Dr. Mayukha Pal is currently working as Global R&D Leader – Cloud & Advanced Analytics with ABB's Ability Innovation Center at Hitech City, Hyderabad who pioneered ABB’s Engineered Cloud & Advanced Analytics platform CogniEN for the Digital System division developing Cloud and Data science strategy, roadmap and its program implementation plan. He has more than 23 years of industrial R&D work experience spanning various roles as R&D Leader, global program manager and engineering functional leadership working with ABB, GE and Optiwave Photonics Ltd. He had obtained his Doctorate in Philosophy in Data Science research area from CRRao AIMSCS, University of Hyderabad Campus, Hyderabad and his Master’s degree in Electronics from University of Hyderabad. He co-guided 3 PhD students from IIT, BITS-Pilani as industry supervisor. He has guided more than 30+ M.Tech & B.Tech students for their industrial project internships from premier research institutes of India like IIT, NIT, ISI, IISER, HCU as industry mentor. Currently co-guiding 12 students’ for their industry internship project at ABB Hyderabad. He has published more than 90 peer reviewed research papers in international journals and conferences and holds 10 patents, 2 trade secrets.
He is a senior IEEE member and part of many international technical committees, board of directors, review panels, international conferences, university board of studies with strong industry-academia connection and start up R&D collaboration for leapfrog technology scouting, innovation. He has delivered several keynotes, guest lectures and invited talks in various international forums and spearheaded securing R&D funding for new technology development from govt agencies. His current research interest includes data science, physics aware analytics for electrical distribution system’s Energy Transition, Energy Resilience, Fault Prediction, Power System Dynamics, DER integration, autonomous asset management for Switchgear Analytics along with special interest in cognitive neuroscience; biomedical signal processing; financial analytics using techniques like data driven analysis, AI & ML, Deep learning, nonlinear dynamics, fluctuation Analysis, time series analysis, multifractal and correlation study, wavelet analysis, mathematical modeling of complex systems.
