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 : 3^rd)

• 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

1. 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

2. Anupam Mukherjee, “Content Based Image Retrieval using GLCM”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 4, Issue 11, November 2016

3. 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.

4. 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

1. 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

2. 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

3. 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

1. 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

2. 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.

3. 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

4. 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

1. Machine Learning

2. Data Analytics

3. Soft Computing

4. Pattern Recognition

5. Image processing.

ACHIEVEMENTS & REWARDS

1. NPTEL BELIEVERS (Jan - Dec 2020)

2. Participate as a teaching assistant in ISTE workshop conducted by IIT Bombay on “Cyber security”

3. Successfully completed the 8 week faculty development program (FDP) on “Introduction to Research” conducted by IIT Madras (January – March 2020) [NPTEL Course]

4. Successfully completed the 8 week faculty development program (FDP) on “Understanding Research Methods” conducted by University of London (16th September 2020) [Coursera]

5. Successfully completed the 12 week faculty development program (FDP) on “Introduction to Machine Learning” conducted by IIT Madras (January – April 2020) [NPTEL Course]

6. Successfully completed the 8 week faculty development program (FDP) on “Introduction To Soft Computing” conducted by IIT Kharagpur (January – March 2020) [NPTEL Course]

7. Participated in AICTE ATAL FDP on “Cyber Security” conducted by NITTTR Chandigarh (14th to 18th May, 2020)

8. 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.

9. Successfully completed the 11 week Course on “Machine Learning” conducted by Stanford on 12th March 2020. [Coursera]