The Institute for Computer Simulation, Stochastic Modeling and Optimization (CoSSMO) was created in 2013 by an initiative that was strongly supported by CUNY Chancellor Matthew Goldstein (now Emeritus), and Hunter College's President Jennifer Raab and Provost Vita Rabinowitz.
CoSSMO maintains a portfolio of research projects dealing with computer simulation, stochastic modeling and optimization. The focus for the new Institute is on the breadth of applications of stochastic modeling and optimization that are a direct benefit to government and private industry.
CoSSMO's core members and Advisory Board will supervise the balance between the resulting pure research and applied problem solving. Applying research and methods to problems that are of importance in our society helps "make mathematics real" to many students, enhancing their fundamental learning.
The academic disciplines within its scope include: mathematics, computer science, statistics, applied mathematics, geography, business, economics and engineering.
Foundation | Award | Duration | Research Matter |
---|---|---|---|
NIH | $1,383,310 | 2017-2020 | Omics data integration and analysis for structure-based multi-target drug design. PI: Lei |
NIH | $3,897,600 | 2018-2022 | Drug repurposing for Alzheimer's disease using structural systems pharmacology. PI: Lei |
NSF | $782,337 | 2022-2025 | AI-powered multi-scale modeling of microbiome-host interactions. PI: Lei |
NSF | $50,000 | 2022-2023 | I-Corps: Novel molecule discovery by precisely predicting and modulating human pathology. PI: Lei |
CUNY | $280,000 | 2013-Present | Research funds for CoSSMO. |
NSF | $200,000 | 2010-2014 | Combinatorial and Probabilistic Aspects of Biological Problems. PI: Saad, Felisa |
PSC-CUNY 47 Ehanced | $12,000 | 2016-2017 | New challenges in simulation and optimization for data-driven collective decision-making. PI Felisa |
CUNY-IRG 21 | $30,000 | 2014-2015 | Tractable Solutions to Stationary-Constrained Markov Decision Problems. PI: Felisa |
NSF | $599,974 | 2022 | Practical Analyses and Safe Transformations for Imperative Deep Learning Programs. PI: Raffi |
Verizon Foundation | $25,000 | 2017–2018 | Women in Technology and Entrepreneurship in NY. Project Khaleesi–Mentoring Tomorrow’s Cybersecurity Queen of Dragons. PIs: Saptarshi, Raffi |
NSF | $523,000 | 2020-2025 | A Resilient and Agile Fog Framework for Large-scale Disaster Incidence Response. PI: Saptarshi |
NSF | $500,000 | 2018-2021 | End-to-End Performance and Security Driven Federated Data-Intensive Workflow Management. PI: Saptarshi |
CUNY | $11,500 | 2018-2019 | Software-defined Smart Disaster Response Testbed. PI: Saptarshi |
“Stochastic models for pandemic spread under policy changes”. CIS Department Seminar, University of Melbourne, March 2021. Felisa Vázquez-Abad
Simulating sars-cov-2 transmission in the New York subway Authors: Alex Washburn, Ye Paing, Pauline Lin, Felisa Vázquez-Abad Publication date: 2021/12/12 Conference: 2021 Winter Simulation Conference (WSC)
Pandemic model with data-driven phase detection, a study using COVID-19 data Authors: Yuansan Liu, Saransh Srivastava, Zuo Huang, Felisa J Vázquez-Abad Publication date: 2021/9/22 Journal: Journal of the Operational Research Society
Interests, Difficulties, Sentiments, and Tool Usages of Concurrency Developers: A Large-Scale Study on Stack Overflow Authors: Mehdi Bagherzadeh, Syed Ahmed, Srilakshmi Sripathi, Raffi Khatchadourian Publication date: 2021/9/7 Journal: arXiv preprint arXiv:2109.03138
What Do Concurrency Developers Ask About? A Large-Scale Study on Stack Overflow Authors: Mehdi Bagherzadeha, Syed Ahmeda, Srilakshmi Sripathia, Raffi Khatchadourianb Publication date: 2021/9 Journal: arXiv preprint arXiv:2109.03138
An empirical study of refactorings and technical debt in Machine Learning systems Authors: Yiming Tang, Raffi Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, Anita Raja Publication date: 2021/5/22 Conference: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)
CSCI 40500/77100: Software Engineering Authors: Raffi T Khatchadourian Publication date: 2021
An empirical study of refactorings and technical debt in Machine Learning systems Authors: Yiming Tang, Raffi Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, Anita Raja Publication date: 2021/5/22 Conference: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)
An empirical study of refactorings and technical debt in Machine Learning systems Authors: Yiming Tang, Raffi Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, Anita Raja Publication date: 2021/5/22 Conference: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)
VECTrust: trusted resource allocation in volunteer edge-cloud computing workflows Authors: Ashish Pandey, Prasad Calyam, Saptarshi Debroy, Songjie Wang, Mauro Lemus Alarcon Publication date: 2021/12/6
EFFECT: Energy-efficient fog computing framework for real-time video processing Authors: Xiaojie Zhang, Amitangshu Pal, Saptarshi Debroy Publication date: 2021/5/10 Conference: 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
Trust Model for Efficient Honest Broker based Healthcare Data Access and Processing Authors: Mauro Lemus Alarcon, Minh Nguyen, Saptarshi Debroy, Naga Ramya Bhamidipati, Prasad Calyam, Abu Mosa Publication date: 2021/3/22 Conference: 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
Correction to “Structural Insights into Characterizing Binding Sites in Epidermal Growth Factor Receptor Kinase Mutants” Z Zhao, L Xie, PE Bourne Journal of Chemical Information and Modeling 62 (1), 223-224
AD-linked R47H-TREM2 mutation induces disease-enhancing microglial states via AKT hyperactivation FA Sayed, L Kodama, L Fan, GK Carling, JC Udeochu, D Le, Q Li, L Zhou, ... Science translational medicine 13 (622), eabe3947
Brain connectivity alteration detection via matrix‐variate differential network model J Ji, Y He, L Liu, L Xie Biometrics 77 (4), 1409-1421
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology T Cai, L Xie, M Chen, Y Liu, D He, S Zhang, C Mura, PE Bourne, L Xie arXiv preprint arXiv:2111.14283
COVID-19 multi-targeted drug repurposing using few-shot learning Y Liu, Y Wu, X Shen, L Xie Frontiers in Bioinformatics 1
Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 1-18
MSA-regularized protein sequence transformer toward predicting genome-wide chemical-protein interactions: application to GPCRome deorphanization T Cai, H Lim, KA Abbu, Y Qiu, R Nussinov, L Xie Journal of chemical information and modeling 61 (4), 1570-1582
A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing TH Pham, Y Qiu, J Zeng, L Xie, P Zhang Nature machine intelligence 3 (3), 247-257
TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations Q Liu, L Xie PLoS computational biology 17 (2), e1008653
DeepREAL: A Deep Learning Powered Multi-scale Modeling Framework Towards Predicting Out-of-distribution Receptor Activity of Ligand Binding T Cai, KA Abbu, Y Liu, L Xie bioRxiv
Predictive Modeling of Multiplex Chemical Phenomics for Novel Cells and Patients: Applied to Personalized Alzheimer's Disease Drug Repurposing Q Liu, Y Qiu, L Xie bioRxiv
Robust prediction of patient-specific clinical response to unseen drugs from in vitro screens using context-aware deconfounding autoencoder D He, Q Liu, L Xie bioRxiv
Differentiation via logarithmic expansions Authors: Michael C Fu, Bernd Heidergott, Haralambie Leahu, Felisa J Vázquez-Abad Publication date: 2020/2/17 Journal: Asia-Pacific Journal of Operational Research
Deep learning for mental illness detection using brain SPECT imaging Authors: Felisa J Vázquez-Abad, Silvano Bernabel, Daniel Dufresne, Rishi Sood, Thomas Ward, Daniel Amen Publication date: 2020/1/20 Conference: International Conference on Medical Imaging and Computer-Aided Diagnosis
Actor concurrency bugs: a comprehensive study on symptoms, root causes, API usages, and differences Authors: Mehdi Bagherzadeh, Nicholas Fireman, Anas Shawesh, Raffi Khatchadourian Publication date: 2020/11/13 Journal: Proceedings of the ACM on Programming Languages
Collections in Scala Authors: Raffi Khatchadourian Publication date: 2020/10/20
Deep reinforcement learning based energy-efficient task offloading for secondary mobile edge systems Authors: Xiaojie Zhang, Amitangshu Pal, Saptarshi Debroy Publication date: 2020/11/16 Conference: 2020 IEEE 45th LCN Symposium on Emerging Topics in Networking (LCN Symposium)
Energy efficient task offloading for compute-intensive mobile edge applications Authors: Xiaojie Zhang, Saptarshi Debroy Publication date: 2020/6/7 Conference: ICC 2020-2020 IEEE International Conference on Communications (ICC)
Formal modeling and analysis of multi-rogue backoff manipulation attacks in unlicensed networks Authors: Jordi Navarrette, Subash Shankar, Xiaojie Zhang, Saptarshi Debroy Publication date: 2020/3/25 Conference: 2020 16th International Conference on the Design of Reliable Communication Networks DRCN 2020
Frequency-minimal utility-maximal moving target defense against DDoS in SDN-based systems Authors: Saptarshi Debroy, Prasad Calyam, Minh Nguyen, Roshan Lal Neupane, Bidyut Mukherjee, Ajay Kumar Eeralla, Khaled Salah Publication date: 2020/3/4 Journal: IEEE Transactions on Network and Service Management
Security-aware Resource Brokering for Bioinformatics Workflows across Federated Multi-cloud Infrastructures Authors: Minh Nguyen, Saptarshi Debroy, Prasad Calyam, Zhen Lyu, Trupti Joshi Publication date: 2020/1/4 Book: Proceedings of the 21st International Conference on Distributed Computing and Networking
Molecular mechanics-driven graph neural network with multiplex graph for molecular structures S Zhang, Y Liu, L Xie arXiv preprint arXiv:2011.07457
A cross-level information transmission network for predicting phenotype from new genotype: Application to cancer precision medicine D He, L Xie arXiv preprint arXiv:2010.04824
Improving attention mechanism in graph neural networks via cardinality preservation S Zhang, L Xie IJCAI: Proceedings of the Conference 2020, 1395
A Bayesian approach to accurate and robust signature detection on LINCS L1000 data Y Qiu, T Lu, H Lim, L Xie Bioinformatics 36 (9), 2787-2795
The cancer microbiome: distinguishing direct and indirect effects requires a systemic view JB Xavier, VB Young, J Skufca, F Ginty, T Testerman, AT Pearson, ... Trends in cancer 6 (3), 192-204
Heterogeneous multi-layered network model for omics data integration and analysis B Lee, S Zhang, A Poleksic, L Xie Frontiers in genetics 10, 1381
A new weighted imputed neighborhood-regularized tri-factorization one-class collaborative filtering algorithm: application to target gene prediction of transcription factors H Lim, L Xie IEEE/ACM transactions on computational biology and bioinformatics 18 (1 …
Molgnn: Self-supervised motif learning graph neural network for drug discovery X Shen, Y Liu, Y Wu, L Xie Machine Learning for Molecules Workshop at NeurIPS 2020, 4
The cancer microbiome: distinguishing direct and indirect effects requires a systemic view. Trends Cancer 6: 192–204 JB Xavier, VB Young, J Skufca, F Ginty, T Testerman, AT Pearson, ...
AD-linked R47H-TREM2 mutation induces disease-enhancing proinflammatory microglial states in mice and humans FA Sayed, L Kodama, JC Udeochu, L Fan, GK Carling, D Le, Q Li, L Zhou, ... bioRxiv
A deep learning framework for elucidating whole-genome chemical interaction space T Cai, H Lim, KA Abbu, Y Qiu, R Nussinov, L Xie bioRxiv
Exploration of Chemical Space with Partial Labeled Noisy Student Self-Training for Improving Deep Learning Performance: Application to Drug Metabolism Y Liu, H Lim, L Xie bioRxiv
Machine learning strategies for identifying repurposed drugs for cancer therapy H Lim, L Xie Drug Repurposing in Cancer Therapy, 55-79
Small Molecule Modulation of Microbiome Ecosystem: A Systems Pharmacology Perspective Q Liu, B Lee, L Xie bioRxiv
“Weak convergence for stochastic approximations using constant learning rates”, Faculty of Economics and Business, Vrije Universiteit, Amsterdam, November 2019. Felisa Vázquez-Abad
“A dynamic mollifier approach to increase accuracy for neural network models”, CIS Department Seminar, University of Melbourne, April 2019. Felisa Vázquez-Abad
“Deep learning transfer model for brain scans”, CIS Department Seminar, , University of Melbourne, May 2019. Felisa Vázquez-Abad
A simultaneous perturbation weak derivative estimator for stochastic neural networks Authors: Thomas Flynn, Felisa Vázquez-Abad Publication date: 2019/10 Journal: Computational Management Science
Going big: a large-scale study on what big data developers ask Authors: Mehdi Bagherzadeh, Raffi Khatchadourian Publication date: 2019/8/12
Safe automated refactoring for intelligent parallelization of Java 8 streams Authors: Raffi Khatchadourian, Yiming Tang, Mehdi Bagherzadeh Publication date: 2019 Conference: 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)
Gibbs/MCMC Sampling for Multiple RNA Interaction with Sub-Optimal Solutions Authors: Syed Ali Ahmed, Saad Mneimneh Publication date: 2019/1/10 Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Simple Variations on The Tower of Hanoi: A Study of Recurrences and Proofs by Induction Author: Saad Mneimneh Publication date: 2019 Journal: Teaching Mathematics and Computer Science
Adaptive task offloading over wireless in mobile edge computing Authors: Xiaojie Zhang, Saptarshi Debroy Publication date: 2019/11/7 Book: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing
Migration-driven resilient disaster response edge-cloud deployments Authors: Xiaojie Zhang, Saptarshi Debroy Publication date: 2019/9/26 Conference: 2019 IEEE 18th International Symposium on Network Computing and Applications (NCA)
SpEED-IoT: Spectrum aware energy efficient routing for device-to-device IoT communication Authors: Saptarshi Debroy, Priyanka Samanta, Amina Bashir, Mainak Chatterjee Publication date: 2019/4/1 Journal: Future Generation Computer Systems
Database of adverse events associated with drugs and drug combinations A Poleksic, L Xie Scientific reports 9 (1), 1-9
Biological representation of chemicals using latent target interaction profile M Ayed, H Lim, L Xie BMC bioinformatics 20 (24), 1-10
Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature Q Liu, D He, L Xie PLoS computational biology 15 (10), e1007480
Pathway-centric structure-based multi-target compound screening for anti-virulence drug repurposing L Xie, L Xie International journal of molecular sciences 20 (14), 3504
Rational discovery of dual-indication multi-target PDE/Kinase inhibitor for precision anti-cancer therapy using structural systems pharmacology H Lim, D He, Y Qiu, P Krawczuk, X Sun, L Xie PLoS computational biology 15 (6), e1006619
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, et al. Nature Communications 10, 2674
Omics Data Integration and Analysis for Systems Pharmacology H Lim, L Xie Methods Mol Biol. 1939, 199-214
Structure-Unbinding Kinetics Relationship of p38α MAPK Inhibitors X Ge, H Tan, L Xie bioRxiv, 510255
Unbinding Kinetics and Multiple Pathways of p38 MAPK Inhibitors X Ge, H Tan, L Xie bioRxiv, 510255
CR-Honeynet: A cognitive radio learning and decoy-based sustenance mechanism to avoid intelligent jammer Authors: Suman Bhunia, Edward Miles, Shamik Sengupta, Felisa Vázquez-Abad Publication date: 2018/5/8 Journal: IEEE Transactions on Cognitive Communications and Networking
F.J. Vazquez-Abad, D. Dufresne, S. Bernabel, D. Amen, T. Ward, “Deep learning for medical diagnosis using simulation analytics,” Workshop on Simulation Analytics: Smart Simulation in Big Data Era, College of engineering, Pekin University, June 2018.
D. Dufresne, F.J. Vazquez-Abad, T. Flynn, “Mollifiers for Classification Using Neural Networks,” Workshop on Simulation Analytics: Smart Simulation in Big Data Era, College of engineering, Pekin University, June 2018.
F.J. Vazquez-Abad and D. Dufresne, “Deep Learning for detection of Mental Illness,” INFORMS International, Taipei, June 2018.
A Tool for Optimizing Java 8 Stream Software via Automated Refactoring Authors: Raffi Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Syed Ahmed Publication date: 2018/9/23 Conference: 2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM)
Towards safe refactoring for intelligent parallelization of java 8 streams Authors: Yiming Tang, Raffi Khatchadourian, Mehdi Bagherzadeh, Syed Ahmed Publication date: 2018/5/27 Book: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings
Making multiple RNA interaction practical Authors: Syed Ali Ahmed, Saman Farhat, Saad Mneimneh Publication date: 2018/12/15 Conference: International Conference on Combinatorial Optimization and Applications
Simple Variations on the Tower of Hanoi to Guide the Study of Recurrences and Proofs by Induction
Whack-a-Mole: Software-defined Networking driven Multi-level DDoS defense for Cloud environments Authors: Minh Nguyen, Amitangshu Pal, Saptarshi Debroy Publication date: 2018/10/1 Conference: 2018 IEEE 43rd Conference on Local Computer Networks (LCN)
Analyzing moving target defense for resilient campus private cloud Authors: Minh Nguyen, Priyanka Samanta, Saptarshi Debroy Publication date: 2018/7/2 Conference: 2018 IEEE 11th International Conference on Cloud Computing (CLOUD)
Multi-cloud performance and security driven federated workflow management Authors: Matthew Dickinson, Saptarshi Debroy, Prasad Calyam, Samaikya Valluripally, Yuanxun Zhang, Ronny Bazan Antequera, Trupti Joshi, Tommi White, Dong Xu Publication date: 2018/6/22 Journal: IEEE Transactions on Cloud Computing
Collaborative adversarial modeling for spectrum aware IoT communications Authors: Priyanka Samanta, Elizabeth Kelly, Amina Bashir, Saptarshi Debroy Publication date: 2018/3/5 Conference: 2018 International Conference on Computing, Networking and Communications (ICNC)
Structural insights into characterizing binding sites in epidermal growth factor receptor kinase mutants Z Zhao, L Xie, PE Bourne Journal of chemical information and modeling 59 (1), 453-462
A new insight into underlying disease mechanism through semi-parametric latent differential network model Y He, J Ji, L Xie, X Zhang, F Xue BMC bioinformatics 19 (17), 5-19
A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection S Fourati, A Talla, M Mahmoudian, JG Burkhart, R Klén, R Henao, T Yu, ... Nature communications 9 (1), 1-11
Target gene prediction of transcription factor using a new neighborhood-regularized tri-factorization one-class collaborative filtering algorithm H Lim, L Xie Proceedings of the 2018 ACM International Conference on Bioinformatics …
Predicting serious rare adverse reactions of novel chemicals A Poleksic, L Xie Bioinformatics 34 (16), 2835-2842
ANTENNA, a multi-rank, multi-layered recommender system for inferring reliable drug-gene-disease associations: Repurposing diazoxide as a targeted anti-cancer therapy A Wang, H Lim, SY Cheng, L Xie IEEE/ACM transactions on computational biology and bioinformatics 15 (6 …
Dynamic Brain Connectivity Alternation Detection via Matrix-variate Differential Network Model J Ji, Y He, L Xie bioRxiv, 446237
Exploring landscape of drug-target-pathway-side effect associations H Lim, A Poleksic, L Xie AMIA Summits on Translational Science Proceedings 2018, 132
Data-driven adaptive threshold control for bike share systems Authors: Felisa J Vázquez-Abad, Silvano Bernabel, Michael C Fu Publication date: 2017/12/3 Conference: 2017 Winter Simulation Conference (WSC)
Data driven stochastic approximation for change detection Authors: Thomas Flynn, Olympia Hadjiliadis, Ioannis Stamos, Felisa J Vázquez-Abad Publication date: 2017/12/3 Conference: 2017 Winter Simulation Conference (WSC)
A game-theoretic and stochastic survivability mechanism against induced attacks in cognitive radio networks Authors: Saad Mneimneh, Suman Bhunia, Felisa Vázquez-Abad, Shamik Sengupta Publication date: 2017/9/1 Journal: Pervasive and Mobile Computing
Defaultification refactoring: A tool for automatically converting java methods to default Author: Raffi Khatchadourian, Hidehiko Masuhara Publication date: 2017/10/1 Conference: 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)
Automated refactoring of legacy java software to default methods Authors: Raffi Khatchadourian, Hidehiko Masuhara Publication date: 2017/5/20 Conference: 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE)
A game-theoretic and stochastic survivability mechanism against induced attacks in cognitive radio networks Authors: Saad Mneimneh, Suman Bhunia, Felisa Vázquez-Abad, Shamik Sengupta Publication date: 2017/9/1 Journal: Pervasive and Mobile Computing
Counting with code Authors: Saad Mneimneh, Alexey Nikolaev Publication date: 2017/6/1 Journal: Journal of Computing Sciences in Colleges
Controlled growth of simplicial complex networks Authors: Alexey Nikolaev, Saad Mneimneh, Amotz Bar-Noy, Ram Ramanathan Publication date: 2017/5/1 Conference: 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Quantifying trust for robust fusion while spectrum sharing in distributed dsa networks Authors: Shameek Bhattacharjee, Saptarshi Debroy, Mainak Chatterjee Publication date: 2017/5/8 Journal: IEEE Transactions on Cognitive Communications and Networking
Radio Environment Maps and Its Utility in Resource Management for Dynamic Spectrum Access Networks Authors: Saptarshi Debroy, Mainak Chatterjee Publication date: 2017 Book: Resource Allocation in Next-Generation Broadband Wireless Access Networks
VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease Q Liu, C Chen, A Gao, HH Tong, L Xie 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …
Mining FDA resources to compute population-specific frequencies of adverse drug reactions A Poleksic, C Turner, R Dalal, P Gray, L Xie 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …
JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data J Ji, D He, Y Feng, Y He, F Xue, L Xie Bioinformatics 33 (19), 3080-3087
Confused or not confused? Disentangling brain activity from EEG data using bidirectional LSTM recurrent neural networks Z Ni, AC Yuksel, X Ni, MI Mandel, L Xie Proceedings of the 8th acm international conference on bioinformatics …
Cross-dependency inference in multi-layered networks: A collaborative filtering perspective C Chen, H Tong, L Xie, L Ying, Q He ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (4), 1-26
Insights into the binding mode of MEK type-III inhibitors. A step towards discovering and designing allosteric kinase inhibitors across the human kinome Z Zhao, L Xie, PE Bourne PLoS One 12 (6), e0179936
Determining cysteines available for covalent inhibition across the human kinome Z Zhao, Q Liu, S Bliven, L Xie, PE Bourne Journal of medicinal chemistry 60 (7), 2879-2889
Harnessing big data for systems pharmacology L Xie, EJ Draizen, PE Bourne Annual review of pharmacology and toxicology 57, 245
Mixed optimization for constrained resource allocation, an application to a local bus service Authors: Felisa J Vázquez-Abad, Larry Fenn Publication date: 2016/12/11 Conference: 2016 Winter Simulation Conference (WSC)
Stochastic path optimization for robotic bees using cloud computing Authors: Felisa Vázquez-Abad, Silvano Bernabel Publication date: 2016/5/30 Conference: 2016 13th International Workshop on Discrete Event Systems (WODES)
Towards improving interface modularity in legacy java software through automated refactoring Authors: Raffi Khatchadourian, Olivia Moore, Hidehiko Masuhara Publication date: 2016/3/14 Book: Companion Proceedings of the 15th International Conference on Modularity
Controlling use of shared content items based on client device Inventors: Gianpaolo Fasoli, Augustin Farrugia, Apoorva Govind, Raffi Khatchadourian Publication date: 2016/1/21
Gibbs/MCMC sampling for multiple RNA interaction with sub-optimal solutions Authors: Saad Mneimneh, Syed Ali Ahmed Publication date: 2016/6/21 Conference: International Conference on Algorithms for Computational Biology
Testing Higher-Order Network Structures in an Online Experiment Authors: Jason Radford, Amotz Barnoy, Alexey Nikolaev, Saad Mneimneh, David Lazer, Ram Ramanathan Publication date: 2016/2/27
A Sampling Approach for Multiple RNA Interaction Authors: Saad Mneimneh, Syed Ali Ahmed Publication date: 2016/2/21
Security Middleground for Resource Protection in Measurement Infrastructure-as-a-Service Authors: Ravi Akella, Saptarshi Debroy, Prasad Calyam, Alex Berryman, Kunpeng Zhu, Mukundan Sridharan Publication date: 2016/10/18 Journal: IEEE Transactions on Services Computing
End-to-End Security Formalization and Alignment for Federated Workflow Management Authors: Matthew Dickinson, Saptarshi Debroy, Prasad Calyam, Samaikya Valluripally, Yuanxun Zhang, Trupti Joshi, Dong Xu Publication date: 2016/6/27 Conference: 2016 IEEE 9th International Conference on Cloud Computing (CLOUD)
Network measurement recommendations for performance bottleneck correlation analysis Authors: Yuanxun Zhang, Saptarshi Debroy, Prasad Calyam Publication date: 2016/6/13 Conference: 2016 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)
Network-wide anomaly event detection and diagnosis with perfsonar Authors: Yuanxun Zhang, Saptarshi Debroy, Prasad Calyam Publication date: 2016/3/25 Journal: IEEE Transactions on Network and Service Management
Improved genome-scale multi-target virtual screening via a novel collaborative filtering approach to cold-start problem H Lim, P Gray, L Xie, A Poleksic Scientific reports 6 (1), 1-11
Drug repurposing to target Ebola virus replication and virulence using structural systems pharmacology Z Zhao, C Martin, R Fan, PE Bourne, L Xie BMC bioinformatics 17 (1), 1-12
Molecular mechanisms involved in the side effects of fatty acid amide hydrolase inhibitors: a structural phenomics approach to proteome-wide cellular off-target deconvolution … S Dider, J Ji, Z Zhao, L Xie NPJ systems biology and applications 2 (1), 1-8
Large-scale off-target identification using fast and accurate dual regularized one-class collaborative filtering and its application to drug repurposing H Lim, A Poleksic, Y Yao, H Tong, D He, L Zhuang, P Meng, L Xie PLoS computational biology 12 (10), e1005135
FASCINATE: fast cross-layer dependency inference on multi-layered networks C Chen, H Tong, L Xie, L Ying, Q He Proceedings of the 22nd ACM SIGKDD international conference on knowledge …
Environmental governance and public participation in rural China L Xie China Information 30 (2), 188-208
Toward high-throughput predictive modeling of protein binding/unbinding kinetics SH Chiu, L Xie Journal of chemical information and modeling 56 (6), 1164-1174
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease GI Allen, N Amoroso, C Anghel, V Balagurusamy, CJ Bare, D Beaton, ... Alzheimer's & Dementia 12 (6), 645-653
Long term stability of magnetorheological fluids using high viscosity linear polysiloxane carrier fluids L Xie, YT Choi, CR Liao, NM Wereley Smart Materials and Structures 25 (7), 075006
Delineation of polypharmacology across the human structural kinome using a functional site interaction fingerprint approach Z Zhao, L Xie, L Xie, PE Bourne Journal of medicinal chemistry 59 (9), 4326-4341
Protein‐fold recognition using an improved single‐source K diverse shortest paths algorithm J Lhota, L Xie Proteins: Structure, Function, and Bioinformatics 84 (4), 467-472
Providing data science support for systems pharmacology and its implications to drug discovery T Hart, L Xie Expert opinion on drug discovery 11 (3), 241-256
Testing and analysis of magnetorheological fluid sedimentation in a column using a vertical axis inductance monitoring system YT Choi, L Xie, NM Wereley Smart Materials and Structures 25 (4), 04LT01
PDID: database of molecular-level putative protein–drug interactions in the structural human proteome C Wang, G Hu, K Wang, M Brylinski, L Xie, L Kurgan Bioinformatics 32 (4), 579-586
Toward repurposing metformin as a precision anti-cancer therapy using structural systems pharmacology T Hart, S Dider, W Han, H Xu, Z Zhao, L Xie Scientific reports 6 (1), 1-13
The Plasmodium falciparum drugome and its polypharmacological implications Y Zhang, L Xie, L Xie, PE Bourne bioRxiv, 042481
is a Professor of Computer Science (CUNY) and Principal Investigator at the School of Computing and Information Systems (University of Melbourne). She is interested in the optimization and computer simulation of complex systems under uncertainty, primarily in building efficient self-regulated learning systems. She has applied novel techniques for simulation and optimization in telecommunications, transportation, medical ad biological models, finance, and insurance, and she is interested in real-life problems. She co-authored a US patent for an optical network switch and was a research consultant to the Melbourne Airport. In 2017 she mentored the award-winning Hunter Hawks team in the CUNY-IBM Watson Competition. She has participated in Grant Selection Committees and has been Associate Editor for IEEE Transactions on Automatic Control, Management Science, and Operations Research Letters, Area Editor of the ACM Transactions on Computer Modeling and Simulation, and web editor of the INFORMS College on Simulation. She actively participates in events and programs to encourage women and minority students to succeed in Computer Science.
Dr. Lei Xie is an associate professor in Computer Science at Hunter College and a Ph.D. program in Computer Science, Biology, and Biochemistry at the City University of New York. His research focuses on developing new data mining, biophysics, and systems biology methods for multi-scale modeling of causal genotype-phenotype associations and drug actions and applying them to drug discovery for complex diseases. From 2004 to 2011, he was a principal scientist at San Diego Supercomputer Center (SDSC). Before his stint at SDSC, he worked in pharmaceutical companies Roche and Eidogen to develop enterprise platforms for drug discovery. He was trained in Computational Biology as a postdoctoral fellow at Prof. Barry Honig’s group at Columbia University and Howard Hughes Medical Institute. He obtained his Ph.D. in Organic Chemistry and M.S. in Computer Science from Rutgers University and B.S. in Polymer Physics from the University of Science and Technology of China.
OptimizationI am an Assistant Professor in the Department of Computer Science at Hunter College and a member of the Doctoral Faculty of The Graduate School and University Center’s Ph.D. Program in Computer Science of the City University of New York (CUNY). My research interests lie at the intersection of software engineering, programming languages, and systems. I investigate how program analysis, automated refactoring, and type theory can ease the burden of correctly, efficiently, and securely evolving large and complex software. I also study how software developers use particular programming language constructs (empirical software engineering) and how software engineering methodology can improve statistical programs and artificial intelligence. My work has been externally supported by the National Science Foundation (NSF), the Japan Society for the Promotion of Science (JSPS), Amazon Web Services (AWS), and the Verizon Foundation.
OptimizationArea of Specialty: Application of mathematical modeling and algorithmic techniques to scheduling, load balancing, and, more recently, computational biology.
Educational Background: Ph.D., Computer Science, Massachusetts Institute of Technology
Research: My research revolves around the application of mathematical modeling and algorithmic techniques to various problems, including scheduling, load balancing, and, more recently, computational biology, especially the issue of RNA interaction and combinatorial problems inspired by it. My work includes complexity analysis, approximation algorithms, game theory/optimal strategies, and lower/upper bounds.
I am an Assistant Professor of Computer Science at Hunter College, a member of the Doctoral Faculties at The Graduate Center at The City University of New York (CUNY), and a member of the Computer Simulation, Stochastic Modeling, and Optimization (CoSSMO) lab. Before joining CUNY, I was a Post-doctoral Fellow at the University of Missouri (Mizzou). I completed my Ph.D. (2014) in Computer Engineering from the University of Central Florida (UCF). Before that, I received my Master of Technology (2008) from Jadavpur University, Kolkata, India, and a Bachelor of Technology (2006) from the Institute of Engineering and Management of West Bengal University of Technology, Kolkata, India.
Silvano Bernabel - New techniques for Deep NN (Ph.D. CUNY), Research Program Manager (CoSSMO)
Gi-Beom Park - Simulation model for pandemic (Masters, HC)
Yue Qiu, (Ph.D. CUNY)
Mohamed Ayed (Ph.D. CUNY)
Tatiana Castro Vélez (Ph.D. 2025, CUNY GC/HC CS Fellow)
Medha Belwadi (NYU GSTEM 2022)
Pranavi Gollanapalli (NYU GSTEM 2022)
Beatrice Cai, (Ph.D. CUNY)
Minh Nguyen (Ph.D. CUNY)
Xiaojie Zhang (Ph.D. CUNY)
Shuo Zhang, (Ph.D. CUNY)
Yoyo Wu, (Ph.D. CUNY)
Jaime Canizales - Optimal allocation under uncertainty (Masters, HC 2019)
Thomas Flynn - Gradient Estimation for Attractor Networks (Ph.D. CUNY 2017)
Alexey Nikolaev - Schrodinger (Ph.D. CUNY)
Saman Farhat
Ali Ahmed - Google (Ph.D. CUNY)
The vision of synergy and interaction among researchers is reflected in the open plan of the lab, where students from different backgrounds and levels carry out discussions and share experiences and knowledge.
Our computer lab offers desk space for eight permanent students, three visiting academic Faculty, and several interns that can share six working stations. Interns usually come a few days per week, so we accommodate a convenient space for interaction and teamwork. The lab's design is a modern open-plan office with areas for informal discussions and interactions.
In addition, CoSSMO has a server (Dell PowerVault NX3200 210-ABUN with 16GB (4x4GB) RDIMM, 1600MT/s) and a 10 TB Dell PowerEdge R420 data storage unit that can be accessed from the user's computers to perform regular computations and store data in more minor test problems. We offer students smartphones and tables on loan for special projects to develop prototype apps related to our research.
We provide a microwave oven, a refrigerator, and a coffee machine for them to use. Our space offers a friendly, family-like environment to promote creative thinking in a modern setting.
The program is open to all Hunter non-CS women students who will be sophomores in Fall 2018. No background or experience in cybersecurity or computer programming is needed in order to apply, only your interest and enthusiasm. The program is organized by Prof. Saptarshi Debroy and Prof. Raffi Khatchadourian of the Department of Computer Science, Hunter College, The City University of New York. The program is supported by Women in Technology and Entrepreneurship in New York, Hunter College, and The City University of New York.
Hunter College North Building Room 1000 C 695 Park Ave. New York 10065 (212) 396-6751