Bheeshm Sharma

M.Sc.-Ph.D.(2020-present)

Industrial Engineering and Operations Research, IIT Bombay

Email: bheeshmsharma@iitb.ac.in, bheeshmsharma12345678@gmail.com

Academic Background:

B.Sc. Mathematics M. S. J. College, Bharatpur , 2017-20

Position of Responsibility:

• Department Coordinator(M.Sc.) at ISCP 2021-22.
• Outreach Manager at TCAAI 2021-2022.
• Competition Coordinator for IEOR Day 2021, IEOR Department, IIT Bombay.
• Advisor for IEOR Day 2025, IEOR Department, IIT Bombay.

Seminar: Games with Incomplete Information Played by ”Bayesian” Players, under the guidance of Prof. Balamurugan Palaniappan.

MScPhD Research Project I:  3D Bio-Medical Image Segmentation using Deep learning convolution networks, under the guidance of Prof. Balamurugan Palaniappan.

MScPhD Research Project II:  Bio-Medical 3D Volumetric data Synthesis and Classification using Deep Generative Networks, under the guidance of Prof. Balamurugan Palaniappan.

Publication:

• Bheeshm Sharma, Karthikeyan Jaganathan, Balamurugan Palaniappan, RASALoRE: Region Aware Spatial Attention with Location-based Random Embeddings for Weakly Supervised Anomaly Detection in Brain MRI Scans, The 36th British Machine Vision Conference, 24th - 27th November 2025, Sheffield, UK.
• Bheeshm Sharma, P. Balamurugan, PB-FELTuCS: Patch-Based Filtering for Enhanced Liver Tumor Classification and Segmentation, In the International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023).
• Vivek Kumar Trivedi, Bheeshm Sharma, P. Balamurugan, MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI, in the 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2024).

Workshop and Exhibition:

• Attended "Medical Image Computing Workshop" at the Indian Institute of Science "(IISc)" during Feb 24-25, 2023.
• Showcased our work at "Techconnect" , a segment of Asia's largest technical festival, "Techfest at IIT Bombay in 2022 and 2023" .

Teaching Assistant:

• IE 643: Deep Learning: Theory and Practice(July-Nov 2022, July-Nov 2023, July-Nov 2024, July-Nov 2025)
• IE 663: Advanced Topics in Deep Learning(Jan-April 2023)
• IE 506: Machine Learning: Principles and Techniques(Jan-April 2024, Jan-April 2025)

Courses:

• Autumn 2020
  • IE 501: Optimization Models
  • IE 503: Operations Analysis
  • IE 507: Modeling and Computation Lab
  • IE 509: Computer Programming Lab
  • IE 605: Engineering Statistics
  • IE 621: Probability & Stochastic Processes I

• Spring 2021
  • IE 899: Communication Skills
  • IE 614: Linear System
  • IE 616: Decision Analysis & Game Theory
  • IE 622: Probability & Stochastic Processes II
  • IE 630: Simulation Modeling & Analysis
  • IE 684: IEOR Lab
  • IES 601: Seminar

• Autumn 2021
  • IE 609: Mathematical Optimisation Techniques
  • IE 643: Deep Learning: Theory and Practice
  • CS 725: Foundations of Machine Learning
  • IE 685: MScPhD Research Project 1
  • HS 101: Economics

• Spring 2022
  • IE 683: Topics in Learning Algorithms
  • IE 716: Integer Programming: Theory and Computations
  • IE 617: Online Machine Learning and Bandit Algorithms
  • IE 686: MScPhD Research Project 2

• Autumn 2022
  • IE 802: Topics in IE & OR