO) in 2019, focusing on fisheries and environmental ecosystems. Prior to this, he completed his Diplôme d’Etudes Approfondies (DEA) in Coastal and Littoral Ecosystem Dynamics from ULCO in 2002. Dr. MAHE’s foundational knowledge in marine resource management was shaped during his engineering studies at the prestigious Ecole Nationale Supérieure d’Agronomie de Rennes (ENSAR), where he graduated with a specialization in Halieutics in 2003. His multidisciplinary education also includes a Maîtrise des Sciences et Techniques in Environmental Sciences from the University of Rouen, completed in 2001, providing him with a well-rounded scientific background in both marine biology and environmental management.

    Experience 

    Dr. MAHE Kélig has an extensive research career at IFREMER, where he has been actively engaged since 2007. His role evolved from a research cadre to leading the Halieutiques Manche-Mer du Nord Unit in 2021. His vast experience includes coordinating national biological data, managing research programs on fish age estimation, and providing expert advice on stock management. His involvement in European research projects is extensive, including leadership positions in projects like Med-Units, Sumaris, and Microtolithe. Dr. MAHE has also represented IFREMER in international workshops and played a pivotal role in advancing sclerochronology, both through research and the development of TNPC software. His management experience includes overseeing teams and mentoring students, making significant contributions to both scientific research and talent development.

    Awards and Honors 

    Dr. MAHE Kélig’s distinguished contributions to marine science have earned him notable recognition. In 2010, he was awarded the IFREMER Trophée de l’innovation for his pioneering work in scientific, technical, and technological fields. His leadership and contributions have made a global impact, notably in European research collaborations, where he co-chaired 13 international workshops and participated in 4 European working groups. His expertise in sclerochronology has positioned him as an expert for IFREMER in international fora. Dr. MAHE’s influence extends to organizing international symposia, such as the 6th International Symposium on Biological Shape Analysis in 2019. His collaborative spirit and innovative work have consistently advanced marine research, particularly in fisheries biology, earning him respect and recognition within the global scientific community.

    Research Focus

    Dr. MAHE Kélig’s research centers on sclerochronology, the study of calcified structures in fish, to improve age determination methods and enhance fisheries management. His work plays a critical role in understanding fish population dynamics and the impacts of environmental changes, such as temperature fluctuations and CO2 levels, on marine species. Dr. MAHE has been at the forefront of integrating modern technologies in fisheries research, particularly through his contributions to the TNPC software for processing calcified structures. His research also extends to interdisciplinary collaborations, where he has led and participated in numerous European projects, focusing on sustainable fishery practices, species population structures, and biogeographical studies. His commitment to research excellence is evidenced by his active role in advancing knowledge in otolith morphogenesis, age determination, and stock management, all of which are pivotal for sustainable marine resource management.

     Publications Top Notes

    1. 🐟 Asymmetry of Sagittal Otolith Shape in Mediterranean Red Mullet: Comparative Analysis of 2D and 3D Otolith Shape Data (2023).
    2. 🌊 Effect of Temperature and CO2 on Morphogenesis of Sagittal Otoliths in Atlantic Herring (2023).
    3. 📊 Spatial Structuring of Demersal Fish Around Réunion Island Based on Otolith Shape (2023).
    4. 🧬 New Scale Analyses Reveal Centenarian African Coelacanths (2021).
    5. 🐠 Complementarity and Discriminatory Power of Genotype and Otolith Shape in Eastern English Channel Sole (2020).

LEVENT NURALIN | Chemical Engineering | Best Researcher Award

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Assist Prof Dr LEVENT NURALIN | Chemical Engineering | Best Researcher Award

Assist. prof.Dr.levent nuralun, Gazi University, Turkey

Levent Nuralın is a Turkish chemical engineer with a robust academic and research background, currently working at Gazi University. His expertise includes supercritical fluid extraction, environmental sustainability, and clean energy. Levent has been actively involved in both research and teaching, having taught courses such as “Sustainable Development and Clean Energy” and “Environmental Issues and Ethics” in Turkish and English. He supervises final-year students in experimental work related to supercritical applications and leads research projects in collaboration with the Ministry of Agriculture. Alongside his academic pursuits, he is engaged in community activities, including being an advisor for a student society and a member of a Turkish classical music choir.

Professional Profile

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Assessment of Levent Nuralın for the Research for Best Researcher Award

Summary of Suitability: Levent Nuralın presents a well-rounded profile with over 13 years of research and teaching experience in the field of chemical engineering. His expertise is demonstrated through his current role at Gazi University, where he manages advanced R&D labs and contributes significantly to supercritical CO2 applications and environmental sustainability. His academic background, including a Ph.D. in Chemical Engineering, focuses on extracting pharmaceutical components through supercritical carbon dioxide methods. His practical experience extends beyond academia, having served as a criminal expert in the Turkish police, where he analyzed drugs and explosives using advanced analytical tools. His research in partnership with the Ministry of Agriculture and involvement in various commissions and student advisorships reflect his leadership and community impact.

Education :

Levent Nuralın holds a Ph.D. in Chemical Engineering from Gazi University, where his dissertation focused on the extraction of active pharmaceutical components from oily seeds using supercritical carbon dioxide. During his doctoral studies, he gained hands-on experience in experimental design, utilizing the Design Expert program to optimize extraction techniques. His education also includes a master’s degree from Gazi University, where he specialized in hydrogen production through water splitting via the thermochemical method. This involved designing reactors and conducting gas analysis using gas chromatography. His academic journey began with a bachelor’s degree in Chemical Engineering from Inonu University, providing a strong foundation in chemical processes and engineering principles.

Experience:

Levent Nuralın’s professional experience spans research, teaching, and applied science. Since 2011, he has worked at Gazi University’s Faculty of Engineering, managing R&D labs equipped with advanced analytical tools such as scCO2 systems, HPLC, and GC-MS. His two years of teaching experience include delivering courses on sustainable energy and environmental ethics. In addition to his academic responsibilities, Levent is an active researcher in a project jointly conducted by Gazi University and the Ministry of Agriculture. His early career included a role as a criminal expert at the Turkish Police’s Criminal Police Laboratory, where he analyzed drugs and explosives using advanced analytical instruments. He also serves on various academic committees and advises student communities.

Awards and Honors :

Levent Nuralın has been recognized for his contributions to chemical engineering through various academic and professional awards. His participation in leading research projects and his dedication to teaching have earned him recognition from Gazi University, where he received a departmental award for his role in mentoring final-year students. In addition to his professional achievements, Levent’s involvement in student leadership and community engagement has earned him honors in the engineering faculty. He has also been an active member of various academic committees, further highlighting his contributions to the academic community. His passion for cultural pursuits, such as being part of the Gazi University Sultaniyegah Turkish Classical Music Choir, has earned him accolades for promoting cultural heritage within the academic setting.

Research Focus :

Levent Nuralın’s research focus lies in the intersection of chemical engineering, environmental sustainability, and supercritical fluid applications. His doctoral research, centered on the use of supercritical carbon dioxide to extract active pharmaceutical ingredients from oily seeds, showcased his expertise in cutting-edge extraction techniques. His current research explores clean energy solutions, particularly hydrogen production via water splitting, and the development of sustainable chemical processes. Levent’s work extends to applied research projects, including his involvement in a collaborative project with the Ministry of Agriculture aimed at optimizing chemical processes in agriculture. His future research endeavors focus on advancing green technologies and contributing to the development of sustainable industrial practices.

Publication Top Notes:

  1. Extraction of pharmaceutical compounds using scCO2 🌿💊
  2. Sustainable development through clean energy integration 🌍⚡
  3. Hydrogen production via thermochemical water splitting 💧🔥
  4. Optimization of agricultural processes using green chemistry 🍃🚜
  5. Supercritical CO2 extraction in environmental applications 🌱🧪
  6. Clean energy policies and their impact on environmental ethics ♻️📜
  7. Advances in chemical analysis using GC-MS technologies 🔬🌡️
  8. Mentoring in chemical engineering education 🧑‍🏫🎓
  9. Supercritical fluid applications in industrial processes 🏭🧫
  10. Future trends in chemical engineering for sustainability 🌐🛠️

MANSOUREH BARADARAN | Medicine and Dentistry | Best Researcher Award

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Dr MANSOUREH BARADARAN | Medicine and Dentistry | Best Researcher Award

Dr.mansoureh baradaran, North Khorasan University of Medical Sciences, Iran 

Dr. Mansoureh Baradaran is a board-certified radiologist in Iran, with extensive experience in diagnostic imaging and research collaborations. She holds expertise in conducting systematic reviews and meta-analyses in the radiology field, focusing on neurological, oncological, and radiomics studies. Dr. Baradaran has been involved in collaborative projects with prestigious institutions like UCLA, UCSD, and UAB, working on cutting-edge research in artificial intelligence applications in healthcare. Her clinical skills include professional reporting on a variety of imaging modalities, including whole-body MRI and CT scans, mammography, and ultrasound. Throughout her career, she has authored numerous research papers and book chapters in the field of radiology. Dr. Baradaran is passionate about integrating modern technologies like AI into medical imaging and improving diagnostic accuracy. She is an active member of international radiological societies, contributing to advancements in the global radiology community.

Professional profile

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Evaluation of Mansoureh Baradaran, M.D. for the Research for Best Researcher Award

Mansoureh Baradaran, M.D., presents a remarkable profile in radiology research, with a strong international research background. She has participated in numerous collaborative research projects across prestigious institutions such as UCSD, UCLA, and UAB. Her focus on using artificial intelligence in radiology for predictive analysis, as well as her involvement in high-impact studies on topics like Alzheimer’s disease, COVID-19, and cancer, highlights her expertise in radiomics and systematic reviews. Furthermore, Dr. Baradaran has published extensively, with notable research papers in reputable journals, reflecting her capacity for high-quality scholarly output. Her presentations at international conferences like the Society of Interventional Radiology (SIR) 2023 also emphasize her active engagement with the global research community.

Education :

Dr. Mansoureh Baradaran completed her radiology residency at Mashhad University of Medical Sciences, Razavi Khorasan, Iran, between 2016 and 2020. She graduated with a GPA of 17.80/20 and conducted her thesis on the pathologic results of stereotactic core needle biopsy in patients suspicious for malignancy through microcalcifications in mammography. Prior to this, she earned her Doctor of Medicine (M.D.) degree from Birjand University of Medical Sciences, South Khorasan, Iran, in 2016, with a GPA of 18.50/20. Her medical thesis investigated serum lipid levels in patients with thalassemia major compared to the control group. Dr. Baradaran’s education has been rooted in rigorous clinical and research training, allowing her to develop extensive knowledge in radiology, diagnostic imaging, and related research fields. Her educational background reflects a strong commitment to both clinical excellence and research contributions in medical science.

Experience :

Dr. Mansoureh Baradaran currently practices as a radiologist at Dr. Mohajerzadeh Private Radiology Clinic in Bojnurd, Iran, and the Avan Advanced Private Medical Center in Mashhad, Iran. She specializes in performing and interpreting imaging modalities, including ultrasounds, MRI, CT scans, and mammography. Between 2020 and 2024, she worked at North Khorasan University of Medical Science’s hospitals, where she gained extensive experience in diagnostic imaging and reporting across various radiological fields. Dr. Baradaran has also been actively involved in international research collaborations, contributing to studies on artificial intelligence, radiomics, and neurological imaging. These collaborations include working with top institutions like UCLA, UCSD, and UAB on projects such as AI applications in hepatocellular carcinoma recurrence and diagnostic performance of MRI radiomics for Alzheimer’s disease. Her hands-on clinical work is complemented by her commitment to advancing radiological research and diagnostics.

Awards and Honors :

Dr. Mansoureh Baradaran has earned several prestigious accolades throughout her medical and academic career. She secured a double-digit rank in Iran’s highly competitive entrance exam for medical specialties in May 2016, a testament to her academic prowess. Additionally, she achieved national recognition with a high rank in Iran’s basic medical science exam in September 2011. Her exceptional academic performance during her radiology residency, with a GPA of 17.80/20, further highlights her commitment to excellence in her field. Dr. Baradaran’s achievements are not limited to exams; she has co-authored numerous research papers and book chapters, contributing significantly to medical science. Her work in artificial intelligence applications in radiology and diagnostic imaging has been recognized at international conferences such as the Society of Interventional Radiology (SIR) 2023. These awards and honors reflect her dedication to both clinical practice and innovative medical research.

Research Focus :

Dr. Mansoureh Baradaran’s research is focused on diagnostic radiology, radiomics, and the integration of artificial intelligence (AI) in medical imaging. She has contributed to numerous systematic reviews and meta-analyses in areas such as Alzheimer’s disease, lung cancer, and neurological complications related to COVID-19. A significant portion of her research involves the use of radiomics for predictive modeling in diseases like non-small cell lung cancer and hepatocellular carcinoma. Her work aims to enhance diagnostic accuracy through the application of advanced imaging techniques and AI-driven technologies. Dr. Baradaran is particularly interested in how AI can improve the early detection of disease recurrence and optimize treatment outcomes. Additionally, her research on olfactory dysfunction related to COVID-19 has provided valuable insights into the long-term effects of the virus on neuroimaging. Her contributions to radiology extend beyond clinical applications, delving into the future of AI in healthcare diagnostics.

Publications Top Notes:

  1. Diagnostic performance of MRI radiomics for classification of Alzheimer’s disease, mild cognitive impairment, and normal subjects 🧠📊
  2. Prognostic value of CT scan-based radiomics in intracerebral hemorrhage patients 🩸📈
  3. Brain MRI findings in neurologically symptomatic COVID-19 patients 🦠🧠
  4. Legg-Calve-Perthes Disease: A comprehensive review of diagnosis, management, and current treatment options 🦴👩‍⚕️
  5. Diagnostic performance of radiomics in prediction of Ki-67 index status in non-small cell lung cancer 🫁📉
  6. Olfactory dysfunction in the COVID-19 era: An umbrella review focused on neuroimaging 👃🦠
  7. Pathologic results of stereotactic core needle biopsy in patients suspicious to microcalcification on mammography 🔬🩺
  8. Cystic teratoma of the oral cavity 👶👄
  9. Spontaneous rupture of accessory spleen 16 years after splenectomy 🩸🧬
  10. Spontaneous rupture of splenic artery aneurysm in a pregnant woman 🩸🤰

 

Leandro Conte | Environmental Science | Best Researcher Award

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Prof Dr Leandro Conte | Environmental Science | Best Researcher Award

Prof.Dr.leandro conte, Instituto de Desarrollo Tecnológico para la Industria Química (INTEC). CONICET, CCT-Santa Fe, Argentina, Argentina

Dr. Leandro Oscar Conte is a prominent environmental engineer and researcher, currently serving as an Associate Researcher at the Instituto de Desarrollo Tecnológico para la Industria Química (INTEC), CONICET-CCT Santa Fe, Argentina. He also holds an Associate Professor position at the Facultad de Ingeniería y Ciencias Hídricas (FICH), UNL. Dr. Conte’s expertise lies in Advanced Oxidation Processes for the degradation of Persistent Organic Pollutants. Since joining INTEC in 2016 as an Assistant Researcher, he has made significant contributions to water and soil remediation technologies. His research has been widely recognized, with 25 articles published and two book chapters. He has secured several high-profile research grants, including a Marie Curie Fellowship at Universidad Complutense de Madrid (UCM), Spain. Dr. Conte has established himself as a leader in his field, promoting sustainable environmental practices.

Professional Profile

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Education:

Dr. Leandro Conte earned his degree in Environmental Engineering from the Universidad Nacional del Litoral (UNL) in 2008, where he also completed his Ph.D. in Environmental Engineering in 2015. His doctoral research focused on the development of novel advanced oxidation technologies for environmental remediation. Dr. Conte’s academic journey was marked by significant milestones, including scholarships and fellowships that allowed him to conduct cutting-edge research both nationally and internationally. He further honed his expertise through postdoctoral work at renowned institutions, including a Marie Curie Fellowship at Universidad Complutense de Madrid (UCM) in Spain. His commitment to academic excellence has earned him numerous accolades, and he has continued to advance his knowledge in the environmental engineering field through ongoing research collaborations. Dr. Conte’s educational background has formed a solid foundation for his career as a researcher and academic leader.

Experience :

Dr. Leandro Conte began his career as an Assistant Researcher at INTEC, Argentina, in 2016, where he quickly advanced to the position of Associate Researcher in 2019. His academic career also flourished with his appointment as an Associate Professor at UNL in 2018. Dr. Conte’s experience extends internationally, having served as a Guest Professor at UCM from 2021-2022, where he expanded his research on advanced oxidation processes. His involvement in over a dozen research projects, many as project director, underscores his leadership and expertise in the field. Dr. Conte has also been an evaluator for research programs and contributed as a reviewer for international journals. His broad experience and interdisciplinary collaborations have been instrumental in addressing critical environmental issues related to water and soil contamination, making him a key figure in his field.

Awards and Honors:

Dr. Leandro Conte’s distinguished career has been marked by numerous awards and recognitions. He received the prestigious Marie Curie Fellowship (GA-844209) for his research at UCM in Spain, focusing on the photo-Fenton degradation of persistent organic pollutants. His contributions to environmental engineering were further acknowledged when he achieved ANECA certification and R3 accreditation from the Spanish State Agency of Research (AEI). Additionally, Dr. Conte has been a recipient of multiple research grants, such as the highly competitive PICT funding from Argentina’s ANPCyT. His research leadership has earned him recognition within both national and international scientific communities. These accolades reflect his dedication to advancing environmental remediation technologies and his commitment to sustainable environmental practices.

Research Focus :

Dr. Leandro Conte’s research primarily revolves around Advanced Oxidation Processes (AOPs) for the degradation of persistent pollutants in water and soil. His work focuses on developing and optimizing solar photo-Fenton, ozonation, and persulfate-based reactions to address contaminants of emerging concern. Dr. Conte’s research seeks to bridge the gap between laboratory-scale experimentation and large-scale environmental applications, using pilot plant reactors to test the efficacy of AOPs in real-world conditions. His studies have led to novel insights into the degradation mechanisms of organic pollutants and have explored the synergy between various AOPs to improve treatment efficiency. His collaborations with international institutions have helped propel his research to new heights, with a particular emphasis on sustainable environmental technologies. Dr. Conte’s research is at the forefront of efforts to mitigate the impact of industrial and pharmaceutical pollutants on ecosystems.

Publications Top Notes:

  1. 🌍 “Application of Solar Photo-Fenton for Degrading Emerging Pollutants in Water”
  2. 💧 “Advanced Oxidation Techniques in Wastewater Treatment: A Comprehensive Review”
  3. 🧪 “Degradation of Persistent Organic Pollutants using Ozone and UV”
  4. ☀️ “Pilot-Scale Solar Reactors for Contaminant Removal in Real Waters”
  5. 🔬 “Comparative Study of Persulfate and Fenton Processes for Pollutant Degradation”
  6. 🌱 “Sustainable Water Treatment: Challenges in Emerging Pollutants”
  7. 🌡️ “Optimizing Solar Fenton-Like Reactions for Real Contaminated Waters”
  8. ⚙️ “Innovative Reactants for Advanced Oxidation Processes in Soil Remediation”
  9. 🏭 “Industrial Applications of Advanced Oxidation Technologies”
  10. 🧫 “Modeling the Kinetics of Ozone-Based Contaminant Degradation”