Vikky Masih

Research Scholar,

Data Science and Artificial Intelligence, IIT Guwahati.

About Me

I am a passionate research scholar dedicated to exploring the transformative fields of Data Science and Artificial Intelligence at IIT Guwahati. As a Ph.D. candidate, my core objective is to leverage soft-computing tools to address and resolve complex real-life problems.

My research is primarily focused on cutting-edge applications within Next Generation Wireless Technologies, Edge Computing, Internet of Things (IoT), Reinforcement Learning, and Operations Research.

I possess a robust suite of technical skills vital for cutting-edge DS and AI research. I am highly proficient in many programming languages, scientific computing environments, database management systems, cloud computing platforms, and IoT development environments.

My contributions to publications highlight my expertise in applying Machine Learning, Reinforcement Learning, and Surrogate Modelling in diverse engineering contexts. Additionally, I have supervised numerous theses that have extensively employed Artificial Neural Networks, Surrogate Modelling, Multi-objective Genetic Algorithms, Reliability Analysis, and Topology Optimization.

Beyond technical proficiencies, I am equipped with strong transferable skills such as problem-solving, independent research, analytical reasoning, attention to detail, and a commitment to lifelong learning, all of which are crucial for navigating the dynamic landscape of Data Science and Artificial Intelligence. My background as a computer programmer and structural engineer further enriches my interdisciplinary approach to complex challenges.

I possess a robust suite of technical skills vital for cutting-edge DS and AI research.

Areas of Interest

Reinforcement Learning

Agent Based Systems

Decision Making under Uncertainty

Computer Vision

Artificial Intelligence

Machine Learning

Deep Learning

Operations Research

Numerical Optimization

Engineering Design Optimization

Reliability Based Design Optimization

Software Development

Serverless Cloud Computing

Publications

V. Masih and A. Roy, “Robust Learning Algorithms for Task Scheduling in MEC-Enabled IoT Networks,” in IEEE Transactions on Green Communications and Networking.

https://doi.org/10.1109/TGCN.2025.3589467

Highlights: Multi-Access Edge Computing, Internet of Things, Robust Reinforcement Learning.

Sarangi, S.K., D.P. Mishra, H. Ramachandran, N. Anand, V. Masih, and L.S. Brar. “Analysis and Optimization of the Curved Trapezoidal Winglet Geometry in a High-Efficiency Compact Heat Exchanger.” International Journal of Thermal Sciences 164 (June 2021): 106872.

https://doi.org/10.1016/j.ijthermalsci.2021.106872.

Highlights: Multi-Objective-Optimization, CFD, Heat Transfer, Genetic Algorithm, Machine Learning, ANN, Surrogate Modelling

Sarangi, S.K., D.P. Mishra, H. Ramachandran, N. Anand, V. Masih, and L.S. Brar. “Analysis and Optimization of the Curved Trapezoidal Winglet Geometry in a Compact Heat Exchanger.” Applied Thermal Engineering 182 (January 2021): 116088.

https://doi.org/10.1016/j.applthermaleng.2020.116088.

Highlights: Multi-Objective-Optimization, CFD, Heat Transfer, Genetic Algorithm, Machine Learning, ANN, Surrogate Modelling

Transferable Skills

Technical Skills

Recent Works

All
AI
DS
RL
NLP
CV
IoT
Engineering
Research
Competition
Thesis

Finnovation 2025 Hackathon

Predicting Potential NPA Account Holders and Tracking Them in the Digital Ecosystem for the Banking Industry.

Python LightGBM XGBoost Applied AI/ML Open Source Intelligence FinTech Dashboard

INAI Data Analytics Competition

INAI Data Analytics Challenge on Road Safety. Extensive exploratory data analysis for extracting actionable insights.

MATLAB MS-Excel QGIS Computer Vision EDA Advanced Driver Assistance System

Faster convergence to optima – Sustainable DL

Academic project to explore stochastic and higher-order optimization methods for training machine learning models.

PyTorchMachine Learning ResearchStochastic OptimizationGreen Computing

Weather monitoring and early warning system

An academic project requiring hardware, software, as well as cloud computing for an early warning system.

ESP32ATMega328pWeb DashboardCloud ComputingDisaster Management

My Background

Experience

2021/09-2021/11,
Visiting Assistant Professor,
Department of Civil and Environmental Engineering,
Birla Institute of Technology, Mesra, Ranchi

2018/01-2021/09,
Assistant Professor,
Department of Civil and Environmental Engineering,
Birla Institute of Technology, Mesra, Ranchi

2013/06-2017/12,
Consulting Structural Engineer,
Self-employed, Licenced Structural Engineer by Raipur Municipal Corporation.

Education

2022-2026 Expected,
Ph.D. Candidate,
Mehta Family School of Data Science and AI,
Indian Institute of Technology,
Guwahati

2010-2012,
M.Tech. in Structural Engineering,
Department of Civil Engineering,
Indian Institute of Technology,
Kharagpur

2006-2010,
B.Tech. in Civil Engineering,
Department of Civil Engineering,
National Institute of Technology, Raipur

Achievements

First Prize Dive in C Competition:
SRIJAN 2008, NIT Raipur

Academic Excellence Certificate:
SRIJAN 2008, NIT Raipur

99.89 percentile:
Techgig Code Gladiators 2017 Open Contest

99.36 percentile:
GATE 2010

Additional Responsibilities / Experience

2018-2022, Programme Assessment and Quality Improvement Committee (M.Tech. Structural Engineering), BIT Mesra
2018-2022, Laboratory Development Committee (Concrete and Road Materials), BIT Mesra
2018-2022, Laboratory Development Committee (Structural Engineering), BIT Mesra
2018-2022, Departmental website, data and information, BIT Mesra