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DR. MUHAMMAD AKMAL BIN REMLI

FACULTY OF DATA SCIENCE AND COMPUTING
akmal@umk.edu.my
09-7717174
PENSYARAH UNIVERSITI (TETAP)
Scopus Google Scholar

WOS CV
GROUP OF EXPERTISE
  1. AN ENHANCED SEGMENT PARTICLE SWARM OPTIMIZATION ALGORITHM FOR KINETIC PARAMETERS ESTIMATION OF THE MAIN METABOLIC MODEL OF ESCHERICHIA COLI | CO | 2020-08
  2. THE DEVELOPMENT OF PARAMETER ESTIMATION METHOD FOR CHINESE HAMSTER OVARY MODEL USING BLACK WIDOW OPTIMIZATION ALGORITHM | CO | 2020-11
  3. IMPROVING INTELLIGENT PERSONALITY PREDICTION USING MYERS-BRIGGS TYPE INDICATOR AND RANDOM FOREST CLASSIFIER | CO | 2020-11
  4. A REVIEW ON RECENT PROGRESS IN MACHINE LEARNING AND DEEP LEARNING METHODS FOR CANCER CLASSIFICATION ON GENE EXPRESSION DATA | CO | 2021-08
  5. ENHANCED DIRECTED RANDOM WALK FOR THE IDENTIFICATION OF BREAST CANCER PROGNOSTIC MARKERS FROM MULTICLASS EXPRESSION DATA | CO | 2021-09
  6. 5G NOMA USER GROUPING USING DISCRETE PARTICLE SWARM OPTIMIZATION APPROACH | CO | 2021-12
  7. NON-INTRUSIVE LOAD MONITORING FOR APPLIANCE STATUS DETERMINATION USING FEED-FORWARD NEURAL NETWORK | CO | 2022
  8. PARAMETER ESTIMATION IN COMPUTATIONAL SYSTEMS BIOLOGY MODELS: A COMPARATIVE STUDY OF INITIALIZATION METHODS IN GLOBAL OPTIMIZATION | CORRESPNDG | 2022-08
  9. RECENT ADVANCEMENTS AND CHALLENGES OF AIOT APPLICATION IN SMART AGRICULTURE: A REVIEW | CO | 2023
  10. ARTIFICIAL BEE COLONY ALGORITHM IN ESTIMATING KINETIC PARAMETERS FOR YEAST FERMENTATION PATHWAY | CO | 2023
  11. A HYBRID OF ANT COLONY OPTIMIZATION, GENETIC ALGORITHM AND FLUX BALANCE ANALYSIS FOR OPTIMIZATION OF SUCCINIC ACID PRODUCTION IN ESCHERICHIA COLI | CO | 2023
  12. DEEP LEARNING WITH PROCESSING ALGORITHMS FOR FORECASTING TOURIST ARRIVALS | CO | 2023
  13. ENSEMBLE LEARNING APPROACH TO ENHANCING BINARY CLASSIFICATION IN INTRUSION DETECTION SYSTEM FOR INTERNET OF THINGS | CO | 2024-06-20
  14. PERFORMANCE EVALUATION OF MULTICLASS CLASSIFICATION MODELS FOR TON-IOT NETWORK DEVICE DATASETS | CO | 2024-07
  15. AI-DRIVEN Q-LEARNING FOR PERSONALIZED ACNE GENETICS: INNOVATIVE APPROACHES AND POTENTIAL GENETIC MARKERS | CO | 2024-06
  16. ARTIFICIAL INTELLIGENCE AND DATABASE FOR NGS-BASED DIAGNOSIS IN RARE DISEASE | CO | 2024-01
  17. IMPROVING IMBALANCED CLASS INTRUSION DETECTION IN IOT WITH ENSEMBLE LEARNING AND ADASYN-MLP APPROACH | CO | 2024-11
  18. POLARBYTES: ADVANCING POLAR RESEARCH WITH A CENTRALIZED OPEN-SOURCE DATA SHARING PLATFORM | CO | 2025-02
  19. HOW GENERATIVE ARTIFICIAL INTELLIGENCE CAN TRANSFORM DRUG DISCOVERY? | CORRESPNDG | 2025-10
  20. IKCR-DRC: PREDICTION OF LYSINE CROTONYLATION SITES IN PROTEINS BASED ON A NOVEL ATTENTION MODULE AND DENSENET | CORRESPNDG | 2025
  21. COMPARATIVE INVESTIGATION OF BAGGING ENHANCED MACHINE LEARNING FOR EARLY DETECTION OF HCV INFECTIONS USING CLASS IMBALANCE TECHNIQUE WITH FEATURE SELECTION | CO | 2025-06
  22. A COMPARISON OF MACHINE LEARNING TECHNIQUES FOR SENTIMENT ANALYSIS | CO | 2021-04-05
  23. EXPLORING TVET HIGHER EDUCATION TOWARDS LEARNING ANALYTICS IN MALAYSIA | CO | 2023
  24. DEEP LEARNING-BASED CRYPTANALYSIS IN RECOVERING THE SECRET KEY AND PLAINTEXT ON LIGHTWEIGHT CRYPTOGRAPHY | CORRESPNDG | 2025-05
  25. ADVANCED TOURIST ARRIVAL FORECASTING: A SYNERGISTIC APPROACH USING LSTM, HILBERT-HUANG TRANSFORM, AND RANDOM FOREST | CORRESPNDG | 2025-04-01
  26. AN ENHANCED SEGMENT PARTICLE SWARM OPTIMIZATION ALGORITHM FOR KINETIC PARAMETERS ESTIMATION OF THE MAIN METABOLIC MODEL OF ESCHERICHIA COLI | CO | 2020-08
  27. ENHANCED DIRECTED RANDOM WALK FOR THE IDENTIFICATION OF BREAST CANCER PROGNOSTIC MARKERS FROM MULTICLASS EXPRESSION DATA | CO | 2021-09
  28. RECENT ADVANCEMENTS AND CHALLENGES OF AIOT APPLICATION IN SMART AGRICULTURE: A REVIEW | CO | 2023
  29. AI-DRIVEN Q-LEARNING FOR PERSONALIZED ACNE GENETICS: INNOVATIVE APPROACHES AND POTENTIAL GENETIC MARKERS | CO | 2024-06
  30. ARTIFICIAL INTELLIGENCE AND DATABASE FOR NGS-BASED DIAGNOSIS IN RARE DISEASE | CO | 2024-01
  31. A REVIEW ON RECENT PROGRESS IN MACHINE LEARNING AND DEEP LEARNING METHODS FOR CANCER CLASSIFICATION ON GENE EXPRESSION DATA | CO | 2021-08
  32. ARTIFICIAL BEE COLONY ALGORITHM IN ESTIMATING KINETIC PARAMETERS FOR YEAST FERMENTATION PATHWAY | CO | 2023
  33. A HYBRID OF ANT COLONY OPTIMIZATION, GENETIC ALGORITHM AND FLUX BALANCE ANALYSIS FOR OPTIMIZATION OF SUCCINIC ACID PRODUCTION IN ESCHERICHIA COLI | CO | 2023
  34. NON-INTRUSIVE LOAD MONITORING FOR APPLIANCE STATUS DETERMINATION USING FEED-FORWARD NEURAL NETWORK | CO | 2022
  35. PARAMETER ESTIMATION IN COMPUTATIONAL SYSTEMS BIOLOGY MODELS: A COMPARATIVE STUDY OF INITIALIZATION METHODS IN GLOBAL OPTIMIZATION | MAIN | 2022-08
  36. DEEP LEARNING WITH PROCESSING ALGORITHMS FOR FORECASTING TOURIST ARRIVALS | CO | 2023
  1. A NEW FORMULATION OF ANDROID MALWARE INTRUSION DETECTION SYSTEM MODEL TOWARDS CYBER SECURITY | MEMBER | FRGS-RACER | 2020
  2. AN ENHANCED FEATURE SELECTION METHOD FOR MULTI-CLASS GENE EXPRESSION DATA USING RELAXED LASSO AND GENETIC ALGORITHM | HEAD | UMK-FUND | 2020
  3. AN IMPROVED PENALIZED MACHINE LEARNING ALGORITHM WITH TOPOLOGY-BASED FEATURE SELECTION FOR BIOMARKERS DISCOVERY | MEMBER | KPT | 2020
  4. AN ENHANCED COOPERATIVE PARALLEL METAHEURISTIC METHOD FOR PARAMETER ESTIMATION IN LARGE-SCALE BIOLOGICAL MODELS | MEMBER | FRGS-RACER | 2020
  5. AN ENHANCED DEEP LEARNING ALGORITHM BASED ON STACKED DENOISING AUTOENCODER TO IDENTIFY THE INFORMATIVE FEATURES IN MULTI-OMICS DATA | MEMBER | FRGS-RACER | 2020
  6. AN ENHANCED FEATURE SELECTION METHOD FOR MULTI-CLASS GENE EXPRESSION DATA USING RELAXED LASSO AND GENETIC ALGORITHM | HEAD | UMK-FUND | 2020
  7. AN ENHANCEMENT OF PARTICLE SWARM OPTIMIZATION ALGORITHM FOR PARAMETER ESTIMATION IN COMPUTATIONAL SYSTEMS BIOLOGY MODELS | MEMBER | FRGS-RACER | 2020
  8. COVID-FACE: PROTOTYPE OF FACIAL RECOGNITION TRACKING FOR COVID-19 | MEMBER | UMK-FUND | 2020
  9. COMPUTATIONAL MODELLING OF METAGENOMICS IN POLAR MICROBIOTA FOR BIOMARKERS DISCOVERY THROUGH GENERATIVE ARTIFICIAL INTELLIGENCE | HEAD | GRANT(I/A) | 2023
  10. COVID-19 IMPACT ANALYSIS: IDENTIFYING PRINCIPAL FACTORS WITH ENSEMBLE MACHINE LEARNING METHODS | MEMBER | UMK-FUND | 2020
  11. DEEP GENERATIVE ADVERSARIAL ALGORITHM WITH VARIATIONAL AUTOENCODERS FOR REALISTIC CONSTRUCTION OF NEW SYNTHETIC CELLS IN GENOMICS DATA | HEAD | GERAN ANTARABANGSA | 2023
  12. IMPROVE THE CHATBOTS USING DEEP LEARNING TECHNIQUES | MEMBER | UMK-FUND | 2020
  13. IMPROVED NON-DOMINATED SORTING DIFFERENTIAL SEARCH ALGORITHM AND FLUX BALANCE ANALYSIS FOR OPTIMIZING METABOLITES PRODUCTION AND GROWTH RATE OF MUTANTS (IMPROVED NDS-DSAFBA) | MEMBER | UMK-FUND | 2020
  14. PRIVACY-PRESERVING IN PUBLISHING BIG DATA USING AN IMPROVED SLICING-BASED METHOD AND THE HYBRID FUZZY-JAYA OPTIMIZATION ALGORITHM | MEMBER | FRGS | 2022
  15. USER GROUPING MECHANISM USING DISCRETE PARTICLE SWARM OPTIMIZATION FOR 5G NOMA SYSTEMS | MEMBER | UMK-FUND | 2020
  1. CURRENT PRACTICES IN ALL AND COMPUTER VISION FOR INDUSTRY | MEMBER | 2022
  2. PROJEK CURRENT PRACTICES IN AI AND COMPUTER VISION FOR INDUSTRY TELEKOM MALAYSIA BERHAD | MEMBER | 2022
RESEARCH AWARD(S)
  • Product Name: S-IOTP: Integrated Solar-IoT Monitoring and Predictive Maintenance Systems for Irrigation
    Award: GOLD
    Role: Member
    Exhibition Name:CRI 2021 UMK
  • Product Name: S-IOTP: Integrated Solar-IoT Monitoring and Predictive Maintenance Systems for Irrigation
    Award: GOLD
    Role: Member
    Exhibition Name:INTERNATIONAL EXHIBITION & SYMPOSIUM ON PRODUCTIVITY, INNOVATION, KNOWLEDGE, EDUCATION & DESIGN (i-SPiKE 2021)
  • Product Name: High-Precision of Solar Tracking System For Smart Irrigation System using IoT
    Award: SILVER
    Role: Member
    Exhibition Name:eCRI2020
  • Product Name: Low Cost of Temperature-Controlled Apparatus For Pigment Extraction using Cloud Monitoring
    Award: BRONZE
    Role: Member
    Exhibition Name:eCRI2020
EDUCATION(S)
  • (2018) UNIVERSITI TEKNOLGI MALAYSIA
    IJAZAH DOKTOR FALSAFAH SAINS KOMPUTER
  • (2014) UNIVERSITI TEKNOLGI MALAYSIA
    IJAZAH SARJANA SAINS SAINS KOMPUTER
  • (2006) UNIVERSITI TEKNOLGI MALAYSIA
    IJAZAH SARJANA MUDA SAINS KOMPUTER
  • (2000) SEK MEN TEKNIK KUALA KRAI
    SPM
WORKING EXPERIENCE(S)
  • PENSYARAH KANAN | UNIVERSITI TEKNOLOGI MALAYSIA
    03-Sep-2018-08-Mar-2020
COURSES TAUGHT
Subject Code Description
JFT10101 SEMINAR FOR INDUSTRIAL REVOLUTION 4.0
JFT10202 INTRODUCTION TO BIG DATA ANALYTICS
JIE31804 ARTIFICIAL INTELLIGENCE IN PRACTICE I
JIE32803 MACHINE LEARNING
JIE33004 PRACTICES IN ARTIFICIAL INTELLIGENCE II
JIE42903 EVOLUTIONARY COMPUTING
JIE43403 IMAGE PROCESSING AND COMPUTER VISION
JIT10203 FUNDAMENTAL OF PROGRAMMING
JIT21003 OBJECT-ORIENTED PROGRAMMING
SUPERVISION
  • Artificial Intelligence in Data Learning for the Stock Market | MAIN SUPERVISOR FOR A MASTER'S STUDENT
  • COMPUTATIONAL MODELLING OF METAGENOMICS IN POLAR MICROBIOTA FOR BIOMARKERS DISCOVERY THROUGH GENERATIVE ARTIFICIAL INTELLIGENT | MAIN SUPERVISOR FOR A PHD'S STUDENT
  • Coyote Optimization Algorithm With Mixed-Integer Linear Programming For Multi-Destination Travel Planning In Indonesia | MAIN SUPERVISOR FOR A MASTER'S STUDENT
  • DEEP GENERATIVE ADVERSARIAL ALGORITHM WITH VARIATIONAL AUTOENCODERS FOR REALISTIC CONSTRUCTION OF NEW SYNTHETIC CELLS IN GENOMICS DATA | MAIN SUPERVISOR FOR A PHD'S STUDENT
  • DEEP LEARNING MODEL BASED ON GENERATIVE ADVERSARIAL NETWORK (GAN) TO PREDICT DRUG RESISTANCE IN HIV-1 SEQUENCE DATA | MAIN SUPERVISOR FOR A MASTER'S STUDENT
  • DEEP TRANSFORMERS MODEL WITH ATTENTION RANKING AGGREGATION AND TECHNICAL INDICATORS FEATURES IN STOCK PRICE MOVEMENT PREDICTION OF BURSA MALAYSIA | MAIN SUPERVISOR FOR A PHD'S STUDENT
  • DETEKSI DAN PENCEGAHAN PENIPUAN KARTU KREDIT ONLINE MENGGUNAKAN ANALISIS BIG DATA DAN MACHINE LEARNING | MAIN SUPERVISOR FOR A PHD'S STUDENT
  • HYBRID MODEL BASED ON DEEP LEARNING FOR TOURIST ARRIVAL FORECASTING | MAIN SUPERVISOR FOR A PHD'S STUDENT
  • Klasifikasi Data Citra Cuaca BMKG pada Wilayah Jakarta sebagai Rekomendasi Wisata dengan Algoritma Support Vector Machines (SVM) | MAIN SUPERVISOR FOR A PHD'S STUDENT
  • NEW METAHEURISTIC OPTIMAZATION TO FORECAST FOR THE RISE OF FALL OF COMPANY'S STOCK PRICE BY USING MACHINE LEARNING APPROACH | MAIN SUPERVISOR FOR A PHD'S STUDENT
  • PROACTIVE INVESTIGATION FRAMEWORK ON CLOUD COMPUTING ENVIRONMENT | MAIN SUPERVISOR FOR A PHD'S STUDENT
  • RESEARCH ON ARTIFICIAL INTELLIGENCE PROMOTING TEACHING REFORM | MAIN SUPERVISOR FOR A PHD'S STUDENT
  • Using Machine Learning Algorithms To Study Protein Post-translational Modification Site Prediction | MAIN SUPERVISOR FOR A PHD'S STUDENT