• Machine Learning/Deep Learning
• Remote Sensing and Application Systems
• XAI and Agentic AI

• Design and Analysis of Algorithms
• Python Programming
• Data Structure
• Java Programming
• Cyber Security
• Compiler Design
• DBMS

• Academic Experience:11th September 2023-till date
• University Research Scholar- September 2020 to1th September 2023, Department of Computer Science & Applications, MDU Rohtak.

• BEST PAPER AWARD at 2nd National Seminar on Innovative and Future Trends in Computing and Intelligent Information Technology (IFTCIIT), Arya College Panipat.
• BEST PAPER AWARD at National Conference on Computational Intelligence and Data Science (NCCIDS-23), Department of Computer Science & Applications MDU Rohtak.
• UGC NTA NET DECEMBER 2021 QUALIFIED.
• GATE 2021 QUALIFIED.
• UGC NTA NET DECEMBER 2019 QUALIFIED.
• UGC NTA NET JULY 2019 QUALIFIED.
• UGC NTA NET DECEMBER 2018 QUALIFIED.
• Participated in the 21st National Youth Festival as an Organizing Team.
• Participated as a team leader in the Rajasthan Hasura Hackathon 3.0 Competition in December 2017 at Udaipur.

Patents Published

1. Ms. Anuj Mehla, Automated Waste Segregation System for a Waste Plant, Application No. 202511021248, Published by Indian Patent Office.
2. Ms. Anuj Mehla, REAL-TIME IOT BASED ALCOHOL CONTENT DETECTION SYSTEM, Application No. 202511036820, Published by Indian Patent Office.
3. Ms. Anuj Mehla, TWO- WHEELER RIDER SAFETY USING INTELLIGENT REAL-TIME HELMET COMPLIANCE AND ENGINE LOCK SYSTEM (IRHC-ELS), Application No. 202511031429, Published by Indian Patent Office.
4. Ms. Anuj Mehla, INTELLIGENT MEDICAL WASTE SEGREGATION SYSTEM OR SMART MEDICAL-BIN, Application No. 202511032118, Published by Indian Patent Office.

Publications

1. Anuj Mehla, and Sukhvinder Singh Deora, Book Chapter "Use of Machine Learning and IoT in Agriculture" in EAI/Springer Innovations in Communication and Computing, 277–293. https://doi.org/10.1007/978-3-031-04524-0_16.(Springer)
2. Anuj Mehla, and Sukhvinder Singh Deora, "A DEEP LEARNING BASED DIAGNOSIS OF CHEST X-RAYS FOR MULTIPLE DISEASES OF LUNGS: A REVIEW" in the Journal of oriental research madras. (UGC)
3. Anuj Mehla, and Sukhvinder Singh Deora, "Economic Implications of Machine Learning for Crop Yield Prediction" paper at the International Conference on Contemporary Issues in Business, Management, and Economics (ICCIBME 2022).
4. Anuj Mehla, and Sukhvinder Singh Deora, A. Mehla and S. S. Deora, "Comparative Analysis of Various Machine Learning Models for Predicting Wheat Yield," 2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT), Gharuan, India, 2024, pp. 364-367, doi: 10.1109/InCACCT61598.2024.10550984.
5. Anuj Mehla and Sukhvinder Singh Deora, "A Bibliometric Analysis of Machine Learning Techniques for Predicting Crop Yield," Advancements in Communication and Systems, SCRS, India, 2024, pp. 431-442. https://doi.org/10.56155/978-81-955020-7-3-38
6. Anuj Mehla, and Sukhvinder Singh Deora, "Crop Yield Prediction using a Hybrid DNN-CFS Model" at the National Conference on Computational Intelligence and Data Science (NCCIDS 23).
7. Anuj Mehla, and Sukhvinder Singh Deora, "Machine Learning Tools and Techniques for Agriculture" publication in a National Seminar organized by Arya College Panipat as a Book Chapter.
8. Ms. A. Mehla, N. Dahiya, and K. Kushal, “AI-Driven Cloud Infrastructure Provisioning: Leveraging Machine Learning, Observability, and IaC for Autonomous Cloud Operations,” Proc. 2025 Int. Conf. Emerging Trends in Networks and Computer Communications (ETNCC), 2025.(presented and accepted for publication).
9. Mehla A, Singh Deora S, Dalal S (2023) Improving Crop Yield Prediction Models with Optimization-Based Feature Selection and Filtering Approaches. Indian Journal of Science and Technology 16(47): 4512-4524.

Technical Certifications

Data Science & Analytics

1. Applied Plotting, Charting & Data Representation in Python – University of Michigan (Grade: 100%)
2. Exploratory Data Analysis with Seaborn – Coursera Project Network (Grade: 100%)
3. Data Visualization using Plotly – Coursera Project Network (Grade: 100%)
4. Introduction to Data Science in Python – University of Michigan (Grade: 97%)
5. Linear Regression with NumPy and Python – Coursera Project Network (Grade: 100%)

Machine Learning & AI

1. Machine Learning: Classification – Coursera- University of Washington (Grade: 98%)
2. Machine Learning: Regression -Coursera - University of Washington (Grade: 98%)
3. Machine Learning Foundations: A Case Study Approach – Coursera- University of Washington (Grade: 97.89%)
4. Object Localization with TensorFlow – Coursera Project Network (Grade: 100%)
5. Visualizing Filters of a CNN using TensorFlow – Coursera Project Network (Grade: 100%)

Programming & Development

1. Python for Data Science, AI & Development – IBM (Grade: 98.80%)
2. Create Your First Python Program – Coursera Project Network (Grade: 100%)
3. Regular Expressions in Python – Coursera Project Network (Grade: 80%)
4. Building a Text-Based Bank in Java – Coursera Project Network (Grade: 100%)
5. Create Your First Web App with Python and Flask – Coursera Project Network (Grade: 83.33%)

Data Engineering & Tools

1. Python Project for Data Engineering – IBM (Grade: 100%)
2. Introduction to Data Engineering – IBM (Grade: 100%)
3. Using Basic Formulas and Functions in Microsoft Excel – Coursera Project Network (Grade: 100%)
4. Getting Started with Microsoft Excel – Coursera Project Network (Grade: 100%)
5. Getting Started in Google Analytics – Coursera Project Network (Grade: 100%)

Other Certificates

1. ASP.NET Core Foundations Course
   • Certified by ASP, Certificate ID: Y6JJ080425, Date: 8th April 2025
   • Successfully completed training in ASP.NET Core covering foundational concepts for web development.
2. Advanced Java Programming
   • KVCH, New Delhi
   • Completed comprehensive training in Advanced Java Programming, including object-oriented concepts, JDBC, Servlets, JSP, and frameworks like Spring and Hibernate.

1. Serving as the Departmental Placement Coordinator,
2. Worked as a Department Project Committee member
3. worked as an alumni committee member
4. Faculty coordinator of TechSpace Club.
5. Attended 7 days FDP on Industry 5.0 and Beyond, BPIT, Delhi
6. Attended 3 days FDP on Tensorflow at Deptt of CSE, SRM University, Sonepat
7. Engaged in mentoring students for academic projects and research initiatives
8. Actively involved in organizing workshops, seminars, and academic events.