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Dr. Mahesh Maurya

Assistant Professor
Ph.D, M.Tech (Computer Engg.), B.E (Computer Engg.)
Specialization: Distributed Computing, Parallel Computing, Big Data & Analytics, Artificial Intelligence, Machine Learning

basant-mohanty

Education –

  •  Ph.D. inComputer Engineering from JJT University in 2016
  •  M.Tech. in Computer Engineering from NMIMS University in 2010
  •  B.E. in Computer Science & Engineering from BAMU University in 2000
  •  Diploma in Computer Engineering from Govt. Polytechnic, Mumbai in 1997
  •  Diploma in Business Management from K.C. College of Management in 2001

Academic experience –

  • Working in MPSTME, NMIMS University as Assistant Professor from 2008 to till date Worked at Atharva College of Engineering as Lecturer from 2006 to 2008
  • Worked at Vidyavardhini College of Engineering and Technology as Lecturer from 2005-2006

Non-academic experience –

Worked at Global Direct as System Engineer from 2001 to 2005

Certifications or professional registrations

● Big Data specialization” from UC San Diego University through Coursera. (Includes six courses: Introduction to big data and analytics, Big data modelling and management systems, Big data integration and processing, Machine learning with big data, Graph analytics with big data) April 2017.

●  "Big Data Using Hadoop” from Manipal University through Webinar conducted by Manipal Prolearn Education, July 2016.

Current membership in professional organizations

ISTE Life Time

Service activities (within and outside of the institution) –

●  Invited as Judging the event "3rd National Level Project Exhibition cum Poster Presentation" on 17th March (Friday), 2017 at Universal College Of Engineering, Vasai, Thane.

● Invited as a member of editors/chairs of CIMNS2016 which is on 25-26 Sep., 2016 was held at Shanghai, China. (http://www.cimns2016.org/)

Briefly list the most important publications and presentations from the past five years –

● Mahesh Maurya, Ishita Kumar, "Analysis of a Seq – 2 – Seq Approach To An End – To – End Conversational Model ”, IEEE, September 2018.

●  Dasoriya, R., Rajpopat, J., Jamar, R., & Maurya, M., "The Uncertain Future of Artificial Intelligence”, 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence)IEEE pp. 458-461. 2018.

● Raheja, R., Shriwastav, S., Rastogi, P., Sethi, U., Maurya, M., & Samantaray, S, "A research analysis of human mindset based on significant parameters”, Computing Communication Control and automation (ICCUBEA), IEEE International Conference onpp. 1-8. 2016.

●  Angaitkar, A. V., Shekokar, N., & Maurya, M., "The Countering the XDoS Attack for Securing the Web Services”,International Journal of Computer Science and Information Technologies, 2014vol. 5(3), pp. 3907-3911.

Briefly list the most recent professional development activities

●  Attended conference IEEE – ICIETS2018, Mysuru, Karnataka, India.

●  Attending Machine Learning course from Stanford University through Coursera


 

           
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