Sardar Muhammad Usman | Social Sciences | Research Excellence Award

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Dr. Sardar Muhammad Usman | Social Sciences | Research Excellence Award

COMSATS University Islamabad | Pakistan

Dr. Sardar Muhammad Usman is an Assistant Professor of Finance & Accounting at COMSATS University Islamabad, with over a decade of academic experience in teaching, research, and academic leadership. He holds a PhD in Finance (Enterprise Management) from Zhejiang University, China, an AACSB- and EQUIS-accredited institution, along with an MS in Finance from Umeå University, Sweden, and an MBA and BBA in Finance from the University of Peshawar. His scholarly work appears in leading journals indexed in SSCI and SCOPUS (Q1–Q3), with cumulative journal impact factors exceeding 48. Dr. Usman’s research interests span crowdfunding, fintech, sustainable finance, ESG disclosure, behavioral finance, machine learning applications in finance, and financial market efficiency. He has supervised PhD and MPhil researchers and is an HEC-approved PhD supervisor. His academic service includes editorial board membership, reviewer roles for high-impact journals, curriculum development, accreditation activities, and postgraduate evaluation committees. He has also secured competitive international research grants and completed doctoral and master’s studies under prestigious Chinese and Swedish government scholarships. Overall, Dr. Usman’s career reflects a strong integration of impactful research, innovative teaching, and meaningful contributions to sustainable and inclusive financial systems.

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Featured Publications


What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy
A. Hussain, M. S. Sial, S. M. Usman, J. Hwang, Y. Jiang, A. Shafiq,
International Journal of Environmental Research and Public Health, 16(6), 994, 2019. (SCOPUS Q1, 138 Citations)


Prevalence of Burnout Among Primary Health Care Staff and Its Predictors: A Study in Iran
E. Zarei, F. Ahmadi, M. S. Sial, J. Hwang, P. A. Thu, S. M. Usman,
International Journal of Environmental Research and Public Health, 16(12), 2249, 2019. (SCOPUS Q1, 121 Citations)


The Effects of Creator Credibility and Backer Endorsement in Donation Crowdfunding Campaigns Success
F. A. S. Bukhari, S. M. Usman, M. Usman, K. Hussain,
Baltic Journal of Management, 15(2), 215–235, 2020. (SCOPUS Q2, 73 Citations)


Does the Role of Media and Founder’s Past Success Mitigate the Problem of Information Asymmetry? Evidence from a UK Crowdfunding Platform
S. M. Usman, F. A. S. Bukhari, M. Usman, D. Badulescu, M. S. Sial,
Sustainability, 11(3), 692, 2019. (SCOPUS Q1, 54 Citations)


Message Framing and Self-Conscious Emotions Help to Understand Pro-Environmental Consumer Purchase Intention: An ERP Study
M. Zubair, S. Iqbal, S. M. Usman, M. Awais, R. Wang, X. Wang,
Scientific Reports, 10, 18304, 2020. (SCOPUS Q1, 53 Citations)

Sridevi S | Engineering and Technology | Best Researcher Award

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Dr. Sridevi S | Engineering and Technology | Best Researcher Award

Presidency University | India

Dr. Sridevi S is an accomplished Assistant Professor in Computer Science and Engineering with over seventeen years of academic experience and a Ph.D. completed. She is currently associated with the School of CSE at Presidency University, Bangalore, where she actively contributes to teaching, curriculum design, accreditation activities, and student mentoring. Her academic background includes a Ph.D. in Computer Science and Engineering, an M.Tech in Computer Science and Engineering with distinction, and a Bachelor’s degree in Information Science and Engineering, also with distinction. Dr. Sridevi has extensive experience delivering core and advanced courses such as Data Structures, Computer Networks, Data Mining, Web Technologies, Full Stack Development, and multiple programming languages. Her research interests span 5G and beyond wireless networks, machine learning applications, data analytics, wireless sensor networks, deep learning, and intelligent network optimization. She has published several articles in reputed Scopus-indexed journals and conferences, and her reflects an h-index of 1 with 8 published documents and approximately 2 citations. In addition to her research contributions, she has authored technical books and book chapters with leading publishers. She has been recognized as Best Faculty and has received institutional appreciation for her leadership as Cultural Coordinator. Dr. Sridevi’s career reflects a strong commitment to academic excellence, impactful research, industry-aligned teaching, and holistic student development.

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Featured Publications

DDM: Data-Driven Marketing Using AI, ML, and Big Data
N. N. Ahamed, S. Sridevi, AI-Powered Business Intelligence for Modern Organizations, IGI Global, pp. 79–102, 2025

Real-Time Interference Management in Next-Generation Wireless Systems
S. A. Abidi, D. P. P. D. Beemkumar Nagappan, S. Sridevi, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 2025 (Scopus-Q2)

Heart Arrhythmia Classification Using Machine Learning Algorithms
V. Hiremani, R. M. Devadas, A. Pasha, S. Sridevi, 2nd International Conference on Ambient Intelligence in Health Care, 2023 (Scopus)

Child Safety & Tracking Management System Using GPS, Geo-Fencing and Android Application
S. Sridevi, S. Thakur, PiCES – Perspectives in Communication, Embedded Systems and Signal Processing, 2018

Indian Classical Percussion Instrument Tabla Taal Classification Using Fast Converging CNN
A. R. Sridevi S., Swati Sharma, Clara Kanmani, Nipun Sharma, Syed Abrar Ahmed, IEEE 4th World Conference on Applied Intelligence and Computing (AIC 2025), 2025 (Scopus)

Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

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Dr. Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Mohammed Maiza is an Associate Professor of Computer Science specializing in Pattern Recognition and Artificial Intelligence, with a strong academic and research profile in intelligent systems and data-driven computing. He holds an engineering degree in Computer Science with a specialization in Artificial Intelligence, followed by a Magister and Ph.D. in Computer Science focused on Pattern Recognition and AI. His academic career includes long-standing experience as a Lecturer-Researcher at leading Algerian universities, where he has contributed extensively to teaching, research supervision, and academic leadership. His research interests span pattern recognition, machine learning, artificial intelligence, data analysis, and intelligent decision-support systems. Dr. Maiza has actively participated in international conferences, workshops, and research visits in Algeria and France, strengthening collaborative research networks. He has authored multiple peer-reviewed scientific publications indexed in international databases, with measurable scholarly impact reflected through his h-index, citation count, and documented research outputs in major indexing platforms. In addition to research, he has held several academic leadership and coordination roles, contributing to curriculum development and institutional governance. His academic contributions demonstrate a sustained commitment to advancing AI research, mentoring graduate students, and fostering innovation in computer science, positioning him as a respected researcher and educator in the field.

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Featured Publications

C. Cherif, M.K. Abdi, A. Ahmad, M. Maiza
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 2025(4), 2025 · Citations: 4

A. Ahmad, M. Bouneffa, H. Basson, C. Cherif, M.K. Abdi, M. Maiza
Enterprise Interoperability X: Enterprise Interoperability Through Connected Enterprises, 2024 · Citations: 1

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb
13th European Workshop on Visual Information Processing (EUVIP), pp. 1–6, 2025

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb-Ahmed
Informatica, 49(3), 2025

Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

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Dr. Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Chahira Cherif is an Associate Professor of Computer Science with a strong academic and research profile in higher education and software systems research. She holds a State Engineering degree in Computer Science, a Magister (Master’s) degree, and a Ph.D. in Computer Science, reflecting a solid and progressive academic foundation in computing and information technologies. Her professional experience includes service as a State Computer Science Engineer before transitioning into academia, where she has been actively engaged in teaching at both Bachelor’s and Master’s levels under the LMD system, along with supervising Master’s theses. Her research interests focus on intelligent software systems, software evolution, system security, and advanced computing methodologies, with active involvement in nationally recognized research initiatives, including the PREFU project on intelligent evolution and security of software systems. She has participated in international conferences, workshops, and scientific gatherings across Algeria and France, contributing to scholarly exchange and collaboration. Her scientific output is reflected through peer-reviewed publications indexed in international databases, with an established h-index-1 supported by multiple research documents-5 and citation-4 records. Through her combined roles as educator, researcher, and project contributor, she continues to make meaningful contributions to computer science research and academic development, strengthening innovation, knowledge dissemination, and the advancement of intelligent and secure software systems.

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Featured Publications


Predictive approach to the degree of business process change

C. Cherif, M.K. Abdi, A. Ahmad
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5


Change impact study by Bayesian networks

C. Cherif, M.K. Abdi
Modeling Approaches and Algorithms for Advanced Computer Applications, pp. 429–438, 2013 · Citations: 5


Cancer classification through the selection of genes extracted from microarray data

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 101(4), 2025 · Citations: 4


Étude de l’impact de changement dans les systèmes à objet par les réseaux bayésiens

C. Chahira, A. Mustapha Kamel
Communication Science et Technologie, 13(1), pp. 90–108, 2015 · Citations: 4


Towards a probabilistic approach for better change management in BPM systems

C. Cherif
IEEE 23rd International Enterprise Distributed Object Computing Conference, 2019 · Citations: 3

Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

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Prof. Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

King Faisal University | Saudi Arabia

Dr. Mona Abdelbaset Sadek Ali is an Associate Professor of Computer Science specializing in artificial intelligence, machine learning, and image processing. She earned her PhD in Computer Science (Wireless Computer Communications) from Cardiff University, UK, after completing an MSc in Information Technology (Image Processing) and a BSc in Information Technology with honors from Cairo University. With extensive academic experience spanning the UK, Saudi Arabia, and Egypt, her research integrates deep learning, optimization techniques, computer vision, IoT, mobile security, and intelligent healthcare systems. Dr. Ali has authored over 30 peer-reviewed research articles published in high-impact Web of Science-indexed journals and conferences, achieving an h-index of approximately 17, with more than 871 citations and 29 research documents. Her work frequently appears in Q1 and Q2 journals such as Mathematics, Electronics, Sustainability, PLOS ONE, and Applied Sciences. She has led and co-led numerous funded research projects supported by national and institutional bodies and has supervised multiple postgraduate MSc and PhD researchers. Her academic excellence has been recognized through competitive research funding and research poster awards. Overall, Dr. Ali’s career reflects sustained contributions to applied artificial intelligence and data-driven solutions with strong interdisciplinary and societal impact.

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Featured Publications


Tomato leaves diseases detection approach based on support vector machines

11th International Computer Engineering Conference (ICENCO), 246–250, 2015 · Citations: 222


Identifying two of tomatoes leaf viruses using support vector machine

Information Systems Design and Intelligent Applications, 2015 · Citations: 145


Detection of breast abnormalities of thermograms based on a new segmentation method

Federated Conference on Computer Science and Information Systems, 2015 · Citations: 78


Thermogram breast cancer prediction approach based on neutrosophic sets and fuzzy c-means algorithm

IEEE Engineering in Medicine and Biology Conference, 2015 · Citations: 76


A hybrid segmentation approach based on neutrosophic sets and modified watershed: A case of abdominal CT liver parenchyma

11th International Computer Engineering Conference (ICENCO), 2015 · Citations: 70

Sanjay Kumar Bhardwaj | Biology and Life Sciences | Research Excellence Award

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Prof. Sanjay Kumar Bhardwaj | Biology and Life Sciences | Research Excellence Award

CCS University | India

Professor Sanjay Kumar Bhardwaj is a distinguished zoologist with over 35 years of research experience, recognized for his pioneering work in photoperiodism, seasonal breeding, light color, and intensity effects in birds. Currently serving as a Professor of Zoology, he has contributed extensively to avian chronobiology and environmental physiology, with 89 research papers, multiple book articles, and proceedings. He has supervised numerous M.Phil. scholars and Ph.D. researchers, led more than 10 major research projects, and secured substantial funding from DBT, SERB, UGC, CSIR, DST, and State Government of U.P. His international exposure includes prestigious INSA Exchange Fellowships, and he has represented India at major global conferences such as the International Ornithological Congress and International Chronobiology meetings. Recognized with honors like the FAEB Fellowship, Research Excellence Award, Rashtriya Gaurav Award, and Lifetime Achievement Award, he has also organized major scientific symposia and workshops at national and international levels. His research continues to advance understanding of avian physiology, biological rhythms, cognition under light pollution, and environmental influences on animal biology.

Profile : Google Scholar

Featured Publications

Gupta, B. K., Sarkar, U. K., Bhardwaj, S. K., & Pal, A. (2011). Condition factor, length–weight and length–length relationships of an endangered fish Ompok pabda (Hamilton 1822) (Siluriformes: Siluridae) from the River Gomti. Journal of Applied Ichthyology, 27(3), 962–964.

Batra, T., Malik, I., Prabhat, A., Bhardwaj, S. K., & Kumar, V. (2020). Sleep in unnatural times: Illuminated night negatively affects sleep and associated hypothalamic gene expressions in diurnal zebra finches. Proceedings of the Royal Society B, 287(1928), 20192952.

Mishra, I., Bhardwaj, S. K., Malik, S., & Kumar, V. (2017). Concurrent hypothalamic gene expression under acute and chronic long days: Implications for initiation and maintenance of photoperiodic response in migratory songbirds. Molecular and Cellular Endocrinology, 439, 81–94.

Gupta, B. K., Sarkar, U. K., & Bhardwaj, S. K. (2012). Assessment of habitat quality with relation to fish assemblages in an impacted river of the Ganges basin, northern India. The Environmentalist, 32(1), 35–47.

Kumar, J., Malik, S., Bhardwaj, S. K., & Rani, S. (n.d.). Bright light at night alters the perception of daylength in Indian weaver bird (Ploceus philippinus). Journal of Experimental Zoology Part A: Ecological and Integrative… (details incomplete—please share year, volume, pages for full APA format).

Teresa Dieguez | Social Sciences | Excellence in Research Award

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Prof. Teresa Dieguez | Social Sciences | Excellence in Research Award

Universidade Portucalense | Portugal

Teresa Dieguez is a distinguished academic and researcher at the Polytechnic Institute of Cávado and Ave (IPCA), Portugal, specializing in strategy, entrepreneurship, innovation, and management.  she has contributed extensively to advancing knowledge in managerial sciences and sustainable development. She holds a degree in Economics, a Master’s in Innovation and Technological Transfer, a Specialist title in Strategy and Entrepreneurship , an MBA in Social Sustainability and Development, and is currently pursuing her PhD in Managerial Sciences. Teresa’s professional journey began in the automotive sector, where she led international projects promoting innovation and competitiveness, including initiatives under the EU’s ESPRIT and RECITE programs. Her current research interests include digital transformation, social entrepreneurship, Industry 4.0, sustainable leadership, and innovation ecosystems. As a professor and project leader, she has mentored over 30 master’s theses and collaborated with research centers such as INESC TEC, CiTUR, and REMIT. A recipient of various academic recognitions, Teresa remains committed to fostering creativity, critical thinking, and entrepreneurial mindsets to drive sustainable change and global competitiveness in education and industry.

Profiles : Google Scholar | Orcid

Featured Publications

Sivam, A., Dieguez, T., Ferreira, L. P., & Silva, F. J. G. (2019). Key settings for successful open innovation arena. Journal of Computational Design and Engineering, 6(4), 507–515.

Mourato, J., Ferreira, L. P., Sá, J. C., Silva, F. J. G., Dieguez, T., & Tjahjono, B. (2021). Improving internal logistics of a bus manufacturing using the lean techniques. International Journal of Productivity and Performance Management, 70(7).

Dieguez, T., Ferreira, L. P., Silva, F. J. G., & Tjahjono, B. (2020). Open innovation and sustainable development through industry-academia collaboration: A case study of automotive sector. Procedia Manufacturing, 51, 1773–1778.

Alves, D., Dieguez, T., & Conceição, O. (2019). Retaining talents: Impact on innovation. In Proceedings of the ECMLG 2019 15th European Conference on Management, Leadership and Governance (p. 36).

Dieguez, T., Loureiro, P., & Ferreira, I. (2021). Entrepreneurship and leadership in higher education to develop the needed 21st century skills. In Proceedings of the ECMLG 2021 17th European Conference on Management, Leadership and Governance.

Samwel Mwigeka | Social Sciences | Best Researcher Award

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Mr. Samwel Mwigeka | Social Sciences | Best Researcher Award

Ruaha Catholic University | Tanzania

Samwel Mwigeka is a Tanzanian academic and researcher specialising in public finance, macroeconomics and econometrics. After completing a B.A. in Economics & Geography at the University of Dar es Salaam and an M.A. in Economics at the same institution, he pursued doctoral studies at Henan University in China. He began his professional career in secondary education before joining Ruaha Catholic University as an Assistant Lecturer in, where he continues to teach and mentor students. His published work examines key issues in Tanzanian economy such as budget deficits and inflation, the crowding–out effect of deficits on private investment  and determinants of foreign direct investment (International Journal of Management and Economics Invention), as well as pricing dynamics in the sharing-economy (Airbnb listings, International Business & Economics Studies). His research interest lies at the intersection of fiscal policy, investment flows and macro-economic stability in developing countries. Although his bibliometric profile presently lists an h-index of 1 and citation count of 15 according to an academic-indexing source, he is actively establishing his scholarly trajectory. He is motivated to advance the quality and impact of research and contribute to policy-relevant economic development in Tanzania and beyond.

Profile : Google Scholar

Featured Publications

Mwigeka, S. (2012). The budget deficit and inflation in Tanzania: A causal relationship (Unpublished master’s dissertation). University of Dar es Salaam, Tanzania.

Mwigeka, S. (2016). Do budget deficit crowd out private investment? A case of the Tanzanian economy. International Journal of Business and Management, 11(6), 183–190.

Mwigeka, S. (2020). Determinants of foreign direct investment in Tanzania: An autoregressive distributed lag approach. International Journal of Management and Economics Invention, 6(5).

Mwigeka, S. (2022). What factors drive the Airbnb listing’s prices? International Business & Economics Studies, 4(1), 26–35.

Nepoleon Prabakaran | Cognitive Science | Best Researcher Award

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Mr. Nepoleon Prabakaran | Cognitive Science | Best Researcher Award

Alliance Ascent College, Alliance University | India

Dr. Nepoleon M. P. is a dynamic and committed academic leader, currently serving as Assistant Professor of Management at the Centre for Management Studies, Jain University, Bengaluru.  His research interests span metaverse-based learning, digital literacy, job-crafting and flourishing at work, leadership styles and consumer behaviour. He has been honoured with multiple Best Researcher Awards at international conferences and has published in journals such as Frontiers in Education, Review of Education and Central European Management Journal. The convergence of technology, human behaviour and organisational processes forms the core of his inquiry, and he continues to drive impactful scholarship while guiding students and engaging in academic service. With this trajectory, he aims to contribute meaningfully to both theory and practice in management and educational transformation.

Profiles : Google Scholar | Orcid

Featured Publications

Kareem, J., Patrick, H. A., Prabakaran, N., Tantia, V., M. P. M., P. K., & Mukherjee, U. (2023). Transformational educational leaders inspire school educators’ commitment. Frontiers in Education, 8, 1171513.

Ahamed, A. A., Patrick, H. A., Kareem, J., Mukherjee, U., & Nepoleon, M. P. (2023). Organisational justice, job performance and work engagement: The mediating role of perceived supervisory support. Review of Education, 11(1), e3390.

Kareem, J., Patrick, H. A., & Prabakaran, N. (2024). Exploring the factors of learning organization in school education: The role of leadership styles, personal commitment, and organizational culture. Central European Management Journal.

Prabakaran, N., & Patrick, H. A. (2024). Global regionalization of consumer neuroscience behavioral qualities on insights from Google Trends. In Explainable AI Applications for Human Behavior Analysis (pp. 258–274). IGI Global.

Prabakaran, N., Patrick, H. A., & Kareem, J. (2025). Enhancing English language proficiency and digital literacy through metaverse-based learning: A mixed-methods study in higher education. Journal of Information Technology Education: Research, 24, 010.

Saeed Esmailnia | Humanities and Science Integration | Best Researcher Award

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Prof. Saeed Esmailnia | Humanities and Science Integration | Best Researcher Award

University of Science and Research | Iran

Dr. Saeed Esmailnia Meidani is an accomplished academic and researcher specializing in educational psychology, sociology, and psychometrics. With multiple degrees, including a Ph.D. in Educational Psychology from Azad University, Tehran, and ongoing doctoral research in Psychometrics at Saveh University, he has developed expertise across education, psychology, sociology, and demography. His academic journey also includes MAs in Educational Psychology, TOEFL, Sociology, and Demography, reflecting a multidisciplinary foundation. Professionally, Dr. Esmailnia has lectured at several universities such as Sari University, Payam Noor Qa’emshahr University, Farvardin University, and Chabahar Maritime University, where he also served as an educational counselor. His research focuses on ethical decision-making, intelligence, creativity, spiritual intelligence, problem-solving, and the sociology of behavior. He has contributed articles to Q1 and Q2 journals including Quality & Quantity, Acta Polytechnica Hungarica, and New Ideas in Psychology.  His scholarly achievements demonstrate a strong commitment to advancing interdisciplinary knowledge in education, psychology, and sociology. He aspires to further expand his research impact, contributing innovative approaches to human development, ethics, and learning.

Profile : Google Scholar

Featured Publications

Papaleontiou–Louca, E., Esmailnia, S., & Thoma, N. (2022). A critical review of Maslow’s theory of spirituality. Journal of Spirituality in Mental Health, 24(4), 327–343.

Papaleontiou–Louca, E., Esmailnia, S., & Thoma, N. (2023). Spirituality of the developing person according to Maslow. New Ideas in Psychology, 69, 100994.

Nagy-Kondor, R., & Esmailnia, S. (2022). Development of spatial ability extra tasks (SAET): Problem solving with spatial intelligence. Quality & Quantity, 56(5), 3751–3768.

Nagy-Kondor, R., & Esmailnia, S. (2021). Polyhedrons vs. curved surfaces with mental cutting: Impact of spatial ability. Acta Polytechnica Hungarica, 18(6), 71–83.

Beikian, A., & Esmailnia, S. (n.d.). Effectiveness of data-driven learning in reducing phrasal verb-related errors among intermediate English as a foreign language learners. Iranian Journal of English for Academic Purposes (IJEAP).