2024 — Present
PhD in Computing Science
Kansas State University · Manhattan, Kansas, USA
All But Dissertation (ABD).
Moumita Sen Sarma
PhD Candidate in Computing Science
Kansas State University
Manhattan, Kansas, USA
moumita@ksu.edu, moumitactg@gmail.com
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About Me
👋 Hi, there!
I am a PhD candidate in Computing Science (ABD) at Kansas State University.
I explore how AI models learn, make decisions, and internally represent information. My research focuses on making AI systems more interpretable, reliable, and understandable beyond their predictions.
I also enjoy building practical tools, collaborating across disciplines, and sharing knowledge.
01 / Education
🎓 Education
2016 — 2021
B.Sc. in Computer Science & Engineering
Chittagong University of Engineering & Technology (CUET), Bangladesh
CGPA: 3.89 / 4.00 · Departmental Merit Position: 1st / 120
02 / Research
🔬 Research Interests
Artificial IntelligenceDeep LearningComputer VisionExplainable AINeurosymbolic AI
03 / Experience
💼 Professional Experience
AI ConsultantJun 2026 — Present
K-State AI Consultation Services (KAICS) · Kansas State University
Provide research-oriented AI consultation to faculty, staff, and graduate students, and develop tutorials on emerging AI topics, tools, and technologies.
Graduate Research AssistantAug 2024 — May 2026
Data Semantic Lab · Kansas State University
Conducted research under the Game-changing Research Initiation Program (GRIP), contributing to “Towards a Global Food Systems Data Hub: Seeding the Center for Sustainable Wheat Production.”
LecturerJul 2022 — Jul 2024
Department of Computer Science & Engineering · CUET, Bangladesh
Courses: Software Engineering, Computer Graphics, Programming for Planners, Electrical Devices and Circuits.
LecturerSep 2021 — Jul 2022
Department of Computer Science & Engineering · East Delta University, Bangladesh
Courses: Computer Graphics, Digital Image Processing, Pattern Recognition, Compiler Design, Object-Oriented Programming, and Operating Systems.
04 / Publications
📝 Publications
Works by type:
Journal Papers
AvaTER: Fusing Audio, Visual, and Textual Modalities Using Cross-Modal Attention for Emotion Recognition ↗
Avishek Das, M. S. Sarma, Mohammed Moshilul Hoque, Nazmul Siddique, M. Ali Akber Dewan
Sensors, vol. 24, p. 5862
Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model ↗
S. S. Aonty, K. Deb, M. S. Sarma, P. K. Dhar, T. Shimamura
IEEE Access, vol. 11, pp. 42343–42360
Traditional Bangladeshi Sports Video Classification Using Deep Learning Method ↗
M. S. Sarma, K. Deb, P. K. Dhar, T. Koshiba
Applied Sciences, vol. 11, no. 5, p. 2149
Conference Papers
Accepted
Do CNNs Internally Represent Real and Fake Images Differently? A Hidden-Layer Analysis ↗
M. S. Sarma, Pascal Hitzler, Eugene Y. Vasserman
20th Conference on Neurosymbolic Learning and Reasoning (NeSy 2026) · arXiv
Multimodal Emotion Recognition Exploiting Audio, Video and Textual Features with Crossmodal Attention ↗
Avishek Das, M. S. Sarma, Mohammed Moshilul Hoque
IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
Jointly Learning Structure for Human Pose Estimation Using Convolutional Neural Networks ↗
S. S. Aonty, M. S. Sarma, K. Deb
4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)
BMGC: A Deep Learning Approach to Classify Bangla Music Genres ↗
M. Sen Sarma, A. Das
4th International Conference on Networking, Information Systems & Security (NISS2021)
Traditional Bengali Food Classification Using Convolutional Neural Network ↗
A. M. Uddin, A. Al Miraj, M. S. Sarma, A. Das, M. M. Gani
2021 IEEE Region 10 Symposium (TENSYMP)
ArXiv Preprints
Preprint
From Field Data to Global Food Systems Intelligence: A Semantic Graph Framework for Sustainable Wheat Production ↗
N. Gelal, A. Gautam, S. Abadifard, N. Giordano, M. S. Sarma, et al.
arXiv preprint
Book Chapters
Accepted
Neurosymbolic Hidden Neuron Analysis in Convolutional Neural Networks
Abhilesha Dalal, M. S. Sarma, Avishek Das, Samatha E. Akkamahadevi, Eugene Y. Vasserman, Pascal Hitzler
Neuro-Symbolic AI: Bridging the Gap Between Neural Networks and Symbolic Reasoning · Elsevier book chapter
Accepted
A Symbolic Reasoning Methods in Neural Architectures and Large Language Models
Adrita Barua, Avishek Das, M. S. Sarma, Pascal Hitzler
Neuro-Symbolic AI: Bridging the Gap Between Neural Networks and Symbolic Reasoning · Elsevier book chapter
05 / Presentations
🎤 Poster Presentations
A Case Study on Concept Induction for Neuron-Level Interpretability in CNN ↗
M. S. Sarma, S. E. Akkamahadevi, P. Hitzler
13th International Conference on Knowledge Capture (K-CAP 2025), USA
Building Knowledge Graph for Fungicide Management in Wheat ↗
M. S. Sarma, A. Gautam, N. Gelal, et al.
Posters, Pinot and Partnership Session on Enabling Technologies and Global Food Security and Biosecurity, Kansas State University, USA
06 / Projects
🚀 Projects
01
Hybrid RAG for Knowledge-Grounded Cyber Threat Intelligence
A hybrid retrieval-augmented generation system combining knowledge-graph retrieval, semantic vector retrieval, and LLM-based generation.
02
Image Caption Generation
Automatic image caption generation with a web interface for captioning user-provided images.
03
Bengali Sports Classification
CNN- and LSTM-based web application for classifying five traditional Bengali sports activities from video.
04
Course-guided Deep Learning Projects
Projects in object localization, neural style transfer, and multi-task learning for handwritten digit and color prediction.
07 / Skills
🧰 Technical Skills
Programming
Python · C/C++ · Java · SQL
ML frameworks
PyTorch · TensorFlow · Scikit-learn
Vision & GenAI
CNNs · SDXL · FLUX · Diffusion
Explainable AI
Concept Induction · ECII Tool
LLMs & RAG
Hugging Face · OpenAI API · RAG · GraphRAG · Transformers
Knowledge graphs
Neo4j · RDF · OWL · SPARQL · Protégé
Databases
Qdrant · GraphDB · MySQL
Tools & MLOps
Docker · Kubernetes · Git · FastAPI
08 / Internship & Training
💻 Internship & Training
Brain Station 23 Ltd.Aug 2019 — Sep 2019
Key achievements:
- Learned Python, Django, D3.js, and Git.
- Completed a University Enrollment Log System using Python and Django.
09 / Awards
🏆 Awards
- Graduate Student of the Month · Carl R. Ice College of Engineering, K-State, September 2025
10 / Certifications
📜 Certifications
- Machine Learning in Production · DeepLearning.AI
- Crash Course: Docker for Absolute Beginners · KodeKloud
- Crash Course: Kubernetes for Absolute Beginners · KodeKloud
- Build Basic Generative Adversarial Networks (GANs) · Coursera
- Machine Learning Course · Coursera
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning · Coursera
- Convolutional Neural Networks in TensorFlow · Coursera
- Data Analyst in Python, Data Scientist in Python, and Data Engineer in Python · Dataquest
- Introduction to Quantum Computing · IBM & The Coding School
11 / Leadership Activities
🤝 Leadership Activities
- Vice President, Computer Science Graduate Student Association, Kansas State University, 2026
- Volunteer, Kansas State University Career Fair, 2025
- Moderator (as a faculty member), IEEE CUET WIE Affinity Group Student Branch, Bangladesh, 2023–2024
- Organizing Member, Workshop on Computational Linguistics and Bangla Language Processing (CLBLP–2023)
- Organizing Member, International Conference on Electrical, Computer and Communication Engineering (ECCE–2023)
- Volunteer, International Conference on Electrical, Computer and Communication Engineering (ECCE–2019)
- Chairperson, IEEE CUET WIE Affinity Group Student Branch, Bangladesh, 2019–2020
- Membership Advisor, IEEE Student Branch CUET, Bangladesh, 2018–2019