Research Activity

Journals

1. Topirceanu, A., Duma, A., & Udrescu, M. (2016). Uncovering the fingerprint of online social networks using a network motif based approach. Computer Communications, 73, 167-175. [ScienceDirect]

2. Topirceanu, A., Udrescu, M., Vladutiu, M., & Marculescu, R. (2016). Tolerance-based interaction: a new model targeting opinion formation and diffusion in social networks. PeerJ Computer Science, 2, e42. [PeerJ]

3. Suciu, L., Cristescu, C., Topîrceanu, A., Udrescu, L., Udrescu, M., Buda, V., & Tomescu, M. C. (2016). Evaluation of patients diagnosed with essential arterial hypertension through network analysis. Irish Journal of Medical Science (1971-), 185(2), 443-451. [Springer]

4. Topirceanu, A., Udrescu, M. (2016). Statistical Fidelity: A Tool to Quantify the Similarity Between Multi-variable Entities with Application in Complex Networks. International Journal of Computer Mathematics, Taylor & Francis, DOI: 10.1080/00207160.2016.1247437, pp. 1-19 [Taylor&Francis]

5. Udrescu, L., Sbârcea, L., Topîrceanu, A., Iovanovici, A., Kurunczi, L., Bogdan, P., & Udrescu, M. (2016). Clustering drug-drug interaction networks with energy model layouts: community analysis and drug repurposing. Scientific Reports, 6. [Nature]

6. Mihaicuta, D., Udrescu, M., Topîrceanu, A., Udrescu, L. (2017). Network science meets respiratory medicine for OSAS phenotyping and severity prediction. PeerJ, 5:e3289. [PeerJ]

7. Topirceanu, A. (2017). Breaking up friendships in exams: A case study for minimizing student cheating in higher education using social network analysis. Computers & Education, 115, 171-187. [Elsevier]

8. Topirceanu, A., Udrescu, M., Marculescu, R. (2018). Weighted Betweenness Preferential Attachment: A New Mechanism Explaining Social Network Formation and Evolution. Scientific Reports 8. [Nature]

9. Topîrceanu, A., Udrescu, M., Udrescu, L., Ardelean, C., Dan, R., Reisz, D., & Mihaicuta, S. (2018). SAS score: Targeting high-specificity for efficient population-wide monitoring of obstructive sleep apnea. PloS one, 13(9), e0202042. [PlosOne]

10. Topîrceanu, A. (2018). Competition-Based Benchmarking of Influence Ranking Methods in Social Networks. Complexity, 2018. [Hindawi]

11. Fierăscu, S. I., Pârvu, M., Topîrceanu, A., & Udrescu, M. (2018). Exploring Party Switching in the Post-1989 Romanian Politicians Networks from a Complex Network Perspective. Romanian Journal of Political Science, 18(1), 108-136. [SAR]

12. Barina, G., Udrescu, M., Barina, A., Topirceanu, A., & Vladutiu, M. (2019). Agent-based simulations of payoff distribution in economic networks. Social Network Analysis and Mining, 9(1), 63. [Springer]

13. Topîrceanu, A., & Precup, R.-E. (2020). A framework for improving electoral forecasting based on time-aware polling. Social Network Analysis and Mining, 10(1), 39. [Springer]

14. Udrescu, L., Bogdan, P., Chis, A., Sirbu, I. O., Topirceanu, A., Varut, R. M., & Udrescu, M. (2020). Uncovering new drug properties in target-based drug-drug similarity networks. Pharmaceutics, 12(9), 879. [MDPI]

15. Topîrceanu, A., Udrescu, L., Udrescu, M., & Mihaicuta, S. (2020). Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach. Journal of Clinical Medicine, 9(12), 4025. [MDPI]

16. Mihaicuta, S., Udrescu, L., Udrescu, M., Toth, I. A., Topîrceanu, A., Pleavă, R., & Ardelean, C. (2021). Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine. Diagnostics, 11(1), 86. [MDPI]

17. Topirceanu, A. (2021). Electoral Forecasting Using a Novel Temporal Attenuation Model: Predicting the US Presidential Elections. Expert Systems with Applications, 115289. [Elsevier]

18. Topîrceanu, A., & Precup, R. E. (2021). A novel geo-hierarchical population mobility model for spatial spreading of resurgent epidemics. Scientific Reports, 11(1), 1-12. [Nature]

19. Topîrceanu, A. (2022). Benchmarking Cost-Effective Opinion Injection Strategies in Complex Networks. Mathematics, 10(12), 2067. [MDPI]

20. Topîrceanu, A. (2023). On the Impact of Quarantine Policies and Recurrence Rate in Epidemic Spreading Using a Spatial Agent-Based Model. Mathematics, 11(6), 1336. [MDPI]

Books and chapters

• • Topirceanu, A., Udrescu, M., & Vladutiu, M. (2014). Genetically optimized realistic social network topology inspired by facebook. In Online Social Media Analysis and Visualization (pp. 163-179). Springer International Publishing. [Springer]

  • Topirceanu, A. (2016). Structural and Behavioral Analysis and Modeling of the Society. Colectia Teze de doctorat ale UPT, seria 14: Calculatoare si Tehnologia Informatiei, nr. 30, 252 pg., Editura Politehnica, ISBN 978-606-35-0049-7 [PhD]

  • Topirceanu, A., Marcu, M. (2016) "Introducere in programarea Android", Colectia “Programare”, 137 pg., Editura Politehnica, Timisoara, 2015, ISBN 978-606-554-986-9 [Editura Politehnica]

  • Topîrceanu A., Udrescu M. (2018) Strength of Nations: A Case Study on Estimating the Influence of Leading Countries Using Social Media Analysis. In: Network Intelligence Meets User Centered Social Media Networks. Lecture Notes in Social Networks. [Springer]

  • Topirceanu, A. (2021) "Hands-on Android application development with Google Firebase", Colectia “Calculatoare”, 155 pg., Editura Politehnica, Timisoara, 2021, ISBN 978-606-35-0408-2 [Editura Politehnica]

Proceedings

1. Marcu, M., Stangaciu, C., Topirceanu, A., Volcinschi, D., & Stangaciu, V. (2010, December). Wireless Sensors Solution for Energy Monitoring, Analyzing, Controlling and Predicting. In International Conference on Sensor Systems and Software (pp. 1-19). Springer Berlin Heidelberg. [Springer]

2. Topirceanu, A., Udrescu, M., & Vladutiu, M. (2013, September). Network fidelity: A metric to quantify the similarity and realism of complex networks. In Cloud and Green Computing (CGC), 2013 Third International Conference on (pp. 289-296). [IEEE]

3. Barina, G., Topirceanu, A., & Udrescu, M. (2014, May). MuSeNet: Natural patterns in the music artists industry. In Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on (pp. 317-322). [IEEE]

4. Iovanovici, A., Topirceanu, A., Udrescu, M., & Vladutiu, M. (2014, October). Design space exploration for optimizing wireless sensor networks using social network analysis. In System Theory, Control and Computing (ICSTCC), 2014 18th International Conference (pp. 815-820). [IEEE]

5. Topirceanu, A., Iovanovici, A., Udrescu, M., & Vladutiu, M. (2014, October). Social cities: Quality assessment of road infrastructures using a network motif approach. In System Theory, Control and Computing (ICSTCC), 2014 18th International Conference (pp. 803-808). [IEEE]

6. Topîrceanu, A., Tiselice, D., & Udrescu, M. (2014, September). The Fingerprint of Educational Platforms in Social Media: A Topological Study Using Online Ego-Networks. The 2nd International Conference on Social Media in Academia: Research and Teaching (SMART 2014), pp. 355-360.

7. Topîrceanu, A., Fleșeriu, D., & Udrescu, M. (2014, September). Gamified: An Effective and Innovative Approach to Student Motivation Using Gamification. The 2nd International Conference on Social Media in Academia: Research and Teaching (SMART 2014), pp. 41-44.

8. Topirceanu, A., Barina, G., & Udrescu, M. (2014, September). Musenet: Collaboration in the music artists industry. In Network Intelligence Conference (ENIC), 2014 European (pp. 89-94). [IEEE]

9. Duma, A., & Topirceanu, A. (2014, May). A network motif based approach for classifying online social networks. In Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on (pp. 311-315). [IEEE]

10. Topirceanu, A., & Udrescu, M. (2015, May). Measuring realism of social network models using network motifs. In Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on (pp. 443-447).  [IEEE]

11. Udrescu, M., & Topîrceanu, A. (2015, May). What Drives the Emergence of Social Networks?. In 2015 20th International Conference on Control Systems and Computer Science (pp. 999-999). [IEEE]

12. Topirceanu, A., & Udrescu, M. (2015, September). FMNet: Physical Trait Patterns in the Fashion World. In Network Intelligence Conference (ENIC), 2015 Second European (pp. 25-32).  [IEEE]

13. Topirceanu, A., Udrescu, M., Avram, R., & Mihaicuta, S. (2016). Data Analysis for Patients with Sleep Apnea Syndrome: A Complex Network Approach. In Soft Computing Applications (pp. 231-239). Springer International Publishing. [Springer]

14. Topirceanu, A., Iovanovici, A., Cosariu, C., Udrescu, M., Prodan, L., & Vladutiu, M. (2016). Social Cities: Redistribution of Traffic Flow in Cities Using a Social Network Approach. In Soft Computing Applications (pp. 39-49). Springer International Publishing. [Springer]

15. Iovanovici, A., Topirceanu, A., Cosariu, C., Udrescu, M., Prodan, L., & Vladutiu, M. (2016). Heuristic Optimization of Wireless Sensor Networks Using Social Network Analysis. In Soft Computing Applications (pp. 663-671). Springer International Publishing. [Springer]

16. Topirceanu, A., Garcia, J., & Udrescu, M. (2016, September). UPT. Social: The Growth of a New Online Social Network. In Network Intelligence Conference (ENIC), 2016 Third European (pp. 9-16). [IEEE]

17. Udrescu, M., & Topirceanu, A. (2016, September). Probabilistic Modeling of Tolerance-Based Social Network Interaction. In Network Intelligence Conference (ENIC), 2016 Third European (pp. 48-54). [IEEE]

18. Topîrceanu, A. (2017). Gamified learning: A role-playing approach to increase student in-class motivation. Procedia Computer Science, 112, 41-50. [Elsevier]

19. Topîrceanu, A., & Grosseck, G. (2017). Decision tree learning used for the classification of student archetypes in online courses. Procedia Computer Science, 112, 51-60. [Elsevier]

20. Topîrceanu, A., & Udrescu, M. (2017, September). Strength of Nations: A Case Study on Estimating the Influence of Leading Countries Using Social Media Analysis. In European Network Intelligence Conference (pp. 219-229). Springer, Cham. [Springer]

21. Barina, G., Udrescu, M., Topirceanu, A., & Vladutiu, M. (2018, August). Simulating Payoff Distribution in Networks of Economic Agents. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 467-470). [IEEE]

22. Topirceanu, A., & Udrescu, M. (2018, August). Topological Fragility Versus Antifragility: Understanding the Impact of Real-Time Repairs in Networks Under Targeted Attacks. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 1215-1222). [IEEE]

23. Topîrceanu, A., & Precup, R. E. (2019, August). A novel methodology for improving election poll prediction using time-aware polling. In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 282-285). [ACM]

24. Topîrceanu, M., Topîrceanu, A., & Udrescu, M. (2019). Exploring currency exchange dynamics from a complex network perspective, In 2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics (SACI), Timisoara, Romania, pp. 63-68. [IEEE]

25. Topîrceanu, A., Udrescu, M., & Mărculescu, R. (2020, January). Complex Networks Antifragility under Sustained Edge Attack-Repair Mechanisms. In International Conference on Network Science (pp. 185-199). [Springer]

26. Muntea, D., Giurgiu, M., & Topirceanu, A. (2020, May). Network-based clustering of book genres based on the connection between books bought together. In 2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI) (pp. 000041-000046). [IEEE]

27. Topîrceanu, A. (2020). Genetically Driven Optimal Selection of Opinion Spreaders in Complex Networks. Machine Learning and Artificial Intelligence: Proceedings of MLIS 2020, 332, 3. [IOS]

28. Topîrceanu, A. (2020, December). Analyzing the Impact of Geo-Spatial Organization of Real-World Communities on Epidemic Spreading Dynamics. In International Conference on Complex Networks and Their Applications (pp. 345-356). Springer, Cham. [Springer]

29. Topîrceanu, A. (2021). Immunization using a heterogeneous geo-spatial population model: A qualitative perspective on COVID-19 vaccination strategies. Procedia Computer Science, 192, 2095-2104. [Elsevier]

30. Topîrceanu, A., & Udrescu, M. (2021, November). Fast colonization algorithm for seed selection in complex networks based on community detection. In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 214-218). [ACM]

31. Topirceanu, A., & Udrescu, M. (2022, May). On cost-effective strategies for opinion diffusion in complex networks. In 2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI) (pp. 000179-000184). [IEEE]

32. Hurrelbrink, A., & Topirceanu, A. (2023, May). On the impact of population density and mobility restrictions in the control of epidemic spreading. In 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI) (pp. 000177-000182). [IEEE]

Medical congresses

1. AER Score: A Social-Network-Inspired Predictor for Sleep Apnea Syndrome. Ștefan Mihăicuță, Alexandru Topîrceanu, Răzvan Avram, Mihai Udrescu, CHEST Journal, 145(3), 609A-609A.  [CHEST]

2. The Role of the Epworth Sleepiness Score in Identifying Patients Susceptible to Acquiring Obstructive Sleep Apnea Syndrome. Ștefan Mihăicuță, Alexandru Topîrceanu, Răzvan Avram, Mihai Udrescu. American Thoracic Society’s International Conference (ATS) 2014.

3. A Network Based Approach to Sleep Apnea Syndrome. Ștefan Mihăicuță, Răzvan Avram, Alexandru Topîrceanu, Mihai Udrescu, European Respiratory Journal, 42(Suppl 57), P2046.  [ERS]

4. Iovanovici, A., Topirceanu, A., Udrescu, M., Prodan, L., & Mihaicuta, S. (2015). A high-availability architecture for continuous monitoring of sleep disorders. Studies in health technology and informatics, 210, 729. [PubMed]

5. Epworth Sleepiness Score Contribution At A Network-Based Approach To Sleep Apnea Syndrome. Razvan Avram, Alexandru Topirceanu, Florin Mihaltan, Mihai Udrescu, Stefan Mihaicuta (2014). In Am J Respir Crit Care Med, 189, A3596.  [ATS]

6. AER score: An efficient predictor for sleep apnea syndrome. Mihai Udrescu, Alexandru Topirceanu, Ana Muresan, Stefan Mihaicuta. In European Respiratory Journal, 2014; 44:Suppl. 58, nr 2237.  [ERS]

7. Network-based assessment of sleep apnea syndrome treatment response. Alexandru Topirceanu, Mihai Udrescu, Ana Muresan, Stefan Mihaicuta. In European Respiratory Journal, 2014; 44:Suppl. 58, nr 2215.  [ERS]

8. Sas Score: An Innovative Prediction Model For Sleep Apnea Syndrome. Alexandru Topirceanu, Lucretia Udrescu, Stefan Mihaicuta (2015). Am J Respir Crit Care Med, 191, A5617.  [ATS]

9. Mihaicuta, S., Udrescu, M., Militaru, A., Topirceanu, A., & Udrescu, L. (2023). Pharmacotherapeutic profile of sleep apnea patients. [ERJ]

Research projects

1. Director of “Improving the prediction of opinion dynamics in temporal social networks: mathematical modeling and simulation framework”, UEFISCDI Post-Doctoral grant PN-III-P1-1.1-PD-2016-0193, 2018-2019 (40K €).

2. Director of "Agent-based interaction models with temporal attenuation for opinion poll prediction",  UEFISCDI Post-Doctoral grant PN-III-P1-1.1-PD-2019-0379, PD7/2020, 2020-2022 (50.711 €)

3. Project member of "Morpheus: A Screening and Monitoring System for Sleep Apnea Syndrome", Linde RealFund R&D grant, 2014-2016 (75K €).

4. Project member of “Internet of things meets complex networks or early prediction and management of chronic obstructive pulmonary disease”, UEFISCDI PED grant PN-III-P2-2.1-PED-2016-1145, 2017-2018 (130K €).

5. Project member of “Experimental assessment of a self-adaptive intelligent transportation system”, UEFISCDI PED grant PN-III-P2-2.1-PED-2016-1518, 2017 - 2018 (100K €).

6. Project member of “NOVAMOOC: Development and innovative Implementation of MOOCs in Romanian higher education“, UEFISCDI Young Teams grant PN-II-RU-TE2014-4-2040, 2015-2017 (120K €).

7. Project member of “Dormamu: Prediction and management of road congestion using machine learning", ARUT grant 1349/01.02.2019, 2019-2020 (10K €).

8. Project member of "Hyperion: Complexity science for precision pharmacy: predicting relevant drug interactions using complex network analysis", UEFISCDI PED grant PN-III-P2-2.1-PED2019-2842, 2020-2022 (120K €).

9. Project member of "Sleep Revolution: Revolution of sleep diagnostics and personalized health care based on digital diagnostics and therapeutics with health data integration", 965417 / Horizon 2020, 2021-2025 (15M €- total, 131K € - local).

Patents

• M. G. Marcu, A. Stancovici, V. Stangaciu, C. Stangaciu, A. Topirceanu, B. Popescu, D. Volcinschi, and S. O. Fuicu, "System for measuring and analyzing the energy consumption in electric devices by using consumption signatures", RO127698-A0. 

Awards

• Best paper award - Topirceanu, A., & Udrescu, M. (2015, September). FMNet: Physical Trait Patterns in the Fashion World. In Network Intelligence Conference (ENIC), 2015 Second European (pp. 25-32).