News Archive

  • 10/2024: Gave an invited talk at SciX 2024: Artificial Intelligence and High-Performance Data Mining for Accelerating Science
  • 09/2024: Featured in Stanford/Elsevier’s list of top 2% scientists worldwide
  • 09/2024: Gave a keynote talk at Global AI Summit 2024: AI+HPC for Accelerating Science and Engineering
  • 07/2024: Named a Top Scholar by ScholarGPS for being in top 0.5% of scholars worldwide in the fields of machine learning, deep learning, and informatics
  • 02/2024: Awarded Nanocombinatorics grant: AI-Driven Nanocombinatorics for Accelerated Structural Characterization: Automated High-Throughput Nanoparticle Library Screening and Analytics
  • 01/2024: Gave a keynote talk at CONFLUENCE 2024: AI+HPC for Accelerating Science and Engineering
  • 12/2023: Gave an invited talk at CMC Webinar: Artificial Intelligence and High-Performance Data Mining for Accelerating Science and Engineering
  • 11/2023: Gave a keynote talk at ICIIP 2023: Artificial Intelligence and High-Performance Data Mining for Accelerating Science and Engineering
  • 10/2023: Co-awarded NSF grant: EAGER: XAISE: Explainable Artificial Intelligence for Science and Engineering
  • 06/2023: Invited to an online roundtable on the role of interdisciplinarity in the development of AI for scientific research, organized by The Royal Society, the UK’s National Academy of Sciences
  • 06/2023: Gave a keynote talk at JARVIS School: Artificial Intelligence and High-Performance Data Mining for Accelerating Materials Discovery and Design
  • 05/2023: Gave an invited talk at ICME 2023: Artificial Intelligence and High-Performance Data Mining for Accelerating Materials Discovery and Design
  • 02/2023: Gave a keynote talk at ForMGE 2023: Artificial Intelligence and High-Performance Data Mining for Accelerating Materials Discovery and Design
  • 02/2023: Awarded Nanocombinatorics grant: AI-Driven Nanocombinatorics for Accelerated Structural Characterization: Automated High-Throughput Nanoparticle Library Screening and Analytics
  • 02/2023: Co-awarded Nanocombinatorics grant: Nitrogen Activation at Catalyst Surfaces to Catalyze Net-Zero: An AI-Driven Approach
  • 01/2023: Conferred Hind Rattan Award (translated as “Jewel of India”), one of the highest Indian diasporic awards conferred to NRIs on the eve of Republic Day for outstanding services, achievements, and contributions for keeping the “Flag of India High”
  • 01/2023: Gave a keynote talk at CONFLUENCE 2023: Artificial Intelligence and High-Performance Data Mining for Accelerating Science and Engineering
  • 11/2022: Gave a keynote talk at IIM ATM AMDAM 2022: Artificial Intelligence and High-Performance Data Mining for Accelerating Materials Science and Engineering
  • 09/2022: Gave a keynote talk at ICAAAIML 2022: Artificial Intelligence and High-Performance Data Mining for Accelerating Scientific Discovery
  • 08/2022: Gave a keynote talk at SPIN 2022: Artificial Intelligence and High-Performance Data Mining for Accelerating Scientific Discovery
  • 08/2022: Co-organized First Workshop on Machine Learning for Materials Science (MLMS) in conjunction with 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • 08/2022: Gave a keynote talk at FLAME 2022: Artificial Intelligence and High-Performance Data Mining for Accelerating Materials Discovery and Design
  • 05/2022: Gave a keynote talk at Com-IT-Con 2022: AI + HPC for Accelerating Science
  • 05/2022: Gave a keynote talk at Workshop on Data-driven Modeling and Optimization at Fraunhofer Institute for Mechanics of Materials, IWM, Germany: Artificial Intelligence and High-Performance Data Mining for Accelerating Materials Discovery and Design
  • 02/2022: Gave an invited talk at TMS 2022 Symposium on AI/Data Informatics: AI/ML/DL Approaches for Accelerating Materials Discovery and Design
  • 02/2022: Gave an invited talk at MaRDA Annual Meeting: Harnessing the Power of FAIR Materials Data
  • 02/2022: Gave an invited talk at NAFEMS Seminar on AI, Data Driven Models & Machine Learning: AI-Driven Learning of the Science and Engineering of Materials from Simulations
  • 01/2022: Gave a keynote talk at CONFLUENCE 2022: AI + HPC for Accelerating Science
  • 01/2022: Gave an invited talk at Institute of Advanced Studies, Loughborough University, England, UK: Artificial Intelligence and High-Performance Data Mining for Accelerating Scientific Discovery
  • 11/2021: Gave an invited talk at US Army DEVCOM CBC Seminar on AI/ML Applications: Artificial Intelligence and High-Performance Data Mining for Accelerating Scientific Discovery
  • 11/2021: Instructed at TMS Online Course: Artificial Intelligence in Materials Science and Engineering
  • 09/2021: Awarded Nanocombinatorics grant: AI-Driven Nanocombinatorics for Accelerated Structural Characterization: Automated High-Throughput Nanoparticle Library Screening and Analytics
  • 09/2021: Awarded Nanocombinatorics grant: AI-Driven Nanocombinatorics for Functional Characterization and Optimization: Predictive Modeling and Active Learning of Catalysis in Megalibraries
  • 09/2021: Gave an invited talk at BiGmax Summer School: Artificial Intelligence and High-Performance Data Mining for Accelerating Scientific Discovery
  • 08/2021: Gave an invited talk at Nanocombinatorics Workshop on Science of AI: AI for Accelerating Materials Discovery and Design
  • 08/2021: Awarded NSF grant: Collaborative Research: AI-Driven Multi-Scale Design of Materials under Processing Constraints
  • 06/2021: Gave an invited talk at ULTRA DOE-EFRC Seminar: Artificial Intelligence and High Performance Data Mining for Accelerating Scientific Discovery
  • 04/2021: Gave an invited talk at NSF AI & Materials Workshop: Artificial Intelligence and High Performance Data Mining for Accelerating Scientific Discovery
  • 02/2021: Gave an invited talk in TMS Webinar Series: AI in Materials: Deep Materials Informatics: Illustrative Applications of Deep Learning in Materials Science
  • 01/2021: Gave a keynote talk at CONFLUENCE 2021: Artificial Intelligence and High Performance Data Mining for Accelerating Scientific Discovery
  • 11/2020: Awarded United States Patent: “System and method for predicting fatigue strength of alloys”, Patent No.: US 10,830,747
  • 11/2020: Gave an invited talk at MS&T 2020: Deep Materials Informatics: Illustrative Applications of Deep Learning in Materials Science
  • 08/2020: Co-awarded DOE grant: RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence
  • 08/2020: Featured in Materials Data Matters podcast on AI Technology in Materials Science
  • 04/2020: Gave an invited talk at CHiMaD Phase Field Workshop 2020: Deep Materials Informatics: Illustrative Applications of Deep Learning in Materials Science
  • 02/2020: Gave an invited talk at TMS 2020: Deep Materials Informatics: Illustrative Applications of Deep Learning in Materials Science
  • 01/2020: Conferred Honorary Professorship at Amity School of Engineering and Technology (ASET), Amity University
  • 01/2020: Gave a keynote talk at CONFLUENCE 2020: High Performance Data Mining: An Essential Paradigm for AI and Big Data Analytics
  • 09/2019: Named Editor-in-Chief of Computers, Materials & Continua (CMC) Journal
  • 08/2019: Gave a keynote talk at LANL workshop: Materials Image Informatics Using Deep Learning: Challenges and Opportunities
  • 07/2019: Gave a keynote talk at ICAIS 2019: High Performance Data Mining: An Essential Paradigm for Big Data Analytics and AI
  • 05/2019: Gave an invited talk at NIST/NSF Microstructures Workshop: Illustrative Microstructure Analytics @CHiMaD
  • 03/2019: Awarded Toyota Research grant: Data-driven Analytics for Understanding Materials Properties
  • 03/2019: Co-awarded DLA/SFSA grant: Digital Innovation Design (DID)
  • 03/2019: Gave an invited talk at TMS 2019: Materials Informatics and Big Data: Realization of 4th Paradigm of Science in Materials Science
  • 01/2019: Co-awarded NIST grant: Center for Hierarchical Materials Design: Phase II
  • 01/2019: Gave an invited talk at RAMSA 2019: High Performance Data Mining: An Essential Paradigm for Applied Mathematics and Interdisciplinary Big Data Analytics
  • 09/2018: Co-awarded DOE grant: PROTEUS: Machine Learning Driven Resilience for Extreme-scale Systems
  • 08/2018: Check out the latest talk video on materials informatics
  • 08/2018: Gave an invited talk at MRS-Mexico 2018: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
  • 08/2018: Gave an invited talk at AIMS 2018 at NIST: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
  • 07/2018: Gave an invited talk at WCCM 2018: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
  • 06/2018: Gave an invited talk at Tata Consultancy Services (TRDDC/TCS), Pune, India
  • 06/2018: Gave an invited talk at Toyota Motor Corporation, Japan
  • 06/2018: Gave an invited talk at MLSE 2018 at CMU: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
  • 04/2018: Gave an invited talk at MLMS 2018 at University of Utah
  • 03/2018: Gave an invited talk at TMS 2018: Data-Driven Approaches for Steel Fatigue Strength Prediction
  • 03/2018: Invited to TMS/NSF workshop on Core Knowledge and Skills for Effective Use of Advanced Computation and Data
  • 02/2018: Gave an invited talk on materials informatics at Materials Science Division Colloquium organized by Argonne National Lab
  • 02/2018: Joint work with FSM on Twitter mentions of Alzheimer’s and dementia featured in The Daily Northwestern
  • 12/2017: Awarded Toyota Research Grant: The investigation of machine learning for material development
  • 11/2017: Gave an invited talk on materials informatics at International Conference on Nano and Functional Materials organized by BITS Pilani
  • 10/2017: Gave an invited talk on materials image informatics at Machine Learning Applied to Materials Imaging Workshop organized by Northwestern-Argonne Institute of Science and Engineering
  • 10/2017: Gave an invited talk on big data analytics at 2017 IEEE Region 4 Workshop on Big Data
  • 09/2017: Gave an invited talk on materials informatics at MAPEX Symposium 2017, University of Bremen, Germany. See Northwestern news article
  • 07/2017: Invited to give a keynote lecture for Materials Genome Symposium at C-MRS 2017. See Northwestern news article
  • 05/2017: Invited to NSF workshop on Advancing and Accelerating Materials Innovation through the Synergistic Interaction among Computation, Experiment, and Theory: Opening New Frontiers
  • 03/2017: Awarded Northwestern Data Science Initiative Grant: Social Media mining of caregiver experiences: Opportunity for preventing caregiver burnout
  • 07/2016: Awarded Northwestern Data Science Initiative Grant: Data-driven analytics for understanding processing-structure-property-performance relationships in steel alloys. See Northwestern news article
  • 07/2016: Co-awarded Northwestern Data Science Initiative Grant: Scaling up the screening of molecular networks in the rational design of optically active materials
  • 05/2016: Featured in the introductory video to the APL Materials special issue on Materials Genome Initiative. See Northwestern news article
  • 05/2016: Gave an invited talk at APS/CNM Users Meeting 2016 at Argonne National Lab: Data-driven materials science enabling large-scale property prediction and optimization
  • 04/2016: Media coverage of APL Materials article and interview with Next Platform on the future of materials science. See Northwestern news article
  • 04/2016: Invited paper on materials informatics published in APL Materials: Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
  • 04/2016: Gave an invited talk at University of Chicago Outcomes Research Workshop: Big data analytics in medicine and healthcare: Analyzing electronic healthcare records, sequence data, social media, and more
  • 02/2016: Gave an invited talk at TMS 2016: Towards Better Efficiency and Accuracy: Data Mining for Prediction and Optimization in Materials System Design
  • 07/2015: Co-awarded DARPA SIMPLEX grant: Data-driven Discovery of Novel Thermoelectric Materials
  • 07/2015: Co-awarded DOE grant: Scalable, In-situ Clustering and Data Analysis for Extreme Scale Scientific Computing
  • 03/2015: Lung cancer outcome calculator becomes highly accessed: Getting hits from 17 countries, including several medical schools and hospitals
  • 02/2015: Recently published IMMI article achieves “highly accessed” status
  • 07/2014: Gave an invited talk at Gordon Betty Moore Foundation, Palo Alto: High Performance Big Data Analytics for Data-Driven Discovery in Natural Sciences (As one of 30 finalists out of 1000+ applicants)
  • 05/2014: Co-awarded NSF grant: SHF:Medium:Collaborative Research: Scalable Algorithms for Spatio-temporal Data Analysis
  • 12/2013: Co-awarded NIST grant: Advanced Materials Center for Excellence: Center for Hierarchical Materials Design (CHiMaD)
  • 08/2013: Analysis of Chicago hospitals costs reveals interesting insights. See Northwestern news article
  • 08/2013: Co-awarded NSF grant: EAGER: Scalable Big Data Analytics
  • 10/2012: Co-awarded AFOSR grant: MURI: MANAGING THE MOSAIC OF MICROSTRUCTURE: Image analysis, data structures, mathematical theory of microstructure, and hardware for the structure-property relationship
  • 01/2012: Co-awarded DOE grant: Scalable Data Management, Analysis, and Visualization (SDAV) Institute
  • 08/2011: Co-awarded NSF grant: EAGER: Discovering Knowledge from Scientific Research Networks