Dr. Parag Upendra Bhalchandra

Dr.Parag Upendra Bhalchandra

Assistant Professor

School of Computational Sciences, SRTMUN

S.R.T.M.University, Nanded – 431 606

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https://sites.google.com/site/srtmunparag/home

 
Personal & Academic Information:
Date of Birth: 27-Oct-76
Qualification: M.Sc.(Comp.Sci), M.Phil.(Comp.Sci), PhD(Comp.Sci),SET, NET
Specialization: Computer Science
Teaching Experience: UG: 08
  PG: 10
Courses taught till date Computer Organisation, Programing in C,C++, Pearl, Data Structures & Algorithms, Design and Analysis of Algorithms, Mobile Communications, RDBMS, Advanced Databases, Distributed Databases, Data Mining, Data Warehouses
Summary of Academic Career

Dr. Parag Bhalchandra is Assistant Professor at School of Computational Sciences, Swami Ramanand Teerth Marathwada University, and Nanded, MS, India. His areas of interest are Algorithm Complexity, Data Mining and ICT. He graduated (B.Sc.) and Post Graduated (M.Sc- Computer Science) of the Yogeshwari Mahavidyalaya, Ambajogai, Dist Beed, India with “College Merit “ ranking and joined as Lecturer at Department of Computer Science of the same college immediately after getting his education, where he has taught for eight years. He has joined SRTM University in 2009.  He has qualified SET & NET (2002) and completed his M.Phil and Doctorate in the faculty of Computer Studies of SRTM University, Nanded, in 2014.

Thrust Areas of Research: Computational Intelligence , ICT
  UGC                                  : 03
Research Publications:  Others                              : 03
  Conference Proceedings : 03
Citations: Google Scholar : 83
Paper Presentations:  05
Research Guidance: Ph.D.   :  Awarded -      00          Registered - 02
M.Phil. :  Awarded -      01     
Research Projects:   Ongoing       : 01
Completed   : 01
Selected Publications
  1. Prognostication of Student’s Performance: An Hierarchical Clustering Strategy for Educational Dataset. (https://link.springer.com/chapter/10.1007/978-81-322-2734-2_16)
  2. Financial Series Forecasting Using Dual Rough Support Vector Regression (https://link.springer.com/chapter/10.1007/978-1-4471-2760-4_7)
  3. Comparing Clustering Schemes at Two Levels of Granularity for Mobile Call Mining ( https://link.springer.com/chapter/10.1007/978-3-642-24425-4_87)
Resource Person:
Guest Lectures:  02
Positions Held:
Academics: Member - BoS SRTM University Nanded and  BoS Dr.B.A.M University, Aurangabad for the board in Computer Sci / Applications, Member- In House NAAC committee (2014)
Administration: I/C Head of Computer Application - School of Computational Sci, SRTMUN
Extension/Outreach Activities: Beside IT/ICT Infrastructure development suggestions, no Significant Extension activities
Honors /Awards received: DST Fellowship under YS for International Travel to Germany, Best Paper Award, University of Hyderabad, Hyderabad
Programs organized/attended: 
Seminars/Conferences/Workshops etc attended:   20

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