Sanghamitra De

Assistant Professor

Computer Science & Engineering | CSE

Academic Information

 

Ph.D.: Ongoing

MBA (Finance): Indira Gandhi National Open University (IGNOU), 2015

M.Tech.: (Computer Technology) Jadavpur University, 2011

B.Tech.: (Computer Science & Engineering) West Bengal University of Technology, 2006

Diploma:(Computer Science Technology) West Bengal State Council of Technical Education, 2003

Area of Specialization

 

Network Security and Information Security Management Systems

Experience

Research

3.5 years

Teaching

11 years

Industry

1.5 years

Date of Joining

01-08-2016

Date of Assign as Prof. / A.P

Computer Networks (Theory & Lab)

Artificial Intelligence (Theory & Lab)

Cloud Computing (Theory)

Data Structure & Algorithm (Theory & Lab)

Design and Analysis of Algorithms (Theory & Lab)

Internet Technology (Theory & Lab)

Basic Computation & Principles of Computer Programming (Lab)

ERP (Theory)

E-Commerce (Theory)

Pattern Recognition (Theory)

Computer Organization (Theory & Lab)

Software Engineering (Theory & Lab)

 

 

Publications

  1. De, S., Barik, M.S. & Banerjee, I. Impact Estimation of Security Attack and Mitigation Strategy using Goal-Based Threat Modeling in a Peer-to-Peer Cloud System. Inst. Eng. India Ser. B (2022). https://doi.org/10.1007/s40031-022-00775-x
  2. Tirthankar Sengupta, Sanghamitra De and Indrajit Banerjee,A Closeness Centrality Based P2P Botnet Detection Approach Using Deep Learning. In Proceedings of the 12th International Conference On Computing, Communication and Networking Technologies (ICCCNT), July 2021
  3. De, S., Barik, M. S., & Banerjee, I. (2020, February). A Digital Forensic Process Model for Cloud Computing. In 2020 IEEE Calcutta Conference (CALCON) (pp. 106-110). IEEE. DOI: 10.1109/CALCON49167.2020.9106478
  4. De, S., Barik, M. S., & Banerjee, I. (2019, January). A percolation-based recovery mechanism for bot infected P2P cloud. In Proceedings of the 20th International Conference on Distributed Computing and Networking ICDCN, (pp. 474-479). ACM.doi: 10.1145/3288599.3295597
  5. Soumyojit Roy, Abhishek Guha, Aritra Mitra, Anurag Basu& Sanghamitra De. A prototype for a Municipality Waste Collection Management Information System, International Conference Sustainability Development – A Value Chain Perspective, (SDVP) Sept 7- 8, 2018 Management Development Institute (MDI), Murshidabad.
  6. Bharvada Harsh, Agarwal Sourav, Upadhyay Amitesh Kumar and De Sanghamitra. Analysis of some Macro-economic indicators using Graph Metrics, International Conference on Discrete Mathematics and its Applications to Network Science, (ICDMANS) July 7 – 10, 2018.
  7. De, M.S. Barik and I. Banerjee, Goal based Threat Modeling for Peer-to-Peer Cloud, Procedia Computer Science 2016, Vol. 89: 64-72, doi: 10.1016/j.procs.2016.06.010, Twelfth International Multi Conference on Information Processing (IMCIP 2016).

 

 

Professional Member: Association of Computing Machinery (ACM)

Member: Institute of Electrical and Electronics Engineers (IEEE), Member ID# 94818037

Member: Internet Society (ISOC)- # 74989

Participated

  1. Numerical & Statistical Methods using Software Tools (CU-21) : AY 2017-18
  2. 5-day FDP on Deep Learning & its usability through hardware interactions , 2019
  3. Online ATAL FDP on Cyber Security” from 2020-10-5 to 2020-10-9 at Government Engineering College, Hassan, Karnataka
  4. Online 3 day FDP on Effective Teaching & Learning from 6-8 September, 2021
  5. AICTE Workshop on UHV 26-30 July 2021
  6. FDP on Design Direct & Indirect Assessment Tools, NITTTR, 2022
  7. FDP on Artificial Intelligence in Advanced Machine Learning and Cloud Computing, 2023

 

 

UG Projects Guided

  1. Analysis of Some Macro Economic Indicator Using Graph Metrics
  2. Municipality Waste Collection Management Information System.
  3. Analysis of Economic growth patterns.
  4. Development of an interactive intelligent agent.
  5. Data and Algorithm Visualization.
  6. E-Classroom Management System.
  7. Comparative Study between Traditional and Advanced Steganographic Techniques.
  8. Statistical Analysis of Malware Using Machine Learning.
  9. Machine Learning Analysis on Epidemic Data.
  10. Training and Placement Cell Management System.
  11. Implementation of Custom Routing Algorithm in Cloud.
  12. Tiny Habits: A Tourism Management System.
  13. Curve Fitting Models (Sigmoidal Functions) for Predictive Analysis Using COVID-19 Data.
  14. Online Marketplace.