CV

Education

• Doctor of Philosophy (Ph.D.), Institute of Computer Science, University of Tartu, Tartu, Estonia (2020-2023).

  • Courses: Machine Learning [Slides], Neural Networks [Blog], Natural Language Processing [Poster], Business Data Analytics, Network Science, Seminar on Natural Language Processing, Communicating Science, Statistical Data Science [Slides], etc.

  • Thesis: Fighting Misinformation In The Digital Age [PhD Blog] (Mentored by Dr. Rajesh Sharma).

• Master of Technology (M.Tech. in Computer Science Analytics), National Institute of Technology, (NIT) Delhi, India [Gold Medalist] (2015-2017).

  • Courses: Machine Learning, Data Mining, Soft Computing, Big Data Analysis, Quantitative Techniques, Game Theory, Computational Mathematics, Research Methodology, etc.

  • Thesis: Deep Learning in Computer Vision for Real-world Scene Recognition (Mentored by Dr. Akanksha Juneja) resulted in the publication of a paper.

• Bachelor of Technology (B.Tech.  in Computer Science Engineering), Jan Nayak Ch. Devi Lal Vidyapeeth, Sirsa, Haryana, India (2008-2012).

  • Courses:  Fundamentals of C, Object-oriented Programming, Data Structures, Design and Analysis of Algorithms, Mathematics, Software Engineering, etc.

• Qualified National Eligibility Test (NET) in 2020.

• Qualified Graduate Aptitude Test in Engineering (GATE) in 2012 and 2015.

Professional Experience

• Assistant Professor, School of Computer Science Engineering and Technology (SCSET), Bennett University (Times of India Group), Greater Noida, Uttar Pradesh, India (March 2024 - Present).

• Junior Researcher, Institute of Computer Science, University of Tartu, Tartu, Estonia (July 2020 - Jan 2024).

• Assistant Professor, Department of Computer Science and Engineering, The NorthCap University, Gurugram, Haryana, India (July 2018 - May 2020).

• Graduate Programmer, Fidelity International Company, Gurugram, Haryana, India (June 2017 - June 2018).

• Teaching Assistant, Department of Computer Science and Engineering, National Institute of Technology (NIT),  Delhi, India (Aug 2015- June 2017).

• Supervised five Master's degree students from Northcap University, Gurugram, Haryana, India, University of Tartu, Tartu, Estonia. During my supervision, the students worked on the following papers/theses under my guidance:

  1. DENATURE: duplicate detection and type identification in open source bug repositories.

  2. Predicting Company Innovativeness by Analysing the Website Data of Firms: a Comparison across Different Types of Innovation.

  3. A Network-Based Model for Television Services Churn Prediction.

  4. Identifying targeted users in misinformation [Coming soon].

  5. Debunking Fact-Checked Articles [Coming soon].

• Supervised six Bachelor's degree students from International Institute of Information Technology (IIIT), Hyderabad, India, Indian Institute Of Technology (IIT), Goa, India,  BITS Pilani - Hyderabad, India, and The NorthCap University, Gurugram, Haryana, India. During my supervision, the students worked on the following papers under my guidance:

  1. Misinformation Detection on YouTube Using Video Captions.

  2. GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection.

  3. FaCov: COVID-19 Viral News and Rumors Fact-Check Articles Dataset.

  4. Heart Disease Diagnosis: Performance Evaluation of Supervised Machine Learning and Feature Selection Techniques.

• Privilege of collaborating with Mohit Mayank from Outplay, India on the research paper entitled DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection.

Internships

• PhD Research Intern with Faculty Mentor Nikolaos Aletras at the Department of Computer Science, University of Sheffield, Sheffield, United Kingdom (March 5, 2023 - April 7 , 2023). [Blog]

• PhD Research Intern at PRECOG with Faculty Mentor Prof. Ponnurangam Kumaraguru "PK" at the International Institute of Information Technology (IIIT), Hyderabad, India (May 1, 2022 - July 31, 2022).