Shyam Mohan

PhD Candidate,
Management Science and Operations,
London Business School,
NW1 4SA
Email: smohan (at) london (dot) edu
Phone: +44-78310 24100

Working papers

Mitigating Disruption Cascades in Supply Chain Networks, with Bakshi. N, under revision for submission to Management Science, Manuscript
Supply Chain Resilience - An Epidemiological Characterization, with Bakshi. N, Manuscript
Correlated Disruptions in Supply Chain Networks, with Bakshi. N and Muthuraman. K

I have served as an in-class teaching assistant for the following courses.

Supply Chain Management (Prof. Jeremie Gallien, 2016)
Project Management (Prof. Bert de Reyck, 2016)
Social Media and Internet Marketing (Prof. Michael Trusov, Elective, Spring 2015)
Operations Management (MBA Core Course, Spring 2014, 2015)
Data, Models and Decisions (MBA Core Course, Autumn 2013, 2014)
Data Analytics for Finance (Masters in Finance, Summer 2014)
Data Analytics for Managers (Executive MBA, Spring 2015)
Managerial Statistics (Executive MBA, Summer 2014)

Doctor of Philosophy, Ph.D., Management Science and Operations, London Business School, 2012 - present
Masters of Engineering in Telecommunications, Dept. of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India, 2010
- I worked with Professor Dr. Anurag Kumar on the stochastic modelling of IEEE 802.15.4 networks, which are commercially known as 'Zigbee’.
Bachelor of Engineering in Electronics and Communications Engineering, Dept. of Electronics and Communications, College of Engineering, Guindy, Anna Universty, Chennai, India, 2008

June 2010 - June 2011: I worked for a year at Cisco Systems in their mobile internet technology group (MIT-G). I was involved in the design and software development of chassis redundancy mechanisms for mobile gateway products.
June 2011 - September 2012: I was a research engineer at CEWiT, IIT Madras Research Park, Chennai. The company works on standardizing LTE, the 4G standard proposed by 3GPP and has entered the stage of deployment. My work involved mathematically modelling power control algorithms in LTE and prediction and estimation of these algorithms in real-time.