Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

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Mr. Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

Mr. Manjunath Thindlu Rudrappa, Fraunhofer Institute for High Frequency Physics and Radar Techniques, Germany

Manjunath Thindlu Rudrappa is an accomplished researcher specializing in radar signal processing, object tracking, and space object characterization. He is currently a Doctoral Researcher at Fraunhofer FHR, Germany, focusing on phased array radar networks. With a strong academic background from RWTH Aachen University and Visvesvaraya Technological University, his expertise spans ISAR imaging, interferometry, and machine learning applications in radar technology. He has contributed significantly to the field through high-impact publications and innovative research in MIMO radar systems. Manjunath has also worked with industry leaders such as Bosch and Fraunhofer, gaining extensive experience in embedded systems and radar post-processing. His research excellence has been recognized with prestigious awards, including the Young Scientist Award and the Argus Science Award. Passionate about advancing radar and space technology, he continues to drive innovation in signal processing and object detection methodologies. 🚀📡

Publication Profile

Google Scholar

📚 Education

Manjunath earned his Bachelor of Engineering (B.E.) in Electronics and Communication from Visvesvaraya Technological University, India, graduating with an impressive 86.41% aggregate. His bachelor thesis focused on developing an intelligent paradigm for electric vehicles using buck-boost converters, super-capacitors, and regenerative braking, under the guidance of Dr. Bhakthavatsalam and Mr. Gowranga K.H from IISc Bangalore. He pursued his Master of Science (M.Sc.) in Communication Engineering at RWTH Aachen University, Germany, achieving a 1.5 aggregate. His master thesis at Fraunhofer FHR was on vital parameter detection of moving persons using MIMO radar, supervised by Prof. Dr.-Ing Peter Knott and Dr.-Ing Reinhold Herschel. Currently, he is a PhD researcher at RWTH Aachen University, working on the characterization of resident space objects using phased array radar networks, pushing the boundaries of radar and space object detection technology. 🎓📡

💼 Experience

Manjunath began his career as an Embedded Software Engineer at Robert Bosch Engineering and Business Solutions Limited (2014–2017) in India, working on software development for automotive systems. Moving to Bosch Engineering GmbH, Germany, he served as an Embedded Application Software Developer (2018–2019), specializing in software solutions for automotive applications. His transition to Fraunhofer FHR in Germany marked his entry into radar research, where he worked as a Work Student (2019–2020) on vital parameter estimation, detection, tracking, and clustering. Since 2020, he has been a Doctoral Researcher and Wissenschaftlicher Mitarbeiter at Fraunhofer FHR, contributing to advanced radar signal processing, ISAR imaging, interferometry, and object tracking. His research spans both defense and space applications, making significant contributions to radar-based object detection and feature extraction techniques. 🔬🚀

🏆 Awards & Honors

Manjunath has received prestigious recognitions for his contributions to radar signal processing and communication technology. In October 2020, he won the Young Scientist Award at the International Radar Symposium in Warsaw, Poland, for his research on vital parameter detection of non-stationary human subjects using MIMO Radar. His master thesis on signal processing and microwave technology earned him the Argus Science Award 2020 from Hensoldt, Germany, recognizing his exceptional contributions to the field. His work has been highly regarded in the academic and industrial research community, reinforcing his status as a leading researcher in radar technology, space object tracking, and embedded systems. 🏅📡

🔬 Research Focus

Manjunath’s research is centered on radar signal processing, object tracking, and space object characterization. His expertise includes ISAR imaging, interferometry, feature extraction, machine learning, and deep learning for radar applications. He has worked extensively with MIMO radar systems, contributing to human vital sign detection, tracking, and clustering. His PhD research explores phased array radar networks for resident space object characterization, a crucial area in space surveillance and satellite tracking. Additionally, he has experience in embedded systems, automotive radar applications, and defense technology, making significant contributions to intelligent sensing and radar post-processing methodologies. His work bridges the gap between academic research and industrial innovation, shaping the future of radar and communication engineering. 🌍📡🚀

Publication Top Notes

1️⃣ Moving human respiration sign detection using mm-wave radar via motion path reconstruction – Cited by: 17 | Year: 2021 📡👤💨
2️⃣ Vital parameters detection of non-stationary human subject using MIMO radar – Cited by: 11 | Year: 2020 📡🔬🧍
3️⃣ Distinguishing living and non-living subjects in a scene based on vital parameter estimation – Cited by: 8 | Year: 2021 🔍👤🏠
4️⃣ Characterisation of resident space objects using multistatic interferometric inverse synthetic aperture radar imaging – Cited by: 4 | Year: 2024 🛰️📡📊
5️⃣ 3D reconstruction of resident space objects using radar interferometry and nonuniform fast Fourier transform from sparse data – Cited by: 4 | Year: 2022 🌍📡📉
6️⃣ Improvements of GESTRA—A phased-array radar network for the surveillance of resident space objects in low-Earth orbit – Cited by: 2 | Year: 2023 🚀🛰️📶
7️⃣ RSO feature extraction using Super Resolution Wavelets and Inverse Radon Transform – Cited by: 1 | Year: 2022 📡📊📉
8️⃣ High-resolution human clustering based on complex signal correlation coefficients – Cited by: 1 | Year: 2022 🏠📡📊
9️⃣ Characterisation of Resident Space Objects and Synchronisation Error Compensation in Multistatic Interferometric Inverse Synthetic Aperture Radar Imaging – Year: 2025 🛰️📡📊
🔟 Clusterung von Detektionen – Year: 2022 📡📍🔍

Conclusion

Mr. Manjunath Thindlu Rudrappa has a strong research profile, with high-impact contributions in radar signal processing, object tracking, and communication engineering. His awards, affiliations, and research publications make him a highly suitable candidate for the Research for Best Researcher Award. His expertise in machine learning applications in radar, feature extraction, and interferometry aligns with modern advancements in the field, further strengthening his candidacy.

Junshu Zhang | Engineering | Best Researcher Award

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Dr. Junshu Zhang | Engineering | Best Researcher Award

Dr. Junshu Zhang, Huazhong University of Science and Technology, China

Dr. Junshu Zhang specializes in structural health monitoring and flexible electronics. His research focuses on improving sensor systems, including recognizing bolt loosening and developing mechanical models for flexible sensors. He has contributed to strain transfer models that predict sensor properties and eliminate environmental factors. With 7 ongoing research projects, 3 patents, and 4 published journal articles, Dr. Zhang is a key innovator in his field. He holds professional membership with the Chinese Society for Vibration Engineering. 🌐

Publication Profile

Scopus

Academic and Professional Background

Dr. Junshu Zhang is a prominent researcher specializing in structural health monitoring and flexible electronics. His work focuses on advancing sensor technologies, particularly in the recognition of bolt loosening and the development of mechanical models for flexible sensors. By establishing strain transfer models, Dr. Zhang aims to predict sensor properties and eliminate the influence of environmental and material factors. With 7 ongoing research projects, 3 patents, and several published journal articles, he is making significant contributions to the field. He is a member of the Chinese Society for Vibration Engineering. 🌐

 

Research Focus 🧑‍🔬

Dr. Junshu Zhang’s research primarily focuses on structural health monitoring and flexible electronics, with a strong emphasis on developing innovative sensor technologies. His work includes bolt preload impact modulation, improving the strain transfer model for flexible sensors, and enhancing measurement calibration for piezoresistive sensors. He has contributed to the design of graphene nanoplatelets-based strain sensors and non-uniform shear stress models to improve sensor accuracy. These efforts aim to optimize sensor performance in structural monitoring systems and flexible electronics. Dr. Zhang’s contributions are central to the advancement of sensor mechanics and sensor applications. 📊📐

 

Publication Top Notes

  • Cointegration-based impact modulation for bolt preload under the influence of percussion force (2024) 🔧
  • Measurement Calibration of Flexible Piezoresistive Sensors Based on Strain Transfer Model Accounting for Coating Effect (2024) 📏
  • Graphene Nanoplatelets/Polydimethylsiloxane Flexible Strain Sensor with Improved Sandwich Structure (2024) 🛠️ – Cited by 2
  • Improved strain transfer model for flexible sensors based on non-uniform distribution of shear stress in each layer (2024) 📐 – Cited by 2

HARPREET AASI | Engineering | Women Researcher Award

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HARPREET AASI | Engineering | Women Researcher Award

Dr HARPREET AASI, INDIAN INSTITUTE OF TECHNOLOGY BOMBAY, India

Dr. Harpreet Aasi is a Postdoctoral Fellow in Thermal Engineering at IIT Bombay (2024–present). He holds a Ph.D. in Thermal Engineering from IIT Roorkee (2014–2020), an M.Tech. from NIT Raipur, and a B.E. in Mechanical Engineering. His expertise lies in heat transfer enhancement, particularly using ultrasound in electronic cooling systems, involving both numerical (ANSYS Fluent) and experimental methods. A recipient of multiple awards, including the Silver Medal at NIT Raipur, Dr. Aasi has contributed to prestigious projects sponsored by CSIR and DST. He is also an active reviewer for high-impact journals and has published extensively in heat exchanger optimization. 📚💡

Publication Profile

Scopus

Education

Dr. Harpreet Aasi is a distinguished researcher specializing in thermal engineering. Currently, he is pursuing a Postdoctoral Fellowship at the Indian Institute of Technology Bombay (March 2024 – present). He earned his Ph.D. with honors in Thermal Engineering from IIT Roorkee (2014-2020) and completed an M.Tech. in Thermal Engineering with an impressive CPI of 8.96/10 at NIT Raipur (2011-2013). His academic journey began with a B.E. in Mechanical Engineering from New Government Engineering College Raipur, achieving a stellar CPI of 8.99/10 (2006-2010). Dr. Aasi’s dedication to academics is reflected in his strong foundations, scoring 76% in Intermediate (2005-2006) and 85% in Matriculation (2003-2004). 📚✨

Experience

Dr. Aasi conducted numerical (Ansys Fluent) and experimental studies (non-intrusive optical techniques) on single-phase and two-phase flow boiling processes for electronic cooling systems. This research explored the effect of ultrasound parameters, demonstrating its potential for enhancing heat transfer. Ph.D. Research: Investigations on Three-fluid Compact Plate-fin Heat Exchanger 🌡️📊 Dr. Aasi performed extensive experimental and numerical investigations (MATLAB coding) under transient and steady states, addressing flow maldistribution, inlet temperature non-uniformity, and ambient heat interaction. Innovative modeling optimized geometrical attributes for diverse plate-fin types. M.Sc. Research: Parametric Study of Orthotropic Annular Fin with Contact Resistance 🌀🛠️ Dr. Aasi developed a 2D dimensionless steady-state model to assess the thermal performance of orthotropic annular fins, focusing on polymer matrix composites with axis-dependent properties.

Award and Scholarships

Dr. Harpreet Aasi has an impressive academic record, including a Silver Medal at the National Institute of Technology (NIT) Raipur in 2012-2013 🥈. He received the Academic Excellence Award at NIT Raipur in 2011-2012 🎓. Ranked 10th in the Chhattisgarh Swami Vivekanand Technical University state toppers list, he was 1st in New Government Engineering College Raipur in 2010 🏆. Dr. Aasi secured prestigious fellowships, including the Institute Postdoctoral Fellowship at IIT Bombay in 2024 🧑‍🔬 and MHRD scholarships for his Ph.D. (2014-2019) and M.Tech. (2011-2013) 📚. Additionally, he earned state-level merit scholarships during his B.E. studies (2007-2010) 🏅.

Project contribution

Dr. Harpreet Aasi has conducted groundbreaking research on optimizing the performance of three-fluid heat exchangers through both numerical and experimental investigations. Sponsored by CSIR, this research aims to improve heat transfer efficiency and system performance. Additionally, his study on the effect of temperature and flow nonuniformities on three-fluid compact heat exchangers, sponsored by DST, delves into understanding how such factors influence overall efficiency. These contributions are crucial in advancing thermal management systems, with potential applications in various industries, from energy to manufacturing. 🌡️🔧

Research focus

Dr. Harpreet Aasi’s research primarily focuses on the thermo-hydraulic performance and optimization of multi-fluid heat exchangers, particularly three-fluid systems. His work investigates the effects of flow non-uniformity, ambient heat ingression, and temperature nonuniformity on the efficiency and dynamic behavior of cross-flow and plate-fin heat exchangers. Using advanced techniques like Artificial Neural Networks (ANN) and second law analysis, he aims to improve heat exchanger designs for enhanced thermal management in various engineering applications. His research is crucial for energy efficiency and thermal optimization in industries such as cryogenics, power generation, and heat recovery. 🔥🔧⚙️💡

Publication top notes

Investigation on cross-flow three-fluid compact heat exchanger under flow non-uniformity: an experimental study with ANN prediction

The impact of ambient heat ingression on performance of cryogenic three-fluid cross-flow compact heat exchanger

Experimental investigation and ANN modelling on thermo-hydraulic efficacy of cross-flow three-fluid plate-fin heat exchanger

Detailed design optimization of three-fluid parallel-flow plate-fin heat exchanger using second law analysis

Influence of flow non-uniformity on the dynamic behaviour of three-fluid cross-flow compact heat exchanger

A novel equivalence approximate model for second law based optimization of three-fluid cross-flow plate-fin heat exchanger using genetic algorithm

 

Teresa Mata | Engineering | Best Researcher Award

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Dr. Teresa Mata | Engineering | Best Researcher Award

Dr. Teresa Mata, INEGI – Institute of Science and Innovation in Mechanical and Industrial Engineering / LAETA – Associate Laboratory for Energy, Transports and Aerospace, Portugal

Dr. Teresa Margarida Correia de Poço Mata is a Principal Researcher at INEGI, with over 25 years of experience in Chemical and Environmental Engineering. She holds a PhD in Chemical Engineering from the University of Porto and has conducted research at the US EPA through a Fulbright scholarship. Her expertise spans Life Cycle Assessment, Sustainability, Biofuels, and Microalgae Biorefineries. With 129+ publications, she is ranked among the top 2% of researchers globally. Dr. Mata collaborates internationally and has led numerous R&D projects, contributing significantly to engineering and sustainability solutions. 🌿⚙️📚

 

Publication Profile

Scopus

Orcid

Google Scholar

Education 📚

Dr. Mata holds a PhD in Chemical Engineering (2004) from the University of Porto, where she also completed a BSc in Chemical Engineering (1995), an MSc in Environmental Engineering (1999), and an MBA (2007). She conducted research at the US EPA during her PhD, supported by a Fulbright scholarship, highlighting her international exposure and leadership potential in environmental research.

Recognition 📖

Dr. Mata has authored 129+ ISI journal publications, with 45 papers published in the last 5 years, primarily in high-impact journals. Her research has earned her inclusion in the top 2% of most influential researchers globally, according to Stanford University, and she boasts an H-index of 35 (Scopus). She received the CNOIV Prize and FEUP Scientific Recognition Award, marking her as an esteemed figure in her field.

Conclusion 🏆

Dr. Teresa Mata’s outstanding academic achievements, international collaborations, prolific publications, and industry partnerships make her a strong contender for the Research for Best Researcher Award. Her contributions in sustainability and biofuels research, combined with her leadership in prestigious international projects, align with the award’s focus on impactful and innovative research.

Publication Top Notes

  • Microalgae for biodiesel production and other applications: a review 🌱⚡ – Cited by 7601, 2010
  • Parametric study of a brewery effluent treatment by microalgae Scenedesmus obliquus 🍺🧪 – Cited by 272, 2012
  • Valorization of coffee grounds for biodiesel production ☕🔄 – Cited by 237, 2012
  • Bio-refinery approach for spent coffee grounds valorization ♻️☕ – Cited by 235, 2018
  • Framework for sustainability metrics 🌍📊 – Cited by 219, 2007
  • Simulation and life cycle assessment of process design alternatives for biodiesel production from waste vegetable oils ♻️🛢️ – Cited by 216, 2010
  • Microalgae for biotechnological applications: Cultivation, harvesting and biomass processing 🌱🔬 – Cited by 174, 2020
  • Spent coffee grounds for biodiesel production and other applications ☕🔧 – Cited by 163, 2014
  • Education for sustainability: challenges and trends 🎓🌱 – Cited by 145, 2006
  • Microalgae biomolecules: Extraction, separation and purification methods 🌱🔬 – Cited by 135, 2020

 

 

 

 

 

 

 

TRAN THI BICH CHAU VO | Industrial Engineering | Best Innovation Award

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Ms. TRAN THI BICH CHAU VO | Industrial Engineering | Best Innovation Award

PhD Candidate at National Kaohsiung University of Science and Technology, Taiwan

Tran Thi Bich Chau VO is a dedicated Vietnamese academic and researcher in Industrial Engineering and Management, currently serving as a Lecturer at Can Tho University since 2014. With a strong background in the garment and textile industry, she previously held roles as Head of the R&D Department at Thanhcong Textile Garment Investment Trading JSC and as a Work Study Staff at Garment Fashion Limited. She is pursuing her Ph.D. at the National Kaohsiung University of Science and Technology in Taiwan, focusing on improving processing efficiency through workflow process reengineering, simulation, and value stream mapping.

Publication profile :

🎓 Educational Background :

  • Ph.D. in Industrial Engineering and Management (Expected 12/2024)

    National Kaohsiung University of Science and Technology, Taiwan

    Thesis: “Improving Processing Efficiency through Workflow Process Reengineering, Simulation, and Value Stream Mapping.”

  • Master of Engineering in Industrial and Systems Engineering (2014)

    Ho Chi Minh City University of Technology, Vietnam National University

    Thesis: “Effects of Lean Manufacturing in a Garment Line at Thanhcong Textile Garment Investment Trading Joint Stock Company.”

  • Bachelor of Engineering in Garment Technology and Fashion (2011)

    Ho Chi Minh City University of Technology and Education, Vietnam

    Thesis: “Researching the Improved Pattern for the Production Department in An Phu Chau Company.”

🏢 Professional Experience :

  • Lecturer, Faculty of Industrial Management (Since 08/2014)

    Can Tho University, Vietnam

    Tran Thi Bich Chau teaches courses such as Methods Standards & Work Design, Production Planning & Scheduling, Lean Manufacturing, and Facility Layout and Location.

  • Head of Dept. Research & Development (10/2012 – 07/2014)

    Thanhcong Textile Garment Investment Trading Joint Stock Company, Ho Chi Minh, Vietnam

    She led R&D initiatives focused on operations and productivity improvements.

  • Staff, Dept. Work Study (04/2011 – 09/2012)

    Garment Fashion Limited, Bien Hoa, Vietnam

    Worked on work study projects to enhance efficiency in garment production.

🌱 Research Interests :

Tran Thi Bich Chau’s research interests include lean manufacturing, production efficiency, simulation, and supply chain optimization, particularly in the textile and aquaculture industries. She has led and participated in several significant research projects and is also an active reviewer for prestigious journals and conferences. 🌟📚👩‍🏫

Publication Top Notes :

  • Business Process Reengineering and Manufacturing Optimization: Several papers (Publications [1], [2], [9], [10], [11]) highlight improvements in business and manufacturing processes through methods like value stream mapping, workflow process reengineering, and the use of digital twin platforms.
  • Environmental and Wastewater Treatment: Research articles (Publications [3], [4], [8]) provide comprehensive reviews and case studies on aeration, wastewater treatment in aquaculture, and sustainable practices in shrimp farming.
  • Bioanalytical Sensors and Smart Health Monitoring: Publication [5] discusses recent trends in bioanalytical sensors and their applications in smart health monitoring systems, covering materials to practical uses.
  • Supply Chain and Risk Management: Publications [6], [7] address issues related to supply chain optimization and risk management in industries such as aquaculture, utilizing computational studies and risk mitigation approaches.
  • Material Science and Engineering: A series of studies (Publications [12] to [15]) focus on the development and characterization of advanced materials, including graphene oxide-coated sponges and hydrogel membranes, for applications in environmental remediation and material science.
  • Health and Food Science: Research on the health effects of coffee and the clinical applications of turmeric (Publications [16], [21]) reflects an interest in the intersection of food science and health.

 

 

 

Harish Selvam | Engineering | Best Researcher Award

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Dr. Harish Selvam | Engineering | Best Researcher Award

Post-doctoral researcher, Institute of Hydraulic Engineering and Water Resources Management, RWTH Aachen University, Germany

Harish Selvam is a Scientific Staff member at the Institute of Hydraulic Engineering and Water Resources Management (IWW) at RWTH Aachen University, Germany. With over 8 years of expertise in Hydraulics and Coastal Engineering, Harish’s research focuses on physical and numerical modeling, particularly in violent tsunami-structure interactions. His dual MS and PhD in Ocean Engineering were awarded with distinction from RWTH Aachen University and Indian Institute of Technology Madras. 🌊🏛️

Publication Profile

Strengths for the Award:

  1. Academic Excellence: Harish Selvam’s educational background is impressive, with a dual degree (MS & PhD) in Ocean Engineering from RWTH Aachen University and IIT Madras, completed with distinction. His B.E. in Civil Engineering also showcases strong academic performance.
  2. Research Contributions: His PhD thesis on violent tsunami-structure interaction is a significant contribution to the field of Hydraulics and Coastal Engineering. He has published numerous papers in high-impact journals such as Coastal Engineering, Water, Applied Ocean Research, and Ocean Engineering, indicating a strong research output.
  3. Awards and Recognitions: Harish has received prestigious awards, including the Prof. Vallam Sundar best PhD thesis in Ocean Engineering from IIT Madras and the ISH best PhD thesis award in Hydraulics, water resources, and coastal engineering.
  4. Professional Experience: With eight years of experience in Hydraulics and Coastal Engineering, Harish has held significant positions, including Junior Research Group Coastal Engineering Leader and Scientific Staff at RWTH Aachen University. His involvement in major projects and contributions to CFD software development demonstrate his applied research skills.
  5. Technical Skills: Proficiency in programming languages (MATLAB, C++, FORTRAN) and technical software (AutoCAD, Stadd Pro, FreeCAD, OpenFOAM, DualSPHysics, Ansys) highlights his capability in numerical and physical modeling.
  6. Supervision and Mentorship: Harish has supervised multiple Master’s and Bachelor’s theses, indicating his leadership and mentorship abilities. His guidance on projects related to tsunami-like wave impacts and hydraulic engineering showcases his expertise in guiding young researchers.
  7. International Exposure: Harish’s involvement in international projects and conferences, along with scholarships from DAAD and UGC, underscores his global perspective and collaboration.

Areas for Improvement:

  1. Language Proficiency: While Harish has basic proficiency in German (A2.1 level), improving his language skills could enhance his integration and communication within the international research community in Germany and beyond.
  2. Expanded Research Impact: While his research is strong, broadening the impact through more interdisciplinary collaborations and applications beyond tsunami-structure interaction could enhance his profile further.
  3. Industry Collaboration: Increasing collaborations with industry partners could translate his research findings into practical solutions and innovations, thereby enhancing the societal impact of his work.

Conclusion:

Harish Selvam is a highly suitable candidate for the Best Researcher Award. His robust academic background, significant research contributions, professional experience, and technical skills make him a standout researcher in the field of Hydraulics and Coastal Engineering. While there are areas for improvement, such as language proficiency and expanding the impact of his research, his overall profile is highly commendable and deserving of recognition.

 

Education

Harish completed his dual degree MS & PhD in Ocean Engineering from RWTH Aachen University and Indian Institute of Technology Madras in July 2023, graduating with a summa cum laude distinction and a 9.74 CGPA. He holds a B.E. in Civil Engineering from Rajalakshmi Engineering College, Chennai, with an 8.74 CGPA. He also achieved top grades in his Higher Secondary and Matriculation courses. 🎓📚

Experience

Currently, Harish serves as a Junior Research Group Coastal Engineering Leader at IWW, RWTH Aachen University. His previous roles include Scientific Staff at IWW since October 2021 and Project Associate at IIT Madras. He has worked extensively with OpenFOAM and other CFD software, and has been involved in notable projects like the “Impact of waterborne debris on near shore structures” and “Flood-induced building damages after 2021 German floods.” 🏗️🌍

Research Focus

Harish’s research primarily investigates tsunami-like flow interactions with coastal structures. His PhD thesis delves into tsunami-induced forces on shorefront structures, leveraging both physical experiments and numerical simulations to enhance understanding and design improvements in coastal engineering. His current work includes numerical simulations of tsunami impacts and flow interactions with various structural models. 🌪️🔬

Awards

Prof. Vallam Sundar Best PhD Thesis Award (2023), Indian Society of Hydraulics (ISH) Best PhD Thesis Award (2023), GATE Qualification (2016), University Rank Holder in B.E. among colleges affiliated with Anna University, Chennai. 🏆🎖️

Publications

  1. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2021). Tsunami-like flow induced force on the structure: Prediction formulae for the horizontal force in quasi-steady flow phase. Coastal Engineering, 168, 103938.
  2. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2022). Tsunami-like flow induced forces on the structure: Dependence of the hydrodynamic force coefficients on Froude number and flow channel width. Coastal Engineering, 172, 104078.
  3. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2022). Tsunami-like Flow-Induced Forces on the Landward Structure behind a Vertical Seawall with and without Recurve Using OpenFOAM. Water, 14(13), 1986.
  4. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2022). Flow-structure interference effects with the surrounding structure in the choked quasi-steady condition of tsunami: Comparison with traditional obstruction approach. Applied Ocean Research, 126, 103255.
  5. Harish, S., Sriram, V., Schüttrumpf, H., & Sannasiraj, S. A. (2024). Tsunami-like flow induced forces on the building with openings and orientation in the quasi-steady flow phase. Ocean Engineering, 301, 117337.