Bilal Khan | Engineering and Technology | Research Excellence Award

Dr. Bilal Khan | Engineering and Technology | Research Excellence Award

Department of Computer Science, University of Engineering and Technology, Mardan | Pakistan

Dr. Bilal Khan is a research‑driven academic with a Ph.D. in Computer Software Engineering and more than 15 years of university‑level teaching and research experience across leading higher‑education institutions in Pakistan, including University of Engineering & Technology, Mardan; City University of Science and Information Technology, Peshawar; Northern University, Nowshera; University of Swabi; and National Institute of Technology, Akora Khattak. His scholarly work focuses on Machine Learning, Data Science, Natural Language Processing, Healthcare & Bioinformatics Analytics, and Software Engineering, where he has authored a substantial portfolio of international journal publications indexed in venues such as IEEE Access and Journal of Healthcare Engineering. Dr. Khan has played key roles in curriculum development, postgraduate supervision, and academic coordination, and serves as a reviewer for high‑impact journals including IEEE Access, ACM Transactions on Healthcare, and Artificial Intelligence. His interdisciplinary work bridges theory and practice, and he remains actively engaged in collaborative research, external grant pursuits, and innovative solutions addressing real‑world challenges.

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Featured Publications

An empirical evaluation of machine learning techniques for chronic kidney disease prophecy
Khan, B., Naseem, R., Muhammad, F., Abbas, G., Kim, S., 2020.

Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques
Khan, B., Naseem, R., Shah, M.A., Wakil, K., Khan, A., Uddin, M.I., Mahmoud, M., Journal of Healthcare Engineering, 2021.

An Overview of ETL Techniques, Tools, Processes and Evaluations in Data Warehousing
Khan, B., Jan, S., Khan, W., Chughtai, M.I., Journal on Big Data, 6, 2024.

Performance assessment of classification algorithms on early detection of liver syndrome
Naseem, R., Khan, B., Shah, M.A., et al., Journal of Healthcare Engineering, 2020.

Exploring the landscape of automatic text summarization: a comprehensive survey
Khan, B., Shah, Z.A., Usman, M., Khan, I., Niazi, B., IEEE Access, 11,  2023.

Maria Oliveri | Engineering and Technology | Excellence in Research Award

Dr. Maria Oliveri | Engineering and Technology | Excellence in Research Award

Purdue University | United States

Maria Elena Oliveri, PhD, is a Research Associate Professor in the College of Engineering at Purdue University and an internationally recognized scholar in measurement, evaluation, and evidence-based assessment. She earned her PhD and multiple graduate degrees from the University of British Columbia, where she developed deep expertise in research methodology, educational measurement, and applied evaluation. Her academic and professional career spans leading research-intensive roles at Purdue University, the Buros Testing Center at the University of Nebraska–Lincoln, and Educational Testing Service, where she contributed to large-scale workforce, higher education, and K–12 assessment initiatives. Her scholarship focuses on competency modeling, assessment design and validation, learning analytics, and the alignment of education with emerging fields such as semiconductors, artificial intelligence, quantum technologies, and advanced communication systems. She has led and managed multimillion-dollar funded projects, authored and reviewed high-impact research outputs, and is widely recognized for translating complex assessment data into actionable insights for policy, curriculum, and workforce development.  She has received professional recognition for excellence in research leadership, assessment innovation, and service, and continues to shape the future of engineering education through interdisciplinary research, faculty development, and global partnerships.

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Featured Publications

Investigation of Model Fit and Score Scale Comparability in International Assessments
M. E. Oliveri, M. von Davier. Psychological Test and Assessment Modeling, 53(3), 315, 2011. (Citations: 163)

Disrupting White Supremacy in Assessment: Toward a Justice-Oriented, Antiracist Validity Framework
J. Randall, D. Slomp, M. Poe, E. Oliveri. Twin Pandemics, pp. 78–86, 2023. (Citations: 139)

In Search of Validity Evidence in Support of the Interpretation and Use of Assessments of Complex Constructs
K. Ercikan, M. E. Oliveri. Applied Measurement in Education, 29(4), 310–318, 2016. (Citations: 107)

Toward Increasing Fairness in Score Scale Calibrations Employed in International Large-Scale Assessments
M. E. Oliveri, M. von Davier. International Journal of Testing, 14(1), 1–21, 2014. (Citations: 89)
A Literature Review on Collaborative Problem Solving for College and Workforce Readiness
M. E. Oliveri, R. Lawless, H. Molloy. ETS Research Report Series, 2017(1), 1–27, 2017. (Citations: 83)

Sridevi S | Engineering and Technology | Best Researcher Award

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

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

Job Allan Wefwafwa | Social Sciences | Best Researcher Award

Dr. Job Allan Wefwafwa | Social Sciences | Best Researcher Award

The Technical University of Kenya | Kenya

Dr. Job Allan Wefwafwa is a scholar in Communications and Media Studies whose work examines digital media useespecially WhatsApp and social mediz in African electoral politics, with a focus on indigenous communication, social justice, and Afrocentric approaches. He holds a PhD in Media Studies from the University of the Witwatersrand, an MA in Communication Studies from the University of Nairobi, and a BA in Mass Communication from Makerere University. Professionally, he has taught and done research at institutions including the Technical University of Kenya, the Kenya Institute of Mass Communication, Mt. Kenya University, and Wits University, and he has experience designing curricula, supervising MA and PhD students, and innovating in pedagogy and digital ethnographic methods. His current research interests include digital deliberation, techno-affective politics, vernacular and indigenous media, disinformation, gendered intimidation in social media, media and democracy in Africa. According to AD Scientific Index, his profile includes metrics such as total h-index and citation and document counts, which reflect his scholarly output and influence. He has received grants and fellowships (e.g. Social Science Research Council, Open Society Foundation, NextGen Social Sciences in Africa, Mellon Foundation) and convenes and presents in international conferences. His work has been published in peer-reviewed journals and in edited volumes, and he is engaged in academic service, including examining, workshops, and collaborative research. In sum, he is an established researcher whose work bridges theory and practice in digital media in African electoral contexts, and he continues to expand knowledge in inclusive, indigenous, and justice-oriented directions.

Profile : Google Scholar

Featured Publications

Wefwafwa, J. A. (2014). An evaluation of training standards in Kenyan media colleges: A case study of public and private middle level media training colleges in Nairobi. IOSR Journal of Humanities and Social Science (IOSR-JHSS), 19(2), 68–83.

Wefwafwa, J. A. (2014). Indigenous communication systems versus modern communication systems: A case study of the Bukusu Subtribe of Western Kenya. Global Media Journal – African Edition, 8(2), 301–317.

Wefwafwa, J. A., Wekesa, B., & Gagliardone, I. (2025). Tensions, confrontations, and consensus: WhatsApp use in Kenyan electoral politics. Social Media + Society, 11(1),

Wefwafwa, J. A. (2025). TV portrayal and people’s perceptions on indigenous environmental conservation in Kenya. African Journalism Studies, 1–19.

Wefwafwa, J. A. (2025). Vulgarities, vulnerabilities, and vengeance: Gendered intimidation and WhatsApp use in electoral politics in Kenya. Global Studies Quarterly, 5(3), ksaf065.

Marwa Hassan | Molecular Biology | Best Researcher Award

Assist. Prof. Dr. Marwa Hassan | Molecular Biology | Best Researcher Award

Theodor Bilharz Research Institute | Egypt

Marwa Hassan is an immunologist with substantive contributions in stem cell biology, molecular immunology, and translational research. She also holds a Postgraduate Diploma in Healthcare & Hospital Management (American University in Cairo, 2020). Over her career she has held roles from resident researcher to acting head of department at the Immunology Division of TBRI, and has organized and led numerous specialized training courses (e.g. stem cell culture, molecular immunology, ELISA). Her research interests include non-coding RNAs, stem cell differentiation, immune regulation in liver disease, and biomarker development. She has published in peer-reviewed journals (e.g. on circulating liver cancer stem cells) and contributed to capacity building via workshops and academic leadership. Her awards and recognitions reflect her dual strengths in research and academic service. In sum, Dr. Hassan combines rigorous scientific inquiry with institutional leadership, advancing immunology and regenerative medicine in Egypt and beyond.

Profile : Orcid

Featured Publications

Ahmed, M. H. M., & Abdel Hamid, H. M. (2022). Circulating liver cancer stem cells: Clinical implications and future perspectives. World Journal of Gastroenterology, 28(1), 39–52

Ahmed, M. H. M., El Refai, S., & El-Shenawy, R. (2021). MicroRNA-based biomarkers in hepatitis C virus-induced hepatocellular carcinoma. Egyptian Journal of Immunology, 28(2), 75–90.

Ahmed, M. H. M., Hussein, M., & El Sayed, A. (2020). Impact of mesenchymal stem cell passaging on proliferation and differentiation potential. Theodor Bilharz Medical Journal, 18(4), 201–210.

Ahmed, M. H. M., Ibrahim, N., & Khalifa, M. (2019). Role of regulatory T-cells in autoimmune liver diseases: An immunopathological study. Journal of Clinical and Experimental Hepatology, 9(3), 355–362.

Ahmed, M. H. M., & El Demerdash, R. (2017). Gene expression profiling of umbilical cord blood-derived mesenchymal stem cells under oxidative stress. Stem Cell Research & Therapy, 8(1), 112.

Vivek Talnika | Engineering and Technology | Best Researcher Award

Dr. Vivek Talnika | Engineering and Technology | Best Researcher Award

Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra | India

Dr. Vivek D. Talnikar is a chemical engineer and academic whose research spans reactive separations, esterification kinetics, acid recovery, and wastewater treatment. According to his Google Scholar profile, he has an h-index of 4 and over 69 citations . He earned his PhD (2016) from Dr. Babasaheb Ambedkar Technological University on esterification reactions and process intensification. His earlier degrees include an MTech in Chemical Engineering (2000, HBTI Kanpur) and BE in Chemical Engineering (1996, Pune University). Over 23 years in academia and one year in industry, he has taught undergraduate and postgraduate courses, supervised research, and worked in process development roles. His publications include studies on recovery of acids from dilute streams, reactive distillation, and use of natural coagulants in wastewater treatment, published in reputable journals including Chemical Engineering Communications . He has presented in national and international conferences and contributed to curriculum revision, organizing workshops and webinars on chemical engineering topics. His research interests lie in sustainable separation processes, process intensification, reaction-separation integration, and environmental remediation. Through his work, he aims to bridge fundamental kinetics and practical process design.

Profile : Google Scholar 

Featured Publications

Talnikar, V. D., & Mahajan, Y. S. (2014). Recovery of acids from dilute streams: A review of process technologies. Korean Journal of Chemical Engineering, 31(10), 1720–1731.

Talnikar, V. D., Deorukhkar, O. A., Katariya, A., & Mahajan, Y. S. (2018). Intensification of the production of 2-ethyl-hexyl acrylate: Batch kinetics and reactive distillation. International Journal of Chemical Reactor Engineering, 16(7).

Talnikar, V. D., Deorukhkar, O. A., Katariya, A., & Mahajan, Y. S. (2017). Value-added esterification for the recovery of trifluoroacetic acid: Batch kinetics and reactive distillation studies. Chemical Engineering Communications, 204(3), 356–364.

Talnikar, V. D., Pant, K. K., & Shukla, N. P. (2004). A field study and continuous removal of fluoride in a packed column. Journal of Environmental Science & Engineering, 46(4), 289–292.

Talnikar, V. D. (n.d.). An open review on air pollution monitoring systems.