Past Group Members

Ph.D. Degrees

  1. Ming-Long Liu, Optimization tools for process planning (Ph.D. Industrial Engineering, 1995), Associate Professor, Department of Mathematical Sciences, National Chengchi University, Taiwan.

  2. Hong S. Ryoo, Global optimization of multiplicative programs (Ph.D. Industrial Engineering, 1999), Professor, School of Industrial and Management Engineering, Korea University, Seoul, Korea.

  3. Joseph Shectman, Finite algorithms for global optimization of concave programs and general quadratic programs (Ph.D. Industrial Engineering, 1999), Northfield Information Services.

  4. Shabbir Ahmed, Strategic planning under uncertainty. Stochastic integer programming approaches (Ph.D. Industrial Engineering, 2000), Professor, Department of Industrial and Systems Engineering, Georgia Institute of Technology.

  5. Mohit Tawarmalani, Mixed-integer nonlinear programs: Theory, algorithms, and applications (Ph.D. Industrial Engineering, 2001), Professor, Quantitative Methods Area, Krannert Graduate School of Business, Purdue University.

  6. Kevin C. Furman, Analytical investigations for heat exchanger network synthesis (Ph.D. Chemical Engineering, 2002), ExxonMobil Corporate Strategic Research, Annandale, New Jersey.

  7. Anastasia Vaia, Global optimization in least squares problems in FTIR spectroscopy and X-ray crystallography (Ph.D. Chemical Engineering, 2003), BPAmoco, Naperville, Illinois.

  8. YoungJung Chang, Global optimization in systems biology and bioinformatics (Ph.D. in Chemical Engineering, 2006), Merck, Philadelphia, Pennsylvania.

  9. Wei Xie, Optimization in protein bioinformatics (Ph.D. in Chemical Engineering, 2007), American Airlines Operations Research and Decision Support Group, Fort Worth, Texas.

  10. Alexander B. Smith, Optimization techniques for phase retrieval based on single-crystal X-ray diffraction data (Ph.D. in Chemical Engineering, 2008), Pavilion Technologies, Austin, Texas.

  11. Luis Miguel Rios, Algorithms for derivative-free optimization (Ph.D. in Industrial Engineering, 2009), Kimberly Clark, Atlanta, Georgia.

  12. Xiaowei Bao, Enhancing polyhedral relaxations for global optimization (Ph.D. in Chemical Engineering, 2009), Sabre Decision Technologies, Dallas, Texas.

  13. Joseph Elble, Computational experience with linear optimization and related problems (Ph.D. in Industrial Engineering, 2010), Citadel Investment Group, Chicago, Illinois.

  14. Aida Khajavirad, Convexification techniques for global optimization of nonconvex nonlinear optimization problems (Ph.D. in Mechanical Engineering, 2011, jointly supervised with J. Michalek), IBM TJ Watson Research Laboratory, Yorktown Heights, New York.

  15. Shweta B. Shah, Optimization models and algorithms for protein structure alignment (Ph.D. in Chemical Engineering, 2011), Nielsen Marketing Analytics, Chicago, Illinois.

  16. Apurva Samudra, A systematic framework for molecular design: Methodology and applications (Ph.D. Chemical Engineering, 2012), Rockwell Automation, Austin, Texas.

  17. Keith Zorn, Exploitation of Intermediate Structures for Global Optimization (Ph.D. Chemical Engineering, 2013), ExxonMobil, Fairfax, Virginia.

  18. Yan Zhang, Modeling uncertainty and risk in carbon capture and storage (Ph.D. Chemical Engineering, 2013), BASF, Shanghai, China.

  19. Alison Cozad, Data- and theory-driven techniques for surrogate-based optimization (Ph.D. Chemical Engineering, 2014), ExxonMobil, Fairfax, Virginia.

  20. Satyajith Amaran, Interactions of uncertainty and optimization: Theory, Algorithms, and applications to chemical site operations (Ph.D. Chemical Engineering, 2014), The Dow Chemical Company, Freeport, Texas.

  21. Yash Puranik, Bounds tightening techniques for global optimization of MINLPs (Ph.D. Chemical Engineering, 2016), Rockwell Automation, Austin, Texas.

  22. Nick D. Austin, Tools for computer-aided molecular and mixture design (Ph.D. Chemical Engineering, 2017), Scientific Computing & Modelling NV, Amsterdam, The Netherlands.

  23. Sreekanth Rajagopalan, Design and maintenance planning problems in commodity distribution and chemical site networks (Ph.D. Chemical Engineering, 2018), The Dow Chemical Company, Freeport, Texas.

  24. Zachary T. WIlson, Integer programming applications in data-driven modeling (Ph.D. Chemical Engineering, 2019), The Dow Chemical Company, Freeport, Texas.

  25. Tong Zhang, Chemical process data analytics via text mining and machine learning (Ph.D. Chemical Engineering, 2019), Alibaba, Beijing, China.

  26. Carlos Nohra, Novel relaxation techniques for global optimization of NLPs and MINLPs (Ph.D. Chemical Engineering, 2020), Mitsubishi Electric Research Laboratories, Cambridge, Massachusetts.

  27. Benjamin Sauk, GPU algorithms for large-scale optimization (Ph.D. Chemical Engineering, 2020), ExxonMobil, Texas.

  28. Christian Hubbs, Methods and applications of deep reinforcement learning for chemical processes (Ph.D. Chemical Engineering, 2021), The Dow Chemical Company, Freeport, Texas.

  29. Yijia Sun, Physical properties and chemical product design (Ph.D. Chemical Engineering, 2021), Morgan Stanley, New York.

  30. Marissa Engle, Surrogate modeling with gradient information and symbolic regression (Ph.D. Chemical Engineering, 2021), Eli Lilly and Company, Indiana.

  31. Brad J. Johnson, Time series analysis in drug product development and statistical forecasting (Ph.D. Chemical Engineering, 2022), Institute for Defense Analyses, Virginia.

M.S. Degrees

  1. Russ J. Vander Wiel, A decomposition approach for the time-dependent traveling salesman problem (M.S. Industrial Engineering, 1993), 3M.

  2. Hong S. Ryoo, Range Reduction as a means of performance improvement in global optimization: A branch-and-reduce global optimization algorithm (M.S. Industrial Engineering, 1995), Associate Professor, Department of Industrial and Information Engineering, Korea University, Seoul Korea.

  3. Joseph Shectman, A finite algorithm for separable concave minimization (M.S. Industrial Engineering, 1995).

  4. Ramon Gutierrez, A branch-and-bound approach for machine selection in just-in-time manufacturing systems (M.S. Industrial Engineering, 1996), entrepreneur in Bolivia.

  5. Shabbir Ahmed, Robust process planning under uncertainty (M.S. Industrial Engineering, 1997), Associate Professor, Department of Industrial and Systems Engineering, Georgia Institute of Technology.

  6. Vinay Ghildyal, Design and development of a global optimization system (M.S. Industrial Engineering, 1997), Sabre Decision Technologies.

  7. Mohit Tawarmalani, Multistage network optimization and decomposition algorithms (M.S. Industrial Engineering, 1997), Professor, Quantitative Methods Area, Krannert Graduate School of Business, Purdue University.

  8. Nilanjan Adhya, Global optimization of pooling and blending problems (M.S. Industrial Engineering, 1998), IBM, New York.

  9. Minrui Yu, Optimal design of alternative refrigerants (M.S. Industrial Engineering, 1998), Marconi Communications.

  10. Kevin C. Furman, Computational complexity analysis of heat exchanger network synthesis (M.S. Chemical Engineering, 1999), ExxonMobil Corporate Strategic Research, Annandale, New Jersey.

  11. Yannis Voudouris, A branch and bound approach to globally optimal training of feedforward neural networks (M.S. Chemical Engineering, 1999), Merck & Co., New Jersey.

  12. Anastasia Vaia, Quantitative analysis of chemical mixtures using global MINLP optimization (M.S. Chemical Engineering, 1999), BPAmoco, Naperville, Illinois.

  13. Gautam Nanda, Design of efficient secondary refrigerants (M.S. Chemical Engineering, 2001), US Airways, Arlington, Virginia.

  14. Sumit Mehra, Experiments with cutting planes in branch-and-reduce (M.S. Chemical Engineering, 2001), KPMG Consulting, Chicago, Illinois.

  15. Mayank Mishra, Heuristics and approximation schemes for mixed-integer linear programs (M.S. Chemical Engineering, 2001), Hindusan Lever, Ltd (Unilever-India).

  16. Wei Xie, Robust dynamic facility layout under uncertainty (M.S. Chemical Engineering, 2003), graduate student at UIUC.

  17. Alexander Barton Smith, Direct methods for X-ray structure determination based on the minimal principle (M.S. in Chemical Engineering, 2006), Pavillion Technologies, Austin, Texas.

  18. Benjamin Yung Sheng Ong, Evaluation of advanced Paclitaxel drug delivery implants for controlled release post-surgical treatment against glioblastoma multiform in the brain (M.S. in Chemical and Biomolecular Engineering, 2007, Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, main advisor: Chi-Hwa Wong).

  19. Joseph Elble, Direct methods for sparse linear systems (M.S. in Industrial Engineering, 2007), Citadel Investment Group, Chicago, Illinois.

  20. Joseph Elble, Scaling linear programs: A comprehensive case study (M.S. in Computer Science, 2007), Citadel Investment Group, Chicago, Illinois.

  21. Xiaowei Bao, Automatic convexity identification for global optimization (M.S. in Chemical Engineering, 2007), Graduate student, UIUC.

  22. Saurabh Awasthi, Molecular docking by derivative-free optimization solvers (M.S. in Chemical Engineering, 2008), Kinapse Information Processing and Consulting, Philadelphia, Pennsylvania.

  23. Yiqi Zhu, Computational implementation of a successive linear programming algorithm (M.S. in Chemical Engineering, 2008), Bloomberg L.P., New York, New York.

  24. Xuan Shi, Deterministic global optimization in neural network training (M.S. in Chemical Engineering, 2008), Elite Consulting Group, New York, NY.

  25. Deepak Channamariyappa, Preprocessing in linear programming (M.S. in Chemical Engineering, 2008), AkzoNobel, Netherlands.

  26. Danan Wicaksono, Protein-ligand docking under an algebraic modeling and optimization system (M.S. in Chemical Engineering, 2009), RWTH Aachen University, Germany.

  27. Satyajith Amaran, Global optimization of parameter estimation problems (M.S. in Chemical Engineering, 2009), Graduate Student, Carnegie Mellon University, Pittsburgh, Pennsylvania.

  28. Rohan Desai, A comparison of algorithms for optimizing the omega function (M.S. in Chemical Engineering, 2010), Mihir Consulting LLC, Sugar Land, Texas.

  29. Yizhi Zheng, Pairs trading and portfolio optimization (M.S. in Chemical Engineering, 2011), Bloomberg L.P., New York, New York.

  30. Chih-Wei Chu, Certainty Equivalence Adaptive Control with Inherent Robustness (M.S. in Chemical Engineeering, 2011), visiting researcher, Carnegie Mellon University, Pittsburgh, Pennsylvania.

  31. Fernando Monero Leira, Clustering and integer optimization (M.S. in Chemical Engineering, 2011), BASF, Frankfurt, Germany.

  32. Kai-Fu Chang, Modeling and optimization of polymerase chain reaction using derivative-free optimization (M.S. in Chemical Engineering, 2011), Microfusion Engineering Laboratories, Inc., Norcross, Georgia.

  33. Haoqi Wang, Application of derivative-free algorithms in powder diffraction (M.S. in Chemical Engineering, 2011), Taiwan.

  34. Jianfeng Liu, Tuning BARON using derivative-free optimization (DFO) algorithms (M.S. in Chemical Engineering, 2012), Purdue University, West Lafayette, Indiana.

  35. Judy Chen, Application of derivative-free optimization to influenza epidemic vaccination (M.S. in Chemical Engineering, 2013).

  36. Huangqiang Zhao, Application of derivative-free optimization algorithms in crystallization process optimization (M.S. in Chemical Engineering, 2013), OSIsoft, Shanghai.

  37. Tianluo Chen, A GPU-based Parallel Implementation of BLASTN (M.S. in Chemical Engineering, 2013), University of Houston, Houston, Texas.

  38. Ye Wang, Optimization of lithium-ion battery with derivative-free optimization algorithms (M.S. in Chemical Engineering, 2013), Aspen Technology, Houston, Texas.

  39. Zhihao Jin, A web-based interface for ALAMO (M.S. in Chemical Engineering, 2013), Amazon, Seattle, Washington.

  40. Jingjiang Cheng, A Fortran implementation of ALAMO (M.S. in Chemical Engineering, 2013), INVISTA, Chattanooga, Tennessee.

  41. Zilong Wang, PSA-based prostate cancer screening policy optimization with derivative-free optimization algorithms (M.S. in Chemical Engineering, 2013), Rutgers University, Piscataway, New Jersey.

  42. Jiaqi Luo, Analysis and testing of solving nonlinear programs with filter (M.S. in Chemical Engineering, 2014).

  43. Hua Zheng, Model-And-Search: A derivative-free algorithm and computational experience (M.S. in Chemical Engineering, 2014), Microsoft Research, Seattle, Washington.

  44. Weijia Cui, Optimization of lithium–ion batteries with a Comsol model and derivative-free optimization algorithms (M.S. in Chemical Engineering, 2014).

  45. Xinyu Nie, ALAMO-based models for the thermodynamic properties of water and steam (M.S. in Chemical Engineering, 2014).

  46. Tong Zhang, Medium-term maintenance turnaround planning under uncertainty for integrated chemical sites (M.S. in Chemical Engineering, 2014), Carnegie Mellon University, Pittsburgh, Pennsylvania.

  47. Yicheng Ren, Computational experiments with affine arithmetic (M.S. in Chemical Engineering, 2015), Google, Mountain View, California.

  48. Atharv Bhosekar, Branch-And-Model: A derivative-free optimization algorithm and computational experience (M.S. in Chemical Engineering, 2015), Researcher, Carnegie Mellon University, Pittsburgh, Pennsylvania.

  49. Ananya Chowdhury, Modeling, simulation and derivative-free optimization of Lithium-ion batteries (M.S. in Chemical Engineering, 2015), Process Systems Enterprise, Cedar Knolls, New Jersey.

  50. Yunli Han, Effect of low-discrepancy sequence in ALAMO: Hammersley and Halton sequences (M.S. in Chemical Engineering, 2015).

  51. Siyu Liu, Effect of low-discrepancy sequence in ALAMO: Sobol sequences (M.S. in Chemical Engineering, 2015).

  52. Tapas Peshin, Crude oil price and Dow Jones Industrial Average forecasting using machine learning (M.S. in Chemical Engineering, 2015), Power Costs, Inc., Norman, Oklahoma.

  53. Gongda Ge, Computational investigation of the impact of A-optimal design on ALAMO (M.S. in Chemical Engineering, 2016).

  54. Hejun Li, Computational investigation of the impact of D-optimal design on ALAMO (M.S. in Chemical Engineering, 2016), Amazon, Seattle, Washington.

  55. Zehua Lyu, Computational investigation of the impact of I-optimal design on ALAMO (M.S. in Chemical Engineering, 2016), WorldQuant, New York, New York.

  56. Teng Nie, Computational investigation of the impact of D-optimal design via Monte Carlo on ALAMO (M.S. in Chemical Engineering, 2016), Amazon, Seattle, Washington.

  57. Bhavana Rao, A user-friendly method to select basis functions for ALAMO (M.S. in Chemical Engineering, 2016).

  58. John Villaraga, Multi-agent system for supply chain automation (M.S. in Chemical Engineering, 2017).

  59. Yurong Diao, Discretization for the standard pooling problem (M.S. in Chemical Engineering, 2017).

  60. Shashwat Koranne, Optimization of multilayer perceptron (joint work with Hardik Panchal) (M.S. in Chemical Engineering, 2017).

  61. Hardik Panchal, Optimization of multilayer perceptron (joint work with Shashwat Koranne) (M.S. in Chemical Engineering, 2017).

  62. Sahir Chichkar, Development of high-fidelity quantitative structure property relationships for organic photovoltaics (M.S. in Chemical Engineering, 2017).

  63. Yuting Huang, A systematic review and comparison of existing HPLC software (M.S. in Chemical Engineering, 2017).

  64. Yao Li, Tuning mixed integer programming solvers using derivative-free optimization algorithms (M.S. in Chemical Engineering, 2017).

  65. Gaopo Liu, Tuning nonlinear programming solvers using derivative-free optimization algorithms (M.S. in Chemical Engineering, 2017).

  66. Navneet Singh, Implementation of cycle inequalities for bilinear optimization problems (M.S. in Chemical Engineering, 2017).

  67. Abhijeet Alshi, Machine learning with ALAMO: Fuel consumption estimation (M.S. in Chemical Engineering, 2018).

  68. Aakash Bhatia, Text analytics for predictive maintenance (joint work with Darshan Pandya) (M.S. in Chemical Engineering, 2018).

  69. Aditya Chindhade, Techniques for group-wise feature selection and estimation (M.S. in Chemical Engineering, 2018).

  70. Kedar Dabhadkar, Data-driven modeling of reactor temperature profiles (joint work with Kshitij Ingale) (M.S. in Chemical Engineering, 2018).

  71. Reshma Gajula, Machine learning with ALAMO: Website phishing (M.S. in Chemical Engineering, 2018).

  72. Kshitij Ingale, Data-driven modeling of reactor temperature profiles (joint work with Kedar Dabhadkar) (M.S. in Chemical Engineering, 2018).

  73. Rishabh Kumar, Diagnosis of breast cancer using machine learning techniques on the Wisconsin dataset (M.S. in Chemical Engineering, 2018).

  74. Darshan Pandya, Text analytics for predictive maintenance (joint work with Aakash Bhatia) (M.S. in Chemical Engineering, 2018).

  75. Rohit Tawde, Energy efficiency prediction (M.S. in Chemical Engineering, 2018).

  76. Aman Wagadre, Human activity recognition using ALAMO (M.S. in Chemical Engineering, 2018).

  77. Swapnil Agrawal, Integration of coordinate descent and machine learning for black-box optimization (M.S. in Chemical Engineering, 2019).

  78. Zhenjie Jia,Computational study of data preprocessing methods and machine learning classification algorithms for software bug prediction (joint work with Xinyi Xie) (M.S. in Chemical Engineering, 2019).

  79. Lihan Liu, Integrated machine learning and optimization in Python (M.S. in Chemical Engineering, 2019).

  80. Kanishk Mair, Black-box optimization using coordinate search with accelerated gradient descent (M.S. in Chemical Engineering, 2019).

  81. Muyi Song, Machine learning assisted cyclic coordinate descent algorithm for scalable black-box optimization (M.S. in Chemical Engineering, 2019).

  82. Xinyi Xie, Computational study of data preprocessing methods and machine learning classification algorithms for software bug prediction (joint work with Zhenjie Jia) (M.S. in Chemical Engineering, 2019).

  83. Xinliang Zhao, Predicting parallel algorithm performance with machine learning (M.S. in Chemical Engineering, 2019).

  84. Yao Zhao, Black-box optimization with five different searching techniques (M.S. in Chemical Engineering, 2019).

B.S. Degrees

  1. Hussain Arsiwalla, Computational experiments with the branch-and-reduce algorithm for global optimization, (B.S. Chemical Engineering, 1999).

  2. Hermioni Zouridis, Design of fire suppressants via global optimization (B.S. Chemical Engineering, 2003).