Dr Xixing Li | Manufacturing Automation | Best Researcher Award

Published on 20/12/202420/12/2024 by Research Scientist

Dr Xixing Li | Manufacturing Automation | Best Researcher Award

Associate professor at Hubei University of Technology,China

Publication Profile

📚 Early Academic Pursuits

Xixing Li demonstrated an early aptitude for mechanical engineering, completing his B.S. in Mechanical Engineering and Automation in 2011 from the University of Jinan. He pursued advanced studies at Wuhan University of Technology, earning an M.S. in Mechanical Engineering in 2013. His dissertation focused on the transformation of customer need information into actionable models for textile machinery enterprises, showcasing his interest in integrating customer-centric processes with mechanical engineering principles. Continuing at Wuhan University, he completed his Ph.D. in Mechanical Engineering in 2017, under the supervision of Prof. Shunsheng Guo. His dissertation tackled the challenges of production scheduling and optimization in textile machinery manufacturing, laying the foundation for his future research.

👨‍🏫 Professional Endeavors

Xixing Li embarked on his teaching career as a Lecturer at the School of Mechanical Engineering, Hubei University of Technology, in 2017. His dedication and expertise earned him a promotion to Associate Professor in 2020, marking a significant milestone. In 2023, he expanded his professional reach by joining Ningbo University and Ningbo Cixing Co., Ltd., as a Postdoctoral Fellow, where he continues to blend academic research with industrial applications.

🧠 Contributions and Research Focus

Li’s research spans optimization algorithms, production scheduling, and supply chain management, with applications in flexible job shop scheduling, green manufacturing, and fault diagnosis. He has authored over 35 high-impact journal articles in fields ranging from manufacturing systems to intelligent fault diagnosis. Notable works include innovative methods in multi-objective optimization, artificial intelligence applications in manufacturing, and fault detection using YOLOv5s-GC for surface defects. His studies bridge theoretical advancements with practical industrial solutions, driving progress in modern manufacturing.

🏆 Accolades and Recognition

Xixing Li’s publications in leading journals such as the Journal of Manufacturing Systems, Journal of Cleaner Production, and Tsinghua Science and Technology have earned widespread acclaim. His innovative approaches in manufacturing scheduling and optimization algorithms have not only advanced academic discourse but also provided actionable solutions for industrial challenges. His ongoing postdoctoral work continues to attract recognition in the research community.

🌍 Impact and Influence

Li’s contributions have had a transformative impact on the fields of industrial engineering and manufacturing systems. His focus on integrating green scheduling and intelligent fault diagnosis reflects his commitment to sustainable and efficient production methods. By bridging academia and industry, he has influenced both educational practices and industrial processes, inspiring peers and students alike.

🌟 Legacy and Future Contributions Highlight

As a dedicated educator, researcher, and innovator, Xixing Li is set to leave a lasting legacy in mechanical engineering. His work continues to inspire advancements in smart manufacturing, sustainable practices, and fault-tolerant systems. With his expanding collaborations and ongoing postdoctoral research, his future contributions are poised to further shape the global manufacturing landscape.

📚 Publications Top Notes

Li, X., Wu, C., Wu, R., & Tang, H. (2024). Multi-objective fuzzy green scheduling optimization method of special vehicle body-in-white prototype shop considering equipment preventive maintenance.
Li, X., Zhao, Q., Tang, H., et al. (2024). Flexible Job Shop Composite Dispatching Rule Mining Approach Based on An Improved Genetic Programming Algorithm.
Li, X., Zhao, Q., Tang, H., Yang, S., Lei, D., & Wang, X.V. (2024). Joint Scheduling Optimization Method for the Machining and Heat-treatment of Hydraulic Cylinders Based on Improved Multi-objective Migrating Birds Optimization.
Yang, R., Li, X., & Zhang, Y. (2024). Automated grasp labeling and detection framework with pixel-level precision.
Li, X., Yang, R., & Zhou, H. (2024). YOLOv5s-GC-Based Surface Defect Detection Method of Strip Steel.
Li, X., Guo, X., Tang, H., et al. (2023). An improved cuckoo search algorithm for the hybrid flow-shop scheduling problem in sand casting enterprises considering batch processing.
Li, X., Guo, X., Tang, H., et al. (2023). Survey of integrated flexible job shop scheduling problems.
Wang, J., Lei, D., Li, D., Li, X., & Tang, H. (2025). A dynamic artificial bee colony for fuzzy distributed energy-efficient hybrid flow shop scheduling with batch processing machines.
Tao, T., Zhang, W., Li, X., & Wei, S. (2024). A discrete group teaching optimization algorithm for solving many-objective sand casting whole process production scheduling problem.
Zhou, H., Zhu, L., & Li, X. (2022). Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis.

Prof. Dr Vasiliy Lyubetskiy | Discovering the Physiological Significance and Regulatory Mechanisms of Circadian Rhythm Generation | Best Researcher Award

Published on 16/12/202416/12/2024 by Research Scientist

Prof. Dr Vasiliy Lyubetskiy | Discovering the Physiological Significance and Regulatory Mechanisms of Circadian Rhythm Generation | Best Researcher Award

Doctor of Physical and Mathematical Sciences at Institute for Information Transmission Problems of the Russian Academy of Sciences,Russia

Vassily Lyubetsky is a distinguished mathematician and bioinformatician, holding MSc, PhD, and DSc degrees in Mathematics from Moscow State University and the Russian Academy of Sciences. He is a Doctor of Physical and Mathematical Sciences and a full professor. Lyubetsky serves as the Head of the Laboratory of Mathematical Methods and Models in Bioinformatics at the Institute for Information Transmission Problems and as a professor at Moscow State University’s Faculty of Mechanics and Mathematics, specializing in Mathematical Logic and Algorithms.

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🌱 Early Academic Pursuits

Vassily Lyubetsky embarked on his academic journey at the prestigious Moscow State University, where he earned his MSc, PhD, and DSc habilitation degrees in Mathematics. His formative years were marked by rigorous study and a profound passion for exploring the depths of mathematical sciences. These early academic milestones laid a robust foundation for his exceptional career as a mathematician and researcher.

💼 Professional Endeavors

Dr. Lyubetsky serves as the Head of the Laboratory of Mathematical Methods and Models in Bioinformatics, a testament to his pioneering efforts in integrating mathematics with bioinformatics. He also holds a professorial position at the Faculty of Mechanics and Mathematics at Moscow State University, specifically within the Department of Mathematical Logic and Theory of Algorithms. Additionally, as the principal investigator at the Scientific Research Centre for Electronic Computer Technology, he continues to lead groundbreaking projects at the intersection of mathematics and technology.

🧪 Contributions and Research Focus

A polymath in his field, Dr. Lyubetsky’s expertise spans mathematical logic, model theory, set theory, algebra, computer science, and bioinformatics. His work bridges theoretical mathematics with practical applications, especially in the burgeoning field of bioinformatics. His dedication is evident in his research outputs and his leadership roles, fostering innovation and advancing knowledge in both academia and industry.

🏆 Accolades and Recognition

Dr. Lyubetsky’s remarkable contributions have earned him memberships in both the Moscow and American Mathematical Societies, reflecting his global impact. His extensive academic profiles on platforms like WoS, Scopus, and Orcid further highlight his influence and the widespread recognition of his scholarly work.

🧬 Legacy and Future Contributions

Vassily Lyubetsky’s legacy is firmly rooted in his dual commitment to advancing theoretical knowledge and addressing practical challenges. As the head of a leading bioinformatics laboratory, he continues to push the boundaries of mathematical modeling and computational biology. His ongoing projects aim to uncover new insights into the regulatory mechanisms of biological systems, paving the way for breakthroughs in science and medicine.

📚 Publications

1️⃣ Article: Optimization of gene orders in chromosomes of filamentous fungi inferred from comparison to chromosomes of other taxa
Author(s): Lyubetsky, V. A., Zheleznyakova, E. N., Pirogov, S. A.
Journal: Molecular Biology Year: 2023

2️⃣ Article: Polytomy probabilities in a model with an infinite number of gene trees
🖋️ Author(s): Lyubetsky, V. A., Pirogov, S. A.
📰 Journal: Mathematical Biosciences
📅 Year: 2021

3️⃣ Article: Genes with multiple promoters and the evolution of exon-intron structure in fungi
🖋️ Author(s): Lyubetsky, V. A., Gorbunov, K. Y.
📰 Journal: Journal of Computational Biology
📅 Year: 2020

4️⃣ Article: Reconstruction of fungal chromosome rearrangements using gene order data
🖋️ Author(s): Lyubetsky, V. A., Gorbunov, K. Y., Pirogov, S. A.
📰 Journal: Frontiers in Genetics
📅 Year: 2019

5️⃣ Article: Mathematical modeling of organelle genome rearrangements
🖋️ Author(s): Lyubetsky, V. A., Rubanov, L. I.
📰 Journal: Journal of Theoretical Biology
📅 Year: 2018

Prof. Dr Renganthan S | Nanoparticles, Biofuel and Algal Biotechnology | Best Researcher Award

Published on 13/12/202413/12/2024 by Research Scientist

Prof. Dr Renganthan S | Nanoparticles, Biofuel and Algal Biotechnology | Best Researcher Award

Professor at Anna University, Chennai,India

Professor S. Renganathan is a renowned expert in biochemical engineering with over 25 years of academic and research experience. Currently serving as a Professor in the Department of Biotechnology at A.C. Tech Campus, Anna University, Chennai, India, his contributions span teaching, cutting-edge research, and academic leadership. His groundbreaking work in biodiesel production, green nanotechnology, and biosorption of textile dyes has gained national and international acclaim.

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🌟 Early Academic Pursuits

Dr. S. Renganathan embarked on his academic journey with a robust foundation in chemical engineering. He earned his B.Tech and M.Tech in Chemical Engineering from Annamalai University, India, and went on to complete his Ph.D. in Biochemical Engineering from Anna University. His early academic years were marked by exceptional achievements, including securing first rank in M.E. Chemical Engineering and receiving prestigious awards like the Thiru T.M. Narayana Pillai Chemical Engineering Prize, presented by the Governor of Tamil Nadu.

🧑‍🏫 Professional Endeavors

Dr. Renganathan’s professional trajectory spans over 25 years, showcasing his versatility in academia, research, and industry. Beginning as a trainee engineer at NEPA Limited, he quickly transitioned into teaching roles, steadily rising through the ranks at Anna University, Chennai. From lecturer to professor, his work has consistently blended teaching and research, focusing on cutting-edge areas in biotechnology and chemical engineering.

🔬 Contributions and Research Focus

Production of biodiesel from underutilized non-edible seeds and algae.
Green synthesis of nanoparticles for medical and environmental applications.
Development of antimicrobial agents from medicinal plants.
Biosorption and bioaccumulation techniques for treating textile dyes.

🏆 Accolades and Recognition

Young Scientist Award from DST-SERB, New Delhi (2012).
Outstanding Scientist Award from the Centre for Advanced Research and Design (2015).
Lifetime Achievement Award (2021) for his significant contributions to biochemical engineering.
He has also been honored for his active research contributions, publishing over 100 Scopus-indexed papers and authoring three influential books on biofuels and bioenergy.

🌍 Impact and Influence

Dr. Renganathan’s work has had a transformative impact on the scientific community and industry. His innovative projects, such as developing ultrasonic transesterification techniques for biodiesel production and green synthesis of nanoparticles, bridge the gap between research and real-world applications. His contributions extend globally through his collaborations and extensive publication record, comprising 179 journal articles and 18 book chapters.

💡 Legacy and Future Contributions

As a pioneer in biochemical engineering and biotechnology, Dr. Renganathan’s legacy is one of innovation and mentorship. His work not only advances scientific knowledge but also inspires the next generation of researchers to tackle global challenges in energy and sustainability. Moving forward, his focus on cutting-edge research, including microbial fuel cells and biofortification, promises to shape the future of green technology and sustainable development.

📝Publications

Journal 📝:
Title: “Green Synthesis of Silver Nanoparticles and their Effect on Cancer Cells”
Authors: S. Renganathan et al.
Published in: Journal of Nanomedicine
Journal 📝:
Title: “Production of Biodiesel Using Nano-Catalyst from Macroalgae”
Authors: S. Renganathan et al.
Published in: Renewable Energy Journal
Journal 📝:
Title: “Studies on Textile Dye Removal through Phytoremediation”
Authors: S. Renganathan et al.
Published in: Environmental Engineering Research

Dr Maria Akhtar | Knowledge management and innovation | Best Researcher Award

Published on 12/12/202412/12/2024 by Research Scientist

Dr Maria Akhtar | Knowledge management and innovation | Best Researcher Award

PhD Research Scholar at Zhengzhou University,China

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Early Academic Pursuits 🎓

Maria Akhtar’s academic journey is defined by a clear commitment to expanding her knowledge base and honing her skills across multiple disciplines. Beginning with a Bachelor’s in Business Administration (B.B.A.) from the University of Sargodha in 2020, Maria’s foundation in business administration provided a strong basis for her future academic pursuits. She further expanded her academic repertoire by earning a Bachelor’s in Economics from The Gomal University, gaining a holistic understanding of economics and business dynamics.

Maria’s academic pursuits then took a significant leap with her Master’s degree in Human Resource Management (MS) from the University of Sargodha. Her academic performance was exemplary, earning her a CGPA of 3.50/4.00. This degree allowed her to dive deep into the nuances of organizational behavior, leadership, and human resource strategies. Driven by a passion for cutting-edge research, Maria is now pursuing her PhD in Management Science and Engineering at Zhengzhou University in China, where she currently boasts a remarkable CGPA of 4.00/4.30. Her focus on digital leadership, sustainability, and technology in management promises to push boundaries in both academic and practical spheres.

Contributions and Research Focus 📚

Maria Akhtar’s contributions to the academic world have centered on exploring the impact of technology, leadership, and sustainability in business. Her research delves into the integration of digital leadership and technological innovation to drive organizational success and sustainability.
Her expertise also extends to examining the role of AI in enhancing business performance, leadership behaviors in corporate settings, and fostering innovation in SMEs (Small and Medium-sized Enterprises).
Her work includes studies on digital transformation, the impact of AI in the gig economy, leadership coaching, and knowledge management in organizational contexts. She is particularly focused on how leaders can leverage digital technologies and sustainability practices to innovate and drive change in business environments.

Accolades and Recognition 🏅

Maria’s exceptional research output and academic contributions have earned her considerable recognition. Her work has been published in various prestigious journals, including the Journal of Human-Computer Interaction, Global Knowledge Memory and Communication, and International Journal of Managing Projects in Business.

Impact and Influence 🌍

Maria Akhtar’s research is making a tangible impact on both academia and industry. Her studies on digital leadership, artificial intelligence (AI), and sustainability are especially timely, as businesses globally face increasing pressure to embrace technological advancements. Maria’s exploration of these topics provides actionable insights that can guide business leaders in the digital age, helping them adopt new technologies to drive innovation, sustainability, and long-term success.

Maria is actively involved in mentoring young scholars, offering them valuable guidance in the realm of research methodology, academic writing, and technology-driven leadership. She is also a frequent participant in academic conferences, where she shares her research findings, engages with industry leaders, and collaborates with like-minded scholars to address pressing global challenges. Her interdisciplinary approach—blending digital innovation with leadership theory and sustainability—sets her apart as a thought leader and an influencer in her field.

Legacy and Future Contributions 🔮

Maria Akhtar’s legacy in the academic world is bound to be profound. As she continues her PhD studies, her focus on digital leadership, AI, and sustainability will push the boundaries of current knowledge. Maria’s future contributions are expected to have a long-lasting impact on both academic theory and practical applications in business. She is poised to make substantial contributions to the growing intersection between technology and leadership, especially within the context of the gig economy, AI, and sustainability.

Publication Top Notes🌱

“Digitalization for a Sustainable Performance: Dual-Study Analysis of Digital Leadership, Circular Economy and Technological Innovation”
- Authors: Khan, A., Akhtar, M., Khan, A.
- Journal: Sustainability, MDPI (Under Production, 2024).
- 🌍 Focus: Role of digital leadership in fostering sustainable practices.
“Exploring the Impact of Entrepreneurs’ Personality on Innovation Performance: Role of Knowledge Creation Ability and Career Growth Opportunity in SMEs”
- Authors: Akhtar, M., Khan, A.
- Journal: Journal of Knowledge Economy (Under Production, 2024).
- 🚀 Focus: Entrepreneurial behavior and innovation.
“Leveraging Metaverse Knowledge in the Gig Economy: A Social Cognitive Perspective on Freelancer Engagement and Performance”
- Authors: Akhtar, M., Khan, A.
- Journal: Global Knowledge Memory and Communication (Under Production, 2024).
- 💡 Focus: Metaverse’s role in gig economy enhancement.
“Examining the Impact of Leadership Coaching Behavior on Team‐Level Knowledge Creation and Environmental Performance: A Social Exchange Theory Perspective”
- Authors: Khan, N. A., Bahaudur, W., Akhtar, M., Maialeh, R., & Pravdina, N.
- Journal: Business Ethics, the Environment & Responsibility (2024).
- 🌿 Focus: Leadership’s impact on team dynamics and sustainability.
“The Role of AI Self-Efficacy in Religious Contexts in Public Sector: The Social Cognitive Theory Perspective”
- Authors: Khan, N. A., Maialeh, R., Akhtar, M., & Ramzan, M.
- Journal: Public Organization Review (2024).
- 🤖 Focus: AI adoption in public religious settings.
“Gig Work Self-Efficacy and Its Effects on Flexibility, Career Adaptability, and Adoption in the Metaverse: A Moderated Mediation Model”
- Authors: Khan, N. A., Zhang, J., & Akhtar, M.
- Journal: International Journal of Human–Computer Interaction (2024).
- 🌌 Focus: Self-efficacy in digital gig work.
“AI-based Virtual Assistant and Transformational Leadership in Social Cognitive Theory Perspective: A Study of Team Innovation in Construction Industry”
- Authors: Hui, Z., Khan, N. A., & Akhtar, M.
- Journal: International Journal of Managing Projects in Business (2024).
- 🏗 Focus: AI tools in team innovation.
“Turning the Tide on Turnover: The Impact of Empowering Leadership on the Work-Family Spillover of Managers”
- Authors: Khan, N. A., Bahadur, W., Maialeh, R., Pravdina, N., & Akhtar, M.
- Journal: PLOS ONE (2023).
- 🌀 Focus: Leadership’s effect on work-life balance.
“Young Consumers’ Usability Preferences for Mobile and Computer Screens for Online Shopping Activities”
- Authors: Khan, S. K., Khan, N. A., Quratulain, Egorova, O., Zia, N., & Akhtar, M.
- Journal: Human Behavior and Emerging Technologies (2023).
- 🛒 Focus: Usability in online shopping.
“Drivers of Sustainability: Technological and Relational Factors Influencing Young Consumers’ Green Buying Intentions and Green Actual Consumption Behavior”
- Authors: Khan, N. A., Hassan, S., Pravdina, N., & Akhtar, M.
- Journal: Young Consumers (2023).
- 🌱 Focus: Factors influencing green consumerism.

Assoc. Prof. Dr Ahmed Godat | Structural Engineering | Best Researcher Award

Published on 11/12/202411/12/2024 by Research Scientist

Assoc. Prof. Dr Ahmed Godat | Structural Engineering | Best Researcher Award

Associate Professor at Ajman University,United Arab Emirates

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Early Academic Pursuits 🎓

Ahmed Godat, Ph.D., P.Eng, M.ASCE, began his academic journey with a strong foundation in Civil Engineering. He completed his Bachelor’s degree with First Class honors at Sudan University of Science and Technology in 1999. His exceptional performance continued through his postgraduate studies. He earned a Master of Science degree in Structural Engineering from Chalmers University of Technology in Sweden in 2003, where he investigated mechano-sorptive creep of modified wood. His passion for structural engineering culminated in a Ph.D. from the Université de Sherbrooke in Québec, Canada, in 2008, where he conducted groundbreaking research on the numerical modeling of externally shear-strengthened reinforced concrete beams using fiber-reinforced polymers (FRP).

Professional Endeavors and Teaching Experience 🏫

Dr. Godat has built an impressive career, combining teaching, research, and professional engineering. He currently serves as an Associate Professor at Ajman University in the Department of Civil and Environmental Engineering.
Over the years, he has taught various undergraduate and graduate courses in civil engineering, including topics such as reinforced concrete design, geotechnical engineering, and construction management.
His dedication to student development and effective teaching has earned him multiple accolades, including the Excellence Award in Teaching from UAEU in 2021.
Previously, he held positions at prestigious institutions such as United Arab Emirates University, where he supervised postgraduate students and contributed to the university’s research profile. His teaching approach is deeply integrated with cutting-edge research, ensuring students are exposed to the latest industry advancements.

Contributions and Research Focus 🔬

Dr. Godat’s research is at the forefront of structural engineering, focusing on the rehabilitation of existing structures and the use of innovative materials such as fiber-reinforced polymers (FRP) for strengthening and improving structural integrity.
He is also heavily involved in finite element simulation of structures and the application of artificial intelligence and Monte Carlo simulations in structural design. His work aims to push the boundaries of current construction practices by enhancing the safety and sustainability of engineering structures.
As an academic researcher, Dr. Godat has contributed significantly to peer-reviewed journals and has received multiple research grants. His work, particularly in the development of design equations for advanced materials, is well-regarded internationally.

Accolades and Recognition 🏅

Dr. Godat’s exceptional contributions to the field have been recognized by multiple prestigious organizations. Some of his accolades include the Excellent Oral Presentation award at the 3rd International Civil Engineering and Architecture Conference in Kyoto (2023), the Mirko Roš Medal for the best conference paper at CICE2008 in Zurich, and the FQRNT Postdoctoral Fellowship from 2010-2012. His research achievements have also earned him UAEU Research Awards for publishing in top-tier journals multiple times between 2017 and 2020.

Impact and Influence 🌍

Dr. Godat’s impact extends beyond academia. His expertise in structural engineering has influenced both the academic and professional sectors, especially in the application of FRP in civil infrastructure. His involvement in various professional bodies, such as the International Federation for Structural Concrete and the American Society of Civil Engineers (ASCE), has allowed him to shape global practices and trends in the field. Moreover, his work as a reviewer for numerous journals and conferences further solidifies his reputation as a thought leader in the industry.

Legacy and Future Contributions 🌱

Dr. Godat’s legacy is marked by his dedication to advancing civil engineering knowledge and his commitment to mentoring the next generation of engineers.
His future contributions will likely continue to push the boundaries of structural engineering, especially in the integration of artificial intelligence in design and construction practices.
As he continues his work at Ajman University, his focus on research and innovation will likely inspire both his students and peers, shaping the future of structural engineering in the UAE and beyond.
With his ongoing research and leadership in the field, Dr. Godat is poised to make lasting contributions to the evolution of sustainable and resilient infrastructure.

Publication Top Notes 📰

1.“Numerical Modeling of Externally Shear-Strengthened Reinforced Concrete Beams Using Fiber Reinforced Polymers”
👨‍🏫 Author(s): Ahmed Godat
📰 Journal: Computers and Structures
📅 Year: 2014

2.”Finite Element Simulation of Fatigue Behavior of Externally Shear-Strengthened Reinforced Concrete Beams Using Fiber Reinforced Polymers”
👨‍🏫 Author(s): Ahmed Godat, Nagwa Fares
📰 Journal: Journal of Structural Engineering
📅 Year: 2022

3.“Experimental Investigation of Mechano-Sorptive Creep of Modified Wood”
👨‍🏫 Author(s): Ahmed Godat
📰 Journal: Wood Science and Technology
📅 Year: 2003

4.”Development of Design Equations for FRP-Strengthened Structures Using Artificial Intelligence and Monte-Carlo Simulation”
👨‍🏫 Author(s): Ahmed Godat, Omar Chaallal
📰 Journal: Journal of Composites for Construction
📅 Year: 2019

5.”Finite Element Modeling of FRP-Strengthened Structures”
👨‍🏫 Author(s): Ahmed Godat, Frédéric Légeron
📰 Journal: Structural Engineering International
📅 Year: 2013

Assist. Prof. Dr Monika Chaudhary | Waste water treatment | Best Researcher Award

Published on 11/12/202417/12/2024 by Research Scientist

Assist. Prof. Dr Monika Chaudhary | Waste water treatment | Best Researcher Award

Assistant Professor at Hariom Saraswati P.G. College, Dhanauri, haridwar, Uttarakhand, India

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🎓Early Academic Pursuits

Dr. Monika Chaudhary’s academic journey began with a solid foundation in chemistry. She completed her Bachelor’s degree in Chemistry, Botany, and Zoology at Kurukshetra University in 2005, followed by a Master’s in Chemistry with a focus on Inorganic Chemistry in 2007. Her passion for research led her to pursue a Ph.D. in Chemistry at Gurukula Kangri University, Haridwar, where she completed her thesis on the removal of dyes and phenols using activated carbon derived from kraft lignin. This academic pursuit laid the groundwork for her research in environmental chemistry and sustainable material development.

💼Professional Endeavors

Dr. Chaudhary has accumulated over a decade of experience in teaching and research. She initially worked as an Assistant Professor at Geeta Engineering College, Panipat, where she taught from 2008 to 2011. Since 2022, she has been serving as an Assistant Professor in the Department of Chemistry at Hariom Saraswati P.G. College, Haridwar. Her teaching expertise spans Physical Chemistry, Inorganic Chemistry, Spectroscopy, Analytical Methods, and the Chemistry of Biological Systems, fostering a strong academic environment for her students.

🔬Contributions and Research Focus

Dr. Chaudhary’s research is centered around sustainable chemistry, particularly the development of adsorbents from biomass for environmental remediation. Her focus areas include adsorption and biosorption, renewable biomass characterization, water treatment, and energy storage. Her research contributions have been pivotal in developing low-cost adsorbents using hydrothermal treatments, as well as advancing the study of emerging contaminants. She has co-authored over 20 research papers and book chapters, with a citation count exceeding 1199, contributing significantly to the field of environmental science.

🏅Accolades and Recognition

Dr. Chaudhary’s excellence in research and academics has earned her numerous awards. She received the prestigious INSPIRE-DST national fellowship and was recognized as the Best Researcher in 2023 by S.N.N. Government Degree College, Uttarakhand. She also won accolades for her presentations at various international and national conferences, including prizes for her poster and paper presentations at events such as the RABPS-2015 and the E-Waste Management conference in 2022. These recognitions underline her influence and commitment to scientific advancement.

🌍Impact and Influence

Dr. Chaudhary’s work has had a profound impact on environmental science, particularly in the field of waste management and water purification. Her pioneering research on activated carbon and low-cost adsorbents is contributing to sustainable solutions for removing pollutants from water resources. Her publications in high-impact journals and her collaborative work with other researchers have helped shape the discourse in environmental remediation, making her an influential figure in her field.

🔮Legacy and Future Contributions

Dr. Chaudhary’s legacy is one of innovation and dedication to sustainable chemistry. Her ongoing work promises to lead to further advancements in water treatment and pollution control. As she continues her research, she aims to develop more efficient, cost-effective methods for environmental remediation and energy storage, contributing to a cleaner and more sustainable future. Her contributions to academia, research, and her active role in conferences and workshops ensure her continued influence in the scientific community.

Publication Top Notes📰

“The impact of nano additives in corn oil biodiesel used in combustion engines on the environment”
👨‍🔬 Raviteja Surakasi, K. Ch. Sekhar, M. Jayakrishna, Rapaka Jagadees, D Bhanuchandra Rao, Iván Leandro Rodríguez Rico
📰 Journal of Engineering and Technology for Industrial Applications
📅 2024
“Environmental effects of biodiesel engines fuelled by waste cooking oil and metal nano additives”
👨‍🔬 Sekhar, K.; Pakalapati, R.; Mugada B.; Kalluri, A.; Surakari, R.; Rodríguez Rico, I.
📰 Journal of Engineering and Technology for Industrial Applications
📅 2024
“Scale up by mathematical modeling of anaerobic reactors for yeast wastewater treatment”
👨‍🔬 Iglesias Barreto, G.; Rodríguez Rico, I.
📰 Journal of Engineering and Technology for Industrial Applications
📅 2023
“Caracterización de residuos agroindustriales y su aplicación en la remoción de azul de metileno en soluciones acuosas por adsorción”
👨‍🔬 María Hertha Broche Galindo; Iván Leandro Rodríguez Rico; Yadiel Rafael Alea Martínez
📰 Afinidad
📅 2022
“Evaluation of mass transfer in packed column for competitive adsorption of Tartrazine and Brilliant Blue FCF: A statistical analysis”
👨‍🔬 Kevin Jhon Fernández Andrade; María Cristina González Vargas; Iván Leandro Rodríguez Rico; Enrique Ruiz Reyes; Luis Santiago Quiroz Fernández; Ricardo José Baquerizo Crespo; Joan Manuel Rodríguez Díaz
📰 Results in Engineering
📅 2022
“Garlic Peel Surface Modification and Fixed-Bed Column Investigations towards Crystal Violet Dye”
👨‍🔬 E. Pravin Raaj, K. Bhuvaneshwari, R. Lakshmipathy, V. Vandhana Devi, Ivan Leandro Rodríguez Rico
📰 Hindawi Adsorption Science & Technology
📅 2022
“Modeling and Optimization of 1-Kestose Production by Schedonorus arundinaceus 1-SST”
👨‍🔬 Duniesky Martínez, Roberto J. Cabrera, Iván Rodríguez, Carmen Menéndez, Alina Sobrino, Lázaro Hernández, Enrique R. Pérez
📰 Journal of Microbial Biochemical Technology
📅 2022

Assist. Prof. Dr Srinivasa Rao Pedapati | material processing | Best Researcher Award

Published on 10/12/202410/12/2024 by Research Scientist

Assist. Prof. Dr Srinivasa Rao Pedapati | material processing| Best Researcher Award

Assistant Professor at The University of Texas Permian Basin,United States

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Early Academic Pursuits 🎓

Dr. Srinivasa Rao Pedapati’s academic journey began in India, where he earned his B.Tech in Mechanical Engineering from Nagarjuna University. His passion for engineering deepened during his M.Tech studies at NIT Warangal with a focus on Design and Production Engineering. Later, he pursued a Ph.D. in Mechanical Engineering from the Indian Institute of Technology (IIT) Kharagpur, where his research on arc rotation mechanisms and pulsed GMA welding laid the foundation for his future contributions to welding technologies.

Contributions and Research Focus 🔬

Dr. Pedapati’s research focuses on welding technologies, particularly Friction Stir Welding (FSW), and pipeline condition prediction. His pioneering work includes developing arc rotation mechanisms for improved weld joints, contributing significantly to oil and gas pipeline integrity. He has led 8 funded research projects and published 102 papers, contributing to advancements in material science, manufacturing processes, and sustainable technologies.

Accolades and Recognition 🏆

With 102 research publications and multiple patents, Dr. Pedapati is recognized as an authority in his field. He has supervised 7 Ph.D. students and earned numerous awards for his research. His leadership extends to serving as guest editor for journals and board member for academic publications. His work continues to impact the engineering community globally.

Impact and Influence 🌟

Dr. Pedapati’s influence extends beyond research to education, having taught over 5000 students worldwide. His contributions to curriculum development, particularly in Outcome-Based Education (OBE), have enhanced academic standards at several institutions. His research on electric vehicle composites promises to revolutionize material science and sustainability in the automotive industry.

Legacy and Future Contributions 🌱

Dr. Pedapati’s legacy lies in his groundbreaking work in welding technology and materials science, particularly in applications for electric vehicles and pipeline integrity. His future research will continue to shape sustainable manufacturing processes, impacting industries like automotive and energy, while mentoring the next generation of engineers.

Publications 📚

Improving weld bead characteristics in pulsed GMA Welding using automated rotating arc mechanism
- Author: Srinivasa Rao Pedapati
- Journal: AICTE Journal of Welding Technology
- Year: 2008
- 🛠️ Focus: Enhanced weld bead quality through arc rotation mechanism.
Investigation of optimum welding parameters for offshore oil and gas pipeline welding using soft computing techniques
- Author: Srinivasa Rao Pedapati, co-authors
- Journal: International Journal of Offshore and Polar Engineering
- Year: 2016
- 🌊 Focus: Welding parameter optimization for oil & gas pipelines.
Thermo-Mechanical Modelling of Friction Stir Processed Light Weight AZ91 Hybrid Composites for EV applications
- Author: Srinivasa Rao Pedapati, co-authors
- Journal: Materials Science and Engineering: A
- Year: 2023
- ⚡ Focus: Research on lightweight composites for electric vehicle applications.
Prediction Models for oil and gas pipeline condition using ANN techniques
- Author: Srinivasa Rao Pedapati, co-authors
- Journal: Journal of Computational and Applied Engineering
- Year: 2019
- 🛢️ Focus: Predictive modeling for pipeline condition monitoring using AI.
Investigation on Underwater Friction Stir Welding of Aluminum Alloys and Modelling for high joint strength
- Author: Srinivasa Rao Pedapati, co-authors
- Journal: International Journal of Advanced Manufacturing Technology
- Year: 2018
- 🐋 Focus: Underwater welding techniques for improving joint strength.
Long distance oil and gas pipeline failure rate prediction based on fuzzy neural network model
- Author: Srinivasa Rao Pedapati, co-authors
- Journal: Computers and Chemical Engineering
- Year: 2020
- ⚠️ Focus: Predictive maintenance for long-distance oil and gas pipelines using fuzzy logic.
Investigation of Flow Patterns due to Void fraction and Liquid hold up in large diameter multiphase transient pipelines
- Author: Srinivasa Rao Pedapati, co-authors
- Journal: Journal of Energy Resources Technology
- Year: 2023
- 🌐 Focus: Multiphase flow behavior in pipelines for energy transport.
Characterization and Parameter Optimization of Friction Stir Processed AA7075 Hybrid Surface Composites
- Author: Srinivasa Rao Pedapati, co-authors
- Journal: Materials and Manufacturing Processes
- Year: 2021
- 🔧 Focus: Friction stir processing optimization for aluminum alloys.
Experimental Investigation on Improvement of Mechanical Properties of DP590 Steel Joint Using Double Pulse Resistance Spot Welding
- Author: Imtiaz Ali, Srinivasa Rao Pedapati (Supervisor)
- Journal: Welding Journal
- Year: 2022
- 🛠️ Focus: Steel joint improvement using advanced welding techniques.
Explainable Anomaly Detection and Failure Prognostic of Gas Turbine Using Bayesian LSTM with Model Agnostic Explainability
- Author: Ahmad Kamal, Srinivasa Rao Pedapati (Supervisor)
- Journal: Journal of Aerospace Technology and Management
- Year: 2023
- ✈️ Focus: Gas turbine failure prediction using AI and machine learning models.

Dr Srinivasa Rao Tanneeru | Mechanical Engineering | Best Researcher Award

Published on 07/12/202407/12/2024 by Research Scientist

Dr Srinivasa Rao Tanneeru | Mechanical Engineering | Best Researcher Award

Professor & HoD at Vasireddy Venkatadri Institute of Technology,India

Dr. T. Srinivasa Rao is a distinguished Professor in the Department of Mechanical Engineering at Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, with over 23 years of teaching experience. His expertise spans Experimental Gas Dynamics, Jet Control Techniques, and Thermodynamic Analysis of Power and Refrigeration Cycles. Dr. Rao has made significant contributions to research, especially in areas such as High-Speed Co-Flow Jets and Alternate Fuels for I.C. Engines. His work also focuses on enhancing the efficiency of supersonic combustors and reducing jet noise. 🛠️💡

Profile

Google Scholar

Early Academic Pursuits 🎓

Dr. T. Srinivasa Rao’s academic journey began with a strong foundation in mechanical engineering. He completed his Bachelor’s degree in Mechanical Engineering at Bapatla Engineering College, Bapatla, Andhra Pradesh, in 1996. His pursuit of advanced studies continued as he earned a Master of Engineering (M.E.) degree from PDA College of Engineering, Gulbarga University, where he specialized in the investigation of boiler tube failures at the VTPS, Vijayawada. His keen interest in engineering research led him to pursue a Doctor of Philosophy (Ph.D.) at the University College of Engineering, Jawaharlal Nehru Technological University (JNTU), Kakinada, from 2009 to 2015. His Ph.D. thesis, focused on “Characteristics of High-Speed Co-Flow Jets,” delved into improving the efficiency of supersonic combustors and controlling high-speed jet noise through innovative passive controls.

Professional Endeavors 🛠️

Dr. Srinivasa Rao has an extensive career spanning over 23 years in teaching and research. He has held positions as an Assistant Professor, Associate Professor, and now as a Professor in the Department of Mechanical Engineering at Vasireddy Venkatadri Institute of Technology, Guntur. Throughout his career, he has been a dedicated educator, imparting knowledge in diverse areas of mechanical engineering such as Thermodynamics, Fluid Mechanics, Heat Transfer, Refrigeration, and Power Plant Engineering. Dr. Rao has also contributed significantly to the growth of the institutions he has worked with, ensuring that students receive top-tier education and hands-on experience in advanced engineering topics.

Contributions and Research Focus 🔬

Dr. Srinivasa Rao’s research interests primarily lie in the fields of experimental gas dynamics, jet control techniques, thermodynamic analysis, and alternate fuels for internal combustion engines. His extensive research has resulted in numerous publications in reputed international journals, contributing to advancements in engineering. Notably, his Ph.D. dissertation on the enhancement of high-speed co-flow jets has played a crucial role in improving the efficiency of supersonic jets. His work also extends to flow visualization studies for both low-speed and high-speed flows, alongside research into novel materials and their application in energy systems, particularly in enhancing the performance of heat exchangers and renewable energy technologies.

Accolades and Recognition 🏅

Dr. Rao’s scholarly contributions have earned him significant recognition within the academic and professional engineering communities. He is a Fellow of the Royal Aeronautical Society, reflecting his outstanding contributions to aerospace engineering. Furthermore, his research is regularly published in high-impact journals, often cited by scholars and practitioners alike. His work in thermodynamics, alternative fuels, and gas dynamics has earned him accolades in the form of citations and awards for excellence in research and innovation.

Impact and Influence 🌍

Dr. Srinivasa Rao’s research has had a profound impact on the development of sustainable technologies in the field of mechanical engineering. His work on alternative fuels, particularly in the context of biodiesel and its performance in diesel engines, has contributed to the ongoing global push for environmentally friendly energy solutions. Moreover, his research on jet flow control and thermodynamics continues to influence advancements in aerospace, energy systems, and mechanical engineering education. As a teacher and mentor, Dr. Rao has also shaped the careers of numerous students who have gone on to make their own contributions to engineering fields.

Legacy and Future Contributions 🔮

Dr. Srinivasa Rao’s legacy is firmly rooted in both his innovative research and his role as an educator who has significantly impacted the academic community. As he continues his career, his focus on experimental studies and cutting-edge technologies in gas dynamics, alternative fuels, and energy systems will undoubtedly lead to new solutions in sustainable engineering. His future contributions are likely to include further advancements in the optimization of energy systems, enhancing the efficiency of renewable energy solutions, and shaping the future generation of engineers. Dr. Rao’s ongoing commitment to research and education ensures that his influence will be felt for many years to come.

Top Publications and Citations 📖

“Experimental Investigation and Machine Learning Modeling of Tribological Characteristics of AZ31/B4C/GNPs Hybrid Composites”
Crystals, MDPI (SCI), 2024, 14, 1007📅
Cited by: 15+
“Tribological and Mechanical Properties of AI 6061/SiC/GO Hybrid Composites Produced with Stir Casting”
Journal of Mines, Metals and Fuels, 2023, Vol 71 (9), PP 1262-1270 📅
Cited by: 10+
“Augmentation of Oxidation Stability of Biodiesel and Investigation on Diesel Engine Characteristics Fuelled With Tamarind Biodiesel”
AIP Publishing (Scopus Indexed), 2023, Volume 2810, Issue 1 📅
Cited by: 5+
“Experimental Assessment of Diverse Diesel Engine Characteristics Fueled with an Oxygenated Fuel Added Lemon Peel Biodiesel Blends”
FUEL Journal, Elsevier, 2022📅
Cited by: 20+
“Effect of Eccentricity on Co-Flow Jet Characteristics”
Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, Springer, 2021 📅
Cited by: 30+

Dr wei Zhou | Biomedical signal processing, deep learning, sleep | Best Researcher Award

Published on 07/12/202407/12/2024 by Research Scientist

Dr wei Zhou | Biomedical signal processing, deep learning, sleep | Best Researcher Award

Lecturer at Nanjing University of Information Science and Technology,China

👨‍🏫 Wei Zhou is a Lecturer at Nanjing University of Information Science and Technology. A graduate of Fudan University, he specializes in automatic sleep stage scoring. With a focus on machine learning and artificial intelligence, he develops advanced algorithms to enhance sleep analysis, aiming for greater accuracy in diagnosing sleep disorders.

Publication Profile

Orcid

Early Academic Pursuits🎓

Wei Zhou’s academic journey began at Fudan University, one of China’s most prestigious institutions. His early years were marked by a deep interest in biomedical signal processing and artificial intelligence, setting the foundation for his innovative research. His education equipped him with the tools needed to explore the intersection of technology and health, particularly in the realm of sleep analysis. Driven by a passion for improving health outcomes, he embarked on a path that would eventually lead to groundbreaking work in automatic sleep stage scoring.

Professional Endeavors💼

After completing his graduate studies, Wei Zhou took on the role of Lecturer at Nanjing University of Information Science and Technology. Here, he combined his expertise in machine learning and artificial intelligence to teach and guide the next generation of researchers. As an academic professional, Zhou has been at the forefront of sleep research, focusing on the development of advanced algorithms for more accurate sleep stage classification. His contributions to the field have earned him respect and recognition within both academic and industry circles, particularly in the realm of biomedical signal processing.

Contributions and Research Focus🔬

Wei Zhou’s research centers on the use of machine learning and deep learning techniques in sleep analysis. He has pioneered the integration of multimodal heterogeneous data, including EEG, EOG, and EMG signals, to develop algorithms that improve the accuracy of sleep staging. His contributions are not just technical; they have practical implications for improving sleep health management and creating personalized interventions for individuals with sleep disorders. His work is helping to shape the future of healthcare by enabling more precise and data-driven approaches to sleep medicine.

Accolades and Recognition🏅

Zhou’s groundbreaking work has not gone unnoticed. With a citation index of 54 and multiple published articles in top journals, he has earned recognition as an emerging leader in the field of sleep research. His efforts have earned him collaborations with leading researchers and a growing network of professional connections. The impact of his research continues to expand as it contributes to both academic discourse and the development of clinical applications, solidifying his reputation as an innovative and influential researcher.

Impact and Influence🌍

Wei Zhou’s influence extends beyond his academic role. His research on automatic sleep staging is making waves in the field of sleep medicine and artificial intelligence. By advancing the accuracy of sleep analysis, Zhou is helping to bridge the gap between technology and healthcare. His work has the potential to improve how sleep disorders are diagnosed and treated, influencing both clinical practices and future research directions. With the integration of AI, Zhou’s contributions stand as a testament to the transformative power of technology in healthcare.

Legacy and Future Contributions🚀

Looking ahead, Zhou’s legacy will be marked by his continued advancements in personalized sleep health management. His upcoming projects involve further refining his algorithms and exploring new ways to integrate AI for improved health interventions. As a researcher, he is committed to making a lasting impact on the field of biomedical engineering and sleep medicine. With ongoing patents and collaborations, Zhou is poised to remain at the forefront of innovative sleep analysis research, paving the way for the next generation of technological advancements in health.

Publication Top Notes💻

Zhou, W., et al. (2022). “Deep Learning for Sleep Stage Classification Using Multimodal Signals.” Journal of Biomedical Signal Processing and Control
Zhou, W., & Chen, W. (2021). “Machine Learning Algorithms for Sleep Disorder Detection.” IEEE Transactions on Biomedical Engineering
Zhou, W., et al. (2020). “Automatic Sleep Staging with EEG and EOG Signals.” Journal of Sleep Research
Zhou, W., & Ju, X. (2019). “A Novel Deep Learning Approach for Sleep Staging.” Neurocomputing
Zhou, W., et al. (2018). “Advances in Sleep Stage Classification Using AI Models.” IEEE Access

Assist. Prof. Dr Kesavan Nair Sreekantan Nair | Project Management | Best Researcher Award

Published on 06/12/2024 by Research Scientist

Dr Kesavan Nair Sreekantan Nair | Project Management | Best Researcher Award

Assistant Professor at Qassim University,Saudi Arabia

Dr. Kesavan Sreekantan Nair, with a Ph.D. in Economics specializing in health economics, serves as Head of Quality Assurance at the College of Public Health & Health Informatics, Qassim University, Saudi Arabia. He teaches health economics, policies, health insurance, quality management, and more. Dr. Nair has over 50 publications in renowned journals and has worked on research funded by organizations such as the WHO, World Bank, and UNICEF. He has a vast experience in health economics, administration, and quality assurance in the health sector. 🌍

Publication Profile

Google Scholar

Early Academic Pursuits 📚

Dr. Kesavan Sreekantan Nair’s academic journey is distinguished by a deep commitment to economics, particularly in the realm of health economics. He earned a Ph.D. in Economics with a specialization in Health Economics from Jamia Millia Islamia (Central University) in New Delhi, India. This was preceded by a Master of Science in Health Economics from Chulalongkorn University in Bangkok, Thailand, a WHO Collaborating Centre for Health Economics in South East Asia. His academic foundation also includes a Master of Philosophy in Economics and a Master of Arts in Economics, both from Madurai Kamaraj University in India.

Professional Endeavors 🏥

Dr. Nair has built a distinguished career in health administration, primarily in academic and research roles. Since 2013, he has been serving as the Head of Quality Assurance and Assistant Professor in the Department of Health Administration at Qassim University, Saudi Arabia. His teaching spans various courses including health economics, health policies, health insurance, and healthcare quality management. In his role as Head of Quality Assurance, he has been instrumental in developing key documents and courses, enhancing the educational infrastructure within the College of Public Health & Health Informatics. Before his current role, he contributed to the National Institute of Health & Family Welfare in India, where he also held a position as Assistant Research Officer.

Contributions and Research Focus 🔬

Dr. Nair’s research focus lies in health economics, healthcare management, and health policies. Over the years, he has published more than 50 scientific papers in reputed journals and collaborated on several research projects funded by the World Health Organization (WHO), World Bank, UNICEF, USAID, and various state and national government bodies. His research has addressed issues such as healthcare financing, health insurance, healthcare service quality, and the economic impacts of public health policies. Dr. Nair has also worked as a specialist in health economics on Denmark Government-assisted projects and as an Officer on Special Duty with the Planning Commission of India.

Accolades and Recognition 🏅

Dr. Nair’s contributions to academia and research have been widely acknowledged. He was honored with the “Best Faculty Award” by the National Institute of Health & Family Welfare in India in 2009-2010. His academic excellence is reflected in his second-place ranking in his Master’s in Economics at Madurai Kamaraj University, as well as the Dr. J.D.K. Sunder Singh Memorial Award for his outstanding performance in the Bachelor of Economics program. Additionally, Dr. Nair has received prestigious fellowships from renowned global institutions such as the World Bank, WHO, and the British Council, which have supported his training and research in health economics.

Impact and Influence 🌍

Dr. Nair’s influence extends beyond academia into the realm of health policy and public health. His work has shaped healthcare policies, particularly in India, through his research and involvement in government projects. His research on healthcare financing and insurance has contributed to a deeper understanding of how economic factors affect public health delivery. His role in improving quality assurance in health education in Saudi Arabia is another testament to his impact on the global health landscape.

Legacy and Future Contributions 🔮

Dr. Nair’s legacy is defined by his unwavering commitment to improving healthcare systems through education, research, and policy advocacy. His pioneering work in health economics continues to shape academic curricula and inform policy discussions in countries like India and Saudi Arabia. Looking ahead, Dr. Nair plans to expand his research on health system financing and its role in achieving universal health coverage. His ongoing commitment to health economics promises to leave a lasting impact on both academic and practical domains of public health and healthcare management.

Publications Top Notes📉

Nair K.S (1998) – Household health expenditure of manual workers in unorganised sector-A study in south Delhi, Health and Population Perspectives and Issues, 21(1): 210-219.
Nair K.S and Dhingra R (1998) – Ability vs. willingness to pay for health care: an empirical study in south Delhi, Journal of Health and Population; Perspectives and Issues, 21(4): 329-305.
Mittra P, Nair K.S, and R. Gandotra (2000) – A study on client satisfaction of services provided by sub health centers in two districts of Andhra Pradesh, Journal of Health and Population; Perspectives and Issues, 23(2): 85-94.
Nair K.S (2001) – Cost of health care- a study of unorganised labour in Delhi, Journal of Health and Population; Perspectives and Issues, 24(2): 88-98.
Sharma B.B.L, Nair K.S, and T.Bir (2002) – National seminar on health insurance in India – current status and future directions: An overview, Journal of Health and Population; Perspectives and Issues, 25(1): 11-25.
Tiwari V.K and Nair K.S (2006) – Private health care in India, Health For the Millions, 32(6&7).
Nandan D and Nair K.S (2007) – Human resources for public health – Issues and Challenges, Journal of Health and Population; Perspectives and Issues, 30(4): 230-242.
Swain S, Swain P, Nair K.S, Dhar N, Gupta S, and D.Nandan (2008) – A rapid appraisal of functioning of ASHA under NRHM in Orissa, Health and Population Perspectives and Issues, 31(2): 73-79.
Malini S, Tripathi R.M, Khattar P, Nair K.S, Tekhre L, and N Dhar (2008) – A rapid appraisal on functioning of Janani Suraksha Yojana in South Orissa, Health and Population Perspectives and Issues, 31(2): 126-131. 🍼
Nair K.S, Raj S, and Tiwari V.K (2013) – Cost of treatment for cancer: experiences of patients in public hospitals in India, Asia Pacific Journal of Cancer Prevention, 14(9): 5049-5054.