Ansar Shah l Big Data | Research Excellence Award

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Assoc. Prof. Dr. Ansar Shah l Big Data | Research Excellence Award

University of Southern Punjab Multan | Pakistan

Dr. Ansar Munir Shah is an Associate Professor of Computer Science with extensive experience in teaching, research, academic leadership, and curriculum development at undergraduate and graduate levels. Dr. Ansar Munir Shah holds a PhD in Computer Science from the University of Technology Phnom Penh, Cambodia, and is an HEC-approved PhD supervisor with strong academic credentials. Dr. Ansar Munir Shah has served in prominent academic roles at EM&E College (NUST), King Khalid University, and ISP Multan, earning multiple awards for committee service and academic excellence. Dr. Ansar Munir Shah’s research interests include wireless sensor networks, IoT, cloud computing, cybersecurity, and AI-driven network and data security.

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Featured Publications

Big Data Meets Jugaad: Cultural Innovation Strategies for Sustainable Performance in Resource-Constrained Developing Economies
– Sustainability, 2025
DOI: 10.3390/su17157087
Dynamic and Integrated Security Model in Inter Cloud for Image Classification
– Foundation University Journal of Engineering and Applied Sciences, 2024
DOI: 10.33897/fujeas.v4i1.874
Efficient Energy and Delay Reduction Model for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.030802
ILSM: Incorporated Lightweight Security Model for Improving QoS in WSN
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.034951
Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.025449

Apoorva Gupta l Economics of Education | Best Researcher Award

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Dr. Apoorva Gupta l Economics of Education | Best Researcher Award

Hansraj College | India

Dr. Apoorva Gupta is an economist with a Ph.D. from Delhi School of Economics, specializing in development economics with a focus on education, health, gender, caste, and social mobility. With extensive teaching experience at Ramjas College and Hansraj College, Dr. Apoorva Gupta has instructed courses in microeconomics, macroeconomics, econometrics, development economics, and data analysis. Her research integrates social networks and intergenerational mobility, supported by experience as a senior research assistant and multiple fellowships. Proficient in Stata, R, and MS Office, Dr. Apoorva Gupta has received awards including Best Paper at the G20 Conference and excels in academic leadership, research, and policy-oriented economic analysis.

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Featured Publications

Exploring the Linkage between Education and Financial Autonomy of Women Working in the Urban Informal Sector
– Economic & Political Weekly, 2025, 60(31), 29
Article · Co-author
Do school facilities increase school enrolment? Evidence from primary school enrolment in India
– Indian Economic Review, 2025, 1-29
Article · Co-author
Probing the linkages between educational level and occupational choices of women working in urban informal sector of India
– Work, 2024, 79(4), 1637-1652
Article · Co-author
Does domestic monetary policy affect foreign direct investment to India?
– Economics Bulletin, 2024, 44(1), 173-181
Article · Co-author
Determinants of income earned by women working in the urban informal sector in India: An empirical study
– Anwesak, 2024, 53(2), 72-86
Article · Co-author

Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

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Dr. Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

 University of Greenwich | United Kingdom

Mohammad Al AHMAD is a dedicated part-qualified ACCA professional and experienced Accounting and Financial Management lecturer with extensive higher-education teaching, research, and financial analysis expertise. He holds a PhD in Accounting and Financial Management from the University of Portsmouth, an MSc in Accounting and Finance from Bath Spa University, an MSc in Finance, and a BSc in Accounting and Financial Management. His professional experience spans senior and lecturer roles at Anglia Ruskin University, Arden University, University of Portsmouth, and others, alongside FP&A experience at Oliver Wyman. His research interests include risk disclosure, big data analytics, financial reporting quality, and governance, supported by strong quantitative, coding, and statistical research skills. His academic contributions include peer-reviewed publications, teaching certifications, and international recognition, reflecting a sustained commitment to excellence in education, research, and inclusive academic leadership.

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Top Publications

Fahad Ali*, Muhammad Ahmar, YueXiang Jiang*, Mohammad Alahmad* (Forthcoming).

A Techno-economic Assessment of Hybrid Energy Systems in Rural Pakistan


Energy (SCI, Impact Factor: 6.082, Q1 Journal)

Fahad Ali*, RongRong He, Mohammad Alahmad*, YueXiang Jiang (Accepted).

Social Acceptance of Solar Technology in Developing Countries: Lessons for Pakistan


Journal of the Asian Economic Community (Journal launch & indexing in progress)

Fahad Ali, Elie Bouri, Nader Naifar, Syed Shahzad, Mohammad Alahmad* (Accepted).

Are Gold-backed Islamic Cryptocurrencies Safe Havens for International Islamic Equity Markets?


Research in International Business and Finance

Laetitia Luttich | Emergency Medicine | Research Excellence Award

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Dr. Laetitia Luttich | Emergency Medicine | Research Excellence Award

 Walter Sisulu University | South Africa

Dr. Laetitia Luttich is an Emergency Medicine Specialist with extensive experience in tertiary critical care, undergraduate medical education, curriculum development, and clinical governance. She holds an MBChB and an MMed in Emergency Medicine, alongside fellowship qualifications from the College of Emergency Medicine of South Africa and advanced training in ultrasound, trauma, disaster medicine, and critical care. Her professional experience spans consultant-level emergency practice, registrar training, ICU service, and coordination of senior medical student rotations. Her research interests focus on trauma epidemiology, emergency care systems, and resuscitation science, with a peer-reviewed publication in emergency trauma outcomes. Her career reflects sustained clinical excellence, academic leadership, and commitment to high-quality, patient-centred emergency care.

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Featured Publication

Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

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Prof. Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Kuwait University | Kuwait

Prof. Mohammed Almulla is a distinguished computer scientist with a Ph.D. from McGill University, Canada. He has served Kuwait University for over three decades, progressing from Assistant Professor to Professor, and held key administrative roles including Department Chair and Acting Vice President. His research focuses on artificial intelligence, automated theorem proving, database systems, and digital transformation in education. He contributed to ABET accreditation, ICT infrastructure, and eLearning initiatives, and actively participates in international conferences and journal reviews. Recognized for his leadership and innovation, he has received awards for informatics excellence, fostering advancements in computing education and research.

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Top 5 Publications

Data-Driven Anesthesia: An Ensemble Model for Propofol and Remifentanil Dosage Control During Medical Surgery

International Journal of Research and Scientific Innovation, 2025
DOI: 10.51244/ijrsi.2025.121500017p
Authors: Abas Almaayofi, Farah Almulla, Mohammed A. Almulla
A Trust-Based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning

Journal of Engineering Research, 2025
DOI: 10.1016/j.jer.2025.03.001
Authors: Farah M. Almulla, Mohammed A. Almulla
A Novel CLIPS-Based Medical Expert System for Migraine Diagnosis and Treatment Recommendation

Kuwait Journal of Science, 2025
DOI: 10.1016/j.kjs.2024.100310
Author: Mohammed A. Almulla
On the Effect of Prior Knowledge in Text-Based Emotion Recognition

International Journal of Research and Scientific Innovation, 2024
DOI: 10.51244/ijrsi.2024.1108005
Author: Mohammed A. Almulla
Facial Expression Recognition Using Deep Convolution Neural Networks

IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2024
DOI: 10.1109/aiot63253.2024.00022
Author: Mohammed A. Almulla

Tianli Ding | Social Impact | Research Excellence Award

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Dr. Tianli Ding | Social Impact | Research Excellence Award

Northwest University | China

Dr. Ding Tianli is an Assistant Professor of Law whose scholarship centers on comparative law and intellectual property law, with particular emphasis on patent law, copyright law, and cross-border intellectual property protection. He earned a Doctor of Laws (LL.D.) through a joint doctoral program between Nanjing University and the University of Freiburg, where his training integrated Chinese and European legal traditions and methodologies. His academic experience includes teaching undergraduate and postgraduate courses such as Comparative Law, Intellectual Property Law, and Patent Law, alongside supervising graduate research in comparative legal systems and intellectual property disputes. Dr. Ding has also contributed to curriculum development and the strengthening of intellectual property law as a specialized discipline within legal education. International research experience as a research assistant at the University of Freiburg further enriched his expertise in comparative and international economic law with an East Asian focus. His research addresses the interaction between intellectual property protection, digital transformation, and governance, as well as interdisciplinary issues linking criminal law, psychology, and cognitive impairment. Dr. Ding has published in reputable international journals, reflecting both doctrinal and empirical approaches to contemporary legal challenges. Overall, his work aims to advance comparative legal understanding and support the development of effective intellectual property protection mechanisms in an increasingly globalized and digitalized legal environment.

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Featured Publication

Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

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Prof. Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

SUNY Upstate Medical University | United States

Prof. Bardia Rodd is an Associate Professor at SUNY Upstate Medical University and Associate Director of AI Innovation at the AI for Health Equity, Analytics, and Diagnostics (AHEAD) Center. He completed dual PhDs in Electrical & Computer Engineering from Université Laval and in Computer Science from the University of Malaya, alongside a postdoctoral fellowship at the University of Pennsylvania Perelman School of Medicine, focusing on precision medicine, artificial intelligence, and image-guided systems. His academic career spans faculty positions at SUNY Upstate, the University of Maryland, and Laval University, with extensive experience in biocomputational engineering, machine learning, medical image analysis, and data-driven healthcare solutions. He has led numerous grants, including initiatives in AI in education, biomedical research, and curriculum development. Prof. Rodd has supervised multiple graduate and postgraduate students and contributed to open educational resources, advancing accessible teaching in machine learning and bioengineering. He is an active member of professional societies including IEEE, SPIE, and the Association of Pathology Informatics, serving on multiple technical committees and leadership roles. His research interests include AI-driven biomedical imaging, predictive modeling, and health equity applications. Prof. Rodd has authored a textbook on machine learning for data analysis and continues to integrate research, teaching, and innovation to advance computational medicine and AI education.

Profile : Scopus

Featured Publications

Siezen, H., Awasthi, N., Rad, M. S., Ma, L., & Rodd, B. (2025). “Low-rank distribution embedding of dynamic thermographic data for breast cancer detection.” Journal of Thermal Biology, 104303.

Usamentiaga, R., Fidanza, A., Yousefi, B., Iacutone, G., Logroscino, G., & Sfarra, S. (2025). “Advancing knee injury prevention and anomaly detection in rugby players through automated processing of infrared thermography: A novel biothermodynamics approach.” Thermal Science and Engineering Progress, 103782.

Rad, M. S., Huang, J. V., Hosseini, M. M., Choudhary, R., Siezen, H., Akabari, R., et al. (2025). “Deep learning for digital pathology: A critical overview of methodological framework.” Journal of Pathology Informatics, 100514.

Yousefi, B., Khansari, M., Trask, R., Tallon, P., Carino, C., Afrasiyabi, A., Kundra, V., Ma, L., Ren, L., Farahani, K., & Hershman, M. (2025). “Measuring subtle HD data representation and multimodal imaging phenotype embedding for precision medicine.” IEEE Transactions on Instrumentation and Measurement, TIM-24-01821.

Cao, Y., Sutera, P., Mendes, W. S., Yousefi, B., Hrinivich, T., Deek, M., et al. (2024). “Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics.” Radiotherapy and Oncology, 199, 110443.

Khalid Alanazi | Engineering | Research Excellence Award

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Dr. Khalid Alanazi | Engineering | Research Excellence Award

Department of Mechanical Engineering/University of Tabuk | Saudi Arabia

Dr. Khalid Alanazi is an Assistant Professor of Mechanical Engineering at the University of Tabuk, specializing in energy systems, fluid mechanics, and material erosion studies. He earned his B.Sc. in Mechanical Engineering with distinction from the University of Tabuk, followed by M.Sc. and Ph.D. degrees from the University of Tulsa, where he conducted extensive research on solid particle erosion, oil-water emulsions, and computational fluid dynamics. Over his academic career, Dr. Alanazi has contributed to both teaching and curriculum development, instructing courses ranging from Engineering Mechanics and Fluid Mechanics to Turbomachinery and Refrigeration Systems, while supervising senior design projects and field training programs. His research primarily focuses on solar-powered desalination technologies, oil-water emulsion behavior under variable conditions, and the erosion resistance of metals in gas-solid flows. Dr. Alanazi has published numerous papers in high-impact journals and presented at international conferences, reflecting his commitment to advancing both fundamental and applied mechanical engineering. Recognized for his academic excellence, he has received multiple awards including the Prince Fahad bin Sultan Award for Academic Excellence and the Chapman Graduate Scholar Presentation Awards. His work continues to bridge experimental, computational, and applied approaches, contributing to sustainable engineering solutions and industrial applications worldwide.

Profile : Google Scholar

Featured Publications

Alanazi, K., Mohan, R. S., Kolla, S. S., & Shoham, O. (2024). “Effects of water salinity and temperature on oil-in-water emulsions stabilized by a nonionic surfactant.” Journal of Molecular Liquids, 414, 126067.

Alanazi, K., Mohan, R., Kolla, S. S., & Shoham, O. (2023). “Experimental study of monovalent salt and hydrochloric acid solution effects on the stability of blank oil-water dispersion in batch separators.” ASME International Mechanical Engineering Congress and Exposition, 87660.

Alanazi, K., Mohan, R., Kolla, S. S., & Shoham, O. (2023). “Effect of water cut and temperature on the stability of emulsifier-free oil-water dispersion in batch separators at various stirrer speeds.” ASME International Mechanical Engineering Congress and Exposition, 87660.

AbdelMeguid, H., Alanazi, K., Al-Shammari, A. F., Al-Twaim, O., Aljuhani, A., et al. (2025). “Sequential thermal and optical upgrades for passive solar stills: Toward sustainable desalination in arid climates.” Clean Energy and Sustainability, 3(4), 10017.

Alanazi, K., Mohan, R., Kolla, S. S., & Shoham, O. (2025). “Stability analysis of pure oil-water emulsion in gravity-based separators.” Journal of Fluids Engineering, 147(1), 011401.

Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

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Assoc. Prof. Dr. Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Assoc. Prof. Dr. Modafar Ati is an accomplished academic and researcher in Computer Science and Information Technology with extensive experience in teaching, curriculum development, and leadership. He holds a BSc in Electrical & Communication Engineering and a PhD in Electrical & Computing Engineering from Newcastle upon Tyne, UK. Dr. Ati has over three decades of experience in both academia and industry, serving in senior roles including Associate Professor at Abu Dhabi University, Acting Dean at Sohar University, and Assistant Dean at multiple institutions in Oman. His professional expertise spans software development, systems integration, networking, ICT, project management, Service-Oriented Architecture (SOA), Artificial Intelligence, Big Data, Cybersecurity, and eHealth smart systems. He has published numerous research articles focusing on AI-driven Chronic Disease Management and smart healthcare systems and has led research groups in eGovernment and ICT. Dr. Ati has received multiple grants and awards, including the Chancellor Innovation Award, and serves on editorial boards and as a senior reviewer for international journals and conferences. His teaching portfolio covers programming, network security, project management, human-computer interaction, and mobile application development. Dr. Ati’s contributions to education, research, and innovation reflect a strong commitment to advancing technology-driven solutions in healthcare, smart cities, and digital systems.

Profile : Google Scholar

Featured Publications

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Efficient chronic disease diagnosis prediction and recommendation system” in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 209–214.

Mohamed, O., Kewalramani, M., Ati, M., & Al Hawat, W. (2021). “Application of ANN for prediction of chloride penetration resistance and concrete compressive strength” in Materialia, 17, 101123.

Mohamed, O. A., Ati, M., & Najm, O. F. (2017). “Predicting compressive strength of sustainable self-consolidating concrete using random forest” in Key Engineering Materials, 744, 141–145.

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Accurate and reliable recommender system for chronic disease diagnosis” in Global Health, 3(2), 113–118.

Ati, M., Kabir, K., Abdullahi, H., & Ahmed, M. (2018). “Augmented reality enhanced computer aided learning for young children” in 2018 IEEE Symposium on Computer Applications & Industrial Electronics.

Mittar Pal | Engineering | Women Researcher Award

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Dr. Mittar Pal | Engineering | Women Researcher Award

Deenbandhu Chhotu Ram University of Science and Technology | India

Dr. Mittar Pal is an experienced academic and researcher in Electronics & Communication Engineering with over twelve years of teaching and research experience, specializing in renewable energy systems and AI‑based engineering applications. He holds a B.Tech in ECE (2003), M.Tech in Nanoscience & Technology (2013) and completed his Pre‑PhD in ECE (2019) from renowned Indian institutions, and recently earned his PhD on barrier identification and prioritisation for solar photovoltaic system deployment in dairy farming in India (2023). His work on techno‑economic analysis of photovoltaic systems in dairy farming and optimization of utility‑integrated solar PV systems has appeared in SCI and Scopus‑indexed outlets, and he has supervised numerous B.Tech and M.Tech projects while contributing to NBA documentation and curriculum development. He is UGC‑NET qualified for Electronic Science (Assistant Professor). His research interests span signal & system theory, digital electronics, power electronics, renewable solar energy modelling (using MATLAB, HOMER Pro, SAM, RETScreen), AI/ML, generative AI, IoT and pattern recognition. With a growing scholarly profile (h‑index ~ 5 and citation count ~5 as per publicly listed profiles), he continues to publish, present at international conferences, and drive innovation in teaching and research. His dedication to transforming traditional dairy farming through solar PV integration underscores his commitment to sustainability and engineering education.

Profile: Scopus 

Featured Publications

Mittarpal. (2018). “Modeling and Simulation of Solar Photovoltaic Module using Matlab-Simulink.” International Journal for Research in Engineering Application & Management .

Mittarpal. (2018). “Modeling Design and Simulation of Photovoltaic Module with Tags Using Simulink.” International Journal of Advance & Innovative Research.

Mittarpal, & Asha. (2018). “Simulation and Modeling of Photovoltaic Module Using Simscape.” National Conference on Advances in Power, Control & Communication Systems .

Mittarpal, Naresh Kumar, & Priyanka Anand, Sunita. (2017). “Realization of Flip Flops Using LabVIEW and MATLAB.”

Mittarpal, Naresh Kumar, & Sunita Rani. (2017). “Realisation of Digital Circuits Systems Using Embedded Function on MATLAB.” International Journal of Engineering and Technology.