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Profile Details

Seema Shah

Country: India

Education: PhD or Doctorate

Affiliation: Director, B.Tech Program after Tenth, MPSTME, NMIMS

Domain of Research: Technology Trends, Cloud Computing, Distributed Computing, Knowledge Management

Biography: Dr. Seema Shah is currently working as Principal (Actg.) and Professor, Information Technology Department, Vidyalankar Institute of Technology affiliated to University of Mumbai. She has had about twenty four years of teaching experience in academics and software industry. Her primary technical areas of interest are Microprocessors, Computer Organization, Operating Systems, Distributed Computing, Software testing and Data Warehousing. She has guided many projects at the undergraduate and postgraduate level in these areas. On the non technical front her areas of expertise are teaching related: pedagogy and andragogy, microteaching, active and cooperative learning techniques, mentoring, and counseling, soft skills include communication, team work, goal setting, decision making, time management etc. Her training sessions have incorporated a variety of active learning and participatory learning techniques like group discussions, open book assignments, seminars, mini projects etc. which has made the Teaching learning process interesting & a value addition to the students. She is Senior Member, IEEE, life member: ISTE and IWSA. She has been a resource person at various STTPs and training programs for faculty and students of several engineering colleges. She has published many Technical, Management and Teaching- Learning related papers in International and National conferences. She is the recipient of the Best Teacher Award, Rotaract Club Sion, Mumbai & Best Polytechnic Teacher Award- 2001, Maharashtra State, recommended by The Indian Society for Technical Education, New Delhi. She has also authored books for Oxford University Press, Vipul Publications and Reliable Publications. Currently she has completed her Doctorate in the area of Distributed Shared Memory on a Grid of Clustered Machines.

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