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Service & mentoring

Reviewing for NeurIPS, CVPR, ICLR and more, organizing events, and helping the next group of researchers get started.

01

Peer review

Conferences & workshops

  • Conference on Neural Information Processing Systems (NeurIPS) ★2026
  • International Conference on Learning Representations (ICLR) ★2026
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ★2026
  • European Conference on Computer Vision (ECCV) ★2026
  • Conference on Empirical Methods in Natural Language Processing (EMNLP) ★2026
  • Annual Meeting of the Association for Computational Linguistics (ACL) ★2027
  • IEEE International Conference on Robotics and Automation (ICRA)2026
  • IEEE International Conference on Distributed Computing Systems (ICDCS)2024
  • NeurIPS Efficient Natural Language and Speech Processing (ENLSP) WorkshopNeurIPS
  • International Conference on Machine Learning and Applications (ICMLA) WorkshopsICMLA

Journals

  • IEEE Transactions on Pattern Analysis and Machine IntelligenceIF 18.6
  • IEEE Transactions on Knowledge and Data EngineeringIF 10.4
  • IEEE Transactions on Vehicular TechnologyIF 7.1
  • IEEE Transactions on Information Forensics & SecurityIF 6.3
  • IEEE Transactions on Consumer Electronics2025
02

Mentoring

SPEED Lab · Fall 2023 – present

I have mentored 15 PhD, master's and undergraduate students at SIU and FAU, mostly on thesis and research projects. Several have published at peer-reviewed venues and received research awards.

Muftiqur Rahman

PhD student, SPEED Lab, Florida Atlantic University.

Current
Varshini Raj Jampala

Master's student, Florida Atlantic University.

Current
Shelly Abramov

Master's student, Florida Atlantic University. Research mentoring and mentoring through the CS3 Validate program.

Current
Oleksandr Jockusch

Federated meta-learning for emotion- and sentiment-aware multimodal complaint identification.

IEEE SusTech 2024
Dina Famouri

Human activity recognition with keypoint analysis.

ICCV Workshops 2025
Prince Duo

Hallucination attacks and their impact on large language models.

Sai Sandhiptha Bayya

Fairness in federated learning for healthcare systems.

Mark Sidhom

A fine-tuned LLM for healthcare.

Revathi Gajjala

Physics-informed neural networks.

Veerendra Reddy Ayaluri

A federated learning testbed for mobile agents.

Srivatsa Tangirala

Poisoning attacks in federated learning using GANs.

Gireesh Nadh Mekala

Road traffic prediction with federated learning.

Venkata Gnana Prakash Paruchuri

Topic modelling of research articles with BERT.

Madhu Nimeshika Dasika

Skin cancer classification with transfer learning.

03

Community & talks

Organizing

Organized and coordinated sessions for the LLMs Nexus workshop on technical advances in LLMs and their ethical implications, funded by ORAU.

Talks

  • NAIRR Annual Meeting 2026, Arlington, VA: project presentation and demo
  • IEEE BigData 2024: robust encoders for vision-language models

Grants & students

  • Contributed to a funded NSF CRII proposal ($163K) and to NSF-, DoD- and DHS-funded projects.
  • General Secretary, Bangladeshi Student Association, SIU (Best RSO Award, 2024).