Hina Qureshi | Applied maths | Best Researcher Award

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Mrs. Hina Qureshi, Applied maths, Best Researcher Award

Mrs. Hina Qureshi at University of Gujrat, Pakistan

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Summary

Hina Qureshi, an accomplished mathematician and educator, currently serves as a Lecturer at the University of Gujrat. With a strong academic background and numerous accolades, including a Gold Medal in MPhil Mathematics, she has demonstrated excellence in both teaching and research. Hina is committed to advancing science and technology through her educational and professional pursuits.

Education

  • MPhil in Mathematics (Gold Medalist), University of Gujrat, 2016
  • M.Sc in Mathematics (2nd Position), University of Gujrat, 2014
  • M.Sc in Space Science (6th Position), University of the Punjab, Lahore, 2011
  • B.Sc in Double Math & Physics, University of the Punjab, Lahore, 2009
  • F.Sc in Pre-Engineering, Gujranwala Board, 2006
  • Matric in Science, Federal Board, 2004

Professional Experience

  • Lecturer (BPS-18) Regular, University of Gujrat, Gujrat (August 2018 – Present)
  • Lecturer (BPS-18), University of Gujrat, Sialkot Campus (November 2016 – August 2018)
  • Associate Lecturer (BPS-17), University of Gujrat, Main Campus (October 2015 – April 2016)
  • Maths Teacher, La Salle Academy Sialkot (October 2014 – October 2015)
  • Maths and Science Teacher, Beaconhouse School System (September 2011 – October 2012)

Research Interests

Hina Qureshi’s research interests include:

  • Stochastic techniques for solving nonlinear equations
  • Thermal equilibrium models
  • Computational intelligence for thermal analysis
  • Design of stochastic approximation treatments for longitudinal rectangular fins

Nonlinear porous fin analysis with nanomaterials

Awards and Honors:

    • Gold Medal for MPhil in Mathematics, University of Gujrat, 2016
    • Vice President of Mathematics, Department of Mathematics, University of Gujrat
    • 1st Position in Mathematical Model and Poster Presentation, University of Gujrat
    • Confirmation letter and Shield from Beaconhouse School System
    • Active member of college drama and debating society
    • Sports Vice President in Federal School

📖 Publication Top Noted

Article Title:  A novel design of stochastic approximation treatment of longitudinal rectangular fin dynamical model

  • Authors: Ahmad, I., Qureshi, H., Zahoor Raja, M.A., Hussain, S.I., Fatima, S.
  • Journal: Case Studies in Thermal Engineering
  • Volume: 54
  • Issue: Not specified
  • Pages: 104042
  • Year: 2024

Article Title: Stochastic technique for solutions of non-linear fin equation arising in thermal equilibrium model

  • Authors: Ahmad, I., Qureshi, H., Bilal, M., Usman, M.
  • Journal: Thermal Science
  • Volume: 24
  • Issue: Not specified
  • Pages: 3013-3022
  • Year: 2020

Ebrahim Ghaderpour | Financial Data Analysis | Best Researcher Award

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Dr. Ebrahim Ghaderpour, Financial Data Analysis, Best Researcher Award

Doctorate at Sapienza University of Rome, Italy

Professional Profile

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Summary

Dr. Ebrahim Ghaderpour is an accomplished Assistant Professor in Remote Sensing for Engineering Geology at Sapienza University of Rome, specializing in ground deformation processes and cultural heritage monitoring using remote sensing techniques. He is also the Founder and CEO of Earth and Space Inc., focusing on Earth observation data analysis. With a robust background in academia and industry, Dr. Ghaderpour has extensive experience in teaching, research, and software development across various scientific disciplines.

Education

  • Ph.D. in Big Data Analytics, York University, Toronto, ON, Canada, 2018
  • Ph.D. in Theoretical and Computational Science, University of Lethbridge, Lethbridge, AB, Canada, 2014
  • M.Sc. in Mathematics, Isfahan University of Technology, Isfahan, Iran, 2010
  • B.Sc. in Applied Mathematics, University of Isfahan, Isfahan, Iran, 2007

Professional Experience

  • Assistant Professor, Department of Earth Sciences, Sapienza University of Rome, Italy (2022-present)
  • Founder and CEO, Earth and Space Inc., Calgary, AB, Canada (2020-present)
  • Postdoctoral Associate, Department of Geomatics Engineering, University of Calgary, Canada (2021-2022)
  • Sessional Instructor, University of Calgary and University of Lethbridge, Canada (2016-2022)
  • Research and Teaching Assistant, York University and University of Lethbridge, Canada (2013-2016)

📖 Publication Top Noted

Article: A fractional-order multiple-model type-2 fuzzy control for interconnected power systems incorporating renewable energies and demand response

  • Authors: Yan, S.-R., Dai, Y., Shakibjoo, A.D., Ghaderpour, E., Mohammadzadeh, A.
  • Journal: Energy Reports
  • Volume: 12
  • Pages: 187–196
  • Year: 2024

Article: On the stochastic significance of peaks in the least-squares wavelet spectrogram and an application in GNSS time series analysis

  • Authors: Ghaderpour, E., Pagiatakis, S.D., Mugnozza, G.S., Mazzanti, P.
  • Journal: Signal Processing
  • Volume: 223
  • Pages: 109581
  • Year: 2024

Article: Ground deformation monitoring via PS-InSAR time series: An industrial zone in Sacco River Valley, central Italy

  • Authors: Ghaderpour, E., Mazzanti, P., Bozzano, F., Scarascia Mugnozza, G.
  • Journal: Remote Sensing Applications: Society and Environment
  • Volume: 34
  • Pages: 101191
  • Year: 2024

Article: A fast and robust method for detecting trend turning points in InSAR displacement time series

  • Authors: Ghaderpour, E., Antonielli, B., Bozzano, F., Scarascia Mugnozza, G., Mazzanti, P.
  • Journal: Computers and Geosciences
  • Volume: 185
  • Pages: 105546
  • Year: 2024

Article: Personalized Blood Pressure Control by Machine Learning for Remote Patient Monitoring

  • Authors: Vu, M.T., Alattas, K.A., Bouteraa, Y., Ghaderpour, E., Mohammadzadeh, A.
  • Journal: IEEE Access
  • Year: 2024

Mr. Benjamin Borketey | Machine Learning for fraud detection | Global Data Innovation Recognition Award

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Mr. Benjamin Borketey, Machine Learning for fraud detection, Global Data Innovation Recognition Award

Mr. Benjamin Borketey at First Citizens Bank, United States

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Summary of Skills

Over 5 years of experience in Data Analytics, Economic Forecasting, Time Series Modelling, Statistical Modelling, Machine Learning, and Data Management.

Professional Experience

Risk Analyst III, First Citizens Bank, NC
October 2023 to Date

  • Independently validate financial crime models (AML, fraud), probability of default (PD), loss given default (LGD), and exposure at default (EAD) for commercial and industrial portfolios.
  • Provide effective challenges, mitigate model risks, and produce comprehensive validation reports.

Quant Model Analyst, U.S Bank, NC
August 2021-September 2023

  • Perform complex mathematical analysis using statistical methods and machine learning techniques.
  • Build and validate fraud detection models and interpret statistical findings for senior management.

Quant Model Analyst, Flagstar Bank, MI
January 2018-August 2021

  • Validate bank-wide models and prepare reports for senior management and regulators.
  • Analyze large datasets to provide strategic insights.

Education

Purdue University
Post Graduate Program in AI and Machine Learning, August 2022

The University of Akron, Ohio
Master of Arts in Economics, December 2017

University of Cape Coast
Bachelor of Arts in Economics and Mathematics, May 2014

Professional Association

  • Association of Data Scientists
  • International Society for Data Science and Analytics (ISDSA)
  • Data Visualization Society
  • Institute of Electrical and Electronics Engineers (Computer Science Society)

Certification Awards

  • Economic Data Analytics Certificate, SAS Institute

Conference Presentation

  • Presented at Global Insight Conference on Artificial Intelligence, 2024
  • International Society for Data Science and Analytics, 2024

Certifications

  • Statistics Essential for Data Science (Simplilearn)
  • Introduction to Artificial Intelligence
  • Python for Data Science (Simplilearn)
  • Data Science with Python (Simplilearn)
  • Machine Learning (Simplilearn)
  • Deep Learning with TensorFlow and Keras (Simplilearn)
  • Advance Deep Learning and Computer Vision (Simplilearn)
  • SAS Certificate in Economics (SAS Institute)
  • Certified Peer Reviewer (Elsevier)

📖 Publication Top Noted

  • How hourly wage and the probability of committing a crime ( May 2024).

  • Real-Time Fraud Detection Using Machine Learning. ( May 2024).

 

Hui Peng | Predictive control | Best Researcher Award

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Dr. Hui Peng, Predictive control, Best Researcher Award

Doctorate at Central South University, China

Professional Profile

Scopus Profile

Summary

Hui Peng is a distinguished professor at Central South University’s School of Automation, with extensive experience in control engineering and statistical science. His prolific career includes over 70 publications and significant contributions to real industrial process control projects.

Education

Hui Peng holds a robust academic background in control engineering and statistical science. He earned both his B.Eng. and M.Eng. degrees in Control Engineering from Central South University, Changsha, China, in 1983 and 1986, respectively. Furthering his expertise, he obtained his Ph.D. in Statistical Science from the Graduate University for Advanced Studies in Hayama, Japan, in 2003. His diverse educational journey has provided him with a solid foundation in both theoretical and applied aspects of control engineering and statistical analysis.

Professional Experience

Hui Peng has built a distinguished career in academia and industry. Since 1998, he has been a Professor in the School of Automation at Central South University in Changsha, China. His international experience includes serving as a Visiting Professor at the Institute of Statistical Mathematics in Tokyo, Japan, from 2000 to 2004 and again from 2009 to 2010. Since 2010, he has also been a Foreign Cooperative Professor at the Graduate University for Advanced Studies in Japan. Over his career, Hui Peng has authored more than 70 papers in international journals and co-invented a patent in Japan. He has successfully completed over ten real industrial process control projects, working with systems such as earth pressure balance shield machines, marine ships, cut tobacco dryers, thermal power plants, quadrotor helicopters, magnetic levitation systems, heat-treatment processes, and chemical reaction processes.

Research Interests

Hui Peng’s research interests lie at the intersection of control engineering and statistical science. His work focuses on nonlinear system modeling, statistical modeling, and system identification. He is also deeply involved in nonlinear optimization and signal processing, exploring advanced techniques to enhance predictive and robust control systems. His expertise extends to process control, where he applies his knowledge to improve the efficiency and reliability of industrial processes. Additionally, Hui Peng is interested in financial process modeling and portfolio optimization, aiming to develop sophisticated models for better financial decision-making and risk management.

📖 Publication Top Noted

Deep learning based model predictive controller on a magnetic levitation ball system

    • Authors: Peng, T., Peng, H., Li, R.
    • Journal: ISA Transactions
    • Volume: 149
    • Pages: 348–364
    • Year: 2024

Parameter Optimization of Steam Generator Water Level Control System Based on Piecewise ARX Modeling

    • Authors: Liu, F., Jiang, Y., Li, Y., Wang, J., Peng, T.
    • Journal: IEEE Transactions on Nuclear Science
    • Volume: 71
    • Issue: 2
    • Pages: 135–153
    • Year: 2024

A novel nonlinear model predictive control strategy and its application to maglev ball system

    • Authors: Peng, T., Li, H., Peng, H., Qin, Y., Peng, X.
    • Journal: International Journal of Control
    • Year: 2024

Machine vision-based online detection method for color characteristics of cobalt extraction solution

    • Authors: Zhang, H., Qu, Y., Peng, H., Peng, T., Tian, B.
    • Journal: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
    • Year: 2024

RBF-ARX model-based MPC approach to inverted pendulum: An event-triggered mechanism

    • Authors: Tian, B., Peng, H.
    • Journal: Chaos, Solitons and Fractals
    • Volume: 176
    • Page: 114081
    • Year: 2023

LSTM-CNN Network-Based State-Dependent ARX Modeling and Predictive Control with Application to Water Tank System

    • Authors: Kang, T., Peng, H., Peng, X.
    • Journal: Actuators
    • Volume: 12
    • Issue: 7
    • Page: 274
    • Year: 2023

Van Ngoc Bui | Bioanalysis and Biochemistry | Best Researcher Award

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Dr. Van Ngoc Bui, Bioanalysis and Biochemistry, Best Faculty Award

Doctorate at Institute of Biotechnology, Vietnam Academy of Science and Technology, Vietnam

Professional Profile

Scopus Profile

Summary

Dr. Bui Van Ngoc is a distinguished bioinformatician and molecular biologist, leading the Bioinformatics Department and serving as the Deputy Director of the National Key Laboratory of Gene Technology. His research primarily focuses on the development of diagnostic tools, functional genomics, and bioinformatic analyses of various microorganisms and human stem cells. He has published 14 SCI/SCIE papers, nearly 40 national papers, and has been a principal investigator for multiple national and ministerial-level projects.

Education

  • Engineer, Vietnam National University of Agriculture, 09/1999, Food Technology
  • Master, Hanoi University of Science and Technology, 10/2002, Biotechnology
  • Master, University of Stuttgart, Germany, 11/2006, Technical Biochemistry
  • Doctorate (Dr.rer.nat), University of Heidelberg, Germany, 07/2010, Biological Pharmacy
  • PostDoc, IPMB, University of Heidelberg, Germany, 11/2014, Genomics and Biological Pharmacy

Professional Experience

Dr. Bui Van Ngoc has extensive experience in bioinformatics and molecular biology. He began his career as a Project Coordinator at CIRAD in France, where he coordinated international agricultural research projects. He then worked as a Research Fellow at the Vietnam Institute of Industrial Chemistry, contributing to industrial biotechnology advancements. At the University of Heidelberg’s IPMB, Dr. Bui expanded his expertise in genomics and biological pharmacy as a Research Fellow. Currently, he leads the Bioinformatics Department and serves as the Deputy Director of the National Key Laboratory of Gene Technology at the Institute of Biotechnology, Vietnam Academy of Science and Technology. In these roles, he has overseen the development of diagnostic tools, conducted functional genomic studies, and advanced bioinformatic analyses, significantly contributing to Vietnam’s scientific community.

Research Interests

Dr. Bui Van Ngoc’s research interests lie at the intersection of bioinformatics, molecular biology, and genomics. He is deeply engaged in the development of diagnostic tools such as kits, biosensors, and DNA microarrays for the detection of potentially cancer-causing compounds and pathogenic microorganisms. His work in functional genomics focuses on analyzing cellular biochemical pathways in response to DNA damage, providing insights into cellular repair mechanisms and cancer biology. Additionally, Dr. Bui is dedicated to creating advanced bioinformatic tools to analyze and exploit biological data from various microorganisms, including viruses, bacteria, fungi, and human stem cells. Through his research, he aims to enhance our understanding of complex biological systems and contribute to the development of innovative solutions in biotechnology and healthcare.

📖 Publication Top Noted

Title: An analysis of the bacterial community in and around scleractinian corals of Phu Quoc Island, Vietnam

    • Authors: Nguyen, D.H., Bettarel, Y., Chu, H.H., Bui, V.N.
    • Journal: Regional Studies in Marine Science
    • Volume: 60
    • Pages: 102817
    • Year: 2023

Title: Metagenomic data of bacterial communities associated with Acropora species from Phu Quoc Islands, Vietnam

    • Authors: Nguyen, D.H., Chu, N.H., Bettarel, Y., Chu, H.H., Bui, V.N.
    • Journal: Data in Brief
    • Volume: 47
    • Pages: 108977
    • Year: 2023

Title: Diversity and Biogeography of Coral Mucus-Associated Bacterial Communities: The Case of Acropora formosa

    • Authors: Bui, V.N., Nguyen, D.H., Chu, N.H., Bouvier, T., Chu, H.H.
    • Journal: Journal of Marine Science and Engineering
    • Volume: 11
    • Issue: 1
    • Pages: 74
    • Year: 2023

Title: Procarcinogens – Determination and evaluation by yeast-based biosensor transformed with plasmids incorporating RAD54 reporter construct and cytochrome P450 genes

    • Authors: Bui, V.N., Nguyen, T.T.H., Mai, C.T., Nguyen, H.D., Wölfl, S.
    • Journal: PLoS ONE
    • Volume: 11
    • Issue: 12
    • Pages: e0168721
    • Year: 2016

Title: Flow cytometric enumeration of bacterial in the coral surface mucus layer

    • Authors: Yvan, B., Thanh, M.C., Patrice, G., Bui, V.N., Thierry, B.
    • Journal: Journal of Microbiological Methods
    • Volume: 128
    • Pages: 16–19
    • Year: 2016

Title: Viral and bacterial epibionts in thermally-stressed corals

    • Authors: Nguyen-Kim, H., Bouvier, T., Bouvier, C., Le-Lan, H., Bettarel, Y.
    • Journal: Journal of Marine Science and Engineering
    • Volume: 3
    • Issue: 4
    • Pages: 1272–1286
    • Year: 2015

Title: Genotoxicity of chemical compounds identification and assessment by yeast cells transformed with GFP reporter constructs regulated by the PLM2 or DIN7 Promoter

    • Authors: Bui, V.N., Nguyen, T.T.H., Bettarel, Y., Nghiem, N.M., Wölfl, S.
    • Journal: International Journal of Toxicology
    • Volume: 34
    • Issue: 1
    • Pages: 31–43
    • Year: 2015

Title: Computer controlled automated assay for comprehensive studies of enzyme kinetic parameters

    • Authors: Bonowski, F., Kitanovic, A., Ruoff, P., Lederer, E., Wölfl, S.
    • Journal: PLoS ONE
    • Volume: 5
    • Issue: 5
    • Pages: e10727
    • Year: 2010

Stamatis Kavasilis | Agricultural Data Analysis | Best Faculty Award

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Mr. Stamatis Kavasilis, Agricultural Data Analysis, Best Faculty Award

Mr. Stamatis Kavasilis at Open University of Cyprus, Cyprus

Professional Profile

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Summary

Stamatis Kavasilis is an agronomist and soil expert with extensive experience in composting, soil classification, land use, and environmental impacts. He is currently a PhD candidate at Open University of Cyprus, focusing on producing acidic/neutral composts for circular economy in Mediterranean agro-livestock holdings. Stamatis is a member of the scientific staff at the Benaki Phytopathological Institute’s Laboratory of Non-Parasitic Diseases, Soil Resources, and Geoinformatics.

Education

Stamatis Kavasilis graduated from the Department of Natural Resources Management and Agricultural Engineering at the Agricultural University of Athens (AUA), specializing in Soil Science and Agricultural Soil Chemistry. His academic journey equipped him with a deep understanding of soil management practices, focusing on sustainable agriculture and the application of soil resources.

Professional Experience

Stamatis Kavasilis has accumulated extensive professional experience in agronomy and soil science. Currently serving as a scientific staff member at the Benaki Phytopathological Institute’s Laboratory of Non-Parasitic Diseases, Soil Resources, and Geoinformatics, he plays a pivotal role in researching composting methods, soil classification, and the sustainable management of agricultural resources. His career also includes significant contributions to research projects at both the Agricultural University of Athens and Aristotle University of Thessaloniki, where he has been involved in national and European initiatives aimed at enhancing soil quality and environmental sustainability.

Research Interests

Stamatis Kavasilis’s research interests encompass various aspects of soil science and agronomy, with a particular focus on composting techniques for agricultural sustainability. His work explores innovative methods to produce acidic/neutral composts using agricultural additives, aiming to support the circular economy within Mediterranean agro-livestock systems. Additionally, he is passionate about soil classification, land use optimization, and addressing environmental challenges such as desertification and pollution impacts through integrated soil management practices. His research contributes to advancing knowledge in soil science and promoting sustainable agricultural practices regionally and beyond.

📖 Publication Top Noted

Composting Animal Mortalities: An effective method for Agro-Silvo-Pastoral Systems utilizing natural zeolite

  • Authors: Stamatis Kavasilis, Maria Doula, Antonis Zorpas A., Leonidas Cambanis
  • Conference: Global NEST International Conference on Environmental Science & Technology
  • Date: 2023-08-28

The status of organochlorine pesticide contamination in Greek agricultural soils: the ghost of traditional agricultural history

    • Authors: P. Tsiantas, H. Karasali, G. Pavlidis, Stamatis Kavasilis, Maria Doula
    • Journal: Environmental Science and Pollution Research International
    • Date: 2023

Impact of site-specific fertilizing management in carbon and water footprint. The case of cotton under Mediterranean conditions

    • Authors: Antonios Papadopoulos, Gerasimos Troyanos, Dionissios Kalivas, Maria Doula, Stamatis Kavasilis, Georgios Zagklis, Chronis Kolovos
    • Conference: EGU General Assembly Conference Abstracts
    • Date: 2020-05

Composting winery wastes with clinoptilolite. Suitability for land application.

    • Authors: Chronis Kolovos, Maria Doula, Stamatis Kavasilis, Georgios Zagklis, Gerasimos Tsitselis, Panagiotis Kostopoulos
    • Date: 2020-03-23

Md. Azizur Rahman | Solar Energy | Best Researcher Award

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Mr. Md. Azizur Rahman, Solar Energy, Best Researcher Award

Mr. Md. Azizur Rahman at Begum Rokeya University Rangpur, Bangladesh

Professional Profile

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Summary

Md. Azizur Rahman is a dedicated and self-driven Electrical and Electronic Engineering student at Begum Rokeya University, Rangpur. With a focus on solar energy conversion and extensive experience in SCAPS-1D Software, DFT-CASTAP, and DFT-Quantum Espresso, he aims to leverage his technical skills in a well-established and environment-friendly organization. Azizur is known for his optimistic, confident, and hardworking nature.

Education

Md. Azizur Rahman is currently pursuing his Bachelor of Science in Electrical and Electronic Engineering at Begum Rokeya University, Rangpur. As a 4th-year student, he has demonstrated a strong commitment to his studies and an exceptional understanding of advanced engineering concepts. Prior to his university education, Azizur completed his Higher Secondary Certificate (HSC) from Rajibpur Degree College in 2018, where he developed a solid foundation in science and mathematics. He also holds a Secondary School Certificate (SSC) from Rajibpur Pilot High School, achieved in 2016, where he first discovered his passion for engineering and technology. Throughout his academic journey, Azizur has consistently excelled, showcasing his dedication, intellect, and potential for future contributions to the field of electrical and electronic engineering.

Professional Experience

Md. Azizur Rahman has cultivated a robust foundation in solar energy conversion and computational simulations through his academic and practical experiences. His expertise includes hands-on proficiency with SCAPS-1D Software, DFT-CASTAP, and DFT-Quantum Espresso, tools essential for modeling and analyzing photovoltaic devices and materials. This technical skill set has enabled him to conduct detailed simulations and analyses, contributing to the optimization of solar energy systems. Azizur’s experience also encompasses a broad range of technical competencies, including operating systems (Windows 7, 8.1, 10), word processing (Microsoft Word), spreadsheet analysis (MS Excel, MS Access, Origin Pro), and presentation software (MS PowerPoint). Additionally, he is adept in Internet of Things (IoT) applications, internet browsing, Photoshop, and programming in C/C++. His practical and diverse technical expertise positions him well for a successful career in electrical and electronic engineering, particularly in environmentally sustainable energy solutions.

Research Interests

Md. Azizur Rahman’s research interests lie at the intersection of renewable energy technologies and computational simulations. He is particularly focused on solar energy conversion, aiming to improve the efficiency and sustainability of photovoltaic systems. Through his work with advanced software tools such as SCAPS-1D, DFT-CASTAP, and DFT-Quantum Espresso, Azizur investigates the electronic and structural properties of materials used in solar cells. His goal is to optimize these materials for better performance and to develop innovative solutions for energy challenges. Additionally, he is interested in exploring the applications of Internet of Things (IoT) in energy systems to enhance monitoring and efficiency. Azizur’s passion for renewable energy and his technical expertise drive his commitment to contributing to the advancement of sustainable energy technologies.

📖 Publication Top Noted

A novel investigation into strain-induced changes in the physical properties and solar cell performances of lead-free Ca3NCl3 perovskite

    • Authors: Buian, M.F.I., Islam Ria, M.S., Ghosh, A., Sonic, M.M.R., Alrafai, H.A.
    • Journal: Materials Science in Semiconductor Processing
    • Volume: 180
    • Pages: 108580
    • Year: 2024

Impact of A-Cations Modified on the Structural, Electronic, Optical, Mechanical, and Solar Cell Performance of Inorganic Novel A3NCl3 (A = Ba, Sr, and Ca) Perovskites

    • Authors: Rahman, M.A., Rahman, M.F., Marasamy, L., Chaudhry, A.R., Irfan, A.
    • Journal: Energy and Fuels
    • Volume: 38
    • Issue: 9
    • Pages: 8199–8217
    • Year: 2024

Analysis of the role of A-cations in lead-free A3SbI3 (A = Ba, Sr, Ca) perovskite solar cells

    • Authors: Harun-Or-Rashid, M., Farhat, L.B., Brahmia, A., Azzouz-Rached, A., Rahman, M.F.
    • Journal: Journal of Materials Science
    • Volume: 59
    • Issue: 15
    • Pages: 6365–6385
    • Year: 2024

An investigation on strain-incited electronic and optical properties of novel inorganic cubic material Sr3AsCl3

    • Authors: Rahman, M.F., Islam, M.M., Islam, M.R., Albalawi, H., Mahmood, Q.
    • Journal: Journal of Solid State Chemistry
    • Volume: 328
    • Pages: 124341
    • Year: 2023

Unraveling the strain-induced and spin-orbit coupling effect of novel inorganic halide perovskites of Ca3AsI3 using DFT

    • Authors: Rahman, M.F., Rahman, M.A., Islam, M.R., Hossain, M.K., Islam, M.A.
    • Journal: AIP Advances
    • Volume: 13
    • Issue: 8
    • Pages: 085329
    • Year: 2023

David Garcia-Sanoguera | Eco-efficient materials | Best Researcher Award

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Prof Dr. David Garcia-Sanoguera, Eco-efficient materials, Best Researcher Award

Prof Dr. David Garcia-Sanoguera at Universitat Politècnica de València, Spain

Professional Profile

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Summary

David García Sanoguera is a distinguished Catedrático at Universitat Politècnica de València, specializing in materials engineering with a focus on plastics, material properties, and materials technology. He has contributed extensively to research and education, holding significant positions within the university and leading multiple doctoral theses and R&D projects.

Education

  • Doctorate: Universidad Politécnica de Valencia, 2005, with a thesis on mechanisms of compatibilization of recycled PVC materials.
  • Ingeniero de Materiales: Universidad Politécnica de Valencia, 2001.
  • Ingeniero Técnico Industrial Mecánico: Universidad Politécnica de Valencia, 1997.

Professional Experience

  • Catedrático/a de Universidad, Universitat Politècnica de València (2018-Present): Leading academic and research activities in the Department of Mechanical and Materials Engineering.
  • Subdirector of EPSA/Másteres y Formación Permanente, Universitat Politècnica de València (2017-2020).
  • Profesor/a Titular de Universidad, Universitat Politècnica de València (2009-2018).
  • Subdirector of the Department of Mechanical and Materials Engineering, Universitat Politècnica de València (2012-2016).
  • Profesor/a Contratado/a Doctor, Universitat Politècnica de València (2007-2009).
  • Profesor/a Colaborador/a, Universitat Politècnica de València (2005-2007).
  • Profesor/a Asociado/a, Universitat Politècnica de València (2000-2005).

Research Interests

  • Materials Engineering: Specializing in plastics, material properties, and materials technology.
  • Environmental Sustainability: Development and optimization of high-performance environmentally friendly materials from natural sources.
  • Advanced Material Processing: Digital modeling, simulation, and advanced material manufacturing.
  • Polymer Composites: Enhancing mechanical and thermal properties through nanotechnology and innovative processing techniques.

📖 Publication Top Noted

Development and characterization of thermoplastic zein biopolymers plasticized with glycerol suitable for injection molding

    • Authors: Rojas-Lema, S., Gomez-Caturla, J., Balart, R., Arrieta, M.P., Garcia-Sanoguera, D.
    • Journal: Industrial Crops and Products
    • Volume: 218
    • Article Number: 119035
    • Year: 2024

Optimizing biobased thermoset resins by incorporating cinnamon derivative into acrylated epoxidized soybean oil

    • Authors: Lascano, D., Gomez-Caturla, J., Garcia-Sanoguera, D., Garcia-Garcia, D., Ivorra-Martinez, J.
    • Journal: Materials and Design
    • Volume: 243
    • Article Number: 113084
    • Year: 2024

Development and Characterization of New Environmentally Friendly Polylactide Formulations with Terpenoid-Based Plasticizers with Improved Ductility

    • Authors: Gomez-Caturla, J., Tejada-Oliveros, R., Ivorra-Martinez, J., Balart, R., Garcia-Garcia, D.
    • Journal: Journal of Polymers and the Environment
    • Volume: 32
    • Issue: 2
    • Pages: 749–762
    • Year: 2024

Development and Characterization of Polylactide Blends with Improved Toughness by Reactive Extrusion with Lactic Acid Oligomers

    • Authors: Tejada-Oliveros, R., Fiori, S., Gomez-Caturla, J., Quiles-Carrillo, L., Garcia-Sanoguera, D.
    • Journal: Polymers
    • Volume: 14
    • Issue: 9
    • Article Number: 1874
    • Year: 2022

The effect of varying the amount of short hemp fibers on mechanical and thermal properties of wood–plastic composites from biobased polyethylene processed by injection molding

    • Authors: Dolçà, C., Fages, E., Gonga, E., Balart, R., Quiles-Carrillo, L.
    • Journal: Polymers
    • Volume: 14
    • Issue: 1
    • Article Number: 138
    • Year: 2022

Konstantinos Kolomvatsos | Pervasive Data Science | Best Researcher Award

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Assist Prof Dr. Konstantinos Kolomvatsos, Pervasive Data Science, Best Researcher Award

Assist Prof Dr. Konstantinos Kolomvatsos at University of Thessaly, Greece

Professional Profile

Scopus  Profile

Summary

Konstantinos (Kostas) Kolomvatsos is an Assistant Professor in the Department of Informatics and Telecommunications at the University of Thessaly. He has extensive experience in academia, research, and administrative roles, with a strong focus on intelligent systems, pervasive computing, and data analysis. He has held various academic positions and led numerous national and international research projects, contributing significantly to the field of computer science.

Education

  • Ph.D. in Computer Science
    Department of Informatics and Telecommunications, University of Athens
    GPA: Excellent
  • M.Sc. in Computer Science
    Department of Informatics and Telecommunications, University of Athens
    GPA: 8.48/10
  • B.Sc. in Informatics
    Department of Informatics, Athens University of Economics and Business
    GPA: 7.20/10 (Top 10% of class)

Professional Experience

  • Assistant Professor (6/2020 – Present)
    Department of Informatics and Telecommunications, University of Thessaly
  • Teaching Staff, Researcher (2017 – 6/2020)
    Department of Informatics and Telecommunications, National and Kapodistrian University of Athens
  • Instructor in Postgraduate Programmes (2016 – 2020)
    University of Thessaly
  • Adjunct Lecturer (2014 – 2019)
    Department of Electrical and Computer Engineering, University of Thessaly
  • Teaching Assistant (2001 – 2004)
    Department of Forestry and Natural Environment Administration, Technical University of Larissa

Research Interests

Konstantinos Kolomvatsos’s research interests include:

  • Intelligent systems and pervasive computing
  • Data mining and machine learning
  • Edge computing and distributed systems
  • AI-enabled healthcare services
  • Semantic and distributed databases

Research Activities

Konstantinos Kolomvatsos has been the principal investigator for multiple European and national research projects, including:

  • ESCORT: AI Enabled Healthcare Services During Cross-Border Medical Emergencies and Regular Patient Services (Horizon Europe)
  • TRACE: Integration and Harmonization of Logistics Operations (Horizon Europe)
  • SILVANUS: Integrated Technological and Information Platform for Wildfire Management (H2020)
  • PLATON: Development of Support System for Doctors and Cancer Patients (National Funding)
  • ELLIOT: Intelligent Nutrition Assistant (H2020 Shapes Project)
  • SaveWoodenBoats: National Funding

He has also contributed as a researcher in various other European projects like ARESIBO, OCEAN2020, ROBORDER, and RAWFIE.

Konstantinos Kolomvatsos is the founder and scientific leader of the Intelligent Pervasive Systems (iPRISM) Research Group and the co-founder and director of the Research Lab ‘Intelligent Systems for Orchestrating Pervasive Computing Applications’ (METIS Lab). His work includes significant contributions to the development and scheduling of academic courses in his field.

📖 Publication Top Noted

An intelligent sequential fraud detection model based on deep learning

    • Authors: Zioviris, G., Kolomvatsos, K., Stamoulis, G.
    • Journal: Journal of Supercomputing
    • Volume: 80
    • Issue: 10
    • Pages: 14824–14847
    • Year: 2024

Autonomous proactive data management in support of pervasive edge applications

    • Authors: Kolomvatsos, K., Anagnostopoulos, C.
    • Journal: Future Generation Computer Systems
    • Volume: 155
    • Pages: 108–120
    • Year: 2024

Cluster based similarity extraction upon distributed datasets

    • Authors: Moustakas, T., Kolomvatsos, K.
    • Journal: Cluster Computing
    • Volume: 27
    • Issue: 3
    • Pages: 2917–2929
    • Year: 2024

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters

    • Authors: Lioliopoulos, P., Oikonomou, P., Boulougaris, G., Kolomvatsos, K.
    • Journal: Sensors
    • Volume: 24
    • Issue: 7
    • Article Number: 2273
    • Year: 2024

Data management and selectivity in collaborative pervasive edge computing

    • Authors: Papathanasiou, D., Kolomvatsos, K.
    • Journal: Computing
    • Status: Article in Press
    • Year: 2024

Eleni Nanou | Spectroscopy-Food analysis | Best Researcher Award

Published on by Research Data Analysis

Ms. Eleni Nanou, Spectroscopy-Food analysis, Best Researcher Award

Ms. Eleni Nanou at University of Patras, Greece

Professional Profile

Google Scholar Profile
Orcid  Profile

🌟Summary

Eleni Nanou is a PhD Candidate in Physics at the University of Patras, Greece, specializing in Materials Physics and Technology – Photonics. Her research focuses on Laser Induced Breakdown Spectroscopy (LIBS) and its applications in food analysis. Eleni has extensive experience in spectroscopic data analysis, employing machine learning algorithms to enhance analytical techniques.

🎓Education

Eleni Nanou holds a PhD candidacy in Physics at the University of Patras, Greece, specializing in Materials Physics and Technology – Photonics, which she pursued following the completion of her MSc in the same field. Her academic journey began with a BSc in Physics, all at the University of Patras. Throughout her education, Eleni has developed expertise in Laser Induced Breakdown Spectroscopy (LIBS) and its applications in food analysis, supported by her proficiency in spectroscopic data analysis and machine learning algorithms.

💼 Professional Experience

Eleni has contributed to various research projects, including roles such as Graduate Research Assistant, focusing on the application of LIBS in food science and the development of algorithmic models for spectroscopic data analysis. She has also been involved in experimental setup design and optimization at institutions like the Laser Research Facility (VULRC), Vilnius University.

🔬 Research Interests

Eleni Nanou’s research interests center around advancing the field of Laser Induced Breakdown Spectroscopy (LIBS) applied to food analysis and beyond. Her work focuses on developing innovative techniques for rapid and accurate identification and characterization of materials, particularly in the context of food authentication and quality assessment. She is passionate about integrating advanced spectroscopic methods with machine learning algorithms to enhance data analysis capabilities, aiming to contribute to the development of more efficient and reliable analytical tools for diverse applications in materials science and technology.

📖 Publication Top Noted

    • Authors: Eleni Nanou, Nefeli Pliatsika, Dimitrios Stefas, Stelios Couris
    • Journal: Food Control
    • Year: 2023
    • Authors: Eleni Nanou, Dimitrios Stefas, Stelios Couris
    • Journal: Food Chemistry
    • Year: 2023
    • Authors: Eleni Nanou, Nefeli Pliatsika, Stelios Couris
    • Journal: Molecules
    • Year: 2023
    • Authors: Eleni Nanou, Nefeli Pliatsika, Dimitrios Stefas, Stelios Couris
    • Journal: Journal of Food Composition and Analysis
    • Year: 2024
    • Authors: Dimitrios Stefas, Nikolaos Gyftokostas, Panagiotis Kourelias, Eleni Nanou, Chrysoula Tananaki, Dimitrios Kanelis, Vasileios Liolios, Vasileios Kokkinos, Christos Bouras, Stelios Couris
    • Journal: Food Control
    • Year: 2022