Designation: Assistant Professor Email: bandita.sahu@bgu.ac.in Area:
Brief Profile
Dr Bandita Sahu is working as an Assistant Professor at School of Applied Sciences at Birla Global University (BGU), Bhubaneswar. Prior joining to BGU Dr. Sahu was an Associate Professor at GIET University, Gunupur, Odisha, India. Dr. Sahu has completed M.Tech from National Institute of Technology (NIT) Rourkela with the thesis title “Energy Efficient SNR based Clustering with Encrypted Data transmission in WSN”. She has obtained her Ph.D from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India on the research topic “Intelligent computing Techniques for Multi-Robot Cooperation ad Path Planning”. Her research area includes intelligent computing, Machine Intelligence, Robotics, Cluster Computing, Fault tolerance etc. She has 18 years of teaching experience in different engineering college and University. To her credit, she has published more than 25 research articles in international journal and conferences. She has guided seven M. Tech Scholar as her research contribution. Dr. Sahu has served as the reviewer of several international journals and conferences and chair of various conferences. Dr. Sahu has been the life member of different technical Societies such as ISTE and IE.
Educational Qualifications
Ph. D.
Ph.D. from Veer Surendra Sai University of Technology (VSSUT), Burla
M.Tech
M.Tech from National Institute of Technology (NIT), Rourkela
B.Tech
B.Tech from Biju Patnaik Technical University (BPUT), Odisha
Others
Gate qualified in the year- 2009,2012,2013,2016
UGC NET qualified in the year- 2015
Academic Experience
2005 -August to 2010
Lecturer, Padmanava College of Engineering, Rourkela
2010-February to 2017
Assistant Professor, Padmanava College of Engineering, Rourkela
Bandita Sahu, Pradipta Kumar Das, and Manas Ranjan Kabat, ” A Modified Cuckoo Search Algorithm implemented with SCA and PSO for Multi-robot Cooperation and Path Planning.” Journal of cognitive system and research (2023), Elsevier, IF-4.561
Bandita Sahu, Pradipta Kumar Das, and Manas Ranjan Kabat, “Multi-robot co-operation for stick carrying application using hybridization of meta-heuristic algorithm.” Mathematics and Computers in Simulation (2022), Elsevier, IF-2.463
Bandita Sahu, Pradipta Kumar Das, and Manas Ranjan Kabat, “Multi-robot cooperation and path planning for stick transporting using improved Q-learning and democratic, robotics PSO”, Journal of Computational Science, Elsevier, SCI, IF-3.986.
Bandita Sahu, Pradipta Kumar Das, and Manas Ranjan Kabat, “Multi-robot cooperationand performance analysis with particle swarm optimization variants. Multimedia Tools and Application (2021). Springer, SCI, IF-2.757.
Bandita Sahu, Pradipta Kumar Das, and Manas Ranjan Kabat, “Prevention of Covid-19 affected patient using multi robot cooperation and Q-learning approach: a solution”. Quality and Quantity (2021). Springer, Scopus, IF-3.022.
Sahu, Lipsita, Rohit Sharma, Ipsita Sahu, Manoja Das, Bandita Sahu, and Raghvendra Kumar. “Efficient detection of Parkinson’s disease using deep learning techniques over medical data.” Expert Systems (2021), Wiley, ESCI, IF-1.546.
B Sahu, Identification of faulty node in Clustered underwater sensor network, International Journal of Research and Analytical Review, 2019, UGC CARE
B Sahu, P. M Khilar, Fault Tolerant SNR Based Cluster in UWSN, International Journal of Computer & Mathematical Sciences, 2017.UGC CARE.
Routray, S. K. Rout and B. Sahu, “Breast Cancer Prediction Using Deep Learning Technique RNN and GRU,” 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA), Gunupur, India, 2022, pp. 1-5, doi: 10.1109/ICCSEA54677.2022.9936383.
Bandita Sahu, Pradipta Kumar Das, and Manas Ranjan Kabat, “Multi-robot Cooperation and Path Planning using Modified Cuckoo Search”, Next Generation of Internet of Things. Lecture Notes in Networks and Systems, Lecture Notes in Networks and System, Springer,(2022), SCOPUS. (press)
Bandita Sahu, Pradipta Kumar Das, and Manas Ranjan Kabat, Raghvendra Kumar, “ Heuristic Based SCA for Twin Robot Cooperation and Path Planning”,
SMARTCYBER-2021, South Korea, Springer, SCOPUS.
Bandita Sahu, Pradipta Kumar Das, and Manas Ranjan Kabat, “Cuckoo Search Applied Path Planning of Twin Robot in Multi-Robot Environment”. Next Generation of Internet of Things. Lecture Notes in Networks and Systems, vol 201. Springer. (2021), SCOPUS.
Bandita Sahu, Priyambada Parida, Ami kumar Parida, Sambit Ku. Mishra, “Energy-Efficient Clustering with Rotational Supporter in WSN. Intelligent and Cloud Computing”. Smart Innovation, Systems and Technologies, vol 153. Springer,(2021) SCOPUS.
Chinmayee Mishra and Bandita Sahu, “Transmission of Encrypted data in WSN: An Implementation of Hybridized RSA-TDES Algorithm,” 2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), (2020), SCOPUS.
Bandita Sahu, Priyambada Parida, Ami kumar Parida, Sambit Ku. Mishra, “Token based data security in inter cluster communication in wireless sensor network,” International Conference on Computer Science, Engineering and Applications (ICCSEA), (2020), SCOPUS.
Bandita Sahu, Pradipta Kumar Das, and Manas Ranjan Kabat, “Twin Robot Cooperation in Multi-Robot Environment: An Applied Q-learning,” 2019 2nd International Conference on Signal Processing and Communication (ICSPC), (2019), SCOPUS.
Sahu, R. Pattnaik, P. Dash and B. panda, “On-Demand Data Transmission in Multi-Hop Cluster in Underwater Sensor Network,” 2018 3rd International Conference for Convergence in Technology (I2CT), 2018, pp. 1-5, SCOPUS.
Sahu, P. Sahu and P. Dash, “Fault Tolerant Dynamic Multi-Hop Clustering in Under Water Sensor Network,” 2018 International Conference on Information Technology (ICIT), IEEE, 2018, pp. 101-105, SCOPUS.
Sahu and P. M. Khilar, “Selective data transmission in SNR based clustered- underwater Wireless sensor network (CUWSN),” 2015 International Conference on Man and Machine Interfacing (MAMI), 2015, pp. 1-4, SCOPUS
Editor Reviewer
Reviewer- TheJournal of Cloud Computing is indexed by the Science Citation Index Expanded/SCIE, Scopus, Inspec,. Springer
