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Dr. Amin Mallek

Wissenschaftlicher Mitarbeiter der AG Optimierung und Optimale Steuerung

Raum: NEOS 3240
E-Mail: amallek@uni-bremen.de
Telefon: (0421) 218-63627
ORCID iD:  0000-0003-4040-2680

Projekte

  1. hyBit: Hydrogen for Bremen's industrial transformation (01.09.2022 - 28.02.2026)
  2. DiSCO2-Bremen: Datenbasierte und intelligente Simulation des Verkehrs zur CO2-Reduktion in Bremen (01.07.2020 - 31.12.2022)

Veranstaltungen (Auswahl)vollständige Liste

  1. Combinatorial Optimization: Introduction and Algorithms (Wintersemester 2022/2023)

Abschlussarbeiten (Auswahl)vollständige Liste

  1. A data-driven approach to predict the load profile at an electric vehicle charging station (Hrushikesh Mantri)
  2. Optimization of Day-Ahead Battery Scheduling for Mitigating Line Overload in the German Power Grid (Galip Argun)
  3. Automated generation of low voltage networks (Fazle Rabbi Himel)
  4. Modeling and Optimization of Home Energy Management System components (Özüm Ceylan)

Publikationen (Auswahl)vollständige Liste

  1. A. Mallek, D. Klosa, C. Büskens.
    Enhanced K-Nearest Neighbor Model For Multi-steps Traffic Flow Forecast in Urban Roads.
    8th IEEE International Smart Cities Conference, 26.09-29.09.2022.
    Paphos, Cyprus, IEEE Xplore, S. 1-5, 2022.

    DOI: 10.1109/ISC255366.2022.9921897

  2. A. Mallek, M. Boudhar.
    Scheduling on uniform machines with a conflict graph: complexity and resolution.
    International Transactions in Operational Research, , Wiley, 2022.

    DOI: 10.1111/itor.13170

  3. A. Mallek, D. Klosa, C. Büskens.
    Impact of Data Loss on Multi-Step Forecast of Traffic Flow in Urban Roads Using K-Nearest Neighbors.
    Sustainability, 14(18), 11232, 2022.

    DOI: https://doi.org/10.3390/su141811232

  4. D. Klosa, A. Mallek, C. Büskens.
    Short-Term Traffic Flow Forecast Using Regression Analysis and Graph Convolutional Neural Networks.
    2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 20.12-22.12.2021.
    Haikou, Hainan, China, IEEE Xplore, S. 1413-1418, 2021.

    DOI: 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00212

  5. A. Mallek, M. Boudhar.
    A Branch-and-Bound Algorithm For The Problem of Scheduling With a Conflict Graph.
    2020 International Conference on Decision Aid Sciences and Application (DASA), 08.11-09-11.2020.
    Sakheer, Bahrain, IEEE Xplore, S. 778-782, 2020.

    DOI: 10.1109/DASA51403.2020.9317026