Mr. Nisar Hussain Instituto Politechnico Nacional, Mexico City, Mexico

Nisar Hussain is a researcher affiliated with the Instituto Politécnico Nacional (IPN) in Mexico City, Mexico. He is currently enrolled in the Doctorate in Computer Science program at IPN’s Centro de Investigación en Computación (CIC), focusing his research on offensive language detection and sentiment analysis in code-mixed text on social media.Throughout his academic career, Hussain has contributed to various studies in the field of Natural Language Processing (NLP). Notably, he co-authored the paper titled “ORUD-Detect: A Comprehensive Approach to Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning–Deep Learning Models with Embedding Techniques,” published in the journal Information in February 2025.In addition to his work on offensive language detection, Hussain has explored other areas of NLP. He co-authored a study on guilt detection in text, which was published in Scientific Reports in July 2023.

Publication Profile

Google scholar

orcid

Education :

Ph.D. in Computer Science (2022-2025, Ongoing)
Instituto Politécnico Nacional, MéxicoMaster’s in Computer Science (2014-2017)
University of Agriculture, Faisalabad, PakistanBachelor of Science in Computer Science (BSCS) (2010-2014)
COMSATS University Islamabad, Sahiwal Campus

Experience :

With 4+ years of experience in developing and deploying ML and NLP systems, I have actively contributed to multiple projects, applying NLP techniques for real-world problem-solving. I have worked with large, complex datasets, implementing hybrid ML-DL approaches for automated text processing, sentiment analysis, and multilingual content understanding. My research collaborations span multiple institutions, focusing on AI-driven solutions for text analysis and detection tasks.

Research Focus :

I specialize in Natural Language Processing (NLP) and Machine Learning, with a particular emphasis on Offensive Language Detection and Sentiment Analysis of Code-Mixed Data. My research explores multilingual and low-resource language models, leveraging and fine-tuning mBERT, XLM-R, IndicBERT, and Google’s BERT-based models. I am particularly interested in hate speech detection, sentiment analysis, language identification, and emotion analysis in complex linguistic environments. My work integrates deep learning techniques, transformers, and hybrid ML-DL models to improve text processing and understanding in diverse multilingual contexts.

Awards:

Published multiple high-impact research papers in leading AI and NLP conferences/journalsActive participant in international AI competitions and workshopsRecognized for contributions to multilingual and low-resource NLP advancements

Publication :

Shaheen, M., Awan, S. M., Hussain, N., & Gondal, Z. A. (2019). Sentiment analysis on mobile phone reviews using supervised learning techniques. IJMECS, 11(7), 32.

Mehak, G., Qasim, A., Meque, A. G. M., Hussain, N., Sidorov, G., & Gelbukh, A. (2025, January). TechExperts (IPN) at GenAI Detection Task 1: Detecting AI-Generated Text in English and Multilingual Contexts. In Proceedings of the 1st Workshop on GenAI Content Detection (GenAIDetect) (pp. 161-165).

Hussain, N., Qasim, A., Mehak, G., Kolesnikova, O., Gelbukh, A., & Sidorov, G. (2025). Hybrid Machine Learning and Deep Learning Approaches for Insult Detection in Roman Urdu Text. AI, 6(2), 33. https://doi.org/10.3390/ai6020033

Qasim, A., Mehak, G., Hussain, N., Gelbukh, A., & Sidorov, G. (2025). Detection of Depression Severity in Social Media Text Using Transformer-Based Models. Information, 16(2), 114. https://doi.org/10.3390/info16020114

Manzoor, M. I., Shaheen, M., Khalid, H., Anum, A., Hussain, N., & Faheem, M. R. (2018). Requirement Elicitation Methods for Cloud Providers in IT Industry. IJMECS, 10(10).

Hussain, N., & Anees, T. (2018). Development of a novel approach to search resources in IoT. International Journal of Advanced Computer Science and Applications, 9(9).

Faheem, M. R., Iftikhar, A., & Hussain, N. (2022). Automated Diagnosing of Eye Disease in Real Time. Journal of Computing & Biomedical Informatics, 3(1), 282-288.

Shaheen, M., Anees, T., Hussain, N., & Obaid, I. (2019, April). A Research on SOA in the IT Industry of Pakistan. In Proceedings of the 2019 ICCTA (pp. 149-154).

Meque, A. G. M., Hussain, N., Sidorov, G., & Gelbukh, A. (2023). Guilt Detection in Text: A Step Towards Understanding Complex Emotions. arXiv preprint arXiv:2303.03510.

Tash, M. S., Ahani, Z., Tonja, A., Gemeda, M., Hussain, N., & Kolesnikova, O. (2022, December). Word Level Language Identification in Code-mixed Kannada-English Texts using Traditional Machine Learning Algorithms. In Proceedings of the (ICON) (pp. 25-28).

Conclusion

Given their strong publication record, hands-on experience with AI models, and focus on low-resource NLP, the candidate is highly competitive for the Best Researcher Award. Strengthening industry collaborations, increasing research impact, and securing grants will further enhance their research profile.

Chaohai Liu | metal bending | Best Researcher Award

Posted on 07/11/202407/11/2024 by 21b4bddf87157652317827146367558f

Mr. Chaohai Liu | metal bending | Best Researcher Award

gunma university, Japan

Mr. Chaohai Liu is a distinguished researcher affiliated with Gunma University in Japan. His expertise lies in advanced engineering and technology, with a focus on innovative solutions in areas such as thermal systems, materials science, or related fields. Known for his commitment to research and academia, Mr. Liu contributes to the university’s mission of advancing knowledge and technology through rigorous research and development.

Summary:

Dr. Gloria García-Donas Gabaldón stands out as an exemplary candidate for the Research for Best Researcher Award due to her significant contributions to medical research and public health. Her extensive publication record and impactful studies highlight her dedication to advancing medical knowledge and improving patient outcomes.

Professional Profiles:

Google Scholar

🎓 Education :

Bachelor of Science (BS) in Material Processing and Control Engineering,Chongqing University of Science and Technology
Thesis: Design of Automotive Roof Rack Stamping,Master of Engineering (MEng) in Vehicle Engineering,Chongqing JIAOTONG University
Thesis: Optimized Design of Rivetless Riveting Process and Parameters for Automotive Heterogeneous Plate Parts,Doctor of Philosophy,(Ph.D.) in Mechanical Engineering,Gunma University,Thesis: Door Sheet Metal Hemming Process Analysis Through Experiment and Numerical Approach

🏢 Experience:

Master’s Research (Sep 2017 – Jun 2020),Conducted comprehensive research at Chongqing JIAOTONG University on lightweight vehicle design and forming technologies, focusing on key applications in the automotive industry.Ph.D. Research (Oct 2020 – Present)
Collaborating with Takatsu Manufacturing Co. at Gunma University, performed both experimental and Finite Element Analysis (FEA) studies on the hemming process, transitioning towards robotic arm roller hemming for improved efficiency. Utilized DEFORM software to conduct detailed analysis, optimize force data, and investigate hardening mechanisms. Developed an experimental platform to evaluate roller hemming defects and proposed advanced testing methods, incorporating the NSGA-II algorithm and exploring potential integrations with deep learning techniques.

🛠️Skills:

Advanced knowledge of CAD and FEA software, especially DEFORM,Expertise in optimization algorithms (NSGA-II),Proficiency in experimental platform development for mechanical testing,Strong background in mechanical material deformation analysis,Skilled in data analysis, problem-solving, and technical report writing

Research Focus :

Dedicated to innovating in the fields of CAD, mechanical engineering optimization, and roller hemming processes, with an emphasis on improving efficiency and accuracy in automotive manufacturing through advanced simulations and experimental methods

🔬Awards:

Recipient of scholarships and academic recognition for research contributions in CAD and optimization.

Conclusion:

In conclusion, Dr. García-Donas is not only a prolific researcher but also a committed healthcare professional whose work has the potential to influence clinical practices significantly. Recognizing her contributions through the Research for Best Researcher Award would not only honor her achievements but also inspire continued excellence and innovation in the field of medicine.

Publications :

GLORIA GARCIA-DONAS GABALDON | Hematologist | Best Researcher Award

Posted on 30/10/202430/10/2024 by 21b4bddf87157652317827146367558f

Dr. GLORIA GARCIA-DONAS GABALDON | Hematologist | Best Researcher Award

Dr. GLORIA GARCIA-DONAS GABALDON, Servicio Andaluz de Salud SAS, Spain

Dr. Gloria Garcia-Donas Gabaldon is a medical professional affiliated with the Servicio Andaluz de Salud (SAS) in Spain. With expertise in her field, she is committed to providing high-quality healthcare and improving patient outcomes. Her work reflects a dedication to advancing medical practices and contributing to public health initiatives within the Andalusian healthcare system.

Summary:

Professional Profiles:

Google Scholar

🎓 Education :

Dr. García-Donas earned her Medical Degree from the University of Seville in 1995, followed by a specialization in Hematology and Hemotherapy in 2001 through the MIR program. She obtained her doctorate in 2008, with a thesis on the prevalence of the G20210A prothrombin mutation in thromboembolic disease, which received a “Cum Laude” distinction. Her academic foundation is reinforced by continuous professional development through numerous accredited courses.

🏢 Experience:

Dr. García-Donas has a diverse professional background, having worked across multiple hospitals in Andalusia, including her current position at Hospital U.V. Macarena in Seville since 2015. Her roles have included responsibilities in laboratory hematimetry and cytomorphology, as well as providing clinical care in various hematological conditions. Over her career, she has accrued significant experience managing anticoagulation therapy and immune thrombocytopenia, focusing on optimizing patient outcomes.

🛠️Skills:

Gloria García-Donas Gabaldón is an accomplished hematologist with extensive expertise in hematology, laboratory techniques, and clinical management. She specializes in oral anticoagulation therapy and immune thrombocytopenia, demonstrating proficiency in patient consultations and laboratory responsibilities. Her clinical acumen is complemented by her teaching and research skills, allowing her to effectively communicate complex concepts to peers and students.

Research Focus :

Her research interests center on thromboembolic disorders, immune thrombocytopenia, and hematological malignancies. She has contributed to the scientific community through various publications and presentations, focusing on genetic factors influencing thrombosis, treatment outcomes in hematological conditions, and novel therapeutic approaches in anticoagulation.

🔬Awards:

Dr. García-Donas has been recognized for her contributions to hematology, including awards for her research presentations at national and international conferences. Her work has significantly impacted clinical practices and treatment protocols, earning her respect within the medical community for her expertise and commitment to advancing the field of hematology.

Conclusion:

Publications :

García-Donas Gabaldón G. “Síndromes hemorrágicos más frecuentes en el niño.” Pediatr Integral 1998; 3(3): 294-302.
García-Donas Gabaldón G. “Prevalencia de los polimorfismos genéticos asociados a trombofilia en población sana del sur de España.” Med Clin (Barc) 2004 Apr 17; 122(14): 556-7.
García-Donas Gabaldón G. “Anemia hemolítica autoinmune causada por autoanticerpos IgA.” Med Clin (Barc) 2004 Nov 13; 123(17): 678.
García-Donas Gabaldón G. “Aplasia pura de serie roja asociada a leucemia linfoide crónica con respuesta favorable a rituximab.” Med Clin (Barc) 2005 Nov 19; 125(18): 717-8.
García-Donas Gabaldón G. “The influence of the age in the risk of the prothrombin G20210A mutation for spontaneous venous thrombosis.” Med Clin (Barc) 2007 May 5; 128(17): 652-4.
García-Donas Gabaldón G. “Capítulo 4.2.4 MPL y mielofibrosis.” In: Manual para el manejo de pacientes con MIELOFIBROSIS. March 2015. ISBN: 978-84-938864-8-6.
García-Donas Gabaldón G. “MIELOFIBROSIS Recomendaciones básicas para el diagnóstico, pronóstico y tratamiento.” March 2015. ISBN: 978-84-938864-7-9.
García-Donas Gabaldón G. “Prevalencia de la mutación de la protrombina G20210A en la enfermedad tromboembólica.” Thesis, May 2008.
Villegas A, Núñez R, Gaya A, Cuevas-Ruiz MV, García-Donas Gabaldón G. “Presence of acute and chronic renal failure in patients with paroxysmal nocturnal hemoglobinuria: results of a retrospective analysis from the Spanish PNH Registry.” Ann Hematol 2017 Oct; 96(10): 1727-1733. doi: 10.1007/s00277-017-3059-x.
Matarraz S, Leoz P, Fernández C, Colado E, Chillón MC, García-Donas Gabaldón G. “Basophil-lineage commitment in acute promyelocytic leukemia predicts for severe bleeding after starting therapy.” Mod Pathol 2018 Aug; 31(8): 1318-1331. doi: 10.1038/s41379-018-0038-2.
Mingot-Castellano ME, García-Candel F, Benítez-Hidalgo O, et al. “Activated prothrombin complex concentrate to treat bleeding events in acquired hemophilia A: BAHAS study.” Eur J Haematol 2022 Dec; 109(6): 686-695. doi: 10.1111/ejh.13853.
Jiménez-Bárcenas R, García-Donas Gabaldón G, Campos-Álvarez RM, et al. “Treatment with fostamatinib in patients with immune thrombocytopenia: Experience from the Andalusian region in Spain-The Fostasur Study.” Br J Haematol 2024 May; 204(5): 1977-1985. doi: 10.1111/bjh.19443.
González-López TJ, Bermejo-Vega N, Cardesa-Cabrera R, et al. “Fostamatinib effectiveness and safety for immune thrombocytopenia in clinical practice.” Blood 2024 Aug 8; 144(6): 646-656. doi: 10.1182/blood.2024024250.

Hanyang Wan | Image processing |Best Researcher Award

Posted on 30/10/2024 by 21b4bddf87157652317827146367558f

Mrs. Hanyang Wan | Image processing |Best Researcher Award

Mrs.Hanyang Wan,University of Electronic Science and Technology of China,China

Mrs. Hanyang Wan is affiliated with the University of Electronic Science and Technology of China, where she is actively involved in advancing research and education. Known for her expertise, Mrs. Wan contributes significantly to her field, fostering innovation and knowledge within the academic community in China.

Summary:

Dr. Peter Yongtao Wang exemplifies a leading researcher in big data, IoT, robotics, and intelligent platforms. His work has significantly impacted technological applications in security, automation, and smart systems on both a domestic and international scale. With leadership roles at top technology firms, he has shaped and implemented cutting-edge solutions, from intelligent buildings to secure cities, and has influenced industry standards through his participation in regulatory committees.

Professional Profiles:

Google Scholar

🎓 Education :

Ph.D. in Engineering,University of Leeds, UK
Dr. Wang holds a Ph.D. in Engineering from the University of Leeds, where his academic focus laid the groundwork for his career in automation, intelligent systems, and advanced software development.

🏢 Experience:

With over a decade of experience in software programming, platform design, and system solutions, Dr. Wang has worked on numerous domestic and international projects, focusing on intelligent buildings, safe cities, and smart cities. His leadership and technical skills have been instrumental in designing and deploying advanced solutions across various sectors. As a recognized expert, he serves as a member of the China Alarm and Monitoring Standardization Committee, where he has actively contributed to the development and review of industry and national standards

🛠️Skills:

Technical Expertise: Proficient in big data platforms, intelligent robotics, cloud computing, and IoT systems. Skilled in network design, integrated security platforms, and software automation.,Programming and Development: Advanced software programming, platform design, and system architecture.,Leadership and Strategy: Proven leadership experience with a focus on driving technology innovation and implementing large-scale solutions for smart cities and secure infrastructure.,Standards and Compliance: Active member of the China Alarm and Monitoring Standardization Committee, with significant experience in industry and national standard development.

Research Focus :

Dr. Wang’s research interests center on the intersection of big data, robotics, and IoT, with a particular focus on developing integrated platforms that enhance security, efficiency, and automation. His postdoctoral research at the University of Leeds, as well as his industry roles, emphasize his commitment to advancing technology in ways that address real-world challenges in urban safety and intelligent building solutions.

🔬Awards:

Dr. Wang’s contributions to intelligent systems and automation have been recognized through various awards, including distinctions from national committees and international organizations. His achievements in safe and smart city solutions have also garnered industry-wide respect and acknowledgment.

Conclusion:

Dr. Wang’s strong industry background, technical expertise, and leadership in intelligent systems make him a solid candidate for the Research for Best Researcher Award, especially if the award criteria value applied research and industry impact. For a competitive edge, showcasing any available publications, academic collaborations, or mentorship contributions could further demonstrate his influence as a researcher.

Publications :

Ultrasonic Spectroscopy Studies of Casein in Water”
Authors: MJW Povey, M Golding, D Higgs, Y Wang
Published in: International Dairy Journal, 1999, 9(3-6): 299-303
Citations: 38

“An Ultrasound Velocity and Attenuation Scanner for Viewing the Temporal Evolution of a Dispersed Phase in Fluids”
Authors: PV Nelson, MJW Povey, Y Wang
Published in: Review of Scientific Instruments, 2001, 72(11): 4234-4241
Citations: 27
“A Simple and Rapid Method for the Determination of Particle Size in Emulsions from Ultrasound Data”
Authors: Y Wang, MJW Povey
Published in: Colloids and Surfaces B: Biointerfaces, 1999, 12(3-6): 417-427
Citations: 22
Ultrasonic Studies of the Development of Flocculation in Mixed Sodium Caseinate and Tween 20 Emulsions”
Authors: C Ritzoulis, E Dickinson, MJW Povey, Y Wang
Published in: Trends in Colloid and Interface Science XV, 2001, 132-135
Citations: 3
“Development of an Intelligent Coal Production and Operation Platform Based on a Real-Time Data Warehouse and AI Model”
Authors: Y Wang, Y Feng, C Xi, B Wang, B Tang, Y Geng
Published in: Energies, 2024, 17(20): 5205
Citations: Not yet available

Peter Yongtao Wang | Deep Learning |Best Researcher Award

Posted on 28/10/202429/10/2024 by 21b4bddf87157652317827146367558f

Dr. Peter Yongtao Wang | Deep Learning |Best Researcher Award

Dr.Peter Yongtao Wang,Tianma technology (Beijing),China

Dr. Peter Yongtao Wang is a prominent figure at Tianma Technology in Beijing, China. With a strong background in advanced engineering and technological innovation, Dr. Wang has led numerous projects in fields like smart manufacturing and materials science. His expertise has significantly contributed to the advancement of Tianma’s technologies, especially in creating solutions that bridge the gap between traditional industries and digital transformation.

Summary:

Professional Profiles:

Google Scholar

🎓 Education :

🏢 Experience:

🛠️Skills:

Research Focus :

🔬Awards:

Conclusion:

Publications :

Ultrasonic Spectroscopy Studies of Casein in Water”
Authors: MJW Povey, M Golding, D Higgs, Y Wang
Published in: International Dairy Journal, 1999, 9(3-6): 299-303
Citations: 38

“An Ultrasound Velocity and Attenuation Scanner for Viewing the Temporal Evolution of a Dispersed Phase in Fluids”
Authors: PV Nelson, MJW Povey, Y Wang
Published in: Review of Scientific Instruments, 2001, 72(11): 4234-4241
Citations: 27
“A Simple and Rapid Method for the Determination of Particle Size in Emulsions from Ultrasound Data”
Authors: Y Wang, MJW Povey
Published in: Colloids and Surfaces B: Biointerfaces, 1999, 12(3-6): 417-427
Citations: 22
Ultrasonic Studies of the Development of Flocculation in Mixed Sodium Caseinate and Tween 20 Emulsions”
Authors: C Ritzoulis, E Dickinson, MJW Povey, Y Wang
Published in: Trends in Colloid and Interface Science XV, 2001, 132-135
Citations: 3
“Development of an Intelligent Coal Production and Operation Platform Based on a Real-Time Data Warehouse and AI Model”
Authors: Y Wang, Y Feng, C Xi, B Wang, B Tang, Y Geng
Published in: Energies, 2024, 17(20): 5205
Citations: Not yet available