Anupam Mukherjee
Voice: (91) 9477175422
Email: anupamsit@gmail.com
CONTACT INFORMATION
HOD & Assistant Professor
Department of Computer Science & Engineering
SILIGURI INSTITUTE OF TECHNOLOGY
DOJ - 01-09-2006
ACADEMIC QUALIFICATIONS
Pursuing PhD in Computer Science & Engg.|2019 - Present
Maulana Abul Kalam Azad University of Technology, West Bengal
M.Tech (Master of Technology) in Computer Science & Engg.
Meghnad Saha Institute of Technology, West Bengal
2011 – 2013 | DGPA : 9.54 (University Rank : 3rd)
B.Tech (Bachelor of Technology) in Computer Science & Engg., Netaji Subhash Engineering College, West Bengal.
2002 – 2006 | DGPA : 8.03
COURSES TAUGHT
Computer Networking
Research Methodology
Multimedia Technology
Operating System
Internet Technology
EXPERIENCES
Assistant Professor, Siliguri Institute of Technology, Siliguri - 2006 - Till date
MEMBERSHIP
Member of IEEE, USA (Membership No. 94274310)
Honorary BOS member of INDO-EUROPEAN Scientific Research Group, London. (BOS/KOL/WB/0038)
Member of the International Association of Engineers (IAENG), Hong Kong (Membership no.- 184555)
PUBLICATIONS
PEER-REVIEWED PUBLICATIONS IN JOURNALS
Anupam Mukherjee, Sourav De, Siddhartha Bhattacharyya, “A Survey on Big Data: An Emerging Imparity and Revolution in Digital World”, International Journal of Hybrid Intelligence (IJHI), 2019. DOI: 10.1504/IJHI.2019.103575
Anupam Mukherjee, “Content Based Image Retrieval using GLCM”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 4, Issue 11, November 2016
Mithun Roy, Anupam Mukherjee, “SOLVING LINEAR EQUATIONS FROM AN IMAGE USING ANN”, Published in JRET: International Journal of Research in Engineering and Technology, eISSN: 2319-1163|pISSN:2321-7308. Accepted and published in Volume: 04 Issue:02 | Feb-2015, pp 580-586.
Anupam Mukherjee, Debaditya Kundu, “Motion analysis in video surveillance using edge detection techniques”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 12, Issue 3 (Jul. - Aug. 2013), PP 01-05
BOOK CHAPTERS
Anupam Mukherjee, Anupam Ghosh (2022). Predictive Geospatial Crime Data Analysis and Their Association with Demographic Features Through Machine Learning Approaches. In: Das, A.K., Nayak, J., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2022. Lecture Notes in Networks and Systems, vol 480. Springer, Singapore. https://doi.org/10.1007/978-981-19-3089-8_52
Anupam Mukherjee, Anupam Ghosh (2020). Heterogeneous Decomposition of Predictive Modeling Approach on Crime Dataset Using Machine Learning. In: Dawn S., Balas V., Esposito A., Gope S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_116
Anupam Mukherjee, “Intelligent Analysis of Multimedia Information”, ISBN13: 9781522504986|ISBN10: 1522504982|EISBN13: 9781522504993|DOI: 10.4018/978-1-5225-0498-, Chapter 5: Retrieval of Multimedia Information Using Content Based Image Retrieval (CBIR) Techniques
CONFERENCE PUBLICATIONS
Sumit Banik, Sagar Banik, Aniket Ghosh, Anupam Mukherjee, “Probabilistic Estimation of COVID19 using Patient’s Symptoms”, International Conference on Machine Intelligence & Data Science Applications (MIDAS 2020), University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand 248007. India, September 2020, DOI: 10.1007/978-981-15-9873-9
Anupam Mukherjee, Anupam Ghosh, “Heterogeneous Decomposition of Predictive Modeling Approach on Crime Dataset Using Machine Learning”, International Conference on Innovation in Modern Science and Technology (ICIMSAT 2019), 20-21 September 2019.
Anupam Mukherjee, Sourav De, Siddthartha Bhattacharyya, “Chicago Crime Data Analysis Using PIG in Hadoop”, 4th IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN 2018), https://ieeexplore.ieee.org/document/8718725
Anupam Mukherjee, Sourav De and Siddhartha Bhattacharyya, “Indian Crime Data Analysis in Hadoop Framework”, 7th International Conference on Computing, Communication and Sensor Network (CCSN 2018), 2018.
AREA OF RESEARCH INTEREST
Machine Learning
Data Analytics
Soft Computing
Pattern Recognition
Image processing.
ACHIEVEMENTS & REWARDS
NPTEL BELIEVERS (Jan - Dec 2020)
Participate as a teaching assistant in ISTE workshop conducted by IIT Bombay on “Cyber security”
Successfully completed the 8 week faculty development program (FDP) on “Introduction to Research” conducted by IIT Madras (January – March 2020) [NPTEL Course]
Successfully completed the 8 week faculty development program (FDP) on “Understanding Research Methods” conducted by University of London (16th September 2020) [Coursera]
Successfully completed the 12 week faculty development program (FDP) on “Introduction to Machine Learning” conducted by IIT Madras (January – April 2020) [NPTEL Course]
Successfully completed the 8 week faculty development program (FDP) on “Introduction To Soft Computing” conducted by IIT Kharagpur (January – March 2020) [NPTEL Course]
Participated in AICTE ATAL FDP on “Cyber Security” conducted by NITTTR Chandigarh (14th to 18th May, 2020)
Participated in a Short Term Training Programme on “Numerical and Statistical Methods with PYTHON” organized by National Institute of Technical Teachers’ Training and Research (NITTTR), Kolkata from April 27 to May 1, 2020.
Successfully completed the 11 week Course on “Machine Learning” conducted by Stanford on 12th March 2020. [Coursera]