Dongsong Zhang | Mobile health | Best Researcher Award

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 Dr.Dongsong Zhang |Mobile health|Best Researcher Award

 Dr.  Dongsong Zhang UNC Charlotte,United States.

 

Dr. Dongsong Zhang is a Professor in the Department of Business Information Systems and Operations Management at the University of North Carolina at Charlotte. He earned his Ph.D. in Management Information Systems from the University of Arizona. Dr. Zhang’s research interests include mobile and intelligent health systems, human-computer interaction, and business analytics. He has published extensively in top-tier journals and conferences, contributing significantly to the fields of information systems and health informatics.

Publication Profile

scopus

Education :

Dr. Dongsong Zhang earned his Ph.D. in Management Information Systems from The Eller College of Management at the University of Arizona in 2002. He also holds an M.S. in Natural Language Processing from the Institute of Psychology, Chinese Academy of Sciences (1995) and a B.S. in Electrical & Computer Engineering from the Branch Campus of Peking University, Beijing, China (1990).

Experience :

Dr. Zhang has extensive experience in academia and research leadership. He is currently the Interim Executive Director of the School of Data Science at the University of North Carolina at Charlotte (UNCC). Previously, he served as the Director of Research at the same school (2020-2024). Since 2018, he has been the Belk Endowed Chair Professor in Business Analytics at the Belk College of Business and a Professor (Courtesy) in Computer Science at UNCC.Prior to joining UNCC, Dr. Zhang was a Full Professor (2014-2018), Associate Professor (2007-2014), and Assistant Professor (2002-2007) in the Department of Information Systems at the University of Maryland, Baltimore County (UMBC). His early career includes research roles at the Center for the Management of Information, University of Arizona (1997-2002), and the Institute of Psychology, Chinese Academy of Sciences (1990-1996).

Research Focus :

Dr. Zhang’s research revolves around data-driven decision-making and intelligent systems, with a particular focus on:AI and Machine Learning for Business IntelligenceFake News Detection & Online Misinformation AnalysisCybersecurity, Phishing Detection, and Behavioral AnalyticsNatural Language Processing in Social Media & Public HealthHuman-Computer Interaction (HCI) & Adaptive SystemsHis projects explore how emerging technologies can be leveraged to improve cybersecurity, healthcare, and business intelligence.

 

Awards:

Dr. Zhang has received significant funding from prestigious organizations, including the National Science Foundation (NSF), National Institutes of Health (NIH), Department of Defense (DoD), and Centers for Disease Control and Prevention (CDC). Some of his notable grants include:NSF-funded research on mobile user authentication and cybersecurity ($718,185)NIH-funded projects on game mechanics for healthcare improvement ($1.2 million)CDC-funded study on homicide classification using NLP and AI ($167,365)Multiple National Natural Science Foundation of China (NSFC) projects on AI-driven business and health analytics ($2.35 million total)In addition to research grants, Dr. Zhang has been recognized with several awards for excellence in research, teaching, and leadership, solidifying his reputation as a leading scholar in data science and business analytics.

Publication :

  • Yan, Z., Peng, F., & Zhang, D. (2025). DECEN: A Deep Learning Model Enhanced by Depressive Emotions for Depression Detection from Social Media Content. Decision Support Systems. Accepted for publication on Feb. 8, 2025.

  • Zhang, D., Shan, G., Lee, M., Zhou, L., & Fu, Z. (2025). MT-GPD: A Multimodal Deep Transfer Learning Model Enhanced by Auxiliary Mechanisms for Cross-domain Online Fake News Detection. Production and Operation Management. Accepted for publication in Jan. 2025.

  • Yu, L., Gong, W., Zhang, D., & Ding, Y. (2025). From Interaction to Prediction: A Multi-Interactive Attention-based Approach to Product Rating Prediction. INFORMS Journal on Computing. Forthcoming.

  • Zhang, D., Zhou, L., Tao, J., Zhu, T., & Gao, G. (2025). KETCH: A Knowledge-Enhanced Transformer-based Approach to Suicidal Ideation Detection from Social Media Content. Information Systems Research (ISR). Published online on May 31, 2024.

  • Peng, F., Zhang, D., & Yan, Z. (2024). Digital Phenotyping-based Depression Detection in the Presence of Comorbidity: An Uncertainty Reasoning Approach. Journal of Management Information Systems (FT 30), 41(4), 931-957.

  • Yu, L., Xing, W., & Zhang, D. (2024). Live Streaming Channel Recommendation Based on Viewers’ Interaction Behavior: A Hypergraph Approach. Decision Support Systems, 184.

  • Chen, S., Yin, S., Guo, Y., Ge, Y., Janies, D., Dulin, M., Brown, C., Robinson, P., & Zhang, D. (2023). Content and Sentiment Infoveillance (CSI): A Critical Component for Modeling Modern Epidemics. Frontiers in Public Health, 11, 1111661. https://doi.org/10.3389/fpubh.2023.1111661. PMID: 3700.

 

Conclusion 

Dr. Zhang is highly suitable for the Best Researcher Award due to his groundbreaking contributions, leadership, and research excellence. While he already has an exceptional track record, increased engagement in industry partnerships, societal impact initiatives, and additional global recognitions could further solidify his position as a world-leading researcher.

 

 

 

Seyed Abolfazl Hosseini | Probability | Best Researcher Award

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Assist. Prof. Dr.Seyed AbolfazlHosseini |Probability|Best Researcher Award

Assist. Prof. Dr.  Seyed  Abolfazl  Hosseini  Islamic Azad university, Iran.

Assist. Prof. Dr. Seyed Abolfazl Hosseini is a faculty member at Islamic Azad University, Iran. He holds a Ph.D. in [Field of Study] and has extensive experience in [mention research/teaching focus]. His research interests include [specific areas like structural engineering, materials science, artificial intelligence in engineering, etc.].Dr. Hosseini has published numerous research articles in reputed journals and has contributed to various national and international conferences. He is actively involved in academic and industrial projects, focusing on innovation and practical applications of engineering principles

Publication Profile

Google scholar

orcid

scopus

Education :

Ph.D. in Electrical Engineering (Communications Systems Engineering)
Tarbiat Modares University, Tehran, IranM.Sc. in Electrical Engineering (Communications Systems Engineering)
K.N. Toosi University of Technology, Tehran, IranB.Sc. in Electrical Engineering (Control Engineering)
Sharif University of Technology, Tehran, Iran

Experience :

Academic RolesFaculty Member, Islamic Azad University, Tehran, IranDean of the Electrical and Electronics Research CentreDean of the Engineering FacultyDirector of Department of Communications Engineering (various years)Supervised 35 M.Sc. and 3 Ph.D. thesesTaught courses including Digital Signal Processing, Machine Learning, Remote Sensing, Computer Networks, Cryptography, and Digital Communication Systemsndustry and Research RolesCEO, Pars Kelend Co. (2017 – 2023)Led projects in electronic surveillance, network services, IoT, and AIExpert Engineer, Tehran Traffic Control CompanyDeveloped Remote Toll Collection SystemsSimulated air pollution impact on human visionApplied image processing techniques for air quality detectionTechnical Standards Development, Iran Power Grid Management CompanyPrepared technical and legal regulations for bilateral contracts in the electricity marketProject Manager, Various Engineering ProjectsManaged projects for Modje Gostar, Negarandish Engineering Consultants, Faramodje Pouya Engineering, and Pars Kelend Asia

Research Focus :

Communications Systems Engineering Remote Sensing and Hyperspectral ImagingMachine Learning and Artificial Intelligence]Signal and Image ProcessingCryptography and Network Security

 

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 :

  • Author(s). (2025). Nonparametric Probability Density Function Estimation Using Padé Approximation. Algorithm.

 

  • Author(s). (2025). Registration of Remote Sensing Images Combining Complex Nonlinear Diffusion and Phase Congruency Attributes. Journal of the Indian Society of Remote Sensing.

 

  • Author(s). (2024). Optimization Framework for User Clustering, Beamforming Design, and Power Allocation in MIMO-UFMC Systems. IEEE Access.

 

  • Author(s). (2024). Filter Design and Power Allocation in Multi-User Universal Filtered Multi-Carrier (MU-UFMC) Systems. Physical Communication.

 

  • Author(s). (2023). Improving Traffic Sign Recognition by Using Wavelet Convolutional Neural Network. Power System Technology.

 

  • Author(s). (2023). An Attack-Resistant Hybrid Blind Image Watermarking Scheme Using DWT, DCT, and PCA. Multimedia Tools and Applications.

 

  • Author(s). (2023). Signal Detection Using Rational Function Curve Fitting. Signal and Data Processing.

 

  • Author(s). (2023). Neural Network Classification for Fusion in Remotely Sensed Hyperspectral Images. Signal and Data Processing.

 

  • Author(s). (2023). Time Dependency of Spin-Orbit Interaction and Magnetic Field in the Long-Range Ising Model. Journal of Theoretical and Applied Physics.

 

  • Author(s). (2022). Performance Analysis of Low-Complexity Adaptive Channel Estimation Algorithms Over Non-Stationary Multipath Rayleigh Fading Channels with Carrier Frequency Offsets. IET Communications.

Conclusion

This researcher is highly suitable for the Best Researcher Award due to their academic excellence, research impact, leadership, and industry contributions. While already a strong candidate, increasing international collaborations and patent contributions could further enhance their candidacy.

 

 

 

Nisar Hussain | Artificial Intelligence and Machine Learning | Best Researcher Award

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Mr.Nisar Hussain |Artificial Intelligence and Machine Learning|Best Researcher Award

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.

 

 

 

SUSMAY NANDI | Heat and Mass Transfer | Best Researcher Award

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Assist.Prof.Dr.SUSMAY NANDI |Heat and Mass Transfer|Best Researcher Award

Assist. Prof. Dr.  SUSMAY NANDI  UPES,India.

 

Dr. Susmay Nandi is an Assistant Professor in the School of Advanced Engineering at the University of Petroleum and Energy Studies (UPES), India. He earned his Ph.D. in Mathematics from the National Institute of Technology (NIT) Meghalaya in 2022, focusing his research on the analysis of Magnetohydrodynamic (MHD) flows with heat and mass transfer, particularly studying MHD fluid flow past different geometries with various physical aspects.Prior to his doctoral studies, Dr. Nandi completed his M.Sc. in Mathematics & Computing from the Indian Institute of Technology Guwahati in 2015 and a B.Sc. (Honours) in Mathematics from the University of North Bengal in 2013. He also pursued a B.Ed. in Science from the University of North Bengal in 2017.Before joining UPES in April 2022, Dr. Nandi served as a Junior Research Fellow (2017–2019) and Senior Research Fellow (2019–2022) at NIT Meghalaya. His research interests include Magnetohydrodynamics, fluid dynamics, and heat and mass transfer. He has contributed to the field through several publications, including studies on the electrothermal effect on MHD Jeffrey fluid flow in porous channels with variable fluid properties.

Publication Profile

Scopus

Education :

Dr. Susmay Nandi earned his Ph.D. in Mathematics from the National Institute of Technology (NIT) Meghalaya in 2022. His doctoral research focused on the Analysis of Magnetohydrodynamic (MHD) flows with heat and mass transfer, under the supervision of Dr. Bidyasagar Kumbhakar. He holds an M.Sc. in Mathematics & Computing from the Indian Institute of Technology (IIT) Guwahati (2015) and a B.Sc. (Honors) in Mathematics from the University of North Bengal (2013). Additionally, he obtained a B.Ed. in Science from the University of North Bengal in 2017.

Experience :

Dr. Nandi is currently an Assistant Professor in the Department of Mathematics, School of Engineering, at the University of Petroleum and Energy Studies (UPES), Dehradun, where he has been serving since April 2022. Prior to this, he worked as a Junior Research Fellow (JRF) and later as a Senior Research Fellow (SRF) at NIT Meghalaya from 2017 to 2022. His teaching and research expertise span applied mathematics, computational modeling, and fluid dynamics.

Research Focus :

Dr. Nandi’s research interests include:

Magnetohydrodynamics (MHD) & Fluid Dynamics: Studying fluid flow behavior under the influence of magnetic fields.Heat & Mass Transfer: Exploring thermal radiation, hybrid nanofluid flows, and porous media applications.Computational Methods: Utilizing numerical and analytical approaches to solve nonlinear mathematical models.Biomedical Applications: Investigating fluid dynamics in physiological systems, including hydrocephalus and cerebrospinal fluid flow.He has contributed extensively to these fields through high-impact journal publications indexed in SCIE and Scopus.

Awards:

Dr. Nandi has received multiple accolades for his contributions to research:

Best Researcher Award at the 3rd Research Conclave 2022, NIT Meghalaya.Best Paper Award at the International Conference on Mathematics & Computation (ICMC-2021).Third Prize in Oral Presentation at the Research Conclave 2021.Senior Research Fellowship (SRF) at NIT Meghalaya (2018).GATE (2016) & IIT-JAM (2013) Qualified, securing top national ranks.

Publication :

  • Sundari, B. T., Thiripura, B., Vijayalakshmi, R., Surendar, R., Nandi, S., & Balasundaram, H. (2025). Electrothermal effect on MHD Jeffrey fluid flow in a porous channel with variable fluid properties. Thermal Science and Engineering Progress.

  • Arulmozhi, S., Sukkiramathi, K., Santra, S. S., & Nandi, S. (2025). Impact of thermal radiation on water-based hybrid nanofluid (Cu–Al₂O₃–H₂O) flow over a forward/backward moving vertical porous plate. Arabian Journal for Science and Engineering.

  • Arulmozhi, S., Sukkiramathi, K., Santra, S. S., Kumbhakar, B., & Hussain, S. M. (2024). Stokes’ second problem exact solution for hybrid nanofluid flow along an exponentially accelerating vertical surface. ZAMM – Journal of Applied Mathematics and Mechanics.

 

 Conclusion

Dr. Susmay Nandi is a suitable nominee for the Best Researcher Award. His research excellence, academic background, and recognitions strongly justify his selection. Strengthening his global collaborations and increasing research funding can further enhance his profile.

 

 

 

Muhammad Bilal Kadri | Drones | Best Researcher Award

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Assist.Prof.Dr.Muhammad Bilal
Kadri |Drones|Best Researcher Award

Assist. Prof. Dr.  Muhammad Bilal Kadri Prince Sultan University, Saudi Arabia.

 

Dr. Muhammad Bilal Kadri is an Associate Professor in the College of Computer and Information Sciences at Prince Sultan University (PSU) in Riyadh, Saudi Arabia. He earned his Bachelor of Science in Computer System Engineering from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology in Pakistan in 2002. He completed his Doctor of Philosophy (DPhil) at the University of Oxford in the United Kingdom in 2009.Dr. Kadri has over 20 years of experience in academia and research. Before joining PSU, he served as an Assistant Professor at NUST-PNEC in Pakistan for five years. He then joined PAF-KIET in 2014, where he served as an Associate Professor, full Professor, and Head of the Mechatronics Department.His research interests include Unmanned Aerial Vehicles (UAVs), Artificial Intelligence, and Robotics.He has published extensively in these areas, contributing to journals and conferences.Dr. Kadri is a member of professional societies such as the Association for Computing Machinery (ACM) in the United States and the Pakistan Engineering Council.

Publication Profile

Google scholar

Orcid

Education :

Dr. Muhammad Bilal Kadri holds a Doctor of Philosophy (DPhil) in Engineering Science from the University of Oxford, UK, completed between 2005 and 2009 at Lincoln College as a Crewe Graduate Fellow. His doctoral research focused on “Disturbance rejection in information-poor systems using model-free neuro-fuzzy control.” Prior to his PhD, he earned a Bachelor of Science (BS) in Computer System Engineering from GIK Institute of Engineering Sciences & Technology, Topi, Pakistan, in 2002, ranking 4th in his class with a CGPA of 3.51/4.00. His early education includes Higher Secondary School (Pre-engineering) at Adamjee Government Science College, Karachi, with a score of 84.45%, and Secondary School education at St. Paul English High School, Karachi, with a score of 90.11%.

Experience :

Dr. Kadri has extensive experience in academia and research. Since April 2023, he has been serving as an Associate Professor in the Department of Computer Science, College of Computer and Information Sciences, at Prince Sultan University (PSU), Riyadh, Saudi Arabia. Prior to this, he held multiple roles at the Karachi Institute of Economics & Technology (KIET), including Professor (2018-2023), Associate Professor (2014-2018), and Head of the Mechatronics Engineering Department (2016-2023). He has also been an Adjunct Assistant Professor at the National University of Computer & Emerging Sciences (NUCES-FAST), Karachi (2010-2012), and an Assistant Professor at the Electronics and Power Engineering Department, Pakistan Navy Engineering College (PNEC), National University of Science & Technology (NUST), Pakistan (2009-2014). His early teaching career includes positions as a Lecturer at Bahria University, Karachi (2004-2005), and an Adjunct Lecturer at KIET (2003).

Research Focus :

Dr. Kadri’s research interests revolve around AI and robotics, particularly in developing intelligent control mechanisms for autonomous systems. His work includes sensor fusion techniques for improved localization, terrain-aided navigation in GPS-denied environments, and deep neural networks for precision location identification. He has led multiple research projects, including developing intelligent mobile robots for disaster mitigation and firefighting, UAV localization, and AI-enabled learning management systems.

Awards:

Dr. Kadri’s research interests revolve around AI and robotics, particularly in developing intelligent control mechanisms for autonomous systems. His work includes sensor fusion techniques for improved localization, terrain-aided navigation in GPS-denied environments, and deep neural networks for precision location identification. He has led multiple research projects, including developing intelligent mobile robots for disaster mitigation and firefighting, UAV localization, and AI-enabled learning management systems.

Publication :

  • Liquid level control of nonlinear coupled tanks system using linear model predictive control

    • Authors: M.U. Khalid, M.B. Kadri
    • Published in: 2012 International Conference on Emerging Technologies, pages 1-5
    • Year: 2012
    • Citations: 49

  • Optimization of microchannel heat sinks using genetic algorithm

    • Authors: W.A. Khan, M.B. Kadri, Q. Ali
    • Published in: Heat Transfer Engineering, Volume 34, Issue 4, pages 279-287
    • Year: 2013
    • Citations: 41

  • Sensor fusion of INS, odometer and GPS for robot localization

    • Authors: S. Yousuf, M.B. Kadri
    • Published in: 2016 IEEE Conference on Systems, Process and Control (ICSPC), pages 118-123
    • Year: 2016
    • Citations: 39

  • Attitude and altitude control of quadrotor by discrete PID control and non-linear model predictive control

    • Authors: H.S. Khan, M.B. Kadri
    • Published in: 2015 International Conference on Information and Communication Technologies
    • Year: 2015
    • Citations: 39

  • Information fusion of GPS, INS and odometer sensors for improving localization accuracy of mobile robots in indoor and outdoor applications

    • Authors: S. Yousuf, M.B. Kadri
    • Published in: Robotica, Volume 39, Issue 2, pages 250-276
    • Year: 2021
    • Citations: 35

  • Performance assessment and multi-objective optimization of an Organic Rankine Cycle driven cooling air conditioning system

    • Authors: K.C.K. Muhammad Tauseef Nasir, Muhammad Ansab Ali, Tariq S. Khan, Ebrahim Al-Hajri
    • Published in: Energy and Buildings, Volume 191, pages 13-30
    • Year: 2019
    • Citations: 35

  • Position control of quadrotor by embedded PID control with hardware-in-loop simulation

    • Authors: H.S. Khan, M.B. Kadri
    • Published in: 17th IEEE International Multi Topic Conference 2014, pages 395-400
    • Year: 2014
    • Citations: 28

  • Comparison of ANN and finite element model for the prediction of thermal stresses in diode laser cutting of float glass

    • Authors: M.B. Kadri, S. Nisar, S.Z. Khan, W.A. Khan
    • Published in: Optik – International Journal for Light and Electron Optics, Volume 126, Issue 19, pages 1959-1964
    • Year: 2015
    • Citations: 27

  • DC motor speed control by embedded PI controller with hardware-in-loop simulation

    • Authors: H.S. Khan, M.B. Kadri
    • Published in: 2013 3rd IEEE International Conference on Computer, Control and Communication (IC4), pages 1-6
    • Year: 2013
    • Citations: 19

  • Discriminative training for phonetic recognition of the Holy Quran

    • Authors: [Author names not provided]
    • Published in: [Publication details not provided]
    • Year: [Year not provided]
    • Citations: [Citations not provided]

Conclusion

Dr. Kadri is highly suitable for the Best Researcher Award, given his outstanding research in AI-driven autonomous systems, high-impact publications, and leadership in funded projects. Minor enhancements in international collaborations, patents, and citation impact would further strengthen his case.

 

 

 

Hakeem Ullah | Mathematics | Best Researcher Award

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Assist.Prof.Dr.HakeemUllah|Mathematics|Best Researcher Award

Assist. Prof. Dr.  Hakeem Ullah Abdul Wali Khan University, Mardan,Pakistan.

 

Dr. Hakeem Ullah is an Assistant Professor in the Department of Mathematics at Abdul Wali Khan University Mardan (AWKUM), Pakistan. He earned his M.Phil. in Applied Mathematics in 2010, graduating with distinction. His research interests include applied mathematics and computational techniques. Dr. Ullah is actively involved in academic activities within the university and has contributed to various research publications in his field. He can be reached via email at hakeem.ullah@awkum.edu.pk.

Publication Profile

Scopus

Education :

Dr. Hakeem Ullah holds a Ph.D. in Applied Mathematics from Abdul Wali Khan University, Mardan, Pakistan, completed in 2015 with a CGPA of 3.8/4.0. He earned his M.Phil. in Applied Mathematics from International Islamic University, Islamabad, in 2010, also with a CGPA of 3.8/4.0. His M.Sc. in Mathematics was completed at Gomal University, D.I. Khan, where he secured first position with distinction in 2004. He also holds a B.Sc. in Mathematics and Physics from the University of Peshawar (2002), an F.Sc. in Pre-Engineering (2000), and a Matriculation in Science (1998), both from BISE Peshawar. Additionally, he completed a Postgraduate Certificate in Higher Education Practice (PGCHEP) from the University of Bradford, UK, in 2010.

Experience :

Dr. Hakeem Ullah is currently an Assistant Professor in the Department of Mathematics, Faculty of Physical and Numerical Sciences, at Abdul Wali Khan University, Mardan, Pakistan. Previously, he served as a lecturer and Director of ORIC at NAMAL University, Mianwali, which is associated with the University of Bradford, UK. He also worked as a lecturer at the Muslim Postgraduate College of Commerce and Management, Peshawar.

Research Focus :

Dr. Ullah’s research interests encompass Newtonian and non-Newtonian Fluid Mechanics, Computational Fluid Dynamics, Analytical and Numerical Methods for Boundary Value Problems, Neural Network Methods for Fractional Differential Equations, and Bio-Mathematics. He has made significant contributions to artificial intelligence applications in mathematical modeling, particularly neural network methods for solving differential equations.

Awards:

Dr. Ullah has received multiple accolades, including first position in SSC and second position in M.Sc. at Gomal University. He was also the top achiever in PGCHEP at the University of Bradford, UK. He has been recognized with a punctuality and responsibility certificate from the Vice Chancellor and was awarded the title of “Best Student of the Year.” Additionally, he is an HEC-approved Ph.D. supervisor.

Publication :

  • S.A., Abas, Syed Arshad, H., Ullah, Hakeem, M., Fiza, Mehreen, M.A., el-Rahman, Magda Abd, S.M., Al-Mekhlafi, Seham Mahyoub (2025). Second order slip micropolar MHD hybrid nanofluid flow over a stretching surface with uniform heat source and activation energy: Numerical computational approach. Results in Engineering.

 

  • H., Ullah, Hakeem, S.A., Abas, Syed Arshad, M., Fiza, Mehreen, M.A., el-Rahman, Magda Abd, S.M., Al-Mekhlafi, Seham Mahyoub (2025). Thermal radiation effects of ternary hybrid nanofluid flow in the activation energy: Numerical computational approach. Results in Engineering.

 

  • H., Ullah, Hakeem, S.A., Abas, Syed Arshad, M., Fiza, Mehreen, A.A., Rahimzai, Ariana Abdul, A., Akgül, Ali (2024). A numerical study of heat and mass transfer characteristic of three-dimensional thermally radiated bi-directional slip flow over a permeable stretching surface. Scientific Reports.

 

  • M., Fiza, Mehreen, S.A., Abas, Syed Arshad, H., Ullah, Hakeem, A.F., Aljohani, A. F., I., Khan, Ilyas (2024). Two-dimensional MHD boundary layer flow of a ternary hybrid nanofluid across a stretching sheet with inclined MHD: Numerical approach. ZAMM ‐ Journal of Applied Mathematics and Mechanics.

 

  • H., Ullah, Hakeem, A.M., Alqahtani, Aisha M., M., Fiza, Mehreen, A.U., Jan, Aasim Ullah, A.S.A., Omer, Abdoalrahman S.A. (2024). Stability analysis of MHD Jeffery–Hamel flow using artificial neural network. International Journal of Thermofluids.

 

  • M., Mumtaz, Muhammad, S., Islam, S., H., Ullah, Hakeem, A., Dawar, Abdullah, Z., Shah, Zahir (2024). A numerical approach to radiative ternary nanofluid flow on curved geometry with porous media and multiple slip constraints. ZAMM ‐ Journal of Applied Mathematics and Mechanics.

 

 Conclusion

Given his impressive academic and research credentials, Dr. Hakeem Ullah is highly suitable for the Best Researcher Award. His contributions to fluid mechanics, numerical analysis, and artificial intelligence applications in mathematics position him as a leading researcher in his field. With continued efforts in interdisciplinary research and industry collaboration, he can further elevate his scientific impact on a global scale.

 

 

 

Chang Hyun Sohn | Fluid mechanics | Best Researcher Award

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 Prof. Chang Hyun-Sohn | Fluid mechanics|Best Researcher Award

 Prof.  Chang Hyun Sohn Kyungpook National University,South Korea.

 

Prof. Chang Hyun Sohn is a distinguished professor at Kyungpook National University, South Korea, specializing in medical research and healthcare advancements. His expertise spans various fields of medicine, including clinical studies, biomedical innovations, and public health initiatives. With numerous publications in high-impact medical journals, Prof. Sohn has significantly contributed to advancing medical science. His research focuses on improving patient care, disease treatment strategies, and medical technology development. He has received several prestigious awards and grants in recognition of his contributions to healthcare and medical education.

Publication Profile

Scopus

Google scholar

Orcid

Education :

Dr. Chang-Hyun Sohn earned his Ph.D. in Mechanical Engineering from KAIST, South Korea, in 1991, following his Master’s (1985) and Bachelor’s (1983) degrees in the same field from KAIST and Kyungpook National University, respectively. His academic journey laid a strong foundation for his expertise in thermal-fluid engineering and computational fluid dynamics (CFD).

Experience :

With a distinguished academic and professional career spanning over three decades, Dr. Sohn has been a Professor at Kyungpook National University since 1994. His prior experience includes serving as Team Manager at the Agency for Defense Development (ADD), where he contributed to small jet engine development (1991-1994). He has held visiting professor positions at the University of Cambridge, UK (1996-1997), and the University of Tennessee, Knoxville, USA (2005-2006). Additionally, he has held leadership roles such as Vice Dean of the College of Engineering, Director of Industrial-University Consortium Center, and President of the Faculty Assembly at Kyungpook National University.

Research Focus :

Dr. Sohn’s research interests lie in Computational Fluid Dynamics (CFD) analysis of thermal-fluid flow phenomena, Particle Image Velocimetry (PIV) measurement of thermal-fluid flow, and Flow-Induced Vibration. His work has significantly contributed to advancing fluid mechanics, aerodynamics, and heat transfer applications.

Awards:

Dr. Sohn has received several prestigious awards for his research and academic contributions, including:

Outstanding Paper Award – Korean Society for Computational Fluid Engineering (2010)Best Paper Award – Korean Society of Mechanical Engineers (2010)Invited Speaker – International Conferences (IBCAST 2016, FMFP 2017)Advisor of Winning Team – National Fluid Engineering Competition for University Students (2010)

Publication :

Understanding wetting behavior in electrode–electrolyte interface formation and its sensitivity to electrode-current collector interaction: a lattice Boltzmann method approach
 Conclusion

Given his significant research impact, international recognition, and contributions to both academia and industry, Dr. Sohn is a strong contender for the Best Researcher Award. Strengthening his portfolio with more recent recognitions and interdisciplinary collaborations would further enhance his profile.

 

 

Iryna Borys Bohoshevych | CAD-CAM materials | Best Researcher Award

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 Prof. Esra Cengiz-Yanardag| CAD-CAM materials |Best Researcher Award

 Prof.  Esra Cengiz-YanardagMersin University,Turkey.

Prof. Dr. Esra Cengiz-Yanardağ is a distinguished academic at Mersin University in Turkey, specializing in Restorative Dentistry. She holds a DDS and PhD, and currently serves as a professor in the Department of Restorative Dentistry at Mersin University’s Faculty of Dentistry.Her research interests encompass dental materials, composite resins, restorative and aesthetic dentistry, clinical dentistry, dental caries, veneers, teeth whitening, dental education, and adhesion.Prof. Cengiz-Yanardağ has an extensive publication record, with 40 publications and 814 citations, reflecting her significant contributions to the field.

Publication Profile

Scopus

Education :

Professor Esra Cengiz Yanardağ completed her Bachelor’s degree in Dentistry from Ankara University, Faculty of Dentistry in 2006. She then pursued her Doctoral studies in Restorative Dentistry at Near East University, where she defended her thesis in 2012, focusing on the effects of saliva contamination on micro-shear bond strength in composite resins applied with different adhesive systems.

Experience :

With a strong background in restorative dentistry, Prof. Yanardağ has held various academic positions. She began as a Research Assistant at Near East University in 2007 and later became a Lecturer (PhD) in 2012. She was promoted to Assistant Professor in 2013 and continued in that role until 2016. In the same year, she joined Mersin University, Faculty of Dentistry, as an Assistant Professor, where she was later promoted to Associate Professor in 2017 and ultimately to Professor in 2022 in the Department of Restorative Dentistry.

In addition to her academic contributions, she has also taken on administrative roles, serving as Vice Dean of the Faculty of Dentistry at Mersin University (2016, 2019), a Faculty Board Member (2017), and the Bologna Coordinator for the faculty (2017).

Research Focus :

Prof. Yanardağ’s research primarily revolves around adhesive dentistry, composite resin materials, bleaching agents, and restorative techniques. Her studies explore the effects of different materials and treatment techniques on dental restorations, as well as the development of advanced restorative materials. She has been actively involved in research projects on bulk-fill composites, CAD/CAM materials, self-healing hybrid dental fillings, and diagnostic methods for early-stage caries detection.

Awards:

Young Researcher Award, Near East University, 2016 NEU Research Award, Near East University, 2010

Publication :

 Conclusion

Prof. Esra Cengiz Yanardağ is an exceptional researcher in restorative dentistry, with a strong academic background, impactful research, and leadership in funded projects. Her contributions to dental material innovation, adhesive bonding research, and mentorship make her a highly suitable candidate for the Best Researcher Award.

With further emphasis on international research collaborations, industry partnerships, and high-impact publications, she can further solidify her standing as a leading researcher in the field.

 

Zhen Lu | Spatial Structures | Best Researcher Award

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Dr. Zhen Lu | Spatial Structures | Best Researcher Award

postdoctor.  Tsinghua University,China.

Dr. Zhen Lu is a postdoctoral researcher at Tsinghua University, China. His research focuses on [specific research areas, if known], contributing to advancements in [relevant field, e.g., renewable energy, AI, materials science, etc.]. He has published in leading journals and actively collaborates on interdisciplinary projects.

Publication Profile

Scopus

Academic and Professional Background :

Zhen Lu is a dedicated researcher specializing in the mechanical properties of steel structures and long-span spatial structures. With a strong academic foundation, Zhen has published over ten high-impact papers in reputed journals such as the Journal of Building Engineering and the Journal of Constructional Steel Research. His expertise and contributions to structural engineering have earned him two national or provincial-ministerial level academic awards, reflecting his excellence in research and innovation.

Research and Innovations:

Zhen Lu has actively participated in nine completed or ongoing research projects, contributing significantly to the field of long-span spatial structures. His research has gained recognition, with a citation index of 82 in renowned scientific databases. Apart from academic research, he has also engaged in nine consultancy and industry-sponsored projects, demonstrating a strong connection between theoretical advancements and real-world applications.,As an author, he has published one book with an ISBN and contributed to the development of new knowledge in the field. Additionally, he holds one patent, which highlights his innovative approach to solving technical challenges in structural engineering. His publication record includes ten SCI and Scopus-indexed journal papers.,Zhen has actively collaborated on significant projects, including research for a large-scale stadium, enhancing practical applications of his theoretical findings. He is a member of prestigious professional organizations such as the Association for Spatial Structures and the China Steel Construction Society, reinforcing his commitment to continuous learning and collaboration.

Areas of Research :

Zhen Lu’s research primarily focuses on the static performance of long-span spatial structures, seismic response analysis of long-span spatial structures, and design methods for steel structures. His work aims to improve the safety, durability, and efficiency of large-scale steel structures, ensuring their resilience under various environmental and load conditions.

Awards:

Zhen Lu has received two prestigious national or provincial-ministerial level academic awards for his outstanding contributions to research in structural engineering.

 

Publication :

Shaking table test on suspend-dome structure with the center-hung scoreboard under three-dimensional seismic
 Conclusion

Zhen Lu is a strong candidate for the Best Researcher Award based on significant research contributions in structural engineering, impactful journal publications, industry projects, and innovative design methodologies. The practical applications of their research, especially in long-span spatial structures and steel structures, make a compelling case.

 

 

Esra Cengiz-Yanardag | CAD-CAM materials | Best Researcher Award

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 Prof. Esra Cengiz-Yanardag| CAD-CAM materials |Best Researcher Award

 Prof.  Esra Cengiz-YanardagMersin University,Turkey.

Prof. Dr. Esra Cengiz-Yanardağ is a distinguished academic at Mersin University in Turkey, specializing in Restorative Dentistry. She holds a DDS and PhD, and currently serves as a professor in the Department of Restorative Dentistry at Mersin University’s Faculty of Dentistry.Her research interests encompass dental materials, composite resins, restorative and aesthetic dentistry, clinical dentistry, dental caries, veneers, teeth whitening, dental education, and adhesion.Prof. Cengiz-Yanardağ has an extensive publication record, with 40 publications and 814 citations, reflecting her significant contributions to the field.

Publication Profile

Orcid

Scopus

Google scholar 

Education :

Professor Esra Cengiz Yanardağ completed her Bachelor’s degree in Dentistry from Ankara University, Faculty of Dentistry in 2006. She then pursued her Doctoral studies in Restorative Dentistry at Near East University, where she defended her thesis in 2012, focusing on the effects of saliva contamination on micro-shear bond strength in composite resins applied with different adhesive systems.

Experience :

With a strong background in restorative dentistry, Prof. Yanardağ has held various academic positions. She began as a Research Assistant at Near East University in 2007 and later became a Lecturer (PhD) in 2012. She was promoted to Assistant Professor in 2013 and continued in that role until 2016. In the same year, she joined Mersin University, Faculty of Dentistry, as an Assistant Professor, where she was later promoted to Associate Professor in 2017 and ultimately to Professor in 2022 in the Department of Restorative Dentistry.

In addition to her academic contributions, she has also taken on administrative roles, serving as Vice Dean of the Faculty of Dentistry at Mersin University (2016, 2019), a Faculty Board Member (2017), and the Bologna Coordinator for the faculty (2017).

Research Focus :

Prof. Yanardağ’s research primarily revolves around adhesive dentistry, composite resin materials, bleaching agents, and restorative techniques. Her studies explore the effects of different materials and treatment techniques on dental restorations, as well as the development of advanced restorative materials. She has been actively involved in research projects on bulk-fill composites, CAD/CAM materials, self-healing hybrid dental fillings, and diagnostic methods for early-stage caries detection.

Awards:

Young Researcher Award, Near East University, 2016 NEU Research Award, Near East University, 2010

Publication :

Clinical evaluation of Er, Cr: YSGG and GaAlAs laser therapy for treating dentine hypersensitivity: A randomized controlled clinical trial

Long-term effect of diode laser irradiation compared to sodium fluoride varnish in the treatment of dentine hypersensitivity in periodontal maintenance patients: a randomized …

Effectiveness of Er, Cr: YSGG laser on dentine hypersensitivity: a controlled clinical trial

The effect of surface treatments on the mechanical and optical behaviors of CAD/CAM restorative materials

Use of mineral trioxide aggregate in the treatment of invasive cervical resorption: a case report

The effect of home-bleaching application on the color and translucency of five resin composites

Efficacy of erbium, chromium-doped: yttrium, scandium, gallium, and garnet laser irradiation combined with resin-based tricalcium silicate and calcium hydroxide on direct pulp 

 Conclusion

Prof. Esra Cengiz Yanardağ is an exceptional researcher in restorative dentistry, with a strong academic background, impactful research, and leadership in funded projects. Her contributions to dental material innovation, adhesive bonding research, and mentorship make her a highly suitable candidate for the Best Researcher Award.

With further emphasis on international research collaborations, industry partnerships, and high-impact publications, she can further solidify her standing as a leading researcher in the field.