Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

Mr. Hector Ferrada, Universidad Austral de Chile, Chile

Mr. Hector Ferrada is a researcher at Universidad Austral de Chile, specializing in Computer Science. He completed his Ph.D. at Universidad de Chile, focusing on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D. Mr. Ferrada has professional experience in genome-scale algorithmics from an internship at the University of Helsinki, Finland. His research interests include algorithms design, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications. He currently leads the ANID’s Fondecyt Iniciación 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction, and contributes as a Co-Investigator on GPU technologies for simulations and meshing algorithms for polygons and polyhedrons.

🌐 Professional Profile:

Orcid

🎓 Education:

Ph.D. in Computer Science from Universidad de Chile, Santiago, Chile (2010-2016). Thesis on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D.

👨‍💼 Professional Experience:

Internship at the Department of Computer Science, University of Helsinki, Finland (2013), focusing on genome-scale algorithmics under Veli Mäkinen, Ph.D.

🔍 Research Interests:

Specializes in design and analysis of algorithms, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications.

🔬 Research Projects:

Currently serves as Principal Investigator for ANID’s Fondecyt Iniciación 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction. Co-Investigator on projects combining GPU technologies for simulations and developing meshing algorithms for polygons and polyhedrons.

Publication Top Notes:

  • Title: Accelerating range minimum queries with ray tracing cores
    • Journal: Future Generation Computer Systems
    • Year: 2024
  • Title: A succinct and approximate greedy algorithm for the Minimum Set Cover Problem
    • Journal: Journal of Computational Science
    • Year: 2024
  • Title: An evaluation of GPU filters for accelerating the 2D convex hull
    • Journal: Journal of Parallel and Distributed Computing
    • Year: 2024
  • Title: A sorting algorithm based on ordered block insertions
    • Journal: Journal of Computational Science
    • Year: 2022

 

 

 

Prof. Raimo K. R. Salokangas | Algorithmic Award | Best Researcher Award

Prof. Raimo K. R. Salokangas | Algorithmic Award | Best Researcher Award

Prof. Raimo K. R. Salokangas , University of Turku, Department of Psychiatry , Finland

Dr. Salokangas is a highly esteemed figure in the field of psychiatry, renowned for his academic achievements and extensive career. He obtained his M.D. and Ph.D. degrees from the University of Turku in 1971 and 1977, respectively. His tenure as Professor of Psychiatry at the University of Turku from 1992 to 2012 and as Medical Director/Chief Doctor at Turku University Central Hospital’s Psychiatric Clinic underscores his leadership in the field. Dr. Salokangas’s research focuses on social psychiatry, psychosis prediction, and schizophrenia, for which he has received prestigious awards like the Martti Kaila Prize and the Schizophrenia Research Prize. He has secured substantial research grants and played pivotal roles in scientific societies, including the Finnish Psychiatric Association, demonstrating his dedication to advancing psychiatric research and practice

Professional Profile:

Scopus

🎓 Education and Career

Dr. Salokangas has a distinguished academic background, having earned his M.D. and Ph.D. degrees from the University of Turku in 1971 and 1977, respectively. He has held various significant positions throughout his career, including Professor of Psychiatry at the University of Turku from 1992 to 2012 and Medical Director/Chief Doctor at Turku University Central Hospital’s Psychiatric Clinic during the same period.

🔬 Research and Awards

His research spans social psychiatry, psychosis prediction, and schizophrenia, for which he has received numerous awards and honors, including the Martti Kaila Prize in 1978 and the Schizophrenia Research Prize from Novartis Finland Oy in 1998. Dr. Salokangas has been actively involved in securing substantial research grants, notably from the Academy of Finland and the European Commission, supporting projects like the PRONIA-project.

🌐 Memberships and Contributions

He is a respected member of various scientific societies, including the Finnish Medical Association and the International Early Psychosis Association. Dr. Salokangas has also served in leadership roles, such as President of the Finnish Psychiatric Association from 2000 to 2003, reflecting his commitment to advancing psychiatric research and practice.

Publication Top Notes:

  • Algorithmic fairness in precision psychiatry: analysis of prediction models in individuals at clinical high risk for psychosis
    • Authors: Şahin, D., Kambeitz-Ilankovic, L., Wood, S., Koutsouleris, N., Kambeitz, J.
    • Published Year: 2024
    • Journal: British Journal of Psychiatry
    • Volume/Issue/Pages: 224(2), pp. 55–65
    • Citations: 1
  • Transdiagnostic subgroups of cognitive impairment in early affective and psychotic illness
    • Authors: Wenzel, J., Badde, L., Haas, S.S., Korda, A., Rohner, H.
    • Published Year: 2024
    • Journal: Neuropsychopharmacology
    • Volume/Issue/Pages: 49(3), pp. 573–583
    • Citations: 1
  • A multivariate cognitive approach to predict social functioning in recent onset psychosis in response to computerized cognitive training
    • Authors: Walter, N., Wenzel, J., Haas, S.S., Kambeitz, J., Kambeitz-Ilankovic, L.
    • Published Year: 2024
    • Journal: Progress in Neuro-Psychopharmacology and Biological Psychiatry
    • Volume/Issue/Pages: 128, 110864
    • Citations: 1
  • Factors contributing to readmission in patients with psychotic disorders, with a special reference to first follow-up visit in outpatient care
    • Authors: Suokas, K., Lindgren, M., Gissler, M., Holm, M., Suvisaari, J.
    • Published Year: 2024
  • Structural and Functional Brain Patterns Predict Formal Thought Disorder’s Severity and Its Persistence in Recent-Onset Psychosis: Results From the PRONIA Study
    • Authors: Buciuman, M.-O., Oeztuerk, O.F., Popovic, D., Liddle, P., Koutsouleris, N.
    • Published Year: 2023