Madi Das, Ph.D.

Patent Agent

madi.das-.-{/email/}-.-leehayes.com

T 585.598.5409

Paralegal

Janette Abernathy

janettea-.-{/email/}-.-leehayes.com

T 585.598.5412

Education

University of Massachusetts, Amherst
Doctor of Philosophy, Computer Science

University of Massachusetts, Amherst
Master of Science, Computer Science

Indian Institute of Technology, Kharagpur
Bachelor of Technology, Electrical Engineering with honors

Associations

Registered to practice before the U.S. Patent and Trademark Office

Thought Leadership

Selected journal and conference publications:

M.D.Wood, M.Das, P.O.Stubler and A.C.Loui, “Event-enabled Intelligent Asset Selection and Grouping for Photobook Creation”, Image and Vision Computing – Special Issue on Event-based Media Processing and Analysis, Elsevier, Sept 1, 2016.
M.Das, A.C.Loui and A.C.Blose, “Visual Feature Localization for Detecting Unique Objects in Images”, Book Chapter 3, Multimedia Information Extraction, Wiley, 2012.
X.Chen, M.Das and A.C.Loui, “An Efficient Framework for Location-based Scene Matching in Image Databases”, International Journal of Multimedia Image Retrieval, Vol 1, 2012.
M.Das and A.C.Loui, “Detecting Recurring Themes in Personal Image Collections”, IEEE International Conference on Semantic Computing, Sept 2011.
M.Das, A.C.Loui and S.Datta, “Collaborative Content Synchronization through an Event-based Framework”, ACM International Workshop on Connected Multimedia, Oct 2010.
M.Das and A.C.Loui, “Detecting Significant Events in Personal Image Collections”, IEEE International Conference on Semantic Computing, Sept 2009.
M.Das and A.C.Loui, “Event Classification in Personal Image Collections”, IEEE International Conference on Multimedia and Expo, June 2009.
M.Das, J.Farmer, A.C.Gallagher and A.C.Loui, “Event-based Location Matching for Consumer Image Collections”, ACM International Conference on Content-based Image and Video Retrieval (CIVR) 2008.

Patents

Selected patents:

US 10,628,730, Issued April 21,2020, “System and method for predictive curation, production infrastructure, and personal content assistant”, Whritenor et al.
US 9,218,367, Issued Dec 22, 2015, “Method and interface for indexing related media from multiple sources”, Das et al.
US 9,042,646, Issued May 26, 2015, “Detecting recurring themes in consumer image collections”, Das et al.
US 8,811,755, Issued on Aug 19, 2014, “Detecting recurring events in consumer image collections”, Das et al.
US 8,718,386, Issued on May 6, 2014, “Adaptive event timeline in consumer image collections”, Das et al.
US 8,611,677, Issued on Dec 17,2013, “Method for event-based semantic classification”, Das et al.
US 8,548,256, Issued on Oct 1, 2013, “Method for fast scene matching”, Loui et al.
US 8,180,112, Issued on Dec 25, 2012, “Detecting significant events in consumer image collections”, Das et al.

Madirakshi (Madi) Das, Ph.D. has over 20 years of industry experience in state-of-the-art research, and in deploying advanced algorithms into commercial products and smart user experiences. Madi is a Patent Agent with an extensive background in artificial intelligence, data science, computer vision, image science, data mining and machine learning. She is skilled at analyzing new technologies, searching prior art, identifying novelty, and creating patent applications from initial ideas.

Madi is a co-inventor on 22 issued US patents, and has authored over 20 peer-reviewed journal and conference papers. She holds a Ph.D. and M.S. degree in Computer Science and a B.S. in Electrical Engineering. Before beginning her career in intellectual property, she was a research scientist at the Eastman Kodak Research Labs, and in advanced development roles at Kodak Alaris.