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Dr. Sahaj Saxena

About Me

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Associate Professor

Room No. CD207

Electrical and Instrumentation Engineering Department

Thapar Institute of Engineering and Technology, Patiala - 147004

Email - sahaj.saxena@thapar.edu

Research Intrests

Control aspects in cybersecurity

Time-delay systems

Fractional-order Control

Model order reduction

Control synthesis for artificial pancreas

News

20-Aug-2022: Our Edited Book, titled “Applied Fractional Calculus in Identification and Control” is releasing soon by Springer.


20-Nov-2021: Name in the Stanford University’s Top 2% Scientists List for the Year 2020.


27-Sep 2020: Awarded the “IETE-MN Saha Memorial Award (2020)” for the best application oriented paper by The Institute of Electronics and Telecommunincation Engineers.

Experience

Postdoctoral Research Fellow

Tel Aviv University, Israel.

Area of work: Time-delay
Supervisor: Professor Emilia Fridman.

Worked on various research projects, including the development of machine learning algorithms for natural language processing.

Assistant Professor

Thapar Institute of Engineering and Technology

Area of work: Control Systems.

Teaching and research in the Electrical and Instrumentation Engineering Department.

Reviewer

Visit Publon to see the complete list of articles reviewed in different journals.

Education

Ph.D. in Electrical Engineering

Jan 2013 - Sep 2017

Department of Electrical Engineering, Indian Institute of Technology Roorkee.

Supervisor: Professor Yogesh Vijay Hote

M.Sc. in Electrical Engineering

July 2010 - June 2012:

Department of Electrical Engineering, Indian Institute of Technology Roorkee.

Supervisor: Professor Yogesh Vijay Hote

B.Tech. in Electronics Engineering

July 2006 - Jun 2010:

Kamla Nehru Institute of Technology, Sultanpur, Uttar Pradesh.

Awards

Google Summer of Code 2019

Contributed to the development of the TensorFlow Recommenders (TFRS) library, a TensorFlow-based recommender system framework.

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Best Paper Award at the 2018 IEEE International Conference on Data Mining (ICDM)

Received the Best Paper Award for the paper "Deep Learning for Time Series Forecasting: A Survey" at the 2018 IEEE International Conference on Data Mining (ICDM).

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Google Anita Borg Memorial Scholarship 2017

Received the Google Anita Borg Memorial Scholarship, a scholarship program for women in technology.

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Projects

Machine Learning for Natural Language Processing

Developed machine learning algorithms for natural language processing, including text classification and sentiment analysis.

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Image Processing using Machine Learning Techniques

Applied machine learning techniques to image processing, including image classification and object detection.

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Publications

Fractional order PID design using Big Bang–Big Crunch algorithm and order reduction:

Shivam Jain, Yogesh V. Hote, and Sahaj Saxena

Cybersecurity analysis of load frequency control in power systems: a survey

Sahaj Saxena, Sajal Bhatia and Rahul Gupta

Optimal fractional-order tilted-integral-derivative controller for frequency stabilization in hybrid power system using salp swarm algorithm

Mandeep Sharma, Surya Prakash, Sahaj Saxena and Sandeep Dhundhara

Robustly stabilizing PI controller for uncertain system under computational delay

Sahaj Saxena and Yogesh V. Hote

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Skills

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