Pavithr Rajanampalle is an Assistant Professor in the department of Physics and Computer Science, Faculty of Science, Dayalbagh Educational Institute, Agra, India. Prior to DEI, He served as Head-IT Enabled Services and Head-Department of Computer Science and Engineering, Sharda Group of Institutions, Agra, India. Before joining into academics, he served over a decade in U.S.A for some of the major international players in Information Technology industry including, IBM U.S.A, PwC U.S.A and other Big-4 consulting firms providing software and business transformation solutions to large and complex business applications for fortune 500 organizations. During his association with IBM-U.S.A, He worked as a Systems Engineer and Systems Integration Project Manager in Systems engineering, Architecture and Test Centre of Excellence, where he implemented systems Engineering methodologies for some of the complex business systems and project management methodologies for establishing PMO. He also conducted several method adoption workshops for value based software systems engineering to various fortune 500 organizations. He was acknowledged with IBM STAR Performer recognition award for 2003 and C&L / PwC Best performer recognition award for the years 1999, 2000 and 2001. Along with the strong and successful industry experience, he has a special interest for teaching and research. His research interests are Value based software engineering, Social Web Engineering, Big Data Analytics, Machine Learning, Social Evolution, Swarm Intelligence and Evolutionary Algorithms. He also published few research papers in reputed international Journals and conferences. He was also awarded with the best innovative paper award for his concept paper on “an Evolutionary Algorithm inspired by Social Evolution”.

1. Teaching Assignments:

Design and Analysis of Algorithms, Introduction to Soft Computing, Applied Machine Learning, Principles of Internet of Things, Engineering Enterprise Systems, Management Information Systems, Object Oriented Programming in Java and Computer Networks

2. Area(s) of Research:

• Nature Inspired Computing
• Quantitative Software Engineering,
• Machine Learning and Big Data Analytics

3. Research Interests:

• Swarm and Evolutionary Algorithms,
• Quantum Inspired Evolutionary Algorithms,
• Social Evolution,
• Search Based Software Engineering and
• Education Technologies and Learning Analytics

4. Honors and Recognitions:

Awards:

• Best Innovative Paper Award for"Social Evolution: An Evolutionary Algorithm Inspired by Human Interactions", in Proc. SocProS, 2012, pp.1537-1544.

Invited Talks:

• R.S.Pavithr: Quantum Inspired Social Evolution (QSE) algorithm. Indo-German Workshop on Algorithmic Engineering, Dayalbagh Educational Institute, India, 2015.
• Delivered invited talk on “Evaluation Reforms in Higher Education Institutions in India- Recommendations” organized by UGC for university Directors and the Registrars, Bangalore, July 29-30,2019
• Delivered invited talk on “Evaluation Reforms in Higher Education Institutions in India- Recommendations” organized by UGC for university Directors and the Registrars, Pune, August 19-20,2019
• Delivered invited talk on “Evaluation Reforms in Higher Education Institutions in India- Recommendations” organized by UGC for university Directors and the Registrars, Bhopal, October 24-25, 2019.
• Delivered invited talk on “Evaluation Reforms in Higher Education Institutions in India- Recommendations” organized by UGC for university Directors and the Registrars, Guwahati, November 4-5, 2019.

5. Selected Publications:

• V. Subbarao, K. Srinivas and R. S. Pavithr, " IBEECP: Improved Biogeography Optimization Based Energy Efficient Clustering Protocol for Wireless Sensor Networks," ICCS -2019 International Conference at NIT, Kurukeshtra, India, 2019.
• V. Subbarao, K. Srinivas and R. S. Pavithr, "A SURVEY ON INTERNET OF THINGS BASED SMART, DIGITAL GREEN AND INTELLIGENT CAMPUS," 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India, 2019, pp. 1-6.doi: 10.1109/IoT-SIU.2019.8777476
• R.S.Pavithr, Gursaran: Quantum Inspired Social Evolution (QSE) algorithm for 0-1 knapsack problem. Swarm and Evolutionary Computation 29: 33-46 (2016)
• Singhal, Ankit and R. S. Pavithr. “Degree Certificate Authentication using QR Code and Smartphone.” (2015).  International Journal of Computer Applications, DOI:10.5120/21315-4303
• Pavithr, R.S., Gursaran: A Random search and Greedy selection based Genetic Quantum Algorithm for combinatorial optimization. In IEEE Congress on Evolutionary Computation(2013)2422-2427
• Binathi, B.; Pavithr, R.S., "An experimental study of Genetic Algorithm for spectrum optimization in Cognitive Radio Networks," Electrical, Electronics and Computer Science (SCEECS), 2014 IEEE Students' Conference on, vol., no., pp.1,4, 1-2 March 2014
• R.S. Pavithr and Gursaran,   "Social Evolution: An Evolutionary Algorithm Inspired by Human Interactions", in Proc. SocProS, 2012, pp.1537-1544.
• Pavithr, R.S.; Garg, A., ETMQ: A novel objective function of automatic clustering of software intensive systems, India Conference (INDICON), 2011 Annual IEEE.