Dr. Manu Shrivastava — Learn. Understand. Apply. Innovate. Lecture notes and learning resources in Computer Science, Machine Learning and beyond.
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Dr. Manu Shrivastava

About Me

I am a Computer Science academician and researcher with over 15 years of teaching and research experience, and a Ph.D. in Engineering from Kyushu Institute of Technology (Kyutech), Japan, supported by Japan's prestigious MEXT Scholarship. My research centers on Natural Language Processing and Neural Machine Translation — particularly ontology population — alongside a growing focus on Quantum Computing and Deep Neural Networks. I currently serve as Assistant Professor at Manipal University Jaipur, where I teach, mentor students, and contribute to departmental research and academic governance.

Experience

Jan 2025 – Present

Assistant Professor

Manipal University Jaipur, India
  • Ph.D. Coordinator
  • Member, Board of Studies
  • Member, Department Research Committee
  • High Performance Computing Lab Faculty Coordinator
Jul 2013 – Oct 2021

Assistant Professor

Manipal University Jaipur, India
  • Taught Object-Oriented Programming (Java), DBMS, and Design & Analysis of Algorithms
  • Assistant Controller of Examination (Additional Responsibility) — oversaw examination processes and coordinated timely execution of exams

Education

2021 – 2024

Ph.D. in Engineering

Kyushu Institute of Technology (Kyutech), Japan

Dept. of Life Science and Systems Engineering. Thesis: "The Effect of the Grammatical Complexity of Natural Language Descriptions in the Translation to Semantic Triples by Sequential Models." Supervisor: Prof. Hiroaki Wagatsuma. Funded by Japan's MEXT Scholarship.

2011 – 2013

M.Tech, Computer Engineering

Malaviya National Institute of Technology, Jaipur

Thesis: "Ahead of Time Compiler." Supervisor: Dr. Dinesh Gopalani.

2005 – 2009

B.Tech, Computer Science & Engineering

Institute of Engineering and Technology, Indore

Project: Online Port Scanner — an alternative networking toolkit (port scanner, whois query) for restricted corporate environments.

Research Interests & Skills

Natural Language Processing Neural Machine Translation Ontology Population Quantum Computing Machine Learning Deep Neural Networks

Programming

C C++ Java Python Android App Development

Certifications

Oracle Certified Java Programmer Bayesian Statistics — UC Santa Cruz Convolutional Neural Networks — DeepLearning.AI Neural Networks & Deep Learning — DeepLearning.AI Improving Deep Neural Networks — DeepLearning.AI Structuring ML Projects — DeepLearning.AI ML Foundations — University of Washington Introduction to Retrieval Augmented Generation (RAG)

Publications

Journal Articles

  1. Shrivastava, M., Shibata, K., & Wagatsuma, H. Structure dependent weighted loss function for triple extraction using BART model. Pattern Analysis and Applications 29, no. 1 (2026): 37.
  2. Shrivastava, M., Shibata, K., & Wagatsuma, H. Conditional checkpoint selection strategy based on sentence structures for text to triple translation using BiLSTM encoder–decoder model. International Journal of Data Science and Analytics (2024).
  3. Shrivastava, M., & Wagatsuma, H. A Quality Analysis of the BiLSTM Encoder Decoder Model with Modified J-Divergence for Sentences with Different Complexities. ICIC Express Letters, Part B: Applications 18, no. 7 (2023): 721–729.
  4. Dixit, A., Oshiumi, W., Shrivastava, M., & Wagatsuma, H. An image processing mechanism for aerial inspection robots to detect submillimeter-width concrete cracks in social infrastructures. Advanced Robotics 38, no. 9–10 (2024): 698–714.
  5. Banerjee, S., Singal, G., Saha, S., Mittal, H., Srivastava, M., Mukherjee, A., et al. Machine Learning approach to predict net radiation over crop surfaces from global solar radiation and canopy temperature data. International Journal of Biometeorology 66, no. 12 (2022): 2405–2415.
  6. Shrivastava, M., Roy, S., Kumar, K., Pandey, C. V., & Grover, J. LICCA: a lightweight image cipher using 3-D cellular automata. Nonlinear Dynamics 106 (2021): 2679–2702.
  7. Roy, S., Shrivastava, M., Rawat, U., Pandey, C. V., & Nayak, S. K. IESCA: An efficient image encryption scheme using 2-D cellular automata. Journal of Information Security and Applications 61 (2021): 102919.
  8. Roy, S., Shrivastava, M., Pandey, C. V., Nayak, S. K., & Rawat, U. IEVCA: An efficient image encryption technique for IoT applications using 2-D Von-Neumann cellular automata. Multimedia Tools and Applications 80 (2021): 31529–31567.

Conference Papers

  1. Shrivastava, M., Seri, K., & Wagatsuma, H. (2022). A Named Entity Recognition Model for Manufacturing Process Based on the BERT Language Model Scheme. International Conference on Social Robotics, pp. 576–587. Springer Nature Switzerland.

Patents

A Method and System for AI-Based Adaptive Tutoring Through Architecture Design

Application No. 202511043833, India · Filed 6 May 2025 · Published 23 May 2025

System and Method for Software Implementation of an Autonomous AI Tutor with Real-Time OCR and Feedback

Application No. 202511043832, India · Filed 6 May 2025 · Published 23 May 2025

Academic Activities

Courses Taught

Dedicated lecture notes and learning material for each course. Click a card to visit the course site.

Problem Solving using C logo

Problem Solving using C

Programming fundamentals and problem-solving techniques using C.

Developed by Abhay Singh Bisht Visit site Relational Database Management Systems logo

Relational Database Management Systems

Concepts, design and practice for relational databases.

Developed by Dr. Manu Shrivastava Visit site Design and Analysis of Algorithms logo

Design & Analysis of Algorithms

Notes, examples and problem sets on algorithm design and complexity analysis.

Developed by Abhay Singh Bisht Visit site Advanced Data Structures logo

Advanced Data Structures

In-depth coverage of advanced data structures and their applications.

Developed by Dr. Manu Shrivastava Visit site Deep Neural Networks logo

Deep Neural Networks

Foundations and architectures for deep learning and neural networks.

Developed by Dr. Manu Shrivastava Visit site

Get in Touch

For research collaboration, academic queries, or course-related questions, feel free to reach out.

manu.shrivastava@jaipur.manipal.edu