Rohan Mukherjee

Overview:

Rohan Mukherjee is an Assistant Professor in the area of IT & Analytics at Indian Institute of Management Bodh Gaya. He received his M.S. and Ph.D. from Indian Institute of Technology Kharagpur. Prior to joining IIM Bodh Gaya, he was working in IIM Jammu and Goa Institute of Management. During his doctoral program, he worked in the domain of video information processing. His research interest includes data analytics, artificial intelligence, and machine learning. 

Academic background:

• Ph.D. in Video Motion Estimation, Indian Institute of Technology, Kharagpur.
• Master of Science in Visual Information Processing and Embedded Systems, Indian Institute of Technology, Kharagpur.
• Bachelor of Technology in Electronics & Communication Engineering, West Bengal University of Technology.

Affiliations:

• IIM Bodh Gaya
• IIM Jammu
• Goa Institute of Management

Teaching Interests:

• Statistics for Analytics
• Mathematical Models for Management Decision
• Business Analytics
• Advanced Data Science and Machine Learning
• Business Intelligence and Data Modelling
• Healthcare Analytics

Research Interests:

• Data Analytics
• Artificial Intelligence for Business
• Machine Learning
• Image and Video Analytics

View Research Profile

Executive Programs Conducted:

• Program Director, Executive Programme in Machine Learning & AI for Business (July-Otober, 2021) at IIM Jammu
• Management Development Program on Data Analytics and Machine Learning with Python at Goa Institute of Management (November 2019)

Sponsored Project:

• Body Sensor Networks-based Fall Detection System Using Advanced Learning Algorithms

Patents:

• System for Motion Estimation in Video Signals for Real Time Video Processing: Filed on 20/08/2014 at Patent Office, Kolkata: Application No.:859/KOL/2014
• System for efficient VLSI architectures for adaptive motion estimation: Filed on 30/04/2015 at Patent Office, Kolkata: Application No.:484/KOL/2015

Publications – Journal Articles

• Rohan Mukherjee, Indubu Gaana Vinod, Indrajit Chakrabarti, Pranab Kumar Dutta, Ajoy Kumar Ray, “Hexagon Based Compressed Diamond Algorithm for motion estimation and its dedicated VLSI system for HD videos”, Expert Systems with Applications, 141: 1129-19, Elsevier (2020).
• Rohan Mukherjee, PriyabrataSaha, Indrajit Chakrabarti, Pranab Kumar Dutta, Ajoy Kumar Ray, “Fast adaptive motion estimation algorithm and its efficient VLSI system for high definition videos”, Expert Systems with Applications, 101:159-175, Elsevier (2018).
• Baishik Biswas, Rohan Mukherjee, Indrajit Chakrabarti, Pranab Kumar Dutta, Ajoy Kumar Ray, “A High-Speed VLSI Architecture for Motion Estimation Using Modified Adaptive Rood Pattern Search Algorithm”, Circuits, Systems, and Signal Processing, 37(10): 4548-4567, Springer (2018).
• Rohan Mukherjee, Baishik Biswas, Indrajit Chakrabarti, Pranab Kumar Dutta, Somnath Sengupta, Ajoy Kumar Ray, “Speed-Area Optimized VLSI Architecture of Hexagonal Search Algorithm for Motion Estimation of 512×512 Frames”, Circuits, Systems, and Signal Processing, 36(2): 640-657, Springer (2017).
• Rohan Mukherjee, Baishik Biswas, Indrajit Chakrabarti, Pranab Kumar Dutta, Ajoy Kumar Ray, “Efficient VLSI Design of Adaptive Rood Pattern Search Algorithm for Motion Estimation of High Definition Videos”, Microprocessors and Microsystems, 45:105-114, Elsevier (2016).
• Rohan Mukherjee, Vikrant Mahajan, Indrajit Chakrabarti, Anindya Sundar Dhar, “High Performance VLSI Design of Diamond Search Algorithm for Fast Motion Estimation”, Journal of Circuits, Systems, and Computers, 25(9):1-16, World Scientific (2016).
• Baishik Biswas, Rohan Mukherjee, Priyabrata Saha, Indrajit Chakrabarti, “An Efficient VLSI Architecture of the Enhanced Three Step Search Algorithm”, Journal of The Institution of Engineers (India): Series B, 97(3):303-309, Springer (2016).
• Rohan Mukherjee , Keyur Sheth, Anindya Sundar Dhar, Indrajit Chakrabarti, Somnath Sengupta, “High Performance VLSI Architecture for Three-Step Search Algorithm”, Circuits, Systems, and Signal Processing, 34(5): 1595-1612, Springer (2015).
• Baishik Biswas, Rohan Mukherjee, Indrajit Chakrabarti, “Efficient Architecture of Adaptive Rood Pattern Search Technique for Fast Motion Estimation”, Microprocessors and Microsystems, 39(3):200-209, Elsevier (2015).

Conference Papers:

• Arnab Poddar, Rohan Mukherjee, Jayanta Mukhopadhyay, Prabir Kumar Biswas, “MultiDIAS: A Hierarchical Multi-layered Document Image Annotation System”, 2018 Workshop on Document Analysis and Recognition, ICVGIP, Dec. 2018, India.
• Rohan Mukherjee, Anupam Banerjee, Avirup Maulik, Indrajit Chakrabarti, Pranab Kumar Dutta, Ajoy Kumar Ray, “An efficient VLSI design of CAVLC encoder”, 2017 IEEE TENCON, Nov. 2017, Penang, Malaysia.
• Rohan Mukherjee, Arnab Poddar, Anupam Banerjee, Indrajit Chakrabarti, Pranab Kumar Dutta, Ajoy Kumar Ray, “A High-Speed FPGA-based Implementation of Inverse Integer Transform Algorithm of H. 264”, 2017 IEEE INDICON, Dec. 2017, IIT-Roorkee, India.
• Rohan Mukherjee, Anupam Banerjee, Indrajit Chakrabarti, Pranab Kumar Dutta, Ajoy Kumar Ray, “Efficient VLSI design of CAVLC decoder of H. 264 for HD videos”, 2017 IEEE International Symposium on Embedded Computing and System Design , Dec. 2017, India.
• Rohan Mukherjee,Anupam Banerjee, Indrajit Chakrabarti, Pranab Kumar Dutta, Ajoy Kumar Ray, “An efficient FPGA based implementation of forward integer transform and quantization algorithm of H. 264”, 2016 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics, Aug. 2016, India.
• Baishik Biswas, Rohan Mukherjee, Indrajit Chakrabarti, “Efficient VLSI Architecture for motion estimation using New Three Step Search (NTSS) algorithm”, 2014 IEEE TENCON, Oct. 2014, Bangkok, Thailand.
• Rohan Mukherjee, Indrajit Chakrabarti, Somnath Sengupta, “FPGA Based Implementation of Intra-Prediction Based Encoding of H.264”, 2014 International Conference on VLSI and Signal Processing, IIT-Kharagpur, India.
• Rohan Mukherjee, Vikrant Mahajan, Indrajit Chakrabarti, Somnath Sengupta, “High Performance VLSI Implementation of Context-based Adaptive Variable Length Coding (CAVLC) for H.264 Encoder”, 2013 National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Dec. 2013, IIT-Rajasthan, India.
• Rohan Mukherjee, Elkapelly Sandeep Kumar, Indrajit Chakrabarti, Somnath Sengupta, “VLSI Architecture of Forward and Inverse Quantization Modules of H.264 for HD Transmission”, 2013 IEEE INDICON, Dec. 2013, IIT-Bombay, India.
• Rohan Mukherjee, Vikrant Mahajan, Indrajit Chakrabarti, Somnath Sengupta, “High Performance VLSI Implementation of CAVLC Decoder of H.264/AVC for HD Transmission”, 2013 IEEE INDICON, Dec. 2013, IIT-Bombay, India.
• Rohan Mukherjee, Keyur Sheth, Elkapelly Sandeep Kumar, Indrajit Chakrabarti, Somnath Sengupta, “FPGA based implementation of quantization and its inverse for H. 264 codec”, 2013 IEEE Conference on Information & Communication Technologies, April. 2013, India.
• Rohan Mukherjee, Indrajit Chakrabarti, Somnath Sengupta, “FPGA Based Architectural Implementation of Context-Based Adaptive Variable Length Coding (CAVLC) for H.264/AVC”. 2012 IET International Conference on Information Science and Control Engineering, Dec. 2012, Shenzhen, China.
• Rohan Mukherjee, PandrapragadaDheeraj, Waddi. Hari Prasad, IndrajitChakrabarti, SomnathSengupta, “FPGA Based Pipelined Implementation of Fast 2-D 4×4 Inverse Transform of H.264”. IEEE International Conference on Electrical and Computer Engineering , Dec. 2012, Dhaka, Bangladesh.
• Rohan Mukherjee, Waddi. Hari Prasad, Pandrapragada Dheeraj, Indrajit Chakrabarti, Somnath Sengupta, “High Throughput Pipelined Architecture for Fast 2-D 4×4 Forward Integer Transform of H.264”, 2012 IEEE National Conference on Communications, Kharagpur (NCC), Feb. 2012, IIT-Kharagpur, India.