Research profile
CO₂ valorization and catalytic process engineering
Discovery and development of materials for electrochemical reduction and hydrogenation, supported by DFT, machine learning and operando analysis.
Research areasResearcher profile
I am Abdoul Salam Issiaka Ibrahim, an interdisciplinary Ph.D. researcher working across heterogeneous and electrochemical catalysis, microwave reaction engineering, DFT and artificial intelligence.
Explore the researchCatalytic engineering platform
Structure → activity → selectivity → stability
Research profile
Discovery and development of materials for electrochemical reduction and hydrogenation, supported by DFT, machine learning and operando analysis.
Research areasResearch record
Four first-author papers spanning electrocatalysis, heterogeneous catalysis, biofuels and ML-assisted reaction optimization.
Full publication list06Peer-reviewed
articles
04First-author
papers
04Funded research
projects
3.89Ph.D. GPA
out of 4.00
Research
My work connects catalyst preparation, reaction engineering, product analysis, electrochemical evaluation, computational chemistry and interpretable learning models.
Magnetic oxides, sulfides and phosphides, rGO composites, solid acids and ionic liquids for microwave-assisted esterification and transesterification.
Hydrothermal · Solvothermal · Microwave · Kinetics · ThermodynamicsDevelopment of catalytic materials for hydrogen and oxygen evolution and current work on electrochemical CO₂ reduction and hydrogenation.
CV · LSV · EIS · Tafel · Chronoamperometry · Operando analysisElectronic-structure analysis and uncertainty-conscious machine learning for catalyst descriptors, reaction prediction and process optimization.
Gaussian 16 · XGBoost · CatBoost · TabPFN · ANN/PINN · SHAPPublications
Complete publication list reported in the curriculum vitae, with direct DOI links.
Research pipeline
Under review
Under review
In finalization
In finalization
In finalization
Funded research
2022–2025
Project Researcher
Microwave-assisted waste-cooking-oil biodiesel production using a pyrrolidinium ionic-liquid catalyst; optimization, kinetic and thermodynamic studies.
2022–2026
Ph.D. Researcher / Project Member
Biodiesel production using magnetic nanomaterials.
2023–2025
Ph.D. Researcher
ML-assisted prediction and optimization of levulinic-acid esterification to ethyl levulinate.
2022–2025
Ph.D. Researcher
Microwave-assisted oleic-acid esterification using a pyrrolidinium Brønsted-acidic ionic-liquid catalyst.
Academic trajectory
2021–2026
Thesis: Development of Spinel Oxide-Based Magnetic Heterogeneous Catalysts under Microwave Irradiation for Biofuel Synthesis and Machine-Learning Applications.
Supervisor: Prof. Dr. Özgür Sönmez · Türkiye Government Excellence Scholarship2019–2021
Thesis: Process-Based Quantification and Engineering Assessment of Liquefied Petroleum Gas Losses at the Nigerien Company of Hydrocarbons.
Supervisor: Prof. Dr. Manzola Abdou Salam · Niger Excellence Government Scholarship2014–2017
Thesis: Physicochemical Characterization of Wellhead Crude Oils and Assessment of Their Influence on Separation Performance at the CNPC-NP FPF Station, Agadem Block, Niger.
Supervisor: Prof. Dr. Manzola Abdou Salam2023–2026
Chemistry teaching for grades 9–12, scientific reasoning and student assessment.
2022–2026
Undergraduate laboratory support, experimental setup, safety, data analysis, posters and reports; mentorship of Master’s and Ph.D. researchers.
2021–2022
Safety monitoring, compliance procedures and operational risk assessment in drilling workflows.
2018–2021
Hydrocarbon-process monitoring, LPG management and loss evaluation.
Core methods
Microwave-assisted esterification and transesterification; waste-cooking-oil biodiesel; oleic- and levulinic-acid conversion; kinetics, thermodynamics and catalyst stability.
Electrode preparation; three-electrode cells; HER/OER evaluation; CV, LSV, EIS, Tafel and chronoamperometry; CO₂RR product-analysis readiness.
XRD, SEM/TEM, BET, XPS, UV–Vis, FTIR, NMR, TGA, DSC and magnetic-property datasets; interfacial and structure–activity interpretation.
Gaussian 16 and GaussView; geometry optimization, HOMO–LUMO, ESP and DOS; working knowledge for catalyst descriptors.
TabPFN, gradient boosting, XGBoost, Random Forest, CatBoost, ANN/PINN and linear models; LOOCV, nested CV, bootstrap, SHAP and partial dependence.
Aspen HYSYS; refining and LPG-process fundamentals; laboratory safety and HSE risk awareness.
Recognition
Contact
Mersin, Türkiye · French and Hausa (native) · English C1 · Turkish C1
emoue1993@gmail.com