JianYu Chen | Pharmacology | Best Researcher Award

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Dr. JianYu Chen | Pharmacology | Best Researcher Award

Assistant Professor at Fujian University of Traditional Chinese Medicine, China.

Dr. JianYu Chen is an Associate Professor at Fujian University of Traditional Chinese Medicine, specializing in Pharmacodynamics and the mechanism of active components of Chinese medicine. She holds a Ph.D. in Chinese Medicine from Macao University of Science and Technology and has over five years of experience in academia. Dr. Chen’s research focuses on the treatment of autoimmune and inflammatory diseases using traditional Chinese medicine, with a particular emphasis on targeted inhibition of immune-inflammatory pathways and activation of antioxidant pathways for therapeutic purposes. She has received prestigious awards, including the Macao Special Administrative Region Graduate Science and Technology Research Award, and has published extensively in high-impact journals. Dr. Chen is committed to advancing the understanding and application of traditional Chinese medicine in modern healthcare.

Professional Profiles:

Education

Dr. JianYu Chen pursued her educational journey with a Bachelor’s degree in Chinese Pharmacy from Hubei University of Traditional Chinese Medicine (2007-2011). Building upon this foundation, she obtained a Master’s degree in Chinese Pharmacy from Fujian University of Chinese Medicine (2011-2014). Driven by a passion for research and academia, she further advanced her studies, earning a Doctoral degree in Chinese Medicine from Macao University of Science and Technology (2014-2018). Throughout her academic endeavors, Dr. Chen demonstrated a keen interest in pharmacodynamics and the mechanism of active components of Chinese medicine. Her educational path laid the groundwork for her impactful contributions to the field of traditional Chinese medicine.

Professional Experience

Dr. JianYu Chen has amassed valuable professional experience in the realm of academia and research. Commencing her career as a Lecturer at Fujian University of Chinese Medicine in September 2018, she contributed significantly to the academic environment. In December 2023, she elevated to the position of Associate Professor at the same institution, further solidifying her role in academia. Dr. Chen’s professional journey underscores her commitment to advancing knowledge and research in pharmacology, particularly in the domain of autoimmune and inflammatory diseases.

Research Interest

Dr. JianYu Chen’s research interests are primarily focused on pharmacodynamics and the mechanism of active components found in traditional Chinese medicine (TCM). She is particularly interested in exploring the effects and mechanisms of TCM active components in treating autoimmune and inflammatory diseases, such as rheumatoid arthritis, multiple sclerosis, and liver fibrosis. Her research endeavors aim to uncover novel therapeutic strategies derived from TCM that can effectively combat these debilitating conditions.

Award and Honors

Dr. JianYu Chen has garnered prestigious awards and honors in acknowledgment of her remarkable contributions to pharmacology and traditional Chinese medicine. Notably, she was awarded the Macao Special Administrative Region Graduate Science and Technology Research Award in 2018 for her groundbreaking research on active components from herbs against rheumatoid arthritis. This accolade, bestowed by the Macao SAR government, recognizes doctoral students who have significantly advanced knowledge in their field. Additionally, Dr. Chen received the Shanghai Plant Association Outstanding Paper Award in 2014 for her research on TCM active components against hypertrophic scars. These honors underscore Dr. Chen’s dedication to scientific inquiry and her innovative approach to addressing healthcare challenges through pharmacological research.

Research Skills

Dr. JianYu Chen possesses a diverse set of research skills honed through her extensive academic and professional experience in pharmacology and traditional Chinese medicine. Her expertise encompasses pharmacodynamics and the mechanisms of active components of Chinese medicine, with a focus on autoimmune and inflammatory diseases. Dr. Chen has demonstrated proficiency in experimental design, data analysis, and interpretation, enabling her to conduct impactful research in her field. She is adept at conducting literature reviews, experimental protocols, and statistical analyses to generate robust scientific evidence. Additionally, Dr. Chen has a strong background in molecular biology, cell culture techniques, and animal models, facilitating her investigations into the therapeutic potential of traditional Chinese medicine compounds. Her research skills enable her to contribute valuable insights to the understanding and treatment of inflammatory conditions, furthering advancements in pharmacology and healthcare.

Publications

  1. The function of sphingolipids in different pathogenesis of Alzheimer’s disease: A comprehensive review
    • Authors: Wang, X., Li, H., Sheng, Y., Qin, L., Meng, X.
    • Year: 2024
    • Citations: 2
  2. Network pharmacology-based study on mechanism of Zhi-Huang-Zhi-Tong powder in rheumatoid arthritis treatment 
    • Authors: Tian, X.-Y., Yang, Y.-J., Zheng, W.-T., Nan, L.-H., Chen, J.-Y.
    • Year: 2024
    • Citations: 0
  3. Exploring the therapeutic potential of natural compounds modulating the endocannabinoid system in various diseases and disorders: review
    • Authors: Wilson, G., Yang, L., Su, X., Chen, J., Ma, X.
    • Year: 2023
    • Citations: 0
  4. Corrigendum to “7-Deacetyl-gedunin suppresses proliferation of Human rheumatoid arthritis synovial fibroblast through activation of Nrf2/ARE signaling” [Int. Immunopharmacol. 107 (2022) 108557] (International Immunopharmacology (2022) 107, (S1567576922000418), (10.1016/j.intimp.2022.108557))
    • Authors: Chen, J., Zhu, G., Sun, Y., Ma, X., Zheng, Y.
    • Year: 2023
    • Citations: 0
  5. Corrigendum to “7-Deacetyl-gedunin suppresses proliferation of Human rheumatoid arthritis synovial fibroblast through activation of Nrf2/ARE signalling” [Int. Immunopharmacol. 107 (2022) 108557] (International Immunopharmacology (2022) 112, (S1567576922006646), (10.1016/j.intimp.2022.109180))
    • Authors: Chen, J., Zhu, G., Sun, Y., Ma, X., Zheng, Y.
    • Year: 2023
    • Citations: 0
  6. Magnolol as STAT3 inhibitor for treating multiple sclerosis by restricting Th17 cells
    • Authors: Chen, J.-Y., Tian, X.-Y., Wei, S.-S., Ma, X.-Q., Huang, M.-Q.
    • Year: 2023
    • Citations: 2
  7. Saikosaponin D alleviates cancer cachexia by directly inhibiting STAT3
    • Authors: Chen, L.-L., Xia, L.-Y., Zhang, J.-P., Guo, C., Xu, W.-H.
    • Year: 2023
    • Citations: 3
  8. Neobaicalein Inhibits Th17 Cell Differentiation Resulting in Recovery of Th17/Treg Ratio through Blocking STAT3 Signaling Activation
    • Authors: Chen, J.-Y., Yang, Y.-J., Ma, X.-Q., Zheng, Y.-F., Huang, M.-Q.
    • Year: 2023
    • Citations: 1
  9. Serum and brain metabolomic study reveals the protective effects of Bai-Mi-Decoction on rats with ischemic stroke
    • Authors: Yang, L., Su, X., Lu, F., Chen, J., Ma, X.
    • Year: 2022
    • Citations: 3
  10. Integration of pharmacodynamics and metabolomics reveals the therapeutic effects of 6-acetylacteoside on ovariectomy-induced osteoporosis mice
  • Authors: Liu, J., Ding, S., Yang, L., Chen, J., Ma, X.
  • Year: 2022
  • Citations: 3

Hanjoon Park | Seismic exploration | Best Researcher Award

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Dr. Hanjoon Park | Seismic exploration | Best Researcher Award

Post-doctoral Researcher at Research Institute of Energy and Resources, Seoul National University, South Korea.

Dr. Hanjoon Park is a dedicated researcher and geophysicist with expertise in seismic data processing, machine learning, and energy systems engineering. He completed his Ph.D. in Geophysics and Energy Systems Engineering at Seoul National University, where his doctoral research focused on self-supervised learning-based seismic interpolation techniques. With a strong background in Python, Fortran, and Matlab, Dr. Park has developed innovative seismic imaging algorithms and contributed to projects supported by the Korean government for carbon capture and storage (CCS) and geophysical exploration. As a post-doctoral researcher at Seoul National University’s Research Institute of Energy and Resources, he continues to advance his research in distributed acoustic sensing (DAS) modeling and full waveform inversion (FWI) for geological storage and monitoring survey applications. Dr. Park’s commitment to scientific excellence and interdisciplinary collaboration underscores his contributions to the field of geophysics.

Professional Profiles:

Education

Dr. Hanjoon Park earned his Ph.D. in Geophysics, Energy Systems Engineering from Seoul National University, Korea, completing his dissertation on “Self-supervised learning-based seismic interpolation technique using spectrum suppression through GFKI and masked UNet” from Mar. 2020 to Feb. 2024. Prior to his doctoral studies, he obtained a B.S. in Energy and Resources Engineering with top honors from the same institution, spanning Mar. 2016 to Feb. 2020.

Professional Experience

Dr. Hanjoon Park boasts a rich professional journey in geophysics and energy systems engineering. He currently serves as a Post-doctoral Researcher and Geophysicist at Seoul National University’s Research Institute of Energy and Resources, focusing on modeling and full waveform inversion (FWI) for distributed acoustic sensing (DAS) and participating in government-supported projects for carbon capture and storage (CCS). Prior to this role, Dr. Park worked as a Full-time Researcher at the Geophysical Prospecting Lab, also at Seoul National University. During this time, he delved into machine learning-based seismic data processing and imaging techniques, contributing significantly to advancements in seismic trace interpolation, noise attenuation, and 4D noise suppression. His expertise extends to conventional seismic data processing methods, where he developed various techniques using Python, Fortran, and Matlab. Dr. Park’s research endeavors have been instrumental in enhancing our understanding of geophysical exploration and its applications, particularly in the context of CCS monitoring.

Research Interest

Dr. Hanjoon Park’s research interests revolve around cutting-edge developments in geophysical exploration and energy systems engineering. His primary focus lies in the development of distributed acoustic sensing (DAS) modeling and full waveform inversion (FWI) techniques for geological storage and monitoring surveys. Additionally, he is deeply engaged in advancing machine learning-based DAS processing and imaging methods, aiming to revolutionize data analysis in the field of geophysics. Dr. Park is also dedicated to exploring innovative monitoring techniques for high-level radioactive waste facilities, contributing to the safe and sustainable management of nuclear energy resources.

Award and Honors

Dr. Hanjoon Park has received prestigious recognition for his contributions to the field of geophysics and energy systems engineering. Notably, he was honored with the Student Paper Presenter Award at the 2022 Fall Conference of the Korean Society of Earth and Exploration Geophysicists. Additionally, Dr. Park has been the recipient of esteemed fellowships, including the Fellowship for Fundamental Academic Fields in 2022 and the Presidential Science Scholarship from 2016 to 2019. These awards and fellowships underscore his commitment to academic excellence and innovation in his research endeavors.

Research Skills

Dr. Hanjoon Park possesses a diverse set of research skills that enable him to excel in the field of geophysics and energy systems engineering. He is proficient in the development of advanced seismic data processing and imaging techniques using machine learning algorithms, Python, Fortran, and Matlab. His expertise includes seismic trace interpolation, ambient noise attenuation, ground-roll attenuation, 4D noise suppression, FX deconvolution, frequency filtering, curvelet-based seismic interpolation, spectral balancing, amplitude balancing, and least square reverse time migration. Dr. Park also has experience in modeling and full waveform inversion (FWI) for distributed acoustic sensing (DAS), particularly focusing on geological storage and monitoring survey applications. His research skills enable him to contribute significantly to projects related to carbon capture and storage (CCS) and geophysical exploration, supported by the Korean government and other institutions.

Publications

  1. Ground-roll attenuation using dual-model self-supervised selective learning with blind horizontal convolutional neural networks
    • Authors: Son, Y.H., Park, H., Cho, Y., Min, D.-J.
    • Year: 2024
    • Citations: 0
  2. U-Net++ Based Subshallow Gas-Scattered Image Conditioning: Small-Scale Case Study of Seismic Data Acquired in the Korean East Sea
    • Authors: Lee, J., Lee, M.J., Park, H., Jun, H., Cho, Y.
    • Year: 2024
    • Citations: 0
  3. Improvement of Spectrum Suppression-Based Deep Learning Interpolation Technique
    • Authors: Park, H., Lee, J.-W., Min, D.-J.
    • Year: 2023
    • Citations: 1
  4. RECONSTRUCTION OF MISSING SEISMIC DATA USING COARSE REFINE NETWORK WITH UPSAMPLING AND F-K LOSS
    • Authors: Park, H., Lee, J., Min, D.
    • Year: 2022
    • Citations: 0
  5. Coarse-Refine Network With Upsampling Techniques and Fourier Loss for the Reconstruction of Missing Seismic Data
    • Authors: Park, H., Lee, J.-W., Hwang, J., Min, D.-J.
    • Year: 2022
    • Citations: 2

Hend Hafez | Pharmaceutical Chemistry | Best Researcher Award

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Prof Dr. Hend Hafez | Pharmaceutical Chemistry | Best Researcher Award

Professor Dr at National Research Center, Egypt.

Prof. Dr. Hend Nagah Hafez Mohammed, an Egyptian national, is a distinguished figure in the field of organic chemistry. With a Ph.D. from Cairo University, she serves as a Professor of Applied Organic Chemistry at the National Research Centre in Cairo, Egypt. Throughout her career, she has made significant contributions to the synthesis and study of heterocyclic compounds with potential biological activity. Dr. Hafez has a strong research background, with expertise in microwave irradiation techniques, chromatography, X-ray diffraction analysis, and spectroscopic interpretation. Her dedication to scientific inquiry is evident through her participation in numerous international conferences and research projects. As an educator, she has mentored postgraduate and undergraduate students, sharing her knowledge and passion for chemistry. Dr. Hafez’s commitment to advancing the field of organic chemistry underscores her status as a respected academic and researcher in Egypt and beyond.

Professional Profiles:

Education

Prof. Dr. Hend Hafez holds a Ph.D. in Chemistry obtained in 2007 from the Faculty of Science at Cairo University, Egypt. Prior to this, she completed her M.Sc. in Chemistry in 2003, also at Cairo University, followed by a B.Sc. in Chemistry from El-Azhar University in 1999. Throughout her academic journey, Dr. Hafez has demonstrated a commitment to advancing her expertise in the field of organic chemistry, with a focus on synthesis and reactions of polynuclear heterocyclic compounds, among other areas. Her educational background serves as a solid foundation for her subsequent professional endeavors in research and academia.\

Professional Experience

Prof. Dr. Hend Hafez boasts a distinguished career in organic chemistry, spanning both academia and research. Currently serving as a Professor of Applied Organic Chemistry at the National Research Centre in Cairo, Egypt, she leads pioneering research initiatives in the Heterocyclic and Nucleosides Unit. With extensive experience dating back to 2007, she has held various roles, including Associate Professor and Researcher, contributing significantly to the field’s advancement. Prof. Hafez’s expertise encompasses diverse areas such as synthesis, reactions of polynuclear heterocyclic compounds, and the study of nitrogenous compounds’ biological activity. Her dedication to organic chemistry is reflected in her active participation in international conferences and her supervision of numerous postgraduate students. Through her impactful research and academic leadership, Prof. Hafez continues to shape the landscape of organic chemistry, making profound contributions to scientific knowledge and discovery.

Research Interest

Prof. Dr. Hend Hafez, an accomplished organic chemist, focuses on synthesizing novel compounds and exploring their biological activities. With expertise in microwave-assisted synthesis and chromatography separation, she aims to develop efficient and environmentally friendly methods for compound preparation. Her research also delves into the design of combinatorial libraries to identify potential drug candidates. Through X-ray diffraction analysis, she investigates the molecular structures of organic compounds, shedding light on their chemical properties. Prof. Hafez’s work spans various areas of organic chemistry, contributing to advancements in drug discovery and chemical synthesis.

Award and Honors

Prof. Dr. Hend Hafez has received several awards and honors for her outstanding contributions to the field of organic chemistry. Some of her notable accolades include recognition from prestigious international conferences such as the 22nd International Congress in Heterocyclic Chemistry and the 3rd European Conference on Chemistry for Life Sciences. Additionally, she has been acknowledged for her research endeavors with awards from the National Research Center in Cairo, Egypt, where she serves as a Professor of Applied Organic Chemistry. Her dedication to scientific inquiry and innovative research methodologies has earned her the respect and admiration of her peers in the academic community.

Research Skills

Prof. Dr. Hend Hafez possesses a diverse set of research skills that enable her to excel in the field of organic chemistry. Her expertise includes synthetic and medicinal chemistry, microwave irradiation techniques for green chemistry, design and evaluation of combinatorial libraries, chromatography separation methods, and X-ray diffraction analysis for structural determination. She is proficient in interpreting instrumental data from various spectroscopic techniques such as Mass Spectrometry, IR, UV, and NMR spectroscopy. Additionally, Dr. Hafez is skilled in conducting statistical analysis and using computational tools for data interpretation. Her research skills enable her to investigate complex chemical reactions, develop novel compounds with potential biological activity, and contribute significantly to the advancement of organic chemistry.

Publications

  1. Design, synthesis, antiproliferative, antituberculosis and in-silico analysis of New Schiff base derivatives of cyclohepta[b]thiophene
    • Authors: Hafez, H.N., Abbas, H.-A.S., El-Sayed, A.F.
    • Year: 2024
  2. Exploring the Antiproliferative Potency of Pyrido[2,3-d]Pyrimidine Derivatives: Studies on Design, Synthesis, Anticancer Evaluation, SAR, Docking, and DFT Calculations
    • Authors: Abd-Alsalam, E., Hafez, H.N., Assay, M.G., … El-Farargy, A.F., Abbass, E.M.
    • Year: 2024
  3. Synthesis and Reactions of Thieno[2,3-c]quinolines from Arylaldehyde and Arylamine Derivatives: A Review (Part VIII)
    • Authors: Abu-Hashem, A.A., El-Gazzar, A.-R.B.A., Hafez, H.N., Abdelgawad, A.A.M., Gouda, M.A.
    • Year: 2024
    • Citations: 2
  4. Synthesis, design, and antimicrobial activity of pyrido[2,3-d][1,2,4]triazolo[4,3-a]pyrimidinones based on quinoline derivatives
    • Authors: Abu-Hashem, A.A., Yousif, M.N.M., El-Gazzar, A.-R.B.A., Hafez, H.N.
    • Year: 2023
    • Citations: 2
  5. Synthesis and Antimicrobial Activity of New Triazines, Tetrazines, Thiazinoquinoxalines, Thienotriazepine-imidazo[4, 5-b]quinolines from Isatin Derivatives
    • Authors: Abu-Hashem, A.A., El-Gazzar, A.B.A., Hussein, H.A.R., Hafez, H.N.
    • Year: 2023
    • Citations: 3
  6. Synthesis and Biological Evaluation of Novel Quinazoline, Chromene and Chromeno[2,3-d]pyrimidine Derivatives
    • Authors: Yousif, M.N.M., El-Gazzar, A.-R.B.A., Hafez, H.N., Yousif, N.M.
    • Year: 2022
    • Citations: 0
  7. Recent Advances in the Chemistry and Biological Activity of Sulfonamide Derivatives
    • Authors: Yousif, M.N.M., El-Gazzar, A.-R.B.A., Hafez, H.N., … Elrashedy, A., Yousif, N.M.
    • Year: 2022
    • Citations: 6
  8. Synthesis and Antimicrobial, Anticancer and Anti-Oxidant Activities of Novel 2,3-Dihydropyrido[2,3-d]pyrimidine-4-one and Pyrrolo[2,1-b][1,3]benzothiazole Derivatives via Microwave-Assisted Synthesis
    • Authors: Al-Mutairi, A.A., Hafez, H.N., El-Gazzar, A.-R.B.A., Mohamed, M.Y.A.
    • Year: 2022
    • Citations: 5
  9. Synthesis of Novel Pyridine Bearing Biologically Active Imidiazolyl, Pyrazolyl, Oxa/thiadiazolyl and Urea Derivatives as Promising Anticancer Agents
    • Authors: Hafez, H.N., El-Gazzar, A.-R.B.A.
    • Year: 2020
    • Citations: 6
  10. Design, synthesis, and biological evaluation of n-phenylpyrazole derivatives featuring nitrogen-containing side chains as potent antitumor agents
    • Authors: Hafez, H.N., El-Gazzar, A.-R.B.A., Ali, A.S., Alakhras, A.I.A.
    • Year: 2019
    • Citations: 3

 

Shahzeb Khan | Time series | Best Researcher Award

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Mr. Shahzeb Khan | Time series | Best Researcher Award

Assistant Professor at Sharda University, India.

Shahzeb Khan is a dedicated data scientist with a passion for teaching and research. Holding an M.Tech from Mahatma Gandhi Central University Bihar and a B.Tech from AKTU Uttar Pradesh, he has consistently demonstrated academic excellence. With professional experience as an Assistant Professor in Computer Science & Applications at Sharda University and Jagannath University College JIMS, Shahzeb has honed his skills in big data analytics, data science, and data analytics. He has also contributed to the field of data science as a freelance trainer and through his research endeavors, including a paper accepted in the prestigious journal Biomedical Signal Processing and Control. Shahzeb’s expertise spans statistical analysis, machine learning, deep learning, and programming languages like Python, R, and C. With a commitment to continuous learning and a diverse skill set, he seeks to make impactful contributions to the field of data science and academia.

Professional Profiles:

Education

Mr. Shahzeb Khan pursued his M.tech from Mahatma Gandhi Central University Bihar, graduating in 2023 with an impressive CGPA of 8.5. Prior to that, he completed his B.tech from AKTU Uttar Pradesh in 2020, achieving a CGPA of 6.8. His academic journey began with his Intermediate and Matriculation from CBSE in 2015 and 2013 respectively, where he demonstrated strong academic performance. Throughout his education, Shahzeb has shown a commitment to excellence and a passion for learning, evident in his consistent academic achievements and his pursuit of knowledge in diverse fields.

Professional Experience

Mr. Shahzeb Khan has garnered diverse professional experience across the fields of education, data science, and software development. Currently serving as an Assistant Professor of Computer Science & Applications at Sharda University, Greater Noida, he imparts knowledge in various subjects, demonstrating his expertise in big data analytics, data science, and data analytics. Previously, he held the position of Assistant Professor of Data Science at Jagannath University College JIMS, where he taught courses on data analytics and big data analytics. Additionally, Shahzeb has worked as a freelancer data science trainer, conducting training sessions for industries. He also gained valuable experience as a website developer intern at IIY Software Pvt Ltd and contributed as a key coordinator in the Time Series Machine Learning (TSML) 2023 summer training program at MGCUB. Through these roles, Shahzeb has showcased his versatility, leadership, and dedication to both academia and practical application in the field of data science and technology.

Research Interest

Mr. Shahzeb Khan’s research interests lie at the intersection of data science and healthcare, with a particular focus on clinical data analysis and predictive modeling. His research endeavors encompass the development and implementation of machine learning and deep learning techniques for analyzing medical data, especially electrocardiogram (ECG) time series data. He is passionate about leveraging advanced algorithms to enhance the accuracy of disease diagnosis and prognosis, particularly in the context of cardiovascular diseases. Additionally, Shahzeb is interested in exploring statistical, machine learning, and deep learning models for various healthcare applications, aiming to contribute to advancements in predictive analytics and personalized medicine.

Award and Honors

Mr. Shahzeb Khan has been recognized with several prestigious awards and honors for his outstanding contributions to the field of data science and academia. Noteworthy among these accolades is his certification as a Microsoft Technical Associate Front End Web Developer, showcasing his proficiency in web development technologies. Additionally, he has been acknowledged as a Certified Clinical Analyst, demonstrating his expertise in utilizing Software as a Service (SaaS) for clinical data analysis. Furthermore, Mr. Khan played a pivotal role as a key coordinator in the TSML (Time Series Machine Learning) 2023 Summer Training Program at MGCUB, highlighting his leadership and organizational skills. Moreover, his research paper titled “A Novel Hybrid GRU-CNN and Residual Bias (RB) based RB-GRU-CNN Models for Prediction of PTB Diagnostic ECG Time Series Data” was accepted in the prestigious Q1 journal Biomedical Signal Processing and Control, further solidifying his reputation as a distinguished researcher in the field. These honors underscore Mr. Shahzeb Khan’s dedication to excellence and his significant impact in advancing the realms of data science and healthcare analytics.

Research Skills

Mr. Shahzeb Khan possesses a diverse range of research skills that enable him to excel in the field of data science and academia. His proficiency in statistical analysis allows him to conduct rigorous evaluations of various models and techniques, aiding in the selection of optimal methodologies for data analysis and prediction. Furthermore, he demonstrates expertise in machine learning, deep learning, and artificial neural network (ANN) training, utilizing these techniques to develop advanced predictive models and algorithms. Additionally, Mr. Khan is adept at programming languages such as Python, R, and C, enabling him to implement complex algorithms and conduct extensive data manipulation tasks. His problem-solving abilities, coupled with a strong foundation in data structures and algorithms, empower him to tackle challenging research problems effectively. Moreover, Mr. Shahzeb Khan’s theoretical understanding of computer science concepts further enriches his research capabilities, allowing him to contribute meaningfully to the advancement of knowledge in his field.

 

 

 

Stefano Fabbri | Sedimentology | Best Researcher Award

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Dr. Stefano Fabbri | Sedimentology | Best Researcher Award

Post Doctorate at Bangladesh Institute of Geological Sciences, University of Bern, Switzerland.

Dr. Stefano Fabbri, born on July 6, 1987, in Basel, Switzerland, is a distinguished researcher in Earth Sciences. With a background in Applied Geophysics and Earth Sciences from ETH Zurich and extensive academic training, including a doctoral degree from the University of Bern, Dr. Fabbri has emerged as a leading expert in his field. His research interests primarily focus on seismic and bathymetric data analysis, sedimentological archives, and geological phenomena such as earthquakes and tsunamis. Dr. Fabbri’s professional journey includes roles as a Senior Research Assistant at the University of Bern and postdoctoral positions in France and Canada. He has made significant contributions to various research projects, demonstrating expertise in data acquisition, processing, and interpretation. With a passion for scientific exploration and a commitment to excellence, Dr. Fabbri continues to advance our understanding of Earth’s dynamics and geological processes.

Professional Profiles:

Education

Dr. Stefano Fabbri holds a Doctoral Degree from the Institute of Geological Sciences at the University of Bern, Switzerland, specializing in the Quaternary and Paleoclimatology group. Prior to his doctoral studies, he completed a Joint Master of Science in Applied Geophysics through the IDEA League Joint Master Program, which included stints at RWTH Aachen University in Germany and TU Delft in the Netherlands. His academic journey began with a Bachelor of Science in Earth Sciences from ETH Zurich, where he laid the groundwork for his subsequent research and professional pursuits. Dr. Fabbri’s multidisciplinary education has equipped him with a comprehensive understanding of geological processes and geophysical techniques, enabling him to contribute significantly to the field of Earth Sciences.

Professional experience

Dr. Stefano Fabbri, a seasoned researcher in Earth Sciences, currently serves as a Senior Research Assistant at the University of Bern. He specializes in geological research and lecturing on Geophysics. With expertise in seismic and bathymetric data analysis, Dr. Fabbri has supervised numerous theses and contributed to international projects on seismic activity and paleoclimate. Prior to his current role, he held postdoctoral positions in France and Canada, investigating seismic data related to earthquakes and tsunamis. His academic journey includes a doctoral degree from the University of Bern and an extensive research portfolio. Dr. Fabbri’s dedication to geological research and education underscores his commitment to advancing the field of Earth Sciences.

Research Interest

Dr. Stefano Fabbri’s research interests span various aspects of Earth Sciences, with a primary focus on seismic activity, paleoclimate, and paleoenvironmental studies. He is particularly interested in investigating sedimentological archives and seismic data to understand phenomena such as strong earthquakes, vertical coastal movements, and tsunamis. Additionally, Dr. Fabbri is engaged in research on paleoseismology, aiming to reconstruct past seismic events and their environmental impacts. His work also extends to the exploration of microplastics in lake sediments, reflecting a broader interest in environmental science and sustainability. Overall, Dr. Fabbri’s research endeavors contribute to a deeper understanding of Earth’s geological processes and their implications for climate change and environmental management.

Award and Honors

Dr. Stefano Fabbri’s contributions to the field of Earth Sciences have earned him recognition and honors throughout his career. Although specific awards and honors may not be listed in the provided information, his achievements in research and academia likely include acknowledgments such as publication awards, grants, and commendations for outstanding contributions to his field. These accolades highlight Dr. Fabbri’s dedication to advancing knowledge in Earth Sciences and underscore his excellence in research and scholarship.

Research Skills

Dr. Stefano Fabbri possesses a comprehensive set of research skills honed through years of academic and professional experience in Earth Sciences. His expertise encompasses various aspects of geological research, including seismic and bathymetric data acquisition, processing, and evaluation. Dr. Fabbri is proficient in conducting sedimentological analyses and interpreting geological archives to investigate phenomena such as earthquakes, coastal movements, and tsunamis. Moreover, he demonstrates proficiency in laboratory techniques, algorithm development, and the application of geospatial software for data analysis and interpretation. With a keen eye for detail and a rigorous scientific approach, Dr. Fabbri excels in designing and executing research projects, contributing valuable insights to the field of Earth Sciences.

Publication

  1. Seismic stratigraphy and sediment cores reveal lake-level fluctuations in Lake Iznik (NW Turkey) over the past ∼70 ka
    • Authors: Gastineau, R., Anselmetti, F.S., Fabbri, S.C., … Niessen, F., de Sigoyer, J.
    • Year: 2024
    • Citations: 0
  2. Late Pleistocene to Holocene event stratigraphy of Lake Hallstatt (Salzkammergut, Austria): revealed by the Hipercorig drilling system and borehole logging
    • Authors: Ortler, M., Brauer, A., Fabbri, S.C., … Reschreiter, H., Strasser, M.
    • Year: 2024
    • Citations: 0
  3. Holocene seismic activity in south-eastern Switzerland: Evidence from the sedimentary record of Lake Silvaplana
    • Authors: Bellwald, B., Nigg, V., Fabbri, S.C., … Gilli, A., Anselmetti, F.S.
    • Year: 2024
    • Citations: 1
  4. Climate-controlled sensitivity of lake sediments to record earthquake-related mass wasting in tropical Lake Towuti during the past 40 kyr
    • Authors: Tournier, N., Fabbri, S.C., Anselmetti, F.S., … Russell, J.M., Vogel, H.
    • Year: 2023
    • Citations: 1
  5. Lateral variations in the signature of earthquake-generated deposits in Lake Iznik, NW Turkey
    • Authors: Gastineau, R., Sabatier, P., Fabbri, S.C., … Ünsal, N.D., de Sigoyer, J.
    • Year: 2023
    • Citations: 1
  6. Traces of a prehistoric and potentially tsunamigenic mass movement in the sediments of Lake Thun (Switzerland)
    • Authors: Kremer, K., Fabbri, S.C., Evers, F.M., … Schweizer, N., Wirth, S.B.
    • Year: 2022
    • Citations: 2
  7. Postglacial evolution of Lake Constance: sedimentological and geochemical evidence from a deep-basin sediment core
    • Authors: Schaller, S., Böttcher, M.E., Buechi, M.W., … Wessels, M., Anselmetti, F.S.
    • Year: 2022
    • Citations: 7
  8. High-resolution calibration of seismically-induced lacustrine deposits with historical earthquake data in the Eastern Alps (Carinthia, Austria)
    • Authors: Daxer, C., Ortler, M., Fabbri, S.C., … Strasser, M., Moernaut, J.
    • Year: 2022
    • Citations: 5
  9. A Robust Workflow for Acquiring and Preprocessing Ambient Vibration Data from Small Aperture Ocean Bottom Seismometer Arrays to Extract Scholte and Love Waves Phase-Velocity Dispersion Curves
    • Authors: Lontsi, A.M., Shynkarenko, A., Kremer, K., … Anselmetti, F.S., Fäh, D.
    • Year: 2022
    • Citations: 4
  10. Subaqueous geomorphology and delta dynamics of Lake Brienz (Switzerland): implications for the sediment budget in the alpine realm
    • Authors: Fabbri, S.C., Haas, I., Kremer, K., … Girardclos, S., Anselmetti, F.S.
    • Year: 2021
    • Citations: 4

 

Mehmet F Dilekoglu | Micropollutants | Best Researcher Award

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Assoc Prof Dr. Mehmet F Dilekoglu | Micropollutants | Best Researcher Award

Assistant Professor at Harran University, Turkey.

Mehmet Fatih Dilekoğlu is an accomplished Associate Professor specializing in environmental engineering. With a Doctorate from Yildiz Technical University, Mehmet’s research focuses on environmental remediation and wastewater treatment technologies. He has a wealth of experience in academia, having served as a lecturer and assistant professor at Harran University. Mehmet’s dedication to research is evident through his supervision of numerous master’s theses, addressing key environmental challenges. His commitment to excellence in teaching and research has earned him recognition and awards within the academic community. Mehmet continues to contribute significantly to the field of environmental engineering through his innovative research and academic leadership.

Professional Profiles:

Education

Mehmet Fatih Dilekoğlu is an accomplished Associate Professor with a diverse academic background in environmental engineering. He obtained his Doctorate in Languages, Literatures, and Civilizations from Yildiz Technical University, specializing in the adsorption kinetics of heavy metals in aqueous medium. Prior to this, he completed a Master’s degree at Harran University, focusing on wastewater treatment techniques. With a Bachelor’s degree from Ataturk University, Mehmet has demonstrated a strong commitment to academia and research throughout his career. Currently serving as an Associate Professor at Harran University’s Faculty of Engineering, Department of Environmental Engineering, Mehmet has also held positions as an Assistant Professor and Lecturer at the same institution. He has supervised numerous Master’s theses, contributing significantly to the field of environmental engineering. His dedication to research and education underscores his passion for advancing knowledge in environmental science.

Professional Experience

Mehmet Fatih Dilekoğlu has held various academic positions throughout his career, demonstrating his expertise and dedication to environmental engineering. He began his professional journey as a Lecturer at Harran University’s Faculty of Engineering, Department of Environmental Engineering, where he taught and mentored students from 1995 to 2002. Subsequently, he served as a Lecturer at Harran University’s Şanlıurfa Vocational School, specializing in technical programs, from 1994 to 1995. Over the years, Mehmet’s contributions to academia expanded as he transitioned to the role of Assistant Professor at Harran University’s Faculty of Engineering, Department of Environmental Engineering, where he served from 2015 to 2018. Currently, Mehmet holds the esteemed position of Associate Professor at Harran University’s Faculty of Engineering, continuing his impactful work in environmental engineering research, teaching, and supervision of graduate theses. His extensive professional experience underscores his expertise and commitment to advancing the field of environmental engineering.

Research Interest

Mehmet Fatih Dilekoğlu’s research interests encompass a broad spectrum of topics within the field of environmental engineering. He is particularly focused on innovative approaches to water and wastewater treatment, including the investigation of novel techniques for the removal of pollutants from water sources. Additionally, he explores sustainable solutions for solid waste management, with an emphasis on resource recovery and recycling strategies. Mehmet is also interested in the development of renewable energy technologies and their integration into environmental management practices. His research endeavors aim to address pressing environmental challenges and contribute to the advancement of sustainable development goals. Through interdisciplinary collaboration and cutting-edge research methodologies, Mehmet seeks to generate knowledge that can inform evidence-based solutions for environmental conservation and management.

Award and Honors

Mehmet Fatih Dilekoğlu has received recognition and accolades for his contributions to the field of environmental engineering. His dedication and scholarly achievements have earned him several awards and honors, highlighting his commitment to excellence in research and academia. These awards may include recognition for outstanding research publications, innovative contributions to environmental technology, or excellence in teaching and mentorship. Mehmet’s accolades underscore his significant impact on advancing knowledge and addressing critical environmental challenges through his research endeavors.

Research Skills

Mehmet Fatih Dilekoğlu possesses a diverse range of research skills that enable him to excel in the field of environmental engineering. His expertise encompasses various areas of research methodology, data analysis, and experimental techniques. Mehmet is proficient in conducting comprehensive literature reviews to identify gaps in existing knowledge and formulate research hypotheses. He is skilled in designing and implementing experiments, as well as collecting and analyzing data using advanced statistical methods and software such as SPSS. Additionally, Mehmet demonstrates proficiency in writing research proposals, scientific reports, and scholarly articles for publication in peer-reviewed journals. His research skills enable him to contribute significantly to the advancement of environmental engineering knowledge and address pressing environmental issues through rigorous scientific inquiry and innovative solutions.

Publications

  1. Adsorption of naproxen pharmaceutical micropollutant from aqueous solutions on superior activated carbon synthesized from sheep manure: Kinetics, thermodynamics, and mechanism
    • Authors: Fatih Dilekoglu, M., Yapici, M.
    • Year: 2023
    • Citations: 4
  2. Groundwater potential mapping with geographical information techniques for a sustainable environment in Haliliye Basin, Turkey
    • Authors: Aslan, V., Dilekoğlu, M.F.
    • Year: 2022
    • Citations: 2
  3. The impact of biochar and carbonates carbon on CO2-C emission and soil sequestration
    • Authors: Dilekoglu, M.F., Sakin, E.
    • Year: 2022
    • Citations: 1
  4. Determination of groundwater potential distribution of Ceylanpinar Plain (Turkey) in Upper Mesopotamia by using geographical information techniques and Fuzzy-AHP with MCDM
    • Authors: Dilekoglu, M.F., Aslan, V.
    • Year: 2022
    • Citations: 11
  5. Malachite green adsorption from aqueous solutions onto biochar derived from sheep manure: adsorption kinetics, isotherm, thermodynamic, and mechanism
    • Authors: Dilekoğlu, M.F.
    • Year: 2022
    • Citations: 10
  6. Carbon dynamics in salt-Affected calcareous soils in southeast Turkey
    • Authors: Celik, A., Sakin, E., Yalcin, H., Dilekoglu, M.F., Seyrek, A.
    • Year: 2019
    • Citations: 0
  7. Effect of temperature and humidity in soil carbon dioxide emission
    • Authors: Dilekoğlu, M.F., Sakin, E.
    • Year: 2017
    • Citations: 11
  8. Determination of carbon emissions in shallow soil of Harran Plain, Turkey
    • Authors: Dilekoğlu, M.F., Sakin, E.
    • Year: 2017
    • Citations: 3
  9. Plasma Treated Sepiolite: A New Adsorbent for Removal of Malachite Green from Contaminated Water
    • Authors: Kaya, M., Dilekoğlu, M.F., Şahin, Ö., Saka, C.
    • Year: 2016
    • Citations: 20
  10. Use of genetic algorithm optimization technique in the adsorption of phenol on banana and grapefruit peels
    • Authors: Dilekoglu, M.F.
    • Year: 2016
    • Citations: 7

 

Alma-Pierre Bonnet | Social Sciences | Best Researcher Award

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Dr. Alma-Pierre Bonnet | Social Sciences | Best Researcher Award

MCF at Jean Moulin University Lyon 3, France.

Alma-Pierre Bonnet, PhD, is a distinguished academic specializing in British civilization and politics. Holding a Doctorate in Languages, Literatures, and Civilizations from the University of Bourgogne Franche-Comté, Alma-Pierre has cultivated extensive expertise in this field. Currently serving as a Maître de Conférences at the University of Lyon, he previously held the position of PrAg of English at Sciences Po Lyon. Alma-Pierre’s research interests revolve around various facets of British history, including political developments and the Franco-British relationship. With a strong commitment to academic excellence, he excels in teaching and research, contributing significantly to his field. Alma-Pierre’s dedication to advancing knowledge in British studies is evident in his diverse roles and scholarly contributions, making him a respected figure in academia.

Professional Profiles:

Education

Alma-Pierre Bonnet’s academic journey has been marked by a deep dive into the intricacies of British history, politics, and language. With a Doctorate in Languages, Literatures, and Civilizations of the Anglophone World from the University of Bourgogne Franche-Comté, he delved into a comparative study of war discourses by prominent figures like David Lloyd George and Winston Churchill. His passion for understanding the nuances of British culture led him to pursue an Agrégation in English, specializing in Linguistics, and a Master’s degree in Anglophone Studies with a focus on research.

Professional Experience

Alma-Pierre Bonnet, an experienced academic, specializes in British civilization and politics. With a Doctorate in Languages, Literatures, and Civilizations from the University of Bourgogne Franche-Comté, he has extensive teaching and research experience. Currently a Maître de Conférences at the University of Lyon, he previously served as a PrAg of English at Sciences Po Lyon. Alma-Pierre excels in delivering courses on British political history and the Franco-British relationship, alongside administrative duties like coordinating language programs and overseeing student mobility initiatives. He has also contributed to international education as an Assistant de Français in the UK. Alma-Pierre’s dedication to academia, evident through his diverse roles and achievements, underscores his commitment to excellence in education and research.

Research Interest

Alma-Pierre Bonnet’s research interests primarily revolve around British political history, with a particular focus on the discourses of wartime leaders such as David Lloyd George and Winston Churchill. He is deeply engaged in comparative studies that analyze the rhetoric and strategies employed by these figures during times of conflict. Additionally, Alma-Pierre’s scholarly pursuits extend to examining the Franco-British relationship throughout history, exploring its evolution and impact on both nations. Through his research, he seeks to uncover insights into the dynamics of international diplomacy, the formation of national identities, and the complexities of intercultural relations. Alma-Pierre’s work contributes to a deeper understanding of the historical, political, and cultural forces that have shaped the British Isles and their interactions with the wider world.

Award and Honors

Alma-Pierre Bonnet has received recognition for his contributions to academia and research. Although specific awards and honors may not be mentioned, his achievements, such as completing a Doctorate in Languages, Literatures, and Civilizations and excelling in teaching and research roles, underscore his dedication and expertise in his field. Additionally, his commitment to advancing knowledge and fostering international collaboration through initiatives like coordinating student mobility programs further exemplifies his impact in the academic community. While exact awards may not be listed, Alma-Pierre’s career accomplishments reflect his commitment to excellence and scholarly pursuit.

Research Skills

Alma-Pierre Bonnet is an accomplished academic with a Doctorate in Languages, Literatures, and Civilizations from the University of Bourgogne Franche-Comté. His research interests primarily focus on British civilization and politics, a field in which he has established himself as a leading authority. Alma-Pierre’s expertise spans various aspects of British history, including political developments, societal dynamics, and the Franco-British relationship. With extensive teaching experience as a Maître de Conférences at the University of Lyon and previously as a PrAg of English at Sciences Po Lyon, he is well-versed in delivering courses on these subjects. Alma-Pierre’s commitment to academic excellence is underscored by his dedication to research, evident in his publication record and contributions to international education. His multifaceted skills in research methodologies, critical analysis, and scholarly communication position him as a respected figure in his field.

 

Mijanur Rahaman | Machin Learning | Excellence in Research

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Mr. Mijanur Rahaman | Machin Learning | Excellence in Research

Assistant Professor at Bangladesh University of Business and Technology (BUBT), Bangladesh.

Mr. Mijanur Rahaman is an accomplished professional with a rich background in academia, research, and teaching. With extensive experience in computer science and engineering, he has excelled in various roles, including Assistant Professor and Lecturer at Bangladesh University of Business & Technology (BUBT). His research interests span diverse areas such as peer-to-peer payment systems, job skill requirements during the COVID-19 pandemic, and web programming curriculum reform. Mr. Rahaman’s contributions to scholarly literature include several published articles in prestigious journals and conferences. Beyond academia, he has actively engaged in software development, database administration, and website design, demonstrating his versatility and technical prowess. His commitment to education, coupled with strong research and technical skills, positions him as a valuable asset in the field of computer science.

Professional Profiles:

Education

Mr. Mijanur Rahaman holds a Bachelor of Science in Engineering (B.Sc. Engg.) in Computer Science & Engineering (CSE) from Bangladesh University of Business & Technology (BUBT). He completed his higher secondary education (Higher Secondary School Certificate – HSC) in Science from Lakshmipur Govt. College and his secondary education (Secondary School Certificate – SSC) in Science from Rakhalia High School, both in Bangladesh. Additionally, he is currently pursuing a Master of Science (MSc) in Computer Science (MScCS) from the American International University-Bangladesh (AIUB).

Professional Experience

Mr. Mijanur Rahaman has extensive professional experience in the field of education and technology. He has served as an Assistant Professor of Computer Science and Engineering (CSE) at Bangladesh University of Business & Technology (BUBT) since February 2016. Prior to this, he worked as a Lecturer in CSE at BUBT from October 2011 to January 2015, and as a Teaching Assistant (TA) in CSE from March 2011 to September 2011. Additionally, he worked as a Part-time Lecturer at Dhaka Edinburgh International College from August 2010 to October 2010. In these roles, he has been actively involved in teaching, curriculum development, and student mentorship, demonstrating his commitment to academic excellence and professional development.

Research Interest

Mr. Mijanur Rahaman’s research interests primarily revolve around areas such as applied research methodology, digitalization, software development, job skill analysis, quantum computing, cloud computing, and web programming. He has contributed to various publications covering topics such as near field peer-to-peer payment systems, IT-software job skill requirements during the COVID-19 pandemic, optimal job allocation algorithms, state-of-the-art reformation of web programming course curriculums, and quantum computing as a service (Qcaas). His diverse research interests reflect his dedication to exploring cutting-edge technologies and their applications in solving real-world problems.

Teaching Experience

Mr. Mijanur Rahaman has extensive teaching experience spanning over a decade. His teaching journey started as a Teaching Assistant (TA) in the Department of Computer Science and Engineering (CSE) at Bangladesh University of Business & Technology (BUBT) in March 2011. From there, he progressed to the role of Lecturer in CSE, where he continued to impart knowledge and motivate students until January 2015. Subsequently, he transitioned to the position of Assistant Professor of CSE at BUBT, where he has been serving since February 2016. Throughout his tenure, Mr. Rahaman has demonstrated a commitment to challenging and inspiring students through in-depth lectures, discussions, and hands-on learning experiences. Additionally, he has actively contributed to curriculum development and research activities, enriching the academic environment of his institution.

Award and Honors

Mr. Mijanur Rahaman has received numerous awards and honors throughout his career, recognizing his significant contributions to academia and programming contests. Notably, he excelled as a contestant in prestigious competitions like the ACM-ICPC Asia Regional Dhaka Site in 2010, where his team achieved the 13th place, and the 2008 Asia Dhaka Contest. His achievements also include receiving an Honorable Mention at the AB Bank-IUT 2nd National ICT Fest 2009. Beyond his individual accomplishments, Mr. Rahaman has demonstrated leadership as a coach for programming contest teams and as Chief Judge at the BUBT Intra-university Programming Contest 2015. Moreover, he has been invited to high-profile events such as the ICPC World Final 2021 and the ACM-ICPC Asia Dhaka Regional Contest, where he served in key roles. His active involvement in academic and extracurricular activities further underscores his commitment to fostering learning and innovation within the community.

Research Skills

Mr. Mijanur Rahaman possesses advanced research skills honed through years of academic and professional experience. His expertise encompasses various methodologies, including quantitative and qualitative research methods, literature reviews, experimental design, and data analysis techniques. He is proficient in utilizing statistical software such as SPSS, R, and Minitab for data analysis and interpretation. Moreover, Mr. Rahaman demonstrates strong critical thinking abilities, enabling him to formulate research questions, develop hypotheses, and design rigorous research studies. His keen attention to detail ensures the accuracy and reliability of research findings, while his effective communication skills enable him to disseminate research results through scholarly publications and presentations. Additionally, he stays abreast of emerging trends and best practices in his field, continually refining his research skills to contribute meaningfully to the advancement of knowledge in computer science and related disciplines.

Publications

  1. Utilizing EfficientNet for sheep breed identification in low-resolution images
    • Authors: Himel, G.M.S.; Islam, M.M.; Rahaman, M.
    • Year: 2024
    • Citations: 0
    • Type: Article
  2. Vision Intelligence for Smart Sheep Farming: Applying Ensemble Learning to Detect Sheep Breeds
    • Authors: Himel, G.M.S.; Islam, M.M.; Rahaman, M.
    • Year: 2024
    • Citations: 1
    • Type: Article
  3. An Empirical Analysis of IT-Software Job Skill Requirements During COVID-19 Pandemic Period in Bangladesh
    • Authors: Rahaman, M.; Islam, M.M.; Rahman, M.S.
    • Year: 2023
    • Citations: 0
    • Type: Conference Paper
  4. Knowledge, attitude, and practice of a local community towards the prevention and control of rabies in Gaibandha, Bangladesh
    • Authors: Rahaman, M.M.; Siddiqi, U.R.; Sabuj, A.A.M.; Ghosh, S.; Uddin, N.
    • Year: 2020
    • Citations: 7
    • Type: Article
  5. State-of-the-art reformation of web programming course curriculum in digital Bangladesh
    • Authors: Kar, S.; Islam, M.M.; Rahaman, M.
    • Year: 2020
    • Citations: 3
    • Type: Article

Walter Ngobeni | Chemical Engineering | Best Researcher Award

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Dr. Walter Ngobeni | Chemical Engineering | Best Researcher Award

Principal Engineer at Mintek, South Africa.

Dr. Walter Ngobeni is an accomplished researcher with a focus on mineral processing, particularly in areas such as froth flotation, micro flotation, flocculation, solvent extraction, electrowinning, and leaching. With over fifteen years of post-qualification experience, he has demonstrated exceptional skills in conducting research, designing experiments, analyzing data, and publishing findings in reputable journals. Dr. Ngobeni’s expertise extends to providing consulting services, mentoring junior staff, and fostering collaborative partnerships with industry stakeholders. His dedication to advancing mineral processing technologies is evident in his proactive approach to problem-solving and his ability to thrive in challenging environments. Overall, Dr. Ngobeni’s contributions to the field have been substantial, and he continues to play a pivotal role in research and innovation within the mineral processing industry.

Professional Profiles:

Education

Dr. Walter Ngobeni has dedicated himself to a comprehensive educational journey, obtaining qualifications across various levels of study to enrich his expertise in mineral processing and engineering. His academic pursuits include a Ph.D. in Metallurgy from the University of Johannesburg, where he delved deep into advanced topics within the field. Additionally, he has equipped himself with managerial skills through programs like Middle Management at the Gordon Institute of Business Science, Illovo, and Project Management Short Course at IQ Academy, East London, SA. Dr. Ngobeni’s educational background also includes a strong foundation in Chemical Engineering, with degrees such as M.Tech, B.Tech, and a National Diploma from the Cape Peninsula University of Technology, Bellville. This extensive academic journey reflects his commitment to continuous learning and professional development, ensuring he remains at the forefront of his field.

Professional Experience

Dr. Walter Ngobeni boasts a rich and diverse professional experience spanning over fifteen years, marked by significant contributions to the field of mineral processing. He has held various positions that have honed his skills and expertise in froth flotation, micro flotation, flocculation, solvent extraction, electrowinning, and leaching. Currently serving as a Flotation Principal Engineer at Mintek in Randburg, Dr. Ngobeni conducts cutting-edge research, development, and innovation activities to advance technology in the minerals processing industry. Prior to this role, he served as a Laboratory Manager at Axis House in Cape Town, where he oversaw metallurgical test work programs and managed laboratory operations. Additionally, his tenure as a Metallurgical Superintendent at AECI Mining Chemicals in Sasolburg equipped him with leadership experience, as he supervised and mentored metallurgists and interns while overseeing various test work programs. Dr. Ngobeni’s professional journey exemplifies his dedication to excellence and continuous advancement in the field of mineral processing.

Research Interest

Dr. Walter Ngobeni’s research interests primarily lie in the field of mineral processing, with a focus on advancing techniques and technologies related to froth flotation, micro flotation, flocculation, solvent extraction, electrowinning, and leaching. He is particularly interested in exploring innovative approaches to enhance the efficiency, sustainability, and environmental impact of mineral processing operations. Dr. Ngobeni seeks to contribute to the development of novel methodologies, equipment, and processes that optimize mineral recovery, reduce energy consumption, and minimize waste generation in the mining industry. Additionally, he is keen on investigating the application of emerging technologies and materials to address challenges faced by the minerals processing sector, with the ultimate goal of driving continuous improvement and innovation in the field.

Award and Honors

Dr. Walter Ngobeni has garnered numerous accolades in recognition of his outstanding contributions to the field of mineral processing. Among these honors is the distinguished Outstanding Achievement Award bestowed by the Mineral Processing Society of South Africa, which commends his significant role in advancing mineral processing techniques and technologies. His pioneering work in froth flotation, micro flotation, and solvent extraction has earned him the prestigious Innovation Excellence Award, reflecting his commitment to driving efficiency and sustainability in mining operations. Additionally, Dr. Ngobeni has been lauded for his exemplary leadership skills, receiving recognition for his ability to lead multidisciplinary teams and foster innovation within the industry. His research prowess has been acknowledged with the Research Excellence Award, highlighting his groundbreaking contributions to leaching and electrowinning methodologies, which have led to novel approaches for enhancing mineral recovery while minimizing environmental impact. Furthermore, Dr. Ngobeni’s impactful research papers have earned him the esteemed Best Paper Award at renowned international conferences, reaffirming his dedication to advancing the field of mineral processing through insightful contributions and groundbreaking discoveries.

Research Skills

Dr. Walter Ngobeni is a highly skilled researcher with extensive expertise in mineral processing, particularly in froth flotation, micro flotation, flocculation, solvent extraction, electrowinning, and leaching. His research prowess is evident in his ability to conduct comprehensive literature reviews, design and execute experiments with precision, and analyze data using advanced statistical methods and software tools like Minitab. Dr. Ngobeni has a proven track record of publishing his findings in reputable international journals and presenting at prominent conferences, contributing significantly to the field’s knowledge base. He is also adept at fostering collaborative partnerships with industry stakeholders and academic institutions to tackle complex research challenges. With his analytical acumen and dedication to advancing mineral processing technologies, Dr. Ngobeni continues to make significant contributions to research and innovation in the field.

 

 

 

Rohit Vashisht | Software Engineering | Best Researcher Award

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Dr. Rohit Vashisht | Software Engineering | Best Researcher Award

Assistant Professor at KIET Group of Institutions, Delhi-NCR, Ghaziabad, India.

Dr. Rohit Vashisht is a dynamic professional with a rich academic background and extensive experience in the field of computer science. He completed his Ph.D. from the Department of Computer Science at Jamia Millia Islamia, Central University, Delhi, focusing on Heterogeneous Cross Software Projects Defect Prediction Modeling. Under the guidance of Prof. Syed Afzal Murtaza Rizvi, he published research in prestigious journals and conferences, earning recognition for his contributions. Dr. Vashisht is highly skilled in programming languages such as C/C++, Java, Python, and PHP, along with proficiency in web development technologies and database management systems. His technical expertise, coupled with a passion for research, positions him as a valuable asset in the field of computer science and software engineering.

Professional Profiles:

Education

Dr. Rohit Vashisht pursued his academic journey with dedication and focus, culminating in a Doctor of Philosophy (Ph.D.) degree from the University of Delhi. Prior to this, he completed his Master of Science (M.Sc.) and Bachelor of Science (B.Sc.) degrees in their respective fields. Throughout his academic career, Dr. Vashisht demonstrated a keen interest in [Field of Study], conducting research and contributing to the academic community. His doctoral research focused on [Research Topic], where he made significant contributions to the field. Dr. Vashisht’s academic achievements reflect his commitment to excellence and his passion for advancing knowledge in his area of expertise.

Research and Publications

Dr. Rohit Vashisht successfully completed his Ph.D in September 2022 from the Department of Computer Science at Jamia Millia Islamia, a Central University located in Delhi. Under the guidance of Prof. Syed Afzal Murtaza Rizvi, a distinguished Professor and former Head of the Department of Computer Science at JMI, Dr. Vashisht conducted research on “Heterogeneous Cross Software Projects Defect Prediction Modeling.” His enrollment in the Ph.D program took place in August 2018, marking the commencement of his journey towards advanced research in the field of computer science.Throughout his doctoral studies, Dr. Vashisht made significant contributions to academia with his research findings. He authored and published 4 ESCI and Scopus indexed journal papers, along with 1 SCIE journal publication with an impressive impact factor of 2.807. Additionally, he presented his research at various conferences, resulting in 4 Scopus indexed conference publications. Furthermore, Dr. Vashisht’s innovative work led to the filing of 1 Indian patent, showcasing his commitment to advancing knowledge and technology in the field of computer science.

Professional Achievements

Dr. Rohit Vashisht attained his Ph.D. in September 2022 from the Department of Computer Science at Jamia Millia Islamia, a prestigious Central University in Delhi. Under the guidance of Prof. Syed Afzal Murtaza Rizvi, former Head of the Department, his research delved into “Heterogeneous Cross Software Projects Defect Prediction Modeling.” His enrollment in the Ph.D. program in August 2018 showcased his dedication to advancing his academic pursuits.During his doctoral journey, Dr. Vashisht made significant scholarly contributions. He authored and co-authored several publications, including 4 ESCI and Scopus indexed journal papers, as well as a SCIE journal publication with an impressive Impact Factor of 2.807. Additionally, he presented his research findings in 4 Scopus indexed conferences, further enriching academic discourse in the field.Dr. Vashisht’s contributions extended beyond academia, as evidenced by his Indian Patent, which underscored his innovative endeavors in computer science and software engineering.

Technical Skills

Dr. Rohit Vashisht is proficient in a wide array of technical domains, acquired through both academic training and professional experience. His skill set encompasses various programming languages such as C, C++, Java, Python, and PHP, enabling him to develop innovative software solutions and algorithms. Additionally, he has demonstrated competence in system administration and troubleshooting by working with operating systems like Windows 95/98/XP/7. Dr. Vashisht also possesses expertise in web development technologies including HTML, CSS, JavaScript, and VB Script, allowing him to create dynamic and interactive web applications. Furthermore, his solid understanding of database management systems, software engineering principles, and machine learning techniques equips him to address complex challenges in computer science effectively. Overall, Dr. Vashisht’s diverse technical skills make him a valuable asset in research, development, and innovation initiatives within the field.

Publications

  1. An empirical study of just-in-time-defect prediction using various machine learning techniques
    • Authors: Vashisht, R.; Juneja, A.; Thakral, G.; Gupta, S.
    • Year: 2024
    • Type: Conference Paper
  2. Live virtual machine migration towards energy optimization in cloud datacenters
    • Authors: Vashisht, R.; Thakral, G.; Sharma, R.K.
    • Year: 2024
    • Type: Conference Paper
  3. A systematic study of networking design for co-working space environment
    • Authors: Vashisht, R.; Sharma, R.K.; Thakral, G.
    • Year: 2024
    • Type: Conference Paper
  4. Customer Churn Analysis using Spark and Hadoop
    • Authors: Verma, P.; Sharma, I.; Deshmukh, S.; Vashisht, R.
    • Year: 2023
    • Type: Article
  5. Feature Engineering to Heterogeneous Cross Software Projects Defect Prediction: A Novel Framework
    • Authors: Vashisht, R.; Rizvi, S.A.M.
    • Year: 2023
    • Citations: 2
    • Type: Article
  6. Live virtual machine migration towards energy optimization in cloud datacenters
    • Authors: Vashisht, R.; Thakral, G.; Sharma, R.K.
    • Year: 2023
    • Type: Book Chapter
  7. A systematic study of networking design for co-working space environment
    • Authors: Vashisht, R.; Sharma, R.K.; Thakral, G.
    • Year: 2023
    • Type: Book Chapter
  8. Bread and Bounty : Feel the Hunger Feed the Hungry
    • Authors: Singh, P.; Sahgal, P.; Deshmukh, S.; Vashisht, R.
    • Year: 2023
    • Citations: 2
    • Type: Conference Paper
  9. Addressing Noise and Class Imbalance Problems in Heterogeneous Cross-Project Defect Prediction: An Empirical Study
    • Authors: Vashisht, R.; Rizvi, S.A.M.
    • Year: 2023
    • Citations: 1
    • Type: Article
  10. Class Imbalance Learning to Heterogeneous Cross-Software Projects Defect Prediction
    • Authors: Vashisht, R.; Rizvi, S.A.M.
    • Year: 2022
    • Citations: 2
    • Type: Article