Dr. Cristian-Daniel Alecsa
(former researcher at ICTP, between 2017-2021)
This website does not contain the papers elaborated after leaving ICTP.
Last update: February 21, 2022.
Former position:
Research Assistant at Tiberiu Popoviciu Institute of Numerical Analysis
Postdoc, Romanian Institute for Science and Technology
Research domains:
- Optimization Methods for Machine Learning
- Data Science Techniques
- Scientific Computing & Numerical Algorithms
- Mathematical Modeling
Personal Data
Date and place of birth : 15.03.1990, Săveni, Botoșani
Educational Background
2005 – 2009 : High School „Dr. Mihai Ciucă”, Săveni, section Mathematics – Computer Science
2010 – 2013 : Faculty of Mathematics and Computer Science, “Babeş-Bolyai” University, Cluj-Napoca
2013 – 2015 : Master Studies at Faculty of Mathematics and Computer Science, “Babeş-Bolyai” University, Cluj-Napoca, field Applied Mathematics;
2015 – 2019 : Doctoral Studies at Faculty of Mathematics and Computer Science, “Babeş-Bolyai” University, Cluj-Napoca, field Nonlinear Operators and Differential Equations
Employment Experience
3 February 2020 – ?: Machine Learning Researcher at Romanian Institute of Science and Technology (RIST) : Postdoc position for the”DeepRiemann” project entitled “Riemannian Optimization Methods for Deep Learning” – funded European Regional Development Fund and the Romanian Government through the Competitiveness Operational Program 2014-2020
1 January 2017 – January 2021: Assistant Researcher at Tiberiu Popoviciu Institute of Numerical Analysis (ICTP), Romanian Academy, Cluj-Napoca, Romania
3 July 2019 – 23 December 2019 : Machine Learning Engineer at EspresSoft-Tech SRL, Cluj-Napoca, Romania
Conferences and Workshops
- S.C. Laszlo, C.D. Alecsa, T. Pinta, An extension of the second order dynamical system that models Nesterov’s convex gradient method, Games, Dynamics and Optimization (GDO2020), Rome, Italy, February 24-26, 2020.
- Interdisciplinary Conference for Phd Students, Baru Mare, Hunedoara, 3-5 June 2016
- Student Scientific Session, Phd Students, Cluj-Napoca, 31 May 2016
- Student Scientific Session, Phd Students, Cluj-Napoca, 6 June 2017
- Numerical Analysis, Approximation and Modeling (Symposium), Cluj-Napoca, 14 June 2017
- Național Session of Mathematics Scientific Communications, Iași, 6-9 July 2017
- Weekly Seminars at ‘Tiberiu Popoviciu’ Institute of Numerical Analysis, 2017
- PhD Scientific Reports at ‘Nonlinear Operators and Differential Equations’ Research Group, UBB, 2015-present
Teaching Experience
http://www.cs.ubbcluj.ro/files/orar/2015-1/cadre/alcc.html
Seminar – Basic Mathematics – first semester, 2015/2016, Mathematics for Computer Science (teaching in Romanian), Undergraduate (for 1st and 2nd year students)
Seminar – Differential Equations – first semester, 2015/2016, Mathematics (teaching in Romanian), Undergraduate (for 2nd year students)
Lab – Differential Equations – first semester, 2015/2016, Mathematics (teaching in Romanian), Undergraduate (for 2nd year students)
http://www.cs.ubbcluj.ro/files/orar/2015-2/cadre/alcc.html
Seminar – Special Topics of Differential Equations – second semester, 2015/2016, Mathematics and Mathematics for Computer Science (teaching in Romanian), Undergraduate (for 2nd year students)
Lab – Dynamical Systems – second semester, 2015/2016, Computer Science (teaching in English), Undergraduate (for 2nd year students)
http://www.cs.ubbcluj.ro/files/orar/2016-1/cadre/alcc.html
Lab – Probability and Statistics – first semester, 2016/2017, Computer Science (teaching in Romanian), Undergraduate (for 2nd year students)
Lab – Probability and Statistics – first semester, 2016/2017, Computer Science (teaching in English), Undergraduate (for 2nd year students)
Seminar – Differential Equations – first semester, 2016/2017, Mathematics (teaching in Romanian), Undergraduate (for 2nd year students)
Lab – Differential Equations – first semester, 2016/2017, Mathematics (teaching in Romanian), Undergraduate (for 2nd year students)
http://www.cs.ubbcluj.ro/files/orar/2016-2/cadre/alcc.html
Lab – Numerical Calculus – second semester, 2016/2017, Computer Science (teaching in English), Undergraduate (for 3rd year students)
Lab – Numerical Analysis – second semester, 2016/2017, Mathematics (teaching in Romanian), Undergraduate (for 2nd year students)
Lab – Dynamical Systems – second semester, 2016/2017, Computer Science (teaching in English), Undergraduate (for 1st year students)
http://www.cs.ubbcluj.ro/files/orar/2017-1/cadre/alcc.html
Lab – Mathematical Statistics – first semester, 2017/2018, Mathematics for Computer Science (teaching în Romanian), Undergraduate (for 3rd year students)
Seminar – Differential Equations – first semester, 2017/2018, Mathematics (teaching in Romanian), Undergraduate (for 2nd year students)
Seminar – Differential Equations – first semester, 2017/2018, Mathematics for Computer Science (teaching in Romanian), Undergraduate (for 2nd year students)
http://www.cs.ubbcluj.ro/files/orar/2017-2/cadre/alcc.html
Seminar – Dynamical Systems – second semester, 2017/2018, Computer Science (teaching in Romanian), Undergraduate (for 1st year students)
Computer experience
Programming languages: Matlab, C, C++, Maple, HTML, CSS, JQuery
Word-processing languages: LaTeX, Scientific Work Place, Beamer
Languages
English
- C.D. Alecsa, L.S. Csaba, Tikhonov regularization of a perturbed heavy ball system with vanishing damping, SIAM J. Optim., 31 (2021) no. 4, pp. 2921-2954, http://doi.org/10.1137/20M1382027
- A. Viorel, C.D. Alecsa, T.O. Pinţa, Asymptotic analysis of a structure-preserving integrator for damped Hamiltonian systems, Discrete & Continuous Dynamical Systems, 41 (2021) 7, 3319-3341, doi: 10.3934/dcds.2020407
- C.D. Alecsa, S.C. László, T. Pinţa, An extension of the second order dynamical system that models Nesterov’s convex gradient method, Appl. Math. Optim., 84 (2021), pp. 1687–1716. doi: 10.1007/s00245-020-09692-1
- C.-D. Alecsa, S.C. László, A. Viorel, A gradient-type algorithm with backward inertial steps associated to a nonconvex minimization problem, Numer. Algor. 84 (2020), pp. 485-512.
- C.D. Alecsa, I. Boros, F. Frank, P. Knabner, M. Nechita, A. Prechtel, A. Rupp, N. Suciu, Numerical benchmark study for flow in highly heterogeneous aquifers, Adv. Water Res., 138 (2020), 103558
- C.D. Alecsa, T. Pinţa, I. Boros, New optimization algorithms for neural network training using operator splitting techniques, Neural Networks, 126 (2020), 178-190. doi: 10.1016/j.neunet.2020.03.018
- C.-D. Alecsa, The long time behavior and the rate of convergence of symplectic convex algorithms obtained via splitting discretizations of inertial damping systems, (2020), arXiv:2001.10831
- C.D. Alecsa, A. Petruşel, Some variants of Ćirić’s multi-valued contraction principle, Annals of West University of Timisoara – Mathematics and Computer Science, 57 (2019) no. 1, pp.23-42, https://doi.org/10.2478/awutm-2019-0004
- C.D. Alecsa, Sequences of contractions on cone metric spaces over Banach algebras and applications to nonlinear systems of equations and systems of differential equations, International Journal of Nonlinear Analysis and Applications, 10, 2, 2019, 227-254. doi: 10.22075/ijnaa.2019.18884.2040 (not@ictp)
- C.D. Alecsa, I. Boros, F. Frank, P. Knabner, M. Nechita, A. Prechtel, A. Rupp, N. Suciu, Benchmark for numerical solutions of flow in heterogeneous groundwater formations, arxiv.
- , SERS assessment of the cancer-specific methylation pattern of genomic DNA: towards the detection of acute myeloid leukemia in patients undergoing hematopoietic stem cell transplantation, Anal. Bioanal. Chem. 411 (2019) no. 29, pp. 7907–7913. (doi: 10.1007/s00216-019-02213-2)
- C.D. Alecsa, Common fixed points for Presic operators via simulation functions, J. Nonlin. Conv. Analysis, 20 (2019) no. 3, 363-377. (not@ictp)
- V. Moisoiu, A. Socaciu, A. Stefancu, S. D. Iancu, I. Boros, C. Alecsa, C. Rachieriu, A. R. Chiorean, D. Eniu, N. Leopold, C. Socaciu, D. Eniu, Breast cancer diagnosis by surface-enhanced Raman scattering (SERS) of urine, Appl. Sci., 9 (2019) no. 4, 806.
- C. D. Alecsa, Approximating fixed points for nonlinear generalized mappings using Ishikawa iteration, Rend. Circ. Mat. Palermo, II. Ser. 68 (2011) 1, pp. 163-191 (not@ictp)
- C.D. Alecsa, Some fixed point results linked to α − β rational contractions and modified multivalued Hardy-Rogers operators, J. Fixed Point Theory, 2018, 2018:3 (not@ictp)
- C.D. Alecsa, Some fixed point results regarding convex contractions of Presić type, J. Fixed Point Theory Appl. (2018) 20: 7. (not@ictp)
- C.D. Alecsa, Fixed point theorems for generalized contraction mappings on b-rectangular metric spaces, Studia Universitatis Babeş-Bolyai Mathematica, 62 (2017) No. 4, 499-524 (not@ictp)
- C.D. Alecsa, Stability results and qualitative properties for Mann’s algorithm via admissible perturbations technique, Applied Analysis and Optimization, 1 (2017) no. 2, 327-344. (not@ictp)
- C. Alecsa, On new faster fixed point iterative schemes for contraction operators and comparison of their rate of convergence in convex metric spaces, Int. J. Nonlinear Anal. Appl. 8 (2017) No. 1, 353-388. (not@ictp)
- C.D. Alecsa, A. Petrusel, On some fixed point theorems for multi-valued operators by altering distance technique, J. Nonlinear Var. Anal. 1 (2017), 237-251. (not@ictp)
Postdoc position at Romanian Institute of Science and Technology – for the”DeepRiemann” project entitled “Riemannian Optimization Methods for Deep Learning” – funded European Regional Development Fund and the Romanian Government through the Competitiveness Operational Program 2014-2020
Research Assistant at the Technical University of Cluj-Napoca – national research grant “Research Projects for Young Independent Teams” PN-III-P1-1.1-TE-2016-0266, entitled “Optimizare neneteda, convexa si neconvexa, o abordare din perspectiva sistemelor dinamice” (in Romanian)
GitHub projects: https://github.com/CDAlecsa
Contributor to a Deep Learning library: https://github.com/rist-ro/argo
Research Internship at the Research Group on Applied Mathematics, Faculty of Mathematics, University of Vienna, 05.11.2019 – 12.11.2019