mourad JABRANE | Computer Science | Best Researcher Award

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Prof Dr. mourad JABRANE | Computer Science | Best Researcher Award

software enginee, sultan moulay slimane university, Morocco

JABRANE Mourad is a state-certified software engineer and a third-year Ph.D. candidate at the National School of Applied Sciences, Sultan Moulay Slimane University. With a passion for designing scalable and efficient systems, Mourad excels in data mining, machine learning, and distributed computing. As an adjunct professor, he effectively conveys complex concepts, making him a valuable contributor to both academia and industry.

Publication Profile

Strengths for the Award:

  1. Solid Academic Background: Jabrane Mourad holds a state-certified software engineering degree and is currently a Ph.D. candidate specializing in Big Data, showcasing a strong academic foundation in cutting-edge technologies.
  2. Research Contributions: His research work focuses on significant areas like entity resolution in Big Data, machine learning, and distributed computing. His publications in reputable journals, such as the Journal of Intelligent Information Systems and Information Systems, highlight his contributions to the field.
  3. Diverse Skill Set: Mourad has extensive expertise in programming languages (Java, Python, JavaScript, etc.), frameworks (Spring, Angular), and software engineering tools (Docker, Jenkins, Kubernetes), making him a well-rounded researcher with practical skills applicable to various domains.
  4. Teaching Experience: As an adjunct professor, Mourad has taught a wide range of subjects including data integration, advanced Java Enterprise Edition, and distributed systems. His teaching experience demonstrates his ability to communicate complex concepts clearly, which is a valuable trait in academia.
  5. International Recognition: The publication of his work in international journals and his participation in global research projects suggest that his research has gained international recognition, making him a strong candidate for the award.

Areas for Improvement:

  1. Broader Impact: While Mourad’s research contributions are significant, further efforts to collaborate on interdisciplinary projects or engage in community outreach could broaden the impact of his work.
  2. Innovation and Patents: Although he has a strong publication record, obtaining patents or developing innovative software solutions could further strengthen his candidacy for a best researcher award.
  3. Networking and Collaborations: Expanding his network and collaborating with more researchers across different institutions could help him gain more visibility and access to diverse research opportunities.

Education

Ph.D. Candidate (2021 – Present): National School of Applied Sciences, Sultan Moulay Slimane University.
Thesis title: Entity Resolution in Big Data. State Software Engineer (2018 – 2021): National School of Applied Sciences, Sultan Moulay Slimane University. MP Higher School Preparatory Classes (2016 – 2018): Centre Ibn Abdoun.
Track title: Mathematics, Physics, and Engineering Sciences.

Experience 💼

JABRANE Mourad has accumulated significant experience as an adjunct professor at the National School of Applied Sciences, where he has taught a variety of subjects including Data Integration, Data Quality, Advanced JEE, Distributed Systems, Python Programming, MATLAB, and C Programming. His roles extend to both regular courses and continuing education programs, demonstrating his versatility and commitment to teaching.

Research Focus 🔬

Mourad’s research is centered around big data, with specific interests in data mining, machine learning, and distributed computing. His Ph.D. work focuses on Entity Resolution in Big Data, where he is exploring innovative approaches to improve accuracy and efficiency in large-scale data matching.

Awards and Honors 🏅

Though the detailed awards and honors list is not provided, Mourad’s academic and professional journey is marked by his selection as a Ph.D. candidate and his appointment as an adjunct professor at a prestigious institution.

Publications 📚

Mourad has contributed extensively to the field of big data and machine learning. Below are some of his notable publications:

  1. “Erabqs: Entity resolution based on active machine learning and balancing query strategy” – Published in Journal of Intelligent Information Systems, March 2024. Cited by 3 articles.
  2. “Enhancing entity resolution with a hybrid active machine learning framework: Strategies for optimal learning in sparse datasets” – Published in Information Systems, November 2024. Cited by 7 articles.
  3. “Enhancing semantic web entity matching process using transformer neural networks and pre-trained language models” – Published in Computing and Informatics, 2024. Cited by 5 articles.
  4. “Sentiment analysis dataset in Moroccan dialect: Bridging the gap between Arabic and Latin scripted dialect” – Published in Language Resources and Evaluation, July 2024. Cited by 4 articles.

 

Conclusion:

Jabrane Mourad presents a strong case for the Best Researcher Award due to his solid academic background, notable research contributions in Big Data and machine learning, and diverse technical skills. His role as an adjunct professor and his extensive teaching experience further emphasize his ability to convey knowledge and contribute to the academic community. To enhance his candidacy, Mourad could focus on increasing the broader impact of his research through interdisciplinary collaborations and innovation. Overall, Mourad is a well-rounded candidate with the potential to make substantial contributions to the field, making him a suitable contender for the award.

Shaghaf Kaukab | Technology | Young Scientist Award

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Dr. Shaghaf Kaukab | Technology | Young Scientist Award

scientist, ICAR-CIPHET, India

Shaghaf Kaukab is a dedicated Scientist at ICAR-Central Institute of Post-Harvest Engineering & Technology (ICAR-CIPHET), Ludhiana, specializing in Agricultural Structure and Process Engineering. With over 11 years of combined experience in scientific research and academic exploration within the food engineering and technology platform, Shaghaf has made significant contributions to the domain of extrusion processing, storage technology, drying techniques, and functional food product development. His work emphasizes the application of AI, machine learning, and deep learning techniques in agriculture, leading to innovative solutions that improve post-harvest management and food processing.

Publication Profile

Scopus

Strengths for the Award

  1. Research Contributions: Shaghaf Kaukab has made significant contributions to agricultural structure and process engineering, particularly in post-harvest technology. Her work on projects such as IoT-based monitoring systems and AI-enabled robotic harvesters demonstrates her innovative approach and alignment with modern agricultural challenges.
  2. Academic Excellence: With a Ph.D. in Post Harvest Technology and multiple prestigious academic awards, she has a strong academic background. Her high CGPA scores and ICAR merit medals underscore her academic diligence.
  3. Interdisciplinary Expertise: Shaghaf has expertise in various domains, including AI, machine learning, image processing, and food process engineering, making her research impactful and versatile.
  4. Publications and Impact: She has published extensively in refereed journals and contributed to book chapters, highlighting her active involvement in advancing her field of research. The inclusion of her work in high-impact journals reflects her research’s quality and relevance.
  5. Leadership and Collaboration: Shaghaf has demonstrated leadership by managing several projects, mentoring students, and coordinating training programs. Her collaborative efforts with organizations like CDAC and international exposure (e.g., Purdue University) enhance her profile.

Areas for Improvement

  1. Broader Outreach: While Shaghaf has conducted training and outreach activities, expanding these efforts to reach a more diverse audience, including more international platforms, could enhance her influence and recognition.
  2. Grant Acquisition: Although involved in several projects, focusing on securing more independent research grants could further validate her capabilities and drive her research agenda.
  3. Networking and Professional Development: Increased participation in international conferences, workshops, and collaborations outside of India could further her exposure and contribute to professional growth.

 

🎓 Education

Shaghaf Kaukab earned his Ph.D. in Post-Harvest Technology from the Indian Agricultural Research Institute (IARI), New Delhi, with a stellar CGPA of 9.1/10 in 2019. Prior to this, he completed his M.Tech. in Post-Harvest Engineering & Technology from IARI, New Delhi, with a CGPA of 8.97/10 in 2016. His academic journey has been marked by excellence, laying a strong foundation for his research and scientific endeavors.

💼 Experience

Currently, Shaghaf is a Scientist in Agricultural Structures & Process Engineering at ICAR-CIPHET, Ludhiana, where he has been instrumental in the development of technologies such as the stereo-depth based detection and localization module for apples. He has successfully led and contributed to several ongoing projects, including IoT-based modular systems for cold storage and AI-enabled robotic apple harvesters. His role extends to technical writing, project implementation, and collaboration with academic and industrial partners.

🔍 Research Focus

Shaghaf’s research interests lie in the application of new-age technologies like AI, machine learning, and deep learning in the post-harvest agriculture sector. He focuses on image processing techniques (such as Biospeckle, RGB, X-ray, Hyperspectral imaging) and the analysis of food properties (physical, thermal, mechanical, and micro-structural). His work in food process engineering aims to enhance the efficiency and quality of post-harvest processes.

🏆 Awards and Honors

Shaghaf Kaukab’s work has earned him recognition within the scientific community, including membership in prestigious organizations such as the Indian Society of Agricultural Engineers (ISAE) and the American Society of Agricultural and Biological Engineers (ASABE). He serves as a regular reviewer for scientific journals and has been an external examiner for graduate students at Dr. Rajendra Prasad Central Agricultural University, Bihar.

📚 Publication Top Notes

Shaghaf has published numerous articles in refereed journals and contributed to book chapters and training manuals. His notable works include:

Improving Real-time Apple Fruit Detection: Depth and Multi-modal Information Fusions with Non-targeted Background Removal – Published in Ecological Informatics.

Chickpea Temperature Profile Development and its Implication under Microwave Treatment – Published in Biological Forum – An International Journal.

Osmotic Dehydration of Aloe-vera Gel Discs – Published in Journal of AgriSearch.

Engineering Properties, Processing, and Value Addition of Tamarind: A Review – Published in IJBSM.

Study of Engineering Properties of Selected Vegetable Seeds – Published in Indian Journal of Agricultural Sciences.

 

Conclusion

Shaghaf Kaukab is a strong candidate for the Research for Young Scientist Award. Her innovative research, interdisciplinary expertise, and significant contributions to agricultural engineering, particularly in post-harvest technology, make her a standout. While expanding her outreach and securing more independent funding could strengthen her profile further, her accomplishments thus far demonstrate her potential as a leader in her field.