21st Century Engineering Education

Research Areas

  • Energy Systems
  • Fluid Mechanics
  • Heat Transfer
  • Energy Harvesting (Conversion) and Storage

Additional Information

  • Professional Experience
    • Associate Professor of Mechanical Engineering, Columbia University (2020-present)
    • Affiliated Associate Professor of Chemical Engineering, Columbia University (2020-present)
    • Affiliated Member of the Data Science Institute, Columbia University (2020-present)
    • Assistant Professor of Mechanical Engineering, Columbia University (2014-2020)
    • Affiliated Assistant Professor of Chemical Engineering, Columbia University (2014-2020)
    • Affiliated Member of the Data Science Institute, Columbia University (2014-2020)
  • Professional Affiliations
    • American Society of Mechanical Engineers (ASME)
    • American Institute for Aeronautics and Astronautics (AIAA)
    • American Chemical Society (ACS)
  • Honors & Awards
    • Invited Headline Speaker for the Faraday Discussion on Unimolecular Reactions (2022)
    • Hiroshi Tsuji Early Career Researcher Award from the Combustion Institute (2021)
    • National Science Foundation CAREER Award (2020)
    • Research Excellence Award from the Combustion Institute (2020)
    • Doctoral New Investigator Award from the American Chemical Society PRF (2016-2018)
    • Director’s Postdoctoral Fellowship at Argonne National Laboratory (2011-2013)
    • Wallace Memorial Fellowship (2009-2010)
    • Princeton Energy and Climate Scholars Fellowship (2008-2010)
  • Education
    • PhD, Mechanical and Aerospace Engineering, Princeton University
    • BS, Mechanical Engineering, Pennsylvania State University

Research Areas

  • Cell & Tissue Engineering
  • Genomics and Computational Modeling
  • Personalized Medicine and Patient-Specific Modeling

Additional Information

  • Professional Experience
    • Assistant Professor of Biomedical Engineering, Columbia University, 2022-
    • Herbert & Florence Irving Assistant Professor of Cancer Data Research, Irving Institute for Cancer Dynamics, 2022-
    • Wallenberg Academy Fellow at Uppsala University, 2022-
    • Wallenberg Fellow, Broad Institute of MIT and Harvard, 2017 - 2022
    • Visiting Scientist, New York Genome Center, 2017 – 2022
    • Visiting Scientist, MIT, 2017 – 2022
    • Postdoctoral Fellow, Royal Institute of Technology, Stockholm, Sweden, Stockholm, 2017 - 2017
    • Graduate Fellow, Royal Institute of Technology, Stockholm, Sweden, Stockholm, 2012 - 2017
    • Research engineer, Royal Institute of Technology, Stockholm, 2011 - 2012 
  • Professional Affiliations
    • Wallenberg Academy Fellow with the Royal Academy of Sciences and Royal Academy of Engineering
  • Honors & Awards
    • Wallenberg Academy Fellow,  2022-
    • Wallenberg Fellow for distinguished young Swedish researchers to the Broad Institute of MIT and Harvard, 2017-2022
    • Fellow, SciLifeLab, 2023-
    • Invited lecture, American Association for Cancer Research, 2024
    • Invited lecture, Max Plank Society, Max Plank Institute for Molecular Genetics, 2024
    • Invited lecture, Advances in Genome Biology and Technology, AGBT Genome Partnership, 2023
    • Invited lecture, Allen Institute for Brain Research, Annual Cell Symposia, 2022       
    • Invited lecture, Human Cell Atlas Technology working group, 2022       
    • Invited lecture, International Society for Stem Cell Research, 2022       
    • Invited lecture, Advances in Genome Biology and Technology, AGBT Genome Partnership, 2021       
    • Invited lecture, American Association for Cancer Research, 2021       
    • Klarman Cell Observatory symposia, Broad Institute of MIT and Harvard, Broad Institute of MIT and Harvard, 2020       
    • Invited lecture, Advances in Genome Biology and Technology, AGBT Genome Partnership, 2020       
    • Invited lecture, Advances in Genome Biology and Technology, AGBT Genome Partnership, 2020       
    • Young Investigator Grant, Knut and Alice Wallenberg Foundation, 2014 - 2019   
    • Invited lecture, Human Cell Atlas, HCA, 2019       
    • Invited lecture, Advances in Genome Biology and Technology, AGBT Genome Partnership, 2019       
    • Invited lecture, Advances in Genome Biology and Technology, 2018       
    • Invited lecture, Klarman Cell Observatory symposia, Broad Institute of MIT and Harvard, 2018       
    • Invited presentation to Broad Institute Board of Scientific Counselors, Broad Institute of MIT and Harvard, 2018
    • Invited presentation to Klarman Cell Observatory Board of Scientific Counselors, Broad Institute of MIT and Harvard, 2018   
    • Invited lecture, Human Cell Atlas, 2017       
    • Selected talk, Molecular Tri-Conference, 2015       
    • Shanghai Jiao Tong University Summer School scholarship, SJTU, 2014         
  • Education
    • PhD, Gene Technology, KTH Royal Institute of Technology
    • MSc, Molecular Biomedicine, KTH Royal Institute of Technology
    • BSc, Biotechnology, University of Zagreb

Research Areas

  • Soft Matter
  • Advanced Materials
  • Nanotechnology
  • Advanced Materials
  • Materials Characterization
  • Materials Design and Engineering
  • Materials Synthesis and Processing
  • Nanomaterials
  • Advanced Manufacturing
  • Biocompatible Materials
  • Bioinductive Materials
  • Biomimetic Materials
  • Functional and Responsive Materials
  • Nanomaterials (Nanotechnology)
  • Biomaterials

Additional Information

  • Professional Experience
    • Professor, Department of Chemical Engineering, Columbia University, 2016–
    • Professor, Department of Applied Physics and Applied Mathematics, Columbia University, 2016–
    • Group leader for Soft and Bionanomaterials, Center for Functional Nanomaterials, Brookhaven National Laboratory, 2008-
    • Staff Scientist, Center for Functional Nanomaterials, Brookhaven National Laboratory, 2004–2016
  • Professional Affiliations
    • American Physical Society
    • Material Research Society 
  • Honors & Awards
    • Vannevar Bush Faculty Fellow, 2024
    • Battelle Inventor of the Year, 2016
    • Elected Fellow of the American Physical Society 2014
    • BNL Science and Technology Award for Outstanding Achievements 2011
    • Gordon Battelle Prize for Scientific Discovery, 2010
    • Department of Energy Outstanding Mentor Award, 2009
    • Rothschild Foundation Distinguished Fellowship, 2000
    • Wolf Foundation Scholarship for outstanding PhD research, 1997
  • Education
    • Rothschild Postdoctoral Fellow, Applied Physics, Harvard University
    • PhD, Physics, Bar-Ilan University
    • MS, Physics, Bar-Ilan University

Research Areas

  • Economics & Computation
  • Optimization
  • Resource Allocation
  • Algorithmic Fairness
  • Matching Platforms

Additional Information

  • Professional Experience
    • Associate Professor, Columbia University, 2022-
    • Assistant Professor, Columbia University, 2016-2022
    • Postdoctoral Researcher, EPFL, 2012-2016
    • Postdoctoral Researcher, University of Padua, 2012-2016
    • Intern, Zuse Institute Berlin, 2016
  • Professional Affiliations
    • INFORMS
    • DIMACS
    • MOS
  • Honors & Awards
    • Meta Research Award, 2022
    • CAREER Award, NSF, 2021
    • Distinguished Faculty Teaching Award, The Fu Foundation School of Engineering, Columbia University, 2018
    • Lorenzo Brunetta award for a PhD thesis in Operations Research, 2012 
  • Education
    • PhD, Operations Research, Sapienza University of Rome (Italy)
    • MSc, Mathematical Engineering, University of Rome Tor Vergata (Italy)
    • BSc, Management Science and Engineering, University of Rome Tor Vergata (Italy)

Research Areas

  • Networks and Distributed Systems
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Causal Inference
  • Economics & Computation
  • Generative AI & Large Language Models (LLMs)
  • Wireless, Embedded & Sensor Systems
  • Cybersecurity
  • Communications
  • Control Systems
  • Information Theory
  • Modeling and Performance Evaluation

Additional Information

  • Professional Affiliations
    • Chair, ACM Sigmetrics
    • ACM Sigcomm
    • IEEE
  • Honors & Awards
    • Distinguished Alumnus Award by IIT Bombay, 2019
    • Fellow, ACM, 2018
    • Fellow, IEEE, 2016
    • Distinguished Young Alumni Award, School of Engineering, University of Massachusetts at Amherst, 2014
    • NSF Career Award, DoE Career Award, IBM and Google Faculty Awards
  • Professional Experience
    • Professor of Computer Science and Electrical Engineering, Columbia University, 2016-
    • CTO, Infinio Systems, 2012-2014
    • CEO Infinio Systems, 2011-2012
    • Visiting Professor, Telefonica, Barcelona 2009
    • Visiting Professor, Technicolor Labs, Paris 2009
    • Visiting Professor, Inria, Sophia Antipolis 2009
    • Associate Professor of Computer Science, Columbia University, 2005–2016
    • Assistant Professor of Computer Science, Columbia University, 2001–2005
  • Education
    • PhD, Electrical Engineering, University of Massachusetts, Amherst
    • MS, Electrical Engineering, University of Massachusetts, Amherst
    • B Tech, Electrical Engineering, IIT Bombay
  • Selected Publications
    • Yibo Zhu, Monia Ghobadi, Vishal Misra and Jitendra Padhye, ECN or Delay: Lessons Learnt from Analysis of DCQCN and TIMELY, Proceedings of 2016 ACM Conference on Emerging network experiment and technology (CoNEXT 2016), December, 2016.
    • Vishal Misra, Routing Money, Not Packets. Revisiting Network Neutrality, Communications of the ACM, Volume 58, Number 6, June, 2015.
    • Richard T. B. Ma and Vishal Misra, The Public Option: a Non-regulatory Alternative to Network Neutrality, IEEE/ACM Transactions on Networking, Volume 21, pp. 1866 - 1879, December, 2013.
    • Vishal Misra, Stratis Ioannidis, Augustin Chaintreau and Laurent Massoulie, Incentivizing Peer-Assisted Services: A Fluid Shapley Value Approach, Proceedings of ACM/Sigmetrics, New York, June, 2010
    • Richard T.B. Ma, Dahming Chiu, John C.S. Lui, Vishal Misra and Dan Rubenstein, On Cooperative Settlement Between Content, Transit and Eyeball Internet Service Providers, IEEE/ACM Transactions on Networking, Volume 19, Number 3, June, 2011.
    • Richard T.B. Ma, Dahming Chiu, John C.S. Lui, Vishal Misra and Dan Rubenstein, The Shapley Value: Its Use and Implications on Internet Economics, Allerton Conference on Communication, Control and Computing, September, 2008.
    • C. V. Hollot, Vishal Misra, Don Towsley and Wei-Bo Gong, On Designing Improved Controllers for AQM Routers Supporting TCP Flows, Proceedings of IEEE Infocom, April, 2001
    • C.V. Hollot, Vishal Misra, Don Towsley and Wei-Bo Gong, A Control Theoretic Analysis of RED, Proceedings of IEEE Infocom, April, 2001.
    • Vishal Misra, Wei-Bo Gong and Don Towsley, Fluid-based Analysis of a Network of AQM Routers Supporting TCP Flows with an Application to RED, Proceedings of ACM Sigcomm, Stockholm, Sweden, August, 2000. 

Research Areas

  • Carbon Management, Capture, Storage, Utilization, and Conversion
  • Communications
  • Computer Architecture
  • Electromagnetics
  • Integrated Circuits and Systems
  • Memory and Storage
  • Networking
  • Photonics
  • Quantum Communications
  • Quantum Computing
  • Silicon Photonics

Additional Information

  • Education
    • PhD, Electrical Engineering, Columbia University
    • MS, Electrical Engineering, Columbia University
    • BS, Computer Science, University of Saskatchewan
    • BEng, Electrical Engineering, University of Saskatchewan

Research Areas

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Networked and Distributed Systems
  • Wireless, Embedded & Sensor Systems
  • Communications
  • Networking
  • Stochastic Processes
  • Algorithms
  • Optimization

Additional Information

  • Professional Affiliations
    • Institute of Electrical and Electronics Engineers (IEEE)
    • ACM Special Interest Group on Measurement and Evaluation (SIGMETRICS)
  • Honors & Awards
    • Best Paper Award at IEEE INFOCOM, 2020
    • Best Student Paper Award at IFIP Performance, 2020
    • NSF CAREER Award, 2017
    • Best Paper Award, ACM CoNEXT, 2016
    • Best Student Paper Finalist Award, American Control Conference (ACC), 2013
    • Mac Van Valkenburg Graduate Research Award, UIUC, 2012
  • Professional Experience
    • Associate Professor of Electrical Engineering, Columbia University, 2019–Present
    • Assistant Professor of Electrical Engineering, Columbia University, 2014–2019
  • Education
    • PhD, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
    • MS, Electrical and Computer Engineering, University of Waterloo
    • BS, Electrical Engineering, University of Tehran

Research Areas

  • Biological and Life Science Engineering
  • Bioprocess Engineering
  • Gene and Drug Delivery
  • Nanotechnology
  • Regenerative Materials
  • Separation Processes
  • Sustainability
  • Synthetic Biology

Additional Information

  • Professional Affiliations
    • American Institute of Chemical Engineers
    • American Chemical Society
  • Professional Experience
    • Associate Professor, Chemical Engineering, Columbia University, 2023-
    • Assistant Professor, Chemical Engineering, Columbia University, 2017–2023
  • Education
    • PhD, Chemistry, University of California, Berkeley
    • BS, Chemistry, Rice University

Research Areas

  • Security and Privacy
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Applied and Theoretical Machine Learning
  • Data Privacy
  • Economics & Computation
  • Game Theory
  • Human-Computer Interaction (HCI)
  • Trustworthy Computing
  • Data Analytics
  • Decision Analysis
  • Optimization
  • Algorithmic Fairness
  • Business Analytics

Additional Information

  • Professional Affiliations
    • Fellow, Center for Democracy & Technology
    • Advisory Board Member, Future of Privacy Forum
    • Member, ACM U.S. Technology Policy Committee
    • Member, IEEE Standards Association
    • Member, Association of Computing Machinery (ACM)
    • Member, Society for Industrial and Applied Mathematics (SIAM)
    • Member, Institute for Operations Research and the Management Sciences (INFORMS)
    • Former Advisory Board Member, U.S. Census Atlanta Regional Data Center (ARDC)
  • Honors & Awards
    • Google NYC Cyber Award, 2023
    • DARPA Director's Fellowship Award, 2023
    • Early Career Faculty Impact Fellowship, 2023
    • Best Paper Award at SaTML, 2023
    • Center for Democracy & Technology Fellowship, 2023
    • Provost's Teaching and Learning Innovating Course Design Award, 2022
    • Best Paper Award Runner-up at CCS, 2021
    • DARPA Young Faculty Award, 2021
    • Apple Privacy-Preserving Machine Learning Award, 2021
    • National Academy of Engineering Frontiers of Engineering Fellowship, 2020
    • NSF CAREER Award, 2020
    • JPMorgan Faculty Award, 2020
    • Google Research Fellowship (through Simons Institute for the Theory of Computing), 2019
    • NIST Unlinkable Data Challenge, Grand Prize Winner and People's Choice Award Winner, 2018
    • Mozilla Research Grant, 2018
    • ACM SIGecom Doctoral Dissertation Honorable Mention, 2018
    • Amori Doctoral Prize in Computing and Mathematical Sciences, 2017
    • Caltech Leadership Award, 2017
    • Simons Award for Graduate Students in Theoretical Computer Science, 2015
    • Best Paper Award at DISC, 2014
  • Professional Experience
    • Associate Professor, Department of Industrial Engineering and Operations Research, Columbia University, 2023-present
    • Assistant Professor, Department of Industrial Engineering and Operations Research, Columbia University, 2021-2022
    • Assistant Professor, School of Industrial and Systems Engineering, Georgia Institute of Technology, 2017-2020
  • Education
    • PhD, Computing and Mathematical Sciences, California Institute of Technology
    • MS, Computer Science, Northwestern University
    • BA, Mathematics and Economics, University of Southern California

Research Areas

  • Biological and Life Science Engineering
  • Gene and Drug Delivery
  • Genomics Engineering
  • Synthetic Biology

Additional Information

  • Professional Affiliations
    • American Institute of Chemical Engineers
    • National Society of Black Engineers
    • American Chemical Society
    • Tau Beta Pi Engineering Honor Society
    • Omega Chi Epsilon National Honor Society for Chemical Engineering
    • National Organization for the Professional Advancement of Black Chemists and Chemical Engineers
    • National Black Postdoctoral Association 
  • Honors & Awards
    • Vaccine Luminary, G7 Global Vaccine Confidence Summit, 2021
    • 1000 Inspiring Black Scientists in America, Cell Press, 2020
    • MIT Rising Star in Chemical Engineering, MIT, 2020
    • Presidential Postdoctoral Research Fellow, Cornell University, 2020-2023
    • Class of 2020 Changemaker, Rensselaer Polytechnic Institute, 2020  
    • Presidential Graduate Research Fellow, Rensselaer Polytechnic Institute, 2016 - 2018  
    • Founders’ Day Award, New York University, 2015
    • Women in Science Scholar, NYU College of Arts & Science, 2014
    • Trinidad & Tobago National Open Scholar in Science, 2011-2015                                                                                                                                   
  • Education
    • PhD, Chemical Engineering, Rensselaer Polytechnic Institute
    • BS, Chemical and Biomolecular Engineering, New York University

Research Areas

  • Computer Vision
  • Machine Learning
  • Artificial Intelligence
  • Multimedia Retrieval
  • Image Video Recognition
  • Multimedia Knowledge Extraction

Additional Information

  • Research Experience
    • Amazon Scholar, 2020-2022
    • Visiting faculty, Microsoft Research, Beijing, 2006
    • Visiting faculty, IBM T. J. Watson Research Center, 2004-2006
  • Professional Experience
    • Dean, Columbia Engineering, 2022-
    • Interim Dean, Columbia Engineering, 2021-2022
    • Senior Executive Vice Dean, Columbia Engineering, 2015–2021
    • Senior vice dean of engineering, Columbia University, 2012–2015
    • Chief Technical Advisor, VidRovr Inc., 2016-
    • Chief Technical Advisor, Axon Image Inc., 2015-
    • Richard Dicker Chair Professor, Columbia University, 2011–
    • Professor of computer science, Columbia University, 2011–
    • Chair of electrical engineering, Columbia University 2007–2010
    • Professor of electrical engineering, Columbia University, 2002–2011
    • Associate professor of electrical engineering, Columbia University, 1997–2002
    • Assistant professor of electrical engineering, Columbia University, 1993–1997
  • Professional Affiliations
    • Fellow of the American Association for the Advancement of Science
    • Fellow of the Institute of Electrical and Electronics Engineers
    • Fellow of Association of Computing Machinery (ACM)
  • Honors & Awards
    • National Academy of Engineering, 2023
    • National Academy of Inventors, 2022
    • Academia Sinica, 2018
    • Fellow, Association for Computing Machinery, 2017
    • Honorary Doctorate, University of Amsterdam, 2016
    • Most Influential Scholar in the Field of Multimedia, AMiner, 2016
    • Great Teacher Award, The Society of Columbia Graduates, 2013
    • Technical Achievement Award, IEEE Signal Processing Society, 2012
    • Technical Achievement Award, ACM Special Interest Group in Multimedia, 2011
    • American Association for the Advancement of Science, 2010
    • Kiyo Tomiyasu Award, IEE, 2009
    • Young Investigator Award, Office of Naval Research, 1998–2001
    • Career Award, National Science Foundation, 1995–1998
  • Selected Publications

    Liu, Wei, Jun Wang, Rongrong Ji, Yu‐Gang Jiang, and Shih‐Fu Chang. "Supervised hashing with kernels." In Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, pp. 2074‐2081, 2012.

    Wu, Xiao‐Ming, Zhenguo Li, Anthony M. So, John Wright, and Shih‐Fu Chang. "Learning with partially absorbing random walks." In Advances in Neural Information Processing Systems (NIPS), pp. 3077‐3085. 2012.

    Wang, Jun, Tony Jebara, and Shih‐Fu Chang. "Semi-supervised learning using greedy max‐cut." Journal of Machine Learning Research 14, no. Mar (2013): 771‐800.

    Ye, Guangnan, Yitong Li, Hongliang Xu, Dong Liu, and Shih‐Fu Chang. "Eventnet: A large scale structured concept library for complex event detection in video." In Proceedings of ACM international conference on Multimedia, pp. 471‐480. ACM, 2015.

    Borth, Damian, Rongrong Ji, Tao Chen, Thomas Breuel, and Shih‐Fu Chang. "Large‐scale visual sentiment ontology and detectors using adjective noun pairs." In Proceedings of ACM international conference on Multimedia, pp. 223‐232. ACM, 2013.

    Smith, John R., and Shih‐Fu Chang. "VisualSEEk: a fully automated content‐based image query system." In ACM international conference on Multimedia, pp. 87‐98. ACM, 1997. 

Research Areas

  • Energy & Environment
  • Multiphase Flows
  • Granular Physics
  • Magnetic Resonance Imaging
  • Multiscale Modeling

Additional Information

  • Professional Affiliations
    • American Institute of Chemical Engineers (Particle Technology Forum)
    • American Physical Society (Division of Fluid Dynamics)
  • Honors & Awards
    • ONR Young Investigator Award, 2023
    • NSF CAREER Award, 2022
    • Janette and Armen Avanessians Diversity Award, Columbia University SEAS, 2021
    • Columbia Provost’s Grants Program for Junior Faculty who Contribute to the Diversity Goals of the University, 2020
    • Sabic Young Professional Award from the AIChE for outstanding contributions to particle technology from an individual under 40, 2019
    • Forbes 30 Under 30 in Science, 2019
    • Danckwerts-Pergamon Prize for the best PhD thesis related to chemical engineering, University of Cambridge, 2015
    • Gates Cambridge Scholar, 2011-2014
  • Professional Experience
    • Associate Professor of Chemical Engineering Columbia University, 2023-Present
    • Assistant Professor of Chemical Engineering, Columbia University, 2018-2023
  • Education
    • PhD, Chemical Engineering, University of Cambridge
    • BS, Chemical Engineering and Physics, Massachusetts Institute of Technology