Agus Nursalim, Innovation in Data Analysis, Best Researcher Award 

Mr. Agus Nursalim, Innovation in Data Analysis, Best Researcher Award 

Mr. Agus Nursalim at Universitas Pendidikan, Indonesia

Profile

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🌟Academic Achievements 

Dr. Ana Sevilla-Pavón is renowned for her exceptional academic achievements. 🎓 She holds a prestigious Fulbright scholarship from Harvard University and has conducted research stays at UC Berkeley. Her dedication to advancing knowledge in computer-assisted language learning, gender equality in education, and global citizenship is reflected in her numerous publications and leadership roles in international projects. 🌍📚

🎓 Educational Background

I hold a Bachelor's Degree in Interior Design from Universitas Negeri Surakarta Sebelas Maret in Surakarta, Indonesia, which I completed in 1989. Following this, I pursued a Master’s Degree in Architecture at Institut Teknologi Bandung in Bandung, Indonesia, graduating in 2005. My academic journey culminated with a Doctorate in Art Education from Universitas Negeri Semarang in Semarang, Indonesia, which I completed in 2018. This diverse educational background has equipped me with a rich blend of design, architecture, and art education expertise.

💼 Professional Experience 

Elena Sandri boasts a diverse and accomplished professional background. 💼 As the Director of the Podiatry Department at Universidad Católica de Valencia San Vicente Mártir, Elena has made significant contributions to healthcare education. Her extensive experience includes roles in business administration, physiology, and biomedical physics, showcasing her commitment to integrating health and educational innovations. 🩺📈

🔬Research Interests 

Eleni Nanou’s research is at the cutting edge of Materials Physics and Technology - Photonics. 🔬 Her work focuses on Laser Induced Breakdown Spectroscopy (LIBS) applied to food analysis. Eleni’s expertise in spectroscopic data analysis and machine learning algorithms highlights her dedication to advancing food safety and quality through innovative scientific techniques. 🍎🔍

📖 Publication

La teak: Painted Animation as an Educational Media Maintaining Tree Sustainability AR 3D Filter-Based
  • Authors: Nurlaila, Nursalim, A., Suryadi, A.
  • Journal: Digital Applications in Archaeology and Cultural Heritage
  • Year: 2024
Batik Mask Manufacturing Technology as an Appearance Equipment and for the Prevention of the Spread of COVID-19
  • Authors: Nursalim, A., Sobandi, B., Sya’Bany, D.M.
  • Journal: Journal of Engineering Science and Technology
  • Year: 2023
Investigating the Complex Relationship Between Environmental and Financial Performances
  • Author: Nursalim, A.
  • Journal: Procedia Environmental Science, Engineering and Management
  • Year: 2022
Batik AR ver.1.0: Augmented Reality Application as Gamification of Batik Design Using Waterfall Method
  • Authors: Sobandi, B., Wibawa, S.C., Triyanto, T., Nursalim, A., Santosa, H.
  • Journal: Journal of Physics: Conference Series
  • Year: 2021

Hanna Wilczura-Wachnik | Data Analysis | Best Researcher Award

Dr. Hanna Wilczura-Wachnik | Data Analysis | Best Researcher Award

Dr. Hanna Wilczura-Wachnik at University of Warsaw, Poland

 Profiles

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👩‍🔬 Academic Background

Hanna Wilczura-Wachnik is an adiunkt at the University of Warsaw, specializing in the study of colloids, microemulsions, and the interactions of biologically active molecules with membranes. Her research combines both theoretical and experimental approaches to advance our understanding of these complex systems.

🎓 Education

Hanna earned her MSc in 1977 from the University of Warsaw. She pursued her PhD at the same institution, which she completed in 1992. Her doctoral thesis, supervised by Prof. Teresa Kasprzycka-Guttman, was titled “The Enthalpy of Mixing in Associated Binary Systems of Pyridine and its Methyl Derivatives + n-Alkanes.”

💼 Professional Experience

Her postdoctoral research took place at the University of Tennessee under the guidance of Prof. Alexander Van Hook, focusing on liquid-liquid equilibrium (LLE) in polymer solutions. Hanna has also participated in short-term internships at various institutions, including the Technical University of Denmark, Syleyman Demirel University in Turkey, and Syddansk Universitet in Denmark. Since 2010, her research has centered on colloids, microemulsions, micellar phases, and the behavior of biologically active molecules in and through membranes.

🔬 Research Interests

Hanna’s research interests include the study of colloids, microemulsions, and micellar phases. She is particularly focused on the interfacial migration of biologically active molecules, such as antioxidants, and their interactions with models of natural membranes.

📜 Patents

Hanna is a co-inventor of Polish Patent No. 279254, issued in 1989, for a method of citric acid evolution from aqueous solutions. This patent was developed in collaboration with T. Kasprzycka-Guttman, B. Semeniuk, and M. Myśliński.

 

📖 Publication Top Noted

Interactions between quercetin and surfactants/solvents
    • Authors: Güzeloğlu, A., Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: Results in Chemistry
    • Year: 2024
α-Tocopherol/AOT/alkane/water system: Calorimetric studies
    • Authors: Karpiuk, I., Wilczura-Wachnik, H., Myśliński, A.
    • Journal: Journal of Thermal Analysis and Calorimetry
    • Year: 2018
Size and diffusion phenomena of AOT/alcohol/water system in the presence of morin by dynamic light scattering
    • Authors: Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: International Journal of Pharmaceutics
    • Year: 2015
Interaction between morin and AOT reversed micelles – Studies with UV-vis at 25°C
    • Authors: Bhattarai, A., Wilczura-Wachnik, H.
    • Journal: International Journal of Pharmaceutics
    • Year: 2014
Effects of surfactants on the characteristics and biosensing properties of polyaniline
    • Authors: Kuczynska, A., Uygun, A., Kaim, A., Yavuz, A.G., Aldissi, M.
    • Journal: Polymer International
    • Year: 2010
UV-vis investigation on the hydrocarbon length effect on the α-tocopherol solubility in an AOT/n-alkane/water system
    • Authors: Wilczura-Wachnik, H., Gregorczyk, I., Myslinski, A.
    • Journal: Journal of Solution Chemistry
    • Year: 2010

Konstantinos Kolomvatsos | Pervasive Data Science | Best Researcher Award

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

Dr. Marta Campi | Statistical Methods | Best Researcher Award

Dr. Marta Campi, Statistical Methods, Best Researcher Award 

Doctareat at Institut Pasteur, France

Professional Profile:

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Summary:

Dr. Marta Campi is a Postdoctoral Researcher at Institut Pasteur with expertise in Statistical Signal Processing and Machine Learning. She specializes in developing computational optimal speech enhancement techniques for real-time application in hearing aids, particularly tailored for individuals with auditory neuropathies. Her research integrates personalized cues into model calibration for improved efficacy. With a background in financial computing and econometrics, Marta brings a diverse skill set to her research endeavors.

Education:

  • PhD in Statistical Science and Signal Processing, University College London, UK
  • MPhil in Statistics, University College London, UK
  • MRes in Financial Computing, University College London, UK
  • MSc in Financial Econometrics, University of Essex, UK
  • BSc in Mathematical Statistics and Data Management, Universita degli studi di Genova, Italy

Professional Experience:

Dr. Marta Campi has amassed a diverse and extensive professional background, spanning various research, academic, and industry roles across multiple countries. As a Postdoctoral Researcher at Institut Pasteur in Paris, France, she focuses on advancing signal processing techniques for auditory applications, particularly in the development of computational optimal speech enhancement methods for hearing aids. Marta’s expertise extends to her role as a Research Engineer at Telecom Paris, where she contributed to implementing machine learning geolocation methods for wireless device networks.

Her dedication to education is evident through her tenure as a Teaching Assistant at University College London, where she tutored courses in probability, statistics, and programming methods. Marta has also lent her expertise as a Research Assistant at Heriot-Watt University in Edinburgh, Scotland, and City University of London, enriching projects in green finance and copula functions within insurance applications, respectively.

She broadened her research horizons through international collaborations, serving as a Visiting Research Fellow at the Institute of Statistical Mathematics in Tokyo, Japan, and a Visiting Research Student at Universite Clermont Auvergne in Clermont-Ferrand, France. Marta’s industry experience includes roles as a Senior Analyst at Fortlake Asset Management in Sydney, Australia, and as a Consultant at InRobin in Edinburgh, UK, where she contributed to predictive modeling and asset maintenance monitoring.

Her earlier experience as a Junior Analyst at COSTA CROCIERE S.P.A in Genova, Italy, further enriched her analytical skills and understanding of demand forecasting and price optimization. Throughout her career, Marta has demonstrated a commitment to interdisciplinary research and innovation, bridging the gap between academia and industry to address complex challenges in statistical signal processing and machine learning.

Research Interest :

Dr. Campi’s research interests span statistical signal processing, machine learning, and auditory neuroscience, with a focus on developing innovative solutions for speech enhancement in hearing aids. She is particularly interested in leveraging personalized cues and novel signal processing techniques to address auditory neuropathies and improve the quality of life for individuals with hearing impairments. Marta’s interdisciplinary approach combines her expertise in statistical science with real-world applications, aiming to bridge the gap between cutting-edge research and clinical practice in audiology.

Publication Top Noted: