Satishkumar Raghavrao Mekewad

@srtmun.ac.in

Assistant Professor School of Computational Sciences
Swami Ramanand Teerth Marathwada University Nanded

Satishkumar Raghavrao Mekewad


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https://researchid.co/satishm

RESEARCH INTERESTS

Data Science, Networking
8

Scopus Publications

26

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
    Kailash A. Hambarde, Nzakiese Mbongo, MP 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
    Person reidentification (ReID) technology is considered to perform relatively well under controlled, ground-level conditions, but also to break down when deployed in challenging <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">real-world</i> settings. This is due to extreme data variability factors such as resolution, viewpoint changes, scale variations, occlusions, and appearance shifts from clothing/session drifts. Also, the publicly available data sets do not realistically incorporate such kinds and magnitudes of variability, which limits the progress of this technology. This paper introduces <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DetReIDX</i>, a large-scale aerial-ground person dataset, that was explicitly designed as a stress test to ReID under real-world conditions. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DetReIDX</i> is a multi-session set that includes over 18 million bounding boxes from 553 identities, collected in seven university campuses from three continents, with drone altitudes between 5.8 and 120 meters. Singularly, as a key novelty, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DetReIDX</i> subjects were recorded in (at least) two sessions on different days, with changes in clothing, daylight and location, making it suitable to actually evaluate <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">long-term</i> person ReID. Further, data were annotated from 16 soft biometric attributes and multitask labels for detection, tracking, ReID, and action recognition. In order to provide empirical objective evidence of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DetReIDX</i> usefulness, we considered the specific tasks of human detection, ReID and tracking, and observed that SOTA methods catastrophically degrade performance (up to 80% in detection accuracy and over 70% in Rank-1 ReID) when exposed to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DetReIDX</i>’s conditions. The dataset, annotations, and official evaluation protocols are publicly available at https://www.it.ubi.pt/DetReIDX/.
  • Discovery of Usage Pattern from Mobile Call Data Using Clustering Approaches
    Satishkumar Mekeawd, Santosh Khamitkar, Parag Bhalchandra, Sakharam Lokhande
    Cognitive Science and Technology, 2023
  • Statistically validating intrusion detection framework against selected dos attacks in ad hoc networks: An NS-2 simulation study
    Sakharam Lokhande, Parag Bhalchandra, Santosh Khamitkar, Nilesh Deshmukh, Satish Mekewad, Pawan Wasnik
    Advances in Intelligent Systems and Computing, 2016
  • Performance analysis of selected data mining algorithms on social network data and discovery of user latent behavior
    Santosh Phulari, Parag Bhalchandra, Santosh Khamitkar, Nilesh Deshmukh, Sakharam Lokhande, Satish Mekewad, Pawan Wasnik
    Advances in Intelligent Systems and Computing, 2016
  • Characterization of fuzzy tree searches: A perspective note
    Parag Bhalchandra, Santosh Khamitkar, Nilesh Deshmukh, Sakharam Lokhande, Satish Mekewad
    Advances in Intelligent Systems and Computing, 2015
  • Propagation of knowledge from crisp and soft clustering through a granular hierarchy
    Pawan Lingras, P. Bhalchandra, S. Khamitkar, S. Mekewad, R. Rathod
    Proceedings of the 2012 12th International Conference on Hybrid Intelligent Systems His 2012, 2012
    Information granules allow us to abstract real world objects using their relevant attributes. Level of abstraction allows us to create a network of information granules that are connected to each other through a real-world relationship. For example, the phone calls are connected to the origin and destination phone numbers. This paper describes the relationship between clustering schemes by propagating the information through the connection between granules. We focus on the hierarchical granular graphs, where phone numbers represent the higher level (coarser) granules that are connected to phone calls which are lower level (finer) granules. The paper studies the effect of transferring crisp and fuzzy clustering schemes through the granular hierarchy. The fuzzy clustering is shown to provide a better technique for such a transfer. Rough clustering derived from fuzzy clustering is shown to be a good instrument for comparing crisp and fuzzy clustering schemes.
  • Crisp and soft clustering of mobile calls
    Pawan Lingras, Parag Bhalchandra, Santosh Khamitkar, Satish Mekewad, Ravindra Rathod
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2011
  • Comparing clustering schemes at two levels of granularity for mobile call mining
    Pawan Lingras, Parag Bhalchandra, Satish Mekewad, Ravindra Rathod, Santosh Khamitkar
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2011

RECENT SCHOLAR PUBLICATIONS

  • DetReIDX : A Stress-Test Dataset for Real-World UAV-Based Person Recognition
    KA Hambarde, N Mbongo, MPP Kumar, S Mekewad, C Fernandes, ...
    IEEE Transactions on Biometrics, Behavior, and Identity Science , 2026
    2026.0
    Citations: 12
  • Application of Deep Learning for Society
    P Bhalchandra, S Khamitkar, S Lokhande, S Mekewad, G Kurundkar
    SIRJANA JOURNAL 54 (9), 8 - 13 , 2024
    2024.0
  • Need for a Classifier to Identify Original CD-Rip Wave Files versus MP3 Converted Wave Files
    S Khamitkar, S Lokhande, P Bhalchandra, S Mekewad
    JOURNAL OF COMPUTER SCIENCE (ISSN NO: 1549-3636) 17 (03) , 2024
    2024.0
  • Computer Vision with Causal Inference/Learning: A Deep Learning Approach Notes
    K Hambarde
    Preprints , 2023
    2023.0
  • Discovery of Usage Pattern from Mobile Call Data Using Clustering Approaches
    S Mekeawd, S Khamitkar, P Bhalchandra, S Lokhande
    International Conference on Information and Management Engineering, 771-779 , 2022
    2022.0
    Citations: 1
  • Variations of K-Means Clustering Algorithm
    S Mekewad, S Khamitkar
    Asian Journal of Organic & Medicinal Chemistry 7 (Special Issue), 1693-1695 , 2022
    2022.0
  • COVID-19 Pandemic and India
    N PRESS
    2021.0
  • World Journal of Engineering Research and Technology WJERT
    SS Jadhav, SN Lokhande, PU Bhalchandra, SD Khmaitkar, ...
    World Journal of Engineering 2 (6), 34-48 , 2016
    2016.0
  • Performance analysis of selected data mining algorithms on social network data and discovery of user latent behavior
    S Phulari, P Bhalchandra, S Khamitkar, N Deshmukh, S Lokhande, ...
    Computational Intelligence in Data Mining—Volume 2: Proceedings of the … , 2015
    2015.0
    Citations: 2
  • Statistically Validating Intrusion Detection Framework Against Selected DoS Attacks in Ad Hoc Networks: An NS-2 Simulation Study
    S Lokhande, P Bhalchandra, S Khamitkar, N Deshmukh, S Mekewad, ...
    Computational Intelligence in Data Mining—Volume 1: Proceedings of the … , 2015
    2015.0
  • Characterization of fuzzy tree searches: A perspective note
    P Bhalchandra, S Khamitkar, N Deshmukh, S Lokhande, S Mekewad
    Intelligent Computing and Applications: Proceedings of the International … , 2015
    2015.0
    Citations: 1
  • Propagation of knowledge from crisp and soft clustering through a granular hierarchy
    P Lingras, P Bhalchandra, S Khamitkar, S Mekewad, R Rathod
    2012 12th International Conference on Hybrid Intelligent Systems (HIS), 6-11 , 2012
    2012.0
  • Multi-disciplinary Trends in Artificial Intelligence: 5th International Workshop, MIWAI 2011, Hyderabad, India, December 7-9, 2011. Proceedings
    C Sombattheera, A Agarwal, SK Udgata, K Lavangnananda
    Springer , 2011
    2011.0
    Citations: 2
  • Crisp and soft clustering of mobile calls
    P Lingras, P Bhalchandra, S Khamitkar, S Mekewad, R Rathod
    International Workshop on Multi-disciplinary Trends in Artificial … , 2011
    2011.0
    Citations: 5
  • Comparing clustering schemes at two levels of granularity for mobile call mining
    P Lingras, P Bhalchandra, S Mekewad, R Rathod, S Khamitkar
    International Conference on Rough Sets and Knowledge Technology, 696-705 , 2011
    2011.0
    Citations: 3
  • A Survey on research challenges in Wireless Mesh Networks
    MMD Wangikar, MSR Mekewad, M Mahamune
  • Mitigation of Data Flooding Attacks in Ad Hoc Networks: An NS-2 Simulation Study
    SN Lokhande, NK Deshmukh, PU Bhalchandra, MSR Mekewad, ...

MOST CITED SCHOLAR PUBLICATIONS

  • DetReIDX : A Stress-Test Dataset for Real-World UAV-Based Person Recognition
    KA Hambarde, N Mbongo, MPP Kumar, S Mekewad, C Fernandes, ...
    IEEE Transactions on Biometrics, Behavior, and Identity Science , 2026
    2026.0
    Citations: 12
  • Crisp and soft clustering of mobile calls
    P Lingras, P Bhalchandra, S Khamitkar, S Mekewad, R Rathod
    International Workshop on Multi-disciplinary Trends in Artificial … , 2011
    2011.0
    Citations: 5
  • Comparing clustering schemes at two levels of granularity for mobile call mining
    P Lingras, P Bhalchandra, S Mekewad, R Rathod, S Khamitkar
    International Conference on Rough Sets and Knowledge Technology, 696-705 , 2011
    2011.0
    Citations: 3
  • Performance analysis of selected data mining algorithms on social network data and discovery of user latent behavior
    S Phulari, P Bhalchandra, S Khamitkar, N Deshmukh, S Lokhande, ...
    Computational Intelligence in Data Mining—Volume 2: Proceedings of the … , 2015
    2015.0
    Citations: 2
  • Multi-disciplinary Trends in Artificial Intelligence: 5th International Workshop, MIWAI 2011, Hyderabad, India, December 7-9, 2011. Proceedings
    C Sombattheera, A Agarwal, SK Udgata, K Lavangnananda
    Springer , 2011
    2011.0
    Citations: 2
  • Discovery of Usage Pattern from Mobile Call Data Using Clustering Approaches
    S Mekeawd, S Khamitkar, P Bhalchandra, S Lokhande
    International Conference on Information and Management Engineering, 771-779 , 2022
    2022.0
    Citations: 1
  • Characterization of fuzzy tree searches: A perspective note
    P Bhalchandra, S Khamitkar, N Deshmukh, S Lokhande, S Mekewad
    Intelligent Computing and Applications: Proceedings of the International … , 2015
    2015.0
    Citations: 1
  • Application of Deep Learning for Society
    P Bhalchandra, S Khamitkar, S Lokhande, S Mekewad, G Kurundkar
    SIRJANA JOURNAL 54 (9), 8 - 13 , 2024
    2024.0
  • Need for a Classifier to Identify Original CD-Rip Wave Files versus MP3 Converted Wave Files
    S Khamitkar, S Lokhande, P Bhalchandra, S Mekewad
    JOURNAL OF COMPUTER SCIENCE (ISSN NO: 1549-3636) 17 (03) , 2024
    2024.0
  • Computer Vision with Causal Inference/Learning: A Deep Learning Approach Notes
    K Hambarde
    Preprints , 2023
    2023.0
  • Variations of K-Means Clustering Algorithm
    S Mekewad, S Khamitkar
    Asian Journal of Organic & Medicinal Chemistry 7 (Special Issue), 1693-1695 , 2022
    2022.0
  • COVID-19 Pandemic and India
    N PRESS
    2021.0
  • World Journal of Engineering Research and Technology WJERT
    SS Jadhav, SN Lokhande, PU Bhalchandra, SD Khmaitkar, ...
    World Journal of Engineering 2 (6), 34-48 , 2016
    2016.0
  • Statistically Validating Intrusion Detection Framework Against Selected DoS Attacks in Ad Hoc Networks: An NS-2 Simulation Study
    S Lokhande, P Bhalchandra, S Khamitkar, N Deshmukh, S Mekewad, ...
    Computational Intelligence in Data Mining—Volume 1: Proceedings of the … , 2015
    2015.0
  • Propagation of knowledge from crisp and soft clustering through a granular hierarchy
    P Lingras, P Bhalchandra, S Khamitkar, S Mekewad, R Rathod
    2012 12th International Conference on Hybrid Intelligent Systems (HIS), 6-11 , 2012
    2012.0
  • A Survey on research challenges in Wireless Mesh Networks
    MMD Wangikar, MSR Mekewad, M Mahamune
  • Mitigation of Data Flooding Attacks in Ad Hoc Networks: An NS-2 Simulation Study
    SN Lokhande, NK Deshmukh, PU Bhalchandra, MSR Mekewad, ...