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:

Scopus Profile 
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Orcid Profile

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: