Dec 2021 - Present
Brisbane, Australia
Caterpillar is a global leader in the supply of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Key differentiator is the inclusion of managing software as a whole package (Minestar suite)
Sep 2023 - Present
Dec 2021 - Sep 2023
July 2020 - October 2021
Peregian Beach, Australia
exci is a company that provides AI-powered early wildfire detection and notification system.
July 2020 - October 2021
August 2016 - January 2021
Brisbane, Australia
One of the leading Universities in Australia (member of the Group of Eight), I worked at the School of Mathematics and Physics, closely collaborating with the School of Chemistry and Molecular Biosciences and Centre for Organic Photonics and Electronics.
February 2020 - January 2021
August 2016 - February 2020
May 2016 - June 2016
Poznan, Poland
mTab is a company that provides a cloud-based platform for managing and automating business processes, including analytical and reporting tools.
May 2016 - June 2016
February 2015 - August 2015
Lausanne, Switzerland
EPFL is a leading Swiss university that focuses on science and technology.
February 2015 - August 2015
August 2011 - June 2012
Trondheim, Norway
NTNU is a leading Norwegian university that focuses on science and technology.
August 2011 - June 2012
September 2010 - October 2010
Warsaw, Poland
The Polish Academy of Sciences is a Polish national research institution that focuses on all the branches of science.
September 2010 - October 2010
![]() 2013-2016 Ph.D in PhysicsThesis:Research:My PhD was focused on the study of new generation of hybrid organic-inorganic solar cells - Dye-sensitized solar cells (DSSCs).
It included both experimental (spectroscopy, device fabrication and evaluation) and theoretical (modeling of the charge transfer processes in the time ranges from femtoseconds to milliseconds) work.
I also worked on the modelling of tandem (multi-junction) solar cells. Supervisor: | ||
![]() 2011-2012 M.Sc. in Applied Physics (Nanotechnology)GPA: 5.2 out of 5.5Extracurricular Activities:
Thesis:MnO4 covered graphene based nanocomposite as electrode material for supercapacitors Supervisor: | ||
![]() 2007-2011 B.Sc. in Applied Physics (Nanotechnology)GPA: 5.05 out of 5.5Extracurricular Activities:
Thesis:Graphene films grown on the thin copper foils with the help of the chemical vapour deposition Supervisor: |
A demo repository showing the concept of Named Entity Recognition with the use of Transformers library and Flask front end.
Research focusing on triplet quenching mechanisms in organic semiconductors.
This White Paper, resulting from a Brisbane roundtable in November 2022, brings together insights from 64 participants including industry representatives and academics to address challenges and opportunities in digital service transformation across various sectors including financial services, health services, construction, consulting, tourism, and government.
This research demonstrates how triplet excitons can positively contribute to electrically-driven organic lasing through triplet-triplet upconversion (TTU), while emphasizing the importance of minimizing singlet-triplet annihilation (STA) for optimal performance.
This study investigates polaron-induced exciton quenching in TADF-based OLEDs, examining singlet-polaron annihilation (SPA) and triplet-polaron annihilation (TPA) under steady-state conditions and their contributions to efficiency roll-off, using experimentally obtained parameters.
This research presents the design and synthesis of a solid-state organic triplet quencher and its integration with a solution processable bis-stilbene-based laser dye, demonstrating complete suppression of singlet-triplet annihilation and improved photostability under continuous wave excitation.
This work demonstrates the positive contribution of triplet excitons for electrically driven organic lasers, studying a model fluorescence material and showing how triplet-triplet exciton upconversion processes can significantly reduce threshold current densities required for lasing emission, while emphasizing the importance of minimizing singlet-triplet exciton annihilation.
This work demonstrates highly efficient solution processed LEFETs using ACRXTN showing high external quantum efficiencies of ≈1% and on/off ratios at low operating voltages with negligible EQE roll-off. The same emitter achieved high peak EQEs (≈16%) and brightness in solution-processed OLEDs with a simple architecture.
This research provides a comprehensive analysis of charge injection, transport, device on/off dynamics, and exciton processes in Super Yellow OLEDs under high voltage nanosecond pulses, demonstrating complete exciton and charge carrier dynamics from sub-ns to microsecond timescales.
This work develops a comprehensive exciton quenching model for TADF systems, studying singlet-singlet, singlet-triplet, and triplet-triplet annihilation rate constants using ACRXTN as a model compound under intensity-dependent optical and electrical pulse excitation.
This comprehensive review explores the fundamentals, working principles, materials, device physics, and architectures of light-emitting transistors (LETs), discussing their development from an optoelectronic curiosity to potential competitors in display technology and injection lasers.
This work presents a new family of solution-processable organic semiconductor laser dyes based on bay-annulated indigo derivatives, achieving excellent photoluminescence quantum yields and low ASE thresholds with deep-red emission when blended in a mixed host system.
This patent describes an organic light-emitting field-effect transistor containing a delayed fluorescent material, where excitons can be efficiently used for light emission to remarkably enhance the emission efficiency of the transistor while achieving high mobility along with high on/off ratios.
This study investigates BTBT derivatives with varying alkyl chain configurations, examining their impact on hole mobilities and charge transport properties, while addressing the debate on mobility overestimation in organic field-effect transistors.
This work reports on high-speed OLEDs and high-performance hybrid light-emitting transistors using a new solution processable luminescent material (PTNT). The OLEDs achieve peak brightness of 8×105 cd m−2 and 40 MHz modulation frequency under 10 ns pulse operation, significantly higher than commercial LEDs used for visible light communication.
This work reports a new organic semiconducting laser dye (HBT-Cz) with remarkably low ASE threshold in both solution and film states, achieving the lowest reported waveguide loss coefficient for solution-processed organic semiconductors, while also demonstrating efficient electroluminescence in OLEDs.
This work presents an alternative strategy for triplet usage in LEFETs using thermally activated delayed fluorescence (TADF). The study demonstrates devices employing a TADF capable material (4CzIPN) in both n-type and p-type configurations, showing excellent electrical characteristics.
This work introduces oxygen plasma treatment as a simple method to modify the surface energy and work function of hydrophobic polymer interlayers for use as p-contacts in perovskite solar cells, enabling improved processing and device performance.
This study investigates key preparation factors affecting ADEKA-1 solar cells, including dye synthesis routes, co-adsorbent addition, and electrode passivation, revealing the crucial role of electron recombination from titania to the dye in cell performance.
This study investigates the synthesis of mesoporous titania materials using various alcohols as solvents in a template-free alcothermal method, characterizing their properties and performance in dye-sensitized solar cells with efficiency values ranging from 0.54% to 4.6%.
This study investigates ultrafast and fast charge separation processes in complete cells based on various ZnO-based photoanode nanostructures and standard TiO2 nanoparticle layers sensitized with the indoline dye D358, examining different ZnO morphologies and synthesis methods.
This comprehensive study examines charge-separation processes in carbazole dye-sensitized solar cells, revealing the importance of fast electron recombination from semiconductor nanoparticles to oxidized dye, and investigating how additives affect charge-transfer dynamics in different electrolytes.
This study investigates the photobehavior of indoline dye D149 on different metal oxide nanoparticles in functioning solar cells, identifying locally excited and charge transfer excited states in electron injection and dye deactivation mechanisms, while examining the effects of coadsorbent concentration and aging on cell performance.
This study compares TiO2 and ZnO-based dye-sensitized solar cells using time-resolved laser spectroscopy, revealing that the superior performance of TiO2 cells is primarily due to more efficient electron injection in the first 100 ps rather than differences in charge collection or dye regeneration processes.
This numerical study investigates optimal bandgaps of light absorbers in tandem solar cell configurations, focusing on dye-sensitized solar cells (DSSCs) and perovskite solar cells (PSCs), examining efficiency limits and potential improvements as functions of loss-in-potential, incident photon to current efficiency, and fill factor.
This course was a comprehensive, hands-on introduction to building multi-model LLM agentic systems. It covered prompt engineering and injection, multi-modal processing, graph and vector databases, different versions of RAG - all using both cloud based and local solutions.
This is probably the best Python specific course when it comes to good software design practices. It covers not only modern software patterns in Pythonic flavour, but also provides solid guidelines on how to write robust, understandable and decoupled code. in general (both in Object Oriented and Functional paradigms).
This course is a great blend of theory and practice. It goes deep into understanding (and implementing from scratch) the most important concepts of deep learning. On the other hand it offers a high level abstractions enabling easy prototyping and deployment of complex models.
This was my first general ML course. It provided a broad introduction to machine learning in different domains - from supervised learning to unsupervised learning- and using different data types (tabular data, images, NLP tasks).