Dr. Omar Soufi | Innovative Leadership | Best Researcher Award

Dr. Omar Soufi | Innovative Leadership | Best Researcher Award

Mohammed V University of Rabat Mohammadia School of Engineering, Morocco

🔗 Professional Profiles

🌟 Summary

Dr. Omar Soufi is a seasoned data scientist with a doctorate in computer engineering, specializing in artificial intelligence. He has a wealth of experience in data science, spatial remote sensing, and geographic information systems (GIS), offering exceptional data analysis skills and developing business intelligence solutions to drive organizational advancements and strategic performance.

🎓 Education

  • 2023: Ph.D. in Computer Engineering (Artificial Intelligence) – EMI Rabat
    • Thesis: Deep Learning for Enhancing Satellite Image Quality and Star Sensor Processing
  • 2020: Engineering Degree in Information Systems Engineering – Polytechnique Grenoble, ENSIMAG
  • 2020: Engineering Degree in Software Engineering and Quality – EMI Rabat
  • 2015: Diploma of University Studies – ARM Merkèns
  • 2014: Bachelor’s in Mechanical Engineering – ARM Merkèns
  • 2011: Baccalaureate in Life and Earth Sciences – 1ER LMR

💼 Professional Experience

  • 2024-Present: Head of AI Missions
  • 2022-2023: Head of Geomatics & Decision Support Tools
  • 2020-2021: Head of BI & Decision Support Tools
  • 2017-2019: Team Leader at Decision Support Center
  • 2016: Project Manager at IT Department

🔬 Research Interests

  • Data Science: Advanced data analysis, business intelligence development, trend evolution in AI.
  • Artificial Intelligence: Deep learning applications in satellite image super-resolution and remote sensing.
  • GIS: Development of thematic cartographic applications and spatial data analysis.

📚 Academic Projects

  • E-learning platform development
  • Big Data architecture implementation
  • Pedagogical resource recommendation system
  • Web application for data visualization and processing
  • Distributed system for streaming data processing

🌐 Languages

  • Arabic, French, English, Spanish

📜 Certifications

  • IA, DL, ML from A to Z
  • Power BI Data Analyst Associate
  • QlikSense Data Analytics
  • Scientific Python
  • Google Data ML

Professional Skills

  • Programming: Python, R, JavaScript, C, Java, Scala
  • Web Technologies: HTML, CSS, PHP, JEE, APIs
  • Databases: SQL, NoSQL
  • Deep Learning: Scikit-learn, OpenCV, Keras, TensorFlow
  • Big Data: Hadoop, Spark, Elasticsearch, Kafka
  • GIS: QGIS, ArcGIS, GeoServer
  • Project Management: Agile methodologies, UML, Merise, Scrum

Dr. Soufi’s extensive expertise and proactive approach position him as a leading figure in leveraging AI and data science for strategic innovation and operational excellence.

Notable Publications

Paper Tittle: Benchmark of deep learning models for single image super-resolution (SISR)
  • Author: Omar Soufi, Zineb Aarab, Fatima-Zahra Belouadha
  • Year: 2022
  • Citations: 9
Paper Tittle: Study of Deep Learning-based models for Single Image Super-Resolution
  • Author: Omar Soufi, Fatima-Zahra Belouadha
  • Journal: Revue d’Intelligence Artificielle
  • Year: 2022
  • Citations: 4
Paper Tittle: Deep learning technique for image satellite processing
  • Author: Omar Soufi, Fatima-zahra Belouadha
  • Journal: Intelligent Methods In Engineering Sciences
  • Year: 2023
  • Citations: 2
Paper Tittle: Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach
  • Author: Omar Soufi, Fatima Zahra Belouadha
  • Journal: Journal of Environmental Treatment Techniques
  • Year: 2023
  • Citations: 1
Paper Tittle: FSRSI: New Deep Learning-Based Approach for Super-Resolution of Multispectral Satellite Images
  • Author: Omar Soufi, Fatima Zahra Belouadha
  • Journal: Ingenierie des Systemes d’Information
  • Year: 2023
  • Citations: 1

Assoc Prof Dr. Dan Zhang | Innovative Leadership | Best Researcher Award | 2832

Assoc Prof Dr. Dan Zhang , Innovative Leadership, Best Researcher Award

Assoc Prof Dr. Dan Zhang, Henan Polytechnic University, China 

🔗 Professional Profiles

Dan Zhang, Associate Professor 🎓

Dan Zhang is an Associate Professor at Henan Polytechnic University, specializing in atmospheric pollution research. With a robust academic background, he has contributed significantly to the field through groundbreaking research, winning awards, and publishing extensively. His expertise lies in the mechanism of sulfur dioxide poisoning, mercury catalyst modification, and wet photocatalytic oxidation for environmental remediation.

Academic Achievements 🏆

  • Published over 40 academic papers, including 20+ SCI/EI indexed.
  • Authored 2 monographs/textbooks and holds 15 invention patents.
  • Recognized with 2 provincial and ministerial awards.
  • Notable publication as the first author in “Industrial and Engineering Chemistry Research.”

Research Projects 🌐

  1. National Natural Science Youth Foundation: Explored sulfur dioxide poisoning mechanisms.
  2. National Natural Science Foundation of China (NSFC): Studied Hg0 removal using BiOI-based photocatalysts.
  3. Science and Technology Tackling Project of Henan Province: Investigated visible light-based mercury removal.
  4. Ongoing projects include flame suppression/enhancement, shellac materials, VOC removal mechanisms, and biomass combustion technology.

Leadership and Contributions 💡

  • Led and participated in numerous national and provincial research projects.
  • Actively contributed to the academic community as a reviewer for top international journals.

Dan Zhang’s dedication to environmental research and innovative solutions makes him a leading figure in the field, contributing significantly to sustainable development and pollution control.

Publication Top Noted

 Paper Title : Effect of CH4 addition on high-H2 syngas combustion characteristics under N2/CO2 dilution

    • Authors: Wang, F.; Xiao, C.; Zhang, D.; Deng, H.; Chen, G.
    • Journal: Journal of the Energy Institute
    • Volume: 114
    • Issue: 101600
    • Year: 2024

Paper Title :  Study of CH4-H2-CO-Air premixed combustion characteristics based on fractal dimension and flame crack method

    • Authors: Wang, F.; Zhou, C.; Zhang, D.; Wen, X.; Chen, G.
    • Journal: International Journal of Hydrogen Energy
    • Volume: 63
    • Pages: 1212–1228
    • Year: 2024

Paper Title :  Optimization of thermal link for a conduction-cooled superconducting magnet system

    • Authors: Liang, Q.; Fang, C.; Han, X.; Liu, J.; Liu, J.
    • Journal: Journal of Instrumentation
    • Volume: 18
    • Issue: 9
    • Article: P09034
    • Year: 2023

Paper Title :  Experimental and numerical study of the effects of N2 dilution and CH4 addition on the laminar burning characteristics of syngas

    • Authors: Wang, F.; Wang, Y.; Zhang, D.; Wen, X.; Chen, G.
    • Journal: Fuel
    • Volume: 329
    • Pages: 125403
    • Year: 2022

Paper Title :  Ultra-low loading of Ag2CrO4 on BiOI/CoFe2O4 microsphere with p-n heterojunction: Highly improved photocatalytic performance for Hg0 removal and mechanism insight

    • Authors: Wang, Y.; Zhang, A.; Zhang, D.; Sun, Z.; Chen, G.
    • Journal: Journal of Photochemistry and Photobiology A: Chemistry
    • Volume: 396
    • Pages: 112543
    • Year: 2020

Nipun Verma-Innovative leadership -Best Researcher Award

Assoc Prof Dr. Nipun Verma-Innovative leadership -Best Researcher Award

Institute of Medical Education and Research-India

Author profile 

 

Early Academic Pursuits

Dr. Nipun Verma began his academic journey with a Bachelor of Medicine, Bachelor of Surgery (MBBS) from Government Medical College and Hospital, Sector-32, Chandigarh, India, in 2009. His dedication and excellence were evident with a First Division in his graduation. Following this, he pursued a postgraduate degree, MD in Internal Medicine, from the prestigious Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India, graduating with First Division honors in 2013.

Further advancing his expertise, Dr. Verma completed his DM residency, specializing in Hepatology, at PGIMER in 2017, once again achieving a First Division. During this time, he also undertook an observer position at the Thomas E. Starzl Institute of Liver Transplantation, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania, United States, in 2017.

In 2020, Dr. Verma diversified his skill set by obtaining a Diploma in Machine Learning with R Studio, showcasing his commitment to staying at the forefront of medical technology.

Professional Endeavors

Dr. Nipun Verma embarked on his professional career as a Junior Resident in ENT at Government Medical College and Hospital, Chandigarh, India, followed by a position as a Junior Resident in Internal Medicine at PGIMER, Chandigarh. His roles evolved, including Senior Resident positions in Internal Medicine (Adhoc) and Hepatology (DM), demonstrating his commitment to the field.

He expanded his horizons as an Observer at the Thomas E. Starzl Institute of Liver Transplantation, UPMC, and later served as an Associate Consultant at Max Super Speciality Hospital, Mohali, Punjab. Dr. Verma then joined PGIMER, Chandigarh, first as an Assistant Professor and later as an Associate Professor, solidifying his position as a key figure in academic medicine.

Contributions and Research Focus

Dr. Nipun Verma's research endeavors reflect a diverse and impactful contribution to the medical field. His MD thesis explored the "Quality of Life and Psychological Aspects in Patients of Severe Mitral Stenosis Subjected for Balloon Mitral Valvotomy." In his DM thesis, he conducted a randomized trial on "Granulocyte Colony Stimulating Factor and Growth Hormone in Cirrhosis of Liver."

Notably, Dr. Verma's foray into machine learning with a diploma in the field underscores his commitment to leveraging technology for advancing medical research and patient care.

Accolades and Recognition

Throughout his academic and professional journey, Dr. Verma has garnered numerous accolades and distinctions. Notable awards include Gold and Silver Medals during his MBBS, the British Medical Journal-South Asia Finalist Award, and the Major Amir Chand Gold Medal for the Best Paper in MD/MS/DM/MCH category.

His active involvement in scientific societies, both national and international, exemplifies his commitment to staying connected with the global medical community. Dr. Verma's memberships and leadership roles in organizations like ACG, AASLD, INASL, and EASL highlight his standing in the international medical arena.

Impact and Influence on Innovative leadership 

Dr. Nipun Verma's impact is evident through his extensive research publications, ranging from studies on fibrosis prediction to the use of machine learning in hepatobiliary diseases. His work has been recognized with awards and distinctions at national and international conferences, further establishing him as a key opinion leader in hepatology.

Innovative leadership is a dynamic and forward-thinking approach that emphasizes creativity, adaptability, and the ability to foster a culture of continuous improvement within an organization. An innovative leader is not merely someone who manages day-to-day operations but is a visionary who encourages out-of-the-box thinking and cultivates an environment where new ideas are not only welcomed but actively sought. Such a leader embraces change as an opportunity rather than a challenge, inspiring teams to explore novel solutions to existing problems and to proactively anticipate future needs.

Legacy and Future Contributions

As an Associate Professor at PGIMER, Chandigarh, and with his growing list of achievements, Dr. Nipun Verma is poised to leave a lasting legacy in the field of hepatology and medical research. His focus on integrating technology, evidenced by his machine learning diploma, suggests a commitment to advancing medical practices through innovation.

In the future, Dr. Verma is likely to continue influencing the medical community, contributing groundbreaking research, and shaping the next generation of medical professionals through his role as an educator and mentor.

Notable Publications