Souvika Sarkar
Assistant Professor, School of Computing
Wichita State University, Kansas, USA
π§ souvika.sarkar@wichita.edu | π§ souvikasarkar@gmail.com
LinkedIn | Google Scholar
π +1 631-992-8566
Current Appointment
Assistant Professor
School of Computing, Wichita State University, Kansas, United States
Aug 2024 β Present
Education
- Ph.D., Computer Science and Software Engineering
Auburn University, Alabama, USA
Aug 2019 β Jul 2024- Advisor: Prof. Shubhra Kanti Karmaker
- Committee: Prof. Anh Nguyen, Prof. Gerry Dozier, Prof. Asish Gupta
- Thesis: Zero-Shot Multi-Label Topic Inference
M.E., Software Engineering
Jadavpur University, West Bengal, India
Jun 2015 β Dec 2018- B.Tech., Computer Science and Engineering
Maulana Abul Kalam Azad University of Technology, West Bengal, India
Jun 2007 β Jul 2011
Research Interests
Natural Language Processing, Generative AI, Information Retrieval, Intelligent Agents, Artificial Intelligence, Deep Learning
Awards
- Hunger Free Kansas Mass Action Grant β Kansas Leadership Center
Leveraging AI for Food System Data Acquisition and Inquiry - Multidisciplinary Research Project Awards β Wichita State University
Food System Data Acquisition to Support Real-Time Food Navigation using Large Language Models
Publications
Conference Papers
- EMNLP (2025) β Benchmarking LLMs on the Semantic Overlap Summarization Task
- NAACL (2025) β LLMs as Meta-Reviewersβ Assistants: A Case Study
- L@S (2024) β SimPal: Meta-Conversational Framework to Understand Teacher Goals in Kβ12 Physics
- ICPE (2024) β Processing Natural Language on Embedded Devices: How Well Do Transformer Models Perform?
- EMNLP (2023) β Zero-Shot Multi-Label Topic Inference with Sentence Encoders & LLMs
- EMNLP (2023) β On Evaluation of Bangla Word Analogies
- AACL-IJCNLP (2022) β Exploring Universal Sentence Encoders for Zero-shot Text Classification
- ICDATA (2021) β Containing COVID-19 Pandemic by Mining Knowledge from Scientific Literature and Social Media
- ACM IUI (2021) β COVID19Ξ±: Spatio-Temporal Visualization of COVID-19 Symptoms via Tweets
Journal Papers
- ACM TIST (2023) β Ad-Hoc Monitoring of COVID-19 Global Research Trends for Well-Informed Policy Making
Peer-Reviewed Workshop Papers
- NeurIPS Safe GenAI Workshop (2024) β Investigating Annotator Bias in Large Language Models for Hate Speech Detection
- WWW UserNLP (2022) β Concept Annotation from Usersβ Perspective: A New Challenge
arXiv Preprints (2024β2025)
- Pitfalls of Evaluating Language Models with Open Benchmarks
- Instructional Goal-Aligned Question Generation in Virtual Lab Settings
- Zero-Shot Multi-Label Classification of Bangla Documents: Large Decoders vs Classic Encoders
- Advancing Security with Digital Twins: A Survey
- Investigating Hallucination in Conversations for Low Resource Languages
- LLMs as On-Demand Customizable Service
Teaching Experience
Assistant Professor
Wichita State University (Aug 2024 β Present)
- Natural Language Processing (Graduate)
- Information Retrieval (Graduate)
- Artificial Intelligence (Graduate)
- Data Structures (Undergraduate)
Teaching Assistant
Auburn University (Aug 2019 β Jul 2024)
- Personal Computer Applications
- Fundamentals of Computing II
- Advanced Computer and Network Security
- Natural Language Processing
- Information Retrieval
- Machine Learning
- Explainable Artificial Intelligence
- Computational Biology
Industry Experience
IT Analyst (Client: Kingfisher)
Tata Consultancy Services (May 2018 β Jul 2019)
- Installed/configured Microsoft SharePoint Server 2010/2013 via PowerShell
- Migrated SharePoint 2013 to Office 365
- Managed hotfixes, updates, and service packs
- Developed workflows in SharePoint Designer 2010/2013
IT Analyst (Client: KPMG)
Tata Consultancy Services (Oct 2017 β Apr 2018)
- Tested SharePoint applications, logged defects in ALM QC
- Tracked bug resolutions and deployments
IT Analyst (Client: KPMG)
Tata Consultancy Services (May 2012 β Sep 2017)
- Installed and configured Microsoft SharePoint Server 2007/2013
- Created deployment strategies, run books, and bug fixes
- Migrated SharePoint 2007 β 2013
- Monitored services and performance reports
Technical Skills
- Languages: Python, C, C++, Java, R, LaTeX
- Libraries/Frameworks: PyTorch, TensorFlow, scikit-learn, Keras, NumPy
Achievements
- Auburn University Outstanding Doctoral Student Award
- 100+ Women Strong Outstanding Departmental
