Sagar Lachure | Hydrology | Best Researcher Award

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Mr. Sagar Lachure | Hydrology | Best Researcher Award

Researcher, VNIT Nagpur India

Sagar Suraj Lachure is an Assistant Professor at VJTI Mumbai, specializing in Computer Science and Engineering. He holds an M.Tech from Government College of Engineering, Amravati, and is pursuing a Ph.D. at Visvesvaraya National Institute of Technology, Nagpur. With over a decade of teaching and research experience, his work focuses on machine learning, quantum computing, and artificial intelligence applications in climate change, healthcare, and security. He has published extensively in reputed journals and conferences. Lachure actively mentors students and participates in FDPs and global research collaborations, contributing to technological advancements.

Profile

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Orcid

🎓 Education 

Ph.D. (Pursuing) – CSE, VNIT, Nagpur. M.Tech (CSE) – Govt. College of Engineering, Amravati (2013, CGPA: 8.22). B.E. (IT) – HVPM COET, Amravati (2009, 66.31%). H.S.C. – B B Arts, B P Science College, Digras (2005, 70%). S.S.C. – Dinabai High School, Digras (2003, 64%). Cleared UGC-NET (2017, 2019), GATE (2019, 2020), and PAT-SGBAU. Certified in Data Science (IBM) and QWorld Quantum Computing programs.

🏢 Experience 

Assistant Professor, VJTI Mumbai (Present). Assistant Professor, YCCE, Nagpur (2013-2019). Lecturer, HVPM COET, Amravati (6 months). Mentored research projects on Quantum Computing, AI, and ML. Conducted FDPs and workshops on Data Science and AI. Published extensively in international journals and conferences. Research collaborations in climate change modeling, healthcare AI, and cybersecurity.

🏆 Awards & Honors 

Best Paper Presentation Award (IEEE & Elsevier Conferences). Research Excellence Award (2015) – GEU, Dehradun. Early Career Research Award (SERB, 2017). DST Travel Grant (2012) – USA Conference. Memberships – IAAM, IEEE, ACM. Government Grants for AI-based research projects. Workshop Grants – DTE & GUCOST. Quantum Computing Mentor – QWorld & QLearn2022.

🔬 Research Focus 

Quantum Computing & Machine Learning – Applications in climate change and security. Artificial Intelligence & Data Science – AI-driven environmental modeling. Cybersecurity & Cloud Computing – Defense against SQL injection attacks. Healthcare AI – Diabetic Retinopathy detection using deep learning. Smart Agriculture & IoT – AI-driven precision farming. Flood & Drought Prediction – AI-based hydrological modeling. Real-time Air Quality Monitoring – AI-powered environmental resilience.

🔹 Conclusion

Dr. Sagar Suraj Lachure exhibits a commendable blend of academic qualifications, diverse research endeavors, and a commitment to continuous learning. By honing his research focus and seeking greater international engagement, he can further strengthen his candidacy for the Best Researcher Award.

Publication

1️⃣ Advanced Deep Learning Approaches for Superior Temporal Analysis and Forecasting of Water Level Discharge for the Bamni River

Year: 2025
Authors: S. S. Lachure, Ashish Tiwari
Journal: International Journal of River Basin Management
DOI: 10.1080/15715124.2025.2458208

2️⃣ Enhancing Environmental Resilience: Artificial Intelligence for Air Quality Monitoring and Prediction

Year: 2024
Type: Book Chapter
Authors: Ankit Mahule, Kaushik Roy, Ankush D. Sawarkar, Sagar Lachure
ISBN: 9781032683805
DOI: 10.1201/9781032683805-4

3️⃣ Impact of Land Use and Rainfall Change on Runoff and Flood Resilience of an Urban Environment: A Case Study of Chennai City, India

Year: 2024
Authors: Asheesh Sharma, Mandeep Poonia, Ankush Rai, Rajesh B. Biniwale, Ashish Tiwari, Sagar Lachure, Franziska Tuegel, Ekkehard Holzbecher, Reinhard Hinkelmann
Journal: Arabian Journal of Geosciences
ISSN: 1866-7511, 1866-7538
DOI: 10.1007/s12517-024-11985-6

4️⃣ Quantum Machine Learning Applications to Address Climate Change

Year: 2023
Type: Book Chapter
Authors: Sagar Suraj Lachure, Ashwin Lohidasan, Ashish Tiwari, Meera Dhabu, Neeraj Dhanraj Bokde
Book: Advances in Systems Analysis, Software Engineering, and High-Performance Computing
ISBN: 9781668466971, 9781668466988
ISSN: 2327-3453, 2327-3461
DOI: 10.4018/978-1-6684-6697-1.ch004

5️⃣ Performance of 125 Watt PV Module Using MATLAB-Simulink

Year: 2017
Type: Conference Paper
Authors: Pagrut, U.P.; Sindekar, A.S.; Lachure, S.S.; Lachure, J.S.
Conference: 3rd IEEE International Conference on Advances in Electrical and Electronics, Information, Communication and Bio-Informatics (AEEICB)
DOI: 10.1109/AEEICB.2017.7972381

6️⃣ Diabetic Retinopathy Using Morphological Operations and Machine Learning

Year: 2015
Type: Conference Paper
Authors: Lachure, J.; Deorankar, A.V.; Lachure, S.; Gupta, S.; Jadhav, R.
Conference: IEEE International Advance Computing Conference (IACC)
DOI: 10.1109/IADCC.2015.7154781

7️⃣ Review on Precision Agriculture Using Wireless Sensor Network

 Year: 2015
 Authors: Lachure, S.; Bhagat, A.; Lachure, J.
 Journal: International Journal of Applied Engineering Research
 ISSN: 0973-9769, 0973-4562
 EID: 2-s2.0-84942605763

Yousif Mousa | Remote Sensing | Best Researcher Award

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Dr. Yousif Mousa | Remote Sensing | Best Researcher Award

Adjunct Research Fellow, Curtin University and Al-Muthanna University Iraq

Dr. Yousif A. Mousa, a prominent academic in Surveying Engineering, specializes in Photogrammetry and Remote Sensing. He holds a Ph.D. from Curtin University and has a rich academic history, with research contributions focusing on satellite and UAV image processing. With extensive experience in academia, Dr. Mousa has taught at institutions such as Al-Muthanna University and Curtin University. His scientific activities, particularly in the areas of mapping, GIS, and urban planning, have led him to review for international journals and publish influential papers on building detection and DTM extraction.

Profile

Scopus

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🎓 Education

Dr. Mousa completed his Ph.D. in Surveying Engineering, specializing in Photogrammetry and Remote Sensing, from Curtin University (2020). He also holds a Master’s degree in Surveying Engineering from Baghdad University (2010) and a Bachelor’s degree from the same institution (2007). His academic journey has been marked by strong analytical and technical foundations in geospatial sciences, laying the groundwork for his contributions in spatial analysis and remote sensing.

💼 Experience 

Dr. Mousa has been a Lecturer at Al-Muthanna University since 2010, teaching subjects related to surveying and photogrammetry. He has also served as a casual academic at Curtin University (2016-2020), tutoring in Photogrammetry, Applied Cartography, and Advanced Photogrammetry. Additionally, he worked as an Adjunct Research Fellow at Curtin University (2020-2024). His academic contributions extend to urban planning and GIS work for Muthanna Governorate and research on Sawa Lake’s water level decline for environmental protection.

🏆 Awards and Honors 

Dr. Mousa’s career has been distinguished by numerous accolades, including recognition for his groundbreaking research in remote sensing. His work has been published in leading journals like the Canadian Journal of Remote Sensing and Remote Sensing of Environment. His commitment to research excellence is reflected in his role as a reviewer for top journals in his field. His ongoing contributions have made a significant impact in the realms of photogrammetry, remote sensing, and GIS.

🔬 Research Focus

Dr. Mousa’s research focuses on remote sensing, photogrammetry, and GIS applications, particularly in building detection, DTM extraction, and environmental monitoring using UAV and satellite data. He has pioneered new approaches to spatial analysis, particularly in urban mapping and environmental monitoring, such as investigating Sawa Lake’s physical parameters and drought impacts. His ongoing work involves developing efficient algorithms for processing spatial data, advancing technologies for mapping and urban planning.

Conclusion 

Dr. Yousif A. Mousa is undoubtedly a leading figure in the field of Surveying Engineering, with particular strengths in Photogrammetry and Remote Sensing. His solid academic foundation, combined with significant contributions to environmental and geospatial research, make him a strong candidate for the Best Researcher Award. While there are opportunities to broaden his interdisciplinary collaborations and practical applications, his work has already proven to be valuable, impactful, and cutting-edge in the realm of remote sensing and geospatial technologies. His continued contributions promise to further the advancement of these fields and tackle pressing environmental issues.

Publication

  1. Title: Comparison Study of Three Building Regularization Algorithms
    Authors: Bulatov, D., Mousa, Y.A., Helmholz, P.
    Conference: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    Year: 2024
    Volume: 10(4), pp. 59–66
    Citations: 0

 

  1. Title: Building Detection and Outlining in Multi-Modal Remote Sensor Data: A Stratified Approach
    Authors: Böge, M., Mousa, Y.A., Bulatov, D., Qiu, K.
    Journal: Canadian Journal of Remote Sensing
    Year: 2024
    Volume: 50(1), 2430490
    Citations: 0

 

  1. Title: Spatio-Temporal Analysis of Sawa Lake’s Physical Parameters between (1985–2020) and Drought Investigations Using Landsat Imageries
    Authors: Mousa, Y.A., Hasan, A.F., Helmholz, P.
    Journal: Remote Sensing
    Year: 2022
    Volume: 14(8), 1831
    Citations: 4

 

  1. Title: DTM Extraction and Building Detection in DSMs Having Large Holes
    Authors: Mousa, Y.A., Bulatov, D., Abed, F.M., Helmholz, P.
    Conference: Proceedings of SPIE – The International Society for Optical Engineering
    Year: 2021
    Volume: 11864, 118640H
    Citations: 3

 

  1. Title: Geo-locating Historical Survey Data and Images – A Case Study for the Canning River, Perth, Western Australia
    Authors: Helmholz, P., Mousa, Y., Snow, T., Tonkin, J., Lamont, W.
    Conference: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives
    Year: 2020
    Volume: 43(B4), pp. 575–582
    Citations: 1

 

  1. Title: Building Detection and Regularisation Using DSM and Imagery Information
    Authors: Mousa, Y.A., Helmholz, P., Belton, D., Bulatov, D.
    Journal: Photogrammetric Record
    Year: 2019
    Volume: 34(165), pp. 85–107
    Citations: 28

 

  1. Title: New DTM Extraction Approach from Airborne Images Derived DSM
    Authors: Mousa, Y.A.-K., Helmholz, P., Belton, D.
    Conference: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives
    Year: 2017
    Volume: 42(1W1), pp. 75–82
    Citations: 23