Dr. Sudhansu Bala Das

Research Profile

I am a Postdoctoral Researcher working in Natural Language Processing (NLP), Data Science, and Artificial Intelligence. My work focuses on developing computational methods to analyze and model textual and speech data, enabling intelligent systems for real-world applications.

I have worked on a range of NLP applications, including machine translation, speech processing, text analytics, and multimodal language systems. My research integrates machine learning, language modeling, and data-driven approaches to extract meaningful insights from complex data.

I am particularly interested in applying NLP and data science techniques to domains such as healthcare, legal and policy text analysis, education, and cultural and historical data, with a focus on building practical and impactful AI solutions.

My work has been published in venues including ACM TALLIP, Springer, Elsevier, and Cambridge University Press. During my PhD at NIT Rourkela, I worked on multilingual language technologies and contributed to the development of intelligent NLP systems.

Open to collaboration in NLP, data science, AI applications, and interdisciplinary research involving real-world data.

Education

Doctor of Philosophy (Ph.D.) in Computer Science and Engineering — National Institute of Technology Rourkela (NIT Rourkela), Odisha, India (September 2020 – December 2024)
CGPA: 8.48 / 10
Thesis: Exploring Efficacy of Machine Translation System for Indian Languages (Awarded: December 2024)
Master of Technology (M.Tech) in Computer Science and Engineering — Veer Surendra Sai University of Technology (VSSUT), Odisha, India (2014 – 2016)
CGPA: 9.34 / 10
Thesis: Computational Thinking-Based Learning
Bachelor of Technology (B.Tech) in Information Technology — Biju Patnaik University of Technology (BPUT), Odisha, India (2010 – 2014)
CGPA: 8.24 / 10

Experience

Postdoctoral Researcher — University of Galway, Ireland (Feb 2025 – Present)

Conducting advanced research in NLP, network analysis, and multilingual document processing.
Leveraging data science methods to analyze and link early languages using Data Science Techniques.
Collaborating with Researchers to enhance access and interpretation of textual datasets.

Assistant Professor (Grade I) — XIM University, Bhubaneswar, India (July 2024 – November 2024)

Taught undergraduate courses in Computer Science.
Mentored students on research methodology and project execution.
Designed course materials and skill-based assessments.

Project Scholar — Ministry of Electronics and IT (MeitY) (Sept 2020 – Apr 2023)

Developed a Machine Translation system for English–Odia conversion.
Built an e-learning platform for SC/ST school students using broadband and cable technology.
Integrated real-time Odia captioning in video lectures using MT pipelines.

Senior Researcher — DRDO (Defence Research & Development Organisation), Chandipur (Sept 2018 – Sept 2020)

Led NLP-based speech command tool development for embedded systems.
Engineered a voice-controlled HMI system for SMART EOTS using Python and C#.
Designed deep learning models for infrared image processing and target tracking.

Junior Researcher — DRDO (Defence Research & Development Organisation), Chandipur (Sept 2016 – Sept 2018)

Built a web-based tool for CAN software updates using .NET and Oracle.
Maintained and monitored databases and network servers for defense systems.

Technical Skills

Python

Pytorch, TensorFlow

Deep Learning

9.5

Natural Language Processing (NLP)

9.5

Multimodal Machine Learning

8.5

Speech Recognition & Synthesis

Data Science & Analysis

Multimodal Machine Translation

LLM Agents / AI Agents

LaTeX / Academic Writing

Selected Publications

Beyond English: Natural Language Processing for All Languages in an Era of Large Language Models. Sudhansu Bala Das, Pruthwik Mishra, Alok Singh, Shamsuddeen Hassan Muhammad, Asif Ekbal, and Uday Kumar Das. Proceedings of the Workshop on Beyond English: Natural Language Processing for All Languages in an Era of Large Language Models, 2025. CORE A*
A Thresholding Method for Improving Translation Quality for Indic MT Tasks. Das, Sudhansu Bala, Leo Raphael Rodrigues, Tapas Kumar Mishra, and Bidyut Ku Patra. Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages, pp. 12–20, 2025. CORE A*
Investigating the Effect of Backtranslation for Indic Languages. Sudhansu Bala Das, Samujjal Choudhury, Tapas Kumar Mishra, and Bidyut Kr. Patra. Proceedings of the First Workshop on NLP for Indo-Aryan and Dravidian Languages, pp. 152–165, 2025. CORE A*
Statistical Machine Translation for Indic Languages. Sudhansu Bala Das, Divyajyoti Panda, Tapas Kumar Mishra, and Bidyut Kr. Patra. Natural Language Engineering, Vol. 31(2), pp. 328–345, 2025. SCI
Multilingual Neural Machine Translation for Indic to Indic Languages. Sudhansu Bala Das, Divyajyoti Panda, Tapas Kumar Mishra, Bidyut Kr. Patra, and Asif Ekbal. ACM TALLIP, Vol. 23(5), Article 65, pp. 1–32, May 2024. SCI
Improving Multilingual Neural Machine Translation System for Indic Languages. Sudhansu Bala Das, Atharv Biradar, Tapas Kumar Mishra, and Bidyut Kr. Patra. ACM TALLIP, Vol. 22(6), Article 169, pp. 1–24, 2023. SCI
NIT Rourkela MT System Submission to WAT 2022 (MultiIndicMT). Sudhansu Bala Das, Atharv Biradar, Tapas Kumar Mishra, and Bidyut Kr. Patra. 9th Workshop on Asian Translation (COLING), pp. 73–77, Gyeongju, Korea, 2022. CORE A*
Alarm Coloring and Grouping Algorithm for Root Cause Analysis. Sudhansu Bala Das, Divyajyoti Panda, et al. Journal of King Saud University – Computer and Information Sciences, Vol. 33(5), pp. 572–579, Elsevier, 2021. SCI
An Efficient AET-RR Scheduling Algorithm. S.B. Das, S.K. Mishra, and A.K. Sahu. International Journal of Information Technology, Vol. 14, pp. 863–876, Springer, 2022. Scopus
A Proposed What-Why-How (WWH) Learning Model for Students. R. Mohanty and S. Bala Das. Springer AISC Book Chapter, Vol. 719, pp. 183–194, 2018.
Study of Atmospheric Attenuation of IR Signature of Airborne Vehicle. R.K. Dey, S. Mahakud, S.B. Das, P. Roy, and D. Das. IEEE ICORT, pp. 1–5, 2019.
Intelligent Optical Tracking. S.B. Das, D. Das, and P.K. Swain. IEEE ICICRS, pp. 1–5, 2019.
GUI-Based Speech Recognition Using Deep Learning Models. Sudhansu Bala Das, et al. ICADCML 2022, Springer LNNS, pp. 283–291. Scopus
Sentiment Analysis for Prediction of Bitcoin Response. Sudhansu Bala Das and Dipak Das. In The Role of IoT and Blockchain: Techniques and Applications, Apple Academic Press (Taylor & Francis Group), 2022. ISBN: 9781003048367. Book Chapter

Latest News & Achievements

📣 2026: Serving on the Programme Committee of the Workshop on Low-Resource and Emerging Language Models (LoResLM).

📣 October 2025: Joined the Editorial Board of Next-Generation Computing Systems and Technologies.

📣 September 2025: Organising GLOBALNLP 2025, co-located with RANLP, Varna, Bulgaria.

📝 September 2025: Paper accepted at LowResNLP 2025, Workshop on Advancing NLP for Low-Resource Languages at RANLP 2025, Varna, Bulgaria. Title: “An Approach for Mistranslation Removal from Popular Dataset for Indic MT Task”. [To appear in ACL Anthology]

📰 July 2025: Published an article in The Conversation titled “Many tongues, one people?” on linguistic diversity and policy in India.

📢 May 2025: Published journal article on Statistical Machine Translation for Indic Languages in Natural Language Engineering, Vol. 31, Issue 2.

📝 Feb 2025: Published workshop paper at IndoNLP 2025 titled Investigating the Effect of Backtranslation for Indic Languages.

📢 Feb 2025: Started Postdoctoral Research at University of Galway, Ireland.

✅ Jan 2025: Paper accepted at IndoNLP2025 – CORE A*.

🏅 Oct 2024: Won Best Localization Blog Paper at CITLoB Samvad 2024 Awards.

🏆 Oct 2023: Awarded AI Excellence Award by SAMVAD.

🌟 Jan 2023: Received ACM India Anveshan Setu Fellowship (in collaboration with IIT Patna).

🥇 Jan 2022: Best Paper Award at ICADCML 2022, NIT Warangal.

🎖️ Nov 2016: Gold Medalist in M.Tech awarded by Governor of Odisha, Hon’ble S.C. Jamir, for Best Postgraduate Student in Computer Science & Engineering, VSSUT.

Research Collaborators

Dr. Tapas Kumar Mishra – Computational Linguistics,NLP, MT, NIT Rourkela
Dr. Bidyut Kumar Patra – NLP, Data Science, Deep Learning, IIT BHU
Dr. Asif Ekbal – NLP & ML, IIT Patna
Dr. Pruthwik Mishra – Indic NLP, NLP SVNIT, Surat
Dr. Alok Singh – Language Technology, NLP Researcher

Collaboration & Research Interests

🌟 I’m actively looking for collaborators in Natural Language Processing (NLP), Data Science, Large Language Models (LLMs), and AI-driven systems—particularly for real-world applications such as healthcare, legal and policy text analysis, education, and language technologies.

🤝 I am especially interested in interdisciplinary research that applies NLP to human-centered domains, including linguistics, cultural and historical data, digital humanities, and multilingual communication. My goal is to develop AI solutions that are both technically robust and socially impactful.

Achievements

AI Excellence Award – SAMVAD 2023
Australian Patent – IoT-Based Prisoner Monitoring (2021)
Best Paper – ICACNI, NIT Warangal (2022)

Leadership

Mentored 100+ students, presented to DRDO advisors, organized AI/ML workshops, guided academic projects in NLP and MT.

Professional Activities

Journal Reviewer:
- IEEE Transactions on Artificial Intelligence (IEEE TAI)
- IEEE Access
- IEEE Transactions on Vehicular Technology
- IEEE/ACM Transactions on Audio, Speech, and Language Processing
- IEEE Journal of Biomedical and Health Informatics
- Journal of Supercomputing
- Neurocomputing
- Complex & Intelligent Systems
- PLOS One
- Internet Technology Letters
- Software: Practice & Experience
Conference Reviewer:
- ICORT 2025 – International Conference on Range Technology, DRDO
- ICONIP 2024 – International Conference on Neural Information Processing, New Zealand
- COCOLE 2025 – 4th International Conference on Computing, Communication and Learning, NIT Rourkela
- R10-HTC 2023 – IEEE Region 10 Humanitarian Technology Conference, Marwadi University
- COCOLE 2023 – 3rd International Conference on Computing, Communication and Learning, NIT Warangal
- ICORT 2023 – Integrated Test Range (ITR), DRDO
- ICONIP 2022 – International Conference on Neural Information Processing, IIT Indore
- COCOLE 2022 – 2nd International Conference on Computing, Communication and Learning, NIT Warangal
- ICADCML 2022 – International Conference on Advances in Distributed Computing and Machine Learning, NIT Warangal
- ICCSEA 2022 – International Conference on Computer Science, Engineering and Applications, GIET University
Organizer: Chaired and organized sessions on Indic NLP, Machine Translation (MT), and Educational Technology systems.