Kailash A. Hambarde

Profile

Currently a Researcher at the IT: Instituto de Telecomunicações in Portugal, focusing on long-range human recognition and biometric systems. Previously served as a Postdoctoral Researcher at the University of Beira Interior (UBI). Holds a Ph.D. in Computer Science from SRTM University, India, with a specialisation in machine learning. Prior experience includes Senior Data Scientist at Calance U.S., Data Scientist at NDS InfoServ. Experienced across academia and industry in AI, computer vision, and data science.

Areas of Expertise

Professional Experience

Education

Skills

Publications

1. DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
   Kailash A. Hambarde, Nzakiese Mbongo, M.P. Pavan Kumar, Satish Mekewad, Carolina Fernandes, Gökhan Silahtaroğlu, Alice Nithya, Pawan Wasnik, Md Rashidunnabi, Pranita Samale, Hugo Proença
   IEEE Transactions on Biometrics, Behavior, and Identity Science, IEEE, 2026 Journal
2. VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results
   Kailash A. Hambarde, Hugo Proença, Md Rashidunnabi, Pranita Samale, Qiwei Yang, Pingping Zhang, Zijing Gong, Yuhao Wang, Xi Zhang, Ruoshui Qu, Qiaoyun He, Yuhang Zhang, Thi Ngoc Ha Nguyen, Tien-Dung Mai, Cheng-Jun Kang, Yu-Fan Lin, Jin-Hui Jiang, Chih-Chung Hsu, Tamás Endrei, György Cserey, Ashwat Rajbhandari
   IEEE/CVF Winter Conference on Applications of Computer Vision Workshop (WACVW), 2026 Workshop Paper
3. VM-TAPS: View-specific Memory with Temporal and Scale Awareness Framework for Video-based Cross-View Person Re-Identification
   Md Rashidunnabi, Kailash A. Hambarde, Vasco Lopes, João C. Neves, Hugo Proença
   IJCB 2025: IEEE International Joint Conference on Biometrics in press
4. AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results
   Nguyen, Kien, Clinton Fookes, ..., Kailash A. Hambarde, Arun Ross et al.
   IJCB 2025: IEEE International Joint Conference on Biometrics in press · arXiv:2506.22843
5. Causality and "In-the-Wild" Video-Based Person Re-Identification: A Survey
   Md Rashidunnabi, Kailash A. Hambarde, Hugo Proença
   Electronics 14, no. 13 (2025): 2669 Journal
6. From One Domain to Another: The Pitfalls of Gender Recognition in Unseen Environments
   Nzakiese Mbongo, Kailash A. Hambarde, Hugo Proença
   Sensors 25, no. 13 (2025): 4161 Journal
7. LUSITANO-DATA: A Causal-Based Framework for Agnostic Intelligent Data Analysis
   Asmae Lamsaf, Kailash A. Hambarde, Pranita Samale, João C. Neves, Hugo Proença
   IEEE 2nd International Conference on Artificial Intelligence and Machine Vision (AIMV'25), 2025 Conference
8. Human Re-ID Meets LVLMs: What can we expect?
   Kailash A. Hambarde, Pranita Samale, Hugo Proença
   arXiv:2501.18698, 2025 Preprint
9. A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
   Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde, Hamzeh Mohammadigheymasi, Javier Mancilla, André Sequeira, João Neves, Hugo Proença, Moharram Challenger
   Quantum Information Processing, Vol. 24, No. 4, Article 106, Springer, 2025 Journal
10. Multimodal Iris, Face and Fingerprint Biometric Fusion for Enhanced Person Identification Using Hybrid Deep Learning
    S.B. Jadhav, N.K. Deshmukh, Kailash A. Hambarde, M.S. Darak
    Communications in Computer and Information Science, vol. 2621, Springer, 2026 Conference
11. Comparative Analysis of ViT (Vision Transformers) and Convolutional Neural Networks in Medical Imaging
    Pranita Samale, Kailash Hambarde, Hugo Proença
    Portuguese Conference on Pattern Recognition (RECPAD), 2024 Conference
12. Comparative Analysis of Faster R-CNN and YOLOv7 for Automated Fabric Defect Detection
    Rui Carrilho, Kailash Hambarde, Hugo Proença
    Portuguese Conference on Pattern Recognition (RECPAD), 2024 Conference
13. Towards Automated Fabric Defect Detection: A Survey of Recent Computer Vision Approaches
    Rui Carrilho, Ehsan Yaghoubi, José Lindo, Kailash A. Hambarde, Hugo Proença
    MDPI Electronics 13(18), 3728, 2024 Journal
14. A Novel Dataset for Fabric Defect Detection: Bridging Gaps in Anomaly Detection
    Rui Carrilho, Kailash A. Hambarde, Hugo Proença
    MDPI Applied Sciences 14(12), 2024 Journal
15. Image-based human re-identification: Which covariates are actually (the most) important?
    Kailash A. Hambarde, Hugo Proença
    Image and Vision Computing 143 (2024): 104917 Journal
16. Advancing Manufacturing Energy Efficiency: The Role of AI and Web-Based Tools
    Asmae Lamsaf, Pranita Samale, Hugo Proença, João C. Neves, Kailash A. Hambarde
    ESCI 2024, IEEE Conference
17. Information Retrieval: Recent Advances and Beyond
    Kailash A. Hambarde, Hugo Proença
    IEEE Access, vol. 11, pp. 76581–76604, 2023 Journal
18. WSRR: Weighted Rank-Relevance Sampling for Dense Text Retrieval
    Kailash A. Hambarde, Hugo Proença
    ICTIS 2023, Springer Singapore Conference
19. Diagnosis of Covid-19 via patient breath data using artificial intelligence
    Özge Doğuç, Gökhan Silahtaroğlu, Zehra Nur Canbolat, Kailash A. Hambarde et al.
    Emerging Science Journal, 2023 Journal
20. Augmentation of Behavioral Analysis Framework for E-Commerce Customers Using MLP-Based ANN
    Kailash A. Hambarde, Gökhan Silahtaroğlu et al.
    ICDSM 2019, Springer Singapore, 2020 Conference
21. Prediction of artificial water recharge sites using fusion of RS, GIS, AHP and GA Technologies
    Shaikh Husen, Santosh Khamitkar, Parag Bhalchandra, Preetam Tamsekar, Govind Kulkarni, Kailash A. Hambarde
    ICDSM 2019, Springer Singapore, 2020 Conference
22. Data analytics implemented over E-commerce data to evaluate performance of supervised learning approaches
    Kailash A. Hambarde, Gökhan Silahtaroğlu, Santosh Khamitkar et al.
    Soft Computing for Problem Solving, SocProS 2018, Springer Singapore, 2020 Conference
23. Comparative analysis of supervised machine learning algorithms for GIS-based crop selection prediction model
    Preetam Tamsekar, Kailash A. Hambarde et al.
    Computing and Network Sustainability, IRSCNS 2018, Springer Singapore, 2019 Conference
24. Architectural outline of GIS-based decision support system for crop selection
    Preetam Tamsekar, Kailash A. Hambarde, Vijay Bahuguna et al.
    Smart Computing and Informatics, SCI 2016, Springer Singapore, 2018 Conference
25. Architectural outline of decision support system for crop selection using GIS and DM techniques
    Preetam Tamsekar, Kailash A. Hambarde et al.
    Computing and Network Sustainability, IRSCNS 2016, Springer Singapore, 2017 Conference
26. Effective Use of GIS Based Spatial Pattern Technology for Urban Greenery Space Planning
    Govind Kulkarni, Kailash A. Hambarde et al.
    ICICA 2015, Springer Singapore, 2017 Conference

Invited Talks / Seminars

Conference Management and Committees

Peer Review Contributions

Online Courses & Certifications

• Applied Machine Learning in Python — University of Michigan, Coursera (Jan 2020)
• Applied Text Mining in Python — University of Michigan, Coursera (Jan 2020)
• How Google does Machine Learning — Google Cloud, Coursera (Feb 2020)
• Convolution Neural Networks in TensorFlow — DeepLearning.AI, Coursera (Apr 2020)
• Introduction to TensorFlow for AI, ML, and Deep Learning — DeepLearning.AI, Coursera (Apr 2020)
• Applied Social Network Analysis in Python — University of Michigan, Coursera (Mar 2020)

Languages

References