Faculty

Institution

Unit

Venue

Malik Magdon-Ismail

Professor

Rensselaer Polytechnic Institute

Affiliations

School of Science

Computer Science Department

Information Technology and Web Science

Office for Research

Institute for Data Exploration and Applications

Malik Magdon-ismail is currently serving as a Computer Science Professor at Rensselaer Polytechnic Institute.

Honors

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Experiences

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Education

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Malik Magdon-Ismail

Rensselaer Polytechnic Institute

Professor

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computer science data science applied mathematics machine learning network science machine learning research network analysis social network analysis mathematical optimization computational statistics knowledge discovery global networks communication numerical linear algebra social simulation computational intelligence online information numerical algorithms computational optimization low-rank approximation discrete algorithms linear algebra community discovery computational social science community mining community structure networked system design sparse representations data mining social networks information propagation convex analysis distributed systems matrix analysis information diffusion supervised learning matrix factorization combinatorial optimization matrix theory statistical learning theory graph analysis network routing algorithm intelligent computing social medium mining network routing computational finance principal component analysis scalable routing machine learning models social medium data agent dynamics computational learning theory community networks network optimization feature selection agent-based system agent-based models social medium monitoring sparse pca trust management structure discovery rumor spreading neural networks spectral norm hidden groups matrix reconstruction community detection algorithms free lunch contention-free mac protocols enron email multilayer networks optimal link bombs singular vector space fast cauchy transform social communities matrix algorithms prediction markets collective wisdom artificial society computational sociology volunteer computing

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Epigraph Based Multilevel Optimization (Emo) for Enhancing Chain-Of-Thought Reasoning Capabilities. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2025)

Songtao LuYanna DingLior HoreshJianxi GaoMalik Magdon-Ismail

knowledge-based systemsapproximate reasoningmultidisciplinary aicognitive computingcognitive sciencecomputational intelligencereasoning systemthinking skillsknowledge representation and reasoningmodel-based reasoningintelligent systemsinferencedesigncognitionmultilevel optimizationknowledge engineeringartificial intelligenceautomated reasoningevolutionary intelligence

Efficient Parameter Inference in Networked Dynamical Systems via Steady States: A Surrogate Objective Function Approach Integrating Mean-Field and Nonlinear Least Squares. Physical review. E (2024)

Yanna DingJianxi GaoMalik Magdon-Ismail

regulatory network modellingcomputational complexitynonlinear dynamicscomputational biologysurrogate objective functionsteady statesdata sciencedynamical systemsmathematical biosciencedynamic networkssystems biologybiological modelsquantitative biologycomputational statistics

EUREKA: A General Framework for Black-Box Differential Privacy Estimators. 2022 IEEE Symposium on Security and Privacy (SP) (2024)

Yun LuMalik Magdon-IsmailYu WeiVassilis Zikas

information securitystatistical inferencecomputer sciencedata securitydata privacycomputer securitydata scienceprivacy protectiondifferential privacygeneral frameworkcomputational statistics

Graph Representation Learning for Dengue Forecasting. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Jiaqi WengDavid QiuEthan CruzMalik Magdon-IsmailThilanka MunasingheJennifer. C. WeiAshan PathiranaMahi Pasarkar

graph analysiscomputer sciencecomputational intelligencemachine learninggraph theoryknowledge discoverygraph neural networksdata sciencegraph processingforecastingmachine learning researchdengue forecastingbiomedical informatics

Natural Language Processing for Extracting Rich Disease Data Aligned to Satellite Meteorological Data. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Mahi PasarkarJunseob KimEoin O’GaraAlan ZhangMalik Magdon-IsmailThilanka MunasingheJiaqi WengDavid QiuEthan CruzJennifer C. WeiAshan Pathirana

natural language generationepidemiologynatural language processingsatellite meteorological datadata sciencedata extractioncommunicable diseasesdisease surveillancetropical medicineinformation extractionbiomedical text miningtext mining

Learning Network Dynamics From Noisy Steady States. (2023)

Yanna DingJianxi GaoMalik Magdon-Ismail

network sciencecomputer sciencenetwork analysisnonlinear dynamicsnetwork dynamicsnonlinear systemsnetwork theorysteady statescomplex systemsdata sciencedynamical systemsdynamic networksnoisy steady statestrue steady statesmachine learning researchapplied mathematicsnonlinear analysis

Privacy-Utility Tradeoff of Ols With Random Projections. arXiv (Cornell University) (2023)

Lu, YunMagdon-Ismail, MalikWei, YuZikas, Vassilis

random projectionsstatistical inferencecomputer sciencestatisticshigh-dimensional statisticsdata privacystatistical methodologymachine learningndis theoremdata scienceprivacy protectiondifferential privacymachine learning researchapproximate reasoningprivacy-utility tradeoff

Reduced Label Complexity for Tight $\Ell_2$ Regression. arXiv (Cornell University) (2023)

Gittens, AlexMagdon-Ismail, Malik

tight approximationcomputer scienceapproximation theorycomputational complexityhigh-dimensional statisticsmachine learningcomputational mathematicsregularization (mathematics)label complexitydimensionality reductionreduced label complexitydata sciencenumerical algorithmsalgorithmic information theorycomputational optimizationapplied mathematicsmathematical optimizationcomputational statistics

FAIRMM: A Fast and Frontrunning-Resistant Crypto Market-Maker. Lecture notes in computer science (2022)

Michele CiampiMuhammad IshaqMalik Magdon-IsmailRafail OstrovskyVassilis Zikas

information securitycomputer sciencedata securityblockchaincomputer securityfinancial cryptographylightweight cryptographycryptocurrencyfrontrunning-resistant crypto market-makercryptography

Hmm-Boost: Improved Time Series State Prediction via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. (2022)

Georgios MavroudeasMalik Magdon-IsmailXiao ShouKristin P. Bennett

computer sciencecomputational intelligenceprediction modellingmachine learningtime seriesdata-driven predictioncomplex care managementdata sciencepredictive analyticshidden markov modelmachine learning researchhidden markov modelsbiomedical informatics

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Malik Magdon-Ismail

Professor

Rensselaer Polytechnic Institute

Affiliations

School of Science

Computer Science Department

Information Technology and Web Science

Office for Research

Institute for Data Exploration and Applications

Malik Magdon-ismail is currently serving as a Computer Science Professor at Rensselaer Polytechnic Institute.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Malik Magdon-Ismail

Rensselaer Polytechnic Institute

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Songtao LuYanna DingLior HoreshJianxi GaoMalik Magdon-Ismail

Efficient Parameter Inference in Networked Dynamical Systems via Steady States: A Surrogate Objective Function Approach Integrating Mean-Field and Nonlinear Least Squares. Physical review. E (2024)

Yanna DingJianxi GaoMalik Magdon-Ismail

EUREKA: A General Framework for Black-Box Differential Privacy Estimators. 2022 IEEE Symposium on Security and Privacy (SP) (2024)

Yun LuMalik Magdon-IsmailYu WeiVassilis Zikas

information securitystatistical inferencecomputer sciencedata securitydata privacycomputer securitydata scienceprivacy protectiondifferential privacygeneral frameworkcomputational statistics

Graph Representation Learning for Dengue Forecasting. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Jiaqi WengDavid QiuEthan CruzMalik Magdon-IsmailThilanka MunasingheJennifer. C. WeiAshan PathiranaMahi Pasarkar

Natural Language Processing for Extracting Rich Disease Data Aligned to Satellite Meteorological Data. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Mahi PasarkarJunseob KimEoin O’GaraAlan ZhangMalik Magdon-IsmailThilanka MunasingheJiaqi WengDavid QiuEthan CruzJennifer C. WeiAshan Pathirana

Learning Network Dynamics From Noisy Steady States. (2023)

Yanna DingJianxi GaoMalik Magdon-Ismail

Privacy-Utility Tradeoff of Ols With Random Projections. arXiv (Cornell University) (2023)

Lu, YunMagdon-Ismail, MalikWei, YuZikas, Vassilis

Reduced Label Complexity for Tight $\Ell_2$ Regression. arXiv (Cornell University) (2023)

Gittens, AlexMagdon-Ismail, Malik

FAIRMM: A Fast and Frontrunning-Resistant Crypto Market-Maker. Lecture notes in computer science (2022)

Michele CiampiMuhammad IshaqMalik Magdon-IsmailRafail OstrovskyVassilis Zikas

information securitycomputer sciencedata securityblockchaincomputer securityfinancial cryptographylightweight cryptographycryptocurrencyfrontrunning-resistant crypto market-makercryptography

Hmm-Boost: Improved Time Series State Prediction via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. (2022)

Georgios MavroudeasMalik Magdon-IsmailXiao ShouKristin P. Bennett

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