Dr. Himanshoo Verma | Wind analysis | Best Researcher Award
Visvesvaraya National Institute of Technology, nagpur, India
Author Profile
🧑🎓 Early Academic Pursuits
Dr. Himanshoo Verma, a promising researcher in the domain of structural and wind engineering, began his academic journey with a Bachelor of Engineering (B.E.) in Civil Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, in 2015, graduating with an impressive 82.2%. His early education laid a strong foundation in civil engineering concepts, sparking a growing interest in wind-structure interaction.
He went on to pursue an M.Tech in Structural Engineering from RGPV in 2019, further deepening his understanding of structures under various load conditions. His academic excellence and passion for advanced research culminated in his enrolment for a Ph.D. in Structural and Wind Engineering at Visvesvaraya National Institute of Technology (VNIT), Nagpur, with an expected completion in September 2024. His doctoral research is a testament to his academic rigor, exploring complex aerodynamic phenomena affecting tall buildings using state-of-the-art Computational Fluid Dynamics (CFD) and Artificial Intelligence (AI) models.
🧑💼 Professional Endeavors
Dr. Verma’s professional journey reflects a well-rounded blend of academia, industry, and consultancy. His early teaching stints include positions as Lecturer and Assistant Professor in institutes like OIST Bhopal, KCNIT Banda, and OGI Bhopal. Here, he mentored future civil engineers and shared his expertise in structural design, CFD simulations, and machine learning applications in wind engineering.
He has actively contributed to structural proof checking and design of various public infrastructure projects, including:
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🏢 Government Printing Press for SPD Infra Consultants Pvt. Ltd.
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🏫 Hostel buildings for S.N.D.T. Women’s University and GIRLS HOSTEL Bijepar.
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🏥 AIIMS Raipur structures and water treatment plants for AQUADESS.
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🛫 Structural audit of the terminal building at Shirdi Airport.
These roles emphasized his expertise in tools such as STAAD-Pro, ETABS, ANSYS (CFD), and OpenFOAM, further supported by Python and MATLAB for predictive modeling.
🔬 Contributions and Research Focus
Dr. Verma’s research focus is centered on wind interference effects on C-shaped tall buildings, with an emphasis on machine learning and CFD simulation. His Ph.D. thesis, titled “Study of Wind Interference due to C-Shaped Tall Building using CFD and AI-ML”, aims to improve wind load predictions on high-rise buildings — a crucial aspect for ensuring structural safety and economic design 🏙️💨.
His research is structured into:
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CFD simulations of tall C-shaped buildings,
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Calculation of pressure, force, and moment coefficients, and
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Development and validation of AI/ML models (e.g., ANFIS, soft computing).
These models promise to save time ⏱️ and resources 💰 for building designers, offering robust tools for aerodynamic prediction and substructure-superstructure interaction analysis.
📚 Accolades and Recognition
Dr. Verma has published 4 peer-reviewed SCI-indexed journal articles, including in prestigious outlets like:
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Structures (Elsevier) – Forecasting pressure coefficients using ML models (2025),
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KSCE Journal of Civil Engineering – Aerodynamic coefficients using ANFIS (2024),
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Structures and Buildings (ICE Publishing) – Soft computing models for C-shaped buildings (2024),
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Wind and Structures – CFD-based wind interference studies (2023).
He also published in Springer’s Lecture Notes in Civil Engineering (SCOPUS-indexed), showcasing predictive modeling techniques in wind engineering contexts. Dr. Verma regularly presents at national conferences, such as SEC 2023 (VNIT Nagpur) and the 10th National Conference on Wind Engineering (VIT Chennai, 2024).
Moreover, he serves as a reviewer for respected journals like:
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Proceedings of the Institution of Civil Engineers – Structures and Buildings 🏗️
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Engineering Sustainability ♻️
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Journal of Building Simulation
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Wind and Structures 🌪️
🌍 Impact and Influence
Dr. Verma’s work lies at the intersection of civil engineering, AI, and sustainability. His approach using machine learning for wind load estimation represents a futuristic stride in structural design methodologies. By enabling quicker and more accurate design decisions, his research supports the development of safer, cost-effective, and sustainable high-rise infrastructure in urban environments 🌆.
His hybrid modeling techniques serve as a blueprint for interdisciplinary research across CFD, AI, and structural reliability, thereby influencing next-generation engineers and researchers to adopt smarter simulation-based design practices.
🏆 Legacy and Future Contributions
As Dr. Verma nears the completion of his doctoral journey, his contributions are expected to form a cornerstone for future tall building design strategies. He envisions the integration of smart algorithms 🤖, predictive analytics 📊, and wind tunnel simulations 🌪️ into mainstream engineering practices. His aspiration is to establish a center for excellence in wind-engineering simulations, mentoring young scholars and collaborating globally on urban resilience and tall structure safety.
With growing urbanization and the need for vertical expansion, Dr. Himanshoo Verma’s expertise in CFD-AI fusion is poised to leave a lasting legacy in the civil engineering community — guiding future projects toward both efficiency and sustainability 🌱.
Notable Publications
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Title: Forecasting aerodynamic coefficients of bi-axial symmetric C plan-shaped tall buildings using ANFIS
Authors: H. Verma, R.S. Sonparote
Journal: KSCE Journal of Civil Engineering
Year: 2024 -
Title: Forecasting of Aerodynamic Coefficient on Two Identical Tall Building for Various Wind Incident Angle by CFD
Authors: H. Verma, R.S. Sonparote
Journal: Structural Engineering Convention
Year: 2023 -
Title: Forecasting of pressure coefficient for wind interference due to surrounding tall building on a tall rectangular building using CFD data trained machine learning models
Authors: H. Verma, R. Sonparote
Journal: Structures
Year: 2025 -
Title: Numerical investigation of wind interference effect on twin C-shaped tall buildings
Authors: H. Verma, R.S. Sonparote
Journal: Wind and Structures
Year: 2023 -
Title: Soft computing-based prediction models for interference effect of twin C-shape tall building
Authors: H. Verma, R. Sonparote
Journal: Proceedings of the Institution of Civil Engineers – Structures and Buildings
Year: 2024
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