Assist. Prof. Dr. Mohamed A. Karali | Engineering | Best Researcher Award

Assist. Prof. Dr. Mohamed A. Karali | Engineering | Best Researcher Award

Future University, Egypt

Dr. Eng. Mohamed A. Karali is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Engineering and Technology, Future University in Egypt. With a Ph.D. in Mechanical Engineering from Otto-von-Guericke University Magdeburg, Germany, he specializes in thermo-fluid sciences and renewable energy applications. He has extensive experience in experimental work, modeling, and simulation using advanced tools like ANSYS and MATLAB.

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Education ๐ŸŽ“

Dr. Mohamed A. Karali holds a Ph.D. in Mechanical Engineering from Otto-von-Guericke University Magdeburg, Germany (2015), where his thesis focused on the analysis of axial transport and heat transfer in a flighted rotary drum under optimal loading conditions. He earned his M.Sc. in Mechanical Engineering in 2007 from the Faculty of Engineering, Helwan University, Cairo, Egypt, with a thesis evaluating the performance of vapor compression refrigeration systems using environmentally safe alternatives to R22. Dr. Karali completed his B.Sc. in Mechanical Engineering at the same institution in 2001, with a graduation project analyzing condensation characteristics of R22 and its eco-friendly substitutes. His academic journey reflects a strong emphasis on thermodynamic systems and environmentally sustainable engineering solutions.

Experience ๐Ÿ› ๏ธ

Dr. Mohamed A. Karali has been serving as an Assistant Professor in the Department of Mechanical Engineering at Future University in Egypt since 2015. Prior to this role, he contributed as a Ph.D. researcher and tutor at Otto-von-Guericke University Magdeburg, Germany, from 2012 to 2015, where he conducted advanced research in mechanical engineering. From 2008 to 2012, he worked as an Assistant Lecturer at the Faculty of Engineering, Future University in Egypt. His earlier career includes experience as a researcher and tutor at the Faculty of Engineering, Helwan University, Egypt, from 2002 to 2007, showcasing his extensive academic and research expertise.

Research Interests ๐Ÿ”ฌ

Thermo-Fluid Sciences

Expertise in heat transfer mechanisms within HVAC systems, focusing on enhancing energy efficiency and performance.

ย Granular Materials Processing

Investigations into the dynamics and thermal behaviors of materials in rotary kilns, dryers, and coolers for industrial applications.

ย Renewable Energy Systems

Researching sustainable energy solutions, including system design and application for improved environmental outcomes.

ย Image Processing for Experimental Studies

Utilization of advanced image analysis techniques to support experimental research, enhancing accuracy and data interpretation.

Awards ๐Ÿ†

First Prize: Joint Conference of 5th UK-China and 13th UK Particle Technology Forum, 2015.

Recipient of multiple research grants and industrial collaborations in energy and heat transfer projects.

Publications Top Notes ๐Ÿ“š

Karali, M. A., et al. Comparison of using air, CO2, and helium for the cooling of square-shaped electronic parts CFD study with entropy generation analysis. Thermal Science, 2024. Link

Karali, M. A., et al. Numerical investigation of thermal performance enhancement of pin fin heat sink using wings with different angles. Ain Shams Engineering Journal, 2024. Link

Karali, M. A., et al. CFD study on the effect of tube diameter and count on flow distribution uniformity in a Z disposition. Thermal Science, 2023. Link

Karali, M. A., et al. Fluid flow characteristics for four lattice settings in brick tunnel kiln: CFD simulations. Buildings MPDI, 2023. Link

Karali, M. A., et al. Effect of surface roughness of a staggered tube bank in cross flow with air on heat transfer and pressure drop. Case Studies in Thermal Engineering, 2023. Link

 

 

Dr. Eduardo Garcia Magraner | Fabrication | Best Researcher Award

Dr. Eduardo Garcia Magraner | Fabrication | Best Researcher Award

Ford Espaรฑa SL, Spain

Dr. Eduardo Garcรญa Magraner is a seasoned expert in industrial engineering with over three decades of experience, primarily with Ford Motor Company. His work spans roles from maintenance supervision to manufacturing management, focusing on automation, predictive maintenance, and cybersecurity. A distinguished professional, he has been recognized globally for his contributions to enhancing manufacturing efficiency and safety. Dr. Garcรญa holds a Ph.D. in Computer Engineering and Industrial Production with an "Outstanding Cum Laude" distinction and has been instrumental in driving innovation and productivity in industrial settings.

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Education๐ŸŽ“

Dr. Garcรญaโ€™s educational journey is extensive and multidisciplinary, beginning with vocational training in Electrical Assistance and Telecommunications Electronics. His expertise further expanded at Ford Spain's Apprentice School, where he specialized as an Electromechanical Technician. He later pursued a degree as an Industrial Technical Engineer, followed by numerous certifications including Lean Six Sigma (Green Belt & Black Belt) and multiple postgraduate master's degrees in Occupational Risk Prevention, Integrated Management Systems, and Human Resources. His academic peak was attained with a Ph.D. in Computer Engineering and Industrial Production from University CEU Cardenal Herrera.

Professional Experience๐Ÿ› ๏ธ

Dr. Garcรญa's illustrious career at Ford spans various technical and managerial positions. Starting as an Electromechanical Maintenance Operator, he ascended through the ranks to become Manufacturing Manager overseeing Body, Stamping, and Assembly plants. His expertise in equipment engineering, automation, and production supervision has contributed to significant improvements in efficiency and productivity at Fordโ€™s Valencia facilities. In recent years, he has taken on critical roles in cybersecurity, serving as the Single Point of Contact (SPOC) for Fordโ€™s Global Manufacturing Cybersecurity Program.

Research Interests๐Ÿ”ฌ

Predictive Maintenance & Industrial IoT: Developing real-time systems for enhanced equipment maintenance.

Automation and Robotics: Improving efficiency in production lines using AI-driven solutions.

Cybersecurity in Manufacturing: Ensuring robust security frameworks for industrial processes.

Energy Efficiency & Sustainable Manufacturing.

Awards & Recognitions๐Ÿ†

Henry Ford Technical Award for IIoT Predictive Maintenance (2019).

Global Manufacturing Technical Excellence Awards for innovative Industry 4.0 solutions (2020, 2022).

Best Industrial Paper Award at ICINCO (2020).

Presidents Health & Safety Global Award for safety innovations (2022).

Angel Herrera Award for the best national research (2024).

Advanced Factories of the Future Award for leadership in digital transformation (2021).

Publications Top Notes๐Ÿ“š

I3oT (Industrializable Industrial Internet of Things) Tool for Continuous Improvement in Production Line Efficiency by Means of Sub-Bottleneck Detection Method Machines, 2024-10-29, Contributors: Javier Llopis, Antonio Lacasa, Nicolรกs Montรฉs, Eduardo Garcia. Link

Survival 1.0: A Novel Autonomous Industrial Mobile Warehouse (AIMW) for Industrial Environments Applied Sciences, 2024-10-25, Contributors: Eduardo Garcia, Miguel Montaรฑa, Nicolรกs Montรฉs. Link

Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry Sensors, 2023-07-21, Contributors: Ivan Peinado-Asensi, Nicolรกs Montรฉs, Eduardo Garcรญa. Link

Influence of Mechanical Failures of the Welding Gun on the Magnetic Field Generated in the Measurement of Misalignment
Book Chapter, 2022, Contributors: D. Ibaรฑez, E. Garcรญa, J. Soret, J. Martos. Link

Mini-Sym 4.0: A Novel Simulation Tool to Calculate Real-Time Production Line Productivity Book Chapter, 2022, Contributors: E. Garcia, N. Montes, N. Rosillo, J. Llopis, A. Lacasa. Link

 

 

 

Omar Soufi | Engineering | Best Researcher Award

Mr. Omar Soufi | Engineering | Best Researcher Award

Dr. of Mohammed V University of Rabat Mohammadia School of Engineering, Morocco

Dr. Omar Soufi ๐ŸŽ“, born on May 13, 1993, in Casablanca, is a distinguished expert in AI, Data Science, and GIS ๐ŸŒ. With a Doctorate from EMI Rabat, his research excels in enhancing satellite imagery using deep learning ๐Ÿ›ฐ๏ธ. Fluent in Arabic, French, English, and Spanish ๐ŸŒ, he has held roles such as Project Manager and Head of BI & Decision Support Tools ๐Ÿ“ˆ. Certified in AI, ML, and data analytics ๐Ÿ“œ, Dr. Soufi continues to drive innovation and strategic advancements ๐Ÿš€.

Professional Profile:

Education๐ŸŽ“

Dr. Omar Soufi ๐ŸŽ“ holds a Doctorate in AI from EMI Rabat (2023), focusing on improving satellite image quality using deep learning ๐Ÿ›ฐ๏ธ. He also completed his engineering studies at Polytechnique Grenoble, ENSIMAG (2020) in Information Systems Engineering, and at EMI Rabat in Software Engineering and Quality ๐Ÿ’ป. Prior to this, he earned a Diploma in University Studies (2015) and a Bachelor’s in Mechanical Engineering Sciences and Techniques from ARM Merkรจns (2014) ๐Ÿ”ฌ. His academic journey began with a Baccalaureate in Life and Earth Sciences (2011) ๐ŸŒ.

 

Professional Experience ๐Ÿ“š

 

Dr. Omar Soufi ๐ŸŽ“ has a rich professional background in AI, Data Science, and GIS ๐ŸŒ. Starting as a Project Manager in IT (2016), he advanced to Team Leader at the Decision Support Center (2017) ๐Ÿ“Š. By 2020, he became Head of BI & Decision Support Tools, and in 2022, he led the Geomatics & Decision Support Tools division ๐Ÿš€. His latest role in 2024 is AI Missions Manager. Dr. Soufiโ€™s expertise includes creating data-driven solutions and improving organizational performance ๐Ÿ“ˆ.

Research Interest ๐Ÿ”

Dr. Omar Soufi ๐ŸŽ“ is deeply passionate about AI, Data Science, and GIS ๐ŸŒ. His research interests focus on enhancing satellite imagery quality using deep learning ๐Ÿ›ฐ๏ธ, spatial remote sensing, and big data analytics ๐Ÿ“Š. Dr. Soufi is dedicated to advancing computational methods for improved data visualization, decision-making tools, and innovative applications in geomatics and spatial data analysis ๐Ÿš€. His work aims to drive technological innovation and strategic insights, contributing significantly to these cutting-edge fields ๐Ÿ“ˆ.

Award and Honor๐Ÿ†

Dr. Omar Soufi ๐ŸŽ“ has received numerous awards and honors for his contributions to AI, Data Science, and GIS ๐ŸŒ. Notably, he was recognized for his groundbreaking research in enhancing satellite imagery using deep learning ๐Ÿ›ฐ๏ธ. His accolades include prestigious certifications in AI, ML, and data analytics ๐Ÿ“œ, and he has been honored for his leadership roles in IT and decision support tools ๐Ÿ“ˆ. Dr. Soufiโ€™s commitment to innovation and excellence has earned him a reputation as a leading expert in his field ๐Ÿš€.

Research Skills๐ŸŒŸ

Dr. Omar Soufi ๐ŸŽ“ possesses exceptional research skills in AI, Data Science, and GIS ๐ŸŒ. He excels in deep learning applications for enhancing satellite imagery ๐Ÿ›ฐ๏ธ and has extensive experience in big data analytics, data visualization, and computational methods ๐Ÿ“Š. Proficient in developing innovative decision-making tools and systems, Dr. Soufiโ€™s expertise extends to creating distributed systems for real-time data processing ๐Ÿš€. His analytical abilities and strategic insights drive technological advancements and practical solutions in his research fields ๐Ÿ“ˆ.

Achievements๐Ÿ…

  • ๐Ÿ›ฐ๏ธ Enhanced satellite imagery quality using deep learning in his doctoral research.
  • ๐ŸŒ Specialized in AI, Data Science, and GIS with significant contributions.
  • ๐Ÿ“Š Developed innovative big data analytics and decision-making tools.
  • ๐Ÿ’ป Led successful projects in IT and decision support as a Project Manager and Team Leader.
  • ๐Ÿš€ Headed the Geomatics & Decision Support Tools division.
  • ๐Ÿ“ˆ Recognized for leadership roles and strategic advancements in data-driven solutions.
  • ๐Ÿ“œ Earned prestigious certifications in AI, ML, and data analytics.
  • ๐ŸŒ Multilingual proficiency in Arabic, French, English, and Spanish.
  • ๐Ÿ‘จโ€๐Ÿซ Created educational platforms and e-learning solutions during his academic projects.
  • ๐Ÿ” Published research and received accolades in AI and data science communities.

Projects๐Ÿ…

  • ๐Ÿ“š E-learning Platform: Designed and implemented an e-learning platform at EMI.
  • ๐Ÿ“Š Big Data Architecture: Developed a big data architecture for data analysis and processing.
  • ๐ŸŽ“ Recommendation System: Created a platform for recommending educational resources.
  • ๐ŸŒ Data Visualization Web App: Built a web application for data visualization and processing.
  • ๐Ÿ–ฅ๏ธ Distributed Data Processing System: Implemented a distributed system for streaming data using Kafka, Flink, Cassandra, and Grafana.
  • ๐Ÿ›ฐ๏ธ Satellite Super-Resolution: Worked on super-resolution of satellite images using deep learning during his final-year internship at CRTS Rabat.
  • ๐Ÿš€ Space Station Management: Designed a management platform for a space station during an engineering internship at CRERS Rabat.
  • ๐ŸŒพ Agricultural Bulletin Platform: Developed a platform for disseminating agricultural bulletins for CRTS Rabat.

Publications๐Ÿ…๐Ÿ“š

  • Study of deep learning-based models for single image super-resolution๐Ÿ…๐Ÿ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2022
    • Journal: Revue d’Intelligence Artificielle
    • Volume: 36
    • Issue: 6
    • Pages: 939-952
    • DOI: 10.18280/ria.360616

 

  • FSRSI: New deep learning-based approach for super-resolution of multispectral satellite images๐Ÿ…๐Ÿ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2023
    • Journal: Ingรฉnierie des Systรจmes dโ€™Information
    • Volume: 28
    • Issue: 1
    • Pages: 113-132
    • DOI: 10.18280/isi.280112

 

  • Deep learning technique for image satellite processing๐Ÿ…๐Ÿ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2023
    • Journal: Intell Methods Eng Sci
    • Volume: 2
    • Issue: 1
    • Pages: 27-34
    • Month: March
    • DOI: Not provided

 

  • Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach๐Ÿ…๐Ÿ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2023
    • Journal: Journal of Environmental Treatment Techniques
    • Volume: 11
    • Issue: 2
    • Pages: 44-49
    • DOI: Not provided

 

  • An intelligent deep learning approach to spacecraft attitude control: the case of satellites๐Ÿ…๐Ÿ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2023
    • Status: Under evaluation

 

Gaurav Jain | Engineering | Best Researcher Award

Assoc. Prof. Dr. Gaurav Jain | Engineering | Best Researcher Award

Associate Professor of Poornima College of Engineering Jaipur, India

๐Ÿ‘จโ€๐Ÿซ Dr. Gaurav Jain, an Associate Professor at Poornima College of Engineering, Jaipur, is a dedicated scholar specializing in Electrical Engineering and Renewable Energy. With a Ph.D. in Renewable Engineering and an MBA in Power Management, he excels in areas like Power System Analysis and MATLAB simulations. Dr. Jain’s research focuses on Transmission Wheeling Cost Evaluation, leveraging innovative methodologies. He brings over a decade of academic expertise, previously serving as Assistant Professor at Global Institute of Technology, Jaipur. Passionate about sustainable energy solutions, he integrates theoretical knowledge with practical insights, nurturing a dynamic learning environment for students and contributing significantly to advancements in the field.

Professional Profile:

Education๐ŸŽ“

๐Ÿ‘จโ€๐Ÿซ Assoc. Prof. Dr. Gaurav Jain is an esteemed academician specializing in Electrical Engineering and Renewable Energy. He holds a Ph.D. in Renewable Engineering, focusing on Transmission Wheeling Cost Evaluation. Dr. Jain earned his M.Tech in Power Engineering from Government Guru Nanak Dev Engineering College, Ludhiana, and completed an MBA in Power Management at UPES, Dehradun. His academic journey includes impactful research in Electric Vehicle design and Renewable Energy systems, complemented by practical experience in solar plant construction and maintenance. With a robust background in Power System Analysis and MATLAB, he enriches the learning environment at Poornima College of Engineering, Jaipur, fostering innovation and sustainable energy solutions.

 

Professional Experience ๐Ÿ“š

 

๐Ÿ‘จโ€๐Ÿซ Assoc. Prof. Dr. Gaurav Jain brings over a decade of rich academic experience to his role. He currently serves as an Associate Professor in the Department of Electrical Engineering at Poornima College of Engineering, Jaipur, Rajasthan, where he has been instrumental since 2019. Prior to this, he held the position of Assistant Professor at Global Institute of Technology, Jaipur, for seven years. Dr. Jain began his teaching career as a Lecturer at Regional College for Education Research & Technology, Jaipur. His expertise spans Basic Electrical Engineering, Power System Economics, and Electric Vehicle simulation, shaping future engineers with a focus on sustainable energy solutions.

Research Interest ๐Ÿ”

๐Ÿ”ฌ Assoc. Prof. Dr. Gaurav Jain’s research interests revolve around innovative solutions in renewable energy and power systems. His doctoral and master’s research focused on Transmission Wheeling Cost Evaluation methodologies, emphasizing efficient energy distribution and management. With a keen interest in solar power and electric vehicles, Dr. Jain explores sustainable practices through practical implementations and simulations. His contributions aim to advance the understanding of energy economics, leveraging tools like MATLAB and P-Spice for Electric Vehicle design and renewable energy system analysis. Driven by a commitment to environmental sustainability, he continues to explore new avenues in enhancing power grid efficiency and promoting clean energy technologies.

Award and Honor๐Ÿ†

๐Ÿ† Assoc. Prof. Dr. Gaurav Jain has been recognized for his exemplary contributions in the field of Electrical Engineering and Renewable Energy with prestigious awards and honors. His dedication to research and academia has earned him accolades such as the Best Paper Award for his impactful studies on Transmission Wheeling Cost Evaluation methodologies. Dr. Jain’s commitment to innovation in solar power and electric vehicle design has garnered attention within academic circles, showcasing his leadership in sustainable energy solutions. These honors underscore his significant role in advancing knowledge and application in power systems and renewable energy, inspiring future generations in the field.

 

Research Skills๐ŸŒŸ

๐Ÿ” Assoc. Prof. Dr. Gaurav Jain possesses exceptional research skills honed through years of dedicated academic pursuit and practical application. His expertise spans the intricate domains of Electrical Engineering and Renewable Energy, where he excels in advanced methodologies such as Transmission Wheeling Cost Evaluation and Solar System Design. Dr. Jain’s proficiency in simulation tools like MATLAB and P-Spice enables precise analysis and modeling, crucial for developing innovative solutions in electric vehicle technology and renewable energy systems. His ability to integrate theoretical insights with practical implementations underscores his research acumen, making significant strides in sustainable energy practices and enhancing the field’s technological landscape.

Achievements๐Ÿ…

๐Ÿ† Outstanding Research Publications: Published numerous high-impact papers in esteemed journals on topics like Transmission Wheeling Cost Evaluation and Renewable Energy Systems Design.

๐ŸŽ“ Innovative Teaching Methods: Recognized for implementing dynamic teaching techniques that enhance student engagement and understanding in Electrical Engineering.

๐Ÿ‘จโ€๐Ÿซ Leadership in Academic Roles: Served as Associate Professor at Poornima College of Engineering, Jaipur, and contributed significantly to curriculum development and academic administration.

๐ŸŒŸ Awarded Research Grants: Secured competitive grants to advance research in solar power and electric vehicle technology, demonstrating excellence in grant proposal writing.

๐Ÿ“š Professional Development: Attained a diverse educational background, including a Ph.D. in Renewable Engineering and an MBA in Power Management, enhancing interdisciplinary expertise.

๐Ÿค Industry Collaboration: Successfully collaborated with industry partners on projects related to solar system design and renewable energy implementation.

๐Ÿ‘ฉโ€๐ŸŽ“ Student Mentorship: Mentored numerous students in research projects, fostering a new generation of skilled engineers passionate about sustainable energy solutions.

Publications ๐Ÿ“š

๐Ÿ“œ Conference Paper

  • Title: A Real Time implementation of PF Enhanced Two-Stage Battery Charging Solution for Battery Powered Automobiles
  • Authors: Shukla, T., Patidar, N.P., Kumawat, R.K., Jain, G., Saxena, R.
  • Conference: 2024 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2024
  • Citations: 0

๐Ÿ“œ Conference Paper

  • Title: Reduced Switch Count Asymmetrical Seven-Level Inverter
  • Authors: Shukla, T., Patidar, N.P., Kumawat, R.K., Jain, G., Nandanwar, S.
  • Conference: 2024 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2024
  • Citations: 0

๐Ÿ“„ Article

  • Title: Nusselt number estimation using a GBR-GSO-based machine learning predictive model in alumina and titania nanofluids in a boiling process
  • Authors: Dadhich, M., Shekhar, Sambyo, K., Sharma, V., Jain, G.
  • Journal: Journal of Thermal Analysis and Calorimetry, 2023, 148(24), pp. 14225โ€“14242
  • Citations: 0

๐Ÿ“„ Article

  • Title: Urban Growth Simulations in a Medium-Sized City of Mangaluru, India, Through CA-Based SLEUTH Urban Growth Model
  • Authors: Dhanaraj, K., Jain, G.V.
  • Journal: Journal of the Indian Society of Remote Sensing, 2023, 51(3), pp. 497โ€“517
  • Citations: 1

๐Ÿ“œ Conference Paper

  • Title: Stability Analysis of Heffron-Phillips SMIB Model with Integrated Power System Stabilizer and Effect of Time Delay
  • Authors: Jain, G., Garg, D., Rohela, V., Rathor, B.
  • Conference: India International Conference on Power Electronics, IICPE, 2023
  • Citations: 0

๐Ÿ“œ Conference Paper

  • Title: Optimistic Use of Battery Energy Storage System to Mitigate Grid Disturbances with Solar Penetration
  • Authors: Sharma, V., Bharti, N., Jain, G., Agrawal, N., Agrawal, P.
  • Conference: 2023 1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023
  • Citations: 0

๐Ÿ“œ Conference Paper

  • Title: Robust Control Technique for Three Machine Nine Bus System
  • Authors: Saini, Y., Hussain, A., Kumar Hada, R., Jain, G., Rathor, B.
  • Conference: 2023 5th International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023
  • Citations: 1

๐Ÿ“œ Conference Paper

  • Title: Reserve Power Control for Parallel Connected PV Modules under Partial Shading
  • Authors: Verma, P., Jain, G., Sonwane, P.
  • Conference: Proceedings of the 9th International Conference on Electrical Energy Systems, ICEES 2023, pp. 422โ€“427
  • Citations: 1

๐Ÿ“„ Article (Open access)

  • Title: Urban flood vulnerability assessment of Vadodara city using rainfallโ€“run-off simulations
  • Authors: Patel, H.D., Jain, G.V., Shah, S.D.
  • Journal: Current Science, 2023, 124(1), pp. 79โ€“86
  • Citations: 0

๐Ÿ“„ Article

  • Title: Assessment and Prediction of Urban Expansion Using CA-Based SLEUTH Urban Growth Model: A Case Study of Kolkata Metropolitan Area (KMA), West Bengal, India
  • Authors: Das, S., Jain, G.V.
  • Journal: Journal of the Indian Society of Remote Sensing, 2022, 50(12), pp. 2277โ€“2302
  • Citations: 6

Kourosh Shoele | Engineering | Best Researcher Award

Assoc. Prof. Dr. Kourosh Shoele | Engineering | Best Researcher Award

Associate Professor of Florida State University , United States

Assoc. Prof. Dr. Kourosh Shoele is a distinguished academic and researcher in the field of mechanical engineering, focusing on computational fluid dynamics ๐ŸŒŠ, fluid-structure interaction ๐ŸŒ€, and aeroelasticity ๐Ÿ›ฉ๏ธ. Currently holding the position of Associate Professor at the Joint College of Engineering, Florida State University – Florida A&M University, he brings extensive expertise in modeling complex fluid systems and developing advanced solutions for aerospace and renewable energy applications. His research interests also encompass multiphase flows, vortex dynamics, and the integration of embodied intelligence in soft robotics ๐Ÿค–, reflecting a broad interdisciplinary approach to engineering challenges. With a robust academic background and numerous accolades including NSF Career Award and DARPA Young Faculty Awards, Dr. Shoele continues to lead groundbreaking research that bridges theory and practical application in fluid dynamics and beyond.

Professional Profile:

Education๐ŸŽ“

Assoc. Prof. Dr. Kourosh Shoele holds a Ph.D. in Mechanical Engineering from the University of California, San Diego ๐ŸŽ“, where he specialized in flow interaction with highly flexible structures. His academic journey began with a Master’s degree from Sharif University of Technology in Iran ๐Ÿ“š, focusing on online identification of nonlinear cracks using advanced tracking techniques. Prior to his graduate studies, he completed his Bachelor’s degree at the University of Shiraz ๐ŸŽ“, laying the foundation for his expertise in structural dynamics and fluid mechanics. Dr. Shoele’s educational background underscores his deep commitment to advancing engineering knowledge through rigorous academic pursuit and innovative research methodologies.

 

Professional Experience ๐Ÿ“š

 

Assoc. Prof. Dr. Kourosh Shoele brings a wealth of professional experience in mechanical engineering ๐Ÿ› ๏ธ, specializing in computational fluid dynamics, fluid-structure interaction, and aerodynamics. He currently serves as an Associate Professor at the Joint College of Engineering, Florida State University – Florida A&M University ๐ŸŽ“, where he leads research on flow control, multiphase flows, and soft robotics. Prior to this, he held roles as an Assistant Professor and Assistant Research Scientist at Johns Hopkins University, focusing on hydrodynamic modeling and aeroelasticity in offshore wind farms. His career also includes contributions to wave energy conversion systems and bio-locomotion studies in complex fluid environments.

Research Interest ๐Ÿ”

Assoc. Prof. Dr. Kourosh Shoele’s research interests span a diverse array of topics in mechanical engineering ๐ŸŒ. He is particularly passionate about computational fluid dynamics and fluid-structure interaction, exploring applications in aeroelasticity, fluttering control, and vortex dynamics ๐ŸŒช๏ธ. His work extends to renewable energy sources like wind and wave energies, where he investigates multiphase flows and their dynamics. Dr. Shoele also explores the integration of embodied intelligence in soft robotics ๐Ÿค–, aiming to enhance their performance in various environments. His research contributes significantly to understanding complex fluid behaviors and advancing technologies for sustainable energy and biologically inspired systems.

Award and Honor๐Ÿ†

Assoc. Prof. Dr. Kourosh Shoele has been recognized with prestigious awards and honors throughout his career, highlighting his significant contributions to mechanical engineering and fluid dynamics ๐Ÿ†. His accolades include the NSF Career Award for his groundbreaking research in renewable energy and computational modeling ๐ŸŒŸ, the DARPA Young Faculty Award and Fellowship for his innovative work in aeroelasticity and soft robotics ๐ŸŽ“, and the Developing Scholar Award as a Rising Star at FSU ๐ŸŒŸ. Dr. Shoele was also honored with the First Year Assistant Professor Award and has been recognized for his contributions to publications in leading journals and conferences, solidifying his impact in the field.

 

Research Skills๐ŸŒŸ

Assoc. Prof. Dr. Kourosh Shoele possesses a diverse array of research skills that encompass computational fluid dynamics, fluid-structure interaction, and advanced modeling techniques ๐ŸŒ. His expertise extends to aerodynamic and hydrodynamic simulations, multiphase flows, and the application of machine learning in model reduction ๐ŸŒŠ. Dr. Shoele excels in developing high-order numerical methods and immersed boundary models for complex engineering systems, enhancing understanding and innovation in renewable energies and soft robotics ๐Ÿค–. His proficiency in conducting interdisciplinary research, integrating experimental validation with theoretical models, underscores his commitment to advancing scientific knowledge and engineering solutions for real-world challenges.

Achievements๐Ÿ…

๐Ÿ† NSF Career Award recipient in 2020.
๐Ÿš€ DARPA Young Faculty Award in 2019.
๐ŸŒŸ DARPA Young Faculty Director Fellowship in 2021.
๐ŸŒŸ Developing Scholar Award – Rising Star at FSU in 2021.
๐Ÿ… Nominated for a teaching award at FSU in 2022.
๐ŸŽ“ First Year Assistant Professor Award at FSU in 2017.
๐ŸŽจ Best poster award at NASA International Workshop on Environment and Energy in 2010.
๐Ÿ“ฐ Featured article in Physics of Fluids, Vol. 34, 2022.
๐Ÿ“ฐ Featured article in Journal of Experimental Biology, Vol. 211, 2008.
๐Ÿฅ‡ Ranked 1st in the eighth Scientific Olympiad of Engineering in Iran, 2003.

Publications ๐Ÿ“š

๐Ÿ“˜ An Improved Coupled Level Set and Continuous Moment-of-Fluid Method for Simulating Multiphase Flows with Phase Change Ye, Z., Estebe, C., Liu, Y., … Ohta, M., Hussaini, M.Y. Communications on Applied Mathematics and Computation, 2024, 6(2), pp. 1034โ€“1069

๐Ÿ“˜ Effect of shock impingement location on the fluidโ€“structure interactions over a compliant panel Tripathi, A., Gustavsson, J., Shoele, K., Kumar, R. Shock Waves, 2024, 34(1), pp. 1โ€“19

๐Ÿ“˜ Koopman-based model predictive control with morphing surface: Regulating the flutter response of a foil with an active flap Wang, T.-K., Shoele, K. Physical Review Fluids, 2024, 9(1), 014702

๐Ÿ“˜ Nonlinear shock-induced flutter of a compliant panel using a fully coupled fluid-thermal-structure interaction model Shahriar, A., Shoele, K. Journal of Fluids and Structures, 2024, 124, 104047

๐Ÿ“˜ Hybrid wave/current energy harvesting with a flexible piezoelectric plate Shoele, K. Journal of Fluid Mechanics, 2023, 968, A31

๐Ÿ“˜ Pacific lamprey inspired climbing Van Stratum, B., Shoele, K., Clark, J.E. Bioinspiration and Biomimetics, 2023, 18(4), 046013

๐Ÿ“˜ Cavitation Rheology of Model Yield Stress Fluids Based on Carbopol Mohammadigoushki, H., Shoele, K. Langmuir, 2023, 39(22), pp. 7672โ€“7683

๐Ÿ“˜ Kernel mode decomposition for time-frequency localization of transient flow: The formation of a laminar separation bubble Wang, T.-K., Shoele, K. Physical Review Fluids, 2023, 8(6), 064401

๐Ÿ“˜ Face masks provide high outward protection despite peripheral leakage: Insights from a reduced-order model of face mask aerodynamics Ni, C., Solano, T., Shoele, K., Seo, J.-H., Mittal, R. Physics of Fluids, 2023, 35(6), 061911

๐Ÿ“˜ Vortex dynamics of axisymmetric cones at high angles of attack Shahriar, A., Kumar, R., Shoele, K. Theoretical and Computational Fluid Dynamics, 2023, 37(3), pp. 337โ€“356

P. Amala Vijaya Sri | Engineering | Young Scientist Award

Dr. P. Amala Vijaya Sri | Engineering | Young Scientist Award

ย Assistant Professor of Vignan’s Lara Institute of Technology and Science, India

Dr. P. Amala Vijaya Sri is an Assistant Professor in the ECE Department at Vignanโ€™s Lara Institute of Technology and Science, Guntur, Andhra Pradesh, India ๐Ÿ“. With a year of teaching experience ๐Ÿ“š, she has taught Computer Architecture and Organisation (CAO) and Digital Signal Processing (DSP). She has 6 SCI and 7 Scopus publications ๐Ÿ“„, and 2 papers under review. Previously, she worked as a JRF/SRF on a SERB, DST project and now serves as the Research Head for the ECE department. Her research focuses on microstrip patch antennas for wireless and biomedical applications ๐Ÿ“ก๐Ÿ”ฌ.

Professional Profile:

Education๐ŸŽ“

Dr. P. Amala Vijaya Sri holds a Ph.D. in Electronics and Communication Engineering ๐ŸŽ“. She has a strong academic background with a specialization in microstrip patch antennas for wireless and biomedical applications ๐Ÿ“ก๐Ÿ”ฌ. Her education journey equipped her with extensive knowledge and research skills, enabling her to publish 6 SCI and 7 Scopus-indexed papers ๐Ÿ“„. As a dedicated educator and researcher, Dr. Amala Vijaya Sri continually strives to contribute to her field through innovative research and effective teaching methods, fostering a positive and inclusive learning environment for her students ๐Ÿ“š๐ŸŒŸ.

Professional Experience ๐Ÿ“š

Dr. P. Amala Vijaya Sri is an Assistant Professor at Vignanโ€™s Lara Institute of Technology and Science ๐Ÿ“š. With one year of teaching experience, she has instructed students in Computer Architecture and Organisation (CAO) and Digital Signal Processing (DSP) ๐ŸŽ“. Previously, she served as a JRF/SRF on a SERB, DST-sponsored project, gaining valuable research experience ๐Ÿ”ฌ. She has published 6 SCI and 7 Scopus-indexed papers and has 2 more under review ๐Ÿ“„. Currently, she leads as the Research Head for the Electronics and Communication Engineering department, driving innovation and academic excellence in her field ๐ŸŒŸ.

Research Interest ๐Ÿ”

Dr. P. Amala Vijaya Sri’s research interests lie in the development and application of microstrip patch antennas for wireless and biomedical applications ๐Ÿ“ก๐Ÿ”ฌ. Her work focuses on advancing antenna technology to improve communication systems and medical devices. With 6 SCI and 7 Scopus publications ๐Ÿ“„, she has made significant contributions to her field. Dr. Amala Vijaya Sri is committed to pushing the boundaries of antenna design and exploring innovative solutions to enhance wireless communication and healthcare technologies, aiming to make a positive impact on society through her research ๐ŸŒŸ.

Award and Honor๐Ÿ†

Dr. P. Amala Vijaya Sri has received notable recognition for her contributions to research and academia ๐ŸŒŸ. She has been honored with the role of Research Head for the Electronics and Communication Engineering department at Vignanโ€™s Lara Institute of Technology and Science ๐ŸŽ“. Her work has led to 6 SCI and 7 Scopus-indexed publications ๐Ÿ“„, showcasing her expertise and dedication. Additionally, she has been a key researcher on a prestigious SERB, DST-sponsored project, reflecting her commitment to advancing technological innovation and academic excellence ๐Ÿ”ฌ๐Ÿ….

Research Skills๐ŸŒŸ

Dr. P. Amala Vijaya Sri possesses advanced research skills in the field of Electronics and Communication Engineering, particularly in microstrip patch antennas ๐Ÿ“ก๐Ÿ”ฌ. Her expertise includes designing, analyzing, and optimizing antennas for wireless and biomedical applications. With 6 SCI and 7 Scopus publications ๐Ÿ“„, she demonstrates a strong ability to conduct high-quality research, communicate findings effectively, and contribute to the academic community. Dr. Amala Vijaya Sri is adept at utilizing advanced research methodologies and collaborating with peers to drive innovation and solve complex engineering problems, showcasing her dedication to advancing technology and improving societal outcomes ๐ŸŒŸ.

Achievements๐Ÿ†

  • Published 6 SCI and 7 Scopus-indexed papers, advancing microstrip patch antenna technology ๐Ÿ“„๐Ÿ“ก๐Ÿ”ฌ.
  • Appointed as Research Head for the Electronics and Communication Engineering department at Vignanโ€™s Lara Institute of Technology and Science ๐ŸŽ“.
  • Successfully completed a SERB, DST-sponsored project as a JRF/SRF, showcasing her research expertise ๐Ÿ”ฌ๐Ÿ….
  • Instructed courses in Computer Architecture and Organisation (CAO) and Digital Signal Processing (DSP), contributing to academic excellence ๐Ÿ“š.
  • Communicated 2 additional papers to SCI journals, demonstrating ongoing research and commitment to the field โœ๏ธ.

Publications๐Ÿ“„๐Ÿ“š

  • Design of hexadecagon circular patch antenna with DGS at Ku band for satellite communications
    Authors: KK Naik, PAV Sri
    Journal: Progress In Electromagnetics Research M
    Year: 2018
    Citations: 86
    ๐Ÿ“ก๐Ÿ“„
  • Design of concentric circular ring patch with DGS for dual-band at satellite communication and radar applications
    Authors: K Kumar Naik, P Amala Vijaya Sri
    Journal: Wireless Personal Communications
    Year: 2018
    Citations: 36
    ๐Ÿ“ก๐Ÿ“„
  • Design of flexible parasitic element patch antenna for biomedical application
    Authors: KK Naik, SCS Teja, BV Sailaja, PA Sri
    Journal: Progress In Electromagnetics Research M
    Year: 2020
    Citations: 34
    ๐Ÿฅ๐Ÿ“ก๐Ÿ“„
  • Analysis of wideband circular ring with rectangular patch antenna for airborne radar application
    Authors: PAV Sri, N Yasasvini, M Anjum, AV Manikanta, D Harsha, G Dattatreya, …
    Conference: 2017 International Conference of Electronics, Communication and Aerospace
    Year: 2017
    Citations: 13
    ๐Ÿ›ซ๐Ÿ“ก๐Ÿ“„
  • Enhancement of gain with coplanar isosceles triangular patch antenna for dual-band applications
    Authors: PAV Sri, G Srikanth, BV Krishna, K Kousalya, SR Lavanya, K Ooha, …
    Conference: 2017 Progress in Electromagnetics Research Symposium-Fall (PIERS-FALL)
    Year: 2017
    Citations: 12
    ๐Ÿ“ก๐Ÿ“„
  • Design of implantable monopole inset-feed C-shaped slot patch antenna for bio-medical applications
    Authors: KK Naik, PAV Sri, J Srilakshmi
    Conference: IEEE (PIERS โ€” FALL)
    Year: 2018
    Citations: 10
    ๐Ÿฅ๐Ÿ“ก๐Ÿ“„
  • Design of Concentric Ring Slot on Bow-Tie Antenna with Defected Ground Structure
    Authors: KO K. Kumar Naik, T. Srinivasa Reddy, S. Rama Lavanya, T. Prasanthi, P …
    Conference: IEEE Conference
    Year: 2017
    Citations: 7*
    ๐Ÿ“ก๐Ÿ“„
  • Design of Annular Circular Ring Fractal Patch Monopole Antenna for Wireless Applications
    Authors: PAVS K. Kumar Naik
    Journal: International Journal of Microwave and Optical Technology
    Year: 2021
    Citations: 3*
    ๐Ÿ“ก๐Ÿ“„
  • Analysis and design of trapezoidal shape CSRR rectangular patch antenna for wireless communications
    Authors: KNK P. Amala Vijaya Sri
    Journal: Microwave and Optical Technology Letters
    Year: 2023
    Citations: 2
    ๐Ÿ“ก๐Ÿ“„
  • U-Slotted Elliptical Shape Patch Antenna for UWB On-Body Communications
    Authors: PAV Sri, KK Naik
    Journal: Progress In Electromagnetics Research Letters
    Year: 2022
    Citations: 2
    ๐Ÿ“ก๐Ÿ“„