Temesgen Abebaw Wonda | Management and Accounting | Editorial Board Member

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Mr. Temesgen Abebaw Wonda | Management and Accounting | Editorial Board Member

Woldia University | Ethiopia

Temesgen Abebaw Wonda is a dedicated lecturer, researcher, and trainer in the Department of Management at Woldia University, Ethiopia. With over six years of progressive academic and research experience across Ethiopian universities, he has established himself as a dynamic professional committed to excellence in teaching, research, and community service. His academic journey reflects a deep passion for advancing knowledge in management sciences, with a focus on developing innovative, practical solutions to organizational and societal challenges. Temesgen’s professional philosophy—“Transforming Insights into Impact: Leading Innovation Through Knowledge”—captures his drive to bridge theory with real-world practice. He holds a Master’s Degree in Business Administration from Wolaita Sodo University (2018) with a CGPA of 3.7/4.0, and a Bachelor of Arts Degree in Management from Addis Ababa University (2016) with a CGPA of 3.17/4.0. His postgraduate thesis, titled “The Impact of Corporate Social Responsibility on Community Development: A Study on Wolaita Sodo University,” explored how educational institutions contribute to social progress through CSR initiatives. Employing a quantitative and explanatory research approach, he demonstrated how CSR efforts in security, health, education, and environmental protection foster sustainable community growth. The work received a Very Good (A-) grade and reflects his enduring interest in sustainability and responsible management. Temesgen’s research interests encompass entrepreneurship, strategic management, human resource management, organizational behavior, technology and innovation management, business ethics, and corporate governance. He also explores contemporary themes such as digitalization, sustainability, and international business, highlighting his forward-thinking approach to addressing emerging global challenges. His commitment to lifelong learning is evident in his participation in numerous professional development programs. These include the Higher Diploma Program at Woldia University (2023), Employability Skill and Job Readiness Training of Trainers (ToT) with Mastercard Foundation (2024), and Master Class for Teaching Online from Arizona State University (2023). He also completed Entrepreneurship 3: Growth Strategies from the Wharton School, University of Pennsylvania, and earned certifications from Elsevier Researcher Academy and Web of Science Academy, underscoring his proficiency in academic publishing and peer review. Beyond academics, Temesgen actively contributes to capacity building, mentorship, and curriculum development, playing a vital role in shaping future business leaders. His scholarly discipline, global outlook, and dedication to sustainable development make him a promising academic leader poised to drive impactful research and innovation within and beyond Ethiopia.

Profiles: Orcid | Google Scholar

Featured Publications

Muzeyin, J. R., Ahmed, H. M. S., Awoke, Y., Ferejo, M. N., Abebaw, T., Beyene, T. Y., … (2022). Exploring determinants of employee engagement in the emerging market [Special issue]. Corporate & Business Strategy Review, 3(2), 238–247.

Wonda, T. A. (2024). Examination of organizational citizenship behavior influence on employee performance attainment: An empirical investigation. Cogent Business & Management, 11(1), 2418422.

Wonda, T. A. (2024). Does emotional intelligence have a contribution to employee performance enhancement? Empirical evidence from the public sectors. Cogent Business & Management, 11(1), 2415525.

Wonda, T. A., Engidaw, A. E., Ning, J., Kebad, M. A., & Belay, N. A. (2024). Does psychological contract fulfilment determine employees’ work engagement? Empirical evidence from government sector employees. Cogent Business & Management, 11(1), 2402504.

Elifneh, Y. W., Wonda, T. A., & Abbay, Y. A. (2024). Marketing ethics in the wholesale and retail sector: Empirical evidence from Ethiopia (a qualitative inquiry). Cogent Business & Management, 11(1), 2373353.

Elifneh, Y. W., Wonda, T. A., & Abbay, Y. A. (2024). University social responsibility in times of crisis (COVID-19): Lessons from public universities of an underdeveloped country. Cogent Business & Management, 11(1), 2418419.

Engidaw, A. E., Ning, J., Kebad, M. A., Mulaw, S. G., Alamirew, M. T., Wonda, T. A., … (2024). Determining the push factors to involve in street vending activities and their challenges: In the case of Ethiopia. Journal of Innovation and Entrepreneurship, 13(1), 42.

Elifneh, Y. W., Wonda, T. A., & Abbay, Y. A. (2025). Work-life balance among university academic leaders in a developing country context: Empirical evidence from Ethiopia. SAGE Open, 15(3), 21582440251366875.

Nighil Nath MP | Chemistry and Materials Science | Editorial Board Member

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Dr. Nighil Nath MP | Chemistry and Materials Science | Editorial Board Member

University of Calicut | India

Dr. Nighil Nath M. P. is a dedicated physicist and educator whose research focuses on condensed matter theory, materials science, glass-forming systems, plastic crystals, low-temperature physics, and broadband dielectric spectroscopy. With a strong foundation in both theoretical and experimental physics, he has significantly contributed to understanding the thermal and dielectric behaviors of orientationally disordered systems. His investigations using advanced techniques such as Differential Scanning Calorimetry (DSC) and temperature-controlled X-Ray Diffraction (X-RD) have shed light on the structural and phase transition dynamics of complex molecular materials. Dr. Nath earned his Ph.D. in Physics from the University of Calicut, Kerala, in 2022, where his thesis, “Thermal and Spectroscopic Investigations on Some Plastic Crystals,” provided deep insights into the thermal and dielectric relaxation mechanisms in molecular solids. His academic journey began with a B.Sc. in Physics from Zamorin’s Guruvayurappan College (2008) and an M.Sc. in Physics from CMS College, Kottayam (2012). Over the years, he has demonstrated a strong passion for advancing material characterization techniques and understanding the microscopic processes governing physical properties of crystalline and amorphous materials. Dr. Nath’s publication record reflects his rigorous approach to scientific inquiry. His works have appeared in prestigious journals such as Journal of Physics and Chemistry of Solids, Indian Journal of Physics, Journal of Molecular Liquids, and Materials Today Proceedings. Among his notable contributions are studies on tetrahedrally coordinated organic plastic crystals, phase transition dynamics in cyclohexene oxide, and dielectric relaxation in ionic liquids. These papers not only enrich the literature on material science but also open new pathways for the application of plastic crystals and related compounds in energy storage and optoelectronic devices. Beyond research, Dr. Nath is an accomplished academic mentor, having guided over 50 M.Sc. students in various experimental and theoretical projects between 2014 and 2020. Currently serving as a High School Assistant (Physical Science) at the Government Higher Secondary School, Kakkodi, Kozhikode, Kerala, since December 2022, he continues to inspire young minds with his deep scientific insight and enthusiasm for discovery. His career reflects a harmonious blend of scientific innovation, academic excellence, and educational commitment, establishing him as a promising researcher and educator in the field of condensed matter and material physics.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Kottummal, T. K., Pilathottathil, S., Thayyil, M. S., Perumal, P. M., Sreekala, K. K. N., & Nighil Nath, M. P. (2018). Dielectric relaxation and electrochemical studies on trihexyl tetradecyl phosphonium chloride ionic liquid. Journal of Molecular Liquids, 252, 488–494.

Nighil Nath, M. P., & Sulaiman, M. K., & Thayyil, M. S. (2019). Thermal and dielectric spectroscopic investigation on orientationally disordered crystal—Cyclobutanol. Materials Today: Proceedings, 18, 1620–1626.

Manal Poovingal, N. N., Thayyil, M. S., Afzal, A., & Govindaraj, G. (2022). Thermal and dielectric studies on orientationally disordered crystal: Cyclobutanol. Indian Journal of Physics, 96(7), 1991–1999.

Afzal, A., Thayyil, M. S., Mohamed, M. N. S., Nighil Nath, M. P., & others. (2025). Broadband dielectric spectroscopic studies of acemetacin, colchicine and bezafibrate during quench cooling, and in supercooled liquid phase by dielectric modulus formalism. Indian Journal of Physics, 1–11.

Nath, M. P. N., Thayyil, M. S., & Afzal, A. (2025). Phase transition dynamics and dielectric relaxations in orientationally disordered crystal: A study of cyclohexene oxide. Journal of Physics and Chemistry of Solids, 207, 112839.

Nath, M. P. N., Thayyil, M. S., & Afzal, A. (2025). Thermal and dielectric spectroscopic investigations on tetrahedrally coordinated organic plastic crystals: Aminomethylpropanediol and pentaglycerol. Journal of Physics and Chemistry of Solids, 113019.

Medhat Elshahat | Genetics and Genomics | Editorial Board Member

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Mr. Medhat Elshahat | Genetics and Genomics | Editorial Board Member

Bari University | Italy

Mr. Medhat Saleh is an accomplished researcher and academic specializing in Poultry Breeding and Genetics, currently pursuing his Ph.D. at the Department of Veterinary Medicine, University of Bari “Aldo Moro”, Italy. He also serves as an Assistant Lecturer of Poultry Breeding and Genetics at the Faculty of Agriculture, Benha University, Egypt. His professional journey reflects a consistent commitment to advancing the fields of quantitative genetics, genomics, animal breeding, and bioinformatics, with a particular emphasis on understanding the genetic architecture of complex traits and genomic diversity in livestock species. Mr. Saleh obtained his B.Sc. in Agricultural Science (Animal Production) in 2015 and an M.Sc. in Agricultural Biotechnology in 2019 through a collaborative program between Benha University and the TEMPUS European Union Project. His academic excellence earned him a Ph.D. scholarship at the University of Bari in 2021, where his research focuses on genome-wide association studies (GWAS) and the identification of SNPs and functional genes linked to economically significant traits in poultry. His recent visiting research experience at Wageningen University, the Netherlands (2023–2024), further expanded his expertise in animal breeding and genomics. Throughout his career, Mr. Saleh has actively participated in international conferences and workshops across Italy, Germany, Egypt, and the Netherlands, contributing to scientific discussions on genomic selection, precision livestock farming, and sustainable animal production. His publication record includes numerous peer-reviewed articles in high-impact journals such as British Poultry Science, Livestock Science, and Poultry Science Journal, covering topics like molecular genetics, bioinformatics analyses, and crossbreeding impacts on immunity and growth traits in chickens. Technically proficient, he is skilled in molecular and bioinformatics techniques, including DNA/RNA extraction, PCR, and advanced data analysis using Plink, R, SAS, BLUPF90, and GENALEX. His collaborative research efforts with international scientists underscore his analytical and problem-solving abilities. Mr. Saleh’s professional strengths also encompass strategic planning, critical thinking, teamwork, and communication, enabling him to contribute effectively to academic and applied research environments. With a strong dedication to scientific advancement and sustainable genetic improvement in poultry, Mr. Saleh aims to bridge genomic innovation and animal production for future generations. His growing global research profile positions him as a promising young scientist contributing significantly to the fields of animal genetics, breeding, and biotechnology.

Profiles: Orcid | Google Scholar

Featured Publications

Galgano, M., Pellegrini, F., Fracchiolla, G., Mrenoshki, D., Zarea, A. A. K., Bianco, A., Del Sambro, L., Capozzi, L., Schiavone, A., & Saleh, M. S. (2023). Pilot study on the action of Thymus vulgaris essential oil in treating the most common bacterial contaminants and Salmonella enterica subsp. enterica serovar Derby in poultry litter. Antibiotics, 12(3), 436.

Saleh, M. S., Iraqi, M. M., Khalil, M. H., & Camarda, A. (2020). Crossbreeding analyses and polymorphic associations of gallinacin genes with growth traits in chickens. Livestock Science, 240, 104118.

Saleh, M. S. (2019). Using bioinformatics SNP to improve immune genetic response against some pathogens in poultry. [Master’s thesis, Benha University, in cooperation with TEMPUS European Union Program].

Saleh, M. S., Khalil, M. H., Iraqi, M. M., & Camarda, A. (2021). Polymorphic characterization of gallinacin candidate genes and their molecular associations with growth and immunity traits in chickens. British Poultry Science, 62(2), 180–187.

Pugliese, N., Tinelli, A., Crescenzo, G., Nieddu, M., Baralla, E., Schiavone, A., Zizzo, N., Samarelli, R., Dessì, F., Circella, E., & Saleh, M. S. (2024). Poisoning by Nerium oleander L. in Franconia geese. Animals, 14(4), 612.

Saleh, M. S., Khalil, M. H., Iraqi, M. M., & Camarda, A. (2021). Molecular associations of gallinacin genes with immune response against Salmonella typhimurium in chickens. Livestock Science, 244, 104315.

Saleh, M. S., Landi, V., Derks, M. F. L., Centoducati, G., Groenen, M. A. M., De Palo, P., Ciani, E., Pugliese, N., Circella, E., & Camarda, A. (2025). Genome-wide analyses of genomic diversity, population structure and selection signatures in Italian turkey populations. Poultry Science, 104(1), 104543.

Shimelash Molla Kassaye | Environmental Science | Editorial Board Member

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Dr. Shimelash Molla Kassaye | Environmental Science | Editorial Board Member

Mattu University | Ethiopia

Dr. Shimelash Molla Kassaye is a highly dedicated scholar and researcher specializing in Hydrology and Water Resources Management, with an extensive academic background and a strong record of scientific contributions in the field of environmental and water sciences. He currently serves as an Assistant Professor at Mattu University, Ethiopia, where he continues to advance research and teaching in hydrology, climate change, and watershed management. His professional journey reflects consistent excellence and commitment to solving pressing environmental and water-related challenges affecting the African continent. Dr. Kassaye earned his Ph.D. in Water Management (Hydrology and Water Resources Management) from the African Centre of Excellence in Water Management (ACEWM) at Addis Ababa University in 2024. His doctoral research, titled “Evaluating the Hydrological Dynamics under Land Use/Cover and Climate Change in the Baro River Basin, Ethiopia,” focused on understanding the complex interactions between climate variability, land use change, and hydrological responses in one of Ethiopia’s key river basins. His research offers vital insights into sustainable water resource management and policy planning under changing climatic conditions. Prior to his Ph.D., he obtained an M.Sc. in Hydraulic Engineering from Jimma University in 2017 with an outstanding CGPA of 3.88/4.00 and a B.Sc. in Hydraulic and Water Resources Engineering from Arbaminch University in 2011. His professional experience spans over a decade of teaching, research, and academic service. Before assuming his current position, Dr. Kassaye worked as a Researcher and Lecturer at Mattu University (2014–2021) and as a Graduate Assistant at Arbaminch University (2012–2014). Through these roles, he has contributed significantly to the training of young engineers and scientists, supervising research projects, and integrating innovative technologies into water resource education and management practices. Dr. Kassaye’s research expertise covers a broad range of topics, including hydrologic modeling, climate change and variability, drought monitoring and prediction, integrated watershed management, natural resource management, and hydrometeorological risk assessment. His multidisciplinary approach, combining remote sensing, geospatial analysis, and hydrological modeling, enables comprehensive assessments of environmental systems under stress from both natural and anthropogenic factors. He has published multiple peer-reviewed scientific papers in high-impact international journals such as Water, Environmental Earth Sciences, Environmental Systems Research, and Earth. His publications have explored critical themes such as the sensitivity of meteorological dynamics to catchment variability, the integrated impact of land use and topography on hydrological extremes, and the quantification of climate change effects on streamflow dynamics. His academic excellence, combined with practical expertise and a strong publication record, positions him as a leading early-career researcher contributing to Ethiopia’s and Africa’s sustainable water resource management efforts. His dedication to advancing hydrological science underscores his commitment to building climate resilience and fostering sustainable development in vulnerable regions.

Profiles: Orcid | Google Scholar

Featured Publications

Kassaye, S. M., Tadesse, T., Tegegne, G., & Hordofa, A. T. (2024). Quantifying the climate change impacts on the magnitude and timing of hydrological extremes in the Baro River Basin, Ethiopia. Environmental Systems Research, 13(1), 1–15.

Belay, H., Melesse, A. M., Tegegne, G., & Kassaye, S. M. (2025). Flood inundation mapping using the Google Earth Engine and HEC-RAS under land use/land cover and climate changes in the Gumara Watershed, Upper Blue Nile Basin, Ethiopia. Remote Sensing, 17(7), 1283.

Malede, D. A., Elumalai, V., Andualem, T. G., Mekonnen, Y. G., Yibeltal, M., Kassaye, S. M., & others. (2025). Understanding flood and drought extremes under a changing climate in the Blue Nile Basin: A review. Environmental and Sustainability Indicators, 100638.

Kassaye, S. M., Tadesse, T., & Tegegne, G. (2024). Quantifying the climate change impacts on the magnitude and timing of hydrological extremes in the Baro River Basin, Ethiopia. Environmental Systems Research, 13(2).

Kassaye, S. M., Tadesse, T., Tegegne, G., Hordofa, A. T., & Malede, D. A. (2024). Relative and combined impacts of climate and land use/cover change for the streamflow variability in the Baro River Basin (BRB). Earth, 5(2), 149–168.

Kassaye, S. M., Tadesse, T., Tegegne, G., & Tadesse, K. E. (2022). The sensitivity of meteorological dynamics to the variability in catchment characteristics. Water, 14(22), 3776.

Kassaye, S. M., Tadesse, T., Tegegne, G., & Hordofa, A. T. (2024). Integrated impact of land use/cover and topography on hydrological extremes in the Baro River Basin. Environmental Earth Sciences, 83(2), 49.

Kassaye, S. M., Ebissa, T. N., Gutema, B. G., & Gurmesa, G. T. (2020). Site selection and design of mini hydropower plant for rural electrification in Keber River. American Journal of Electrical Power and Energy Systems, 9(5), 82–96.

Ebissa, T. N., Kassaye, S. M., & Malede, D. A. (2024). Hydrological response to climate change in Baro Basin, Ethiopia, using representative concentration pathway scenarios. Environmental Systems Research, 13(1), 42.

Waheed, A., Kousar, S., Khan, M. I., & Fischer, T. B. (2025). Environmental and Sustainability Indicators. Environmental and Sustainability Indicators.

Sumit Swain | Nanotechnology | Excellence in Research Award

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Assist. Prof. Dr. Sumit Swain | Nanotechnology | Excellence in Research Award

Dayanandasagar College of Engineering | India

Dr. Sumit Swain is an emerging researcher in the field of Fractional-Order Circuits and Systems, with a specialized focus on modeling, design, experimentation, and implementation of fractional-order elements. His research spans across interdisciplinary areas including analog signal processing, bioimpedance analysis, wireless power transfer systems, biomedical instrumentation, and sensor design. He has been actively engaged in both theoretical and experimental studies on fractional inductors and capacitors, aiming to enhance the performance and efficiency of modern analog and mixed-signal systems. Dr. Swain earned his Doctor of Philosophy (Ph.D.) in 2025 from the School of Electronic Sciences, Odisha University of Technology and Research (OUTR), Bhubaneswar, India, under the guidance of Dr. Madhab Chandra Tripathy and Dr. Sribatsa Behera. His doctoral thesis, “Performance Improvement of Circuits and Systems Through Design and Analysis of Fractional-Order Elements,” presents innovative approaches to circuit optimization using fractional-order modeling principles. He also holds a Master of Technology (M.Tech.) in Electronics and Instrumentation Engineering from the same institution (2020), where his work on fractional-order filters and FOPID controllers laid the foundation for his subsequent research contributions. His Bachelor of Technology (B.Tech.) in Applied Electronics and Instrumentation was completed at C.V. Raman College of Engineering, Bhubaneswar, in 2018. With an impressive publication record of over 25 research papers, including 11 papers in SCIE and Scopus-indexed journals, 16 conference papers, and several manuscripts under review in reputed journals such as IEEE Transactions on Power Electronics and Circuits, Systems and Signal Processing, Dr. Swain has established himself as a dynamic researcher in electronic sciences. His works have collectively attracted 199 citations and an h-index of 10, reflecting his growing academic impact. His publications appear in high-quality international journals such as Computers in Biology and Medicine (Elsevier), Journal of Food Engineering (Elsevier), Nanoscale Advances (RSC), IETE Journal of Research (Taylor & Francis), Sādhanā (Springer), and AEU–International Journal of Electronics and Communications (Elsevier). His contributions include the realization of fractional-order inductors and capacitors, switched-capacitor-based filter designs, and fractional-order amplifiers, as well as innovative studies on bioimpedance modeling for analyzing the ripening and moisture content of fruits and vegetables. Dr. Swain’s excellence has been recognized with multiple honors, including the Young Scientist Award (2022) and the Best Researcher Award (2021) from the International Research Awards on Science, Health, and Engineering (ScienceFather), alongside Best Paper Awards at several IEEE international conferences. He has also delivered. Dr. Sumit Swain’s research integrates fractional calculus, sensor technology, and circuit innovation to push the boundaries of analog and biomedical electronics. His consistent publication output, recognized academic contributions, and commitment to advancing sustainable and intelligent circuit systems mark him as one of the promising young researchers in the field of electronic sciences.

Profiles: Scopus | Orcid

Featured Publications

Swain, S., Tripathy, M. C., Bhuyan, K. C., & Behera, S. (2025). Wide-band fractional-order filter design using coaxial TEM fractional-inductor. Next Research, 2(2), 100395.

Swain, S., Swain, S., Panda, B., & Tripathy, M. C. (2025). Modeling and optimal analysis of lung cancer cell growth and apoptosis with fractional-order dynamics. Computers in Biology and Medicine, 188, 109837.

Nayak, B., Swain, S., & Tripathy, M. C. (2025). Fractional order bioimpedance modeling for sensing fruit properties. Journal of Food Engineering, 397, 112594. https://doi.org/10.1016/j.jfoodeng.2025.112594

Swain, S., Tripathy, M. C., Behera, S., & Dastidar, A. (2025). Experimental analysis of ripening stages and moisture content of lemon using fractional-order bio-impedance modelling. IETE Journal of Research.

Sahoo, A., Acharya, A., Jena, P., Moonis, M., Biswal, J. P., Swain, S., & Tripathy, M. C. (2025). Zirconium ferrite nanoparticles as smart materials for energy and environmental applications: Fractional-order supercapacitors, reservoirs of F− ions, and efficient electrocatalysts for water splitting. Nanoscale Advances, 7(1), 1–12.

Swain, S., Tripathy, M. C., Sahoo, A., Acharya, A. N., & Behera, S. (2024). Implementation of a fractional-inductor (α < 0.5) and its performance study in a high-frequency LαR integrator circuit. AEU–International Journal of Electronics and Communications, 167, 155114.

Swain, S., Dash, S., & Tripathy, M. C. (2024). FOPID-based feed-forward temperature control of a 100°C thermal reservoir. In Proceedings of the 1st International Conference on Software, Systems and Information Technology (SSITCON 2024) (pp. 1–5).

Swain, S., Swami, S. D., Tripathy, M. C., & Behera, S. (2024). Performance exploration and tunability of a high-frequency fractional-order clock oscillator. In Proceedings of the IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE 2024) (pp. 1–6).

Jack Ng Kok Wah | Management and Accounting | Outstanding Educator Award

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Dr. Jack Ng Kok Wah | Management and Accounting | Outstanding Educator Award 

Multimedia University Cyberjaya | Malaysia

Dr. Jack Ng Kok Wah is a dynamic and forward-thinking academic leader, researcher, and trainer, currently serving as a Senior Lecturer at the Faculty of Management, Multimedia University (MMU), Malaysia. With over three decades of experience spanning academia and industry, he has established himself as an influential figure in the fields of artificial intelligence (AI), digital healthcare, mental health innovation, agricultural technology, and consumer behaviour research. His professional journey reflects a rare blend of academic rigor and practical expertise, driven by a passion to bridge scientific insight with societal and industrial transformation. Dr. Ng holds a PhD in Business from Universiti Malaya-Wales (UMW), an MBA in Marketing Management from Nottingham Trent University, UK, and a BA (Hons) in Marketing Management from University of Northumbria at Newcastle, UK. As an HRDF-certified and accredited trainer and a PIKOM-certified professional, he brings a multidisciplinary understanding of marketing, management, AI, and human development. His academic foundation, combined with extensive professional experience, enables him to mentor students and organizations in applying digital innovation for real-world impact. A prolific scholar, Dr. Ng has published more than 10 Q1 and Q2-ranked papers in Scopus and Web of Science (WoS) indexed journals between 2024 and 2025. His research has made significant contributions across several domains. In AI and healthcare, he explores how artificial intelligence, robotics, and machine learning can enhance surgical precision, reduce risk, and personalize medical treatment—highlighted in high-impact journals such as Frontiers in Public Health and Journal of Robotic Surgery. His notable works include “The Rise of Robotics and AI-Assisted Surgery in Modern Healthcare” and “AI-Driven Robotic Surgery in Oncology: Advancing Precision, Personalization, and Patient Outcomes.” These publications not only demonstrate his academic excellence but also his commitment to improving healthcare accessibility and efficiency through technology. Beyond healthcare, Dr. Ng’s research on AI in agriculture and food innovation addresses sustainability and global food security challenges. His paper “The Role of AI in Transforming Agriculture: Toward Sustainable Growth in an Era of Climate Change” highlights how intelligent technologies can optimize farming efficiency, resource management, and crop resilience. Similarly, his study on “AI-Driven 3D and 4D Food Printing” explores futuristic applications of additive manufacturing in food production, emphasizing environmental sustainability, personalization, and global scalability.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Ng Kok Wah, J. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19, Article 47.

Ng Kok Wah, J. (2025). Revolutionizing e-Health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.

Ng Kok Wah, J. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19(1), 311.

Ng, J., Wah, K., Fitriana, M., & Arumugam, T. (2023). Assumptions for structural equation modeling (SEM), normality of data distribution analysis and model fit measures. Normality of Data Distribution Analysis & Model Fit Measures.

Wah, K., & Ng, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19(1), 1–11.

Ng Kok Wah, J. (2025). Decoding structural equation modeling: Insights on data assumptions, normality, and model fit in advancing digital marketing strategies. Journal of Cases on Information Technology, 27(1), 20.

Ng Kok Wah, J. (2025). AI-driven 3D and 4D food printing: Innovations for sustainability, personalization, and global applications. Food Reviews International, 1–29.

Ng Kok Wah, J. (2025). Empowering healthier decisions: The impact of consumer innovativeness on linking perceived benefits with protective health behaviors through digital marketing in the health sector. International Journal of Pharmaceutical and Healthcare Marketing.

Ng Kok Wah, J. (2025). Mental health in transition: Exploring the impact of remote and hybrid work on employee well-being in the evolving post-pandemic workplace. Xinan Jiaotong Daxue Xuebao / Journal of Southwest Jiaotong University, 60(2).

Peste-Ras (Marcu) Iuliana | Agricultural and Biological Sciences | Best Researcher Award

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Prof. Peste-Ras (Marcu) Iuliana| Agricultural and Biological Sciences | Best Researcher Award 

Doctoral School of Chemical Engineering and Biotechnologies, National University of Science and Technology Politehnica Bucharest | Romania

Peste-Ras (Marcu) Iuliana is an accomplished Chemistry and Physics educator and an emerging researcher dedicated to advancing sustainable practices and innovative methodologies in chemical and environmental sciences. She currently serves as a Chemistry Teacher at High School Toma Socolescu, within the Department of Chemistry in Ploiesti, Romania, where she has been contributing to the academic and personal development of students since 2001. Her teaching career reflects a deep commitment to scientific literacy, hands-on learning, and the promotion of green chemistry principles among young learners. Between 2013 and 2015, she also served as a University Lecturer at the University of Oil and Gas, Ploiesti, Romania, where she taught chemistry-related subjects and guided undergraduate students in research projects. Dr. (PhD candidate) Iuliana Peste-Ras’s academic journey demonstrates a solid foundation in both the natural and applied sciences. She earned her Bachelor’s degree in Chemistry and Physics from the University of Petroleum and Gas, Faculty of Letters and Science, Ploiesti in 2001. Pursuing her passion for environmental sustainability, she completed a Master’s degree in Life Sciences and Ecology from the National University of Science and Technology Politehnica, Bucharest in 2019. She is currently a PhD student at the Doctoral School of Chemical Engineering and Biotechnologies, National University of Science and Technology Politehnica, Bucharest, where her research focuses on the valorization of natural products, food chemistry, and eco-friendly analytical methods for assessing the quality and antioxidant potential of horticultural produce. Her scientific contributions include notable research on tomato (Solanum lycopersicum L.) fruits, focusing on their physical and chemical properties, antioxidant capacity, and preservation techniques. Her publications highlight her growing influence in the field of food chemistry and sustainable processing. In 2022, she co-authored “The Effect of Peel and Seed Removal on the Physical and Chemical Properties of Tomato Fruits” published in U.P.B. Scientific Bulletin, Series B (84(3), 78–88). Her 2024 study, “The Effect of Freezing on the Physico-Chemical Properties of Tomato Fruits” (U.P.B. Sci. Bull., 86(1), 166–172), examined the influence of storage conditions on nutritional quality. Her 2025 publication in Horticulturae (Q1, IF: 3) titled “Analysis of the Antioxidant Capacity of Whole-Fruit Tomato Powder Using the FRAP Assay — An Eco-Friendly Approach for the Valorization of Horticultural Products” underscores her commitment to sustainable science and innovation in agricultural product research. Through her teaching excellence, research dedication, and academic leadership, Iuliana Peste-Ras continues to make a meaningful contribution to science education, food chemistry, and ecological sustainability in Romania and beyond.

Profile: Orcid

Featured Publications

Pește-Ras (Marcu), I., Radu, G. L., & Dăncilă, A. M. (2025). Analysis of the antioxidant capacity of whole-fruit tomato powder using the Ferric Reducing Antioxidant Power (FRAP) assay—An eco-friendly approach for the valorization of horticultural products. Horticulturae, 11(9), 1145. https://doi.org/10.3390/horticulturae11091145

Soujanya Reddy Annapareddy | Engineering | Women Researcher Award

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Mrs. Soujanyareddy Annapareddy | Engineering | Women Researcher Award

TAE Power Solutions | United States

Mrs. Soujanya Reddy Annapareddy is a seasoned Firmware Automation and Software Test Engineer with over 7.5 years of professional experience in embedded systems testing, automation frameworks, and data-driven validation methodologies. Her research and professional interests lie at the intersection of firmware validation, automation engineering, and intelligent system testing, focusing on how advanced test automation techniques enhance the performance, reliability, and scalability of embedded and IoT systems. At TAE Power Solutions, she has contributed to the automation and validation of Battery Energy Storage System (BESS) control platforms, integrating hardware-in-the-loop (HIL) environments and open-source frameworks such as PyTest, pandas, and matplotlib to improve regression coverage and testing efficiency. Her work explores the application of data analytics, fault-injection methods, and CI/CD pipeline integration in firmware testing to ensure real-world performance and fault tolerance. Her prior experience at Google Inc. involved automation testing for Android devices, wearable technologies, and data center systems, where she developed automation scripts in Python, Go, and C++, applied object-oriented design principles, and leveraged tools such as Mobly, Blueberry, and Buganizer for large-scale system validation. Soujanya’s analytical research focuses on automated testing frameworks, system-level reliability modeling, and signal strength optimization in wireless and connectivity domains. Methodologically, she employs Python-based automation, statistical analysis, and cloud-integrated validation frameworks, with hands-on experience in Linux environments, GCP cloud infrastructure, and RF system automation. Her interdisciplinary expertise bridges firmware engineering, test analytics, and computer science, offering insights into how automation accelerates innovation in embedded systems. Soujanya holds a Master of Science in Computer Technology from Eastern Illinois University and a Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University Hyderabad (JNTUH), where she graduated with distinction. Her academic projects and industrial research underscore her commitment to advancing intelligent automation, embedded testing, and data-driven system optimization in modern technology ecosystems.

Profile: Google Scholar

Featured Publications

Annapareddy, S. R. (2025). Edge AI for real-time fault detection in embedded systems. International Journal of Emerging Trends in Computer Science and Information Systems.

Annapareddy, S. R. (2024). Managing power flows and energy efficiency in embedded systems for BESS. IJAIDR – Journal of Advances in Developmental Research, 15(2), 1–5.

Annapareddy, S. R. (2024). Advanced fault detection and diagnostics in embedded control units for BESS. IJSAT – International Journal on Science and Technology, 15(4).

Annapareddy, S. R. (2024). Firmware architecture and safety standards in battery energy storage systems. International Journal of Innovative Research in Engineering.

Annapareddy, S. R. (2024). Optimizing Android device testing with automation frameworks. International Journal of Innovative Research and Creative Technology, 10(4), 1–7.

Annapareddy, S. R. (2024). Real-world applications of Python in firmware and software automation. International Journal of Innovative Research and Creative Technology, 10(2), 1–6.

Annapareddy, S. R. (2024). Advancements in firmware testing and validation techniques. ESP Journal of Engineering & Technology Advancements, 4(3).

Rajiv Dahiya | Business Analytics | Best Researcher Award

Published on by Research Awards

Dr. Rajiv Dahiya | Business Analytics | Best Researcher Award

University of North Carolina at Pembroke | United States

Dr. Rajiv Dahiya is an Assistant Professor of Business Analytics at the Thomas College of Business and Economics, University of North Carolina at Pembroke. His research integrates the disciplines of Business Analytics, Decision Science, and Information Systems, focusing on how organizations can leverage data-driven strategies to enhance decision-making, develop dynamic capabilities, and improve firm performance. Drawing on over a decade of professional experience in enterprise systems and analytics, Dr. Dahiya combines theoretical insight with practical applications in quantitative modeling, data visualization, and predictive analytics. His primary research stream examines the strategic role of Big Data Analytics (BDA) and Analytics Human Capital (AHC) in driving competitive advantage and firm outcomes. Building on the Resource-Based and Knowledge-Based Views, his doctoral dissertation, “Firm Performance in the Era of Big Data Analytics: Effects of Analytics Human Capital on Firm Capabilities and Performance,” empirically investigates how analytics expertise within firms fosters superior performance through enhanced decision-making capabilities. This work contributes to the growing body of literature on digital transformation and has been recognized for addressing critical gaps in understanding the human element of analytics success. Dr. Dahiya has published and presented his work in reputed outlets such as the Journal of Strategy and Management, Journal of Strategy & Innovation, and the Southeast Decision Science Institute Proceedings. His studies explore emerging topics including text analytics for content analysis, social media analytics and organizational attractiveness, and data-driven risk modeling in online identity theft. Current projects under review extend his analytical framework to assess the impact of business analytics and decision-making capabilities on organizational performance and employ classification analytics to forecast the success of management practices in Eastern European firms. Methodologically, Dr. Dahiya employs empirical, data-centric approaches such as multivariate regression, structural modeling, and machine learning classification, integrating data from sources like WRDS and Thomson Reuters. His interdisciplinary expertise bridges data science, management theory, and information systems, providing a robust platform for applied business research. Through his work, Dr. Dahiya aims to advance the theoretical understanding and practical deployment of analytics-driven decision support systems in corporate environments. His ongoing contributions align with the mission of developing evidence-based managerial insights that support data-driven transformation in today’s competitive business landscape. He remains an active member of the Decision Sciences Institute (DSI) and INFORMS Analytics Society, promoting research collaboration and knowledge dissemination in analytics and management science.

Profile: Scopus

Featured Publications

Dahiya, R., Le, S., & Kroll, M. J. (2025). Big data analytics and firm performance: The effects of human capital and mediating firm capabilities. Journal of Strategy & Innovation, 36(1).

Dahiya, R., Le, S., Ring, K., & Watson, K. (2022). Big data analytics and competitive advantage: The strategic role of firm-specific knowledge. Journal of Strategy and Management (Special Issue: Digital Transformation & Knowledge Management).

Dahiya, R. (2025). Text analytics for content analysis: A case study in online privacy. Proceedings of the Southeast Decision Science Institute.

Dahiya, R. (2025). Social media analytics and organization attractiveness. Proceedings of the Southeast Decision Science Institute.

Dahiya, R., & Van Slyke, C. (2024). Examining the impacts of analytics human capital on firm performance. Proceedings of the Southeast Decision Science Institute.

Dahiya, R., Kroll, M., Le, S., & Duong, B. (2020). Impact of managerial and employee analytics human capital on firm performance: An empirical study. Proceedings of the Southern Management Association Annual Meeting, St. Pete Beach, FL, October 20–23, 2020.

Dahiya, R., & Van Slyke, C. (2019). Big data analytics and competitive advantage: A systematic literature review. Proceedings of the Decision Science Institute Annual Meeting, New Orleans, LA, November 21–24, 2019.

Lamia Fourati | Computer Science | Best Researcher Award

Published on by Research Awards

Prof Dr. Lamia fourati | Computer Science | Best Researcher Award

Computer science and multimedia higher institute of Sfax | Tunisia

Prof. Lamia Chaari Fourati is a distinguished Professor of Telecommunications at the Higher Institute of Computer Science and Multimedia (ISIMS), Sfax University, Tunisia, and a senior researcher at the Digital Research Center of Sfax (CRNS) within the SM@RTS Laboratory. With over two decades of academic and research excellence, she has established herself as one of North Africa’s leading figures in wireless communications, intelligent network systems, and AI-driven communication technologies. Her research is centered on the design, optimization, and security of wireless networks—including Wireless Body Area Networks (WBANs), Internet of Things (IoT), UAV-based networks (FANETs), and Internet of Vehicles (IoV). She has significantly contributed to developing MAC and routing protocols, trust management frameworks, and privacy-preserving communication systems for next-generation wireless infrastructures. Her innovative work also spans AI, machine learning, reinforcement learning, blockchain, and federated learning, applied to 6G, edge, and cloud computing ecosystems, with a focus on security, reliability, and energy efficiency. Prof. Fourati’s international collaborations are extensive. She serves as a Working Group Member in European COST Actions such as INTERACT (CA20120) and CA22168 on Physical Layer Security for Trustworthy and Resilient 6G Systems. She has led and participated in multiple sponsored projects on AI-based secure frameworks for UAVs, trust management in IoV, and smart water systems, in partnership with institutions like University of Troyes (France) and University of Aveiro (Portugal). Her research has also been pivotal in developing autonomous and energy-efficient communication systems for smart cities, vehicular networks, and healthcare applications. A dedicated educator and mentor, Prof. Fourati has supervised numerous Master’s and Ph.D. theses and has served on national and international doctoral juries. Her global academic engagements include visiting professorships in India, delivering advanced courses on LLMs, generative AI, network security, IoT, and mobile networks, as well as invited tutorials and talks at major IEEE and international events such as NoF, CRiSIS, IEEE ICBC, and ICHI. Her distinguished contributions have earned her prestigious recognitions, including the African Union Kwame Nkrumah Regional Scientific Award (2016), Miss.Africa Seed Fund Award (2018), Burj Kallel Award for Best Researcher (2019), and Outstanding Woman in Tech – North Africa (2021). In 2024, she was named among the Top Tunisian Women in Tech. An IEEE Senior Member and active participant in organizations such as OWSD, N2Women, ISOC, and ITU, Prof. Fourati continues to inspire the next generation of researchers and women in STEM. Her work integrates sustainable development, green computing, and ethical AI, aiming to build a future where intelligent, secure, and inclusive communication systems empower societies globally.

Profiles: Scopus | Orcid

Featured Publications

Fourati, L. C. (2024). Investigation of security threat datasets for intra- and inter-vehicular environments. Sensors, 24(11), 3431. https://doi.org/10.3390/s24113431

Fourati, L. C. (2022). Analysis of LoRaWAN 1.0 and 1.1 protocols security mechanisms. Sensors, 22(10), 3717. https://doi.org/10.3390/s22103717

Fourati, L. C. (2022). A genetic algorithm-based intelligent solution for water pipeline monitoring system in a transient state. Concurrency and Computation: Practice and Experience, 34(21), e5959. https://doi.org/10.1002/cpe.5959

Fourati, L. C. (2022). Cyber-physical systems for structural health monitoring: Sensing technologies and intelligent computing. Journal of Supercomputing, 78, 15126–15153. https://doi.org/10.1007/s11227-021-03875-5

Fourati, L. C. (2022). Investigation on vulnerabilities, threats and attacks prohibiting UAVs charging and depleting UAVs batteries: Assessments and countermeasures. Ad Hoc Networks, 131, 102805. https://doi.org/10.1016/j.adhoc.2022.102805

Fourati, L. C. (2021). 5G network slicing: Fundamental concepts, architectures, algorithmics, projects practices, and open issues. Concurrency and Computation: Practice and Experience, 33(24), e6352. https://doi.org/10.1002/cpe.6352

Fourati, L. C. (2021). A convoy of ground mobile vehicles protection using cooperative UAVs-based system. In 2021 International Symposium on Networks, Computers and Communications (ISNCC) (pp. 1–6). IEEE. https://doi.org/10.1109/ISNCC52172.2021.9615724

Fourati, L. C. (2021). A survey of 5G network systems: Challenges and machine learning approaches. International Journal of Machine Learning and Cybernetics, 12, 1–27. https://doi.org/10.1007/s13042-020-01178-4

Fourati, L. C. (2021). Blockchain-based trust management approach for IoV. In Lecture Notes in Networks and Systems (Vol. 206, pp. 455–467). Springer. https://doi.org/10.1007/978-3-030-75100-5_42