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, and 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.
• Bhavesh Sandbhor, Bheeshm Sharma, and Balamurugan Palaniappan, SLaM-DiMM: Shared Latent Modeling for Diffusion-Based Missing Modality Synthesis in Brain MRI Scans, BraTS 2025 Lighthouse Challenge, MICCAI 2025, September 23rd to 27th, 2025, in Daejeon, Republic of Korea.
• Harsh Kavediya, Vighnesh Nayak, Bheeshm Sharma, and Balamurugan Palaniappan, IsoSignVid2Aud: Sign Language Video to Audio Conversion without Text Intermediaries, The 5th International Conference of the AI-ML Systems, October 8th to 11th, 2025, Bangalore, India.
• Vivek Kumar Trivedi, Bheeshm Sharma, and 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, October 26th to 28th, 2024, Shanghai, China (CISP-BMEI 2024).
• 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, December 9-10, 2023, Cambridge, UK (MICAD 2023).

Workshop and Exhibition:

• Attended the "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