Portrait of Kailash A. Hambarde

Kailash A. Hambarde

Researcher, Instituto de Telecomunicações Lecturer, Department of Informatics, University of Beira Interior Covilhã, Portugal

I am a Researcher at the Instituto de Telecomunicações and a Lecturer (Docente) at the University of Beira Interior, Portugal, working in the Pattern and Image Analysis group (Thematic Line on Information and Data Sciences). My research focuses on computer vision, biometric recognition, person re-identification, and machine learning systems that stay reliable in unconstrained visual conditions — including aerial-ground and extreme far-distance scenarios. Before moving to Portugal I worked in industry as a Senior Data Scientist, and I hold a Ph.D. in Computer Science from SRTM University, India.

News

Sep 2026

Call for Papers — Guest Editor, IEEE T-BIOM Special Issue on Human Recognition in Aerial Surveillance. Deadline 15 December 2026; targeted publication Q4 2027. Open track plus extended versions of AERO-HPR @ CVPR 2026 and VReID-XFD @ WACV 2026. Submit via the T-BIOM portal, article type AERO-HPR. Contact: Kien Nguyen, Huy Nguyen.

May 2026

Awarded Outstanding Reviewer at IEEE Transactions on Biometrics, Behavior, and Identity Science (IEEE-TBIOM) — recognised for exceptional contributions to the peer review process.

Mar 2026

Ranked 2nd place in the Cross-View Re-Identification track at the CodaBench Competition.

Mar 2026

NTIRE 2026 Challenge @ CVPR 2026 — Ranked 7th out of 51 teams in the Image Shadow Removal Challenge and 6th out of 24 teams in the Image Denoising Challenge (noise level=50). First international collaboration work with Praful Hambarde (Assistant Professor, IIT Mandi, India).

Mar 2026

The VReID-XFD Workshop at WACV 2026 @Tucson, Arizona, USA is a Wrap All papers are now freely accessible via IEEE Xplore and CVF Open Access..

Apr 2025

Joined Instituto de Telecomunicações (IT) as a Researcher in the Pattern and Image Analysis group, Thematic Line on Information and Data Sciences.

Older news
Jan 2025

New preprint: Human Re-ID Meets LVLMs — What can we expect? — comparing ChatGPT-4o, Gemini-2.0-Flash, Claude 3.5 Sonnet, and Qwen-VL-Max to state-of-the-art ReID models.

Aug 2024

Paper published in Quantum Information Processing: A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning.

Oct 2023

Started as Postdoctoral Researcher at University of Beira Interior, leading projects on biometric recognition at extreme ranges.

Research

Person Re-Identification & Biometrics

Designing recognition systems that keep working at large scale, long range, and across camera domains.

Robust Vision Under Unconstrained Conditions

Understanding and mitigating the covariates that break recognition systems in real, unconstrained environments.

Applied ML, NLP & Data Science

Transferring research into practical systems — from smart manufacturing to healthcare document processing.

Selected publications

VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results
Kailash A. Hambarde, Hugo Proença, Md Rashidunnabi, Pranita Samale
IEEE/CVF Winter Conference on Applications of Computer Vision Workshop (WACVW), 2026
Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge
Sharayu N. Deshmukh, Kailash A. Hambarde, Joana C. Costa, Hugo Proença, Tiago Roxo
IEEE Access, 2026 (accepted)
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, 2026
Human Re-ID Meets LVLMs: What can we expect?
Kailash A. Hambarde, Pranita Samale, Hugo Proença
arXiv, 2025
Image-based human re-identification: Which covariates are actually (the most) important?
Kailash A. Hambarde, Hugo Proença
Image and Vision Computing, 2024
Information retrieval: recent advances and beyond
Kailash A. Hambarde, Hugo Proença
IEEE Access, 2023

All publications

A complete and up-to-date list is also on Google Scholar.

2026

VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results
Kailash A. Hambarde, Hugo Proença, Md Rashidunnabi, Pranita Samale
IEEE/CVF Winter Conference on Applications of Computer Vision Workshop (WACVW), 2026
The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results
Kailash A. Hambarde, Hugo Proença
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Advances in Single-Image Shadow Removal: Results from the NTIRE 2026 Challenge
Kailash A. Hambarde
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2582–2595, 2026
Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge
Sharayu N. Deshmukh, Kailash A. Hambarde, Joana C. Costa, Hugo Proença, Tiago Roxo
IEEE Access, 2026 (accepted)
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, 2026

2025

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 Neves, Hugo Proença
IJCB 2025: IEEE International Joint Conference on Biometrics
AG-VPReID 2025: Aerial-Ground Video-based Person Re-identification Challenge Results
Kailash A. Hambarde, Hugo Proença
IJCB 2025: IEEE International Joint Conference on Biometrics
Causality and 'In-the-Wild' Video-Based Person Re-Identification: A Survey
Md Rashidunnabi, Kailash A. Hambarde, Hugo Proença
Electronics, 2025
From One Domain to Another: The Pitfalls of Gender Recognition in Unseen Environments
Nzakiese Mbongo, Kailash A. Hambarde, Hugo Proença
Sensors, 2025
LUSITANO-DATA: A Causal-Based Framework for Agnostic Intelligent Data Analysis
Asmae Lamsaf, Kailash A. Hambarde, Pranita Samale, João Neves, Hugo Proença
IEEE 2nd International Conference on Artificial Intelligence and Machine Vision (AIMV'25), 2025
Human Re-ID Meets LVLMs: What can we expect?
Kailash A. Hambarde, Pranita Samale, Hugo Proença
arXiv, 2025
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
Hamed Gholipour, Farid Bozorgnia, Kailash A. Hambarde, Hamzeh Mohammadigheymasi, Javier Mancilla, André Sequeira, João Neves, Hugo Proença, Moharram Challenger
Quantum Information Processing, Vol. 24, No. 4, Article 106, Springer, 2025

2024

Multimodal Iris, Face and Fingerprint Biometric Fusion for Enhanced Person Identification Using Hybrid Deep Learning
Kailash A. Hambarde, Hugo Proença
Applied Artificial Intelligence, 2AI 2024, Communications in Computer and Information Science vol. 2621, Springer, 2026
Comparative Analysis of ViT (Vision Transformers) and Convolutional Neural Networks in Medical Imaging
Pranita Samale, Kailash A. Hambarde, Hugo Proença
Portuguese Conference on Pattern Recognition (RECPAD), 2024
Comparative Analysis of Faster R-CNN and YOLOv7 for Automated Fabric Defect Detection
Rui Carrilho, Kailash A. Hambarde, Hugo Proença
Portuguese Conference on Pattern Recognition (RECPAD), 2024
Toward automated fabric defect detection: A survey of recent computer vision approaches
Rui Carrilho, Ehsan Yaghoubi, José Lindo, Kailash A. Hambarde, Hugo Proença
Electronics, 2024
A novel dataset for fabric defect detection: bridging gaps in anomaly detection
Rui Carrilho, Kailash A. Hambarde, Hugo Proença
Applied Sciences, 2024
Image-based human re-identification: Which covariates are actually (the most) important?
Kailash A. Hambarde, Hugo Proença
Image and Vision Computing, 2024
Advancing Manufacturing Energy Efficiency: The Role of AI and Web-Based Tools
Asmae Lamsaf, Pranita Samale, Hugo Proença, João Neves, Kailash A. Hambarde
ESCI 2024, IEEE

2023

Information retrieval: recent advances and beyond
Kailash A. Hambarde, Hugo Proença
IEEE Access, 2023
WSRR: Weighted Rank-Relevance Sampling for Dense Text Retrieval
Kailash A. Hambarde, Hugo Proença
International Conference on Information and Communication Technology for Intelligent Systems, 2023
Diagnosis of Covid-19 via patient breath data using artificial intelligence
Özge Doğuç, Gökhan Silahtaroğlu, Zehra Nur Canbolat, Kailash A. Hambarde, Ahmet Alperen Yiğitbaşı, Hasan Gökay, Mesut Yılmaz
Emerging Science Journal, 2023

2020

Augmentation of behavioral analysis framework for E-commerce customers using MLP-based ANN
Kailash A. Hambarde, Gökhan Silahtaroğlu, Santosh Khamitkar, Parag Bhalchandra, Husen Shaikh, Pritam Tamsekar, Govind Kulkarni
ICDSM, 2020

2019

Data analytics implemented over E-commerce data to evaluate performance of supervised learning approaches in relation to customer behavior
Kailash A. Hambarde, Gökhan Silahtaroğlu, Santosh Khamitkar, Parag Bhalchandra, Husen Shaikh, Pritam Tamsekar, Govind Kulkarni, Pranita Samale
Soft Computing for Problem Solving, 2019
Prediction of artificial water recharge sites using fusion of RS, GIS, AHP and GA Technologies
Husen Shaikh, Santosh Khamitkar, Parag Bhalchandra, Pritam Tamsekar, Govind Kulkarni, Kailash A. Hambarde
Advances in Data Science and Management, ICDSM 2019

2018

Comparative analysis of supervised machine learning algorithms for GIS-based crop selection prediction model
Pritam Tamsekar, Nilesh Deshmukh, Parag Bhalchandra, Govind Kulkarni, Kailash A. Hambarde, Husen Shaikh
Computing and Network Sustainability, IRSCNS 2018

2016

Architectural outline of GIS-based decision support system for crop selection
Pritam Tamsekar, Nilesh Deshmukh, Parag Bhalchandra, Govind Kulkarni, Kailash A. Hambarde, Husen Shaikh
Smart Computing and Informatics, SCI 2016
Architectural outline of decision support system for crop selection using GIS and DM techniques
Pritam Tamsekar, Nilesh Deshmukh, Parag Bhalchandra, Govind Kulkarni, Kailash A. Hambarde, Husen Shaikh
Computing and Network Sustainability, IRSCNS 2016

2015

Effective Use of GIS Based Spatial Pattern Technology for Urban Greenery Space Planning
Govind Kulkarni, Nilesh Deshmukh, Parag Bhalchandra, Pritam Tamsekar, Kailash A. Hambarde, Husen Shaikh
2nd International Conference on Intelligent Computing and Applications (ICICA 2015)

Projects

Biometric Recognition at Extreme Ranges
Project Coordinator
Coordinated research on long-range human recognition in collaboration with 6 international universities, leading to the DetReIDX dataset and the VReID-XFD workshop at WACV 2026.
Automated Fabric Defect Detection Prototype
Researcher / Project Management · Portugal Recovery and Resilience Plan (PRR)
Contributed to project management and developed a computer-vision prototype for automated fabric defect detection with a Portuguese textile company.
NLP for Clinical Trial Document Analysis
Researcher · FEDER · Fundo de Coesão · Fundo Social Europeu (Portugal 2020)
Developed NLP models to process and extract relevant information from clinical trial documents.
Crime Hotspot Detection & Visualisation in Nanded City
Project Fellow · Government of Maharashtra (INR 108,000)
Identified crime hotspots using historical FIR data, Random Forest and GIS tools, producing heatmaps and recommendations for police resource allocation.

Committees

IEEE T-BIOM Special Issue on Human Recognition in Aerial Surveillance
Guest Editor
Call for papers: submission deadline 15 December 2026; targeted publication Q4 2027. Open submissions and substantially extended versions of AERO-HPR (CVPR 2026) and VReID-XFD (WACV 2026) papers. Submit via the T-BIOM portal, article type AERO-HPR.
1st Workshop on Video-based Human Recognition at Extreme Far Distances (VReID-XFD) @ WACV 2026
Organising Committee Member (Secondary Contact & Co-organiser)
Responsible for coordination of the DetReIDX Challenge, reviewer engagement, and communication management.
2nd International Conference on AI-Generated Content (AIGC 2024)
Program Committee Member
Beijing, China.

Lecture courses

Laboratórios de Programação
Lecturer · Universidade da Beira Interior · Engenharia Informática

Supervision

M.Sc. theses

As Co-supervisor

Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge
M.Sc. student, Sharayu Nilesh Deshmukh

B.Sc. theses

As Co-supervisor

Bias Analysis in LLMs
B.Sc. student, Gonçalo Alexandre Caixeiro

Talks

ReID Meets LVLMs (ChatGPT-4o, Gemini-2.0, Claude 3.5 Sonnet, Qwen-VL-Max)
ATAL Online Faculty Development Programme on AI/ML for Healthcare and IoT · School of Computational Sciences, SRTM University
Plenary Talk — Recent Trends in Pure and Applied Sciences
ICRTPAS-23 · Rajarambapu Institute of Technology, Sangli, India
Guest Talk — Role of Data Science in Mathematical Problem Solving
National Mathematics Day 2022 · Dept. of Mathematics, Late Pushpadevi Patil College, Risod, India