| Global optimization in the 21st century: Advances and challenges CA Floudas, IG Akrotirianakis, S Caratzoulas, CA Meyer, J Kallrath Computers & Chemical Engineering 29 (6), 1185-1202, 2005 | 266 | 2005 |
| A new class of improved convex underestimators for twice continuously differentiable constrained NLPs IG Akrotirianakis, CA Floudas Journal of Global Optimization 30, 367-390, 2004 | 78 | 2004 |
| Modeling and optimization of a combined cooling, heating and power plant system V Chandan, AT Do, B Jin, F Jabbari, J Brouwer, I Akrotirianakis, ... 2012 American Control Conference (ACC), 3069-3074, 2012 | 69 | 2012 |
| Computational experience with a new class of convex underestimators: Box-constrained NLP problems IG Akrotirianakis, CA Floudas Journal of Global Optimization 29, 249-264, 2004 | 69 | 2004 |
| Multimodal knowledge graph for deep learning papers and code AV Kannan, D Fradkin, I Akrotirianakis, T Kulahcioglu, A Canedo, A Roy, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 32 | 2020 |
| Demand shaping in an electrical power grid using day ahead market and real time market prices R Carrasco, I Akrotirianakis, A Chakraborty US Patent 9,899,837, 2018 | 29 | 2018 |
| Globally convergent interior-point algorithm for nonlinear programming I Akrotirianakis, B Rustem Journal of optimization theory and applications 125, 497-521, 2005 | 29 | 2005 |
| Proximal gradient method for huberized support vector machine Y Xu, I Akrotirianakis, A Chakraborty Pattern Analysis and Applications 19, 989-1005, 2016 | 25 | 2016 |
| Interior point method for reformulated optimal power flow model MA Legbedji, R Duzgun, I Akrotirianakis, A Chakraborty US Patent 8,977,524, 2015 | 24 | 2015 |
| An outer approximation based branch and cut algorithm for convex 0-1 MINLP problems B Rustem, I Akrotirianakis, I Maros Optimization Methods and Software 16 (1-4), 21-47, 2001 | 24 | 2001 |
| System and method for predicting power plant operational parameters utilizing artificial neural network deep learning methodologies J Liu, I Akrotirianakis, A Chakraborty US Patent App. 14/867,380, 2017 | 21 | 2017 |
| A primal–dual interior point algorithm with an exact and differentiable merit function for nonlinear programming I Akrotirianakis, B Rustem Optimization Methods and Software 14 (1-2), 1-36, 2000 | 19 | 2000 |
| Efficient calculations of negative curvature in a hessian free deep learning framework X He, I Akrotirianakis, A Chakraborty US Patent 10,713,566, 2020 | 15 | 2020 |
| A globally convergent interior point algorithm for general nonlinear programming problems I Akrotirianakis, B Rustem APMOD2000, Brunel University, 1997 | 15 | 1997 |
| A matrix-free line-search algorithm for nonconvex optimization W Zhou, IG Akrotirianakis, S Yektamaram, JD Griffin Optimization Methods and Software 34 (1), 1-24, 2019 | 11 | 2019 |
| Primal-dual interior point methods for solving discrete optimal power flow problems implementing a chain rule technique for improved efficiency I Akrotirianakis, A Torzhkov US Patent 8,775,136, 2014 | 10 | 2014 |
| Diag2graph: Representing deep learning diagrams in research papers as knowledge graphs A Roy, I Akrotirianakis, AV Kannan, D Fradkin, A Canedo, K Koneripalli, ... 2020 IEEE International Conference on Image Processing (ICIP), 2581-2585, 2020 | 9 | 2020 |
| The role of the off-diagonal elements of the hessian matrix in the construction of tight convex underestimators for nonconvex functions IG Akrotirianakis, CA Meyer, CA Floudas Discovery Through Product and Process Design, 501-504, 2004 | 8 | 2004 |
| Thermo-economic modeling and optimization of a combined cooling, heating, and power plant V Chandan, I Akrotirianakis, A Chakraborty US Patent 9,709,966, 2017 | 7 | 2017 |
| Switching from calendar-based to predictive maintenance: a leaner and faster software-based solution orchestrating data-driven forecasting models G Chabin, I Akrotirianakis, A Chakraborty US Patent App. 15/844,728, 2019 | 6 | 2019 |
Christodoulos A. FloudasDirector, Texas A&M Energy Institute, Erle Nye '59 Chair Professor for Engineering ExcellenceVerified email at tamu.edu
