Lata Kumari Pandey | Smart Materials | Best Researcher Award

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Lata Kumari Pandey | Smart Materials | Best Researcher Award

Ms. Lata Kumari Pandey is a passionate Ph.D. research scholar at IIIT Allahabad specializing in behavioral finance, fintech, and digital payment systems πŸ“ŠπŸ’». She has qualified JRF (99.98 percentile), NET (twice), and WBSET (Rank 4), showcasing her academic brilliance πŸŽ“πŸ“š. Lata has published in SSCI and SCOPUS Q1 journals and holds both a design and a utility patent related to fintech innovation πŸ”¬πŸ“‘. She actively presents at global conferences and co-authors interdisciplinary book chapters 🌐✍️. With a growing academic footprint and innovation-driven mindset, she exemplifies a future leader in finance research and technology integration πŸš€πŸ“ˆ.

Ms Lata Kumari Pandey, Indian Institute of Information Technology, Allahabad, India

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πŸŽ“ Education

Ms. Lata Kumari Pandey has maintained a strong academic record throughout her educational journey πŸ†πŸ“š. She completed her 10th and 12th under the ICSE and ISC boards in Delhi with first-class distinction, scoring 79% and 82.66% respectively πŸ“πŸ«. She earned her B.Com (Hons) from Burdwan University with 68.99% and an M.Com from Kazi Nazrul Islam University with 78.81%, both in first class πŸ“ŠπŸŽ“. Currently, she is pursuing her Ph.D. in Management Studies at the prestigious Indian Institute of Information Technology Allahabad, focusing on digital finance and behavioral economics πŸ”πŸ’Ό.

πŸ“š Book Chapter

Ms. Lata Kumari Pandey has co-authored impactful book chapters that reflect her expertise in data analytics, behavioral finance, and financial technology πŸ“ˆπŸ”. Her work includes a data mining-based analysis of customer reviews on payment apps published in a Springer Nature conference proceeding πŸ’¬πŸ“Š, and a credit card fraud detection study using discriminant analysis presented at the K.J. Somaiya Business Analytics Conference πŸ’³πŸ§ . She also contributed to a BLOOMSBURY publication examining heuristics and herding behavior in millennial investment decisions πŸ§‘β€πŸ’ΌπŸ’‘. These interdisciplinary contributions highlight her academic versatility and real-world relevance in finance and technology πŸ“˜πŸŒ.

🎀 Conference Presentations

Ms. Lata Kumari Pandey has presented eight impactful research papers at prominent national and international conferences 🧠🌍. Her presentations span topics such as credit card fraud detection, digital payment adoption, influence of YouTube on investments, and WhatsApp Pay awareness πŸ’³πŸ“±. These include conferences hosted by IIIT Allahabad, IIT Guwahati, Manipur University, and Pacific University, and publications through IEEE Xplore and Springer πŸŽ“πŸ“Š. Her work highlights innovation in behavioral finance and fintech, reflecting her strong communication skills and scholarly engagement with cutting-edge themes in finance and digital technology πŸ”πŸ’‘.

πŸ›‘οΈ Innovation and Patent

Ms. Lata Kumari Pandey has demonstrated strong innovative capabilities through her contributions to two cutting-edge patents in the fintech domain πŸ§ πŸ’³. She is a co-inventor of a Design Patent titled Social Media Payment Platform Integration Device (2025), aimed at seamless financial transactions via social media platforms πŸ“²πŸ”—. She also co-authored a Utility Patent, Multi-Platform Social Media and Payment Integration Hub with Advanced Security Features and AI-Driven Fraud Detection (2025, Application No. 202411077943 A) πŸ€–πŸ”. These patents highlight her applied research excellence and vision for secure, tech-integrated financial ecosystems πŸš€πŸ’Ό.

πŸ”¬ Research Focus

Ms. Lata Kumari Pandey’s research centers on behavioral finance, fintech adoption, and digital payment technologies πŸ“±πŸ’Ή. Her work explores how individuals perceive risk in cryptocurrency, adopt social media payment platforms, and respond to fintech innovations like e-gold and influencer-driven investments πŸ’‘πŸ“ˆ. She uses both qualitative and quantitative approaches, including social network analysis and systematic literature reviews, to study user behavior and digital finance ecosystems πŸ”πŸ§ . Publishing in top-tier SSCI and SCOPUS Q1 journals, her research contributes to understanding modern financial behaviors, digital trust, and the evolving relationship between technology and financial decision-making πŸŒπŸ’³.

πŸ“˜ Publications

Factor Affecting the Risk Perception of Cryptocurrency Investor
Authors: Bhattacharjee Jayshree, Pandey Lata Kumari, Singh Ranjit, Baker H. Kent
Journal: Journal of Behavioral Finance (SSCI, ABDC ‘A’, SCOPUS Q1, IF-1.7)

Measuring Awareness about Mutual Funds: A Study on Bank Employees in Tripura
Authors: Deb Sujit, Singh Ranjit, Pandey Lata Kumari, Yadav Vibha, Deb Sankha Subhra
Journal: International Journal of Accounting & Finance Review (ABDC β€˜C’ Category)

Unravelling the Determinants of Social Media Payment Platform (SMPP) Usage: A Qualitative Study on User Intention and Adoption
Authors: Pandey Lata Kumari, Bhattacharjee Jayshree, Singh Ranjit, Singh Ambrish
Journal: Bangladesh Journal of Multidisciplinary Scientific Research (SCOPUS Q3)
πŸ“±πŸ”πŸ‘₯

Β Beyond the Screen: How YouTube Influencers Shape Equity Investment Decisions
Authors: Pandey Lata Kumari, Singh Ranjit, Baker H. Kent, Rahman Habibur Laskar
Journal: Journal of Theoretical and Applied Electronic Commerce Research (SSCI, ABDC ‘B’, SCOPUS Q1, IF-5.6)
πŸ“ΊπŸ“ˆπŸŽ―

Adopting Social Media Payment Platforms: A Systematic Literature Review and Future Research Agenda
Authors: Pandey Lata Kumari, Singh Ranjit, Singh Ambrish
Journal: Academy of Marketing Studies Journal (ABDC ‘B’)
πŸ“–πŸ’³πŸ§Ύ

Factor Affecting Social Media Payment Platforms: A Social Network Analysis Approach
Authors: Pandey Lata Kumari, Singh Ranjit, Baker H. Kent, Singh Ambrish
Journal: Journal of Service Theory and Practice (ABDC ‘A’, SSCI, SCOPUS Q1, IF-4.9)
πŸ”—πŸ“‘πŸ“Š

Fintech Adoption and Dispositional Innovativeness in E-Gold Investment: Evidence from India
Authors: Pandey Lata Kumari, Bhattacharjee Jayshree, Singh Ranjit, Baker H. Kent, Rohit Kumar Sharma
Journal: Journal of Theoretical and Applied Electronic Commerce Research (SSCI, ABDC ‘B’, SCOPUS Q1, IF-5.6)
πŸͺ™πŸ’‘πŸ“‰

Mr Qiusheng Shi | Materials Science | Best Researcher Award

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Mr Qiusheng Shi | Materials Science | Best Researcher Award

Mr. Qiusheng Shi is a dedicated postgraduate researcher at the College of Optoelectronics Engineering, Chongqing University πŸ“‘. His research focuses on smart materials, point defects, and doping mechanisms to enhance photoelectric and mechanical properties of materials for flexible sensor applications πŸ€–. His work on pentagonal-BCN materials contributes to next-generation optoelectronic devices and energy-efficient technologies ⚑. He has published in the Journal of Solid State Chemistry, demonstrating his commitment to scientific innovation πŸ“–. His expertise in materials characterization, nanotechnology, and optoelectronics positions him as a rising talent in smart material engineering 🌍.

Mr Qiusheng Shi, College of Optoelectronics Engineering, Chongqing University, China

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Education πŸŽ“

Mr. Qiusheng Shi is a graduate student at the School of Optical and Electronic Engineering, Chongqing University πŸ“‘. His research focuses on smart materials and structures, with applications in flexible electronics, sensors, and optoelectronic devices πŸ€–. He specializes in material doping, point defects, and their influence on photoelectric and mechanical properties ⚑. His academic journey has equipped him with advanced knowledge in material science, nanotechnology, and optoelectronics πŸ”¬. As an emerging researcher, he is committed to developing next-generation energy-efficient and intelligent material systems for industrial and technological advancements πŸ†.

Research and Innovations πŸ”¬

Mr. Shi’s research primarily explores doping and point defects to regulate the photoelectric and mechanical properties of pentagonal-BCN. His completed research includes:
βœ… Investigation of smart materials for flexible sensor applications πŸ€–
βœ… Study of photoelectric properties in doped materials πŸ”†
βœ… Contributions to the understanding of point defects in BCN-based materials πŸ—οΈ
βœ… Advancement of mechanical property optimization through nanostructuring βš™οΈ

His work supports the next-generation electronic and optoelectronic materials, contributing to flexible and energy-efficient device applications.

Contributions πŸ›οΈ

While Mr. Shi is an early-career researcher, his work has significant implications for flexible electronics and material applications. His contributions include:
πŸ“‘ Development of smart materials for sensor technologies
πŸ“– Enhancing understanding of BCN-based material defects
πŸ› οΈ Potential applications in energy-efficient and flexible electronics

His research lays a foundation for future innovations in material science and engineering.

Research Focus πŸ”¬

Mr. Qiusheng Shi’s research focuses on smart materials and structures, particularly in doping and point defects to regulate the photoelectric and mechanical properties of pentagonal-BCN πŸ—οΈ. His work explores novel material modifications to enhance optical, electrical, and mechanical performance for next-generation flexible sensors and optoelectronic devices πŸ“‘. Through nanostructuring and material engineering, he aims to develop energy-efficient, highly durable smart materials πŸ”†. His published work in the Journal of Solid State Chemistry highlights significant advancements in material optimization for flexible electronics, wearables, and intelligent material systems, contributing to the future of optoelectronic applications πŸ€–.

Notable Publication πŸ“š

Prof. Dr Abdelkhalek kammouni | Materials Science | Best Researcher Award

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Prof. Dr Abdelkhalek kammouni | Materials Science | Best Researcher Award

Prof. Dr. Abdelkhalek Kammouni is a leading researcher in materials science, nanotechnology, and sustainable engineering. Currently a Professor of Higher Education at Moulay IsmaΓ―l University, Morocco, he holds a Ph.D. in Materials Science from Paul CΓ©zanne University, France (2007) πŸŽ“. His expertise includes thermoelectric materials, composite materials, and advanced thin films. He has pioneered fire-resistant bio-based composites, non-destructive testing techniques, and energy-efficient material solutions βš‘πŸ—οΈ. With numerous SCI-indexed publications, international collaborations, and leadership in materials research, Prof. Kammouni’s innovations contribute to green energy, infrastructure safety, and sustainable material development πŸŒπŸ”¬. His impactful research makes him a top contender for the Best Researcher Award πŸ….

Prof. Dr Abdelkhalek kammouni, Faculty of Sciences, Morocco

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πŸŽ“ EducationΒ 

Prof. Dr. Abdelkhalek Kammouni has an extensive academic background in materials science, metallurgy, and computational modeling. He earned his Doctorate in Materials Science (2007) from Paul CΓ©zanne University, France, focusing on precipitation mechanisms and microstructural stability in TRIP steels πŸ—οΈ. In 2016, he received his Habilitation Universitaire in metallic and composite materials for environmental applications 🌱. He also holds a Master’s in Computer Science from INP Toulouse, a DiplΓ΄me d’Etudes Approfondies (DEA) in Processes and Materials from Perpignan University, and was appointed Professor of Higher Education in 2022 πŸ‘¨β€πŸ«. His diverse expertise bridges materials engineering, nanotechnology, and sustainability πŸ”¬βš‘.

πŸ‘¨β€πŸ« ExperienceΒ 

Prof. Dr. Abdelkhalek Kammouni is a permanent professor and researcher at Moulay IsmaΓ―l University, MeknΓ¨s, specializing in materials science, metallurgy, and nanotechnology πŸ—οΈ. From 2011-2017, he served as an Assistant Professor at the Γ‰cole Nationale SupΓ©rieure d’Arts et MΓ©tiers, Casablanca 🏫. He has conducted scientific research stays at IM2NP Marseille, INSA Lyon, and ENSCI Limoges (France) πŸ‡«πŸ‡·. His postdoctoral research at CP2M, France, focused on the influence of galvanization on bainitic steels. He has worked as an expert consultant for Sollac MΓ©diterranΓ©e, optimizing precipitation and microstructural properties of steels. His expertise bridges academia, industry, and advanced material characterization πŸ”¬βš‘.

πŸ“‘Research ProjectsΒ 

🌍 International Projects:
βœ… TOUBKAL Project (2025-2027, 2018-2021) – Development of bio-based fire-resistant composites in collaboration with CNRS France πŸ”₯.
βœ… Residential Research School (2024) – Research on functional nanostructured materials πŸ—οΈ.
βœ… FINCOM Project (2023, 2015) – Characterization of nanostructured materials ⚑.

πŸ›οΈ National Projects:
βœ… URL-CNRST (2020-2024) – Research on advanced materials 🏭.
βœ… UMI Project (2018-2022) – Thermal energy recycling for sustainability 🌱.

πŸ”¬ Research Focus

Prof. Dr. Abdelkhalek KammouniΒ research primarily focuses on materials characterization, microstructural analysis, and composite materials. Their work includes TEM-based local carbon concentration measurements in retained austenite, mechanical and thermal properties of natural fiber composites, and COβ‚‚ sensing using CuO/spinel thin films. They also study thermoelectric properties of Mg-Ag-Sb thin films, microalloyed steels, and historical lime mortars for self-healing properties. Their expertise spans nanomaterials, metallurgy, and environmental materials, contributing to advanced materials science for construction, aerospace, and energy applications. πŸ—οΈπŸ”¬βš‘πŸŒΏ

πŸ“š PublicationsΒ 

πŸ“– A methodology suitable for TEM local measurements of carbon concentration in retained austenite
πŸ‘¨β€πŸ”¬ Authors: A. Kammouni, W. Saikaly, M. Dumont, C. Marteau, X. Bano, A. CharaΓ―
πŸ“° Journal: Materials Characterization πŸ—οΈ (2008)

πŸ“– Effect of surface modification on morphological, mechanical, and thermal conductivity of hemp fiber: Characterization of the interface of hemp–Polyurethane composite
πŸ‘¨β€πŸ”¬ Authors: S. Sair, A. Oushabi, A. Kammouni, O. Tanane, Y. Abboud, H. F. Oudrhiri
πŸ“° Journal: Case Studies in Construction Materials 🏑 (2017)

πŸ“– COβ‚‚ sensing characteristics of CuO/Spinel thin films deposited on micro-heater
πŸ‘¨β€πŸ”¬ Authors: P. T. F. Oudrhiri-Hassani, L. Presmanes, A. Barnabe, A. Kammouni
πŸ“° Journal: Journal of Materials and Environmental Science 🌍 (2015)

πŸ“– Seebeck coefficient variations of Ξ±-MgAgSb in crystalline Mg-Ag-Sb thin films
πŸ‘¨β€πŸ”¬ Authors: N. Oueldna, A. Portavoce, M. Bertoglio, M. Descoins, A. Kammouni
πŸ“° Journal: Journal of Alloys and Compounds ⚑ (2023)

πŸ“– Investigation of historical lime mortars from the Chellah Mosque (Morocco): Mineralogical characterization and self-healing mechanisms of micro-cracks
πŸ‘¨β€πŸ”¬ Authors: N. Oulida, A. Kammouni, T. Lamhasni, M. Haddad, M. Ziani, S. A. Lyazidi
πŸ“° Journal: Construction and Building Materials πŸ›οΈ (2023)

His work spans nanomaterials, thermoelectrics, heritage conservation, and sustainable composites πŸ”₯🌱.

Assist. Prof. Dr Xanthoula Eirini Pantazi | Materials Science | Best Researcher Award

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Assist. Prof. Dr Xanthoula Eirini Pantazi | Materials Science | Best Researcher Award

🌾 Dr. Xanthoula Eirini Pantazi is an Assistant Professor at Aristotle University of Thessaloniki, specializing in precision agriculture, artificial intelligence, and biosystems engineering. πŸŽ“ She holds a Ph.D. in Biosystems Engineering and has contributed extensively to AI-driven agricultural solutions, machine learning, and sensor fusion. πŸš€ Dr. Pantazi has been involved in 20+ EU-funded projects, including Horizon 2020 initiatives. Her expertise spans decision support systems, UAV applications, and crop monitoring. 🌱 She has received prestigious scholarships and keynote speaker invitations at international conferences. πŸ† Her research continues to advance smart farming and sustainable agriculture. πŸŒπŸ“‘

Assist. Prof. Dr Xanthoula Eirini Pantazi Aristotle University of Thessaloniki, School of Agriculture Greece

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Research Expertise 🌾

Assist. Prof. Dr. Xanthoula Eirini Pantazi is a distinguished researcher in biosystems engineering, holding a Ph.D. in Biosystems Engineering from Aristotle University of Thessaloniki, Greece. πŸ›οΈ Her expertise lies in bio-inspired computational systems, data mining, and artificial intelligence applications in agriculture. πŸŒ±πŸ“Š Over the years, she has contributed to 20+ EU-funded research projects, serving as a coordinator and work package leader in multiple Horizon 2020, PRIMA, and ERANET projects. πŸš€ Dr. Pantazi has also authored 26 scientific papers, 9 book chapters, and the monograph “Intelligent Data Mining and Fusion Systems in Agriculture.” πŸ“–

ExperienceΒ πŸš€

Assist. Prof. Dr. Xanthoula Eirini Pantazi has an extensive academic and research background in precision agriculture and bio-systems engineering. Since 2020, she has been an Assistant Professor at the Faculty of Agriculture, Forestry, and Natural Environment at Aristotle University of Thessaloniki, Greece. πŸ›οΈ From 2016 to 2019, she worked as an Adjunct Lecturer, teaching undergraduate courses in agricultural engineering. πŸ“š Additionally, she served as a Research Engineer and Technical Manager at CERTH (2016-2020) and contributed to major EU-funded research projects as a Research Engineer at Aristotle University (2013-2020). πŸ”¬πŸŒΎ

Scholarly Contributions βœοΈπŸ”¬

Assist. Prof. Dr. Xanthoula Eirini Pantazi has significantly contributed to the field of precision agriculture and artificial intelligence through her numerous book chapters. Her work includes data fusion for soil and crop sensing, leaf disease recognition using machine learning, and hyperspectral sensing for weed and crop differentiation. πŸŒΎπŸ“‘ She has co-authored chapters in Springer and Wageningen Academic Publishers, focusing on AI applications in farming, sustainable agriculture, and bioinformatics. Her expertise in remote sensing, spectral data analysis, and machine learning models has helped develop innovative solutions for smart farming and soil health monitoring. πŸšœπŸ€–

πŸ“‘ Scientific Research πŸ”¬πŸŒΎ

Assist. Prof. Dr. Xanthoula Eirini Pantazi has led and contributed to numerous EU-funded and international research projects in precision agriculture, AI-driven crop monitoring, and smart farming solutions. As a principal investigator and work package leader, she has developed machine learning models for disease detection, decision support systems (DSS) for sustainable farming, and sensor fusion techniques for soil and crop health assessment. πŸš€πŸ“Š Her projects include Horizon 2020 initiatives (AfriCultuReS, SiEUSOIL, ATLAS, STARGATE), ICT-AGRI ERANET, and PRIMA projects. Her work integrates AI, robotics, and IoT-based solutions, advancing climate-resilient and precision-driven agricultural systems. πŸŒπŸ€–

Research Focus πŸ”βœ¨

Assist. Prof. Dr. Xanthoula Eirini Pantazi’s research focuses on applying machine learning, advanced sensing, and data fusion in agriculture πŸŒΎπŸ’». Key areas include crop yield prediction using machine learning and sensing techniques πŸ“ŠπŸŒ±, disease detection in plants through image analysis and spectroscopy πŸ¦ πŸ”¬, and weed recognition using hyperspectral sensing and UAV imagery 🚁🌾. She also works on soil health monitoring and water stress detection using multisensor fusion πŸ’§πŸŒ. Dr. Pantazi’s contributions aim to optimize agricultural practices through innovative technologies, improving sustainability and precision in farming 🌿🚜.

Publications πŸ“š

Forecasting of Fusarium head blight spatial distribution in winter wheat using machine learning
Authors: Morellos, A., Pantazi, X.E., Almoujahed, M.B., Ε arauskis, E., Mouazen, A.M.
Journal: Computers and Electronics in Agriculture (2025)
πŸŒΎπŸ’»

Non-Destructive Quality Estimation Using a Machine Learning-Based Spectroscopic Approach in Kiwifruits
Authors: Tziotzios, G., Pantazi, X.E., Paraskevas, C., Michailidis, M., Molassiotis, A.
Journal: Horticulturae (2024)
πŸ₯πŸ“Š

A Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop
Authors: Dolaptsis, K., Pantazi, X.E., Paraskevas, C., Bustan, D., Mouazen, A.M.
Journal: Agriculture (2024)
πŸŒΎπŸ€–

Application of Machine Learning for Disease Detection Tasks in Olive Trees Using Hyperspectral Data
Authors: Navrozidis, I., Pantazi, X.E., Lagopodi, A., Bochtis, D., Alexandridis, T.K.
Journal: Remote Sensing (2023)
πŸŒΏπŸ’»

Early Detection of Cavitation in Centrifugal Pumps Using Low-Cost Vibration and Sound Sensors
Authors: Karagiovanidis, M., Pantazi, X.E., Papamichail, D., Fragos, V.
Journal: Agriculture (2023)
βš™οΈπŸ”Š

Prof. Dr Paulus Wisnu Anggoro | Heat Treatment | Best Researcher Award

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Prof. Dr Paulus Wisnu Anggoro | Heat Treatment | Best Researcher Award

Prof. Dr. Paulus Wisnu Anggoro is a distinguished researcher and professor at Atma Jaya Yogyakarta University. He holds a Ph.D. in Mechanical Engineering from Diponegoro University (2018), specializing in computer-aided reverse engineering for diabetic orthotic shoe design. His expertise spans CAD/CAM, reverse engineering, additive manufacturing, and biomedical device innovation. With over 45 publications, Dr. Anggoro has earned accolades like the Best Paper Award (2019) and the Kedaireka Grant (2021). His dedication to integrating technology with sustainable solutions continues to advance engineering and health sciences, making him a leading figure in his field. πŸŒπŸ†πŸ“–

Prof. Dr Paulus Wisnu Anggoro University of Atma Jaya Yogyakarta, IndonesiaΒ 

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Education πŸŽ“

Prof. Dr. Paulus Wisnu Anggoro has an outstanding educational background. He earned his Bachelor’s degree in Mechanical Engineering from Diponegoro University (1996), where he researched incompressible rotodynamic machines. He pursued his Master’s in Industrial Engineering at Institut Sepuluh Nopember Surabaya (ITS) (2002), focusing on geometric tolerance in product processing. Dr. Anggoro completed his Ph.D. in Mechanical Engineering at Diponegoro University (2018), pioneering computer-aided reverse engineering for orthotic shoe design in diabetic patients. He also completed Professional Engineer Education at Widya Mandala Catholic University, earning a Master Professional Engineer (IPU) certification in 2022. πŸŒŸπŸ“˜βœ¨

Research Experience πŸ”¬

Prof. Dr. Paulus Wisnu Anggoro has led groundbreaking research in reverse engineering and innovative design. His projects include developing Islamic ceramic tiles (2014) and orthotic shoes for diabetic patients (2017). From 2019-2021, he pioneered ankle-foot orthotics (AFO) and prosthetic knee technologies, funded by the Ministry of Research with over IDR 2 billion. He advanced Indonesian ceramic designs and artistic CAD/CAM technology for export products (2021-2022). Currently, he is working on a novel 3D printer for biomedical products and artificial knee joint design (2023-2025). His innovative solutions blend cultural heritage with modern manufacturing. πŸ–ŒοΈβš™οΈβœ¨

Awards πŸ†

Prof. Dr. Paulus Wisnu Anggoro has earned prestigious accolades for his innovative contributions to engineering and technology. In 2019, he received the Best Paper Award at the International Multi-Conference on Engineering and Technology Innovation in Taiwan, highlighting his impactful research. In 2021, he was honored with the Kedaireka Grant at UAJY’s Dies Natalis for his pioneering work on cultural ceramic product development. These achievements underscore his dedication to advancing engineering innovation while promoting Indonesian cultural heritage. πŸŒπŸ–ŒοΈπŸ”¬

Research Focus πŸ”βœ¨

Prof. Dr. Paulus Wisnu Anggoro’s research focuses on advanced manufacturing and engineering innovation. His expertise spans reverse engineering πŸ› οΈ, additive manufacturing (3D/4D printing) πŸ–¨οΈ, and optimization techniques like Taguchi and RSM. He pioneers solutions in orthotic shoe design for diabetic patients πŸ‘Ÿ, biomedical implants, and ceramic product development 🏺. His work also includes sustainable engineering 🌱, such as carbon footprint modeling in ceramics and ergonomic product fabrication. Dr. Anggoro’s interdisciplinary approach bridges technology and practical applications, revolutionizing healthcare products and cultural innovations for impactful real-world solutions. πŸš€

PublicationsΒ πŸ“š

“Computer-aided reverse engineering system in the design and production of orthotic insole shoes for patients with diabetes”
Authors: Paulus Wisnu Anggoro, M. Tauviqirrahman, J. Jamari, A.P. Bayuseno, B. Bawono
Journal: Cogent Engineering

“Advanced Modeling of Production Time for Insole Orthotic Clubfoot Shoes Based on Hybrid Taguchi and Response Surface Methodology Approach”
Authors: P.W. Anggoro, B. Bawono, D.B. Setyohadi, L. Ratnasari, P.K. Fergiawan, M. Tauviqirrahman, J. Jamari, A.P. Bayuseno
Journal: SSRN Electronic Journal

“Reverse engineering technology in redesign process ceramics: application for CNN plate”
Authors: P.W. Anggoro, B. Bawono, I. Sujatmiko
Journal: Procedia Manufacturing

“A 3-dimensional finite element analysis of the insole shoe orthotic for foot deformities”
Authors: P.W. Anggoro, E. Saputra, M. Tauviqirrahman, J. Jamari, A.P. Bayuseno
Journal: International Journal of Applied Engineering Research

“Optimisation of cutting parameters of new material orthotic insole using a Taguchi and response surface methodology approach”
Authors: P.W. Anggoro, Y. Purharyono, A.A. Anthony, M. Tauviqirrahman
Journal: Alexandria Engineering Journal

Mr Sicheng Wang | Smart Materials | Best Researcher Award

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Mr Sicheng Wang | Smart Materials | Best Researcher Award

Mr Sicheng Wang, Beijing University of Posts and Telecommunications, China

Mr. Sicheng Wang, a graduate in Information and Computing Science from Beijing University of Posts and Telecommunications, excels in applying artificial intelligence and machine learning to energy systems. He has authored three notable papers, including one published in the SCI-indexed journal Computers and Electrical Engineering, focusing on spatio-temporal PV prediction. Recognized with multiple national awards, such as the Second Prize in Mathematical Modeling and the Bronze Award in Innovation Competitions, Mr. Wang showcases exceptional research and problem-solving skills. His work in energy management and smart grids highlights his vision for sustainable technology solutions. πŸ†βš‘πŸ“š

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Academic Excellence πŸŽ“πŸ“Š

Mr. Sicheng Wang holds a degree in Information and Computing Science from Beijing University of Posts and Telecommunications, demonstrating a solid foundation in computational methods and data-driven research. His academic journey is distinguished by multiple prestigious awards, including the Second Prize in the National Undergraduate Mathematical Modeling Contest and the Bronze Award in the China International College Students’ Innovation Competition. These achievements reflect his exceptional analytical thinking, problem-solving abilities, and commitment to academic excellence. His dedication to applying advanced computational techniques makes him a standout in his field. πŸ…πŸ”¬βœ¨

Awards and Competitions πŸ†πŸ“š

Mr. Sicheng Wang has earned multiple prestigious awards in national and provincial competitions, highlighting his excellence in innovation and problem-solving. In September 2023, he secured the Second Prize in the National Undergraduate Mathematical Modeling Contest. He later achieved the Bronze Award in the China International College Students’ Innovation Competition in September 2024. Additionally, he won the Third Prize in the National Undergraduate Computer Design Contest (June 2024) and the First Prize in the Beijing Division of the Innovation Competition (July 2024). His accolades also include a Second Prize in the National Undergraduate Mathematics Contest (October 2023). πŸ…πŸ”’βœ¨

Academic Engagement πŸŽ“πŸ’Ό

He has been actively engaged in advanced studies and research in Information and Computing Science, focusing on innovative applications of artificial intelligence and machine learning. His academic involvement includes participation in high-impact research projects and national competitions, showcasing his dedication to both theoretical and practical advancements in technology. His ongoing commitment to research and learning reflects his drive for excellence in the field of computing. πŸ§ πŸ”¬πŸ“Š

Research Focusβš‘πŸ”¬

Mr. Sicheng Wang’s research focuses on the application of artificial intelligence and machine learning in energy systems and smart grids. He has authored several high-impact papers, including a study on spatio-temporal PV prediction using a convolutional-based hybrid network, published in Computers and Electrical Engineering (SCI Q3, IF 4.0). His other notable works include an AI diagnostic model presented at AUTEEE 2023 and a multi-task learning framework for medium-term load forecasting accepted at APPEEC 2024. His research addresses critical challenges in energy prediction and management, contributing to sustainable technological advancements. πŸ§ πŸ“Šβš‘

 

Dr. Adeel Hussain Chughtai | Nanomaterials | Best Researcher Award

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Dr. Adeel Hussain Chughtai | Nanomaterials | Best Researcher Award

Dr. Adeel Hussain Chughtai, Bahauddin Zakariya University, Pakistan

Dr. Adeel Hussain Chughtai, Associate Professor at the Institute of Chemical Sciences, Bahauddin Zakariya University, Pakistan, is a distinguished researcher in chemistry and materials science. πŸŒŸπŸ”¬ He specializes in functionalized mesoporous metal-organic frameworks (MOFs), catalysis, and nanomaterials, contributing to energy, environmental, and medical applications. πŸ§ͺ⚑ Dr. Chughtai has authored 39 high-impact articles, with over 2893 citations, and holds an impressive h-index of 16. πŸ“šβœ¨ A mentor to 40+ MS/M.Phil. and Ph.D. scholars, he has secured multiple research grants and received prestigious awards, including Pakistan’s Research Productivity Award. πŸ…πŸŒ His impactful research and academic leadership mark him as a global thought leader. πŸ‘¨β€πŸ«πŸŒ

Publication Profile

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Academic and Professional Background πŸŽ“πŸ’Ό

Dr. Adeel Hussain Chughtai has an extensive academic and professional background in organic chemistry. πŸŒŸπŸ‘¨β€πŸ« He develops and teaches theory and lab courses at graduate and undergraduate levels, fostering a deep understanding of the subject. πŸ§ͺπŸ“˜ As a principal investigator, he independently designs research projects, secures grants, and leads innovative studies. πŸ§‘β€πŸ”¬πŸ’‘ Dr. Chughtai has mentored numerous MS/M.Phil. and Ph.D. students, guiding their academic progress and career development. πŸŽ“πŸ€ Beyond academics, he actively contributes to his department, university, and community in various capacities, showcasing his dedication to education and scientific advancement. 🌍✨

Research and InnovationsπŸ”¬πŸ“–

Dr. Adeel Hussain Chughtai has led impactful research projects focused on mesoporous metal-organic frameworks (MOFs) for catalytic applications. πŸ§ͺ✨ Key projects include developing amide-functionalized mesoporous MOFs for Knoevenagel condensation, funded with 0.25 million PKR (2020-2021), and synthesizing Pd-functionalized MOFs for heterogeneous and photocatalysis, supported by 0.2 million PKR (2017-2018). πŸ’‘πŸ”¬ His research, cited 2893 times (h-index: 16, i10-index: 22), highlights his influence in materials science. πŸ“ŠπŸ“– Dr. Chughtai also contributed a chapter in Biochemistry of Drug Resistance (Springer, 2021), emphasizing his interdisciplinary expertise in catalysis and drug resistance. πŸ“šπŸŒŸ

Research Focus Area 🌱🧬

Dr. Adeel Hussain Chughtai’s research focuses on metal-organic frameworks (MOFs), heterogeneous catalysis, and nanomaterials for advanced applications in energy, environment, and medicine. πŸ§ͺ🌱 His highly cited works include MOFs for organic transformations, dye adsorption, and photocatalysis. πŸŒŸπŸ”¬ He also explores nanostructured materials like ferrites, carbon dots, and CeOβ‚‚ composites for applications in water splitting, oxygen evolution reactions (OER), and sustainable energy systems. βš‘πŸ’§ With an h-index of 16 and 2893 citations, Dr. Chughtai’s impactful contributions span catalysis, electrocatalysis, and materials chemistry, emphasizing innovative solutions for global challenges in clean energy and environmental remediation. πŸŒπŸ’‘

Publication Top NotesπŸ“„βœ¨

Fabrication of Ni–MOF-derived composite material for efficient electrocatalytic OER

A facile synthesis of CeO2Β from the GO@Ce-MOF precursor and its efficient performance in the oxygen evolution reaction

Structural elucidation and dielectric behavior evaluation of Dy–Ni substituted manganese ferrites

Antiplatelet activity, molecular docking and QSAR study of novelΒ Nβ€²-arylmethylidene-3-methyl-1-phenyl-6-p-chlorophenyl-1H-pyrazolo[3,4-b] pyridine-4 …

Mono-and dinuclear organotin (IV) complexes for solvent free cycloaddition of CO2 to epoxides at ambient pressure

Development of Mixed metal Metal-organic polyhedra networks, colloids, and MOFs and their Pharmacokinetic applications

A Robust Molecular Catalyst Generated In Situ for Photo‐and Electrochemical Water Oxidation

Facile synthesis of novel carbon dots@ metal organic framework composite for remarkable and highly sustained oxygen evolution reaction

Ag2Se/SnTe nanorod as potential candidate for energy conversion system developed via hydrothermal route

Synthesis of 2D MOF having potential for efficient dye adsorption and catalytic applications

Conclusion πŸ†

Dr. Chughtai’s distinguished contributions to chemistry and materials science, his impactful research output, and his dedication to teaching and mentorship make him a strong contender for the “Best Researcher Award.” His innovative work in MOFs, catalysis, and nanomaterials positions him as a leader in his field, with research that addresses critical challenges in energy, environment, and medicine.