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 πŸŽ“, born on May 13, 1993, in Casablanca, is a distinguished expert in AI, Data Science, and GIS 🌐. With a Doctorate from EMI Rabat, his research excels in enhancing satellite imagery using deep learning πŸ›°οΈ. Fluent in Arabic, French, English, and Spanish 🌍, he has held roles such as Project Manager and Head of BI & Decision Support Tools πŸ“ˆ. Certified in AI, ML, and data analytics πŸ“œ, Dr. Soufi continues to drive innovation and strategic advancements πŸš€.

Professional Profile:

EducationπŸŽ“

Dr. Omar Soufi πŸŽ“ holds a Doctorate in AI from EMI Rabat (2023), focusing on improving satellite image quality using deep learning πŸ›°οΈ. He also completed his engineering studies at Polytechnique Grenoble, ENSIMAG (2020) in Information Systems Engineering, and at EMI Rabat in Software Engineering and Quality πŸ’». Prior to this, he earned a Diploma in University Studies (2015) and a Bachelor’s in Mechanical Engineering Sciences and Techniques from ARM MerkΓ¨ns (2014) πŸ”¬. His academic journey began with a Baccalaureate in Life and Earth Sciences (2011) 🌍.

 

Professional Experience πŸ“š

 

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

Research Interest πŸ”

Dr. Omar Soufi πŸŽ“ is deeply passionate about AI, Data Science, and GIS 🌐. His research interests focus on enhancing satellite imagery quality using deep learning πŸ›°οΈ, spatial remote sensing, and big data analytics πŸ“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 πŸš€. His work aims to drive technological innovation and strategic insights, contributing significantly to these cutting-edge fields πŸ“ˆ.

Award and HonorπŸ†

Dr. Omar Soufi πŸŽ“ has received numerous awards and honors for his contributions to AI, Data Science, and GIS 🌐. Notably, he was recognized for his groundbreaking research in enhancing satellite imagery using deep learning πŸ›°οΈ. His accolades include prestigious certifications in AI, ML, and data analytics πŸ“œ, and he has been honored for his leadership roles in IT and decision support tools πŸ“ˆ. Dr. Soufi’s commitment to innovation and excellence has earned him a reputation as a leading expert in his field πŸš€.

Research Skills🌟

Dr. Omar Soufi πŸŽ“ possesses exceptional research skills in AI, Data Science, and GIS 🌐. He excels in deep learning applications for enhancing satellite imagery πŸ›°οΈ and has extensive experience in big data analytics, data visualization, and computational methods πŸ“Š. Proficient in developing innovative decision-making tools and systems, Dr. Soufi’s expertise extends to creating distributed systems for real-time data processing πŸš€. His analytical abilities and strategic insights drive technological advancements and practical solutions in his research fields πŸ“ˆ.

AchievementsπŸ…

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

ProjectsπŸ…

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

PublicationsπŸ…πŸ“š

  • Study of deep learning-based models for single image super-resolutionπŸ…πŸ“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 imagesπŸ…πŸ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2023
    • Journal: IngΓ©nierie des SystΓ¨mes d’Information
    • Volume: 28
    • Issue: 1
    • Pages: 113-132
    • DOI: 10.18280/isi.280112

 

  • Deep learning technique for image satellite processingπŸ…πŸ“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 ApproachπŸ…πŸ“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 satellitesπŸ…πŸ“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

πŸ‘¨β€πŸ« 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:

EducationπŸŽ“

πŸ‘¨β€πŸ« 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 πŸ“š

 

πŸ‘¨β€πŸ« 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 πŸ”

πŸ”¬ 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 HonorπŸ†

πŸ† 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 Skills🌟

πŸ” 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.

AchievementsπŸ…

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

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

πŸ‘¨β€πŸ« Leadership in Academic Roles: Served as Associate Professor at Poornima College of Engineering, Jaipur, and contributed significantly to curriculum development and academic administration.

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

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

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

πŸ‘©β€πŸŽ“ Student Mentorship: Mentored numerous students in research projects, fostering a new generation of skilled engineers passionate about sustainable energy solutions.

Publications πŸ“š

πŸ“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

πŸ“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

πŸ“„ 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. 14225–14242
  • Citations: 0

πŸ“„ 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. 497–517
  • Citations: 1

πŸ“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

πŸ“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

πŸ“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

πŸ“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. 422–427
  • Citations: 1

πŸ“„ Article (Open access)

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

πŸ“„ 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. 2277–2302
  • 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 🌊, fluid-structure interaction πŸŒ€, and aeroelasticity πŸ›©οΈ. 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 πŸ€–, 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:

EducationπŸŽ“

Assoc. Prof. Dr. Kourosh Shoele holds a Ph.D. in Mechanical Engineering from the University of California, San Diego πŸŽ“, 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 πŸ“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 πŸŽ“, 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 πŸ“š

 

Assoc. Prof. Dr. Kourosh Shoele brings a wealth of professional experience in mechanical engineering πŸ› οΈ, 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 πŸŽ“, 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 πŸ”

Assoc. Prof. Dr. Kourosh Shoele’s research interests span a diverse array of topics in mechanical engineering 🌐. He is particularly passionate about computational fluid dynamics and fluid-structure interaction, exploring applications in aeroelasticity, fluttering control, and vortex dynamics πŸŒͺ️. 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 πŸ€–, 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 HonorπŸ†

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 πŸ†. His accolades include the NSF Career Award for his groundbreaking research in renewable energy and computational modeling 🌟, the DARPA Young Faculty Award and Fellowship for his innovative work in aeroelasticity and soft robotics πŸŽ“, and the Developing Scholar Award as a Rising Star at FSU 🌟. 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 Skills🌟

Assoc. Prof. Dr. Kourosh Shoele possesses a diverse array of research skills that encompass computational fluid dynamics, fluid-structure interaction, and advanced modeling techniques 🌐. His expertise extends to aerodynamic and hydrodynamic simulations, multiphase flows, and the application of machine learning in model reduction 🌊. 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 πŸ€–. 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.

AchievementsπŸ…

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

Publications πŸ“š

πŸ“˜ 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. 1034–1069

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

πŸ“˜ 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

πŸ“˜ 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

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

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

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

πŸ“˜ 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

πŸ“˜ 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

πŸ“˜ 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. 337–356