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

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

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

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

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

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

Abu Farzan Mitul | Engineering | Best Researcher Award

Dr. Abu Farzan Mitul | Engineering | Best Researcher Award

Leidos | United States

Dr. Abu Farzan Mitul is an accomplished researcher and educator specializing in opto-electronic device fabrication, fiber optic sensing technologies, and nanostructured thin-film materials. His research bridges the intersection of photonics, materials science, and advanced sensing systems — contributing to innovations that enhance environmental monitoring, industrial automation, and biomedical diagnostics. Dr. Mitul earned his Ph.D. in Electrical and Computer Engineering from the University of Texas at El Paso (UTEP), USA, where he designed and developed advanced fiber Bragg grating sensors and thin-film photonic devices for multi-parameter sensing applications. His earlier academic training includes a B.Sc. and M.Sc. in Applied Physics, Electronics, and Communication Engineering from the University of Dhaka, Bangladesh. Throughout his career, Dr. Mitul has collaborated with leading U.S. research institutions and agencies, including the Department of Energy (DOE), Department of Defense (DoD), and NASA, focusing on next-generation optoelectronic and energy-efficient sensing systems. His extensive publication record spans high-impact journals and international conferences in photonics, sensor technology, and materials characterization. In addition to his research, Dr. Mitul has served as a faculty member and laboratory instructor, mentoring undergraduate and graduate students in electronics, photonics, and experimental physics. He is passionate about advancing interdisciplinary research in fiber optic sensing, MEMS/NEMS devices, photonic integrated systems, and nanotechnology-driven device engineering. Dr. Mitul continues to explore innovative pathways toward miniaturized, high-sensitivity photonic systems with applications across environmental, aerospace, and biomedical fields — aligning cutting-edge materials research with sustainable technological development.

Profiles: Orcid | Google Scholar | Linkedin

Featured Publications

Adhikari, N., Dubey, A., Khatiwada, D., Mitul, A. F., Wang, Q., Venkatesan, S., & Qiao, Q. (2015). Interfacial study to suppress charge carrier recombination for high efficiency perovskite solar cells. ACS Applied Materials & Interfaces, 7(48), 26445–26454. https://doi.org/10.1021/acsami.5b08343

Rana, G. M. S. M., Khan, A. A. M., Hoque, M. N., & Mitul, A. F. (2013, December). Design and implementation of a GSM based remote home security and appliance control system. In 2013 2nd International Conference on Advances in Electrical Engineering (ICAEE) (pp. 291–295). IEEE. https://doi.org/10.1109/ICAEE.2013.6750340

Khatiwada, D., Venkatesan, S., Adhikari, N., Dubey, A., Mitul, A. F., Mohammad, L., … & Qiao, Q. (2015). Efficient perovskite solar cells by temperature control in single and mixed halide precursor solutions and films. The Journal of Physical Chemistry C, 119(46), 25747–25753. https://doi.org/10.1021/acs.jpcc.5b08667

Mitul, A. F., Mohammad, L., Venkatesan, S., Adhikari, N., Sigdel, S., Wang, Q., … & Qiao, Q. (2015). Low temperature efficient interconnecting layer for tandem polymer solar cells. Nano Energy, 11, 56–63. https://doi.org/10.1016/j.nanoen.2014.10.030

Venkatesan, S., Ngo, E. C., Chen, Q., Dubey, A., Mohammad, L., Adhikari, N., … & Qiao, Q. (2014). Benzothiadiazole-based polymer for single and double junction solar cells with high open circuit voltage. Nanoscale, 6(12), 7093–7100. https://doi.org/10.1039/C4NR00606H

Islam, M. M., Rafi, F. H. M., Mitul, A. F., Ahmad, M., Rashid, M. A., & Malek, M. F. B. A. (2012, May). Development of a noninvasive continuous blood pressure measurement and monitoring system. In 2012 International Conference on Informatics, Electronics & Vision (ICIEV) (pp. 695–699). IEEE. https://doi.org/10.1109/ICIEV.2012.6317425

 

Jibin joy Danie | Dentistry | Excellence in Research Award

Dr. Jibin joy Danie | Dentistry | Excellence in Research Award

Pushpagiri college of dental sciences | India

Dr. Jibin Joy Daniel is an accomplished dental professional and academician currently serving as an Assistant Professor in the Department of Orthodontics at Pushpagiri College of Dental Sciences, Thiruvalla, Pathanamthitta, Kerala. With a strong academic foundation, clinical expertise, and a passion for advancing orthodontic science, Dr. Daniel has distinguished himself as a promising researcher and educator in the field of dental and orthodontic sciences. He obtained his Bachelor of Dental Surgery (BDS) from the Government Dental College, Kottayam, under the Kerala University of Health Sciences (KUHS) in 2018, where he graduated with First Class honors. Driven by a desire to specialize in orthodontics and dentofacial orthopedics, he pursued his Master of Dental Surgery (MDS) at A.J. Institute of Dental Sciences, Mangalore, affiliated with Rajiv Gandhi University of Health Sciences (RGUHS), Karnataka, where he secured First Class distinction and achieved an impressive 9th Rank in the university examinations. Furthering his academic and professional pursuits, Dr. Daniel became a Fellow of the Academy of General Education, Manipal University, and earned certification in Advanced Orthodontics from Yonsei University, Seoul, South Korea—an international recognition that reflects his global outlook on orthodontic innovation. He is also a Fellow of the Pierre Fauchard Academy (USA), a prestigious honor awarded to dental professionals for exemplary contributions to dentistry. Dr. Daniel’s commitment to research is reflected in his numerous scientific publications and conference presentations. He has authored more than 25 publications in reputed international journals, covering diverse areas such as orthodontic treatment mechanics, smile aesthetics, airway management, functional appliances, and genetic research. His ICMR-funded project on RUNX2 gene nucleotide polymorphism in skeletal class II and class III malocclusion underscores his dedication to genetic and molecular approaches in orthodontics. His contributions have been recognized with the ISSN International Best Research Award (2025) and his role as a speaker at the International Conference on Cosmetology, Dubai (2025) further highlights his growing international presence. Dr. Daniel’s academic journey is complemented by an active engagement in scientific conventions and professional societies. He has presented posters and papers at multiple Indian Orthodontic Society (IOS) PG Conventions and participated in OrthoByte 2020, where he also competed in quiz sessions. As a registered member of both the Kerala State Dental Council (Reg. No. 21012) and the Indian Orthodontic Society (Reg. No. LM 5420), he continues to uphold professional excellence and ethical standards in practice and teaching. His clinical and teaching philosophy emphasizes patient-centered care, evidence-based orthodontic interventions, and mentorship of young dental professionals. Known for his excellent communication skills, compassion, and professional integrity, Dr. Daniel ensures his students and patients alike benefit from his depth of knowledge and clinical acumen.

Profile: Google Scholar

Featured Puiblications

Daniel, J. J., & Kumar, A. (2024). Smile esthetics in orthodontics: Review of literature. Journal of Dentistry, 14, 701.

Daniel, J. J., Nizar, A., & Kumar, A. H. (2023). Transverse and sagittal arch development using Transforce appliance: A case report. Saudi Journal of Oral and Dental Research, 8, 59–64.

Geojan, D. G., & Daniel, J. J. (2025). Patient compliance with removable myofunctional appliance wear in central Travancore population: A questionnaire-based study. International Journal of Advanced Research (IJAR), 11(2), 168–170.

Daniel, J. J. (2023). Awareness about clear aligner among dental students: A cross-sectional study. IP Indian Journal of Orthodontics and Dentofacial Research.

Amir, S., John, J., Thomas, N. O., Abraham, N., Cherian, R. A., & Daniel, J. J. (2023). Different orthodontic treatment modalities on airway: A review. International Journal of Dental and Medical Sciences Research (IJDMSR).

Daniel, J. J., Nizar, A., Shetty, K. N., & Kumar, A. (2022). Use of a posterior bite block modified with TPA and palatal crib for treating open bite in a growing individual: A case report. Austin Journal of Dentistry, 9(2), 1169.

Madhav Chandran, B., Daniel, J. J., Abraham, N., & Cherian, R. A. (2023). Fixed functional appliances: A clinician’s perspective. International Journal of Scientific Research (IJSR).

Daniel, J. J., Geojan, D. G., & James, A. (2023). Fixed functional appliances: A clinician’s perspective. International Journal of Scientific Research (IJSR).

Diya Agrawal | Chemical Engineering | Best Researcher Award

Ms. Diya Agrawal | Chemical Engineering | Best Researcher Award 

Birla Institute of Technology and Science | India

Ms. Diya Agrawal is an exceptional dual-degree student pursuing M.Sc. (Hons.) in Chemistry and B.E. (Hons.) in Chemical Engineering at the Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus (2021–2026), maintaining an outstanding CGPA of 9.4. With a strong interdisciplinary background bridging chemistry, chemical engineering, and data analytics, she exemplifies a new generation of researchers passionate about sustainable chemical technologies, carbon capture, and clean energy innovation. Her academic journey reflects a seamless integration of simulation-based process engineering, experimental chemistry, and techno-economic analysis — skills that have enabled her to contribute to advanced industrial and environmental research. Her technical proficiency encompasses Aspen Plus, Aspen HYSYS, Python, MATLAB, SQL, and visualization tools such as Tableau, Power BI, and Looker Studio. This versatile toolkit allows her to model complex processes, analyze large datasets, and develop digital solutions for chemical engineering systems. Her innovative approach to reactor and absorber design improved energy efficiency and conversion rates while ensuring process feasibility for sustainable fuel synthesis. In another project, she conducted a techno-economic analysis of biogas-to-bio-CNG conversion using Aspen Plus, where she optimized methane yield (>95%) and evaluated scale-up cost implications for industrial deployment. Her research on Novel Adsorbents for Direct Air Capture (DAC) further illustrates her ability to merge materials chemistry with process engineering. She synthesized amide-based Metal–Organic Frameworks (MOFs) that demonstrated a 25% increase in CO₂ adsorption capacity, providing valuable insights into scalable carbon capture solutions. Complementing this experimental work, she also contributed to literature through her review on “Green Hydrogen Production Pathways for a Sustainable Future with Net Zero Emissions” published in Fuel (2023), where she analyzed over 400 studies to highlight advancements and challenges in the hydrogen economy. Her second publication, “Comparative Study of Modified Cu-BTC and ZIF-8 Adsorbents for CO₂ Capture” (Total Environment Engineering, 2025), has been recognized for its contribution to carbon capture research, garnering early citations in sustainability and materials science literature. To date, Ms. Agrawal has 2 peer-reviewed journal publications, accumulating over 35 citations and an h-index of 2, reflecting her growing research influence in the fields of carbon capture and green hydrogen production. Beyond research, Ms. Agrawal has demonstrated exemplary leadership and organizational acumen as the Vice-President of Alchemy, the BITS Chemistry Association, where she led a 25-member team to organize technical fests and academic outreach initiatives. Her excellence has been recognized through the Merit Scholarship (Top 2%) at BITS Pilani Hyderabad in 2025. Ms. Diya Agrawal stands out as a dedicated scholar and an emerging innovator, committed to advancing sustainable chemical processes through an integrated approach combining chemical engineering, environmental science, and data-driven analysis. Her strong research record, academic excellence, and leadership potential position her as a promising contributor to the global transition toward a sustainable and carbon-neutral future.

Profiles: Scopus | Linkedin

Featured Publications

Velagala, S. K. R., Aniruddha, R., Agrawal, D., Sabri, Y. M., Parthasarathy, R., & Sreedhar, I. (2025). Comparative study of modified Cu-BTC and ZIF-8 adsorbents for stable and enhanced direct air capture of CO₂. Total Environment Engineering.

 Agrawal, D., Mahajan, N., Singh, S. A., & Sreedhar, I. (2023). Green hydrogen production pathways for sustainable future with net zero emissions. Fuel.

Nabila Tabassum | Advanced Materials Engineering | Women Researcher Award

Ms. Nabila Tabassum | Advanced Materials Engineering | Women Researcher Award

Shiv Nadar Instituion of Eminence, Greater Noida | India

Ms. Nabila Tabassum is a doctoral researcher in Chemical Engineering at the Shiv Nadar Institution of Eminence, Greater Noida, India, whose work spans computational and experimental materials science with a strong focus on atomistic simulations, high-entropy materials, and sustainable energy and catalysis applications. Her research programme is grounded in the integration of density functional theory (DFT) and molecular dynamics (MD) modelling with bench-scale synthesis and characterization of advanced materials. Key thematic areas include the design, modelling and fabrication of high-entropy alloys (HEAs) and high-entropy oxides/ceramics (HEOs/HECs) for high-temperature and thermal-barrier-coating applications; catalytic conversion of bio-derived feedstocks (such as ethanol) to olefins and value-added chemicals; and CO₂ capture / separation by mixed amine and ionic-liquid solvents. Through her research she has developed a broad toolkit comprising high-fidelity atomistic simulation of structural, thermal and mechanical properties of multi-component materials; synthesis via ball-milling, pressing and sintering; catalytic kinetics modelling and heterogeneous catalyst preparation (for example Cd-ZrO₂, Cu-ZrO₂, Fe-ZrO₂ systems); and experimental absorption-based CO₂ capture studies and bio-film formation for food-packaging systems. Her doctoral topic—“Atomistic Simulations for the Development of High Entropy Materials with Superior Thermal Stability and Mechanical Properties”—positions her at the frontier of materials design for extreme environments. Her publications include in 2024 “Structural, Mechanical and Thermal Properties of AlₓCoCrFeNi Alloys” (Metals and Materials International), and in 2025 “Thermal stability assessment of mixed-phase AlCoCrFeNi high entropy alloy: In silico studies” (Physica B). Earlier she published reviews on ethanol to olefins conversion and on CO₂ hydrogenation to ethanol, demonstrating her competence in catalytic processes and kinetic modelling. The citation metrics reflect early-career standing, with strong growth trajectory given the multidisciplinary nature of her work. Her project leadership and participation include: as Senior Research Fellow (SRF) on a Dassault Systèmes–funded project (2024) on development of high-entropy oxides for thermal barrier coatings; leading computational/experimental investigations of HEOs; and participating in synthesis and characterization studies on TBC materials and related coatings. She has also collaborated on catalyst design and CO₂ capture systems, bridging fundamental simulation with applied experimental work. In teaching and mentoring roles, Ms. Tabassum contributes to the academic environment via supervision of M.Tech/B.Tech students, and participates in international conferences and symposiums, thereby disseminating her findings and building networks across materials and energy research communities. Her simulation-first approach, coupled with experimental verification, places her in a strong position to impact high-temperature materials development, energy conversion technologies and sustainable chemical processes.

Profiles: Scopus | Google Scholar

Featured Publications

Ali, S. S., Ali, S. S., & Tabassum, N. (2022). A review on CO₂ hydrogenation to ethanol: Reaction mechanism and experimental studies. Journal of Environmental Chemical Engineering, 10(1), 106962. https://doi.org/10.1016/j.jece.2021.106962

Tabassum, N., Pothu, R., Pattnaik, A., Boddula, R., Balla, P., Gundeboyina, R., Challa, P., Rajesh, R., Perugopu, V., Mameda, N., Radwan, A. B., & Al-Qahtani, N. (2022). Heterogeneous catalysts for conversion of biodiesel-waste glycerol into high-added-value chemicals. Catalysts, 12(7), 767. https://doi.org/10.3390/catal12070767

Tabassum, N., & Ali, S. S. (2021). A review on synthesis and transformation of ethanol into olefins using various catalysts. Catalysis Surveys from Asia, 26(4), 261–280. https://doi.org/10.1007/s10563-021-09348-2

Boddula, R., Shanmugam, P., Srivatsava, R. K., Tabassum, N., Pothu, R., & Naik, R. (2023). Catalytic valorisation of biomass-derived levulinic acid to biofuel additive γ-valerolactone: Influence of copper loading on silica support. Reactions, 4(3), 465–477. https://doi.org/10.3390/reactions4030033

Tabassum, N., Sistla, Y. S., Burela, R. G., & Gupta, A. (2024). Structural, electronic, mechanical and thermal properties of AlₓCoCrFeNi (0 ≤ x ≤ 2) high-entropy alloy using density functional theory. Metals and Materials International, 30(6), 3349–3369. https://doi.org/10.1007/s12540-024-01709-6

Tabassum, N., & Sistla, Y. S. (2025). Thermal stability assessment of mixed-phase AlCoCrFeNi high-entropy alloy: In silico studies. Physica B: Condensed Matter, 712, 417319. https://doi.org/10.1016/j.physb.2025.417319

Sistla, Y. S., Burela, R. G., Gupta, A., & Tabassum, N. (2022). Optical, thermal, and mechanical properties of scheelite molybdate and tungstate materials using atomistic simulations. In Proceedings of the Biennial International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2022).

Tabassum, N., Sistla, Y., & Burela, R. (2022). The effect of pressure on phase transitions and properties of calcium tungstate solid-state material for laser applications using first-principles study. In Proceedings of YUKTHI Conference (2022).

Wei Liu | Chemical Engineering | Best Researcher Award

Dr. Wei Liu | Chemical Engineering | Best Researcher Award

University of Jinan | China

Dr. Wei Liu is a dedicated researcher and lecturer at the Institute of Smart Materials and Engineering, University of Jinan, China. He obtained his Ph.D. in 2019 from the Huazhong University of Science and Technology, following his master’s and bachelor’s degrees from Qingdao University of Science and Technology in 2014 and 2011, respectively. Since joining the University of Jinan in 2019, Dr. Liu has actively contributed to both teaching and research, guiding seven master’s students and delivering core courses such as Organic Chemistry. In parallel, he has pursued postdoctoral research (2022–2025) while engaging as a special correspondent for the Shandong Province enterprise science and technology program, bridging academia and industrial innovation. Dr. Liu’s research primarily focuses on high-efficiency deep blue organic light-emitting diodes (OLEDs), the design and synthesis of rare-earth-based light conversion materials, and the crystal engineering of organic molecules, including polymorphs and co-crystals. His work aims to enhance the performance, efficiency, and sustainability of optoelectronic and photonic materials, with applications in advanced lighting, display technologies, and agriculture. He has led and participated in multiple scientific research projects, including the Science and Technology Program of the University of Jinan (as project leader), major university and provincial development programs, and industrial pilot studies on agricultural light conversion agents. A prolific scholar, Dr. Liu has authored or co-authored over 50 research publications in leading international journals such as Science Bulletin, Chemical Communications, Journal of Materials Chemistry C, Dyes and Pigments, Ceramics International, and Nanomaterials. His notable studies include the development of Bi³⁺/Eu³⁺ co-doped phosphors for tunable light emission, non-doped sky-blue fluorescent OLEDs based on novel anthracene derivatives, and advanced photoluminescent materials for plant growth applications. His collaborative research on deep blue anthracene-based luminogens, published in Science Bulletin, has drawn attention for achieving exceptional efficiency and stability in OLED devices. Dr. Liu’s scientific achievements have been recognized with multiple honors, including the First Prize for Outstanding Scientific Research Achievement Award of Shandong Universities (2014), the First Prize of Science and Technology Award of Shandong University (2016), and the Excellent Master’s Thesis Award of Shandong Province (2015). In addition to journal publications, he holds patents such as An anthracene-based deep blue organic luminescent material with high efficiency and low roll-off (CN 111303009 B) and an international patent for a diketopyrrolopyrrole-based red light conversion agent (South Africa No. 2023/00481). Through his interdisciplinary research that integrates chemistry, materials science, and photonic engineering, Dr. Liu is advancing the development of next-generation luminescent materials and agricultural phototechnology. His ongoing projects aim to improve light utilization efficiency in both electronic and ecological systems, promoting sustainable solutions for modern energy and environmental challenges. As an educator and innovator, he continues to mentor young scientists and contribute to China’s strategic development in smart materials and optoelectronic technology.

Profiles: Scopus | Orcid

Featured Publications

Liu, M., Yang, C., Liu, W., Zhou, X., Liu, S., You, Q., & Jiang, X. (2024). Synthesis of Bi³⁺ and Eu³⁺ co-doped Na₄CaSi₃O₉ blue-red light tunable emission phosphors for inducing plant growth. Ceramics International, 50, 9058–9069.

Lu, X., Liu, W., Kang, Z., Yang, C., Nie, Y., & Jiang, X. (2023). Efficient non-doped sky-blue fluorescent organic light emitting devices based on cyanopyridine-containing anthracene derivatives. Dyes and Pigments, 220, 111712.

Yang, C., Liu, W., You, Q., Zhao, X., Liu, S., Xue, L., Sun, J., & Jiang, X. (2023). Recent advances in light-conversion phosphors for plant growth and strategies for the modulation of photoluminescence properties. Nanomaterials, 13, 1715.

Guo, R., Liu, W., Ma, D., & Wang, L. (2021). Exceptionally efficient deep blue anthracene-based luminogens: Design, synthesis, photophysical, and electroluminescent mechanisms. Science Bulletin, 66, 2090–2098. https://doi.org/10.1016/j.scib.2021.02.021

Liu, W., & Yang, W. (2013). Alkoxy-position effects on piezofluorochromism and aggregation-induced emission of 9,10-bis(alkoxystyryl)anthracenes. Chemical Communications, 49, 6042–6044.

Liu, W., & Yang, W. (2014). 2,6,9,10-Tetra(p-dibutylaminostyryl)-anthracene as a multifunctional fluorescent cruciform dye. Journal of Materials Chemistry C, 2, 9028–9034.