Email : firstname.lastname@example.org
Address : Faculty Room, Dept. of Computer Science & Engineering, Aliah University, Kolkata New Town Campus, IIA/27 New Town, Kolkata-700160, India
Room No : 5th Floor Faculty room
Joined : September, 2019
Dr. Nashreen Nesa, is an Assistant Professor in the Department of Computer Science & Engineering. Dr. Nesa has completed her PhD from Indian Institute of Engineering Science and Technology (IIEST) Shibpur in the area of Multisensor data fusion in Internet of Things Applications. She specializes in the field of Internet of Things and Wireless Sensor Networks, Machine Learning, Cyber Physical System. She has published several papers in international conferences and reputed journals.
Any student interested in working with me may send their latest C.V. at email@example.com. I am looking for motivated and interested Ph.D. candidates in the research areas of IoT/ WSN/ Data Analytics/ Machine Learning/ Cyber Physical System.
Internet of Things (IoT), Wireless Sensor Networks (WSN), Machine Learning, Cyber Physical System
Data Analytics in Internet of Things (IoT) and Wireless Sensor Networks (WSN)
2018: Nashreen Nesa, Tania Ghosh, and Indrajit Banerjee. “Outlier Detection in Sensed Data using Statistical Learning Models for IoT."in IEEE Wireless Communications and Networking Conference in Barcelona, Spain on 15-18 April 2018.
2018: Nashreen Nesa and Indrajit Banerjee, “On Detecting Freezing-of-Gait Through Sensor Data Fusion Using Evidence Theory" in the 15th IEEE India Council International Conference (INDICON 2018) held in Coimbatore, India on 16-18 December, 2018.
2016: Munmun Bhattacharya and Nashreen Nesa. “Study on Theoretical Aspects of Virtual Data Integration and its Applications" Vol. 6 - Issue 2 (February - 2016), International Journal of Engineering Research and Applications (IJERA),ISSN: 2248-9622.
2016: Munmun Bhattacharya and Nashreen Nesa. “An Algorithm for Predicting Local Trust based on Trust Propagation in Online Social Networks". International Journal of Computer Applications 156(7):8-15, (December 2016).
2017: Nashreen Nesa and Indrajit Banerjee, “IoT-based Sensor Data Fusion for Occupancy Sensing using Dempster-Shafer Evidence Theory for Smart Buildings". IEEE Internet of Things Journal(2017) vol. 4, no. 5, (October 2017).
2017: Nashreen Nesa, Tania Ghosh, and Indrajit Banerjee. “Non-parametric sequence-based learning approach for outlier detection in IoT." Future Generation Computer Systems (Elsevier) Volume 82, 2018, pages 412-421, issn 0167-739X.
2018: Nashreen Nesa, Tania Ghosh and Indrajit Banerjee, “iGRM :Improved Grey Relational Model and its ensembles for Occupancy Sensing in Internet of Things Applications" ACM Transactions onKnowledge Discovery from Data Vol. 12, No. 4, Article 47 April 2018.
2018: Nashreen Nesa and Indrajit Banerjee, “SensorRank: An Energy Efficient Sensor Activation Algorithm for Sensor Data Fusion in Wireless Networks" IEEE Internet of Things Journal vol.6, issue 2, April 2019, pages 2532 - 2539.
2019: Nashreen Nesa, Tania Ghosh and Indrajit Banerjee, “Design of a Chaos-based Encryption Scheme using a Novel Logarithmic Chaotic Map" in Journal of Information Security and Applications (Elsevier), vol.47, June 2019, pages 320-328, issn 2214-2126.
2020: Nashreen Nesa and Indrajit Banerjee, “Combining Merkle Hash Tree and Chaotic Cryptography for Secure Data Fusion in IoT. Trans. Comput. Sci. 35: 85-105 (2020) https://doi.org/10.1007/978-3-662-61092-3_5
2020: Nashreen Nesa and Indrajit Banerjee, “A Lightweight Security Protocol for IoT Using Merkle Hash Tree and Chaotic Cryptography" in Chaki R., Cortesi A., Saeed K., Chaki N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 996. Springer, Singapore.