A Chandrasekar | Neural networks | Best Researcher Award

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Dr. A Chandrasekar | Neural networks | Best Researcher Award

Doctorate at Vellore Institute Of Technology, India

🔗 Profile

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👨‍🏫 Summary

Dr. Chandrasekar A is an esteemed Assistant Professor Senior Grade I in the Department of Mathematics at Vellore Institute of Technology, India. With extensive expertise in differential equations and neural networks, he has contributed significantly to these fields through his research and teaching. His commitment to advancing mathematical knowledge is evident in his impactful publications and active involvement in academic activities.

🎓 Education

Dr. Chandrasekar earned his Ph.D. in Mathematics from Bharathiar University (2013-2017), with a thesis on “Dynamic Characteristics of Neural Networks with Time-Varying Delays,” which was highly commended. He also holds an M.Phil. in Mathematics (2011-2012) from Bharathiar University, focusing on the effects of leakage time-varying delays in neural networks, and an M.Sc. in Mathematics (2009-2011) from the same institution. His undergraduate degree in Mathematics was completed at Thiruvalluvar Government Arts College/Periyar University (2006-2009), where he graduated with first-class honors.

💼 Professional Experience

Dr. Chandrasekar currently serves as an Assistant Professor Senior Grade I at Vellore Institute of Technology (Sep 2022 – Present), after previous roles at Sona College of Arts and Science (Jun 2018 – Aug 2022) and Karpagam College of Engineering (Jan 2017 – May 2018). His career also includes experience as a UGC-BSR Junior Research Fellow at Bharathiar University (Sep 2013 – Nov 2016), where he honed his research skills and expertise.

🔬 Research Interests

Dr. Chandrasekar’s research focuses on several intriguing areas: stability analysis of neural networks with time delay, synchronization of chaotic systems, image encryption, T-S fuzzy systems, and complex dynamical networks. His work in these domains has made notable contributions to both theoretical and applied mathematics.

📚 Additional Information

Dr. Chandrasekar has taught various courses including Complex Analysis, Differential Equations and Transforms, and Advanced Mathematical Methods. He has organized several academic events and lectures, such as on the role of statistical techniques and fundamental theorems of algebra. He is a reviewer for numerous prestigious journals, including the IEEE Transactions on Neural Networks and Learning Systems, and has published 27 papers in SCI journals with a total impact factor of 133.973.

📖 Publication

Biological-based techniques for real-time water-quality studies: Assessment of non-invasive (swimming consistency and respiration) and toxicity (antioxidants) biomarkers of zebrafish
    • Authors: Wang, H., Poopal, R.-K., Ren, Z.
    • Journal: Chemosphere
    • Volume: 352
    • Year: 2024
IR-based device to acquire real-time online heart ECG signals of fish (Cyprinus carpio) to evaluate the water quality
    • Authors: Wei, D., Wang, L., Poopal, R.-K., Ren, Z.
    • Journal: Environmental Pollution
    • Volume: 337
    • Year: 2023
Ecotoxicological evaluation of the UV-filter octocrylene (OC) in embryonic zebrafish (Danio rerio): Developmental, biochemical and cellular biomarkers
    • Authors: Gayathri, M., Sutha, J., Mohanthi, S., Ramesh, M., Poopal, R.-K.
    • Journal: Comparative Biochemistry and Physiology Part – C: Toxicology and Pharmacology
    • Volume: 271
    • Year: 2023
Efficiency of hematological, enzymological and oxidative stress biomarkers of Cyprinus carpio to an emerging organic compound (alphamethrin) toxicity
    • Authors: Ramesh, M., Bindu, C.F., Mohanthi, S., Ren, Z., Li, B.
    • Journal: Environmental Toxicology and Pharmacology
    • Volume: 101
    • Year: 2023
Developmental toxicity of the emerging contaminant cyclophosphamide and the integrated biomarker response (IBRv2) in zebrafish
    • Authors: Hema, T., Poopal, R.-K., Ramesh, M., Ren, Z., Li, B.
    • Journal: Environmental Science: Processes and Impacts
    • Volume: 25(8)
    • Year: 2023

Poopal RamaKrishnan | Emerging Research Trends | Best Researcher Award

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Dr. Poopal RamaKrishnan | Emerging Research Trends | Best Researcher Award

Doctorate at Unit of Toxicology, Department of Zoology, Bharathiar University , India

🔗 Profile

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🌟 Summary

Poopal Ramakrishnan is a dedicated researcher and educator specializing in ecotoxicology and biomarker assessments. With a career spanning over five years at Shandong Normal University in China, Poopal has significantly contributed to the field of environmental sciences through his research on the impacts of plastic-related materials on aquatic life. His academic achievements include being honored with the prestigious “Foreign Youth Talent – 2022” award by the Jinan Science and Technology Bureau, China, and receiving a Gold Medal for Best Thesis in Zoology from Bharathiar University. Poopal’s work is characterized by a commitment to advancing knowledge in eco-toxicological assessments and innovative monitoring techniques.

🎓 Education

Poopal Ramakrishnan holds a Ph.D. in Zoology from Bharathiar University, Coimbatore, India, where he researched the toxic effects of phthalate esters on freshwater fish using a multi-biomarker approach. He also earned an M.Phil. in Zoology from the same university, focusing on mercury exposure’s impact on ionic regulation in carp. Poopal completed his M.Sc. in Animal Science (Zoology) with a dissertation on the sublethal toxicity of methyl parathion in Catla catla. His academic journey began with a B.Sc. in Animal Science & Biotechnology from Government Arts College, Ooty, India.

🧪 Professional Experience

As a Scientific Researcher and Foreign Expert at Shandong Normal University, Poopal has conducted cutting-edge research on the eco-toxicological impacts of plastics on fish, exploring behavior, metabolism, and ECG changes. He has also served as an Adjunct Faculty at PSGR Krishnammal College for Women in Coimbatore, teaching courses in Environmental Sciences and GCMS. His previous role as a National Post-Doctoral Fellow at Bharathidasan University involved assessing the toxicity of persistent organic pollutants in water, further enhancing his expertise in life sciences and environmental sciences.

🔬 Research Interests

Poopal Ramakrishnan is passionate about advancing research in eco-toxicology, biomarker assessments, and non-invasive toxicity biomarkers. His interests extend to developing and implementing online biological monitoring techniques, reflecting his commitment to innovative and sustainable approaches in environmental research.

🏆 Awards and Recognitions

Throughout his career, Poopal has been recognized for his outstanding contributions to science. He was awarded the Foreign Youth Talent – 2022 by the Jinan Science and Technology Bureau, China, acknowledging his role as a national foreign expert. His Ph.D. thesis earned him a Gold Medal for Best Thesis in Zoology at the 33rd Convocation of Bharathiar University, highlighting his dedication to research excellence. Poopal has also received the Research Fellowship in Science for Meritorious Students (RFSMS), reflecting his academic achievements and potential.

📚 Professional Memberships and Editorial Roles

Poopal is an active member of the American Association for Science and Technology, the Asia-Pacific Chemical, Biological & Environmental Engineering Society, and the European Society of Toxicology in Vitro. His expertise is recognized through his role as a reviewer for numerous prestigious journals, including ACS Applied Bio Materials, Journal of Hazardous Materials, and Environmental Toxicology and Pharmacology. Additionally, Poopal serves on the editorial boards of journals such as Research and Advances: Aquatic Sciences, Peertechz-Annals of Environmental Science and Toxicology, and the SCIREA Journal of Environment, where he contributes to advancing research in his field.

📖 Publication

Biological-based techniques for real-time water-quality studies: Assessment of non-invasive (swimming consistency and respiration) and toxicity (antioxidants) biomarkers of zebrafish
    • Authors: Wang, H., Poopal, R.-K., Ren, Z.
    • Journal: Chemosphere
    • Volume: 352
    • Year: 2024
IR-based device to acquire real-time online heart ECG signals of fish (Cyprinus carpio) to evaluate the water quality
    • Authors: Wei, D., Wang, L., Poopal, R.-K., Ren, Z.
    • Journal: Environmental Pollution
    • Volume: 337
    • Year: 2023
Ecotoxicological evaluation of the UV-filter octocrylene (OC) in embryonic zebrafish (Danio rerio): Developmental, biochemical and cellular biomarkers
    • Authors: Gayathri, M., Sutha, J., Mohanthi, S., Ramesh, M., Poopal, R.-K.
    • Journal: Comparative Biochemistry and Physiology Part – C: Toxicology and Pharmacology
    • Volume: 271
    • Year: 2023
Efficiency of hematological, enzymological and oxidative stress biomarkers of Cyprinus carpio to an emerging organic compound (alphamethrin) toxicity
    • Authors: Ramesh, M., Bindu, C.F., Mohanthi, S., Ren, Z., Li, B.
    • Journal: Environmental Toxicology and Pharmacology
    • Volume: 101
    • Year: 2023
Developmental toxicity of the emerging contaminant cyclophosphamide and the integrated biomarker response (IBRv2) in zebrafish
    • Authors: Hema, T., Poopal, R.-K., Ramesh, M., Ren, Z., Li, B.
    • Journal: Environmental Science: Processes and Impacts
    • Volume: 25(8)
    • Year: 2023

Shiyu Wu | Data Visualization | Best Researcher Award

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Mr. Shiyu Wu | Data Visualization | Best Researcher Award

Mr. Shiyu Wu at Department of shenyang university of technology, China

🔗 Profile

Scopus Profile

Summary 🌟

Wu Shiyu is a Master’s student at Shenyang University of Technology, engaged in a joint cultivation program with the Institute of Metals of the Chinese Academy of Sciences. His research delves into the microstructure, mechanical properties, and wear behavior of high chromium cast iron under various tempering temperatures. Through his work, he has uncovered valuable insights into the optimal heat treatment processes for advanced cast irons, aiming to enhance material performance and durability. 🛠️🔬

🎓 Education

Wu Shiyu completed his Bachelor’s degree at Shenyang University of Technology, where he developed a strong foundation in materials science and engineering. He is currently pursuing his Master’s degree at Shenyang University of Technology through a joint cultivation program with the Institute of Metals of the Chinese Academy of Sciences. This advanced program integrates theoretical knowledge with practical research experience, enhancing his expertise in materials engineering and high-performance alloys.

💼 Professional Experience

Wu Shiyu is currently a Master’s student at Shenyang University of Technology, where he is involved in advanced research on high chromium cast iron. In addition to his academic role, he participates in a joint research program with the Institute of Metals of the Chinese Academy of Sciences. His professional experience includes conducting in-depth investigations into the microstructure, mechanical properties, and wear behavior of cast iron, utilizing various analytical techniques such as SEM, TEM, and EBSD. This dual affiliation allows him to apply cutting-edge research methodologies and contribute to both academic and practical advancements in materials science.

🔬 Research Interests

Wu Shiyu’s research interests are centered on materials science and engineering, with a particular focus on the properties and behavior of high chromium cast iron. His work explores the effects of tempering temperatures on the microstructure, mechanical properties, and wear behavior of cast iron. He employs advanced analytical techniques, including Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), and Electron Backscatter Diffraction (EBSD), to investigate the relationships between microstructural changes and material performance. His research aims to optimize heat treatment processes to enhance the durability and functionality of advanced cast iron materials.

📖 Publication

Tempering Temperature Dependence on the Microstructure, Mechanical Properties and Wear Behaviour of a Novel High Chromium Cast Iron
  • Authors: Wu, S., Wang, D., Tao, X., Zhou, Y., Cui, C.
  • Journal: Tribology International
  • Year: 2024

Konstantinos Skordas | Environmental Geochemistry | Best Researcher Award

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Prof. Konstantinos Skordas | Environmental Geochemistry | Best Researcher Award

professor at Department of Ichthyology and Aquatic Environment, University of Thessaly, Greece

🔗 Profile

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🧑‍💻 Summary

Professor Konstantinos Skordas is a distinguished geologist and environmental researcher at the University of Thessaly, specializing in Environmental Geochemistry, Ecotoxicology, and Coastal Geomorphology. With extensive experience in pollution studies and sustainable practices, his work has made significant contributions to soil and water quality research in Greece.

🎓 Education

Professor Konstantinos Skordas earned his Doctorate from the National Kapodistrian University of Athens, Greece, where he specialized in Environmental Geochemistry. He completed his undergraduate studies in Geological Sciences at the University of Urbino, Italy. His academic background provides a strong foundation in geological and environmental sciences, supporting his extensive research and contributions to understanding soil contamination and water quality.

💼 Professional Experience

Professor Konstantinos Skordas is a leading expert in Environmental Geochemistry at the University of Thessaly, where he teaches and supervises research in Environmental Geochemistry, Ecotoxicology, and Coastal Geomorphology. His extensive professional experience includes significant roles in various research projects, such as the Archimedes Project II and the INTERREG IIIC EASTZONE, focusing on pollution and sustainable practices. Skordas has also contributed to international research through positions at the Institute of Geology and the Institute of Mineralogy and Petrography at the University of Urbino, Italy, where he conducted geological mapping and sedimentological analysis.

🔬 Research Interests

Professor Konstantinos Skordas is deeply invested in exploring Environmental Geochemistry 🌱, focusing on the pollution of waters, sediments, and soils by metals and metalloids. His research aims to understand the environmental and health impacts of these pollutants, advancing knowledge in Sediment Pollution 💧 and Hydrogeochemistry. He is dedicated to studying the Bioavailability and Toxicity of industrial pollutants 🚧 and promoting Sustainable Practices 🌿 in aquaculture and marine environments. Additionally, his work extends to Agricultural and Environmental Geochemistry 🌾, aiming to support best practices and enhance soil health for sustainable agriculture.

📖 Publication

Potentially Toxic Element Assessment and Biological Accumulation in Two Sea Cucumbers Species Holothuria poli and Holothuria tubulosa
    • Authors: Skordas, K., Georgiou, K., Kinigopoulou, V., Neofitou, N., Vafidis, D.
    • Journal: Regional Studies in Marine Science
    • Year: 2024
Effect of Mussel Shells as Soil pH Amendment on the Growth and Productivity of Rosemary (Rosmarinus officinalis L.) Cultivation
    • Authors: Lolas, A., Molla, A., Georgiou, K., Petrotou, A., Skordas, K.
    • Journal: Agriculture (Switzerland)
    • Year: 2024
A Spatial Interpolation Approach for Environmental Assessment of Aquaculture Effects on Water Quality of Pagasitikos Gulf (Eastern Mediterranean)
    • Authors: Dimoudi, A., Karampetsou, P., Domenikiotis, C., Panagiotaki, P., Neofitou, N.
    • Journal: Marine Environmental Research
    • Year: 2023
The Impact of Different Cultivation Practices on Surface Runoff, Soil and Nutrient Losses in a Rotational System of Legume–Cereal and Sunflower
    • Authors: Molla, A., Skoufogianni, E., Lolas, A., Skordas, K.
    • Journal: Plants
    • Year: 2022
Trace Element Content and Potential Human Health Risk from Consumption of the Deep-water Rose Shrimp Parapenaeus longirostris (Crustacea: Decapoda) from Pagasitikos Gulf, Greece
    • Authors: Skordas, K., Lolas, A., Gounari, C., Neofitou, N., Vafidis, D.
    • Journal: Journal of Chemical Health Risks
    • Year: 2022

Arun Chandramouli | Business Intelligence and Analytics | Global Innovations in Analytics Award

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Mr. Arun Chandramouli | Business Intelligence and Analytics | Global Innovations in Analytics Award

Mr. Arun Chandramouli at Fulcrum Digital inc, United States

🔗 Profile

Google Scholar Profile

🧑‍💻 Summary

Arun Chandramouli is a seasoned Data Scientist with nearly a decade of experience in driving data-centric strategies and innovations. Specializing in machine learning models, advanced statistical analysis, and data architecture, Arun excels in translating complex data into actionable insights. His technical proficiency is bolstered by a certificate in Machine Learning and AI and a strong track record in enhancing business performance through data-driven solutions. Adept at fostering cross-functional teams and cultivating analytics-driven cultures, Arun is dedicated to advancing data governance and strategic decision-making.

🎓 Education

  • Post-Graduate Program in Machine Learning & AI, University of Texas at Austin (2021)
  • Master of Science in Industrial Engineering & Operations Research, University at Buffalo (2014)
  • Bachelor of Technology (IT), SSN College of Engineering (2011)

💼 Professional Experience

With nearly a decade of experience as a Data Scientist, I have a proven track record of leveraging data-driven strategies to drive organizational success and innovation. My career spans diverse industries where I have developed and deployed sophisticated machine learning models, advanced statistical analyses, and comprehensive data architectures. Notable achievements include generating significant revenue growth through impactful dashboard development, streamlining operations with advanced data visualizations, and enhancing customer satisfaction by addressing critical data issues. My roles have consistently involved cross-functional collaboration, strategic problem-solving, and the application of cutting-edge technologies to optimize performance and inform strategic decision-making. I have worked with leading organizations such as Mastercard, Equifax, and Athenahealth, where my contributions have been instrumental in improving business processes and driving data-centric solutions.

🔬 Research Interests

My research interests lie at the intersection of advanced data analytics and machine learning, focusing on how these technologies can transform business processes and decision-making. I am particularly passionate about developing predictive models and algorithms to uncover actionable insights and drive strategic growth. My work involves exploring innovative techniques in data visualization to enhance the interpretability and impact of complex datasets. Additionally, I am dedicated to optimizing data-driven decision-making through robust analytical frameworks and cutting-edge AI applications, aiming to solve real-world problems and advance the field of data science.

📖 Publication

Strategies and Impact of Customer Loyalty Programs in the Technology Sector: A Comprehensive Analysis
    • Author: A Chandramouli
    • Journal: Journal of Technological Innovations
    • Year: 2020
Leveraging Predictive Analytics to Minimize Claim Denials in Healthcare Revenue Cycle Management
    • Author: A Chandramouli
    • Journal: Journal of Technological Innovations
    • Year: 2021
Implementing Volume-Based Rebates in E-commerce: A Comprehensive Case Study
    • Author: A Chandramouli
    • Journal: Journal of Technological Innovations
    • Year: 2021
An Automated Framework for Efficiently Predicting and Managing Dispatch Rates in Technology Service Sectors
    • Author: A Chandramouli
    • Journal: Journal of Technological Innovations
    • Year: 2021

Abu Sufiun | Agricultural Data Analysis | Best Researcher Award

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Mr. Abu Sufiun | Agricultural Data Analysis | Best Researcher Award

Mr. Abu Sufiun at Daffodil International University, Bangladesh

🔗 Profile

Scopus Profile

🧑‍💻 Summary

Abu Sufiun is a proficient software developer with expertise in RESTful APIs, Laravel, and React. His strong grasp of database management systems, including advanced queries and design, complements his experience in managing complex projects and architecture design. Abu also possesses skills in AI and Machine Learning, blending practical development with academic research and instruction.

🎓 Education

  • B.Sc. in Computer Science and Engineering
    Daffodil International University (2017-2021)
    CGPA: 3.80/4
  • Higher Secondary School Certificate
    Major General Mahmudul Hasan Adarsha College (2014-2016)
    CGPA: 4.92/5
  • Secondary School Certificate
    Dighulia Shahid Mizanur Rahman High School (2012-2014)
    CGPA: 5.00/5

💼 Professional Experience

  • Application Development Officer
    Hop Lun (May 2023 – Present)
    Abu is implementing ERP systems and business applications to enhance company efficiency. His role involves thorough testing, server maintenance, and integration with scanning devices, while collaborating across various departments to streamline operations.
  • Lecturer
    Department of Computer Science and Engineering, Daffodil International University (June 2022 – May 2024)
    As a lecturer, Abu conducted classes, integrated e-learning platforms, and advised students. He published high-impact research papers and managed programming labs, contributing to the academic and practical learning environment.

🔬 Research Interests

Abu Sufiun’s research delves into the integration of AI with system design and development. His work includes AIoT-based hydroponic systems, neural network applications for healthcare, and innovative Machine Learning techniques for Bangla handwriting and number plate detection. His publications reflect his contributions to advancing both technology and its practical applications.

📖 Publication

An AIoT-based hydroponic system for crop recommendation and nutrient parameter monitorization
  • Authors: M.A. Rahman, N.R. Chakraborty, A. Sufiun, S.K. Banshal, F.R. Tajnin
  • Journal: Smart Agricultural Technology
  • Year: 2024
 Automatic Bengali Number Plate Detection and Authentication using YOLO-V4 and YOLO-V5
  • Authors: A. Sufiun, M.H.I. Bijoy, N.R. Chakraborty, M.A.A.K. Akash
  • Conference: 26th International Conference on Computer and Information Technology (ICCIT 2023)
  • Year: 2023

Rita Prasetyowati | photocatalyst | Best Researcher Award

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Mrs. Rita Prasetyowati | photocatalyst | Best Researcher Award

Mrs. Rita Prasetyowati at Universitas Negeri Yogyakarta, Indonesia

🔗 Profile

Scopus Profile

👨‍⚕️ Academic Background

Rita Prasetyowati, M.Si., is a lecturer in the Department of Physics Education at the Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta. 🌟 She holds a master’s degree in Materials Physics from Institut Teknologi Bandung and is currently pursuing her doctoral studies in the same field at Universitas Gadjah Mada. 📚🔬 Her research focuses on neutron activation analysis for elemental testing and the development of TiO2-based solar cells. ☀️🔋

🎓Education

  • Bachelor: Physics, Universitas Negeri Yogyakarta 🎓
  • Master: Materials Physics, Institut Teknologi Bandung 🧪
  • Doctor: Materials Physics, Universitas Gadjah Mada (in progress) 🎓🔬

🌟Professional Experience

Rita Prasetyowati, M.Si., is a dedicated Lecturer in the Department of Physics Education at the Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta. In this role, she teaches undergraduate and graduate physics courses, develops educational materials, and supervises research projects. 📚🔬 Her professional background encompasses extensive expertise in materials physics, with a focus on neutron activation analysis and the creation of advanced photocatalytic materials. 🌟🔍 Dr. Prasetyowati actively engages in academic conferences and publishes her research in international journals, underscoring her commitment to advancing scientific knowledge. Her work is characterized by significant collaboration with colleagues and researchers, reflecting her dedication to fostering innovation and excellence in her field. 🤝📖

🔍Research Interests

Rita Prasetyowati’s research interests are rooted in materials physics and advanced analytical techniques. She is particularly focused on neutron activation analysis (NAA) to precisely measure elemental compositions, with applications in agriculture and environmental science. 🌿🔬 Her work also involves the development of TiO2-based solar cells, aiming to enhance their efficiency through innovative methods such as metal insertion via electroplating. ☀️🔋 Additionally, Dr. Prasetyowati investigates nanocomposites for photocatalytic applications and water purification, working to improve their performance and sustainability. 💧🔍 Through her research, she seeks to bridge fundamental science with practical, real-world applications to drive both technological and environmental advancements.

📖 Publication

A study on sensitivity, reproducibility, and stability of sourness and saltiness taste sensors using a mixture of lipid membranes

Authors: Prasetyowati, R., Aflaha, R., Khoirudin, H., Nurwantoro, P., Triyana, K.

Journal: Biosensors and Bioelectronics: X

Year: 2024

Degradation of methyl orange dye using Fe3O4/GO photocatalyst with iron derived from coastal Glagah Kulon Progo ore

Authors: Prasetyowati, R., Harahap, E.F.M., Saputri, R.I., Ariswan, Dwandaru, W.S.B.

Journal: Nano-Structures and Nano-Objects

Year: 2024

Optimization of Cu2O Thickness to Enhance Photocatalytic Properties of Electrodeposited Cu2O/FTO Photoanode

Authors: Khasanah, R.A.N., Chien, F.S.-S., Prasetyowati, R., Yudianti, R.

Journal: Bulletin of Chemical Reaction Engineering and Catalysis

Year: 2024

Magnetic properties characterization of Fe3O4/GO nanocomposites based on iron sands at Glagah Beach Kulonprogo for water purification treatment

Authors: Prasetyowati, R., Handayani, E.E., Swastika, P.E., Warsono, Ariswan

Journal: AIP Conference Proceedings

Year: 2023

Synthesis and optical characterization of Fe3O4 nanocomposites based on iron sand beach Glagah Kulon Progo combined with graphene oxide

Authors: Prasetyowati, R., Febriastuti, F., Swastika, P.E., Warsono, Ariswan

Journal: AIP Conference Proceedings

Year: 2023

Yeo Yi Xuan | Dynamic mechanical analysis | Best Researcher Award

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Ms. Yeo Yi Xuan | Dynamic mechanical analysis | Best Researcher Award

Ms. Yeo Yi Xuan at University Malaysia Perlis, Malaysia

🔗 Profile

Scopus Profile

👨‍⚕️ Academic Background

Ms. Yeo Yi Xuan is a dedicated PhD student in mechanical engineering at the University Malaysia Perlis. With a strong academic foundation in engineering principles, she is passionate about advancing innovations in sustainable energy systems. Her research focuses on the development of eco-friendly and efficient mechanical solutions for industrial applications. Yeo Yi Xuan has actively participated in national and international conferences, presenting her findings on renewable energy technologies. She is committed to contributing to the engineering community through research and collaboration.

🎓Education

  • PhD in Mechanical Engineering (Ongoing)
    University Malaysia Perlis
    Focus: Sustainable energy systems and mechanical solutions for industrial applications.
  • Master of Science in Mechanical Engineering
    University of Technology Malaysia
    Specialization: Renewable energy technologies
  • Bachelor of Engineering in Mechanical Engineering
    University Malaysia Perlis
    Achievements: Graduated with honors, recipient of the Dean’s List Award

🌟Professional Experience

Ms. Yeo Yi Xuan has gained extensive experience in mechanical engineering, focusing on sustainable energy solutions. As a Research Assistant at the University Malaysia Perlis, she conducted experiments and data analysis in the field of renewable energy, contributing significantly to research projects on energy efficiency. She collaborated with faculty members to develop innovative solutions for industrial applications and assisted in publishing research papers. During her internship at a national engineering firm, she supported engineering teams in designing eco-friendly mechanical systems and contributed to developing new energy-efficient technologies. Her experience has equipped her with a solid foundation in engineering practices and a commitment to advancing sustainable energy innovations.

🔍Research Interests

Ms. Yeo Yi Xuan’s research interests center around sustainable energy systems and renewable energy technologies. She is passionate about developing eco-friendly mechanical solutions that enhance energy efficiency in industrial applications. Her current research focuses on designing high-efficiency solar panels and implementing wind energy solutions to improve energy access and reduce carbon footprints. By exploring innovative materials and technologies, she aims to contribute to the advancement of sustainable energy practices. Her work is driven by the goal of creating a more sustainable and environmentally conscious future through cutting-edge engineering solutions.

📖 Publication

Influence of Multi-Walled Carbon Nanotubes on Thermal Behaviour and Mechanical Properties of Pineapple Leaf Fibre-Based Natural Rubber Composites

Authors: Yi Xuan, Ridzuan M.J.M., Abdul Majid M.S., Khasri A., Ismail M.S.
Journal: Journal of Materials Research and Technology
Year: 2024
Volume: 30
Pages: 8608–8619

Charlene Mariscal | Ethics in Machine Learning | Best Researcher Award

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Ms. Charlene Mariscal | Ethics in Machine Learning | Best Researcher Award

Ms. Charlene Mariscal at Bina Nusantara University, Indonesia

🔗 Profile

Scopus Profile

👨‍⚕️ Academic Background

A motivated and proactive fresh graduate with a keen enthusiasm for data and machine learning. I am a highly skilled Business Intelligence Functional Analyst specializing in data management, data integration, and dashboard development. With a proven track record of optimizing data flow from diverse sources and delivering actionable insights, I excel in driving informed decision-making within a multinational environment. I am adept at managing and training IT teams for operational excellence and passionate about leveraging data to create innovative solutions and drive business growth.

💼 Work Experience

Business Intelligence Functional Analyst & Data Scientist
PT. Japfa Comfeed Indonesia, Jakarta
🗓 Jan 2023 – Apr 2024
As part of a leading multinational agribusiness company, I collaborated with 11 business user divisions to translate requirements into effective technical solutions within 3 months. I maintained over 5 dashboards to enhance data flow and performance, ensuring real-time access to data. My role involved documenting 9 data integration processes and models, troubleshooting data integration issues, and implementing data quality assurance processes across 100+ tables. I deployed 4 machine learning sales forecast models in AWS Forecast and achieved 97% accuracy in predicting birds’ body weight using XGBoost Models. Additionally, I conducted research on LLM performance, comparing ChatGPT, Amazon Bedrock, and Google Gemini.

AI Researcher Intern – BRI Brain Academy
PT. Bank Rakyat Indonesia, Jakarta
🗓 Feb 2022 – Jul 2022
At one of Indonesia’s largest state-owned banks, I conducted research on bias and fairness in machine learning, improving fairness metrics by 70% while maintaining 90% performance in credit scoring models. I reduced data duplication by 30% using Excel’s conditional formatting and provided 7 fair credit scoring models with ML classifiers including Random Forest, XGBoost, and LightGBM. My role included presenting progress and results weekly to key stakeholders including the Head of AI Division and Senior Vice President of Digital Banking.

Skills & Tools

💻 Programming Languages: SQL, Python, C++
🌐 LLMs: ChatGPT, Google Gemini, Amazon Bedrock
📊 Data & Business Intelligence: SAP ERP, Snowflake, QlikSense, QlikView, PowerBI
🔍 Data Science: Google Cloud Platform (GCP), AWS Forecast, AWS SageMaker
📑 Others: MS Office Suite (Word, Excel, PowerPoint) | Linguist, Attentive Learner, Initiative, Problem-solving, Teamwork

🎓 Education

Bina Nusantara University, Indonesia
📚 Bachelor of Computer Science, 3.79/4.00
🗓 Sept 2018 – Dec 2022

Lancaster University, United Kingdom
🌏 Study Abroad Program
🗓 Oct 2021 – Dec 2021
Related Courses: Introduction to Business Intelligence & Analytics, Project Management Tools & Techniques

🏅 Achievement

Indonesian International Student Mobility Awards (IISMA) Awardee 2021
Recognized for outstanding academic achievement and participation in the IISMA Program. Selected among 2,500+ applicants from 98 universities for a fully-funded study abroad program by the Government of the Republic of Indonesia.

📜 Certifications

📜 Google Advanced Data Analytics Professional Certificate, Jul 2024 – Present
📜 Google Data Analytics – Coursera, Dec 2022

🌍Volunteer Experience

International Community Development Program – BINUS University
Aug 2022
Collaborated with 38 students from international universities to solve real-world challenges in a tourism village in Malang, East Java, Indonesia. Conducted interviews with 20+ locals, analyzed community problems, and implemented the Design Thinking process to propose practical solutions. Promoted the problem-solving idea to over 200 visitors at the project exhibition to raise public awareness of the tourism village.

📖 Publication

Implementing and analyzing fairness in banking credit scoring
  • Authors: Mariscal, C., Yustiawan, Y., Rochim, F.C., Tanuar, E.
  • Journal: Procedia Computer Science
  • Year: 2024

Zdena Dobesova | Machine learning | Best Researcher Award

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Assoc Prof Dr. Zdena Dobesova | Machine learning | Best Researcher Award

Assoc Prof Dr. Zdena Dobesova at Palacký University in Olomouc, Czech Republic

🔗Profiles

 Orcid Profile
 Scopus Profile

🏆 Associate Professor Ing. Zdena DOBEŠOVÁ, Ph.D.

🎓 Educational Background

  • 2017: Habilitation in “System Engineering and Information Science” at University of Pardubice, Faculty of Economics and Administration. Habilitation Thesis: Graphical Notation of Visual Languages in GIS.
  • 2002–2007: Ph.D. in Geoinformatics from Technical University of Ostrava, Faculty of Mining and Geology. Ph.D. Thesis: Cartographical Visualization of Spatial Databases for Regional Information Systems.
  • 1982–1987: Master’s degree in Technical Cybernetics from Czech Technical University Prague, Faculty of Electrical Engineering. Master’s Thesis: Set of Programs for Theory of Automatic Control.
  • 2002–2003: Preparation of tutors for e-learning courses.

📜 Certificates

  • 2022: Script Creation for ArcGIS Pro in Python Language (ArcDATA Prague)
  • 2015: GRASS GIS (GISMentros)
  • 2014: Scripting in Python and Processing CAD Data in ArcGIS for Desktop (VARS Brno)
  • 2010: AutoCAD 2010 CZ (Computer Agency Brno)
  • 2006: Introduction to Scripting in Python Language (ArcDATA Prague)
  • 1988–1989: Logic Programming in PROLOG and Course dBASE III+ (ČSVTS)

🏢 Work Experience

  • 2017–Present: Associate Professor, Department of Geoinformatics, Palacký University Olomouc, Czechia
  • 2001–2016: Assistant Professor, Department of Geoinformatics, Palacký University Olomouc, Czechia
  • 1991–2001: Administrator of Faculty Computer Network, Palacký University Olomouc
  • 1991: Administrator of Computer Laboratory, Department of Mathematical Informatics, Palacký University
  • 1987–1991: Researcher, Department of Construction Research, Kovosvit, Sezimovo Ústí II, Czechia

📚 Lectures (Academic Year 2023/2024)

  • Bachelor Program:
    • Database Systems (KGI/DATAB)
    • Programming for Geoinformatics (KGI/PROPY)
    • Bachelor Theses Seminar 1 & 2 (KGI/BAK1 & KGI/BAK2)
    • Professional Training in Geoinformatics (KGI/PRAB)
  • Master Program:
    • Data Mining (KGI/DATAM)
    • Student Competition in GI (KGI/SOUGI)
    • Geoinformatics in Practice (KGI/GEXE)
  • Doctoral Program:
    • Programming for GIS (KGI/PGPGI)

🔬 Projects (Selection)

  • 2023: Analysis, Modelling, and Visualization of Spatial Phenomena by Geoinformation Technologies II
  • 2020–2023: UrbanDM, ERASMUS+ Jean Monnet Module Project
  • 2019–2020: RODOGEMA – Development of Doctoral Study Programs
  • 2015–2018: GeoS4S – GeoServices-4-Sustainability
  • 2011–2013: BotanGIS – Innovation in Botany Using Geoinformation Technologies

🌍 Stays Abroad

  • 2007: Salzburg, Austria
  • 2010: Zagreb, Croatia
  • 2011: Belgrade, Serbia
  • 2012: Delft, Netherlands
  • 2013: Székesfehérvár, Hungary
  • 2014: Salzburg, Austria
  • 2015: Valencia, Spain
  • 2017: Vienna, Austria
  • 2018: Eberswalde, Germany; Vienna, Austria
  • 2019: Bochum, Germany; Dresden, Germany
  • 2022: Bratislava, Slovakia
  • 2024: Szeged and Székesfehérvár, Hungary

🔍 Scientometrics

  • Web of Science: H-index 7, Publications 49, Sum of Times Cited 227
  • SCOPUS: H-index 10, Publications 50, Sum of Times Cited 358

📚 Membership in Editorial and Advisory Boards

  • ISPRS International Journal of Geo-Information
  • American Journal of Computation, Communication and Control
  • Frontiers in Computer Science, Human-Media Interaction

 

📖 Publication Top Noted

 

Processing of the Time Series of Passenger Railway Transport in EU Countries
Authors: Zdena Dobesova
Journal: Data Analytics in System Engineering
Year: 2024

Evaluation of Orange Data Mining Software and Examples for Lecturing Machine Learning Tasks in Geoinformatics
Authors: Zdena Dobesova
Journal: Computer Applications in Engineering Education
Year: 2024

Evaluation of Changes in Corridor Railway Traffic in the Czech Republic During the Pandemic Year 2020
Authors: Michal Kučera, Zdena Dobešová
Journal: Geographia Cassoviensis
Year: 2023

Map Guide for Botanical Gardens: Multidisciplinary and Educational Storytelling
Authors: Zdena Dobesova, Rostislav Netek, Jan Masopust
Journal: Journal of Geography in Higher Education
Year: 2022

Cognition of Graphical Notation for Processing Data in ERDAS IMAGINE
Authors: Zdena Dobesova
Journal: ISPRS International Journal of Geo-Information
Year: 2021

Analysis of the Degree of Threat to Railway Infrastructure by Falling Tree Vegetation
Authors: Michal Kučera, Zdena Dobesova
Journal: ISPRS International Journal of Geo-Information
Year: 2021

Experiment in Finding Look-Alike European Cities Using Urban Atlas Data
Authors: Zdena Dobesova
Journal: ISPRS International Journal of Geo-Information
Year: 2020