Rohan Mukherjee

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Rohan Mukherjee

Education : MS-PhD (IIT Kharagpur)

Specialization : Management Information Systems and Analytics

Area of Interest : Digital Transformation and Artificial Intelligence

Designation : Associate Professor ; Area Chair - Management Information Systems & Analytics

Email: r.mukherjee@imi-k.edu.in

About Rohan Mukherjee

Dr. Rohan Mukherjee has completed his MS and PhD from Indian Institute of Technology Kharagpur in the domain of visual information processing and system design. He has also post-doctoral research experience in cutting-edge approaches of Machine Learning and AI. Prior to joining IMI Kolkata, he has worked at IIM Bodh Gaya, IIM Jammu and Goa Institute of Management. Rohan has published consistently in reputed journals and IEEE conferences in his area of expertise. His current research interest includes data analytics and machine learning and their application in business. Apart from regular teaching and research, Rohan has designed a few long-term and short executive programs with EdTech partners.

  • Nanda Choudhury, Rohan Mukherjee, Rambalak Yadav, Yang Liu, Wei Wang, “Can machine learning approaches predict green purchase intention?-A study from Indian consumer perspective”, Journal of Cleaner Production, 456, Elsevier (2024) (Q1, Scopus, ABDC: A, Impact Factor: 9.8)
  • Dipshikha Podder, Rohan Mukherjee, Gourishankar Hiremath, “Can Deep-Learning Models Predict Behavior of Treasury Bond Yields”, Computational Economics, (Accepted), Springer (2025), (Q2, Scopus, ABDC: B, Impact Factor: 1.9)
  • Abisek Dahal, Soumen Moulik, Rohan Mukherjee, “Stack-HAR: Complex Human Activity Recognition with Stacking-based Ensemble Learning Framework”, IEEE Sensors Journal, IEEE (2025), (Q1, Scopus, Impact Factor: 4.3)
  • Abisek Dahal, Soumen Moulik, Rohan Mukherjee, “FeL-MAR: Federated learning based multi resident activity recognition in IoT enabled smart homes”, Future Generation Computer Systems, 163, Elsevier (2025) (Q1, Scopus, Impact Factor: 6.2)
  • Vinit Ghosh, Rohan Mukherjee, Yang Liu, Satwik Upadhyay, Amit Puniyani, “The Evolution of Global Smart Systems and Future Technologies in Human Resource Management Systems: Novel Implications for Sustainable Development Goals”, Journal of Global Information Management (JGIM), 32(1), IGI-Global (2024), (Q2, Scopus, ABDC: A, Impact Factor: 4.7)
  • Sabyasachi Mohapatra, Rohan Mukherjee, Anirban Sengupta, Nicholas Apergies, “Exploring Predictive Prowess of Ensemble Machine Learning Models in Banking Stocks-A Technical, Fundamental and Macroeconomic Approach”, IIMB Management Review, (Accepted), (Q3, Scopus, ABDC: B, Impact Factor: 1.7)
  • Gaurav Kabra, Vinit Ghosh, Rohan Mukherjee, “Discovering Latent Topics and Trends in Digital Technologies and Disaster Management Research: A Structural Topic Modeling Approach”, Engineering Management Journal, (Accepted), May 2024 (Q1, Scopus, Impact Factor: 2.7)
  • Vaseem Akram, Rohan Mukherjee, “Housing price convergence: New evidence from Indian cities”, Journal of Economic Studies, 51(2) June 2024, (Q1, Scopus, ABDC B)
  • Chandan Pan, Arnab Poddar, Rohan Mukherjee, Ajoy Kumar Ray, “Impact of categorical and numerical features in ensemble machine learning frameworks for heart disease prediction”, Biomedical Signal Processing and Control, 76: 103666, Elsevier (2022) (Q1, Scopus, Impact Factor: 5.076)
  • Sabyasachi Mohapatra, Rohan Mukherjee, Arindam Roy, Anirban Sengupta, Amit Puniyani, “Can Ensemble Machine Learning Methods Predict Stock Returns for Indian Banks Using Technical Indicators?”, Journal of Risk and Financial Management, 15(8), 350, (2022) (Q3, Scopus, ABDC: B)
  • Rohan Mukherjee, Baishik Biswas, Indubu Gaana Vinod, “Half-Way Stop Adaptive Pattern Search Algorithm for Motion Estimation and Dedicated VLSI Architecture”, Circuits, Systems, and Signal Processing, 1-22, Springer (2022) (Q2, Scopus, Impact Factor: 2.311)
  • 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, 101, Elsevier (2020) (Q1, Scopus, ABS: 3, Impact Factor: 8.665)
  • Rohan Mukherjee, Priyabrata Saha, 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) (Q1, Scopus, ABS: 3, Impact Factor: 8.665)
  • 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) (Q2, Scopus, Impact Factor: 2.311)
  • 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) (Q2, Scopus, Impact Factor: 2.311)
  • 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) (Q2, Scopus, Impact Factor: 3.503)
  • 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) (Q3 Scopus, Impact Factor: 1.278)
  • 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, 303-309 (2016) Q3 Scopus, Impact Factor: 0.3)
  • 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) (Q2 Scopus, Impact Factor: 2.311)
  • 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) (Q2 Scopus, Impact Factor: 3.503)
  • Arindam Roy, Rohan Mukherjee, Soumen Moulik, Amitabha Chakrabarti, “Human Fall Prediction Using Ensemble Learning Technique”, 2022 IEEE International Conference on Consumer Electronics, July. 2022, Taiwan.
  • Rohan Mukherjee, Amit Puniyani, “A Fast Adaptive Algorithm for Sub-Pixel Motion Estimation”, 2022 IEEE TENSYMP, July. 2022, IIT-Bombay, India.
  • 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, 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, 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.
  • System for Motion Estimation in Video Signals for Real Time Video Processing
  • System for efficient VLSI architectures for adaptive motion estimation
  • Business Analytics
  • Research Methodology for Management
  • Digital Transformation
  • Digital Business Models
  • Marketing Analytics
  • Healthcare Analytics
  • Advanced Business Analytics
  • Information Technology and & Systems
  • Business Intelligence and Data Modelling
  • Statistics for Analytics
  • Mathematical Models for Management
  • Program Director of Executive Program in HR Analytics (IMI Kolkata)
  • Program Director of Executive Program in Data-Driven Decision Making (IMI Kolkata)
  • Program Director of Executive Certificate Program in Artificial Intelligence and Machine Learning for Business (IIM Bodh Gaya)
  • Program Director of Executive Programme for Machine Learning and AI for Business) (IIM Jammu)
  • Program Director of Management Development Program on Data Analytics and Machine Learning with Python (Goa Institute of Management)

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