Dr. Ahsan Jalal

ahsan.jalal@giki.edu.pk
Ext. 6, 2173
Office CS-09, DChE, Third Floor, NAB

Dr. Ahsan Jalal

Assistant Professor

Qualifications:

Ph.D (Koç University, Türkiye), Post-Doctorate (Bilkent University, Türkiye)

Research Interests:

AI-driven catalyst and material discovery, catalyst design for sustainable chemicals, Power-to-X technologies, bio-based chemical synthesis, sustainable process design, sustainable energy systems (nuclear batteries, bioenergy), and policy research in energy and environment.

List of Publications:

  1. Competitive adsorption of antibiotics on waste-derived hybrid biochar: Performance, mechanism, and life cycle assessment, Journal of Environmental Chemical Engineering 14 (2026) 120531.
  2. Low-pressure deuterium storage on palladium-coated titanium nanofilms: a versatile model system for tritium-based betavoltaic battery applications, ACS Applied Materials & Interfaces 15 (2023) 40459.
  3. Ionic liquid sheath stabilizes atomically dispersed reduced graphene aerogel-supported iridium complexes during ethylene hydrogenation catalysis, Chemcatchem 14 (2022) e202200553.
  4. Thermal stability limits of imidazolium, piperidinium, pyridinium, and pyrrolidinium ionic liquids immobilized on metal oxides, Journal of Molecular Liquids 363 (2022) 119804.
  5. Unraveling molecular fingerprints of catalytic sulfur poisoning at the nanometer scale with near-field infrared spectroscopy, Journal of the American Chemical Society 144 (2022) 8848.
  6. A cost effective, highly active and stable Ru catalyst for syngas production via glycerol dry reforming: unraveling the interplay between support material and the active sites, Applied Catalysis A: General 636 (2022)118577.
  7. CuBTC as a versatile precursor for the synthesis of carbon-embedded copper catalysts with tunable catalytic properties for partial hydrogenation of 1,3-butadiene, Industrial & Engineering Chemistry Research 61 (2022) 2068.
  8. An interplay between copper nanoparticle size and oxygen vacancy on support controls the partial hydrogenation selectivity and stability, ACS Catalysis 11 (2021) 8116.
  9. Predicting water solubility in ionic liquids using machine learning towards design of hydro-philic/phobic ionic liquids, Journal of Molecular Liquids 332 (2021) 1158483.
  10. Selection rules for estimating the solubility of C4-hydrocarbons in imidazolium ionic liquids determined by machine-learning tools, Journal of Molecular Liquids 284 (2019) 511.
  11. An ordinary nickel catalyst becomes completely selective for partial hydrogenation of 1,3-butadiene when coated with tributyl(methyl) phosphonium methyl sulfate, Applied Catalysis A: General 562 (2018) 321.
  12. An exceptional selectivity for partial hydrogenation on a supported nickel catalyst coated with [BMIM][BF4], Journal of Catalysis 350 (2017) 86.