Rajarambapu Institute of Technology, Rajaramnagar, MS, India

E-mail: manesandip82@gmail.com

Research Interest:

1. Evolutionary Optimization Algorithms and its Parallelization
2. Multi-objective Optimization Problems
3. Data Mining and Analytics

1. Mane, Sandeep U., Amol C. Adamuthe, and Aprupa S. Pawar. "GPGPU based Multi-hive ABC Algorithm for Constrained Global Optimization Problems.", EAI Endorsed Transactions on Energy Web 7 (28), 1-9.
2. Sandeep U. Mane, M. R. Narsingrao and Vrushali C. Patil, “ A many-objective Jaya algorithm for many-objective optimization problems”, Decision Science Letters, (Available online) DOI: 10.5267/j.dsl.2017.11.001 (H index: 9, Scopus Indexed).
3. Mane, S. U., and Narasinga Rao, M. R. “Many-Objective Optimization: Problems and Evolutionary Algorithms–A Short Review.” International Journal of Applied Engineering Research, 12(20), 9774-9793 (2017). (H index: 35, Scopus Indexed)
4.  S. V. Kamble, S. U. Mane, A. J. Umbarkar, "Hybrid Multi-Objective Particle Swarm Optimization for Flexible Job Shop Scheduling Problem", IJISA, vol.7, no.4, pp.54-61, 2015. DOI: 10.5815/ijisa.2015.04.08 (IF: 0.1).
5. Sandeep U. Mane, Monica R. Pethkar and Pradynarani K. Mahind, “Overview and Applications of Particle Swarm Optimization on GPGPU”, International Journal of Computer Applications, Volume 105 No. 6, Page(s):27-32, Nov. 2014. Published by Foundation of Computer Science, New York, USA, ISBN: 973-93-80883-51-5, DOI - 10.5120/18383-9623 (IF: 0.791).

International Conferences

1. Sandeep U. Mane and M. R. Narsingarao, “Large Scale Compute Intensive Constrained Optimization Problems: GPGPU-based Approach”, In Proceedings of the International Conference on Soft Computing: Theories and Applications (SoCTA2017) – (22 - 24 December 2017) held at Institute of Engineering & Technology of Bundelkhand University Jhansi, Uttar Pradesh, INDIA., Publisher: Springer (Scopus Indexed).

2.  Sandeep U. Mane and Ketaki H. Pangu, “Disease Diagnosis Using Pattern Matching Algorithm from DNA Sequencing: a Sequential and GPGPU based Approach”, In Proceedings of the International Conference on Informatics and Analytics (ICIA-16), ISBN 978-1-4503-4756-3/16/08. DOI: http://dx.doi.org/10.1145/2980258.2980392, August 2016, PP. 58:1-58:5, Publisher: ACM Digital Library (Scopus Indexed).

3.  Sandeep U. Mane, Rajashree Omane and Aprupa Pawar, “GPGPU based Teaching Learning based Optimization and Artificial Bee Colony Algorithm for Unconstrained Optimization Problems”, 2015 IEEE International Advance Computing Conference (IACC), 978-1-4799-8047-5/15/2015 IEEE, PP. 1056 -1061. DOI: 10.1109/IADCC.2015.7154866, June 2015(Scopus Indexed).

4.  Kadam S. U. and Mane S. U. , “A Genetic-Local Search Algorithm Approach for Resource Constrained Project Scheduling Problem”, In IEEE International Conference on Computing Communication Control and Automation (ICCUBEA), February 2015, PP. 841-846. DOI: 10.1109/ICCUBEA.2015.168 (Scopus Indexed).

1. Member IQAC, Rajarambapu Institute of Technology, Rajaramnagar (Dist. Sangli)
2. Member, National Advisory Committee, International Conference on Ubiquitous Computing 2017, Sinhgad College of Engineering, Vadgaon (Bk.), Pune, 19th - 20th June 2017.
3. Organizing committee member for National Level Workshop (Under TEQIP - II) On Effective Implementation Of NAAC Criteria, 10th - 11th March, 2017, Organized by Internal Quality Assurance Cell, Rajarambapu Institute of Technology, Rajaramnagar.
4. Coordinator, One week Faculty Development Program on “Parallel Algorithms and Programming” Under TEQIP-II and In Association with GPU Education Center, at Dept. of CSE RIT Sakharale from 18 to 23, March 2016.
5. Organizing committee member for International conference on Computing, Communication & Energy Systems organized by RIT in association with IET on 29-30 January 2016.