Personal profile
Professional Information
Tania is currently working as Assistant Lecturer in the School of Informatics and Engineering, TU Dublin. It is a multidimensional role that not only involves quality teaching but also involves research, industry collaborations and effective student engagement.
Before joining TU Dublin, she worked as an SFI industry research fellow in UCD School of Computer Science on secondment in the industry (Fidelity ) on her proposal “High-Performance Big Data Risk Analytics” that she won under the SFI Industry fellowship program as “Principal Investigator”.
She has nearly six years of continuous Irish Public Sector experience along with over 5 years of international experience all with a good mix of teaching, research and industry. She has had the opportunity to work in leading Irish and International universities which include: UCD, DCU, NCI, COMSATS Pakistan, and National University of Science and Technology (NUST) Pakistan- where she worked as a Research Fellow, Postdoc, Research Software Engineer VOX-Pol project (FP7 coordinated by DCU), associate faculty, lecturer and Research Associate in (NUST-SEECS). She also has a certification in “University Teaching & Learning Practice” from UCD.
Throughout her career, she has been actively involved in industry collaboration and worked with leading tech Industries, e.g: Fidelity, IBM, Whizz systems USA, PSEB, PYB. My last project was with UCD and Fidelity Ireland for which I won an SFI grant as a Principal Investigator. There are many other awards and funding in my name e.g. IRC grant for PhD, SEECS-NUST Masters scholarship, eCOST, NESUS, IHPCSS, IPDPS, SUD SimGrid Lyon, UCD publication grant and many others.
She received PhD degree from University College Dublin in 2017 on a very prestigious Irish Research Council, Enterprise Partnership Scheme award (IRCSET-EPS) in collaboration with IBM. Before that, she did a Master’s in Software Engineering on a fully-funded scholarship from SEECS-NUST university Pakistan and ranked as a 2nd position holder in the MS program. She has received the dual-degree BS(CS) & (IT) from the Virtual University of Pakistan achieving very high Cumulative Grade Point Averages and ranking near the top of respective classes.
Her professional interest lies in the realm of research and teaching. Hn er research interests include high-performance heterogeneous computing, parallel and distributed computing, performance optimization, and energy-efficient computing.
Research Interests
High Performance Heterogeneous Computing, Parallel/Distributed Computing, Performance/energy Optimization, Communication Optimization
Education/Academic qualification
PhD
Award Date: 19 Jun 2017
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Collaborations and top research areas from the last five years
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Optimal Partitioning of Square Computational Domains for Parallel Computing on Hybrid Servers With Heterogeneous Processors and Heterogeneous Communication Links
Malik, T. & Lastovetsky, A., 1 Jun 2026, In: IEEE Transactions on Parallel and Distributed Systems. 37, 6, p. 1356-1369 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Balancing Security with Performance for Cloud Databases: Data in Transit
Casey, M. & Malik, T., 2025, 2025 Cyber Research Conference - Ireland, Cyber-RCI 2025. Institute of Electrical and Electronics Engineers Inc., (2025 Cyber Research Conference - Ireland, Cyber-RCI 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Evaluating Hardware and Software Power Measurement Tools: Assessing Accuracy in Measuring Application Energy Consumption for Data-Parallel Workloads
Asgher, U. & Malik, T., 2025, Proceedings of the 4th International Conference on Innovations in Computing Research, ICR 2025. Daimi, K. & Alsadoon, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 460-470 11 p. (Lecture Notes in Networks and Systems; vol. 1487 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Performance Evaluation of Machine Learning Applications Using WebAssembly Across Different Programming Languages
Khan, S., Malik, T. & Hasanov, K., 20 Jul 2025, 34th International Symposium on High-Performance Parallel and Distributed Computing HPDC-25.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Performance Evaluation of Machine Learning Applications Using WebAssembly Across Different Programming Languages
Khan, S., Malik, T. & Hasanov, K., 9 Sep 2025, HPDC 2025 - Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing. Association for Computing Machinery (ACM), 36. (HPDC 2025 - Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access